From bc551e6459edb36c75c16f351d1c57531f65ca8e Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Tue, 11 Mar 2025 14:44:49 -0700 Subject: [PATCH 01/73] datasets api Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: --- llama_stack/apis/datasets/datasets.py | 50 ++++++++++++++++++++++----- 1 file changed, 42 insertions(+), 8 deletions(-) diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index fe9d30e2a..840ab6b95 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -4,6 +4,7 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. +from enum import Enum from typing import Any, Dict, List, Literal, Optional, Protocol from pydantic import BaseModel, Field @@ -14,9 +15,26 @@ from llama_stack.apis.resource import Resource, ResourceType from llama_stack.schema_utils import json_schema_type, webmethod +@json_schema_type +class Schema(Enum): + """ + Schema of the dataset. Each type has a different column format. + :cvar jsonl_messages: The dataset is a JSONL file with messages. Examples: + { + "messages": [ + {"role": "user", "content": "Hello, world!"}, + {"role": "assistant", "content": "Hello, world!"}, + ] + } + """ + + jsonl_messages = "jsonl_messages" + # TODO: add more schemas here + + class CommonDatasetFields(BaseModel): - dataset_schema: Dict[str, ParamType] - url: URL + schema: Schema + uri: str metadata: Dict[str, Any] = Field( default_factory=dict, description="Any additional metadata for this dataset", @@ -50,13 +68,29 @@ class Datasets(Protocol): @webmethod(route="/datasets", method="POST") async def register_dataset( self, - dataset_id: str, - dataset_schema: Dict[str, ParamType], - url: URL, - provider_dataset_id: Optional[str] = None, - provider_id: Optional[str] = None, + schema: Schema, + uri: str, + uri_params: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, Any]] = None, - ) -> None: ... + dataset_id: Optional[str] = None, + ) -> Dataset: + """ + Register a new dataset through a file or + + :param schema: The schema format of the dataset. One of + - jsonl_messages: The dataset is a JSONL file with messages in column format + :param uri: The URI of the dataset. Examples: + - file://mydata.jsonl + - s3://mybucket/myfile.jsonl + - https://mywebsite.com/myfile.jsonl + - huggingface://tatsu-lab/alpaca + :param uri_params: The parameters for the URI. + - E.g. If URL is a huggingface dataset, parameters could be uri_params={"split": "train"} + :param metadata: The metadata for the dataset. + - E.g. {"description": "My dataset"} + :param dataset_id: The ID of the dataset. If not provided, a random ID will be generated. + """ + ... @webmethod(route="/datasets/{dataset_id:path}", method="GET") async def get_dataset( From 8592c2b48a76e4f1aafaacd8ed594cb5ebf1975f Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Tue, 11 Mar 2025 14:56:12 -0700 Subject: [PATCH 02/73] precommit --- llama_stack/apis/datasets/datasets.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 840ab6b95..b3d3483bb 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -9,8 +9,6 @@ from typing import Any, Dict, List, Literal, Optional, Protocol from pydantic import BaseModel, Field -from llama_stack.apis.common.content_types import URL -from llama_stack.apis.common.type_system import ParamType from llama_stack.apis.resource import Resource, ResourceType from llama_stack.schema_utils import json_schema_type, webmethod From 0e8a53ab6901a0f013e6a8c8e09a501af7326b5c Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Tue, 11 Mar 2025 15:03:48 -0700 Subject: [PATCH 03/73] openapi --- docs/_static/llama-stack-spec.html | 484 +++++++++++++++-------------- docs/_static/llama-stack-spec.yaml | 337 ++++++++++---------- 2 files changed, 439 insertions(+), 382 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index b0febbbef..71437bd90 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -2493,7 +2493,14 @@ "post": { "responses": { "200": { - "description": "OK" + "description": "OK", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Dataset" + } + } + } }, "400": { "$ref": "#/components/responses/BadRequest400" @@ -2511,7 +2518,7 @@ "tags": [ "Datasets" ], - "description": "", + "description": "Register a new dataset through a file or", "parameters": [], "requestBody": { "content": { @@ -6831,81 +6838,6 @@ ], "title": "Benchmark" }, - "AgentTurnInputType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "agent_turn_input", - "default": "agent_turn_input" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "AgentTurnInputType" - }, - "ArrayType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "array", - "default": "array" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "ArrayType" - }, - "BooleanType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "boolean", - "default": "boolean" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "BooleanType" - }, - "ChatCompletionInputType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "chat_completion_input", - "default": "chat_completion_input" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "ChatCompletionInputType" - }, - "CompletionInputType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "completion_input", - "default": "completion_input" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "CompletionInputType" - }, "Dataset": { "type": "object", "properties": { @@ -6923,14 +6855,11 @@ "const": "dataset", "default": "dataset" }, - "dataset_schema": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/ParamType" - } + "schema": { + "$ref": "#/components/schemas/Schema" }, - "url": { - "$ref": "#/components/schemas/URL" + "uri": { + "type": "string" }, "metadata": { "type": "object", @@ -6964,135 +6893,19 @@ "provider_resource_id", "provider_id", "type", - "dataset_schema", - "url", + "schema", + "uri", "metadata" ], "title": "Dataset" }, - "JsonType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "json", - "default": "json" - } - }, - "additionalProperties": false, - "required": [ - "type" + "Schema": { + "type": "string", + "enum": [ + "jsonl_messages" ], - "title": "JsonType" - }, - "NumberType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "number", - "default": "number" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "NumberType" - }, - "ObjectType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "object", - "default": "object" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "ObjectType" - }, - "ParamType": { - "oneOf": [ - { - "$ref": "#/components/schemas/StringType" - }, - { - "$ref": "#/components/schemas/NumberType" - }, - { - "$ref": "#/components/schemas/BooleanType" - }, - { - "$ref": "#/components/schemas/ArrayType" - }, - { - "$ref": "#/components/schemas/ObjectType" - }, - { - "$ref": "#/components/schemas/JsonType" - }, - { - "$ref": "#/components/schemas/UnionType" - }, - { - "$ref": "#/components/schemas/ChatCompletionInputType" - }, - { - "$ref": "#/components/schemas/CompletionInputType" - }, - { - "$ref": "#/components/schemas/AgentTurnInputType" - } - ], - "discriminator": { - "propertyName": "type", - "mapping": { - "string": "#/components/schemas/StringType", - "number": "#/components/schemas/NumberType", - "boolean": "#/components/schemas/BooleanType", - "array": "#/components/schemas/ArrayType", - "object": "#/components/schemas/ObjectType", - "json": "#/components/schemas/JsonType", - "union": "#/components/schemas/UnionType", - "chat_completion_input": "#/components/schemas/ChatCompletionInputType", - "completion_input": "#/components/schemas/CompletionInputType", - "agent_turn_input": "#/components/schemas/AgentTurnInputType" - } - } - }, - "StringType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "string", - "default": "string" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "StringType" - }, - "UnionType": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "union", - "default": "union" - } - }, - "additionalProperties": false, - "required": [ - "type" - ], - "title": "UnionType" + "title": "Schema", + "description": "Schema of the dataset. Each type has a different column format." }, "Model": { "type": "object", @@ -7209,6 +7022,175 @@ "title": "PaginatedRowsResult", "description": "A paginated list of rows from a dataset." }, + "AgentTurnInputType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "agent_turn_input", + "default": "agent_turn_input" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "AgentTurnInputType" + }, + "ArrayType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "array", + "default": "array" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "ArrayType" + }, + "BooleanType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "boolean", + "default": "boolean" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "BooleanType" + }, + "ChatCompletionInputType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "chat_completion_input", + "default": "chat_completion_input" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "ChatCompletionInputType" + }, + "CompletionInputType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "completion_input", + "default": "completion_input" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "CompletionInputType" + }, + "JsonType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "json", + "default": "json" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "JsonType" + }, + "NumberType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "number", + "default": "number" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "NumberType" + }, + "ObjectType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "object", + "default": "object" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "ObjectType" + }, + "ParamType": { + "oneOf": [ + { + "$ref": "#/components/schemas/StringType" + }, + { + "$ref": "#/components/schemas/NumberType" + }, + { + "$ref": "#/components/schemas/BooleanType" + }, + { + "$ref": "#/components/schemas/ArrayType" + }, + { + "$ref": "#/components/schemas/ObjectType" + }, + { + "$ref": "#/components/schemas/JsonType" + }, + { + "$ref": "#/components/schemas/UnionType" + }, + { + "$ref": "#/components/schemas/ChatCompletionInputType" + }, + { + "$ref": "#/components/schemas/CompletionInputType" + }, + { + "$ref": "#/components/schemas/AgentTurnInputType" + } + ], + "discriminator": { + "propertyName": "type", + "mapping": { + "string": "#/components/schemas/StringType", + "number": "#/components/schemas/NumberType", + "boolean": "#/components/schemas/BooleanType", + "array": "#/components/schemas/ArrayType", + "object": "#/components/schemas/ObjectType", + "json": "#/components/schemas/JsonType", + "union": "#/components/schemas/UnionType", + "chat_completion_input": "#/components/schemas/ChatCompletionInputType", + "completion_input": "#/components/schemas/CompletionInputType", + "agent_turn_input": "#/components/schemas/AgentTurnInputType" + } + } + }, "ScoringFn": { "type": "object", "properties": { @@ -7272,6 +7254,36 @@ ], "title": "ScoringFn" }, + "StringType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "string", + "default": "string" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "StringType" + }, + "UnionType": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "union", + "default": "union" + } + }, + "additionalProperties": false, + "required": [ + "type" + ], + "title": "UnionType" + }, "Shield": { "type": "object", "properties": { @@ -9242,23 +9254,39 @@ "RegisterDatasetRequest": { "type": "object", "properties": { - "dataset_id": { - "type": "string" + "schema": { + "$ref": "#/components/schemas/Schema", + "description": "The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format" }, - "dataset_schema": { + "uri": { + "type": "string", + "description": "The URI of the dataset. Examples: - file://mydata.jsonl - s3://mybucket/myfile.jsonl - https://mywebsite.com/myfile.jsonl - huggingface://tatsu-lab/alpaca" + }, + "uri_params": { "type": "object", "additionalProperties": { - "$ref": "#/components/schemas/ParamType" - } - }, - "url": { - "$ref": "#/components/schemas/URL" - }, - "provider_dataset_id": { - "type": "string" - }, - "provider_id": { - "type": "string" + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + }, + "description": "The parameters for the URI. - E.g. If URL is a huggingface dataset, parameters could be uri_params={\"split\": \"train\"}" }, "metadata": { "type": "object", @@ -9283,14 +9311,18 @@ "type": "object" } ] - } + }, + "description": "The metadata for the dataset. - E.g. {\"description\": \"My dataset\"}" + }, + "dataset_id": { + "type": "string", + "description": "The ID of the dataset. If not provided, a random ID will be generated." } }, "additionalProperties": false, "required": [ - "dataset_id", - "dataset_schema", - "url" + "schema", + "uri" ], "title": "RegisterDatasetRequest" }, diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 2985e6222..5f8d0e522 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -1682,6 +1682,10 @@ paths: responses: '200': description: OK + content: + application/json: + schema: + $ref: '#/components/schemas/Dataset' '400': $ref: '#/components/responses/BadRequest400' '429': @@ -1694,7 +1698,7 @@ paths: $ref: '#/components/responses/DefaultError' tags: - Datasets - description: '' + description: Register a new dataset through a file or parameters: [] requestBody: content: @@ -4727,61 +4731,6 @@ components: - scoring_functions - metadata title: Benchmark - AgentTurnInputType: - type: object - properties: - type: - type: string - const: agent_turn_input - default: agent_turn_input - additionalProperties: false - required: - - type - title: AgentTurnInputType - ArrayType: - type: object - properties: - type: - type: string - const: array - default: array - additionalProperties: false - required: - - type - title: ArrayType - BooleanType: - type: object - properties: - type: - type: string - const: boolean - default: boolean - additionalProperties: false - required: - - type - title: BooleanType - ChatCompletionInputType: - type: object - properties: - type: - type: string - const: chat_completion_input - default: chat_completion_input - additionalProperties: false - required: - - type - title: ChatCompletionInputType - CompletionInputType: - type: object - properties: - type: - type: string - const: completion_input - default: completion_input - additionalProperties: false - required: - - type - title: CompletionInputType Dataset: type: object properties: @@ -4795,12 +4744,10 @@ components: type: string const: dataset default: dataset - dataset_schema: - type: object - additionalProperties: - $ref: '#/components/schemas/ParamType' - url: - $ref: '#/components/schemas/URL' + schema: + $ref: '#/components/schemas/Schema' + uri: + type: string metadata: type: object additionalProperties: @@ -4817,90 +4764,17 @@ components: - provider_resource_id - provider_id - type - - dataset_schema - - url + - schema + - uri - metadata title: Dataset - JsonType: - type: object - properties: - type: - type: string - const: json - default: json - additionalProperties: false - required: - - type - title: JsonType - NumberType: - type: object - properties: - type: - type: string - const: number - default: number - additionalProperties: false - required: - - type - title: NumberType - ObjectType: - type: object - properties: - type: - type: string - const: object - default: object - additionalProperties: false - required: - - type - title: ObjectType - ParamType: - oneOf: - - $ref: '#/components/schemas/StringType' - - $ref: '#/components/schemas/NumberType' - - $ref: '#/components/schemas/BooleanType' - - $ref: '#/components/schemas/ArrayType' - - $ref: '#/components/schemas/ObjectType' - - $ref: '#/components/schemas/JsonType' - - $ref: '#/components/schemas/UnionType' - - $ref: '#/components/schemas/ChatCompletionInputType' - - $ref: '#/components/schemas/CompletionInputType' - - $ref: '#/components/schemas/AgentTurnInputType' - discriminator: - propertyName: type - mapping: - string: '#/components/schemas/StringType' - number: '#/components/schemas/NumberType' - boolean: '#/components/schemas/BooleanType' - array: '#/components/schemas/ArrayType' - object: '#/components/schemas/ObjectType' - json: '#/components/schemas/JsonType' - union: '#/components/schemas/UnionType' - chat_completion_input: '#/components/schemas/ChatCompletionInputType' - completion_input: '#/components/schemas/CompletionInputType' - agent_turn_input: '#/components/schemas/AgentTurnInputType' - StringType: - type: object - properties: - type: - type: string - const: string - default: string - additionalProperties: false - required: - - type - title: StringType - UnionType: - type: object - properties: - type: - type: string - const: union - default: union - additionalProperties: false - required: - - type - title: UnionType + Schema: + type: string + enum: + - jsonl_messages + title: Schema + description: >- + Schema of the dataset. Each type has a different column format. Model: type: object properties: @@ -4970,6 +4844,119 @@ components: - total_count title: PaginatedRowsResult description: A paginated list of rows from a dataset. + AgentTurnInputType: + type: object + properties: + type: + type: string + const: agent_turn_input + default: agent_turn_input + additionalProperties: false + required: + - type + title: AgentTurnInputType + ArrayType: + type: object + properties: + type: + type: string + const: array + default: array + additionalProperties: false + required: + - type + title: ArrayType + BooleanType: + type: object + properties: + type: + type: string + const: boolean + default: boolean + additionalProperties: false + required: + - type + title: BooleanType + ChatCompletionInputType: + type: object + properties: + type: + type: string + const: chat_completion_input + default: chat_completion_input + additionalProperties: false + required: + - type + title: ChatCompletionInputType + CompletionInputType: + type: object + properties: + type: + type: string + const: completion_input + default: completion_input + additionalProperties: false + required: + - type + title: CompletionInputType + JsonType: + type: object + properties: + type: + type: string + const: json + default: json + additionalProperties: false + required: + - type + title: JsonType + NumberType: + type: object + properties: + type: + type: string + const: number + default: number + additionalProperties: false + required: + - type + title: NumberType + ObjectType: + type: object + properties: + type: + type: string + const: object + default: object + additionalProperties: false + required: + - type + title: ObjectType + ParamType: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + - $ref: '#/components/schemas/AgentTurnInputType' + discriminator: + propertyName: type + mapping: + string: '#/components/schemas/StringType' + number: '#/components/schemas/NumberType' + boolean: '#/components/schemas/BooleanType' + array: '#/components/schemas/ArrayType' + object: '#/components/schemas/ObjectType' + json: '#/components/schemas/JsonType' + union: '#/components/schemas/UnionType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + agent_turn_input: '#/components/schemas/AgentTurnInputType' ScoringFn: type: object properties: @@ -5008,6 +4995,28 @@ components: - metadata - return_type title: ScoringFn + StringType: + type: object + properties: + type: + type: string + const: string + default: string + additionalProperties: false + required: + - type + title: StringType + UnionType: + type: object + properties: + type: + type: string + const: union + default: union + additionalProperties: false + required: + - type + title: UnionType Shield: type: object properties: @@ -6262,18 +6271,29 @@ components: RegisterDatasetRequest: type: object properties: - dataset_id: + schema: + $ref: '#/components/schemas/Schema' + description: >- + The schema format of the dataset. One of - jsonl_messages: The dataset + is a JSONL file with messages in column format + uri: type: string - dataset_schema: + description: >- + The URI of the dataset. Examples: - file://mydata.jsonl - s3://mybucket/myfile.jsonl + - https://mywebsite.com/myfile.jsonl - huggingface://tatsu-lab/alpaca + uri_params: type: object additionalProperties: - $ref: '#/components/schemas/ParamType' - url: - $ref: '#/components/schemas/URL' - provider_dataset_id: - type: string - provider_id: - type: string + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The parameters for the URI. - E.g. If URL is a huggingface dataset, parameters + could be uri_params={"split": "train"} metadata: type: object additionalProperties: @@ -6284,11 +6304,16 @@ components: - type: string - type: array - type: object + description: >- + The metadata for the dataset. - E.g. {"description": "My dataset"} + dataset_id: + type: string + description: >- + The ID of the dataset. If not provided, a random ID will be generated. additionalProperties: false required: - - dataset_id - - dataset_schema - - url + - schema + - uri title: RegisterDatasetRequest RegisterModelRequest: type: object From 02aa9a1e85bea0eae2cc24a85e647b8e7e0f999d Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Tue, 11 Mar 2025 16:08:06 -0700 Subject: [PATCH 04/73] remove json_schema_type decorator --- llama_stack/apis/datasets/datasets.py | 1 - 1 file changed, 1 deletion(-) diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index b3d3483bb..157431ed2 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -13,7 +13,6 @@ from llama_stack.apis.resource import Resource, ResourceType from llama_stack.schema_utils import json_schema_type, webmethod -@json_schema_type class Schema(Enum): """ Schema of the dataset. Each type has a different column format. From 0e47c650515e8e6bf7436f4e31ab152612baa888 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Tue, 11 Mar 2025 18:29:55 -0700 Subject: [PATCH 05/73] update --- docs/_static/llama-stack-spec.html | 185 ++++++++++++++++++++------ docs/_static/llama-stack-spec.yaml | 122 +++++++++++++---- llama_stack/apis/datasets/datasets.py | 69 ++++++++-- 3 files changed, 294 insertions(+), 82 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 71437bd90..1df7a63a1 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -6838,6 +6838,27 @@ ], "title": "Benchmark" }, + "DataReference": { + "oneOf": [ + { + "$ref": "#/components/schemas/URIDataReference" + }, + { + "$ref": "#/components/schemas/HuggingfaceDataReference" + }, + { + "$ref": "#/components/schemas/RowsDataReference" + } + ], + "discriminator": { + "propertyName": "type", + "mapping": { + "uri": "#/components/schemas/URIDataReference", + "huggingface": "#/components/schemas/HuggingfaceDataReference", + "rows": "#/components/schemas/RowsDataReference" + } + } + }, "Dataset": { "type": "object", "properties": { @@ -6856,10 +6877,15 @@ "default": "dataset" }, "schema": { - "$ref": "#/components/schemas/Schema" + "type": "string", + "enum": [ + "jsonl_messages" + ], + "title": "Schema", + "description": "Schema of the dataset. Each type has a different column format." }, - "uri": { - "type": "string" + "data_reference": { + "$ref": "#/components/schemas/DataReference" }, "metadata": { "type": "object", @@ -6894,18 +6920,118 @@ "provider_id", "type", "schema", - "uri", + "data_reference", "metadata" ], "title": "Dataset" }, - "Schema": { - "type": "string", - "enum": [ - "jsonl_messages" + "HuggingfaceDataReference": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "huggingface", + "default": "huggingface" + }, + "dataset_path": { + "type": "string" + }, + "params": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + } + } + }, + "additionalProperties": false, + "required": [ + "type", + "dataset_path", + "params" ], - "title": "Schema", - "description": "Schema of the dataset. Each type has a different column format." + "title": "HuggingfaceDataReference" + }, + "RowsDataReference": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "rows", + "default": "rows" + }, + "rows": { + "type": "array", + "items": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + } + } + } + }, + "additionalProperties": false, + "required": [ + "type", + "rows" + ], + "title": "RowsDataReference" + }, + "URIDataReference": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "uri", + "default": "uri" + }, + "uri": { + "type": "string" + } + }, + "additionalProperties": false, + "required": [ + "type", + "uri" + ], + "title": "URIDataReference" }, "Model": { "type": "object", @@ -9255,38 +9381,15 @@ "type": "object", "properties": { "schema": { - "$ref": "#/components/schemas/Schema", + "type": "string", + "enum": [ + "jsonl_messages" + ], "description": "The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format" }, - "uri": { - "type": "string", - "description": "The URI of the dataset. Examples: - file://mydata.jsonl - s3://mybucket/myfile.jsonl - https://mywebsite.com/myfile.jsonl - huggingface://tatsu-lab/alpaca" - }, - "uri_params": { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ] - }, - "description": "The parameters for the URI. - E.g. If URL is a huggingface dataset, parameters could be uri_params={\"split\": \"train\"}" + "data_reference": { + "$ref": "#/components/schemas/DataReference", + "description": "The data reference of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"huggingface\", \"dataset_path\": \"tatsu-lab/alpaca\", \"params\": { \"split\": \"train\" } } - { \"type\": \"rows\", \"rows\": [{\"message\": \"Hello, world!\"}] }" }, "metadata": { "type": "object", @@ -9322,7 +9425,7 @@ "additionalProperties": false, "required": [ "schema", - "uri" + "data_reference" ], "title": "RegisterDatasetRequest" }, diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 5f8d0e522..9d5ed17c7 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -4731,6 +4731,17 @@ components: - scoring_functions - metadata title: Benchmark + DataReference: + oneOf: + - $ref: '#/components/schemas/URIDataReference' + - $ref: '#/components/schemas/HuggingfaceDataReference' + - $ref: '#/components/schemas/RowsDataReference' + discriminator: + propertyName: type + mapping: + uri: '#/components/schemas/URIDataReference' + huggingface: '#/components/schemas/HuggingfaceDataReference' + rows: '#/components/schemas/RowsDataReference' Dataset: type: object properties: @@ -4745,9 +4756,14 @@ components: const: dataset default: dataset schema: - $ref: '#/components/schemas/Schema' - uri: type: string + enum: + - jsonl_messages + title: Schema + description: >- + Schema of the dataset. Each type has a different column format. + data_reference: + $ref: '#/components/schemas/DataReference' metadata: type: object additionalProperties: @@ -4765,16 +4781,72 @@ components: - provider_id - type - schema - - uri + - data_reference - metadata title: Dataset - Schema: - type: string - enum: - - jsonl_messages - title: Schema - description: >- - Schema of the dataset. Each type has a different column format. + HuggingfaceDataReference: + type: object + properties: + type: + type: string + const: huggingface + default: huggingface + dataset_path: + type: string + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - type + - dataset_path + - params + title: HuggingfaceDataReference + RowsDataReference: + type: object + properties: + type: + type: string + const: rows + default: rows + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - type + - rows + title: RowsDataReference + URIDataReference: + type: object + properties: + type: + type: string + const: uri + default: uri + uri: + type: string + additionalProperties: false + required: + - type + - uri + title: URIDataReference Model: type: object properties: @@ -6272,28 +6344,20 @@ components: type: object properties: schema: - $ref: '#/components/schemas/Schema' + type: string + enum: + - jsonl_messages description: >- The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format - uri: - type: string + data_reference: + $ref: '#/components/schemas/DataReference' description: >- - The URI of the dataset. Examples: - file://mydata.jsonl - s3://mybucket/myfile.jsonl - - https://mywebsite.com/myfile.jsonl - huggingface://tatsu-lab/alpaca - uri_params: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - The parameters for the URI. - E.g. If URL is a huggingface dataset, parameters - could be uri_params={"split": "train"} + The data reference of the dataset. Examples: - { "type": "uri", "uri": + "https://mywebsite.com/mydata.jsonl" } - { "type": "uri", "uri": "lsfs://mydata.jsonl" + } - { "type": "huggingface", "dataset_path": "tatsu-lab/alpaca", "params": + { "split": "train" } } - { "type": "rows", "rows": [{"message": "Hello, + world!"}] } metadata: type: object additionalProperties: @@ -6313,7 +6377,7 @@ components: additionalProperties: false required: - schema - - uri + - data_reference title: RegisterDatasetRequest RegisterModelRequest: type: object diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 157431ed2..049b6e8be 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -5,12 +5,12 @@ # the root directory of this source tree. from enum import Enum -from typing import Any, Dict, List, Literal, Optional, Protocol +from typing import Any, Dict, List, Literal, Optional, Protocol, Annotated, Union from pydantic import BaseModel, Field from llama_stack.apis.resource import Resource, ResourceType -from llama_stack.schema_utils import json_schema_type, webmethod +from llama_stack.schema_utils import json_schema_type, webmethod, register_schema class Schema(Enum): @@ -29,9 +29,42 @@ class Schema(Enum): # TODO: add more schemas here +class DatasetType(Enum): + huggingface = "huggingface" + uri = "uri" + rows = "rows" + + +@json_schema_type +class URIDataReference(BaseModel): + type: Literal["uri"] = "uri" + uri: str + + +@json_schema_type +class HuggingfaceDataReference(BaseModel): + type: Literal["huggingface"] = "huggingface" + dataset_path: str + params: Dict[str, Any] + + +@json_schema_type +class RowsDataReference(BaseModel): + type: Literal["rows"] = "rows" + rows: List[Dict[str, Any]] + + +DataReference = register_schema( + Annotated[ + Union[URIDataReference, HuggingfaceDataReference, RowsDataReference], + Field(discriminator="type"), + ], + name="DataReference", +) + class CommonDatasetFields(BaseModel): schema: Schema - uri: str + data_reference: DataReference metadata: Dict[str, Any] = Field( default_factory=dict, description="Any additional metadata for this dataset", @@ -66,8 +99,7 @@ class Datasets(Protocol): async def register_dataset( self, schema: Schema, - uri: str, - uri_params: Optional[Dict[str, Any]] = None, + data_reference: DataReference, metadata: Optional[Dict[str, Any]] = None, dataset_id: Optional[str] = None, ) -> Dataset: @@ -76,13 +108,26 @@ class Datasets(Protocol): :param schema: The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format - :param uri: The URI of the dataset. Examples: - - file://mydata.jsonl - - s3://mybucket/myfile.jsonl - - https://mywebsite.com/myfile.jsonl - - huggingface://tatsu-lab/alpaca - :param uri_params: The parameters for the URI. - - E.g. If URL is a huggingface dataset, parameters could be uri_params={"split": "train"} + :param data_reference: The data reference of the dataset. Examples: + - { + "type": "uri", + "uri": "https://mywebsite.com/mydata.jsonl" + } + - { + "type": "uri", + "uri": "lsfs://mydata.jsonl" + } + - { + "type": "huggingface", + "dataset_path": "tatsu-lab/alpaca", + "params": { + "split": "train" + } + } + - { + "type": "rows", + "rows": [{"message": "Hello, world!"}] + } :param metadata: The metadata for the dataset. - E.g. {"description": "My dataset"} :param dataset_id: The ID of the dataset. If not provided, a random ID will be generated. From 817331e76e61ebcba3706bc2dc034813ab5dc01f Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Tue, 11 Mar 2025 18:34:38 -0700 Subject: [PATCH 06/73] precommit --- llama_stack/apis/datasets/datasets.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 049b6e8be..f20edca31 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -5,12 +5,12 @@ # the root directory of this source tree. from enum import Enum -from typing import Any, Dict, List, Literal, Optional, Protocol, Annotated, Union +from typing import Annotated, Any, Dict, List, Literal, Optional, Protocol, Union from pydantic import BaseModel, Field from llama_stack.apis.resource import Resource, ResourceType -from llama_stack.schema_utils import json_schema_type, webmethod, register_schema +from llama_stack.schema_utils import json_schema_type, register_schema, webmethod class Schema(Enum): @@ -62,6 +62,7 @@ DataReference = register_schema( name="DataReference", ) + class CommonDatasetFields(BaseModel): schema: Schema data_reference: DataReference @@ -126,7 +127,14 @@ class Datasets(Protocol): } - { "type": "rows", - "rows": [{"message": "Hello, world!"}] + "rows": [ + { + "messages": [ + {"role": "user", "content": "Hello, world!"}, + {"role": "assistant", "content": "Hello, world!"}, + ] + } + ] } :param metadata: The metadata for the dataset. - E.g. {"description": "My dataset"} From 0abedd070cb7b54be95b77bff5ba2cf7537ee0e4 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 00:13:27 -0700 Subject: [PATCH 07/73] comment --- docs/_static/llama-stack-spec.html | 46 +++++++++++----------- docs/_static/llama-stack-spec.yaml | 55 ++++++++++++++------------- llama_stack/apis/datasets/datasets.py | 24 ++++++------ 3 files changed, 63 insertions(+), 62 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 1df7a63a1..5044594f3 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -2518,7 +2518,7 @@ "tags": [ "Datasets" ], - "description": "Register a new dataset through a file or", + "description": "Register a new dataset.", "parameters": [], "requestBody": { "content": { @@ -6838,24 +6838,24 @@ ], "title": "Benchmark" }, - "DataReference": { + "DataSource": { "oneOf": [ { - "$ref": "#/components/schemas/URIDataReference" + "$ref": "#/components/schemas/URIDataSource" }, { - "$ref": "#/components/schemas/HuggingfaceDataReference" + "$ref": "#/components/schemas/HuggingfaceDataSource" }, { - "$ref": "#/components/schemas/RowsDataReference" + "$ref": "#/components/schemas/RowsDataSource" } ], "discriminator": { "propertyName": "type", "mapping": { - "uri": "#/components/schemas/URIDataReference", - "huggingface": "#/components/schemas/HuggingfaceDataReference", - "rows": "#/components/schemas/RowsDataReference" + "uri": "#/components/schemas/URIDataSource", + "huggingface": "#/components/schemas/HuggingfaceDataSource", + "rows": "#/components/schemas/RowsDataSource" } } }, @@ -6879,13 +6879,13 @@ "schema": { "type": "string", "enum": [ - "jsonl_messages" + "messages" ], "title": "Schema", "description": "Schema of the dataset. Each type has a different column format." }, - "data_reference": { - "$ref": "#/components/schemas/DataReference" + "data_source": { + "$ref": "#/components/schemas/DataSource" }, "metadata": { "type": "object", @@ -6920,12 +6920,12 @@ "provider_id", "type", "schema", - "data_reference", + "data_source", "metadata" ], "title": "Dataset" }, - "HuggingfaceDataReference": { + "HuggingfaceDataSource": { "type": "object", "properties": { "type": { @@ -6968,9 +6968,9 @@ "dataset_path", "params" ], - "title": "HuggingfaceDataReference" + "title": "HuggingfaceDataSource" }, - "RowsDataReference": { + "RowsDataSource": { "type": "object", "properties": { "type": { @@ -7012,9 +7012,9 @@ "type", "rows" ], - "title": "RowsDataReference" + "title": "RowsDataSource" }, - "URIDataReference": { + "URIDataSource": { "type": "object", "properties": { "type": { @@ -7031,7 +7031,7 @@ "type", "uri" ], - "title": "URIDataReference" + "title": "URIDataSource" }, "Model": { "type": "object", @@ -9383,13 +9383,13 @@ "schema": { "type": "string", "enum": [ - "jsonl_messages" + "messages" ], "description": "The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format" }, - "data_reference": { - "$ref": "#/components/schemas/DataReference", - "description": "The data reference of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"huggingface\", \"dataset_path\": \"tatsu-lab/alpaca\", \"params\": { \"split\": \"train\" } } - { \"type\": \"rows\", \"rows\": [{\"message\": \"Hello, world!\"}] }" + "data_source": { + "$ref": "#/components/schemas/DataSource", + "description": "The data source of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"huggingface\", \"dataset_path\": \"tatsu-lab/alpaca\", \"params\": { \"split\": \"train\" } } - { \"type\": \"rows\", \"rows\": [ { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } ] }" }, "metadata": { "type": "object", @@ -9425,7 +9425,7 @@ "additionalProperties": false, "required": [ "schema", - "data_reference" + "data_source" ], "title": "RegisterDatasetRequest" }, diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 9d5ed17c7..692d537c4 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -1698,7 +1698,7 @@ paths: $ref: '#/components/responses/DefaultError' tags: - Datasets - description: Register a new dataset through a file or + description: Register a new dataset. parameters: [] requestBody: content: @@ -4731,17 +4731,17 @@ components: - scoring_functions - metadata title: Benchmark - DataReference: + DataSource: oneOf: - - $ref: '#/components/schemas/URIDataReference' - - $ref: '#/components/schemas/HuggingfaceDataReference' - - $ref: '#/components/schemas/RowsDataReference' + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/HuggingfaceDataSource' + - $ref: '#/components/schemas/RowsDataSource' discriminator: propertyName: type mapping: - uri: '#/components/schemas/URIDataReference' - huggingface: '#/components/schemas/HuggingfaceDataReference' - rows: '#/components/schemas/RowsDataReference' + uri: '#/components/schemas/URIDataSource' + huggingface: '#/components/schemas/HuggingfaceDataSource' + rows: '#/components/schemas/RowsDataSource' Dataset: type: object properties: @@ -4758,12 +4758,12 @@ components: schema: type: string enum: - - jsonl_messages + - messages title: Schema description: >- Schema of the dataset. Each type has a different column format. - data_reference: - $ref: '#/components/schemas/DataReference' + data_source: + $ref: '#/components/schemas/DataSource' metadata: type: object additionalProperties: @@ -4781,10 +4781,10 @@ components: - provider_id - type - schema - - data_reference + - data_source - metadata title: Dataset - HuggingfaceDataReference: + HuggingfaceDataSource: type: object properties: type: @@ -4808,8 +4808,8 @@ components: - type - dataset_path - params - title: HuggingfaceDataReference - RowsDataReference: + title: HuggingfaceDataSource + RowsDataSource: type: object properties: type: @@ -4832,8 +4832,8 @@ components: required: - type - rows - title: RowsDataReference - URIDataReference: + title: RowsDataSource + URIDataSource: type: object properties: type: @@ -4846,7 +4846,7 @@ components: required: - type - uri - title: URIDataReference + title: URIDataSource Model: type: object properties: @@ -6346,18 +6346,19 @@ components: schema: type: string enum: - - jsonl_messages + - messages description: >- The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format - data_reference: - $ref: '#/components/schemas/DataReference' + data_source: + $ref: '#/components/schemas/DataSource' description: >- - The data reference of the dataset. Examples: - { "type": "uri", "uri": - "https://mywebsite.com/mydata.jsonl" } - { "type": "uri", "uri": "lsfs://mydata.jsonl" - } - { "type": "huggingface", "dataset_path": "tatsu-lab/alpaca", "params": - { "split": "train" } } - { "type": "rows", "rows": [{"message": "Hello, - world!"}] } + The data source of the dataset. Examples: - { "type": "uri", "uri": "https://mywebsite.com/mydata.jsonl" + } - { "type": "uri", "uri": "lsfs://mydata.jsonl" } - { "type": "huggingface", + "dataset_path": "tatsu-lab/alpaca", "params": { "split": "train" } } - + { "type": "rows", "rows": [ { "messages": [ {"role": "user", "content": + "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}, ] + } ] } metadata: type: object additionalProperties: @@ -6377,7 +6378,7 @@ components: additionalProperties: false required: - schema - - data_reference + - data_source title: RegisterDatasetRequest RegisterModelRequest: type: object diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index f20edca31..5693c86ed 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -16,7 +16,7 @@ from llama_stack.schema_utils import json_schema_type, register_schema, webmetho class Schema(Enum): """ Schema of the dataset. Each type has a different column format. - :cvar jsonl_messages: The dataset is a JSONL file with messages. Examples: + :cvar messages: The dataset contains messages used for post-training. Examples: { "messages": [ {"role": "user", "content": "Hello, world!"}, @@ -25,7 +25,7 @@ class Schema(Enum): } """ - jsonl_messages = "jsonl_messages" + messages = "messages" # TODO: add more schemas here @@ -36,36 +36,36 @@ class DatasetType(Enum): @json_schema_type -class URIDataReference(BaseModel): +class URIDataSource(BaseModel): type: Literal["uri"] = "uri" uri: str @json_schema_type -class HuggingfaceDataReference(BaseModel): +class HuggingfaceDataSource(BaseModel): type: Literal["huggingface"] = "huggingface" dataset_path: str params: Dict[str, Any] @json_schema_type -class RowsDataReference(BaseModel): +class RowsDataSource(BaseModel): type: Literal["rows"] = "rows" rows: List[Dict[str, Any]] -DataReference = register_schema( +DataSource = register_schema( Annotated[ - Union[URIDataReference, HuggingfaceDataReference, RowsDataReference], + Union[URIDataSource, HuggingfaceDataSource, RowsDataSource], Field(discriminator="type"), ], - name="DataReference", + name="DataSource", ) class CommonDatasetFields(BaseModel): schema: Schema - data_reference: DataReference + data_source: DataSource metadata: Dict[str, Any] = Field( default_factory=dict, description="Any additional metadata for this dataset", @@ -100,16 +100,16 @@ class Datasets(Protocol): async def register_dataset( self, schema: Schema, - data_reference: DataReference, + data_source: DataSource, metadata: Optional[Dict[str, Any]] = None, dataset_id: Optional[str] = None, ) -> Dataset: """ - Register a new dataset through a file or + Register a new dataset. :param schema: The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format - :param data_reference: The data reference of the dataset. Examples: + :param data_source: The data source of the dataset. Examples: - { "type": "uri", "uri": "https://mywebsite.com/mydata.jsonl" From 1d80ec7f81a47c2d3cff79740211435de4f5f13e Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 00:17:58 -0700 Subject: [PATCH 08/73] upgrade doc --- docs/_static/llama-stack-spec.html | 2 +- docs/_static/llama-stack-spec.yaml | 4 ++-- llama_stack/apis/datasets/datasets.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 5044594f3..740bff6e4 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -9385,7 +9385,7 @@ "enum": [ "messages" ], - "description": "The schema format of the dataset. One of - jsonl_messages: The dataset is a JSONL file with messages in column format" + "description": "The schema format of the dataset. One of - messages: The dataset contains a messages column with list of messages for post-training." }, "data_source": { "$ref": "#/components/schemas/DataSource", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 692d537c4..c6f3c2327 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -6348,8 +6348,8 @@ components: enum: - messages description: >- - The schema format of the dataset. One of - jsonl_messages: The dataset - is a JSONL file with messages in column format + The schema format of the dataset. One of - messages: The dataset contains + a messages column with list of messages for post-training. data_source: $ref: '#/components/schemas/DataSource' description: >- diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 5693c86ed..4b3ce3e6f 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -108,7 +108,7 @@ class Datasets(Protocol): Register a new dataset. :param schema: The schema format of the dataset. One of - - jsonl_messages: The dataset is a JSONL file with messages in column format + - messages: The dataset contains a messages column with list of messages for post-training. :param data_source: The data source of the dataset. Examples: - { "type": "uri", From 18de4cd08ae8a2eaed8136934cceb709b2e8d95d Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 18:38:07 -0700 Subject: [PATCH 09/73] comments --- llama_stack/apis/datasets/datasets.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 4b3ce3e6f..b18dd204b 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -13,10 +13,10 @@ from llama_stack.apis.resource import Resource, ResourceType from llama_stack.schema_utils import json_schema_type, register_schema, webmethod -class Schema(Enum): +class DatasetPurpose(Enum): """ - Schema of the dataset. Each type has a different column format. - :cvar messages: The dataset contains messages used for post-training. Examples: + Purpose of the dataset. Each type has a different column format. + :cvar tuning/messages: The dataset contains messages used for post-training. Examples: { "messages": [ {"role": "user", "content": "Hello, world!"}, @@ -25,7 +25,8 @@ class Schema(Enum): } """ - messages = "messages" + tuning_messages = "tuning/messages" + # TODO: add more schemas here @@ -99,8 +100,8 @@ class Datasets(Protocol): @webmethod(route="/datasets", method="POST") async def register_dataset( self, - schema: Schema, - data_source: DataSource, + purpose: DatasetPurpose, + source: DataSource, metadata: Optional[Dict[str, Any]] = None, dataset_id: Optional[str] = None, ) -> Dataset: From a3173e8284501d7bd9c275733472deb571d4c30c Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 18:46:40 -0700 Subject: [PATCH 10/73] update --- docs/_static/llama-stack-spec.html | 49 ++++++++++++++++----------- docs/_static/llama-stack-spec.yaml | 45 ++++++++++++++++-------- llama_stack/apis/datasets/datasets.py | 42 +++++++++++++++++++---- 3 files changed, 95 insertions(+), 41 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 821e5ed53..856c6e715 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -6846,13 +6846,14 @@ "const": "dataset", "default": "dataset" }, - "schema": { + "purpose": { "type": "string", "enum": [ - "messages" + "post-training/messages", + "eval/question-answer" ], - "title": "Schema", - "description": "Schema of the dataset. Each type has a different column format." + "title": "DatasetPurpose", + "description": "Purpose of the dataset. Each type has a different column format." }, "data_source": { "$ref": "#/components/schemas/DataSource" @@ -6889,7 +6890,7 @@ "provider_resource_id", "provider_id", "type", - "schema", + "purpose", "data_source", "metadata" ], @@ -6903,8 +6904,9 @@ "const": "huggingface", "default": "huggingface" }, - "dataset_path": { - "type": "string" + "path": { + "type": "string", + "description": "The path to the dataset in Huggingface. E.g. - \"llamastack/simpleqa\"" }, "params": { "type": "object", @@ -6929,16 +6931,18 @@ "type": "object" } ] - } + }, + "description": "The parameters for the dataset." } }, "additionalProperties": false, "required": [ "type", - "dataset_path", + "path", "params" ], - "title": "HuggingfaceDataSource" + "title": "HuggingfaceDataSource", + "description": "A dataset stored in Huggingface." }, "RowsDataSource": { "type": "object", @@ -6974,7 +6978,8 @@ } ] } - } + }, + "description": "The dataset is stored in rows. E.g. - [ {\"messages\": [{\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}]} ]" } }, "additionalProperties": false, @@ -6982,7 +6987,8 @@ "type", "rows" ], - "title": "RowsDataSource" + "title": "RowsDataSource", + "description": "A dataset stored in rows." }, "URIDataSource": { "type": "object", @@ -6993,7 +6999,8 @@ "default": "uri" }, "uri": { - "type": "string" + "type": "string", + "description": "The dataset can be obtained from a URI. E.g. - \"https://mywebsite.com/mydata.jsonl\" - \"lsfs://mydata.jsonl\" - \"data:csv;base64,{base64_content}\"" } }, "additionalProperties": false, @@ -7001,7 +7008,8 @@ "type", "uri" ], - "title": "URIDataSource" + "title": "URIDataSource", + "description": "A dataset that can be obtained from a URI." }, "Model": { "type": "object", @@ -9419,14 +9427,15 @@ "RegisterDatasetRequest": { "type": "object", "properties": { - "schema": { + "purpose": { "type": "string", "enum": [ - "messages" + "post-training/messages", + "eval/question-answer" ], - "description": "The schema format of the dataset. One of - messages: The dataset contains a messages column with list of messages for post-training." + "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - \"eval/question-answer\": The dataset contains a question and answer column." }, - "data_source": { + "source": { "$ref": "#/components/schemas/DataSource", "description": "The data source of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"huggingface\", \"dataset_path\": \"tatsu-lab/alpaca\", \"params\": { \"split\": \"train\" } } - { \"type\": \"rows\", \"rows\": [ { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } ] }" }, @@ -9463,8 +9472,8 @@ }, "additionalProperties": false, "required": [ - "schema", - "data_source" + "purpose", + "source" ], "title": "RegisterDatasetRequest" }, diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 21625827a..93ba4ba30 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -4738,13 +4738,14 @@ components: type: string const: dataset default: dataset - schema: + purpose: type: string enum: - - messages - title: Schema + - post-training/messages + - eval/question-answer + title: DatasetPurpose description: >- - Schema of the dataset. Each type has a different column format. + Purpose of the dataset. Each type has a different column format. data_source: $ref: '#/components/schemas/DataSource' metadata: @@ -4763,7 +4764,7 @@ components: - provider_resource_id - provider_id - type - - schema + - purpose - data_source - metadata title: Dataset @@ -4774,8 +4775,10 @@ components: type: string const: huggingface default: huggingface - dataset_path: + path: type: string + description: >- + The path to the dataset in Huggingface. E.g. - "llamastack/simpleqa" params: type: object additionalProperties: @@ -4786,12 +4789,14 @@ components: - type: string - type: array - type: object + description: The parameters for the dataset. additionalProperties: false required: - type - - dataset_path + - path - params title: HuggingfaceDataSource + description: A dataset stored in Huggingface. RowsDataSource: type: object properties: @@ -4811,11 +4816,16 @@ components: - type: string - type: array - type: object + description: >- + The dataset is stored in rows. E.g. - [ {"messages": [{"role": "user", + "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, + world!"}]} ] additionalProperties: false required: - type - rows title: RowsDataSource + description: A dataset stored in rows. URIDataSource: type: object properties: @@ -4825,11 +4835,16 @@ components: default: uri uri: type: string + description: >- + The dataset can be obtained from a URI. E.g. - "https://mywebsite.com/mydata.jsonl" + - "lsfs://mydata.jsonl" - "data:csv;base64,{base64_content}" additionalProperties: false required: - type - uri title: URIDataSource + description: >- + A dataset that can be obtained from a URI. Model: type: object properties: @@ -6367,14 +6382,16 @@ components: RegisterDatasetRequest: type: object properties: - schema: + purpose: type: string enum: - - messages + - post-training/messages + - eval/question-answer description: >- - The schema format of the dataset. One of - messages: The dataset contains - a messages column with list of messages for post-training. - data_source: + The purpose of the dataset. One of - "post-training/messages": The dataset + contains a messages column with list of messages for post-training. - + "eval/question-answer": The dataset contains a question and answer column. + source: $ref: '#/components/schemas/DataSource' description: >- The data source of the dataset. Examples: - { "type": "uri", "uri": "https://mywebsite.com/mydata.jsonl" @@ -6401,8 +6418,8 @@ components: The ID of the dataset. If not provided, a random ID will be generated. additionalProperties: false required: - - schema - - data_source + - purpose + - source title: RegisterDatasetRequest RegisterModelRequest: type: object diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index b18dd204b..26ad85422 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -16,7 +16,7 @@ from llama_stack.schema_utils import json_schema_type, register_schema, webmetho class DatasetPurpose(Enum): """ Purpose of the dataset. Each type has a different column format. - :cvar tuning/messages: The dataset contains messages used for post-training. Examples: + :cvar post-training/messages: The dataset contains messages used for post-training. Examples: { "messages": [ {"role": "user", "content": "Hello, world!"}, @@ -25,12 +25,19 @@ class DatasetPurpose(Enum): } """ - tuning_messages = "tuning/messages" + post_training_messages = "post-training/messages" + eval_question_answer = "eval/question-answer" # TODO: add more schemas here class DatasetType(Enum): + """ + Type of the dataset source. + :cvar huggingface: The dataset is stored in Huggingface. + :cvar uri: The dataset can be obtained from a URI. + :cvar rows: The dataset is stored in rows. + """ huggingface = "huggingface" uri = "uri" rows = "rows" @@ -38,19 +45,36 @@ class DatasetType(Enum): @json_schema_type class URIDataSource(BaseModel): + """A dataset that can be obtained from a URI. + :param uri: The dataset can be obtained from a URI. E.g. + - "https://mywebsite.com/mydata.jsonl" + - "lsfs://mydata.jsonl" + - "data:csv;base64,{base64_content}" + """ type: Literal["uri"] = "uri" uri: str @json_schema_type class HuggingfaceDataSource(BaseModel): + """A dataset stored in Huggingface. + :param path: The path to the dataset in Huggingface. E.g. + - "llamastack/simpleqa" + :param params: The parameters for the dataset. + """ type: Literal["huggingface"] = "huggingface" - dataset_path: str + path: str params: Dict[str, Any] @json_schema_type class RowsDataSource(BaseModel): + """A dataset stored in rows. + :param rows: The dataset is stored in rows. E.g. + - [ + {"messages": [{"role": "user", "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}]} + ] + """ type: Literal["rows"] = "rows" rows: List[Dict[str, Any]] @@ -65,7 +89,10 @@ DataSource = register_schema( class CommonDatasetFields(BaseModel): - schema: Schema + """ + Common fields for a dataset. + """ + purpose: DatasetPurpose data_source: DataSource metadata: Dict[str, Any] = Field( default_factory=dict, @@ -108,9 +135,10 @@ class Datasets(Protocol): """ Register a new dataset. - :param schema: The schema format of the dataset. One of - - messages: The dataset contains a messages column with list of messages for post-training. - :param data_source: The data source of the dataset. Examples: + :param purpose: The purpose of the dataset. One of + - "post-training/messages": The dataset contains a messages column with list of messages for post-training. + - "eval/question-answer": The dataset contains a question and answer column. + :param source: The data source of the dataset. Examples: - { "type": "uri", "uri": "https://mywebsite.com/mydata.jsonl" From 790b2d5cc0e7f90ac38f86c9521fba157dbae6a9 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 18:51:46 -0700 Subject: [PATCH 11/73] source --- llama_stack/apis/datasets/datasets.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 26ad85422..36f75d7b3 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -93,7 +93,7 @@ class CommonDatasetFields(BaseModel): Common fields for a dataset. """ purpose: DatasetPurpose - data_source: DataSource + source: DataSource metadata: Dict[str, Any] = Field( default_factory=dict, description="Any additional metadata for this dataset", From 09039eca5740af1f8d1e9ff04cd50a7ceb7f94af Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 18:52:05 -0700 Subject: [PATCH 12/73] source --- docs/_static/llama-stack-spec.html | 4 ++-- docs/_static/llama-stack-spec.yaml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 856c6e715..47f48df3c 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -6855,7 +6855,7 @@ "title": "DatasetPurpose", "description": "Purpose of the dataset. Each type has a different column format." }, - "data_source": { + "source": { "$ref": "#/components/schemas/DataSource" }, "metadata": { @@ -6891,7 +6891,7 @@ "provider_id", "type", "purpose", - "data_source", + "source", "metadata" ], "title": "Dataset" diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 93ba4ba30..16ef6fed4 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -4746,7 +4746,7 @@ components: title: DatasetPurpose description: >- Purpose of the dataset. Each type has a different column format. - data_source: + source: $ref: '#/components/schemas/DataSource' metadata: type: object @@ -4765,7 +4765,7 @@ components: - provider_id - type - purpose - - data_source + - source - metadata title: Dataset HuggingfaceDataSource: From 4cc1958af97a959a8d358d1008209c138067f362 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 21:37:13 -0700 Subject: [PATCH 13/73] huggingface obey consistency --- docs/_static/llama-stack-spec.html | 69 ++++++++++++++++----------- docs/_static/llama-stack-spec.yaml | 40 +++++++++------- llama_stack/apis/datasets/datasets.py | 16 +++++-- 3 files changed, 76 insertions(+), 49 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 47f48df3c..44459f2b9 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -6902,44 +6902,55 @@ "type": { "type": "string", "const": "huggingface", - "default": "huggingface" + "default": "huggingface", + "description": "The type of the data source." }, - "path": { - "type": "string", - "description": "The path to the dataset in Huggingface. E.g. - \"llamastack/simpleqa\"" - }, - "params": { + "huggingface": { "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "null" + "properties": { + "path": { + "type": "string", + "description": "The path to the dataset in Huggingface. E.g. - \"llamastack/simpleqa\"" + }, + "params": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ] + "description": "The parameters for the dataset." + } }, - "description": "The parameters for the dataset." + "additionalProperties": false, + "required": [ + "path", + "params" + ], + "description": "The fields for a Huggingface dataset." } }, "additionalProperties": false, "required": [ "type", - "path", - "params" + "huggingface" ], "title": "HuggingfaceDataSource", "description": "A dataset stored in Huggingface." diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 16ef6fed4..a257b2a7d 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -4775,26 +4775,34 @@ components: type: string const: huggingface default: huggingface - path: - type: string - description: >- - The path to the dataset in Huggingface. E.g. - "llamastack/simpleqa" - params: + description: The type of the data source. + huggingface: type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The parameters for the dataset. + properties: + path: + type: string + description: >- + The path to the dataset in Huggingface. E.g. - "llamastack/simpleqa" + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The parameters for the dataset. + additionalProperties: false + required: + - path + - params + description: The fields for a Huggingface dataset. additionalProperties: false required: - type - - path - - params + - huggingface title: HuggingfaceDataSource description: A dataset stored in Huggingface. RowsDataSource: diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 36f75d7b3..20587a29e 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -55,18 +55,26 @@ class URIDataSource(BaseModel): uri: str -@json_schema_type -class HuggingfaceDataSource(BaseModel): - """A dataset stored in Huggingface. +class HuggingfaceDataSourceFields(BaseModel): + """The fields for a Huggingface dataset. :param path: The path to the dataset in Huggingface. E.g. - "llamastack/simpleqa" :param params: The parameters for the dataset. """ - type: Literal["huggingface"] = "huggingface" path: str params: Dict[str, Any] +@json_schema_type +class HuggingfaceDataSource(BaseModel): + """A dataset stored in Huggingface. + :param type: The type of the data source. + :param huggingface: The fields for a Huggingface dataset. + """ + type: Literal["huggingface"] = "huggingface" + huggingface: HuggingfaceDataSourceFields + + @json_schema_type class RowsDataSource(BaseModel): """A dataset stored in rows. From 4f6f0f6a9101619e86d90e708f00ef86c8588283 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 23:27:01 -0700 Subject: [PATCH 14/73] update doc --- docs/_static/llama-stack-spec.html | 2 +- docs/_static/llama-stack-spec.yaml | 8 ++++---- llama_stack/apis/datasets/datasets.py | 15 ++++++++++++--- 3 files changed, 17 insertions(+), 8 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 44459f2b9..f7166bb65 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -9448,7 +9448,7 @@ }, "source": { "$ref": "#/components/schemas/DataSource", - "description": "The data source of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"huggingface\", \"dataset_path\": \"tatsu-lab/alpaca\", \"params\": { \"split\": \"train\" } } - { \"type\": \"rows\", \"rows\": [ { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } ] }" + "description": "The data source of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"huggingface\", \"huggingface\": { \"dataset_path\": \"tatsu-lab/alpaca\", \"params\": { \"split\": \"train\" } } } - { \"type\": \"rows\", \"rows\": [ { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } ] }" }, "metadata": { "type": "object", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index a257b2a7d..10db07f02 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -6404,10 +6404,10 @@ components: description: >- The data source of the dataset. Examples: - { "type": "uri", "uri": "https://mywebsite.com/mydata.jsonl" } - { "type": "uri", "uri": "lsfs://mydata.jsonl" } - { "type": "huggingface", - "dataset_path": "tatsu-lab/alpaca", "params": { "split": "train" } } - - { "type": "rows", "rows": [ { "messages": [ {"role": "user", "content": - "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}, ] - } ] } + "huggingface": { "dataset_path": "tatsu-lab/alpaca", "params": { "split": + "train" } } } - { "type": "rows", "rows": [ { "messages": [ {"role": "user", + "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, + world!"}, ] } ] } metadata: type: object additionalProperties: diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 20587a29e..71118667f 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -23,6 +23,13 @@ class DatasetPurpose(Enum): {"role": "assistant", "content": "Hello, world!"}, ] } + :cvar eval/question-answer: The dataset contains a question and answer column. + { + "question": [ + {"role": "user", "content": "What is the capital of France?"}, + ], + "answer": "Paris" + } """ post_training_messages = "post-training/messages" @@ -157,9 +164,11 @@ class Datasets(Protocol): } - { "type": "huggingface", - "dataset_path": "tatsu-lab/alpaca", - "params": { - "split": "train" + "huggingface": { + "dataset_path": "tatsu-lab/alpaca", + "params": { + "split": "train" + } } } - { From 772339bebfe32b18ff6549a36fd2b925fef9d572 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 23:27:45 -0700 Subject: [PATCH 15/73] update doc --- llama_stack/apis/datasets/datasets.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 71118667f..cfbd6b4ac 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -15,7 +15,8 @@ from llama_stack.schema_utils import json_schema_type, register_schema, webmetho class DatasetPurpose(Enum): """ - Purpose of the dataset. Each type has a different column format. + Purpose of the dataset. Each purpose has a required input data schema. + :cvar post-training/messages: The dataset contains messages used for post-training. Examples: { "messages": [ From b4d118fc5c58c335073e0ed633d84744878c3d58 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 23:30:47 -0700 Subject: [PATCH 16/73] update doc --- docs/_static/llama-stack-spec.html | 8 ++++---- docs/_static/llama-stack-spec.yaml | 12 ++++++++---- llama_stack/apis/datasets/datasets.py | 26 ++++++++++++++++++++------ 3 files changed, 32 insertions(+), 14 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index f7166bb65..fc213b719 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -6850,10 +6850,10 @@ "type": "string", "enum": [ "post-training/messages", - "eval/question-answer" + "eval/messages-answer" ], "title": "DatasetPurpose", - "description": "Purpose of the dataset. Each type has a different column format." + "description": "Purpose of the dataset. Each purpose has a required input data schema." }, "source": { "$ref": "#/components/schemas/DataSource" @@ -9442,9 +9442,9 @@ "type": "string", "enum": [ "post-training/messages", - "eval/question-answer" + "eval/messages-answer" ], - "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - \"eval/question-answer\": The dataset contains a question and answer column." + "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - Example data rows: { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } - \"eval/messages-answer\": The dataset contains a messages column with list of messages and an answer column. - Example data rows: { \"messages\": [ {\"role\": \"user\", \"content\": \"What is the capital of France?\"}, ], \"answer\": \"Paris\" }" }, "source": { "$ref": "#/components/schemas/DataSource", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 10db07f02..e3355fc78 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -4742,10 +4742,10 @@ components: type: string enum: - post-training/messages - - eval/question-answer + - eval/messages-answer title: DatasetPurpose description: >- - Purpose of the dataset. Each type has a different column format. + Purpose of the dataset. Each purpose has a required input data schema. source: $ref: '#/components/schemas/DataSource' metadata: @@ -6394,11 +6394,15 @@ components: type: string enum: - post-training/messages - - eval/question-answer + - eval/messages-answer description: >- The purpose of the dataset. One of - "post-training/messages": The dataset contains a messages column with list of messages for post-training. - - "eval/question-answer": The dataset contains a question and answer column. + Example data rows: { "messages": [ {"role": "user", "content": "Hello, + world!"}, {"role": "assistant", "content": "Hello, world!"}, ] } - "eval/messages-answer": + The dataset contains a messages column with list of messages and an answer + column. - Example data rows: { "messages": [ {"role": "user", "content": + "What is the capital of France?"}, ], "answer": "Paris" } source: $ref: '#/components/schemas/DataSource' description: >- diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index cfbd6b4ac..a731da6ba 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -16,17 +16,17 @@ from llama_stack.schema_utils import json_schema_type, register_schema, webmetho class DatasetPurpose(Enum): """ Purpose of the dataset. Each purpose has a required input data schema. - - :cvar post-training/messages: The dataset contains messages used for post-training. Examples: + + :cvar post-training/messages: The dataset contains messages used for post-training. { "messages": [ {"role": "user", "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}, ] } - :cvar eval/question-answer: The dataset contains a question and answer column. + :cvar eval/messages-answer: The dataset contains a messages column with list of messages and an answer column. { - "question": [ + "messages": [ {"role": "user", "content": "What is the capital of France?"}, ], "answer": "Paris" @@ -34,7 +34,7 @@ class DatasetPurpose(Enum): """ post_training_messages = "post-training/messages" - eval_question_answer = "eval/question-answer" + eval_messages_answer = "eval/messages-answer" # TODO: add more schemas here @@ -153,7 +153,21 @@ class Datasets(Protocol): :param purpose: The purpose of the dataset. One of - "post-training/messages": The dataset contains a messages column with list of messages for post-training. - - "eval/question-answer": The dataset contains a question and answer column. + - Example data rows: + { + "messages": [ + {"role": "user", "content": "Hello, world!"}, + {"role": "assistant", "content": "Hello, world!"}, + ] + } + - "eval/messages-answer": The dataset contains a messages column with list of messages and an answer column. + - Example data rows: + { + "messages": [ + {"role": "user", "content": "What is the capital of France?"}, + ], + "answer": "Paris" + } :param source: The data source of the dataset. Examples: - { "type": "uri", From 0df33049e3cef90f0e49410890926dd4d4a1107b Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 23:32:54 -0700 Subject: [PATCH 17/73] update doc --- docs/_static/llama-stack-spec.html | 2 +- docs/_static/llama-stack-spec.yaml | 7 ++----- llama_stack/apis/datasets/datasets.py | 14 -------------- 3 files changed, 3 insertions(+), 20 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index fc213b719..247a15af4 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -9444,7 +9444,7 @@ "post-training/messages", "eval/messages-answer" ], - "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - Example data rows: { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } - \"eval/messages-answer\": The dataset contains a messages column with list of messages and an answer column. - Example data rows: { \"messages\": [ {\"role\": \"user\", \"content\": \"What is the capital of France?\"}, ], \"answer\": \"Paris\" }" + "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - \"eval/messages-answer\": The dataset contains a messages column with list of messages and an answer column." }, "source": { "$ref": "#/components/schemas/DataSource", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index e3355fc78..97e0787ee 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -6398,11 +6398,8 @@ components: description: >- The purpose of the dataset. One of - "post-training/messages": The dataset contains a messages column with list of messages for post-training. - - Example data rows: { "messages": [ {"role": "user", "content": "Hello, - world!"}, {"role": "assistant", "content": "Hello, world!"}, ] } - "eval/messages-answer": - The dataset contains a messages column with list of messages and an answer - column. - Example data rows: { "messages": [ {"role": "user", "content": - "What is the capital of France?"}, ], "answer": "Paris" } + "eval/messages-answer": The dataset contains a messages column with list + of messages and an answer column. source: $ref: '#/components/schemas/DataSource' description: >- diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index a731da6ba..9ec05a213 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -153,21 +153,7 @@ class Datasets(Protocol): :param purpose: The purpose of the dataset. One of - "post-training/messages": The dataset contains a messages column with list of messages for post-training. - - Example data rows: - { - "messages": [ - {"role": "user", "content": "Hello, world!"}, - {"role": "assistant", "content": "Hello, world!"}, - ] - } - "eval/messages-answer": The dataset contains a messages column with list of messages and an answer column. - - Example data rows: - { - "messages": [ - {"role": "user", "content": "What is the capital of France?"}, - ], - "answer": "Paris" - } :param source: The data source of the dataset. Examples: - { "type": "uri", From 8a6fa41a936ccb655427ab3df9db056b299c65ee Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 23:44:18 -0700 Subject: [PATCH 18/73] more purposes --- docs/_static/llama-stack-spec.html | 4 +++- docs/_static/llama-stack-spec.yaml | 7 +++++-- llama_stack/apis/datasets/datasets.py | 16 ++++++++++++---- 3 files changed, 20 insertions(+), 7 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 247a15af4..d6ee9334e 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -6850,6 +6850,7 @@ "type": "string", "enum": [ "post-training/messages", + "eval/question-answer", "eval/messages-answer" ], "title": "DatasetPurpose", @@ -9442,9 +9443,10 @@ "type": "string", "enum": [ "post-training/messages", + "eval/question-answer", "eval/messages-answer" ], - "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - \"eval/messages-answer\": The dataset contains a messages column with list of messages and an answer column." + "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - \"eval/question-answer\": The dataset contains a question column and an answer column for evaluation. - \"eval/messages-answer\": The dataset contains a messages column with list of messages and an answer column for evaluation." }, "source": { "$ref": "#/components/schemas/DataSource", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 97e0787ee..4a204f44d 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -4742,6 +4742,7 @@ components: type: string enum: - post-training/messages + - eval/question-answer - eval/messages-answer title: DatasetPurpose description: >- @@ -6394,12 +6395,14 @@ components: type: string enum: - post-training/messages + - eval/question-answer - eval/messages-answer description: >- The purpose of the dataset. One of - "post-training/messages": The dataset contains a messages column with list of messages for post-training. - - "eval/messages-answer": The dataset contains a messages column with list - of messages and an answer column. + "eval/question-answer": The dataset contains a question column and an + answer column for evaluation. - "eval/messages-answer": The dataset contains + a messages column with list of messages and an answer column for evaluation. source: $ref: '#/components/schemas/DataSource' description: >- diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 9ec05a213..711e3289c 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -24,16 +24,23 @@ class DatasetPurpose(Enum): {"role": "assistant", "content": "Hello, world!"}, ] } + :cvar eval/question-answer: The dataset contains a question column and an answer column. + { + "question": "What is the capital of France?", + "answer": "Paris" + } :cvar eval/messages-answer: The dataset contains a messages column with list of messages and an answer column. { "messages": [ - {"role": "user", "content": "What is the capital of France?"}, + {"role": "user", "content": "Hello, my name is John Doe."}, + {"role": "assistant", "content": "Hello, John Doe. How can I help you today?"}, + {"role": "user", "content": "What's my name?"}, ], - "answer": "Paris" + "answer": "John Doe" } """ - post_training_messages = "post-training/messages" + eval_question_answer = "eval/question-answer" eval_messages_answer = "eval/messages-answer" # TODO: add more schemas here @@ -153,7 +160,8 @@ class Datasets(Protocol): :param purpose: The purpose of the dataset. One of - "post-training/messages": The dataset contains a messages column with list of messages for post-training. - - "eval/messages-answer": The dataset contains a messages column with list of messages and an answer column. + - "eval/question-answer": The dataset contains a question column and an answer column for evaluation. + - "eval/messages-answer": The dataset contains a messages column with list of messages and an answer column for evaluation. :param source: The data source of the dataset. Examples: - { "type": "uri", From 8b80a77faed2b24549241061bef83bf23b26967c Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Wed, 12 Mar 2025 23:50:52 -0700 Subject: [PATCH 19/73] docs --- docs/_static/llama-stack-spec.html | 2 +- docs/_static/llama-stack-spec.yaml | 14 ++++++++++---- llama_stack/apis/datasets/datasets.py | 18 ++++++++++++++++++ 3 files changed, 29 insertions(+), 5 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index d6ee9334e..4c7bebd8f 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -9446,7 +9446,7 @@ "eval/question-answer", "eval/messages-answer" ], - "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. - \"eval/question-answer\": The dataset contains a question column and an answer column for evaluation. - \"eval/messages-answer\": The dataset contains a messages column with list of messages and an answer column for evaluation." + "description": "The purpose of the dataset. One of - \"post-training/messages\": The dataset contains a messages column with list of messages for post-training. { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } - \"eval/question-answer\": The dataset contains a question column and an answer column for evaluation. { \"question\": \"What is the capital of France?\", \"answer\": \"Paris\" } - \"eval/messages-answer\": The dataset contains a messages column with list of messages and an answer column for evaluation. { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, my name is John Doe.\"}, {\"role\": \"assistant\", \"content\": \"Hello, John Doe. How can I help you today?\"}, {\"role\": \"user\", \"content\": \"What's my name?\"}, ], \"answer\": \"John Doe\" }" }, "source": { "$ref": "#/components/schemas/DataSource", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 4a204f44d..4d2398a28 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -6399,10 +6399,16 @@ components: - eval/messages-answer description: >- The purpose of the dataset. One of - "post-training/messages": The dataset - contains a messages column with list of messages for post-training. - - "eval/question-answer": The dataset contains a question column and an - answer column for evaluation. - "eval/messages-answer": The dataset contains - a messages column with list of messages and an answer column for evaluation. + contains a messages column with list of messages for post-training. { + "messages": [ {"role": "user", "content": "Hello, world!"}, {"role": "assistant", + "content": "Hello, world!"}, ] } - "eval/question-answer": The dataset + contains a question column and an answer column for evaluation. { "question": + "What is the capital of France?", "answer": "Paris" } - "eval/messages-answer": + The dataset contains a messages column with list of messages and an answer + column for evaluation. { "messages": [ {"role": "user", "content": "Hello, + my name is John Doe."}, {"role": "assistant", "content": "Hello, John + Doe. How can I help you today?"}, {"role": "user", "content": "What's + my name?"}, ], "answer": "John Doe" } source: $ref: '#/components/schemas/DataSource' description: >- diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 711e3289c..e1285ef9a 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -160,8 +160,26 @@ class Datasets(Protocol): :param purpose: The purpose of the dataset. One of - "post-training/messages": The dataset contains a messages column with list of messages for post-training. + { + "messages": [ + {"role": "user", "content": "Hello, world!"}, + {"role": "assistant", "content": "Hello, world!"}, + ] + } - "eval/question-answer": The dataset contains a question column and an answer column for evaluation. + { + "question": "What is the capital of France?", + "answer": "Paris" + } - "eval/messages-answer": The dataset contains a messages column with list of messages and an answer column for evaluation. + { + "messages": [ + {"role": "user", "content": "Hello, my name is John Doe."}, + {"role": "assistant", "content": "Hello, John Doe. How can I help you today?"}, + {"role": "user", "content": "What's my name?"}, + ], + "answer": "John Doe" + } :param source: The data source of the dataset. Examples: - { "type": "uri", From 89885fd2fa6c9a1d184d128a94f5a5d5dea2412b Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Thu, 13 Mar 2025 14:47:06 -0700 Subject: [PATCH 20/73] datasetio->datasets --- llama_stack/apis/datasetio/datasetio.py | 10 +++--- llama_stack/apis/datasets/datasets.py | 46 ++++++++----------------- 2 files changed, 20 insertions(+), 36 deletions(-) diff --git a/llama_stack/apis/datasetio/datasetio.py b/llama_stack/apis/datasetio/datasetio.py index 6a04a6329..2c6c8e981 100644 --- a/llama_stack/apis/datasetio/datasetio.py +++ b/llama_stack/apis/datasetio/datasetio.py @@ -37,8 +37,8 @@ class DatasetIO(Protocol): # keeping for aligning with inference/safety, but this is not used dataset_store: DatasetStore - @webmethod(route="/datasetio/rows", method="GET") - async def get_rows_paginated( + @webmethod(route="/datasets/{dataset_id}/iterrows", method="GET") + async def iterrows( self, dataset_id: str, rows_in_page: int, @@ -54,5 +54,7 @@ class DatasetIO(Protocol): """ ... - @webmethod(route="/datasetio/rows", method="POST") - async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: ... + @webmethod(route="/datasets/{dataset_id}/rows", method="POST") + async def append_rows( + self, dataset_id: str, rows: List[Dict[str, Any]] + ) -> None: ... diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index e1285ef9a..c25b861c3 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -39,6 +39,7 @@ class DatasetPurpose(Enum): "answer": "John Doe" } """ + post_training_messages = "post-training/messages" eval_question_answer = "eval/question-answer" eval_messages_answer = "eval/messages-answer" @@ -49,11 +50,10 @@ class DatasetPurpose(Enum): class DatasetType(Enum): """ Type of the dataset source. - :cvar huggingface: The dataset is stored in Huggingface. - :cvar uri: The dataset can be obtained from a URI. - :cvar rows: The dataset is stored in rows. + :cvar uri: The dataset can be obtained from a URI. + :cvar rows: The dataset is stored in rows. """ - huggingface = "huggingface" + uri = "uri" rows = "rows" @@ -66,30 +66,11 @@ class URIDataSource(BaseModel): - "lsfs://mydata.jsonl" - "data:csv;base64,{base64_content}" """ + type: Literal["uri"] = "uri" uri: str -class HuggingfaceDataSourceFields(BaseModel): - """The fields for a Huggingface dataset. - :param path: The path to the dataset in Huggingface. E.g. - - "llamastack/simpleqa" - :param params: The parameters for the dataset. - """ - path: str - params: Dict[str, Any] - - -@json_schema_type -class HuggingfaceDataSource(BaseModel): - """A dataset stored in Huggingface. - :param type: The type of the data source. - :param huggingface: The fields for a Huggingface dataset. - """ - type: Literal["huggingface"] = "huggingface" - huggingface: HuggingfaceDataSourceFields - - @json_schema_type class RowsDataSource(BaseModel): """A dataset stored in rows. @@ -98,13 +79,14 @@ class RowsDataSource(BaseModel): {"messages": [{"role": "user", "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}]} ] """ + type: Literal["rows"] = "rows" rows: List[Dict[str, Any]] DataSource = register_schema( Annotated[ - Union[URIDataSource, HuggingfaceDataSource, RowsDataSource], + Union[URIDataSource, RowsDataSource], Field(discriminator="type"), ], name="DataSource", @@ -115,6 +97,7 @@ class CommonDatasetFields(BaseModel): """ Common fields for a dataset. """ + purpose: DatasetPurpose source: DataSource metadata: Dict[str, Any] = Field( @@ -190,13 +173,12 @@ class Datasets(Protocol): "uri": "lsfs://mydata.jsonl" } - { - "type": "huggingface", - "huggingface": { - "dataset_path": "tatsu-lab/alpaca", - "params": { - "split": "train" - } - } + "type": "uri", + "uri": "data:csv;base64,{base64_content}" + } + - { + "type": "uri", + "uri": "huggingface://llamastack/simpleqa?split=train" } - { "type": "rows", From a6095820af803a2e5244ca37875c9f6aa559073f Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Thu, 13 Mar 2025 14:48:11 -0700 Subject: [PATCH 21/73] docs --- docs/_static/llama-stack-spec.html | 320 +++++++++++--------------- docs/_static/llama-stack-spec.yaml | 218 ++++++++---------- llama_stack/apis/datasets/datasets.py | 2 +- 3 files changed, 224 insertions(+), 316 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 0e5996e21..ae6a01e15 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -40,75 +40,7 @@ } ], "paths": { - "/v1/datasetio/rows": { - "get": { - "responses": { - "200": { - "description": "OK", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/PaginatedRowsResult" - } - } - } - }, - "400": { - "$ref": "#/components/responses/BadRequest400" - }, - "429": { - "$ref": "#/components/responses/TooManyRequests429" - }, - "500": { - "$ref": "#/components/responses/InternalServerError500" - }, - "default": { - "$ref": "#/components/responses/DefaultError" - } - }, - "tags": [ - "DatasetIO" - ], - "description": "Get a paginated list of rows from a dataset.", - "parameters": [ - { - "name": "dataset_id", - "in": "query", - "description": "The ID of the dataset to get the rows from.", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "rows_in_page", - "in": "query", - "description": "The number of rows to get per page.", - "required": true, - "schema": { - "type": "integer" - } - }, - { - "name": "page_token", - "in": "query", - "description": "The token to get the next page of rows.", - "required": false, - "schema": { - "type": "string" - } - }, - { - "name": "filter_condition", - "in": "query", - "description": "(Optional) A condition to filter the rows by.", - "required": false, - "schema": { - "type": "string" - } - } - ] - }, + "/v1/datasets/{dataset_id}/rows": { "post": { "responses": { "200": { @@ -131,7 +63,16 @@ "DatasetIO" ], "description": "", - "parameters": [], + "parameters": [ + { + "name": "dataset_id", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + } + ], "requestBody": { "content": { "application/json": { @@ -2194,6 +2135,76 @@ } } }, + "/v1/datasets/{dataset_id}/iterrows": { + "get": { + "responses": { + "200": { + "description": "OK", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/PaginatedRowsResult" + } + } + } + }, + "400": { + "$ref": "#/components/responses/BadRequest400" + }, + "429": { + "$ref": "#/components/responses/TooManyRequests429" + }, + "500": { + "$ref": "#/components/responses/InternalServerError500" + }, + "default": { + "$ref": "#/components/responses/DefaultError" + } + }, + "tags": [ + "DatasetIO" + ], + "description": "Get a paginated list of rows from a dataset.", + "parameters": [ + { + "name": "dataset_id", + "in": "path", + "description": "The ID of the dataset to get the rows from.", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "rows_in_page", + "in": "query", + "description": "The number of rows to get per page.", + "required": true, + "schema": { + "type": "integer" + } + }, + { + "name": "page_token", + "in": "query", + "description": "The token to get the next page of rows.", + "required": false, + "schema": { + "type": "string" + } + }, + { + "name": "filter_condition", + "in": "query", + "description": "(Optional) A condition to filter the rows by.", + "required": false, + "schema": { + "type": "string" + } + } + ] + } + }, "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}": { "get": { "responses": { @@ -3789,9 +3800,6 @@ "AppendRowsRequest": { "type": "object", "properties": { - "dataset_id": { - "type": "string" - }, "rows": { "type": "array", "items": { @@ -3823,7 +3831,6 @@ }, "additionalProperties": false, "required": [ - "dataset_id", "rows" ], "title": "AppendRowsRequest" @@ -6794,9 +6801,6 @@ { "$ref": "#/components/schemas/URIDataSource" }, - { - "$ref": "#/components/schemas/HuggingfaceDataSource" - }, { "$ref": "#/components/schemas/RowsDataSource" } @@ -6805,7 +6809,6 @@ "propertyName": "type", "mapping": { "uri": "#/components/schemas/URIDataSource", - "huggingface": "#/components/schemas/HuggingfaceDataSource", "rows": "#/components/schemas/RowsDataSource" } } @@ -6878,65 +6881,6 @@ ], "title": "Dataset" }, - "HuggingfaceDataSource": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "huggingface", - "default": "huggingface", - "description": "The type of the data source." - }, - "huggingface": { - "type": "object", - "properties": { - "path": { - "type": "string", - "description": "The path to the dataset in Huggingface. E.g. - \"llamastack/simpleqa\"" - }, - "params": { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ] - }, - "description": "The parameters for the dataset." - } - }, - "additionalProperties": false, - "required": [ - "path", - "params" - ], - "description": "The fields for a Huggingface dataset." - } - }, - "additionalProperties": false, - "required": [ - "type", - "huggingface" - ], - "title": "HuggingfaceDataSource", - "description": "A dataset stored in Huggingface." - }, "RowsDataSource": { "type": "object", "properties": { @@ -7070,55 +7014,6 @@ ], "title": "ModelType" }, - "PaginatedRowsResult": { - "type": "object", - "properties": { - "rows": { - "type": "array", - "items": { - "type": "object", - "additionalProperties": { - "oneOf": [ - { - "type": "null" - }, - { - "type": "boolean" - }, - { - "type": "number" - }, - { - "type": "string" - }, - { - "type": "array" - }, - { - "type": "object" - } - ] - } - }, - "description": "The rows in the current page." - }, - "total_count": { - "type": "integer", - "description": "The total number of rows in the dataset." - }, - "next_page_token": { - "type": "string", - "description": "The token to get the next page of rows." - } - }, - "additionalProperties": false, - "required": [ - "rows", - "total_count" - ], - "title": "PaginatedRowsResult", - "description": "A paginated list of rows from a dataset." - }, "AgentTurnInputType": { "type": "object", "properties": { @@ -8153,6 +8048,55 @@ ], "title": "ToolInvocationResult" }, + "PaginatedRowsResult": { + "type": "object", + "properties": { + "rows": { + "type": "array", + "items": { + "type": "object", + "additionalProperties": { + "oneOf": [ + { + "type": "null" + }, + { + "type": "boolean" + }, + { + "type": "number" + }, + { + "type": "string" + }, + { + "type": "array" + }, + { + "type": "object" + } + ] + } + }, + "description": "The rows in the current page." + }, + "total_count": { + "type": "integer", + "description": "The total number of rows in the dataset." + }, + "next_page_token": { + "type": "string", + "description": "The token to get the next page of rows." + } + }, + "additionalProperties": false, + "required": [ + "rows", + "total_count" + ], + "title": "PaginatedRowsResult", + "description": "A paginated list of rows from a dataset." + }, "ListAgentSessionsResponse": { "type": "object", "properties": { @@ -9431,7 +9375,7 @@ }, "source": { "$ref": "#/components/schemas/DataSource", - "description": "The data source of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"huggingface\", \"huggingface\": { \"dataset_path\": \"tatsu-lab/alpaca\", \"params\": { \"split\": \"train\" } } } - { \"type\": \"rows\", \"rows\": [ { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } ] }" + "description": "The data source of the dataset. Examples: - { \"type\": \"uri\", \"uri\": \"https://mywebsite.com/mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"lsfs://mydata.jsonl\" } - { \"type\": \"uri\", \"uri\": \"data:csv;base64,{base64_content}\" } - { \"type\": \"uri\", \"uri\": \"huggingface://llamastack/simpleqa?split=train\" } - { \"type\": \"rows\", \"rows\": [ { \"messages\": [ {\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}, ] } ] }" }, "metadata": { "type": "object", @@ -9461,7 +9405,7 @@ }, "dataset_id": { "type": "string", - "description": "The ID of the dataset. If not provided, a random ID will be generated." + "description": "The ID of the dataset. If not provided, an ID will be generated." } }, "additionalProperties": false, diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 1e6fc77cc..45d15407c 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -10,56 +10,7 @@ info: servers: - url: http://any-hosted-llama-stack.com paths: - /v1/datasetio/rows: - get: - responses: - '200': - description: OK - content: - application/json: - schema: - $ref: '#/components/schemas/PaginatedRowsResult' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - DatasetIO - description: >- - Get a paginated list of rows from a dataset. - parameters: - - name: dataset_id - in: query - description: >- - The ID of the dataset to get the rows from. - required: true - schema: - type: string - - name: rows_in_page - in: query - description: The number of rows to get per page. - required: true - schema: - type: integer - - name: page_token - in: query - description: The token to get the next page of rows. - required: false - schema: - type: string - - name: filter_condition - in: query - description: >- - (Optional) A condition to filter the rows by. - required: false - schema: - type: string + /v1/datasets/{dataset_id}/rows: post: responses: '200': @@ -77,7 +28,12 @@ paths: tags: - DatasetIO description: '' - parameters: [] + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string requestBody: content: application/json: @@ -1473,6 +1429,56 @@ paths: schema: $ref: '#/components/schemas/InvokeToolRequest' required: true + /v1/datasets/{dataset_id}/iterrows: + get: + responses: + '200': + description: OK + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedRowsResult' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - DatasetIO + description: >- + Get a paginated list of rows from a dataset. + parameters: + - name: dataset_id + in: path + description: >- + The ID of the dataset to get the rows from. + required: true + schema: + type: string + - name: rows_in_page + in: query + description: The number of rows to get per page. + required: true + schema: + type: integer + - name: page_token + in: query + description: The token to get the next page of rows. + required: false + schema: + type: string + - name: filter_condition + in: query + description: >- + (Optional) A condition to filter the rows by. + required: false + schema: + type: string /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}: get: responses: @@ -2583,8 +2589,6 @@ components: AppendRowsRequest: type: object properties: - dataset_id: - type: string rows: type: array items: @@ -2599,7 +2603,6 @@ components: - type: object additionalProperties: false required: - - dataset_id - rows title: AppendRowsRequest CompletionMessage: @@ -4705,13 +4708,11 @@ components: DataSource: oneOf: - $ref: '#/components/schemas/URIDataSource' - - $ref: '#/components/schemas/HuggingfaceDataSource' - $ref: '#/components/schemas/RowsDataSource' discriminator: propertyName: type mapping: uri: '#/components/schemas/URIDataSource' - huggingface: '#/components/schemas/HuggingfaceDataSource' rows: '#/components/schemas/RowsDataSource' Dataset: type: object @@ -4757,43 +4758,6 @@ components: - source - metadata title: Dataset - HuggingfaceDataSource: - type: object - properties: - type: - type: string - const: huggingface - default: huggingface - description: The type of the data source. - huggingface: - type: object - properties: - path: - type: string - description: >- - The path to the dataset in Huggingface. E.g. - "llamastack/simpleqa" - params: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The parameters for the dataset. - additionalProperties: false - required: - - path - - params - description: The fields for a Huggingface dataset. - additionalProperties: false - required: - - type - - huggingface - title: HuggingfaceDataSource - description: A dataset stored in Huggingface. RowsDataSource: type: object properties: @@ -4883,34 +4847,6 @@ components: - llm - embedding title: ModelType - PaginatedRowsResult: - type: object - properties: - rows: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The rows in the current page. - total_count: - type: integer - description: The total number of rows in the dataset. - next_page_token: - type: string - description: The token to get the next page of rows. - additionalProperties: false - required: - - rows - - total_count - title: PaginatedRowsResult - description: A paginated list of rows from a dataset. AgentTurnInputType: type: object properties: @@ -5557,6 +5493,34 @@ components: required: - content title: ToolInvocationResult + PaginatedRowsResult: + type: object + properties: + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows in the current page. + total_count: + type: integer + description: The total number of rows in the dataset. + next_page_token: + type: string + description: The token to get the next page of rows. + additionalProperties: false + required: + - rows + - total_count + title: PaginatedRowsResult + description: A paginated list of rows from a dataset. ListAgentSessionsResponse: type: object properties: @@ -6401,11 +6365,11 @@ components: $ref: '#/components/schemas/DataSource' description: >- The data source of the dataset. Examples: - { "type": "uri", "uri": "https://mywebsite.com/mydata.jsonl" - } - { "type": "uri", "uri": "lsfs://mydata.jsonl" } - { "type": "huggingface", - "huggingface": { "dataset_path": "tatsu-lab/alpaca", "params": { "split": - "train" } } } - { "type": "rows", "rows": [ { "messages": [ {"role": "user", - "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, - world!"}, ] } ] } + } - { "type": "uri", "uri": "lsfs://mydata.jsonl" } - { "type": "uri", + "uri": "data:csv;base64,{base64_content}" } - { "type": "uri", "uri": + "huggingface://llamastack/simpleqa?split=train" } - { "type": "rows", + "rows": [ { "messages": [ {"role": "user", "content": "Hello, world!"}, + {"role": "assistant", "content": "Hello, world!"}, ] } ] } metadata: type: object additionalProperties: @@ -6421,7 +6385,7 @@ components: dataset_id: type: string description: >- - The ID of the dataset. If not provided, a random ID will be generated. + The ID of the dataset. If not provided, an ID will be generated. additionalProperties: false required: - purpose diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index c25b861c3..9fe3cd1e0 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -193,7 +193,7 @@ class Datasets(Protocol): } :param metadata: The metadata for the dataset. - E.g. {"description": "My dataset"} - :param dataset_id: The ID of the dataset. If not provided, a random ID will be generated. + :param dataset_id: The ID of the dataset. If not provided, an ID will be generated. """ ... From 7606e49dbc864deb221decdafc14bf29943ce58d Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Thu, 13 Mar 2025 16:41:03 -0700 Subject: [PATCH 22/73] feat(dataset api): (1.1/n) dataset api implementation fix pre-commit (#1625) # What does this PR do? - fix pre-commit with api updates [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan ``` pre-commit ``` [//]: # (## Documentation) --- llama_stack/apis/datasetio/datasetio.py | 4 +- llama_stack/apis/datasets/datasets.py | 2 +- .../open-benchmark/open_benchmark.py | 60 +++++----------- llama_stack/templates/open-benchmark/run.yaml | 70 ++++++------------- llama_stack/templates/template.py | 3 + 5 files changed, 42 insertions(+), 97 deletions(-) diff --git a/llama_stack/apis/datasetio/datasetio.py b/llama_stack/apis/datasetio/datasetio.py index 2c6c8e981..9ce90da01 100644 --- a/llama_stack/apis/datasetio/datasetio.py +++ b/llama_stack/apis/datasetio/datasetio.py @@ -55,6 +55,4 @@ class DatasetIO(Protocol): ... @webmethod(route="/datasets/{dataset_id}/rows", method="POST") - async def append_rows( - self, dataset_id: str, rows: List[Dict[str, Any]] - ) -> None: ... + async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: ... diff --git a/llama_stack/apis/datasets/datasets.py b/llama_stack/apis/datasets/datasets.py index 9fe3cd1e0..1dd29ad8e 100644 --- a/llama_stack/apis/datasets/datasets.py +++ b/llama_stack/apis/datasets/datasets.py @@ -13,7 +13,7 @@ from llama_stack.apis.resource import Resource, ResourceType from llama_stack.schema_utils import json_schema_type, register_schema, webmethod -class DatasetPurpose(Enum): +class DatasetPurpose(str, Enum): """ Purpose of the dataset. Each purpose has a required input data schema. diff --git a/llama_stack/templates/open-benchmark/open_benchmark.py b/llama_stack/templates/open-benchmark/open_benchmark.py index 2b40797f9..a598d8660 100644 --- a/llama_stack/templates/open-benchmark/open_benchmark.py +++ b/llama_stack/templates/open-benchmark/open_benchmark.py @@ -6,7 +6,7 @@ from typing import Dict, List, Tuple -from llama_stack.apis.common.content_types import URL +from llama_stack.apis.datasets import DatasetPurpose, URIDataSource from llama_stack.apis.models.models import ModelType from llama_stack.distribution.datatypes import ( BenchmarkInput, @@ -171,60 +171,34 @@ def get_distribution_template() -> DistributionTemplate: DatasetInput( dataset_id="simpleqa", provider_id="huggingface", - url=URL(uri="https://huggingface.co/datasets/llamastack/simpleqa"), - metadata={ - "path": "llamastack/simpleqa", - "split": "train", - }, - dataset_schema={ - "input_query": {"type": "string"}, - "expected_answer": {"type": "string"}, - "chat_completion_input": {"type": "string"}, - }, + purpose=DatasetPurpose.eval_messages_answer, + source=URIDataSource( + uri="huggingface://llamastack/simpleqa?split=train", + ), ), DatasetInput( dataset_id="mmlu_cot", provider_id="huggingface", - url=URL(uri="https://huggingface.co/datasets/llamastack/mmlu_cot"), - metadata={ - "path": "llamastack/mmlu_cot", - "name": "all", - "split": "test", - }, - dataset_schema={ - "input_query": {"type": "string"}, - "expected_answer": {"type": "string"}, - "chat_completion_input": {"type": "string"}, - }, + purpose=DatasetPurpose.eval_messages_answer, + source=URIDataSource( + uri="huggingface://llamastack/mmlu_cot?split=test&name=all", + ), ), DatasetInput( dataset_id="gpqa_cot", provider_id="huggingface", - url=URL(uri="https://huggingface.co/datasets/llamastack/gpqa_0shot_cot"), - metadata={ - "path": "llamastack/gpqa_0shot_cot", - "name": "gpqa_main", - "split": "train", - }, - dataset_schema={ - "input_query": {"type": "string"}, - "expected_answer": {"type": "string"}, - "chat_completion_input": {"type": "string"}, - }, + purpose=DatasetPurpose.eval_messages_answer, + source=URIDataSource( + uri="huggingface://llamastack/gpqa_0shot_cot?split=test&name=gpqa_main", + ), ), DatasetInput( dataset_id="math_500", provider_id="huggingface", - url=URL(uri="https://huggingface.co/datasets/llamastack/math_500"), - metadata={ - "path": "llamastack/math_500", - "split": "test", - }, - dataset_schema={ - "input_query": {"type": "string"}, - "expected_answer": {"type": "string"}, - "chat_completion_input": {"type": "string"}, - }, + purpose=DatasetPurpose.eval_messages_answer, + source=URIDataSource( + uri="huggingface://llamastack/math_500?split=test", + ), ), ] diff --git a/llama_stack/templates/open-benchmark/run.yaml b/llama_stack/templates/open-benchmark/run.yaml index 5ef25435b..c0043eb2c 100644 --- a/llama_stack/templates/open-benchmark/run.yaml +++ b/llama_stack/templates/open-benchmark/run.yaml @@ -158,62 +158,32 @@ shields: - shield_id: meta-llama/Llama-Guard-3-8B vector_dbs: [] datasets: -- dataset_schema: - input_query: - type: string - expected_answer: - type: string - chat_completion_input: - type: string - url: - uri: https://huggingface.co/datasets/llamastack/simpleqa - metadata: - path: llamastack/simpleqa - split: train +- purpose: eval/messages-answer + source: + type: uri + uri: huggingface://llamastack/simpleqa?split=train + metadata: {} dataset_id: simpleqa provider_id: huggingface -- dataset_schema: - input_query: - type: string - expected_answer: - type: string - chat_completion_input: - type: string - url: - uri: https://huggingface.co/datasets/llamastack/mmlu_cot - metadata: - path: llamastack/mmlu_cot - name: all - split: test +- purpose: eval/messages-answer + source: + type: uri + uri: huggingface://llamastack/mmlu_cot?split=test&name=all + metadata: {} dataset_id: mmlu_cot provider_id: huggingface -- dataset_schema: - input_query: - type: string - expected_answer: - type: string - chat_completion_input: - type: string - url: - uri: https://huggingface.co/datasets/llamastack/gpqa_0shot_cot - metadata: - path: llamastack/gpqa_0shot_cot - name: gpqa_main - split: train +- purpose: eval/messages-answer + source: + type: uri + uri: huggingface://llamastack/gpqa_0shot_cot?split=test&name=gpqa_main + metadata: {} dataset_id: gpqa_cot provider_id: huggingface -- dataset_schema: - input_query: - type: string - expected_answer: - type: string - chat_completion_input: - type: string - url: - uri: https://huggingface.co/datasets/llamastack/math_500 - metadata: - path: llamastack/math_500 - split: test +- purpose: eval/messages-answer + source: + type: uri + uri: huggingface://llamastack/math_500?split=test + metadata: {} dataset_id: math_500 provider_id: huggingface scoring_fns: [] diff --git a/llama_stack/templates/template.py b/llama_stack/templates/template.py index a5c8e80bc..92b1b534d 100644 --- a/llama_stack/templates/template.py +++ b/llama_stack/templates/template.py @@ -11,6 +11,7 @@ import jinja2 import yaml from pydantic import BaseModel, Field +from llama_stack.apis.datasets import DatasetPurpose from llama_stack.apis.models.models import ModelType from llama_stack.distribution.datatypes import ( Api, @@ -214,7 +215,9 @@ class DistributionTemplate(BaseModel): # Register YAML representer for ModelType yaml.add_representer(ModelType, enum_representer) + yaml.add_representer(DatasetPurpose, enum_representer) yaml.SafeDumper.add_representer(ModelType, enum_representer) + yaml.SafeDumper.add_representer(DatasetPurpose, enum_representer) for output_dir in [yaml_output_dir, doc_output_dir]: output_dir.mkdir(parents=True, exist_ok=True) From 39f4dfbf508ec695495d582f3d25c6c230ac7aea Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 13:58:47 -0700 Subject: [PATCH 23/73] feat(api): (1.2/n) datasets.iterrorws pagination api updates (#1656) # What does this PR do? - as title - uses "cursor" pagination scheme for iterrows [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan image [//]: # (## Documentation) --- docs/_static/llama-stack-spec.html | 44 ++++++++--------------- docs/_static/llama-stack-spec.yaml | 48 +++++++++++-------------- llama_stack/apis/datasetio/datasetio.py | 33 ++++++++--------- 3 files changed, 50 insertions(+), 75 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 743ff91c8..083678699 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -40,7 +40,7 @@ } ], "paths": { - "/v1/datasets/{dataset_id}/rows": { + "/v1/datasets/{dataset_id}/append-rows": { "post": { "responses": { "200": { @@ -2185,7 +2185,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/PaginatedRowsResult" + "$ref": "#/components/schemas/IterrowsResponse" } } } @@ -2206,7 +2206,7 @@ "tags": [ "DatasetIO" ], - "description": "Get a paginated list of rows from a dataset.", + "description": "Get a paginated list of rows from a dataset. Uses cursor-based pagination.", "parameters": [ { "name": "dataset_id", @@ -2218,30 +2218,21 @@ } }, { - "name": "rows_in_page", + "name": "start_index", "in": "query", - "description": "The number of rows to get per page.", - "required": true, + "description": "Index into dataset for the first row to get. Get all rows if None.", + "required": false, "schema": { "type": "integer" } }, { - "name": "page_token", + "name": "limit", "in": "query", - "description": "The token to get the next page of rows.", + "description": "The number of rows to get per page.", "required": false, "schema": { - "type": "string" - } - }, - { - "name": "filter_condition", - "in": "query", - "description": "(Optional) A condition to filter the rows by.", - "required": false, - "schema": { - "type": "string" + "type": "integer" } } ] @@ -8137,10 +8128,10 @@ ], "title": "ToolInvocationResult" }, - "PaginatedRowsResult": { + "IterrowsResponse": { "type": "object", "properties": { - "rows": { + "data": { "type": "array", "items": { "type": "object", @@ -8169,21 +8160,16 @@ }, "description": "The rows in the current page." }, - "total_count": { + "next_index": { "type": "integer", - "description": "The total number of rows in the dataset." - }, - "next_page_token": { - "type": "string", - "description": "The token to get the next page of rows." + "description": "Index into dataset for the first row in the next page. None if there are no more rows." } }, "additionalProperties": false, "required": [ - "rows", - "total_count" + "data" ], - "title": "PaginatedRowsResult", + "title": "IterrowsResponse", "description": "A paginated list of rows from a dataset." }, "ListAgentSessionsResponse": { diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index a44ee35ea..43880dac8 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -10,7 +10,7 @@ info: servers: - url: http://any-hosted-llama-stack.com paths: - /v1/datasets/{dataset_id}/rows: + /v1/datasets/{dataset_id}/append-rows: post: responses: '200': @@ -1465,7 +1465,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/PaginatedRowsResult' + $ref: '#/components/schemas/IterrowsResponse' '400': $ref: '#/components/responses/BadRequest400' '429': @@ -1479,7 +1479,7 @@ paths: tags: - DatasetIO description: >- - Get a paginated list of rows from a dataset. + Get a paginated list of rows from a dataset. Uses cursor-based pagination. parameters: - name: dataset_id in: path @@ -1488,25 +1488,19 @@ paths: required: true schema: type: string - - name: rows_in_page - in: query - description: The number of rows to get per page. - required: true - schema: - type: integer - - name: page_token - in: query - description: The token to get the next page of rows. - required: false - schema: - type: string - - name: filter_condition + - name: start_index in: query description: >- - (Optional) A condition to filter the rows by. + Index into dataset for the first row to get. Get all rows if None. required: false schema: - type: string + type: integer + - name: limit + in: query + description: The number of rows to get per page. + required: false + schema: + type: integer /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}: get: responses: @@ -5547,10 +5541,10 @@ components: required: - content title: ToolInvocationResult - PaginatedRowsResult: + IterrowsResponse: type: object properties: - rows: + data: type: array items: type: object @@ -5563,17 +5557,15 @@ components: - type: array - type: object description: The rows in the current page. - total_count: + next_index: type: integer - description: The total number of rows in the dataset. - next_page_token: - type: string - description: The token to get the next page of rows. + description: >- + Index into dataset for the first row in the next page. None if there are + no more rows. additionalProperties: false required: - - rows - - total_count - title: PaginatedRowsResult + - data + title: IterrowsResponse description: A paginated list of rows from a dataset. ListAgentSessionsResponse: type: object diff --git a/llama_stack/apis/datasetio/datasetio.py b/llama_stack/apis/datasetio/datasetio.py index 9ce90da01..caa7c51df 100644 --- a/llama_stack/apis/datasetio/datasetio.py +++ b/llama_stack/apis/datasetio/datasetio.py @@ -13,19 +13,16 @@ from llama_stack.schema_utils import json_schema_type, webmethod @json_schema_type -class PaginatedRowsResult(BaseModel): +class IterrowsResponse(BaseModel): """ A paginated list of rows from a dataset. - :param rows: The rows in the current page. - :param total_count: The total number of rows in the dataset. - :param next_page_token: The token to get the next page of rows. + :param data: The rows in the current page. + :param next_index: Index into dataset for the first row in the next page. None if there are no more rows. """ - # the rows obey the DatasetSchema for the given dataset - rows: List[Dict[str, Any]] - total_count: int - next_page_token: Optional[str] = None + data: List[Dict[str, Any]] + next_index: Optional[int] = None class DatasetStore(Protocol): @@ -41,18 +38,18 @@ class DatasetIO(Protocol): async def iterrows( self, dataset_id: str, - rows_in_page: int, - page_token: Optional[str] = None, - filter_condition: Optional[str] = None, - ) -> PaginatedRowsResult: - """Get a paginated list of rows from a dataset. + start_index: Optional[int] = None, + limit: Optional[int] = None, + ) -> IterrowsResponse: + """Get a paginated list of rows from a dataset. Uses cursor-based pagination. :param dataset_id: The ID of the dataset to get the rows from. - :param rows_in_page: The number of rows to get per page. - :param page_token: The token to get the next page of rows. - :param filter_condition: (Optional) A condition to filter the rows by. + :param start_index: Index into dataset for the first row to get. Get all rows if None. + :param limit: The number of rows to get per page. """ ... - @webmethod(route="/datasets/{dataset_id}/rows", method="POST") - async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: ... + @webmethod(route="/datasets/{dataset_id}/append-rows", method="POST") + async def append_rows( + self, dataset_id: str, rows: List[Dict[str, Any]] + ) -> None: ... From 5cb0ad7d7f36b2cc1953420c24225710ae0abc33 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 14:08:01 -0700 Subject: [PATCH 24/73] openapi gen + precommit fix --- .../ondevice_distro/android_sdk.md | 2 +- llama_stack/apis/datasetio/datasetio.py | 4 +--- .../open-benchmark/open_benchmark.py | 16 ++++---------- llama_stack/templates/open-benchmark/run.yaml | 21 +++++-------------- 4 files changed, 11 insertions(+), 32 deletions(-) diff --git a/docs/source/distributions/ondevice_distro/android_sdk.md b/docs/source/distributions/ondevice_distro/android_sdk.md index 8ec8df6ee..4fa6eaf70 100644 --- a/docs/source/distributions/ondevice_distro/android_sdk.md +++ b/docs/source/distributions/ondevice_distro/android_sdk.md @@ -58,7 +58,7 @@ Breaking down the demo app, this section will show the core pieces that are used ### Setup Remote Inferencing Start a Llama Stack server on localhost. Here is an example of how you can do this using the firework.ai distribution: ``` -conda create -n stack-fireworks python=3.10 +conda create -n stack-fireworks python=3.10 conda activate stack-fireworks pip install --no-cache llama-stack==0.1.4 llama stack build --template fireworks --image-type conda diff --git a/llama_stack/apis/datasetio/datasetio.py b/llama_stack/apis/datasetio/datasetio.py index caa7c51df..e7073fd29 100644 --- a/llama_stack/apis/datasetio/datasetio.py +++ b/llama_stack/apis/datasetio/datasetio.py @@ -50,6 +50,4 @@ class DatasetIO(Protocol): ... @webmethod(route="/datasets/{dataset_id}/append-rows", method="POST") - async def append_rows( - self, dataset_id: str, rows: List[Dict[str, Any]] - ) -> None: ... + async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: ... diff --git a/llama_stack/templates/open-benchmark/open_benchmark.py b/llama_stack/templates/open-benchmark/open_benchmark.py index b52424f60..09ea972fa 100644 --- a/llama_stack/templates/open-benchmark/open_benchmark.py +++ b/llama_stack/templates/open-benchmark/open_benchmark.py @@ -203,18 +203,10 @@ def get_distribution_template() -> DistributionTemplate: DatasetInput( dataset_id="bfcl", provider_id="huggingface", - url=URL(uri="https://huggingface.co/datasets/llamastack/bfcl_v3"), - metadata={ - "path": "llamastack/bfcl_v3", - "split": "train", - }, - dataset_schema={ - "function": {"type": "string"}, - "language": {"type": "string"}, - "ground_truth": {"type": "string"}, - "id": {"type": "string"}, - "chat_completion_input": {"type": "string"}, - }, + purpose=DatasetPurpose.eval_messages_answer, + source=URIDataSource( + uri="huggingface://llamastack/bfcl_v3?split=train", + ), ), ] diff --git a/llama_stack/templates/open-benchmark/run.yaml b/llama_stack/templates/open-benchmark/run.yaml index 59f7941b8..3af70d565 100644 --- a/llama_stack/templates/open-benchmark/run.yaml +++ b/llama_stack/templates/open-benchmark/run.yaml @@ -186,22 +186,11 @@ datasets: metadata: {} dataset_id: math_500 provider_id: huggingface -- dataset_schema: - function: - type: string - language: - type: string - ground_truth: - type: string - id: - type: string - chat_completion_input: - type: string - url: - uri: https://huggingface.co/datasets/llamastack/bfcl_v3 - metadata: - path: llamastack/bfcl_v3 - split: train +- purpose: eval/messages-answer + source: + type: uri + uri: huggingface://llamastack/bfcl_v3?split=train + metadata: {} dataset_id: bfcl provider_id: huggingface scoring_fns: [] From 72ccdc19a8d2140fd4bf0fe930fec28324666971 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 14:12:45 -0700 Subject: [PATCH 25/73] feat(datasets api): (1.3/n) patch OpenAPI gen for datasetio->datasets (#1657) # What does this PR do? - We need to tag DatasetIO class correctly with Datasets with the endpoint change [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan **Before** image **After** image [//]: # (## Documentation) --- docs/_static/llama-stack-spec.html | 26 ++++++------- docs/_static/llama-stack-spec.yaml | 26 ++++++------- docs/openapi_generator/pyopenapi/generator.py | 39 +++++++++++-------- 3 files changed, 48 insertions(+), 43 deletions(-) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 083678699..462034c3d 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -60,7 +60,7 @@ } }, "tags": [ - "DatasetIO" + "Datasets" ], "description": "", "parameters": [ @@ -524,7 +524,7 @@ } }, "tags": [ - "Files (Coming Soon)" + "Files" ], "description": "List all buckets.", "parameters": [ @@ -564,7 +564,7 @@ } }, "tags": [ - "Files (Coming Soon)" + "Files" ], "description": "Create a new upload session for a file identified by a bucket and key.", "parameters": [], @@ -791,7 +791,7 @@ } }, "tags": [ - "Files (Coming Soon)" + "Files" ], "description": "Get a file info identified by a bucket and key.", "parameters": [ @@ -841,7 +841,7 @@ } }, "tags": [ - "Files (Coming Soon)" + "Files" ], "description": "Delete a file identified by a bucket and key.", "parameters": [ @@ -1830,7 +1830,7 @@ } }, "tags": [ - "Files (Coming Soon)" + "Files" ], "description": "Returns information about an existsing upload session", "parameters": [ @@ -1878,7 +1878,7 @@ } }, "tags": [ - "Files (Coming Soon)" + "Files" ], "description": "Upload file content to an existing upload session. On the server, request body will have the raw bytes that are uploaded.", "parameters": [ @@ -2204,7 +2204,7 @@ } }, "tags": [ - "DatasetIO" + "Datasets" ], "description": "Get a paginated list of rows from a dataset. Uses cursor-based pagination.", "parameters": [ @@ -2603,7 +2603,7 @@ } }, "tags": [ - "Files (Coming Soon)" + "Files" ], "description": "List all files in a bucket.", "parameters": [ @@ -10274,7 +10274,7 @@ "name": "Benchmarks" }, { - "name": "DatasetIO" + "name": "Datasets" }, { "name": "Datasets" @@ -10284,7 +10284,7 @@ "x-displayName": "Llama Stack Evaluation API for running evaluations on model and agent candidates." }, { - "name": "Files (Coming Soon)" + "name": "Files" }, { "name": "Inference", @@ -10342,10 +10342,10 @@ "Agents", "BatchInference (Coming Soon)", "Benchmarks", - "DatasetIO", + "Datasets", "Datasets", "Eval", - "Files (Coming Soon)", + "Files", "Inference", "Inspect", "Models", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 43880dac8..79adc221a 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -26,7 +26,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - DatasetIO + - Datasets description: '' parameters: - name: dataset_id @@ -350,7 +350,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Files (Coming Soon) + - Files description: List all buckets. parameters: - name: bucket @@ -377,7 +377,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Files (Coming Soon) + - Files description: >- Create a new upload session for a file identified by a bucket and key. parameters: [] @@ -536,7 +536,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Files (Coming Soon) + - Files description: >- Get a file info identified by a bucket and key. parameters: @@ -572,7 +572,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Files (Coming Soon) + - Files description: >- Delete a file identified by a bucket and key. parameters: @@ -1224,7 +1224,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Files (Coming Soon) + - Files description: >- Returns information about an existsing upload session parameters: @@ -1255,7 +1255,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Files (Coming Soon) + - Files description: >- Upload file content to an existing upload session. On the server, request body will have the raw bytes that are uploaded. @@ -1477,7 +1477,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - DatasetIO + - Datasets description: >- Get a paginated list of rows from a dataset. Uses cursor-based pagination. parameters: @@ -1754,7 +1754,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Files (Coming Soon) + - Files description: List all files in a bucket. parameters: - name: bucket @@ -6931,12 +6931,12 @@ tags: Agents API for creating and interacting with agentic systems. - name: BatchInference (Coming Soon) - name: Benchmarks - - name: DatasetIO + - name: Datasets - name: Datasets - name: Eval x-displayName: >- Llama Stack Evaluation API for running evaluations on model and agent candidates. - - name: Files (Coming Soon) + - name: Files - name: Inference description: >- This API provides the raw interface to the underlying models. Two kinds of models @@ -6971,10 +6971,10 @@ x-tagGroups: - Agents - BatchInference (Coming Soon) - Benchmarks - - DatasetIO + - Datasets - Datasets - Eval - - Files (Coming Soon) + - Files - Inference - Inspect - Models diff --git a/docs/openapi_generator/pyopenapi/generator.py b/docs/openapi_generator/pyopenapi/generator.py index 91f32e6c8..a7ee87125 100644 --- a/docs/openapi_generator/pyopenapi/generator.py +++ b/docs/openapi_generator/pyopenapi/generator.py @@ -435,7 +435,7 @@ class Generator: ) self.schema_builder = SchemaBuilder(schema_generator) self.responses = {} - + # Create standard error responses self._create_standard_error_responses() @@ -446,7 +446,7 @@ class Generator: """ # Get the Error schema error_schema = self.schema_builder.classdef_to_ref(Error) - + # Create standard error responses self.responses["BadRequest400"] = Response( description="The request was invalid or malformed", @@ -457,11 +457,11 @@ class Generator: "status": 400, "title": "Bad Request", "detail": "The request was invalid or malformed", - } + }, ) - } + }, ) - + self.responses["TooManyRequests429"] = Response( description="The client has sent too many requests in a given amount of time", content={ @@ -471,11 +471,11 @@ class Generator: "status": 429, "title": "Too Many Requests", "detail": "You have exceeded the rate limit. Please try again later.", - } + }, ) - } + }, ) - + self.responses["InternalServerError500"] = Response( description="The server encountered an unexpected error", content={ @@ -485,11 +485,11 @@ class Generator: "status": 500, "title": "Internal Server Error", "detail": "An unexpected error occurred. Our team has been notified.", - } + }, ) - } + }, ) - + # Add a default error response for any unhandled error cases self.responses["DefaultError"] = Response( description="An unexpected error occurred", @@ -500,9 +500,9 @@ class Generator: "status": 0, "title": "Error", "detail": "An unexpected error occurred", - } + }, ) - } + }, ) def _build_type_tag(self, ref: str, schema: Schema) -> Tag: @@ -547,11 +547,14 @@ class Generator: "SyntheticDataGeneration", "PostTraining", "BatchInference", - "Files", ]: op.defining_class.__name__ = f"{op.defining_class.__name__} (Coming Soon)" print(op.defining_class.__name__) + # TODO (xiyan): temporary fix for datasetio inner impl + datasets api + if op.defining_class.__name__ in ["DatasetIO"]: + op.defining_class.__name__ = "Datasets" + doc_string = parse_type(op.func_ref) doc_params = dict( (param.name, param.description) for param in doc_string.params.values() @@ -598,7 +601,9 @@ class Generator: # data passed in request body as raw bytes cannot have request parameters if raw_bytes_request_body and op.request_params: - raise ValueError("Cannot have both raw bytes request body and request parameters") + raise ValueError( + "Cannot have both raw bytes request body and request parameters" + ) # data passed in request body as raw bytes if raw_bytes_request_body: @@ -719,7 +724,7 @@ class Generator: responses.update(response_builder.build_response(response_options)) assert len(responses.keys()) > 0, f"No responses found for {op.name}" - + # Add standard error response references if self.options.include_standard_error_responses: if "400" not in responses: @@ -730,7 +735,7 @@ class Generator: responses["500"] = ResponseRef("InternalServerError500") if "default" not in responses: responses["default"] = ResponseRef("DefaultError") - + if op.event_type is not None: builder = ContentBuilder(self.schema_builder) callbacks = { From 2c9d62491060045351c1222f0c8c2aa322eaac4e Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 14:56:11 -0700 Subject: [PATCH 26/73] feat(dataset api): (1.4/n) fix resolver signature mismatch (#1658) # What does this PR do? - fix datasets api signature mis-match so that llama stack run can start [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan ``` llama stack run ``` image [//]: # (## Documentation) --- llama_stack/distribution/routers/routers.py | 51 +++++++++++++----- .../distribution/routers/routing_tables.py | 52 ++++++++++++------- .../ui/page/evaluations/native_eval.py | 2 +- .../inline/datasetio/localfs/datasetio.py | 33 +++++------- .../inline/eval/meta_reference/eval.py | 2 +- .../recipes/lora_finetuning_single_device.py | 2 +- .../providers/inline/scoring/basic/scoring.py | 6 ++- .../inline/scoring/braintrust/braintrust.py | 2 +- .../inline/scoring/llm_as_judge/scoring.py | 2 +- .../datasetio/huggingface/huggingface.py | 33 +++++------- 10 files changed, 105 insertions(+), 80 deletions(-) diff --git a/llama_stack/distribution/routers/routers.py b/llama_stack/distribution/routers/routers.py index 22a1e46f9..2cf38f544 100644 --- a/llama_stack/distribution/routers/routers.py +++ b/llama_stack/distribution/routers/routers.py @@ -12,7 +12,8 @@ from llama_stack.apis.common.content_types import ( InterleavedContent, InterleavedContentItem, ) -from llama_stack.apis.datasetio import DatasetIO, PaginatedRowsResult +from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse +from llama_stack.apis.datasets import DatasetPurpose, DataSource from llama_stack.apis.eval import ( BenchmarkConfig, Eval, @@ -160,7 +161,11 @@ class InferenceRouter(Inference): await self.routing_table.register_model(model_id, provider_model_id, provider_id, metadata, model_type) def _construct_metrics( - self, prompt_tokens: int, completion_tokens: int, total_tokens: int, model: Model + self, + prompt_tokens: int, + completion_tokens: int, + total_tokens: int, + model: Model, ) -> List[MetricEvent]: """Constructs a list of MetricEvent objects containing token usage metrics. @@ -298,7 +303,12 @@ class InferenceRouter(Inference): completion_text += chunk.event.delta.text if chunk.event.event_type == ChatCompletionResponseEventType.complete: completion_tokens = await self._count_tokens( - [CompletionMessage(content=completion_text, stop_reason=StopReason.end_of_turn)], + [ + CompletionMessage( + content=completion_text, + stop_reason=StopReason.end_of_turn, + ) + ], tool_config.tool_prompt_format, ) total_tokens = (prompt_tokens or 0) + (completion_tokens or 0) @@ -471,21 +481,36 @@ class DatasetIORouter(DatasetIO): logger.debug("DatasetIORouter.shutdown") pass - async def get_rows_paginated( + async def register_dataset( + self, + purpose: DatasetPurpose, + source: DataSource, + metadata: Optional[Dict[str, Any]] = None, + dataset_id: Optional[str] = None, + ) -> None: + logger.debug( + f"DatasetIORouter.register_dataset: {purpose=} {source=} {metadata=} {dataset_id=}", + ) + await self.routing_table.register_dataset( + purpose=purpose, + source=source, + metadata=metadata, + dataset_id=dataset_id, + ) + + async def iterrows( self, dataset_id: str, - rows_in_page: int, - page_token: Optional[str] = None, - filter_condition: Optional[str] = None, - ) -> PaginatedRowsResult: + start_index: Optional[int] = None, + limit: Optional[int] = None, + ) -> IterrowsResponse: logger.debug( - f"DatasetIORouter.get_rows_paginated: {dataset_id}, rows_in_page={rows_in_page}", + f"DatasetIORouter.iterrows: {dataset_id}, {start_index=} {limit=}", ) - return await self.routing_table.get_provider_impl(dataset_id).get_rows_paginated( + return await self.routing_table.get_provider_impl(dataset_id).iterrows( dataset_id=dataset_id, - rows_in_page=rows_in_page, - page_token=page_token, - filter_condition=filter_condition, + start_index=start_index, + limit=limit, ) async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py index 1be43ec8b..589a03b25 100644 --- a/llama_stack/distribution/routers/routing_tables.py +++ b/llama_stack/distribution/routers/routing_tables.py @@ -5,6 +5,7 @@ # the root directory of this source tree. import logging +import uuid from typing import Any, Dict, List, Optional from pydantic import TypeAdapter @@ -12,7 +13,14 @@ from pydantic import TypeAdapter from llama_stack.apis.benchmarks import Benchmark, Benchmarks, ListBenchmarksResponse from llama_stack.apis.common.content_types import URL from llama_stack.apis.common.type_system import ParamType -from llama_stack.apis.datasets import Dataset, Datasets, ListDatasetsResponse +from llama_stack.apis.datasets import ( + Dataset, + DatasetPurpose, + Datasets, + DatasetType, + DataSource, + ListDatasetsResponse, +) from llama_stack.apis.models import ListModelsResponse, Model, Models, ModelType from llama_stack.apis.resource import ResourceType from llama_stack.apis.scoring_functions import ( @@ -352,34 +360,42 @@ class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets): async def register_dataset( self, - dataset_id: str, - dataset_schema: Dict[str, ParamType], - url: URL, - provider_dataset_id: Optional[str] = None, - provider_id: Optional[str] = None, + purpose: DatasetPurpose, + source: DataSource, metadata: Optional[Dict[str, Any]] = None, - ) -> None: - if provider_dataset_id is None: - provider_dataset_id = dataset_id - if provider_id is None: - # If provider_id not specified, use the only provider if it supports this dataset - if len(self.impls_by_provider_id) == 1: - provider_id = list(self.impls_by_provider_id.keys())[0] + dataset_id: Optional[str] = None, + ) -> Dataset: + if not dataset_id: + dataset_id = f"dataset-{str(uuid.uuid4())}" + + provider_dataset_id = dataset_id + + # infer provider from source + if source.type == DatasetType.rows: + provider_id = "localfs" + elif source.type == DatasetType.uri: + # infer provider from uri + if source.uri.startswith("huggingface"): + provider_id = "huggingface" else: - raise ValueError( - f"No provider specified and multiple providers available. Please specify a provider_id. Available providers: {self.impls_by_provider_id.keys()}" - ) + provider_id = "localfs" + else: + raise ValueError(f"Unknown data source type: {source.type}") + if metadata is None: metadata = {} + dataset = Dataset( identifier=dataset_id, provider_resource_id=provider_dataset_id, provider_id=provider_id, - dataset_schema=dataset_schema, - url=url, + purpose=purpose, + source=source, metadata=metadata, ) + await self.register_object(dataset) + return dataset async def unregister_dataset(self, dataset_id: str) -> None: dataset = await self.get_dataset(dataset_id) diff --git a/llama_stack/distribution/ui/page/evaluations/native_eval.py b/llama_stack/distribution/ui/page/evaluations/native_eval.py index 00e949ed6..5ce5bc5d2 100644 --- a/llama_stack/distribution/ui/page/evaluations/native_eval.py +++ b/llama_stack/distribution/ui/page/evaluations/native_eval.py @@ -166,7 +166,7 @@ def run_evaluation_3(): eval_candidate = st.session_state["eval_candidate"] dataset_id = benchmarks[selected_benchmark].dataset_id - rows = llama_stack_api.client.datasetio.get_rows_paginated( + rows = llama_stack_api.client.datasetio.iterrows( dataset_id=dataset_id, rows_in_page=-1, ) diff --git a/llama_stack/providers/inline/datasetio/localfs/datasetio.py b/llama_stack/providers/inline/datasetio/localfs/datasetio.py index c5216e026..afa9ee0ff 100644 --- a/llama_stack/providers/inline/datasetio/localfs/datasetio.py +++ b/llama_stack/providers/inline/datasetio/localfs/datasetio.py @@ -13,7 +13,7 @@ from urllib.parse import urlparse import pandas from llama_stack.apis.common.content_types import URL -from llama_stack.apis.datasetio import DatasetIO, PaginatedRowsResult +from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse from llama_stack.apis.datasets import Dataset from llama_stack.providers.datatypes import DatasetsProtocolPrivate from llama_stack.providers.utils.datasetio.url_utils import get_dataframe_from_url @@ -128,36 +128,27 @@ class LocalFSDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): await self.kvstore.delete(key=key) del self.dataset_infos[dataset_id] - async def get_rows_paginated( + async def iterrows( self, dataset_id: str, - rows_in_page: int, - page_token: Optional[str] = None, - filter_condition: Optional[str] = None, - ) -> PaginatedRowsResult: + start_index: Optional[int] = None, + limit: Optional[int] = None, + ) -> IterrowsResponse: dataset_info = self.dataset_infos.get(dataset_id) dataset_info.dataset_impl.load() - if page_token and not page_token.isnumeric(): - raise ValueError("Invalid page_token") + start_index = start_index or 0 - if page_token is None or len(page_token) == 0: - next_page_token = 0 - else: - next_page_token = int(page_token) - - start = next_page_token - if rows_in_page == -1: + if limit is None or limit == -1: end = len(dataset_info.dataset_impl) else: - end = min(start + rows_in_page, len(dataset_info.dataset_impl)) + end = min(start_index + limit, len(dataset_info.dataset_impl)) - rows = dataset_info.dataset_impl[start:end] + rows = dataset_info.dataset_impl[start_index:end] - return PaginatedRowsResult( - rows=rows, - total_count=len(rows), - next_page_token=str(end), + return IterrowsResponse( + data=rows, + next_index=end if end < len(dataset_info.dataset_impl) else None, ) async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py index 85b351262..67e2eb193 100644 --- a/llama_stack/providers/inline/eval/meta_reference/eval.py +++ b/llama_stack/providers/inline/eval/meta_reference/eval.py @@ -90,7 +90,7 @@ class MetaReferenceEvalImpl( scoring_functions = task_def.scoring_functions dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id) validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.eval.value)) - all_rows = await self.datasetio_api.get_rows_paginated( + all_rows = await self.datasetio_api.iterrows( dataset_id=dataset_id, rows_in_page=(-1 if benchmark_config.num_examples is None else benchmark_config.num_examples), ) diff --git a/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py b/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py index 941c629e3..482bbd309 100644 --- a/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py +++ b/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py @@ -328,7 +328,7 @@ class LoraFinetuningSingleDevice: batch_size: int, ) -> Tuple[DistributedSampler, DataLoader]: async def fetch_rows(dataset_id: str): - return await self.datasetio_api.get_rows_paginated( + return await self.datasetio_api.iterrows( dataset_id=dataset_id, rows_in_page=-1, ) diff --git a/llama_stack/providers/inline/scoring/basic/scoring.py b/llama_stack/providers/inline/scoring/basic/scoring.py index 599f5f98c..915c33c8d 100644 --- a/llama_stack/providers/inline/scoring/basic/scoring.py +++ b/llama_stack/providers/inline/scoring/basic/scoring.py @@ -24,7 +24,9 @@ from llama_stack.providers.utils.common.data_schema_validator import ( from .config import BasicScoringConfig from .scoring_fn.bfcl_scoring_fn import BFCLScoringFn from .scoring_fn.equality_scoring_fn import EqualityScoringFn -from .scoring_fn.regex_parser_math_response_scoring_fn import RegexParserMathResponseScoringFn +from .scoring_fn.regex_parser_math_response_scoring_fn import ( + RegexParserMathResponseScoringFn, +) from .scoring_fn.regex_parser_scoring_fn import RegexParserScoringFn from .scoring_fn.subset_of_scoring_fn import SubsetOfScoringFn @@ -82,7 +84,7 @@ class BasicScoringImpl( dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id) validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value)) - all_rows = await self.datasetio_api.get_rows_paginated( + all_rows = await self.datasetio_api.iterrows( dataset_id=dataset_id, rows_in_page=-1, ) diff --git a/llama_stack/providers/inline/scoring/braintrust/braintrust.py b/llama_stack/providers/inline/scoring/braintrust/braintrust.py index a48b6b58b..1f5c3e147 100644 --- a/llama_stack/providers/inline/scoring/braintrust/braintrust.py +++ b/llama_stack/providers/inline/scoring/braintrust/braintrust.py @@ -167,7 +167,7 @@ class BraintrustScoringImpl( dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id) validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value)) - all_rows = await self.datasetio_api.get_rows_paginated( + all_rows = await self.datasetio_api.iterrows( dataset_id=dataset_id, rows_in_page=-1, ) diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py index 5b1715d9f..c6e0d39c9 100644 --- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py +++ b/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py @@ -72,7 +72,7 @@ class LlmAsJudgeScoringImpl( dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id) validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value)) - all_rows = await self.datasetio_api.get_rows_paginated( + all_rows = await self.datasetio_api.iterrows( dataset_id=dataset_id, rows_in_page=-1, ) diff --git a/llama_stack/providers/remote/datasetio/huggingface/huggingface.py b/llama_stack/providers/remote/datasetio/huggingface/huggingface.py index cd4e7f1f1..d59edda30 100644 --- a/llama_stack/providers/remote/datasetio/huggingface/huggingface.py +++ b/llama_stack/providers/remote/datasetio/huggingface/huggingface.py @@ -7,7 +7,7 @@ from typing import Any, Dict, List, Optional import datasets as hf_datasets -from llama_stack.apis.datasetio import DatasetIO, PaginatedRowsResult +from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse from llama_stack.apis.datasets import Dataset from llama_stack.providers.datatypes import DatasetsProtocolPrivate from llama_stack.providers.utils.datasetio.url_utils import get_dataframe_from_url @@ -73,36 +73,27 @@ class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): await self.kvstore.delete(key=key) del self.dataset_infos[dataset_id] - async def get_rows_paginated( + async def iterrows( self, dataset_id: str, - rows_in_page: int, - page_token: Optional[str] = None, - filter_condition: Optional[str] = None, - ) -> PaginatedRowsResult: + start_index: Optional[int] = None, + limit: Optional[int] = None, + ) -> IterrowsResponse: dataset_def = self.dataset_infos[dataset_id] loaded_dataset = load_hf_dataset(dataset_def) - if page_token and not page_token.isnumeric(): - raise ValueError("Invalid page_token") + start_index = start_index or 0 - if page_token is None or len(page_token) == 0: - next_page_token = 0 - else: - next_page_token = int(page_token) - - start = next_page_token - if rows_in_page == -1: + if limit is None or limit == -1: end = len(loaded_dataset) else: - end = min(start + rows_in_page, len(loaded_dataset)) + end = min(start_index + limit, len(loaded_dataset)) - rows = [loaded_dataset[i] for i in range(start, end)] + rows = [loaded_dataset[i] for i in range(start_index, end)] - return PaginatedRowsResult( - rows=rows, - total_count=len(rows), - next_page_token=str(end), + return IterrowsResponse( + data=rows, + next_index=end if end < len(loaded_dataset) else None, ) async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: From a568bf3f9deecbea847c7fdcde362e95aede08d9 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 16:48:09 -0700 Subject: [PATCH 27/73] feat(dataset api): (1.5/n) fix dataset registeration (#1659) # What does this PR do? - fix dataset registeration & iterrows > NOTE: the URL endpoint is changed to datasetio due to flaky path routing [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan ``` LLAMA_STACK_CONFIG=fireworks pytest -v tests/integration/datasets/test_datasets.py ``` image [//]: # (## Documentation) --- docs/_static/llama-stack-spec.html | 12 +- docs/_static/llama-stack-spec.yaml | 12 +- docs/openapi_generator/pyopenapi/generator.py | 4 +- llama_stack/apis/datasetio/datasetio.py | 5 +- .../distribution/routers/routing_tables.py | 4 +- .../inline/datasetio/localfs/datasetio.py | 112 ++++------------- .../datasetio/huggingface/huggingface.py | 32 ++--- .../providers/utils/datasetio/url_utils.py | 17 ++- tests/integration/datasetio/test_datasetio.py | 114 ------------------ .../{datasetio => datasets}/__init__.py | 0 .../{datasetio => datasets}/test_dataset.csv | 0 tests/integration/datasets/test_datasets.py | 95 +++++++++++++++ .../test_rag_dataset.csv | 0 13 files changed, 159 insertions(+), 248 deletions(-) delete mode 100644 tests/integration/datasetio/test_datasetio.py rename tests/integration/{datasetio => datasets}/__init__.py (100%) rename tests/integration/{datasetio => datasets}/test_dataset.csv (100%) create mode 100644 tests/integration/datasets/test_datasets.py rename tests/integration/{datasetio => datasets}/test_rag_dataset.csv (100%) diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html index 462034c3d..e3c81ddb9 100644 --- a/docs/_static/llama-stack-spec.html +++ b/docs/_static/llama-stack-spec.html @@ -40,7 +40,7 @@ } ], "paths": { - "/v1/datasets/{dataset_id}/append-rows": { + "/v1/datasetio/append-rows/{dataset_id}": { "post": { "responses": { "200": { @@ -60,7 +60,7 @@ } }, "tags": [ - "Datasets" + "DatasetIO" ], "description": "", "parameters": [ @@ -2177,7 +2177,7 @@ } } }, - "/v1/datasets/{dataset_id}/iterrows": { + "/v1/datasetio/iterrows/{dataset_id}": { "get": { "responses": { "200": { @@ -2204,7 +2204,7 @@ } }, "tags": [ - "Datasets" + "DatasetIO" ], "description": "Get a paginated list of rows from a dataset. Uses cursor-based pagination.", "parameters": [ @@ -10274,7 +10274,7 @@ "name": "Benchmarks" }, { - "name": "Datasets" + "name": "DatasetIO" }, { "name": "Datasets" @@ -10342,7 +10342,7 @@ "Agents", "BatchInference (Coming Soon)", "Benchmarks", - "Datasets", + "DatasetIO", "Datasets", "Eval", "Files", diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml index 79adc221a..a3d4dbcc9 100644 --- a/docs/_static/llama-stack-spec.yaml +++ b/docs/_static/llama-stack-spec.yaml @@ -10,7 +10,7 @@ info: servers: - url: http://any-hosted-llama-stack.com paths: - /v1/datasets/{dataset_id}/append-rows: + /v1/datasetio/append-rows/{dataset_id}: post: responses: '200': @@ -26,7 +26,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Datasets + - DatasetIO description: '' parameters: - name: dataset_id @@ -1457,7 +1457,7 @@ paths: schema: $ref: '#/components/schemas/InvokeToolRequest' required: true - /v1/datasets/{dataset_id}/iterrows: + /v1/datasetio/iterrows/{dataset_id}: get: responses: '200': @@ -1477,7 +1477,7 @@ paths: default: $ref: '#/components/responses/DefaultError' tags: - - Datasets + - DatasetIO description: >- Get a paginated list of rows from a dataset. Uses cursor-based pagination. parameters: @@ -6931,7 +6931,7 @@ tags: Agents API for creating and interacting with agentic systems. - name: BatchInference (Coming Soon) - name: Benchmarks - - name: Datasets + - name: DatasetIO - name: Datasets - name: Eval x-displayName: >- @@ -6971,7 +6971,7 @@ x-tagGroups: - Agents - BatchInference (Coming Soon) - Benchmarks - - Datasets + - DatasetIO - Datasets - Eval - Files diff --git a/docs/openapi_generator/pyopenapi/generator.py b/docs/openapi_generator/pyopenapi/generator.py index a7ee87125..02a4776e4 100644 --- a/docs/openapi_generator/pyopenapi/generator.py +++ b/docs/openapi_generator/pyopenapi/generator.py @@ -552,8 +552,8 @@ class Generator: print(op.defining_class.__name__) # TODO (xiyan): temporary fix for datasetio inner impl + datasets api - if op.defining_class.__name__ in ["DatasetIO"]: - op.defining_class.__name__ = "Datasets" + # if op.defining_class.__name__ in ["DatasetIO"]: + # op.defining_class.__name__ = "Datasets" doc_string = parse_type(op.func_ref) doc_params = dict( diff --git a/llama_stack/apis/datasetio/datasetio.py b/llama_stack/apis/datasetio/datasetio.py index e7073fd29..6079e5b99 100644 --- a/llama_stack/apis/datasetio/datasetio.py +++ b/llama_stack/apis/datasetio/datasetio.py @@ -34,7 +34,8 @@ class DatasetIO(Protocol): # keeping for aligning with inference/safety, but this is not used dataset_store: DatasetStore - @webmethod(route="/datasets/{dataset_id}/iterrows", method="GET") + # TODO(xiyan): there's a flakiness here where setting route to "/datasets/" here will not result in proper routing + @webmethod(route="/datasetio/iterrows/{dataset_id:path}", method="GET") async def iterrows( self, dataset_id: str, @@ -49,5 +50,5 @@ class DatasetIO(Protocol): """ ... - @webmethod(route="/datasets/{dataset_id}/append-rows", method="POST") + @webmethod(route="/datasetio/append-rows/{dataset_id:path}", method="POST") async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: ... diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py index 589a03b25..533993421 100644 --- a/llama_stack/distribution/routers/routing_tables.py +++ b/llama_stack/distribution/routers/routing_tables.py @@ -371,9 +371,9 @@ class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets): provider_dataset_id = dataset_id # infer provider from source - if source.type == DatasetType.rows: + if source.type == DatasetType.rows.value: provider_id = "localfs" - elif source.type == DatasetType.uri: + elif source.type == DatasetType.uri.value: # infer provider from uri if source.uri.startswith("huggingface"): provider_id = "huggingface" diff --git a/llama_stack/providers/inline/datasetio/localfs/datasetio.py b/llama_stack/providers/inline/datasetio/localfs/datasetio.py index afa9ee0ff..3b0d01edd 100644 --- a/llama_stack/providers/inline/datasetio/localfs/datasetio.py +++ b/llama_stack/providers/inline/datasetio/localfs/datasetio.py @@ -3,20 +3,14 @@ # # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. -import base64 -import os -from abc import ABC, abstractmethod -from dataclasses import dataclass from typing import Any, Dict, List, Optional -from urllib.parse import urlparse import pandas -from llama_stack.apis.common.content_types import URL from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse from llama_stack.apis.datasets import Dataset from llama_stack.providers.datatypes import DatasetsProtocolPrivate -from llama_stack.providers.utils.datasetio.url_utils import get_dataframe_from_url +from llama_stack.providers.utils.datasetio.url_utils import get_dataframe_from_uri from llama_stack.providers.utils.kvstore import kvstore_impl from .config import LocalFSDatasetIOConfig @@ -24,30 +18,7 @@ from .config import LocalFSDatasetIOConfig DATASETS_PREFIX = "localfs_datasets:" -class BaseDataset(ABC): - def __init__(self, *args, **kwargs) -> None: - super().__init__(*args, **kwargs) - - @abstractmethod - def __len__(self) -> int: - raise NotImplementedError() - - @abstractmethod - def __getitem__(self, idx): - raise NotImplementedError() - - @abstractmethod - def load(self): - raise NotImplementedError() - - -@dataclass -class DatasetInfo: - dataset_def: Dataset - dataset_impl: BaseDataset - - -class PandasDataframeDataset(BaseDataset): +class PandasDataframeDataset: def __init__(self, dataset_def: Dataset, *args, **kwargs) -> None: super().__init__(*args, **kwargs) self.dataset_def = dataset_def @@ -64,23 +35,19 @@ class PandasDataframeDataset(BaseDataset): else: return self.df.iloc[idx].to_dict() - def _validate_dataset_schema(self, df) -> pandas.DataFrame: - # note that we will drop any columns in dataset that are not in the schema - df = df[self.dataset_def.dataset_schema.keys()] - # check all columns in dataset schema are present - assert len(df.columns) == len(self.dataset_def.dataset_schema) - # TODO: type checking against column types in dataset schema - return df - def load(self) -> None: if self.df is not None: return - df = get_dataframe_from_url(self.dataset_def.url) - if df is None: - raise ValueError(f"Failed to load dataset from {self.dataset_def.url}") + if self.dataset_def.source.type == "uri": + self.df = get_dataframe_from_uri(self.dataset_def.source.uri) + elif self.dataset_def.source.type == "rows": + self.df = pandas.DataFrame(self.dataset_def.source.rows) + else: + raise ValueError(f"Unsupported dataset source type: {self.dataset_def.source.type}") - self.df = self._validate_dataset_schema(df) + if self.df is None: + raise ValueError(f"Failed to load dataset from {self.dataset_def.url}") class LocalFSDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): @@ -99,29 +66,21 @@ class LocalFSDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): for dataset in stored_datasets: dataset = Dataset.model_validate_json(dataset) - dataset_impl = PandasDataframeDataset(dataset) - self.dataset_infos[dataset.identifier] = DatasetInfo( - dataset_def=dataset, - dataset_impl=dataset_impl, - ) + self.dataset_infos[dataset.identifier] = dataset async def shutdown(self) -> None: ... async def register_dataset( self, - dataset: Dataset, + dataset_def: Dataset, ) -> None: # Store in kvstore - key = f"{DATASETS_PREFIX}{dataset.identifier}" + key = f"{DATASETS_PREFIX}{dataset_def.identifier}" await self.kvstore.set( key=key, - value=dataset.json(), - ) - dataset_impl = PandasDataframeDataset(dataset) - self.dataset_infos[dataset.identifier] = DatasetInfo( - dataset_def=dataset, - dataset_impl=dataset_impl, + value=dataset_def.model_dump_json(), ) + self.dataset_infos[dataset_def.identifier] = dataset_def async def unregister_dataset(self, dataset_id: str) -> None: key = f"{DATASETS_PREFIX}{dataset_id}" @@ -134,51 +93,28 @@ class LocalFSDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): start_index: Optional[int] = None, limit: Optional[int] = None, ) -> IterrowsResponse: - dataset_info = self.dataset_infos.get(dataset_id) - dataset_info.dataset_impl.load() + dataset_def = self.dataset_infos[dataset_id] + dataset_impl = PandasDataframeDataset(dataset_def) + dataset_impl.load() start_index = start_index or 0 if limit is None or limit == -1: - end = len(dataset_info.dataset_impl) + end = len(dataset_impl) else: - end = min(start_index + limit, len(dataset_info.dataset_impl)) + end = min(start_index + limit, len(dataset_impl)) - rows = dataset_info.dataset_impl[start_index:end] + rows = dataset_impl[start_index:end] return IterrowsResponse( data=rows, - next_index=end if end < len(dataset_info.dataset_impl) else None, + next_index=end if end < len(dataset_impl) else None, ) async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: - dataset_info = self.dataset_infos.get(dataset_id) - if dataset_info is None: - raise ValueError(f"Dataset with id {dataset_id} not found") - - dataset_impl = dataset_info.dataset_impl + dataset_def = self.dataset_infos[dataset_id] + dataset_impl = PandasDataframeDataset(dataset_def) dataset_impl.load() new_rows_df = pandas.DataFrame(rows) - new_rows_df = dataset_impl._validate_dataset_schema(new_rows_df) dataset_impl.df = pandas.concat([dataset_impl.df, new_rows_df], ignore_index=True) - - url = str(dataset_info.dataset_def.url.uri) - parsed_url = urlparse(url) - - if parsed_url.scheme == "file" or not parsed_url.scheme: - file_path = parsed_url.path - os.makedirs(os.path.dirname(file_path), exist_ok=True) - dataset_impl.df.to_csv(file_path, index=False) - elif parsed_url.scheme == "data": - # For data URLs, we need to update the base64-encoded content - if not parsed_url.path.startswith("text/csv;base64,"): - raise ValueError("Data URL must be a base64-encoded CSV") - - csv_buffer = dataset_impl.df.to_csv(index=False) - base64_content = base64.b64encode(csv_buffer.encode("utf-8")).decode("utf-8") - dataset_info.dataset_def.url = URL(uri=f"data:text/csv;base64,{base64_content}") - else: - raise ValueError( - f"Unsupported URL scheme: {parsed_url.scheme}. Only file:// and data: URLs are supported for writing." - ) diff --git a/llama_stack/providers/remote/datasetio/huggingface/huggingface.py b/llama_stack/providers/remote/datasetio/huggingface/huggingface.py index d59edda30..41ce747f7 100644 --- a/llama_stack/providers/remote/datasetio/huggingface/huggingface.py +++ b/llama_stack/providers/remote/datasetio/huggingface/huggingface.py @@ -4,13 +4,13 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. from typing import Any, Dict, List, Optional +from urllib.parse import parse_qs, urlparse import datasets as hf_datasets from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse from llama_stack.apis.datasets import Dataset from llama_stack.providers.datatypes import DatasetsProtocolPrivate -from llama_stack.providers.utils.datasetio.url_utils import get_dataframe_from_url from llama_stack.providers.utils.kvstore import kvstore_impl from .config import HuggingfaceDatasetIOConfig @@ -18,22 +18,14 @@ from .config import HuggingfaceDatasetIOConfig DATASETS_PREFIX = "datasets:" -def load_hf_dataset(dataset_def: Dataset): - if dataset_def.metadata.get("path", None): - dataset = hf_datasets.load_dataset(**dataset_def.metadata) - else: - df = get_dataframe_from_url(dataset_def.url) +def parse_hf_params(dataset_def: Dataset): + uri = dataset_def.source.uri + parsed_uri = urlparse(uri) + params = parse_qs(parsed_uri.query) + params = {k: v[0] for k, v in params.items()} + path = parsed_uri.path.lstrip("/") - if df is None: - raise ValueError(f"Failed to load dataset from {dataset_def.url}") - - dataset = hf_datasets.Dataset.from_pandas(df) - - # drop columns not specified by schema - if dataset_def.dataset_schema: - dataset = dataset.select_columns(list(dataset_def.dataset_schema.keys())) - - return dataset + return path, params class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): @@ -64,7 +56,7 @@ class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): key = f"{DATASETS_PREFIX}{dataset_def.identifier}" await self.kvstore.set( key=key, - value=dataset_def.json(), + value=dataset_def.model_dump_json(), ) self.dataset_infos[dataset_def.identifier] = dataset_def @@ -80,7 +72,8 @@ class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): limit: Optional[int] = None, ) -> IterrowsResponse: dataset_def = self.dataset_infos[dataset_id] - loaded_dataset = load_hf_dataset(dataset_def) + path, params = parse_hf_params(dataset_def) + loaded_dataset = hf_datasets.load_dataset(path, **params) start_index = start_index or 0 @@ -98,7 +91,8 @@ class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate): async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: dataset_def = self.dataset_infos[dataset_id] - loaded_dataset = load_hf_dataset(dataset_def) + path, params = parse_hf_params(dataset_def) + loaded_dataset = hf_datasets.load_dataset(path, **params) # Convert rows to HF Dataset format new_dataset = hf_datasets.Dataset.from_list(rows) diff --git a/llama_stack/providers/utils/datasetio/url_utils.py b/llama_stack/providers/utils/datasetio/url_utils.py index f54cb55eb..6a544ea49 100644 --- a/llama_stack/providers/utils/datasetio/url_utils.py +++ b/llama_stack/providers/utils/datasetio/url_utils.py @@ -10,18 +10,17 @@ from urllib.parse import unquote import pandas -from llama_stack.apis.common.content_types import URL from llama_stack.providers.utils.memory.vector_store import parse_data_url -def get_dataframe_from_url(url: URL): +def get_dataframe_from_uri(uri: str): df = None - if url.uri.endswith(".csv"): - df = pandas.read_csv(url.uri) - elif url.uri.endswith(".xlsx"): - df = pandas.read_excel(url.uri) - elif url.uri.startswith("data:"): - parts = parse_data_url(url.uri) + if uri.endswith(".csv"): + df = pandas.read_csv(uri) + elif uri.endswith(".xlsx"): + df = pandas.read_excel(uri) + elif uri.startswith("data:"): + parts = parse_data_url(uri) data = parts["data"] if parts["is_base64"]: data = base64.b64decode(data) @@ -39,6 +38,6 @@ def get_dataframe_from_url(url: URL): else: df = pandas.read_excel(data_bytes) else: - raise ValueError(f"Unsupported file type: {url}") + raise ValueError(f"Unsupported file type: {uri}") return df diff --git a/tests/integration/datasetio/test_datasetio.py b/tests/integration/datasetio/test_datasetio.py deleted file mode 100644 index 459589e7b..000000000 --- a/tests/integration/datasetio/test_datasetio.py +++ /dev/null @@ -1,114 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -import base64 -import mimetypes -import os -from pathlib import Path - -import pytest - -# How to run this test: -# -# LLAMA_STACK_CONFIG="template-name" pytest -v tests/integration/datasetio - - -@pytest.fixture -def dataset_for_test(llama_stack_client): - dataset_id = "test_dataset" - register_dataset(llama_stack_client, dataset_id=dataset_id) - yield - # Teardown - this always runs, even if the test fails - try: - llama_stack_client.datasets.unregister(dataset_id) - except Exception as e: - print(f"Warning: Failed to unregister test_dataset: {e}") - - -def data_url_from_file(file_path: str) -> str: - if not os.path.exists(file_path): - raise FileNotFoundError(f"File not found: {file_path}") - - with open(file_path, "rb") as file: - file_content = file.read() - - base64_content = base64.b64encode(file_content).decode("utf-8") - mime_type, _ = mimetypes.guess_type(file_path) - - data_url = f"data:{mime_type};base64,{base64_content}" - - return data_url - - -def register_dataset(llama_stack_client, for_generation=False, for_rag=False, dataset_id="test_dataset"): - if for_rag: - test_file = Path(os.path.abspath(__file__)).parent / "test_rag_dataset.csv" - else: - test_file = Path(os.path.abspath(__file__)).parent / "test_dataset.csv" - test_url = data_url_from_file(str(test_file)) - - if for_generation: - dataset_schema = { - "expected_answer": {"type": "string"}, - "input_query": {"type": "string"}, - "chat_completion_input": {"type": "chat_completion_input"}, - } - elif for_rag: - dataset_schema = { - "expected_answer": {"type": "string"}, - "input_query": {"type": "string"}, - "generated_answer": {"type": "string"}, - "context": {"type": "string"}, - } - else: - dataset_schema = { - "expected_answer": {"type": "string"}, - "input_query": {"type": "string"}, - "generated_answer": {"type": "string"}, - } - - dataset_providers = [x for x in llama_stack_client.providers.list() if x.api == "datasetio"] - dataset_provider_id = dataset_providers[0].provider_id - - llama_stack_client.datasets.register( - dataset_id=dataset_id, - dataset_schema=dataset_schema, - url=dict(uri=test_url), - provider_id=dataset_provider_id, - ) - - -def test_register_unregister_dataset(llama_stack_client): - register_dataset(llama_stack_client) - response = llama_stack_client.datasets.list() - assert isinstance(response, list) - assert len(response) == 1 - assert response[0].identifier == "test_dataset" - - llama_stack_client.datasets.unregister("test_dataset") - response = llama_stack_client.datasets.list() - assert isinstance(response, list) - assert len(response) == 0 - - -def test_get_rows_paginated(llama_stack_client, dataset_for_test): - response = llama_stack_client.datasetio.get_rows_paginated( - dataset_id="test_dataset", - rows_in_page=3, - ) - assert isinstance(response.rows, list) - assert len(response.rows) == 3 - assert response.next_page_token == "3" - - # iterate over all rows - response = llama_stack_client.datasetio.get_rows_paginated( - dataset_id="test_dataset", - rows_in_page=2, - page_token=response.next_page_token, - ) - assert isinstance(response.rows, list) - assert len(response.rows) == 2 - assert response.next_page_token == "5" diff --git a/tests/integration/datasetio/__init__.py b/tests/integration/datasets/__init__.py similarity index 100% rename from tests/integration/datasetio/__init__.py rename to tests/integration/datasets/__init__.py diff --git a/tests/integration/datasetio/test_dataset.csv b/tests/integration/datasets/test_dataset.csv similarity index 100% rename from tests/integration/datasetio/test_dataset.csv rename to tests/integration/datasets/test_dataset.csv diff --git a/tests/integration/datasets/test_datasets.py b/tests/integration/datasets/test_datasets.py new file mode 100644 index 000000000..60db95f30 --- /dev/null +++ b/tests/integration/datasets/test_datasets.py @@ -0,0 +1,95 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + + +import base64 +import mimetypes +import os + +import pytest + +# How to run this test: +# +# LLAMA_STACK_CONFIG="template-name" pytest -v tests/integration/datasets + + +def data_url_from_file(file_path: str) -> str: + if not os.path.exists(file_path): + raise FileNotFoundError(f"File not found: {file_path}") + + with open(file_path, "rb") as file: + file_content = file.read() + + base64_content = base64.b64encode(file_content).decode("utf-8") + mime_type, _ = mimetypes.guess_type(file_path) + + data_url = f"data:{mime_type};base64,{base64_content}" + + return data_url + + +@pytest.mark.parametrize( + "purpose, source, provider_id, limit", + [ + ( + "eval/messages-answer", + { + "type": "uri", + "uri": "huggingface://datasets/llamastack/simpleqa?split=train", + }, + "huggingface", + 10, + ), + ( + "eval/messages-answer", + { + "type": "rows", + "rows": [ + { + "messages": [{"role": "user", "content": "Hello, world!"}], + "answer": "Hello, world!", + }, + { + "messages": [ + { + "role": "user", + "content": "What is the capital of France?", + } + ], + "answer": "Paris", + }, + ], + }, + "localfs", + 2, + ), + ( + "eval/messages-answer", + { + "type": "uri", + "uri": data_url_from_file(os.path.join(os.path.dirname(__file__), "test_dataset.csv")), + }, + "localfs", + 5, + ), + ], +) +def test_register_and_iterrows(llama_stack_client, purpose, source, provider_id, limit): + dataset = llama_stack_client.datasets.register( + purpose=purpose, + source=source, + ) + assert dataset.identifier is not None + assert dataset.provider_id == provider_id + iterrow_response = llama_stack_client.datasets.iterrows(dataset.identifier, limit=limit) + assert len(iterrow_response.data) == limit + + dataset_list = llama_stack_client.datasets.list() + assert dataset.identifier in [d.identifier for d in dataset_list] + + llama_stack_client.datasets.unregister(dataset.identifier) + dataset_list = llama_stack_client.datasets.list() + assert dataset.identifier not in [d.identifier for d in dataset_list] diff --git a/tests/integration/datasetio/test_rag_dataset.csv b/tests/integration/datasets/test_rag_dataset.csv similarity index 100% rename from tests/integration/datasetio/test_rag_dataset.csv rename to tests/integration/datasets/test_rag_dataset.csv From 6f5df08ebf034c726b6f37b6ac4cb370f91134fd Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 16:50:43 -0700 Subject: [PATCH 28/73] fix hf url endpoint --- llama_stack/templates/open-benchmark/open_benchmark.py | 10 +++++----- llama_stack/templates/open-benchmark/run.yaml | 10 +++++----- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/llama_stack/templates/open-benchmark/open_benchmark.py b/llama_stack/templates/open-benchmark/open_benchmark.py index 09ea972fa..b339e8c80 100644 --- a/llama_stack/templates/open-benchmark/open_benchmark.py +++ b/llama_stack/templates/open-benchmark/open_benchmark.py @@ -173,7 +173,7 @@ def get_distribution_template() -> DistributionTemplate: provider_id="huggingface", purpose=DatasetPurpose.eval_messages_answer, source=URIDataSource( - uri="huggingface://llamastack/simpleqa?split=train", + uri="huggingface://datasets/llamastack/simpleqa?split=train", ), ), DatasetInput( @@ -181,7 +181,7 @@ def get_distribution_template() -> DistributionTemplate: provider_id="huggingface", purpose=DatasetPurpose.eval_messages_answer, source=URIDataSource( - uri="huggingface://llamastack/mmlu_cot?split=test&name=all", + uri="huggingface://datasets/llamastack/mmlu_cot?split=test&name=all", ), ), DatasetInput( @@ -189,7 +189,7 @@ def get_distribution_template() -> DistributionTemplate: provider_id="huggingface", purpose=DatasetPurpose.eval_messages_answer, source=URIDataSource( - uri="huggingface://llamastack/gpqa_0shot_cot?split=test&name=gpqa_main", + uri="huggingface://datasets/llamastack/gpqa_0shot_cot?split=test&name=gpqa_main", ), ), DatasetInput( @@ -197,7 +197,7 @@ def get_distribution_template() -> DistributionTemplate: provider_id="huggingface", purpose=DatasetPurpose.eval_messages_answer, source=URIDataSource( - uri="huggingface://llamastack/math_500?split=test", + uri="huggingface://datasets/llamastack/math_500?split=test", ), ), DatasetInput( @@ -205,7 +205,7 @@ def get_distribution_template() -> DistributionTemplate: provider_id="huggingface", purpose=DatasetPurpose.eval_messages_answer, source=URIDataSource( - uri="huggingface://llamastack/bfcl_v3?split=train", + uri="huggingface://datasets/llamastack/bfcl_v3?split=train", ), ), ] diff --git a/llama_stack/templates/open-benchmark/run.yaml b/llama_stack/templates/open-benchmark/run.yaml index 3af70d565..93f437273 100644 --- a/llama_stack/templates/open-benchmark/run.yaml +++ b/llama_stack/templates/open-benchmark/run.yaml @@ -161,35 +161,35 @@ datasets: - purpose: eval/messages-answer source: type: uri - uri: huggingface://llamastack/simpleqa?split=train + uri: huggingface://datasets/llamastack/simpleqa?split=train metadata: {} dataset_id: simpleqa provider_id: huggingface - purpose: eval/messages-answer source: type: uri - uri: huggingface://llamastack/mmlu_cot?split=test&name=all + uri: huggingface://datasets/llamastack/mmlu_cot?split=test&name=all metadata: {} dataset_id: mmlu_cot provider_id: huggingface - purpose: eval/messages-answer source: type: uri - uri: huggingface://llamastack/gpqa_0shot_cot?split=test&name=gpqa_main + uri: huggingface://datasets/llamastack/gpqa_0shot_cot?split=test&name=gpqa_main metadata: {} dataset_id: gpqa_cot provider_id: huggingface - purpose: eval/messages-answer source: type: uri - uri: huggingface://llamastack/math_500?split=test + uri: huggingface://datasets/llamastack/math_500?split=test metadata: {} dataset_id: math_500 provider_id: huggingface - purpose: eval/messages-answer source: type: uri - uri: huggingface://llamastack/bfcl_v3?split=train + uri: huggingface://datasets/llamastack/bfcl_v3?split=train metadata: {} dataset_id: bfcl provider_id: huggingface From 28b8c1c815f80a6057fac6a57f3fe2a9a774c9ab Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 17:06:53 -0700 Subject: [PATCH 29/73] scoring fix --- tests/integration/scoring/test_scoring.py | 97 ++++++++--------------- 1 file changed, 33 insertions(+), 64 deletions(-) diff --git a/tests/integration/scoring/test_scoring.py b/tests/integration/scoring/test_scoring.py index 970a96f40..78a322d20 100644 --- a/tests/integration/scoring/test_scoring.py +++ b/tests/integration/scoring/test_scoring.py @@ -5,23 +5,13 @@ # the root directory of this source tree. +import os +from pathlib import Path + +import pandas as pd + import pytest -from ..datasetio.test_datasetio import register_dataset - - -@pytest.fixture -def rag_dataset_for_test(llama_stack_client): - dataset_id = "test_dataset" - register_dataset(llama_stack_client, for_rag=True, dataset_id=dataset_id) - yield # This is where the test function will run - - # Teardown - this always runs, even if the test fails - try: - llama_stack_client.datasets.unregister(dataset_id) - except Exception as e: - print(f"Warning: Failed to unregister test_dataset: {e}") - @pytest.fixture def sample_judge_prompt_template(): @@ -92,49 +82,34 @@ def test_scoring_functions_register( # TODO: add unregister api for scoring functions -def test_scoring_score(llama_stack_client, rag_dataset_for_test): +@pytest.mark.parametrize("scoring_fn_id", ["basic::equality"]) +def test_scoring_score(llama_stack_client, scoring_fn_id): # scoring individual rows - rows = llama_stack_client.datasetio.get_rows_paginated( - dataset_id="test_dataset", - rows_in_page=3, - ) - assert len(rows.rows) == 3 + df = pd.read_csv(Path(__file__).parent.parent / "datasets" / "test_dataset.csv") + rows = df.to_dict(orient="records") - scoring_fns_list = llama_stack_client.scoring_functions.list() scoring_functions = { - scoring_fns_list[0].identifier: None, + scoring_fn_id: None, } response = llama_stack_client.scoring.score( - input_rows=rows.rows, + input_rows=rows, scoring_functions=scoring_functions, ) assert len(response.results) == len(scoring_functions) for x in scoring_functions: assert x in response.results - assert len(response.results[x].score_rows) == len(rows.rows) - - # score batch - response = llama_stack_client.scoring.score_batch( - dataset_id="test_dataset", - scoring_functions=scoring_functions, - save_results_dataset=False, - ) - assert len(response.results) == len(scoring_functions) - for x in scoring_functions: - assert x in response.results - assert len(response.results[x].score_rows) == 5 + assert len(response.results[x].score_rows) == len(rows) def test_scoring_score_with_params_llm_as_judge( - llama_stack_client, sample_judge_prompt_template, judge_model_id, rag_dataset_for_test + llama_stack_client, + sample_judge_prompt_template, + judge_model_id, ): # scoring individual rows - rows = llama_stack_client.datasetio.get_rows_paginated( - dataset_id="test_dataset", - rows_in_page=3, - ) - assert len(rows.rows) == 3 + df = pd.read_csv(Path(__file__).parent.parent / "datasets" / "test_dataset.csv") + rows = df.to_dict(orient="records") scoring_functions = { "llm-as-judge::base": dict( @@ -149,24 +124,13 @@ def test_scoring_score_with_params_llm_as_judge( } response = llama_stack_client.scoring.score( - input_rows=rows.rows, + input_rows=rows, scoring_functions=scoring_functions, ) assert len(response.results) == len(scoring_functions) for x in scoring_functions: assert x in response.results - assert len(response.results[x].score_rows) == len(rows.rows) - - # score batch - response = llama_stack_client.scoring.score_batch( - dataset_id="test_dataset", - scoring_functions=scoring_functions, - save_results_dataset=False, - ) - assert len(response.results) == len(scoring_functions) - for x in scoring_functions: - assert x in response.results - assert len(response.results[x].score_rows) == 5 + assert len(response.results[x].score_rows) == len(rows) @pytest.mark.parametrize( @@ -178,15 +142,20 @@ def test_scoring_score_with_params_llm_as_judge( ], ) def test_scoring_score_with_aggregation_functions( - llama_stack_client, sample_judge_prompt_template, judge_model_id, provider_id, rag_dataset_for_test + llama_stack_client, + sample_judge_prompt_template, + judge_model_id, + provider_id, + rag_dataset_for_test, ): - rows = llama_stack_client.datasetio.get_rows_paginated( - dataset_id="test_dataset", - rows_in_page=3, - ) - assert len(rows.rows) == 3 + df = pd.read_csv(Path(__file__).parent.parent / "datasets" / "test_dataset.csv") + rows = df.to_dict(orient="records") - scoring_fns_list = [x for x in llama_stack_client.scoring_functions.list() if x.provider_id == provider_id] + scoring_fns_list = [ + x + for x in llama_stack_client.scoring_functions.list() + if x.provider_id == provider_id + ] if len(scoring_fns_list) == 0: pytest.skip(f"No scoring functions found for provider {provider_id}, skipping") @@ -224,12 +193,12 @@ def test_scoring_score_with_aggregation_functions( scoring_functions[scoring_fn.identifier] = None response = llama_stack_client.scoring.score( - input_rows=rows.rows, + input_rows=rows, scoring_functions=scoring_functions, ) assert len(response.results) == len(scoring_functions) for x in scoring_functions: assert x in response.results - assert len(response.results[x].score_rows) == len(rows.rows) + assert len(response.results[x].score_rows) == len(rows) assert len(response.results[x].aggregated_results) == len(aggr_fns) From f2d93324e9ae886cdb9022ad3866a67d2876e4c6 Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 17:08:32 -0700 Subject: [PATCH 30/73] pre --- tests/integration/scoring/test_scoring.py | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/tests/integration/scoring/test_scoring.py b/tests/integration/scoring/test_scoring.py index 78a322d20..315ff050c 100644 --- a/tests/integration/scoring/test_scoring.py +++ b/tests/integration/scoring/test_scoring.py @@ -5,11 +5,9 @@ # the root directory of this source tree. -import os from pathlib import Path import pandas as pd - import pytest @@ -151,11 +149,7 @@ def test_scoring_score_with_aggregation_functions( df = pd.read_csv(Path(__file__).parent.parent / "datasets" / "test_dataset.csv") rows = df.to_dict(orient="records") - scoring_fns_list = [ - x - for x in llama_stack_client.scoring_functions.list() - if x.provider_id == provider_id - ] + scoring_fns_list = [x for x in llama_stack_client.scoring_functions.list() if x.provider_id == provider_id] if len(scoring_fns_list) == 0: pytest.skip(f"No scoring functions found for provider {provider_id}, skipping") From a6fa3aa5a28ba139d554ab3aacf7ce15054db98c Mon Sep 17 00:00:00 2001 From: Xi Yan Date: Sat, 15 Mar 2025 17:24:16 -0700 Subject: [PATCH 31/73] feat(dataset api): (1.6/n) fix all iterrows callsites (#1660) # What does this PR do? - as title [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan CI ``` pytest -v -s --nbval-lax ./docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb ``` image [//]: # (## Documentation) --- .../Alpha_Llama_Stack_Post_Training.ipynb | 2178 ++++++++--------- .../Llama_Stack_Benchmark_Evals.ipynb | 352 ++- .../references/evals_reference/index.md | 24 +- .../ui/page/evaluations/native_eval.py | 7 +- .../inline/eval/meta_reference/eval.py | 4 +- .../recipes/lora_finetuning_single_device.py | 4 +- .../providers/inline/scoring/basic/scoring.py | 4 +- .../inline/scoring/braintrust/braintrust.py | 4 +- .../inline/scoring/llm_as_judge/scoring.py | 4 +- tests/integration/eval/test_eval.py | 8 +- 10 files changed, 1370 insertions(+), 1219 deletions(-) diff --git a/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb b/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb index 1cea5d0ef..b7d769b51 100644 --- a/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb +++ b/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb @@ -2,6 +2,9 @@ "cells": [ { "cell_type": "markdown", + "metadata": { + "id": "OJUobWDRvkig" + }, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb)\n", "\n", @@ -21,13 +24,13 @@ "- You need to spin up an ollama server on local host (will provider step by step instruction on this)\n", "\n", "> **Note**: Llama Stack post training APIs are in alpha release stage and still under heavy development\n" - ], - "metadata": { - "id": "OJUobWDRvkig" - } + ] }, { "cell_type": "markdown", + "metadata": { + "id": "Auh-mBgFxXY-" + }, "source": [ "# 0. Bootstrapping Llama Stack Library\n", "In order to run post training on the Llama models, you will need to use a post training providers. Currently, the post training APIs are powered by **torchtune** as provider.\n", @@ -45,10 +48,7 @@ "\n", "You can choose from the list of [scoring providers](https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/inline/scoring) and scoring functions that fulfill your need.\n", "\n" - ], - "metadata": { - "id": "Auh-mBgFxXY-" - } + ] }, { "cell_type": "code", @@ -57,14 +57,14 @@ "colab": { "base_uri": "https://localhost:8080/" }, + "collapsed": true, "id": "-omdQDXakmK5", - "outputId": "0c1ce7f5-9b9b-49c6-dc4f-47b196d2b2e1", - "collapsed": true + "outputId": "0c1ce7f5-9b9b-49c6-dc4f-47b196d2b2e1" }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Collecting git+https://github.com/meta-llama/llama-stack.git\n", " Cloning https://github.com/meta-llama/llama-stack.git (to revision hf_format_checkpointer) to /tmp/pip-req-build-j_1bxqzm\n", @@ -88,14 +88,14 @@ "colab": { "base_uri": "https://localhost:8080/" }, + "collapsed": true, "id": "2UEqw2nM-S61", - "outputId": "0cf7855c-a12b-4225-c930-0e882463ec01", - "collapsed": true + "outputId": "0cf7855c-a12b-4225-c930-0e882463ec01" }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Installing dependencies in system Python environment\n", "\u001b[2mUsing Python 3.11.11 environment at: /usr\u001b[0m\n", @@ -2869,23 +2869,20 @@ }, { "cell_type": "markdown", + "metadata": { + "id": "Of1Hd4JrnVjG" + }, "source": [ "#### 0.1. spin up ollama server\n", "\n", "We need to spin up an [ollama](https://github.com/ollama/ollama) server on local host to run the inference and eval\n", "\n", "First we install xterm so that we can run command line tools" - ], - "metadata": { - "id": "Of1Hd4JrnVjG" - } + ] }, { "cell_type": "code", - "source": [ - "!pip install uv colab-xterm\n", - "%load_ext colabxterm" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -2894,11 +2891,10 @@ "id": "4Fh9_nyRnbEO", "outputId": "44d03406-63bb-4b4b-b513-a2381a859bf4" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Collecting uv\n", " Downloading uv-0.6.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n", @@ -2914,13 +2910,15 @@ "Successfully installed colab-xterm-0.2.0 uv-0.6.3\n" ] } + ], + "source": [ + "!pip install uv colab-xterm\n", + "%load_ext colabxterm" ] }, { "cell_type": "code", - "source": [ - "!curl https://ollama.ai/install.sh | sh" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -2929,11 +2927,10 @@ "id": "ItLVjPBwnd3W", "outputId": "5e2f3455-862d-45e3-8588-a998277c18e9" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ " % Total % Received % Xferd Average Speed Time Time Time Current\n", " Dload Upload Total Spent Left Speed\n", @@ -2951,10 +2948,16 @@ ">>> Install complete. Run \"ollama\" from the command line.\n" ] } + ], + "source": [ + "!curl https://ollama.ai/install.sh | sh" ] }, { "cell_type": "markdown", + "metadata": { + "id": "tYaAsuvLnzwh" + }, "source": [ "Next, run xterm to run ollama as an independent process that stays alive. We choose Llama3.2 3B Instruct model for our tax preparation task, so we need to run llama3.2 3b instruct model on ollama\n", "\n", @@ -2963,25 +2966,18 @@ "ollama serve &\n", "ollama run llama3.2:3b --keepalive 120m\n", "```" - ], - "metadata": { - "id": "tYaAsuvLnzwh" - } + ] }, { "cell_type": "code", - "source": [ - "%xterm\n", - "\n", - "# ollama serve &\n", - "# ollama run llama3.2:3b --keepalive 120m" - ], + "execution_count": null, "metadata": { "colab": { + "base_uri": "https://localhost:8080/", + "height": 839, "resources": { "https://localhost:10000/": { "data": "PCFkb2N0eXBlIGh0bWw+PGh0bWw+PGhlYWQ+PG1ldGEgY2hhcnNldD0idXRmLTgiLz48c2NyaXB0IGRlZmVyPSJkZWZlciIgc3JjPSJtYWluLmpzIj48L3NjcmlwdD48L2hlYWQ+PGJvZHk+PGRpdiBpZD0idGVybWluYWwiPjwvZGl2PjwvYm9keT48L2h0bWw+", - "ok": true, "headers": [ [ "content-length", @@ -2992,12 +2988,60 @@ "text/html; charset=UTF-8" ] ], + "ok": true, + "status": 200, + "status_text": "" + }, + "https://localhost:10000/in/DQ==": { + "data": "", + "headers": [ + [ + "content-length", + "0" + ], + [ + "content-type", + "text/html; charset=UTF-8" + ] + ], + "ok": true, + "status": 200, + "status_text": "" + }, + "https://localhost:10000/in/G1syMDB+b2xsYW1hIHJ1biBsbGFtYTMuMjozYiAtLWtlZXBhbGl2ZSAxMjBtG1syMDF+": { + "data": "", + "headers": [ + [ + "content-length", + "0" + ], + [ + "content-type", + "text/html; charset=UTF-8" + ] + ], + "ok": true, + "status": 200, + "status_text": "" + }, + "https://localhost:10000/in/G1syMDB+b2xsYW1hIHNlcnZlICYbWzIwMX4=": { + "data": "", + "headers": [ + [ + "content-length", + "0" + ], + [ + "content-type", + "text/html; charset=UTF-8" + ] + ], + "ok": true, "status": 200, "status_text": "" }, "https://localhost:10000/main.js": { "data": "/*! 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i=t[r/36%6|0],o=t[r/6%6|0],s=t[r%6];e.push({css:n.channels.toCss(i,o,s),rgba:n.channels.toRgba(i,o,s)})}for(r=0;r<24;r++){var a=8+10*r;e.push({css:n.channels.toCss(a,a,a),rgba:n.channels.toRgba(a,a,a)})}return e}());var h=function(){function e(e,r){this.allowTransparency=r;var i=e.createElement("canvas");i.width=1,i.height=1;var h=i.getContext("2d");if(!h)throw new Error("Could not get rendering context");this._ctx=h,this._ctx.globalCompositeOperation="copy",this._litmusColor=this._ctx.createLinearGradient(0,0,1,1),this._contrastCache=new o.ColorContrastCache,this.colors={foreground:s,background:a,cursor:c,cursorAccent:l,selectionTransparent:u,selectionOpaque:n.color.blend(a,u),ansi:t.DEFAULT_ANSI_COLORS.slice(),contrastCache:this._contrastCache},this._updateRestoreColors()}return e.prototype.onOptionsChange=function(e){"minimumContrastRatio"===e&&this._contrastCache.clear()},e.prototype.setTheme=function(e){void 0===e&&(e={}),this.colors.foreground=this._parseColor(e.foreground,s),this.colors.background=this._parseColor(e.background,a),this.colors.cursor=this._parseColor(e.cursor,c,!0),this.colors.cursorAccent=this._parseColor(e.cursorAccent,l,!0),this.colors.selectionTransparent=this._parseColor(e.selection,u,!0),this.colors.selectionOpaque=n.color.blend(this.colors.background,this.colors.selectionTransparent),n.color.isOpaque(this.colors.selectionTransparent)&&(this.colors.selectionTransparent=n.color.opacity(this.colors.selectionTransparent,.3)),this.colors.ansi[0]=this._parseColor(e.black,t.DEFAULT_ANSI_COLORS[0]),this.colors.ansi[1]=this._parseColor(e.red,t.DEFAULT_ANSI_COLORS[1]),this.colors.ansi[2]=this._parseColor(e.green,t.DEFAULT_ANSI_COLORS[2]),this.colors.ansi[3]=this._parseColor(e.yellow,t.DEFAULT_ANSI_COLORS[3]),this.colors.ansi[4]=this._parseColor(e.blue,t.DEFAULT_ANSI_COLORS[4]),this.colors.ansi[5]=this._parseColor(e.magenta,t.DEFAULT_ANSI_COLORS[5]),this.colors.ansi[6]=this._parseColor(e.cyan,t.DEFAULT_ANSI_COLORS[6]),this.colors.ansi[7]=this._parseColor(e.white,t.DEFAULT_ANSI_COLORS[7]),this.colors.ansi[8]=this._parseColor(e.brightBlack,t.DEFAULT_ANSI_COLORS[8]),this.colors.ansi[9]=this._parseColor(e.brightRed,t.DEFAULT_ANSI_COLORS[9]),this.colors.ansi[10]=this._parseColor(e.brightGreen,t.DEFAULT_ANSI_COLORS[10]),this.colors.ansi[11]=this._parseColor(e.brightYellow,t.DEFAULT_ANSI_COLORS[11]),this.colors.ansi[12]=this._parseColor(e.brightBlue,t.DEFAULT_ANSI_COLORS[12]),this.colors.ansi[13]=this._parseColor(e.brightMagenta,t.DEFAULT_ANSI_COLORS[13]),this.colors.ansi[14]=this._parseColor(e.brightCyan,t.DEFAULT_ANSI_COLORS[14]),this.colors.ansi[15]=this._parseColor(e.brightWhite,t.DEFAULT_ANSI_COLORS[15]),this._contrastCache.clear(),this._updateRestoreColors()},e.prototype.restoreColor=function(e){if(void 0!==e)switch(e){case 256:this.colors.foreground=this._restoreColors.foreground;break;case 257:this.colors.background=this._restoreColors.background;break;case 258:this.colors.cursor=this._restoreColors.cursor;break;default:this.colors.ansi[e]=this._restoreColors.ansi[e]}else for(var t=0;t<this._restoreColors.ansi.length;++t)this.colors.ansi[t]=this._restoreColors.ansi[t]},e.prototype._updateRestoreColors=function(){this._restoreColors={foreground:this.colors.foreground,background:this.colors.background,cursor:this.colors.cursor,ansi:i([],this.colors.ansi,!0)}},e.prototype._parseColor=function(e,t,r){if(void 0===r&&(r=this.allowTransparency),void 0===e)return t;if(this._ctx.fillStyle=this._litmusColor,this._ctx.fillStyle=e,"string"!=typeof this._ctx.fillStyle)return console.warn("Color: "+e+" is invalid using fallback "+t.css),t;this._ctx.fillRect(0,0,1,1);var i=this._ctx.getImageData(0,0,1,1).data;if(255!==i[3]){if(!r)return console.warn("Color: "+e+" is using transparency, but allowTransparency is false. Using fallback "+t.css+"."),t;var o=this._ctx.fillStyle.substring(5,this._ctx.fillStyle.length-1).split(",").map((function(e){return Number(e)})),s=o[0],a=o[1],c=o[2],l=o[3],u=Math.round(255*l);return{rgba:n.channels.toRgba(s,a,c,u),css:e}}return{css:this._ctx.fillStyle,rgba:n.channels.toRgba(i[0],i[1],i[2],i[3])}},e}();t.ColorManager=h},9631:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.removeElementFromParent=void 0,t.removeElementFromParent=function(){for(var e,t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];for(var i=0,n=t;i<n.length;i++){var o=n[i];null===(e=null==o?void 0:o.parentElement)||void 0===e||e.removeChild(o)}}},3656:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.addDisposableDomListener=void 0,t.addDisposableDomListener=function(e,t,r,i){e.addEventListener(t,r,i);var n=!1;return{dispose:function(){n||(n=!0,e.removeEventListener(t,r,i))}}}},3551:function(e,t,r){var i=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},n=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.MouseZone=t.Linkifier=void 0;var o=r(8460),s=r(2585),a=function(){function e(e,t,r){this._bufferService=e,this._logService=t,this._unicodeService=r,this._linkMatchers=[],this._nextLinkMatcherId=0,this._onShowLinkUnderline=new o.EventEmitter,this._onHideLinkUnderline=new o.EventEmitter,this._onLinkTooltip=new o.EventEmitter,this._rowsToLinkify={start:void 0,end:void 0}}return Object.defineProperty(e.prototype,"onShowLinkUnderline",{get:function(){return 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e=this._bufferService.buffer;if(void 0!==this._rowsToLinkify.start&&void 0!==this._rowsToLinkify.end){var t=e.ydisp+this._rowsToLinkify.start;if(!(t>=e.lines.length)){for(var r=e.ydisp+Math.min(this._rowsToLinkify.end,this._bufferService.rows)+1,i=Math.ceil(2e3/this._bufferService.cols),n=this._bufferService.buffer.iterator(!1,t,r,i,i);n.hasNext();)for(var o=n.next(),s=0;s<this._linkMatchers.length;s++)this._doLinkifyRow(o.range.first,o.content,this._linkMatchers[s]);this._rowsToLinkify.start=void 0,this._rowsToLinkify.end=void 0}}else this._logService.debug("_rowToLinkify was unset before _linkifyRows was called")},e.prototype.registerLinkMatcher=function(e,t,r){if(void 0===r&&(r={}),!t)throw new Error("handler must be defined");var i={id:this._nextLinkMatcherId++,regex:e,handler:t,matchIndex:r.matchIndex,validationCallback:r.validationCallback,hoverTooltipCallback:r.tooltipCallback,hoverLeaveCallback:r.leaveCallback,willLinkActivate:r.willLinkActivate,priority:r.priority||0};return this._addLinkMatcherToList(i),i.id},e.prototype._addLinkMatcherToList=function(e){if(0!==this._linkMatchers.length){for(var t=this._linkMatchers.length-1;t>=0;t--)if(e.priority<=this._linkMatchers[t].priority)return void this._linkMatchers.splice(t+1,0,e);this._linkMatchers.splice(0,0,e)}else this._linkMatchers.push(e)},e.prototype.deregisterLinkMatcher=function(e){for(var t=0;t<this._linkMatchers.length;t++)if(this._linkMatchers[t].id===e)return this._linkMatchers.splice(t,1),!0;return!1},e.prototype._doLinkifyRow=function(e,t,r){for(var i,n=this,o=new RegExp(r.regex.source,(r.regex.flags||"")+"g"),s=-1,a=function(){var a=i["number"!=typeof r.matchIndex?0:r.matchIndex];if(!a)return c._logService.debug("match found without corresponding matchIndex",i,r),"break";if(s=t.indexOf(a,s+1),o.lastIndex=s+a.length,s<0)return"break";var l=c._bufferService.buffer.stringIndexToBufferIndex(e,s);if(l[0]<0)return"break";var u=c._bufferService.buffer.lines.get(l[0]);if(!u)return"break";var h=u.getFg(l[1]),f=h?h>>9&511:void 0;r.validationCallback?r.validationCallback(a,(function(e){n._rowsTimeoutId||e&&n._addLink(l[1],l[0]-n._bufferService.buffer.ydisp,a,r,f)})):c._addLink(l[1],l[0]-c._bufferService.buffer.ydisp,a,r,f)},c=this;null!==(i=o.exec(t))&&"break"!==a(););},e.prototype._addLink=function(e,t,r,i,n){var o=this;if(this._mouseZoneManager&&this._element){var s=this._unicodeService.getStringCellWidth(r),a=e%this._bufferService.cols,l=t+Math.floor(e/this._bufferService.cols),u=(a+s)%this._bufferService.cols,h=l+Math.floor((a+s)/this._bufferService.cols);0===u&&(u=this._bufferService.cols,h--),this._mouseZoneManager.add(new c(a+1,l+1,u+1,h+1,(function(e){if(i.handler)return i.handler(e,r);var t=window.open();t?(t.opener=null,t.location.href=r):console.warn("Opening link blocked as opener could not be cleared")}),(function(){o._onShowLinkUnderline.fire(o._createLinkHoverEvent(a,l,u,h,n)),o._element.classList.add("xterm-cursor-pointer")}),(function(e){o._onLinkTooltip.fire(o._createLinkHoverEvent(a,l,u,h,n)),i.hoverTooltipCallback&&i.hoverTooltipCallback(e,r,{start:{x:a,y:l},end:{x:u,y:h}})}),(function(){o._onHideLinkUnderline.fire(o._createLinkHoverEvent(a,l,u,h,n)),o._element.classList.remove("xterm-cursor-pointer"),i.hoverLeaveCallback&&i.hoverLeaveCallback()}),(function(e){return!i.willLinkActivate||i.willLinkActivate(e,r)})))}},e.prototype._createLinkHoverEvent=function(e,t,r,i,n){return{x1:e,y1:t,x2:r,y2:i,cols:this._bufferService.cols,fg:n}},e._timeBeforeLatency=200,e=i([n(0,s.IBufferService),n(1,s.ILogService),n(2,s.IUnicodeService)],e)}();t.Linkifier=a;var c=function(e,t,r,i,n,o,s,a,c){this.x1=e,this.y1=t,this.x2=r,this.y2=i,this.clickCallback=n,this.hoverCallback=o,this.tooltipCallback=s,this.leaveCallback=a,this.willLinkActivate=c};t.MouseZone=c},6465:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),o=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},s=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.Linkifier2=void 0;var a=r(2585),c=r(8460),l=r(844),u=r(3656),h=function(e){function t(t){var r=e.call(this)||this;return r._bufferService=t,r._linkProviders=[],r._linkCacheDisposables=[],r._isMouseOut=!0,r._activeLine=-1,r._onShowLinkUnderline=r.register(new c.EventEmitter),r._onHideLinkUnderline=r.register(new c.EventEmitter),r.register((0,l.getDisposeArrayDisposable)(r._linkCacheDisposables)),r}return n(t,e),Object.defineProperty(t.prototype,"currentLink",{get:function(){return this._currentLink},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onShowLinkUnderline",{get:function(){return this._onShowLinkUnderline.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onHideLinkUnderline",{get:function(){return this._onHideLinkUnderline.event},enumerable:!1,configurable:!0}),t.prototype.registerLinkProvider=function(e){var t=this;return this._linkProviders.push(e),{dispose:function(){var r=t._linkProviders.indexOf(e);-1!==r&&t._linkProviders.splice(r,1)}}},t.prototype.attachToDom=function(e,t,r){var i=this;this._element=e,this._mouseService=t,this._renderService=r,this.register((0,u.addDisposableDomListener)(this._element,"mouseleave",(function(){i._isMouseOut=!0,i._clearCurrentLink()}))),this.register((0,u.addDisposableDomListener)(this._element,"mousemove",this._onMouseMove.bind(this))),this.register((0,u.addDisposableDomListener)(this._element,"click",this._onClick.bind(this)))},t.prototype._onMouseMove=function(e){if(this._lastMouseEvent=e,this._element&&this._mouseService){var t=this._positionFromMouseEvent(e,this._element,this._mouseService);if(t){this._isMouseOut=!1;for(var r=e.composedPath(),i=0;i<r.length;i++){var n=r[i];if(n.classList.contains("xterm"))break;if(n.classList.contains("xterm-hover"))return}this._lastBufferCell&&t.x===this._lastBufferCell.x&&t.y===this._lastBufferCell.y||(this._onHover(t),this._lastBufferCell=t)}}},t.prototype._onHover=function(e){if(this._activeLine!==e.y)return this._clearCurrentLink(),void this._askForLink(e,!1);this._currentLink&&this._linkAtPosition(this._currentLink.link,e)||(this._clearCurrentLink(),this._askForLink(e,!0))},t.prototype._askForLink=function(e,t){var r,i=this;this._activeProviderReplies&&t||(null===(r=this._activeProviderReplies)||void 0===r||r.forEach((function(e){null==e||e.forEach((function(e){e.link.dispose&&e.link.dispose()}))})),this._activeProviderReplies=new Map,this._activeLine=e.y);var n=!1;this._linkProviders.forEach((function(r,o){var s;t?(null===(s=i._activeProviderReplies)||void 0===s?void 0:s.get(o))&&(n=i._checkLinkProviderResult(o,e,n)):r.provideLinks(e.y,(function(t){var r,s;if(!i._isMouseOut){var a=null==t?void 0:t.map((function(e){return{link:e}}));null===(r=i._activeProviderReplies)||void 0===r||r.set(o,a),n=i._checkLinkProviderResult(o,e,n),(null===(s=i._activeProviderReplies)||void 0===s?void 0:s.size)===i._linkProviders.length&&i._removeIntersectingLinks(e.y,i._activeProviderReplies)}}))}))},t.prototype._removeIntersectingLinks=function(e,t){for(var r=new Set,i=0;i<t.size;i++){var n=t.get(i);if(n)for(var o=0;o<n.length;o++)for(var s=n[o],a=s.link.range.start.y<e?0:s.link.range.start.x,c=s.link.range.end.y>e?this._bufferService.cols:s.link.range.end.x,l=a;l<=c;l++){if(r.has(l)){n.splice(o--,1);break}r.add(l)}}},t.prototype._checkLinkProviderResult=function(e,t,r){var i,n=this;if(!this._activeProviderReplies)return r;for(var o=this._activeProviderReplies.get(e),s=!1,a=0;a<e;a++)this._activeProviderReplies.has(a)&&!this._activeProviderReplies.get(a)||(s=!0);if(!s&&o){var c=o.find((function(e){return n._linkAtPosition(e.link,t)}));c&&(r=!0,this._handleNewLink(c))}if(this._activeProviderReplies.size===this._linkProviders.length&&!r)for(a=0;a<this._activeProviderReplies.size;a++){var l=null===(i=this._activeProviderReplies.get(a))||void 0===i?void 0:i.find((function(e){return n._linkAtPosition(e.link,t)}));if(l){r=!0,this._handleNewLink(l);break}}return r},t.prototype._onClick=function(e){if(this._element&&this._mouseService&&this._currentLink){var t=this._positionFromMouseEvent(e,this._element,this._mouseService);t&&this._linkAtPosition(this._currentLink.link,t)&&this._currentLink.link.activate(e,this._currentLink.link.text)}},t.prototype._clearCurrentLink=function(e,t){this._element&&this._currentLink&&this._lastMouseEvent&&(!e||!t||this._currentLink.link.range.start.y>=e&&this._currentLink.link.range.end.y<=t)&&(this._linkLeave(this._element,this._currentLink.link,this._lastMouseEvent),this._currentLink=void 0,(0,l.disposeArray)(this._linkCacheDisposables))},t.prototype._handleNewLink=function(e){var t=this;if(this._element&&this._lastMouseEvent&&this._mouseService){var r=this._positionFromMouseEvent(this._lastMouseEvent,this._element,this._mouseService);r&&this._linkAtPosition(e.link,r)&&(this._currentLink=e,this._currentLink.state={decorations:{underline:void 0===e.link.decorations||e.link.decorations.underline,pointerCursor:void 0===e.link.decorations||e.link.decorations.pointerCursor},isHovered:!0},this._linkHover(this._element,e.link,this._lastMouseEvent),e.link.decorations={},Object.defineProperties(e.link.decorations,{pointerCursor:{get:function(){var e,r;return null===(r=null===(e=t._currentLink)||void 0===e?void 0:e.state)||void 0===r?void 0:r.decorations.pointerCursor},set:function(e){var r,i;(null===(r=t._currentLink)||void 0===r?void 0:r.state)&&t._currentLink.state.decorations.pointerCursor!==e&&(t._currentLink.state.decorations.pointerCursor=e,t._currentLink.state.isHovered&&(null===(i=t._element)||void 0===i||i.classList.toggle("xterm-cursor-pointer",e)))}},underline:{get:function(){var e,r;return null===(r=null===(e=t._currentLink)||void 0===e?void 0:e.state)||void 0===r?void 0:r.decorations.underline},set:function(r){var i,n,o;(null===(i=t._currentLink)||void 0===i?void 0:i.state)&&(null===(o=null===(n=t._currentLink)||void 0===n?void 0:n.state)||void 0===o?void 0:o.decorations.underline)!==r&&(t._currentLink.state.decorations.underline=r,t._currentLink.state.isHovered&&t._fireUnderlineEvent(e.link,r))}}}),this._renderService&&this._linkCacheDisposables.push(this._renderService.onRenderedBufferChange((function(e){var r=0===e.start?0:e.start+1+t._bufferService.buffer.ydisp;t._clearCurrentLink(r,e.end+1+t._bufferService.buffer.ydisp)}))))}},t.prototype._linkHover=function(e,t,r){var i;(null===(i=this._currentLink)||void 0===i?void 0:i.state)&&(this._currentLink.state.isHovered=!0,this._currentLink.state.decorations.underline&&this._fireUnderlineEvent(t,!0),this._currentLink.state.decorations.pointerCursor&&e.classList.add("xterm-cursor-pointer")),t.hover&&t.hover(r,t.text)},t.prototype._fireUnderlineEvent=function(e,t){var r=e.range,i=this._bufferService.buffer.ydisp,n=this._createLinkUnderlineEvent(r.start.x-1,r.start.y-i-1,r.end.x,r.end.y-i-1,void 0);(t?this._onShowLinkUnderline:this._onHideLinkUnderline).fire(n)},t.prototype._linkLeave=function(e,t,r){var i;(null===(i=this._currentLink)||void 0===i?void 0:i.state)&&(this._currentLink.state.isHovered=!1,this._currentLink.state.decorations.underline&&this._fireUnderlineEvent(t,!1),this._currentLink.state.decorations.pointerCursor&&e.classList.remove("xterm-cursor-pointer")),t.leave&&t.leave(r,t.text)},t.prototype._linkAtPosition=function(e,t){var r=e.range.start.y===e.range.end.y,i=e.range.start.y<t.y,n=e.range.end.y>t.y;return(r&&e.range.start.x<=t.x&&e.range.end.x>=t.x||i&&e.range.end.x>=t.x||n&&e.range.start.x<=t.x||i&&n)&&e.range.start.y<=t.y&&e.range.end.y>=t.y},t.prototype._positionFromMouseEvent=function(e,t,r){var i=r.getCoords(e,t,this._bufferService.cols,this._bufferService.rows);if(i)return{x:i[0],y:i[1]+this._bufferService.buffer.ydisp}},t.prototype._createLinkUnderlineEvent=function(e,t,r,i,n){return{x1:e,y1:t,x2:r,y2:i,cols:this._bufferService.cols,fg:n}},o([s(0,a.IBufferService)],t)}(l.Disposable);t.Linkifier2=h},9042:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.tooMuchOutput=t.promptLabel=void 0,t.promptLabel="Terminal input",t.tooMuchOutput="Too much output to announce, navigate to rows manually to read"},6954:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),o=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},s=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.MouseZoneManager=void 0;var a=r(844),c=r(3656),l=r(4725),u=r(2585),h=function(e){function t(t,r,i,n,o,s){var a=e.call(this)||this;return a._element=t,a._screenElement=r,a._bufferService=i,a._mouseService=n,a._selectionService=o,a._optionsService=s,a._zones=[],a._areZonesActive=!1,a._lastHoverCoords=[void 0,void 0],a._initialSelectionLength=0,a.register((0,c.addDisposableDomListener)(a._element,"mousedown",(function(e){return a._onMouseDown(e)}))),a._mouseMoveListener=function(e){return a._onMouseMove(e)},a._mouseLeaveListener=function(e){return a._onMouseLeave(e)},a._clickListener=function(e){return a._onClick(e)},a}return n(t,e),t.prototype.dispose=function(){e.prototype.dispose.call(this),this._deactivate()},t.prototype.add=function(e){this._zones.push(e),1===this._zones.length&&this._activate()},t.prototype.clearAll=function(e,t){if(0!==this._zones.length){e&&t||(e=0,t=this._bufferService.rows-1);for(var r=0;r<this._zones.length;r++){var i=this._zones[r];(i.y1>e&&i.y1<=t+1||i.y2>e&&i.y2<=t+1||i.y1<e&&i.y2>t+1)&&(this._currentZone&&this._currentZone===i&&(this._currentZone.leaveCallback(),this._currentZone=void 0),this._zones.splice(r--,1))}0===this._zones.length&&this._deactivate()}},t.prototype._activate=function(){this._areZonesActive||(this._areZonesActive=!0,this._element.addEventListener("mousemove",this._mouseMoveListener),this._element.addEventListener("mouseleave",this._mouseLeaveListener),this._element.addEventListener("click",this._clickListener))},t.prototype._deactivate=function(){this._areZonesActive&&(this._areZonesActive=!1,this._element.removeEventListener("mousemove",this._mouseMoveListener),this._element.removeEventListener("mouseleave",this._mouseLeaveListener),this._element.removeEventListener("click",this._clickListener))},t.prototype._onMouseMove=function(e){this._lastHoverCoords[0]===e.pageX&&this._lastHoverCoords[1]===e.pageY||(this._onHover(e),this._lastHoverCoords=[e.pageX,e.pageY])},t.prototype._onHover=function(e){var t=this,r=this._findZoneEventAt(e);r!==this._currentZone&&(this._currentZone&&(this._currentZone.leaveCallback(),this._currentZone=void 0,this._tooltipTimeout&&clearTimeout(this._tooltipTimeout)),r&&(this._currentZone=r,r.hoverCallback&&r.hoverCallback(e),this._tooltipTimeout=window.setTimeout((function(){return t._onTooltip(e)}),this._optionsService.options.linkTooltipHoverDuration)))},t.prototype._onTooltip=function(e){this._tooltipTimeout=void 0;var t=this._findZoneEventAt(e);null==t||t.tooltipCallback(e)},t.prototype._onMouseDown=function(e){if(this._initialSelectionLength=this._getSelectionLength(),this._areZonesActive){var t=this._findZoneEventAt(e);(null==t?void 0:t.willLinkActivate(e))&&(e.preventDefault(),e.stopImmediatePropagation())}},t.prototype._onMouseLeave=function(e){this._currentZone&&(this._currentZone.leaveCallback(),this._currentZone=void 0,this._tooltipTimeout&&clearTimeout(this._tooltipTimeout))},t.prototype._onClick=function(e){var t=this._findZoneEventAt(e),r=this._getSelectionLength();t&&r===this._initialSelectionLength&&(t.clickCallback(e),e.preventDefault(),e.stopImmediatePropagation())},t.prototype._getSelectionLength=function(){var e=this._selectionService.selectionText;return e?e.length:0},t.prototype._findZoneEventAt=function(e){var t=this._mouseService.getCoords(e,this._screenElement,this._bufferService.cols,this._bufferService.rows);if(t)for(var r=t[0],i=t[1],n=0;n<this._zones.length;n++){var o=this._zones[n];if(o.y1===o.y2){if(i===o.y1&&r>=o.x1&&r<o.x2)return o}else if(i===o.y1&&r>=o.x1||i===o.y2&&r<o.x2||i>o.y1&&i<o.y2)return o}},o([s(2,u.IBufferService),s(3,l.IMouseService),s(4,l.ISelectionService),s(5,u.IOptionsService)],t)}(a.Disposable);t.MouseZoneManager=h},6193:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.RenderDebouncer=void 0;var r=function(){function e(e){this._renderCallback=e}return e.prototype.dispose=function(){this._animationFrame&&(window.cancelAnimationFrame(this._animationFrame),this._animationFrame=void 0)},e.prototype.refresh=function(e,t,r){var i=this;this._rowCount=r,e=void 0!==e?e:0,t=void 0!==t?t:this._rowCount-1,this._rowStart=void 0!==this._rowStart?Math.min(this._rowStart,e):e,this._rowEnd=void 0!==this._rowEnd?Math.max(this._rowEnd,t):t,this._animationFrame||(this._animationFrame=window.requestAnimationFrame((function(){return i._innerRefresh()})))},e.prototype._innerRefresh=function(){if(void 0!==this._rowStart&&void 0!==this._rowEnd&&void 0!==this._rowCount){var e=Math.max(this._rowStart,0),t=Math.min(this._rowEnd,this._rowCount-1);this._rowStart=void 0,this._rowEnd=void 0,this._animationFrame=void 0,this._renderCallback(e,t)}},e}();t.RenderDebouncer=r},5596:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.ScreenDprMonitor=void 0;var o=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t._currentDevicePixelRatio=window.devicePixelRatio,t}return n(t,e),t.prototype.setListener=function(e){var t=this;this._listener&&this.clearListener(),this._listener=e,this._outerListener=function(){t._listener&&(t._listener(window.devicePixelRatio,t._currentDevicePixelRatio),t._updateDpr())},this._updateDpr()},t.prototype.dispose=function(){e.prototype.dispose.call(this),this.clearListener()},t.prototype._updateDpr=function(){var e;this._outerListener&&(null===(e=this._resolutionMediaMatchList)||void 0===e||e.removeListener(this._outerListener),this._currentDevicePixelRatio=window.devicePixelRatio,this._resolutionMediaMatchList=window.matchMedia("screen and (resolution: "+window.devicePixelRatio+"dppx)"),this._resolutionMediaMatchList.addListener(this._outerListener))},t.prototype.clearListener=function(){this._resolutionMediaMatchList&&this._listener&&this._outerListener&&(this._resolutionMediaMatchList.removeListener(this._outerListener),this._resolutionMediaMatchList=void 0,this._listener=void 0,this._outerListener=void 0)},t}(r(844).Disposable);t.ScreenDprMonitor=o},3236:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.Terminal=void 0;var o=r(2950),s=r(1680),a=r(3614),c=r(2584),l=r(5435),u=r(3525),h=r(3551),f=r(9312),_=r(6114),d=r(3656),p=r(9042),v=r(357),g=r(6954),y=r(4567),m=r(1296),b=r(7399),S=r(8460),C=r(8437),w=r(5680),L=r(3230),E=r(4725),x=r(428),A=r(8934),k=r(6465),M=r(5114),R=r(8969),T=r(4774),O=r(4269),B=r(5941),D="undefined"!=typeof window?window.document:null,P=function(e){function t(t){void 0===t&&(t={});var r=e.call(this,t)||this;return r.browser=_,r._keyDownHandled=!1,r._keyPressHandled=!1,r._unprocessedDeadKey=!1,r._onCursorMove=new S.EventEmitter,r._onKey=new S.EventEmitter,r._onRender=new S.EventEmitter,r._onSelectionChange=new S.EventEmitter,r._onTitleChange=new S.EventEmitter,r._onBell=new S.EventEmitter,r._onFocus=new S.EventEmitter,r._onBlur=new S.EventEmitter,r._onA11yCharEmitter=new S.EventEmitter,r._onA11yTabEmitter=new S.EventEmitter,r._setup(),r.linkifier=r._instantiationService.createInstance(h.Linkifier),r.linkifier2=r.register(r._instantiationService.createInstance(k.Linkifier2)),r.register(r._inputHandler.onRequestBell((function(){return r.bell()}))),r.register(r._inputHandler.onRequestRefreshRows((function(e,t){return r.refresh(e,t)}))),r.register(r._inputHandler.onRequestSendFocus((function(){return r._reportFocus()}))),r.register(r._inputHandler.onRequestReset((function(){return r.reset()}))),r.register(r._inputHandler.onRequestWindowsOptionsReport((function(e){return r._reportWindowsOptions(e)}))),r.register(r._inputHandler.onColor((function(e){return r._handleColorEvent(e)}))),r.register((0,S.forwardEvent)(r._inputHandler.onCursorMove,r._onCursorMove)),r.register((0,S.forwardEvent)(r._inputHandler.onTitleChange,r._onTitleChange)),r.register((0,S.forwardEvent)(r._inputHandler.onA11yChar,r._onA11yCharEmitter)),r.register((0,S.forwardEvent)(r._inputHandler.onA11yTab,r._onA11yTabEmitter)),r.register(r._bufferService.onResize((function(e){return r._afterResize(e.cols,e.rows)}))),r}return n(t,e),Object.defineProperty(t.prototype,"onCursorMove",{get:function(){return this._onCursorMove.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onKey",{get:function(){return this._onKey.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRender",{get:function(){return this._onRender.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onSelectionChange",{get:function(){return this._onSelectionChange.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onTitleChange",{get:function(){return this._onTitleChange.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onBell",{get:function(){return this._onBell.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onFocus",{get:function(){return this._onFocus.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onBlur",{get:function(){return this._onBlur.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yChar",{get:function(){return this._onA11yCharEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yTab",{get:function(){return this._onA11yTabEmitter.event},enumerable:!1,configurable:!0}),t.prototype._handleColorEvent=function(e){var t,r;if(this._colorManager){for(var i=0,n=e;i<n.length;i++){var o=n[i],s=void 0,a="";switch(o.index){case 256:s="foreground",a="10";break;case 257:s="background",a="11";break;case 258:s="cursor",a="12";break;default:s="ansi",a="4;"+o.index}if(s)switch(o.type){case 0:var l=T.color.toColorRGB("ansi"===s?this._colorManager.colors.ansi[o.index]:this._colorManager.colors[s]);this.coreService.triggerDataEvent(c.C0.ESC+"]"+a+";"+(0,B.toRgbString)(l)+c.C0.BEL);break;case 1:"ansi"===s?this._colorManager.colors.ansi[o.index]=T.rgba.toColor.apply(T.rgba,o.color):this._colorManager.colors[s]=T.rgba.toColor.apply(T.rgba,o.color);break;case 2:this._colorManager.restoreColor(o.index)}}null===(t=this._renderService)||void 0===t||t.setColors(this._colorManager.colors),null===(r=this.viewport)||void 0===r||r.onThemeChange(this._colorManager.colors)}},t.prototype.dispose=function(){var t,r,i;this._isDisposed||(e.prototype.dispose.call(this),null===(t=this._renderService)||void 0===t||t.dispose(),this._customKeyEventHandler=void 0,this.write=function(){},null===(i=null===(r=this.element)||void 0===r?void 0:r.parentNode)||void 0===i||i.removeChild(this.element))},t.prototype._setup=function(){e.prototype._setup.call(this),this._customKeyEventHandler=void 0},Object.defineProperty(t.prototype,"buffer",{get:function(){return this.buffers.active},enumerable:!1,configurable:!0}),t.prototype.focus=function(){this.textarea&&this.textarea.focus({preventScroll:!0})},t.prototype._updateOptions=function(t){var r,i,n,o;switch(e.prototype._updateOptions.call(this,t),t){case"fontFamily":case"fontSize":null===(r=this._renderService)||void 0===r||r.clear(),null===(i=this._charSizeService)||void 0===i||i.measure();break;case"cursorBlink":case"cursorStyle":this.refresh(this.buffer.y,this.buffer.y);break;case"customGlyphs":case"drawBoldTextInBrightColors":case"letterSpacing":case"lineHeight":case"fontWeight":case"fontWeightBold":case"minimumContrastRatio":this._renderService&&(this._renderService.clear(),this._renderService.onResize(this.cols,this.rows),this.refresh(0,this.rows-1));break;case"rendererType":this._renderService&&(this._renderService.setRenderer(this._createRenderer()),this._renderService.onResize(this.cols,this.rows));break;case"scrollback":null===(n=this.viewport)||void 0===n||n.syncScrollArea();break;case"screenReaderMode":this.optionsService.options.screenReaderMode?!this._accessibilityManager&&this._renderService&&(this._accessibilityManager=new y.AccessibilityManager(this,this._renderService)):(null===(o=this._accessibilityManager)||void 0===o||o.dispose(),this._accessibilityManager=void 0);break;case"tabStopWidth":this.buffers.setupTabStops();break;case"theme":this._setTheme(this.optionsService.options.theme)}},t.prototype._onTextAreaFocus=function(e){this.coreService.decPrivateModes.sendFocus&&this.coreService.triggerDataEvent(c.C0.ESC+"[I"),this.updateCursorStyle(e),this.element.classList.add("focus"),this._showCursor(),this._onFocus.fire()},t.prototype.blur=function(){var e;return null===(e=this.textarea)||void 0===e?void 0:e.blur()},t.prototype._onTextAreaBlur=function(){this.textarea.value="",this.refresh(this.buffer.y,this.buffer.y),this.coreService.decPrivateModes.sendFocus&&this.coreService.triggerDataEvent(c.C0.ESC+"[O"),this.element.classList.remove("focus"),this._onBlur.fire()},t.prototype._syncTextArea=function(){if(this.textarea&&this.buffer.isCursorInViewport&&!this._compositionHelper.isComposing&&this._renderService){var e=this.buffer.ybase+this.buffer.y,t=this.buffer.lines.get(e);if(t){var r=Math.min(this.buffer.x,this.cols-1),i=this._renderService.dimensions.actualCellHeight,n=t.getWidth(r),o=this._renderService.dimensions.actualCellWidth*n,s=this.buffer.y*this._renderService.dimensions.actualCellHeight,a=r*this._renderService.dimensions.actualCellWidth;this.textarea.style.left=a+"px",this.textarea.style.top=s+"px",this.textarea.style.width=o+"px",this.textarea.style.height=i+"px",this.textarea.style.lineHeight=i+"px",this.textarea.style.zIndex="-5"}}},t.prototype._initGlobal=function(){var e=this;this._bindKeys(),this.register((0,d.addDisposableDomListener)(this.element,"copy",(function(t){e.hasSelection()&&(0,a.copyHandler)(t,e._selectionService)})));var t=function(t){return(0,a.handlePasteEvent)(t,e.textarea,e.coreService)};this.register((0,d.addDisposableDomListener)(this.textarea,"paste",t)),this.register((0,d.addDisposableDomListener)(this.element,"paste",t)),_.isFirefox?this.register((0,d.addDisposableDomListener)(this.element,"mousedown",(function(t){2===t.button&&(0,a.rightClickHandler)(t,e.textarea,e.screenElement,e._selectionService,e.options.rightClickSelectsWord)}))):this.register((0,d.addDisposableDomListener)(this.element,"contextmenu",(function(t){(0,a.rightClickHandler)(t,e.textarea,e.screenElement,e._selectionService,e.options.rightClickSelectsWord)}))),_.isLinux&&this.register((0,d.addDisposableDomListener)(this.element,"auxclick",(function(t){1===t.button&&(0,a.moveTextAreaUnderMouseCursor)(t,e.textarea,e.screenElement)})))},t.prototype._bindKeys=function(){var e=this;this.register((0,d.addDisposableDomListener)(this.textarea,"keyup",(function(t){return e._keyUp(t)}),!0)),this.register((0,d.addDisposableDomListener)(this.textarea,"keydown",(function(t){return e._keyDown(t)}),!0)),this.register((0,d.addDisposableDomListener)(this.textarea,"keypress",(function(t){return e._keyPress(t)}),!0)),this.register((0,d.addDisposableDomListener)(this.textarea,"compositionstart",(function(){return e._compositionHelper.compositionstart()}))),this.register((0,d.addDisposableDomListener)(this.textarea,"compositionupdate",(function(t){return e._compositionHelper.compositionupdate(t)}))),this.register((0,d.addDisposableDomListener)(this.textarea,"compositionend",(function(){return e._compositionHelper.compositionend()}))),this.register((0,d.addDisposableDomListener)(this.textarea,"input",(function(t){return e._inputEvent(t)}),!0)),this.register(this.onRender((function(){return e._compositionHelper.updateCompositionElements()}))),this.register(this.onRender((function(t){return e._queueLinkification(t.start,t.end)})))},t.prototype.open=function(e){var t=this;if(!e)throw new Error("Terminal requires a parent element.");e.isConnected||this._logService.debug("Terminal.open was called on an element that was not attached to the DOM"),this._document=e.ownerDocument,this.element=this._document.createElement("div"),this.element.dir="ltr",this.element.classList.add("terminal"),this.element.classList.add("xterm"),this.element.setAttribute("tabindex","0"),e.appendChild(this.element);var r=D.createDocumentFragment();this._viewportElement=D.createElement("div"),this._viewportElement.classList.add("xterm-viewport"),r.appendChild(this._viewportElement),this._viewportScrollArea=D.createElement("div"),this._viewportScrollArea.classList.add("xterm-scroll-area"),this._viewportElement.appendChild(this._viewportScrollArea),this.screenElement=D.createElement("div"),this.screenElement.classList.add("xterm-screen"),this._helperContainer=D.createElement("div"),this._helperContainer.classList.add("xterm-helpers"),this.screenElement.appendChild(this._helperContainer),r.appendChild(this.screenElement),this.textarea=D.createElement("textarea"),this.textarea.classList.add("xterm-helper-textarea"),this.textarea.setAttribute("aria-label",p.promptLabel),this.textarea.setAttribute("aria-multiline","false"),this.textarea.setAttribute("autocorrect","off"),this.textarea.setAttribute("autocapitalize","off"),this.textarea.setAttribute("spellcheck","false"),this.textarea.tabIndex=0,this.register((0,d.addDisposableDomListener)(this.textarea,"focus",(function(e){return t._onTextAreaFocus(e)}))),this.register((0,d.addDisposableDomListener)(this.textarea,"blur",(function(){return t._onTextAreaBlur()}))),this._helperContainer.appendChild(this.textarea);var i=this._instantiationService.createInstance(M.CoreBrowserService,this.textarea);this._instantiationService.setService(E.ICoreBrowserService,i),this._charSizeService=this._instantiationService.createInstance(x.CharSizeService,this._document,this._helperContainer),this._instantiationService.setService(E.ICharSizeService,this._charSizeService),this._theme=this.options.theme||this._theme,this._colorManager=new w.ColorManager(D,this.options.allowTransparency),this.register(this.optionsService.onOptionChange((function(e){return t._colorManager.onOptionsChange(e)}))),this._colorManager.setTheme(this._theme),this._characterJoinerService=this._instantiationService.createInstance(O.CharacterJoinerService),this._instantiationService.setService(E.ICharacterJoinerService,this._characterJoinerService);var n=this._createRenderer();this._renderService=this.register(this._instantiationService.createInstance(L.RenderService,n,this.rows,this.screenElement)),this._instantiationService.setService(E.IRenderService,this._renderService),this.register(this._renderService.onRenderedBufferChange((function(e){return t._onRender.fire(e)}))),this.onResize((function(e){return t._renderService.resize(e.cols,e.rows)})),this._compositionView=D.createElement("div"),this._compositionView.classList.add("composition-view"),this._compositionHelper=this._instantiationService.createInstance(o.CompositionHelper,this.textarea,this._compositionView),this._helperContainer.appendChild(this._compositionView),this.element.appendChild(r),this._soundService=this._instantiationService.createInstance(v.SoundService),this._instantiationService.setService(E.ISoundService,this._soundService),this._mouseService=this._instantiationService.createInstance(A.MouseService),this._instantiationService.setService(E.IMouseService,this._mouseService),this.viewport=this._instantiationService.createInstance(s.Viewport,(function(e){return t.scrollLines(e,!0,1)}),this._viewportElement,this._viewportScrollArea,this.element),this.viewport.onThemeChange(this._colorManager.colors),this.register(this._inputHandler.onRequestSyncScrollBar((function(){return t.viewport.syncScrollArea()}))),this.register(this.viewport),this.register(this.onCursorMove((function(){t._renderService.onCursorMove(),t._syncTextArea()}))),this.register(this.onResize((function(){return t._renderService.onResize(t.cols,t.rows)}))),this.register(this.onBlur((function(){return t._renderService.onBlur()}))),this.register(this.onFocus((function(){return t._renderService.onFocus()}))),this.register(this._renderService.onDimensionsChange((function(){return t.viewport.syncScrollArea()}))),this._selectionService=this.register(this._instantiationService.createInstance(f.SelectionService,this.element,this.screenElement,this.linkifier2)),this._instantiationService.setService(E.ISelectionService,this._selectionService),this.register(this._selectionService.onRequestScrollLines((function(e){return t.scrollLines(e.amount,e.suppressScrollEvent)}))),this.register(this._selectionService.onSelectionChange((function(){return t._onSelectionChange.fire()}))),this.register(this._selectionService.onRequestRedraw((function(e){return t._renderService.onSelectionChanged(e.start,e.end,e.columnSelectMode)}))),this.register(this._selectionService.onLinuxMouseSelection((function(e){t.textarea.value=e,t.textarea.focus(),t.textarea.select()}))),this.register(this._onScroll.event((function(e){t.viewport.syncScrollArea(),t._selectionService.refresh()}))),this.register((0,d.addDisposableDomListener)(this._viewportElement,"scroll",(function(){return t._selectionService.refresh()}))),this._mouseZoneManager=this._instantiationService.createInstance(g.MouseZoneManager,this.element,this.screenElement),this.register(this._mouseZoneManager),this.register(this.onScroll((function(){return t._mouseZoneManager.clearAll()}))),this.linkifier.attachToDom(this.element,this._mouseZoneManager),this.linkifier2.attachToDom(this.screenElement,this._mouseService,this._renderService),this.register((0,d.addDisposableDomListener)(this.element,"mousedown",(function(e){return t._selectionService.onMouseDown(e)}))),this.coreMouseService.areMouseEventsActive?(this._selectionService.disable(),this.element.classList.add("enable-mouse-events")):this._selectionService.enable(),this.options.screenReaderMode&&(this._accessibilityManager=new y.AccessibilityManager(this,this._renderService)),this._charSizeService.measure(),this.refresh(0,this.rows-1),this._initGlobal(),this.bindMouse()},t.prototype._createRenderer=function(){switch(this.options.rendererType){case"canvas":return this._instantiationService.createInstance(u.Renderer,this._colorManager.colors,this.screenElement,this.linkifier,this.linkifier2);case"dom":return this._instantiationService.createInstance(m.DomRenderer,this._colorManager.colors,this.element,this.screenElement,this._viewportElement,this.linkifier,this.linkifier2);default:throw new Error('Unrecognized rendererType "'+this.options.rendererType+'"')}},t.prototype._setTheme=function(e){var t,r,i;this._theme=e,null===(t=this._colorManager)||void 0===t||t.setTheme(e),null===(r=this._renderService)||void 0===r||r.setColors(this._colorManager.colors),null===(i=this.viewport)||void 0===i||i.onThemeChange(this._colorManager.colors)},t.prototype.bindMouse=function(){var e=this,t=this,r=this.element;function i(e){var r,i,n=t._mouseService.getRawByteCoords(e,t.screenElement,t.cols,t.rows);if(!n)return!1;switch(e.overrideType||e.type){case"mousemove":i=32,void 0===e.buttons?(r=3,void 0!==e.button&&(r=e.button<3?e.button:3)):r=1&e.buttons?0:4&e.buttons?1:2&e.buttons?2:3;break;case"mouseup":i=0,r=e.button<3?e.button:3;break;case"mousedown":i=1,r=e.button<3?e.button:3;break;case"wheel":0!==e.deltaY&&(i=e.deltaY<0?0:1),r=4;break;default:return!1}return!(void 0===i||void 0===r||r>4)&&t.coreMouseService.triggerMouseEvent({col:n.x-33,row:n.y-33,button:r,action:i,ctrl:e.ctrlKey,alt:e.altKey,shift:e.shiftKey})}var n={mouseup:null,wheel:null,mousedrag:null,mousemove:null},o=function(t){return i(t),t.buttons||(e._document.removeEventListener("mouseup",n.mouseup),n.mousedrag&&e._document.removeEventListener("mousemove",n.mousedrag)),e.cancel(t)},s=function(t){return i(t),e.cancel(t,!0)},a=function(e){e.buttons&&i(e)},l=function(e){e.buttons||i(e)};this.register(this.coreMouseService.onProtocolChange((function(t){t?("debug"===e.optionsService.options.logLevel&&e._logService.debug("Binding to mouse events:",e.coreMouseService.explainEvents(t)),e.element.classList.add("enable-mouse-events"),e._selectionService.disable()):(e._logService.debug("Unbinding from mouse events."),e.element.classList.remove("enable-mouse-events"),e._selectionService.enable()),8&t?n.mousemove||(r.addEventListener("mousemove",l),n.mousemove=l):(r.removeEventListener("mousemove",n.mousemove),n.mousemove=null),16&t?n.wheel||(r.addEventListener("wheel",s,{passive:!1}),n.wheel=s):(r.removeEventListener("wheel",n.wheel),n.wheel=null),2&t?n.mouseup||(n.mouseup=o):(e._document.removeEventListener("mouseup",n.mouseup),n.mouseup=null),4&t?n.mousedrag||(n.mousedrag=a):(e._document.removeEventListener("mousemove",n.mousedrag),n.mousedrag=null)}))),this.coreMouseService.activeProtocol=this.coreMouseService.activeProtocol,this.register((0,d.addDisposableDomListener)(r,"mousedown",(function(t){if(t.preventDefault(),e.focus(),e.coreMouseService.areMouseEventsActive&&!e._selectionService.shouldForceSelection(t))return i(t),n.mouseup&&e._document.addEventListener("mouseup",n.mouseup),n.mousedrag&&e._document.addEventListener("mousemove",n.mousedrag),e.cancel(t)}))),this.register((0,d.addDisposableDomListener)(r,"wheel",(function(t){if(!n.wheel){if(!e.buffer.hasScrollback){var r=e.viewport.getLinesScrolled(t);if(0===r)return;for(var i=c.C0.ESC+(e.coreService.decPrivateModes.applicationCursorKeys?"O":"[")+(t.deltaY<0?"A":"B"),o="",s=0;s<Math.abs(r);s++)o+=i;return e.coreService.triggerDataEvent(o,!0),e.cancel(t,!0)}return e.viewport.onWheel(t)?e.cancel(t):void 0}}),{passive:!1})),this.register((0,d.addDisposableDomListener)(r,"touchstart",(function(t){if(!e.coreMouseService.areMouseEventsActive)return e.viewport.onTouchStart(t),e.cancel(t)}),{passive:!0})),this.register((0,d.addDisposableDomListener)(r,"touchmove",(function(t){if(!e.coreMouseService.areMouseEventsActive)return e.viewport.onTouchMove(t)?void 0:e.cancel(t)}),{passive:!1}))},t.prototype.refresh=function(e,t){var r;null===(r=this._renderService)||void 0===r||r.refreshRows(e,t)},t.prototype._queueLinkification=function(e,t){var r;null===(r=this.linkifier)||void 0===r||r.linkifyRows(e,t)},t.prototype.updateCursorStyle=function(e){var t;(null===(t=this._selectionService)||void 0===t?void 0:t.shouldColumnSelect(e))?this.element.classList.add("column-select"):this.element.classList.remove("column-select")},t.prototype._showCursor=function(){this.coreService.isCursorInitialized||(this.coreService.isCursorInitialized=!0,this.refresh(this.buffer.y,this.buffer.y))},t.prototype.scrollLines=function(t,r,i){void 0===i&&(i=0),e.prototype.scrollLines.call(this,t,r,i),this.refresh(0,this.rows-1)},t.prototype.paste=function(e){(0,a.paste)(e,this.textarea,this.coreService)},t.prototype.attachCustomKeyEventHandler=function(e){this._customKeyEventHandler=e},t.prototype.registerLinkMatcher=function(e,t,r){var i=this.linkifier.registerLinkMatcher(e,t,r);return this.refresh(0,this.rows-1),i},t.prototype.deregisterLinkMatcher=function(e){this.linkifier.deregisterLinkMatcher(e)&&this.refresh(0,this.rows-1)},t.prototype.registerLinkProvider=function(e){return this.linkifier2.registerLinkProvider(e)},t.prototype.registerCharacterJoiner=function(e){if(!this._characterJoinerService)throw new Error("Terminal must be opened first");var t=this._characterJoinerService.register(e);return this.refresh(0,this.rows-1),t},t.prototype.deregisterCharacterJoiner=function(e){if(!this._characterJoinerService)throw new Error("Terminal must be opened first");this._characterJoinerService.deregister(e)&&this.refresh(0,this.rows-1)},Object.defineProperty(t.prototype,"markers",{get:function(){return this.buffer.markers},enumerable:!1,configurable:!0}),t.prototype.addMarker=function(e){if(this.buffer===this.buffers.normal)return this.buffer.addMarker(this.buffer.ybase+this.buffer.y+e)},t.prototype.hasSelection=function(){return!!this._selectionService&&this._selectionService.hasSelection},t.prototype.select=function(e,t,r){this._selectionService.setSelection(e,t,r)},t.prototype.getSelection=function(){return this._selectionService?this._selectionService.selectionText:""},t.prototype.getSelectionPosition=function(){if(this._selectionService&&this._selectionService.hasSelection)return{startColumn:this._selectionService.selectionStart[0],startRow:this._selectionService.selectionStart[1],endColumn:this._selectionService.selectionEnd[0],endRow:this._selectionService.selectionEnd[1]}},t.prototype.clearSelection=function(){var e;null===(e=this._selectionService)||void 0===e||e.clearSelection()},t.prototype.selectAll=function(){var e;null===(e=this._selectionService)||void 0===e||e.selectAll()},t.prototype.selectLines=function(e,t){var r;null===(r=this._selectionService)||void 0===r||r.selectLines(e,t)},t.prototype._keyDown=function(e){if(this._keyDownHandled=!1,this._customKeyEventHandler&&!1===this._customKeyEventHandler(e))return!1;if(!this._compositionHelper.keydown(e))return this.buffer.ybase!==this.buffer.ydisp&&this._bufferService.scrollToBottom(),!1;"Dead"!==e.key&&"AltGraph"!==e.key||(this._unprocessedDeadKey=!0);var t=(0,b.evaluateKeyboardEvent)(e,this.coreService.decPrivateModes.applicationCursorKeys,this.browser.isMac,this.options.macOptionIsMeta);if(this.updateCursorStyle(e),3===t.type||2===t.type){var r=this.rows-1;return this.scrollLines(2===t.type?-r:r),this.cancel(e,!0)}return 1===t.type&&this.selectAll(),!!this._isThirdLevelShift(this.browser,e)||(t.cancel&&this.cancel(e,!0),!t.key||(this._unprocessedDeadKey?(this._unprocessedDeadKey=!1,!0):(t.key!==c.C0.ETX&&t.key!==c.C0.CR||(this.textarea.value=""),this._onKey.fire({key:t.key,domEvent:e}),this._showCursor(),this.coreService.triggerDataEvent(t.key,!0),this.optionsService.options.screenReaderMode?void(this._keyDownHandled=!0):this.cancel(e,!0))))},t.prototype._isThirdLevelShift=function(e,t){var r=e.isMac&&!this.options.macOptionIsMeta&&t.altKey&&!t.ctrlKey&&!t.metaKey||e.isWindows&&t.altKey&&t.ctrlKey&&!t.metaKey||e.isWindows&&t.getModifierState("AltGraph");return"keypress"===t.type?r:r&&(!t.keyCode||t.keyCode>47)},t.prototype._keyUp=function(e){this._customKeyEventHandler&&!1===this._customKeyEventHandler(e)||(function(e){return 16===e.keyCode||17===e.keyCode||18===e.keyCode}(e)||this.focus(),this.updateCursorStyle(e),this._keyPressHandled=!1)},t.prototype._keyPress=function(e){var t;if(this._keyPressHandled=!1,this._keyDownHandled)return!1;if(this._customKeyEventHandler&&!1===this._customKeyEventHandler(e))return!1;if(this.cancel(e),e.charCode)t=e.charCode;else if(null===e.which||void 0===e.which)t=e.keyCode;else{if(0===e.which||0===e.charCode)return!1;t=e.which}return!(!t||(e.altKey||e.ctrlKey||e.metaKey)&&!this._isThirdLevelShift(this.browser,e)||(t=String.fromCharCode(t),this._onKey.fire({key:t,domEvent:e}),this._showCursor(),this.coreService.triggerDataEvent(t,!0),this._keyPressHandled=!0,this._unprocessedDeadKey=!1,0))},t.prototype._inputEvent=function(e){if(e.data&&"insertText"===e.inputType&&!e.composed&&!this.optionsService.options.screenReaderMode){if(this._keyPressHandled)return!1;this._unprocessedDeadKey=!1;var t=e.data;return this.coreService.triggerDataEvent(t,!0),this.cancel(e),!0}return!1},t.prototype.bell=function(){var e;this._soundBell()&&(null===(e=this._soundService)||void 0===e||e.playBellSound()),this._onBell.fire()},t.prototype.resize=function(t,r){t!==this.cols||r!==this.rows?e.prototype.resize.call(this,t,r):this._charSizeService&&!this._charSizeService.hasValidSize&&this._charSizeService.measure()},t.prototype._afterResize=function(e,t){var r,i;null===(r=this._charSizeService)||void 0===r||r.measure(),null===(i=this.viewport)||void 0===i||i.syncScrollArea(!0)},t.prototype.clear=function(){if(0!==this.buffer.ybase||0!==this.buffer.y){this.buffer.lines.set(0,this.buffer.lines.get(this.buffer.ybase+this.buffer.y)),this.buffer.lines.length=1,this.buffer.ydisp=0,this.buffer.ybase=0,this.buffer.y=0;for(var e=1;e<this.rows;e++)this.buffer.lines.push(this.buffer.getBlankLine(C.DEFAULT_ATTR_DATA));this.refresh(0,this.rows-1),this._onScroll.fire({position:this.buffer.ydisp,source:0})}},t.prototype.reset=function(){var t,r;this.options.rows=this.rows,this.options.cols=this.cols;var i=this._customKeyEventHandler;this._setup(),e.prototype.reset.call(this),null===(t=this._selectionService)||void 0===t||t.reset(),this._customKeyEventHandler=i,this.refresh(0,this.rows-1),null===(r=this.viewport)||void 0===r||r.syncScrollArea()},t.prototype.clearTextureAtlas=function(){var e;null===(e=this._renderService)||void 0===e||e.clearTextureAtlas()},t.prototype._reportFocus=function(){var e;(null===(e=this.element)||void 0===e?void 0:e.classList.contains("focus"))?this.coreService.triggerDataEvent(c.C0.ESC+"[I"):this.coreService.triggerDataEvent(c.C0.ESC+"[O")},t.prototype._reportWindowsOptions=function(e){if(this._renderService)switch(e){case l.WindowsOptionsReportType.GET_WIN_SIZE_PIXELS:var t=this._renderService.dimensions.scaledCanvasWidth.toFixed(0),r=this._renderService.dimensions.scaledCanvasHeight.toFixed(0);this.coreService.triggerDataEvent(c.C0.ESC+"[4;"+r+";"+t+"t");break;case l.WindowsOptionsReportType.GET_CELL_SIZE_PIXELS:var i=this._renderService.dimensions.scaledCellWidth.toFixed(0),n=this._renderService.dimensions.scaledCellHeight.toFixed(0);this.coreService.triggerDataEvent(c.C0.ESC+"[6;"+n+";"+i+"t")}},t.prototype.cancel=function(e,t){if(this.options.cancelEvents||t)return e.preventDefault(),e.stopPropagation(),!1},t.prototype._visualBell=function(){return!1},t.prototype._soundBell=function(){return"sound"===this.options.bellStyle},t}(R.CoreTerminal);t.Terminal=P},9924:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.TimeBasedDebouncer=void 0;var r=function(){function e(e,t){void 0===t&&(t=1e3),this._renderCallback=e,this._debounceThresholdMS=t,this._lastRefreshMs=0,this._additionalRefreshRequested=!1}return e.prototype.dispose=function(){this._refreshTimeoutID&&clearTimeout(this._refreshTimeoutID)},e.prototype.refresh=function(e,t,r){var i=this;this._rowCount=r,e=void 0!==e?e:0,t=void 0!==t?t:this._rowCount-1,this._rowStart=void 0!==this._rowStart?Math.min(this._rowStart,e):e,this._rowEnd=void 0!==this._rowEnd?Math.max(this._rowEnd,t):t;var n=Date.now();if(n-this._lastRefreshMs>=this._debounceThresholdMS)this._lastRefreshMs=n,this._innerRefresh();else if(!this._additionalRefreshRequested){var o=n-this._lastRefreshMs,s=this._debounceThresholdMS-o;this._additionalRefreshRequested=!0,this._refreshTimeoutID=window.setTimeout((function(){i._lastRefreshMs=Date.now(),i._innerRefresh(),i._additionalRefreshRequested=!1,i._refreshTimeoutID=void 0}),s)}},e.prototype._innerRefresh=function(){if(void 0!==this._rowStart&&void 0!==this._rowEnd&&void 0!==this._rowCount){var e=Math.max(this._rowStart,0),t=Math.min(this._rowEnd,this._rowCount-1);this._rowStart=void 0,this._rowEnd=void 0,this._renderCallback(e,t)}},e}();t.TimeBasedDebouncer=r},1680:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),o=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},s=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.Viewport=void 0;var a=r(844),c=r(3656),l=r(4725),u=r(2585),h=function(e){function t(t,r,i,n,o,s,a,l){var u=e.call(this)||this;return u._scrollLines=t,u._viewportElement=r,u._scrollArea=i,u._element=n,u._bufferService=o,u._optionsService=s,u._charSizeService=a,u._renderService=l,u.scrollBarWidth=0,u._currentRowHeight=0,u._currentScaledCellHeight=0,u._lastRecordedBufferLength=0,u._lastRecordedViewportHeight=0,u._lastRecordedBufferHeight=0,u._lastTouchY=0,u._lastScrollTop=0,u._lastHadScrollBar=!1,u._wheelPartialScroll=0,u._refreshAnimationFrame=null,u._ignoreNextScrollEvent=!1,u.scrollBarWidth=u._viewportElement.offsetWidth-u._scrollArea.offsetWidth||15,u._lastHadScrollBar=!0,u.register((0,c.addDisposableDomListener)(u._viewportElement,"scroll",u._onScroll.bind(u))),u._activeBuffer=u._bufferService.buffer,u.register(u._bufferService.buffers.onBufferActivate((function(e){return u._activeBuffer=e.activeBuffer}))),u._renderDimensions=u._renderService.dimensions,u.register(u._renderService.onDimensionsChange((function(e){return u._renderDimensions=e}))),setTimeout((function(){return u.syncScrollArea()}),0),u}return n(t,e),t.prototype.onThemeChange=function(e){this._viewportElement.style.backgroundColor=e.background.css},t.prototype._refresh=function(e){var t=this;if(e)return this._innerRefresh(),void(null!==this._refreshAnimationFrame&&cancelAnimationFrame(this._refreshAnimationFrame));null===this._refreshAnimationFrame&&(this._refreshAnimationFrame=requestAnimationFrame((function(){return t._innerRefresh()})))},t.prototype._innerRefresh=function(){if(this._charSizeService.height>0){this._currentRowHeight=this._renderService.dimensions.scaledCellHeight/window.devicePixelRatio,this._currentScaledCellHeight=this._renderService.dimensions.scaledCellHeight,this._lastRecordedViewportHeight=this._viewportElement.offsetHeight;var e=Math.round(this._currentRowHeight*this._lastRecordedBufferLength)+(this._lastRecordedViewportHeight-this._renderService.dimensions.canvasHeight);this._lastRecordedBufferHeight!==e&&(this._lastRecordedBufferHeight=e,this._scrollArea.style.height=this._lastRecordedBufferHeight+"px")}var t=this._bufferService.buffer.ydisp*this._currentRowHeight;this._viewportElement.scrollTop!==t&&(this._ignoreNextScrollEvent=!0,this._viewportElement.scrollTop=t),0===this._optionsService.options.scrollback?this.scrollBarWidth=0:this.scrollBarWidth=this._viewportElement.offsetWidth-this._scrollArea.offsetWidth||15,this._lastHadScrollBar=this.scrollBarWidth>0;var r=window.getComputedStyle(this._element),i=parseInt(r.paddingLeft)+parseInt(r.paddingRight);this._viewportElement.style.width=(this._renderService.dimensions.actualCellWidth*this._bufferService.cols+this.scrollBarWidth+(this._lastHadScrollBar?i:0)).toString()+"px",this._refreshAnimationFrame=null},t.prototype.syncScrollArea=function(e){if(void 0===e&&(e=!1),this._lastRecordedBufferLength!==this._bufferService.buffer.lines.length)return this._lastRecordedBufferLength=this._bufferService.buffer.lines.length,void this._refresh(e);this._lastRecordedViewportHeight===this._renderService.dimensions.canvasHeight&&this._lastScrollTop===this._activeBuffer.ydisp*this._currentRowHeight&&this._renderDimensions.scaledCellHeight===this._currentScaledCellHeight?this._lastHadScrollBar!==this._optionsService.options.scrollback>0&&this._refresh(e):this._refresh(e)},t.prototype._onScroll=function(e){if(this._lastScrollTop=this._viewportElement.scrollTop,this._viewportElement.offsetParent){if(this._ignoreNextScrollEvent)return this._ignoreNextScrollEvent=!1,void this._scrollLines(0);var t=Math.round(this._lastScrollTop/this._currentRowHeight)-this._bufferService.buffer.ydisp;this._scrollLines(t)}},t.prototype._bubbleScroll=function(e,t){var r=this._viewportElement.scrollTop+this._lastRecordedViewportHeight;return!(t<0&&0!==this._viewportElement.scrollTop||t>0&&r<this._lastRecordedBufferHeight)||(e.cancelable&&e.preventDefault(),!1)},t.prototype.onWheel=function(e){var t=this._getPixelsScrolled(e);return 0!==t&&(this._viewportElement.scrollTop+=t,this._bubbleScroll(e,t))},t.prototype._getPixelsScrolled=function(e){if(0===e.deltaY||e.shiftKey)return 0;var t=this._applyScrollModifier(e.deltaY,e);return e.deltaMode===WheelEvent.DOM_DELTA_LINE?t*=this._currentRowHeight:e.deltaMode===WheelEvent.DOM_DELTA_PAGE&&(t*=this._currentRowHeight*this._bufferService.rows),t},t.prototype.getLinesScrolled=function(e){if(0===e.deltaY||e.shiftKey)return 0;var t=this._applyScrollModifier(e.deltaY,e);return e.deltaMode===WheelEvent.DOM_DELTA_PIXEL?(t/=this._currentRowHeight+0,this._wheelPartialScroll+=t,t=Math.floor(Math.abs(this._wheelPartialScroll))*(this._wheelPartialScroll>0?1:-1),this._wheelPartialScroll%=1):e.deltaMode===WheelEvent.DOM_DELTA_PAGE&&(t*=this._bufferService.rows),t},t.prototype._applyScrollModifier=function(e,t){var r=this._optionsService.options.fastScrollModifier;return"alt"===r&&t.altKey||"ctrl"===r&&t.ctrlKey||"shift"===r&&t.shiftKey?e*this._optionsService.options.fastScrollSensitivity*this._optionsService.options.scrollSensitivity:e*this._optionsService.options.scrollSensitivity},t.prototype.onTouchStart=function(e){this._lastTouchY=e.touches[0].pageY},t.prototype.onTouchMove=function(e){var t=this._lastTouchY-e.touches[0].pageY;return 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i=!1;!1!==this._optionsService.options.customGlyphs&&(i=(0,u.tryDrawCustomChar)(this._ctx,e.getChars(),t*this._scaledCellWidth,r*this._scaledCellHeight,this._scaledCellWidth,this._scaledCellHeight)),i||this._ctx.fillText(e.getChars(),t*this._scaledCellWidth+this._scaledCharLeft,r*this._scaledCellHeight+this._scaledCharTop+this._scaledCharHeight)},e.prototype._drawChars=function(e,t,r){var o,s,a,c=this._getContrastColor(e);c||e.isFgRGB()||e.isBgRGB()?this._drawUncachedChars(e,t,r,c):(e.isInverse()?(s=e.isBgDefault()?n.INVERTED_DEFAULT_COLOR:e.getBgColor(),a=e.isFgDefault()?n.INVERTED_DEFAULT_COLOR:e.getFgColor()):(a=e.isBgDefault()?i.DEFAULT_COLOR:e.getBgColor(),s=e.isFgDefault()?i.DEFAULT_COLOR:e.getFgColor()),s+=this._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&s<8?8:0,this._currentGlyphIdentifier.chars=e.getChars()||i.WHITESPACE_CELL_CHAR,this._currentGlyphIdentifier.code=e.getCode()||i.WHITESPACE_CELL_CODE,this._currentGlyphIdentifier.bg=a,this._currentGlyphIdentifier.fg=s,this._currentGlyphIdentifier.bold=!!e.isBold(),this._currentGlyphIdentifier.dim=!!e.isDim(),this._currentGlyphIdentifier.italic=!!e.isItalic(),(null===(o=this._charAtlas)||void 0===o?void 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a=e.getFgColor();this._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&a<8&&(a+=8),this._ctx.fillStyle=this._colors.ansi[a].css}this._clipRow(r),e.isDim()&&(this._ctx.globalAlpha=n.DIM_OPACITY);var l=!1;!1!==this._optionsService.options.customGlyphs&&(l=(0,u.tryDrawCustomChar)(this._ctx,e.getChars(),t*this._scaledCellWidth,r*this._scaledCellHeight,this._scaledCellWidth,this._scaledCellHeight)),l||this._ctx.fillText(e.getChars(),t*this._scaledCellWidth+this._scaledCharLeft,r*this._scaledCellHeight+this._scaledCharTop+this._scaledCharHeight),this._ctx.restore()},e.prototype._clipRow=function(e){this._ctx.beginPath(),this._ctx.rect(0,e*this._scaledCellHeight,this._bufferService.cols*this._scaledCellWidth,this._scaledCellHeight),this._ctx.clip()},e.prototype._getFont=function(e,t){return(t?"italic":"")+" "+(e?this._optionsService.options.fontWeightBold:this._optionsService.options.fontWeight)+" "+this._optionsService.options.fontSize*window.devicePixelRatio+"px 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n(t,e),t.prototype.dispose=function(){this._cursorBlinkStateManager&&(this._cursorBlinkStateManager.dispose(),this._cursorBlinkStateManager=void 0),e.prototype.dispose.call(this)},t.prototype.resize=function(t){e.prototype.resize.call(this,t),this._state={x:0,y:0,isFocused:!1,style:"",width:0}},t.prototype.reset=function(){var e;this._clearCursor(),null===(e=this._cursorBlinkStateManager)||void 0===e||e.restartBlinkAnimation(),this.onOptionsChanged()},t.prototype.onBlur=function(){var e;null===(e=this._cursorBlinkStateManager)||void 0===e||e.pause(),this._onRequestRedraw.fire({start:this._bufferService.buffer.y,end:this._bufferService.buffer.y})},t.prototype.onFocus=function(){var e;null===(e=this._cursorBlinkStateManager)||void 0===e||e.resume(),this._onRequestRedraw.fire({start:this._bufferService.buffer.y,end:this._bufferService.buffer.y})},t.prototype.onOptionsChanged=function(){var 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e=0,t=this._renderLayers;e<t.length;e++)t[e].clearTextureAtlas()},t.prototype._updateDimensions=function(){this._charSizeService.hasValidSize&&(this.dimensions.scaledCharWidth=Math.floor(this._charSizeService.width*window.devicePixelRatio),this.dimensions.scaledCharHeight=Math.ceil(this._charSizeService.height*window.devicePixelRatio),this.dimensions.scaledCellHeight=Math.floor(this.dimensions.scaledCharHeight*this._optionsService.options.lineHeight),this.dimensions.scaledCharTop=1===this._optionsService.options.lineHeight?0:Math.round((this.dimensions.scaledCellHeight-this.dimensions.scaledCharHeight)/2),this.dimensions.scaledCellWidth=this.dimensions.scaledCharWidth+Math.round(this._optionsService.options.letterSpacing),this.dimensions.scaledCharLeft=Math.floor(this._optionsService.options.letterSpacing/2),this.dimensions.scaledCanvasHeight=this._bufferService.rows*this.dimensions.scaledCellHeight,this.dimensions.scaledCanvasWidth=this._bufferService.cols*this.dimensions.scaledCellWidth,this.dimensions.canvasHeight=Math.round(this.dimensions.scaledCanvasHeight/window.devicePixelRatio),this.dimensions.canvasWidth=Math.round(this.dimensions.scaledCanvasWidth/window.devicePixelRatio),this.dimensions.actualCellHeight=this.dimensions.canvasHeight/this._bufferService.rows,this.dimensions.actualCellWidth=this.dimensions.canvasWidth/this._bufferService.cols)},o([s(4,_.IInstantiationService),s(5,_.IBufferService),s(6,f.ICharSizeService),s(7,_.IOptionsService)],t)}(h.Disposable);t.Renderer=g},1752:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.throwIfFalsy=void 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u=e.call(this,t,"text",r,n,i,o,s,c)||this;return u._characterJoinerService=l,u._characterWidth=0,u._characterFont="",u._characterOverlapCache={},u._workCell=new h.CellData,u._state=new a.GridCache,u}return n(t,e),t.prototype.resize=function(t){e.prototype.resize.call(this,t);var r=this._getFont(!1,!1);this._characterWidth===t.scaledCharWidth&&this._characterFont===r||(this._characterWidth=t.scaledCharWidth,this._characterFont=r,this._characterOverlapCache={}),this._state.clear(),this._state.resize(this._bufferService.cols,this._bufferService.rows)},t.prototype.reset=function(){this._state.clear(),this._clearAll()},t.prototype._forEachCell=function(e,t,r){for(var i=e;i<=t;i++)for(var n=i+this._bufferService.buffer.ydisp,o=this._bufferService.buffer.lines.get(n),s=this._characterJoinerService.getJoinedCharacters(n),a=0;a<this._bufferService.cols;a++){o.loadCell(a,this._workCell);var c=this._workCell,l=!1,h=a;if(0!==c.getWidth()){if(s.length>0&&a===s[0][0]){l=!0;var f=s.shift();c=new 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r=this;this._forEachCell(e,t,(function(e,t,i){if(!e.isInvisible()&&(r._drawChars(e,t,i),e.isUnderline()||e.isStrikethrough())){if(r._ctx.save(),e.isInverse())if(e.isBgDefault())r._ctx.fillStyle=r._colors.background.css;else if(e.isBgRGB())r._ctx.fillStyle="rgb("+l.AttributeData.toColorRGB(e.getBgColor()).join(",")+")";else{var n=e.getBgColor();r._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&n<8&&(n+=8),r._ctx.fillStyle=r._colors.ansi[n].css}else if(e.isFgDefault())r._ctx.fillStyle=r._colors.foreground.css;else if(e.isFgRGB())r._ctx.fillStyle="rgb("+l.AttributeData.toColorRGB(e.getFgColor()).join(",")+")";else{var o=e.getFgColor();r._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&o<8&&(o+=8),r._ctx.fillStyle=r._colors.ansi[o].css}e.isStrikethrough()&&r._fillMiddleLineAtCells(t,i,e.getWidth()),e.isUnderline()&&r._fillBottomLineAtCells(t,i,e.getWidth()),r._ctx.restore()}}))},t.prototype.onGridChanged=function(e,t){0!==this._state.cache.length&&(this._charAtlas&&this._charAtlas.beginFrame(),this._clearCells(0,e,this._bufferService.cols,t-e+1),this._drawBackground(e,t),this._drawForeground(e,t))},t.prototype.onOptionsChanged=function(){this._setTransparency(this._optionsService.options.allowTransparency)},t.prototype._isOverlapping=function(e){if(1!==e.getWidth())return!1;if(e.getCode()<256)return!1;var t=e.getChars();if(this._characterOverlapCache.hasOwnProperty(t))return this._characterOverlapCache[t];this._ctx.save(),this._ctx.font=this._characterFont;var r=Math.floor(this._ctx.measureText(t).width)>this._characterWidth;return this._ctx.restore(),this._characterOverlapCache[t]=r,r},o([s(5,f.IBufferService),s(6,f.IOptionsService),s(7,_.ICharacterJoinerService)],t)}(c.BaseRenderLayer);t.TextRenderLayer=p},9616:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.BaseCharAtlas=void 0;var r=function(){function e(){this._didWarmUp=!1}return e.prototype.dispose=function(){},e.prototype.warmUp=function(){this._didWarmUp||(this._doWarmUp(),this._didWarmUp=!0)},e.prototype._doWarmUp=function(){},e.prototype.clear=function(){},e.prototype.beginFrame=function(){},e}();t.BaseCharAtlas=r},1420:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.removeTerminalFromCache=t.acquireCharAtlas=void 0;var i=r(2040),n=r(1906),o=[];t.acquireCharAtlas=function(e,t,r,s,a){for(var c=(0,i.generateConfig)(s,a,e,r),l=0;l<o.length;l++){var u=(h=o[l]).ownedBy.indexOf(t);if(u>=0){if((0,i.configEquals)(h.config,c))return h.atlas;1===h.ownedBy.length?(h.atlas.dispose(),o.splice(l,1)):h.ownedBy.splice(u,1);break}}for(l=0;l<o.length;l++){var h=o[l];if((0,i.configEquals)(h.config,c))return h.ownedBy.push(t),h.atlas}var f={atlas:new n.DynamicCharAtlas(document,c),config:c,ownedBy:[t]};return o.push(f),f.atlas},t.removeTerminalFromCache=function(e){for(var t=0;t<o.length;t++){var r=o[t].ownedBy.indexOf(e);if(-1!==r){1===o[t].ownedBy.length?(o[t].atlas.dispose(),o.splice(t,1)):o[t].ownedBy.splice(r,1);break}}}},2040:function(e,t,r){var i=this&&this.__spreadArray||function(e,t,r){if(r||2===arguments.length)for(var i,n=0,o=t.length;n<o;n++)!i&&n in t||(i||(i=Array.prototype.slice.call(t,0,n)),i[n]=t[n]);return e.concat(i||Array.prototype.slice.call(t))};Object.defineProperty(t,"__esModule",{value:!0}),t.is256Color=t.configEquals=t.generateConfig=void 0;var n=r(643);t.generateConfig=function(e,t,r,n){var o={foreground:n.foreground,background:n.background,cursor:void 0,cursorAccent:void 0,selection:void 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i=r(6114);t.INVERTED_DEFAULT_COLOR=257,t.DIM_OPACITY=.5,t.TEXT_BASELINE=i.isFirefox?"bottom":"ideographic",t.CHAR_ATLAS_CELL_SPACING=1},1906:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.NoneCharAtlas=t.DynamicCharAtlas=t.getGlyphCacheKey=void 0;var o=r(8803),s=r(9616),a=r(5680),c=r(7001),l=r(6114),u=r(1752),h=r(4774),f=1024,_=1024,d={css:"rgba(0, 0, 0, 0)",rgba:0};function p(e){return e.code<<21|e.bg<<12|e.fg<<3|(e.bold?0:4)+(e.dim?0:2)+(e.italic?0:1)}t.getGlyphCacheKey=p;var v=function(e){function t(t,r){var i=e.call(this)||this;i._config=r,i._drawToCacheCount=0,i._glyphsWaitingOnBitmap=[],i._bitmapCommitTimeout=null,i._bitmap=null,i._cacheCanvas=t.createElement("canvas"),i._cacheCanvas.width=f,i._cacheCanvas.height=_,i._cacheCtx=(0,u.throwIfFalsy)(i._cacheCanvas.getContext("2d",{alpha:!0}));var n=t.createElement("canvas");n.width=i._config.scaledCharWidth,n.height=i._config.scaledCharHeight,i._tmpCtx=(0,u.throwIfFalsy)(n.getContext("2d",{alpha:i._config.allowTransparency})),i._width=Math.floor(f/i._config.scaledCharWidth),i._height=Math.floor(_/i._config.scaledCharHeight);var o=i._width*i._height;return i._cacheMap=new c.LRUMap(o),i._cacheMap.prealloc(o),i}return n(t,e),t.prototype.dispose=function(){null!==this._bitmapCommitTimeout&&(window.clearTimeout(this._bitmapCommitTimeout),this._bitmapCommitTimeout=null)},t.prototype.beginFrame=function(){this._drawToCacheCount=0},t.prototype.clear=function(){if(this._cacheMap.size>0){var e=this._width*this._height;this._cacheMap=new c.LRUMap(e),this._cacheMap.prealloc(e)}this._cacheCtx.clearRect(0,0,f,_),this._tmpCtx.clearRect(0,0,this._config.scaledCharWidth,this._config.scaledCharHeight)},t.prototype.draw=function(e,t,r,i){if(32===t.code)return!0;if(!this._canCache(t))return!1;var n=p(t),o=this._cacheMap.get(n);if(null!=o)return this._drawFromCache(e,o,r,i),!0;if(this._drawToCacheCount<100){var s;s=this._cacheMap.size<this._cacheMap.capacity?this._cacheMap.size:this._cacheMap.peek().index;var a=this._drawToCache(t,s);return this._cacheMap.set(n,a),this._drawFromCache(e,a,r,i),!0}return!1},t.prototype._canCache=function(e){return e.code<256},t.prototype._toCoordinateX=function(e){return e%this._width*this._config.scaledCharWidth},t.prototype._toCoordinateY=function(e){return Math.floor(e/this._width)*this._config.scaledCharHeight},t.prototype._drawFromCache=function(e,t,r,i){if(!t.isEmpty){var n=this._toCoordinateX(t.index),o=this._toCoordinateY(t.index);e.drawImage(t.inBitmap?this._bitmap:this._cacheCanvas,n,o,this._config.scaledCharWidth,this._config.scaledCharHeight,r,i,this._config.scaledCharWidth,this._config.scaledCharHeight)}},t.prototype._getColorFromAnsiIndex=function(e){return e<this._config.colors.ansi.length?this._config.colors.ansi[e]:a.DEFAULT_ANSI_COLORS[e]},t.prototype._getBackgroundColor=function(e){return this._config.allowTransparency?d:e.bg===o.INVERTED_DEFAULT_COLOR?this._config.colors.foreground:e.bg<256?this._getColorFromAnsiIndex(e.bg):this._config.colors.background},t.prototype._getForegroundColor=function(e){return e.fg===o.INVERTED_DEFAULT_COLOR?h.color.opaque(this._config.colors.background):e.fg<256?this._getColorFromAnsiIndex(e.fg):this._config.colors.foreground},t.prototype._drawToCache=function(e,t){this._drawToCacheCount++,this._tmpCtx.save();var r=this._getBackgroundColor(e);this._tmpCtx.globalCompositeOperation="copy",this._tmpCtx.fillStyle=r.css,this._tmpCtx.fillRect(0,0,this._config.scaledCharWidth,this._config.scaledCharHeight),this._tmpCtx.globalCompositeOperation="source-over";var i=e.bold?this._config.fontWeightBold:this._config.fontWeight,n=e.italic?"italic":"";this._tmpCtx.font=n+" "+i+" "+this._config.fontSize*this._config.devicePixelRatio+"px "+this._config.fontFamily,this._tmpCtx.textBaseline=o.TEXT_BASELINE,this._tmpCtx.fillStyle=this._getForegroundColor(e).css,e.dim&&(this._tmpCtx.globalAlpha=o.DIM_OPACITY),this._tmpCtx.fillText(e.chars,0,this._config.scaledCharHeight);var s=this._tmpCtx.getImageData(0,0,this._config.scaledCharWidth,this._config.scaledCharHeight),a=!1;if(this._config.allowTransparency||(a=y(s,r)),a&&"_"===e.chars&&!this._config.allowTransparency)for(var 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0!==t?(this._unlinkNode(t),this._appendNode(t),t.value):null},e.prototype.peekValue=function(e){var t=this._map[e];return void 0!==t?t.value:null},e.prototype.peek=function(){var e=this._head;return null===e?null:e.value},e.prototype.set=function(e,t){var r=this._map[e];if(void 0!==r)r=this._map[e],this._unlinkNode(r),r.value=t;else if(this.size>=this.capacity)r=this._head,this._unlinkNode(r),delete this._map[r.key],r.key=e,r.value=t,this._map[e]=r;else{var i=this._nodePool;i.length>0?((r=i.pop()).key=e,r.value=t):r={prev:null,next:null,key:e,value:t},this._map[e]=r,this.size++}this._appendNode(r)},e}();t.LRUMap=r},1296:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a 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f._onLinkHover(e)})),f._linkifier.onHideLinkUnderline((function(e){return f._onLinkLeave(e)})),f._linkifier2.onShowLinkUnderline((function(e){return f._onLinkHover(e)})),f._linkifier2.onHideLinkUnderline((function(e){return f._onLinkLeave(e)})),f}return n(t,e),Object.defineProperty(t.prototype,"onRequestRedraw",{get:function(){return(new 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e=0,t=this._rowElements;e<t.length;e++){var r=t[e];r.style.width=this.dimensions.canvasWidth+"px",r.style.height=this.dimensions.actualCellHeight+"px",r.style.lineHeight=this.dimensions.actualCellHeight+"px",r.style.overflow="hidden"}this._dimensionsStyleElement||(this._dimensionsStyleElement=document.createElement("style"),this._screenElement.appendChild(this._dimensionsStyleElement));var i=this._terminalSelector+" .xterm-rows span { display: inline-block; height: 100%; vertical-align: top; width: "+this.dimensions.actualCellWidth+"px}";this._dimensionsStyleElement.textContent=i,this._selectionContainer.style.height=this._viewportElement.style.height,this._screenElement.style.width=this.dimensions.canvasWidth+"px",this._screenElement.style.height=this.dimensions.canvasHeight+"px"},t.prototype.setColors=function(e){this._colors=e,this._injectCss()},t.prototype._injectCss=function(){var e=this;this._themeStyleElement||(this._themeStyleElement=document.createElement("style"),this._screenElement.appendChild(this._themeStyleElement));var t=this._terminalSelector+" .xterm-rows { color: "+this._colors.foreground.css+"; font-family: "+this._optionsService.options.fontFamily+"; font-size: "+this._optionsService.options.fontSize+"px;}";t+=this._terminalSelector+" span:not(."+a.BOLD_CLASS+") { font-weight: "+this._optionsService.options.fontWeight+";}"+this._terminalSelector+" span."+a.BOLD_CLASS+" { font-weight: "+this._optionsService.options.fontWeightBold+";}"+this._terminalSelector+" span."+a.ITALIC_CLASS+" { font-style: italic;}",t+="@keyframes blink_box_shadow_"+this._terminalClass+" { 50% {  box-shadow: none; }}",t+="@keyframes blink_block_"+this._terminalClass+" { 0% {  background-color: "+this._colors.cursor.css+";  color: "+this._colors.cursorAccent.css+"; } 50% {  background-color: "+this._colors.cursorAccent.css+";  color: "+this._colors.cursor.css+"; }}",t+=this._terminalSelector+" .xterm-rows:not(.xterm-focus) ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_BLOCK_CLASS+" { outline: 1px solid "+this._colors.cursor.css+"; outline-offset: -1px;}"+this._terminalSelector+" .xterm-rows.xterm-focus ."+a.CURSOR_CLASS+"."+a.CURSOR_BLINK_CLASS+":not(."+a.CURSOR_STYLE_BLOCK_CLASS+") { animation: blink_box_shadow_"+this._terminalClass+" 1s step-end infinite;}"+this._terminalSelector+" .xterm-rows.xterm-focus ."+a.CURSOR_CLASS+"."+a.CURSOR_BLINK_CLASS+"."+a.CURSOR_STYLE_BLOCK_CLASS+" { animation: blink_block_"+this._terminalClass+" 1s step-end infinite;}"+this._terminalSelector+" .xterm-rows.xterm-focus ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_BLOCK_CLASS+" { background-color: "+this._colors.cursor.css+"; color: "+this._colors.cursorAccent.css+";}"+this._terminalSelector+" .xterm-rows ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_BAR_CLASS+" { box-shadow: "+this._optionsService.options.cursorWidth+"px 0 0 "+this._colors.cursor.css+" inset;}"+this._terminalSelector+" .xterm-rows ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_UNDERLINE_CLASS+" { box-shadow: 0 -1px 0 "+this._colors.cursor.css+" inset;}",t+=this._terminalSelector+" .xterm-selection { position: absolute; top: 0; left: 0; z-index: 1; pointer-events: none;}"+this._terminalSelector+" .xterm-selection div { position: absolute; background-color: "+this._colors.selectionTransparent.css+";}",this._colors.ansi.forEach((function(r,i){t+=e._terminalSelector+" ."+v+i+" { color: "+r.css+"; }"+e._terminalSelector+" ."+g+i+" { background-color: "+r.css+"; }"})),t+=this._terminalSelector+" ."+v+c.INVERTED_DEFAULT_COLOR+" { color: "+_.color.opaque(this._colors.background).css+"; }"+this._terminalSelector+" ."+g+c.INVERTED_DEFAULT_COLOR+" { background-color: "+this._colors.foreground.css+"; }",this._themeStyleElement.textContent=t},t.prototype.onDevicePixelRatioChange=function(){this._updateDimensions()},t.prototype._refreshRowElements=function(e,t){for(var r=this._rowElements.length;r<=t;r++){var i=document.createElement("div");this._rowContainer.appendChild(i),this._rowElements.push(i)}for(;this._rowElements.length>t;)this._rowContainer.removeChild(this._rowElements.pop())},t.prototype.onResize=function(e,t){this._refreshRowElements(e,t),this._updateDimensions()},t.prototype.onCharSizeChanged=function(){this._updateDimensions()},t.prototype.onBlur=function(){this._rowContainer.classList.remove(y)},t.prototype.onFocus=function(){this._rowContainer.classList.add(y)},t.prototype.onSelectionChanged=function(e,t,r){for(;this._selectionContainer.children.length;)this._selectionContainer.removeChild(this._selectionContainer.children[0]);if(e&&t){var i=e[1]-this._bufferService.buffer.ydisp,n=t[1]-this._bufferService.buffer.ydisp,o=Math.max(i,0),s=Math.min(n,this._bufferService.rows-1);if(!(o>=this._bufferService.rows||s<0)){var a=document.createDocumentFragment();if(r)a.appendChild(this._createSelectionElement(o,e[0],t[0],s-o+1));else{var c=i===o?e[0]:0,l=o===n?t[0]:this._bufferService.cols;a.appendChild(this._createSelectionElement(o,c,l));var u=s-o-1;if(a.appendChild(this._createSelectionElement(o+1,0,this._bufferService.cols,u)),o!==s){var h=n===s?t[0]:this._bufferService.cols;a.appendChild(this._createSelectionElement(s,0,h))}}this._selectionContainer.appendChild(a)}}},t.prototype._createSelectionElement=function(e,t,r,i){void 0===i&&(i=1);var n=document.createElement("div");return n.style.height=i*this.dimensions.actualCellHeight+"px",n.style.top=e*this.dimensions.actualCellHeight+"px",n.style.left=t*this.dimensions.actualCellWidth+"px",n.style.width=this.dimensions.actualCellWidth*(r-t)+"px",n},t.prototype.onCursorMove=function(){},t.prototype.onOptionsChanged=function(){this._updateDimensions(),this._injectCss()},t.prototype.clear=function(){for(var e=0,t=this._rowElements;e<t.length;e++)t[e].innerText=""},t.prototype.renderRows=function(e,t){for(var r=this._bufferService.buffer.ybase+this._bufferService.buffer.y,i=Math.min(this._bufferService.buffer.x,this._bufferService.cols-1),n=this._optionsService.options.cursorBlink,o=e;o<=t;o++){var s=this._rowElements[o];s.innerText="";var a=o+this._bufferService.buffer.ydisp,c=this._bufferService.buffer.lines.get(a),l=this._optionsService.options.cursorStyle;s.appendChild(this._rowFactory.createRow(c,a,a===r,l,i,n,this.dimensions.actualCellWidth,this._bufferService.cols))}},Object.defineProperty(t.prototype,"_terminalSelector",{get:function(){return"."+p+this._terminalClass},enumerable:!1,configurable:!0}),t.prototype._onLinkHover=function(e){this._setCellUnderline(e.x1,e.x2,e.y1,e.y2,e.cols,!0)},t.prototype._onLinkLeave=function(e){this._setCellUnderline(e.x1,e.x2,e.y1,e.y2,e.cols,!1)},t.prototype._setCellUnderline=function(e,t,r,i,n,o){for(;e!==t||r!==i;){var s=this._rowElements[r];if(!s)return;var a=s.children[e];a&&(a.style.textDecoration=o?"underline":"none"),++e>=n&&(e=0,r++)}},o([s(6,h.IInstantiationService),s(7,u.ICharSizeService),s(8,h.IOptionsService),s(9,h.IBufferService)],t)}(l.Disposable);t.DomRenderer=b},3787:function(e,t,r){var i=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},n=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.DomRendererRowFactory=t.CURSOR_STYLE_UNDERLINE_CLASS=t.CURSOR_STYLE_BAR_CLASS=t.CURSOR_STYLE_BLOCK_CLASS=t.CURSOR_BLINK_CLASS=t.CURSOR_CLASS=t.STRIKETHROUGH_CLASS=t.UNDERLINE_CLASS=t.ITALIC_CLASS=t.DIM_CLASS=t.BOLD_CLASS=void 0;var o=r(8803),s=r(643),a=r(511),c=r(2585),l=r(4774),u=r(4725),h=r(4269);t.BOLD_CLASS="xterm-bold",t.DIM_CLASS="xterm-dim",t.ITALIC_CLASS="xterm-italic",t.UNDERLINE_CLASS="xterm-underline",t.STRIKETHROUGH_CLASS="xterm-strikethrough",t.CURSOR_CLASS="xterm-cursor",t.CURSOR_BLINK_CLASS="xterm-cursor-blink",t.CURSOR_STYLE_BLOCK_CLASS="xterm-cursor-block",t.CURSOR_STYLE_BAR_CLASS="xterm-cursor-bar",t.CURSOR_STYLE_UNDERLINE_CLASS="xterm-cursor-underline";var f=function(){function e(e,t,r,i,n){this._document=e,this._colors=t,this._characterJoinerService=r,this._optionsService=i,this._coreService=n,this._workCell=new a.CellData}return e.prototype.setColors=function(e){this._colors=e},e.prototype.createRow=function(e,r,i,n,a,c,u,f){for(var d=this._document.createDocumentFragment(),p=this._characterJoinerService.getJoinedCharacters(r),v=0,g=Math.min(e.length,f)-1;g>=0;g--)if(e.loadCell(g,this._workCell).getCode()!==s.NULL_CELL_CODE||i&&g===a){v=g+1;break}for(g=0;g<v;g++){e.loadCell(g,this._workCell);var y=this._workCell.getWidth();if(0!==y){var m=!1,b=g,S=this._workCell;if(p.length>0&&g===p[0][0]){m=!0;var C=p.shift();S=new h.JoinedCellData(this._workCell,e.translateToString(!0,C[0],C[1]),C[1]-C[0]),b=C[1]-1,y=S.getWidth()}var w=this._document.createElement("span");if(y>1&&(w.style.width=u*y+"px"),m&&(w.style.display="inline",a>=g&&a<=b&&(a=g)),!this._coreService.isCursorHidden&&i&&g===a)switch(w.classList.add(t.CURSOR_CLASS),c&&w.classList.add(t.CURSOR_BLINK_CLASS),n){case"bar":w.classList.add(t.CURSOR_STYLE_BAR_CLASS);break;case"underline":w.classList.add(t.CURSOR_STYLE_UNDERLINE_CLASS);break;default:w.classList.add(t.CURSOR_STYLE_BLOCK_CLASS)}S.isBold()&&w.classList.add(t.BOLD_CLASS),S.isItalic()&&w.classList.add(t.ITALIC_CLASS),S.isDim()&&w.classList.add(t.DIM_CLASS),S.isUnderline()&&w.classList.add(t.UNDERLINE_CLASS),S.isInvisible()?w.textContent=s.WHITESPACE_CELL_CHAR:w.textContent=S.getChars()||s.WHITESPACE_CELL_CHAR,S.isStrikethrough()&&w.classList.add(t.STRIKETHROUGH_CLASS);var L=S.getFgColor(),E=S.getFgColorMode(),x=S.getBgColor(),A=S.getBgColorMode(),k=!!S.isInverse();if(k){var M=L;L=x,x=M;var R=E;E=A,A=R}switch(E){case 16777216:case 33554432:S.isBold()&&L<8&&this._optionsService.options.drawBoldTextInBrightColors&&(L+=8),this._applyMinimumContrast(w,this._colors.background,this._colors.ansi[L])||w.classList.add("xterm-fg-"+L);break;case 50331648:var T=l.rgba.toColor(L>>16&255,L>>8&255,255&L);this._applyMinimumContrast(w,this._colors.background,T)||this._addStyle(w,"color:#"+_(L.toString(16),"0",6));break;default:this._applyMinimumContrast(w,this._colors.background,this._colors.foreground)||k&&w.classList.add("xterm-fg-"+o.INVERTED_DEFAULT_COLOR)}switch(A){case 16777216:case 33554432:w.classList.add("xterm-bg-"+x);break;case 50331648:this._addStyle(w,"background-color:#"+_(x.toString(16),"0",6));break;default:k&&w.classList.add("xterm-bg-"+o.INVERTED_DEFAULT_COLOR)}d.appendChild(w),g=b}}return d},e.prototype._applyMinimumContrast=function(e,t,r){if(1===this._optionsService.options.minimumContrastRatio)return!1;var i=this._colors.contrastCache.getColor(this._workCell.bg,this._workCell.fg);return void 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this.isSelectAllActive?[0,0]:this.selectionEnd&&this.selectionStart&&this.areSelectionValuesReversed()?this.selectionEnd:this.selectionStart},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"finalSelectionEnd",{get:function(){if(this.isSelectAllActive)return[this._bufferService.cols,this._bufferService.buffer.ybase+this._bufferService.rows-1];if(this.selectionStart){if(!this.selectionEnd||this.areSelectionValuesReversed()){var e=this.selectionStart[0]+this.selectionStartLength;return e>this._bufferService.cols?e%this._bufferService.cols==0?[this._bufferService.cols,this.selectionStart[1]+Math.floor(e/this._bufferService.cols)-1]:[e%this._bufferService.cols,this.selectionStart[1]+Math.floor(e/this._bufferService.cols)]:[e,this.selectionStart[1]]}return 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this._model.selectionStart=[n.start.x-1,n.start.y-1],this._model.selectionStartLength=(0,v.getRangeLength)(n,this._bufferService.cols),this._model.selectionEnd=void 0,!0;var o=this._getMouseBufferCoords(e);return!!o&&(this._selectWordAt(o,t),this._model.selectionEnd=void 0,!0)},t.prototype.selectAll=function(){this._model.isSelectAllActive=!0,this.refresh(),this._onSelectionChange.fire()},t.prototype.selectLines=function(e,t){this._model.clearSelection(),e=Math.max(e,0),t=Math.min(t,this._bufferService.buffer.lines.length-1),this._model.selectionStart=[0,e],this._model.selectionEnd=[this._bufferService.cols,t],this.refresh(),this._onSelectionChange.fire()},t.prototype._onTrim=function(e){this._model.onTrim(e)&&this.refresh()},t.prototype._getMouseBufferCoords=function(e){var t=this._mouseService.getCoords(e,this._screenElement,this._bufferService.cols,this._bufferService.rows,!0);if(t)return t[0]--,t[1]--,t[1]+=this._bufferService.buffer.ydisp,t},t.prototype._getMouseEventScrollAmount=function(e){var t=(0,_.getCoordsRelativeToElement)(e,this._screenElement)[1],r=this._renderService.dimensions.canvasHeight;return t>=0&&t<=r?0:(t>r&&(t-=r),t=Math.min(Math.max(t,-50),50),(t/=50)/Math.abs(t)+Math.round(14*t))},t.prototype.shouldForceSelection=function(e){return a.isMac?e.altKey&&this._optionsService.options.macOptionClickForcesSelection:e.shiftKey},t.prototype.onMouseDown=function(e){if(this._mouseDownTimeStamp=e.timeStamp,(2!==e.button||!this.hasSelection)&&0===e.button){if(!this._enabled){if(!this.shouldForceSelection(e))return;e.stopPropagation()}e.preventDefault(),this._dragScrollAmount=0,this._enabled&&e.shiftKey?this._onIncrementalClick(e):1===e.detail?this._onSingleClick(e):2===e.detail?this._onDoubleClick(e):3===e.detail&&this._onTripleClick(e),this._addMouseDownListeners(),this.refresh(!0)}},t.prototype._addMouseDownListeners=function(){var e=this;this._screenElement.ownerDocument&&(this._screenElement.ownerDocument.addEventListener("mousemove",this._mouseMoveListener),this._screenElement.ownerDocument.addEventListener("mouseup",this._mouseUpListener)),this._dragScrollIntervalTimer=window.setInterval((function(){return e._dragScroll()}),50)},t.prototype._removeMouseDownListeners=function(){this._screenElement.ownerDocument&&(this._screenElement.ownerDocument.removeEventListener("mousemove",this._mouseMoveListener),this._screenElement.ownerDocument.removeEventListener("mouseup",this._mouseUpListener)),clearInterval(this._dragScrollIntervalTimer),this._dragScrollIntervalTimer=void 0},t.prototype._onIncrementalClick=function(e){this._model.selectionStart&&(this._model.selectionEnd=this._getMouseBufferCoords(e))},t.prototype._onSingleClick=function(e){if(this._model.selectionStartLength=0,this._model.isSelectAllActive=!1,this._activeSelectionMode=this.shouldColumnSelect(e)?3:0,this._model.selectionStart=this._getMouseBufferCoords(e),this._model.selectionStart){this._model.selectionEnd=void 0;var t=this._bufferService.buffer.lines.get(this._model.selectionStart[1]);t&&t.length!==this._model.selectionStart[0]&&0===t.hasWidth(this._model.selectionStart[0])&&this._model.selectionStart[0]++}},t.prototype._onDoubleClick=function(e){this._selectWordAtCursor(e,!0)&&(this._activeSelectionMode=1)},t.prototype._onTripleClick=function(e){var t=this._getMouseBufferCoords(e);t&&(this._activeSelectionMode=2,this._selectLineAt(t[1]))},t.prototype.shouldColumnSelect=function(e){return e.altKey&&!(a.isMac&&this._optionsService.options.macOptionClickForcesSelection)},t.prototype._onMouseMove=function(e){if(e.stopImmediatePropagation(),this._model.selectionStart){var t=this._model.selectionEnd?[this._model.selectionEnd[0],this._model.selectionEnd[1]]:null;if(this._model.selectionEnd=this._getMouseBufferCoords(e),this._model.selectionEnd){2===this._activeSelectionMode?this._model.selectionEnd[1]<this._model.selectionStart[1]?this._model.selectionEnd[0]=0:this._model.selectionEnd[0]=this._bufferService.cols:1===this._activeSelectionMode&&this._selectToWordAt(this._model.selectionEnd),this._dragScrollAmount=this._getMouseEventScrollAmount(e),3!==this._activeSelectionMode&&(this._dragScrollAmount>0?this._model.selectionEnd[0]=this._bufferService.cols:this._dragScrollAmount<0&&(this._model.selectionEnd[0]=0));var r=this._bufferService.buffer;if(this._model.selectionEnd[1]<r.lines.length){var i=r.lines.get(this._model.selectionEnd[1]);i&&0===i.hasWidth(this._model.selectionEnd[0])&&this._model.selectionEnd[0]++}t&&t[0]===this._model.selectionEnd[0]&&t[1]===this._model.selectionEnd[1]||this.refresh(!0)}else this.refresh(!0)}},t.prototype._dragScroll=function(){if(this._model.selectionEnd&&this._model.selectionStart&&this._dragScrollAmount){this._onRequestScrollLines.fire({amount:this._dragScrollAmount,suppressScrollEvent:!1});var e=this._bufferService.buffer;this._dragScrollAmount>0?(3!==this._activeSelectionMode&&(this._model.selectionEnd[0]=this._bufferService.cols),this._model.selectionEnd[1]=Math.min(e.ydisp+this._bufferService.rows,e.lines.length-1)):(3!==this._activeSelectionMode&&(this._model.selectionEnd[0]=0),this._model.selectionEnd[1]=e.ydisp),this.refresh()}},t.prototype._onMouseUp=function(e){var t=e.timeStamp-this._mouseDownTimeStamp;if(this._removeMouseDownListeners(),this.selectionText.length<=1&&t<500&&e.altKey&&this._optionsService.getOption("altClickMovesCursor")){if(this._bufferService.buffer.ybase===this._bufferService.buffer.ydisp){var r=this._mouseService.getCoords(e,this._element,this._bufferService.cols,this._bufferService.rows,!1);if(r&&void 0!==r[0]&&void 0!==r[1]){var i=(0,d.moveToCellSequence)(r[0]-1,r[1]-1,this._bufferService,this._coreService.decPrivateModes.applicationCursorKeys);this._coreService.triggerDataEvent(i,!0)}}}else this._fireEventIfSelectionChanged()},t.prototype._fireEventIfSelectionChanged=function(){var e=this._model.finalSelectionStart,t=this._model.finalSelectionEnd,r=!(!e||!t||e[0]===t[0]&&e[1]===t[1]);r?e&&t&&(this._oldSelectionStart&&this._oldSelectionEnd&&e[0]===this._oldSelectionStart[0]&&e[1]===this._oldSelectionStart[1]&&t[0]===this._oldSelectionEnd[0]&&t[1]===this._oldSelectionEnd[1]||this._fireOnSelectionChange(e,t,r)):this._oldHasSelection&&this._fireOnSelectionChange(e,t,r)},t.prototype._fireOnSelectionChange=function(e,t,r){this._oldSelectionStart=e,this._oldSelectionEnd=t,this._oldHasSelection=r,this._onSelectionChange.fire()},t.prototype._onBufferActivate=function(e){var t=this;this.clearSelection(),this._trimListener.dispose(),this._trimListener=e.activeBuffer.lines.onTrim((function(e){return t._onTrim(e)}))},t.prototype._convertViewportColToCharacterIndex=function(e,t){for(var r=t[0],i=0;t[0]>=i;i++){var n=e.loadCell(i,this._workCell).getChars().length;0===this._workCell.getWidth()?r--:n>1&&t[0]!==i&&(r+=n-1)}return r},t.prototype.setSelection=function(e,t,r){this._model.clearSelection(),this._removeMouseDownListeners(),this._model.selectionStart=[e,t],this._model.selectionStartLength=r,this.refresh()},t.prototype.rightClickSelect=function(e){this._isClickInSelection(e)||(this._selectWordAtCursor(e,!1)&&this.refresh(!0),this._fireEventIfSelectionChanged())},t.prototype._getWordAt=function(e,t,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=!0),!(e[0]>=this._bufferService.cols)){var n=this._bufferService.buffer,o=n.lines.get(e[1]);if(o){var s=n.translateBufferLineToString(e[1],!1),a=this._convertViewportColToCharacterIndex(o,e),c=a,l=e[0]-a,u=0,h=0,f=0,_=0;if(" "===s.charAt(a)){for(;a>0&&" "===s.charAt(a-1);)a--;for(;c<s.length&&" "===s.charAt(c+1);)c++}else{var d=e[0],p=e[0];0===o.getWidth(d)&&(u++,d--),2===o.getWidth(p)&&(h++,p++);var v=o.getString(p).length;for(v>1&&(_+=v-1,c+=v-1);d>0&&a>0&&!this._isCharWordSeparator(o.loadCell(d-1,this._workCell));){o.loadCell(d-1,this._workCell);var g=this._workCell.getChars().length;0===this._workCell.getWidth()?(u++,d--):g>1&&(f+=g-1,a-=g-1),a--,d--}for(;p<o.length&&c+1<s.length&&!this._isCharWordSeparator(o.loadCell(p+1,this._workCell));){o.loadCell(p+1,this._workCell);var y=this._workCell.getChars().length;2===this._workCell.getWidth()?(h++,p++):y>1&&(_+=y-1,c+=y-1),c++,p++}}c++;var m=a+l-u+f,b=Math.min(this._bufferService.cols,c-a+u+h-f-_);if(t||""!==s.slice(a,c).trim()){if(r&&0===m&&32!==o.getCodePoint(0)){var S=n.lines.get(e[1]-1);if(S&&o.isWrapped&&32!==S.getCodePoint(this._bufferService.cols-1)){var C=this._getWordAt([this._bufferService.cols-1,e[1]-1],!1,!0,!1);if(C){var w=this._bufferService.cols-C.start;m-=w,b+=w}}}if(i&&m+b===this._bufferService.cols&&32!==o.getCodePoint(this._bufferService.cols-1)){var L=n.lines.get(e[1]+1);if((null==L?void 0:L.isWrapped)&&32!==L.getCodePoint(0)){var E=this._getWordAt([0,e[1]+1],!1,!1,!0);E&&(b+=E.length)}}return{start:m,length:b}}}}},t.prototype._selectWordAt=function(e,t){var r=this._getWordAt(e,t);if(r){for(;r.start<0;)r.start+=this._bufferService.cols,e[1]--;this._model.selectionStart=[r.start,e[1]],this._model.selectionStartLength=r.length}},t.prototype._selectToWordAt=function(e){var t=this._getWordAt(e,!0);if(t){for(var r=e[1];t.start<0;)t.start+=this._bufferService.cols,r--;if(!this._model.areSelectionValuesReversed())for(;t.start+t.length>this._bufferService.cols;)t.length-=this._bufferService.cols,r++;this._model.selectionEnd=[this._model.areSelectionValuesReversed()?t.start:t.start+t.length,r]}},t.prototype._isCharWordSeparator=function(e){return 0!==e.getWidth()&&this._optionsService.options.wordSeparator.indexOf(e.getChars())>=0},t.prototype._selectLineAt=function(e){var t=this._bufferService.buffer.getWrappedRangeForLine(e);this._model.selectionStart=[0,t.first],this._model.selectionEnd=[this._bufferService.cols,t.last],this._model.selectionStartLength=0},o([s(3,f.IBufferService),s(4,f.ICoreService),s(5,h.IMouseService),s(6,f.IOptionsService),s(7,h.IRenderService)],t)}(p.Disposable);t.SelectionService=m},4725:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.ICharacterJoinerService=t.ISoundService=t.ISelectionService=t.IRenderService=t.IMouseService=t.ICoreBrowserService=t.ICharSizeService=void 0;var i=r(8343);t.ICharSizeService=(0,i.createDecorator)("CharSizeService"),t.ICoreBrowserService=(0,i.createDecorator)("CoreBrowserService"),t.IMouseService=(0,i.createDecorator)("MouseService"),t.IRenderService=(0,i.createDecorator)("RenderService"),t.ISelectionService=(0,i.createDecorator)("SelectionService"),t.ISoundService=(0,i.createDecorator)("SoundService"),t.ICharacterJoinerService=(0,i.createDecorator)("CharacterJoinerService")},357:function(e,t,r){var i=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},n=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.SoundService=void 0;var o=r(2585),s=function(){function e(e){this._optionsService=e}return Object.defineProperty(e,"audioContext",{get:function(){if(!e._audioContext){var t=window.AudioContext||window.webkitAudioContext;if(!t)return console.warn("Web Audio API is not supported by this browser. Consider upgrading to the latest version"),null;e._audioContext=new t}return e._audioContext},enumerable:!1,configurable:!0}),e.prototype.playBellSound=function(){var t=e.audioContext;if(t){var r=t.createBufferSource();t.decodeAudioData(this._base64ToArrayBuffer(this._removeMimeType(this._optionsService.options.bellSound)),(function(e){r.buffer=e,r.connect(t.destination),r.start(0)}))}},e.prototype._base64ToArrayBuffer=function(e){for(var t=window.atob(e),r=t.length,i=new Uint8Array(r),n=0;n<r;n++)i[n]=t.charCodeAt(n);return i.buffer},e.prototype._removeMimeType=function(e){return e.split(",")[1]},e=i([n(0,o.IOptionsService)],e)}();t.SoundService=s},6349:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.CircularList=void 0;var i=r(8460),n=function(){function e(e){this._maxLength=e,this.onDeleteEmitter=new i.EventEmitter,this.onInsertEmitter=new i.EventEmitter,this.onTrimEmitter=new i.EventEmitter,this._array=new Array(this._maxLength),this._startIndex=0,this._length=0}return Object.defineProperty(e.prototype,"onDelete",{get:function(){return this.onDeleteEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"onInsert",{get:function(){return this.onInsertEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"onTrim",{get:function(){return this.onTrimEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"maxLength",{get:function(){return this._maxLength},set:function(e){if(this._maxLength!==e){for(var t=new Array(e),r=0;r<Math.min(e,this.length);r++)t[r]=this._array[this._getCyclicIndex(r)];this._array=t,this._maxLength=e,this._startIndex=0}},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"length",{get:function(){return this._length},set:function(e){if(e>this._length)for(var t=this._length;t<e;t++)this._array[t]=void 0;this._length=e},enumerable:!1,configurable:!0}),e.prototype.get=function(e){return this._array[this._getCyclicIndex(e)]},e.prototype.set=function(e,t){this._array[this._getCyclicIndex(e)]=t},e.prototype.push=function(e){this._array[this._getCyclicIndex(this._length)]=e,this._length===this._maxLength?(this._startIndex=++this._startIndex%this._maxLength,this.onTrimEmitter.fire(1)):this._length++},e.prototype.recycle=function(){if(this._length!==this._maxLength)throw new Error("Can only recycle when the buffer is full");return this._startIndex=++this._startIndex%this._maxLength,this.onTrimEmitter.fire(1),this._array[this._getCyclicIndex(this._length-1)]},Object.defineProperty(e.prototype,"isFull",{get:function(){return this._length===this._maxLength},enumerable:!1,configurable:!0}),e.prototype.pop=function(){return this._array[this._getCyclicIndex(this._length---1)]},e.prototype.splice=function(e,t){for(var r=[],i=2;i<arguments.length;i++)r[i-2]=arguments[i];if(t){for(var n=e;n<this._length-t;n++)this._array[this._getCyclicIndex(n)]=this._array[this._getCyclicIndex(n+t)];this._length-=t,this.onDeleteEmitter.fire({index:e,amount:t})}for(n=this._length-1;n>=e;n--)this._array[this._getCyclicIndex(n+r.length)]=this._array[this._getCyclicIndex(n)];for(n=0;n<r.length;n++)this._array[this._getCyclicIndex(e+n)]=r[n];if(r.length&&this.onInsertEmitter.fire({index:e,amount:r.length}),this._length+r.length>this._maxLength){var o=this._length+r.length-this._maxLength;this._startIndex+=o,this._length=this._maxLength,this.onTrimEmitter.fire(o)}else this._length+=r.length},e.prototype.trimStart=function(e){e>this._length&&(e=this._length),this._startIndex+=e,this._length-=e,this.onTrimEmitter.fire(e)},e.prototype.shiftElements=function(e,t,r){if(!(t<=0)){if(e<0||e>=this._length)throw new Error("start argument out of range");if(e+r<0)throw new Error("Cannot shift elements in list beyond index 0");if(r>0){for(var i=t-1;i>=0;i--)this.set(e+i+r,this.get(e+i));var n=e+t+r-this._length;if(n>0)for(this._length+=n;this._length>this._maxLength;)this._length--,this._startIndex++,this.onTrimEmitter.fire(1)}else for(i=0;i<t;i++)this.set(e+i+r,this.get(e+i))}},e.prototype._getCyclicIndex=function(e){return(this._startIndex+e)%this._maxLength},e}();t.CircularList=n},1439:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.clone=void 0,t.clone=function e(t,r){if(void 0===r&&(r=5),"object"!=typeof t)return t;var i=Array.isArray(t)?[]:{};for(var n in t)i[n]=r<=1?t[n]:t[n]&&e(t[n],r-1);return i}},8969:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.CoreTerminal=void 0;var o=r(844),s=r(2585),a=r(4348),c=r(7866),l=r(744),u=r(7302),h=r(6975),f=r(8460),_=r(1753),d=r(3730),p=r(1480),v=r(7994),g=r(9282),y=r(5435),m=r(5981),b=!1,S=function(e){function t(t){var r=e.call(this)||this;return r._onBinary=new f.EventEmitter,r._onData=new f.EventEmitter,r._onLineFeed=new f.EventEmitter,r._onResize=new f.EventEmitter,r._onScroll=new f.EventEmitter,r._instantiationService=new a.InstantiationService,r.optionsService=new u.OptionsService(t),r._instantiationService.setService(s.IOptionsService,r.optionsService),r._bufferService=r.register(r._instantiationService.createInstance(l.BufferService)),r._instantiationService.setService(s.IBufferService,r._bufferService),r._logService=r._instantiationService.createInstance(c.LogService),r._instantiationService.setService(s.ILogService,r._logService),r.coreService=r.register(r._instantiationService.createInstance(h.CoreService,(function(){return r.scrollToBottom()}))),r._instantiationService.setService(s.ICoreService,r.coreService),r.coreMouseService=r._instantiationService.createInstance(_.CoreMouseService),r._instantiationService.setService(s.ICoreMouseService,r.coreMouseService),r._dirtyRowService=r._instantiationService.createInstance(d.DirtyRowService),r._instantiationService.setService(s.IDirtyRowService,r._dirtyRowService),r.unicodeService=r._instantiationService.createInstance(p.UnicodeService),r._instantiationService.setService(s.IUnicodeService,r.unicodeService),r._charsetService=r._instantiationService.createInstance(v.CharsetService),r._instantiationService.setService(s.ICharsetService,r._charsetService),r._inputHandler=new y.InputHandler(r._bufferService,r._charsetService,r.coreService,r._dirtyRowService,r._logService,r.optionsService,r.coreMouseService,r.unicodeService),r.register((0,f.forwardEvent)(r._inputHandler.onLineFeed,r._onLineFeed)),r.register(r._inputHandler),r.register((0,f.forwardEvent)(r._bufferService.onResize,r._onResize)),r.register((0,f.forwardEvent)(r.coreService.onData,r._onData)),r.register((0,f.forwardEvent)(r.coreService.onBinary,r._onBinary)),r.register(r.optionsService.onOptionChange((function(e){return r._updateOptions(e)}))),r.register(r._bufferService.onScroll((function(e){r._onScroll.fire({position:r._bufferService.buffer.ydisp,source:0}),r._dirtyRowService.markRangeDirty(r._bufferService.buffer.scrollTop,r._bufferService.buffer.scrollBottom)}))),r.register(r._inputHandler.onScroll((function(e){r._onScroll.fire({position:r._bufferService.buffer.ydisp,source:0}),r._dirtyRowService.markRangeDirty(r._bufferService.buffer.scrollTop,r._bufferService.buffer.scrollBottom)}))),r._writeBuffer=new m.WriteBuffer((function(e,t){return r._inputHandler.parse(e,t)})),r}return n(t,e),Object.defineProperty(t.prototype,"onBinary",{get:function(){return this._onBinary.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onData",{get:function(){return this._onData.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onLineFeed",{get:function(){return this._onLineFeed.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onResize",{get:function(){return this._onResize.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onScroll",{get:function(){var e=this;return this._onScrollApi||(this._onScrollApi=new f.EventEmitter,this.register(this._onScroll.event((function(t){var r;null===(r=e._onScrollApi)||void 0===r||r.fire(t.position)})))),this._onScrollApi.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"cols",{get:function(){return this._bufferService.cols},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"rows",{get:function(){return this._bufferService.rows},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"buffers",{get:function(){return this._bufferService.buffers},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"options",{get:function(){return this.optionsService.options},set:function(e){for(var t in e)this.optionsService.options[t]=e[t]},enumerable:!1,configurable:!0}),t.prototype.dispose=function(){var t;this._isDisposed||(e.prototype.dispose.call(this),null===(t=this._windowsMode)||void 0===t||t.dispose(),this._windowsMode=void 0)},t.prototype.write=function(e,t){this._writeBuffer.write(e,t)},t.prototype.writeSync=function(e,t){this._logService.logLevel<=s.LogLevelEnum.WARN&&!b&&(this._logService.warn("writeSync is unreliable and will be removed soon."),b=!0),this._writeBuffer.writeSync(e,t)},t.prototype.resize=function(e,t){isNaN(e)||isNaN(t)||(e=Math.max(e,l.MINIMUM_COLS),t=Math.max(t,l.MINIMUM_ROWS),this._bufferService.resize(e,t))},t.prototype.scroll=function(e,t){void 0===t&&(t=!1),this._bufferService.scroll(e,t)},t.prototype.scrollLines=function(e,t,r){this._bufferService.scrollLines(e,t,r)},t.prototype.scrollPages=function(e){this._bufferService.scrollPages(e)},t.prototype.scrollToTop=function(){this._bufferService.scrollToTop()},t.prototype.scrollToBottom=function(){this._bufferService.scrollToBottom()},t.prototype.scrollToLine=function(e){this._bufferService.scrollToLine(e)},t.prototype.registerEscHandler=function(e,t){return this._inputHandler.registerEscHandler(e,t)},t.prototype.registerDcsHandler=function(e,t){return this._inputHandler.registerDcsHandler(e,t)},t.prototype.registerCsiHandler=function(e,t){return this._inputHandler.registerCsiHandler(e,t)},t.prototype.registerOscHandler=function(e,t){return this._inputHandler.registerOscHandler(e,t)},t.prototype._setup=function(){this.optionsService.options.windowsMode&&this._enableWindowsMode()},t.prototype.reset=function(){this._inputHandler.reset(),this._bufferService.reset(),this._charsetService.reset(),this.coreService.reset(),this.coreMouseService.reset()},t.prototype._updateOptions=function(e){var t;switch(e){case"scrollback":this.buffers.resize(this.cols,this.rows);break;case"windowsMode":this.optionsService.options.windowsMode?this._enableWindowsMode():(null===(t=this._windowsMode)||void 0===t||t.dispose(),this._windowsMode=void 0)}},t.prototype._enableWindowsMode=function(){var e=this;if(!this._windowsMode){var t=[];t.push(this.onLineFeed(g.updateWindowsModeWrappedState.bind(null,this._bufferService))),t.push(this.registerCsiHandler({final:"H"},(function(){return(0,g.updateWindowsModeWrappedState)(e._bufferService),!1}))),this._windowsMode={dispose:function(){for(var e=0,r=t;e<r.length;e++)r[e].dispose()}}}},t}(o.Disposable);t.CoreTerminal=S},8460:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.forwardEvent=t.EventEmitter=void 0;var r=function(){function e(){this._listeners=[],this._disposed=!1}return Object.defineProperty(e.prototype,"event",{get:function(){var e=this;return this._event||(this._event=function(t){return e._listeners.push(t),{dispose:function(){if(!e._disposed)for(var r=0;r<e._listeners.length;r++)if(e._listeners[r]===t)return void e._listeners.splice(r,1)}}}),this._event},enumerable:!1,configurable:!0}),e.prototype.fire=function(e,t){for(var r=[],i=0;i<this._listeners.length;i++)r.push(this._listeners[i]);for(i=0;i<r.length;i++)r[i].call(void 0,e,t)},e.prototype.dispose=function(){this._listeners&&(this._listeners.length=0),this._disposed=!0},e}();t.EventEmitter=r,t.forwardEvent=function(e,t){return e((function(e){return t.fire(e)}))}},5435:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.InputHandler=t.WindowsOptionsReportType=void 0;var o,s=r(2584),a=r(7116),c=r(2015),l=r(844),u=r(8273),h=r(482),f=r(8437),_=r(8460),d=r(643),p=r(511),v=r(3734),g=r(2585),y=r(6242),m=r(6351),b=r(5941),S={"(":0,")":1,"*":2,"+":3,"-":1,".":2},C=131072;function w(e,t){if(e>24)return t.setWinLines||!1;switch(e){case 1:return!!t.restoreWin;case 2:return!!t.minimizeWin;case 3:return!!t.setWinPosition;case 4:return!!t.setWinSizePixels;case 5:return!!t.raiseWin;case 6:return!!t.lowerWin;case 7:return!!t.refreshWin;case 8:return!!t.setWinSizeChars;case 9:return!!t.maximizeWin;case 10:return!!t.fullscreenWin;case 11:return!!t.getWinState;case 13:return!!t.getWinPosition;case 14:return!!t.getWinSizePixels;case 15:return!!t.getScreenSizePixels;case 16:return!!t.getCellSizePixels;case 18:return!!t.getWinSizeChars;case 19:return!!t.getScreenSizeChars;case 20:return!!t.getIconTitle;case 21:return!!t.getWinTitle;case 22:return!!t.pushTitle;case 23:return!!t.popTitle;case 24:return!!t.setWinLines}return!1}!function(e){e[e.GET_WIN_SIZE_PIXELS=0]="GET_WIN_SIZE_PIXELS",e[e.GET_CELL_SIZE_PIXELS=1]="GET_CELL_SIZE_PIXELS"}(o=t.WindowsOptionsReportType||(t.WindowsOptionsReportType={}));var L=function(){function e(e,t,r,i){this._bufferService=e,this._coreService=t,this._logService=r,this._optionsService=i,this._data=new Uint32Array(0)}return e.prototype.hook=function(e){this._data=new Uint32Array(0)},e.prototype.put=function(e,t,r){this._data=(0,u.concat)(this._data,e.subarray(t,r))},e.prototype.unhook=function(e){if(!e)return this._data=new Uint32Array(0),!0;var t=(0,h.utf32ToString)(this._data);switch(this._data=new Uint32Array(0),t){case'"q':this._coreService.triggerDataEvent(s.C0.ESC+'P1$r0"q'+s.C0.ESC+"\\");break;case'"p':this._coreService.triggerDataEvent(s.C0.ESC+'P1$r61;1"p'+s.C0.ESC+"\\");break;case"r":var r=this._bufferService.buffer.scrollTop+1+";"+(this._bufferService.buffer.scrollBottom+1)+"r";this._coreService.triggerDataEvent(s.C0.ESC+"P1$r"+r+s.C0.ESC+"\\");break;case"m":this._coreService.triggerDataEvent(s.C0.ESC+"P1$r0m"+s.C0.ESC+"\\");break;case" q":var i={block:2,underline:4,bar:6}[this._optionsService.options.cursorStyle];i-=this._optionsService.options.cursorBlink?1:0,this._coreService.triggerDataEvent(s.C0.ESC+"P1$r"+i+" q"+s.C0.ESC+"\\");break;default:this._logService.debug("Unknown DCS $q %s",t),this._coreService.triggerDataEvent(s.C0.ESC+"P0$r"+s.C0.ESC+"\\")}return!0},e}(),E=function(e){function t(t,r,i,n,o,l,u,d,v){void 0===v&&(v=new c.EscapeSequenceParser);var g=e.call(this)||this;g._bufferService=t,g._charsetService=r,g._coreService=i,g._dirtyRowService=n,g._logService=o,g._optionsService=l,g._coreMouseService=u,g._unicodeService=d,g._parser=v,g._parseBuffer=new Uint32Array(4096),g._stringDecoder=new h.StringToUtf32,g._utf8Decoder=new h.Utf8ToUtf32,g._workCell=new p.CellData,g._windowTitle="",g._iconName="",g._windowTitleStack=[],g._iconNameStack=[],g._curAttrData=f.DEFAULT_ATTR_DATA.clone(),g._eraseAttrDataInternal=f.DEFAULT_ATTR_DATA.clone(),g._onRequestBell=new _.EventEmitter,g._onRequestRefreshRows=new _.EventEmitter,g._onRequestReset=new _.EventEmitter,g._onRequestSendFocus=new _.EventEmitter,g._onRequestSyncScrollBar=new _.EventEmitter,g._onRequestWindowsOptionsReport=new _.EventEmitter,g._onA11yChar=new _.EventEmitter,g._onA11yTab=new _.EventEmitter,g._onCursorMove=new _.EventEmitter,g._onLineFeed=new _.EventEmitter,g._onScroll=new _.EventEmitter,g._onTitleChange=new _.EventEmitter,g._onColor=new _.EventEmitter,g._parseStack={paused:!1,cursorStartX:0,cursorStartY:0,decodedLength:0,position:0},g._specialColors=[256,257,258],g.register(g._parser),g._activeBuffer=g._bufferService.buffer,g.register(g._bufferService.buffers.onBufferActivate((function(e){return g._activeBuffer=e.activeBuffer}))),g._parser.setCsiHandlerFallback((function(e,t){g._logService.debug("Unknown CSI code: ",{identifier:g._parser.identToString(e),params:t.toArray()})})),g._parser.setEscHandlerFallback((function(e){g._logService.debug("Unknown ESC code: ",{identifier:g._parser.identToString(e)})})),g._parser.setExecuteHandlerFallback((function(e){g._logService.debug("Unknown EXECUTE code: ",{code:e})})),g._parser.setOscHandlerFallback((function(e,t,r){g._logService.debug("Unknown OSC code: ",{identifier:e,action:t,data:r})})),g._parser.setDcsHandlerFallback((function(e,t,r){"HOOK"===t&&(r=r.toArray()),g._logService.debug("Unknown DCS code: ",{identifier:g._parser.identToString(e),action:t,payload:r})})),g._parser.setPrintHandler((function(e,t,r){return g.print(e,t,r)})),g._parser.registerCsiHandler({final:"@"},(function(e){return g.insertChars(e)})),g._parser.registerCsiHandler({intermediates:" ",final:"@"},(function(e){return g.scrollLeft(e)})),g._parser.registerCsiHandler({final:"A"},(function(e){return g.cursorUp(e)})),g._parser.registerCsiHandler({intermediates:" ",final:"A"},(function(e){return g.scrollRight(e)})),g._parser.registerCsiHandler({final:"B"},(function(e){return g.cursorDown(e)})),g._parser.registerCsiHandler({final:"C"},(function(e){return g.cursorForward(e)})),g._parser.registerCsiHandler({final:"D"},(function(e){return g.cursorBackward(e)})),g._parser.registerCsiHandler({final:"E"},(function(e){return g.cursorNextLine(e)})),g._parser.registerCsiHandler({final:"F"},(function(e){return g.cursorPrecedingLine(e)})),g._parser.registerCsiHandler({final:"G"},(function(e){return g.cursorCharAbsolute(e)})),g._parser.registerCsiHandler({final:"H"},(function(e){return g.cursorPosition(e)})),g._parser.registerCsiHandler({final:"I"},(function(e){return g.cursorForwardTab(e)})),g._parser.registerCsiHandler({final:"J"},(function(e){return g.eraseInDisplay(e)})),g._parser.registerCsiHandler({prefix:"?",final:"J"},(function(e){return g.eraseInDisplay(e)})),g._parser.registerCsiHandler({final:"K"},(function(e){return g.eraseInLine(e)})),g._parser.registerCsiHandler({prefix:"?",final:"K"},(function(e){return g.eraseInLine(e)})),g._parser.registerCsiHandler({final:"L"},(function(e){return g.insertLines(e)})),g._parser.registerCsiHandler({final:"M"},(function(e){return g.deleteLines(e)})),g._parser.registerCsiHandler({final:"P"},(function(e){return g.deleteChars(e)})),g._parser.registerCsiHandler({final:"S"},(function(e){return g.scrollUp(e)})),g._parser.registerCsiHandler({final:"T"},(function(e){return g.scrollDown(e)})),g._parser.registerCsiHandler({final:"X"},(function(e){return g.eraseChars(e)})),g._parser.registerCsiHandler({final:"Z"},(function(e){return g.cursorBackwardTab(e)})),g._parser.registerCsiHandler({final:"`"},(function(e){return g.charPosAbsolute(e)})),g._parser.registerCsiHandler({final:"a"},(function(e){return g.hPositionRelative(e)})),g._parser.registerCsiHandler({final:"b"},(function(e){return g.repeatPrecedingCharacter(e)})),g._parser.registerCsiHandler({final:"c"},(function(e){return g.sendDeviceAttributesPrimary(e)})),g._parser.registerCsiHandler({prefix:">",final:"c"},(function(e){return g.sendDeviceAttributesSecondary(e)})),g._parser.registerCsiHandler({final:"d"},(function(e){return g.linePosAbsolute(e)})),g._parser.registerCsiHandler({final:"e"},(function(e){return g.vPositionRelative(e)})),g._parser.registerCsiHandler({final:"f"},(function(e){return g.hVPosition(e)})),g._parser.registerCsiHandler({final:"g"},(function(e){return g.tabClear(e)})),g._parser.registerCsiHandler({final:"h"},(function(e){return g.setMode(e)})),g._parser.registerCsiHandler({prefix:"?",final:"h"},(function(e){return g.setModePrivate(e)})),g._parser.registerCsiHandler({final:"l"},(function(e){return g.resetMode(e)})),g._parser.registerCsiHandler({prefix:"?",final:"l"},(function(e){return g.resetModePrivate(e)})),g._parser.registerCsiHandler({final:"m"},(function(e){return g.charAttributes(e)})),g._parser.registerCsiHandler({final:"n"},(function(e){return g.deviceStatus(e)})),g._parser.registerCsiHandler({prefix:"?",final:"n"},(function(e){return g.deviceStatusPrivate(e)})),g._parser.registerCsiHandler({intermediates:"!",final:"p"},(function(e){return g.softReset(e)})),g._parser.registerCsiHandler({intermediates:" ",final:"q"},(function(e){return g.setCursorStyle(e)})),g._parser.registerCsiHandler({final:"r"},(function(e){return g.setScrollRegion(e)})),g._parser.registerCsiHandler({final:"s"},(function(e){return g.saveCursor(e)})),g._parser.registerCsiHandler({final:"t"},(function(e){return g.windowOptions(e)})),g._parser.registerCsiHandler({final:"u"},(function(e){return g.restoreCursor(e)})),g._parser.registerCsiHandler({intermediates:"'",final:"}"},(function(e){return g.insertColumns(e)})),g._parser.registerCsiHandler({intermediates:"'",final:"~"},(function(e){return g.deleteColumns(e)})),g._parser.setExecuteHandler(s.C0.BEL,(function(){return g.bell()})),g._parser.setExecuteHandler(s.C0.LF,(function(){return g.lineFeed()})),g._parser.setExecuteHandler(s.C0.VT,(function(){return g.lineFeed()})),g._parser.setExecuteHandler(s.C0.FF,(function(){return g.lineFeed()})),g._parser.setExecuteHandler(s.C0.CR,(function(){return g.carriageReturn()})),g._parser.setExecuteHandler(s.C0.BS,(function(){return g.backspace()})),g._parser.setExecuteHandler(s.C0.HT,(function(){return g.tab()})),g._parser.setExecuteHandler(s.C0.SO,(function(){return g.shiftOut()})),g._parser.setExecuteHandler(s.C0.SI,(function(){return g.shiftIn()})),g._parser.setExecuteHandler(s.C1.IND,(function(){return g.index()})),g._parser.setExecuteHandler(s.C1.NEL,(function(){return g.nextLine()})),g._parser.setExecuteHandler(s.C1.HTS,(function(){return g.tabSet()})),g._parser.registerOscHandler(0,new y.OscHandler((function(e){return g.setTitle(e),g.setIconName(e),!0}))),g._parser.registerOscHandler(1,new y.OscHandler((function(e){return g.setIconName(e)}))),g._parser.registerOscHandler(2,new y.OscHandler((function(e){return g.setTitle(e)}))),g._parser.registerOscHandler(4,new y.OscHandler((function(e){return g.setOrReportIndexedColor(e)}))),g._parser.registerOscHandler(10,new y.OscHandler((function(e){return g.setOrReportFgColor(e)}))),g._parser.registerOscHandler(11,new y.OscHandler((function(e){return g.setOrReportBgColor(e)}))),g._parser.registerOscHandler(12,new y.OscHandler((function(e){return g.setOrReportCursorColor(e)}))),g._parser.registerOscHandler(104,new y.OscHandler((function(e){return g.restoreIndexedColor(e)}))),g._parser.registerOscHandler(110,new y.OscHandler((function(e){return g.restoreFgColor(e)}))),g._parser.registerOscHandler(111,new y.OscHandler((function(e){return g.restoreBgColor(e)}))),g._parser.registerOscHandler(112,new y.OscHandler((function(e){return g.restoreCursorColor(e)}))),g._parser.registerEscHandler({final:"7"},(function(){return g.saveCursor()})),g._parser.registerEscHandler({final:"8"},(function(){return g.restoreCursor()})),g._parser.registerEscHandler({final:"D"},(function(){return g.index()})),g._parser.registerEscHandler({final:"E"},(function(){return g.nextLine()})),g._parser.registerEscHandler({final:"H"},(function(){return g.tabSet()})),g._parser.registerEscHandler({final:"M"},(function(){return g.reverseIndex()})),g._parser.registerEscHandler({final:"="},(function(){return g.keypadApplicationMode()})),g._parser.registerEscHandler({final:">"},(function(){return g.keypadNumericMode()})),g._parser.registerEscHandler({final:"c"},(function(){return g.fullReset()})),g._parser.registerEscHandler({final:"n"},(function(){return g.setgLevel(2)})),g._parser.registerEscHandler({final:"o"},(function(){return g.setgLevel(3)})),g._parser.registerEscHandler({final:"|"},(function(){return g.setgLevel(3)})),g._parser.registerEscHandler({final:"}"},(function(){return g.setgLevel(2)})),g._parser.registerEscHandler({final:"~"},(function(){return g.setgLevel(1)})),g._parser.registerEscHandler({intermediates:"%",final:"@"},(function(){return g.selectDefaultCharset()})),g._parser.registerEscHandler({intermediates:"%",final:"G"},(function(){return g.selectDefaultCharset()}));var m=function(e){b._parser.registerEscHandler({intermediates:"(",final:e},(function(){return g.selectCharset("("+e)})),b._parser.registerEscHandler({intermediates:")",final:e},(function(){return g.selectCharset(")"+e)})),b._parser.registerEscHandler({intermediates:"*",final:e},(function(){return g.selectCharset("*"+e)})),b._parser.registerEscHandler({intermediates:"+",final:e},(function(){return g.selectCharset("+"+e)})),b._parser.registerEscHandler({intermediates:"-",final:e},(function(){return g.selectCharset("-"+e)})),b._parser.registerEscHandler({intermediates:".",final:e},(function(){return g.selectCharset("."+e)})),b._parser.registerEscHandler({intermediates:"/",final:e},(function(){return g.selectCharset("/"+e)}))},b=this;for(var S in a.CHARSETS)m(S);return g._parser.registerEscHandler({intermediates:"#",final:"8"},(function(){return g.screenAlignmentPattern()})),g._parser.setErrorHandler((function(e){return g._logService.error("Parsing error: ",e),e})),g._parser.registerDcsHandler({intermediates:"$",final:"q"},new L(g._bufferService,g._coreService,g._logService,g._optionsService)),g}return n(t,e),Object.defineProperty(t.prototype,"onRequestBell",{get:function(){return this._onRequestBell.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestRefreshRows",{get:function(){return this._onRequestRefreshRows.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestReset",{get:function(){return this._onRequestReset.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestSendFocus",{get:function(){return this._onRequestSendFocus.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestSyncScrollBar",{get:function(){return this._onRequestSyncScrollBar.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestWindowsOptionsReport",{get:function(){return this._onRequestWindowsOptionsReport.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yChar",{get:function(){return this._onA11yChar.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yTab",{get:function(){return this._onA11yTab.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onCursorMove",{get:function(){return this._onCursorMove.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onLineFeed",{get:function(){return this._onLineFeed.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onScroll",{get:function(){return this._onScroll.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onTitleChange",{get:function(){return this._onTitleChange.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onColor",{get:function(){return this._onColor.event},enumerable:!1,configurable:!0}),t.prototype.dispose=function(){e.prototype.dispose.call(this)},t.prototype._preserveStack=function(e,t,r,i){this._parseStack.paused=!0,this._parseStack.cursorStartX=e,this._parseStack.cursorStartY=t,this._parseStack.decodedLength=r,this._parseStack.position=i},t.prototype._logSlowResolvingAsync=function(e){this._logService.logLevel<=g.LogLevelEnum.WARN&&Promise.race([e,new Promise((function(e,t){return setTimeout((function(){return t("#SLOW_TIMEOUT")}),5e3)}))]).catch((function(e){if("#SLOW_TIMEOUT"!==e)throw e;console.warn("async parser handler taking longer than 5000 ms")}))},t.prototype.parse=function(e,t){var r,i=this._activeBuffer.x,n=this._activeBuffer.y,o=0,s=this._parseStack.paused;if(s){if(r=this._parser.parse(this._parseBuffer,this._parseStack.decodedLength,t))return this._logSlowResolvingAsync(r),r;i=this._parseStack.cursorStartX,n=this._parseStack.cursorStartY,this._parseStack.paused=!1,e.length>C&&(o=this._parseStack.position+C)}if(this._logService.logLevel<=g.LogLevelEnum.DEBUG&&this._logService.debug("parsing data"+("string"==typeof e?' "'+e+'"':""),"string"==typeof e?e.split("").map((function(e){return e.charCodeAt(0)})):e),this._parseBuffer.length<e.length&&this._parseBuffer.length<C&&(this._parseBuffer=new Uint32Array(Math.min(e.length,C))),s||this._dirtyRowService.clearRange(),e.length>C)for(var a=o;a<e.length;a+=C){var c=a+C<e.length?a+C:e.length,l="string"==typeof e?this._stringDecoder.decode(e.substring(a,c),this._parseBuffer):this._utf8Decoder.decode(e.subarray(a,c),this._parseBuffer);if(r=this._parser.parse(this._parseBuffer,l))return this._preserveStack(i,n,l,a),this._logSlowResolvingAsync(r),r}else if(!s&&(l="string"==typeof e?this._stringDecoder.decode(e,this._parseBuffer):this._utf8Decoder.decode(e,this._parseBuffer),r=this._parser.parse(this._parseBuffer,l)))return this._preserveStack(i,n,l,0),this._logSlowResolvingAsync(r),r;this._activeBuffer.x===i&&this._activeBuffer.y===n||this._onCursorMove.fire(),this._onRequestRefreshRows.fire(this._dirtyRowService.start,this._dirtyRowService.end)},t.prototype.print=function(e,t,r){var i,n,o=this._charsetService.charset,s=this._optionsService.options.screenReaderMode,a=this._bufferService.cols,c=this._coreService.decPrivateModes.wraparound,l=this._coreService.modes.insertMode,u=this._curAttrData,f=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);this._dirtyRowService.markDirty(this._activeBuffer.y),this._activeBuffer.x&&r-t>0&&2===f.getWidth(this._activeBuffer.x-1)&&f.setCellFromCodePoint(this._activeBuffer.x-1,0,1,u.fg,u.bg,u.extended);for(var _=t;_<r;++_){if(i=e[_],n=this._unicodeService.wcwidth(i),i<127&&o){var p=o[String.fromCharCode(i)];p&&(i=p.charCodeAt(0))}if(s&&this._onA11yChar.fire((0,h.stringFromCodePoint)(i)),n||!this._activeBuffer.x){if(this._activeBuffer.x+n-1>=a)if(c){for(;this._activeBuffer.x<a;)f.setCellFromCodePoint(this._activeBuffer.x++,0,1,u.fg,u.bg,u.extended);this._activeBuffer.x=0,this._activeBuffer.y++,this._activeBuffer.y===this._activeBuffer.scrollBottom+1?(this._activeBuffer.y--,this._bufferService.scroll(this._eraseAttrData(),!0)):(this._activeBuffer.y>=this._bufferService.rows&&(this._activeBuffer.y=this._bufferService.rows-1),this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y).isWrapped=!0),f=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y)}else if(this._activeBuffer.x=a-1,2===n)continue;if(l&&(f.insertCells(this._activeBuffer.x,n,this._activeBuffer.getNullCell(u),u),2===f.getWidth(a-1)&&f.setCellFromCodePoint(a-1,d.NULL_CELL_CODE,d.NULL_CELL_WIDTH,u.fg,u.bg,u.extended)),f.setCellFromCodePoint(this._activeBuffer.x++,i,n,u.fg,u.bg,u.extended),n>0)for(;--n;)f.setCellFromCodePoint(this._activeBuffer.x++,0,0,u.fg,u.bg,u.extended)}else f.getWidth(this._activeBuffer.x-1)?f.addCodepointToCell(this._activeBuffer.x-1,i):f.addCodepointToCell(this._activeBuffer.x-2,i)}r-t>0&&(f.loadCell(this._activeBuffer.x-1,this._workCell),2===this._workCell.getWidth()||this._workCell.getCode()>65535?this._parser.precedingCodepoint=0:this._workCell.isCombined()?this._parser.precedingCodepoint=this._workCell.getChars().charCodeAt(0):this._parser.precedingCodepoint=this._workCell.content),this._activeBuffer.x<a&&r-t>0&&0===f.getWidth(this._activeBuffer.x)&&!f.hasContent(this._activeBuffer.x)&&f.setCellFromCodePoint(this._activeBuffer.x,0,1,u.fg,u.bg,u.extended),this._dirtyRowService.markDirty(this._activeBuffer.y)},t.prototype.registerCsiHandler=function(e,t){var r=this;return"t"!==e.final||e.prefix||e.intermediates?this._parser.registerCsiHandler(e,t):this._parser.registerCsiHandler(e,(function(e){return!w(e.params[0],r._optionsService.options.windowOptions)||t(e)}))},t.prototype.registerDcsHandler=function(e,t){return this._parser.registerDcsHandler(e,new m.DcsHandler(t))},t.prototype.registerEscHandler=function(e,t){return this._parser.registerEscHandler(e,t)},t.prototype.registerOscHandler=function(e,t){return this._parser.registerOscHandler(e,new y.OscHandler(t))},t.prototype.bell=function(){return this._onRequestBell.fire(),!0},t.prototype.lineFeed=function(){return this._dirtyRowService.markDirty(this._activeBuffer.y),this._optionsService.options.convertEol&&(this._activeBuffer.x=0),this._activeBuffer.y++,this._activeBuffer.y===this._activeBuffer.scrollBottom+1?(this._activeBuffer.y--,this._bufferService.scroll(this._eraseAttrData())):this._activeBuffer.y>=this._bufferService.rows&&(this._activeBuffer.y=this._bufferService.rows-1),this._activeBuffer.x>=this._bufferService.cols&&this._activeBuffer.x--,this._dirtyRowService.markDirty(this._activeBuffer.y),this._onLineFeed.fire(),!0},t.prototype.carriageReturn=function(){return this._activeBuffer.x=0,!0},t.prototype.backspace=function(){var e;if(!this._coreService.decPrivateModes.reverseWraparound)return this._restrictCursor(),this._activeBuffer.x>0&&this._activeBuffer.x--,!0;if(this._restrictCursor(this._bufferService.cols),this._activeBuffer.x>0)this._activeBuffer.x--;else if(0===this._activeBuffer.x&&this._activeBuffer.y>this._activeBuffer.scrollTop&&this._activeBuffer.y<=this._activeBuffer.scrollBottom&&(null===(e=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y))||void 0===e?void 0:e.isWrapped)){this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y).isWrapped=!1,this._activeBuffer.y--,this._activeBuffer.x=this._bufferService.cols-1;var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);t.hasWidth(this._activeBuffer.x)&&!t.hasContent(this._activeBuffer.x)&&this._activeBuffer.x--}return this._restrictCursor(),!0},t.prototype.tab=function(){if(this._activeBuffer.x>=this._bufferService.cols)return!0;var e=this._activeBuffer.x;return this._activeBuffer.x=this._activeBuffer.nextStop(),this._optionsService.options.screenReaderMode&&this._onA11yTab.fire(this._activeBuffer.x-e),!0},t.prototype.shiftOut=function(){return this._charsetService.setgLevel(1),!0},t.prototype.shiftIn=function(){return this._charsetService.setgLevel(0),!0},t.prototype._restrictCursor=function(e){void 0===e&&(e=this._bufferService.cols-1),this._activeBuffer.x=Math.min(e,Math.max(0,this._activeBuffer.x)),this._activeBuffer.y=this._coreService.decPrivateModes.origin?Math.min(this._activeBuffer.scrollBottom,Math.max(this._activeBuffer.scrollTop,this._activeBuffer.y)):Math.min(this._bufferService.rows-1,Math.max(0,this._activeBuffer.y)),this._dirtyRowService.markDirty(this._activeBuffer.y)},t.prototype._setCursor=function(e,t){this._dirtyRowService.markDirty(this._activeBuffer.y),this._coreService.decPrivateModes.origin?(this._activeBuffer.x=e,this._activeBuffer.y=this._activeBuffer.scrollTop+t):(this._activeBuffer.x=e,this._activeBuffer.y=t),this._restrictCursor(),this._dirtyRowService.markDirty(this._activeBuffer.y)},t.prototype._moveCursor=function(e,t){this._restrictCursor(),this._setCursor(this._activeBuffer.x+e,this._activeBuffer.y+t)},t.prototype.cursorUp=function(e){var t=this._activeBuffer.y-this._activeBuffer.scrollTop;return t>=0?this._moveCursor(0,-Math.min(t,e.params[0]||1)):this._moveCursor(0,-(e.params[0]||1)),!0},t.prototype.cursorDown=function(e){var t=this._activeBuffer.scrollBottom-this._activeBuffer.y;return t>=0?this._moveCursor(0,Math.min(t,e.params[0]||1)):this._moveCursor(0,e.params[0]||1),!0},t.prototype.cursorForward=function(e){return this._moveCursor(e.params[0]||1,0),!0},t.prototype.cursorBackward=function(e){return this._moveCursor(-(e.params[0]||1),0),!0},t.prototype.cursorNextLine=function(e){return this.cursorDown(e),this._activeBuffer.x=0,!0},t.prototype.cursorPrecedingLine=function(e){return this.cursorUp(e),this._activeBuffer.x=0,!0},t.prototype.cursorCharAbsolute=function(e){return this._setCursor((e.params[0]||1)-1,this._activeBuffer.y),!0},t.prototype.cursorPosition=function(e){return this._setCursor(e.length>=2?(e.params[1]||1)-1:0,(e.params[0]||1)-1),!0},t.prototype.charPosAbsolute=function(e){return this._setCursor((e.params[0]||1)-1,this._activeBuffer.y),!0},t.prototype.hPositionRelative=function(e){return this._moveCursor(e.params[0]||1,0),!0},t.prototype.linePosAbsolute=function(e){return this._setCursor(this._activeBuffer.x,(e.params[0]||1)-1),!0},t.prototype.vPositionRelative=function(e){return this._moveCursor(0,e.params[0]||1),!0},t.prototype.hVPosition=function(e){return this.cursorPosition(e),!0},t.prototype.tabClear=function(e){var t=e.params[0];return 0===t?delete this._activeBuffer.tabs[this._activeBuffer.x]:3===t&&(this._activeBuffer.tabs={}),!0},t.prototype.cursorForwardTab=function(e){if(this._activeBuffer.x>=this._bufferService.cols)return!0;for(var t=e.params[0]||1;t--;)this._activeBuffer.x=this._activeBuffer.nextStop();return!0},t.prototype.cursorBackwardTab=function(e){if(this._activeBuffer.x>=this._bufferService.cols)return!0;for(var t=e.params[0]||1;t--;)this._activeBuffer.x=this._activeBuffer.prevStop();return!0},t.prototype._eraseInBufferLine=function(e,t,r,i){void 0===i&&(i=!1);var n=this._activeBuffer.lines.get(this._activeBuffer.ybase+e);n.replaceCells(t,r,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i&&(n.isWrapped=!1)},t.prototype._resetBufferLine=function(e){var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+e);t.fill(this._activeBuffer.getNullCell(this._eraseAttrData())),t.isWrapped=!1},t.prototype.eraseInDisplay=function(e){var t;switch(this._restrictCursor(this._bufferService.cols),e.params[0]){case 0:for(t=this._activeBuffer.y,this._dirtyRowService.markDirty(t),this._eraseInBufferLine(t++,this._activeBuffer.x,this._bufferService.cols,0===this._activeBuffer.x);t<this._bufferService.rows;t++)this._resetBufferLine(t);this._dirtyRowService.markDirty(t);break;case 1:for(t=this._activeBuffer.y,this._dirtyRowService.markDirty(t),this._eraseInBufferLine(t,0,this._activeBuffer.x+1,!0),this._activeBuffer.x+1>=this._bufferService.cols&&(this._activeBuffer.lines.get(t+1).isWrapped=!1);t--;)this._resetBufferLine(t);this._dirtyRowService.markDirty(0);break;case 2:for(t=this._bufferService.rows,this._dirtyRowService.markDirty(t-1);t--;)this._resetBufferLine(t);this._dirtyRowService.markDirty(0);break;case 3:var r=this._activeBuffer.lines.length-this._bufferService.rows;r>0&&(this._activeBuffer.lines.trimStart(r),this._activeBuffer.ybase=Math.max(this._activeBuffer.ybase-r,0),this._activeBuffer.ydisp=Math.max(this._activeBuffer.ydisp-r,0),this._onScroll.fire(0))}return!0},t.prototype.eraseInLine=function(e){switch(this._restrictCursor(this._bufferService.cols),e.params[0]){case 0:this._eraseInBufferLine(this._activeBuffer.y,this._activeBuffer.x,this._bufferService.cols,0===this._activeBuffer.x);break;case 1:this._eraseInBufferLine(this._activeBuffer.y,0,this._activeBuffer.x+1,!1);break;case 2:this._eraseInBufferLine(this._activeBuffer.y,0,this._bufferService.cols,!0)}return this._dirtyRowService.markDirty(this._activeBuffer.y),!0},t.prototype.insertLines=function(e){this._restrictCursor();var t=e.params[0]||1;if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var r=this._activeBuffer.ybase+this._activeBuffer.y,i=this._bufferService.rows-1-this._activeBuffer.scrollBottom,n=this._bufferService.rows-1+this._activeBuffer.ybase-i+1;t--;)this._activeBuffer.lines.splice(n-1,1),this._activeBuffer.lines.splice(r,0,this._activeBuffer.getBlankLine(this._eraseAttrData()));return this._dirtyRowService.markRangeDirty(this._activeBuffer.y,this._activeBuffer.scrollBottom),this._activeBuffer.x=0,!0},t.prototype.deleteLines=function(e){this._restrictCursor();var t=e.params[0]||1;if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;var r,i=this._activeBuffer.ybase+this._activeBuffer.y;for(r=this._bufferService.rows-1-this._activeBuffer.scrollBottom,r=this._bufferService.rows-1+this._activeBuffer.ybase-r;t--;)this._activeBuffer.lines.splice(i,1),this._activeBuffer.lines.splice(r,0,this._activeBuffer.getBlankLine(this._eraseAttrData()));return this._dirtyRowService.markRangeDirty(this._activeBuffer.y,this._activeBuffer.scrollBottom),this._activeBuffer.x=0,!0},t.prototype.insertChars=function(e){this._restrictCursor();var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);return t&&(t.insertCells(this._activeBuffer.x,e.params[0]||1,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),this._dirtyRowService.markDirty(this._activeBuffer.y)),!0},t.prototype.deleteChars=function(e){this._restrictCursor();var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);return t&&(t.deleteCells(this._activeBuffer.x,e.params[0]||1,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),this._dirtyRowService.markDirty(this._activeBuffer.y)),!0},t.prototype.scrollUp=function(e){for(var t=e.params[0]||1;t--;)this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollTop,1),this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollBottom,0,this._activeBuffer.getBlankLine(this._eraseAttrData()));return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.scrollDown=function(e){for(var t=e.params[0]||1;t--;)this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollBottom,1),this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollTop,0,this._activeBuffer.getBlankLine(f.DEFAULT_ATTR_DATA));return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.scrollLeft=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.deleteCells(0,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.scrollRight=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.insertCells(0,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.insertColumns=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.insertCells(this._activeBuffer.x,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.deleteColumns=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.deleteCells(this._activeBuffer.x,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.eraseChars=function(e){this._restrictCursor();var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);return t&&(t.replaceCells(this._activeBuffer.x,this._activeBuffer.x+(e.params[0]||1),this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),this._dirtyRowService.markDirty(this._activeBuffer.y)),!0},t.prototype.repeatPrecedingCharacter=function(e){if(!this._parser.precedingCodepoint)return!0;for(var t=e.params[0]||1,r=new Uint32Array(t),i=0;i<t;++i)r[i]=this._parser.precedingCodepoint;return this.print(r,0,r.length),!0},t.prototype.sendDeviceAttributesPrimary=function(e){return e.params[0]>0||(this._is("xterm")||this._is("rxvt-unicode")||this._is("screen")?this._coreService.triggerDataEvent(s.C0.ESC+"[?1;2c"):this._is("linux")&&this._coreService.triggerDataEvent(s.C0.ESC+"[?6c")),!0},t.prototype.sendDeviceAttributesSecondary=function(e){return e.params[0]>0||(this._is("xterm")?this._coreService.triggerDataEvent(s.C0.ESC+"[>0;276;0c"):this._is("rxvt-unicode")?this._coreService.triggerDataEvent(s.C0.ESC+"[>85;95;0c"):this._is("linux")?this._coreService.triggerDataEvent(e.params[0]+"c"):this._is("screen")&&this._coreService.triggerDataEvent(s.C0.ESC+"[>83;40003;0c")),!0},t.prototype._is=function(e){return 0===(this._optionsService.options.termName+"").indexOf(e)},t.prototype.setMode=function(e){for(var t=0;t<e.length;t++)4===e.params[t]&&(this._coreService.modes.insertMode=!0);return!0},t.prototype.setModePrivate=function(e){for(var t=0;t<e.length;t++)switch(e.params[t]){case 1:this._coreService.decPrivateModes.applicationCursorKeys=!0;break;case 2:this._charsetService.setgCharset(0,a.DEFAULT_CHARSET),this._charsetService.setgCharset(1,a.DEFAULT_CHARSET),this._charsetService.setgCharset(2,a.DEFAULT_CHARSET),this._charsetService.setgCharset(3,a.DEFAULT_CHARSET);break;case 3:this._optionsService.options.windowOptions.setWinLines&&(this._bufferService.resize(132,this._bufferService.rows),this._onRequestReset.fire());break;case 6:this._coreService.decPrivateModes.origin=!0,this._setCursor(0,0);break;case 7:this._coreService.decPrivateModes.wraparound=!0;break;case 12:break;case 45:this._coreService.decPrivateModes.reverseWraparound=!0;break;case 66:this._logService.debug("Serial port requested application keypad."),this._coreService.decPrivateModes.applicationKeypad=!0,this._onRequestSyncScrollBar.fire();break;case 9:this._coreMouseService.activeProtocol="X10";break;case 1e3:this._coreMouseService.activeProtocol="VT200";break;case 1002:this._coreMouseService.activeProtocol="DRAG";break;case 1003:this._coreMouseService.activeProtocol="ANY";break;case 1004:this._coreService.decPrivateModes.sendFocus=!0,this._onRequestSendFocus.fire();break;case 1005:this._logService.debug("DECSET 1005 not supported (see #2507)");break;case 1006:this._coreMouseService.activeEncoding="SGR";break;case 1015:this._logService.debug("DECSET 1015 not supported (see #2507)");break;case 25:this._coreService.isCursorHidden=!1;break;case 1048:this.saveCursor();break;case 1049:this.saveCursor();case 47:case 1047:this._bufferService.buffers.activateAltBuffer(this._eraseAttrData()),this._coreService.isCursorInitialized=!0,this._onRequestRefreshRows.fire(0,this._bufferService.rows-1),this._onRequestSyncScrollBar.fire();break;case 2004:this._coreService.decPrivateModes.bracketedPasteMode=!0}return!0},t.prototype.resetMode=function(e){for(var t=0;t<e.length;t++)4===e.params[t]&&(this._coreService.modes.insertMode=!1);return!0},t.prototype.resetModePrivate=function(e){for(var t=0;t<e.length;t++)switch(e.params[t]){case 1:this._coreService.decPrivateModes.applicationCursorKeys=!1;break;case 3:this._optionsService.options.windowOptions.setWinLines&&(this._bufferService.resize(80,this._bufferService.rows),this._onRequestReset.fire());break;case 6:this._coreService.decPrivateModes.origin=!1,this._setCursor(0,0);break;case 7:this._coreService.decPrivateModes.wraparound=!1;break;case 12:break;case 45:this._coreService.decPrivateModes.reverseWraparound=!1;break;case 66:this._logService.debug("Switching back to normal keypad."),this._coreService.decPrivateModes.applicationKeypad=!1,this._onRequestSyncScrollBar.fire();break;case 9:case 1e3:case 1002:case 1003:this._coreMouseService.activeProtocol="NONE";break;case 1004:this._coreService.decPrivateModes.sendFocus=!1;break;case 1005:this._logService.debug("DECRST 1005 not supported (see #2507)");break;case 1006:this._coreMouseService.activeEncoding="DEFAULT";break;case 1015:this._logService.debug("DECRST 1015 not supported (see #2507)");break;case 25:this._coreService.isCursorHidden=!0;break;case 1048:this.restoreCursor();break;case 1049:case 47:case 1047:this._bufferService.buffers.activateNormalBuffer(),1049===e.params[t]&&this.restoreCursor(),this._coreService.isCursorInitialized=!0,this._onRequestRefreshRows.fire(0,this._bufferService.rows-1),this._onRequestSyncScrollBar.fire();break;case 2004:this._coreService.decPrivateModes.bracketedPasteMode=!1}return!0},t.prototype._updateAttrColor=function(e,t,r,i,n){return 2===t?(e|=50331648,e&=-16777216,e|=v.AttributeData.fromColorRGB([r,i,n])):5===t&&(e&=-50331904,e|=33554432|255&r),e},t.prototype._extractColor=function(e,t,r){var i=[0,0,-1,0,0,0],n=0,o=0;do{if(i[o+n]=e.params[t+o],e.hasSubParams(t+o)){var s=e.getSubParams(t+o),a=0;do{5===i[1]&&(n=1),i[o+a+1+n]=s[a]}while(++a<s.length&&a+o+1+n<i.length);break}if(5===i[1]&&o+n>=2||2===i[1]&&o+n>=5)break;i[1]&&(n=1)}while(++o+t<e.length&&o+n<i.length);for(a=2;a<i.length;++a)-1===i[a]&&(i[a]=0);switch(i[0]){case 38:r.fg=this._updateAttrColor(r.fg,i[1],i[3],i[4],i[5]);break;case 48:r.bg=this._updateAttrColor(r.bg,i[1],i[3],i[4],i[5]);break;case 58:r.extended=r.extended.clone(),r.extended.underlineColor=this._updateAttrColor(r.extended.underlineColor,i[1],i[3],i[4],i[5])}return o},t.prototype._processUnderline=function(e,t){t.extended=t.extended.clone(),(!~e||e>5)&&(e=1),t.extended.underlineStyle=e,t.fg|=268435456,0===e&&(t.fg&=-268435457),t.updateExtended()},t.prototype.charAttributes=function(e){if(1===e.length&&0===e.params[0])return this._curAttrData.fg=f.DEFAULT_ATTR_DATA.fg,this._curAttrData.bg=f.DEFAULT_ATTR_DATA.bg,!0;for(var t,r=e.length,i=this._curAttrData,n=0;n<r;n++)(t=e.params[n])>=30&&t<=37?(i.fg&=-50331904,i.fg|=16777216|t-30):t>=40&&t<=47?(i.bg&=-50331904,i.bg|=16777216|t-40):t>=90&&t<=97?(i.fg&=-50331904,i.fg|=16777224|t-90):t>=100&&t<=107?(i.bg&=-50331904,i.bg|=16777224|t-100):0===t?(i.fg=f.DEFAULT_ATTR_DATA.fg,i.bg=f.DEFAULT_ATTR_DATA.bg):1===t?i.fg|=134217728:3===t?i.bg|=67108864:4===t?(i.fg|=268435456,this._processUnderline(e.hasSubParams(n)?e.getSubParams(n)[0]:1,i)):5===t?i.fg|=536870912:7===t?i.fg|=67108864:8===t?i.fg|=1073741824:9===t?i.fg|=2147483648:2===t?i.bg|=134217728:21===t?this._processUnderline(2,i):22===t?(i.fg&=-134217729,i.bg&=-134217729):23===t?i.bg&=-67108865:24===t?i.fg&=-268435457:25===t?i.fg&=-536870913:27===t?i.fg&=-67108865:28===t?i.fg&=-1073741825:29===t?i.fg&=2147483647:39===t?(i.fg&=-67108864,i.fg|=16777215&f.DEFAULT_ATTR_DATA.fg):49===t?(i.bg&=-67108864,i.bg|=16777215&f.DEFAULT_ATTR_DATA.bg):38===t||48===t||58===t?n+=this._extractColor(e,n,i):59===t?(i.extended=i.extended.clone(),i.extended.underlineColor=-1,i.updateExtended()):100===t?(i.fg&=-67108864,i.fg|=16777215&f.DEFAULT_ATTR_DATA.fg,i.bg&=-67108864,i.bg|=16777215&f.DEFAULT_ATTR_DATA.bg):this._logService.debug("Unknown SGR attribute: %d.",t);return!0},t.prototype.deviceStatus=function(e){switch(e.params[0]){case 5:this._coreService.triggerDataEvent(s.C0.ESC+"[0n");break;case 6:var t=this._activeBuffer.y+1,r=this._activeBuffer.x+1;this._coreService.triggerDataEvent(s.C0.ESC+"["+t+";"+r+"R")}return!0},t.prototype.deviceStatusPrivate=function(e){if(6===e.params[0]){var t=this._activeBuffer.y+1,r=this._activeBuffer.x+1;this._coreService.triggerDataEvent(s.C0.ESC+"[?"+t+";"+r+"R")}return!0},t.prototype.softReset=function(e){return this._coreService.isCursorHidden=!1,this._onRequestSyncScrollBar.fire(),this._activeBuffer.scrollTop=0,this._activeBuffer.scrollBottom=this._bufferService.rows-1,this._curAttrData=f.DEFAULT_ATTR_DATA.clone(),this._coreService.reset(),this._charsetService.reset(),this._activeBuffer.savedX=0,this._activeBuffer.savedY=this._activeBuffer.ybase,this._activeBuffer.savedCurAttrData.fg=this._curAttrData.fg,this._activeBuffer.savedCurAttrData.bg=this._curAttrData.bg,this._activeBuffer.savedCharset=this._charsetService.charset,this._coreService.decPrivateModes.origin=!1,!0},t.prototype.setCursorStyle=function(e){var t=e.params[0]||1;switch(t){case 1:case 2:this._optionsService.options.cursorStyle="block";break;case 3:case 4:this._optionsService.options.cursorStyle="underline";break;case 5:case 6:this._optionsService.options.cursorStyle="bar"}var r=t%2==1;return this._optionsService.options.cursorBlink=r,!0},t.prototype.setScrollRegion=function(e){var t,r=e.params[0]||1;return(e.length<2||(t=e.params[1])>this._bufferService.rows||0===t)&&(t=this._bufferService.rows),t>r&&(this._activeBuffer.scrollTop=r-1,this._activeBuffer.scrollBottom=t-1,this._setCursor(0,0)),!0},t.prototype.windowOptions=function(e){if(!w(e.params[0],this._optionsService.options.windowOptions))return!0;var t=e.length>1?e.params[1]:0;switch(e.params[0]){case 14:2!==t&&this._onRequestWindowsOptionsReport.fire(o.GET_WIN_SIZE_PIXELS);break;case 16:this._onRequestWindowsOptionsReport.fire(o.GET_CELL_SIZE_PIXELS);break;case 18:this._bufferService&&this._coreService.triggerDataEvent(s.C0.ESC+"[8;"+this._bufferService.rows+";"+this._bufferService.cols+"t");break;case 22:0!==t&&2!==t||(this._windowTitleStack.push(this._windowTitle),this._windowTitleStack.length>10&&this._windowTitleStack.shift()),0!==t&&1!==t||(this._iconNameStack.push(this._iconName),this._iconNameStack.length>10&&this._iconNameStack.shift());break;case 23:0!==t&&2!==t||this._windowTitleStack.length&&this.setTitle(this._windowTitleStack.pop()),0!==t&&1!==t||this._iconNameStack.length&&this.setIconName(this._iconNameStack.pop())}return!0},t.prototype.saveCursor=function(e){return this._activeBuffer.savedX=this._activeBuffer.x,this._activeBuffer.savedY=this._activeBuffer.ybase+this._activeBuffer.y,this._activeBuffer.savedCurAttrData.fg=this._curAttrData.fg,this._activeBuffer.savedCurAttrData.bg=this._curAttrData.bg,this._activeBuffer.savedCharset=this._charsetService.charset,!0},t.prototype.restoreCursor=function(e){return this._activeBuffer.x=this._activeBuffer.savedX||0,this._activeBuffer.y=Math.max(this._activeBuffer.savedY-this._activeBuffer.ybase,0),this._curAttrData.fg=this._activeBuffer.savedCurAttrData.fg,this._curAttrData.bg=this._activeBuffer.savedCurAttrData.bg,this._charsetService.charset=this._savedCharset,this._activeBuffer.savedCharset&&(this._charsetService.charset=this._activeBuffer.savedCharset),this._restrictCursor(),!0},t.prototype.setTitle=function(e){return this._windowTitle=e,this._onTitleChange.fire(e),!0},t.prototype.setIconName=function(e){return this._iconName=e,!0},t.prototype.setOrReportIndexedColor=function(e){for(var t=[],r=e.split(";");r.length>1;){var i=r.shift(),n=r.shift();if(/^\d+$/.exec(i)){var o=parseInt(i);if(0<=o&&o<256)if("?"===n)t.push({type:0,index:o});else{var s=(0,b.parseColor)(n);s&&t.push({type:1,index:o,color:s})}}}return t.length&&this._onColor.fire(t),!0},t.prototype._setOrReportSpecialColor=function(e,t){for(var r=e.split(";"),i=0;i<r.length&&!(t>=this._specialColors.length);++i,++t)if("?"===r[i])this._onColor.fire([{type:0,index:this._specialColors[t]}]);else{var n=(0,b.parseColor)(r[i]);n&&this._onColor.fire([{type:1,index:this._specialColors[t],color:n}])}return!0},t.prototype.setOrReportFgColor=function(e){return this._setOrReportSpecialColor(e,0)},t.prototype.setOrReportBgColor=function(e){return this._setOrReportSpecialColor(e,1)},t.prototype.setOrReportCursorColor=function(e){return this._setOrReportSpecialColor(e,2)},t.prototype.restoreIndexedColor=function(e){if(!e)return this._onColor.fire([{type:2}]),!0;for(var t=[],r=e.split(";"),i=0;i<r.length;++i)if(/^\d+$/.exec(r[i])){var n=parseInt(r[i]);0<=n&&n<256&&t.push({type:2,index:n})}return t.length&&this._onColor.fire(t),!0},t.prototype.restoreFgColor=function(e){return this._onColor.fire([{type:2,index:256}]),!0},t.prototype.restoreBgColor=function(e){return this._onColor.fire([{type:2,index:257}]),!0},t.prototype.restoreCursorColor=function(e){return this._onColor.fire([{type:2,index:258}]),!0},t.prototype.nextLine=function(){return this._activeBuffer.x=0,this.index(),!0},t.prototype.keypadApplicationMode=function(){return this._logService.debug("Serial port requested application keypad."),this._coreService.decPrivateModes.applicationKeypad=!0,this._onRequestSyncScrollBar.fire(),!0},t.prototype.keypadNumericMode=function(){return this._logService.debug("Switching back to normal keypad."),this._coreService.decPrivateModes.applicationKeypad=!1,this._onRequestSyncScrollBar.fire(),!0},t.prototype.selectDefaultCharset=function(){return this._charsetService.setgLevel(0),this._charsetService.setgCharset(0,a.DEFAULT_CHARSET),!0},t.prototype.selectCharset=function(e){return 2!==e.length?(this.selectDefaultCharset(),!0):("/"===e[0]||this._charsetService.setgCharset(S[e[0]],a.CHARSETS[e[1]]||a.DEFAULT_CHARSET),!0)},t.prototype.index=function(){return this._restrictCursor(),this._activeBuffer.y++,this._activeBuffer.y===this._activeBuffer.scrollBottom+1?(this._activeBuffer.y--,this._bufferService.scroll(this._eraseAttrData())):this._activeBuffer.y>=this._bufferService.rows&&(this._activeBuffer.y=this._bufferService.rows-1),this._restrictCursor(),!0},t.prototype.tabSet=function(){return this._activeBuffer.tabs[this._activeBuffer.x]=!0,!0},t.prototype.reverseIndex=function(){if(this._restrictCursor(),this._activeBuffer.y===this._activeBuffer.scrollTop){var e=this._activeBuffer.scrollBottom-this._activeBuffer.scrollTop;this._activeBuffer.lines.shiftElements(this._activeBuffer.ybase+this._activeBuffer.y,e,1),this._activeBuffer.lines.set(this._activeBuffer.ybase+this._activeBuffer.y,this._activeBuffer.getBlankLine(this._eraseAttrData())),this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom)}else this._activeBuffer.y--,this._restrictCursor();return!0},t.prototype.fullReset=function(){return this._parser.reset(),this._onRequestReset.fire(),!0},t.prototype.reset=function(){this._curAttrData=f.DEFAULT_ATTR_DATA.clone(),this._eraseAttrDataInternal=f.DEFAULT_ATTR_DATA.clone()},t.prototype._eraseAttrData=function(){return this._eraseAttrDataInternal.bg&=-67108864,this._eraseAttrDataInternal.bg|=67108863&this._curAttrData.bg,this._eraseAttrDataInternal},t.prototype.setgLevel=function(e){return this._charsetService.setgLevel(e),!0},t.prototype.screenAlignmentPattern=function(){var e=new p.CellData;e.content=1<<22|"E".charCodeAt(0),e.fg=this._curAttrData.fg,e.bg=this._curAttrData.bg,this._setCursor(0,0);for(var t=0;t<this._bufferService.rows;++t){var r=this._activeBuffer.ybase+this._activeBuffer.y+t,i=this._activeBuffer.lines.get(r);i&&(i.fill(e),i.isWrapped=!1)}return this._dirtyRowService.markAllDirty(),this._setCursor(0,0),!0},t}(l.Disposable);t.InputHandler=E},844:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.getDisposeArrayDisposable=t.disposeArray=t.Disposable=void 0;var r=function(){function e(){this._disposables=[],this._isDisposed=!1}return e.prototype.dispose=function(){this._isDisposed=!0;for(var e=0,t=this._disposables;e<t.length;e++)t[e].dispose();this._disposables.length=0},e.prototype.register=function(e){return this._disposables.push(e),e},e.prototype.unregister=function(e){var t=this._disposables.indexOf(e);-1!==t&&this._disposables.splice(t,1)},e}();function i(e){for(var t=0,r=e;t<r.length;t++)r[t].dispose();e.length=0}t.Disposable=r,t.disposeArray=i,t.getDisposeArrayDisposable=function(e){return{dispose:function(){return i(e)}}}},6114:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.isLinux=t.isWindows=t.isIphone=t.isIpad=t.isMac=t.isSafari=t.isFirefox=void 0;var r="undefined"==typeof navigator,i=r?"node":navigator.userAgent,n=r?"node":navigator.platform;t.isFirefox=i.includes("Firefox"),t.isSafari=/^((?!chrome|android).)*safari/i.test(i),t.isMac=["Macintosh","MacIntel","MacPPC","Mac68K"].includes(n),t.isIpad="iPad"===n,t.isIphone="iPhone"===n,t.isWindows=["Windows","Win16","Win32","WinCE"].includes(n),t.isLinux=n.indexOf("Linux")>=0},8273:(e,t)=>{function r(e,t,r,i){if(void 0===r&&(r=0),void 0===i&&(i=e.length),r>=e.length)return e;r=(e.length+r)%e.length,i=i>=e.length?e.length:(e.length+i)%e.length;for(var n=r;n<i;++n)e[n]=t;return e}Object.defineProperty(t,"__esModule",{value:!0}),t.concat=t.fillFallback=t.fill=void 0,t.fill=function(e,t,i,n){return e.fill?e.fill(t,i,n):r(e,t,i,n)},t.fillFallback=r,t.concat=function(e,t){var r=new e.constructor(e.length+t.length);return r.set(e),r.set(t,e.length),r}},9282:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.updateWindowsModeWrappedState=void 0;var i=r(643);t.updateWindowsModeWrappedState=function(e){var t=e.buffer.lines.get(e.buffer.ybase+e.buffer.y-1),r=null==t?void 0:t.get(e.cols-1),n=e.buffer.lines.get(e.buffer.ybase+e.buffer.y);n&&r&&(n.isWrapped=r[i.CHAR_DATA_CODE_INDEX]!==i.NULL_CELL_CODE&&r[i.CHAR_DATA_CODE_INDEX]!==i.WHITESPACE_CELL_CODE)}},3734:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.ExtendedAttrs=t.AttributeData=void 0;var r=function(){function e(){this.fg=0,this.bg=0,this.extended=new i}return e.toColorRGB=function(e){return[e>>>16&255,e>>>8&255,255&e]},e.fromColorRGB=function(e){return(255&e[0])<<16|(255&e[1])<<8|255&e[2]},e.prototype.clone=function(){var t=new e;return t.fg=this.fg,t.bg=this.bg,t.extended=this.extended.clone(),t},e.prototype.isInverse=function(){return 67108864&this.fg},e.prototype.isBold=function(){return 134217728&this.fg},e.prototype.isUnderline=function(){return 268435456&this.fg},e.prototype.isBlink=function(){return 536870912&this.fg},e.prototype.isInvisible=function(){return 1073741824&this.fg},e.prototype.isItalic=function(){return 67108864&this.bg},e.prototype.isDim=function(){return 134217728&this.bg},e.prototype.isStrikethrough=function(){return 2147483648&this.fg},e.prototype.getFgColorMode=function(){return 50331648&this.fg},e.prototype.getBgColorMode=function(){return 50331648&this.bg},e.prototype.isFgRGB=function(){return 50331648==(50331648&this.fg)},e.prototype.isBgRGB=function(){return 50331648==(50331648&this.bg)},e.prototype.isFgPalette=function(){return 16777216==(50331648&this.fg)||33554432==(50331648&this.fg)},e.prototype.isBgPalette=function(){return 16777216==(50331648&this.bg)||33554432==(50331648&this.bg)},e.prototype.isFgDefault=function(){return 0==(50331648&this.fg)},e.prototype.isBgDefault=function(){return 0==(50331648&this.bg)},e.prototype.isAttributeDefault=function(){return 0===this.fg&&0===this.bg},e.prototype.getFgColor=function(){switch(50331648&this.fg){case 16777216:case 33554432:return 255&this.fg;case 50331648:return 16777215&this.fg;default:return-1}},e.prototype.getBgColor=function(){switch(50331648&this.bg){case 16777216:case 33554432:return 255&this.bg;case 50331648:return 16777215&this.bg;default:return-1}},e.prototype.hasExtendedAttrs=function(){return 268435456&this.bg},e.prototype.updateExtended=function(){this.extended.isEmpty()?this.bg&=-268435457:this.bg|=268435456},e.prototype.getUnderlineColor=function(){if(268435456&this.bg&&~this.extended.underlineColor)switch(50331648&this.extended.underlineColor){case 16777216:case 33554432:return 255&this.extended.underlineColor;case 50331648:return 16777215&this.extended.underlineColor;default:return this.getFgColor()}return this.getFgColor()},e.prototype.getUnderlineColorMode=function(){return 268435456&this.bg&&~this.extended.underlineColor?50331648&this.extended.underlineColor:this.getFgColorMode()},e.prototype.isUnderlineColorRGB=function(){return 268435456&this.bg&&~this.extended.underlineColor?50331648==(50331648&this.extended.underlineColor):this.isFgRGB()},e.prototype.isUnderlineColorPalette=function(){return 268435456&this.bg&&~this.extended.underlineColor?16777216==(50331648&this.extended.underlineColor)||33554432==(50331648&this.extended.underlineColor):this.isFgPalette()},e.prototype.isUnderlineColorDefault=function(){return 268435456&this.bg&&~this.extended.underlineColor?0==(50331648&this.extended.underlineColor):this.isFgDefault()},e.prototype.getUnderlineStyle=function(){return 268435456&this.fg?268435456&this.bg?this.extended.underlineStyle:1:0},e}();t.AttributeData=r;var i=function(){function e(e,t){void 0===e&&(e=0),void 0===t&&(t=-1),this.underlineStyle=e,this.underlineColor=t}return e.prototype.clone=function(){return new e(this.underlineStyle,this.underlineColor)},e.prototype.isEmpty=function(){return 0===this.underlineStyle},e}();t.ExtendedAttrs=i},9092:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.BufferStringIterator=t.Buffer=t.MAX_BUFFER_SIZE=void 0;var i=r(6349),n=r(8437),o=r(511),s=r(643),a=r(4634),c=r(4863),l=r(7116),u=r(3734);t.MAX_BUFFER_SIZE=4294967295;var h=function(){function e(e,t,r){this._hasScrollback=e,this._optionsService=t,this._bufferService=r,this.ydisp=0,this.ybase=0,this.y=0,this.x=0,this.savedY=0,this.savedX=0,this.savedCurAttrData=n.DEFAULT_ATTR_DATA.clone(),this.savedCharset=l.DEFAULT_CHARSET,this.markers=[],this._nullCell=o.CellData.fromCharData([0,s.NULL_CELL_CHAR,s.NULL_CELL_WIDTH,s.NULL_CELL_CODE]),this._whitespaceCell=o.CellData.fromCharData([0,s.WHITESPACE_CELL_CHAR,s.WHITESPACE_CELL_WIDTH,s.WHITESPACE_CELL_CODE]),this._cols=this._bufferService.cols,this._rows=this._bufferService.rows,this.lines=new i.CircularList(this._getCorrectBufferLength(this._rows)),this.scrollTop=0,this.scrollBottom=this._rows-1,this.setupTabStops()}return e.prototype.getNullCell=function(e){return e?(this._nullCell.fg=e.fg,this._nullCell.bg=e.bg,this._nullCell.extended=e.extended):(this._nullCell.fg=0,this._nullCell.bg=0,this._nullCell.extended=new u.ExtendedAttrs),this._nullCell},e.prototype.getWhitespaceCell=function(e){return e?(this._whitespaceCell.fg=e.fg,this._whitespaceCell.bg=e.bg,this._whitespaceCell.extended=e.extended):(this._whitespaceCell.fg=0,this._whitespaceCell.bg=0,this._whitespaceCell.extended=new u.ExtendedAttrs),this._whitespaceCell},e.prototype.getBlankLine=function(e,t){return new n.BufferLine(this._bufferService.cols,this.getNullCell(e),t)},Object.defineProperty(e.prototype,"hasScrollback",{get:function(){return this._hasScrollback&&this.lines.maxLength>this._rows},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"isCursorInViewport",{get:function(){var e=this.ybase+this.y-this.ydisp;return e>=0&&e<this._rows},enumerable:!1,configurable:!0}),e.prototype._getCorrectBufferLength=function(e){if(!this._hasScrollback)return e;var r=e+this._optionsService.options.scrollback;return r>t.MAX_BUFFER_SIZE?t.MAX_BUFFER_SIZE:r},e.prototype.fillViewportRows=function(e){if(0===this.lines.length){void 0===e&&(e=n.DEFAULT_ATTR_DATA);for(var t=this._rows;t--;)this.lines.push(this.getBlankLine(e))}},e.prototype.clear=function(){this.ydisp=0,this.ybase=0,this.y=0,this.x=0,this.lines=new i.CircularList(this._getCorrectBufferLength(this._rows)),this.scrollTop=0,this.scrollBottom=this._rows-1,this.setupTabStops()},e.prototype.resize=function(e,t){var r=this.getNullCell(n.DEFAULT_ATTR_DATA),i=this._getCorrectBufferLength(t);if(i>this.lines.maxLength&&(this.lines.maxLength=i),this.lines.length>0){if(this._cols<e)for(var o=0;o<this.lines.length;o++)this.lines.get(o).resize(e,r);var s=0;if(this._rows<t)for(var a=this._rows;a<t;a++)this.lines.length<t+this.ybase&&(this._optionsService.options.windowsMode?this.lines.push(new n.BufferLine(e,r)):this.ybase>0&&this.lines.length<=this.ybase+this.y+s+1?(this.ybase--,s++,this.ydisp>0&&this.ydisp--):this.lines.push(new n.BufferLine(e,r)));else for(a=this._rows;a>t;a--)this.lines.length>t+this.ybase&&(this.lines.length>this.ybase+this.y+1?this.lines.pop():(this.ybase++,this.ydisp++));if(i<this.lines.maxLength){var c=this.lines.length-i;c>0&&(this.lines.trimStart(c),this.ybase=Math.max(this.ybase-c,0),this.ydisp=Math.max(this.ydisp-c,0),this.savedY=Math.max(this.savedY-c,0)),this.lines.maxLength=i}this.x=Math.min(this.x,e-1),this.y=Math.min(this.y,t-1),s&&(this.y+=s),this.savedX=Math.min(this.savedX,e-1),this.scrollTop=0}if(this.scrollBottom=t-1,this._isReflowEnabled&&(this._reflow(e,t),this._cols>e))for(o=0;o<this.lines.length;o++)this.lines.get(o).resize(e,r);this._cols=e,this._rows=t},Object.defineProperty(e.prototype,"_isReflowEnabled",{get:function(){return this._hasScrollback&&!this._optionsService.options.windowsMode},enumerable:!1,configurable:!0}),e.prototype._reflow=function(e,t){this._cols!==e&&(e>this._cols?this._reflowLarger(e,t):this._reflowSmaller(e,t))},e.prototype._reflowLarger=function(e,t){var r=(0,a.reflowLargerGetLinesToRemove)(this.lines,this._cols,e,this.ybase+this.y,this.getNullCell(n.DEFAULT_ATTR_DATA));if(r.length>0){var i=(0,a.reflowLargerCreateNewLayout)(this.lines,r);(0,a.reflowLargerApplyNewLayout)(this.lines,i.layout),this._reflowLargerAdjustViewport(e,t,i.countRemoved)}},e.prototype._reflowLargerAdjustViewport=function(e,t,r){for(var i=this.getNullCell(n.DEFAULT_ATTR_DATA),o=r;o-- >0;)0===this.ybase?(this.y>0&&this.y--,this.lines.length<t&&this.lines.push(new n.BufferLine(e,i))):(this.ydisp===this.ybase&&this.ydisp--,this.ybase--);this.savedY=Math.max(this.savedY-r,0)},e.prototype._reflowSmaller=function(e,t){for(var r=this.getNullCell(n.DEFAULT_ATTR_DATA),i=[],o=0,s=this.lines.length-1;s>=0;s--){var c=this.lines.get(s);if(!(!c||!c.isWrapped&&c.getTrimmedLength()<=e)){for(var l=[c];c.isWrapped&&s>0;)c=this.lines.get(--s),l.unshift(c);var u=this.ybase+this.y;if(!(u>=s&&u<s+l.length)){var h,f=l[l.length-1].getTrimmedLength(),_=(0,a.reflowSmallerGetNewLineLengths)(l,this._cols,e),d=_.length-l.length;h=0===this.ybase&&this.y!==this.lines.length-1?Math.max(0,this.y-this.lines.maxLength+d):Math.max(0,this.lines.length-this.lines.maxLength+d);for(var p=[],v=0;v<d;v++){var g=this.getBlankLine(n.DEFAULT_ATTR_DATA,!0);p.push(g)}p.length>0&&(i.push({start:s+l.length+o,newLines:p}),o+=p.length),l.push.apply(l,p);var y=_.length-1,m=_[y];0===m&&(m=_[--y]);for(var b=l.length-d-1,S=f;b>=0;){var C=Math.min(S,m);if(l[y].copyCellsFrom(l[b],S-C,m-C,C,!0),0==(m-=C)&&(m=_[--y]),0==(S-=C)){b--;var w=Math.max(b,0);S=(0,a.getWrappedLineTrimmedLength)(l,w,this._cols)}}for(v=0;v<l.length;v++)_[v]<e&&l[v].setCell(_[v],r);for(var L=d-h;L-- >0;)0===this.ybase?this.y<t-1?(this.y++,this.lines.pop()):(this.ybase++,this.ydisp++):this.ybase<Math.min(this.lines.maxLength,this.lines.length+o)-t&&(this.ybase===this.ydisp&&this.ydisp++,this.ybase++);this.savedY=Math.min(this.savedY+d,this.ybase+t-1)}}}if(i.length>0){var E=[],x=[];for(v=0;v<this.lines.length;v++)x.push(this.lines.get(v));var A=this.lines.length,k=A-1,M=0,R=i[M];this.lines.length=Math.min(this.lines.maxLength,this.lines.length+o);var T=0;for(v=Math.min(this.lines.maxLength-1,A+o-1);v>=0;v--)if(R&&R.start>k+T){for(var O=R.newLines.length-1;O>=0;O--)this.lines.set(v--,R.newLines[O]);v++,E.push({index:k+1,amount:R.newLines.length}),T+=R.newLines.length,R=i[++M]}else this.lines.set(v,x[k--]);var B=0;for(v=E.length-1;v>=0;v--)E[v].index+=B,this.lines.onInsertEmitter.fire(E[v]),B+=E[v].amount;var D=Math.max(0,A+o-this.lines.maxLength);D>0&&this.lines.onTrimEmitter.fire(D)}},e.prototype.stringIndexToBufferIndex=function(e,t,r){for(void 0===r&&(r=!1);t;){var i=this.lines.get(e);if(!i)return[-1,-1];for(var n=r?i.getTrimmedLength():i.length,o=0;o<n;++o)if(i.get(o)[s.CHAR_DATA_WIDTH_INDEX]&&(t-=i.get(o)[s.CHAR_DATA_CHAR_INDEX].length||1),t<0)return[e,o];e++}return[e,0]},e.prototype.translateBufferLineToString=function(e,t,r,i){void 0===r&&(r=0);var n=this.lines.get(e);return n?n.translateToString(t,r,i):""},e.prototype.getWrappedRangeForLine=function(e){for(var t=e,r=e;t>0&&this.lines.get(t).isWrapped;)t--;for(;r+1<this.lines.length&&this.lines.get(r+1).isWrapped;)r++;return{first:t,last:r}},e.prototype.setupTabStops=function(e){for(null!=e?this.tabs[e]||(e=this.prevStop(e)):(this.tabs={},e=0);e<this._cols;e+=this._optionsService.options.tabStopWidth)this.tabs[e]=!0},e.prototype.prevStop=function(e){for(null==e&&(e=this.x);!this.tabs[--e]&&e>0;);return e>=this._cols?this._cols-1:e<0?0:e},e.prototype.nextStop=function(e){for(null==e&&(e=this.x);!this.tabs[++e]&&e<this._cols;);return e>=this._cols?this._cols-1:e<0?0:e},e.prototype.addMarker=function(e){var t=this,r=new c.Marker(e);return this.markers.push(r),r.register(this.lines.onTrim((function(e){r.line-=e,r.line<0&&r.dispose()}))),r.register(this.lines.onInsert((function(e){r.line>=e.index&&(r.line+=e.amount)}))),r.register(this.lines.onDelete((function(e){r.line>=e.index&&r.line<e.index+e.amount&&r.dispose(),r.line>e.index&&(r.line-=e.amount)}))),r.register(r.onDispose((function(){return t._removeMarker(r)}))),r},e.prototype._removeMarker=function(e){this.markers.splice(this.markers.indexOf(e),1)},e.prototype.iterator=function(e,t,r,i,n){return new f(this,e,t,r,i,n)},e}();t.Buffer=h;var f=function(){function e(e,t,r,i,n,o){void 0===r&&(r=0),void 0===i&&(i=e.lines.length),void 0===n&&(n=0),void 0===o&&(o=0),this._buffer=e,this._trimRight=t,this._startIndex=r,this._endIndex=i,this._startOverscan=n,this._endOverscan=o,this._startIndex<0&&(this._startIndex=0),this._endIndex>this._buffer.lines.length&&(this._endIndex=this._buffer.lines.length),this._current=this._startIndex}return e.prototype.hasNext=function(){return this._current<this._endIndex},e.prototype.next=function(){var e=this._buffer.getWrappedRangeForLine(this._current);e.first<this._startIndex-this._startOverscan&&(e.first=this._startIndex-this._startOverscan),e.last>this._endIndex+this._endOverscan&&(e.last=this._endIndex+this._endOverscan),e.first=Math.max(e.first,0),e.last=Math.min(e.last,this._buffer.lines.length);for(var t="",r=e.first;r<=e.last;++r)t+=this._buffer.translateBufferLineToString(r,this._trimRight);return this._current=e.last+1,{range:e,content:t}},e}();t.BufferStringIterator=f},8437:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.BufferLine=t.DEFAULT_ATTR_DATA=void 0;var i=r(482),n=r(643),o=r(511),s=r(3734);t.DEFAULT_ATTR_DATA=Object.freeze(new s.AttributeData);var a=function(){function e(e,t,r){void 0===r&&(r=!1),this.isWrapped=r,this._combined={},this._extendedAttrs={},this._data=new Uint32Array(3*e);for(var i=t||o.CellData.fromCharData([0,n.NULL_CELL_CHAR,n.NULL_CELL_WIDTH,n.NULL_CELL_CODE]),s=0;s<e;++s)this.setCell(s,i);this.length=e}return e.prototype.get=function(e){var t=this._data[3*e+0],r=2097151&t;return[this._data[3*e+1],2097152&t?this._combined[e]:r?(0,i.stringFromCodePoint)(r):"",t>>22,2097152&t?this._combined[e].charCodeAt(this._combined[e].length-1):r]},e.prototype.set=function(e,t){this._data[3*e+1]=t[n.CHAR_DATA_ATTR_INDEX],t[n.CHAR_DATA_CHAR_INDEX].length>1?(this._combined[e]=t[1],this._data[3*e+0]=2097152|e|t[n.CHAR_DATA_WIDTH_INDEX]<<22):this._data[3*e+0]=t[n.CHAR_DATA_CHAR_INDEX].charCodeAt(0)|t[n.CHAR_DATA_WIDTH_INDEX]<<22},e.prototype.getWidth=function(e){return this._data[3*e+0]>>22},e.prototype.hasWidth=function(e){return 12582912&this._data[3*e+0]},e.prototype.getFg=function(e){return this._data[3*e+1]},e.prototype.getBg=function(e){return this._data[3*e+2]},e.prototype.hasContent=function(e){return 4194303&this._data[3*e+0]},e.prototype.getCodePoint=function(e){var t=this._data[3*e+0];return 2097152&t?this._combined[e].charCodeAt(this._combined[e].length-1):2097151&t},e.prototype.isCombined=function(e){return 2097152&this._data[3*e+0]},e.prototype.getString=function(e){var t=this._data[3*e+0];return 2097152&t?this._combined[e]:2097151&t?(0,i.stringFromCodePoint)(2097151&t):""},e.prototype.loadCell=function(e,t){var r=3*e;return t.content=this._data[r+0],t.fg=this._data[r+1],t.bg=this._data[r+2],2097152&t.content&&(t.combinedData=this._combined[e]),268435456&t.bg&&(t.extended=this._extendedAttrs[e]),t},e.prototype.setCell=function(e,t){2097152&t.content&&(this._combined[e]=t.combinedData),268435456&t.bg&&(this._extendedAttrs[e]=t.extended),this._data[3*e+0]=t.content,this._data[3*e+1]=t.fg,this._data[3*e+2]=t.bg},e.prototype.setCellFromCodePoint=function(e,t,r,i,n,o){268435456&n&&(this._extendedAttrs[e]=o),this._data[3*e+0]=t|r<<22,this._data[3*e+1]=i,this._data[3*e+2]=n},e.prototype.addCodepointToCell=function(e,t){var r=this._data[3*e+0];2097152&r?this._combined[e]+=(0,i.stringFromCodePoint)(t):(2097151&r?(this._combined[e]=(0,i.stringFromCodePoint)(2097151&r)+(0,i.stringFromCodePoint)(t),r&=-2097152,r|=2097152):r=t|1<<22,this._data[3*e+0]=r)},e.prototype.insertCells=function(e,t,r,i){if((e%=this.length)&&2===this.getWidth(e-1)&&this.setCellFromCodePoint(e-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs),t<this.length-e){for(var n=new o.CellData,a=this.length-e-t-1;a>=0;--a)this.setCell(e+t+a,this.loadCell(e+a,n));for(a=0;a<t;++a)this.setCell(e+a,r)}else for(a=e;a<this.length;++a)this.setCell(a,r);2===this.getWidth(this.length-1)&&this.setCellFromCodePoint(this.length-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs)},e.prototype.deleteCells=function(e,t,r,i){if(e%=this.length,t<this.length-e){for(var n=new o.CellData,a=0;a<this.length-e-t;++a)this.setCell(e+a,this.loadCell(e+t+a,n));for(a=this.length-t;a<this.length;++a)this.setCell(a,r)}else for(a=e;a<this.length;++a)this.setCell(a,r);e&&2===this.getWidth(e-1)&&this.setCellFromCodePoint(e-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs),0!==this.getWidth(e)||this.hasContent(e)||this.setCellFromCodePoint(e,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs)},e.prototype.replaceCells=function(e,t,r,i){for(e&&2===this.getWidth(e-1)&&this.setCellFromCodePoint(e-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs),t<this.length&&2===this.getWidth(t-1)&&this.setCellFromCodePoint(t,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs);e<t&&e<this.length;)this.setCell(e++,r)},e.prototype.resize=function(e,t){if(e!==this.length){if(e>this.length){var r=new Uint32Array(3*e);this.length&&(3*e<this._data.length?r.set(this._data.subarray(0,3*e)):r.set(this._data)),this._data=r;for(var i=this.length;i<e;++i)this.setCell(i,t)}else if(e){(r=new Uint32Array(3*e)).set(this._data.subarray(0,3*e)),this._data=r;var n=Object.keys(this._combined);for(i=0;i<n.length;i++){var o=parseInt(n[i],10);o>=e&&delete this._combined[o]}}else this._data=new Uint32Array(0),this._combined={};this.length=e}},e.prototype.fill=function(e){this._combined={},this._extendedAttrs={};for(var t=0;t<this.length;++t)this.setCell(t,e)},e.prototype.copyFrom=function(e){for(var t in this.length!==e.length?this._data=new Uint32Array(e._data):this._data.set(e._data),this.length=e.length,this._combined={},e._combined)this._combined[t]=e._combined[t];for(var t in this._extendedAttrs={},e._extendedAttrs)this._extendedAttrs[t]=e._extendedAttrs[t];this.isWrapped=e.isWrapped},e.prototype.clone=function(){var t=new e(0);for(var r in t._data=new Uint32Array(this._data),t.length=this.length,this._combined)t._combined[r]=this._combined[r];for(var r in this._extendedAttrs)t._extendedAttrs[r]=this._extendedAttrs[r];return t.isWrapped=this.isWrapped,t},e.prototype.getTrimmedLength=function(){for(var e=this.length-1;e>=0;--e)if(4194303&this._data[3*e+0])return e+(this._data[3*e+0]>>22);return 0},e.prototype.copyCellsFrom=function(e,t,r,i,n){var o=e._data;if(n)for(var s=i-1;s>=0;s--)for(var a=0;a<3;a++)this._data[3*(r+s)+a]=o[3*(t+s)+a];else for(s=0;s<i;s++)for(a=0;a<3;a++)this._data[3*(r+s)+a]=o[3*(t+s)+a];var c=Object.keys(e._combined);for(a=0;a<c.length;a++){var l=parseInt(c[a],10);l>=t&&(this._combined[l-t+r]=e._combined[l])}},e.prototype.translateToString=function(e,t,r){void 0===e&&(e=!1),void 0===t&&(t=0),void 0===r&&(r=this.length),e&&(r=Math.min(r,this.getTrimmedLength()));for(var o="";t<r;){var s=this._data[3*t+0],a=2097151&s;o+=2097152&s?this._combined[t]:a?(0,i.stringFromCodePoint)(a):n.WHITESPACE_CELL_CHAR,t+=s>>22||1}return o},e}();t.BufferLine=a},4841:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.getRangeLength=void 0,t.getRangeLength=function(e,t){if(e.start.y>e.end.y)throw new Error("Buffer range end ("+e.end.x+", "+e.end.y+") cannot be before start ("+e.start.x+", "+e.start.y+")");return t*(e.end.y-e.start.y)+(e.end.x-e.start.x+1)}},4634:(e,t)=>{function r(e,t,r){if(t===e.length-1)return e[t].getTrimmedLength();var i=!e[t].hasContent(r-1)&&1===e[t].getWidth(r-1),n=2===e[t+1].getWidth(0);return i&&n?r-1:r}Object.defineProperty(t,"__esModule",{value:!0}),t.getWrappedLineTrimmedLength=t.reflowSmallerGetNewLineLengths=t.reflowLargerApplyNewLayout=t.reflowLargerCreateNewLayout=t.reflowLargerGetLinesToRemove=void 0,t.reflowLargerGetLinesToRemove=function(e,t,i,n,o){for(var s=[],a=0;a<e.length-1;a++){var c=a,l=e.get(++c);if(l.isWrapped){for(var u=[e.get(a)];c<e.length&&l.isWrapped;)u.push(l),l=e.get(++c);if(n>=a&&n<c)a+=u.length-1;else{for(var h=0,f=r(u,h,t),_=1,d=0;_<u.length;){var p=r(u,_,t),v=p-d,g=i-f,y=Math.min(v,g);u[h].copyCellsFrom(u[_],d,f,y,!1),(f+=y)===i&&(h++,f=0),(d+=y)===p&&(_++,d=0),0===f&&0!==h&&2===u[h-1].getWidth(i-1)&&(u[h].copyCellsFrom(u[h-1],i-1,f++,1,!1),u[h-1].setCell(i-1,o))}u[h].replaceCells(f,i,o);for(var m=0,b=u.length-1;b>0&&(b>h||0===u[b].getTrimmedLength());b--)m++;m>0&&(s.push(a+u.length-m),s.push(m)),a+=u.length-1}}}return s},t.reflowLargerCreateNewLayout=function(e,t){for(var r=[],i=0,n=t[i],o=0,s=0;s<e.length;s++)if(n===s){var a=t[++i];e.onDeleteEmitter.fire({index:s-o,amount:a}),s+=a-1,o+=a,n=t[++i]}else r.push(s);return{layout:r,countRemoved:o}},t.reflowLargerApplyNewLayout=function(e,t){for(var r=[],i=0;i<t.length;i++)r.push(e.get(t[i]));for(i=0;i<r.length;i++)e.set(i,r[i]);e.length=t.length},t.reflowSmallerGetNewLineLengths=function(e,t,i){for(var n=[],o=e.map((function(i,n){return r(e,n,t)})).reduce((function(e,t){return e+t})),s=0,a=0,c=0;c<o;){if(o-c<i){n.push(o-c);break}s+=i;var l=r(e,a,t);s>l&&(s-=l,a++);var u=2===e[a].getWidth(s-1);u&&s--;var h=u?i-1:i;n.push(h),c+=h}return n},t.getWrappedLineTrimmedLength=r},5295:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.BufferSet=void 0;var o=r(9092),s=r(8460),a=function(e){function t(t,r){var i=e.call(this)||this;return i._optionsService=t,i._bufferService=r,i._onBufferActivate=i.register(new s.EventEmitter),i.reset(),i}return n(t,e),Object.defineProperty(t.prototype,"onBufferActivate",{get:function(){return this._onBufferActivate.event},enumerable:!1,configurable:!0}),t.prototype.reset=function(){this._normal=new o.Buffer(!0,this._optionsService,this._bufferService),this._normal.fillViewportRows(),this._alt=new o.Buffer(!1,this._optionsService,this._bufferService),this._activeBuffer=this._normal,this._onBufferActivate.fire({activeBuffer:this._normal,inactiveBuffer:this._alt}),this.setupTabStops()},Object.defineProperty(t.prototype,"alt",{get:function(){return this._alt},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"active",{get:function(){return this._activeBuffer},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"normal",{get:function(){return this._normal},enumerable:!1,configurable:!0}),t.prototype.activateNormalBuffer=function(){this._activeBuffer!==this._normal&&(this._normal.x=this._alt.x,this._normal.y=this._alt.y,this._alt.clear(),this._activeBuffer=this._normal,this._onBufferActivate.fire({activeBuffer:this._normal,inactiveBuffer:this._alt}))},t.prototype.activateAltBuffer=function(e){this._activeBuffer!==this._alt&&(this._alt.fillViewportRows(e),this._alt.x=this._normal.x,this._alt.y=this._normal.y,this._activeBuffer=this._alt,this._onBufferActivate.fire({activeBuffer:this._alt,inactiveBuffer:this._normal}))},t.prototype.resize=function(e,t){this._normal.resize(e,t),this._alt.resize(e,t)},t.prototype.setupTabStops=function(e){this._normal.setupTabStops(e),this._alt.setupTabStops(e)},t}(r(844).Disposable);t.BufferSet=a},511:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in 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n=e||Date.now();this._writeBuffer.length>this._bufferOffset;){var o=this._writeBuffer[this._bufferOffset],s=this._action(o,t);if(s)return void s.catch((function(e){return r((function(){throw e})),Promise.resolve(!1)})).then((function(e){return Date.now()-n>=12?setTimeout((function(){return i._innerWrite(0,e)})):i._innerWrite(n,e)}));var a=this._callbacks[this._bufferOffset];if(a&&a(),this._bufferOffset++,this._pendingData-=o.length,Date.now()-n>=12)break}this._writeBuffer.length>this._bufferOffset?(this._bufferOffset>50&&(this._writeBuffer=this._writeBuffer.slice(this._bufferOffset),this._callbacks=this._callbacks.slice(this._bufferOffset),this._bufferOffset=0),setTimeout((function(){return i._innerWrite()}))):(this._writeBuffer.length=0,this._callbacks.length=0,this._pendingData=0,this._bufferOffset=0)},e}();t.WriteBuffer=i},5941:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.toRgbString=t.parseColor=void 0;var r=/^([\da-f]{1})\/([\da-f]{1})\/([\da-f]{1})$|^([\da-f]{2})\/([\da-f]{2})\/([\da-f]{2})$|^([\da-f]{3})\/([\da-f]{3})\/([\da-f]{3})$|^([\da-f]{4})\/([\da-f]{4})\/([\da-f]{4})$/,i=/^[\da-f]+$/;function n(e,t){var r=e.toString(16),i=r.length<2?"0"+r:r;switch(t){case 4:return r[0];case 8:return i;case 12:return(i+i).slice(0,3);default:return i+i}}t.parseColor=function(e){if(e){var t=e.toLowerCase();if(0===t.indexOf("rgb:")){t=t.slice(4);var n=r.exec(t);if(n){var o=n[1]?15:n[4]?255:n[7]?4095:65535;return[Math.round(parseInt(n[1]||n[4]||n[7]||n[10],16)/o*255),Math.round(parseInt(n[2]||n[5]||n[8]||n[11],16)/o*255),Math.round(parseInt(n[3]||n[6]||n[9]||n[12],16)/o*255)]}}else if(0===t.indexOf("#")&&(t=t.slice(1),i.exec(t)&&[3,6,9,12].includes(t.length))){for(var s=t.length/3,a=[0,0,0],c=0;c<3;++c){var l=parseInt(t.slice(s*c,s*c+s),16);a[c]=1===s?l<<4:2===s?l:3===s?l>>4:l>>8}return a}}},t.toRgbString=function(e,t){void 0===t&&(t=16);var r=e[0],i=e[1],o=e[2];return"rgb:"+n(r,t)+"/"+n(i,t)+"/"+n(o,t)}},5770:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.PAYLOAD_LIMIT=void 0,t.PAYLOAD_LIMIT=1e7},6351:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.DcsHandler=t.DcsParser=void 0;var i=r(482),n=r(8742),o=r(5770),s=[],a=function(){function e(){this._handlers=Object.create(null),this._active=s,this._ident=0,this._handlerFb=function(){},this._stack={paused:!1,loopPosition:0,fallThrough:!1}}return e.prototype.dispose=function(){this._handlers=Object.create(null),this._handlerFb=function(){},this._active=s},e.prototype.registerHandler=function(e,t){void 0===this._handlers[e]&&(this._handlers[e]=[]);var r=this._handlers[e];return r.push(t),{dispose:function(){var e=r.indexOf(t);-1!==e&&r.splice(e,1)}}},e.prototype.clearHandler=function(e){this._handlers[e]&&delete this._handlers[e]},e.prototype.setHandlerFallback=function(e){this._handlerFb=e},e.prototype.reset=function(){if(this._active.length)for(var e=this._stack.paused?this._stack.loopPosition-1:this._active.length-1;e>=0;--e)this._active[e].unhook(!1);this._stack.paused=!1,this._active=s,this._ident=0},e.prototype.hook=function(e,t){if(this.reset(),this._ident=e,this._active=this._handlers[e]||s,this._active.length)for(var r=this._active.length-1;r>=0;r--)this._active[r].hook(t);else this._handlerFb(this._ident,"HOOK",t)},e.prototype.put=function(e,t,r){if(this._active.length)for(var n=this._active.length-1;n>=0;n--)this._active[n].put(e,t,r);else this._handlerFb(this._ident,"PUT",(0,i.utf32ToString)(e,t,r))},e.prototype.unhook=function(e,t){if(void 0===t&&(t=!0),this._active.length){var r=!1,i=this._active.length-1,n=!1;if(this._stack.paused&&(i=this._stack.loopPosition-1,r=t,n=this._stack.fallThrough,this._stack.paused=!1),!n&&!1===r){for(;i>=0&&!0!==(r=this._active[i].unhook(e));i--)if(r instanceof Promise)return 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this._params=c,this._data="",this._hitLimit=!1,r},e}();t.DcsHandler=l},2015:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.EscapeSequenceParser=t.VT500_TRANSITION_TABLE=t.TransitionTable=void 0;var o=r(844),s=r(8273),a=r(8742),c=r(6242),l=r(6351),u=function(){function e(e){this.table=new Uint8Array(e)}return e.prototype.setDefault=function(e,t){(0,s.fill)(this.table,e<<4|t)},e.prototype.add=function(e,t,r,i){this.table[t<<8|e]=r<<4|i},e.prototype.addMany=function(e,t,r,i){for(var n=0;n<e.length;n++)this.table[t<<8|e[n]]=r<<4|i},e}();t.TransitionTable=u;var h=160;t.VT500_TRANSITION_TABLE=function(){var e=new u(4095),t=Array.apply(null,Array(256)).map((function(e,t){return t})),r=function(e,r){return t.slice(e,r)},i=r(32,127),n=r(0,24);n.push(25),n.push.apply(n,r(28,32));var o,s=r(0,14);for(o in e.setDefault(1,0),e.addMany(i,0,2,0),s)e.addMany([24,26,153,154],o,3,0),e.addMany(r(128,144),o,3,0),e.addMany(r(144,152),o,3,0),e.add(156,o,0,0),e.add(27,o,11,1),e.add(157,o,4,8),e.addMany([152,158,159],o,0,7),e.add(155,o,11,3),e.add(144,o,11,9);return e.addMany(n,0,3,0),e.addMany(n,1,3,1),e.add(127,1,0,1),e.addMany(n,8,0,8),e.addMany(n,3,3,3),e.add(127,3,0,3),e.addMany(n,4,3,4),e.add(127,4,0,4),e.addMany(n,6,3,6),e.addMany(n,5,3,5),e.add(127,5,0,5),e.addMany(n,2,3,2),e.add(127,2,0,2),e.add(93,1,4,8),e.addMany(i,8,5,8),e.add(127,8,5,8),e.addMany([156,27,24,26,7],8,6,0),e.addMany(r(28,32),8,0,8),e.addMany([88,94,95],1,0,7),e.addMany(i,7,0,7),e.addMany(n,7,0,7),e.add(156,7,0,0),e.add(127,7,0,7),e.add(91,1,11,3),e.addMany(r(64,127),3,7,0),e.addMany(r(48,60),3,8,4),e.addMany([60,61,62,63],3,9,4),e.addMany(r(48,60),4,8,4),e.addMany(r(64,127),4,7,0),e.addMany([60,61,62,63],4,0,6),e.addMany(r(32,64),6,0,6),e.add(127,6,0,6),e.addMany(r(64,127),6,0,0),e.addMany(r(32,48),3,9,5),e.addMany(r(32,48),5,9,5),e.addMany(r(48,64),5,0,6),e.addMany(r(64,127),5,7,0),e.addMany(r(32,48),4,9,5),e.addMany(r(32,48),1,9,2),e.addMany(r(32,48),2,9,2),e.addMany(r(48,127),2,10,0),e.addMany(r(48,80),1,10,0),e.addMany(r(81,88),1,10,0),e.addMany([89,90,92],1,10,0),e.addMany(r(96,127),1,10,0),e.add(80,1,11,9),e.addMany(n,9,0,9),e.add(127,9,0,9),e.addMany(r(28,32),9,0,9),e.addMany(r(32,48),9,9,12),e.addMany(r(48,60),9,8,10),e.addMany([60,61,62,63],9,9,10),e.addMany(n,11,0,11),e.addMany(r(32,128),11,0,11),e.addMany(r(28,32),11,0,11),e.addMany(n,10,0,10),e.add(127,10,0,10),e.addMany(r(28,32),10,0,10),e.addMany(r(48,60),10,8,10),e.addMany([60,61,62,63],10,0,11),e.addMany(r(32,48),10,9,12),e.addMany(n,12,0,12),e.add(127,12,0,12),e.addMany(r(28,32),12,0,12),e.addMany(r(32,48),12,9,12),e.addMany(r(48,64),12,0,11),e.addMany(r(64,127),12,12,13),e.addMany(r(64,127),10,12,13),e.addMany(r(64,127),9,12,13),e.addMany(n,13,13,13),e.addMany(i,13,13,13),e.add(127,13,0,13),e.addMany([27,156,24,26],13,14,0),e.add(h,0,2,0),e.add(h,8,5,8),e.add(h,6,0,6),e.add(h,11,0,11),e.add(h,13,13,13),e}();var f=function(e){function r(r){void 0===r&&(r=t.VT500_TRANSITION_TABLE);var i=e.call(this)||this;return i._transitions=r,i._parseStack={state:0,handlers:[],handlerPos:0,transition:0,chunkPos:0},i.initialState=0,i.currentState=i.initialState,i._params=new a.Params,i._params.addParam(0),i._collect=0,i.precedingCodepoint=0,i._printHandlerFb=function(e,t,r){},i._executeHandlerFb=function(e){},i._csiHandlerFb=function(e,t){},i._escHandlerFb=function(e){},i._errorHandlerFb=function(e){return e},i._printHandler=i._printHandlerFb,i._executeHandlers=Object.create(null),i._csiHandlers=Object.create(null),i._escHandlers=Object.create(null),i._oscParser=new c.OscParser,i._dcsParser=new l.DcsParser,i._errorHandler=i._errorHandlerFb,i.registerEscHandler({final:"\\"},(function(){return!0})),i}return n(r,e),r.prototype._identifier=function(e,t){void 0===t&&(t=[64,126]);var r=0;if(e.prefix){if(e.prefix.length>1)throw new Error("only one byte as prefix supported");if((r=e.prefix.charCodeAt(0))&&60>r||r>63)throw new Error("prefix must be in range 0x3c .. 0x3f")}if(e.intermediates){if(e.intermediates.length>2)throw new Error("only two bytes as intermediates are supported");for(var i=0;i<e.intermediates.length;++i){var n=e.intermediates.charCodeAt(i);if(32>n||n>47)throw new Error("intermediate must be in range 0x20 .. 0x2f");r<<=8,r|=n}}if(1!==e.final.length)throw new Error("final must be a single byte");var o=e.final.charCodeAt(0);if(t[0]>o||o>t[1])throw new Error("final must be in range "+t[0]+" .. "+t[1]);return(r<<=8)|o},r.prototype.identToString=function(e){for(var t=[];e;)t.push(String.fromCharCode(255&e)),e>>=8;return t.reverse().join("")},r.prototype.dispose=function(){this._csiHandlers=Object.create(null),this._executeHandlers=Object.create(null),this._escHandlers=Object.create(null),this._oscParser.dispose(),this._dcsParser.dispose()},r.prototype.setPrintHandler=function(e){this._printHandler=e},r.prototype.clearPrintHandler=function(){this._printHandler=this._printHandlerFb},r.prototype.registerEscHandler=function(e,t){var r=this._identifier(e,[48,126]);void 0===this._escHandlers[r]&&(this._escHandlers[r]=[]);var i=this._escHandlers[r];return i.push(t),{dispose:function(){var e=i.indexOf(t);-1!==e&&i.splice(e,1)}}},r.prototype.clearEscHandler=function(e){this._escHandlers[this._identifier(e,[48,126])]&&delete this._escHandlers[this._identifier(e,[48,126])]},r.prototype.setEscHandlerFallback=function(e){this._escHandlerFb=e},r.prototype.setExecuteHandler=function(e,t){this._executeHandlers[e.charCodeAt(0)]=t},r.prototype.clearExecuteHandler=function(e){this._executeHandlers[e.charCodeAt(0)]&&delete this._executeHandlers[e.charCodeAt(0)]},r.prototype.setExecuteHandlerFallback=function(e){this._executeHandlerFb=e},r.prototype.registerCsiHandler=function(e,t){var r=this._identifier(e);void 0===this._csiHandlers[r]&&(this._csiHandlers[r]=[]);var i=this._csiHandlers[r];return i.push(t),{dispose:function(){var e=i.indexOf(t);-1!==e&&i.splice(e,1)}}},r.prototype.clearCsiHandler=function(e){this._csiHandlers[this._identifier(e)]&&delete this._csiHandlers[this._identifier(e)]},r.prototype.setCsiHandlerFallback=function(e){this._csiHandlerFb=e},r.prototype.registerDcsHandler=function(e,t){return this._dcsParser.registerHandler(this._identifier(e),t)},r.prototype.clearDcsHandler=function(e){this._dcsParser.clearHandler(this._identifier(e))},r.prototype.setDcsHandlerFallback=function(e){this._dcsParser.setHandlerFallback(e)},r.prototype.registerOscHandler=function(e,t){return this._oscParser.registerHandler(e,t)},r.prototype.clearOscHandler=function(e){this._oscParser.clearHandler(e)},r.prototype.setOscHandlerFallback=function(e){this._oscParser.setHandlerFallback(e)},r.prototype.setErrorHandler=function(e){this._errorHandler=e},r.prototype.clearErrorHandler=function(){this._errorHandler=this._errorHandlerFb},r.prototype.reset=function(){this.currentState=this.initialState,this._oscParser.reset(),this._dcsParser.reset(),this._params.reset(),this._params.addParam(0),this._collect=0,this.precedingCodepoint=0,0!==this._parseStack.state&&(this._parseStack.state=2,this._parseStack.handlers=[])},r.prototype._preserveStack=function(e,t,r,i,n){this._parseStack.state=e,this._parseStack.handlers=t,this._parseStack.handlerPos=r,this._parseStack.transition=i,this._parseStack.chunkPos=n},r.prototype.parse=function(e,t,r){var i,n=0,o=0,s=0;if(this._parseStack.state)if(2===this._parseStack.state)this._parseStack.state=0,s=this._parseStack.chunkPos+1;else{if(void 0===r||1===this._parseStack.state)throw this._parseStack.state=1,new Error("improper continuation due to previous async handler, giving up parsing");var a=this._parseStack.handlers,c=this._parseStack.handlerPos-1;switch(this._parseStack.state){case 3:if(!1===r&&c>-1)for(;c>=0&&!0!==(i=a[c](this._params));c--)if(i instanceof Promise)return this._parseStack.handlerPos=c,i;this._parseStack.handlers=[];break;case 4:if(!1===r&&c>-1)for(;c>=0&&!0!==(i=a[c]());c--)if(i instanceof Promise)return this._parseStack.handlerPos=c,i;this._parseStack.handlers=[];break;case 6:if(n=e[this._parseStack.chunkPos],i=this._dcsParser.unhook(24!==n&&26!==n,r))return i;27===n&&(this._parseStack.transition|=1),this._params.reset(),this._params.addParam(0),this._collect=0;break;case 5:if(n=e[this._parseStack.chunkPos],i=this._oscParser.end(24!==n&&26!==n,r))return i;27===n&&(this._parseStack.transition|=1),this._params.reset(),this._params.addParam(0),this._collect=0}this._parseStack.state=0,s=this._parseStack.chunkPos+1,this.precedingCodepoint=0,this.currentState=15&this._parseStack.transition}for(var l=s;l<t;++l){switch(n=e[l],(o=this._transitions.table[this.currentState<<8|(n<160?n:h)])>>4){case 2:for(var u=l+1;;++u){if(u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}if(++u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}if(++u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}if(++u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}}break;case 3:this._executeHandlers[n]?this._executeHandlers[n]():this._executeHandlerFb(n),this.precedingCodepoint=0;break;case 0:break;case 1:if(this._errorHandler({position:l,code:n,currentState:this.currentState,collect:this._collect,params:this._params,abort:!1}).abort)return;break;case 7:for(var f=(a=this._csiHandlers[this._collect<<8|n])?a.length-1:-1;f>=0&&!0!==(i=a[f](this._params));f--)if(i instanceof Promise)return this._preserveStack(3,a,f,o,l),i;f<0&&this._csiHandlerFb(this._collect<<8|n,this._params),this.precedingCodepoint=0;break;case 8:do{switch(n){case 59:this._params.addParam(0);break;case 58:this._params.addSubParam(-1);break;default:this._params.addDigit(n-48)}}while(++l<t&&(n=e[l])>47&&n<60);l--;break;case 9:this._collect<<=8,this._collect|=n;break;case 10:for(var _=this._escHandlers[this._collect<<8|n],d=_?_.length-1:-1;d>=0&&!0!==(i=_[d]());d--)if(i instanceof Promise)return this._preserveStack(4,_,d,o,l),i;d<0&&this._escHandlerFb(this._collect<<8|n),this.precedingCodepoint=0;break;case 11:this._params.reset(),this._params.addParam(0),this._collect=0;break;case 12:this._dcsParser.hook(this._collect<<8|n,this._params);break;case 13:for(var p=l+1;;++p)if(p>=t||24===(n=e[p])||26===n||27===n||n>127&&n<h){this._dcsParser.put(e,l,p),l=p-1;break}break;case 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0);\n document.body.appendChild(iframe);\n })();\n ", "text/plain": [ "" - ], - "application/javascript": [ - "\n", - " (async () => {\n", - " const url = new URL(await google.colab.kernel.proxyPort(10000, {'cache': true}));\n", - " const iframe = document.createElement('iframe');\n", - " iframe.src = url;\n", - " iframe.setAttribute('width', '100%');\n", - " iframe.setAttribute('height', '800');\n", - " iframe.setAttribute('frameborder', 0);\n", - " document.body.appendChild(iframe);\n", - " })();\n", - " " ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "%xterm\n", + "\n", + "# ollama serve &\n", + "# ollama run llama3.2:3b --keepalive 120m" ] }, { "cell_type": "markdown", - "source": [ - "Check which model is running on ollama" - ], "metadata": { "id": "CNKGUkBuoHBL" - } + }, + "source": [ + "Check which model is running on ollama" + ] }, { "cell_type": "code", - "source": [ - "!ollama ps" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -3155,23 +3141,23 @@ "id": "C9lUle47oJqc", "outputId": "119d2496-cdef-4389-996d-ffa87344e32c" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "NAME ID SIZE PROCESSOR UNTIL \n", "llama3.2:3b a80c4f17acd5 4.0 GB 100% GPU 2 hours from now \n" ] } + ], + "source": [ + "!ollama ps" ] }, { "cell_type": "code", - "source": [ - "!pip install pypdf" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -3180,11 +3166,10 @@ "id": "kCX4mWRroMcb", "outputId": "1a3b3658-9e13-4633-c133-d09cd424314b" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Collecting pypdf\n", " Downloading pypdf-5.3.0-py3-none-any.whl.metadata (7.2 kB)\n", @@ -3194,29 +3179,23 @@ "Successfully installed pypdf-5.3.0\n" ] } + ], + "source": [ + "!pip install pypdf" ] }, { "cell_type": "markdown", - "source": [ - "Start the llama stack server" - ], "metadata": { "id": "R51gr3T2oPMH" - } + }, + "source": [ + "Start the llama stack server" + ] }, { "cell_type": "code", - "source": [ - "import os\n", - "from google.colab import userdata\n", - "\n", - "os.environ['OPENAI_API_KEY'] = userdata.get('OPENAI_API_KEY')\n", - "\n", - "from llama_stack.distribution.library_client import LlamaStackAsLibraryClient\n", - "client = LlamaStackAsLibraryClient(\"experimental-post-training\")\n", - "_ = client.initialize()" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -3226,11 +3205,10 @@ "id": "nPrLIcC9oQB5", "outputId": "4f6d402c-82fc-4a9c-d589-98e3c324a84c" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ "Warning: `bwrap` is not available. Code interpreter tool will not work correctly.\n", "INFO:datasets:PyTorch version 2.5.1+cu124 available.\n", @@ -3254,116 +3232,20 @@ ] }, { - "output_type": "display_data", "data": { - "text/plain": [ - "Using config \u001b[34mexperimental-post-training\u001b[0m:\n" - ], "text/html": [ "
Using config experimental-post-training:\n",
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\n" + ], + "text/plain": [ + "apis:\n", + "- agents\n", + "- datasetio\n", + "- eval\n", + "- inference\n", + "- vector_io\n", + "- safety\n", + "- scoring\n", + "- telemetry\n", + "- post_training\n", + "- tool_runtime\n", + "benchmarks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "container_image: null\n", + "datasets: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "image_name: experimental-post-training\n", + "metadata_store:\n", + " db_path: \u001b[35m/root/.llama/distributions/meta-reference-gpu/\u001b[0m\u001b[95mregistry.db\u001b[0m\n", + " namespace: null\n", + " type: sqlite\n", + "models: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "providers:\n", + " agents:\n", + " - config:\n", + " persistence_store:\n", + " db_path: \u001b[35m/root/.llama/distributions/meta-reference-gpu/\u001b[0m\u001b[95magents_store.db\u001b[0m\n", + " namespace: null\n", + " type: sqlite\n", + " provider_id: meta-reference\n", + " provider_type: inline::meta-reference\n", + " datasetio:\n", + " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " provider_id: localfs\n", + " provider_type: inline::localfs\n", + " eval:\n", + " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " provider_id: meta-reference\n", + " provider_type: inline::meta-reference\n", + " inference:\n", + " - config:\n", + " checkpoint_dir: null\n", + " create_distributed_process_group: false\n", + " max_seq_len: \u001b[1;36m4096\u001b[0m\n", + " provider_id: meta-reference-inference\n", + " provider_type: inline::meta-reference\n", + " - config:\n", + " url: \u001b[4;94mhttp://localhost:11434\u001b[0m\n", + " provider_id: ollama\n", + " provider_type: remote::ollama\n", + " post_training:\n", + " - config:\n", + " checkpoint_format: huggingface\n", + " provider_id: torchtune-post-training\n", + " provider_type: inline::torchtune\n", + " safety:\n", + " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " provider_id: llama-guard\n", + " provider_type: inline::llama-guard\n", + " scoring:\n", + " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " provider_id: basic\n", + " provider_type: inlin\u001b[1;92me::ba\u001b[0msic\n", + " - config:\n", + " openai_api_key: \u001b[32m'********'\u001b[0m\n", + " provider_id: braintrust\n", + " provider_type: inlin\u001b[1;92me::b\u001b[0mraintrust\n", + " telemetry:\n", + " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " provider_id: meta-reference\n", + " provider_type: inline::meta-reference\n", + " tool_runtime:\n", + " - config:\n", + " api_key: \u001b[32m'********'\u001b[0m\n", + " max_results: \u001b[1;36m3\u001b[0m\n", + " provider_id: brave-search\n", + " provider_type: remot\u001b[1;92me::b\u001b[0mrave-search\n", + " vector_io:\n", + " - config:\n", + " kvstore:\n", + " db_path: \u001b[35m/root/.llama/distributions/meta-reference-gpu/\u001b[0m\u001b[95mfaiss_store.db\u001b[0m\n", + " namespace: null\n", + " type: sqlite\n", + " provider_id: faiss\n", + " provider_type: inlin\u001b[1;92me::fa\u001b[0miss\n", + "scoring_fns: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "server:\n", + " port: \u001b[1;36m8321\u001b[0m\n", + " tls_certfile: null\n", + " tls_keyfile: null\n", + "shields: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "tool_groups: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "vector_dbs: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "version: \u001b[32m'2'\u001b[0m\n", + "\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "import os\n", + "from google.colab import userdata\n", + "\n", + "os.environ['OPENAI_API_KEY'] = userdata.get('OPENAI_API_KEY')\n", + "\n", + "from llama_stack.distribution.library_client import LlamaStackAsLibraryClient\n", + "client = LlamaStackAsLibraryClient(\"experimental-post-training\")\n", + "_ = client.initialize()" ] }, { "cell_type": "markdown", + "metadata": { + "id": "EpdByzupodfF" + }, "source": [ "## 1. Eval the native Llama model\n", "First of all, we'd like to measure the native Llama 3.2 3B instruct model performance as a tax preparer.\n", @@ -3477,13 +3468,15 @@ "\n", "- You can create your own eval dataset that repects Llama stack [eval dataset format](https://github.com/meta-llama/llama-stack/blob/91907b714e825a1bfbca5271e0f403aab5f10752/llama_stack/providers/utils/common/data_schema_validator.py#L43)\n", "\n" - ], - "metadata": { - "id": "EpdByzupodfF" - } + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "5nIlFkvBHP0n" + }, + "outputs": [], "source": [ "import requests\n", "\n", @@ -3497,15 +3490,28 @@ "# from google.colab import files\n", "\n", "# uploaded = files.upload()" - ], - "metadata": { - "id": "5nIlFkvBHP0n" - }, - "execution_count": null, - "outputs": [] + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "vwKcfZc89sNf", + "outputId": "b2c98321-1a25-46ff-e82a-7522e068f9c0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m00:30:00.325\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/datasets\u001b[0m\n" + ] + } + ], "source": [ "import mimetypes\n", "import base64\n", @@ -3529,47 +3535,82 @@ "\n", "# register the eval dataset\n", "response = client.datasets.register(\n", - " dataset_id=\"eval_dataset\",\n", - " provider_id=\"localfs\",\n", - " url={\"uri\": data_url},\n", - " dataset_schema={\n", - " \"input_query\": {\"type\": \"string\"},\n", - " \"chat_completion_input\": {\"type\": \"chat_completion_input\"},\n", - " \"expected_answer\": {\"type\": \"string\"},\n", + " purpose=\"eval/messages-answer\",\n", + " source={\n", + " \"type\": \"uri\",\n", + " \"uri\": data_url,\n", " },\n", + " dataset_id=\"eval_dataset\",\n", ")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "vwKcfZc89sNf", - "outputId": "b2c98321-1a25-46ff-e82a-7522e068f9c0", - "collapsed": true - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[2m00:30:00.325\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/datasets\u001b[0m\n" - ] - } ] }, { "cell_type": "markdown", + "metadata": { + "id": "KF_nxqEZ-FQa" + }, "source": [ "#### 1.1. Register the eval model candidate with [models APIs](https://github.com/meta-llama/llama-stack/blob/e3f187fb83f2c45d5f838663658a873fb0fcc6d9/llama_stack/apis/models/models.py)\n", "Since we use ollama as provider for inference, we set provider_id to 'ollama' during model registration\n" - ], - "metadata": { - "id": "KF_nxqEZ-FQa" - } + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 200 + }, + "collapsed": true, + "id": "Le1WDhlg-ys5", + "outputId": "6ee3f9b6-ceda-4653-82c5-879c636027c6" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: GET http://localhost:11434/api/ps \"HTTP/1.1 200 OK\"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m00:30:29.540\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/models\u001b[0m\n" + ] + }, + { + "data": { + "text/html": [ + "
Model(\n",
+              "│   identifier='meta-llama/Llama-3.2-3B-Instruct',\n",
+              "│   metadata={'llama_model': 'meta-llama/Llama-3.2-3B-Instruct'},\n",
+              "│   api_model_type='llm',\n",
+              "│   provider_id='ollama',\n",
+              "│   provider_resource_id='llama3.2:3b',\n",
+              "│   type='model',\n",
+              "│   model_type='llm'\n",
+              ")\n",
+              "
\n" + ], + "text/plain": [ + "\u001b[1;35mModel\u001b[0m\u001b[1m(\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[33midentifier\u001b[0m=\u001b[32m'meta-llama/Llama-3.2-3B-Instruct'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mmetadata\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'llama_model'\u001b[0m: \u001b[32m'meta-llama/Llama-3.2-3B-Instruct'\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mapi_model_type\u001b[0m=\u001b[32m'llm'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_id\u001b[0m=\u001b[32m'ollama'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_resource_id\u001b[0m=\u001b[32m'llama3.2:3b'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mtype\u001b[0m=\u001b[32m'model'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mmodel_type\u001b[0m=\u001b[32m'llm'\u001b[0m\n", + "\u001b[1m)\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "from rich.pretty import pprint\n", "\n", @@ -3582,65 +3623,13 @@ ")\n", "\n", "pprint(response)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 200 - }, - "id": "Le1WDhlg-ys5", - "outputId": "6ee3f9b6-ceda-4653-82c5-879c636027c6", - "collapsed": true - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "INFO:httpx:HTTP Request: GET http://localhost:11434/api/ps \"HTTP/1.1 200 OK\"\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[2m00:30:29.540\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/models\u001b[0m\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "\u001b[1;35mModel\u001b[0m\u001b[1m(\u001b[0m\n", - "\u001b[2;32m│ \u001b[0m\u001b[33midentifier\u001b[0m=\u001b[32m'meta-llama/Llama-3.2-3B-Instruct'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mmetadata\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'llama_model'\u001b[0m: \u001b[32m'meta-llama/Llama-3.2-3B-Instruct'\u001b[0m\u001b[1m}\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mapi_model_type\u001b[0m=\u001b[32m'llm'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_id\u001b[0m=\u001b[32m'ollama'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_resource_id\u001b[0m=\u001b[32m'llama3.2:3b'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mtype\u001b[0m=\u001b[32m'model'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mmodel_type\u001b[0m=\u001b[32m'llm'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ], - "text/html": [ - "
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-              "│   api_model_type='llm',\n",
-              "│   provider_id='ollama',\n",
-              "│   provider_resource_id='llama3.2:3b',\n",
-              "│   type='model',\n",
-              "│   model_type='llm'\n",
-              ")\n",
-              "
\n" - ] - }, - "metadata": {} - } ] }, { "cell_type": "markdown", + "metadata": { + "id": "nwT5PPJs_TU9" + }, "source": [ "#### 1.2. Kick-off eval job\n", "- More details on Llama-stack eval: https://llama-stack.readthedocs.io/en/latest/benchmark_evaluations/index.html\n", @@ -3650,61 +3639,24 @@ " > **Note**: If the eval process is stuck, try to restart the ollama server and try again\n", "\n", "\n" - ], - "metadata": { - "id": "nwT5PPJs_TU9" - } + ] }, { "cell_type": "code", - "source": [ - "eval_rows = client.datasetio.get_rows_paginated(\n", - " dataset_id=\"eval_dataset\",\n", - " rows_in_page=-1,\n", - ")\n", - "\n", - "from tqdm import tqdm\n", - "\n", - "client.benchmarks.register(\n", - " benchmark_id=\"llama3.2-3B-instruct:tax_eval\",\n", - " dataset_id=\"eval_dataset\",\n", - " scoring_functions=[\"braintrust::answer-similarity\"]\n", - ")\n", - "\n", - "response = client.eval.evaluate_rows(\n", - " benchmark_id=\"llama3.2-3B-instruct:tax_eval\",\n", - " input_rows=eval_rows.rows,\n", - " scoring_functions=[\"braintrust::answer-similarity\"],\n", - " benchmark_config={\n", - " \"type\": \"benchmark\",\n", - " \"eval_candidate\": {\n", - " \"type\": \"model\",\n", - " \"model\": \"meta-llama/Llama-3.2-3B-Instruct\",\n", - " \"sampling_params\": {\n", - " \"temperature\": 0.0,\n", - " \"max_tokens\": 4096,\n", - " \"top_p\": 0.9,\n", - " \"repeat_penalty\": 1.0,\n", - " },\n", - " }\n", - " }\n", - ")\n", - "pprint(response)" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, + "collapsed": true, "id": "A1VJC5dJ_7n9", - "outputId": "f628b73c-f1e5-4456-a153-3176601902b7", - "collapsed": true + "outputId": "f628b73c-f1e5-4456-a153-3176601902b7" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[2m00:35:56.357\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/datasetio/rows\u001b[0m\n", "\u001b[2m00:35:56.357\u001b[0m \u001b[35m[END]\u001b[0m \u001b[2m/v1/datasetio/rows\u001b[0m\u001b[0m [StatusCode.OK]\u001b[0m (0.31ms)\n", @@ -3712,23 +3664,23 @@ ] }, { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ "\r 0%| | 0/43 [00:00EvaluateResponse(\n", "│ generations=[\n", @@ -4230,23 +3996,246 @@ "│ }\n", ")\n", "\n" + ], + "text/plain": [ + "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mgenerations\u001b[0m=\u001b[1m[\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The primary purpose of a W-2 form, also known as a Wage and Tax Statement, is to report an employee's income earned from their employer to the Internal Revenue Service \u001b[0m\u001b[32m(\u001b[0m\u001b[32mIRS\u001b[0m\u001b[32m)\u001b[0m\u001b[32m for federal income tax purposes. The W-2 form is used by employers to provide employees with a summary of their earnings and taxes withheld from their paychecks throughout the year.\\n\\nThe W-2 form typically includes information such as:\\n\\n* Employee's name, address, and Social Security number\\n* Employer's name, address, and Employer Identification Number \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEIN\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Gross wages earned during the tax year\\n* Federal income tax withheld\\n* State and local taxes withheld \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif applicable\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Other deductions and credits claimed by the employee\\n\\nThe primary purpose of a W-2 form is to:\\n\\n1. Report an employee's income to the IRS: The W-2 form serves as proof of income earned by employees, which is used by the IRS to determine how much tax should be withheld from future paychecks.\\n2. Provide information for tax withholding: The W-2 form helps employers calculate and withhold the correct amount of federal income tax, Social Security tax, and Medicare tax from an employee's wages.\\n3. Allow employees to file their tax returns accurately: By providing a summary of their earnings and taxes withheld, the W-2 form enables employees to complete their tax returns accurately and claim any additional credits or deductions they may be eligible for.\\n\\nOverall, the W-2 form plays a critical role in ensuring that employers comply with federal income tax laws and regulations, while also helping employees manage their tax obligations and take advantage of available credits and deductions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how W-2 income affects an individual's tax liability.\\n\\nW-2 income refers to the wages and salaries earned by an employee from their employer. The amount of W-2 income reported on an individual's W-2 form is used to determine their taxable income for the year. Here are some ways in which W-2 income can affect an individual's tax liability:\\n\\n1. **Taxable Income**: W-2 income is considered taxable income, meaning it is subject to federal and state income taxes. The amount of W-2 income reported on the form will be used to calculate the individual's total taxable income for the year.\\n2. **Tax Brackets**: W-2 income falls into one of several tax brackets, which determine the tax rate applied to that income. As an individual earns more W-2 income, they may move up or down a tax bracket, affecting their overall tax liability.\\n3. **Deductions and Credits**: Depending on the individual's circumstances, they may be eligible for deductions and credits that can reduce their taxable income. For example, if an individual has health insurance premiums through their employer, they may be able to claim a deduction for those premiums. Similarly, if they have children or are married, they may be eligible for credits like the Earned Income Tax Credit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEITC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or Child Tax Credit.\\n4. **Self-Employment Taxes**: If an individual has self-employment income reported on their W-2 form, it will also be subject to self-employment taxes. This can increase their overall tax liability, as self-employment taxes are typically 15.3% of net earnings from self-employment \u001b[0m\u001b[32m(\u001b[0m\u001b[32m12.4% for Social Security and 2.9% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n5. **Tax Credits**: Some W-2 income may qualify for tax credits, such as the Child Tax Credit or Education Credits. These credits can directly reduce an individual's tax liability.\\n6. **Tax Withholding**: Employers are required to withhold federal income taxes from employee wages and pay them over to the government on behalf of their employees. This withholding reduces the amount of taxes owed when filing a tax return, but it also means that some taxes may be withheld too much, resulting in a larger refund or less tax liability.\\n7. **Tax Liabilities**: If an individual has W-2 income from multiple sources \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., employment and self-employment\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, their overall tax liability will depend on the combined amount of taxable income.\\n\\nTo minimize tax liability, individuals with W-2 income should consider factors such as:\\n\\n* Taking advantage of deductions and credits available to them\\n* Adjusting withholding amounts through payroll adjustments or estimated tax payments\\n* Considering retirement savings options, like 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or IRA contributions\\n* Reviewing their overall financial situation to identify areas for tax optimization\\n\\nAs a tax preparer, I would work with clients to help them navigate these factors and optimize their W-2 income to minimize their tax liability.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that W-2 income is generally considered taxable income and cannot be adjusted for tax purposes.\\n\\nA W-2 form is used to report an employee's wages and taxes withheld from their paycheck. The income reported on the W-2 is considered taxable income and must be included in the taxpayer's gross income for tax purposes.\\n\\nHowever, there are some exceptions and potential adjustments that can be made to W-2 income for tax purposes:\\n\\n1. **Corrected W-2s**: If an employer makes a mistake on the W-2 form, such as underreporting or overpaying taxes withheld, they may issue a corrected W-2 to the employee. In this case, the corrected amount can be adjusted on the taxpayer's return.\\n2. **Tax credits and deductions**: Taxpayers may be eligible for tax credits or deductions that reduce their taxable income, such as the Earned Income Tax Credit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEITC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, Child Tax Credit, or education credits. These credits and deductions can reduce the amount of W-2 income subject to taxation.\\n3. **Self-employment income**: If an employee has self-employment income reported on a 1099-MISC form, they may be able to deduct business expenses related to that income on their tax return. This can potentially reduce their taxable income from the W-2 income.\\n4. **Tax law changes**: Changes in tax laws or regulations can affect how W-2 income is taxed. For example, if a new tax law reduces the tax rate for certain types of income, it may be possible to adjust the taxpayer's return to reflect this change.\\n\\nHowever, these exceptions and adjustments are subject to specific rules and requirements, and taxpayers should consult with a tax professional or the IRS to determine the best course of action.\\n\\nIn general, W-2 income is considered taxable income and cannot be adjusted for tax purposes without proper documentation and approval from the employer or the IRS.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that the Internal Revenue Service \u001b[0m\u001b[32m(\u001b[0m\u001b[32mIRS\u001b[0m\u001b[32m)\u001b[0m\u001b[32m uses various methods to verify W-2 income. Here are some of the ways they verify W-2 income:\\n\\n1. **Employer Reporting**: The most common method is through employer reporting. Employers are required to provide employees with a Form W-2, Wage and Tax Statement, by January 31st of each year, showing their wages, taxes withheld, and other relevant information. This form serves as proof of employment income.\\n2. **Form 1099-MISC**: If an individual receives freelance or contract work, they may receive a Form 1099-MISC, Miscellaneous Income, from the payer. This form reports non-employee compensation, such as freelance work, rent, and royalties.\\n3. **Bank Statements**: The IRS can review bank statements to verify income reported on W-2s. They may request bank statements to confirm that the income reported on the W-2 is accurate.\\n4. **Employer Verification Letters**: In some cases, the IRS may request a letter from the employer verifying the employee's income and employment status.\\n5. **Taxpayer Identification Number \u001b[0m\u001b[32m(\u001b[0m\u001b[32mTIN\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Verification**: The IRS can verify an individual's TIN through various sources, including:\\n\\t* Social Security Administration \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSSA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Internal Revenue Service \u001b[0m\u001b[32m(\u001b[0m\u001b[32mIRS\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* State tax agencies\\n\\t* Other government agencies\\n6. **Address Verification**: The IRS may request verification of an individual's address to ensure that the W-2 is being sent to the correct address.\\n7. **Audit Trails**: Employers are required to maintain records of employee wages and taxes withheld for at least three years. These records can be reviewed by the IRS during an audit.\\n\\nTo verify W-2 income, the IRS may use various tools and resources, including:\\n\\n1. The Electronic Federal Tax Payment System \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEFTPS\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n2. The IRS Data Retrieval Tool\\n3. The IRS's online database of tax returns and transcripts\\n\\nIt's worth noting that the IRS can request additional documentation or information to verify W-2 income if they suspect any discrepancies or errors on the return. As a tax preparer, it's essential to ensure that all required documentation is accurate and complete to avoid any potential issues with the IRS.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how pre-tax deductions can impact W-2 income.\\n\\nPre-tax deductions, also known as pre-tax contributions or pre-tax withholdings, refer to amounts withheld from an employee's paycheck before taxes are taken out. These deductions are typically made through payroll deductions, such as 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, 403\u001b[0m\u001b[32m(\u001b[0m\u001b[32mb\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, Health Savings Account \u001b[0m\u001b[32m(\u001b[0m\u001b[32mHSA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, Flexible Spending Arrangements \u001b[0m\u001b[32m(\u001b[0m\u001b[32mFSA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, or other qualified retirement plans.\\n\\nWhen it comes to W-2 income, pre-tax deductions can affect the amount of taxable income reported on your tax return. Here's how:\\n\\n1. **Reduced Gross Income**: Pre-tax deductions are subtracted from your gross income before taxes are taken out. This means that the amount of money you take home each paycheck is lower than your gross income.\\n2. **Lower Taxable Income**: Since pre-tax deductions reduce your gross income, they also reduce your taxable income. As a result, your tax liability will be lower, and you may receive a larger refund or pay less in taxes throughout the year.\\n3. **Tax-Deferred Growth**: Pre-tax contributions to retirement plans like 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or 403\u001b[0m\u001b[32m(\u001b[0m\u001b[32mb\u001b[0m\u001b[32m)\u001b[0m\u001b[32m grow tax-deferred, meaning they are not subject to income tax until withdrawal. This can help your savings grow faster over time.\\n\\nTo illustrate this concept, let's consider an example:\\n\\nSuppose you earn $50,000 per year and contribute $5,000 to a 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m plan through payroll deductions. Your gross income would be reduced by $5,000, making your take-home pay $45,000. Since the contribution is made before taxes are taken out, it reduces your taxable income.\\n\\nOn your tax return, you'll report your adjusted gross income \u001b[0m\u001b[32m(\u001b[0m\u001b[32mAGI\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which includes the pre-tax contributions to your 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m plan. This can result in a lower AGI and potentially lower taxes owed or a larger refund.\\n\\nKeep in mind that while pre-tax deductions reduce your taxable income, they also reduce your take-home pay. It's essential to consider how these deductions impact your overall financial situation and adjust your budget accordingly.\\n\\nAs a tax preparer, I always advise clients to review their W-2 income and pre-tax deductions to ensure they're taking advantage of available tax savings opportunities while maintaining a healthy balance between saving for retirement and enjoying their hard-earned money.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that yes, it is possible for an individual to receive W-2 income from multiple employers and have those amounts reported on separate W-2 forms.\\n\\nIn general, the IRS requires each employer to report all wages, tips, and other compensation paid to an employee on a single W-2 form. However, there are some exceptions and special circumstances that may result in multiple W-2 forms being issued:\\n\\n1. **Multiple jobs**: If you have multiple jobs or positions with different employers during the same tax year, each employer will issue a separate W-2 form showing their portion of your total income.\\n2. **Self-employment income**: If you are self-employed and earn income from a business or freelance work, you may receive a 1099-MISC form \u001b[0m\u001b[32m(\u001b[0m\u001b[32mnot a W-2\u001b[0m\u001b[32m)\u001b[0m\u001b[32m from yourself as the business owner. However, if you also have other employment income reported on a W-2, both forms will be issued.\\n3. **Gig economy workers**: If you work through platforms like Uber, Lyft, or Airbnb, you may receive multiple 1099-K forms \u001b[0m\u001b[32m(\u001b[0m\u001b[32mnot W-2s\u001b[0m\u001b[32m)\u001b[0m\u001b[32m from these companies, as they are considered independent contractors rather than employees.\\n4. **Government employment**: Federal, state, and local government employees typically receive a single W-2 form showing their total compensation for the year.\\n5. **Retirement plan distributions**: If you receive retirement plan distributions \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, IRA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m from multiple sources, each plan may issue separate W-2 forms or 1099-R forms.\\n\\nWhen an individual receives income from multiple sources, it's essential to report all of these amounts on their tax return. The IRS requires that you combine the income from all sources and report it on your tax return, regardless of whether it was reported on a single W-2 form or multiple ones.\\n\\nAs a tax preparer, I would ensure that my clients accurately report all income from multiple sources on their tax returns to avoid any potential issues with the IRS.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how W-2 income is affected by tax credits.\\n\\nW-2 income refers to the wages and salaries reported on your Form W-2, which you receive from your employer at the end of each year. Tax credits are deductions or reductions in the amount of taxes you owe, rather than a direct reduction in your taxable income.\\n\\nHere's how W-2 income is affected by tax credits:\\n\\n1. **Taxable income**: Your W-2 income is considered taxable income and is subject to federal income tax withholding.\\n2. **Tax credits vs. deductions**: Tax credits are different from deductions. Deductions reduce the amount of income that is subject to taxation, while credits directly reduce the amount of taxes you owe.\\n3. **Tax credits can reduce or eliminate taxes owed**: If you have eligible tax credits, such as the Earned Income Tax Credit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEITC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, Child Tax Credit, or Education Credits, these credits can reduce your taxable income and, in some cases, even result in a refund if the credit exceeds the amount of taxes owed.\\n4. **Tax credits may not directly affect W-2 income**: However, tax credits can indirectly affect your W-2 income by reducing the amount of taxes withheld from your paycheck. For example, if you have a child and are eligible for the Child Tax Credit, your employer may reduce the amount of federal income tax withheld from your paychecks to reflect the credit.\\n5. **Tax credits can increase your refund**: If you have multiple tax credits that exceed your tax liability, you may receive a larger refund than you would if you didn't have any credits.\\n\\nTo illustrate this, let's consider an example:\\n\\nSuppose John has W-2 income of $50,000 and is eligible for the Earned Income Tax Credit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEITC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m worth $5,000. His total tax liability before credits would be approximately 20% of his taxable income \u001b[0m\u001b[32m(\u001b[0m\u001b[32m$10,000\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. With the EITC credit, his new tax liability would be reduced to $5,000, resulting in a larger refund.\\n\\nIn summary, W-2 income is subject to taxation and withholding, but tax credits can reduce your taxable income or directly reduce the amount of taxes owed. Tax credits can also indirectly affect your W-2 income by reducing the amount of taxes withheld from your paycheck.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I\\'d be happy to explain how W-2 income affects the Alternative Minimum Tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mAMT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n\\nThe Alternative Minimum Tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mAMT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is a provision in the US tax code that requires individuals and businesses to pay taxes at a minimum rate of 26% on certain types of income. The AMT was created to ensure that taxpayers don\\'t benefit from tax loopholes and deductions that allow them to avoid paying their \"fair share\" of taxes.\\n\\nW-2 income, which represents the income earned by employees, is subject to the AMT if it exceeds certain thresholds. Here\\'s how W-2 income affects the AMT:\\n\\n1. **AMT Exclusion**: The first $80,250 of W-2 income \u001b[0m\u001b[32m(\u001b[0m\u001b[32mfor tax year 2022\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is exempt from the AMT. This means that if your W-2 income is below this threshold, you won\\'t be subject to the AMT.\\n2. **AMT Taxable Income**: If your W-2 income exceeds the $80,250 threshold, it\\'s considered taxable income for AMT purposes. The amount above the threshold is then used to calculate the AMT liability.\\n3. **AMT Deductions and Credits**: Certain deductions and credits can reduce the AMT liability. These include:\\n\\t* Personal exemptions \u001b[0m\u001b[32m(\u001b[0m\u001b[32mstandard deduction or itemized deductions\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* State and local taxes\\n\\t* Mortgage interest and property taxes\\n\\t* Charitable contributions\\n\\t* Medical expenses\\n4. **AMT Exemptions**: Some types of income are exempt from the AMT, including:\\n\\t* Interest on certain types of bonds \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., municipal bonds\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Dividend income from qualified dividends\\n\\t* Capital gains from investments\\n\\nTo determine if you\\'re subject to the AMT, your W-2 income is compared to the AMT exemption amount. If your W-2 income exceeds the exemption amount, you\\'ll need to complete Form 6251 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mAlternative Minimum Tax - Individual\u001b[0m\u001b[32m)\u001b[0m\u001b[32m and calculate your AMT liability.\\n\\nKeep in mind that the AMT can be complex, and there are many factors that can affect your eligibility for exemptions and deductions. As a tax preparer, I would work with you to ensure you\\'re taking advantage of all eligible deductions and credits to minimize your AMT liability.\\n\\nDo you have any specific questions about how W-2 income affects the AMT or would you like me to elaborate on any of these points?'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The Tax Cuts and Jobs Act \u001b[0m\u001b[32m(\u001b[0m\u001b[32mTCJA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m made significant changes to the way W-2 income is taxed, particularly for employees who receive a W-2 form from their employer. Here are some key ways in which the TCJA affects W-2 income:\\n\\n1. **Standard Deduction Increase**: The TCJA increased the standard deduction for single filers from $6,350 to $12,000 and for joint filers from $12,700 to $24,400. This means that more employees may not need to itemize their deductions on their tax return, which can reduce their W-2 income.\\n2. **State and Local Taxes \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSALT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Limitation**: The TCJA limited the deduction for state and local taxes \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSALT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m to $10,000 per year. This means that if an employee's SALT deduction exceeds $10,000, they may not be able to deduct it on their tax return.\\n3. **Child Tax Credit**: The TCJA increased the child tax credit from $1,000 to $2,000 per child under age 17 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mor $3,000 for one qualifying child under age 17 if both parents are claimed as dependents\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. This can result in a larger W-2 income for employees with children.\\n4. **Earned Income Tax Credit \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEITC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m**: The TCJA expanded the EITC to include more low-to-moderate-income workers, which may increase their W-2 income due to the increased credit amount.\\n5. **Health Savings Account \u001b[0m\u001b[32m(\u001b[0m\u001b[32mHSA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Contributions**: The TCJA allowed employees to contribute up to $3,550 to a Health Savings Account \u001b[0m\u001b[32m(\u001b[0m\u001b[32mHSA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m in 2019 and 2020, an increase from $3,300 in previous years. This can result in a larger W-2 income for employees who participate in an HSA.\\n6. **Retirement Plan Contributions**: The TCJA increased the annual contribution limits for 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, 403\u001b[0m\u001b[32m(\u001b[0m\u001b[32mb\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, and other retirement plans. This may result in a larger W-2 income for employees who contribute to these plans.\\n\\nHowever, it's essential to note that not all W-2 income is affected by the TCJA. For example:\\n\\n* **Self-Employment Income**: Self-employed individuals are not subject to the same tax changes as employees with W-2 income.\\n* **Health Insurance Premiums**: The TCJA did not change the way health insurance premiums are taxed, so this will not affect W-2 income.\\n\\nIt's always a good idea for employees to consult with their employer or a tax professional to understand how the TCJA affects their specific situation and to ensure they're taking advantage of any available tax savings opportunities.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The Net Investment Income Tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mNIIT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is a provision in the Tax Cuts and Jobs Act \u001b[0m\u001b[32m(\u001b[0m\u001b[32mTCJA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m that was enacted in 2017. It applies to certain types of investment income, including interest, dividends, capital gains, and qualified dividend income.\\n\\nW-2 income, on the other hand, is ordinary income earned from employment, such as wages, salaries, tips, and other forms of compensation received by an individual for their work.\\n\\nThe impact of W-2 income on the Net Investment Income Tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mNIIT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is that it does not directly affect the NIIT. The NIIT only applies to investment income, which includes:\\n\\n* Interest income from bonds, CDs, and other debt instruments\\n* Dividend income from stocks and mutual funds\\n* Capital gains from the sale of securities\\n* Qualified dividend income from certain types of investments\\n\\nW-2 income is considered ordinary income and is subject to regular income tax rates, not the NIIT. However, if you have investment income that is subject to the NIIT, your W-2 income may be used to offset some or all of the excess investment income.\\n\\nFor example, let's say you have a W-2 income of $50,000 and also have $20,000 in interest income from bonds. If your total taxable income exceeds the standard deduction amount for your filing status, you would pay tax on both the W-2 income and the interest income. However, if your investment income is subject to the NIIT, it may reduce your overall tax liability.\\n\\nTo illustrate this, let's say your W-2 income is $50,000 and your total taxable income is $60,000 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mafter deductions\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. If you have $20,000 in interest income that is subject to the NIIT, your effective tax rate on the investment income would be 3.8% \u001b[0m\u001b[32m(\u001b[0m\u001b[32mthe top marginal rate for single filers with modified adjusted gross income above $200,000 or $250,000 for joint filers\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. In this scenario, you would pay 3.8% of $20,000 in interest income, which is $760.\\n\\nIn contrast, your W-2 income would be taxed at the regular tax rates, which might be 24% \u001b[0m\u001b[32m(\u001b[0m\u001b[32mthe top marginal rate for single filers with taxable income above $80,000\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. In this scenario, you would pay 24% of $50,000 in W-2 income, which is $12,000.\\n\\nIn summary, while W-2 income does not directly impact the Net Investment Income Tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mNIIT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, it can affect your overall tax liability if you have significant investment income that is subject to the NIIT.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how W-2 income is affected by the Affordable Care Act \u001b[0m\u001b[32m(\u001b[0m\u001b[32mACA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n\\nThe ACA, also known as Obamacare, has had a significant impact on W-2 income in several ways:\\n\\n1. **Health Insurance Premium Tax Credit**: The ACA introduced a premium tax credit for individuals and families who purchase health insurance through the Health Insurance Marketplace or their employer-sponsored plan. This credit can reduce the amount of taxes owed on W-2 income.\\n2. **Health Savings Account \u001b[0m\u001b[32m(\u001b[0m\u001b[32mHSA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m contributions**: If you have a high-deductible health plan, you may be eligible to contribute to an HSA. Contributions to HSAs are tax-deductible and can be used for qualified medical expenses. The ACA has expanded the types of expenses that qualify for HSA funding.\\n3. **Dependent care credits**: The ACA introduced new dependent care credits for families with qualifying children under age 13 or disabled individuals who need care. These credits can reduce W-2 income subject to self-employment tax.\\n4. **Medicare taxes**: The ACA has changed the way Medicare taxes are applied to W-2 income. For employees, Medicare taxes are now split between the employee and employer, with the employer paying 1.45% of wages up to $200,000 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mpreviously $110,100\u001b[0m\u001b[32m)\u001b[0m\u001b[32m and 0.45% above that amount.\\n5. **Health insurance premiums**: The ACA has required employers to offer health insurance coverage to their employees or face penalties. This means that many W-2 income earners may have had health insurance coverage through their employer, which can impact their tax obligations.\\n\\nTo take advantage of these benefits, individuals and families must meet certain eligibility requirements, such as:\\n\\n* Being under age 65\\n* Not being eligible for Medicare\\n* Having a qualifying child or dependent\\n* Meeting income limits \u001b[0m\u001b[32m(\u001b[0m\u001b[32mvaries by family size and filing status\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nAs a tax preparer, I would need to review each client's individual circumstances to determine how the ACA affects their W-2 income. This may involve reviewing their health insurance coverage, HSA contributions, dependent care credits, Medicare taxes, and other factors to ensure they are taking advantage of all eligible benefits.\\n\\nKeep in mind that tax laws and regulations can change frequently, so it's essential to stay informed about any updates or changes that may affect W-2 income.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I\\'d be happy to explain how W-2 income affects self-employment tax.\\n\\nSelf-employment tax is a type of tax that is used to fund Social Security and Medicare. It\\'s typically paid by individuals who are self-employed or have a side hustle. The good news is that you don\\'t pay self-employment tax on your W-2 income, but there are some nuances to consider.\\n\\nHere\\'s the key point: if you receive a W-2 from an employer, you\\'re not subject to self-employment tax on that income because it\\'s considered \"earned income\" rather than self-employment income. Earned income is income earned through employment, such as wages or salaries.\\n\\nHowever, there are some exceptions and considerations:\\n\\n1. **Self-Employment Tax on Business Income**: If you have a side hustle or business, you\\'re subject to self-employment tax on the net earnings from that business. This includes income from freelancing, consulting, renting out a room on Airbnb, or any other type of business activity.\\n2. **Net Earnings from Self-Employment**: To calculate self-employment tax, you need to determine your net earnings from self-employment. This is calculated by subtracting business expenses and deductions from your gross income. If your net earnings are $400 or more, you\\'re subject to self-employment tax.\\n3. **Self-Employment Tax Rate**: The self-employment tax rate is 15.3% of your net earnings from self-employment, which includes both the employee and employer portions of Social Security and Medicare taxes. This rate applies to your net earnings from self-employment, not your W-2 income.\\n4. **Self-Employment Tax Deduction**: You can deduct half of your self-employment tax as a business expense on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. This can help reduce your taxable income and lower your overall tax liability.\\n\\nTo illustrate this, let\\'s say you have a side hustle that generates $50,000 in net earnings from self-employment. Your self-employment tax would be:\\n\\n$50,000 x 15.3% = $7,650\\n\\nYou can deduct half of this amount as a business expense on Schedule C, which reduces your taxable income and lowers your overall tax liability.\\n\\nIn summary, W-2 income is not subject to self-employment tax because it\\'s considered earned income, but if you have a side hustle or business, you\\'re subject to self-employment tax on the net earnings from that activity.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how W-2 income is affected by the Foreign Earned Income Exclusion.\\n\\nThe Foreign Earned Income Exclusion \u001b[0m\u001b[32m(\u001b[0m\u001b[32mFEIE\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is a tax benefit that allows certain individuals to exclude up to a certain amount of foreign-earned income from their U.S. taxable income. This exclusion can significantly reduce or even eliminate the amount of taxes owed on foreign-earned income, making it an attractive option for expats and international workers.\\n\\nHere's how W-2 income is affected by the FEIE:\\n\\n1. **Eligibility**: To qualify for the FEIE, you must have earned income from a foreign employer while living outside the United States for at least 330 full days in any 12-month period \u001b[0m\u001b[32m(\u001b[0m\u001b[32mor 183 days if married to a U.S. citizen or resident\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n2. **Exclusion amount**: The FEIE allows you to exclude up to $105,900 of foreign-earned income from your U.S. taxable income for tax year 2023. For tax years prior to 2018, the exclusion amount was $100,800.\\n3. **W-2 reporting**: When filing a U.S. tax return \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, you'll report your W-2 income on Line 21 of Form 1040. However, if you qualify for the FEIE, you can exclude this amount from your U.S. taxable income by completing Form 2555 and attaching it to your tax return.\\n4. **Foreign earned income**: The FEIE applies only to foreign-earned income, which includes:\\n\\t* Salary or wages\\n\\t* Other compensation \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., bonuses, commissions\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Rent or royalty income\\n\\t* Interest on foreign debt\\n\\t* Dividend income from a foreign corporation\\n5. **Tax implications**: If you qualify for the FEIE, your W-2 income will be excluded from U.S. taxation, and you won't owe federal income tax on that amount. However, you may still owe state or local taxes on this income.\\n6. **Reporting requirements**: You must file Form 2555 with your tax return to claim the FEIE exclusion. This form requires you to provide documentation of your foreign work experience and income.\\n\\nIt's essential to note that the FEIE has some limitations and nuances, such as:\\n\\n* The exclusion amount may be reduced if you have U.S. source income \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., dividends or interest from U.S.-sourced investments\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n* You can only exclude foreign-earned income earned while living outside the United States.\\n* If you're married to a U.S. citizen or resident, your spouse's foreign-earned income is not subject to the FEIE.\\n\\nAs a tax preparer, I recommend that individuals with W-2 income from abroad consult with me to determine if they qualify for the Foreign Earned Income Exclusion and to ensure accurate reporting on their tax return.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that a 1099-MISC form is used to report miscellaneous income that is not subject to withholding. The types of income typically reported on a 1099-MISC form include:\\n\\n1. Freelance work or independent contractor income: This includes income earned by freelancers, consultants, and independent contractors for services performed for clients.\\n2. Rent from real estate investments: Income from renting out properties, such as rental income from apartments, houses, or commercial buildings.\\n3. Royalties: Income received from the sale of intellectual property, such as music, art, literature, or inventions.\\n4. Prizes and awards: Winnings from contests, sweepstakes, or other games that are not subject to withholding.\\n5. Other miscellaneous income: This can include income from sales of goods or services that are not subject to withholding, such as bartering or commission-based income.\\n\\nThe 1099-MISC form is used by the IRS to report these types of income because it is not subject to withholding, meaning that no taxes were withheld at the source. As a result, the recipient of the income must report this income on their tax return and pay any applicable taxes, including self-employment tax.\\n\\nIt's worth noting that not all 1099-MISC forms are created equal. There are different types of 1099 forms, such as:\\n\\n* 1099-MISC: Used for miscellaneous income\\n* 1099-K: Used for payment card and third-party network transactions\\n* 1099-INT: Used for interest income\\n* 1099-DIV: Used for dividend income\\n\\nAs a tax preparer, I would work with clients to ensure they accurately report all types of income on their tax return, including those reported on a 1099-MISC form.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that the IRS requires a 1099-MISC \u001b[0m\u001b[32m(\u001b[0m\u001b[32mMiscellaneous Income\u001b[0m\u001b[32m)\u001b[0m\u001b[32m form to be issued to independent contractors who have earned more than $600 in gross payments from a single payer during the calendar year.\\n\\nThe IRS defines an independent contractor as someone who is not considered an employee and is paid on a contract basis. This includes freelancers, consultants, independent contractors, and other self-employed individuals.\\n\\nTo qualify for a 1099-MISC form, the following conditions must be met:\\n\\n1. The payer must have paid more than $600 in gross payments to the same individual during the calendar year.\\n2. The payment is not subject to withholding \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., no taxes are withheld\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n3. The payment is made for services performed as an independent contractor.\\n\\nExamples of individuals who may receive a 1099-MISC form include:\\n\\n* Freelance writers, editors, and designers\\n* Independent contractors for construction or consulting work\\n* Self-employed artists, musicians, and performers\\n* Independent contractors for IT services\\n* Freelance photographers and videographers\\n\\nThe payer is responsible for issuing a 1099-MISC form to independent contractors by January 31st of each year, showing the amount paid to them during the previous tax year. The form must be sent to the contractor's address as it appears on file with the IRS.\\n\\nIt's worth noting that some payments may not require a 1099-MISC form, such as:\\n\\n* Payments made through a third-party payment service \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., PayPal\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Payments made for services performed by an employee or an employee of the payer\\n* Payments made to a business entity \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., S corporation, partnership\u001b[0m\u001b[32m)\u001b[0m\u001b[32m rather than an individual\\n\\nAs a tax preparer, I would advise clients who receive 1099-MISC forms to report these payments on their tax return and pay any applicable taxes due.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals can report their business expenses on their tax return.\\n\\nSelf-employed individuals who have a business or side hustle often face unique challenges when it comes to reporting their expenses. Here's a step-by-step guide on how they can report their business expenses:\\n\\n1. **Keep accurate records**: Self-employed individuals must keep detailed and organized records of all business-related expenses, including receipts, invoices, bank statements, and credit card statements. These records should be kept for at least three years in case of an audit.\\n2. **Categorize expenses**: Business expenses can be categorized into different types, such as:\\n\\t* Operating expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., rent, utilities, equipment, supplies\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Travel expenses\\n\\t* Home office expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif a dedicated space is used for business purposes\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Advertising and marketing expenses\\n\\t* Professional fees \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., lawyer, accountant, consultant\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n3. **Complete Form 1040**: Self-employed individuals report their business income and expenses on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is the form used to report net profit or loss from a business.\\n4. **Calculate business use percentage**: If you have a home office, you may be able to deduct a portion of your rent or mortgage interest as a business expense using Form 8829 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mExpenses for Business Use of Your Home\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. You'll need to calculate the business use percentage by dividing the square footage of the dedicated space used for business purposes by the total square footage of the home.\\n5. **Complete Schedule C**: On Schedule C, you'll report your business income and expenses, including:\\n\\t* Gross receipts\\n\\t* Cost of goods sold \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif applicable\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Operating expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., rent, utilities, supplies\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Travel expenses\\n\\t* Home office expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif applicable\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n6. **Calculate net profit or loss**: Calculate the net profit or loss from your business by subtracting total expenses from gross receipts.\\n7. **Complete Form 1040**: Report your net profit or loss on Line 21 of Form 1040.\\n8. **Claim deductions**: Claim deductions for eligible business expenses, such as:\\n\\t* Business use percentage of home office expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 8829\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Travel expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 2106\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Professional fees\\n\\t* Advertising and marketing expenses\\n9. **Keep records**: Keep all supporting documentation, including receipts, invoices, and bank statements, to support your deductions.\\n\\nSome additional tips:\\n\\n* Consult with a tax professional or accountant if you're unsure about any aspect of reporting business expenses.\\n* Consider using accounting software or apps to help track and organize your business expenses.\\n* Be aware that the IRS has specific rules and regulations regarding business expense deductions, so it's essential to follow these guidelines carefully.\\n\\nBy following these steps and keeping accurate records, self-employed individuals can ensure they're taking advantage of all eligible business expense deductions on their tax return.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The self-employment tax rate for net earnings from self-employment is 15.3% of your net earnings from self-employment, which includes income from freelance work, consulting, or running a business.\\n\\nThis rate consists of two parts:\\n\\n1. The employee portion: 12.4% \u001b[0m\u001b[32m(\u001b[0m\u001b[32m6.2% for Social Security and 6.2% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n2. The employer portion: 2.9% \u001b[0m\u001b[32m(\u001b[0m\u001b[32m1.45% for Social Security and 1.45% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nSince you are self-employed, you are both the employee and the employer, so you pay both parts of the tax.\\n\\nTo calculate your self-employment tax, you'll need to add the employee portion and the employer portion together:\\n\\n12.4% \u001b[0m\u001b[32m(\u001b[0m\u001b[32memployee portion\u001b[0m\u001b[32m)\u001b[0m\u001b[32m + 2.9% \u001b[0m\u001b[32m(\u001b[0m\u001b[32memployer portion\u001b[0m\u001b[32m)\u001b[0m\u001b[32m = 15.3%\\n\\nSo, for every dollar you earn from self-employment, you pay 15.3% in self-employment tax.\\n\\nKeep in mind that this rate applies to your net earnings from self-employment, which is your total income minus any business expenses and deductions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals can calculate their self-employment tax deduction.\\n\\nThe self-employment tax is used to fund Social Security and Medicare taxes for self-employed individuals. The amount of self-employment tax you pay depends on your net earnings from self-employment, which includes income from a business or freelance work.\\n\\nHere's the step-by-step process to calculate self-employment tax:\\n\\n1. **Calculate your net earnings from self-employment**: Start by calculating your total gross income from self-employment, including income from freelancing, consulting, or running a small business.\\n2. **Deduct business expenses**: Subtract business expenses related to your self-employment from your gross income. This includes expenses such as:\\n\\t* Business use of your home \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhome office deduction\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Travel expenses\\n\\t* Equipment and supplies\\n\\t* Rent or mortgage interest\\n\\t* Utilities\\n\\t* Insurance premiums\\n\\t* Advertising and marketing expenses\\n\\t* Professional fees \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., lawyer, accountant, etc.\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n3. **Calculate your net earnings from self-employment**: Subtract the business expenses from your gross income to get your net earnings from self-employment.\\n4. **Determine your self-employment tax rate**: The self-employment tax rate is 15.3% of your net earnings from self-employment, which includes:\\n\\t* 12.4% for Social Security \u001b[0m\u001b[32m(\u001b[0m\u001b[32mold-age, survivors, and disability insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* 2.9% for Medicare \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhospital insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n5. **Calculate your self-employment tax**: Multiply your net earnings from self-employment by the self-employment tax rate \u001b[0m\u001b[32m(\u001b[0m\u001b[32m15.3%\u001b[0m\u001b[32m)\u001b[0m\u001b[32m to calculate your self-employment tax.\\n6. **Optional: Calculate the self-employment tax deduction**: If you're eligible, you may be able to deduct half of your self-employment tax as a business expense on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. This can help reduce your taxable income and lower your overall tax liability.\\n\\nExample:\\n\\nLet's say John is a freelancer who earns $50,000 in gross income from his freelance work. He has business expenses of $10,000, which includes home office expenses, travel expenses, equipment, and supplies.\\n\\n1. Net earnings from self-employment: $50,000 - $10,000 = $40,000\\n2. Self-employment tax rate: 15.3% \u001b[0m\u001b[32m(\u001b[0m\u001b[32m12.4% for Social Security + 2.9% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n3. Self-employment tax: $40,000 x 15.3% = $6,120\\n4. Optional self-employment tax deduction: John may be able to deduct half of the self-employment tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32m$6,120 / 2\u001b[0m\u001b[32m)\u001b[0m\u001b[32m as a business expense on Schedule C.\\n\\nKeep in mind that this is just an example and actual calculations may vary depending on individual circumstances. It's always best to consult with a tax professional or accountant to ensure accurate calculations and maximize your deductions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that yes, self-employed individuals can deduct business expenses related to their home office. This is known as the Home Office Deduction.\\n\\nThe IRS allows self-employed individuals to deduct a portion of their rent or mortgage interest and utilities as a business expense if they use a dedicated space in their home regularly and exclusively for business purposes. The amount of the deduction depends on the square footage of the home office used for business, which can be calculated using one of two methods:\\n\\n1. **Simplified Option**: This method allows self-employed individuals to deduct $5 per square foot of home office space, up to a maximum of $1,500.\\n2. **Actual Expenses Method**: This method requires calculating the actual expenses related to the home office, such as rent or mortgage interest, utilities, insurance, and maintenance costs.\\n\\nTo qualify for the Home Office Deduction, the following conditions must be met:\\n\\n* The space used for business must be a regular and exclusive use of the home.\\n* The space must be used regularly and exclusively for business purposes \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., no personal activities\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n* The space must be used in connection with the conduct of a trade or business.\\n\\nSome examples of eligible expenses that can be deducted as part of the Home Office Deduction include:\\n\\n* Rent or mortgage interest\\n* Utilities \u001b[0m\u001b[32m(\u001b[0m\u001b[32melectricity, gas, water, etc.\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Insurance premiums\\n* Maintenance and repairs\\n* Depreciation on home office equipment\\n\\nHowever, some expenses are not eligible for deduction, such as:\\n\\n* Personal use of the space \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., a home office that is also used for personal activities like reading or watching TV\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Improvements made to the home that benefit both business and personal use \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., installing a new kitchen sink\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nIt's essential to keep accurate records of your home office expenses, including:\\n\\n* A log or calendar showing the dates and hours spent working from home\\n* Photos or measurements of the dedicated workspace\\n* Invoices and receipts for rent, utilities, insurance, and other expenses\\n\\nConsult with a tax professional, like myself, to ensure you're taking advantage of this valuable deduction and following the correct procedures.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals can calculate the business use percentage of their home.\\n\\nThe IRS allows self-employed individuals to deduct a portion of their rent or mortgage interest and utilities as a business expense if they use a dedicated space in their home regularly and exclusively for business. To calculate this deduction, you'll need to determine the business use percentage of your home.\\n\\nHere's a step-by-step process:\\n\\n1. **Determine the total square footage of your home**: Measure the total square footage of your home, including any additional living areas that are used for business.\\n2. **Measure the dedicated business space**: Measure the square footage of the area you use regularly and exclusively for business. This could be a home office, studio, or any other space where you conduct business activities.\\n3. **Calculate the total square footage ratio**: Divide the business space by the total home square footage to get the percentage of your home used for business.\\n\\nFor example:\\n\\n* Total home square footage: 1,500 sqft\\n* Business space \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhome office\u001b[0m\u001b[32m)\u001b[0m\u001b[32m: 200 sqft\\n\\nBusiness use percentage = \u001b[0m\u001b[32m(\u001b[0m\u001b[32m200 sqft / 1,500 sqft\u001b[0m\u001b[32m)\u001b[0m\u001b[32m x 100% = 13.33%\\n\\nThis means that 13.33% of your home is used for business.\\n\\n4. **Determine the actual expenses**: Calculate the total rent or mortgage interest and utilities you pay on your home, including any additional expenses like property taxes, insurance, and maintenance.\\n5. **Calculate the business use percentage of expenses**: Multiply the total expenses by the business use percentage calculated in step 3.\\n\\nFor example:\\n\\n* Total rent/mortgage interest: $1,500 per month\\n* Business use percentage: 13.33%\\n\\nBusiness use percentage of expenses = $1,500 x 0.1333 \u001b[0m\u001b[32m(\u001b[0m\u001b[32m13.33%\u001b[0m\u001b[32m)\u001b[0m\u001b[32m = $200\\n\\nThis means that you can deduct $200 from your business income as a home office expense.\\n\\n**Important notes:**\\n\\n* You must have a dedicated space for business and use it regularly and exclusively for business.\\n* The business use percentage should be reasonable and not excessive, as the IRS may scrutinize claims with high percentages.\\n* Keep accurate records of your expenses, including receipts, invoices, and photos of your home office, to support your calculation.\\n\\nRemember to consult with a tax professional or accountant if you're unsure about how to calculate the business use percentage of your home. They can help ensure you're taking advantage of all eligible deductions and following IRS guidelines.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The Tax Cuts and Jobs Act \u001b[0m\u001b[32m(\u001b[0m\u001b[32mTCJA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m made significant changes to the home office deduction, which was previously known as the home office expense deduction or the business use percentage method. Here are some key impacts of the TCJA on the home office deduction:\\n\\n1. **Simplified Option**: The TCJA introduced a simplified option for self-employed individuals and sole proprietors to deduct a fixed amount of $5 per square foot of home office space, up to a maximum of $1,500 \u001b[0m\u001b[32m(\u001b[0m\u001b[32m$30,000 total\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. This is a flat rate that doesn't require tracking expenses or calculating the business use percentage.\\n2. **Elimination of the Business Use Percentage Method**: The TCJA eliminated the business use percentage method, which allowed self-employed individuals and sole proprietors to calculate their home office deduction based on the square footage of the space used for business. This method was phased out over a three-year period from 2018 to 2025.\\n3. **No Deduction Limitations**: The TCJA eliminated the $25,000 limitation on the home office deduction that applied to self-employed individuals and sole proprietors who were not in the active conduct of a trade or business. This means that more self-employed individuals can now deduct their home office expenses without being subject to this limit.\\n4. **No Carryover**: The TCJA eliminated the ability to carry over unused home office deductions from 2018 to 2025, which was previously allowed under the previous law.\\n\\nOverall, the simplified option provides a more straightforward and easier-to-use method for self-employed individuals and sole proprietors to deduct their home office expenses. However, it's essential to note that this new method is only available to those who are not in the active conduct of a trade or business, such as freelancers, consultants, or independent contractors.\\n\\nIt's always recommended to consult with a tax professional to determine which option is best for your specific situation and to ensure you're taking advantage of all eligible deductions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that yes, self-employed individuals can deduct business meals on their tax return, but there are some rules and limitations to be aware of.\\n\\nThe IRS allows self-employed individuals to deduct the cost of business meals as a miscellaneous itemized deduction on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is used for sole proprietorships and single-member limited liability companies \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLLCs\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n\\nTo qualify for this deduction, the meal must meet certain requirements:\\n\\n1. The meal must be for business or business purposes.\\n2. The meal must be with a client, customer, or prospective client.\\n3. The meal cannot be primarily for entertainment or recreation.\\n\\nHere are some examples of eligible meals:\\n\\n* Business lunches with clients or customers\\n* Breakfast meetings with potential clients\\n* Traveling to and from a meeting or conference\\n* Meals at conferences or trade shows\\n\\nHowever, the following types of meals are not eligible for deduction:\\n\\n* Social gatherings, such as birthday parties or holiday celebrations\\n* Meals that are primarily for entertainment or recreation\\n* Meals that are not related to business activities\\n\\nTo deduct business meals, you'll need to keep accurate records, including:\\n\\n1. Receipts and invoices from the restaurant or catering service\\n2. A log of the date, time, location, and purpose of each meal\\n3. The names and titles of the individuals present \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif applicable\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nThe IRS allows a standard deduction of $5 per meal for meals with clients or customers, but this can be adjusted based on the cost of the meal.\\n\\nIt's also worth noting that the Tax Cuts and Jobs Act \u001b[0m\u001b[32m(\u001b[0m\u001b[32mTCJA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m suspended the 50% limit on business meal deductions from 2018 to 2025. However, after 2025, the 50% limit will return.\\n\\nAs a tax preparer, I always recommend keeping accurate records and consulting with a tax professional to ensure you're taking advantage of all eligible deductions and following the correct procedures for claiming business meals on your tax return.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals can report 1099 income from a partnership.\\n\\nWhen you're a partner in a partnership, you receive a Form 1099-K from the partnership at the end of each year. This form shows the total amount of money you received from the partnership during the tax year. However, as a self-employed individual, you need to report this income on your personal tax return.\\n\\nHere's how to report 1099 income from a partnership:\\n\\n1. **Report the income on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m**: You'll report the 1099-K income on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is the form used for self-employment income and expenses.\\n2. **Complete Form 1065**: As a partner, you're also required to file a partnership return with the IRS using Form 1065. This form reports the partnership's income, deductions, and credits. You'll need to attach this form to your personal tax return \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n3. **Report business use of home**: If you used a dedicated space in your home for business purposes, you may be able to deduct a portion of your rent or mortgage interest as a business expense on Schedule C.\\n4. **Business expenses**: You can also report business-related expenses on Schedule C, such as travel expenses, equipment purchases, and supplies.\\n5. **Self-employment tax**: As a self-employed individual, you're responsible for paying self-employment tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSE tax\u001b[0m\u001b[32m)\u001b[0m\u001b[32m on your net earnings from self-employment. This is reported on Schedule SE \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n6. **Estimated tax payments**: If you expect to owe more than $1,000 in taxes for the year, you may need to make estimated tax payments throughout the year using Form 1040-ES.\\n\\nSome important notes:\\n\\n* You'll need to keep accurate records of your partnership income and expenses, as well as any business-related documents, such as invoices, receipts, and bank statements.\\n* If you're a partner in a limited liability company \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLLC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, you may be able to report the income on Schedule C or Form 1040, depending on how the LLC is structured.\\n* It's always a good idea to consult with a tax professional or accountant to ensure you're meeting all the necessary reporting requirements and taking advantage of available deductions.\\n\\nI hope this helps! Let me know if you have any other questions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The penalty for not reporting 1099 income on a tax return can vary depending on several factors, including the amount of unreported income, the taxpayer's intent, and whether they have made an honest effort to comply with their tax obligations.\\n\\n Generally, the IRS imposes penalties for failing to report 1099 income on Form 1040. The penalty is calculated as follows:\\n\\n1. The first $500 of unreported 1099 income is not subject to penalty.\\n2. For amounts between $500 and $5,000, the penalty is 20% of the amount of unreported income.\\n3. For amounts over $5,000, the penalty is 40% of the amount of unreported income.\\n\\nIn addition to the penalty, you may also be subject to interest on the unreported income from the date it was due.\\n\\nIt's worth noting that there are some exceptions and mitigating factors that can affect the penalty, such as:\\n\\n* If you have an honest effort to comply with your tax obligations, but made a reasonable mistake or error.\\n* If you have filed Form 2210, which is used to request abatement of penalties for failure to report income.\\n* If you are a first-time filer and meet certain requirements.\\n\\nIt's always best to consult with a tax professional or the IRS directly to determine the specific penalty and any potential relief options.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I\\'d be happy to help clarify this for you.\\n\\nSelf-employed individuals can indeed deduct self-employment tax on their tax return, but there are some important nuances to understand.\\n\\nThe Self-Employment Tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSE\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is a type of payroll tax that covers Social Security and Medicare taxes. As a self-employed individual, you\\'re responsible for paying both the employer and employee portions of these taxes, which is why it\\'s called \"self-employment tax.\"\\n\\nTo deduct self-employment tax on your tax return, you\\'ll need to calculate the net earnings from self-employment and then subtract any qualified retirement plan contributions. Here are the steps:\\n\\n1. Calculate your net earnings from self-employment: This includes income from your business or freelance work, minus any business expenses.\\n2. Determine your self-employment tax liability: You can use Form 1040 to calculate this amount using Schedule SE \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSelf-Employment Tax\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n3. Subtract qualified retirement plan contributions: If you made contributions to a SEP-IRA, solo 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, or other qualified plans, you can subtract these contributions from your net earnings from self-employment.\\n4. Calculate the self-employment tax deduction: This is the amount of self-employment tax you paid during the year.\\n\\nThe standard rate for self-employment tax is 15.3% of your net earnings from self-employment, which includes:\\n\\n* 12.4% for Social Security \u001b[0m\u001b[32m(\u001b[0m\u001b[32mold-age, survivors, and disability insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* 2.9% for Medicare \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhospital insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nHowever, you may be able to deduct half of this amount as a business expense on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which can help reduce your taxable income.\\n\\nIt\\'s essential to note that the self-employment tax deduction is subject to certain limits and phase-outs. For example:\\n\\n* The net earnings from self-employment limit: If your net earnings from self-employment exceed $400, you\\'re required to make estimated tax payments throughout the year.\\n* Phase-out of self-employment tax deduction: If your adjusted gross income exceeds a certain threshold \u001b[0m\u001b[32m(\u001b[0m\u001b[32mcurrently $160,200 for single filers and $320,400 for joint filers\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, the self-employment tax deduction may be phased out.\\n\\nTo ensure accurate calculations and compliance with IRS regulations, it\\'s always best to consult with a tax professional or use tax preparation software that can guide you through the process.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I've seen my fair share of missing or incorrect 1099 forms from self-employed individuals. Here's how they typically handle these situations:\\n\\n**Missing 1099 Form:**\\n\\nIf a self-employed individual receives a missing 1099 form, they should follow these steps:\\n\\n1. **Contact the payer**: Reach out to the payer \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., client, contractor, or freelancer\u001b[0m\u001b[32m)\u001b[0m\u001b[32m and ask for a replacement copy of the 1099 form.\\n2. **Request an amended 1099**: If the payer is unable to provide a replacement copy, request that they file an amended 1099 with the IRS by the original filing deadline \u001b[0m\u001b[32m(\u001b[0m\u001b[32musually April 15th\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n3. **File Form 4852**: The self-employed individual may need to complete Form 4852, Substitute for Form W-2, Wage and Tax Statement, if they don't receive a 1099 form from their payer.\\n4. **Report income on Schedule C**: On their tax return \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, the self-employed individual will report the missing income on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is the business income and expenses schedule.\\n\\n**Incorrect 1099 Form:**\\n\\nIf a self-employed individual receives an incorrect 1099 form, they should:\\n\\n1. **Review the form carefully**: Check for any errors or discrepancies in the information reported.\\n2. **Contact the payer**: Reach out to the payer and request that they correct the error\u001b[0m\u001b[32m(\u001b[0m\u001b[32ms\u001b[0m\u001b[32m)\u001b[0m\u001b[32m on the 1099 form.\\n3. **Request a corrected 1099**: If the payer is unable to correct the error, ask them to file an amended 1099 with the IRS by the original filing deadline \u001b[0m\u001b[32m(\u001b[0m\u001b[32musually April 15th\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n4. **Report income correctly on Schedule C**: On their tax return \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, the self-employed individual will report the corrected income on Schedule C.\\n\\n**Additional Tips:**\\n\\n* Self-employed individuals should keep a record of all correspondence with their payer, including dates and details of conversations or emails.\\n* If the error is significant \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., incorrect amount or type of income\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, it may be beneficial to seek professional help from a tax preparer or accountant to ensure accurate reporting on their tax return.\\n* In some cases, self-employed individuals may need to file Form 1040X \u001b[0m\u001b[32m(\u001b[0m\u001b[32mAmended U.S. Individual Income Tax Return\u001b[0m\u001b[32m)\u001b[0m\u001b[32m if they discover errors or discrepancies after filing their original tax return.\\n\\nBy following these steps, self-employed individuals can minimize the impact of a missing or incorrect 1099 form and ensure accurate reporting on their tax return.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that yes, self-employed individuals can amend their tax return if they receive a corrected 1099 form.\\n\\nIf a self-employed individual receives a corrected 1099 form from an employer or client, it's essential to file an amended tax return \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040X\u001b[0m\u001b[32m)\u001b[0m\u001b[32m to reflect the corrected income. Here are some scenarios where amending is necessary:\\n\\n1. **Corrected income**: If the corrected 1099 form shows that you received more or less income than initially reported on your original tax return, you'll need to amend your return to reflect the correct amount.\\n2. **Incorrect income reporting**: If the corrected 1099 form indicates an error in the amount of income reported, such as a miscalculation or incorrect payment, you should file an amended return to correct this discrepancy.\\n3. **Missing income**: If the corrected 1099 form reveals that you missed reporting any income on your original tax return, you'll need to amend your return to include this additional income.\\n\\nTo amend your tax return, follow these steps:\\n\\n1. Gather all relevant documents, including the corrected 1099 form and any other supporting documentation.\\n2. Complete Form 1040X, which is the amended U.S. Individual Income Tax Return.\\n3. Attach a copy of the corrected 1099 form to the amended return.\\n4. File the amended return with the IRS by the original filing deadline \u001b[0m\u001b[32m(\u001b[0m\u001b[32musually April 15th for individual tax returns\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or within three years from the original filing date, whichever is later.\\n\\nKeep in mind that you'll need to provide documentation to support your amended return, such as:\\n\\n* The corrected 1099 form\\n* Any other relevant financial records, like bank statements or cancelled checks\\n* A written explanation of the error and how it was corrected\\n\\nIt's essential to note that amending a tax return can be complex, so if you're unsure about the process or need help with the amended return, consider consulting a tax professional, such as myself!\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that the deadline for receiving a 1099 form varies depending on the type of income and the payer.\\n\\nFor most types of income, such as freelance work, independent contracting, or self-employment income, the deadline for receiving a 1099-MISC \u001b[0m\u001b[32m(\u001b[0m\u001b[32mMiscellaneous Income\u001b[0m\u001b[32m)\u001b[0m\u001b[32m form is January 31st of each year. This means that by January 31st, you should receive a copy of your 1099-MISC from any payer who paid you $600 or more in a calendar year.\\n\\nHowever, there are some exceptions to this deadline:\\n\\n* For payments made through a third-party payment service, such as PayPal or Venmo, the deadline is February 1st.\\n* For payments made by a corporation, the deadline is January 31st for corporations that file Form 1099-K \u001b[0m\u001b[32m(\u001b[0m\u001b[32mPayment Card and Third-Party Network Transactions\u001b[0m\u001b[32m)\u001b[0m\u001b[32m with the IRS.\\n* For payments made to non-resident aliens, the deadline is March 15th.\\n\\nIt's also worth noting that some states may have different deadlines for receiving 1099 forms. As a tax preparer, I would recommend checking with your state's tax authority to confirm their specific deadline.\\n\\nAs a general rule of thumb, it's always best to receive your 1099 form by January 31st to ensure you can accurately report your income on your tax return and avoid any potential penalties or interest.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals can report 1099 income on their tax return.\\n\\nSelf-employment income is reported on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is the form used for sole proprietorships and single-member limited liability companies \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLLCs\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. Here's a step-by-step guide:\\n\\n1. **Gather all 1099 forms**: Collect all 1099-MISC forms from clients, customers, or vendors who paid you $600 or more in a calendar year. These forms will show the amount of money you earned from each client.\\n2. **Calculate business income**: Add up the total amount of 1099 income received throughout the year. This includes income from freelance work, consulting, selling products or services, and any other self-employment activities.\\n3. **Complete Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m**: On Schedule C, report your business income on Line 1. You'll also need to calculate your business expenses on this form, which will be discussed later.\\n4. **Calculate net profit or loss**: Subtract your business expenses from your business income on Line 2 of Schedule C. This will give you your net profit or loss for the year.\\n5. **Complete Form 1040**: Report your net profit or loss from Schedule C on Line 31 of Form 1040. If you have a net profit, this amount will be reported as ordinary income on your tax return.\\n\\n**Business Expenses:**\\n\\nAs a self-employed individual, you can deduct business expenses on Schedule C to reduce your taxable income. Common business expenses include:\\n\\n* Home office expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., rent, utilities, equipment\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Travel expenses\\n* Business use of your car or other vehicles\\n* Meals and entertainment expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32msubject to certain limits\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Business-related travel expenses\\n* Professional fees \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., lawyer, accountant, insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\n**Self-Employment Tax:**\\n\\nAs a self-employed individual, you're responsible for paying self-employment tax on your net earnings from self-employment. This tax is used to fund Social Security and Medicare. The self-employment tax rate is 15.3% of your net earnings from self-employment, which includes:\\n\\n* 12.4% for Social Security \u001b[0m\u001b[32m(\u001b[0m\u001b[32mold-age, survivors, and disability insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* 2.9% for Medicare \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhospital insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nYou'll report this tax on Schedule SE \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is attached to Form 1040.\\n\\n**Estimated Tax Payments:**\\n\\nAs a self-employed individual, you're required to make estimated tax payments throughout the year if you expect to owe $1,000 or more in taxes. You can use Form 1040-ES to make these payments.\\n\\nThat's a general overview of how self-employed individuals report 1099 income on their tax return. If you have any specific questions or concerns, it's always best to consult with a tax professional like myself for personalized guidance!\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to help clarify this for you.\\n\\nYes, self-employed individuals can deduct business expenses on their 1099 income. In fact, one of the benefits of being self-employed is that you can deduct business expenses related to your trade or business as an expense on your tax return.\\n\\nThe IRS allows self-employed individuals to deduct business expenses on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is used to report business income and expenses. This includes:\\n\\n1. Business use of your home: If you use a dedicated space in your home for business, you can deduct the business use percentage of your rent or mortgage interest, utilities, and other expenses.\\n2. Business travel expenses: You can deduct expenses related to business travel, such as transportation, meals, lodging, and entertainment.\\n3. Equipment and supplies: You can deduct the cost of equipment, software, and supplies used for your business.\\n4. Advertising and marketing expenses: You can deduct expenses related to promoting your business, such as website development, advertising, and promotional materials.\\n5. Business use of your car: If you use your car for business purposes, you can deduct the business use percentage of your car expenses, including gas, maintenance, and insurance.\\n6. Professional fees: You can deduct fees paid to professionals, such as lawyers, accountants, and consultants, who provide services related to your business.\\n7. Business education and training: You can deduct expenses related to courses or workshops that improve your skills or knowledge in your trade or business.\\n\\nTo qualify for these deductions, you must have records to support the expense, including receipts, invoices, and bank statements. It's also important to keep accurate records of your business income and expenses throughout the year, as this will help you complete your tax return accurately and avoid any potential audits.\\n\\nSome important notes:\\n\\n* You can only deduct expenses that are directly related to your business.\\n* You cannot deduct personal expenses, such as charitable donations or medical expenses, unless they are also business-related.\\n* The IRS has specific rules for deducting home office expenses, including the 5% rule, which allows you to deduct a portion of your rent or mortgage interest based on the square footage used for business.\\n\\nIt's always a good idea to consult with a tax professional, like myself, to ensure you're taking advantage of all the deductions available to you and following the IRS guidelines.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals calculate their self-employment tax.\\n\\nSelf-employment tax is used to fund Social Security and Medicare, just like payroll taxes for employees. However, self-employed individuals are responsible for paying both the employee and employer portions of these taxes, which can add up quickly.\\n\\nHere's a step-by-step guide on how self-employed individuals calculate their self-employment tax:\\n\\n1. **Calculate your net earnings from self-employment**: Start by calculating your total income from all sources related to your business or freelance work. This includes:\\n\\t* Business income \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., cash, checks, credit card payments\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Freelance income\\n\\t* Rent or royalty income\\n\\t* Any other income related to your business\\n2. **Deduct business expenses**: Subtract business expenses from your total income to determine your net earnings from self-employment. This will help reduce your taxable income.\\n3. **Calculate the self-employment tax rate**: The self-employment tax rate is 15.3% of your net earnings from self-employment, which includes:\\n\\t* 12.4% for Social Security \u001b[0m\u001b[32m(\u001b[0m\u001b[32mold-age, survivors, and disability insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* 2.9% for Medicare \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhospital insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n4. **Calculate the self-employment tax**: Multiply your net earnings from self-employment by the self-employment tax rate \u001b[0m\u001b[32m(\u001b[0m\u001b[32m15.3%\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. This will give you the total amount of self-employment tax due.\\n5. **Add half of your Social Security tax to your income**: Since self-employed individuals pay both the employee and employer portions of payroll taxes, you'll need to add half of your Social Security tax to your income. This is calculated as:\\n\\t* 6.2% of your net earnings from self-employment \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhalf of the 12.4% rate\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n6. **Calculate your total self-employment tax**: Add the self-employment tax and the additional Social Security tax to get your total self-employment tax liability.\\n\\nExample:\\n\\nLet's say you have a net income from self-employment of $50,000 and business expenses of $20,000, leaving you with $30,000 in taxable income. Your self-employment tax rate is 15.3%.\\n\\n1. Calculate the self-employment tax: $30,000 x 15.3% = $4,590\\n2. Add half of your Social Security tax: $30,000 x 6.2% = $1,860\\n3. Calculate your total self-employment tax: $4,590 + $1,860 = $6,450\\n\\nIn this example, the self-employed individual would need to pay a total of $6,450 in self-employment tax.\\n\\nKeep in mind that you can deduct half of your self-employment tax as a business expense on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which can help reduce your taxable income. It's always a good idea to consult with a tax professional or accountant to ensure accurate calculations and to take advantage of any available deductions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I can tell you that self-employment tax applies to income from various sources, including:\\n\\n1. **Business income**: Income earned from running your own business, such as freelancing, consulting, or starting a side hustle.\\n2. **Self-employment income**: Income earned from working for yourself, such as:\\n\\t* Independent contractor work\\n\\t* Freelance writing, designing, or other creative services\\n\\t* Renting out a room on Airbnb\\n\\t* Selling products online through an e-commerce platform\\n3. **Unemployment benefits**: Some states tax unemployment benefits as self-employment income.\\n4. **Alimony paid to ex-spouses**: Alimony payments made by one spouse to the other are considered self-employment income and subject to self-employment tax.\\n5. **Royalties**: Income from intellectual property, such as book royalties or music royalties, is also subject to self-employment tax.\\n\\nSelf-employment tax applies because you\\'re considered self-employed and must report this income on your tax return. As a self-employed individual, you\\'re responsible for paying both the employee and employer portions of payroll taxes, which includes:\\n\\n* 12.4% for Social Security \u001b[0m\u001b[32m(\u001b[0m\u001b[32mold-age, survivors, and disability insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* 2.9% for Medicare \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhospital insurance\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nThis total is often referred to as your \"self-employment tax rate.\" You\\'ll need to pay this amount on a quarterly basis using Form 1040-ES.\\n\\nKeep in mind that some states may have different rules or exemptions from self-employment tax, so it\\'s always best to consult with a tax professional or check with your state\\'s tax authority for specific guidance.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals can report their business income and expenses.\\n\\nSelf-employed individuals who have a business or freelance work must report their income and expenses on their personal tax return. Here's a step-by-step guide:\\n\\n**Reporting Business Income:**\\n\\n1. **Business Income:** Self-employed individuals must report all business income, including:\\n\\t* Cash payments from clients\\n\\t* Accounts receivable \u001b[0m\u001b[32m(\u001b[0m\u001b[32mamounts owed to them by customers\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Interest income from business-related investments\\n\\t* Royalties or other passive income\\n2. **Self-Employment Tax:** If you're self-employed, you'll need to pay self-employment tax on your net earnings from self-employment. This includes:\\n\\t* Net earnings from self-employment \u001b[0m\u001b[32m(\u001b[0m\u001b[32mbusiness income minus business expenses\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Half of your net earnings from self-employment \u001b[0m\u001b[32m(\u001b[0m\u001b[32mfor Social Security and Medicare taxes\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\n**Reporting Business Expenses:**\\n\\n1. **Business Expense Records:** Keep accurate records of all business-related expenses, including:\\n\\t* Receipts\\n\\t* Invoices\\n\\t* Bank statements\\n\\t* Credit card statements\\n2. **Business Expense Categories:** Categorize your expenses into the following categories:\\n\\t* Operating expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., rent, utilities, supplies\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Business use of your home \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif you work from home\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Travel expenses\\n\\t* Advertising and marketing expenses\\n\\t* Professional fees \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., lawyer, accountant\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n3. **Business Expense Deductions:** Claim deductions for business expenses that are ordinary and necessary for the operation of your business.\\n\\n**Common Business Expense Deductions:**\\n\\n1. Home office deduction \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif you work from home\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n2. Business use of your car\\n3. Travel expenses \u001b[0m\u001b[32m(\u001b[0m\u001b[32mmileage, meals, lodging\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n4. Professional fees \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., lawyer, accountant\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n5. Advertising and marketing expenses\\n\\n**Reporting Business Expenses on the Tax Return:**\\n\\n1. **Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m:** Complete Schedule C to report business income and expenses.\\n2. **Business Use of Your Home:** If you work from home, complete Form 8829 to calculate your home office deduction.\\n3. **Business Expense Deductions:** Report business expense deductions on Schedule A \u001b[0m\u001b[32m(\u001b[0m\u001b[32mItemized Deductions\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or on a separate form \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., Form 2106 for car expenses\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n\\n**Important Notes:**\\n\\n1. Keep accurate records of all business income and expenses throughout the year, as these will be used to complete your tax return.\\n2. Consult with a tax professional if you're unsure about any aspect of reporting business income and expenses.\\n3. Self-employed individuals may need to file additional forms, such as Form 1040-ES \u001b[0m\u001b[32m(\u001b[0m\u001b[32mEstimated Tax for Individuals\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or Schedule SE \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSelf-Employment Tax\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n\\nRemember, accurate and timely reporting of business income and expenses is crucial to avoid penalties and interest on underreported income or unclaimed deductions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The self-employment tax rate for net earnings from self-employment is 15.3% of your net earnings from self-employment, which includes income from freelance work, consulting, or running a business.\\n\\nThis rate consists of two parts:\\n\\n1. The employee portion: 12.4% \u001b[0m\u001b[32m(\u001b[0m\u001b[32m6.2% for Social Security and 6.2% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n2. The employer portion: 2.9% \u001b[0m\u001b[32m(\u001b[0m\u001b[32m1.45% for Social Security and 1.45% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nSince you are self-employed, you are both the employee and the employer, so you pay both parts of the tax.\\n\\nTo calculate your self-employment tax, you'll need to add the employee portion and the employer portion together:\\n\\n12.4% \u001b[0m\u001b[32m(\u001b[0m\u001b[32memployee portion\u001b[0m\u001b[32m)\u001b[0m\u001b[32m + 2.9% \u001b[0m\u001b[32m(\u001b[0m\u001b[32memployer portion\u001b[0m\u001b[32m)\u001b[0m\u001b[32m = 15.3%\\n\\nSo, for every dollar you earn from self-employment, you pay 15.3% in self-employment tax.\\n\\nKeep in mind that this rate applies to your net earnings from self-employment, which is your total income minus any business expenses and deductions.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that yes, self-employed individuals can deduct business use of their home as a business expense, but there are some requirements and limitations to be aware of.\\n\\nTo qualify for the home office deduction, the space used for business must meet certain criteria:\\n\\n1. **Business use percentage**: The space must be used regularly and exclusively for business purposes. This means that you can't simply convert a spare room into a home office just to claim a deduction.\\n2. **Business use of at least 5%**: The space must be used by the self-employed individual for business purposes for at least 5% of the total square footage of the home.\\n3. **Home office is used as a regular and necessary business expense**: The home office must be used regularly and be necessary for the conduct of your trade or business.\\n\\nTo calculate the deduction, you'll need to determine the business use percentage of your home. You can do this by:\\n\\n1. Measuring the square footage of the space used for business.\\n2. Calculating the total square footage of your home.\\n3. Dividing the business use square footage by the total square footage.\\n\\nFor example, if your home office is 100 square feet and your total home size is 1,500 square feet, you can calculate the business use percentage as follows:\\n\\nBusiness use percentage = \u001b[0m\u001b[32m(\u001b[0m\u001b[32m100 sq ft / 1,500 sq ft\u001b[0m\u001b[32m)\u001b[0m\u001b[32m x 100% = 6.67%\\n\\nOnce you have the business use percentage, you can deduct a portion of your rent or mortgage interest and utilities as a business expense.\\n\\n**Types of expenses that can be deducted:**\\n\\n* Rent or mortgage interest\\n* Property taxes \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif not included in the mortgage\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Utilities \u001b[0m\u001b[32m(\u001b[0m\u001b[32melectricity, gas, water, internet, etc.\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Home maintenance and repairs\\n\\n**Record-keeping is key:**\\n\\nTo support your home office deduction, keep accurate records of:\\n\\n1. Business use percentage calculations\\n2. Square footage measurements\\n3. Rent or mortgage statements\\n4. Utility bills\\n5. Maintenance and repair receipts\\n\\nIt's essential to maintain these records for at least 3 years in case of an audit.\\n\\n**Important notes:**\\n\\n* The home office deduction is subject to the $25,000 limit per year \u001b[0m\u001b[32m(\u001b[0m\u001b[32mpre-2018\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or $10,000 limit per year \u001b[0m\u001b[32m(\u001b[0m\u001b[32mpost-2017\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n* If you're married and file jointly, you can deduct half of the business use percentage.\\n* You may need to complete Form 8829 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mExpenses for Business Use of Your Home\u001b[0m\u001b[32m)\u001b[0m\u001b[32m to claim the deduction.\\n\\nAs a tax preparer, I recommend consulting with me or a qualified tax professional to ensure you meet all the requirements and follow the correct procedures for claiming the home office deduction.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals calculate their net earnings from self-employment for self-employment tax purposes.\\n\\nSelf-employment income is subject to both the employee and employer portions of payroll taxes, which includes Social Security and Medicare taxes. As a self-employed individual, you are responsible for paying both the employee and employer portions of these taxes, which can be a bit more complicated than just taking the standard deduction.\\n\\nTo calculate net earnings from self-employment, follow these steps:\\n\\n1. **Calculate your total gross income**: Start by calculating your total gross income from all sources, including:\\n\\t* Business income \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., freelance work, consulting, or running a business\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Rent or royalty income\\n\\t* Interest, dividends, and capital gains\\n2. **Deduct business expenses**: Subtract business expenses related to your self-employment income, such as:\\n\\t* Business use of your home \u001b[0m\u001b[32m(\u001b[0m\u001b[32mhome office deduction\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* Travel expenses\\n\\t* Equipment, supplies, and materials\\n\\t* Rent or mortgage interest\\n\\t* Utilities\\n\\t* Insurance premiums\\n\\t* Advertising and marketing expenses\\n\\t* Professional fees \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., lawyer, accountant, or consultant fees\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n3. **Calculate net earnings from self-employment**: Subtract your business expenses from your total gross income to get your net earnings from self-employment.\\n4. **Calculate the self-employment tax**: Calculate the self-employment tax by using Schedule SE \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m and the following formula:\\n\\nSelf-Employment Tax = Net Earnings from Self-Employment x 15.3% \u001b[0m\u001b[32m(\u001b[0m\u001b[32m12.4% for Social Security + 2.9% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nThis rate is applied to your net earnings from self-employment, but you can deduct half of this amount as a credit on Schedule SE.\\n\\n5. **Calculate the self-employment tax deduction**: You can deduct half of your self-employment tax as an above-the-line deduction on Form 1040, which reduces your taxable income.\\n6. **Report net earnings from self-employment on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m**: Report your net earnings from self-employment on Schedule C, which is the business income and expense schedule.\\n\\nExample:\\n\\nLet's say John is a freelancer who earns $50,000 in gross income from his freelance work. He has business expenses of $15,000, including home office expenses, travel expenses, and equipment purchases. His net earnings from self-employment would be:\\n\\nNet Earnings from Self-Employment = Gross Income - Business Expenses\\\u001b[0m\u001b[32mn\u001b[0m\u001b[32m= $50,000 - $15,000\\\u001b[0m\u001b[32mn\u001b[0m\u001b[32m= $35,000\\n\\nTo calculate the self-employment tax:\\n\\nSelf-Employment Tax = Net Earnings from Self-Employment x 15.3%\\\u001b[0m\u001b[32mn\u001b[0m\u001b[32m= $35,000 x 0.153\\\u001b[0m\u001b[32mn\u001b[0m\u001b[32m= $5,405\\n\\nJohn would report his net earnings from self-employment on Schedule C and pay self-employment tax of $5,405. He can deduct half of this amount as a credit on Schedule SE.\\n\\nKeep in mind that this is just an example, and your specific situation may be more complex. It's always best to consult with a tax professional or accountant to ensure you're accurately calculating your net earnings from self-employment and taking advantage of all the deductions available to you.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I can tell you that yes, self-employed individuals can deduct their health insurance premiums as a business expense on their tax return.\\n\\nThe IRS allows self-employed individuals to deduct the cost of health insurance premiums for themselves and their family members as a business expense if they are required to pay these premiums because of their self-employment income. This is known as the \"self-employment health plan deduction.\"\\n\\nTo qualify for this deduction, you must meet certain requirements:\\n\\n1. You must be self-employed and have net earnings from self-employment of $100 or more.\\n2. You must purchase a qualified health insurance policy that covers you and your family members.\\n3. The policy must be purchased through the Health Insurance Marketplace \u001b[0m\u001b[32m(\u001b[0m\u001b[32malso known as an \"individual shared responsibility payment\"\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or through a group plan offered by an employer.\\n\\nThe deduction is calculated based on the amount of premiums paid for yourself, your spouse, and any dependents who are covered under the policy. You can deduct the full premium amount, but you may need to adjust it if you have other sources of income that reduce your self-employment net earnings from self-employment.\\n\\nHere\\'s an example:\\n\\nLet\\'s say John is a sole proprietor with $50,000 in net earnings from self-employment and he pays $1,500 per month for health insurance premiums. He can deduct the full $1,500 as a business expense on his tax return.\\n\\nHowever, if John has other sources of income that reduce his net earnings from self-employment to $40,000, he can only deduct the amount of the premium that reduces his net earnings by $10,000 \u001b[0m\u001b[32m(\u001b[0m\u001b[32m$50,000 - $40,000 = $10,000\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. In this case, John would deduct $1,500 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mthe full premium\u001b[0m\u001b[32m)\u001b[0m\u001b[32m minus $10,000 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mthe reduced net earnings\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is $900.\\n\\nIt\\'s always a good idea to keep accurate records of your health insurance premiums and other business expenses to ensure you can accurately calculate the deduction on your tax return.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I\\'d be happy to explain the differences between a sole proprietorship and a single-member Limited Liability Company \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLLC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m for tax purposes.\\n\\n**Sole Proprietorship:**\\n\\nA sole proprietorship is a business owned and operated by one individual. The owner reports their business income on their personal tax return \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. As a sole proprietor, the business income is reported as \"net earnings from self-employment\" on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is attached to the personal tax return.\\n\\nThe key characteristics of a sole proprietorship for tax purposes are:\\n\\n* The owner reports all business income and expenses on their personal tax return.\\n* Business losses can be used to offset other income, but not carried over to future years.\\n* Self-employment taxes \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSocial Security and Medicare taxes\u001b[0m\u001b[32m)\u001b[0m\u001b[32m are calculated based on net earnings from self-employment.\\n\\n**Single-Member LLC:**\\n\\nA single-member Limited Liability Company \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLLC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, also known as a \"disregarded entity,\" is a business owned by one individual. For tax purposes, the single-member LLC is treated as a sole proprietorship. The owner reports all business income and expenses on their personal tax return \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n\\nHowever, there are some key differences:\\n\\n* A single-member LLC can elect to be taxed as a pass-through entity, meaning that the business income is passed through to the individual\\'s personal tax return, just like a sole proprietorship.\\n* Business losses can be carried over to future years and used to offset other income.\\n* Self-employment taxes are calculated based on net earnings from self-employment.\\n\\n**Key differences:**\\n\\nThe main difference between a single-member LLC and a sole proprietorship is the level of liability protection. As a sole proprietor, the owner\\'s personal assets are at risk in case of business debts or lawsuits. In contrast, a single-member LLC provides some level of liability protection, as the business is separate from the individual.\\n\\nHowever, for tax purposes, a single-member LLC and a sole proprietorship are treated similarly. The business income is reported on the same tax return, and self-employment taxes are calculated in the same way.\\n\\n**When to choose an LLC:**\\n\\nWhile a single-member LLC may not provide significant tax benefits over a sole proprietorship, there are situations where it might be beneficial:\\n\\n* Liability protection: If you want to protect your personal assets from business debts or lawsuits.\\n* Flexibility: An LLC can elect to be taxed as a pass-through entity, which allows for more control over taxes and flexibility in the future.\\n\\nIn summary, while both sole proprietorships and single-member LLCs are treated similarly for tax purposes, an LLC provides some level of liability protection that may be attractive to business owners. However, the tax benefits are relatively minor, and the decision ultimately depends on your individual circumstances and goals.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I'd be happy to explain how self-employed individuals can report self-employment income from a partnership.\\n\\nWhen it comes to reporting self-employment income from a partnership, there are some specific rules and requirements that need to be followed. Here's a step-by-step guide:\\n\\n1. **Form 1065**: The partnership must file Form 1065, U.S. Return of Partnership Income \u001b[0m\u001b[32m(\u001b[0m\u001b[32mInformation\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, with the IRS by March 15th of each year. This form reports the partnership's income, deductions, and credits.\\n2. **K-1 Forms**: Each partner receives a Schedule K-1 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1065\u001b[0m\u001b[32m)\u001b[0m\u001b[32m from the partnership, which shows their share of the partnership's income, deductions, and credits for the tax year. The K-1 forms are used by each partner to report their individual tax return.\\n3. **Self-Employment Income**: Self-employment income from a partnership is reported on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is the form used to report business income and expenses. The self-employment income includes:\\n\\t* Business income from the partnership\\n\\t* Any other self-employment income, such as freelance work or consulting fees\\n4. **Business Expenses**: Self-employed individuals can deduct business expenses related to their partnership activities on Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. These expenses may include:\\n\\t* Business use of a home or car\\n\\t* Travel expenses\\n\\t* Equipment and supplies\\n\\t* Rent or mortgage interest\\n\\t* Utilities\\n5. **Self-Employment Tax**: Self-employed individuals must pay self-employment tax, which includes both the employee and employer portions of payroll taxes \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSocial Security and Medicare taxes\u001b[0m\u001b[32m)\u001b[0m\u001b[32m. This is reported on Schedule SE \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n6. **Estimated Taxes**: Self-employed individuals are required to make estimated tax payments throughout the year if they expect to owe $1,000 or more in taxes for the year. These payments are made using Form 1040-ES.\\n7. **Quarterly Estimated Tax Payments**: The due dates for quarterly estimated tax payments are:\\n\\t* April 15th for Q1 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mJanuary 1 - March 31\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* June 15th for Q2 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mApril 1 - May 31\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* September 15th for Q3 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mJune 1 - August 31\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\t* January 15th of the following year for Q4 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSeptember 1 - December 31\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nIt's essential to note that self-employed individuals may need to file additional forms, such as Form 8829 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mExpenses for Business Use of Your Home\u001b[0m\u001b[32m)\u001b[0m\u001b[32m if they use a home office for business purposes.\\n\\nAs a tax preparer, I would work with the partnership and each partner to ensure accurate reporting of self-employment income from the partnership on their individual tax returns.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"As a tax preparer, I can tell you that yes, self-employed individuals can deduct their retirement plan contributions as a business expense on their tax return.\\n\\nSelf-employment income is subject to self-employment taxes, which include both the employee and employer portions of payroll taxes. However, self-employed individuals can deduct half of their net earnings from self-employment, including retirement plan contributions, as a business expense.\\n\\nThere are several types of retirement plans that qualify for deduction as a business expense:\\n\\n1. SEP-IRA \u001b[0m\u001b[32m(\u001b[0m\u001b[32mSimplified Employee Pension Individual Retirement Account\u001b[0m\u001b[32m)\u001b[0m\u001b[32m: Contributions to a SEP-IRA are deductible as a business expense.\\n2. Solo 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or Individual 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m: Contributions to a solo 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or individual 401\u001b[0m\u001b[32m(\u001b[0m\u001b[32mk\u001b[0m\u001b[32m)\u001b[0m\u001b[32m plan are deductible as a business expense.\\n3. Traditional IRA: Contributions to a traditional IRA may be deductible as a business expense, but only if the self-employed individual is not covered by another retirement plan at work.\\n4. Solo 403\u001b[0m\u001b[32m(\u001b[0m\u001b[32mb\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or Thrift Savings Plan: Contributions to a solo 403\u001b[0m\u001b[32m(\u001b[0m\u001b[32mb\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or thrift savings plan are deductible as a business expense.\\n\\nTo qualify for this deduction, you must meet certain requirements, such as:\\n\\n* Being self-employed and having net earnings from self-employment\\n* Making contributions to the retirement plan within the plan's contribution limits\\n* Having a valid business purpose for making the contributions \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., to save for retirement\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nIt's essential to keep accurate records of your retirement plan contributions, including receipts, bank statements, and any other documentation that supports your deductions. You should also consult with a tax professional or financial advisor to ensure you're meeting all the requirements and taking advantage of the deductions available to you.\\n\\nKeep in mind that deducting retirement plan contributions as a business expense can impact your self-employment taxes, so it's crucial to understand how this affects your overall tax situation.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I\\'d be happy to explain how self-employed individuals can calculate their self-employment tax on a net loss from self-employment.\\n\\nSelf-employment tax is used to fund Social Security and Medicare. As a self-employed individual, you are responsible for paying both the employee and employer portions of these taxes, which is why it\\'s called \"self-employment tax.\" The self-employment tax rate is 15.3% of your net earnings from self-employment, which includes income from freelance work, consulting, or running a business.\\n\\nTo calculate self-employment tax on a net loss from self-employment, you\\'ll need to follow these steps:\\n\\n1. Calculate your net profit or loss from self-employment: Start by calculating your total gross income from self-employment and subtract any business expenses, deductions, and credits that reduce your taxable income.\\n2. Determine your net earnings from self-employment: This is the amount of money you have left after deducting all eligible business expenses and other deductions from your gross income.\\n3. Calculate the self-employment tax: Multiply your net earnings from self-employment by 15.3% \u001b[0m\u001b[32m(\u001b[0m\u001b[32m12.4% for Social Security and 2.9% for Medicare\u001b[0m\u001b[32m)\u001b[0m\u001b[32m.\\n4. Consider any adjustments to the self-employment tax rate: If you\\'re eligible for certain deductions or credits that reduce your taxable income, such as the home office deduction or business use of your car, these may affect your self-employment tax rate.\\n\\nHere\\'s an example:\\n\\nLet\\'s say John is a freelancer who earns $50,000 in gross income from his freelance work. He has business expenses of $20,000 and other deductions that reduce his taxable income to $30,000. His net earnings from self-employment are $30,000.\\n\\nTo calculate the self-employment tax:\\n\\n1. Calculate net earnings: $30,000 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mnet earnings\u001b[0m\u001b[32m)\u001b[0m\u001b[32m - $0 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mno business use of home or car expenses in this example\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n2. Calculate self-employment tax: 15.3% of $30,000 = $4,590\\n\\nIn this example, John\\'s self-employment tax would be $4,590.\\n\\nHowever, if John has a net loss from self-employment, he can deduct the loss on his tax return and reduce his taxable income. If John has a net loss of $10,000, his new net earnings from self-employment would be:\\n\\n$30,000 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mprevious net earnings\u001b[0m\u001b[32m)\u001b[0m\u001b[32m - $10,000 \u001b[0m\u001b[32m(\u001b[0m\u001b[32mnet loss\u001b[0m\u001b[32m)\u001b[0m\u001b[32m = $20,000\\n\\nTo calculate the self-employment tax on this reduced amount:\\n\\n1. Calculate net earnings: $20,000\\n2. Calculate self-employment tax: 15.3% of $20,000 = $3,060\\n\\nIn this example, John\\'s self-employment tax would be $3,060.\\n\\nKeep in mind that these are simplified examples and actual calculations may vary depending on individual circumstances. It\\'s always a good idea to consult with a tax professional or accountant to ensure accurate calculations and take advantage of all eligible deductions and credits.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I can provide guidance on this topic.\\n\\nSelf-employed individuals can indeed deduct business expenses related to the production of income that is exempt from self-employment tax. However, there are some important nuances to consider:\\n\\n1. **Business income must be subject to self-employment tax**: Self-employment tax applies to net earnings from self-employment, which includes income from a trade or business. If you have income that is not subject to self-employment tax, such as interest, dividends, or capital gains, you cannot deduct business expenses related to that income.\\n2. **Business use percentage**: To qualify for the deduction, the business expense must be directly related to the production of income that is subject to self-employment tax. You can only deduct a portion of your total business expenses based on the amount of time spent working in the trade or business. This is known as the \"business use percentage.\"\\n3. **Business use percentage calculation**: To calculate the business use percentage, you\\'ll need to keep accurate records of your business and personal activities. You can use methods such as:\\n\\t* Time tracking: Record the number of hours worked on business versus personal activities.\\n\\t* Logbook or journal: Keep a log of business-related activities, including dates, times, and purposes.\\n\\t* Mileage log: If you drive for business, keep track of miles driven for business purposes.\\n4. **Deduction limits**: The IRS allows self-employed individuals to deduct business expenses up to the amount of their net earnings from self-employment. This means that if your net earnings are $100,000, and you have $50,000 in business expenses, you can only deduct up to $50,000.\\n\\nExamples of business expenses that may be deductible for income exempt from self-employment tax include:\\n\\n* Rent or mortgage interest \u001b[0m\u001b[32m(\u001b[0m\u001b[32mif used for a home office\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Utilities \u001b[0m\u001b[32m(\u001b[0m\u001b[32melectricity, gas, water, internet\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Office supplies\\n* Travel expenses related to business activities\\n* Meals and entertainment \u001b[0m\u001b[32m(\u001b[0m\u001b[32msubject to certain limits\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n\\nHowever, some expenses are not deductible, such as:\\n\\n* Personal use of your car \u001b[0m\u001b[32m(\u001b[0m\u001b[32munless you have a dedicated business vehicle\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n* Home improvements or renovations\\n* Business use of personal phone or computer\\n\\nIt\\'s essential to keep accurate records and consult with a tax professional to ensure you\\'re taking advantage of the deductions you\\'re eligible for.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'As a tax preparer, I\\'d be happy to help clarify how self-employed individuals can report their income from a business with both self-employment income and income that is exempt from self-employment tax.\\n\\nSelf-employment income includes earnings from a trade or business, such as freelancing, consulting, or running a small business. However, not all self-employment income is subject to self-employment tax. Some types of income are exempt from self-employment tax, such as:\\n\\n1. Income earned by employees who are considered employees for tax purposes \u001b[0m\u001b[32m(\u001b[0m\u001b[32me.g., W-2 income\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n2. Income earned by individuals with disabilities or certain medical conditions that prevent them from working\\n3. Income earned by individuals who are retired or disabled and receiving Social Security benefits\\n\\nTo report self-employment income, the individual must complete Form 1040 and Schedule C \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is used to report business income and expenses. The self-employed individual will report their total net earnings from self-employment on Line 1 of Schedule C.\\n\\nHowever, if some of the self-employment income is exempt from self-employment tax, it\\'s essential to report that income separately. Here are a few scenarios:\\n\\nScenario 1: Exempt income is not subject to self-employment tax\\n\\nIf the business has both self-employment income and exempt income, the individual should report the exempt income on their tax return as ordinary income on Line 21 of Form 1040. The self-employment income will still be reported on Schedule C.\\n\\nScenario 2: Exempt income is subject to self-employment tax\\n\\nIf the business has both self-employment income and exempt income that is subject to self-employment tax, the individual should report the exempt income as \"Other Income\" on Line 21 of Form 1040. The self-employment income will still be reported on Schedule C.\\n\\nScenario 3: Exempt income is not subject to self-employment tax, but it\\'s also not ordinary income\\n\\nIf the business has both self-employment income and exempt income that are not subject to self-employment tax, the individual should report the exempt income as \"Other Income\" on Line 21 of Form 1040. The self-employment income will still be reported on Schedule C.\\n\\nIn all cases, the individual must also complete Schedule SE \u001b[0m\u001b[32m(\u001b[0m\u001b[32mForm 1040\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, which is used to calculate and pay self-employment tax. However, if some of the exempt income is not subject to self-employment tax, the individual may not need to pay self-employment tax on that amount.\\n\\nIt\\'s essential for self-employed individuals to keep accurate records of their business income and expenses to ensure they accurately report their income and claim any applicable deductions. It\\'s also recommended that they consult with a tax professional or accountant to ensure compliance with all tax laws and regulations.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[1m]\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mscores\u001b[0m=\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[32m'braintrust::answer-similarity'\u001b[0m: \u001b[1;35mScoringResult\u001b[0m\u001b[1m(\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[33maggregated_results\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'average'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'average'\u001b[0m: \u001b[1;36m0.4899263859389534\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[33mscore_rows\u001b[0m=\u001b[1m[\u001b[0m\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5540326316427405\u001b[0m, \u001b[32m'metadata'\u001b[0m: 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"\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6707352238393781\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5844465262881663\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6193049787006669\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.19265334618395002\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.3475911229721721\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.37030823883470115\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.25236308267577573\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5402693248940148\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5971543063171332\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ 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\u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.4140458125149959\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[1m]\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m)\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[1m)\u001b[0m\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "eval_rows = client.datasetio.get_rows_paginated(\n", + " dataset_id=\"eval_dataset\",\n", + " limit=-1,\n", + ")\n", + "\n", + "from tqdm import tqdm\n", + "\n", + "client.benchmarks.register(\n", + " benchmark_id=\"llama3.2-3B-instruct:tax_eval\",\n", + " dataset_id=\"eval_dataset\",\n", + " scoring_functions=[\"braintrust::answer-similarity\"]\n", + ")\n", + "\n", + "response = client.eval.evaluate_rows(\n", + " benchmark_id=\"llama3.2-3B-instruct:tax_eval\",\n", + " input_rows=eval_rows.data,\n", + " scoring_functions=[\"braintrust::answer-similarity\"],\n", + " benchmark_config={\n", + " \"type\": \"benchmark\",\n", + " \"eval_candidate\": {\n", + " \"type\": \"model\",\n", + " \"model\": \"meta-llama/Llama-3.2-3B-Instruct\",\n", + " \"sampling_params\": {\n", + " \"temperature\": 0.0,\n", + " \"max_tokens\": 4096,\n", + " \"top_p\": 0.9,\n", + " \"repeat_penalty\": 1.0,\n", + " },\n", + " }\n", + " }\n", + ")\n", + "pprint(response)" ] }, { "cell_type": "markdown", - "source": [ - "Now we have the results show that the native Llama3.2 3B instruct model got the avg score of 0.4899 on the tax Q&A eval dataset. Let's see if we can boost the LLM performance with post training." - ], "metadata": { "id": "YWUpjf83Eoy-" - } + }, + "source": [ + "Now we have the results show that the native Llama3.2 3B instruct model got the avg score of 0.4899 on the tax Q&A eval dataset. Let's see if we can boost the LLM performance with post training." + ] }, { "cell_type": "markdown", + "metadata": { + "id": "RWa220T5sjbR" + }, "source": [ "# 2. Start Post Training\n", "Currenty, Llama stack post training APIs support [Supervised Fine-tune](https://cameronrwolfe.substack.com/p/understanding-and-using-supervised) which is a straightfoard and effective way to boost model performance on specific tasks.\n", @@ -4264,16 +4253,11 @@ "\n", "\n", "\n" - ], - "metadata": { - "id": "RWa220T5sjbR" - } + ] }, { "cell_type": "code", - "source": [ - "!llama download --source huggingface --model-id Llama3.2-3B-Instruct --hf-token \"HF_TOKEN\"" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -4282,11 +4266,10 @@ "id": "yF50MtwcsogU", "outputId": "92ba3b3a-63a0-4ab8-c8cd-5437365128fc" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ ".gitattributes: 100% 1.52k/1.52k [00:00<00:00, 12.1MB/s]\n", "LICENSE.txt: 100% 7.71k/7.71k [00:00<00:00, 33.3MB/s]\n", @@ -4306,10 +4289,16 @@ "Successfully downloaded model to /root/.llama/checkpoints/Llama3.2-3B-Instruct\n" ] } + ], + "source": [ + "!llama download --source huggingface --model-id Llama3.2-3B-Instruct --hf-token \"HF_TOKEN\"" ] }, { "cell_type": "markdown", + "metadata": { + "id": "V-Qa34Cfs62p" + }, "source": [ "#### 2.1. Prepare post training dataset\n", "Llama stack supports 2 post training dataset formats (instruct and dialog), you can select which dataset format to use in step 2.1.\n", @@ -4336,13 +4325,16 @@ "Since the tax Q&A dataset is single round Q&A, we use intruct dataset format for the post training.\n", "\n", "> **Note:** if you hit the input schema issue, you probably need to restart the runtime to apply your fix" - ], - "metadata": { - "id": "V-Qa34Cfs62p" - } + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true, + "id": "LfodcomxE8L0" + }, + "outputs": [], "source": [ "import requests\n", "\n", @@ -4356,16 +4348,28 @@ "# from google.colab import files\n", "\n", "# uploaded = files.upload()" - ], - "metadata": { - "id": "LfodcomxE8L0", - "collapsed": true - }, - "execution_count": null, - "outputs": [] + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "u57t43GVvRxp", + "outputId": "ae119422-b7f8-473f-b6a7-049a0d0e5e22" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m00:42:16.035\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/datasets\u001b[0m\n" + ] + } + ], "source": [ "import os\n", "import mimetypes\n", @@ -4391,15 +4395,15 @@ "# register post training dataset\n", "# use the below commented out version for dialog dataset\n", "response = client.datasets.register(\n", - " dataset_id=\"post_training_dataset\",\n", - " provider_id=\"localfs\",\n", - " url={\"uri\": data_url},\n", - " dataset_schema={\n", - " \"chat_completion_input\": {\"type\": \"chat_completion_input\"},\n", - " \"expected_answer\": {\"type\": \"string\"},\n", + " purpose=\"post-training/messages\",\n", + " source={\n", + " \"type\": \"uri\",\n", + " \"uri\": data_url,\n", " },\n", + " dataset_id=\"post_training_dataset\",\n", ")\n", "\n", + "\n", "# response = client.datasets.register(\n", "# dataset_id=\"post_training_dataset\",\n", "# provider_id=\"localfs\",\n", @@ -4408,38 +4412,20 @@ "# \"dialog\": {\"type\": \"dialog\"},\n", "# },\n", "# )" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "u57t43GVvRxp", - "outputId": "ae119422-b7f8-473f-b6a7-049a0d0e5e22" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[2m00:42:16.035\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/datasets\u001b[0m\n" - ] - } ] }, { "cell_type": "markdown", + "metadata": { + "id": "TodEWXXfMgg8" + }, "source": [ "#### 2.2. Kick-off Post Training Job\n", "\n", "You can find the definition of post-training configs and APIs [here for server side](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/apis/post_training/post_training.py) and [here for client side](https://github.com/meta-llama/llama-stack-client-python/blob/d6f3ef24b740c996b29c0540bc6b4e996de0a168/src/llama_stack_client/types/post_training_supervised_fine_tune_params.py).\n", "\n", "> **Noet**: If you meet 'Job xxx already exists' error, you may also want to check the error logging above it. Since we have retry logic, the 'Job xxx already exists' may not be the root cause of the job failure" - ], - "metadata": { - "id": "TodEWXXfMgg8" - } + ] }, { "cell_type": "code", @@ -4449,29 +4435,29 @@ "base_uri": "https://localhost:8080/", "height": 1000 }, + "collapsed": true, "id": "S_VcSOR3Cng6", - "outputId": "cbd6e62a-3dd1-4423-a11b-b06fd990e357", - "collapsed": true + "outputId": "cbd6e62a-3dd1-4423-a11b-b06fd990e357" }, "outputs": [ { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ "DEBUG:torchtune.utils._logging:Setting manual seed to local seed 28602197. Local seed is seed + rank = 28602197 + 0\n", "INFO:torchtune.utils._logging:Identified model_type = Llama3_2. Ignoring output.weight in checkpoint in favor of the tok_embedding.weight tied weights.\n" ] }, { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[2m00:43:22.604\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/post-training/supervised-fine-tune\u001b[0m\n" ] }, { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ "INFO:torchtune.utils._logging:Memory stats after model init:\n", "\tGPU peak memory allocation: 6.07 GiB\n", @@ -4486,15 +4472,15 @@ ] }, { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Writing logs to /root/.llama/checkpoints/meta-llama/Llama-3.2-3B-Instruct-sft-0/log/log_1740530605.txt\n" ] }, { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ "1|1|Loss: 1.389875888824463: 1%| | 1/153 [00:02<06:02, 2.38s/it]INFO:torchtune.utils._logging:Memory stats after model init:\n", "\tGPU peak memory allocation: 6.30 GiB\n", @@ -5141,17 +5127,17 @@ ] }, { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1;35mPostTrainingJob\u001b[0m\u001b[1m(\u001b[0m\u001b[33mjob_uuid\u001b[0m=\u001b[32m'1234'\u001b[0m\u001b[1m)\u001b[0m\n" - ], "text/html": [ "
PostTrainingJob(job_uuid='1234')\n",
               "
\n" + ], + "text/plain": [ + "\u001b[1;35mPostTrainingJob\u001b[0m\u001b[1m(\u001b[0m\u001b[33mjob_uuid\u001b[0m=\u001b[32m'1234'\u001b[0m\u001b[1m)\u001b[0m\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -5250,12 +5236,12 @@ }, { "cell_type": "markdown", - "source": [ - "#### 2.3. list all the post training jobs" - ], "metadata": { "id": "odNNDN9OMBOQ" - } + }, + "source": [ + "#### 2.3. list all the post training jobs" + ] }, { "cell_type": "code", @@ -5265,30 +5251,30 @@ "base_uri": "https://localhost:8080/", "height": 51 }, + "collapsed": true, "id": "wRFLJMEWu-eD", - "outputId": "427d86bb-0acd-451f-ba51-80f7e3c5241b", - "collapsed": true + "outputId": "427d86bb-0acd-451f-ba51-80f7e3c5241b" }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[2m00:48:43.629\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/post-training/jobs\u001b[0m\n" ] }, { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1m[\u001b[0m\u001b[1;35mData\u001b[0m\u001b[1m(\u001b[0m\u001b[33mjob_uuid\u001b[0m=\u001b[32m'1234'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\n" - ], "text/html": [ "
[Data(job_uuid='1234')]\n",
               "
\n" + ], + "text/plain": [ + "\u001b[1m[\u001b[0m\u001b[1;35mData\u001b[0m\u001b[1m(\u001b[0m\u001b[33mjob_uuid\u001b[0m=\u001b[32m'1234'\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -5298,13 +5284,13 @@ }, { "cell_type": "markdown", + "metadata": { + "id": "3url0GUVMLo8" + }, "source": [ "#### 2.4. query the job status of a given post training job\n", "finetuned checkpoint metadata (validation metrics are included if available) and job metadata are provided in the status" - ], - "metadata": { - "id": "3url0GUVMLo8" - } + ] }, { "cell_type": "code", @@ -5314,46 +5300,20 @@ "base_uri": "https://localhost:8080/", "height": 414 }, + "collapsed": true, "id": "-1sQe6QUzl_N", - "outputId": "79145591-fbb4-425f-9bda-34e8eb6e356b", - "collapsed": true + "outputId": "79145591-fbb4-425f-9bda-34e8eb6e356b" }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[2m00:49:06.134\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/post-training/job/status\u001b[0m\n" ] }, { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1;35mJobStatusResponse\u001b[0m\u001b[1m(\u001b[0m\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mcheckpoints\u001b[0m=\u001b[1m[\u001b[0m\n", - "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", - "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'identifier'\u001b[0m: \u001b[32m'meta-llama/Llama-3.2-3B-Instruct-sft-0'\u001b[0m,\n", - "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'created_at'\u001b[0m: \u001b[32m'2025-02-26T00:46:58.602464'\u001b[0m,\n", - "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'epoch'\u001b[0m: \u001b[1;36m0\u001b[0m,\n", - "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'post_training_job_id'\u001b[0m: \u001b[32m'1234'\u001b[0m,\n", - "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'path'\u001b[0m: \u001b[32m'/root/.llama/checkpoints/meta-llama/Llama-3.2-3B-Instruct-sft-0'\u001b[0m,\n", - "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'training_metrics'\u001b[0m: \u001b[1m{\u001b[0m\n", - "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[32m'epoch'\u001b[0m: \u001b[1;36m0\u001b[0m,\n", - "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[32m'train_loss'\u001b[0m: \u001b[1;36m0.7165011167526245\u001b[0m,\n", - "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[32m'validation_loss'\u001b[0m: \u001b[1;36m0.3558155596256256\u001b[0m,\n", - "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[32m'perplexity'\u001b[0m: \u001b[1;36m1.4273443222045898\u001b[0m\n", - "\u001b[2;32m│ │ │ \u001b[0m\u001b[1m}\u001b[0m\n", - "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n", - "\u001b[2;32m│ \u001b[0m\u001b[1m]\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mjob_uuid\u001b[0m=\u001b[32m'1234'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mstatus\u001b[0m=\u001b[32m'completed'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mcompleted_at\u001b[0m=\u001b[1;35mdatetime\u001b[0m\u001b[1;35m.datetime\u001b[0m\u001b[1m(\u001b[0m\u001b[1;36m2025\u001b[0m, \u001b[1;36m2\u001b[0m, \u001b[1;36m26\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m47\u001b[0m, \u001b[1;36m4\u001b[0m, \u001b[1;36m901605\u001b[0m\u001b[1m)\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mresources_allocated\u001b[0m=\u001b[1m{\u001b[0m\u001b[1m}\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mscheduled_at\u001b[0m=\u001b[1;35mdatetime\u001b[0m\u001b[1;35m.datetime\u001b[0m\u001b[1m(\u001b[0m\u001b[1;36m2025\u001b[0m, \u001b[1;36m2\u001b[0m, \u001b[1;36m26\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m43\u001b[0m, \u001b[1;36m22\u001b[0m, \u001b[1;36m601407\u001b[0m\u001b[1m)\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mstarted_at\u001b[0m=\u001b[1;35mdatetime\u001b[0m\u001b[1;35m.datetime\u001b[0m\u001b[1m(\u001b[0m\u001b[1;36m2025\u001b[0m, \u001b[1;36m2\u001b[0m, \u001b[1;36m26\u001b[0m, \u001b[1;36m0\u001b[0m, \u001b[1;36m43\u001b[0m, \u001b[1;36m22\u001b[0m, \u001b[1;36m777928\u001b[0m\u001b[1m)\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ], "text/html": [ "
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               "│   checkpoints=[\n",
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i=t[r/36%6|0],o=t[r/6%6|0],s=t[r%6];e.push({css:n.channels.toCss(i,o,s),rgba:n.channels.toRgba(i,o,s)})}for(r=0;r<24;r++){var a=8+10*r;e.push({css:n.channels.toCss(a,a,a),rgba:n.channels.toRgba(a,a,a)})}return e}());var h=function(){function e(e,r){this.allowTransparency=r;var i=e.createElement("canvas");i.width=1,i.height=1;var h=i.getContext("2d");if(!h)throw new Error("Could not get rendering context");this._ctx=h,this._ctx.globalCompositeOperation="copy",this._litmusColor=this._ctx.createLinearGradient(0,0,1,1),this._contrastCache=new o.ColorContrastCache,this.colors={foreground:s,background:a,cursor:c,cursorAccent:l,selectionTransparent:u,selectionOpaque:n.color.blend(a,u),ansi:t.DEFAULT_ANSI_COLORS.slice(),contrastCache:this._contrastCache},this._updateRestoreColors()}return e.prototype.onOptionsChange=function(e){"minimumContrastRatio"===e&&this._contrastCache.clear()},e.prototype.setTheme=function(e){void 0===e&&(e={}),this.colors.foreground=this._parseColor(e.foreground,s),this.colors.background=this._parseColor(e.background,a),this.colors.cursor=this._parseColor(e.cursor,c,!0),this.colors.cursorAccent=this._parseColor(e.cursorAccent,l,!0),this.colors.selectionTransparent=this._parseColor(e.selection,u,!0),this.colors.selectionOpaque=n.color.blend(this.colors.background,this.colors.selectionTransparent),n.color.isOpaque(this.colors.selectionTransparent)&&(this.colors.selectionTransparent=n.color.opacity(this.colors.selectionTransparent,.3)),this.colors.ansi[0]=this._parseColor(e.black,t.DEFAULT_ANSI_COLORS[0]),this.colors.ansi[1]=this._parseColor(e.red,t.DEFAULT_ANSI_COLORS[1]),this.colors.ansi[2]=this._parseColor(e.green,t.DEFAULT_ANSI_COLORS[2]),this.colors.ansi[3]=this._parseColor(e.yellow,t.DEFAULT_ANSI_COLORS[3]),this.colors.ansi[4]=this._parseColor(e.blue,t.DEFAULT_ANSI_COLORS[4]),this.colors.ansi[5]=this._parseColor(e.magenta,t.DEFAULT_ANSI_COLORS[5]),this.colors.ansi[6]=this._parseColor(e.cyan,t.DEFAULT_ANSI_COLORS[6]),this.colors.ansi[7]=this._parseColor(e.white,t.DEFAULT_ANSI_COLORS[7]),this.colors.ansi[8]=this._parseColor(e.brightBlack,t.DEFAULT_ANSI_COLORS[8]),this.colors.ansi[9]=this._parseColor(e.brightRed,t.DEFAULT_ANSI_COLORS[9]),this.colors.ansi[10]=this._parseColor(e.brightGreen,t.DEFAULT_ANSI_COLORS[10]),this.colors.ansi[11]=this._parseColor(e.brightYellow,t.DEFAULT_ANSI_COLORS[11]),this.colors.ansi[12]=this._parseColor(e.brightBlue,t.DEFAULT_ANSI_COLORS[12]),this.colors.ansi[13]=this._parseColor(e.brightMagenta,t.DEFAULT_ANSI_COLORS[13]),this.colors.ansi[14]=this._parseColor(e.brightCyan,t.DEFAULT_ANSI_COLORS[14]),this.colors.ansi[15]=this._parseColor(e.brightWhite,t.DEFAULT_ANSI_COLORS[15]),this._contrastCache.clear(),this._updateRestoreColors()},e.prototype.restoreColor=function(e){if(void 0!==e)switch(e){case 256:this.colors.foreground=this._restoreColors.foreground;break;case 257:this.colors.background=this._restoreColors.background;break;case 258:this.colors.cursor=this._restoreColors.cursor;break;default:this.colors.ansi[e]=this._restoreColors.ansi[e]}else for(var t=0;t<this._restoreColors.ansi.length;++t)this.colors.ansi[t]=this._restoreColors.ansi[t]},e.prototype._updateRestoreColors=function(){this._restoreColors={foreground:this.colors.foreground,background:this.colors.background,cursor:this.colors.cursor,ansi:i([],this.colors.ansi,!0)}},e.prototype._parseColor=function(e,t,r){if(void 0===r&&(r=this.allowTransparency),void 0===e)return t;if(this._ctx.fillStyle=this._litmusColor,this._ctx.fillStyle=e,"string"!=typeof this._ctx.fillStyle)return console.warn("Color: "+e+" is invalid using fallback "+t.css),t;this._ctx.fillRect(0,0,1,1);var i=this._ctx.getImageData(0,0,1,1).data;if(255!==i[3]){if(!r)return console.warn("Color: "+e+" is using transparency, but allowTransparency is false. Using fallback "+t.css+"."),t;var o=this._ctx.fillStyle.substring(5,this._ctx.fillStyle.length-1).split(",").map((function(e){return Number(e)})),s=o[0],a=o[1],c=o[2],l=o[3],u=Math.round(255*l);return{rgba:n.channels.toRgba(s,a,c,u),css:e}}return{css:this._ctx.fillStyle,rgba:n.channels.toRgba(i[0],i[1],i[2],i[3])}},e}();t.ColorManager=h},9631:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.removeElementFromParent=void 0,t.removeElementFromParent=function(){for(var e,t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];for(var i=0,n=t;i<n.length;i++){var o=n[i];null===(e=null==o?void 0:o.parentElement)||void 0===e||e.removeChild(o)}}},3656:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.addDisposableDomListener=void 0,t.addDisposableDomListener=function(e,t,r,i){e.addEventListener(t,r,i);var n=!1;return{dispose:function(){n||(n=!0,e.removeEventListener(t,r,i))}}}},3551:function(e,t,r){var i=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},n=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.MouseZone=t.Linkifier=void 0;var o=r(8460),s=r(2585),a=function(){function e(e,t,r){this._bufferService=e,this._logService=t,this._unicodeService=r,this._linkMatchers=[],this._nextLinkMatcherId=0,this._onShowLinkUnderline=new o.EventEmitter,this._onHideLinkUnderline=new o.EventEmitter,this._onLinkTooltip=new o.EventEmitter,this._rowsToLinkify={start:void 0,end:void 0}}return Object.defineProperty(e.prototype,"onShowLinkUnderline",{get:function(){return 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e=this._bufferService.buffer;if(void 0!==this._rowsToLinkify.start&&void 0!==this._rowsToLinkify.end){var t=e.ydisp+this._rowsToLinkify.start;if(!(t>=e.lines.length)){for(var r=e.ydisp+Math.min(this._rowsToLinkify.end,this._bufferService.rows)+1,i=Math.ceil(2e3/this._bufferService.cols),n=this._bufferService.buffer.iterator(!1,t,r,i,i);n.hasNext();)for(var o=n.next(),s=0;s<this._linkMatchers.length;s++)this._doLinkifyRow(o.range.first,o.content,this._linkMatchers[s]);this._rowsToLinkify.start=void 0,this._rowsToLinkify.end=void 0}}else this._logService.debug("_rowToLinkify was unset before _linkifyRows was called")},e.prototype.registerLinkMatcher=function(e,t,r){if(void 0===r&&(r={}),!t)throw new Error("handler must be defined");var i={id:this._nextLinkMatcherId++,regex:e,handler:t,matchIndex:r.matchIndex,validationCallback:r.validationCallback,hoverTooltipCallback:r.tooltipCallback,hoverLeaveCallback:r.leaveCallback,willLinkActivate:r.willLinkActivate,priority:r.priority||0};return this._addLinkMatcherToList(i),i.id},e.prototype._addLinkMatcherToList=function(e){if(0!==this._linkMatchers.length){for(var t=this._linkMatchers.length-1;t>=0;t--)if(e.priority<=this._linkMatchers[t].priority)return void this._linkMatchers.splice(t+1,0,e);this._linkMatchers.splice(0,0,e)}else this._linkMatchers.push(e)},e.prototype.deregisterLinkMatcher=function(e){for(var t=0;t<this._linkMatchers.length;t++)if(this._linkMatchers[t].id===e)return this._linkMatchers.splice(t,1),!0;return!1},e.prototype._doLinkifyRow=function(e,t,r){for(var i,n=this,o=new RegExp(r.regex.source,(r.regex.flags||"")+"g"),s=-1,a=function(){var a=i["number"!=typeof r.matchIndex?0:r.matchIndex];if(!a)return c._logService.debug("match found without corresponding matchIndex",i,r),"break";if(s=t.indexOf(a,s+1),o.lastIndex=s+a.length,s<0)return"break";var l=c._bufferService.buffer.stringIndexToBufferIndex(e,s);if(l[0]<0)return"break";var u=c._bufferService.buffer.lines.get(l[0]);if(!u)return"break";var h=u.getFg(l[1]),f=h?h>>9&511:void 0;r.validationCallback?r.validationCallback(a,(function(e){n._rowsTimeoutId||e&&n._addLink(l[1],l[0]-n._bufferService.buffer.ydisp,a,r,f)})):c._addLink(l[1],l[0]-c._bufferService.buffer.ydisp,a,r,f)},c=this;null!==(i=o.exec(t))&&"break"!==a(););},e.prototype._addLink=function(e,t,r,i,n){var o=this;if(this._mouseZoneManager&&this._element){var s=this._unicodeService.getStringCellWidth(r),a=e%this._bufferService.cols,l=t+Math.floor(e/this._bufferService.cols),u=(a+s)%this._bufferService.cols,h=l+Math.floor((a+s)/this._bufferService.cols);0===u&&(u=this._bufferService.cols,h--),this._mouseZoneManager.add(new c(a+1,l+1,u+1,h+1,(function(e){if(i.handler)return i.handler(e,r);var t=window.open();t?(t.opener=null,t.location.href=r):console.warn("Opening link blocked as opener could not be cleared")}),(function(){o._onShowLinkUnderline.fire(o._createLinkHoverEvent(a,l,u,h,n)),o._element.classList.add("xterm-cursor-pointer")}),(function(e){o._onLinkTooltip.fire(o._createLinkHoverEvent(a,l,u,h,n)),i.hoverTooltipCallback&&i.hoverTooltipCallback(e,r,{start:{x:a,y:l},end:{x:u,y:h}})}),(function(){o._onHideLinkUnderline.fire(o._createLinkHoverEvent(a,l,u,h,n)),o._element.classList.remove("xterm-cursor-pointer"),i.hoverLeaveCallback&&i.hoverLeaveCallback()}),(function(e){return!i.willLinkActivate||i.willLinkActivate(e,r)})))}},e.prototype._createLinkHoverEvent=function(e,t,r,i,n){return{x1:e,y1:t,x2:r,y2:i,cols:this._bufferService.cols,fg:n}},e._timeBeforeLatency=200,e=i([n(0,s.IBufferService),n(1,s.ILogService),n(2,s.IUnicodeService)],e)}();t.Linkifier=a;var c=function(e,t,r,i,n,o,s,a,c){this.x1=e,this.y1=t,this.x2=r,this.y2=i,this.clickCallback=n,this.hoverCallback=o,this.tooltipCallback=s,this.leaveCallback=a,this.willLinkActivate=c};t.MouseZone=c},6465:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),o=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},s=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.Linkifier2=void 0;var a=r(2585),c=r(8460),l=r(844),u=r(3656),h=function(e){function t(t){var r=e.call(this)||this;return r._bufferService=t,r._linkProviders=[],r._linkCacheDisposables=[],r._isMouseOut=!0,r._activeLine=-1,r._onShowLinkUnderline=r.register(new c.EventEmitter),r._onHideLinkUnderline=r.register(new c.EventEmitter),r.register((0,l.getDisposeArrayDisposable)(r._linkCacheDisposables)),r}return n(t,e),Object.defineProperty(t.prototype,"currentLink",{get:function(){return this._currentLink},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onShowLinkUnderline",{get:function(){return this._onShowLinkUnderline.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onHideLinkUnderline",{get:function(){return this._onHideLinkUnderline.event},enumerable:!1,configurable:!0}),t.prototype.registerLinkProvider=function(e){var t=this;return this._linkProviders.push(e),{dispose:function(){var r=t._linkProviders.indexOf(e);-1!==r&&t._linkProviders.splice(r,1)}}},t.prototype.attachToDom=function(e,t,r){var i=this;this._element=e,this._mouseService=t,this._renderService=r,this.register((0,u.addDisposableDomListener)(this._element,"mouseleave",(function(){i._isMouseOut=!0,i._clearCurrentLink()}))),this.register((0,u.addDisposableDomListener)(this._element,"mousemove",this._onMouseMove.bind(this))),this.register((0,u.addDisposableDomListener)(this._element,"click",this._onClick.bind(this)))},t.prototype._onMouseMove=function(e){if(this._lastMouseEvent=e,this._element&&this._mouseService){var t=this._positionFromMouseEvent(e,this._element,this._mouseService);if(t){this._isMouseOut=!1;for(var r=e.composedPath(),i=0;i<r.length;i++){var n=r[i];if(n.classList.contains("xterm"))break;if(n.classList.contains("xterm-hover"))return}this._lastBufferCell&&t.x===this._lastBufferCell.x&&t.y===this._lastBufferCell.y||(this._onHover(t),this._lastBufferCell=t)}}},t.prototype._onHover=function(e){if(this._activeLine!==e.y)return this._clearCurrentLink(),void this._askForLink(e,!1);this._currentLink&&this._linkAtPosition(this._currentLink.link,e)||(this._clearCurrentLink(),this._askForLink(e,!0))},t.prototype._askForLink=function(e,t){var r,i=this;this._activeProviderReplies&&t||(null===(r=this._activeProviderReplies)||void 0===r||r.forEach((function(e){null==e||e.forEach((function(e){e.link.dispose&&e.link.dispose()}))})),this._activeProviderReplies=new Map,this._activeLine=e.y);var n=!1;this._linkProviders.forEach((function(r,o){var s;t?(null===(s=i._activeProviderReplies)||void 0===s?void 0:s.get(o))&&(n=i._checkLinkProviderResult(o,e,n)):r.provideLinks(e.y,(function(t){var r,s;if(!i._isMouseOut){var a=null==t?void 0:t.map((function(e){return{link:e}}));null===(r=i._activeProviderReplies)||void 0===r||r.set(o,a),n=i._checkLinkProviderResult(o,e,n),(null===(s=i._activeProviderReplies)||void 0===s?void 0:s.size)===i._linkProviders.length&&i._removeIntersectingLinks(e.y,i._activeProviderReplies)}}))}))},t.prototype._removeIntersectingLinks=function(e,t){for(var r=new Set,i=0;i<t.size;i++){var n=t.get(i);if(n)for(var o=0;o<n.length;o++)for(var s=n[o],a=s.link.range.start.y<e?0:s.link.range.start.x,c=s.link.range.end.y>e?this._bufferService.cols:s.link.range.end.x,l=a;l<=c;l++){if(r.has(l)){n.splice(o--,1);break}r.add(l)}}},t.prototype._checkLinkProviderResult=function(e,t,r){var i,n=this;if(!this._activeProviderReplies)return r;for(var o=this._activeProviderReplies.get(e),s=!1,a=0;a<e;a++)this._activeProviderReplies.has(a)&&!this._activeProviderReplies.get(a)||(s=!0);if(!s&&o){var c=o.find((function(e){return n._linkAtPosition(e.link,t)}));c&&(r=!0,this._handleNewLink(c))}if(this._activeProviderReplies.size===this._linkProviders.length&&!r)for(a=0;a<this._activeProviderReplies.size;a++){var l=null===(i=this._activeProviderReplies.get(a))||void 0===i?void 0:i.find((function(e){return n._linkAtPosition(e.link,t)}));if(l){r=!0,this._handleNewLink(l);break}}return r},t.prototype._onClick=function(e){if(this._element&&this._mouseService&&this._currentLink){var t=this._positionFromMouseEvent(e,this._element,this._mouseService);t&&this._linkAtPosition(this._currentLink.link,t)&&this._currentLink.link.activate(e,this._currentLink.link.text)}},t.prototype._clearCurrentLink=function(e,t){this._element&&this._currentLink&&this._lastMouseEvent&&(!e||!t||this._currentLink.link.range.start.y>=e&&this._currentLink.link.range.end.y<=t)&&(this._linkLeave(this._element,this._currentLink.link,this._lastMouseEvent),this._currentLink=void 0,(0,l.disposeArray)(this._linkCacheDisposables))},t.prototype._handleNewLink=function(e){var t=this;if(this._element&&this._lastMouseEvent&&this._mouseService){var r=this._positionFromMouseEvent(this._lastMouseEvent,this._element,this._mouseService);r&&this._linkAtPosition(e.link,r)&&(this._currentLink=e,this._currentLink.state={decorations:{underline:void 0===e.link.decorations||e.link.decorations.underline,pointerCursor:void 0===e.link.decorations||e.link.decorations.pointerCursor},isHovered:!0},this._linkHover(this._element,e.link,this._lastMouseEvent),e.link.decorations={},Object.defineProperties(e.link.decorations,{pointerCursor:{get:function(){var e,r;return null===(r=null===(e=t._currentLink)||void 0===e?void 0:e.state)||void 0===r?void 0:r.decorations.pointerCursor},set:function(e){var r,i;(null===(r=t._currentLink)||void 0===r?void 0:r.state)&&t._currentLink.state.decorations.pointerCursor!==e&&(t._currentLink.state.decorations.pointerCursor=e,t._currentLink.state.isHovered&&(null===(i=t._element)||void 0===i||i.classList.toggle("xterm-cursor-pointer",e)))}},underline:{get:function(){var e,r;return null===(r=null===(e=t._currentLink)||void 0===e?void 0:e.state)||void 0===r?void 0:r.decorations.underline},set:function(r){var i,n,o;(null===(i=t._currentLink)||void 0===i?void 0:i.state)&&(null===(o=null===(n=t._currentLink)||void 0===n?void 0:n.state)||void 0===o?void 0:o.decorations.underline)!==r&&(t._currentLink.state.decorations.underline=r,t._currentLink.state.isHovered&&t._fireUnderlineEvent(e.link,r))}}}),this._renderService&&this._linkCacheDisposables.push(this._renderService.onRenderedBufferChange((function(e){var r=0===e.start?0:e.start+1+t._bufferService.buffer.ydisp;t._clearCurrentLink(r,e.end+1+t._bufferService.buffer.ydisp)}))))}},t.prototype._linkHover=function(e,t,r){var i;(null===(i=this._currentLink)||void 0===i?void 0:i.state)&&(this._currentLink.state.isHovered=!0,this._currentLink.state.decorations.underline&&this._fireUnderlineEvent(t,!0),this._currentLink.state.decorations.pointerCursor&&e.classList.add("xterm-cursor-pointer")),t.hover&&t.hover(r,t.text)},t.prototype._fireUnderlineEvent=function(e,t){var r=e.range,i=this._bufferService.buffer.ydisp,n=this._createLinkUnderlineEvent(r.start.x-1,r.start.y-i-1,r.end.x,r.end.y-i-1,void 0);(t?this._onShowLinkUnderline:this._onHideLinkUnderline).fire(n)},t.prototype._linkLeave=function(e,t,r){var i;(null===(i=this._currentLink)||void 0===i?void 0:i.state)&&(this._currentLink.state.isHovered=!1,this._currentLink.state.decorations.underline&&this._fireUnderlineEvent(t,!1),this._currentLink.state.decorations.pointerCursor&&e.classList.remove("xterm-cursor-pointer")),t.leave&&t.leave(r,t.text)},t.prototype._linkAtPosition=function(e,t){var r=e.range.start.y===e.range.end.y,i=e.range.start.y<t.y,n=e.range.end.y>t.y;return(r&&e.range.start.x<=t.x&&e.range.end.x>=t.x||i&&e.range.end.x>=t.x||n&&e.range.start.x<=t.x||i&&n)&&e.range.start.y<=t.y&&e.range.end.y>=t.y},t.prototype._positionFromMouseEvent=function(e,t,r){var i=r.getCoords(e,t,this._bufferService.cols,this._bufferService.rows);if(i)return{x:i[0],y:i[1]+this._bufferService.buffer.ydisp}},t.prototype._createLinkUnderlineEvent=function(e,t,r,i,n){return{x1:e,y1:t,x2:r,y2:i,cols:this._bufferService.cols,fg:n}},o([s(0,a.IBufferService)],t)}(l.Disposable);t.Linkifier2=h},9042:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.tooMuchOutput=t.promptLabel=void 0,t.promptLabel="Terminal input",t.tooMuchOutput="Too much output to announce, navigate to rows manually to read"},6954:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),o=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},s=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.MouseZoneManager=void 0;var a=r(844),c=r(3656),l=r(4725),u=r(2585),h=function(e){function t(t,r,i,n,o,s){var a=e.call(this)||this;return a._element=t,a._screenElement=r,a._bufferService=i,a._mouseService=n,a._selectionService=o,a._optionsService=s,a._zones=[],a._areZonesActive=!1,a._lastHoverCoords=[void 0,void 0],a._initialSelectionLength=0,a.register((0,c.addDisposableDomListener)(a._element,"mousedown",(function(e){return a._onMouseDown(e)}))),a._mouseMoveListener=function(e){return a._onMouseMove(e)},a._mouseLeaveListener=function(e){return a._onMouseLeave(e)},a._clickListener=function(e){return a._onClick(e)},a}return n(t,e),t.prototype.dispose=function(){e.prototype.dispose.call(this),this._deactivate()},t.prototype.add=function(e){this._zones.push(e),1===this._zones.length&&this._activate()},t.prototype.clearAll=function(e,t){if(0!==this._zones.length){e&&t||(e=0,t=this._bufferService.rows-1);for(var r=0;r<this._zones.length;r++){var i=this._zones[r];(i.y1>e&&i.y1<=t+1||i.y2>e&&i.y2<=t+1||i.y1<e&&i.y2>t+1)&&(this._currentZone&&this._currentZone===i&&(this._currentZone.leaveCallback(),this._currentZone=void 0),this._zones.splice(r--,1))}0===this._zones.length&&this._deactivate()}},t.prototype._activate=function(){this._areZonesActive||(this._areZonesActive=!0,this._element.addEventListener("mousemove",this._mouseMoveListener),this._element.addEventListener("mouseleave",this._mouseLeaveListener),this._element.addEventListener("click",this._clickListener))},t.prototype._deactivate=function(){this._areZonesActive&&(this._areZonesActive=!1,this._element.removeEventListener("mousemove",this._mouseMoveListener),this._element.removeEventListener("mouseleave",this._mouseLeaveListener),this._element.removeEventListener("click",this._clickListener))},t.prototype._onMouseMove=function(e){this._lastHoverCoords[0]===e.pageX&&this._lastHoverCoords[1]===e.pageY||(this._onHover(e),this._lastHoverCoords=[e.pageX,e.pageY])},t.prototype._onHover=function(e){var t=this,r=this._findZoneEventAt(e);r!==this._currentZone&&(this._currentZone&&(this._currentZone.leaveCallback(),this._currentZone=void 0,this._tooltipTimeout&&clearTimeout(this._tooltipTimeout)),r&&(this._currentZone=r,r.hoverCallback&&r.hoverCallback(e),this._tooltipTimeout=window.setTimeout((function(){return t._onTooltip(e)}),this._optionsService.options.linkTooltipHoverDuration)))},t.prototype._onTooltip=function(e){this._tooltipTimeout=void 0;var t=this._findZoneEventAt(e);null==t||t.tooltipCallback(e)},t.prototype._onMouseDown=function(e){if(this._initialSelectionLength=this._getSelectionLength(),this._areZonesActive){var t=this._findZoneEventAt(e);(null==t?void 0:t.willLinkActivate(e))&&(e.preventDefault(),e.stopImmediatePropagation())}},t.prototype._onMouseLeave=function(e){this._currentZone&&(this._currentZone.leaveCallback(),this._currentZone=void 0,this._tooltipTimeout&&clearTimeout(this._tooltipTimeout))},t.prototype._onClick=function(e){var t=this._findZoneEventAt(e),r=this._getSelectionLength();t&&r===this._initialSelectionLength&&(t.clickCallback(e),e.preventDefault(),e.stopImmediatePropagation())},t.prototype._getSelectionLength=function(){var e=this._selectionService.selectionText;return e?e.length:0},t.prototype._findZoneEventAt=function(e){var t=this._mouseService.getCoords(e,this._screenElement,this._bufferService.cols,this._bufferService.rows);if(t)for(var r=t[0],i=t[1],n=0;n<this._zones.length;n++){var o=this._zones[n];if(o.y1===o.y2){if(i===o.y1&&r>=o.x1&&r<o.x2)return o}else if(i===o.y1&&r>=o.x1||i===o.y2&&r<o.x2||i>o.y1&&i<o.y2)return o}},o([s(2,u.IBufferService),s(3,l.IMouseService),s(4,l.ISelectionService),s(5,u.IOptionsService)],t)}(a.Disposable);t.MouseZoneManager=h},6193:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.RenderDebouncer=void 0;var r=function(){function e(e){this._renderCallback=e}return e.prototype.dispose=function(){this._animationFrame&&(window.cancelAnimationFrame(this._animationFrame),this._animationFrame=void 0)},e.prototype.refresh=function(e,t,r){var i=this;this._rowCount=r,e=void 0!==e?e:0,t=void 0!==t?t:this._rowCount-1,this._rowStart=void 0!==this._rowStart?Math.min(this._rowStart,e):e,this._rowEnd=void 0!==this._rowEnd?Math.max(this._rowEnd,t):t,this._animationFrame||(this._animationFrame=window.requestAnimationFrame((function(){return i._innerRefresh()})))},e.prototype._innerRefresh=function(){if(void 0!==this._rowStart&&void 0!==this._rowEnd&&void 0!==this._rowCount){var e=Math.max(this._rowStart,0),t=Math.min(this._rowEnd,this._rowCount-1);this._rowStart=void 0,this._rowEnd=void 0,this._animationFrame=void 0,this._renderCallback(e,t)}},e}();t.RenderDebouncer=r},5596:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.ScreenDprMonitor=void 0;var o=function(e){function t(){var t=null!==e&&e.apply(this,arguments)||this;return t._currentDevicePixelRatio=window.devicePixelRatio,t}return n(t,e),t.prototype.setListener=function(e){var t=this;this._listener&&this.clearListener(),this._listener=e,this._outerListener=function(){t._listener&&(t._listener(window.devicePixelRatio,t._currentDevicePixelRatio),t._updateDpr())},this._updateDpr()},t.prototype.dispose=function(){e.prototype.dispose.call(this),this.clearListener()},t.prototype._updateDpr=function(){var e;this._outerListener&&(null===(e=this._resolutionMediaMatchList)||void 0===e||e.removeListener(this._outerListener),this._currentDevicePixelRatio=window.devicePixelRatio,this._resolutionMediaMatchList=window.matchMedia("screen and (resolution: "+window.devicePixelRatio+"dppx)"),this._resolutionMediaMatchList.addListener(this._outerListener))},t.prototype.clearListener=function(){this._resolutionMediaMatchList&&this._listener&&this._outerListener&&(this._resolutionMediaMatchList.removeListener(this._outerListener),this._resolutionMediaMatchList=void 0,this._listener=void 0,this._outerListener=void 0)},t}(r(844).Disposable);t.ScreenDprMonitor=o},3236:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.Terminal=void 0;var o=r(2950),s=r(1680),a=r(3614),c=r(2584),l=r(5435),u=r(3525),h=r(3551),f=r(9312),_=r(6114),d=r(3656),p=r(9042),v=r(357),g=r(6954),y=r(4567),m=r(1296),b=r(7399),S=r(8460),C=r(8437),w=r(5680),L=r(3230),E=r(4725),x=r(428),A=r(8934),k=r(6465),M=r(5114),R=r(8969),T=r(4774),O=r(4269),B=r(5941),D="undefined"!=typeof window?window.document:null,P=function(e){function t(t){void 0===t&&(t={});var r=e.call(this,t)||this;return r.browser=_,r._keyDownHandled=!1,r._keyPressHandled=!1,r._unprocessedDeadKey=!1,r._onCursorMove=new S.EventEmitter,r._onKey=new S.EventEmitter,r._onRender=new S.EventEmitter,r._onSelectionChange=new S.EventEmitter,r._onTitleChange=new S.EventEmitter,r._onBell=new S.EventEmitter,r._onFocus=new S.EventEmitter,r._onBlur=new S.EventEmitter,r._onA11yCharEmitter=new S.EventEmitter,r._onA11yTabEmitter=new S.EventEmitter,r._setup(),r.linkifier=r._instantiationService.createInstance(h.Linkifier),r.linkifier2=r.register(r._instantiationService.createInstance(k.Linkifier2)),r.register(r._inputHandler.onRequestBell((function(){return r.bell()}))),r.register(r._inputHandler.onRequestRefreshRows((function(e,t){return r.refresh(e,t)}))),r.register(r._inputHandler.onRequestSendFocus((function(){return r._reportFocus()}))),r.register(r._inputHandler.onRequestReset((function(){return r.reset()}))),r.register(r._inputHandler.onRequestWindowsOptionsReport((function(e){return r._reportWindowsOptions(e)}))),r.register(r._inputHandler.onColor((function(e){return r._handleColorEvent(e)}))),r.register((0,S.forwardEvent)(r._inputHandler.onCursorMove,r._onCursorMove)),r.register((0,S.forwardEvent)(r._inputHandler.onTitleChange,r._onTitleChange)),r.register((0,S.forwardEvent)(r._inputHandler.onA11yChar,r._onA11yCharEmitter)),r.register((0,S.forwardEvent)(r._inputHandler.onA11yTab,r._onA11yTabEmitter)),r.register(r._bufferService.onResize((function(e){return r._afterResize(e.cols,e.rows)}))),r}return n(t,e),Object.defineProperty(t.prototype,"onCursorMove",{get:function(){return this._onCursorMove.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onKey",{get:function(){return this._onKey.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRender",{get:function(){return this._onRender.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onSelectionChange",{get:function(){return this._onSelectionChange.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onTitleChange",{get:function(){return this._onTitleChange.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onBell",{get:function(){return this._onBell.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onFocus",{get:function(){return this._onFocus.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onBlur",{get:function(){return this._onBlur.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yChar",{get:function(){return this._onA11yCharEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yTab",{get:function(){return this._onA11yTabEmitter.event},enumerable:!1,configurable:!0}),t.prototype._handleColorEvent=function(e){var t,r;if(this._colorManager){for(var i=0,n=e;i<n.length;i++){var o=n[i],s=void 0,a="";switch(o.index){case 256:s="foreground",a="10";break;case 257:s="background",a="11";break;case 258:s="cursor",a="12";break;default:s="ansi",a="4;"+o.index}if(s)switch(o.type){case 0:var l=T.color.toColorRGB("ansi"===s?this._colorManager.colors.ansi[o.index]:this._colorManager.colors[s]);this.coreService.triggerDataEvent(c.C0.ESC+"]"+a+";"+(0,B.toRgbString)(l)+c.C0.BEL);break;case 1:"ansi"===s?this._colorManager.colors.ansi[o.index]=T.rgba.toColor.apply(T.rgba,o.color):this._colorManager.colors[s]=T.rgba.toColor.apply(T.rgba,o.color);break;case 2:this._colorManager.restoreColor(o.index)}}null===(t=this._renderService)||void 0===t||t.setColors(this._colorManager.colors),null===(r=this.viewport)||void 0===r||r.onThemeChange(this._colorManager.colors)}},t.prototype.dispose=function(){var t,r,i;this._isDisposed||(e.prototype.dispose.call(this),null===(t=this._renderService)||void 0===t||t.dispose(),this._customKeyEventHandler=void 0,this.write=function(){},null===(i=null===(r=this.element)||void 0===r?void 0:r.parentNode)||void 0===i||i.removeChild(this.element))},t.prototype._setup=function(){e.prototype._setup.call(this),this._customKeyEventHandler=void 0},Object.defineProperty(t.prototype,"buffer",{get:function(){return this.buffers.active},enumerable:!1,configurable:!0}),t.prototype.focus=function(){this.textarea&&this.textarea.focus({preventScroll:!0})},t.prototype._updateOptions=function(t){var r,i,n,o;switch(e.prototype._updateOptions.call(this,t),t){case"fontFamily":case"fontSize":null===(r=this._renderService)||void 0===r||r.clear(),null===(i=this._charSizeService)||void 0===i||i.measure();break;case"cursorBlink":case"cursorStyle":this.refresh(this.buffer.y,this.buffer.y);break;case"customGlyphs":case"drawBoldTextInBrightColors":case"letterSpacing":case"lineHeight":case"fontWeight":case"fontWeightBold":case"minimumContrastRatio":this._renderService&&(this._renderService.clear(),this._renderService.onResize(this.cols,this.rows),this.refresh(0,this.rows-1));break;case"rendererType":this._renderService&&(this._renderService.setRenderer(this._createRenderer()),this._renderService.onResize(this.cols,this.rows));break;case"scrollback":null===(n=this.viewport)||void 0===n||n.syncScrollArea();break;case"screenReaderMode":this.optionsService.options.screenReaderMode?!this._accessibilityManager&&this._renderService&&(this._accessibilityManager=new y.AccessibilityManager(this,this._renderService)):(null===(o=this._accessibilityManager)||void 0===o||o.dispose(),this._accessibilityManager=void 0);break;case"tabStopWidth":this.buffers.setupTabStops();break;case"theme":this._setTheme(this.optionsService.options.theme)}},t.prototype._onTextAreaFocus=function(e){this.coreService.decPrivateModes.sendFocus&&this.coreService.triggerDataEvent(c.C0.ESC+"[I"),this.updateCursorStyle(e),this.element.classList.add("focus"),this._showCursor(),this._onFocus.fire()},t.prototype.blur=function(){var e;return null===(e=this.textarea)||void 0===e?void 0:e.blur()},t.prototype._onTextAreaBlur=function(){this.textarea.value="",this.refresh(this.buffer.y,this.buffer.y),this.coreService.decPrivateModes.sendFocus&&this.coreService.triggerDataEvent(c.C0.ESC+"[O"),this.element.classList.remove("focus"),this._onBlur.fire()},t.prototype._syncTextArea=function(){if(this.textarea&&this.buffer.isCursorInViewport&&!this._compositionHelper.isComposing&&this._renderService){var e=this.buffer.ybase+this.buffer.y,t=this.buffer.lines.get(e);if(t){var r=Math.min(this.buffer.x,this.cols-1),i=this._renderService.dimensions.actualCellHeight,n=t.getWidth(r),o=this._renderService.dimensions.actualCellWidth*n,s=this.buffer.y*this._renderService.dimensions.actualCellHeight,a=r*this._renderService.dimensions.actualCellWidth;this.textarea.style.left=a+"px",this.textarea.style.top=s+"px",this.textarea.style.width=o+"px",this.textarea.style.height=i+"px",this.textarea.style.lineHeight=i+"px",this.textarea.style.zIndex="-5"}}},t.prototype._initGlobal=function(){var e=this;this._bindKeys(),this.register((0,d.addDisposableDomListener)(this.element,"copy",(function(t){e.hasSelection()&&(0,a.copyHandler)(t,e._selectionService)})));var t=function(t){return(0,a.handlePasteEvent)(t,e.textarea,e.coreService)};this.register((0,d.addDisposableDomListener)(this.textarea,"paste",t)),this.register((0,d.addDisposableDomListener)(this.element,"paste",t)),_.isFirefox?this.register((0,d.addDisposableDomListener)(this.element,"mousedown",(function(t){2===t.button&&(0,a.rightClickHandler)(t,e.textarea,e.screenElement,e._selectionService,e.options.rightClickSelectsWord)}))):this.register((0,d.addDisposableDomListener)(this.element,"contextmenu",(function(t){(0,a.rightClickHandler)(t,e.textarea,e.screenElement,e._selectionService,e.options.rightClickSelectsWord)}))),_.isLinux&&this.register((0,d.addDisposableDomListener)(this.element,"auxclick",(function(t){1===t.button&&(0,a.moveTextAreaUnderMouseCursor)(t,e.textarea,e.screenElement)})))},t.prototype._bindKeys=function(){var e=this;this.register((0,d.addDisposableDomListener)(this.textarea,"keyup",(function(t){return e._keyUp(t)}),!0)),this.register((0,d.addDisposableDomListener)(this.textarea,"keydown",(function(t){return e._keyDown(t)}),!0)),this.register((0,d.addDisposableDomListener)(this.textarea,"keypress",(function(t){return e._keyPress(t)}),!0)),this.register((0,d.addDisposableDomListener)(this.textarea,"compositionstart",(function(){return e._compositionHelper.compositionstart()}))),this.register((0,d.addDisposableDomListener)(this.textarea,"compositionupdate",(function(t){return e._compositionHelper.compositionupdate(t)}))),this.register((0,d.addDisposableDomListener)(this.textarea,"compositionend",(function(){return e._compositionHelper.compositionend()}))),this.register((0,d.addDisposableDomListener)(this.textarea,"input",(function(t){return e._inputEvent(t)}),!0)),this.register(this.onRender((function(){return e._compositionHelper.updateCompositionElements()}))),this.register(this.onRender((function(t){return e._queueLinkification(t.start,t.end)})))},t.prototype.open=function(e){var t=this;if(!e)throw new Error("Terminal requires a parent element.");e.isConnected||this._logService.debug("Terminal.open was called on an element that was not attached to the DOM"),this._document=e.ownerDocument,this.element=this._document.createElement("div"),this.element.dir="ltr",this.element.classList.add("terminal"),this.element.classList.add("xterm"),this.element.setAttribute("tabindex","0"),e.appendChild(this.element);var r=D.createDocumentFragment();this._viewportElement=D.createElement("div"),this._viewportElement.classList.add("xterm-viewport"),r.appendChild(this._viewportElement),this._viewportScrollArea=D.createElement("div"),this._viewportScrollArea.classList.add("xterm-scroll-area"),this._viewportElement.appendChild(this._viewportScrollArea),this.screenElement=D.createElement("div"),this.screenElement.classList.add("xterm-screen"),this._helperContainer=D.createElement("div"),this._helperContainer.classList.add("xterm-helpers"),this.screenElement.appendChild(this._helperContainer),r.appendChild(this.screenElement),this.textarea=D.createElement("textarea"),this.textarea.classList.add("xterm-helper-textarea"),this.textarea.setAttribute("aria-label",p.promptLabel),this.textarea.setAttribute("aria-multiline","false"),this.textarea.setAttribute("autocorrect","off"),this.textarea.setAttribute("autocapitalize","off"),this.textarea.setAttribute("spellcheck","false"),this.textarea.tabIndex=0,this.register((0,d.addDisposableDomListener)(this.textarea,"focus",(function(e){return t._onTextAreaFocus(e)}))),this.register((0,d.addDisposableDomListener)(this.textarea,"blur",(function(){return t._onTextAreaBlur()}))),this._helperContainer.appendChild(this.textarea);var i=this._instantiationService.createInstance(M.CoreBrowserService,this.textarea);this._instantiationService.setService(E.ICoreBrowserService,i),this._charSizeService=this._instantiationService.createInstance(x.CharSizeService,this._document,this._helperContainer),this._instantiationService.setService(E.ICharSizeService,this._charSizeService),this._theme=this.options.theme||this._theme,this._colorManager=new w.ColorManager(D,this.options.allowTransparency),this.register(this.optionsService.onOptionChange((function(e){return t._colorManager.onOptionsChange(e)}))),this._colorManager.setTheme(this._theme),this._characterJoinerService=this._instantiationService.createInstance(O.CharacterJoinerService),this._instantiationService.setService(E.ICharacterJoinerService,this._characterJoinerService);var n=this._createRenderer();this._renderService=this.register(this._instantiationService.createInstance(L.RenderService,n,this.rows,this.screenElement)),this._instantiationService.setService(E.IRenderService,this._renderService),this.register(this._renderService.onRenderedBufferChange((function(e){return t._onRender.fire(e)}))),this.onResize((function(e){return t._renderService.resize(e.cols,e.rows)})),this._compositionView=D.createElement("div"),this._compositionView.classList.add("composition-view"),this._compositionHelper=this._instantiationService.createInstance(o.CompositionHelper,this.textarea,this._compositionView),this._helperContainer.appendChild(this._compositionView),this.element.appendChild(r),this._soundService=this._instantiationService.createInstance(v.SoundService),this._instantiationService.setService(E.ISoundService,this._soundService),this._mouseService=this._instantiationService.createInstance(A.MouseService),this._instantiationService.setService(E.IMouseService,this._mouseService),this.viewport=this._instantiationService.createInstance(s.Viewport,(function(e){return t.scrollLines(e,!0,1)}),this._viewportElement,this._viewportScrollArea,this.element),this.viewport.onThemeChange(this._colorManager.colors),this.register(this._inputHandler.onRequestSyncScrollBar((function(){return t.viewport.syncScrollArea()}))),this.register(this.viewport),this.register(this.onCursorMove((function(){t._renderService.onCursorMove(),t._syncTextArea()}))),this.register(this.onResize((function(){return t._renderService.onResize(t.cols,t.rows)}))),this.register(this.onBlur((function(){return t._renderService.onBlur()}))),this.register(this.onFocus((function(){return t._renderService.onFocus()}))),this.register(this._renderService.onDimensionsChange((function(){return t.viewport.syncScrollArea()}))),this._selectionService=this.register(this._instantiationService.createInstance(f.SelectionService,this.element,this.screenElement,this.linkifier2)),this._instantiationService.setService(E.ISelectionService,this._selectionService),this.register(this._selectionService.onRequestScrollLines((function(e){return t.scrollLines(e.amount,e.suppressScrollEvent)}))),this.register(this._selectionService.onSelectionChange((function(){return t._onSelectionChange.fire()}))),this.register(this._selectionService.onRequestRedraw((function(e){return t._renderService.onSelectionChanged(e.start,e.end,e.columnSelectMode)}))),this.register(this._selectionService.onLinuxMouseSelection((function(e){t.textarea.value=e,t.textarea.focus(),t.textarea.select()}))),this.register(this._onScroll.event((function(e){t.viewport.syncScrollArea(),t._selectionService.refresh()}))),this.register((0,d.addDisposableDomListener)(this._viewportElement,"scroll",(function(){return t._selectionService.refresh()}))),this._mouseZoneManager=this._instantiationService.createInstance(g.MouseZoneManager,this.element,this.screenElement),this.register(this._mouseZoneManager),this.register(this.onScroll((function(){return t._mouseZoneManager.clearAll()}))),this.linkifier.attachToDom(this.element,this._mouseZoneManager),this.linkifier2.attachToDom(this.screenElement,this._mouseService,this._renderService),this.register((0,d.addDisposableDomListener)(this.element,"mousedown",(function(e){return t._selectionService.onMouseDown(e)}))),this.coreMouseService.areMouseEventsActive?(this._selectionService.disable(),this.element.classList.add("enable-mouse-events")):this._selectionService.enable(),this.options.screenReaderMode&&(this._accessibilityManager=new y.AccessibilityManager(this,this._renderService)),this._charSizeService.measure(),this.refresh(0,this.rows-1),this._initGlobal(),this.bindMouse()},t.prototype._createRenderer=function(){switch(this.options.rendererType){case"canvas":return this._instantiationService.createInstance(u.Renderer,this._colorManager.colors,this.screenElement,this.linkifier,this.linkifier2);case"dom":return this._instantiationService.createInstance(m.DomRenderer,this._colorManager.colors,this.element,this.screenElement,this._viewportElement,this.linkifier,this.linkifier2);default:throw new Error('Unrecognized rendererType "'+this.options.rendererType+'"')}},t.prototype._setTheme=function(e){var t,r,i;this._theme=e,null===(t=this._colorManager)||void 0===t||t.setTheme(e),null===(r=this._renderService)||void 0===r||r.setColors(this._colorManager.colors),null===(i=this.viewport)||void 0===i||i.onThemeChange(this._colorManager.colors)},t.prototype.bindMouse=function(){var e=this,t=this,r=this.element;function i(e){var r,i,n=t._mouseService.getRawByteCoords(e,t.screenElement,t.cols,t.rows);if(!n)return!1;switch(e.overrideType||e.type){case"mousemove":i=32,void 0===e.buttons?(r=3,void 0!==e.button&&(r=e.button<3?e.button:3)):r=1&e.buttons?0:4&e.buttons?1:2&e.buttons?2:3;break;case"mouseup":i=0,r=e.button<3?e.button:3;break;case"mousedown":i=1,r=e.button<3?e.button:3;break;case"wheel":0!==e.deltaY&&(i=e.deltaY<0?0:1),r=4;break;default:return!1}return!(void 0===i||void 0===r||r>4)&&t.coreMouseService.triggerMouseEvent({col:n.x-33,row:n.y-33,button:r,action:i,ctrl:e.ctrlKey,alt:e.altKey,shift:e.shiftKey})}var n={mouseup:null,wheel:null,mousedrag:null,mousemove:null},o=function(t){return i(t),t.buttons||(e._document.removeEventListener("mouseup",n.mouseup),n.mousedrag&&e._document.removeEventListener("mousemove",n.mousedrag)),e.cancel(t)},s=function(t){return i(t),e.cancel(t,!0)},a=function(e){e.buttons&&i(e)},l=function(e){e.buttons||i(e)};this.register(this.coreMouseService.onProtocolChange((function(t){t?("debug"===e.optionsService.options.logLevel&&e._logService.debug("Binding to mouse events:",e.coreMouseService.explainEvents(t)),e.element.classList.add("enable-mouse-events"),e._selectionService.disable()):(e._logService.debug("Unbinding from mouse events."),e.element.classList.remove("enable-mouse-events"),e._selectionService.enable()),8&t?n.mousemove||(r.addEventListener("mousemove",l),n.mousemove=l):(r.removeEventListener("mousemove",n.mousemove),n.mousemove=null),16&t?n.wheel||(r.addEventListener("wheel",s,{passive:!1}),n.wheel=s):(r.removeEventListener("wheel",n.wheel),n.wheel=null),2&t?n.mouseup||(n.mouseup=o):(e._document.removeEventListener("mouseup",n.mouseup),n.mouseup=null),4&t?n.mousedrag||(n.mousedrag=a):(e._document.removeEventListener("mousemove",n.mousedrag),n.mousedrag=null)}))),this.coreMouseService.activeProtocol=this.coreMouseService.activeProtocol,this.register((0,d.addDisposableDomListener)(r,"mousedown",(function(t){if(t.preventDefault(),e.focus(),e.coreMouseService.areMouseEventsActive&&!e._selectionService.shouldForceSelection(t))return i(t),n.mouseup&&e._document.addEventListener("mouseup",n.mouseup),n.mousedrag&&e._document.addEventListener("mousemove",n.mousedrag),e.cancel(t)}))),this.register((0,d.addDisposableDomListener)(r,"wheel",(function(t){if(!n.wheel){if(!e.buffer.hasScrollback){var r=e.viewport.getLinesScrolled(t);if(0===r)return;for(var i=c.C0.ESC+(e.coreService.decPrivateModes.applicationCursorKeys?"O":"[")+(t.deltaY<0?"A":"B"),o="",s=0;s<Math.abs(r);s++)o+=i;return e.coreService.triggerDataEvent(o,!0),e.cancel(t,!0)}return e.viewport.onWheel(t)?e.cancel(t):void 0}}),{passive:!1})),this.register((0,d.addDisposableDomListener)(r,"touchstart",(function(t){if(!e.coreMouseService.areMouseEventsActive)return e.viewport.onTouchStart(t),e.cancel(t)}),{passive:!0})),this.register((0,d.addDisposableDomListener)(r,"touchmove",(function(t){if(!e.coreMouseService.areMouseEventsActive)return e.viewport.onTouchMove(t)?void 0:e.cancel(t)}),{passive:!1}))},t.prototype.refresh=function(e,t){var r;null===(r=this._renderService)||void 0===r||r.refreshRows(e,t)},t.prototype._queueLinkification=function(e,t){var r;null===(r=this.linkifier)||void 0===r||r.linkifyRows(e,t)},t.prototype.updateCursorStyle=function(e){var t;(null===(t=this._selectionService)||void 0===t?void 0:t.shouldColumnSelect(e))?this.element.classList.add("column-select"):this.element.classList.remove("column-select")},t.prototype._showCursor=function(){this.coreService.isCursorInitialized||(this.coreService.isCursorInitialized=!0,this.refresh(this.buffer.y,this.buffer.y))},t.prototype.scrollLines=function(t,r,i){void 0===i&&(i=0),e.prototype.scrollLines.call(this,t,r,i),this.refresh(0,this.rows-1)},t.prototype.paste=function(e){(0,a.paste)(e,this.textarea,this.coreService)},t.prototype.attachCustomKeyEventHandler=function(e){this._customKeyEventHandler=e},t.prototype.registerLinkMatcher=function(e,t,r){var i=this.linkifier.registerLinkMatcher(e,t,r);return this.refresh(0,this.rows-1),i},t.prototype.deregisterLinkMatcher=function(e){this.linkifier.deregisterLinkMatcher(e)&&this.refresh(0,this.rows-1)},t.prototype.registerLinkProvider=function(e){return this.linkifier2.registerLinkProvider(e)},t.prototype.registerCharacterJoiner=function(e){if(!this._characterJoinerService)throw new Error("Terminal must be opened first");var t=this._characterJoinerService.register(e);return this.refresh(0,this.rows-1),t},t.prototype.deregisterCharacterJoiner=function(e){if(!this._characterJoinerService)throw new Error("Terminal must be opened first");this._characterJoinerService.deregister(e)&&this.refresh(0,this.rows-1)},Object.defineProperty(t.prototype,"markers",{get:function(){return this.buffer.markers},enumerable:!1,configurable:!0}),t.prototype.addMarker=function(e){if(this.buffer===this.buffers.normal)return this.buffer.addMarker(this.buffer.ybase+this.buffer.y+e)},t.prototype.hasSelection=function(){return!!this._selectionService&&this._selectionService.hasSelection},t.prototype.select=function(e,t,r){this._selectionService.setSelection(e,t,r)},t.prototype.getSelection=function(){return this._selectionService?this._selectionService.selectionText:""},t.prototype.getSelectionPosition=function(){if(this._selectionService&&this._selectionService.hasSelection)return{startColumn:this._selectionService.selectionStart[0],startRow:this._selectionService.selectionStart[1],endColumn:this._selectionService.selectionEnd[0],endRow:this._selectionService.selectionEnd[1]}},t.prototype.clearSelection=function(){var e;null===(e=this._selectionService)||void 0===e||e.clearSelection()},t.prototype.selectAll=function(){var e;null===(e=this._selectionService)||void 0===e||e.selectAll()},t.prototype.selectLines=function(e,t){var r;null===(r=this._selectionService)||void 0===r||r.selectLines(e,t)},t.prototype._keyDown=function(e){if(this._keyDownHandled=!1,this._customKeyEventHandler&&!1===this._customKeyEventHandler(e))return!1;if(!this._compositionHelper.keydown(e))return this.buffer.ybase!==this.buffer.ydisp&&this._bufferService.scrollToBottom(),!1;"Dead"!==e.key&&"AltGraph"!==e.key||(this._unprocessedDeadKey=!0);var t=(0,b.evaluateKeyboardEvent)(e,this.coreService.decPrivateModes.applicationCursorKeys,this.browser.isMac,this.options.macOptionIsMeta);if(this.updateCursorStyle(e),3===t.type||2===t.type){var r=this.rows-1;return this.scrollLines(2===t.type?-r:r),this.cancel(e,!0)}return 1===t.type&&this.selectAll(),!!this._isThirdLevelShift(this.browser,e)||(t.cancel&&this.cancel(e,!0),!t.key||(this._unprocessedDeadKey?(this._unprocessedDeadKey=!1,!0):(t.key!==c.C0.ETX&&t.key!==c.C0.CR||(this.textarea.value=""),this._onKey.fire({key:t.key,domEvent:e}),this._showCursor(),this.coreService.triggerDataEvent(t.key,!0),this.optionsService.options.screenReaderMode?void(this._keyDownHandled=!0):this.cancel(e,!0))))},t.prototype._isThirdLevelShift=function(e,t){var r=e.isMac&&!this.options.macOptionIsMeta&&t.altKey&&!t.ctrlKey&&!t.metaKey||e.isWindows&&t.altKey&&t.ctrlKey&&!t.metaKey||e.isWindows&&t.getModifierState("AltGraph");return"keypress"===t.type?r:r&&(!t.keyCode||t.keyCode>47)},t.prototype._keyUp=function(e){this._customKeyEventHandler&&!1===this._customKeyEventHandler(e)||(function(e){return 16===e.keyCode||17===e.keyCode||18===e.keyCode}(e)||this.focus(),this.updateCursorStyle(e),this._keyPressHandled=!1)},t.prototype._keyPress=function(e){var t;if(this._keyPressHandled=!1,this._keyDownHandled)return!1;if(this._customKeyEventHandler&&!1===this._customKeyEventHandler(e))return!1;if(this.cancel(e),e.charCode)t=e.charCode;else if(null===e.which||void 0===e.which)t=e.keyCode;else{if(0===e.which||0===e.charCode)return!1;t=e.which}return!(!t||(e.altKey||e.ctrlKey||e.metaKey)&&!this._isThirdLevelShift(this.browser,e)||(t=String.fromCharCode(t),this._onKey.fire({key:t,domEvent:e}),this._showCursor(),this.coreService.triggerDataEvent(t,!0),this._keyPressHandled=!0,this._unprocessedDeadKey=!1,0))},t.prototype._inputEvent=function(e){if(e.data&&"insertText"===e.inputType&&!e.composed&&!this.optionsService.options.screenReaderMode){if(this._keyPressHandled)return!1;this._unprocessedDeadKey=!1;var t=e.data;return this.coreService.triggerDataEvent(t,!0),this.cancel(e),!0}return!1},t.prototype.bell=function(){var e;this._soundBell()&&(null===(e=this._soundService)||void 0===e||e.playBellSound()),this._onBell.fire()},t.prototype.resize=function(t,r){t!==this.cols||r!==this.rows?e.prototype.resize.call(this,t,r):this._charSizeService&&!this._charSizeService.hasValidSize&&this._charSizeService.measure()},t.prototype._afterResize=function(e,t){var r,i;null===(r=this._charSizeService)||void 0===r||r.measure(),null===(i=this.viewport)||void 0===i||i.syncScrollArea(!0)},t.prototype.clear=function(){if(0!==this.buffer.ybase||0!==this.buffer.y){this.buffer.lines.set(0,this.buffer.lines.get(this.buffer.ybase+this.buffer.y)),this.buffer.lines.length=1,this.buffer.ydisp=0,this.buffer.ybase=0,this.buffer.y=0;for(var e=1;e<this.rows;e++)this.buffer.lines.push(this.buffer.getBlankLine(C.DEFAULT_ATTR_DATA));this.refresh(0,this.rows-1),this._onScroll.fire({position:this.buffer.ydisp,source:0})}},t.prototype.reset=function(){var t,r;this.options.rows=this.rows,this.options.cols=this.cols;var i=this._customKeyEventHandler;this._setup(),e.prototype.reset.call(this),null===(t=this._selectionService)||void 0===t||t.reset(),this._customKeyEventHandler=i,this.refresh(0,this.rows-1),null===(r=this.viewport)||void 0===r||r.syncScrollArea()},t.prototype.clearTextureAtlas=function(){var e;null===(e=this._renderService)||void 0===e||e.clearTextureAtlas()},t.prototype._reportFocus=function(){var e;(null===(e=this.element)||void 0===e?void 0:e.classList.contains("focus"))?this.coreService.triggerDataEvent(c.C0.ESC+"[I"):this.coreService.triggerDataEvent(c.C0.ESC+"[O")},t.prototype._reportWindowsOptions=function(e){if(this._renderService)switch(e){case l.WindowsOptionsReportType.GET_WIN_SIZE_PIXELS:var t=this._renderService.dimensions.scaledCanvasWidth.toFixed(0),r=this._renderService.dimensions.scaledCanvasHeight.toFixed(0);this.coreService.triggerDataEvent(c.C0.ESC+"[4;"+r+";"+t+"t");break;case l.WindowsOptionsReportType.GET_CELL_SIZE_PIXELS:var i=this._renderService.dimensions.scaledCellWidth.toFixed(0),n=this._renderService.dimensions.scaledCellHeight.toFixed(0);this.coreService.triggerDataEvent(c.C0.ESC+"[6;"+n+";"+i+"t")}},t.prototype.cancel=function(e,t){if(this.options.cancelEvents||t)return e.preventDefault(),e.stopPropagation(),!1},t.prototype._visualBell=function(){return!1},t.prototype._soundBell=function(){return"sound"===this.options.bellStyle},t}(R.CoreTerminal);t.Terminal=P},9924:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.TimeBasedDebouncer=void 0;var r=function(){function e(e,t){void 0===t&&(t=1e3),this._renderCallback=e,this._debounceThresholdMS=t,this._lastRefreshMs=0,this._additionalRefreshRequested=!1}return e.prototype.dispose=function(){this._refreshTimeoutID&&clearTimeout(this._refreshTimeoutID)},e.prototype.refresh=function(e,t,r){var i=this;this._rowCount=r,e=void 0!==e?e:0,t=void 0!==t?t:this._rowCount-1,this._rowStart=void 0!==this._rowStart?Math.min(this._rowStart,e):e,this._rowEnd=void 0!==this._rowEnd?Math.max(this._rowEnd,t):t;var n=Date.now();if(n-this._lastRefreshMs>=this._debounceThresholdMS)this._lastRefreshMs=n,this._innerRefresh();else if(!this._additionalRefreshRequested){var o=n-this._lastRefreshMs,s=this._debounceThresholdMS-o;this._additionalRefreshRequested=!0,this._refreshTimeoutID=window.setTimeout((function(){i._lastRefreshMs=Date.now(),i._innerRefresh(),i._additionalRefreshRequested=!1,i._refreshTimeoutID=void 0}),s)}},e.prototype._innerRefresh=function(){if(void 0!==this._rowStart&&void 0!==this._rowEnd&&void 0!==this._rowCount){var e=Math.max(this._rowStart,0),t=Math.min(this._rowEnd,this._rowCount-1);this._rowStart=void 0,this._rowEnd=void 0,this._renderCallback(e,t)}},e}();t.TimeBasedDebouncer=r},1680:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),o=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},s=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.Viewport=void 0;var a=r(844),c=r(3656),l=r(4725),u=r(2585),h=function(e){function t(t,r,i,n,o,s,a,l){var u=e.call(this)||this;return u._scrollLines=t,u._viewportElement=r,u._scrollArea=i,u._element=n,u._bufferService=o,u._optionsService=s,u._charSizeService=a,u._renderService=l,u.scrollBarWidth=0,u._currentRowHeight=0,u._currentScaledCellHeight=0,u._lastRecordedBufferLength=0,u._lastRecordedViewportHeight=0,u._lastRecordedBufferHeight=0,u._lastTouchY=0,u._lastScrollTop=0,u._lastHadScrollBar=!1,u._wheelPartialScroll=0,u._refreshAnimationFrame=null,u._ignoreNextScrollEvent=!1,u.scrollBarWidth=u._viewportElement.offsetWidth-u._scrollArea.offsetWidth||15,u._lastHadScrollBar=!0,u.register((0,c.addDisposableDomListener)(u._viewportElement,"scroll",u._onScroll.bind(u))),u._activeBuffer=u._bufferService.buffer,u.register(u._bufferService.buffers.onBufferActivate((function(e){return u._activeBuffer=e.activeBuffer}))),u._renderDimensions=u._renderService.dimensions,u.register(u._renderService.onDimensionsChange((function(e){return u._renderDimensions=e}))),setTimeout((function(){return u.syncScrollArea()}),0),u}return n(t,e),t.prototype.onThemeChange=function(e){this._viewportElement.style.backgroundColor=e.background.css},t.prototype._refresh=function(e){var t=this;if(e)return this._innerRefresh(),void(null!==this._refreshAnimationFrame&&cancelAnimationFrame(this._refreshAnimationFrame));null===this._refreshAnimationFrame&&(this._refreshAnimationFrame=requestAnimationFrame((function(){return t._innerRefresh()})))},t.prototype._innerRefresh=function(){if(this._charSizeService.height>0){this._currentRowHeight=this._renderService.dimensions.scaledCellHeight/window.devicePixelRatio,this._currentScaledCellHeight=this._renderService.dimensions.scaledCellHeight,this._lastRecordedViewportHeight=this._viewportElement.offsetHeight;var e=Math.round(this._currentRowHeight*this._lastRecordedBufferLength)+(this._lastRecordedViewportHeight-this._renderService.dimensions.canvasHeight);this._lastRecordedBufferHeight!==e&&(this._lastRecordedBufferHeight=e,this._scrollArea.style.height=this._lastRecordedBufferHeight+"px")}var t=this._bufferService.buffer.ydisp*this._currentRowHeight;this._viewportElement.scrollTop!==t&&(this._ignoreNextScrollEvent=!0,this._viewportElement.scrollTop=t),0===this._optionsService.options.scrollback?this.scrollBarWidth=0:this.scrollBarWidth=this._viewportElement.offsetWidth-this._scrollArea.offsetWidth||15,this._lastHadScrollBar=this.scrollBarWidth>0;var r=window.getComputedStyle(this._element),i=parseInt(r.paddingLeft)+parseInt(r.paddingRight);this._viewportElement.style.width=(this._renderService.dimensions.actualCellWidth*this._bufferService.cols+this.scrollBarWidth+(this._lastHadScrollBar?i:0)).toString()+"px",this._refreshAnimationFrame=null},t.prototype.syncScrollArea=function(e){if(void 0===e&&(e=!1),this._lastRecordedBufferLength!==this._bufferService.buffer.lines.length)return this._lastRecordedBufferLength=this._bufferService.buffer.lines.length,void this._refresh(e);this._lastRecordedViewportHeight===this._renderService.dimensions.canvasHeight&&this._lastScrollTop===this._activeBuffer.ydisp*this._currentRowHeight&&this._renderDimensions.scaledCellHeight===this._currentScaledCellHeight?this._lastHadScrollBar!==this._optionsService.options.scrollback>0&&this._refresh(e):this._refresh(e)},t.prototype._onScroll=function(e){if(this._lastScrollTop=this._viewportElement.scrollTop,this._viewportElement.offsetParent){if(this._ignoreNextScrollEvent)return this._ignoreNextScrollEvent=!1,void this._scrollLines(0);var t=Math.round(this._lastScrollTop/this._currentRowHeight)-this._bufferService.buffer.ydisp;this._scrollLines(t)}},t.prototype._bubbleScroll=function(e,t){var r=this._viewportElement.scrollTop+this._lastRecordedViewportHeight;return!(t<0&&0!==this._viewportElement.scrollTop||t>0&&r<this._lastRecordedBufferHeight)||(e.cancelable&&e.preventDefault(),!1)},t.prototype.onWheel=function(e){var t=this._getPixelsScrolled(e);return 0!==t&&(this._viewportElement.scrollTop+=t,this._bubbleScroll(e,t))},t.prototype._getPixelsScrolled=function(e){if(0===e.deltaY||e.shiftKey)return 0;var t=this._applyScrollModifier(e.deltaY,e);return e.deltaMode===WheelEvent.DOM_DELTA_LINE?t*=this._currentRowHeight:e.deltaMode===WheelEvent.DOM_DELTA_PAGE&&(t*=this._currentRowHeight*this._bufferService.rows),t},t.prototype.getLinesScrolled=function(e){if(0===e.deltaY||e.shiftKey)return 0;var t=this._applyScrollModifier(e.deltaY,e);return e.deltaMode===WheelEvent.DOM_DELTA_PIXEL?(t/=this._currentRowHeight+0,this._wheelPartialScroll+=t,t=Math.floor(Math.abs(this._wheelPartialScroll))*(this._wheelPartialScroll>0?1:-1),this._wheelPartialScroll%=1):e.deltaMode===WheelEvent.DOM_DELTA_PAGE&&(t*=this._bufferService.rows),t},t.prototype._applyScrollModifier=function(e,t){var r=this._optionsService.options.fastScrollModifier;return"alt"===r&&t.altKey||"ctrl"===r&&t.ctrlKey||"shift"===r&&t.shiftKey?e*this._optionsService.options.fastScrollSensitivity*this._optionsService.options.scrollSensitivity:e*this._optionsService.options.scrollSensitivity},t.prototype.onTouchStart=function(e){this._lastTouchY=e.touches[0].pageY},t.prototype.onTouchMove=function(e){var t=this._lastTouchY-e.touches[0].pageY;return 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i=!1;!1!==this._optionsService.options.customGlyphs&&(i=(0,u.tryDrawCustomChar)(this._ctx,e.getChars(),t*this._scaledCellWidth,r*this._scaledCellHeight,this._scaledCellWidth,this._scaledCellHeight)),i||this._ctx.fillText(e.getChars(),t*this._scaledCellWidth+this._scaledCharLeft,r*this._scaledCellHeight+this._scaledCharTop+this._scaledCharHeight)},e.prototype._drawChars=function(e,t,r){var o,s,a,c=this._getContrastColor(e);c||e.isFgRGB()||e.isBgRGB()?this._drawUncachedChars(e,t,r,c):(e.isInverse()?(s=e.isBgDefault()?n.INVERTED_DEFAULT_COLOR:e.getBgColor(),a=e.isFgDefault()?n.INVERTED_DEFAULT_COLOR:e.getFgColor()):(a=e.isBgDefault()?i.DEFAULT_COLOR:e.getBgColor(),s=e.isFgDefault()?i.DEFAULT_COLOR:e.getFgColor()),s+=this._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&s<8?8:0,this._currentGlyphIdentifier.chars=e.getChars()||i.WHITESPACE_CELL_CHAR,this._currentGlyphIdentifier.code=e.getCode()||i.WHITESPACE_CELL_CODE,this._currentGlyphIdentifier.bg=a,this._currentGlyphIdentifier.fg=s,this._currentGlyphIdentifier.bold=!!e.isBold(),this._currentGlyphIdentifier.dim=!!e.isDim(),this._currentGlyphIdentifier.italic=!!e.isItalic(),(null===(o=this._charAtlas)||void 0===o?void 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a=e.getFgColor();this._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&a<8&&(a+=8),this._ctx.fillStyle=this._colors.ansi[a].css}this._clipRow(r),e.isDim()&&(this._ctx.globalAlpha=n.DIM_OPACITY);var l=!1;!1!==this._optionsService.options.customGlyphs&&(l=(0,u.tryDrawCustomChar)(this._ctx,e.getChars(),t*this._scaledCellWidth,r*this._scaledCellHeight,this._scaledCellWidth,this._scaledCellHeight)),l||this._ctx.fillText(e.getChars(),t*this._scaledCellWidth+this._scaledCharLeft,r*this._scaledCellHeight+this._scaledCharTop+this._scaledCharHeight),this._ctx.restore()},e.prototype._clipRow=function(e){this._ctx.beginPath(),this._ctx.rect(0,e*this._scaledCellHeight,this._bufferService.cols*this._scaledCellWidth,this._scaledCellHeight),this._ctx.clip()},e.prototype._getFont=function(e,t){return(t?"italic":"")+" "+(e?this._optionsService.options.fontWeightBold:this._optionsService.options.fontWeight)+" "+this._optionsService.options.fontSize*window.devicePixelRatio+"px 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n(t,e),t.prototype.dispose=function(){this._cursorBlinkStateManager&&(this._cursorBlinkStateManager.dispose(),this._cursorBlinkStateManager=void 0),e.prototype.dispose.call(this)},t.prototype.resize=function(t){e.prototype.resize.call(this,t),this._state={x:0,y:0,isFocused:!1,style:"",width:0}},t.prototype.reset=function(){var e;this._clearCursor(),null===(e=this._cursorBlinkStateManager)||void 0===e||e.restartBlinkAnimation(),this.onOptionsChanged()},t.prototype.onBlur=function(){var e;null===(e=this._cursorBlinkStateManager)||void 0===e||e.pause(),this._onRequestRedraw.fire({start:this._bufferService.buffer.y,end:this._bufferService.buffer.y})},t.prototype.onFocus=function(){var e;null===(e=this._cursorBlinkStateManager)||void 0===e||e.resume(),this._onRequestRedraw.fire({start:this._bufferService.buffer.y,end:this._bufferService.buffer.y})},t.prototype.onOptionsChanged=function(){var 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e=0,t=this._renderLayers;e<t.length;e++)t[e].clearTextureAtlas()},t.prototype._updateDimensions=function(){this._charSizeService.hasValidSize&&(this.dimensions.scaledCharWidth=Math.floor(this._charSizeService.width*window.devicePixelRatio),this.dimensions.scaledCharHeight=Math.ceil(this._charSizeService.height*window.devicePixelRatio),this.dimensions.scaledCellHeight=Math.floor(this.dimensions.scaledCharHeight*this._optionsService.options.lineHeight),this.dimensions.scaledCharTop=1===this._optionsService.options.lineHeight?0:Math.round((this.dimensions.scaledCellHeight-this.dimensions.scaledCharHeight)/2),this.dimensions.scaledCellWidth=this.dimensions.scaledCharWidth+Math.round(this._optionsService.options.letterSpacing),this.dimensions.scaledCharLeft=Math.floor(this._optionsService.options.letterSpacing/2),this.dimensions.scaledCanvasHeight=this._bufferService.rows*this.dimensions.scaledCellHeight,this.dimensions.scaledCanvasWidth=this._bufferService.cols*this.dimensions.scaledCellWidth,this.dimensions.canvasHeight=Math.round(this.dimensions.scaledCanvasHeight/window.devicePixelRatio),this.dimensions.canvasWidth=Math.round(this.dimensions.scaledCanvasWidth/window.devicePixelRatio),this.dimensions.actualCellHeight=this.dimensions.canvasHeight/this._bufferService.rows,this.dimensions.actualCellWidth=this.dimensions.canvasWidth/this._bufferService.cols)},o([s(4,_.IInstantiationService),s(5,_.IBufferService),s(6,f.ICharSizeService),s(7,_.IOptionsService)],t)}(h.Disposable);t.Renderer=g},1752:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.throwIfFalsy=void 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u=e.call(this,t,"text",r,n,i,o,s,c)||this;return u._characterJoinerService=l,u._characterWidth=0,u._characterFont="",u._characterOverlapCache={},u._workCell=new h.CellData,u._state=new a.GridCache,u}return n(t,e),t.prototype.resize=function(t){e.prototype.resize.call(this,t);var r=this._getFont(!1,!1);this._characterWidth===t.scaledCharWidth&&this._characterFont===r||(this._characterWidth=t.scaledCharWidth,this._characterFont=r,this._characterOverlapCache={}),this._state.clear(),this._state.resize(this._bufferService.cols,this._bufferService.rows)},t.prototype.reset=function(){this._state.clear(),this._clearAll()},t.prototype._forEachCell=function(e,t,r){for(var i=e;i<=t;i++)for(var n=i+this._bufferService.buffer.ydisp,o=this._bufferService.buffer.lines.get(n),s=this._characterJoinerService.getJoinedCharacters(n),a=0;a<this._bufferService.cols;a++){o.loadCell(a,this._workCell);var c=this._workCell,l=!1,h=a;if(0!==c.getWidth()){if(s.length>0&&a===s[0][0]){l=!0;var f=s.shift();c=new 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r=this;this._forEachCell(e,t,(function(e,t,i){if(!e.isInvisible()&&(r._drawChars(e,t,i),e.isUnderline()||e.isStrikethrough())){if(r._ctx.save(),e.isInverse())if(e.isBgDefault())r._ctx.fillStyle=r._colors.background.css;else if(e.isBgRGB())r._ctx.fillStyle="rgb("+l.AttributeData.toColorRGB(e.getBgColor()).join(",")+")";else{var n=e.getBgColor();r._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&n<8&&(n+=8),r._ctx.fillStyle=r._colors.ansi[n].css}else if(e.isFgDefault())r._ctx.fillStyle=r._colors.foreground.css;else if(e.isFgRGB())r._ctx.fillStyle="rgb("+l.AttributeData.toColorRGB(e.getFgColor()).join(",")+")";else{var o=e.getFgColor();r._optionsService.options.drawBoldTextInBrightColors&&e.isBold()&&o<8&&(o+=8),r._ctx.fillStyle=r._colors.ansi[o].css}e.isStrikethrough()&&r._fillMiddleLineAtCells(t,i,e.getWidth()),e.isUnderline()&&r._fillBottomLineAtCells(t,i,e.getWidth()),r._ctx.restore()}}))},t.prototype.onGridChanged=function(e,t){0!==this._state.cache.length&&(this._charAtlas&&this._charAtlas.beginFrame(),this._clearCells(0,e,this._bufferService.cols,t-e+1),this._drawBackground(e,t),this._drawForeground(e,t))},t.prototype.onOptionsChanged=function(){this._setTransparency(this._optionsService.options.allowTransparency)},t.prototype._isOverlapping=function(e){if(1!==e.getWidth())return!1;if(e.getCode()<256)return!1;var t=e.getChars();if(this._characterOverlapCache.hasOwnProperty(t))return this._characterOverlapCache[t];this._ctx.save(),this._ctx.font=this._characterFont;var r=Math.floor(this._ctx.measureText(t).width)>this._characterWidth;return this._ctx.restore(),this._characterOverlapCache[t]=r,r},o([s(5,f.IBufferService),s(6,f.IOptionsService),s(7,_.ICharacterJoinerService)],t)}(c.BaseRenderLayer);t.TextRenderLayer=p},9616:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.BaseCharAtlas=void 0;var r=function(){function e(){this._didWarmUp=!1}return e.prototype.dispose=function(){},e.prototype.warmUp=function(){this._didWarmUp||(this._doWarmUp(),this._didWarmUp=!0)},e.prototype._doWarmUp=function(){},e.prototype.clear=function(){},e.prototype.beginFrame=function(){},e}();t.BaseCharAtlas=r},1420:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.removeTerminalFromCache=t.acquireCharAtlas=void 0;var i=r(2040),n=r(1906),o=[];t.acquireCharAtlas=function(e,t,r,s,a){for(var c=(0,i.generateConfig)(s,a,e,r),l=0;l<o.length;l++){var u=(h=o[l]).ownedBy.indexOf(t);if(u>=0){if((0,i.configEquals)(h.config,c))return h.atlas;1===h.ownedBy.length?(h.atlas.dispose(),o.splice(l,1)):h.ownedBy.splice(u,1);break}}for(l=0;l<o.length;l++){var h=o[l];if((0,i.configEquals)(h.config,c))return h.ownedBy.push(t),h.atlas}var f={atlas:new n.DynamicCharAtlas(document,c),config:c,ownedBy:[t]};return o.push(f),f.atlas},t.removeTerminalFromCache=function(e){for(var t=0;t<o.length;t++){var r=o[t].ownedBy.indexOf(e);if(-1!==r){1===o[t].ownedBy.length?(o[t].atlas.dispose(),o.splice(t,1)):o[t].ownedBy.splice(r,1);break}}}},2040:function(e,t,r){var i=this&&this.__spreadArray||function(e,t,r){if(r||2===arguments.length)for(var i,n=0,o=t.length;n<o;n++)!i&&n in t||(i||(i=Array.prototype.slice.call(t,0,n)),i[n]=t[n]);return e.concat(i||Array.prototype.slice.call(t))};Object.defineProperty(t,"__esModule",{value:!0}),t.is256Color=t.configEquals=t.generateConfig=void 0;var n=r(643);t.generateConfig=function(e,t,r,n){var o={foreground:n.foreground,background:n.background,cursor:void 0,cursorAccent:void 0,selection:void 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i=r(6114);t.INVERTED_DEFAULT_COLOR=257,t.DIM_OPACITY=.5,t.TEXT_BASELINE=i.isFirefox?"bottom":"ideographic",t.CHAR_ATLAS_CELL_SPACING=1},1906:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.NoneCharAtlas=t.DynamicCharAtlas=t.getGlyphCacheKey=void 0;var o=r(8803),s=r(9616),a=r(5680),c=r(7001),l=r(6114),u=r(1752),h=r(4774),f=1024,_=1024,d={css:"rgba(0, 0, 0, 0)",rgba:0};function p(e){return e.code<<21|e.bg<<12|e.fg<<3|(e.bold?0:4)+(e.dim?0:2)+(e.italic?0:1)}t.getGlyphCacheKey=p;var v=function(e){function t(t,r){var i=e.call(this)||this;i._config=r,i._drawToCacheCount=0,i._glyphsWaitingOnBitmap=[],i._bitmapCommitTimeout=null,i._bitmap=null,i._cacheCanvas=t.createElement("canvas"),i._cacheCanvas.width=f,i._cacheCanvas.height=_,i._cacheCtx=(0,u.throwIfFalsy)(i._cacheCanvas.getContext("2d",{alpha:!0}));var n=t.createElement("canvas");n.width=i._config.scaledCharWidth,n.height=i._config.scaledCharHeight,i._tmpCtx=(0,u.throwIfFalsy)(n.getContext("2d",{alpha:i._config.allowTransparency})),i._width=Math.floor(f/i._config.scaledCharWidth),i._height=Math.floor(_/i._config.scaledCharHeight);var o=i._width*i._height;return i._cacheMap=new c.LRUMap(o),i._cacheMap.prealloc(o),i}return n(t,e),t.prototype.dispose=function(){null!==this._bitmapCommitTimeout&&(window.clearTimeout(this._bitmapCommitTimeout),this._bitmapCommitTimeout=null)},t.prototype.beginFrame=function(){this._drawToCacheCount=0},t.prototype.clear=function(){if(this._cacheMap.size>0){var e=this._width*this._height;this._cacheMap=new c.LRUMap(e),this._cacheMap.prealloc(e)}this._cacheCtx.clearRect(0,0,f,_),this._tmpCtx.clearRect(0,0,this._config.scaledCharWidth,this._config.scaledCharHeight)},t.prototype.draw=function(e,t,r,i){if(32===t.code)return!0;if(!this._canCache(t))return!1;var n=p(t),o=this._cacheMap.get(n);if(null!=o)return this._drawFromCache(e,o,r,i),!0;if(this._drawToCacheCount<100){var s;s=this._cacheMap.size<this._cacheMap.capacity?this._cacheMap.size:this._cacheMap.peek().index;var a=this._drawToCache(t,s);return this._cacheMap.set(n,a),this._drawFromCache(e,a,r,i),!0}return!1},t.prototype._canCache=function(e){return e.code<256},t.prototype._toCoordinateX=function(e){return e%this._width*this._config.scaledCharWidth},t.prototype._toCoordinateY=function(e){return Math.floor(e/this._width)*this._config.scaledCharHeight},t.prototype._drawFromCache=function(e,t,r,i){if(!t.isEmpty){var n=this._toCoordinateX(t.index),o=this._toCoordinateY(t.index);e.drawImage(t.inBitmap?this._bitmap:this._cacheCanvas,n,o,this._config.scaledCharWidth,this._config.scaledCharHeight,r,i,this._config.scaledCharWidth,this._config.scaledCharHeight)}},t.prototype._getColorFromAnsiIndex=function(e){return e<this._config.colors.ansi.length?this._config.colors.ansi[e]:a.DEFAULT_ANSI_COLORS[e]},t.prototype._getBackgroundColor=function(e){return this._config.allowTransparency?d:e.bg===o.INVERTED_DEFAULT_COLOR?this._config.colors.foreground:e.bg<256?this._getColorFromAnsiIndex(e.bg):this._config.colors.background},t.prototype._getForegroundColor=function(e){return e.fg===o.INVERTED_DEFAULT_COLOR?h.color.opaque(this._config.colors.background):e.fg<256?this._getColorFromAnsiIndex(e.fg):this._config.colors.foreground},t.prototype._drawToCache=function(e,t){this._drawToCacheCount++,this._tmpCtx.save();var r=this._getBackgroundColor(e);this._tmpCtx.globalCompositeOperation="copy",this._tmpCtx.fillStyle=r.css,this._tmpCtx.fillRect(0,0,this._config.scaledCharWidth,this._config.scaledCharHeight),this._tmpCtx.globalCompositeOperation="source-over";var i=e.bold?this._config.fontWeightBold:this._config.fontWeight,n=e.italic?"italic":"";this._tmpCtx.font=n+" "+i+" "+this._config.fontSize*this._config.devicePixelRatio+"px "+this._config.fontFamily,this._tmpCtx.textBaseline=o.TEXT_BASELINE,this._tmpCtx.fillStyle=this._getForegroundColor(e).css,e.dim&&(this._tmpCtx.globalAlpha=o.DIM_OPACITY),this._tmpCtx.fillText(e.chars,0,this._config.scaledCharHeight);var s=this._tmpCtx.getImageData(0,0,this._config.scaledCharWidth,this._config.scaledCharHeight),a=!1;if(this._config.allowTransparency||(a=y(s,r)),a&&"_"===e.chars&&!this._config.allowTransparency)for(var 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0!==t?(this._unlinkNode(t),this._appendNode(t),t.value):null},e.prototype.peekValue=function(e){var t=this._map[e];return void 0!==t?t.value:null},e.prototype.peek=function(){var e=this._head;return null===e?null:e.value},e.prototype.set=function(e,t){var r=this._map[e];if(void 0!==r)r=this._map[e],this._unlinkNode(r),r.value=t;else if(this.size>=this.capacity)r=this._head,this._unlinkNode(r),delete this._map[r.key],r.key=e,r.value=t,this._map[e]=r;else{var i=this._nodePool;i.length>0?((r=i.pop()).key=e,r.value=t):r={prev:null,next:null,key:e,value:t},this._map[e]=r,this.size++}this._appendNode(r)},e}();t.LRUMap=r},1296:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a 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f._onLinkHover(e)})),f._linkifier.onHideLinkUnderline((function(e){return f._onLinkLeave(e)})),f._linkifier2.onShowLinkUnderline((function(e){return f._onLinkHover(e)})),f._linkifier2.onHideLinkUnderline((function(e){return f._onLinkLeave(e)})),f}return n(t,e),Object.defineProperty(t.prototype,"onRequestRedraw",{get:function(){return(new 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e=0,t=this._rowElements;e<t.length;e++){var r=t[e];r.style.width=this.dimensions.canvasWidth+"px",r.style.height=this.dimensions.actualCellHeight+"px",r.style.lineHeight=this.dimensions.actualCellHeight+"px",r.style.overflow="hidden"}this._dimensionsStyleElement||(this._dimensionsStyleElement=document.createElement("style"),this._screenElement.appendChild(this._dimensionsStyleElement));var i=this._terminalSelector+" .xterm-rows span { display: inline-block; height: 100%; vertical-align: top; width: "+this.dimensions.actualCellWidth+"px}";this._dimensionsStyleElement.textContent=i,this._selectionContainer.style.height=this._viewportElement.style.height,this._screenElement.style.width=this.dimensions.canvasWidth+"px",this._screenElement.style.height=this.dimensions.canvasHeight+"px"},t.prototype.setColors=function(e){this._colors=e,this._injectCss()},t.prototype._injectCss=function(){var e=this;this._themeStyleElement||(this._themeStyleElement=document.createElement("style"),this._screenElement.appendChild(this._themeStyleElement));var t=this._terminalSelector+" .xterm-rows { color: "+this._colors.foreground.css+"; font-family: "+this._optionsService.options.fontFamily+"; font-size: "+this._optionsService.options.fontSize+"px;}";t+=this._terminalSelector+" span:not(."+a.BOLD_CLASS+") { font-weight: "+this._optionsService.options.fontWeight+";}"+this._terminalSelector+" span."+a.BOLD_CLASS+" { font-weight: "+this._optionsService.options.fontWeightBold+";}"+this._terminalSelector+" span."+a.ITALIC_CLASS+" { font-style: italic;}",t+="@keyframes blink_box_shadow_"+this._terminalClass+" { 50% {  box-shadow: none; }}",t+="@keyframes blink_block_"+this._terminalClass+" { 0% {  background-color: "+this._colors.cursor.css+";  color: "+this._colors.cursorAccent.css+"; } 50% {  background-color: "+this._colors.cursorAccent.css+";  color: "+this._colors.cursor.css+"; }}",t+=this._terminalSelector+" .xterm-rows:not(.xterm-focus) ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_BLOCK_CLASS+" { outline: 1px solid "+this._colors.cursor.css+"; outline-offset: -1px;}"+this._terminalSelector+" .xterm-rows.xterm-focus ."+a.CURSOR_CLASS+"."+a.CURSOR_BLINK_CLASS+":not(."+a.CURSOR_STYLE_BLOCK_CLASS+") { animation: blink_box_shadow_"+this._terminalClass+" 1s step-end infinite;}"+this._terminalSelector+" .xterm-rows.xterm-focus ."+a.CURSOR_CLASS+"."+a.CURSOR_BLINK_CLASS+"."+a.CURSOR_STYLE_BLOCK_CLASS+" { animation: blink_block_"+this._terminalClass+" 1s step-end infinite;}"+this._terminalSelector+" .xterm-rows.xterm-focus ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_BLOCK_CLASS+" { background-color: "+this._colors.cursor.css+"; color: "+this._colors.cursorAccent.css+";}"+this._terminalSelector+" .xterm-rows ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_BAR_CLASS+" { box-shadow: "+this._optionsService.options.cursorWidth+"px 0 0 "+this._colors.cursor.css+" inset;}"+this._terminalSelector+" .xterm-rows ."+a.CURSOR_CLASS+"."+a.CURSOR_STYLE_UNDERLINE_CLASS+" { box-shadow: 0 -1px 0 "+this._colors.cursor.css+" inset;}",t+=this._terminalSelector+" .xterm-selection { position: absolute; top: 0; left: 0; z-index: 1; pointer-events: none;}"+this._terminalSelector+" .xterm-selection div { position: absolute; background-color: "+this._colors.selectionTransparent.css+";}",this._colors.ansi.forEach((function(r,i){t+=e._terminalSelector+" ."+v+i+" { color: "+r.css+"; }"+e._terminalSelector+" ."+g+i+" { background-color: "+r.css+"; }"})),t+=this._terminalSelector+" ."+v+c.INVERTED_DEFAULT_COLOR+" { color: "+_.color.opaque(this._colors.background).css+"; }"+this._terminalSelector+" ."+g+c.INVERTED_DEFAULT_COLOR+" { background-color: "+this._colors.foreground.css+"; }",this._themeStyleElement.textContent=t},t.prototype.onDevicePixelRatioChange=function(){this._updateDimensions()},t.prototype._refreshRowElements=function(e,t){for(var r=this._rowElements.length;r<=t;r++){var i=document.createElement("div");this._rowContainer.appendChild(i),this._rowElements.push(i)}for(;this._rowElements.length>t;)this._rowContainer.removeChild(this._rowElements.pop())},t.prototype.onResize=function(e,t){this._refreshRowElements(e,t),this._updateDimensions()},t.prototype.onCharSizeChanged=function(){this._updateDimensions()},t.prototype.onBlur=function(){this._rowContainer.classList.remove(y)},t.prototype.onFocus=function(){this._rowContainer.classList.add(y)},t.prototype.onSelectionChanged=function(e,t,r){for(;this._selectionContainer.children.length;)this._selectionContainer.removeChild(this._selectionContainer.children[0]);if(e&&t){var i=e[1]-this._bufferService.buffer.ydisp,n=t[1]-this._bufferService.buffer.ydisp,o=Math.max(i,0),s=Math.min(n,this._bufferService.rows-1);if(!(o>=this._bufferService.rows||s<0)){var a=document.createDocumentFragment();if(r)a.appendChild(this._createSelectionElement(o,e[0],t[0],s-o+1));else{var c=i===o?e[0]:0,l=o===n?t[0]:this._bufferService.cols;a.appendChild(this._createSelectionElement(o,c,l));var u=s-o-1;if(a.appendChild(this._createSelectionElement(o+1,0,this._bufferService.cols,u)),o!==s){var h=n===s?t[0]:this._bufferService.cols;a.appendChild(this._createSelectionElement(s,0,h))}}this._selectionContainer.appendChild(a)}}},t.prototype._createSelectionElement=function(e,t,r,i){void 0===i&&(i=1);var n=document.createElement("div");return n.style.height=i*this.dimensions.actualCellHeight+"px",n.style.top=e*this.dimensions.actualCellHeight+"px",n.style.left=t*this.dimensions.actualCellWidth+"px",n.style.width=this.dimensions.actualCellWidth*(r-t)+"px",n},t.prototype.onCursorMove=function(){},t.prototype.onOptionsChanged=function(){this._updateDimensions(),this._injectCss()},t.prototype.clear=function(){for(var e=0,t=this._rowElements;e<t.length;e++)t[e].innerText=""},t.prototype.renderRows=function(e,t){for(var r=this._bufferService.buffer.ybase+this._bufferService.buffer.y,i=Math.min(this._bufferService.buffer.x,this._bufferService.cols-1),n=this._optionsService.options.cursorBlink,o=e;o<=t;o++){var s=this._rowElements[o];s.innerText="";var a=o+this._bufferService.buffer.ydisp,c=this._bufferService.buffer.lines.get(a),l=this._optionsService.options.cursorStyle;s.appendChild(this._rowFactory.createRow(c,a,a===r,l,i,n,this.dimensions.actualCellWidth,this._bufferService.cols))}},Object.defineProperty(t.prototype,"_terminalSelector",{get:function(){return"."+p+this._terminalClass},enumerable:!1,configurable:!0}),t.prototype._onLinkHover=function(e){this._setCellUnderline(e.x1,e.x2,e.y1,e.y2,e.cols,!0)},t.prototype._onLinkLeave=function(e){this._setCellUnderline(e.x1,e.x2,e.y1,e.y2,e.cols,!1)},t.prototype._setCellUnderline=function(e,t,r,i,n,o){for(;e!==t||r!==i;){var s=this._rowElements[r];if(!s)return;var a=s.children[e];a&&(a.style.textDecoration=o?"underline":"none"),++e>=n&&(e=0,r++)}},o([s(6,h.IInstantiationService),s(7,u.ICharSizeService),s(8,h.IOptionsService),s(9,h.IBufferService)],t)}(l.Disposable);t.DomRenderer=b},3787:function(e,t,r){var i=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},n=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.DomRendererRowFactory=t.CURSOR_STYLE_UNDERLINE_CLASS=t.CURSOR_STYLE_BAR_CLASS=t.CURSOR_STYLE_BLOCK_CLASS=t.CURSOR_BLINK_CLASS=t.CURSOR_CLASS=t.STRIKETHROUGH_CLASS=t.UNDERLINE_CLASS=t.ITALIC_CLASS=t.DIM_CLASS=t.BOLD_CLASS=void 0;var o=r(8803),s=r(643),a=r(511),c=r(2585),l=r(4774),u=r(4725),h=r(4269);t.BOLD_CLASS="xterm-bold",t.DIM_CLASS="xterm-dim",t.ITALIC_CLASS="xterm-italic",t.UNDERLINE_CLASS="xterm-underline",t.STRIKETHROUGH_CLASS="xterm-strikethrough",t.CURSOR_CLASS="xterm-cursor",t.CURSOR_BLINK_CLASS="xterm-cursor-blink",t.CURSOR_STYLE_BLOCK_CLASS="xterm-cursor-block",t.CURSOR_STYLE_BAR_CLASS="xterm-cursor-bar",t.CURSOR_STYLE_UNDERLINE_CLASS="xterm-cursor-underline";var f=function(){function e(e,t,r,i,n){this._document=e,this._colors=t,this._characterJoinerService=r,this._optionsService=i,this._coreService=n,this._workCell=new a.CellData}return e.prototype.setColors=function(e){this._colors=e},e.prototype.createRow=function(e,r,i,n,a,c,u,f){for(var d=this._document.createDocumentFragment(),p=this._characterJoinerService.getJoinedCharacters(r),v=0,g=Math.min(e.length,f)-1;g>=0;g--)if(e.loadCell(g,this._workCell).getCode()!==s.NULL_CELL_CODE||i&&g===a){v=g+1;break}for(g=0;g<v;g++){e.loadCell(g,this._workCell);var y=this._workCell.getWidth();if(0!==y){var m=!1,b=g,S=this._workCell;if(p.length>0&&g===p[0][0]){m=!0;var C=p.shift();S=new h.JoinedCellData(this._workCell,e.translateToString(!0,C[0],C[1]),C[1]-C[0]),b=C[1]-1,y=S.getWidth()}var w=this._document.createElement("span");if(y>1&&(w.style.width=u*y+"px"),m&&(w.style.display="inline",a>=g&&a<=b&&(a=g)),!this._coreService.isCursorHidden&&i&&g===a)switch(w.classList.add(t.CURSOR_CLASS),c&&w.classList.add(t.CURSOR_BLINK_CLASS),n){case"bar":w.classList.add(t.CURSOR_STYLE_BAR_CLASS);break;case"underline":w.classList.add(t.CURSOR_STYLE_UNDERLINE_CLASS);break;default:w.classList.add(t.CURSOR_STYLE_BLOCK_CLASS)}S.isBold()&&w.classList.add(t.BOLD_CLASS),S.isItalic()&&w.classList.add(t.ITALIC_CLASS),S.isDim()&&w.classList.add(t.DIM_CLASS),S.isUnderline()&&w.classList.add(t.UNDERLINE_CLASS),S.isInvisible()?w.textContent=s.WHITESPACE_CELL_CHAR:w.textContent=S.getChars()||s.WHITESPACE_CELL_CHAR,S.isStrikethrough()&&w.classList.add(t.STRIKETHROUGH_CLASS);var L=S.getFgColor(),E=S.getFgColorMode(),x=S.getBgColor(),A=S.getBgColorMode(),k=!!S.isInverse();if(k){var M=L;L=x,x=M;var R=E;E=A,A=R}switch(E){case 16777216:case 33554432:S.isBold()&&L<8&&this._optionsService.options.drawBoldTextInBrightColors&&(L+=8),this._applyMinimumContrast(w,this._colors.background,this._colors.ansi[L])||w.classList.add("xterm-fg-"+L);break;case 50331648:var T=l.rgba.toColor(L>>16&255,L>>8&255,255&L);this._applyMinimumContrast(w,this._colors.background,T)||this._addStyle(w,"color:#"+_(L.toString(16),"0",6));break;default:this._applyMinimumContrast(w,this._colors.background,this._colors.foreground)||k&&w.classList.add("xterm-fg-"+o.INVERTED_DEFAULT_COLOR)}switch(A){case 16777216:case 33554432:w.classList.add("xterm-bg-"+x);break;case 50331648:this._addStyle(w,"background-color:#"+_(x.toString(16),"0",6));break;default:k&&w.classList.add("xterm-bg-"+o.INVERTED_DEFAULT_COLOR)}d.appendChild(w),g=b}}return d},e.prototype._applyMinimumContrast=function(e,t,r){if(1===this._optionsService.options.minimumContrastRatio)return!1;var i=this._colors.contrastCache.getColor(this._workCell.bg,this._workCell.fg);return void 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this.isSelectAllActive?[0,0]:this.selectionEnd&&this.selectionStart&&this.areSelectionValuesReversed()?this.selectionEnd:this.selectionStart},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"finalSelectionEnd",{get:function(){if(this.isSelectAllActive)return[this._bufferService.cols,this._bufferService.buffer.ybase+this._bufferService.rows-1];if(this.selectionStart){if(!this.selectionEnd||this.areSelectionValuesReversed()){var e=this.selectionStart[0]+this.selectionStartLength;return e>this._bufferService.cols?e%this._bufferService.cols==0?[this._bufferService.cols,this.selectionStart[1]+Math.floor(e/this._bufferService.cols)-1]:[e%this._bufferService.cols,this.selectionStart[1]+Math.floor(e/this._bufferService.cols)]:[e,this.selectionStart[1]]}return 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this._model.selectionStart=[n.start.x-1,n.start.y-1],this._model.selectionStartLength=(0,v.getRangeLength)(n,this._bufferService.cols),this._model.selectionEnd=void 0,!0;var o=this._getMouseBufferCoords(e);return!!o&&(this._selectWordAt(o,t),this._model.selectionEnd=void 0,!0)},t.prototype.selectAll=function(){this._model.isSelectAllActive=!0,this.refresh(),this._onSelectionChange.fire()},t.prototype.selectLines=function(e,t){this._model.clearSelection(),e=Math.max(e,0),t=Math.min(t,this._bufferService.buffer.lines.length-1),this._model.selectionStart=[0,e],this._model.selectionEnd=[this._bufferService.cols,t],this.refresh(),this._onSelectionChange.fire()},t.prototype._onTrim=function(e){this._model.onTrim(e)&&this.refresh()},t.prototype._getMouseBufferCoords=function(e){var t=this._mouseService.getCoords(e,this._screenElement,this._bufferService.cols,this._bufferService.rows,!0);if(t)return t[0]--,t[1]--,t[1]+=this._bufferService.buffer.ydisp,t},t.prototype._getMouseEventScrollAmount=function(e){var t=(0,_.getCoordsRelativeToElement)(e,this._screenElement)[1],r=this._renderService.dimensions.canvasHeight;return t>=0&&t<=r?0:(t>r&&(t-=r),t=Math.min(Math.max(t,-50),50),(t/=50)/Math.abs(t)+Math.round(14*t))},t.prototype.shouldForceSelection=function(e){return a.isMac?e.altKey&&this._optionsService.options.macOptionClickForcesSelection:e.shiftKey},t.prototype.onMouseDown=function(e){if(this._mouseDownTimeStamp=e.timeStamp,(2!==e.button||!this.hasSelection)&&0===e.button){if(!this._enabled){if(!this.shouldForceSelection(e))return;e.stopPropagation()}e.preventDefault(),this._dragScrollAmount=0,this._enabled&&e.shiftKey?this._onIncrementalClick(e):1===e.detail?this._onSingleClick(e):2===e.detail?this._onDoubleClick(e):3===e.detail&&this._onTripleClick(e),this._addMouseDownListeners(),this.refresh(!0)}},t.prototype._addMouseDownListeners=function(){var e=this;this._screenElement.ownerDocument&&(this._screenElement.ownerDocument.addEventListener("mousemove",this._mouseMoveListener),this._screenElement.ownerDocument.addEventListener("mouseup",this._mouseUpListener)),this._dragScrollIntervalTimer=window.setInterval((function(){return e._dragScroll()}),50)},t.prototype._removeMouseDownListeners=function(){this._screenElement.ownerDocument&&(this._screenElement.ownerDocument.removeEventListener("mousemove",this._mouseMoveListener),this._screenElement.ownerDocument.removeEventListener("mouseup",this._mouseUpListener)),clearInterval(this._dragScrollIntervalTimer),this._dragScrollIntervalTimer=void 0},t.prototype._onIncrementalClick=function(e){this._model.selectionStart&&(this._model.selectionEnd=this._getMouseBufferCoords(e))},t.prototype._onSingleClick=function(e){if(this._model.selectionStartLength=0,this._model.isSelectAllActive=!1,this._activeSelectionMode=this.shouldColumnSelect(e)?3:0,this._model.selectionStart=this._getMouseBufferCoords(e),this._model.selectionStart){this._model.selectionEnd=void 0;var t=this._bufferService.buffer.lines.get(this._model.selectionStart[1]);t&&t.length!==this._model.selectionStart[0]&&0===t.hasWidth(this._model.selectionStart[0])&&this._model.selectionStart[0]++}},t.prototype._onDoubleClick=function(e){this._selectWordAtCursor(e,!0)&&(this._activeSelectionMode=1)},t.prototype._onTripleClick=function(e){var t=this._getMouseBufferCoords(e);t&&(this._activeSelectionMode=2,this._selectLineAt(t[1]))},t.prototype.shouldColumnSelect=function(e){return e.altKey&&!(a.isMac&&this._optionsService.options.macOptionClickForcesSelection)},t.prototype._onMouseMove=function(e){if(e.stopImmediatePropagation(),this._model.selectionStart){var t=this._model.selectionEnd?[this._model.selectionEnd[0],this._model.selectionEnd[1]]:null;if(this._model.selectionEnd=this._getMouseBufferCoords(e),this._model.selectionEnd){2===this._activeSelectionMode?this._model.selectionEnd[1]<this._model.selectionStart[1]?this._model.selectionEnd[0]=0:this._model.selectionEnd[0]=this._bufferService.cols:1===this._activeSelectionMode&&this._selectToWordAt(this._model.selectionEnd),this._dragScrollAmount=this._getMouseEventScrollAmount(e),3!==this._activeSelectionMode&&(this._dragScrollAmount>0?this._model.selectionEnd[0]=this._bufferService.cols:this._dragScrollAmount<0&&(this._model.selectionEnd[0]=0));var r=this._bufferService.buffer;if(this._model.selectionEnd[1]<r.lines.length){var i=r.lines.get(this._model.selectionEnd[1]);i&&0===i.hasWidth(this._model.selectionEnd[0])&&this._model.selectionEnd[0]++}t&&t[0]===this._model.selectionEnd[0]&&t[1]===this._model.selectionEnd[1]||this.refresh(!0)}else this.refresh(!0)}},t.prototype._dragScroll=function(){if(this._model.selectionEnd&&this._model.selectionStart&&this._dragScrollAmount){this._onRequestScrollLines.fire({amount:this._dragScrollAmount,suppressScrollEvent:!1});var e=this._bufferService.buffer;this._dragScrollAmount>0?(3!==this._activeSelectionMode&&(this._model.selectionEnd[0]=this._bufferService.cols),this._model.selectionEnd[1]=Math.min(e.ydisp+this._bufferService.rows,e.lines.length-1)):(3!==this._activeSelectionMode&&(this._model.selectionEnd[0]=0),this._model.selectionEnd[1]=e.ydisp),this.refresh()}},t.prototype._onMouseUp=function(e){var t=e.timeStamp-this._mouseDownTimeStamp;if(this._removeMouseDownListeners(),this.selectionText.length<=1&&t<500&&e.altKey&&this._optionsService.getOption("altClickMovesCursor")){if(this._bufferService.buffer.ybase===this._bufferService.buffer.ydisp){var r=this._mouseService.getCoords(e,this._element,this._bufferService.cols,this._bufferService.rows,!1);if(r&&void 0!==r[0]&&void 0!==r[1]){var i=(0,d.moveToCellSequence)(r[0]-1,r[1]-1,this._bufferService,this._coreService.decPrivateModes.applicationCursorKeys);this._coreService.triggerDataEvent(i,!0)}}}else this._fireEventIfSelectionChanged()},t.prototype._fireEventIfSelectionChanged=function(){var e=this._model.finalSelectionStart,t=this._model.finalSelectionEnd,r=!(!e||!t||e[0]===t[0]&&e[1]===t[1]);r?e&&t&&(this._oldSelectionStart&&this._oldSelectionEnd&&e[0]===this._oldSelectionStart[0]&&e[1]===this._oldSelectionStart[1]&&t[0]===this._oldSelectionEnd[0]&&t[1]===this._oldSelectionEnd[1]||this._fireOnSelectionChange(e,t,r)):this._oldHasSelection&&this._fireOnSelectionChange(e,t,r)},t.prototype._fireOnSelectionChange=function(e,t,r){this._oldSelectionStart=e,this._oldSelectionEnd=t,this._oldHasSelection=r,this._onSelectionChange.fire()},t.prototype._onBufferActivate=function(e){var t=this;this.clearSelection(),this._trimListener.dispose(),this._trimListener=e.activeBuffer.lines.onTrim((function(e){return t._onTrim(e)}))},t.prototype._convertViewportColToCharacterIndex=function(e,t){for(var r=t[0],i=0;t[0]>=i;i++){var n=e.loadCell(i,this._workCell).getChars().length;0===this._workCell.getWidth()?r--:n>1&&t[0]!==i&&(r+=n-1)}return r},t.prototype.setSelection=function(e,t,r){this._model.clearSelection(),this._removeMouseDownListeners(),this._model.selectionStart=[e,t],this._model.selectionStartLength=r,this.refresh()},t.prototype.rightClickSelect=function(e){this._isClickInSelection(e)||(this._selectWordAtCursor(e,!1)&&this.refresh(!0),this._fireEventIfSelectionChanged())},t.prototype._getWordAt=function(e,t,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=!0),!(e[0]>=this._bufferService.cols)){var n=this._bufferService.buffer,o=n.lines.get(e[1]);if(o){var s=n.translateBufferLineToString(e[1],!1),a=this._convertViewportColToCharacterIndex(o,e),c=a,l=e[0]-a,u=0,h=0,f=0,_=0;if(" "===s.charAt(a)){for(;a>0&&" "===s.charAt(a-1);)a--;for(;c<s.length&&" "===s.charAt(c+1);)c++}else{var d=e[0],p=e[0];0===o.getWidth(d)&&(u++,d--),2===o.getWidth(p)&&(h++,p++);var v=o.getString(p).length;for(v>1&&(_+=v-1,c+=v-1);d>0&&a>0&&!this._isCharWordSeparator(o.loadCell(d-1,this._workCell));){o.loadCell(d-1,this._workCell);var g=this._workCell.getChars().length;0===this._workCell.getWidth()?(u++,d--):g>1&&(f+=g-1,a-=g-1),a--,d--}for(;p<o.length&&c+1<s.length&&!this._isCharWordSeparator(o.loadCell(p+1,this._workCell));){o.loadCell(p+1,this._workCell);var y=this._workCell.getChars().length;2===this._workCell.getWidth()?(h++,p++):y>1&&(_+=y-1,c+=y-1),c++,p++}}c++;var m=a+l-u+f,b=Math.min(this._bufferService.cols,c-a+u+h-f-_);if(t||""!==s.slice(a,c).trim()){if(r&&0===m&&32!==o.getCodePoint(0)){var S=n.lines.get(e[1]-1);if(S&&o.isWrapped&&32!==S.getCodePoint(this._bufferService.cols-1)){var C=this._getWordAt([this._bufferService.cols-1,e[1]-1],!1,!0,!1);if(C){var w=this._bufferService.cols-C.start;m-=w,b+=w}}}if(i&&m+b===this._bufferService.cols&&32!==o.getCodePoint(this._bufferService.cols-1)){var L=n.lines.get(e[1]+1);if((null==L?void 0:L.isWrapped)&&32!==L.getCodePoint(0)){var E=this._getWordAt([0,e[1]+1],!1,!1,!0);E&&(b+=E.length)}}return{start:m,length:b}}}}},t.prototype._selectWordAt=function(e,t){var r=this._getWordAt(e,t);if(r){for(;r.start<0;)r.start+=this._bufferService.cols,e[1]--;this._model.selectionStart=[r.start,e[1]],this._model.selectionStartLength=r.length}},t.prototype._selectToWordAt=function(e){var t=this._getWordAt(e,!0);if(t){for(var r=e[1];t.start<0;)t.start+=this._bufferService.cols,r--;if(!this._model.areSelectionValuesReversed())for(;t.start+t.length>this._bufferService.cols;)t.length-=this._bufferService.cols,r++;this._model.selectionEnd=[this._model.areSelectionValuesReversed()?t.start:t.start+t.length,r]}},t.prototype._isCharWordSeparator=function(e){return 0!==e.getWidth()&&this._optionsService.options.wordSeparator.indexOf(e.getChars())>=0},t.prototype._selectLineAt=function(e){var t=this._bufferService.buffer.getWrappedRangeForLine(e);this._model.selectionStart=[0,t.first],this._model.selectionEnd=[this._bufferService.cols,t.last],this._model.selectionStartLength=0},o([s(3,f.IBufferService),s(4,f.ICoreService),s(5,h.IMouseService),s(6,f.IOptionsService),s(7,h.IRenderService)],t)}(p.Disposable);t.SelectionService=m},4725:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.ICharacterJoinerService=t.ISoundService=t.ISelectionService=t.IRenderService=t.IMouseService=t.ICoreBrowserService=t.ICharSizeService=void 0;var i=r(8343);t.ICharSizeService=(0,i.createDecorator)("CharSizeService"),t.ICoreBrowserService=(0,i.createDecorator)("CoreBrowserService"),t.IMouseService=(0,i.createDecorator)("MouseService"),t.IRenderService=(0,i.createDecorator)("RenderService"),t.ISelectionService=(0,i.createDecorator)("SelectionService"),t.ISoundService=(0,i.createDecorator)("SoundService"),t.ICharacterJoinerService=(0,i.createDecorator)("CharacterJoinerService")},357:function(e,t,r){var i=this&&this.__decorate||function(e,t,r,i){var n,o=arguments.length,s=o<3?t:null===i?i=Object.getOwnPropertyDescriptor(t,r):i;if("object"==typeof Reflect&&"function"==typeof Reflect.decorate)s=Reflect.decorate(e,t,r,i);else for(var a=e.length-1;a>=0;a--)(n=e[a])&&(s=(o<3?n(s):o>3?n(t,r,s):n(t,r))||s);return o>3&&s&&Object.defineProperty(t,r,s),s},n=this&&this.__param||function(e,t){return function(r,i){t(r,i,e)}};Object.defineProperty(t,"__esModule",{value:!0}),t.SoundService=void 0;var o=r(2585),s=function(){function e(e){this._optionsService=e}return Object.defineProperty(e,"audioContext",{get:function(){if(!e._audioContext){var t=window.AudioContext||window.webkitAudioContext;if(!t)return console.warn("Web Audio API is not supported by this browser. Consider upgrading to the latest version"),null;e._audioContext=new t}return e._audioContext},enumerable:!1,configurable:!0}),e.prototype.playBellSound=function(){var t=e.audioContext;if(t){var r=t.createBufferSource();t.decodeAudioData(this._base64ToArrayBuffer(this._removeMimeType(this._optionsService.options.bellSound)),(function(e){r.buffer=e,r.connect(t.destination),r.start(0)}))}},e.prototype._base64ToArrayBuffer=function(e){for(var t=window.atob(e),r=t.length,i=new Uint8Array(r),n=0;n<r;n++)i[n]=t.charCodeAt(n);return i.buffer},e.prototype._removeMimeType=function(e){return e.split(",")[1]},e=i([n(0,o.IOptionsService)],e)}();t.SoundService=s},6349:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.CircularList=void 0;var i=r(8460),n=function(){function e(e){this._maxLength=e,this.onDeleteEmitter=new i.EventEmitter,this.onInsertEmitter=new i.EventEmitter,this.onTrimEmitter=new i.EventEmitter,this._array=new Array(this._maxLength),this._startIndex=0,this._length=0}return Object.defineProperty(e.prototype,"onDelete",{get:function(){return this.onDeleteEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"onInsert",{get:function(){return this.onInsertEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"onTrim",{get:function(){return this.onTrimEmitter.event},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"maxLength",{get:function(){return this._maxLength},set:function(e){if(this._maxLength!==e){for(var t=new Array(e),r=0;r<Math.min(e,this.length);r++)t[r]=this._array[this._getCyclicIndex(r)];this._array=t,this._maxLength=e,this._startIndex=0}},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"length",{get:function(){return this._length},set:function(e){if(e>this._length)for(var t=this._length;t<e;t++)this._array[t]=void 0;this._length=e},enumerable:!1,configurable:!0}),e.prototype.get=function(e){return this._array[this._getCyclicIndex(e)]},e.prototype.set=function(e,t){this._array[this._getCyclicIndex(e)]=t},e.prototype.push=function(e){this._array[this._getCyclicIndex(this._length)]=e,this._length===this._maxLength?(this._startIndex=++this._startIndex%this._maxLength,this.onTrimEmitter.fire(1)):this._length++},e.prototype.recycle=function(){if(this._length!==this._maxLength)throw new Error("Can only recycle when the buffer is full");return this._startIndex=++this._startIndex%this._maxLength,this.onTrimEmitter.fire(1),this._array[this._getCyclicIndex(this._length-1)]},Object.defineProperty(e.prototype,"isFull",{get:function(){return this._length===this._maxLength},enumerable:!1,configurable:!0}),e.prototype.pop=function(){return this._array[this._getCyclicIndex(this._length---1)]},e.prototype.splice=function(e,t){for(var r=[],i=2;i<arguments.length;i++)r[i-2]=arguments[i];if(t){for(var n=e;n<this._length-t;n++)this._array[this._getCyclicIndex(n)]=this._array[this._getCyclicIndex(n+t)];this._length-=t,this.onDeleteEmitter.fire({index:e,amount:t})}for(n=this._length-1;n>=e;n--)this._array[this._getCyclicIndex(n+r.length)]=this._array[this._getCyclicIndex(n)];for(n=0;n<r.length;n++)this._array[this._getCyclicIndex(e+n)]=r[n];if(r.length&&this.onInsertEmitter.fire({index:e,amount:r.length}),this._length+r.length>this._maxLength){var o=this._length+r.length-this._maxLength;this._startIndex+=o,this._length=this._maxLength,this.onTrimEmitter.fire(o)}else this._length+=r.length},e.prototype.trimStart=function(e){e>this._length&&(e=this._length),this._startIndex+=e,this._length-=e,this.onTrimEmitter.fire(e)},e.prototype.shiftElements=function(e,t,r){if(!(t<=0)){if(e<0||e>=this._length)throw new Error("start argument out of range");if(e+r<0)throw new Error("Cannot shift elements in list beyond index 0");if(r>0){for(var i=t-1;i>=0;i--)this.set(e+i+r,this.get(e+i));var n=e+t+r-this._length;if(n>0)for(this._length+=n;this._length>this._maxLength;)this._length--,this._startIndex++,this.onTrimEmitter.fire(1)}else for(i=0;i<t;i++)this.set(e+i+r,this.get(e+i))}},e.prototype._getCyclicIndex=function(e){return(this._startIndex+e)%this._maxLength},e}();t.CircularList=n},1439:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.clone=void 0,t.clone=function e(t,r){if(void 0===r&&(r=5),"object"!=typeof t)return t;var i=Array.isArray(t)?[]:{};for(var n in t)i[n]=r<=1?t[n]:t[n]&&e(t[n],r-1);return i}},8969:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.CoreTerminal=void 0;var o=r(844),s=r(2585),a=r(4348),c=r(7866),l=r(744),u=r(7302),h=r(6975),f=r(8460),_=r(1753),d=r(3730),p=r(1480),v=r(7994),g=r(9282),y=r(5435),m=r(5981),b=!1,S=function(e){function t(t){var r=e.call(this)||this;return r._onBinary=new f.EventEmitter,r._onData=new f.EventEmitter,r._onLineFeed=new f.EventEmitter,r._onResize=new f.EventEmitter,r._onScroll=new f.EventEmitter,r._instantiationService=new a.InstantiationService,r.optionsService=new u.OptionsService(t),r._instantiationService.setService(s.IOptionsService,r.optionsService),r._bufferService=r.register(r._instantiationService.createInstance(l.BufferService)),r._instantiationService.setService(s.IBufferService,r._bufferService),r._logService=r._instantiationService.createInstance(c.LogService),r._instantiationService.setService(s.ILogService,r._logService),r.coreService=r.register(r._instantiationService.createInstance(h.CoreService,(function(){return r.scrollToBottom()}))),r._instantiationService.setService(s.ICoreService,r.coreService),r.coreMouseService=r._instantiationService.createInstance(_.CoreMouseService),r._instantiationService.setService(s.ICoreMouseService,r.coreMouseService),r._dirtyRowService=r._instantiationService.createInstance(d.DirtyRowService),r._instantiationService.setService(s.IDirtyRowService,r._dirtyRowService),r.unicodeService=r._instantiationService.createInstance(p.UnicodeService),r._instantiationService.setService(s.IUnicodeService,r.unicodeService),r._charsetService=r._instantiationService.createInstance(v.CharsetService),r._instantiationService.setService(s.ICharsetService,r._charsetService),r._inputHandler=new y.InputHandler(r._bufferService,r._charsetService,r.coreService,r._dirtyRowService,r._logService,r.optionsService,r.coreMouseService,r.unicodeService),r.register((0,f.forwardEvent)(r._inputHandler.onLineFeed,r._onLineFeed)),r.register(r._inputHandler),r.register((0,f.forwardEvent)(r._bufferService.onResize,r._onResize)),r.register((0,f.forwardEvent)(r.coreService.onData,r._onData)),r.register((0,f.forwardEvent)(r.coreService.onBinary,r._onBinary)),r.register(r.optionsService.onOptionChange((function(e){return r._updateOptions(e)}))),r.register(r._bufferService.onScroll((function(e){r._onScroll.fire({position:r._bufferService.buffer.ydisp,source:0}),r._dirtyRowService.markRangeDirty(r._bufferService.buffer.scrollTop,r._bufferService.buffer.scrollBottom)}))),r.register(r._inputHandler.onScroll((function(e){r._onScroll.fire({position:r._bufferService.buffer.ydisp,source:0}),r._dirtyRowService.markRangeDirty(r._bufferService.buffer.scrollTop,r._bufferService.buffer.scrollBottom)}))),r._writeBuffer=new m.WriteBuffer((function(e,t){return r._inputHandler.parse(e,t)})),r}return n(t,e),Object.defineProperty(t.prototype,"onBinary",{get:function(){return this._onBinary.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onData",{get:function(){return this._onData.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onLineFeed",{get:function(){return this._onLineFeed.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onResize",{get:function(){return this._onResize.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onScroll",{get:function(){var e=this;return this._onScrollApi||(this._onScrollApi=new f.EventEmitter,this.register(this._onScroll.event((function(t){var r;null===(r=e._onScrollApi)||void 0===r||r.fire(t.position)})))),this._onScrollApi.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"cols",{get:function(){return this._bufferService.cols},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"rows",{get:function(){return this._bufferService.rows},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"buffers",{get:function(){return this._bufferService.buffers},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"options",{get:function(){return this.optionsService.options},set:function(e){for(var t in e)this.optionsService.options[t]=e[t]},enumerable:!1,configurable:!0}),t.prototype.dispose=function(){var t;this._isDisposed||(e.prototype.dispose.call(this),null===(t=this._windowsMode)||void 0===t||t.dispose(),this._windowsMode=void 0)},t.prototype.write=function(e,t){this._writeBuffer.write(e,t)},t.prototype.writeSync=function(e,t){this._logService.logLevel<=s.LogLevelEnum.WARN&&!b&&(this._logService.warn("writeSync is unreliable and will be removed soon."),b=!0),this._writeBuffer.writeSync(e,t)},t.prototype.resize=function(e,t){isNaN(e)||isNaN(t)||(e=Math.max(e,l.MINIMUM_COLS),t=Math.max(t,l.MINIMUM_ROWS),this._bufferService.resize(e,t))},t.prototype.scroll=function(e,t){void 0===t&&(t=!1),this._bufferService.scroll(e,t)},t.prototype.scrollLines=function(e,t,r){this._bufferService.scrollLines(e,t,r)},t.prototype.scrollPages=function(e){this._bufferService.scrollPages(e)},t.prototype.scrollToTop=function(){this._bufferService.scrollToTop()},t.prototype.scrollToBottom=function(){this._bufferService.scrollToBottom()},t.prototype.scrollToLine=function(e){this._bufferService.scrollToLine(e)},t.prototype.registerEscHandler=function(e,t){return this._inputHandler.registerEscHandler(e,t)},t.prototype.registerDcsHandler=function(e,t){return this._inputHandler.registerDcsHandler(e,t)},t.prototype.registerCsiHandler=function(e,t){return this._inputHandler.registerCsiHandler(e,t)},t.prototype.registerOscHandler=function(e,t){return this._inputHandler.registerOscHandler(e,t)},t.prototype._setup=function(){this.optionsService.options.windowsMode&&this._enableWindowsMode()},t.prototype.reset=function(){this._inputHandler.reset(),this._bufferService.reset(),this._charsetService.reset(),this.coreService.reset(),this.coreMouseService.reset()},t.prototype._updateOptions=function(e){var t;switch(e){case"scrollback":this.buffers.resize(this.cols,this.rows);break;case"windowsMode":this.optionsService.options.windowsMode?this._enableWindowsMode():(null===(t=this._windowsMode)||void 0===t||t.dispose(),this._windowsMode=void 0)}},t.prototype._enableWindowsMode=function(){var e=this;if(!this._windowsMode){var t=[];t.push(this.onLineFeed(g.updateWindowsModeWrappedState.bind(null,this._bufferService))),t.push(this.registerCsiHandler({final:"H"},(function(){return(0,g.updateWindowsModeWrappedState)(e._bufferService),!1}))),this._windowsMode={dispose:function(){for(var e=0,r=t;e<r.length;e++)r[e].dispose()}}}},t}(o.Disposable);t.CoreTerminal=S},8460:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.forwardEvent=t.EventEmitter=void 0;var r=function(){function e(){this._listeners=[],this._disposed=!1}return Object.defineProperty(e.prototype,"event",{get:function(){var e=this;return this._event||(this._event=function(t){return e._listeners.push(t),{dispose:function(){if(!e._disposed)for(var r=0;r<e._listeners.length;r++)if(e._listeners[r]===t)return void e._listeners.splice(r,1)}}}),this._event},enumerable:!1,configurable:!0}),e.prototype.fire=function(e,t){for(var r=[],i=0;i<this._listeners.length;i++)r.push(this._listeners[i]);for(i=0;i<r.length;i++)r[i].call(void 0,e,t)},e.prototype.dispose=function(){this._listeners&&(this._listeners.length=0),this._disposed=!0},e}();t.EventEmitter=r,t.forwardEvent=function(e,t){return e((function(e){return t.fire(e)}))}},5435:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.InputHandler=t.WindowsOptionsReportType=void 0;var o,s=r(2584),a=r(7116),c=r(2015),l=r(844),u=r(8273),h=r(482),f=r(8437),_=r(8460),d=r(643),p=r(511),v=r(3734),g=r(2585),y=r(6242),m=r(6351),b=r(5941),S={"(":0,")":1,"*":2,"+":3,"-":1,".":2},C=131072;function w(e,t){if(e>24)return t.setWinLines||!1;switch(e){case 1:return!!t.restoreWin;case 2:return!!t.minimizeWin;case 3:return!!t.setWinPosition;case 4:return!!t.setWinSizePixels;case 5:return!!t.raiseWin;case 6:return!!t.lowerWin;case 7:return!!t.refreshWin;case 8:return!!t.setWinSizeChars;case 9:return!!t.maximizeWin;case 10:return!!t.fullscreenWin;case 11:return!!t.getWinState;case 13:return!!t.getWinPosition;case 14:return!!t.getWinSizePixels;case 15:return!!t.getScreenSizePixels;case 16:return!!t.getCellSizePixels;case 18:return!!t.getWinSizeChars;case 19:return!!t.getScreenSizeChars;case 20:return!!t.getIconTitle;case 21:return!!t.getWinTitle;case 22:return!!t.pushTitle;case 23:return!!t.popTitle;case 24:return!!t.setWinLines}return!1}!function(e){e[e.GET_WIN_SIZE_PIXELS=0]="GET_WIN_SIZE_PIXELS",e[e.GET_CELL_SIZE_PIXELS=1]="GET_CELL_SIZE_PIXELS"}(o=t.WindowsOptionsReportType||(t.WindowsOptionsReportType={}));var L=function(){function e(e,t,r,i){this._bufferService=e,this._coreService=t,this._logService=r,this._optionsService=i,this._data=new Uint32Array(0)}return e.prototype.hook=function(e){this._data=new Uint32Array(0)},e.prototype.put=function(e,t,r){this._data=(0,u.concat)(this._data,e.subarray(t,r))},e.prototype.unhook=function(e){if(!e)return this._data=new Uint32Array(0),!0;var t=(0,h.utf32ToString)(this._data);switch(this._data=new Uint32Array(0),t){case'"q':this._coreService.triggerDataEvent(s.C0.ESC+'P1$r0"q'+s.C0.ESC+"\\");break;case'"p':this._coreService.triggerDataEvent(s.C0.ESC+'P1$r61;1"p'+s.C0.ESC+"\\");break;case"r":var r=this._bufferService.buffer.scrollTop+1+";"+(this._bufferService.buffer.scrollBottom+1)+"r";this._coreService.triggerDataEvent(s.C0.ESC+"P1$r"+r+s.C0.ESC+"\\");break;case"m":this._coreService.triggerDataEvent(s.C0.ESC+"P1$r0m"+s.C0.ESC+"\\");break;case" q":var i={block:2,underline:4,bar:6}[this._optionsService.options.cursorStyle];i-=this._optionsService.options.cursorBlink?1:0,this._coreService.triggerDataEvent(s.C0.ESC+"P1$r"+i+" q"+s.C0.ESC+"\\");break;default:this._logService.debug("Unknown DCS $q %s",t),this._coreService.triggerDataEvent(s.C0.ESC+"P0$r"+s.C0.ESC+"\\")}return!0},e}(),E=function(e){function t(t,r,i,n,o,l,u,d,v){void 0===v&&(v=new c.EscapeSequenceParser);var g=e.call(this)||this;g._bufferService=t,g._charsetService=r,g._coreService=i,g._dirtyRowService=n,g._logService=o,g._optionsService=l,g._coreMouseService=u,g._unicodeService=d,g._parser=v,g._parseBuffer=new Uint32Array(4096),g._stringDecoder=new h.StringToUtf32,g._utf8Decoder=new h.Utf8ToUtf32,g._workCell=new p.CellData,g._windowTitle="",g._iconName="",g._windowTitleStack=[],g._iconNameStack=[],g._curAttrData=f.DEFAULT_ATTR_DATA.clone(),g._eraseAttrDataInternal=f.DEFAULT_ATTR_DATA.clone(),g._onRequestBell=new _.EventEmitter,g._onRequestRefreshRows=new _.EventEmitter,g._onRequestReset=new _.EventEmitter,g._onRequestSendFocus=new _.EventEmitter,g._onRequestSyncScrollBar=new _.EventEmitter,g._onRequestWindowsOptionsReport=new _.EventEmitter,g._onA11yChar=new _.EventEmitter,g._onA11yTab=new _.EventEmitter,g._onCursorMove=new _.EventEmitter,g._onLineFeed=new _.EventEmitter,g._onScroll=new _.EventEmitter,g._onTitleChange=new _.EventEmitter,g._onColor=new _.EventEmitter,g._parseStack={paused:!1,cursorStartX:0,cursorStartY:0,decodedLength:0,position:0},g._specialColors=[256,257,258],g.register(g._parser),g._activeBuffer=g._bufferService.buffer,g.register(g._bufferService.buffers.onBufferActivate((function(e){return g._activeBuffer=e.activeBuffer}))),g._parser.setCsiHandlerFallback((function(e,t){g._logService.debug("Unknown CSI code: ",{identifier:g._parser.identToString(e),params:t.toArray()})})),g._parser.setEscHandlerFallback((function(e){g._logService.debug("Unknown ESC code: ",{identifier:g._parser.identToString(e)})})),g._parser.setExecuteHandlerFallback((function(e){g._logService.debug("Unknown EXECUTE code: ",{code:e})})),g._parser.setOscHandlerFallback((function(e,t,r){g._logService.debug("Unknown OSC code: ",{identifier:e,action:t,data:r})})),g._parser.setDcsHandlerFallback((function(e,t,r){"HOOK"===t&&(r=r.toArray()),g._logService.debug("Unknown DCS code: ",{identifier:g._parser.identToString(e),action:t,payload:r})})),g._parser.setPrintHandler((function(e,t,r){return g.print(e,t,r)})),g._parser.registerCsiHandler({final:"@"},(function(e){return g.insertChars(e)})),g._parser.registerCsiHandler({intermediates:" ",final:"@"},(function(e){return g.scrollLeft(e)})),g._parser.registerCsiHandler({final:"A"},(function(e){return g.cursorUp(e)})),g._parser.registerCsiHandler({intermediates:" ",final:"A"},(function(e){return g.scrollRight(e)})),g._parser.registerCsiHandler({final:"B"},(function(e){return g.cursorDown(e)})),g._parser.registerCsiHandler({final:"C"},(function(e){return g.cursorForward(e)})),g._parser.registerCsiHandler({final:"D"},(function(e){return g.cursorBackward(e)})),g._parser.registerCsiHandler({final:"E"},(function(e){return g.cursorNextLine(e)})),g._parser.registerCsiHandler({final:"F"},(function(e){return g.cursorPrecedingLine(e)})),g._parser.registerCsiHandler({final:"G"},(function(e){return g.cursorCharAbsolute(e)})),g._parser.registerCsiHandler({final:"H"},(function(e){return g.cursorPosition(e)})),g._parser.registerCsiHandler({final:"I"},(function(e){return g.cursorForwardTab(e)})),g._parser.registerCsiHandler({final:"J"},(function(e){return g.eraseInDisplay(e)})),g._parser.registerCsiHandler({prefix:"?",final:"J"},(function(e){return g.eraseInDisplay(e)})),g._parser.registerCsiHandler({final:"K"},(function(e){return g.eraseInLine(e)})),g._parser.registerCsiHandler({prefix:"?",final:"K"},(function(e){return g.eraseInLine(e)})),g._parser.registerCsiHandler({final:"L"},(function(e){return g.insertLines(e)})),g._parser.registerCsiHandler({final:"M"},(function(e){return g.deleteLines(e)})),g._parser.registerCsiHandler({final:"P"},(function(e){return g.deleteChars(e)})),g._parser.registerCsiHandler({final:"S"},(function(e){return g.scrollUp(e)})),g._parser.registerCsiHandler({final:"T"},(function(e){return g.scrollDown(e)})),g._parser.registerCsiHandler({final:"X"},(function(e){return g.eraseChars(e)})),g._parser.registerCsiHandler({final:"Z"},(function(e){return g.cursorBackwardTab(e)})),g._parser.registerCsiHandler({final:"`"},(function(e){return g.charPosAbsolute(e)})),g._parser.registerCsiHandler({final:"a"},(function(e){return g.hPositionRelative(e)})),g._parser.registerCsiHandler({final:"b"},(function(e){return g.repeatPrecedingCharacter(e)})),g._parser.registerCsiHandler({final:"c"},(function(e){return g.sendDeviceAttributesPrimary(e)})),g._parser.registerCsiHandler({prefix:">",final:"c"},(function(e){return g.sendDeviceAttributesSecondary(e)})),g._parser.registerCsiHandler({final:"d"},(function(e){return g.linePosAbsolute(e)})),g._parser.registerCsiHandler({final:"e"},(function(e){return g.vPositionRelative(e)})),g._parser.registerCsiHandler({final:"f"},(function(e){return g.hVPosition(e)})),g._parser.registerCsiHandler({final:"g"},(function(e){return g.tabClear(e)})),g._parser.registerCsiHandler({final:"h"},(function(e){return g.setMode(e)})),g._parser.registerCsiHandler({prefix:"?",final:"h"},(function(e){return g.setModePrivate(e)})),g._parser.registerCsiHandler({final:"l"},(function(e){return g.resetMode(e)})),g._parser.registerCsiHandler({prefix:"?",final:"l"},(function(e){return g.resetModePrivate(e)})),g._parser.registerCsiHandler({final:"m"},(function(e){return g.charAttributes(e)})),g._parser.registerCsiHandler({final:"n"},(function(e){return g.deviceStatus(e)})),g._parser.registerCsiHandler({prefix:"?",final:"n"},(function(e){return g.deviceStatusPrivate(e)})),g._parser.registerCsiHandler({intermediates:"!",final:"p"},(function(e){return g.softReset(e)})),g._parser.registerCsiHandler({intermediates:" ",final:"q"},(function(e){return g.setCursorStyle(e)})),g._parser.registerCsiHandler({final:"r"},(function(e){return g.setScrollRegion(e)})),g._parser.registerCsiHandler({final:"s"},(function(e){return g.saveCursor(e)})),g._parser.registerCsiHandler({final:"t"},(function(e){return g.windowOptions(e)})),g._parser.registerCsiHandler({final:"u"},(function(e){return g.restoreCursor(e)})),g._parser.registerCsiHandler({intermediates:"'",final:"}"},(function(e){return g.insertColumns(e)})),g._parser.registerCsiHandler({intermediates:"'",final:"~"},(function(e){return g.deleteColumns(e)})),g._parser.setExecuteHandler(s.C0.BEL,(function(){return g.bell()})),g._parser.setExecuteHandler(s.C0.LF,(function(){return g.lineFeed()})),g._parser.setExecuteHandler(s.C0.VT,(function(){return g.lineFeed()})),g._parser.setExecuteHandler(s.C0.FF,(function(){return g.lineFeed()})),g._parser.setExecuteHandler(s.C0.CR,(function(){return g.carriageReturn()})),g._parser.setExecuteHandler(s.C0.BS,(function(){return g.backspace()})),g._parser.setExecuteHandler(s.C0.HT,(function(){return g.tab()})),g._parser.setExecuteHandler(s.C0.SO,(function(){return g.shiftOut()})),g._parser.setExecuteHandler(s.C0.SI,(function(){return g.shiftIn()})),g._parser.setExecuteHandler(s.C1.IND,(function(){return g.index()})),g._parser.setExecuteHandler(s.C1.NEL,(function(){return g.nextLine()})),g._parser.setExecuteHandler(s.C1.HTS,(function(){return g.tabSet()})),g._parser.registerOscHandler(0,new y.OscHandler((function(e){return g.setTitle(e),g.setIconName(e),!0}))),g._parser.registerOscHandler(1,new y.OscHandler((function(e){return g.setIconName(e)}))),g._parser.registerOscHandler(2,new y.OscHandler((function(e){return g.setTitle(e)}))),g._parser.registerOscHandler(4,new y.OscHandler((function(e){return g.setOrReportIndexedColor(e)}))),g._parser.registerOscHandler(10,new y.OscHandler((function(e){return g.setOrReportFgColor(e)}))),g._parser.registerOscHandler(11,new y.OscHandler((function(e){return g.setOrReportBgColor(e)}))),g._parser.registerOscHandler(12,new y.OscHandler((function(e){return g.setOrReportCursorColor(e)}))),g._parser.registerOscHandler(104,new y.OscHandler((function(e){return g.restoreIndexedColor(e)}))),g._parser.registerOscHandler(110,new y.OscHandler((function(e){return g.restoreFgColor(e)}))),g._parser.registerOscHandler(111,new y.OscHandler((function(e){return g.restoreBgColor(e)}))),g._parser.registerOscHandler(112,new y.OscHandler((function(e){return g.restoreCursorColor(e)}))),g._parser.registerEscHandler({final:"7"},(function(){return g.saveCursor()})),g._parser.registerEscHandler({final:"8"},(function(){return g.restoreCursor()})),g._parser.registerEscHandler({final:"D"},(function(){return g.index()})),g._parser.registerEscHandler({final:"E"},(function(){return g.nextLine()})),g._parser.registerEscHandler({final:"H"},(function(){return g.tabSet()})),g._parser.registerEscHandler({final:"M"},(function(){return g.reverseIndex()})),g._parser.registerEscHandler({final:"="},(function(){return g.keypadApplicationMode()})),g._parser.registerEscHandler({final:">"},(function(){return g.keypadNumericMode()})),g._parser.registerEscHandler({final:"c"},(function(){return g.fullReset()})),g._parser.registerEscHandler({final:"n"},(function(){return g.setgLevel(2)})),g._parser.registerEscHandler({final:"o"},(function(){return g.setgLevel(3)})),g._parser.registerEscHandler({final:"|"},(function(){return g.setgLevel(3)})),g._parser.registerEscHandler({final:"}"},(function(){return g.setgLevel(2)})),g._parser.registerEscHandler({final:"~"},(function(){return g.setgLevel(1)})),g._parser.registerEscHandler({intermediates:"%",final:"@"},(function(){return g.selectDefaultCharset()})),g._parser.registerEscHandler({intermediates:"%",final:"G"},(function(){return g.selectDefaultCharset()}));var m=function(e){b._parser.registerEscHandler({intermediates:"(",final:e},(function(){return g.selectCharset("("+e)})),b._parser.registerEscHandler({intermediates:")",final:e},(function(){return g.selectCharset(")"+e)})),b._parser.registerEscHandler({intermediates:"*",final:e},(function(){return g.selectCharset("*"+e)})),b._parser.registerEscHandler({intermediates:"+",final:e},(function(){return g.selectCharset("+"+e)})),b._parser.registerEscHandler({intermediates:"-",final:e},(function(){return g.selectCharset("-"+e)})),b._parser.registerEscHandler({intermediates:".",final:e},(function(){return g.selectCharset("."+e)})),b._parser.registerEscHandler({intermediates:"/",final:e},(function(){return g.selectCharset("/"+e)}))},b=this;for(var S in a.CHARSETS)m(S);return g._parser.registerEscHandler({intermediates:"#",final:"8"},(function(){return g.screenAlignmentPattern()})),g._parser.setErrorHandler((function(e){return g._logService.error("Parsing error: ",e),e})),g._parser.registerDcsHandler({intermediates:"$",final:"q"},new L(g._bufferService,g._coreService,g._logService,g._optionsService)),g}return n(t,e),Object.defineProperty(t.prototype,"onRequestBell",{get:function(){return this._onRequestBell.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestRefreshRows",{get:function(){return this._onRequestRefreshRows.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestReset",{get:function(){return this._onRequestReset.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestSendFocus",{get:function(){return this._onRequestSendFocus.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestSyncScrollBar",{get:function(){return this._onRequestSyncScrollBar.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onRequestWindowsOptionsReport",{get:function(){return this._onRequestWindowsOptionsReport.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yChar",{get:function(){return this._onA11yChar.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onA11yTab",{get:function(){return this._onA11yTab.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onCursorMove",{get:function(){return this._onCursorMove.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onLineFeed",{get:function(){return this._onLineFeed.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onScroll",{get:function(){return this._onScroll.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onTitleChange",{get:function(){return this._onTitleChange.event},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"onColor",{get:function(){return this._onColor.event},enumerable:!1,configurable:!0}),t.prototype.dispose=function(){e.prototype.dispose.call(this)},t.prototype._preserveStack=function(e,t,r,i){this._parseStack.paused=!0,this._parseStack.cursorStartX=e,this._parseStack.cursorStartY=t,this._parseStack.decodedLength=r,this._parseStack.position=i},t.prototype._logSlowResolvingAsync=function(e){this._logService.logLevel<=g.LogLevelEnum.WARN&&Promise.race([e,new Promise((function(e,t){return setTimeout((function(){return t("#SLOW_TIMEOUT")}),5e3)}))]).catch((function(e){if("#SLOW_TIMEOUT"!==e)throw e;console.warn("async parser handler taking longer than 5000 ms")}))},t.prototype.parse=function(e,t){var r,i=this._activeBuffer.x,n=this._activeBuffer.y,o=0,s=this._parseStack.paused;if(s){if(r=this._parser.parse(this._parseBuffer,this._parseStack.decodedLength,t))return this._logSlowResolvingAsync(r),r;i=this._parseStack.cursorStartX,n=this._parseStack.cursorStartY,this._parseStack.paused=!1,e.length>C&&(o=this._parseStack.position+C)}if(this._logService.logLevel<=g.LogLevelEnum.DEBUG&&this._logService.debug("parsing data"+("string"==typeof e?' "'+e+'"':""),"string"==typeof e?e.split("").map((function(e){return e.charCodeAt(0)})):e),this._parseBuffer.length<e.length&&this._parseBuffer.length<C&&(this._parseBuffer=new Uint32Array(Math.min(e.length,C))),s||this._dirtyRowService.clearRange(),e.length>C)for(var a=o;a<e.length;a+=C){var c=a+C<e.length?a+C:e.length,l="string"==typeof e?this._stringDecoder.decode(e.substring(a,c),this._parseBuffer):this._utf8Decoder.decode(e.subarray(a,c),this._parseBuffer);if(r=this._parser.parse(this._parseBuffer,l))return this._preserveStack(i,n,l,a),this._logSlowResolvingAsync(r),r}else if(!s&&(l="string"==typeof e?this._stringDecoder.decode(e,this._parseBuffer):this._utf8Decoder.decode(e,this._parseBuffer),r=this._parser.parse(this._parseBuffer,l)))return this._preserveStack(i,n,l,0),this._logSlowResolvingAsync(r),r;this._activeBuffer.x===i&&this._activeBuffer.y===n||this._onCursorMove.fire(),this._onRequestRefreshRows.fire(this._dirtyRowService.start,this._dirtyRowService.end)},t.prototype.print=function(e,t,r){var i,n,o=this._charsetService.charset,s=this._optionsService.options.screenReaderMode,a=this._bufferService.cols,c=this._coreService.decPrivateModes.wraparound,l=this._coreService.modes.insertMode,u=this._curAttrData,f=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);this._dirtyRowService.markDirty(this._activeBuffer.y),this._activeBuffer.x&&r-t>0&&2===f.getWidth(this._activeBuffer.x-1)&&f.setCellFromCodePoint(this._activeBuffer.x-1,0,1,u.fg,u.bg,u.extended);for(var _=t;_<r;++_){if(i=e[_],n=this._unicodeService.wcwidth(i),i<127&&o){var p=o[String.fromCharCode(i)];p&&(i=p.charCodeAt(0))}if(s&&this._onA11yChar.fire((0,h.stringFromCodePoint)(i)),n||!this._activeBuffer.x){if(this._activeBuffer.x+n-1>=a)if(c){for(;this._activeBuffer.x<a;)f.setCellFromCodePoint(this._activeBuffer.x++,0,1,u.fg,u.bg,u.extended);this._activeBuffer.x=0,this._activeBuffer.y++,this._activeBuffer.y===this._activeBuffer.scrollBottom+1?(this._activeBuffer.y--,this._bufferService.scroll(this._eraseAttrData(),!0)):(this._activeBuffer.y>=this._bufferService.rows&&(this._activeBuffer.y=this._bufferService.rows-1),this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y).isWrapped=!0),f=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y)}else if(this._activeBuffer.x=a-1,2===n)continue;if(l&&(f.insertCells(this._activeBuffer.x,n,this._activeBuffer.getNullCell(u),u),2===f.getWidth(a-1)&&f.setCellFromCodePoint(a-1,d.NULL_CELL_CODE,d.NULL_CELL_WIDTH,u.fg,u.bg,u.extended)),f.setCellFromCodePoint(this._activeBuffer.x++,i,n,u.fg,u.bg,u.extended),n>0)for(;--n;)f.setCellFromCodePoint(this._activeBuffer.x++,0,0,u.fg,u.bg,u.extended)}else f.getWidth(this._activeBuffer.x-1)?f.addCodepointToCell(this._activeBuffer.x-1,i):f.addCodepointToCell(this._activeBuffer.x-2,i)}r-t>0&&(f.loadCell(this._activeBuffer.x-1,this._workCell),2===this._workCell.getWidth()||this._workCell.getCode()>65535?this._parser.precedingCodepoint=0:this._workCell.isCombined()?this._parser.precedingCodepoint=this._workCell.getChars().charCodeAt(0):this._parser.precedingCodepoint=this._workCell.content),this._activeBuffer.x<a&&r-t>0&&0===f.getWidth(this._activeBuffer.x)&&!f.hasContent(this._activeBuffer.x)&&f.setCellFromCodePoint(this._activeBuffer.x,0,1,u.fg,u.bg,u.extended),this._dirtyRowService.markDirty(this._activeBuffer.y)},t.prototype.registerCsiHandler=function(e,t){var r=this;return"t"!==e.final||e.prefix||e.intermediates?this._parser.registerCsiHandler(e,t):this._parser.registerCsiHandler(e,(function(e){return!w(e.params[0],r._optionsService.options.windowOptions)||t(e)}))},t.prototype.registerDcsHandler=function(e,t){return this._parser.registerDcsHandler(e,new m.DcsHandler(t))},t.prototype.registerEscHandler=function(e,t){return this._parser.registerEscHandler(e,t)},t.prototype.registerOscHandler=function(e,t){return this._parser.registerOscHandler(e,new y.OscHandler(t))},t.prototype.bell=function(){return this._onRequestBell.fire(),!0},t.prototype.lineFeed=function(){return this._dirtyRowService.markDirty(this._activeBuffer.y),this._optionsService.options.convertEol&&(this._activeBuffer.x=0),this._activeBuffer.y++,this._activeBuffer.y===this._activeBuffer.scrollBottom+1?(this._activeBuffer.y--,this._bufferService.scroll(this._eraseAttrData())):this._activeBuffer.y>=this._bufferService.rows&&(this._activeBuffer.y=this._bufferService.rows-1),this._activeBuffer.x>=this._bufferService.cols&&this._activeBuffer.x--,this._dirtyRowService.markDirty(this._activeBuffer.y),this._onLineFeed.fire(),!0},t.prototype.carriageReturn=function(){return this._activeBuffer.x=0,!0},t.prototype.backspace=function(){var e;if(!this._coreService.decPrivateModes.reverseWraparound)return this._restrictCursor(),this._activeBuffer.x>0&&this._activeBuffer.x--,!0;if(this._restrictCursor(this._bufferService.cols),this._activeBuffer.x>0)this._activeBuffer.x--;else if(0===this._activeBuffer.x&&this._activeBuffer.y>this._activeBuffer.scrollTop&&this._activeBuffer.y<=this._activeBuffer.scrollBottom&&(null===(e=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y))||void 0===e?void 0:e.isWrapped)){this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y).isWrapped=!1,this._activeBuffer.y--,this._activeBuffer.x=this._bufferService.cols-1;var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);t.hasWidth(this._activeBuffer.x)&&!t.hasContent(this._activeBuffer.x)&&this._activeBuffer.x--}return this._restrictCursor(),!0},t.prototype.tab=function(){if(this._activeBuffer.x>=this._bufferService.cols)return!0;var e=this._activeBuffer.x;return this._activeBuffer.x=this._activeBuffer.nextStop(),this._optionsService.options.screenReaderMode&&this._onA11yTab.fire(this._activeBuffer.x-e),!0},t.prototype.shiftOut=function(){return this._charsetService.setgLevel(1),!0},t.prototype.shiftIn=function(){return this._charsetService.setgLevel(0),!0},t.prototype._restrictCursor=function(e){void 0===e&&(e=this._bufferService.cols-1),this._activeBuffer.x=Math.min(e,Math.max(0,this._activeBuffer.x)),this._activeBuffer.y=this._coreService.decPrivateModes.origin?Math.min(this._activeBuffer.scrollBottom,Math.max(this._activeBuffer.scrollTop,this._activeBuffer.y)):Math.min(this._bufferService.rows-1,Math.max(0,this._activeBuffer.y)),this._dirtyRowService.markDirty(this._activeBuffer.y)},t.prototype._setCursor=function(e,t){this._dirtyRowService.markDirty(this._activeBuffer.y),this._coreService.decPrivateModes.origin?(this._activeBuffer.x=e,this._activeBuffer.y=this._activeBuffer.scrollTop+t):(this._activeBuffer.x=e,this._activeBuffer.y=t),this._restrictCursor(),this._dirtyRowService.markDirty(this._activeBuffer.y)},t.prototype._moveCursor=function(e,t){this._restrictCursor(),this._setCursor(this._activeBuffer.x+e,this._activeBuffer.y+t)},t.prototype.cursorUp=function(e){var t=this._activeBuffer.y-this._activeBuffer.scrollTop;return t>=0?this._moveCursor(0,-Math.min(t,e.params[0]||1)):this._moveCursor(0,-(e.params[0]||1)),!0},t.prototype.cursorDown=function(e){var t=this._activeBuffer.scrollBottom-this._activeBuffer.y;return t>=0?this._moveCursor(0,Math.min(t,e.params[0]||1)):this._moveCursor(0,e.params[0]||1),!0},t.prototype.cursorForward=function(e){return this._moveCursor(e.params[0]||1,0),!0},t.prototype.cursorBackward=function(e){return this._moveCursor(-(e.params[0]||1),0),!0},t.prototype.cursorNextLine=function(e){return this.cursorDown(e),this._activeBuffer.x=0,!0},t.prototype.cursorPrecedingLine=function(e){return this.cursorUp(e),this._activeBuffer.x=0,!0},t.prototype.cursorCharAbsolute=function(e){return this._setCursor((e.params[0]||1)-1,this._activeBuffer.y),!0},t.prototype.cursorPosition=function(e){return this._setCursor(e.length>=2?(e.params[1]||1)-1:0,(e.params[0]||1)-1),!0},t.prototype.charPosAbsolute=function(e){return this._setCursor((e.params[0]||1)-1,this._activeBuffer.y),!0},t.prototype.hPositionRelative=function(e){return this._moveCursor(e.params[0]||1,0),!0},t.prototype.linePosAbsolute=function(e){return this._setCursor(this._activeBuffer.x,(e.params[0]||1)-1),!0},t.prototype.vPositionRelative=function(e){return this._moveCursor(0,e.params[0]||1),!0},t.prototype.hVPosition=function(e){return this.cursorPosition(e),!0},t.prototype.tabClear=function(e){var t=e.params[0];return 0===t?delete this._activeBuffer.tabs[this._activeBuffer.x]:3===t&&(this._activeBuffer.tabs={}),!0},t.prototype.cursorForwardTab=function(e){if(this._activeBuffer.x>=this._bufferService.cols)return!0;for(var t=e.params[0]||1;t--;)this._activeBuffer.x=this._activeBuffer.nextStop();return!0},t.prototype.cursorBackwardTab=function(e){if(this._activeBuffer.x>=this._bufferService.cols)return!0;for(var t=e.params[0]||1;t--;)this._activeBuffer.x=this._activeBuffer.prevStop();return!0},t.prototype._eraseInBufferLine=function(e,t,r,i){void 0===i&&(i=!1);var n=this._activeBuffer.lines.get(this._activeBuffer.ybase+e);n.replaceCells(t,r,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i&&(n.isWrapped=!1)},t.prototype._resetBufferLine=function(e){var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+e);t.fill(this._activeBuffer.getNullCell(this._eraseAttrData())),t.isWrapped=!1},t.prototype.eraseInDisplay=function(e){var t;switch(this._restrictCursor(this._bufferService.cols),e.params[0]){case 0:for(t=this._activeBuffer.y,this._dirtyRowService.markDirty(t),this._eraseInBufferLine(t++,this._activeBuffer.x,this._bufferService.cols,0===this._activeBuffer.x);t<this._bufferService.rows;t++)this._resetBufferLine(t);this._dirtyRowService.markDirty(t);break;case 1:for(t=this._activeBuffer.y,this._dirtyRowService.markDirty(t),this._eraseInBufferLine(t,0,this._activeBuffer.x+1,!0),this._activeBuffer.x+1>=this._bufferService.cols&&(this._activeBuffer.lines.get(t+1).isWrapped=!1);t--;)this._resetBufferLine(t);this._dirtyRowService.markDirty(0);break;case 2:for(t=this._bufferService.rows,this._dirtyRowService.markDirty(t-1);t--;)this._resetBufferLine(t);this._dirtyRowService.markDirty(0);break;case 3:var r=this._activeBuffer.lines.length-this._bufferService.rows;r>0&&(this._activeBuffer.lines.trimStart(r),this._activeBuffer.ybase=Math.max(this._activeBuffer.ybase-r,0),this._activeBuffer.ydisp=Math.max(this._activeBuffer.ydisp-r,0),this._onScroll.fire(0))}return!0},t.prototype.eraseInLine=function(e){switch(this._restrictCursor(this._bufferService.cols),e.params[0]){case 0:this._eraseInBufferLine(this._activeBuffer.y,this._activeBuffer.x,this._bufferService.cols,0===this._activeBuffer.x);break;case 1:this._eraseInBufferLine(this._activeBuffer.y,0,this._activeBuffer.x+1,!1);break;case 2:this._eraseInBufferLine(this._activeBuffer.y,0,this._bufferService.cols,!0)}return this._dirtyRowService.markDirty(this._activeBuffer.y),!0},t.prototype.insertLines=function(e){this._restrictCursor();var t=e.params[0]||1;if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var r=this._activeBuffer.ybase+this._activeBuffer.y,i=this._bufferService.rows-1-this._activeBuffer.scrollBottom,n=this._bufferService.rows-1+this._activeBuffer.ybase-i+1;t--;)this._activeBuffer.lines.splice(n-1,1),this._activeBuffer.lines.splice(r,0,this._activeBuffer.getBlankLine(this._eraseAttrData()));return this._dirtyRowService.markRangeDirty(this._activeBuffer.y,this._activeBuffer.scrollBottom),this._activeBuffer.x=0,!0},t.prototype.deleteLines=function(e){this._restrictCursor();var t=e.params[0]||1;if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;var r,i=this._activeBuffer.ybase+this._activeBuffer.y;for(r=this._bufferService.rows-1-this._activeBuffer.scrollBottom,r=this._bufferService.rows-1+this._activeBuffer.ybase-r;t--;)this._activeBuffer.lines.splice(i,1),this._activeBuffer.lines.splice(r,0,this._activeBuffer.getBlankLine(this._eraseAttrData()));return this._dirtyRowService.markRangeDirty(this._activeBuffer.y,this._activeBuffer.scrollBottom),this._activeBuffer.x=0,!0},t.prototype.insertChars=function(e){this._restrictCursor();var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);return t&&(t.insertCells(this._activeBuffer.x,e.params[0]||1,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),this._dirtyRowService.markDirty(this._activeBuffer.y)),!0},t.prototype.deleteChars=function(e){this._restrictCursor();var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);return t&&(t.deleteCells(this._activeBuffer.x,e.params[0]||1,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),this._dirtyRowService.markDirty(this._activeBuffer.y)),!0},t.prototype.scrollUp=function(e){for(var t=e.params[0]||1;t--;)this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollTop,1),this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollBottom,0,this._activeBuffer.getBlankLine(this._eraseAttrData()));return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.scrollDown=function(e){for(var t=e.params[0]||1;t--;)this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollBottom,1),this._activeBuffer.lines.splice(this._activeBuffer.ybase+this._activeBuffer.scrollTop,0,this._activeBuffer.getBlankLine(f.DEFAULT_ATTR_DATA));return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.scrollLeft=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.deleteCells(0,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.scrollRight=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.insertCells(0,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.insertColumns=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.insertCells(this._activeBuffer.x,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.deleteColumns=function(e){if(this._activeBuffer.y>this._activeBuffer.scrollBottom||this._activeBuffer.y<this._activeBuffer.scrollTop)return!0;for(var t=e.params[0]||1,r=this._activeBuffer.scrollTop;r<=this._activeBuffer.scrollBottom;++r){var i=this._activeBuffer.lines.get(this._activeBuffer.ybase+r);i.deleteCells(this._activeBuffer.x,t,this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),i.isWrapped=!1}return this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom),!0},t.prototype.eraseChars=function(e){this._restrictCursor();var t=this._activeBuffer.lines.get(this._activeBuffer.ybase+this._activeBuffer.y);return t&&(t.replaceCells(this._activeBuffer.x,this._activeBuffer.x+(e.params[0]||1),this._activeBuffer.getNullCell(this._eraseAttrData()),this._eraseAttrData()),this._dirtyRowService.markDirty(this._activeBuffer.y)),!0},t.prototype.repeatPrecedingCharacter=function(e){if(!this._parser.precedingCodepoint)return!0;for(var t=e.params[0]||1,r=new Uint32Array(t),i=0;i<t;++i)r[i]=this._parser.precedingCodepoint;return this.print(r,0,r.length),!0},t.prototype.sendDeviceAttributesPrimary=function(e){return e.params[0]>0||(this._is("xterm")||this._is("rxvt-unicode")||this._is("screen")?this._coreService.triggerDataEvent(s.C0.ESC+"[?1;2c"):this._is("linux")&&this._coreService.triggerDataEvent(s.C0.ESC+"[?6c")),!0},t.prototype.sendDeviceAttributesSecondary=function(e){return e.params[0]>0||(this._is("xterm")?this._coreService.triggerDataEvent(s.C0.ESC+"[>0;276;0c"):this._is("rxvt-unicode")?this._coreService.triggerDataEvent(s.C0.ESC+"[>85;95;0c"):this._is("linux")?this._coreService.triggerDataEvent(e.params[0]+"c"):this._is("screen")&&this._coreService.triggerDataEvent(s.C0.ESC+"[>83;40003;0c")),!0},t.prototype._is=function(e){return 0===(this._optionsService.options.termName+"").indexOf(e)},t.prototype.setMode=function(e){for(var t=0;t<e.length;t++)4===e.params[t]&&(this._coreService.modes.insertMode=!0);return!0},t.prototype.setModePrivate=function(e){for(var t=0;t<e.length;t++)switch(e.params[t]){case 1:this._coreService.decPrivateModes.applicationCursorKeys=!0;break;case 2:this._charsetService.setgCharset(0,a.DEFAULT_CHARSET),this._charsetService.setgCharset(1,a.DEFAULT_CHARSET),this._charsetService.setgCharset(2,a.DEFAULT_CHARSET),this._charsetService.setgCharset(3,a.DEFAULT_CHARSET);break;case 3:this._optionsService.options.windowOptions.setWinLines&&(this._bufferService.resize(132,this._bufferService.rows),this._onRequestReset.fire());break;case 6:this._coreService.decPrivateModes.origin=!0,this._setCursor(0,0);break;case 7:this._coreService.decPrivateModes.wraparound=!0;break;case 12:break;case 45:this._coreService.decPrivateModes.reverseWraparound=!0;break;case 66:this._logService.debug("Serial port requested application keypad."),this._coreService.decPrivateModes.applicationKeypad=!0,this._onRequestSyncScrollBar.fire();break;case 9:this._coreMouseService.activeProtocol="X10";break;case 1e3:this._coreMouseService.activeProtocol="VT200";break;case 1002:this._coreMouseService.activeProtocol="DRAG";break;case 1003:this._coreMouseService.activeProtocol="ANY";break;case 1004:this._coreService.decPrivateModes.sendFocus=!0,this._onRequestSendFocus.fire();break;case 1005:this._logService.debug("DECSET 1005 not supported (see #2507)");break;case 1006:this._coreMouseService.activeEncoding="SGR";break;case 1015:this._logService.debug("DECSET 1015 not supported (see #2507)");break;case 25:this._coreService.isCursorHidden=!1;break;case 1048:this.saveCursor();break;case 1049:this.saveCursor();case 47:case 1047:this._bufferService.buffers.activateAltBuffer(this._eraseAttrData()),this._coreService.isCursorInitialized=!0,this._onRequestRefreshRows.fire(0,this._bufferService.rows-1),this._onRequestSyncScrollBar.fire();break;case 2004:this._coreService.decPrivateModes.bracketedPasteMode=!0}return!0},t.prototype.resetMode=function(e){for(var t=0;t<e.length;t++)4===e.params[t]&&(this._coreService.modes.insertMode=!1);return!0},t.prototype.resetModePrivate=function(e){for(var t=0;t<e.length;t++)switch(e.params[t]){case 1:this._coreService.decPrivateModes.applicationCursorKeys=!1;break;case 3:this._optionsService.options.windowOptions.setWinLines&&(this._bufferService.resize(80,this._bufferService.rows),this._onRequestReset.fire());break;case 6:this._coreService.decPrivateModes.origin=!1,this._setCursor(0,0);break;case 7:this._coreService.decPrivateModes.wraparound=!1;break;case 12:break;case 45:this._coreService.decPrivateModes.reverseWraparound=!1;break;case 66:this._logService.debug("Switching back to normal keypad."),this._coreService.decPrivateModes.applicationKeypad=!1,this._onRequestSyncScrollBar.fire();break;case 9:case 1e3:case 1002:case 1003:this._coreMouseService.activeProtocol="NONE";break;case 1004:this._coreService.decPrivateModes.sendFocus=!1;break;case 1005:this._logService.debug("DECRST 1005 not supported (see #2507)");break;case 1006:this._coreMouseService.activeEncoding="DEFAULT";break;case 1015:this._logService.debug("DECRST 1015 not supported (see #2507)");break;case 25:this._coreService.isCursorHidden=!0;break;case 1048:this.restoreCursor();break;case 1049:case 47:case 1047:this._bufferService.buffers.activateNormalBuffer(),1049===e.params[t]&&this.restoreCursor(),this._coreService.isCursorInitialized=!0,this._onRequestRefreshRows.fire(0,this._bufferService.rows-1),this._onRequestSyncScrollBar.fire();break;case 2004:this._coreService.decPrivateModes.bracketedPasteMode=!1}return!0},t.prototype._updateAttrColor=function(e,t,r,i,n){return 2===t?(e|=50331648,e&=-16777216,e|=v.AttributeData.fromColorRGB([r,i,n])):5===t&&(e&=-50331904,e|=33554432|255&r),e},t.prototype._extractColor=function(e,t,r){var i=[0,0,-1,0,0,0],n=0,o=0;do{if(i[o+n]=e.params[t+o],e.hasSubParams(t+o)){var s=e.getSubParams(t+o),a=0;do{5===i[1]&&(n=1),i[o+a+1+n]=s[a]}while(++a<s.length&&a+o+1+n<i.length);break}if(5===i[1]&&o+n>=2||2===i[1]&&o+n>=5)break;i[1]&&(n=1)}while(++o+t<e.length&&o+n<i.length);for(a=2;a<i.length;++a)-1===i[a]&&(i[a]=0);switch(i[0]){case 38:r.fg=this._updateAttrColor(r.fg,i[1],i[3],i[4],i[5]);break;case 48:r.bg=this._updateAttrColor(r.bg,i[1],i[3],i[4],i[5]);break;case 58:r.extended=r.extended.clone(),r.extended.underlineColor=this._updateAttrColor(r.extended.underlineColor,i[1],i[3],i[4],i[5])}return o},t.prototype._processUnderline=function(e,t){t.extended=t.extended.clone(),(!~e||e>5)&&(e=1),t.extended.underlineStyle=e,t.fg|=268435456,0===e&&(t.fg&=-268435457),t.updateExtended()},t.prototype.charAttributes=function(e){if(1===e.length&&0===e.params[0])return this._curAttrData.fg=f.DEFAULT_ATTR_DATA.fg,this._curAttrData.bg=f.DEFAULT_ATTR_DATA.bg,!0;for(var t,r=e.length,i=this._curAttrData,n=0;n<r;n++)(t=e.params[n])>=30&&t<=37?(i.fg&=-50331904,i.fg|=16777216|t-30):t>=40&&t<=47?(i.bg&=-50331904,i.bg|=16777216|t-40):t>=90&&t<=97?(i.fg&=-50331904,i.fg|=16777224|t-90):t>=100&&t<=107?(i.bg&=-50331904,i.bg|=16777224|t-100):0===t?(i.fg=f.DEFAULT_ATTR_DATA.fg,i.bg=f.DEFAULT_ATTR_DATA.bg):1===t?i.fg|=134217728:3===t?i.bg|=67108864:4===t?(i.fg|=268435456,this._processUnderline(e.hasSubParams(n)?e.getSubParams(n)[0]:1,i)):5===t?i.fg|=536870912:7===t?i.fg|=67108864:8===t?i.fg|=1073741824:9===t?i.fg|=2147483648:2===t?i.bg|=134217728:21===t?this._processUnderline(2,i):22===t?(i.fg&=-134217729,i.bg&=-134217729):23===t?i.bg&=-67108865:24===t?i.fg&=-268435457:25===t?i.fg&=-536870913:27===t?i.fg&=-67108865:28===t?i.fg&=-1073741825:29===t?i.fg&=2147483647:39===t?(i.fg&=-67108864,i.fg|=16777215&f.DEFAULT_ATTR_DATA.fg):49===t?(i.bg&=-67108864,i.bg|=16777215&f.DEFAULT_ATTR_DATA.bg):38===t||48===t||58===t?n+=this._extractColor(e,n,i):59===t?(i.extended=i.extended.clone(),i.extended.underlineColor=-1,i.updateExtended()):100===t?(i.fg&=-67108864,i.fg|=16777215&f.DEFAULT_ATTR_DATA.fg,i.bg&=-67108864,i.bg|=16777215&f.DEFAULT_ATTR_DATA.bg):this._logService.debug("Unknown SGR attribute: %d.",t);return!0},t.prototype.deviceStatus=function(e){switch(e.params[0]){case 5:this._coreService.triggerDataEvent(s.C0.ESC+"[0n");break;case 6:var t=this._activeBuffer.y+1,r=this._activeBuffer.x+1;this._coreService.triggerDataEvent(s.C0.ESC+"["+t+";"+r+"R")}return!0},t.prototype.deviceStatusPrivate=function(e){if(6===e.params[0]){var t=this._activeBuffer.y+1,r=this._activeBuffer.x+1;this._coreService.triggerDataEvent(s.C0.ESC+"[?"+t+";"+r+"R")}return!0},t.prototype.softReset=function(e){return this._coreService.isCursorHidden=!1,this._onRequestSyncScrollBar.fire(),this._activeBuffer.scrollTop=0,this._activeBuffer.scrollBottom=this._bufferService.rows-1,this._curAttrData=f.DEFAULT_ATTR_DATA.clone(),this._coreService.reset(),this._charsetService.reset(),this._activeBuffer.savedX=0,this._activeBuffer.savedY=this._activeBuffer.ybase,this._activeBuffer.savedCurAttrData.fg=this._curAttrData.fg,this._activeBuffer.savedCurAttrData.bg=this._curAttrData.bg,this._activeBuffer.savedCharset=this._charsetService.charset,this._coreService.decPrivateModes.origin=!1,!0},t.prototype.setCursorStyle=function(e){var t=e.params[0]||1;switch(t){case 1:case 2:this._optionsService.options.cursorStyle="block";break;case 3:case 4:this._optionsService.options.cursorStyle="underline";break;case 5:case 6:this._optionsService.options.cursorStyle="bar"}var r=t%2==1;return this._optionsService.options.cursorBlink=r,!0},t.prototype.setScrollRegion=function(e){var t,r=e.params[0]||1;return(e.length<2||(t=e.params[1])>this._bufferService.rows||0===t)&&(t=this._bufferService.rows),t>r&&(this._activeBuffer.scrollTop=r-1,this._activeBuffer.scrollBottom=t-1,this._setCursor(0,0)),!0},t.prototype.windowOptions=function(e){if(!w(e.params[0],this._optionsService.options.windowOptions))return!0;var t=e.length>1?e.params[1]:0;switch(e.params[0]){case 14:2!==t&&this._onRequestWindowsOptionsReport.fire(o.GET_WIN_SIZE_PIXELS);break;case 16:this._onRequestWindowsOptionsReport.fire(o.GET_CELL_SIZE_PIXELS);break;case 18:this._bufferService&&this._coreService.triggerDataEvent(s.C0.ESC+"[8;"+this._bufferService.rows+";"+this._bufferService.cols+"t");break;case 22:0!==t&&2!==t||(this._windowTitleStack.push(this._windowTitle),this._windowTitleStack.length>10&&this._windowTitleStack.shift()),0!==t&&1!==t||(this._iconNameStack.push(this._iconName),this._iconNameStack.length>10&&this._iconNameStack.shift());break;case 23:0!==t&&2!==t||this._windowTitleStack.length&&this.setTitle(this._windowTitleStack.pop()),0!==t&&1!==t||this._iconNameStack.length&&this.setIconName(this._iconNameStack.pop())}return!0},t.prototype.saveCursor=function(e){return this._activeBuffer.savedX=this._activeBuffer.x,this._activeBuffer.savedY=this._activeBuffer.ybase+this._activeBuffer.y,this._activeBuffer.savedCurAttrData.fg=this._curAttrData.fg,this._activeBuffer.savedCurAttrData.bg=this._curAttrData.bg,this._activeBuffer.savedCharset=this._charsetService.charset,!0},t.prototype.restoreCursor=function(e){return this._activeBuffer.x=this._activeBuffer.savedX||0,this._activeBuffer.y=Math.max(this._activeBuffer.savedY-this._activeBuffer.ybase,0),this._curAttrData.fg=this._activeBuffer.savedCurAttrData.fg,this._curAttrData.bg=this._activeBuffer.savedCurAttrData.bg,this._charsetService.charset=this._savedCharset,this._activeBuffer.savedCharset&&(this._charsetService.charset=this._activeBuffer.savedCharset),this._restrictCursor(),!0},t.prototype.setTitle=function(e){return this._windowTitle=e,this._onTitleChange.fire(e),!0},t.prototype.setIconName=function(e){return this._iconName=e,!0},t.prototype.setOrReportIndexedColor=function(e){for(var t=[],r=e.split(";");r.length>1;){var i=r.shift(),n=r.shift();if(/^\d+$/.exec(i)){var o=parseInt(i);if(0<=o&&o<256)if("?"===n)t.push({type:0,index:o});else{var s=(0,b.parseColor)(n);s&&t.push({type:1,index:o,color:s})}}}return t.length&&this._onColor.fire(t),!0},t.prototype._setOrReportSpecialColor=function(e,t){for(var r=e.split(";"),i=0;i<r.length&&!(t>=this._specialColors.length);++i,++t)if("?"===r[i])this._onColor.fire([{type:0,index:this._specialColors[t]}]);else{var n=(0,b.parseColor)(r[i]);n&&this._onColor.fire([{type:1,index:this._specialColors[t],color:n}])}return!0},t.prototype.setOrReportFgColor=function(e){return this._setOrReportSpecialColor(e,0)},t.prototype.setOrReportBgColor=function(e){return this._setOrReportSpecialColor(e,1)},t.prototype.setOrReportCursorColor=function(e){return this._setOrReportSpecialColor(e,2)},t.prototype.restoreIndexedColor=function(e){if(!e)return this._onColor.fire([{type:2}]),!0;for(var t=[],r=e.split(";"),i=0;i<r.length;++i)if(/^\d+$/.exec(r[i])){var n=parseInt(r[i]);0<=n&&n<256&&t.push({type:2,index:n})}return t.length&&this._onColor.fire(t),!0},t.prototype.restoreFgColor=function(e){return this._onColor.fire([{type:2,index:256}]),!0},t.prototype.restoreBgColor=function(e){return this._onColor.fire([{type:2,index:257}]),!0},t.prototype.restoreCursorColor=function(e){return this._onColor.fire([{type:2,index:258}]),!0},t.prototype.nextLine=function(){return this._activeBuffer.x=0,this.index(),!0},t.prototype.keypadApplicationMode=function(){return this._logService.debug("Serial port requested application keypad."),this._coreService.decPrivateModes.applicationKeypad=!0,this._onRequestSyncScrollBar.fire(),!0},t.prototype.keypadNumericMode=function(){return this._logService.debug("Switching back to normal keypad."),this._coreService.decPrivateModes.applicationKeypad=!1,this._onRequestSyncScrollBar.fire(),!0},t.prototype.selectDefaultCharset=function(){return this._charsetService.setgLevel(0),this._charsetService.setgCharset(0,a.DEFAULT_CHARSET),!0},t.prototype.selectCharset=function(e){return 2!==e.length?(this.selectDefaultCharset(),!0):("/"===e[0]||this._charsetService.setgCharset(S[e[0]],a.CHARSETS[e[1]]||a.DEFAULT_CHARSET),!0)},t.prototype.index=function(){return this._restrictCursor(),this._activeBuffer.y++,this._activeBuffer.y===this._activeBuffer.scrollBottom+1?(this._activeBuffer.y--,this._bufferService.scroll(this._eraseAttrData())):this._activeBuffer.y>=this._bufferService.rows&&(this._activeBuffer.y=this._bufferService.rows-1),this._restrictCursor(),!0},t.prototype.tabSet=function(){return this._activeBuffer.tabs[this._activeBuffer.x]=!0,!0},t.prototype.reverseIndex=function(){if(this._restrictCursor(),this._activeBuffer.y===this._activeBuffer.scrollTop){var e=this._activeBuffer.scrollBottom-this._activeBuffer.scrollTop;this._activeBuffer.lines.shiftElements(this._activeBuffer.ybase+this._activeBuffer.y,e,1),this._activeBuffer.lines.set(this._activeBuffer.ybase+this._activeBuffer.y,this._activeBuffer.getBlankLine(this._eraseAttrData())),this._dirtyRowService.markRangeDirty(this._activeBuffer.scrollTop,this._activeBuffer.scrollBottom)}else this._activeBuffer.y--,this._restrictCursor();return!0},t.prototype.fullReset=function(){return this._parser.reset(),this._onRequestReset.fire(),!0},t.prototype.reset=function(){this._curAttrData=f.DEFAULT_ATTR_DATA.clone(),this._eraseAttrDataInternal=f.DEFAULT_ATTR_DATA.clone()},t.prototype._eraseAttrData=function(){return this._eraseAttrDataInternal.bg&=-67108864,this._eraseAttrDataInternal.bg|=67108863&this._curAttrData.bg,this._eraseAttrDataInternal},t.prototype.setgLevel=function(e){return this._charsetService.setgLevel(e),!0},t.prototype.screenAlignmentPattern=function(){var e=new p.CellData;e.content=1<<22|"E".charCodeAt(0),e.fg=this._curAttrData.fg,e.bg=this._curAttrData.bg,this._setCursor(0,0);for(var t=0;t<this._bufferService.rows;++t){var r=this._activeBuffer.ybase+this._activeBuffer.y+t,i=this._activeBuffer.lines.get(r);i&&(i.fill(e),i.isWrapped=!1)}return this._dirtyRowService.markAllDirty(),this._setCursor(0,0),!0},t}(l.Disposable);t.InputHandler=E},844:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.getDisposeArrayDisposable=t.disposeArray=t.Disposable=void 0;var r=function(){function e(){this._disposables=[],this._isDisposed=!1}return e.prototype.dispose=function(){this._isDisposed=!0;for(var e=0,t=this._disposables;e<t.length;e++)t[e].dispose();this._disposables.length=0},e.prototype.register=function(e){return this._disposables.push(e),e},e.prototype.unregister=function(e){var t=this._disposables.indexOf(e);-1!==t&&this._disposables.splice(t,1)},e}();function i(e){for(var t=0,r=e;t<r.length;t++)r[t].dispose();e.length=0}t.Disposable=r,t.disposeArray=i,t.getDisposeArrayDisposable=function(e){return{dispose:function(){return i(e)}}}},6114:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.isLinux=t.isWindows=t.isIphone=t.isIpad=t.isMac=t.isSafari=t.isFirefox=void 0;var r="undefined"==typeof navigator,i=r?"node":navigator.userAgent,n=r?"node":navigator.platform;t.isFirefox=i.includes("Firefox"),t.isSafari=/^((?!chrome|android).)*safari/i.test(i),t.isMac=["Macintosh","MacIntel","MacPPC","Mac68K"].includes(n),t.isIpad="iPad"===n,t.isIphone="iPhone"===n,t.isWindows=["Windows","Win16","Win32","WinCE"].includes(n),t.isLinux=n.indexOf("Linux")>=0},8273:(e,t)=>{function r(e,t,r,i){if(void 0===r&&(r=0),void 0===i&&(i=e.length),r>=e.length)return e;r=(e.length+r)%e.length,i=i>=e.length?e.length:(e.length+i)%e.length;for(var n=r;n<i;++n)e[n]=t;return e}Object.defineProperty(t,"__esModule",{value:!0}),t.concat=t.fillFallback=t.fill=void 0,t.fill=function(e,t,i,n){return e.fill?e.fill(t,i,n):r(e,t,i,n)},t.fillFallback=r,t.concat=function(e,t){var r=new e.constructor(e.length+t.length);return r.set(e),r.set(t,e.length),r}},9282:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.updateWindowsModeWrappedState=void 0;var i=r(643);t.updateWindowsModeWrappedState=function(e){var t=e.buffer.lines.get(e.buffer.ybase+e.buffer.y-1),r=null==t?void 0:t.get(e.cols-1),n=e.buffer.lines.get(e.buffer.ybase+e.buffer.y);n&&r&&(n.isWrapped=r[i.CHAR_DATA_CODE_INDEX]!==i.NULL_CELL_CODE&&r[i.CHAR_DATA_CODE_INDEX]!==i.WHITESPACE_CELL_CODE)}},3734:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.ExtendedAttrs=t.AttributeData=void 0;var r=function(){function e(){this.fg=0,this.bg=0,this.extended=new i}return e.toColorRGB=function(e){return[e>>>16&255,e>>>8&255,255&e]},e.fromColorRGB=function(e){return(255&e[0])<<16|(255&e[1])<<8|255&e[2]},e.prototype.clone=function(){var t=new e;return t.fg=this.fg,t.bg=this.bg,t.extended=this.extended.clone(),t},e.prototype.isInverse=function(){return 67108864&this.fg},e.prototype.isBold=function(){return 134217728&this.fg},e.prototype.isUnderline=function(){return 268435456&this.fg},e.prototype.isBlink=function(){return 536870912&this.fg},e.prototype.isInvisible=function(){return 1073741824&this.fg},e.prototype.isItalic=function(){return 67108864&this.bg},e.prototype.isDim=function(){return 134217728&this.bg},e.prototype.isStrikethrough=function(){return 2147483648&this.fg},e.prototype.getFgColorMode=function(){return 50331648&this.fg},e.prototype.getBgColorMode=function(){return 50331648&this.bg},e.prototype.isFgRGB=function(){return 50331648==(50331648&this.fg)},e.prototype.isBgRGB=function(){return 50331648==(50331648&this.bg)},e.prototype.isFgPalette=function(){return 16777216==(50331648&this.fg)||33554432==(50331648&this.fg)},e.prototype.isBgPalette=function(){return 16777216==(50331648&this.bg)||33554432==(50331648&this.bg)},e.prototype.isFgDefault=function(){return 0==(50331648&this.fg)},e.prototype.isBgDefault=function(){return 0==(50331648&this.bg)},e.prototype.isAttributeDefault=function(){return 0===this.fg&&0===this.bg},e.prototype.getFgColor=function(){switch(50331648&this.fg){case 16777216:case 33554432:return 255&this.fg;case 50331648:return 16777215&this.fg;default:return-1}},e.prototype.getBgColor=function(){switch(50331648&this.bg){case 16777216:case 33554432:return 255&this.bg;case 50331648:return 16777215&this.bg;default:return-1}},e.prototype.hasExtendedAttrs=function(){return 268435456&this.bg},e.prototype.updateExtended=function(){this.extended.isEmpty()?this.bg&=-268435457:this.bg|=268435456},e.prototype.getUnderlineColor=function(){if(268435456&this.bg&&~this.extended.underlineColor)switch(50331648&this.extended.underlineColor){case 16777216:case 33554432:return 255&this.extended.underlineColor;case 50331648:return 16777215&this.extended.underlineColor;default:return this.getFgColor()}return this.getFgColor()},e.prototype.getUnderlineColorMode=function(){return 268435456&this.bg&&~this.extended.underlineColor?50331648&this.extended.underlineColor:this.getFgColorMode()},e.prototype.isUnderlineColorRGB=function(){return 268435456&this.bg&&~this.extended.underlineColor?50331648==(50331648&this.extended.underlineColor):this.isFgRGB()},e.prototype.isUnderlineColorPalette=function(){return 268435456&this.bg&&~this.extended.underlineColor?16777216==(50331648&this.extended.underlineColor)||33554432==(50331648&this.extended.underlineColor):this.isFgPalette()},e.prototype.isUnderlineColorDefault=function(){return 268435456&this.bg&&~this.extended.underlineColor?0==(50331648&this.extended.underlineColor):this.isFgDefault()},e.prototype.getUnderlineStyle=function(){return 268435456&this.fg?268435456&this.bg?this.extended.underlineStyle:1:0},e}();t.AttributeData=r;var i=function(){function e(e,t){void 0===e&&(e=0),void 0===t&&(t=-1),this.underlineStyle=e,this.underlineColor=t}return e.prototype.clone=function(){return new e(this.underlineStyle,this.underlineColor)},e.prototype.isEmpty=function(){return 0===this.underlineStyle},e}();t.ExtendedAttrs=i},9092:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.BufferStringIterator=t.Buffer=t.MAX_BUFFER_SIZE=void 0;var i=r(6349),n=r(8437),o=r(511),s=r(643),a=r(4634),c=r(4863),l=r(7116),u=r(3734);t.MAX_BUFFER_SIZE=4294967295;var h=function(){function e(e,t,r){this._hasScrollback=e,this._optionsService=t,this._bufferService=r,this.ydisp=0,this.ybase=0,this.y=0,this.x=0,this.savedY=0,this.savedX=0,this.savedCurAttrData=n.DEFAULT_ATTR_DATA.clone(),this.savedCharset=l.DEFAULT_CHARSET,this.markers=[],this._nullCell=o.CellData.fromCharData([0,s.NULL_CELL_CHAR,s.NULL_CELL_WIDTH,s.NULL_CELL_CODE]),this._whitespaceCell=o.CellData.fromCharData([0,s.WHITESPACE_CELL_CHAR,s.WHITESPACE_CELL_WIDTH,s.WHITESPACE_CELL_CODE]),this._cols=this._bufferService.cols,this._rows=this._bufferService.rows,this.lines=new i.CircularList(this._getCorrectBufferLength(this._rows)),this.scrollTop=0,this.scrollBottom=this._rows-1,this.setupTabStops()}return e.prototype.getNullCell=function(e){return e?(this._nullCell.fg=e.fg,this._nullCell.bg=e.bg,this._nullCell.extended=e.extended):(this._nullCell.fg=0,this._nullCell.bg=0,this._nullCell.extended=new u.ExtendedAttrs),this._nullCell},e.prototype.getWhitespaceCell=function(e){return e?(this._whitespaceCell.fg=e.fg,this._whitespaceCell.bg=e.bg,this._whitespaceCell.extended=e.extended):(this._whitespaceCell.fg=0,this._whitespaceCell.bg=0,this._whitespaceCell.extended=new u.ExtendedAttrs),this._whitespaceCell},e.prototype.getBlankLine=function(e,t){return new n.BufferLine(this._bufferService.cols,this.getNullCell(e),t)},Object.defineProperty(e.prototype,"hasScrollback",{get:function(){return this._hasScrollback&&this.lines.maxLength>this._rows},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"isCursorInViewport",{get:function(){var e=this.ybase+this.y-this.ydisp;return e>=0&&e<this._rows},enumerable:!1,configurable:!0}),e.prototype._getCorrectBufferLength=function(e){if(!this._hasScrollback)return e;var r=e+this._optionsService.options.scrollback;return r>t.MAX_BUFFER_SIZE?t.MAX_BUFFER_SIZE:r},e.prototype.fillViewportRows=function(e){if(0===this.lines.length){void 0===e&&(e=n.DEFAULT_ATTR_DATA);for(var t=this._rows;t--;)this.lines.push(this.getBlankLine(e))}},e.prototype.clear=function(){this.ydisp=0,this.ybase=0,this.y=0,this.x=0,this.lines=new i.CircularList(this._getCorrectBufferLength(this._rows)),this.scrollTop=0,this.scrollBottom=this._rows-1,this.setupTabStops()},e.prototype.resize=function(e,t){var r=this.getNullCell(n.DEFAULT_ATTR_DATA),i=this._getCorrectBufferLength(t);if(i>this.lines.maxLength&&(this.lines.maxLength=i),this.lines.length>0){if(this._cols<e)for(var o=0;o<this.lines.length;o++)this.lines.get(o).resize(e,r);var s=0;if(this._rows<t)for(var a=this._rows;a<t;a++)this.lines.length<t+this.ybase&&(this._optionsService.options.windowsMode?this.lines.push(new n.BufferLine(e,r)):this.ybase>0&&this.lines.length<=this.ybase+this.y+s+1?(this.ybase--,s++,this.ydisp>0&&this.ydisp--):this.lines.push(new n.BufferLine(e,r)));else for(a=this._rows;a>t;a--)this.lines.length>t+this.ybase&&(this.lines.length>this.ybase+this.y+1?this.lines.pop():(this.ybase++,this.ydisp++));if(i<this.lines.maxLength){var c=this.lines.length-i;c>0&&(this.lines.trimStart(c),this.ybase=Math.max(this.ybase-c,0),this.ydisp=Math.max(this.ydisp-c,0),this.savedY=Math.max(this.savedY-c,0)),this.lines.maxLength=i}this.x=Math.min(this.x,e-1),this.y=Math.min(this.y,t-1),s&&(this.y+=s),this.savedX=Math.min(this.savedX,e-1),this.scrollTop=0}if(this.scrollBottom=t-1,this._isReflowEnabled&&(this._reflow(e,t),this._cols>e))for(o=0;o<this.lines.length;o++)this.lines.get(o).resize(e,r);this._cols=e,this._rows=t},Object.defineProperty(e.prototype,"_isReflowEnabled",{get:function(){return this._hasScrollback&&!this._optionsService.options.windowsMode},enumerable:!1,configurable:!0}),e.prototype._reflow=function(e,t){this._cols!==e&&(e>this._cols?this._reflowLarger(e,t):this._reflowSmaller(e,t))},e.prototype._reflowLarger=function(e,t){var r=(0,a.reflowLargerGetLinesToRemove)(this.lines,this._cols,e,this.ybase+this.y,this.getNullCell(n.DEFAULT_ATTR_DATA));if(r.length>0){var i=(0,a.reflowLargerCreateNewLayout)(this.lines,r);(0,a.reflowLargerApplyNewLayout)(this.lines,i.layout),this._reflowLargerAdjustViewport(e,t,i.countRemoved)}},e.prototype._reflowLargerAdjustViewport=function(e,t,r){for(var i=this.getNullCell(n.DEFAULT_ATTR_DATA),o=r;o-- >0;)0===this.ybase?(this.y>0&&this.y--,this.lines.length<t&&this.lines.push(new n.BufferLine(e,i))):(this.ydisp===this.ybase&&this.ydisp--,this.ybase--);this.savedY=Math.max(this.savedY-r,0)},e.prototype._reflowSmaller=function(e,t){for(var r=this.getNullCell(n.DEFAULT_ATTR_DATA),i=[],o=0,s=this.lines.length-1;s>=0;s--){var c=this.lines.get(s);if(!(!c||!c.isWrapped&&c.getTrimmedLength()<=e)){for(var l=[c];c.isWrapped&&s>0;)c=this.lines.get(--s),l.unshift(c);var u=this.ybase+this.y;if(!(u>=s&&u<s+l.length)){var h,f=l[l.length-1].getTrimmedLength(),_=(0,a.reflowSmallerGetNewLineLengths)(l,this._cols,e),d=_.length-l.length;h=0===this.ybase&&this.y!==this.lines.length-1?Math.max(0,this.y-this.lines.maxLength+d):Math.max(0,this.lines.length-this.lines.maxLength+d);for(var p=[],v=0;v<d;v++){var g=this.getBlankLine(n.DEFAULT_ATTR_DATA,!0);p.push(g)}p.length>0&&(i.push({start:s+l.length+o,newLines:p}),o+=p.length),l.push.apply(l,p);var y=_.length-1,m=_[y];0===m&&(m=_[--y]);for(var b=l.length-d-1,S=f;b>=0;){var C=Math.min(S,m);if(l[y].copyCellsFrom(l[b],S-C,m-C,C,!0),0==(m-=C)&&(m=_[--y]),0==(S-=C)){b--;var w=Math.max(b,0);S=(0,a.getWrappedLineTrimmedLength)(l,w,this._cols)}}for(v=0;v<l.length;v++)_[v]<e&&l[v].setCell(_[v],r);for(var L=d-h;L-- >0;)0===this.ybase?this.y<t-1?(this.y++,this.lines.pop()):(this.ybase++,this.ydisp++):this.ybase<Math.min(this.lines.maxLength,this.lines.length+o)-t&&(this.ybase===this.ydisp&&this.ydisp++,this.ybase++);this.savedY=Math.min(this.savedY+d,this.ybase+t-1)}}}if(i.length>0){var E=[],x=[];for(v=0;v<this.lines.length;v++)x.push(this.lines.get(v));var A=this.lines.length,k=A-1,M=0,R=i[M];this.lines.length=Math.min(this.lines.maxLength,this.lines.length+o);var T=0;for(v=Math.min(this.lines.maxLength-1,A+o-1);v>=0;v--)if(R&&R.start>k+T){for(var O=R.newLines.length-1;O>=0;O--)this.lines.set(v--,R.newLines[O]);v++,E.push({index:k+1,amount:R.newLines.length}),T+=R.newLines.length,R=i[++M]}else this.lines.set(v,x[k--]);var B=0;for(v=E.length-1;v>=0;v--)E[v].index+=B,this.lines.onInsertEmitter.fire(E[v]),B+=E[v].amount;var D=Math.max(0,A+o-this.lines.maxLength);D>0&&this.lines.onTrimEmitter.fire(D)}},e.prototype.stringIndexToBufferIndex=function(e,t,r){for(void 0===r&&(r=!1);t;){var i=this.lines.get(e);if(!i)return[-1,-1];for(var n=r?i.getTrimmedLength():i.length,o=0;o<n;++o)if(i.get(o)[s.CHAR_DATA_WIDTH_INDEX]&&(t-=i.get(o)[s.CHAR_DATA_CHAR_INDEX].length||1),t<0)return[e,o];e++}return[e,0]},e.prototype.translateBufferLineToString=function(e,t,r,i){void 0===r&&(r=0);var n=this.lines.get(e);return n?n.translateToString(t,r,i):""},e.prototype.getWrappedRangeForLine=function(e){for(var t=e,r=e;t>0&&this.lines.get(t).isWrapped;)t--;for(;r+1<this.lines.length&&this.lines.get(r+1).isWrapped;)r++;return{first:t,last:r}},e.prototype.setupTabStops=function(e){for(null!=e?this.tabs[e]||(e=this.prevStop(e)):(this.tabs={},e=0);e<this._cols;e+=this._optionsService.options.tabStopWidth)this.tabs[e]=!0},e.prototype.prevStop=function(e){for(null==e&&(e=this.x);!this.tabs[--e]&&e>0;);return e>=this._cols?this._cols-1:e<0?0:e},e.prototype.nextStop=function(e){for(null==e&&(e=this.x);!this.tabs[++e]&&e<this._cols;);return e>=this._cols?this._cols-1:e<0?0:e},e.prototype.addMarker=function(e){var t=this,r=new c.Marker(e);return this.markers.push(r),r.register(this.lines.onTrim((function(e){r.line-=e,r.line<0&&r.dispose()}))),r.register(this.lines.onInsert((function(e){r.line>=e.index&&(r.line+=e.amount)}))),r.register(this.lines.onDelete((function(e){r.line>=e.index&&r.line<e.index+e.amount&&r.dispose(),r.line>e.index&&(r.line-=e.amount)}))),r.register(r.onDispose((function(){return t._removeMarker(r)}))),r},e.prototype._removeMarker=function(e){this.markers.splice(this.markers.indexOf(e),1)},e.prototype.iterator=function(e,t,r,i,n){return new f(this,e,t,r,i,n)},e}();t.Buffer=h;var f=function(){function e(e,t,r,i,n,o){void 0===r&&(r=0),void 0===i&&(i=e.lines.length),void 0===n&&(n=0),void 0===o&&(o=0),this._buffer=e,this._trimRight=t,this._startIndex=r,this._endIndex=i,this._startOverscan=n,this._endOverscan=o,this._startIndex<0&&(this._startIndex=0),this._endIndex>this._buffer.lines.length&&(this._endIndex=this._buffer.lines.length),this._current=this._startIndex}return e.prototype.hasNext=function(){return this._current<this._endIndex},e.prototype.next=function(){var e=this._buffer.getWrappedRangeForLine(this._current);e.first<this._startIndex-this._startOverscan&&(e.first=this._startIndex-this._startOverscan),e.last>this._endIndex+this._endOverscan&&(e.last=this._endIndex+this._endOverscan),e.first=Math.max(e.first,0),e.last=Math.min(e.last,this._buffer.lines.length);for(var t="",r=e.first;r<=e.last;++r)t+=this._buffer.translateBufferLineToString(r,this._trimRight);return this._current=e.last+1,{range:e,content:t}},e}();t.BufferStringIterator=f},8437:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.BufferLine=t.DEFAULT_ATTR_DATA=void 0;var i=r(482),n=r(643),o=r(511),s=r(3734);t.DEFAULT_ATTR_DATA=Object.freeze(new s.AttributeData);var a=function(){function e(e,t,r){void 0===r&&(r=!1),this.isWrapped=r,this._combined={},this._extendedAttrs={},this._data=new Uint32Array(3*e);for(var i=t||o.CellData.fromCharData([0,n.NULL_CELL_CHAR,n.NULL_CELL_WIDTH,n.NULL_CELL_CODE]),s=0;s<e;++s)this.setCell(s,i);this.length=e}return e.prototype.get=function(e){var t=this._data[3*e+0],r=2097151&t;return[this._data[3*e+1],2097152&t?this._combined[e]:r?(0,i.stringFromCodePoint)(r):"",t>>22,2097152&t?this._combined[e].charCodeAt(this._combined[e].length-1):r]},e.prototype.set=function(e,t){this._data[3*e+1]=t[n.CHAR_DATA_ATTR_INDEX],t[n.CHAR_DATA_CHAR_INDEX].length>1?(this._combined[e]=t[1],this._data[3*e+0]=2097152|e|t[n.CHAR_DATA_WIDTH_INDEX]<<22):this._data[3*e+0]=t[n.CHAR_DATA_CHAR_INDEX].charCodeAt(0)|t[n.CHAR_DATA_WIDTH_INDEX]<<22},e.prototype.getWidth=function(e){return this._data[3*e+0]>>22},e.prototype.hasWidth=function(e){return 12582912&this._data[3*e+0]},e.prototype.getFg=function(e){return this._data[3*e+1]},e.prototype.getBg=function(e){return this._data[3*e+2]},e.prototype.hasContent=function(e){return 4194303&this._data[3*e+0]},e.prototype.getCodePoint=function(e){var t=this._data[3*e+0];return 2097152&t?this._combined[e].charCodeAt(this._combined[e].length-1):2097151&t},e.prototype.isCombined=function(e){return 2097152&this._data[3*e+0]},e.prototype.getString=function(e){var t=this._data[3*e+0];return 2097152&t?this._combined[e]:2097151&t?(0,i.stringFromCodePoint)(2097151&t):""},e.prototype.loadCell=function(e,t){var r=3*e;return t.content=this._data[r+0],t.fg=this._data[r+1],t.bg=this._data[r+2],2097152&t.content&&(t.combinedData=this._combined[e]),268435456&t.bg&&(t.extended=this._extendedAttrs[e]),t},e.prototype.setCell=function(e,t){2097152&t.content&&(this._combined[e]=t.combinedData),268435456&t.bg&&(this._extendedAttrs[e]=t.extended),this._data[3*e+0]=t.content,this._data[3*e+1]=t.fg,this._data[3*e+2]=t.bg},e.prototype.setCellFromCodePoint=function(e,t,r,i,n,o){268435456&n&&(this._extendedAttrs[e]=o),this._data[3*e+0]=t|r<<22,this._data[3*e+1]=i,this._data[3*e+2]=n},e.prototype.addCodepointToCell=function(e,t){var r=this._data[3*e+0];2097152&r?this._combined[e]+=(0,i.stringFromCodePoint)(t):(2097151&r?(this._combined[e]=(0,i.stringFromCodePoint)(2097151&r)+(0,i.stringFromCodePoint)(t),r&=-2097152,r|=2097152):r=t|1<<22,this._data[3*e+0]=r)},e.prototype.insertCells=function(e,t,r,i){if((e%=this.length)&&2===this.getWidth(e-1)&&this.setCellFromCodePoint(e-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs),t<this.length-e){for(var n=new o.CellData,a=this.length-e-t-1;a>=0;--a)this.setCell(e+t+a,this.loadCell(e+a,n));for(a=0;a<t;++a)this.setCell(e+a,r)}else for(a=e;a<this.length;++a)this.setCell(a,r);2===this.getWidth(this.length-1)&&this.setCellFromCodePoint(this.length-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs)},e.prototype.deleteCells=function(e,t,r,i){if(e%=this.length,t<this.length-e){for(var n=new o.CellData,a=0;a<this.length-e-t;++a)this.setCell(e+a,this.loadCell(e+t+a,n));for(a=this.length-t;a<this.length;++a)this.setCell(a,r)}else for(a=e;a<this.length;++a)this.setCell(a,r);e&&2===this.getWidth(e-1)&&this.setCellFromCodePoint(e-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs),0!==this.getWidth(e)||this.hasContent(e)||this.setCellFromCodePoint(e,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs)},e.prototype.replaceCells=function(e,t,r,i){for(e&&2===this.getWidth(e-1)&&this.setCellFromCodePoint(e-1,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs),t<this.length&&2===this.getWidth(t-1)&&this.setCellFromCodePoint(t,0,1,(null==i?void 0:i.fg)||0,(null==i?void 0:i.bg)||0,(null==i?void 0:i.extended)||new s.ExtendedAttrs);e<t&&e<this.length;)this.setCell(e++,r)},e.prototype.resize=function(e,t){if(e!==this.length){if(e>this.length){var r=new Uint32Array(3*e);this.length&&(3*e<this._data.length?r.set(this._data.subarray(0,3*e)):r.set(this._data)),this._data=r;for(var i=this.length;i<e;++i)this.setCell(i,t)}else if(e){(r=new Uint32Array(3*e)).set(this._data.subarray(0,3*e)),this._data=r;var n=Object.keys(this._combined);for(i=0;i<n.length;i++){var o=parseInt(n[i],10);o>=e&&delete this._combined[o]}}else this._data=new Uint32Array(0),this._combined={};this.length=e}},e.prototype.fill=function(e){this._combined={},this._extendedAttrs={};for(var t=0;t<this.length;++t)this.setCell(t,e)},e.prototype.copyFrom=function(e){for(var t in this.length!==e.length?this._data=new Uint32Array(e._data):this._data.set(e._data),this.length=e.length,this._combined={},e._combined)this._combined[t]=e._combined[t];for(var t in this._extendedAttrs={},e._extendedAttrs)this._extendedAttrs[t]=e._extendedAttrs[t];this.isWrapped=e.isWrapped},e.prototype.clone=function(){var t=new e(0);for(var r in t._data=new Uint32Array(this._data),t.length=this.length,this._combined)t._combined[r]=this._combined[r];for(var r in this._extendedAttrs)t._extendedAttrs[r]=this._extendedAttrs[r];return t.isWrapped=this.isWrapped,t},e.prototype.getTrimmedLength=function(){for(var e=this.length-1;e>=0;--e)if(4194303&this._data[3*e+0])return e+(this._data[3*e+0]>>22);return 0},e.prototype.copyCellsFrom=function(e,t,r,i,n){var o=e._data;if(n)for(var s=i-1;s>=0;s--)for(var a=0;a<3;a++)this._data[3*(r+s)+a]=o[3*(t+s)+a];else for(s=0;s<i;s++)for(a=0;a<3;a++)this._data[3*(r+s)+a]=o[3*(t+s)+a];var c=Object.keys(e._combined);for(a=0;a<c.length;a++){var l=parseInt(c[a],10);l>=t&&(this._combined[l-t+r]=e._combined[l])}},e.prototype.translateToString=function(e,t,r){void 0===e&&(e=!1),void 0===t&&(t=0),void 0===r&&(r=this.length),e&&(r=Math.min(r,this.getTrimmedLength()));for(var o="";t<r;){var s=this._data[3*t+0],a=2097151&s;o+=2097152&s?this._combined[t]:a?(0,i.stringFromCodePoint)(a):n.WHITESPACE_CELL_CHAR,t+=s>>22||1}return o},e}();t.BufferLine=a},4841:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.getRangeLength=void 0,t.getRangeLength=function(e,t){if(e.start.y>e.end.y)throw new Error("Buffer range end ("+e.end.x+", "+e.end.y+") cannot be before start ("+e.start.x+", "+e.start.y+")");return t*(e.end.y-e.start.y)+(e.end.x-e.start.x+1)}},4634:(e,t)=>{function r(e,t,r){if(t===e.length-1)return e[t].getTrimmedLength();var i=!e[t].hasContent(r-1)&&1===e[t].getWidth(r-1),n=2===e[t+1].getWidth(0);return i&&n?r-1:r}Object.defineProperty(t,"__esModule",{value:!0}),t.getWrappedLineTrimmedLength=t.reflowSmallerGetNewLineLengths=t.reflowLargerApplyNewLayout=t.reflowLargerCreateNewLayout=t.reflowLargerGetLinesToRemove=void 0,t.reflowLargerGetLinesToRemove=function(e,t,i,n,o){for(var s=[],a=0;a<e.length-1;a++){var c=a,l=e.get(++c);if(l.isWrapped){for(var u=[e.get(a)];c<e.length&&l.isWrapped;)u.push(l),l=e.get(++c);if(n>=a&&n<c)a+=u.length-1;else{for(var h=0,f=r(u,h,t),_=1,d=0;_<u.length;){var p=r(u,_,t),v=p-d,g=i-f,y=Math.min(v,g);u[h].copyCellsFrom(u[_],d,f,y,!1),(f+=y)===i&&(h++,f=0),(d+=y)===p&&(_++,d=0),0===f&&0!==h&&2===u[h-1].getWidth(i-1)&&(u[h].copyCellsFrom(u[h-1],i-1,f++,1,!1),u[h-1].setCell(i-1,o))}u[h].replaceCells(f,i,o);for(var m=0,b=u.length-1;b>0&&(b>h||0===u[b].getTrimmedLength());b--)m++;m>0&&(s.push(a+u.length-m),s.push(m)),a+=u.length-1}}}return s},t.reflowLargerCreateNewLayout=function(e,t){for(var r=[],i=0,n=t[i],o=0,s=0;s<e.length;s++)if(n===s){var a=t[++i];e.onDeleteEmitter.fire({index:s-o,amount:a}),s+=a-1,o+=a,n=t[++i]}else r.push(s);return{layout:r,countRemoved:o}},t.reflowLargerApplyNewLayout=function(e,t){for(var r=[],i=0;i<t.length;i++)r.push(e.get(t[i]));for(i=0;i<r.length;i++)e.set(i,r[i]);e.length=t.length},t.reflowSmallerGetNewLineLengths=function(e,t,i){for(var n=[],o=e.map((function(i,n){return r(e,n,t)})).reduce((function(e,t){return e+t})),s=0,a=0,c=0;c<o;){if(o-c<i){n.push(o-c);break}s+=i;var l=r(e,a,t);s>l&&(s-=l,a++);var u=2===e[a].getWidth(s-1);u&&s--;var h=u?i-1:i;n.push(h),c+=h}return n},t.getWrappedLineTrimmedLength=r},5295:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.BufferSet=void 0;var o=r(9092),s=r(8460),a=function(e){function t(t,r){var i=e.call(this)||this;return i._optionsService=t,i._bufferService=r,i._onBufferActivate=i.register(new s.EventEmitter),i.reset(),i}return n(t,e),Object.defineProperty(t.prototype,"onBufferActivate",{get:function(){return this._onBufferActivate.event},enumerable:!1,configurable:!0}),t.prototype.reset=function(){this._normal=new o.Buffer(!0,this._optionsService,this._bufferService),this._normal.fillViewportRows(),this._alt=new o.Buffer(!1,this._optionsService,this._bufferService),this._activeBuffer=this._normal,this._onBufferActivate.fire({activeBuffer:this._normal,inactiveBuffer:this._alt}),this.setupTabStops()},Object.defineProperty(t.prototype,"alt",{get:function(){return this._alt},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"active",{get:function(){return this._activeBuffer},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"normal",{get:function(){return this._normal},enumerable:!1,configurable:!0}),t.prototype.activateNormalBuffer=function(){this._activeBuffer!==this._normal&&(this._normal.x=this._alt.x,this._normal.y=this._alt.y,this._alt.clear(),this._activeBuffer=this._normal,this._onBufferActivate.fire({activeBuffer:this._normal,inactiveBuffer:this._alt}))},t.prototype.activateAltBuffer=function(e){this._activeBuffer!==this._alt&&(this._alt.fillViewportRows(e),this._alt.x=this._normal.x,this._alt.y=this._normal.y,this._activeBuffer=this._alt,this._onBufferActivate.fire({activeBuffer:this._alt,inactiveBuffer:this._normal}))},t.prototype.resize=function(e,t){this._normal.resize(e,t),this._alt.resize(e,t)},t.prototype.setupTabStops=function(e){this._normal.setupTabStops(e),this._alt.setupTabStops(e)},t}(r(844).Disposable);t.BufferSet=a},511:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in 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n=e||Date.now();this._writeBuffer.length>this._bufferOffset;){var o=this._writeBuffer[this._bufferOffset],s=this._action(o,t);if(s)return void s.catch((function(e){return r((function(){throw e})),Promise.resolve(!1)})).then((function(e){return Date.now()-n>=12?setTimeout((function(){return i._innerWrite(0,e)})):i._innerWrite(n,e)}));var a=this._callbacks[this._bufferOffset];if(a&&a(),this._bufferOffset++,this._pendingData-=o.length,Date.now()-n>=12)break}this._writeBuffer.length>this._bufferOffset?(this._bufferOffset>50&&(this._writeBuffer=this._writeBuffer.slice(this._bufferOffset),this._callbacks=this._callbacks.slice(this._bufferOffset),this._bufferOffset=0),setTimeout((function(){return i._innerWrite()}))):(this._writeBuffer.length=0,this._callbacks.length=0,this._pendingData=0,this._bufferOffset=0)},e}();t.WriteBuffer=i},5941:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.toRgbString=t.parseColor=void 0;var r=/^([\da-f]{1})\/([\da-f]{1})\/([\da-f]{1})$|^([\da-f]{2})\/([\da-f]{2})\/([\da-f]{2})$|^([\da-f]{3})\/([\da-f]{3})\/([\da-f]{3})$|^([\da-f]{4})\/([\da-f]{4})\/([\da-f]{4})$/,i=/^[\da-f]+$/;function n(e,t){var r=e.toString(16),i=r.length<2?"0"+r:r;switch(t){case 4:return r[0];case 8:return i;case 12:return(i+i).slice(0,3);default:return i+i}}t.parseColor=function(e){if(e){var t=e.toLowerCase();if(0===t.indexOf("rgb:")){t=t.slice(4);var n=r.exec(t);if(n){var o=n[1]?15:n[4]?255:n[7]?4095:65535;return[Math.round(parseInt(n[1]||n[4]||n[7]||n[10],16)/o*255),Math.round(parseInt(n[2]||n[5]||n[8]||n[11],16)/o*255),Math.round(parseInt(n[3]||n[6]||n[9]||n[12],16)/o*255)]}}else if(0===t.indexOf("#")&&(t=t.slice(1),i.exec(t)&&[3,6,9,12].includes(t.length))){for(var s=t.length/3,a=[0,0,0],c=0;c<3;++c){var l=parseInt(t.slice(s*c,s*c+s),16);a[c]=1===s?l<<4:2===s?l:3===s?l>>4:l>>8}return a}}},t.toRgbString=function(e,t){void 0===t&&(t=16);var r=e[0],i=e[1],o=e[2];return"rgb:"+n(r,t)+"/"+n(i,t)+"/"+n(o,t)}},5770:(e,t)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.PAYLOAD_LIMIT=void 0,t.PAYLOAD_LIMIT=1e7},6351:(e,t,r)=>{Object.defineProperty(t,"__esModule",{value:!0}),t.DcsHandler=t.DcsParser=void 0;var i=r(482),n=r(8742),o=r(5770),s=[],a=function(){function e(){this._handlers=Object.create(null),this._active=s,this._ident=0,this._handlerFb=function(){},this._stack={paused:!1,loopPosition:0,fallThrough:!1}}return e.prototype.dispose=function(){this._handlers=Object.create(null),this._handlerFb=function(){},this._active=s},e.prototype.registerHandler=function(e,t){void 0===this._handlers[e]&&(this._handlers[e]=[]);var r=this._handlers[e];return r.push(t),{dispose:function(){var e=r.indexOf(t);-1!==e&&r.splice(e,1)}}},e.prototype.clearHandler=function(e){this._handlers[e]&&delete this._handlers[e]},e.prototype.setHandlerFallback=function(e){this._handlerFb=e},e.prototype.reset=function(){if(this._active.length)for(var e=this._stack.paused?this._stack.loopPosition-1:this._active.length-1;e>=0;--e)this._active[e].unhook(!1);this._stack.paused=!1,this._active=s,this._ident=0},e.prototype.hook=function(e,t){if(this.reset(),this._ident=e,this._active=this._handlers[e]||s,this._active.length)for(var r=this._active.length-1;r>=0;r--)this._active[r].hook(t);else this._handlerFb(this._ident,"HOOK",t)},e.prototype.put=function(e,t,r){if(this._active.length)for(var n=this._active.length-1;n>=0;n--)this._active[n].put(e,t,r);else this._handlerFb(this._ident,"PUT",(0,i.utf32ToString)(e,t,r))},e.prototype.unhook=function(e,t){if(void 0===t&&(t=!0),this._active.length){var r=!1,i=this._active.length-1,n=!1;if(this._stack.paused&&(i=this._stack.loopPosition-1,r=t,n=this._stack.fallThrough,this._stack.paused=!1),!n&&!1===r){for(;i>=0&&!0!==(r=this._active[i].unhook(e));i--)if(r instanceof Promise)return 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this._params=c,this._data="",this._hitLimit=!1,r},e}();t.DcsHandler=l},2015:function(e,t,r){var i,n=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if("function"!=typeof t&&null!==t)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});Object.defineProperty(t,"__esModule",{value:!0}),t.EscapeSequenceParser=t.VT500_TRANSITION_TABLE=t.TransitionTable=void 0;var o=r(844),s=r(8273),a=r(8742),c=r(6242),l=r(6351),u=function(){function e(e){this.table=new Uint8Array(e)}return e.prototype.setDefault=function(e,t){(0,s.fill)(this.table,e<<4|t)},e.prototype.add=function(e,t,r,i){this.table[t<<8|e]=r<<4|i},e.prototype.addMany=function(e,t,r,i){for(var n=0;n<e.length;n++)this.table[t<<8|e[n]]=r<<4|i},e}();t.TransitionTable=u;var h=160;t.VT500_TRANSITION_TABLE=function(){var e=new u(4095),t=Array.apply(null,Array(256)).map((function(e,t){return t})),r=function(e,r){return t.slice(e,r)},i=r(32,127),n=r(0,24);n.push(25),n.push.apply(n,r(28,32));var o,s=r(0,14);for(o in e.setDefault(1,0),e.addMany(i,0,2,0),s)e.addMany([24,26,153,154],o,3,0),e.addMany(r(128,144),o,3,0),e.addMany(r(144,152),o,3,0),e.add(156,o,0,0),e.add(27,o,11,1),e.add(157,o,4,8),e.addMany([152,158,159],o,0,7),e.add(155,o,11,3),e.add(144,o,11,9);return e.addMany(n,0,3,0),e.addMany(n,1,3,1),e.add(127,1,0,1),e.addMany(n,8,0,8),e.addMany(n,3,3,3),e.add(127,3,0,3),e.addMany(n,4,3,4),e.add(127,4,0,4),e.addMany(n,6,3,6),e.addMany(n,5,3,5),e.add(127,5,0,5),e.addMany(n,2,3,2),e.add(127,2,0,2),e.add(93,1,4,8),e.addMany(i,8,5,8),e.add(127,8,5,8),e.addMany([156,27,24,26,7],8,6,0),e.addMany(r(28,32),8,0,8),e.addMany([88,94,95],1,0,7),e.addMany(i,7,0,7),e.addMany(n,7,0,7),e.add(156,7,0,0),e.add(127,7,0,7),e.add(91,1,11,3),e.addMany(r(64,127),3,7,0),e.addMany(r(48,60),3,8,4),e.addMany([60,61,62,63],3,9,4),e.addMany(r(48,60),4,8,4),e.addMany(r(64,127),4,7,0),e.addMany([60,61,62,63],4,0,6),e.addMany(r(32,64),6,0,6),e.add(127,6,0,6),e.addMany(r(64,127),6,0,0),e.addMany(r(32,48),3,9,5),e.addMany(r(32,48),5,9,5),e.addMany(r(48,64),5,0,6),e.addMany(r(64,127),5,7,0),e.addMany(r(32,48),4,9,5),e.addMany(r(32,48),1,9,2),e.addMany(r(32,48),2,9,2),e.addMany(r(48,127),2,10,0),e.addMany(r(48,80),1,10,0),e.addMany(r(81,88),1,10,0),e.addMany([89,90,92],1,10,0),e.addMany(r(96,127),1,10,0),e.add(80,1,11,9),e.addMany(n,9,0,9),e.add(127,9,0,9),e.addMany(r(28,32),9,0,9),e.addMany(r(32,48),9,9,12),e.addMany(r(48,60),9,8,10),e.addMany([60,61,62,63],9,9,10),e.addMany(n,11,0,11),e.addMany(r(32,128),11,0,11),e.addMany(r(28,32),11,0,11),e.addMany(n,10,0,10),e.add(127,10,0,10),e.addMany(r(28,32),10,0,10),e.addMany(r(48,60),10,8,10),e.addMany([60,61,62,63],10,0,11),e.addMany(r(32,48),10,9,12),e.addMany(n,12,0,12),e.add(127,12,0,12),e.addMany(r(28,32),12,0,12),e.addMany(r(32,48),12,9,12),e.addMany(r(48,64),12,0,11),e.addMany(r(64,127),12,12,13),e.addMany(r(64,127),10,12,13),e.addMany(r(64,127),9,12,13),e.addMany(n,13,13,13),e.addMany(i,13,13,13),e.add(127,13,0,13),e.addMany([27,156,24,26],13,14,0),e.add(h,0,2,0),e.add(h,8,5,8),e.add(h,6,0,6),e.add(h,11,0,11),e.add(h,13,13,13),e}();var f=function(e){function r(r){void 0===r&&(r=t.VT500_TRANSITION_TABLE);var i=e.call(this)||this;return i._transitions=r,i._parseStack={state:0,handlers:[],handlerPos:0,transition:0,chunkPos:0},i.initialState=0,i.currentState=i.initialState,i._params=new a.Params,i._params.addParam(0),i._collect=0,i.precedingCodepoint=0,i._printHandlerFb=function(e,t,r){},i._executeHandlerFb=function(e){},i._csiHandlerFb=function(e,t){},i._escHandlerFb=function(e){},i._errorHandlerFb=function(e){return e},i._printHandler=i._printHandlerFb,i._executeHandlers=Object.create(null),i._csiHandlers=Object.create(null),i._escHandlers=Object.create(null),i._oscParser=new c.OscParser,i._dcsParser=new l.DcsParser,i._errorHandler=i._errorHandlerFb,i.registerEscHandler({final:"\\"},(function(){return!0})),i}return n(r,e),r.prototype._identifier=function(e,t){void 0===t&&(t=[64,126]);var r=0;if(e.prefix){if(e.prefix.length>1)throw new Error("only one byte as prefix supported");if((r=e.prefix.charCodeAt(0))&&60>r||r>63)throw new Error("prefix must be in range 0x3c .. 0x3f")}if(e.intermediates){if(e.intermediates.length>2)throw new Error("only two bytes as intermediates are supported");for(var i=0;i<e.intermediates.length;++i){var n=e.intermediates.charCodeAt(i);if(32>n||n>47)throw new Error("intermediate must be in range 0x20 .. 0x2f");r<<=8,r|=n}}if(1!==e.final.length)throw new Error("final must be a single byte");var o=e.final.charCodeAt(0);if(t[0]>o||o>t[1])throw new Error("final must be in range "+t[0]+" .. "+t[1]);return(r<<=8)|o},r.prototype.identToString=function(e){for(var t=[];e;)t.push(String.fromCharCode(255&e)),e>>=8;return t.reverse().join("")},r.prototype.dispose=function(){this._csiHandlers=Object.create(null),this._executeHandlers=Object.create(null),this._escHandlers=Object.create(null),this._oscParser.dispose(),this._dcsParser.dispose()},r.prototype.setPrintHandler=function(e){this._printHandler=e},r.prototype.clearPrintHandler=function(){this._printHandler=this._printHandlerFb},r.prototype.registerEscHandler=function(e,t){var r=this._identifier(e,[48,126]);void 0===this._escHandlers[r]&&(this._escHandlers[r]=[]);var i=this._escHandlers[r];return i.push(t),{dispose:function(){var e=i.indexOf(t);-1!==e&&i.splice(e,1)}}},r.prototype.clearEscHandler=function(e){this._escHandlers[this._identifier(e,[48,126])]&&delete this._escHandlers[this._identifier(e,[48,126])]},r.prototype.setEscHandlerFallback=function(e){this._escHandlerFb=e},r.prototype.setExecuteHandler=function(e,t){this._executeHandlers[e.charCodeAt(0)]=t},r.prototype.clearExecuteHandler=function(e){this._executeHandlers[e.charCodeAt(0)]&&delete this._executeHandlers[e.charCodeAt(0)]},r.prototype.setExecuteHandlerFallback=function(e){this._executeHandlerFb=e},r.prototype.registerCsiHandler=function(e,t){var r=this._identifier(e);void 0===this._csiHandlers[r]&&(this._csiHandlers[r]=[]);var i=this._csiHandlers[r];return i.push(t),{dispose:function(){var e=i.indexOf(t);-1!==e&&i.splice(e,1)}}},r.prototype.clearCsiHandler=function(e){this._csiHandlers[this._identifier(e)]&&delete this._csiHandlers[this._identifier(e)]},r.prototype.setCsiHandlerFallback=function(e){this._csiHandlerFb=e},r.prototype.registerDcsHandler=function(e,t){return this._dcsParser.registerHandler(this._identifier(e),t)},r.prototype.clearDcsHandler=function(e){this._dcsParser.clearHandler(this._identifier(e))},r.prototype.setDcsHandlerFallback=function(e){this._dcsParser.setHandlerFallback(e)},r.prototype.registerOscHandler=function(e,t){return this._oscParser.registerHandler(e,t)},r.prototype.clearOscHandler=function(e){this._oscParser.clearHandler(e)},r.prototype.setOscHandlerFallback=function(e){this._oscParser.setHandlerFallback(e)},r.prototype.setErrorHandler=function(e){this._errorHandler=e},r.prototype.clearErrorHandler=function(){this._errorHandler=this._errorHandlerFb},r.prototype.reset=function(){this.currentState=this.initialState,this._oscParser.reset(),this._dcsParser.reset(),this._params.reset(),this._params.addParam(0),this._collect=0,this.precedingCodepoint=0,0!==this._parseStack.state&&(this._parseStack.state=2,this._parseStack.handlers=[])},r.prototype._preserveStack=function(e,t,r,i,n){this._parseStack.state=e,this._parseStack.handlers=t,this._parseStack.handlerPos=r,this._parseStack.transition=i,this._parseStack.chunkPos=n},r.prototype.parse=function(e,t,r){var i,n=0,o=0,s=0;if(this._parseStack.state)if(2===this._parseStack.state)this._parseStack.state=0,s=this._parseStack.chunkPos+1;else{if(void 0===r||1===this._parseStack.state)throw this._parseStack.state=1,new Error("improper continuation due to previous async handler, giving up parsing");var a=this._parseStack.handlers,c=this._parseStack.handlerPos-1;switch(this._parseStack.state){case 3:if(!1===r&&c>-1)for(;c>=0&&!0!==(i=a[c](this._params));c--)if(i instanceof Promise)return this._parseStack.handlerPos=c,i;this._parseStack.handlers=[];break;case 4:if(!1===r&&c>-1)for(;c>=0&&!0!==(i=a[c]());c--)if(i instanceof Promise)return this._parseStack.handlerPos=c,i;this._parseStack.handlers=[];break;case 6:if(n=e[this._parseStack.chunkPos],i=this._dcsParser.unhook(24!==n&&26!==n,r))return i;27===n&&(this._parseStack.transition|=1),this._params.reset(),this._params.addParam(0),this._collect=0;break;case 5:if(n=e[this._parseStack.chunkPos],i=this._oscParser.end(24!==n&&26!==n,r))return i;27===n&&(this._parseStack.transition|=1),this._params.reset(),this._params.addParam(0),this._collect=0}this._parseStack.state=0,s=this._parseStack.chunkPos+1,this.precedingCodepoint=0,this.currentState=15&this._parseStack.transition}for(var l=s;l<t;++l){switch(n=e[l],(o=this._transitions.table[this.currentState<<8|(n<160?n:h)])>>4){case 2:for(var u=l+1;;++u){if(u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}if(++u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}if(++u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}if(++u>=t||(n=e[u])<32||n>126&&n<h){this._printHandler(e,l,u),l=u-1;break}}break;case 3:this._executeHandlers[n]?this._executeHandlers[n]():this._executeHandlerFb(n),this.precedingCodepoint=0;break;case 0:break;case 1:if(this._errorHandler({position:l,code:n,currentState:this.currentState,collect:this._collect,params:this._params,abort:!1}).abort)return;break;case 7:for(var f=(a=this._csiHandlers[this._collect<<8|n])?a.length-1:-1;f>=0&&!0!==(i=a[f](this._params));f--)if(i instanceof Promise)return this._preserveStack(3,a,f,o,l),i;f<0&&this._csiHandlerFb(this._collect<<8|n,this._params),this.precedingCodepoint=0;break;case 8:do{switch(n){case 59:this._params.addParam(0);break;case 58:this._params.addSubParam(-1);break;default:this._params.addDigit(n-48)}}while(++l<t&&(n=e[l])>47&&n<60);l--;break;case 9:this._collect<<=8,this._collect|=n;break;case 10:for(var _=this._escHandlers[this._collect<<8|n],d=_?_.length-1:-1;d>=0&&!0!==(i=_[d]());d--)if(i instanceof Promise)return this._preserveStack(4,_,d,o,l),i;d<0&&this._escHandlerFb(this._collect<<8|n),this.precedingCodepoint=0;break;case 11:this._params.reset(),this._params.addParam(0),this._collect=0;break;case 12:this._dcsParser.hook(this._collect<<8|n,this._params);break;case 13:for(var p=l+1;;++p)if(p>=t||24===(n=e[p])||26===n||27===n||n>127&&n<h){this._dcsParser.put(e,l,p),l=p-1;break}break;case 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(async () => {\n const url = new URL(await google.colab.kernel.proxyPort(10000, {'cache': true}));\n const iframe = document.createElement('iframe');\n iframe.src = url;\n iframe.setAttribute('width', '100%');\n iframe.setAttribute('height', '800');\n iframe.setAttribute('frameborder', 0);\n document.body.appendChild(iframe);\n })();\n ", "text/plain": [ "" - ], - "application/javascript": [ - "\n", - " (async () => {\n", - " const url = new URL(await google.colab.kernel.proxyPort(10000, {'cache': true}));\n", - " const iframe = document.createElement('iframe');\n", - " iframe.src = url;\n", - " iframe.setAttribute('width', '100%');\n", - " iframe.setAttribute('height', '800');\n", - " iframe.setAttribute('frameborder', 0);\n", - " document.body.appendChild(iframe);\n", - " })();\n", - " " ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "%xterm" ] }, { "cell_type": "markdown", - "source": [ - "check if the finetuned model is running on ollama server successfully" - ], "metadata": { "id": "-V6LC4vevKDb" - } + }, + "source": [ + "check if the finetuned model is running on ollama server successfully" + ] }, { "cell_type": "code", - "source": [ - "!ollama ps" - ], + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -5707,80 +5679,58 @@ "id": "S6Ep70IZvOwW", "outputId": "555a2f11-dfd1-49be-cfa4-281ceca2aaf5" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "NAME ID SIZE PROCESSOR UNTIL \n", "llama_3_2_finetuned:latest a73e7ad20955 4.0 GB 100% GPU 2 hours from now \n" ] } + ], + "source": [ + "!ollama ps" ] }, { "cell_type": "markdown", - "source": [ - "#### 3.1. Register the new model" - ], "metadata": { "id": "RbzBMdPFvRl-" - } + }, + "source": [ + "#### 3.1. Register the new model" + ] }, { "cell_type": "code", - "source": [ - "response = client.models.register(\n", - " # the model id here needs to be the finetuned checkpoint identifier\n", - " model_id=\"meta-llama/Llama-3.2-3B-Instruct-sft-0\",\n", - " provider_id=\"ollama\",\n", - " provider_model_id=\"llama_3_2_finetuned:latest\",\n", - " # base model id\n", - " metadata={\"llama_model\": \"meta-llama/Llama-3.2-3B-Instruct\"},\n", - ")\n", - "\n", - "pprint(response)" - ], + "execution_count": null, "metadata": { - "id": "M-HvLisYD3VR", "colab": { "base_uri": "https://localhost:8080/", "height": 200 }, - "outputId": "fb1a2b79-d34d-4359-a879-c6e7b4d1ad27", - "collapsed": true + "collapsed": true, + "id": "M-HvLisYD3VR", + "outputId": "fb1a2b79-d34d-4359-a879-c6e7b4d1ad27" }, - "execution_count": null, "outputs": [ { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: GET http://localhost:11434/api/ps \"HTTP/1.1 200 OK\"\n" ] }, { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[2m00:53:05.319\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/models\u001b[0m\n" ] }, { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1;35mModel\u001b[0m\u001b[1m(\u001b[0m\n", - "\u001b[2;32m│ \u001b[0m\u001b[33midentifier\u001b[0m=\u001b[32m'meta-llama/Llama-3.2-3B-Instruct-sft-0'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mmetadata\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'llama_model'\u001b[0m: \u001b[32m'meta-llama/Llama-3.2-3B-Instruct'\u001b[0m\u001b[1m}\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mapi_model_type\u001b[0m=\u001b[32m'llm'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_id\u001b[0m=\u001b[32m'ollama'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_resource_id\u001b[0m=\u001b[32m'llama_3_2_finetuned:latest'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mtype\u001b[0m=\u001b[32m'model'\u001b[0m,\n", - "\u001b[2;32m│ \u001b[0m\u001b[33mmodel_type\u001b[0m=\u001b[32m'llm'\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ], "text/html": [ "
Model(\n",
               "│   identifier='meta-llama/Llama-3.2-3B-Instruct-sft-0',\n",
@@ -5792,23 +5742,79 @@
               "│   model_type='llm'\n",
               ")\n",
               "
\n" + ], + "text/plain": [ + "\u001b[1;35mModel\u001b[0m\u001b[1m(\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[33midentifier\u001b[0m=\u001b[32m'meta-llama/Llama-3.2-3B-Instruct-sft-0'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mmetadata\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'llama_model'\u001b[0m: \u001b[32m'meta-llama/Llama-3.2-3B-Instruct'\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mapi_model_type\u001b[0m=\u001b[32m'llm'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_id\u001b[0m=\u001b[32m'ollama'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mprovider_resource_id\u001b[0m=\u001b[32m'llama_3_2_finetuned:latest'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mtype\u001b[0m=\u001b[32m'model'\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mmodel_type\u001b[0m=\u001b[32m'llm'\u001b[0m\n", + "\u001b[1m)\u001b[0m\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "response = client.models.register(\n", + " # the model id here needs to be the finetuned checkpoint identifier\n", + " model_id=\"meta-llama/Llama-3.2-3B-Instruct-sft-0\",\n", + " provider_id=\"ollama\",\n", + " provider_model_id=\"llama_3_2_finetuned:latest\",\n", + " # base model id\n", + " metadata={\"llama_model\": \"meta-llama/Llama-3.2-3B-Instruct\"},\n", + ")\n", + "\n", + "pprint(response)" ] }, { "cell_type": "markdown", - "source": [ - "#### 3.2 Call the Llama stack [inference APIs](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/apis/inference/inference.py) to run inference" - ], "metadata": { "id": "Xz4sftAXEPQh" - } + }, + "source": [ + "#### 3.2 Call the Llama stack [inference APIs](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/apis/inference/inference.py) to run inference" + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "fPSVBqfZEVr5", + "outputId": "bdf2526b-9b02-4e58-a905-42bad8c501ae" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2m00:53:56.013\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/inference/chat-completion\u001b[0m\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST http://localhost:11434/api/generate \"HTTP/1.1 200 OK\"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "To report an employee's income and taxes withheld. My explanation: The W-2 form is used by employers to report an employee's income, taxes withheld, and other relevant information to the IRS.\n" + ] + } + ], "source": [ "response = client.inference.chat_completion(\n", " model_id=\"meta-llama/Llama-3.2-3B-Instruct-sft-0\",\n", @@ -5818,51 +5824,19 @@ ")\n", "\n", "print(response.completion_message.content)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "fPSVBqfZEVr5", - "outputId": "bdf2526b-9b02-4e58-a905-42bad8c501ae", - "collapsed": true - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\u001b[2m00:53:56.013\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/inference/chat-completion\u001b[0m\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "INFO:httpx:HTTP Request: POST http://localhost:11434/api/generate \"HTTP/1.1 200 OK\"\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "To report an employee's income and taxes withheld. My explanation: The W-2 form is used by employers to report an employee's income, taxes withheld, and other relevant information to the IRS.\n" - ] - } ] }, { "cell_type": "markdown", + "metadata": { + "id": "yNwT7w3yM1y9" + }, "source": [ "# 4. Run evaluation on the finetuned checkpoints\n", "The finetuned checkpoint is naturally compatiable with Llama stack [eval APIs](https://github.com/meta-llama/llama-stack/blob/main/llama_stack/apis/eval/eval.py).\n", "\n", "Let's ru-run the evaluate sub-steps in step 1 to see if the post training gives us some meaningful improvments." - ], - "metadata": { - "id": "yNwT7w3yM1y9" - } + ] }, { "cell_type": "code", @@ -5872,14 +5846,14 @@ "base_uri": "https://localhost:8080/", "height": 1000 }, + "collapsed": true, "id": "I5SJ9P9f08lm", - "outputId": "b52dbec3-3635-435d-a17a-84386494cbfb", - "collapsed": true + "outputId": "b52dbec3-3635-435d-a17a-84386494cbfb" }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[2m00:55:41.833\u001b[0m \u001b[35m[START]\u001b[0m \u001b[2m/v1/datasetio/rows\u001b[0m\n", "\u001b[2m00:55:41.833\u001b[0m \u001b[35m[END]\u001b[0m \u001b[2m/v1/datasetio/rows\u001b[0m\u001b[0m [StatusCode.OK]\u001b[0m (0.21ms)\n", @@ -5889,8 +5863,8 @@ ] }, { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ " 0%| | 0/43 [00:00EvaluateResponse(\n", "│ generations=[\n", @@ -6353,16 +6141,202 @@ "│ }\n", ")\n", "\n" + ], + "text/plain": [ + "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mgenerations\u001b[0m=\u001b[1m[\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"To report an employee's income and taxes withheld.. My explanation: A W-2 form is used by employers to report an employee's income and taxes withheld, which are then reported on the employee's tax return.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'W-2 income is subject to federal and state income taxes, as well as other taxes such as Social Security and Medicare taxes.. My explanation: W-2 income is subject to various taxes, including federal and state income taxes, as well as Social Security and Medicare taxes.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, W-2 income can be adjusted for tax purposes through various means, such as filing an amended return or claiming a refund.. My explanation: W-2 income can be adjusted for tax purposes through various means, such as filing an amended return or claiming a refund.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Through the Social Security Administration and the Department of Veterans Affairs.. My explanation: The IRS verifies W-2 income through the Social Security Administration and the Department of Veterans Affairs, which can provide information on an individual's earnings history.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'W-2 income is reduced by pre-tax deductions, such as health insurance premiums and retirement contributions.. My explanation: Pre-tax deductions reduce W-2 income, which can impact tax liability and benefits eligibility.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, if an employee has multiple jobs or is self-employed.. My explanation: If an individual has multiple jobs or is self-employed, they may have multiple W-2 forms to report their income and taxes withheld.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Tax credits can reduce W-2 income, which in turn reduces taxable income.. My explanation: Tax credits can reduce W-2 income, which in turn reduces taxable income and lowers the amount of taxes owed.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'W-2 income can trigger AMT if it exceeds certain thresholds.. My explanation: W-2 income can trigger the Alternative Minimum Tax \u001b[0m\u001b[32m(\u001b[0m\u001b[32mAMT\u001b[0m\u001b[32m)\u001b[0m\u001b[32m if it exceeds certain thresholds, which can result in additional tax liability.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The TCJA reduced the top marginal tax rate from 39.6% to 37%. My explanation: The TCJA made significant changes to the tax code, including reducing the top marginal tax rate from 39.6% to 37%, which affects W-2 income.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'W-2 income is subject to NIIT, which can increase the overall tax liability.. My explanation: W-2 income is subject to NIIT, which can increase the overall tax liability.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The ACA requires employers to provide health insurance coverage to employees, which can impact W-2 income.. My explanation: The ACA has changed the way employers report W-2 income, as they must now include information about health insurance coverage.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Self-Employment Tax is calculated based on net earnings from self-employment, which includes W-2 income.. My explanation: Self-Employment Tax is calculated based on net earnings from self-employment, which includes W-2 income.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'It is excluded from US taxable income, but may be subject to withholding and reporting requirements.. My explanation: The Foreign Earned Income Exclusion allows certain foreign earned income to be excluded from US taxable income. However, it may still be subject to withholding and reporting requirements.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Self-employment income, rent, and royalty income.. My explanation: Self-employment income, rent, and royalty income are typically reported on a 1099-MISC form.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Payers who have paid $600 or more in nonemployee compensation to an individual or entity.. My explanation: Payers must issue a 1099-MISC form to independent contractors if they pay $600 or more in nonemployee compensation.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'On Schedule C, which is attached to Form 1040.. My explanation: Self-employed individuals report their business expenses on Schedule C, which is attached to Form 1040. This schedule allows them to deduct business expenses and calculate their net profit or loss from self-employment.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'15.3% of net earnings from self-employment.. My explanation: The self-employment tax rate is 12.4% for Social Security and 2.9% for Medicare, for a total of 15.3%.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'By using Schedule C and calculating net earnings from self-employment. My explanation: Self-employed individuals calculate their self-employment tax by using Schedule C to determine their net earnings from self-employment, which is then used to calculate the self-employment tax liability.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only 30% of the total expenses.. My explanation: Self-employed individuals can deduct business expenses related to their home office, but only up to 30% of the total expenses.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'By using Form 8829 and calculating the business use percentage based on the square footage used for business vs. personal use.. My explanation: Self-employed individuals can calculate the business use percentage of their home by using Form 8829, which requires them to calculate the business use percentage based on the square footage used for business vs. personal use.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The Tax Cuts and Jobs Act \u001b[0m\u001b[32m(\u001b[0m\u001b[32mTCJA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m limited the home office deduction to $5,000 per year for self-employed individuals and sole proprietors.. My explanation: The TCJA reduced the standard mileage rate from 58 cents to 58 cents per mile.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only 50% of the cost.. My explanation: Self-employed individuals can deduct 50% of the cost of business meals on their tax return, subject to certain limits and requirements.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"On Schedule K-1. My explanation: Self-employed individuals report 1099 income from a partnership on Schedule K-1, which is used to report the partner's share of the partnership's income and expenses.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The IRS may impose penalties and interest on unreported income.. My explanation: The IRS may impose penalties and interest on unreported income, including 1099 income, if it is not reported on a tax return.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only 15.3% of net earnings from self-employment.. My explanation: Self-employed individuals can deduct half of their self-employment tax as an adjustment to income.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'They must file an amended return and provide documentation to support their income. My explanation: Self-employed individuals who receive a missing or incorrect 1099 form must file an amended return and provide documentation to support their income, such as bank records or other evidence of income.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only within three years of filing their original return.. My explanation: Self-employed individuals can amend their tax return if they receive a corrected 1099 form, but they must do so within three years of filing their original return.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'January 31st of each year. My explanation: The IRS requires that employers provide employees with a 1099 form by January 31st of each year, showing the amount of money earned and taxes withheld.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'On Schedule C, Form 1040. My explanation: Self-employed individuals report 1099 income on Schedule C, which is used to calculate net earnings from self-employment and deduct business expenses.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only for business-related expenses. My explanation: Self-employed individuals can deduct business expenses related to their business on Schedule C, but not personal expenses.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Using Schedule SE. My explanation: Self-employed individuals use Schedule SE to calculate their self-employment tax, which is used to fund Social Security and Medicare.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Self-employment income, including net earnings from self-employment.. My explanation: Self-employment income includes net earnings from self-employment, which can include income from a business or freelance work.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'On Schedule C, Form 1040. My explanation: Self-employed individuals report their business income and expenses on Schedule C, which is attached to Form 1040.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'15.3% of net earnings from self-employment.. My explanation: The self-employment tax rate is 12.4% for Social Security and 2.9% for Medicare, for a total of 15.3%.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only 30% of the expenses.. My explanation: Self-employed individuals can deduct business use of their home as a business expense, but only 30% of the expenses are deductible.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'By subtracting business expenses and other deductions from gross income.. My explanation: Self-employed individuals must calculate their net earnings from self-employment by subtracting business expenses and other deductions from gross income.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Yes, but only if they are not covered by their spouse's plan.. My explanation: Self-employed individuals can deduct health insurance premiums as a business expense, but only if they are not covered by their spouse's plan.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"A single-member LLC is taxed as a pass-through entity, while a sole proprietorship is not. My explanation: A single-member LLC is taxed as a pass-through entity, meaning that the business income is only reported on the owner's personal tax return, while a sole proprietorship is subject to self-employment taxes and is reported on the owner's personal tax return.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"On Schedule C, Form 1040. My explanation: Self-employed individuals who are partners in a business must report their share of the partnership's income on Schedule C, which is attached to Form 1040.\"\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only if they are made to a SEP-IRA or other qualified retirement plans.. My explanation: Self-employed individuals can deduct retirement plan contributions as a business expense, but only if they are made to a SEP-IRA or other qualified retirement plans.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'By using Schedule C and calculating the net profit or loss from business activities. My explanation: Self-employed individuals can use Schedule C to calculate their net profit or loss from business activities, which is then used to determine self-employment tax liability.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Yes, but only if they meet certain requirements.. My explanation: Self-employed individuals can deduct business expenses related to the production of income that is exempt from self-employment tax, such as income from a rental property or a partnership. However, these expenses must be ordinary and necessary for the production of the income.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'On Schedule C, with the non-self-employment income reported on Form 1040. My explanation: Self-employed individuals must report all income from their business, including income that is exempt from self-employment tax, on Schedule C and then report it on Form 1040.'\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[1m]\u001b[0m,\n", + "\u001b[2;32m│ \u001b[0m\u001b[33mscores\u001b[0m=\u001b[1m{\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[32m'braintrust::answer-similarity'\u001b[0m: \u001b[1;35mScoringResult\u001b[0m\u001b[1m(\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[33maggregated_results\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'average'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'average'\u001b[0m: \u001b[1;36m0.5802955570078431\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[33mscore_rows\u001b[0m=\u001b[1m[\u001b[0m\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6565447051087072\u001b[0m, 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\u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.7689447680897838\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.7324857089526651\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.7503574047565974\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6501787694446832\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5967525606780247\u001b[0m, \u001b[32m'metadata'\u001b[0m: 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\u001b[1;36m0.5009250423255521\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.654372745652473\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.4049431408069166\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5120535121791207\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5796474371127261\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.531959990822166\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5838211393592547\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.7210106827316267\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6475723780816662\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5347988578097088\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6956716509909102\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5482922570324981\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.563191715384755\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.4153433637836649\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6473572616262823\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6287912046599122\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.3535854496760741\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6994224687039214\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6851640716483164\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6506213667228251\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.22177374319292117\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.22375849317599947\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5513696068095729\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6748749489066432\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.49861799411654095\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.4505224368297718\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.37972468499212686\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.6184272480032537\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n", + "\u001b[2;32m│ │ │ │ \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[1;36m0.5461318429817944\u001b[0m, \u001b[32m'metadata'\u001b[0m: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[2;32m│ │ │ \u001b[0m\u001b[1m]\u001b[0m\n", + "\u001b[2;32m│ │ \u001b[0m\u001b[1m)\u001b[0m\n", + "\u001b[2;32m│ \u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[1m)\u001b[0m\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ "# We limit to 50 rows from the dataset to save time\n", "eval_rows = client.datasetio.get_rows_paginated(\n", " dataset_id=\"eval_dataset\",\n", - " rows_in_page=-1,\n", + " limit=-1,\n", ")\n", "\n", "from tqdm import tqdm\n", @@ -6381,7 +6355,7 @@ "\n", "response = client.eval.evaluate_rows(\n", " benchmark_id=\"Llama-3.2-3B-Instruct-sft-0:tax_eval\",\n", - " input_rows=eval_rows.rows,\n", + " input_rows=eval_rows.data,\n", " scoring_functions=[\"braintrust::answer-similarity\"],\n", " benchmark_config={\n", " \"type\": \"benchmark\",\n", @@ -6403,6 +6377,9 @@ }, { "cell_type": "markdown", + "metadata": { + "id": "XlPDvNdLWc83" + }, "source": [ "Wow, you see? we are able to improve the eval score from 0.4899 to 0.5803 (**18.5% improvement**) with a ~1000 samples dataset and a few mintutes training on a single GPU!\n", "\n", @@ -6410,18 +6387,15 @@ "It's just a start. There are several tricks on parameters tuning, training dataset processing etc. to further boost the finetune performance for you to explore.\n", "\n", "Now, it's time to enhance your own agentic application with post training. Happy tuning!" - ], - "metadata": { - "id": "XlPDvNdLWc83" - } + ] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "A100", - "provenance": [], - "machine_shape": "hm" + "machine_shape": "hm", + "provenance": [] }, "kernelspec": { "display_name": "Python 3", diff --git a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb index ace9fb4c1..2102eec0d 100644 --- a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb +++ b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb @@ -84,16 +84,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Not in Google Colab environment\n", - "\u001b[33mWarning: `bwrap` is not available. Code interpreter tool will not work correctly.\u001b[0m\n" + "Not in Google Colab environment\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/opt/anaconda3/envs/master/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" + "Warning: `bwrap` is not available. Code interpreter tool will not work correctly.\n" ] }, { @@ -117,76 +115,146 @@ "- datasetio\n", "- eval\n", "- inference\n", - "- memory\n", "- safety\n", "- scoring\n", "- telemetry\n", "- tool_runtime\n", - "datasets: []\n", - "container_image: null\n", + "- vector_io\n", "benchmarks: []\n", + "container_image: null\n", + "datasets: []\n", "image_name: together\n", - "memory_banks: []\n", + "logging: null\n", "metadata_store:\n", " db_path: /Users/xiyan/.llama/distributions/together/registry.db\n", " namespace: null\n", " type: sqlite\n", "models:\n", "- metadata: {}\n", + " model_id: meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-3.1-8B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo\n", "- metadata: {}\n", + " model_id: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-3.1-70B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo\n", "- metadata: {}\n", + " model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-3.1-405B-Instruct-FP8\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo\n", "- metadata: {}\n", + " model_id: meta-llama/Llama-3.2-3B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-3.2-3B-Instruct-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-3.2-3B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-3.2-3B-Instruct-Turbo\n", "- metadata: {}\n", + " model_id: meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-3.2-11B-Vision-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo\n", "- metadata: {}\n", + " model_id: meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-3.2-90B-Vision-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo\n", "- metadata: {}\n", + " model_id: meta-llama/Llama-3.3-70B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-3.3-70B-Instruct-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-3.3-70B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-3.3-70B-Instruct-Turbo\n", "- metadata: {}\n", + " model_id: meta-llama/Meta-Llama-Guard-3-8B\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-Guard-3-8B\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-Guard-3-8B\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-Guard-3-8B\n", "- metadata: {}\n", + " model_id: meta-llama/Llama-Guard-3-11B-Vision-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-Guard-3-11B-Vision-Turbo\n", + "- metadata: {}\n", " model_id: meta-llama/Llama-Guard-3-11B-Vision\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-Guard-3-11B-Vision-Turbo\n", "- metadata:\n", + " context_length: 8192\n", + " embedding_dimension: 768\n", + " model_id: togethercomputer/m2-bert-80M-8k-retrieval\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - embedding\n", + " provider_id: together\n", + " provider_model_id: togethercomputer/m2-bert-80M-8k-retrieval\n", + "- metadata:\n", + " context_length: 32768\n", + " embedding_dimension: 768\n", + " model_id: togethercomputer/m2-bert-80M-32k-retrieval\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - embedding\n", + " provider_id: together\n", + " provider_model_id: togethercomputer/m2-bert-80M-32k-retrieval\n", + "- metadata:\n", " embedding_dimension: 384\n", " model_id: all-MiniLM-L6-v2\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", @@ -203,14 +271,26 @@ " provider_id: meta-reference\n", " provider_type: inline::meta-reference\n", " datasetio:\n", - " - config: {}\n", + " - config:\n", + " kvstore:\n", + " db_path: /Users/xiyan/.llama/distributions/together/huggingface_datasetio.db\n", + " namespace: null\n", + " type: sqlite\n", " provider_id: huggingface\n", " provider_type: remote::huggingface\n", - " - config: {}\n", + " - config:\n", + " kvstore:\n", + " db_path: /Users/xiyan/.llama/distributions/together/localfs_datasetio.db\n", + " namespace: null\n", + " type: sqlite\n", " provider_id: localfs\n", " provider_type: inline::localfs\n", " eval:\n", - " - config: {}\n", + " - config:\n", + " kvstore:\n", + " db_path: /Users/xiyan/.llama/distributions/together/meta_reference_eval.db\n", + " namespace: null\n", + " type: sqlite\n", " provider_id: meta-reference\n", " provider_type: inline::meta-reference\n", " inference:\n", @@ -222,16 +302,9 @@ " - config: {}\n", " provider_id: sentence-transformers\n", " provider_type: inline::sentence-transformers\n", - " memory:\n", - " - config:\n", - " kvstore:\n", - " db_path: /Users/xiyan/.llama/distributions/together/faiss_store.db\n", - " namespace: null\n", - " type: sqlite\n", - " provider_id: faiss\n", - " provider_type: inline::faiss\n", " safety:\n", - " - config: {}\n", + " - config:\n", + " excluded_categories: []\n", " provider_id: llama-guard\n", " provider_type: inline::llama-guard\n", " scoring:\n", @@ -269,7 +342,26 @@ " - config: {}\n", " provider_id: rag-runtime\n", " provider_type: inline::rag-runtime\n", + " - config: {}\n", + " provider_id: model-context-protocol\n", + " provider_type: remote::model-context-protocol\n", + " - config:\n", + " api_key: '********'\n", + " provider_id: wolfram-alpha\n", + " provider_type: remote::wolfram-alpha\n", + " vector_io:\n", + " - config:\n", + " kvstore:\n", + " db_path: /Users/xiyan/.llama/distributions/together/faiss_store.db\n", + " namespace: null\n", + " type: sqlite\n", + " provider_id: faiss\n", + " provider_type: inline::faiss\n", "scoring_fns: []\n", + "server:\n", + " port: 8321\n", + " tls_certfile: null\n", + " tls_keyfile: null\n", "shields:\n", "- params: null\n", " provider_id: null\n", @@ -288,6 +380,11 @@ " mcp_endpoint: null\n", " provider_id: code-interpreter\n", " toolgroup_id: builtin::code_interpreter\n", + "- args: null\n", + " mcp_endpoint: null\n", + " provider_id: wolfram-alpha\n", + " toolgroup_id: builtin::wolfram_alpha\n", + "vector_dbs: []\n", "version: '2'\n", "\n", "\n" @@ -298,76 +395,146 @@ "- datasetio\n", "- eval\n", "- inference\n", - "- memory\n", "- safety\n", "- scoring\n", "- telemetry\n", "- tool_runtime\n", - "datasets: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", - "container_image: null\n", + "- vector_io\n", "benchmarks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "container_image: null\n", + "datasets: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", "image_name: together\n", - "memory_banks: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "logging: null\n", "metadata_store:\n", " db_path: \u001b[35m/Users/xiyan/.llama/distributions/together/\u001b[0m\u001b[95mregistry.db\u001b[0m\n", " namespace: null\n", " type: sqlite\n", "models:\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-8B-Instruct-Turbo\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-70B-Instruct-Turbo\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-FP8\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-\u001b[1;36m3.1\u001b[0m-405B-Instruct-Turbo\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-3B-Instruct-Turbo\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-11B-Vision-Instruct-Turbo\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-\u001b[1;36m3.2\u001b[0m-90B-Vision-Instruct-Turbo\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Llama-\u001b[1;36m3.3\u001b[0m-70B-Instruct-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-\u001b[1;36m3.3\u001b[0m-70B-Instruct-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-\u001b[1;36m3.3\u001b[0m-70B-Instruct\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-\u001b[1;36m3.3\u001b[0m-70B-Instruct-Turbo\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Meta-Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Meta-Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Meta-Llama-Guard-\u001b[1;36m3\u001b[0m-8B\n", "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision-Turbo\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - llm\n", + " provider_id: together\n", + " provider_model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision-Turbo\n", + "- metadata: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", " - llm\n", " provider_id: together\n", " provider_model_id: meta-llama/Llama-Guard-\u001b[1;36m3\u001b[0m-11B-Vision-Turbo\n", "- metadata:\n", + " context_length: \u001b[1;36m8192\u001b[0m\n", + " embedding_dimension: \u001b[1;36m768\u001b[0m\n", + " model_id: togethercomputer/m2-bert-80M-8k-retrieval\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - embedding\n", + " provider_id: together\n", + " provider_model_id: togethercomputer/m2-bert-80M-8k-retrieval\n", + "- metadata:\n", + " context_length: \u001b[1;36m32768\u001b[0m\n", + " embedding_dimension: \u001b[1;36m768\u001b[0m\n", + " model_id: togethercomputer/m2-bert-80M-32k-retrieval\n", + " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", + " - embedding\n", + " provider_id: together\n", + " provider_model_id: togethercomputer/m2-bert-80M-32k-retrieval\n", + "- metadata:\n", " embedding_dimension: \u001b[1;36m384\u001b[0m\n", " model_id: all-MiniLM-L6-v2\n", " model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType\n", @@ -384,14 +551,26 @@ " provider_id: meta-reference\n", " provider_type: inline::meta-reference\n", " datasetio:\n", - " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " - config:\n", + " kvstore:\n", + " db_path: \u001b[35m/Users/xiyan/.llama/distributions/together/\u001b[0m\u001b[95mhuggingface_datasetio.db\u001b[0m\n", + " namespace: null\n", + " type: sqlite\n", " provider_id: huggingface\n", " provider_type: remote::huggingface\n", - " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " - config:\n", + " kvstore:\n", + " db_path: \u001b[35m/Users/xiyan/.llama/distributions/together/\u001b[0m\u001b[95mlocalfs_datasetio.db\u001b[0m\n", + " namespace: null\n", + " type: sqlite\n", " provider_id: localfs\n", " provider_type: inline::localfs\n", " eval:\n", - " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " - config:\n", + " kvstore:\n", + " db_path: \u001b[35m/Users/xiyan/.llama/distributions/together/\u001b[0m\u001b[95mmeta_reference_eval.db\u001b[0m\n", + " namespace: null\n", + " type: sqlite\n", " provider_id: meta-reference\n", " provider_type: inline::meta-reference\n", " inference:\n", @@ -403,16 +582,9 @@ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " provider_id: sentence-transformers\n", " provider_type: inline::sentence-transformers\n", - " memory:\n", - " - config:\n", - " kvstore:\n", - " db_path: \u001b[35m/Users/xiyan/.llama/distributions/together/\u001b[0m\u001b[95mfaiss_store.db\u001b[0m\n", - " namespace: null\n", - " type: sqlite\n", - " provider_id: faiss\n", - " provider_type: inlin\u001b[1;92me::fa\u001b[0miss\n", " safety:\n", - " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " - config:\n", + " excluded_categories: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", " provider_id: llama-guard\n", " provider_type: inline::llama-guard\n", " scoring:\n", @@ -450,7 +622,26 @@ " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", " provider_id: rag-runtime\n", " provider_type: inline::rag-runtime\n", + " - config: \u001b[1m{\u001b[0m\u001b[1m}\u001b[0m\n", + " provider_id: model-context-protocol\n", + " provider_type: remote::model-context-protocol\n", + " - config:\n", + " api_key: \u001b[32m'********'\u001b[0m\n", + " provider_id: wolfram-alpha\n", + " provider_type: remote::wolfram-alpha\n", + " vector_io:\n", + " - config:\n", + " kvstore:\n", + " db_path: \u001b[35m/Users/xiyan/.llama/distributions/together/\u001b[0m\u001b[95mfaiss_store.db\u001b[0m\n", + " namespace: null\n", + " type: sqlite\n", + " provider_id: faiss\n", + " provider_type: inlin\u001b[1;92me::fa\u001b[0miss\n", "scoring_fns: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", + "server:\n", + " port: \u001b[1;36m8321\u001b[0m\n", + " tls_certfile: null\n", + " tls_keyfile: null\n", "shields:\n", "- params: null\n", " provider_id: null\n", @@ -469,6 +660,11 @@ " mcp_endpoint: null\n", " provider_id: code-interpreter\n", " toolgroup_id: builtin::code_interpreter\n", + "- args: null\n", + " mcp_endpoint: null\n", + " provider_id: wolfram-alpha\n", + " toolgroup_id: builtin::wolfram_alpha\n", + "vector_dbs: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m\n", "version: \u001b[32m'2'\u001b[0m\n", "\n" ] @@ -532,7 +728,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -643,17 +839,7 @@ "id": "DJkmoG2kq1_P", "outputId": "8493ee59-c6ff-4bb6-d787-f295944db1cf" }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Generating dev split: 100%|██████████| 5/5 [00:00<00:00, 139.81 examples/s]\n", - "Generating validation split: 100%|██████████| 30/30 [00:00<00:00, 258.29 examples/s]\n", - "Generating test split: 100%|██████████| 287/287 [00:01<00:00, 197.69 examples/s]\n" - ] - } - ], + "outputs": [], "source": [ "import datasets\n", "\n", @@ -676,7 +862,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -691,7 +877,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 5/5 [00:42<00:00, 8.60s/it]\n" + "100%|██████████| 5/5 [00:33<00:00, 6.71s/it]\n" ] }, { @@ -699,16 +885,18 @@ "text/html": [ "
EvaluateResponse(\n",
               "│   generations=[\n",
-              "│   │   {'generated_answer': 'Answer: D'},\n",
               "│   │   {\n",
-              "│   │   │   'generated_answer': 'The image shows a sunflower leaf with small, dark spots and white powdery patches. The dark spots are likely caused by a fungal pathogen, such as rust or septoria leaf spot, while the white powdery patches are likely caused by a fungal pathogen, such as powdery mildew.\\n\\nSince there are two distinct types of lesions on the leaf, it is likely that there are two different pathogens infecting the leaf.\\n\\n**Answer:** B) Two pathogens'\n",
+              "│   │   │   'generated_answer': '**Potato Pests**\\n\\nThe two insects depicted are:\\n\\n* **Colorado Potato Beetle (Leptinotarsa decemlineata)**: Characterized by black and yellow stripes, this beetle is a significant pest of potatoes. It feeds on the leaves and can cause substantial damage to the crop.\\n* **False Potato Beetle (Leptinotarsa juncta)**: Also known as the false Colorado beetle, this species has similar coloring but is not as harmful to potatoes as the Colorado potato beetle.'\n",
               "│   │   },\n",
               "│   │   {\n",
-              "│   │   │   'generated_answer': \"The question requires the identification of the reason behind the massive gum production on the trunks of grapefruit trees in Cyprus, despite appearing healthy from a distance. The correct answer can be deduced by analyzing the symptoms and considering the possible causes.\\n\\nTo determine the correct answer, let's evaluate each option:\\n\\nA) Don't know or not sure: This option is incorrect because it does not provide a specific reason for the gum production.\\n\\nB) Physiological stress: This option is also incorrect because it is too broad and does not specifically explain the gum production.\\n\\nC) Bacterial disease: This option is incorrect because bacterial diseases typically cause different symptoms such as leaf spots, blights, or wilting.\\n\\nD) Harvesting damage when cutting with knives: This option is incorrect because harvesting damage would likely cause wounds or scars on the tree, but it would not lead to massive gum production.\\n\\nE) Fungal gummosis: This option is the most likely cause of the gum production. Fungal gummosis is a common disease in citrus trees, including grapefruit, that causes the production of gum or sap on the trunks and branches. The disease is typically caused by fungi such as Phytophthora or Diplodia, which infect the tree through wounds or natural openings. The gum production is a defense mechanism by the tree to try to seal off the infection and prevent further damage.\\n\\nTherefore, the correct answer is:\\n\\nAnswer: E\"\n",
+              "│   │   │   'generated_answer': \"The image shows a sunflower leaf with a powdery mildew, which is a fungal disease caused by various species of fungi. The white powdery coating on the leaves is a characteristic symptom of this disease. The leaf also has some black spots, which could be indicative of a secondary infection or another type of disease. However, without more information or a closer examination, it's difficult to determine the exact cause of the black spots.\\n\\nBased on the image alone, we can see at least two types of symptoms: the powdery mildew and the black spots. This suggests that there may be more than one pathogen involved, but it's also possible that the black spots are a result of the same fungal infection causing the powdery mildew.\\n\\nAnswer: B) Two pathogens\"\n",
+              "│   │   },\n",
+              "│   │   {\n",
+              "│   │   │   'generated_answer': 'The symptoms observed, characterized by the massive gum production on the trunks of the grapefruit trees in Cyprus, suggest a physiological or pathological response. Given the absence of visible signs of damage or pests from a higher point on a hillside, and considering the specific nature of the symptom (gum production), we can infer that the cause is more likely related to an internal process within the tree rather than external damage from harvesting. While physiological stress (B) could lead to such symptoms, the primary reason for gum production in trees, especially in citrus species, is typically linked to disease. Among the options provided, fungal gummosis (E) is a condition known to cause gumming in citrus trees, which aligns with the observed symptoms. Therefore, without direct evidence of external damage (harvesting) or confirmation of physiological stress being the primary cause, the most appropriate answer based on the information given is:\\n\\nAnswer: E'\n",
               "│   │   },\n",
               "│   │   {'generated_answer': 'Answer: D'},\n",
               "│   │   {\n",
-              "│   │   │   'generated_answer': '**Causes of Splitting Petioles in Rhubarb**\\n\\nThe following factors can cause the petioles of rhubarb to split:\\n\\n* **Physiological Problems**: Issues such as water stress, nutrient deficiencies, or extreme temperatures can lead to splitting.\\n* **Phytoplasma Infection**: A bacterial infection caused by phytoplasma can lead to splitting of the petioles.\\n* **Animal Damage**: Pests like slugs, snails, or rodents can damage the plant and cause splitting.\\n* **Bacterial Infection**: Bacterial infections can also cause splitting.\\n\\nAs a result, the correct answer is:\\n\\n*Answer*: A) Physiological problems'\n",
+              "│   │   │   'generated_answer': \"**Analysis of the Image**\\n\\nThe image provided shows a rhubarb plant with split petioles. To determine the cause of this issue, we need to consider various factors that could lead to such damage.\\n\\n**Possible Causes of Petiole Splitting**\\n\\n*   **Physiological Problems**: Rhubarb plants can experience physiological stress due to environmental factors like extreme temperatures, waterlogging, or nutrient deficiencies. This stress can cause the petioles to split.\\n*   **Phytoplasma Infection**: Phytoplasma is a type of bacteria that can infect plants, including rhubarb. It can cause symptoms such as yellowing leaves, stunted growth, and splitting of petioles.\\n*   **Animal Damage**: Animals like rabbits, deer, or insects can damage rhubarb plants by eating the leaves or stems, which can lead to splitting of the petioles.\\n*   **Bacteria**: Bacterial infections can also cause damage to rhubarb plants, including splitting of the petioles.\\n\\n**Conclusion**\\n\\nBased on the analysis, it is clear that all the options listed (A) Physiological problems, B) Phytoplasma infection, D) Animal damage, and E) Bacteria) could potentially cause the petioles of the rhubarb plant to split. Therefore, there is no single option that would not be a cause for the petioles splitting.\\n\\n**Answer**: C) I don't know and don't want to guess.\"\n",
               "│   │   }\n",
               "│   ],\n",
               "│   scores={\n",
@@ -723,16 +911,18 @@
             "text/plain": [
               "\u001b[1;35mEvaluateResponse\u001b[0m\u001b[1m(\u001b[0m\n",
               "\u001b[2;32m│   \u001b[0m\u001b[33mgenerations\u001b[0m=\u001b[1m[\u001b[0m\n",
-              "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Answer: D'\u001b[0m\u001b[1m}\u001b[0m,\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\n",
-              "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The image shows a sunflower leaf with small, dark spots and white powdery patches. The dark spots are likely caused by a fungal pathogen, such as rust or septoria leaf spot, while the white powdery patches are likely caused by a fungal pathogen, such as powdery mildew.\\n\\nSince there are two distinct types of lesions on the leaf, it is likely that there are two different pathogens infecting the leaf.\\n\\n**Answer:** B\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Two pathogens'\u001b[0m\n",
+              "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'**Potato Pests**\\n\\nThe two insects depicted are:\\n\\n* **Colorado Potato Beetle \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLeptinotarsa decemlineata\u001b[0m\u001b[32m)\u001b[0m\u001b[32m**: Characterized by black and yellow stripes, this beetle is a significant pest of potatoes. It feeds on the leaves and can cause substantial damage to the crop.\\n* **False Potato Beetle \u001b[0m\u001b[32m(\u001b[0m\u001b[32mLeptinotarsa juncta\u001b[0m\u001b[32m)\u001b[0m\u001b[32m**: Also known as the false Colorado beetle, this species has similar coloring but is not as harmful to potatoes as the Colorado potato beetle.'\u001b[0m\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m}\u001b[0m,\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\n",
-              "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The question requires the identification of the reason behind the massive gum production on the trunks of grapefruit trees in Cyprus, despite appearing healthy from a distance. The correct answer can be deduced by analyzing the symptoms and considering the possible causes.\\n\\nTo determine the correct answer, let's evaluate each option:\\n\\nA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Don't know or not sure: This option is incorrect because it does not provide a specific reason for the gum production.\\n\\nB\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Physiological stress: This option is also incorrect because it is too broad and does not specifically explain the gum production.\\n\\nC\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Bacterial disease: This option is incorrect because bacterial diseases typically cause different symptoms such as leaf spots, blights, or wilting.\\n\\nD\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Harvesting damage when cutting with knives: This option is incorrect because harvesting damage would likely cause wounds or scars on the tree, but it would not lead to massive gum production.\\n\\nE\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Fungal gummosis: This option is the most likely cause of the gum production. Fungal gummosis is a common disease in citrus trees, including grapefruit, that causes the production of gum or sap on the trunks and branches. The disease is typically caused by fungi such as Phytophthora or Diplodia, which infect the tree through wounds or natural openings. The gum production is a defense mechanism by the tree to try to seal off the infection and prevent further damage.\\n\\nTherefore, the correct answer is:\\n\\nAnswer: E\"\u001b[0m\n",
+              "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"The image shows a sunflower leaf with a powdery mildew, which is a fungal disease caused by various species of fungi. The white powdery coating on the leaves is a characteristic symptom of this disease. The leaf also has some black spots, which could be indicative of a secondary infection or another type of disease. However, without more information or a closer examination, it's difficult to determine the exact cause of the black spots.\\n\\nBased on the image alone, we can see at least two types of symptoms: the powdery mildew and the black spots. This suggests that there may be more than one pathogen involved, but it's also possible that the black spots are a result of the same fungal infection causing the powdery mildew.\\n\\nAnswer: B\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Two pathogens\"\u001b[0m\n",
+              "\u001b[2;32m│   │   \u001b[0m\u001b[1m}\u001b[0m,\n",
+              "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\n",
+              "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'The symptoms observed, characterized by the massive gum production on the trunks of the grapefruit trees in Cyprus, suggest a physiological or pathological response. Given the absence of visible signs of damage or pests from a higher point on a hillside, and considering the specific nature of the symptom \u001b[0m\u001b[32m(\u001b[0m\u001b[32mgum production\u001b[0m\u001b[32m)\u001b[0m\u001b[32m, we can infer that the cause is more likely related to an internal process within the tree rather than external damage from harvesting. While physiological stress \u001b[0m\u001b[32m(\u001b[0m\u001b[32mB\u001b[0m\u001b[32m)\u001b[0m\u001b[32m could lead to such symptoms, the primary reason for gum production in trees, especially in citrus species, is typically linked to disease. Among the options provided, fungal gummosis \u001b[0m\u001b[32m(\u001b[0m\u001b[32mE\u001b[0m\u001b[32m)\u001b[0m\u001b[32m is a condition known to cause gumming in citrus trees, which aligns with the observed symptoms. Therefore, without direct evidence of external damage \u001b[0m\u001b[32m(\u001b[0m\u001b[32mharvesting\u001b[0m\u001b[32m)\u001b[0m\u001b[32m or confirmation of physiological stress being the primary cause, the most appropriate answer based on the information given is:\\n\\nAnswer: E'\u001b[0m\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m}\u001b[0m,\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'Answer: D'\u001b[0m\u001b[1m}\u001b[0m,\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\n",
-              "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'**Causes of Splitting Petioles in Rhubarb**\\n\\nThe following factors can cause the petioles of rhubarb to split:\\n\\n* **Physiological Problems**: Issues such as water stress, nutrient deficiencies, or extreme temperatures can lead to splitting.\\n* **Phytoplasma Infection**: A bacterial infection caused by phytoplasma can lead to splitting of the petioles.\\n* **Animal Damage**: Pests like slugs, snails, or rodents can damage the plant and cause splitting.\\n* **Bacterial Infection**: Bacterial infections can also cause splitting.\\n\\nAs a result, the correct answer is:\\n\\n*Answer*: A\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Physiological problems'\u001b[0m\n",
+              "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"**Analysis of the Image**\\n\\nThe image provided shows a rhubarb plant with split petioles. To determine the cause of this issue, we need to consider various factors that could lead to such damage.\\n\\n**Possible Causes of Petiole Splitting**\\n\\n*   **Physiological Problems**: Rhubarb plants can experience physiological stress due to environmental factors like extreme temperatures, waterlogging, or nutrient deficiencies. This stress can cause the petioles to split.\\n*   **Phytoplasma Infection**: Phytoplasma is a type of bacteria that can infect plants, including rhubarb. It can cause symptoms such as yellowing leaves, stunted growth, and splitting of petioles.\\n*   **Animal Damage**: Animals like rabbits, deer, or insects can damage rhubarb plants by eating the leaves or stems, which can lead to splitting of the petioles.\\n*   **Bacteria**: Bacterial infections can also cause damage to rhubarb plants, including splitting of the petioles.\\n\\n**Conclusion**\\n\\nBased on the analysis, it is clear that all the options listed \u001b[0m\u001b[32m(\u001b[0m\u001b[32mA\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Physiological problems, B\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Phytoplasma infection, D\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Animal damage, and E\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Bacteria\u001b[0m\u001b[32m)\u001b[0m\u001b[32m could potentially cause the petioles of the rhubarb plant to split. Therefore, there is no single option that would not be a cause for the petioles splitting.\\n\\n**Answer**: C\u001b[0m\u001b[32m)\u001b[0m\u001b[32m I don't know and don't want to guess.\"\u001b[0m\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m}\u001b[0m\n",
               "\u001b[2;32m│   \u001b[0m\u001b[1m]\u001b[0m,\n",
               "\u001b[2;32m│   \u001b[0m\u001b[33mscores\u001b[0m=\u001b[1m{\u001b[0m\n",
@@ -815,7 +1005,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 8,
+      "execution_count": 5,
       "metadata": {
         "id": "HXmZf3Ymw-aX"
       },
@@ -823,39 +1013,33 @@
       "source": [
         "simpleqa_dataset_id = \"huggingface::simpleqa\"\n",
         "\n",
-        "_ = client.datasets.register(\n",
+        "register_dataset_response = client.datasets.register(\n",
+        "    purpose=\"eval/messages-answer\",\n",
+        "    source={\n",
+        "        \"type\": \"uri\",\n",
+        "        \"uri\": \"huggingface://datasets/llamastack/simpleqa?split=train\",\n",
+        "    },\n",
         "    dataset_id=simpleqa_dataset_id,\n",
-        "    provider_id=\"huggingface\",\n",
-        "    url={\"uri\": \"https://huggingface.co/datasets/llamastack/simpleqa\"},\n",
-        "    metadata={\n",
-        "        \"path\": \"llamastack/simpleqa\",\n",
-        "        \"split\": \"train\",\n",
-        "    },\n",
-        "    dataset_schema={\n",
-        "        \"input_query\": {\"type\": \"string\"},\n",
-        "        \"expected_answer\": {\"type\": \"string\"},\n",
-        "        \"chat_completion_input\": {\"type\": \"chat_completion_input\"},\n",
-        "    },\n",
-        ")\n"
+        ")"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 9,
+      "execution_count": 6,
       "metadata": {
         "id": "Gc8azb4Rxr5J"
       },
       "outputs": [],
       "source": [
-        "eval_rows = client.datasetio.get_rows_paginated(\n",
+        "eval_rows = client.datasets.iterrows(\n",
         "    dataset_id=simpleqa_dataset_id,\n",
-        "    rows_in_page=5,\n",
-        ")\n"
+        "    limit=5,\n",
+        ")"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 12,
+      "execution_count": 7,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -876,7 +1060,7 @@
           "name": "stderr",
           "output_type": "stream",
           "text": [
-            "100%|██████████| 5/5 [00:31<00:00,  6.38s/it]\n"
+            "100%|██████████| 5/5 [00:13<00:00,  2.71s/it]\n"
           ]
         },
         {
@@ -889,14 +1073,14 @@
               "│   │   {\n",
               "│   │   │   'generated_answer': \"Radcliffe College was a women's liberal arts college in Cambridge, Massachusetts. However, it merged with Harvard University in 1977 and is now known as the Radcliffe Institute for Advanced Study at Harvard University.\"\n",
               "│   │   },\n",
-              "│   │   {'generated_answer': 'I do not have information on the Leipzig 1877 tournament.'},\n",
+              "│   │   {'generated_answer': 'I am unable to verify in whose honor the Leipzig 1877 tournament was organized.'},\n",
               "│   │   {\n",
               "│   │   │   'generated_answer': \"I am unable to verify what Empress Elizabeth of Austria's favorite sculpture depicted at her villa Achilleion at Corfu, according to Karl Küchler.\"\n",
               "│   │   }\n",
               "│   ],\n",
               "│   scores={\n",
               "│   │   'llm-as-judge::405b-simpleqa': ScoringResult(\n",
-              "│   │   │   aggregated_results={},\n",
+              "│   │   │   aggregated_results={'categorical_count': {'categorical_count': {'A': 1, 'C': 4}}},\n",
               "│   │   │   score_rows=[\n",
               "│   │   │   │   {'score': 'C', 'judge_feedback': 'C'},\n",
               "│   │   │   │   {'score': 'C', 'judge_feedback': 'C'},\n",
@@ -917,14 +1101,14 @@
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\n",
               "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"Radcliffe College was a women's liberal arts college in Cambridge, Massachusetts. However, it merged with Harvard University in 1977 and is now known as the Radcliffe Institute for Advanced Study at Harvard University.\"\u001b[0m\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m}\u001b[0m,\n",
-              "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'I do not have information on the Leipzig 1877 tournament.'\u001b[0m\u001b[1m}\u001b[0m,\n",
+              "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m'I am unable to verify in whose honor the Leipzig 1877 tournament was organized.'\u001b[0m\u001b[1m}\u001b[0m,\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m{\u001b[0m\n",
               "\u001b[2;32m│   │   │   \u001b[0m\u001b[32m'generated_answer'\u001b[0m: \u001b[32m\"I am unable to verify what Empress Elizabeth of Austria's favorite sculpture depicted at her villa Achilleion at Corfu, according to Karl Küchler.\"\u001b[0m\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[1m}\u001b[0m\n",
               "\u001b[2;32m│   \u001b[0m\u001b[1m]\u001b[0m,\n",
               "\u001b[2;32m│   \u001b[0m\u001b[33mscores\u001b[0m=\u001b[1m{\u001b[0m\n",
               "\u001b[2;32m│   │   \u001b[0m\u001b[32m'llm-as-judge::405b-simpleqa'\u001b[0m: \u001b[1;35mScoringResult\u001b[0m\u001b[1m(\u001b[0m\n",
-              "\u001b[2;32m│   │   │   \u001b[0m\u001b[33maggregated_results\u001b[0m=\u001b[1m{\u001b[0m\u001b[1m}\u001b[0m,\n",
+              "\u001b[2;32m│   │   │   \u001b[0m\u001b[33maggregated_results\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'categorical_count'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'categorical_count'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'A'\u001b[0m: \u001b[1;36m1\u001b[0m, \u001b[32m'C'\u001b[0m: \u001b[1;36m4\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m\u001b[1m}\u001b[0m,\n",
               "\u001b[2;32m│   │   │   \u001b[0m\u001b[33mscore_rows\u001b[0m=\u001b[1m[\u001b[0m\n",
               "\u001b[2;32m│   │   │   │   \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[32m'C'\u001b[0m, \u001b[32m'judge_feedback'\u001b[0m: \u001b[32m'C'\u001b[0m\u001b[1m}\u001b[0m,\n",
               "\u001b[2;32m│   │   │   │   \u001b[0m\u001b[1m{\u001b[0m\u001b[32m'score'\u001b[0m: \u001b[32m'C'\u001b[0m, \u001b[32m'judge_feedback'\u001b[0m: \u001b[32m'C'\u001b[0m\u001b[1m}\u001b[0m,\n",
@@ -957,7 +1141,7 @@
         "\n",
         "response = client.eval.evaluate_rows_alpha(\n",
         "    benchmark_id=\"meta-reference::simpleqa\",\n",
-        "    input_rows=eval_rows.rows,\n",
+        "    input_rows=eval_rows.data,\n",
         "    scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
         "    benchmark_config={\n",
         "        \"type\": \"benchmark\",\n",
@@ -1106,7 +1290,7 @@
         "\n",
         "response = client.eval.evaluate_rows_alpha(\n",
         "    benchmark_id=\"meta-reference::simpleqa\",\n",
-        "    input_rows=eval_rows.rows,\n",
+        "    input_rows=eval_rows.data,\n",
         "    scoring_functions=[\"llm-as-judge::405b-simpleqa\"],\n",
         "    benchmark_config={\n",
         "        \"type\": \"benchmark\",\n",
diff --git a/docs/source/references/evals_reference/index.md b/docs/source/references/evals_reference/index.md
index c10becc7d..0294d83ea 100644
--- a/docs/source/references/evals_reference/index.md
+++ b/docs/source/references/evals_reference/index.md
@@ -114,23 +114,17 @@ pprint(response)
 simpleqa_dataset_id = "huggingface::simpleqa"
 
 _ = client.datasets.register(
+    purpose="eval/messages-answer",
+    source={
+        "type": "uri",
+        "uri": "huggingface://datasets/llamastack/simpleqa?split=train",
+    },
     dataset_id=simpleqa_dataset_id,
-    provider_id="huggingface",
-    url={"uri": "https://huggingface.co/datasets/llamastack/simpleqa"},
-    metadata={
-        "path": "llamastack/simpleqa",
-        "split": "train",
-    },
-    dataset_schema={
-        "input_query": {"type": "string"},
-        "expected_answer": {"type": "string"},
-        "chat_completion_input": {"type": "chat_completion_input"},
-    },
 )
 
-eval_rows = client.datasetio.get_rows_paginated(
+eval_rows = client.datasets.iterrows(
     dataset_id=simpleqa_dataset_id,
-    rows_in_page=5,
+    limit=5,
 )
 ```
 
@@ -143,7 +137,7 @@ client.benchmarks.register(
 
 response = client.eval.evaluate_rows(
     benchmark_id="meta-reference::simpleqa",
-    input_rows=eval_rows.rows,
+    input_rows=eval_rows.data,
     scoring_functions=["llm-as-judge::405b-simpleqa"],
     benchmark_config={
         "eval_candidate": {
@@ -191,7 +185,7 @@ agent_config = {
 
 response = client.eval.evaluate_rows(
     benchmark_id="meta-reference::simpleqa",
-    input_rows=eval_rows.rows,
+    input_rows=eval_rows.data,
     scoring_functions=["llm-as-judge::405b-simpleqa"],
     benchmark_config={
         "eval_candidate": {
diff --git a/llama_stack/distribution/ui/page/evaluations/native_eval.py b/llama_stack/distribution/ui/page/evaluations/native_eval.py
index 5ce5bc5d2..7c39adc4a 100644
--- a/llama_stack/distribution/ui/page/evaluations/native_eval.py
+++ b/llama_stack/distribution/ui/page/evaluations/native_eval.py
@@ -166,11 +166,10 @@ def run_evaluation_3():
     eval_candidate = st.session_state["eval_candidate"]
 
     dataset_id = benchmarks[selected_benchmark].dataset_id
-    rows = llama_stack_api.client.datasetio.iterrows(
+    rows = llama_stack_api.client.datasets.iterrows(
         dataset_id=dataset_id,
-        rows_in_page=-1,
     )
-    total_rows = len(rows.rows)
+    total_rows = len(rows.data)
     # Add number of examples control
     num_rows = st.number_input(
         "Number of Examples to Evaluate",
@@ -195,7 +194,7 @@ def run_evaluation_3():
     if st.button("Run Evaluation"):
         progress_text = "Running evaluation..."
         progress_bar = st.progress(0, text=progress_text)
-        rows = rows.rows
+        rows = rows.data
         if num_rows < total_rows:
             rows = rows[:num_rows]
 
diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py
index 67e2eb193..ae5b81a09 100644
--- a/llama_stack/providers/inline/eval/meta_reference/eval.py
+++ b/llama_stack/providers/inline/eval/meta_reference/eval.py
@@ -92,11 +92,11 @@ class MetaReferenceEvalImpl(
         validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.eval.value))
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
-            rows_in_page=(-1 if benchmark_config.num_examples is None else benchmark_config.num_examples),
+            limit=(-1 if benchmark_config.num_examples is None else benchmark_config.num_examples),
         )
         res = await self.evaluate_rows(
             benchmark_id=benchmark_id,
-            input_rows=all_rows.rows,
+            input_rows=all_rows.data,
             scoring_functions=scoring_functions,
             benchmark_config=benchmark_config,
         )
diff --git a/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py b/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py
index 482bbd309..0f89b4064 100644
--- a/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py
+++ b/llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device.py
@@ -330,11 +330,11 @@ class LoraFinetuningSingleDevice:
         async def fetch_rows(dataset_id: str):
             return await self.datasetio_api.iterrows(
                 dataset_id=dataset_id,
-                rows_in_page=-1,
+                limit=-1,
             )
 
         all_rows = await fetch_rows(dataset_id)
-        rows = all_rows.rows
+        rows = all_rows.data
 
         await validate_input_dataset_schema(
             datasets_api=self.datasets_api,
diff --git a/llama_stack/providers/inline/scoring/basic/scoring.py b/llama_stack/providers/inline/scoring/basic/scoring.py
index 915c33c8d..a735166e1 100644
--- a/llama_stack/providers/inline/scoring/basic/scoring.py
+++ b/llama_stack/providers/inline/scoring/basic/scoring.py
@@ -86,10 +86,10 @@ class BasicScoringImpl(
 
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
-            rows_in_page=-1,
+            limit=-1,
         )
         res = await self.score(
-            input_rows=all_rows.rows,
+            input_rows=all_rows.data,
             scoring_functions=scoring_functions,
         )
         if save_results_dataset:
diff --git a/llama_stack/providers/inline/scoring/braintrust/braintrust.py b/llama_stack/providers/inline/scoring/braintrust/braintrust.py
index 1f5c3e147..3fae83340 100644
--- a/llama_stack/providers/inline/scoring/braintrust/braintrust.py
+++ b/llama_stack/providers/inline/scoring/braintrust/braintrust.py
@@ -169,9 +169,9 @@ class BraintrustScoringImpl(
 
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
-            rows_in_page=-1,
+            limit=-1,
         )
-        res = await self.score(input_rows=all_rows.rows, scoring_functions=scoring_functions)
+        res = await self.score(input_rows=all_rows.data, scoring_functions=scoring_functions)
         if save_results_dataset:
             # TODO: persist and register dataset on to server for reading
             # self.datasets_api.register_dataset()
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
index c6e0d39c9..7f004fbb6 100644
--- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
+++ b/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
@@ -74,10 +74,10 @@ class LlmAsJudgeScoringImpl(
 
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
-            rows_in_page=-1,
+            limit=-1,
         )
         res = await self.score(
-            input_rows=all_rows.rows,
+            input_rows=all_rows.data,
             scoring_functions=scoring_functions,
         )
         if save_results_dataset:
diff --git a/tests/integration/eval/test_eval.py b/tests/integration/eval/test_eval.py
index ac254385a..e25daabbe 100644
--- a/tests/integration/eval/test_eval.py
+++ b/tests/integration/eval/test_eval.py
@@ -20,11 +20,11 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
     response = llama_stack_client.datasets.list()
     assert any(x.identifier == "test_dataset_for_eval" for x in response)
 
-    rows = llama_stack_client.datasetio.get_rows_paginated(
+    rows = llama_stack_client.datasets.iterrows(
         dataset_id="test_dataset_for_eval",
-        rows_in_page=3,
+        limit=3,
     )
-    assert len(rows.rows) == 3
+    assert len(rows.data) == 3
 
     scoring_functions = [
         scoring_fn_id,
@@ -40,7 +40,7 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
 
     response = llama_stack_client.eval.evaluate_rows(
         benchmark_id=benchmark_id,
-        input_rows=rows.rows,
+        input_rows=rows.data,
         scoring_functions=scoring_functions,
         benchmark_config={
             "eval_candidate": {

From 5cf7779b8fa6777c21886164c2586cc44a501b38 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sat, 15 Mar 2025 17:36:39 -0700
Subject: [PATCH 32/73] fix integeration

---
 .../inline/eval/meta_reference/eval.py        | 76 ++++++++++++++-----
 tests/integration/eval/test_eval.py           | 40 +++++++---
 2 files changed, 87 insertions(+), 29 deletions(-)

diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py
index ae5b81a09..20c7cca16 100644
--- a/llama_stack/providers/inline/eval/meta_reference/eval.py
+++ b/llama_stack/providers/inline/eval/meta_reference/eval.py
@@ -19,11 +19,7 @@ from llama_stack.providers.datatypes import BenchmarksProtocolPrivate
 from llama_stack.providers.inline.agents.meta_reference.agent_instance import (
     MEMORY_QUERY_TOOL,
 )
-from llama_stack.providers.utils.common.data_schema_validator import (
-    ColumnName,
-    get_valid_schemas,
-    validate_dataset_schema,
-)
+from llama_stack.providers.utils.common.data_schema_validator import ColumnName
 from llama_stack.providers.utils.kvstore import kvstore_impl
 
 from .....apis.common.job_types import Job
@@ -89,10 +85,14 @@ class MetaReferenceEvalImpl(
         dataset_id = task_def.dataset_id
         scoring_functions = task_def.scoring_functions
         dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.eval.value))
+        # TODO: validate dataset schema
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
-            limit=(-1 if benchmark_config.num_examples is None else benchmark_config.num_examples),
+            limit=(
+                -1
+                if benchmark_config.num_examples is None
+                else benchmark_config.num_examples
+            ),
         )
         res = await self.evaluate_rows(
             benchmark_id=benchmark_id,
@@ -118,10 +118,14 @@ class MetaReferenceEvalImpl(
         for i, x in tqdm(enumerate(input_rows)):
             assert ColumnName.chat_completion_input.value in x, "Invalid input row"
             input_messages = json.loads(x[ColumnName.chat_completion_input.value])
-            input_messages = [UserMessage(**x) for x in input_messages if x["role"] == "user"]
+            input_messages = [
+                UserMessage(**x) for x in input_messages if x["role"] == "user"
+            ]
 
             # NOTE: only single-turn agent generation is supported. Create a new session for each input row
-            session_create_response = await self.agents_api.create_agent_session(agent_id, f"session-{i}")
+            session_create_response = await self.agents_api.create_agent_session(
+                agent_id, f"session-{i}"
+            )
             session_id = session_create_response.session_id
 
             turn_request = dict(
@@ -130,7 +134,12 @@ class MetaReferenceEvalImpl(
                 messages=input_messages,
                 stream=True,
             )
-            turn_response = [chunk async for chunk in await self.agents_api.create_agent_turn(**turn_request)]
+            turn_response = [
+                chunk
+                async for chunk in await self.agents_api.create_agent_turn(
+                    **turn_request
+                )
+            ]
             final_event = turn_response[-1].event.payload
 
             # check if there's a memory retrieval step and extract the context
@@ -139,10 +148,14 @@ class MetaReferenceEvalImpl(
                 if step.step_type == StepType.tool_execution.value:
                     for tool_response in step.tool_responses:
                         if tool_response.tool_name == MEMORY_QUERY_TOOL:
-                            memory_rag_context = " ".join(x.text for x in tool_response.content)
+                            memory_rag_context = " ".join(
+                                x.text for x in tool_response.content
+                            )
 
             agent_generation = {}
-            agent_generation[ColumnName.generated_answer.value] = final_event.turn.output_message.content
+            agent_generation[ColumnName.generated_answer.value] = (
+                final_event.turn.output_message.content
+            )
             if memory_rag_context:
                 agent_generation[ColumnName.context.value] = memory_rag_context
 
@@ -154,7 +167,9 @@ class MetaReferenceEvalImpl(
         self, input_rows: List[Dict[str, Any]], benchmark_config: BenchmarkConfig
     ) -> List[Dict[str, Any]]:
         candidate = benchmark_config.eval_candidate
-        assert candidate.sampling_params.max_tokens is not None, "SamplingParams.max_tokens must be provided"
+        assert (
+            candidate.sampling_params.max_tokens is not None
+        ), "SamplingParams.max_tokens must be provided"
 
         generations = []
         for x in tqdm(input_rows):
@@ -165,21 +180,39 @@ class MetaReferenceEvalImpl(
                     content=input_content,
                     sampling_params=candidate.sampling_params,
                 )
-                generations.append({ColumnName.generated_answer.value: response.completion_message.content})
+                generations.append(
+                    {
+                        ColumnName.generated_answer.value: response.completion_message.content
+                    }
+                )
             elif ColumnName.chat_completion_input.value in x:
-                chat_completion_input_json = json.loads(x[ColumnName.chat_completion_input.value])
-                input_messages = [UserMessage(**x) for x in chat_completion_input_json if x["role"] == "user"]
+                chat_completion_input_json = json.loads(
+                    x[ColumnName.chat_completion_input.value]
+                )
+                input_messages = [
+                    UserMessage(**x)
+                    for x in chat_completion_input_json
+                    if x["role"] == "user"
+                ]
                 messages = []
                 if candidate.system_message:
                     messages.append(candidate.system_message)
-                messages += [SystemMessage(**x) for x in chat_completion_input_json if x["role"] == "system"]
+                messages += [
+                    SystemMessage(**x)
+                    for x in chat_completion_input_json
+                    if x["role"] == "system"
+                ]
                 messages += input_messages
                 response = await self.inference_api.chat_completion(
                     model_id=candidate.model,
                     messages=messages,
                     sampling_params=candidate.sampling_params,
                 )
-                generations.append({ColumnName.generated_answer.value: response.completion_message.content})
+                generations.append(
+                    {
+                        ColumnName.generated_answer.value: response.completion_message.content
+                    }
+                )
             else:
                 raise ValueError("Invalid input row")
 
@@ -202,7 +235,8 @@ class MetaReferenceEvalImpl(
 
         # scoring with generated_answer
         score_input_rows = [
-            input_r | generated_r for input_r, generated_r in zip(input_rows, generations, strict=False)
+            input_r | generated_r
+            for input_r, generated_r in zip(input_rows, generations, strict=False)
         ]
 
         if benchmark_config.scoring_params is not None:
@@ -211,7 +245,9 @@ class MetaReferenceEvalImpl(
                 for scoring_fn_id in scoring_functions
             }
         else:
-            scoring_functions_dict = {scoring_fn_id: None for scoring_fn_id in scoring_functions}
+            scoring_functions_dict = {
+                scoring_fn_id: None for scoring_fn_id in scoring_functions
+            }
 
         score_response = await self.scoring_api.score(
             input_rows=score_input_rows, scoring_functions=scoring_functions_dict
diff --git a/tests/integration/eval/test_eval.py b/tests/integration/eval/test_eval.py
index e25daabbe..ee276e72b 100644
--- a/tests/integration/eval/test_eval.py
+++ b/tests/integration/eval/test_eval.py
@@ -3,11 +3,13 @@
 #
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
+import os
 import uuid
+from pathlib import Path
 
 import pytest
 
-from ..datasetio.test_datasetio import register_dataset
+from ..datasets.test_datasets import data_url_from_file
 
 # How to run this test:
 #
@@ -16,12 +18,20 @@ from ..datasetio.test_datasetio import register_dataset
 
 @pytest.mark.parametrize("scoring_fn_id", ["basic::equality"])
 def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
-    register_dataset(llama_stack_client, for_generation=True, dataset_id="test_dataset_for_eval")
+    dataset = llama_stack_client.datasets.register(
+        purpose="eval/messages-answer",
+        source={
+            "type": "uri",
+            "uri": data_url_from_file(
+                Path(__file__).parent.parent / "datasets" / "test_dataset.csv"
+            ),
+        },
+    )
     response = llama_stack_client.datasets.list()
-    assert any(x.identifier == "test_dataset_for_eval" for x in response)
+    assert any(x.identifier == dataset.identifier for x in response)
 
     rows = llama_stack_client.datasets.iterrows(
-        dataset_id="test_dataset_for_eval",
+        dataset_id=dataset.identifier,
         limit=3,
     )
     assert len(rows.data) == 3
@@ -32,7 +42,7 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
     benchmark_id = str(uuid.uuid4())
     llama_stack_client.benchmarks.register(
         benchmark_id=benchmark_id,
-        dataset_id="test_dataset_for_eval",
+        dataset_id=dataset.identifier,
         scoring_functions=scoring_functions,
     )
     list_benchmarks = llama_stack_client.benchmarks.list()
@@ -59,11 +69,19 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
 
 @pytest.mark.parametrize("scoring_fn_id", ["basic::subset_of"])
 def test_evaluate_benchmark(llama_stack_client, text_model_id, scoring_fn_id):
-    register_dataset(llama_stack_client, for_generation=True, dataset_id="test_dataset_for_eval_2")
+    dataset = llama_stack_client.datasets.register(
+        purpose="eval/messages-answer",
+        source={
+            "type": "uri",
+            "uri": data_url_from_file(
+                Path(__file__).parent.parent / "datasets" / "test_dataset.csv"
+            ),
+        },
+    )
     benchmark_id = str(uuid.uuid4())
     llama_stack_client.benchmarks.register(
         benchmark_id=benchmark_id,
-        dataset_id="test_dataset_for_eval_2",
+        dataset_id=dataset.identifier,
         scoring_functions=[scoring_fn_id],
     )
 
@@ -80,10 +98,14 @@ def test_evaluate_benchmark(llama_stack_client, text_model_id, scoring_fn_id):
         },
     )
     assert response.job_id == "0"
-    job_status = llama_stack_client.eval.jobs.status(job_id=response.job_id, benchmark_id=benchmark_id)
+    job_status = llama_stack_client.eval.jobs.status(
+        job_id=response.job_id, benchmark_id=benchmark_id
+    )
     assert job_status and job_status == "completed"
 
-    eval_response = llama_stack_client.eval.jobs.retrieve(job_id=response.job_id, benchmark_id=benchmark_id)
+    eval_response = llama_stack_client.eval.jobs.retrieve(
+        job_id=response.job_id, benchmark_id=benchmark_id
+    )
     assert eval_response is not None
     assert len(eval_response.generations) == 5
     assert scoring_fn_id in eval_response.scores

From 63f1525165ec0650b63e13021bbd3095c322b095 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 16:27:29 -0700
Subject: [PATCH 33/73] precommit

---
 .../inline/eval/meta_reference/eval.py        | 69 ++++---------------
 tests/integration/eval/test_eval.py           | 17 ++---
 2 files changed, 18 insertions(+), 68 deletions(-)

diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py
index 20c7cca16..e58975ff8 100644
--- a/llama_stack/providers/inline/eval/meta_reference/eval.py
+++ b/llama_stack/providers/inline/eval/meta_reference/eval.py
@@ -14,7 +14,6 @@ from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Datasets
 from llama_stack.apis.inference import Inference, SystemMessage, UserMessage
 from llama_stack.apis.scoring import Scoring
-from llama_stack.distribution.datatypes import Api
 from llama_stack.providers.datatypes import BenchmarksProtocolPrivate
 from llama_stack.providers.inline.agents.meta_reference.agent_instance import (
     MEMORY_QUERY_TOOL,
@@ -88,11 +87,7 @@ class MetaReferenceEvalImpl(
         # TODO: validate dataset schema
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
-            limit=(
-                -1
-                if benchmark_config.num_examples is None
-                else benchmark_config.num_examples
-            ),
+            limit=(-1 if benchmark_config.num_examples is None else benchmark_config.num_examples),
         )
         res = await self.evaluate_rows(
             benchmark_id=benchmark_id,
@@ -118,14 +113,10 @@ class MetaReferenceEvalImpl(
         for i, x in tqdm(enumerate(input_rows)):
             assert ColumnName.chat_completion_input.value in x, "Invalid input row"
             input_messages = json.loads(x[ColumnName.chat_completion_input.value])
-            input_messages = [
-                UserMessage(**x) for x in input_messages if x["role"] == "user"
-            ]
+            input_messages = [UserMessage(**x) for x in input_messages if x["role"] == "user"]
 
             # NOTE: only single-turn agent generation is supported. Create a new session for each input row
-            session_create_response = await self.agents_api.create_agent_session(
-                agent_id, f"session-{i}"
-            )
+            session_create_response = await self.agents_api.create_agent_session(agent_id, f"session-{i}")
             session_id = session_create_response.session_id
 
             turn_request = dict(
@@ -134,12 +125,7 @@ class MetaReferenceEvalImpl(
                 messages=input_messages,
                 stream=True,
             )
-            turn_response = [
-                chunk
-                async for chunk in await self.agents_api.create_agent_turn(
-                    **turn_request
-                )
-            ]
+            turn_response = [chunk async for chunk in await self.agents_api.create_agent_turn(**turn_request)]
             final_event = turn_response[-1].event.payload
 
             # check if there's a memory retrieval step and extract the context
@@ -148,14 +134,10 @@ class MetaReferenceEvalImpl(
                 if step.step_type == StepType.tool_execution.value:
                     for tool_response in step.tool_responses:
                         if tool_response.tool_name == MEMORY_QUERY_TOOL:
-                            memory_rag_context = " ".join(
-                                x.text for x in tool_response.content
-                            )
+                            memory_rag_context = " ".join(x.text for x in tool_response.content)
 
             agent_generation = {}
-            agent_generation[ColumnName.generated_answer.value] = (
-                final_event.turn.output_message.content
-            )
+            agent_generation[ColumnName.generated_answer.value] = final_event.turn.output_message.content
             if memory_rag_context:
                 agent_generation[ColumnName.context.value] = memory_rag_context
 
@@ -167,9 +149,7 @@ class MetaReferenceEvalImpl(
         self, input_rows: List[Dict[str, Any]], benchmark_config: BenchmarkConfig
     ) -> List[Dict[str, Any]]:
         candidate = benchmark_config.eval_candidate
-        assert (
-            candidate.sampling_params.max_tokens is not None
-        ), "SamplingParams.max_tokens must be provided"
+        assert candidate.sampling_params.max_tokens is not None, "SamplingParams.max_tokens must be provided"
 
         generations = []
         for x in tqdm(input_rows):
@@ -180,39 +160,21 @@ class MetaReferenceEvalImpl(
                     content=input_content,
                     sampling_params=candidate.sampling_params,
                 )
-                generations.append(
-                    {
-                        ColumnName.generated_answer.value: response.completion_message.content
-                    }
-                )
+                generations.append({ColumnName.generated_answer.value: response.completion_message.content})
             elif ColumnName.chat_completion_input.value in x:
-                chat_completion_input_json = json.loads(
-                    x[ColumnName.chat_completion_input.value]
-                )
-                input_messages = [
-                    UserMessage(**x)
-                    for x in chat_completion_input_json
-                    if x["role"] == "user"
-                ]
+                chat_completion_input_json = json.loads(x[ColumnName.chat_completion_input.value])
+                input_messages = [UserMessage(**x) for x in chat_completion_input_json if x["role"] == "user"]
                 messages = []
                 if candidate.system_message:
                     messages.append(candidate.system_message)
-                messages += [
-                    SystemMessage(**x)
-                    for x in chat_completion_input_json
-                    if x["role"] == "system"
-                ]
+                messages += [SystemMessage(**x) for x in chat_completion_input_json if x["role"] == "system"]
                 messages += input_messages
                 response = await self.inference_api.chat_completion(
                     model_id=candidate.model,
                     messages=messages,
                     sampling_params=candidate.sampling_params,
                 )
-                generations.append(
-                    {
-                        ColumnName.generated_answer.value: response.completion_message.content
-                    }
-                )
+                generations.append({ColumnName.generated_answer.value: response.completion_message.content})
             else:
                 raise ValueError("Invalid input row")
 
@@ -235,8 +197,7 @@ class MetaReferenceEvalImpl(
 
         # scoring with generated_answer
         score_input_rows = [
-            input_r | generated_r
-            for input_r, generated_r in zip(input_rows, generations, strict=False)
+            input_r | generated_r for input_r, generated_r in zip(input_rows, generations, strict=False)
         ]
 
         if benchmark_config.scoring_params is not None:
@@ -245,9 +206,7 @@ class MetaReferenceEvalImpl(
                 for scoring_fn_id in scoring_functions
             }
         else:
-            scoring_functions_dict = {
-                scoring_fn_id: None for scoring_fn_id in scoring_functions
-            }
+            scoring_functions_dict = {scoring_fn_id: None for scoring_fn_id in scoring_functions}
 
         score_response = await self.scoring_api.score(
             input_rows=score_input_rows, scoring_functions=scoring_functions_dict
diff --git a/tests/integration/eval/test_eval.py b/tests/integration/eval/test_eval.py
index ee276e72b..c4aa0fa1b 100644
--- a/tests/integration/eval/test_eval.py
+++ b/tests/integration/eval/test_eval.py
@@ -3,7 +3,6 @@
 #
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
-import os
 import uuid
 from pathlib import Path
 
@@ -22,9 +21,7 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
         purpose="eval/messages-answer",
         source={
             "type": "uri",
-            "uri": data_url_from_file(
-                Path(__file__).parent.parent / "datasets" / "test_dataset.csv"
-            ),
+            "uri": data_url_from_file(Path(__file__).parent.parent / "datasets" / "test_dataset.csv"),
         },
     )
     response = llama_stack_client.datasets.list()
@@ -73,9 +70,7 @@ def test_evaluate_benchmark(llama_stack_client, text_model_id, scoring_fn_id):
         purpose="eval/messages-answer",
         source={
             "type": "uri",
-            "uri": data_url_from_file(
-                Path(__file__).parent.parent / "datasets" / "test_dataset.csv"
-            ),
+            "uri": data_url_from_file(Path(__file__).parent.parent / "datasets" / "test_dataset.csv"),
         },
     )
     benchmark_id = str(uuid.uuid4())
@@ -98,14 +93,10 @@ def test_evaluate_benchmark(llama_stack_client, text_model_id, scoring_fn_id):
         },
     )
     assert response.job_id == "0"
-    job_status = llama_stack_client.eval.jobs.status(
-        job_id=response.job_id, benchmark_id=benchmark_id
-    )
+    job_status = llama_stack_client.eval.jobs.status(job_id=response.job_id, benchmark_id=benchmark_id)
     assert job_status and job_status == "completed"
 
-    eval_response = llama_stack_client.eval.jobs.retrieve(
-        job_id=response.job_id, benchmark_id=benchmark_id
-    )
+    eval_response = llama_stack_client.eval.jobs.retrieve(job_id=response.job_id, benchmark_id=benchmark_id)
     assert eval_response is not None
     assert len(eval_response.generations) == 5
     assert scoring_fn_id in eval_response.scores

From d9264a092523472044c5063ad2a26c5459181694 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 16:34:56 -0700
Subject: [PATCH 34/73] dataaset

---
 llama_stack/providers/inline/eval/meta_reference/eval.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py
index e58975ff8..3630d4c03 100644
--- a/llama_stack/providers/inline/eval/meta_reference/eval.py
+++ b/llama_stack/providers/inline/eval/meta_reference/eval.py
@@ -83,8 +83,10 @@ class MetaReferenceEvalImpl(
         task_def = self.benchmarks[benchmark_id]
         dataset_id = task_def.dataset_id
         scoring_functions = task_def.scoring_functions
-        dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        # TODO: validate dataset schema
+
+        # TODO (xiyan): validate dataset schema
+        # dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
+
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
             limit=(-1 if benchmark_config.num_examples is None else benchmark_config.num_examples),

From d34b70e3ab28431c88d03651f20eea00d6055309 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 18:30:06 -0700
Subject: [PATCH 35/73] grader

---
 llama_stack/apis/graders/graders.py | 238 ++++++++++++++++++++++++++++
 llama_stack/apis/resource.py        |  10 +-
 2 files changed, 246 insertions(+), 2 deletions(-)
 create mode 100644 llama_stack/apis/graders/graders.py

diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
new file mode 100644
index 000000000..077497414
--- /dev/null
+++ b/llama_stack/apis/graders/graders.py
@@ -0,0 +1,238 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from .graders import *  # noqa: F401 F403
+from enum import Enum
+
+from typing import (
+    Annotated,
+    Any,
+    Dict,
+    List,
+    Literal,
+    Optional,
+    Protocol,
+    runtime_checkable,
+    Union,
+)
+
+from llama_stack.apis.datasets import DatasetPurpose
+
+from llama_stack.apis.resource import Resource, ResourceType
+
+from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
+from pydantic import BaseModel, Field
+
+
+class GraderType(Enum):
+    """
+    A type of grader. Each type is a criteria for evaluating answers.
+    """
+
+    llm = "llm"
+    regex_parser = "regex_parser"
+    equality = "equality"
+    subset_of = "subset_of"
+    factuality = "factuality"
+    faithfulness = "faithfulness"
+
+
+@json_schema_type
+class GraderTypeInfo(BaseModel):
+    """
+    :param type: The type of grader.
+    :param description: A description of the grader type.
+        - E.g. Write your custom judge prompt to score the answer.
+    :param supported_dataset_purposes: The purposes that this grader can be used for.
+    """
+
+    grader_type: GraderType
+    description: str
+    supported_dataset_purposes: List[DatasetPurpose] = Field(
+        description="The supported purposes (supported dataset schema) that this grader can be used for. E.g. eval/question-answer",
+        default_factory=list,
+    )
+
+
+class AggregationFunctionType(Enum):
+    """
+    A type of aggregation function.
+    :cvar average: Average the scores of each row.
+    :cvar median: Median the scores of each row.
+    :cvar categorical_count: Count the number of rows that match each category.
+    :cvar accuracy: Number of correct results over total results.
+    """
+
+    average = "average"
+    median = "median"
+    categorical_count = "categorical_count"
+    accuracy = "accuracy"
+
+
+class BasicGraderParams(BaseModel):
+    aggregation_functions: List[AggregationFunctionType]
+
+
+class LlmGraderParams(BaseModel):
+    model: str
+    prompt: str
+    score_regexes: List[str]
+    aggregation_functions: List[AggregationFunctionType]
+
+
+class RegexParserGraderParams(BaseModel):
+    parsing_regexes: List[str]
+    aggregation_functions: List[AggregationFunctionType]
+
+
+@json_schema_type
+class LlmGrader(BaseModel):
+    type: Literal[GraderType.llm.value] = GraderType.llm.value
+    llm: LlmGraderParams
+
+
+@json_schema_type
+class RegexParserGrader(BaseModel):
+    type: Literal[GraderType.regex_parser.value] = GraderType.regex_parser.value
+    regex_parser: RegexParserGraderParams
+
+
+@json_schema_type
+class EqualityGrader(BaseModel):
+    type: Literal[GraderType.equality.value] = GraderType.equality.value
+    equality: BasicGraderParams
+
+
+@json_schema_type
+class SubsetOfGrader(BaseModel):
+    type: Literal[GraderType.subset_of.value] = GraderType.subset_of.value
+    subset_of: BasicGraderParams
+
+
+@json_schema_type
+class FactualityGrader(BaseModel):
+    type: Literal[GraderType.factuality.value] = GraderType.factuality.value
+    factuality: BasicGraderParams
+
+
+@json_schema_type
+class FaithfulnessGrader(BaseModel):
+    type: Literal[GraderType.faithfulness.value] = GraderType.faithfulness.value
+    faithfulness: BasicGraderParams
+
+
+GraderDefinition = register_schema(
+    Annotated[
+        Union[
+            LlmGrader,
+            RegexParserGrader,
+            EqualityGrader,
+            SubsetOfGrader,
+            FactualityGrader,
+            FaithfulnessGrader,
+        ],
+        Field(discriminator="type"),
+    ],
+    name="GraderDefinition",
+)
+
+
+class CommonGraderFields(BaseModel):
+    grader: GraderDefinition
+    description: Optional[str] = None
+    metadata: Dict[str, Any] = Field(
+        default_factory=dict,
+        description="Any additional metadata for this definition",
+    )
+
+
+@json_schema_type
+class Grader(CommonGraderFields, Resource):
+    type: Literal[ResourceType.grader.value] = ResourceType.grader.value
+
+    @property
+    def grader_id(self) -> str:
+        return self.identifier
+
+    @property
+    def provider_grader_id(self) -> str:
+        return self.provider_resource_id
+
+
+class GraderInput(CommonGraderFields, BaseModel):
+    grader_id: str
+    provider_id: Optional[str] = None
+    provider_grader_id: Optional[str] = None
+
+
+class ListGradersResponse(BaseModel):
+    data: List[Grader]
+
+
+class ListGraderTypesResponse(BaseModel):
+    data: List[GraderTypeInfo]
+
+
+@runtime_checkable
+class Graders(Protocol):
+    @webmethod(route="/graders", method="POST")
+    async def register_grader(
+        self,
+        grader: GraderDefinition,
+        grader_id: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+    ) -> Grader:
+        """
+        Register a new grader.
+        :param grader: The grader definition, E.g.
+            - {
+                "type": "llm",
+                "llm": {
+                    "model": "llama-405b",
+                    "prompt": "You are a judge. Score the answer based on the question. {question} {answer}",
+                }
+            }
+        :param grader_id: (Optional) The ID of the grader. If not provided, a random ID will be generated.
+        :param metadata: (Optional) Any additional metadata for this grader.
+            - E.g. {
+                "description": "A grader that scores the answer based on the question.",
+            }
+        :return: The registered grader.
+        """
+        ...
+
+    @webmethod(route="/graders", method="GET")
+    async def list_graders(self) -> List[Grader]:
+        """
+        List all graders.
+        :return: A list of graders.
+        """
+        ...
+
+    @webmethod(route="/graders/{grader_id:path}", method="GET")
+    async def get_grader(self, grader_id: str) -> Grader:
+        """
+        Get a grader by ID.
+        :param grader_id: The ID of the grader.
+        :return: The grader.
+        """
+        ...
+
+    @webmethod(route="/graders/{grader_id:path}", method="DELETE")
+    async def delete_grader(self, grader_id: str) -> None:
+        """
+        Delete a grader by ID.
+        :param grader_id: The ID of the grader.
+        """
+        ...
+
+    @webmethod(route="/graders/types", method="GET")
+    async def list_grader_types(self) -> ListGraderTypesResponse:
+        """
+        List all grader types.
+        :return: A list of grader types and information about the types.
+        """
+        ...
diff --git a/llama_stack/apis/resource.py b/llama_stack/apis/resource.py
index 70ec63c55..fc590b118 100644
--- a/llama_stack/apis/resource.py
+++ b/llama_stack/apis/resource.py
@@ -14,6 +14,8 @@ class ResourceType(Enum):
     shield = "shield"
     vector_db = "vector_db"
     dataset = "dataset"
+    grader = "grader"
+    # TODO: migrate scoring_function -> grader
     scoring_function = "scoring_function"
     benchmark = "benchmark"
     tool = "tool"
@@ -23,7 +25,9 @@ class ResourceType(Enum):
 class Resource(BaseModel):
     """Base class for all Llama Stack resources"""
 
-    identifier: str = Field(description="Unique identifier for this resource in llama stack")
+    identifier: str = Field(
+        description="Unique identifier for this resource in llama stack"
+    )
 
     provider_resource_id: str = Field(
         description="Unique identifier for this resource in the provider",
@@ -32,4 +36,6 @@ class Resource(BaseModel):
 
     provider_id: str = Field(description="ID of the provider that owns this resource")
 
-    type: ResourceType = Field(description="Type of resource (e.g. 'model', 'shield', 'vector_db', etc.)")
+    type: ResourceType = Field(
+        description="Type of resource (e.g. 'model', 'shield', 'vector_db', etc.)"
+    )

From 035b2dcb605a2ebfe33ec2fdd132e379690284e8 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 19:33:57 -0700
Subject: [PATCH 36/73] new apis

---
 docs/_static/llama-stack-spec.html        | 2499 ++++++++++-----------
 docs/_static/llama-stack-spec.yaml        | 1738 +++++++-------
 llama_stack/apis/benchmarks/benchmarks.py |   51 +-
 llama_stack/apis/common/job_types.py      |   36 +-
 llama_stack/apis/eval/eval.py             |    8 +-
 llama_stack/apis/evaluation/__init__.py   |    7 +
 llama_stack/apis/evaluation/evaluation.py |  175 ++
 llama_stack/apis/graders/__init__.py      |    7 +
 llama_stack/distribution/stack.py         |   34 +-
 9 files changed, 2365 insertions(+), 2190 deletions(-)
 create mode 100644 llama_stack/apis/evaluation/__init__.py
 create mode 100644 llama_stack/apis/evaluation/evaluation.py
 create mode 100644 llama_stack/apis/graders/__init__.py

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index e3c81ddb9..d6f420cae 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -866,6 +866,83 @@
                 ]
             }
         },
+        "/v1/graders/{grader_id}": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "The grader.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/Grader"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Graders"
+                ],
+                "description": "Get a grader by ID.",
+                "parameters": [
+                    {
+                        "name": "grader_id",
+                        "in": "path",
+                        "description": "The ID of the grader.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            },
+            "delete": {
+                "responses": {
+                    "200": {
+                        "description": "OK"
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Graders"
+                ],
+                "description": "Delete a grader by ID.",
+                "parameters": [
+                    {
+                        "name": "grader_id",
+                        "in": "path",
+                        "description": "The ID of the grader.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            }
+        },
         "/v1/inference/embeddings": {
             "post": {
                 "responses": {
@@ -909,59 +986,6 @@
                 }
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}/evaluations": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "EvaluateResponse object containing generations and scores",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/EvaluateResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Evaluate a list of rows on a benchmark.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/EvaluateRowsRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}": {
             "get": {
                 "responses": {
@@ -1101,14 +1125,7 @@
                         "content": {
                             "application/json": {
                                 "schema": {
-                                    "oneOf": [
-                                        {
-                                            "$ref": "#/components/schemas/Benchmark"
-                                        },
-                                        {
-                                            "type": "null"
-                                        }
-                                    ]
+                                    "$ref": "#/components/schemas/Benchmark"
                                 }
                             }
                         }
@@ -1129,11 +1146,12 @@
                 "tags": [
                     "Benchmarks"
                 ],
-                "description": "",
+                "description": "Get a benchmark by ID.",
                 "parameters": [
                     {
                         "name": "benchmark_id",
                         "in": "path",
+                        "description": "The ID of the benchmark to get.",
                         "required": true,
                         "schema": {
                             "type": "string"
@@ -1306,55 +1324,6 @@
                 ]
             }
         },
-        "/v1/scoring-functions/{scoring_fn_id}": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "oneOf": [
-                                        {
-                                            "$ref": "#/components/schemas/ScoringFn"
-                                        },
-                                        {
-                                            "type": "null"
-                                        }
-                                    ]
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "ScoringFunctions"
-                ],
-                "description": "",
-                "parameters": [
-                    {
-                        "name": "scoring_fn_id",
-                        "in": "path",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            }
-        },
         "/v1/shields/{identifier}": {
             "get": {
                 "responses": {
@@ -1987,6 +1956,92 @@
                 ]
             }
         },
+        "/v1/evaluation/grade": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "The evaluation job containing grader scores.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluationJob"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Evaluation"
+                ],
+                "description": "Run an grading job with generated results. Use this when you have generated results from inference in a dataset.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/GradeRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
+        "/v1/evaluation/grade_inline": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "The evaluation job containing grader scores. \"generations\" is not populated in the response.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluationResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Evaluation"
+                ],
+                "description": "Run an grading job with generated results inline.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/GradeInlineRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/health": {
             "get": {
                 "responses": {
@@ -2238,160 +2293,6 @@
                 ]
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "The status of the evaluationjob.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "oneOf": [
-                                        {
-                                            "$ref": "#/components/schemas/JobStatus"
-                                        },
-                                        {
-                                            "type": "null"
-                                        }
-                                    ]
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Get the status of a job.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    },
-                    {
-                        "name": "job_id",
-                        "in": "path",
-                        "description": "The ID of the job to get the status of.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            },
-            "delete": {
-                "responses": {
-                    "200": {
-                        "description": "OK"
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Cancel a job.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    },
-                    {
-                        "name": "job_id",
-                        "in": "path",
-                        "description": "The ID of the job to cancel.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            }
-        },
-        "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "The result of the job.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/EvaluateResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Get the result of a job.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    },
-                    {
-                        "name": "job_id",
-                        "in": "path",
-                        "description": "The ID of the job to get the result of.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            }
-        },
         "/v1/agents/{agent_id}/sessions": {
             "get": {
                 "responses": {
@@ -2464,13 +2365,20 @@
                 "tags": [
                     "Benchmarks"
                 ],
-                "description": "",
+                "description": "List all benchmarks.",
                 "parameters": []
             },
             "post": {
                 "responses": {
                     "200": {
-                        "description": "OK"
+                        "description": "OK",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/Benchmark"
+                                }
+                            }
+                        }
                     },
                     "400": {
                         "$ref": "#/components/responses/BadRequest400"
@@ -2488,7 +2396,7 @@
                 "tags": [
                     "Benchmarks"
                 ],
-                "description": "",
+                "description": "Register a new benchmark.",
                 "parameters": [],
                 "requestBody": {
                     "content": {
@@ -2619,6 +2527,113 @@
                 ]
             }
         },
+        "/v1/graders/types": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "A list of grader types and information about the types.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/ListGraderTypesResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Graders"
+                ],
+                "description": "List all grader types.",
+                "parameters": []
+            }
+        },
+        "/v1/graders": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "A list of graders.",
+                        "content": {
+                            "application/jsonl": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/Grader"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Graders"
+                ],
+                "description": "List all graders.",
+                "parameters": []
+            },
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "The registered grader.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/Grader"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Graders"
+                ],
+                "description": "Register a new grader.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/RegisterGraderRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/models": {
             "get": {
                 "responses": {
@@ -2809,73 +2824,6 @@
                 ]
             }
         },
-        "/v1/scoring-functions": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/ListScoringFunctionsResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "ScoringFunctions"
-                ],
-                "description": "",
-                "parameters": []
-            },
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "OK"
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "ScoringFunctions"
-                ],
-                "description": "",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/RegisterScoringFunctionRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/shields": {
             "get": {
                 "responses": {
@@ -3460,15 +3408,15 @@
                 }
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}/jobs": {
+        "/v1/evaluation/run": {
             "post": {
                 "responses": {
                     "200": {
-                        "description": "The job that was created to run the evaluation.",
+                        "description": "OK",
                         "content": {
                             "application/json": {
                                 "schema": {
-                                    "$ref": "#/components/schemas/Job"
+                                    "$ref": "#/components/schemas/EvaluationJob"
                                 }
                             }
                         }
@@ -3487,25 +3435,58 @@
                     }
                 },
                 "tags": [
-                    "Eval"
-                ],
-                "description": "Run an evaluation on a benchmark.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
+                    "Evaluation"
                 ],
+                "description": "Run an evaluation job.",
+                "parameters": [],
                 "requestBody": {
                     "content": {
                         "application/json": {
                             "schema": {
-                                "$ref": "#/components/schemas/RunEvalRequest"
+                                "$ref": "#/components/schemas/RunRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
+        "/v1/evaluation/run_inline": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "OK",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluationResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Evaluation"
+                ],
+                "description": "Run an evaluation job inline.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/RunInlineRequest"
                             }
                         }
                     },
@@ -3592,92 +3573,6 @@
                 }
             }
         },
-        "/v1/scoring/score": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "ScoreResponse object containing rows and aggregated results",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/ScoreResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Scoring"
-                ],
-                "description": "Score a list of rows.",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/ScoreRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
-        "/v1/scoring/score-batch": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/ScoreBatchResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Scoring"
-                ],
-                "description": "",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/ScoreBatchRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/post-training/supervised-fine-tune": {
             "post": {
                 "responses": {
@@ -6303,381 +6198,6 @@
                 "title": "EmbeddingsResponse",
                 "description": "Response containing generated embeddings."
             },
-            "AgentCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "agent",
-                        "default": "agent"
-                    },
-                    "config": {
-                        "$ref": "#/components/schemas/AgentConfig",
-                        "description": "The configuration for the agent candidate."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "config"
-                ],
-                "title": "AgentCandidate",
-                "description": "An agent candidate for evaluation."
-            },
-            "AggregationFunctionType": {
-                "type": "string",
-                "enum": [
-                    "average",
-                    "median",
-                    "categorical_count",
-                    "accuracy"
-                ],
-                "title": "AggregationFunctionType"
-            },
-            "BasicScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "basic",
-                        "default": "basic"
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "BasicScoringFnParams"
-            },
-            "BenchmarkConfig": {
-                "type": "object",
-                "properties": {
-                    "eval_candidate": {
-                        "$ref": "#/components/schemas/EvalCandidate",
-                        "description": "The candidate to evaluate."
-                    },
-                    "scoring_params": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringFnParams"
-                        },
-                        "description": "Map between scoring function id and parameters for each scoring function you want to run"
-                    },
-                    "num_examples": {
-                        "type": "integer",
-                        "description": "(Optional) The number of examples to evaluate. If not provided, all examples in the dataset will be evaluated"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "eval_candidate",
-                    "scoring_params"
-                ],
-                "title": "BenchmarkConfig",
-                "description": "A benchmark configuration for evaluation."
-            },
-            "EvalCandidate": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/ModelCandidate"
-                    },
-                    {
-                        "$ref": "#/components/schemas/AgentCandidate"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "model": "#/components/schemas/ModelCandidate",
-                        "agent": "#/components/schemas/AgentCandidate"
-                    }
-                }
-            },
-            "LLMAsJudgeScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "llm_as_judge",
-                        "default": "llm_as_judge"
-                    },
-                    "judge_model": {
-                        "type": "string"
-                    },
-                    "prompt_template": {
-                        "type": "string"
-                    },
-                    "judge_score_regexes": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "judge_model"
-                ],
-                "title": "LLMAsJudgeScoringFnParams"
-            },
-            "ModelCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "model",
-                        "default": "model"
-                    },
-                    "model": {
-                        "type": "string",
-                        "description": "The model ID to evaluate."
-                    },
-                    "sampling_params": {
-                        "$ref": "#/components/schemas/SamplingParams",
-                        "description": "The sampling parameters for the model."
-                    },
-                    "system_message": {
-                        "$ref": "#/components/schemas/SystemMessage",
-                        "description": "(Optional) The system message providing instructions or context to the model."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "model",
-                    "sampling_params"
-                ],
-                "title": "ModelCandidate",
-                "description": "A model candidate for evaluation."
-            },
-            "RegexParserScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "regex_parser",
-                        "default": "regex_parser"
-                    },
-                    "parsing_regexes": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "RegexParserScoringFnParams"
-            },
-            "ScoringFnParams": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/LLMAsJudgeScoringFnParams"
-                    },
-                    {
-                        "$ref": "#/components/schemas/RegexParserScoringFnParams"
-                    },
-                    {
-                        "$ref": "#/components/schemas/BasicScoringFnParams"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "llm_as_judge": "#/components/schemas/LLMAsJudgeScoringFnParams",
-                        "regex_parser": "#/components/schemas/RegexParserScoringFnParams",
-                        "basic": "#/components/schemas/BasicScoringFnParams"
-                    }
-                }
-            },
-            "EvaluateRowsRequest": {
-                "type": "object",
-                "properties": {
-                    "input_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The rows to evaluate."
-                    },
-                    "scoring_functions": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        },
-                        "description": "The scoring functions to use for the evaluation."
-                    },
-                    "benchmark_config": {
-                        "$ref": "#/components/schemas/BenchmarkConfig",
-                        "description": "The configuration for the benchmark."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "input_rows",
-                    "scoring_functions",
-                    "benchmark_config"
-                ],
-                "title": "EvaluateRowsRequest"
-            },
-            "EvaluateResponse": {
-                "type": "object",
-                "properties": {
-                    "generations": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The generations from the evaluation."
-                    },
-                    "scores": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "The scores from the evaluation."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "generations",
-                    "scores"
-                ],
-                "title": "EvaluateResponse",
-                "description": "The response from an evaluation."
-            },
-            "ScoringResult": {
-                "type": "object",
-                "properties": {
-                    "score_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The scoring result for each row. Each row is a map of column name to value."
-                    },
-                    "aggregated_results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "type": "null"
-                                },
-                                {
-                                    "type": "boolean"
-                                },
-                                {
-                                    "type": "number"
-                                },
-                                {
-                                    "type": "string"
-                                },
-                                {
-                                    "type": "array"
-                                },
-                                {
-                                    "type": "object"
-                                }
-                            ]
-                        },
-                        "description": "Map of metric name to aggregated value"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "score_rows",
-                    "aggregated_results"
-                ],
-                "title": "ScoringResult",
-                "description": "A scoring result for a single row."
-            },
             "Agent": {
                 "type": "object",
                 "properties": {
@@ -6783,13 +6303,15 @@
                         "default": "benchmark"
                     },
                     "dataset_id": {
-                        "type": "string"
+                        "type": "string",
+                        "description": "The ID of the dataset to used to run the benchmark."
                     },
-                    "scoring_functions": {
+                    "grader_ids": {
                         "type": "array",
                         "items": {
                             "type": "string"
-                        }
+                        },
+                        "description": "The grader ids to use for this benchmark."
                     },
                     "metadata": {
                         "type": "object",
@@ -6814,7 +6336,8 @@
                                     "type": "object"
                                 }
                             ]
-                        }
+                        },
+                        "description": "Metadata for this benchmark for additional descriptions."
                     }
                 },
                 "additionalProperties": false,
@@ -6824,7 +6347,7 @@
                     "provider_id",
                     "type",
                     "dataset_id",
-                    "scoring_functions",
+                    "grader_ids",
                     "metadata"
                 ],
                 "title": "Benchmark"
@@ -6981,6 +6504,361 @@
                 "title": "URIDataSource",
                 "description": "A dataset that can be obtained from a URI."
             },
+            "EqualityGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "equality",
+                        "default": "equality"
+                    },
+                    "equality": {
+                        "type": "object",
+                        "properties": {
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "aggregation_functions"
+                        ],
+                        "title": "BasicGraderParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "equality"
+                ],
+                "title": "EqualityGrader"
+            },
+            "FactualityGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "factuality",
+                        "default": "factuality"
+                    },
+                    "factuality": {
+                        "type": "object",
+                        "properties": {
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "aggregation_functions"
+                        ],
+                        "title": "BasicGraderParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "factuality"
+                ],
+                "title": "FactualityGrader"
+            },
+            "FaithfulnessGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "faithfulness",
+                        "default": "faithfulness"
+                    },
+                    "faithfulness": {
+                        "type": "object",
+                        "properties": {
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "aggregation_functions"
+                        ],
+                        "title": "BasicGraderParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "faithfulness"
+                ],
+                "title": "FaithfulnessGrader"
+            },
+            "Grader": {
+                "type": "object",
+                "properties": {
+                    "identifier": {
+                        "type": "string"
+                    },
+                    "provider_resource_id": {
+                        "type": "string"
+                    },
+                    "provider_id": {
+                        "type": "string"
+                    },
+                    "type": {
+                        "type": "string",
+                        "const": "grader",
+                        "default": "grader"
+                    },
+                    "grader": {
+                        "$ref": "#/components/schemas/GraderDefinition"
+                    },
+                    "description": {
+                        "type": "string"
+                    },
+                    "metadata": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "type": "null"
+                                },
+                                {
+                                    "type": "boolean"
+                                },
+                                {
+                                    "type": "number"
+                                },
+                                {
+                                    "type": "string"
+                                },
+                                {
+                                    "type": "array"
+                                },
+                                {
+                                    "type": "object"
+                                }
+                            ]
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "identifier",
+                    "provider_resource_id",
+                    "provider_id",
+                    "type",
+                    "grader",
+                    "metadata"
+                ],
+                "title": "Grader"
+            },
+            "GraderDefinition": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/LlmGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/RegexParserGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/EqualityGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/SubsetOfGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/FactualityGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/FaithfulnessGrader"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "llm": "#/components/schemas/LlmGrader",
+                        "regex_parser": "#/components/schemas/RegexParserGrader",
+                        "equality": "#/components/schemas/EqualityGrader",
+                        "subset_of": "#/components/schemas/SubsetOfGrader",
+                        "factuality": "#/components/schemas/FactualityGrader",
+                        "faithfulness": "#/components/schemas/FaithfulnessGrader"
+                    }
+                }
+            },
+            "LlmGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "llm",
+                        "default": "llm"
+                    },
+                    "llm": {
+                        "type": "object",
+                        "properties": {
+                            "model": {
+                                "type": "string"
+                            },
+                            "prompt": {
+                                "type": "string"
+                            },
+                            "score_regexes": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string"
+                                }
+                            },
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "model",
+                            "prompt",
+                            "score_regexes",
+                            "aggregation_functions"
+                        ],
+                        "title": "LlmGraderParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "llm"
+                ],
+                "title": "LlmGrader"
+            },
+            "RegexParserGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "regex_parser",
+                        "default": "regex_parser"
+                    },
+                    "regex_parser": {
+                        "type": "object",
+                        "properties": {
+                            "parsing_regexes": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string"
+                                }
+                            },
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "parsing_regexes",
+                            "aggregation_functions"
+                        ],
+                        "title": "RegexParserGraderParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "regex_parser"
+                ],
+                "title": "RegexParserGrader"
+            },
+            "SubsetOfGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "subset_of",
+                        "default": "subset_of"
+                    },
+                    "subset_of": {
+                        "type": "object",
+                        "properties": {
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "aggregation_functions"
+                        ],
+                        "title": "BasicGraderParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "subset_of"
+                ],
+                "title": "SubsetOfGrader"
+            },
             "Model": {
                 "type": "object",
                 "properties": {
@@ -7047,268 +6925,6 @@
                 ],
                 "title": "ModelType"
             },
-            "AgentTurnInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "agent_turn_input",
-                        "default": "agent_turn_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "AgentTurnInputType"
-            },
-            "ArrayType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "array",
-                        "default": "array"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ArrayType"
-            },
-            "BooleanType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "boolean",
-                        "default": "boolean"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "BooleanType"
-            },
-            "ChatCompletionInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "chat_completion_input",
-                        "default": "chat_completion_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ChatCompletionInputType"
-            },
-            "CompletionInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "completion_input",
-                        "default": "completion_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "CompletionInputType"
-            },
-            "JsonType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "json",
-                        "default": "json"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "JsonType"
-            },
-            "NumberType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "number",
-                        "default": "number"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "NumberType"
-            },
-            "ObjectType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "object",
-                        "default": "object"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ObjectType"
-            },
-            "ParamType": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/StringType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/NumberType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/BooleanType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ArrayType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ObjectType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/JsonType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/UnionType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ChatCompletionInputType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/CompletionInputType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/AgentTurnInputType"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "string": "#/components/schemas/StringType",
-                        "number": "#/components/schemas/NumberType",
-                        "boolean": "#/components/schemas/BooleanType",
-                        "array": "#/components/schemas/ArrayType",
-                        "object": "#/components/schemas/ObjectType",
-                        "json": "#/components/schemas/JsonType",
-                        "union": "#/components/schemas/UnionType",
-                        "chat_completion_input": "#/components/schemas/ChatCompletionInputType",
-                        "completion_input": "#/components/schemas/CompletionInputType",
-                        "agent_turn_input": "#/components/schemas/AgentTurnInputType"
-                    }
-                }
-            },
-            "ScoringFn": {
-                "type": "object",
-                "properties": {
-                    "identifier": {
-                        "type": "string"
-                    },
-                    "provider_resource_id": {
-                        "type": "string"
-                    },
-                    "provider_id": {
-                        "type": "string"
-                    },
-                    "type": {
-                        "type": "string",
-                        "const": "scoring_function",
-                        "default": "scoring_function"
-                    },
-                    "description": {
-                        "type": "string"
-                    },
-                    "metadata": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "type": "null"
-                                },
-                                {
-                                    "type": "boolean"
-                                },
-                                {
-                                    "type": "number"
-                                },
-                                {
-                                    "type": "string"
-                                },
-                                {
-                                    "type": "array"
-                                },
-                                {
-                                    "type": "object"
-                                }
-                            ]
-                        }
-                    },
-                    "return_type": {
-                        "$ref": "#/components/schemas/ParamType"
-                    },
-                    "params": {
-                        "$ref": "#/components/schemas/ScoringFnParams"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "identifier",
-                    "provider_resource_id",
-                    "provider_id",
-                    "type",
-                    "metadata",
-                    "return_type"
-                ],
-                "title": "ScoringFn"
-            },
-            "StringType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "string",
-                        "default": "string"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "StringType"
-            },
-            "UnionType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "union",
-                        "default": "union"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "UnionType"
-            },
             "Shield": {
                 "type": "object",
                 "properties": {
@@ -7707,16 +7323,6 @@
                 "title": "PostTrainingJobArtifactsResponse",
                 "description": "Artifacts of a finetuning job."
             },
-            "JobStatus": {
-                "type": "string",
-                "enum": [
-                    "completed",
-                    "in_progress",
-                    "failed",
-                    "scheduled"
-                ],
-                "title": "JobStatus"
-            },
             "PostTrainingJobStatusResponse": {
                 "type": "object",
                 "properties": {
@@ -7724,7 +7330,15 @@
                         "type": "string"
                     },
                     "status": {
-                        "$ref": "#/components/schemas/JobStatus"
+                        "type": "string",
+                        "enum": [
+                            "completed",
+                            "in_progress",
+                            "failed",
+                            "scheduled",
+                            "cancelled"
+                        ],
+                        "title": "JobStatus"
                     },
                     "scheduled_at": {
                         "type": "string",
@@ -7840,6 +7454,363 @@
                 ],
                 "title": "VectorDB"
             },
+            "BenchmarkTask": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "benchmark_id",
+                        "default": "benchmark_id"
+                    },
+                    "benchmark_id": {
+                        "type": "string"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "benchmark_id"
+                ],
+                "title": "BenchmarkTask"
+            },
+            "DataSourceGraderTask": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "data_source_grader",
+                        "default": "data_source_grader"
+                    },
+                    "data_source": {
+                        "$ref": "#/components/schemas/DataSource"
+                    },
+                    "grader_ids": {
+                        "type": "array",
+                        "items": {
+                            "type": "string"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "data_source",
+                    "grader_ids"
+                ],
+                "title": "DataSourceGraderTask"
+            },
+            "DatasetGraderTask": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "dataset_grader",
+                        "default": "dataset_grader"
+                    },
+                    "dataset_id": {
+                        "type": "string"
+                    },
+                    "grader_ids": {
+                        "type": "array",
+                        "items": {
+                            "type": "string"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "dataset_id",
+                    "grader_ids"
+                ],
+                "title": "DatasetGraderTask"
+            },
+            "EvaluationTask": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/BenchmarkTask"
+                    },
+                    {
+                        "$ref": "#/components/schemas/DatasetGraderTask"
+                    },
+                    {
+                        "$ref": "#/components/schemas/DataSourceGraderTask"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "benchmark_id": "#/components/schemas/BenchmarkTask",
+                        "dataset_grader": "#/components/schemas/DatasetGraderTask",
+                        "data_source_grader": "#/components/schemas/DataSourceGraderTask"
+                    }
+                }
+            },
+            "GradeRequest": {
+                "type": "object",
+                "properties": {
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "task"
+                ],
+                "title": "GradeRequest"
+            },
+            "AgentCandidate": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "agent",
+                        "default": "agent"
+                    },
+                    "config": {
+                        "$ref": "#/components/schemas/AgentConfig",
+                        "description": "The configuration for the agent candidate."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "config"
+                ],
+                "title": "AgentCandidate",
+                "description": "An agent candidate for evaluation."
+            },
+            "EvaluationCandidate": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/ModelCandidate"
+                    },
+                    {
+                        "$ref": "#/components/schemas/AgentCandidate"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "model": "#/components/schemas/ModelCandidate",
+                        "agent": "#/components/schemas/AgentCandidate"
+                    }
+                }
+            },
+            "EvaluationJob": {
+                "type": "object",
+                "properties": {
+                    "id": {
+                        "type": "string",
+                        "description": "The ID of the job."
+                    },
+                    "status": {
+                        "type": "string",
+                        "enum": [
+                            "completed",
+                            "in_progress",
+                            "failed",
+                            "scheduled",
+                            "cancelled"
+                        ],
+                        "description": "The status of the job."
+                    },
+                    "created_at": {
+                        "type": "string",
+                        "format": "date-time",
+                        "description": "The time the job was created."
+                    },
+                    "ended_at": {
+                        "type": "string",
+                        "format": "date-time",
+                        "description": "The time the job ended."
+                    },
+                    "error": {
+                        "type": "string",
+                        "description": "If status of the job is failed, this will contain the error message."
+                    },
+                    "type": {
+                        "type": "string",
+                        "const": "evaluation",
+                        "default": "evaluation"
+                    },
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask"
+                    },
+                    "candidate": {
+                        "$ref": "#/components/schemas/EvaluationCandidate"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "id",
+                    "status",
+                    "created_at",
+                    "type",
+                    "task",
+                    "candidate"
+                ],
+                "title": "EvaluationJob"
+            },
+            "ModelCandidate": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "model",
+                        "default": "model"
+                    },
+                    "model_id": {
+                        "type": "string"
+                    },
+                    "sampling_params": {
+                        "$ref": "#/components/schemas/SamplingParams",
+                        "description": "The sampling parameters for the model."
+                    },
+                    "system_message": {
+                        "$ref": "#/components/schemas/SystemMessage",
+                        "description": "(Optional) The system message providing instructions or context to the model."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "model_id",
+                    "sampling_params"
+                ],
+                "title": "ModelCandidate",
+                "description": "A model candidate for evaluation."
+            },
+            "GradeInlineRequest": {
+                "type": "object",
+                "properties": {
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "task"
+                ],
+                "title": "GradeInlineRequest"
+            },
+            "EvaluationResponse": {
+                "type": "object",
+                "properties": {
+                    "generations": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The generations in rows for the evaluation."
+                    },
+                    "scores": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "$ref": "#/components/schemas/ScoringResult"
+                        },
+                        "description": "The scores for the evaluation. Map of grader id to ScoringResult."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "generations",
+                    "scores"
+                ],
+                "title": "EvaluationResponse",
+                "description": "A response to an inline evaluation."
+            },
+            "ScoringResult": {
+                "type": "object",
+                "properties": {
+                    "scores": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The scoring result for each row. Each row is a map of grader column name to value."
+                    },
+                    "metrics": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "type": "null"
+                                },
+                                {
+                                    "type": "boolean"
+                                },
+                                {
+                                    "type": "number"
+                                },
+                                {
+                                    "type": "string"
+                                },
+                                {
+                                    "type": "array"
+                                },
+                                {
+                                    "type": "object"
+                                }
+                            ]
+                        },
+                        "description": "Map of metric name to aggregated value."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "scores",
+                    "metrics"
+                ],
+                "title": "ScoringResult",
+                "description": "A scoring result for a single row."
+            },
             "HealthInfo": {
                 "type": "object",
                 "properties": {
@@ -8285,6 +8256,65 @@
                 "title": "ListFileResponse",
                 "description": "Response representing a list of file entries."
             },
+            "GraderTypeInfo": {
+                "type": "object",
+                "properties": {
+                    "grader_type": {
+                        "type": "string",
+                        "enum": [
+                            "llm",
+                            "regex_parser",
+                            "equality",
+                            "subset_of",
+                            "factuality",
+                            "faithfulness"
+                        ],
+                        "title": "GraderType",
+                        "description": "A type of grader. Each type is a criteria for evaluating answers."
+                    },
+                    "description": {
+                        "type": "string",
+                        "description": "A description of the grader type. - E.g. Write your custom judge prompt to score the answer."
+                    },
+                    "supported_dataset_purposes": {
+                        "type": "array",
+                        "items": {
+                            "type": "string",
+                            "enum": [
+                                "post-training/messages",
+                                "eval/question-answer",
+                                "eval/messages-answer"
+                            ],
+                            "title": "DatasetPurpose",
+                            "description": "Purpose of the dataset. Each purpose has a required input data schema."
+                        },
+                        "description": "The purposes that this grader can be used for."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "grader_type",
+                    "description",
+                    "supported_dataset_purposes"
+                ],
+                "title": "GraderTypeInfo"
+            },
+            "ListGraderTypesResponse": {
+                "type": "object",
+                "properties": {
+                    "data": {
+                        "type": "array",
+                        "items": {
+                            "$ref": "#/components/schemas/GraderTypeInfo"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "data"
+                ],
+                "title": "ListGraderTypesResponse"
+            },
             "ListModelsResponse": {
                 "type": "object",
                 "properties": {
@@ -8357,22 +8387,6 @@
                 ],
                 "title": "ListRoutesResponse"
             },
-            "ListScoringFunctionsResponse": {
-                "type": "object",
-                "properties": {
-                    "data": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/ScoringFn"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "data"
-                ],
-                "title": "ListScoringFunctionsResponse"
-            },
             "ListShieldsResponse": {
                 "type": "object",
                 "properties": {
@@ -9363,23 +9377,20 @@
             "RegisterBenchmarkRequest": {
                 "type": "object",
                 "properties": {
-                    "benchmark_id": {
-                        "type": "string"
-                    },
                     "dataset_id": {
-                        "type": "string"
+                        "type": "string",
+                        "description": "The ID of the dataset to used to run the benchmark."
                     },
-                    "scoring_functions": {
+                    "grader_ids": {
                         "type": "array",
                         "items": {
                             "type": "string"
-                        }
+                        },
+                        "description": "List of grader ids to use for this benchmark."
                     },
-                    "provider_benchmark_id": {
-                        "type": "string"
-                    },
-                    "provider_id": {
-                        "type": "string"
+                    "benchmark_id": {
+                        "type": "string",
+                        "description": "(Optional) The ID of the benchmark to register. If not provided, an ID will be generated."
                     },
                     "metadata": {
                         "type": "object",
@@ -9404,14 +9415,14 @@
                                     "type": "object"
                                 }
                             ]
-                        }
+                        },
+                        "description": "(Optional) Metadata for this benchmark for additional descriptions."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "benchmark_id",
                     "dataset_id",
-                    "scoring_functions"
+                    "grader_ids"
                 ],
                 "title": "RegisterBenchmarkRequest"
             },
@@ -9469,6 +9480,50 @@
                 ],
                 "title": "RegisterDatasetRequest"
             },
+            "RegisterGraderRequest": {
+                "type": "object",
+                "properties": {
+                    "grader": {
+                        "$ref": "#/components/schemas/GraderDefinition",
+                        "description": "The grader definition, E.g. - { \"type\": \"llm\", \"llm\": { \"model\": \"llama-405b\", \"prompt\": \"You are a judge. Score the answer based on the question. {question} {answer}\", } }"
+                    },
+                    "grader_id": {
+                        "type": "string",
+                        "description": "(Optional) The ID of the grader. If not provided, a random ID will be generated."
+                    },
+                    "metadata": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "type": "null"
+                                },
+                                {
+                                    "type": "boolean"
+                                },
+                                {
+                                    "type": "number"
+                                },
+                                {
+                                    "type": "string"
+                                },
+                                {
+                                    "type": "array"
+                                },
+                                {
+                                    "type": "object"
+                                }
+                            ]
+                        },
+                        "description": "(Optional) Any additional metadata for this grader. - E.g. { \"description\": \"A grader that scores the answer based on the question.\", }"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "grader"
+                ],
+                "title": "RegisterGraderRequest"
+            },
             "RegisterModelRequest": {
                 "type": "object",
                 "properties": {
@@ -9516,36 +9571,6 @@
                 ],
                 "title": "RegisterModelRequest"
             },
-            "RegisterScoringFunctionRequest": {
-                "type": "object",
-                "properties": {
-                    "scoring_fn_id": {
-                        "type": "string"
-                    },
-                    "description": {
-                        "type": "string"
-                    },
-                    "return_type": {
-                        "$ref": "#/components/schemas/ParamType"
-                    },
-                    "provider_scoring_fn_id": {
-                        "type": "string"
-                    },
-                    "provider_id": {
-                        "type": "string"
-                    },
-                    "params": {
-                        "$ref": "#/components/schemas/ScoringFnParams"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "scoring_fn_id",
-                    "description",
-                    "return_type"
-                ],
-                "title": "RegisterScoringFunctionRequest"
-            },
             "RegisterShieldRequest": {
                 "type": "object",
                 "properties": {
@@ -9682,32 +9707,43 @@
                 ],
                 "title": "ResumeAgentTurnRequest"
             },
-            "RunEvalRequest": {
+            "RunRequest": {
                 "type": "object",
                 "properties": {
-                    "benchmark_config": {
-                        "$ref": "#/components/schemas/BenchmarkConfig",
-                        "description": "The configuration for the benchmark."
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    },
+                    "candidate": {
+                        "$ref": "#/components/schemas/EvaluationCandidate",
+                        "description": "The candidate to evaluate."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "benchmark_config"
+                    "task",
+                    "candidate"
                 ],
-                "title": "RunEvalRequest"
+                "title": "RunRequest"
             },
-            "Job": {
+            "RunInlineRequest": {
                 "type": "object",
                 "properties": {
-                    "job_id": {
-                        "type": "string"
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    },
+                    "candidate": {
+                        "$ref": "#/components/schemas/EvaluationCandidate",
+                        "description": "The candidate to evaluate."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "job_id"
+                    "task",
+                    "candidate"
                 ],
-                "title": "Job"
+                "title": "RunInlineRequest"
             },
             "RunShieldRequest": {
                 "type": "object",
@@ -9795,128 +9831,6 @@
                 ],
                 "title": "SaveSpansToDatasetRequest"
             },
-            "ScoreRequest": {
-                "type": "object",
-                "properties": {
-                    "input_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The rows to score."
-                    },
-                    "scoring_functions": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "$ref": "#/components/schemas/ScoringFnParams"
-                                },
-                                {
-                                    "type": "null"
-                                }
-                            ]
-                        },
-                        "description": "The scoring functions to use for the scoring."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "input_rows",
-                    "scoring_functions"
-                ],
-                "title": "ScoreRequest"
-            },
-            "ScoreResponse": {
-                "type": "object",
-                "properties": {
-                    "results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "A map of scoring function name to ScoringResult."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "results"
-                ],
-                "title": "ScoreResponse",
-                "description": "The response from scoring."
-            },
-            "ScoreBatchRequest": {
-                "type": "object",
-                "properties": {
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "scoring_functions": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "$ref": "#/components/schemas/ScoringFnParams"
-                                },
-                                {
-                                    "type": "null"
-                                }
-                            ]
-                        }
-                    },
-                    "save_results_dataset": {
-                        "type": "boolean"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "dataset_id",
-                    "scoring_functions",
-                    "save_results_dataset"
-                ],
-                "title": "ScoreBatchRequest"
-            },
-            "ScoreBatchResponse": {
-                "type": "object",
-                "properties": {
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "results"
-                ],
-                "title": "ScoreBatchResponse"
-            },
             "AlgorithmConfig": {
                 "oneOf": [
                     {
@@ -10280,12 +10194,14 @@
             "name": "Datasets"
         },
         {
-            "name": "Eval",
-            "x-displayName": "Llama Stack Evaluation API for running evaluations on model and agent candidates."
+            "name": "Evaluation"
         },
         {
             "name": "Files"
         },
+        {
+            "name": "Graders"
+        },
         {
             "name": "Inference",
             "description": "This API provides the raw interface to the underlying models. Two kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.",
@@ -10307,12 +10223,6 @@
         {
             "name": "Safety"
         },
-        {
-            "name": "Scoring"
-        },
-        {
-            "name": "ScoringFunctions"
-        },
         {
             "name": "Shields"
         },
@@ -10344,16 +10254,15 @@
                 "Benchmarks",
                 "DatasetIO",
                 "Datasets",
-                "Eval",
+                "Evaluation",
                 "Files",
+                "Graders",
                 "Inference",
                 "Inspect",
                 "Models",
                 "PostTraining (Coming Soon)",
                 "Providers",
                 "Safety",
-                "Scoring",
-                "ScoringFunctions",
                 "Shields",
                 "SyntheticDataGeneration (Coming Soon)",
                 "Telemetry",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index a3d4dbcc9..db92e7e6a 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -589,6 +589,59 @@ paths:
           required: true
           schema:
             type: string
+  /v1/graders/{grader_id}:
+    get:
+      responses:
+        '200':
+          description: The grader.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/Grader'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Graders
+      description: Get a grader by ID.
+      parameters:
+        - name: grader_id
+          in: path
+          description: The ID of the grader.
+          required: true
+          schema:
+            type: string
+    delete:
+      responses:
+        '200':
+          description: OK
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Graders
+      description: Delete a grader by ID.
+      parameters:
+        - name: grader_id
+          in: path
+          description: The ID of the grader.
+          required: true
+          schema:
+            type: string
   /v1/inference/embeddings:
     post:
       responses:
@@ -622,43 +675,6 @@ paths:
             schema:
               $ref: '#/components/schemas/EmbeddingsRequest'
         required: true
-  /v1/eval/benchmarks/{benchmark_id}/evaluations:
-    post:
-      responses:
-        '200':
-          description: >-
-            EvaluateResponse object containing generations and scores
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluateResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Evaluate a list of rows on a benchmark.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/EvaluateRowsRequest'
-        required: true
   /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}:
     get:
       responses:
@@ -757,9 +773,7 @@ paths:
           content:
             application/json:
               schema:
-                oneOf:
-                  - $ref: '#/components/schemas/Benchmark'
-                  - type: 'null'
+                $ref: '#/components/schemas/Benchmark'
         '400':
           $ref: '#/components/responses/BadRequest400'
         '429':
@@ -772,10 +786,11 @@ paths:
           $ref: '#/components/responses/DefaultError'
       tags:
         - Benchmarks
-      description: ''
+      description: Get a benchmark by ID.
       parameters:
         - name: benchmark_id
           in: path
+          description: The ID of the benchmark to get.
           required: true
           schema:
             type: string
@@ -885,36 +900,6 @@ paths:
           required: true
           schema:
             type: string
-  /v1/scoring-functions/{scoring_fn_id}:
-    get:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                oneOf:
-                  - $ref: '#/components/schemas/ScoringFn'
-                  - type: 'null'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - ScoringFunctions
-      description: ''
-      parameters:
-        - name: scoring_fn_id
-          in: path
-          required: true
-          schema:
-            type: string
   /v1/shields/{identifier}:
     get:
       responses:
@@ -1326,6 +1311,70 @@ paths:
           required: true
           schema:
             type: string
+  /v1/evaluation/grade:
+    post:
+      responses:
+        '200':
+          description: >-
+            The evaluation job containing grader scores.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluationJob'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Evaluation
+      description: >-
+        Run an grading job with generated results. Use this when you have generated
+        results from inference in a dataset.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/GradeRequest'
+        required: true
+  /v1/evaluation/grade_inline:
+    post:
+      responses:
+        '200':
+          description: >-
+            The evaluation job containing grader scores. "generations" is not populated
+            in the response.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluationResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Evaluation
+      description: >-
+        Run an grading job with generated results inline.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/GradeInlineRequest'
+        required: true
   /v1/health:
     get:
       responses:
@@ -1501,111 +1550,6 @@ paths:
           required: false
           schema:
             type: integer
-  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}:
-    get:
-      responses:
-        '200':
-          description: The status of the evaluationjob.
-          content:
-            application/json:
-              schema:
-                oneOf:
-                  - $ref: '#/components/schemas/JobStatus'
-                  - type: 'null'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Get the status of a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to get the status of.
-          required: true
-          schema:
-            type: string
-    delete:
-      responses:
-        '200':
-          description: OK
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Cancel a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to cancel.
-          required: true
-          schema:
-            type: string
-  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result:
-    get:
-      responses:
-        '200':
-          description: The result of the job.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluateResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Get the result of a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to get the result of.
-          required: true
-          schema:
-            type: string
   /v1/agents/{agent_id}/sessions:
     get:
       responses:
@@ -1657,12 +1601,16 @@ paths:
           $ref: '#/components/responses/DefaultError'
       tags:
         - Benchmarks
-      description: ''
+      description: List all benchmarks.
       parameters: []
     post:
       responses:
         '200':
           description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/Benchmark'
         '400':
           $ref: '#/components/responses/BadRequest400'
         '429':
@@ -1675,7 +1623,7 @@ paths:
           $ref: '#/components/responses/DefaultError'
       tags:
         - Benchmarks
-      description: ''
+      description: Register a new benchmark.
       parameters: []
       requestBody:
         content:
@@ -1763,6 +1711,81 @@ paths:
           required: true
           schema:
             type: string
+  /v1/graders/types:
+    get:
+      responses:
+        '200':
+          description: >-
+            A list of grader types and information about the types.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/ListGraderTypesResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Graders
+      description: List all grader types.
+      parameters: []
+  /v1/graders:
+    get:
+      responses:
+        '200':
+          description: A list of graders.
+          content:
+            application/jsonl:
+              schema:
+                $ref: '#/components/schemas/Grader'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Graders
+      description: List all graders.
+      parameters: []
+    post:
+      responses:
+        '200':
+          description: The registered grader.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/Grader'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Graders
+      description: Register a new grader.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/RegisterGraderRequest'
+        required: true
   /v1/models:
     get:
       responses:
@@ -1893,53 +1916,6 @@ paths:
           required: false
           schema:
             $ref: '#/components/schemas/URL'
-  /v1/scoring-functions:
-    get:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/ListScoringFunctionsResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - ScoringFunctions
-      description: ''
-      parameters: []
-    post:
-      responses:
-        '200':
-          description: OK
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - ScoringFunctions
-      description: ''
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/RegisterScoringFunctionRequest'
-        required: true
   /v1/shields:
     get:
       responses:
@@ -2345,16 +2321,15 @@ paths:
             schema:
               $ref: '#/components/schemas/ResumeAgentTurnRequest'
         required: true
-  /v1/eval/benchmarks/{benchmark_id}/jobs:
+  /v1/evaluation/run:
     post:
       responses:
         '200':
-          description: >-
-            The job that was created to run the evaluation.
+          description: OK
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/Job'
+                $ref: '#/components/schemas/EvaluationJob'
         '400':
           $ref: '#/components/responses/BadRequest400'
         '429':
@@ -2366,21 +2341,43 @@ paths:
         default:
           $ref: '#/components/responses/DefaultError'
       tags:
-        - Eval
-      description: Run an evaluation on a benchmark.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
+        - Evaluation
+      description: Run an evaluation job.
+      parameters: []
       requestBody:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/RunEvalRequest'
+              $ref: '#/components/schemas/RunRequest'
+        required: true
+  /v1/evaluation/run_inline:
+    post:
+      responses:
+        '200':
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluationResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Evaluation
+      description: Run an evaluation job inline.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/RunInlineRequest'
         required: true
   /v1/safety/run-shield:
     post:
@@ -2436,65 +2433,6 @@ paths:
             schema:
               $ref: '#/components/schemas/SaveSpansToDatasetRequest'
         required: true
-  /v1/scoring/score:
-    post:
-      responses:
-        '200':
-          description: >-
-            ScoreResponse object containing rows and aggregated results
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/ScoreResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Scoring
-      description: Score a list of rows.
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/ScoreRequest'
-        required: true
-  /v1/scoring/score-batch:
-    post:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/ScoreBatchResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Scoring
-      description: ''
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/ScoreBatchRequest'
-        required: true
   /v1/post-training/supervised-fine-tune:
     post:
       responses:
@@ -4384,251 +4322,6 @@ components:
       title: EmbeddingsResponse
       description: >-
         Response containing generated embeddings.
-    AgentCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: agent
-          default: agent
-        config:
-          $ref: '#/components/schemas/AgentConfig'
-          description: >-
-            The configuration for the agent candidate.
-      additionalProperties: false
-      required:
-        - type
-        - config
-      title: AgentCandidate
-      description: An agent candidate for evaluation.
-    AggregationFunctionType:
-      type: string
-      enum:
-        - average
-        - median
-        - categorical_count
-        - accuracy
-      title: AggregationFunctionType
-    BasicScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: basic
-          default: basic
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-      title: BasicScoringFnParams
-    BenchmarkConfig:
-      type: object
-      properties:
-        eval_candidate:
-          $ref: '#/components/schemas/EvalCandidate'
-          description: The candidate to evaluate.
-        scoring_params:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringFnParams'
-          description: >-
-            Map between scoring function id and parameters for each scoring function
-            you want to run
-        num_examples:
-          type: integer
-          description: >-
-            (Optional) The number of examples to evaluate. If not provided, all examples
-            in the dataset will be evaluated
-      additionalProperties: false
-      required:
-        - eval_candidate
-        - scoring_params
-      title: BenchmarkConfig
-      description: >-
-        A benchmark configuration for evaluation.
-    EvalCandidate:
-      oneOf:
-        - $ref: '#/components/schemas/ModelCandidate'
-        - $ref: '#/components/schemas/AgentCandidate'
-      discriminator:
-        propertyName: type
-        mapping:
-          model: '#/components/schemas/ModelCandidate'
-          agent: '#/components/schemas/AgentCandidate'
-    LLMAsJudgeScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: llm_as_judge
-          default: llm_as_judge
-        judge_model:
-          type: string
-        prompt_template:
-          type: string
-        judge_score_regexes:
-          type: array
-          items:
-            type: string
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-        - judge_model
-      title: LLMAsJudgeScoringFnParams
-    ModelCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: model
-          default: model
-        model:
-          type: string
-          description: The model ID to evaluate.
-        sampling_params:
-          $ref: '#/components/schemas/SamplingParams'
-          description: The sampling parameters for the model.
-        system_message:
-          $ref: '#/components/schemas/SystemMessage'
-          description: >-
-            (Optional) The system message providing instructions or context to the
-            model.
-      additionalProperties: false
-      required:
-        - type
-        - model
-        - sampling_params
-      title: ModelCandidate
-      description: A model candidate for evaluation.
-    RegexParserScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: regex_parser
-          default: regex_parser
-        parsing_regexes:
-          type: array
-          items:
-            type: string
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-      title: RegexParserScoringFnParams
-    ScoringFnParams:
-      oneOf:
-        - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams'
-        - $ref: '#/components/schemas/RegexParserScoringFnParams'
-        - $ref: '#/components/schemas/BasicScoringFnParams'
-      discriminator:
-        propertyName: type
-        mapping:
-          llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams'
-          regex_parser: '#/components/schemas/RegexParserScoringFnParams'
-          basic: '#/components/schemas/BasicScoringFnParams'
-    EvaluateRowsRequest:
-      type: object
-      properties:
-        input_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The rows to evaluate.
-        scoring_functions:
-          type: array
-          items:
-            type: string
-          description: >-
-            The scoring functions to use for the evaluation.
-        benchmark_config:
-          $ref: '#/components/schemas/BenchmarkConfig'
-          description: The configuration for the benchmark.
-      additionalProperties: false
-      required:
-        - input_rows
-        - scoring_functions
-        - benchmark_config
-      title: EvaluateRowsRequest
-    EvaluateResponse:
-      type: object
-      properties:
-        generations:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The generations from the evaluation.
-        scores:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: The scores from the evaluation.
-      additionalProperties: false
-      required:
-        - generations
-        - scores
-      title: EvaluateResponse
-      description: The response from an evaluation.
-    ScoringResult:
-      type: object
-      properties:
-        score_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: >-
-            The scoring result for each row. Each row is a map of column name to value.
-        aggregated_results:
-          type: object
-          additionalProperties:
-            oneOf:
-              - type: 'null'
-              - type: boolean
-              - type: number
-              - type: string
-              - type: array
-              - type: object
-          description: Map of metric name to aggregated value
-      additionalProperties: false
-      required:
-        - score_rows
-        - aggregated_results
-      title: ScoringResult
-      description: A scoring result for a single row.
     Agent:
       type: object
       properties:
@@ -4703,10 +4396,14 @@ components:
           default: benchmark
         dataset_id:
           type: string
-        scoring_functions:
+          description: >-
+            The ID of the dataset to used to run the benchmark.
+        grader_ids:
           type: array
           items:
             type: string
+          description: >-
+            The grader ids to use for this benchmark.
         metadata:
           type: object
           additionalProperties:
@@ -4717,6 +4414,8 @@ components:
               - type: string
               - type: array
               - type: object
+          description: >-
+            Metadata for this benchmark for additional descriptions.
       additionalProperties: false
       required:
         - identifier
@@ -4724,7 +4423,7 @@ components:
         - provider_id
         - type
         - dataset_id
-        - scoring_functions
+        - grader_ids
         - metadata
       title: Benchmark
     DataSource:
@@ -4828,6 +4527,255 @@ components:
       title: URIDataSource
       description: >-
         A dataset that can be obtained from a URI.
+    EqualityGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: equality
+          default: equality
+        equality:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - equality
+      title: EqualityGrader
+    FactualityGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: factuality
+          default: factuality
+        factuality:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - factuality
+      title: FactualityGrader
+    FaithfulnessGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: faithfulness
+          default: faithfulness
+        faithfulness:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - faithfulness
+      title: FaithfulnessGrader
+    Grader:
+      type: object
+      properties:
+        identifier:
+          type: string
+        provider_resource_id:
+          type: string
+        provider_id:
+          type: string
+        type:
+          type: string
+          const: grader
+          default: grader
+        grader:
+          $ref: '#/components/schemas/GraderDefinition'
+        description:
+          type: string
+        metadata:
+          type: object
+          additionalProperties:
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+      additionalProperties: false
+      required:
+        - identifier
+        - provider_resource_id
+        - provider_id
+        - type
+        - grader
+        - metadata
+      title: Grader
+    GraderDefinition:
+      oneOf:
+        - $ref: '#/components/schemas/LlmGrader'
+        - $ref: '#/components/schemas/RegexParserGrader'
+        - $ref: '#/components/schemas/EqualityGrader'
+        - $ref: '#/components/schemas/SubsetOfGrader'
+        - $ref: '#/components/schemas/FactualityGrader'
+        - $ref: '#/components/schemas/FaithfulnessGrader'
+      discriminator:
+        propertyName: type
+        mapping:
+          llm: '#/components/schemas/LlmGrader'
+          regex_parser: '#/components/schemas/RegexParserGrader'
+          equality: '#/components/schemas/EqualityGrader'
+          subset_of: '#/components/schemas/SubsetOfGrader'
+          factuality: '#/components/schemas/FactualityGrader'
+          faithfulness: '#/components/schemas/FaithfulnessGrader'
+    LlmGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: llm
+          default: llm
+        llm:
+          type: object
+          properties:
+            model:
+              type: string
+            prompt:
+              type: string
+            score_regexes:
+              type: array
+              items:
+                type: string
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - model
+            - prompt
+            - score_regexes
+            - aggregation_functions
+          title: LlmGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - llm
+      title: LlmGrader
+    RegexParserGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: regex_parser
+          default: regex_parser
+        regex_parser:
+          type: object
+          properties:
+            parsing_regexes:
+              type: array
+              items:
+                type: string
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - parsing_regexes
+            - aggregation_functions
+          title: RegexParserGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - regex_parser
+      title: RegexParserGrader
+    SubsetOfGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: subset_of
+          default: subset_of
+        subset_of:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - subset_of
+      title: SubsetOfGrader
     Model:
       type: object
       properties:
@@ -4869,179 +4817,6 @@ components:
         - llm
         - embedding
       title: ModelType
-    AgentTurnInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: agent_turn_input
-          default: agent_turn_input
-      additionalProperties: false
-      required:
-        - type
-      title: AgentTurnInputType
-    ArrayType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: array
-          default: array
-      additionalProperties: false
-      required:
-        - type
-      title: ArrayType
-    BooleanType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: boolean
-          default: boolean
-      additionalProperties: false
-      required:
-        - type
-      title: BooleanType
-    ChatCompletionInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: chat_completion_input
-          default: chat_completion_input
-      additionalProperties: false
-      required:
-        - type
-      title: ChatCompletionInputType
-    CompletionInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: completion_input
-          default: completion_input
-      additionalProperties: false
-      required:
-        - type
-      title: CompletionInputType
-    JsonType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: json
-          default: json
-      additionalProperties: false
-      required:
-        - type
-      title: JsonType
-    NumberType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: number
-          default: number
-      additionalProperties: false
-      required:
-        - type
-      title: NumberType
-    ObjectType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: object
-          default: object
-      additionalProperties: false
-      required:
-        - type
-      title: ObjectType
-    ParamType:
-      oneOf:
-        - $ref: '#/components/schemas/StringType'
-        - $ref: '#/components/schemas/NumberType'
-        - $ref: '#/components/schemas/BooleanType'
-        - $ref: '#/components/schemas/ArrayType'
-        - $ref: '#/components/schemas/ObjectType'
-        - $ref: '#/components/schemas/JsonType'
-        - $ref: '#/components/schemas/UnionType'
-        - $ref: '#/components/schemas/ChatCompletionInputType'
-        - $ref: '#/components/schemas/CompletionInputType'
-        - $ref: '#/components/schemas/AgentTurnInputType'
-      discriminator:
-        propertyName: type
-        mapping:
-          string: '#/components/schemas/StringType'
-          number: '#/components/schemas/NumberType'
-          boolean: '#/components/schemas/BooleanType'
-          array: '#/components/schemas/ArrayType'
-          object: '#/components/schemas/ObjectType'
-          json: '#/components/schemas/JsonType'
-          union: '#/components/schemas/UnionType'
-          chat_completion_input: '#/components/schemas/ChatCompletionInputType'
-          completion_input: '#/components/schemas/CompletionInputType'
-          agent_turn_input: '#/components/schemas/AgentTurnInputType'
-    ScoringFn:
-      type: object
-      properties:
-        identifier:
-          type: string
-        provider_resource_id:
-          type: string
-        provider_id:
-          type: string
-        type:
-          type: string
-          const: scoring_function
-          default: scoring_function
-        description:
-          type: string
-        metadata:
-          type: object
-          additionalProperties:
-            oneOf:
-              - type: 'null'
-              - type: boolean
-              - type: number
-              - type: string
-              - type: array
-              - type: object
-        return_type:
-          $ref: '#/components/schemas/ParamType'
-        params:
-          $ref: '#/components/schemas/ScoringFnParams'
-      additionalProperties: false
-      required:
-        - identifier
-        - provider_resource_id
-        - provider_id
-        - type
-        - metadata
-        - return_type
-      title: ScoringFn
-    StringType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: string
-          default: string
-      additionalProperties: false
-      required:
-        - type
-      title: StringType
-    UnionType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: union
-          default: union
-      additionalProperties: false
-      required:
-        - type
-      title: UnionType
     Shield:
       type: object
       properties:
@@ -5292,21 +5067,20 @@ components:
         - checkpoints
       title: PostTrainingJobArtifactsResponse
       description: Artifacts of a finetuning job.
-    JobStatus:
-      type: string
-      enum:
-        - completed
-        - in_progress
-        - failed
-        - scheduled
-      title: JobStatus
     PostTrainingJobStatusResponse:
       type: object
       properties:
         job_uuid:
           type: string
         status:
-          $ref: '#/components/schemas/JobStatus'
+          type: string
+          enum:
+            - completed
+            - in_progress
+            - failed
+            - scheduled
+            - cancelled
+          title: JobStatus
         scheduled_at:
           type: string
           format: date-time
@@ -5381,6 +5155,255 @@ components:
         - embedding_model
         - embedding_dimension
       title: VectorDB
+    BenchmarkTask:
+      type: object
+      properties:
+        type:
+          type: string
+          const: benchmark_id
+          default: benchmark_id
+        benchmark_id:
+          type: string
+      additionalProperties: false
+      required:
+        - type
+        - benchmark_id
+      title: BenchmarkTask
+    DataSourceGraderTask:
+      type: object
+      properties:
+        type:
+          type: string
+          const: data_source_grader
+          default: data_source_grader
+        data_source:
+          $ref: '#/components/schemas/DataSource'
+        grader_ids:
+          type: array
+          items:
+            type: string
+      additionalProperties: false
+      required:
+        - type
+        - data_source
+        - grader_ids
+      title: DataSourceGraderTask
+    DatasetGraderTask:
+      type: object
+      properties:
+        type:
+          type: string
+          const: dataset_grader
+          default: dataset_grader
+        dataset_id:
+          type: string
+        grader_ids:
+          type: array
+          items:
+            type: string
+      additionalProperties: false
+      required:
+        - type
+        - dataset_id
+        - grader_ids
+      title: DatasetGraderTask
+    EvaluationTask:
+      oneOf:
+        - $ref: '#/components/schemas/BenchmarkTask'
+        - $ref: '#/components/schemas/DatasetGraderTask'
+        - $ref: '#/components/schemas/DataSourceGraderTask'
+      discriminator:
+        propertyName: type
+        mapping:
+          benchmark_id: '#/components/schemas/BenchmarkTask'
+          dataset_grader: '#/components/schemas/DatasetGraderTask'
+          data_source_grader: '#/components/schemas/DataSourceGraderTask'
+    GradeRequest:
+      type: object
+      properties:
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+          description: >-
+            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
+            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
+            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
+            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+      additionalProperties: false
+      required:
+        - task
+      title: GradeRequest
+    AgentCandidate:
+      type: object
+      properties:
+        type:
+          type: string
+          const: agent
+          default: agent
+        config:
+          $ref: '#/components/schemas/AgentConfig'
+          description: >-
+            The configuration for the agent candidate.
+      additionalProperties: false
+      required:
+        - type
+        - config
+      title: AgentCandidate
+      description: An agent candidate for evaluation.
+    EvaluationCandidate:
+      oneOf:
+        - $ref: '#/components/schemas/ModelCandidate'
+        - $ref: '#/components/schemas/AgentCandidate'
+      discriminator:
+        propertyName: type
+        mapping:
+          model: '#/components/schemas/ModelCandidate'
+          agent: '#/components/schemas/AgentCandidate'
+    EvaluationJob:
+      type: object
+      properties:
+        id:
+          type: string
+          description: The ID of the job.
+        status:
+          type: string
+          enum:
+            - completed
+            - in_progress
+            - failed
+            - scheduled
+            - cancelled
+          description: The status of the job.
+        created_at:
+          type: string
+          format: date-time
+          description: The time the job was created.
+        ended_at:
+          type: string
+          format: date-time
+          description: The time the job ended.
+        error:
+          type: string
+          description: >-
+            If status of the job is failed, this will contain the error message.
+        type:
+          type: string
+          const: evaluation
+          default: evaluation
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+        candidate:
+          $ref: '#/components/schemas/EvaluationCandidate'
+      additionalProperties: false
+      required:
+        - id
+        - status
+        - created_at
+        - type
+        - task
+        - candidate
+      title: EvaluationJob
+    ModelCandidate:
+      type: object
+      properties:
+        type:
+          type: string
+          const: model
+          default: model
+        model_id:
+          type: string
+        sampling_params:
+          $ref: '#/components/schemas/SamplingParams'
+          description: The sampling parameters for the model.
+        system_message:
+          $ref: '#/components/schemas/SystemMessage'
+          description: >-
+            (Optional) The system message providing instructions or context to the
+            model.
+      additionalProperties: false
+      required:
+        - type
+        - model_id
+        - sampling_params
+      title: ModelCandidate
+      description: A model candidate for evaluation.
+    GradeInlineRequest:
+      type: object
+      properties:
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+          description: >-
+            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
+            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
+            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
+            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+      additionalProperties: false
+      required:
+        - task
+      title: GradeInlineRequest
+    EvaluationResponse:
+      type: object
+      properties:
+        generations:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: >-
+            The generations in rows for the evaluation.
+        scores:
+          type: object
+          additionalProperties:
+            $ref: '#/components/schemas/ScoringResult'
+          description: >-
+            The scores for the evaluation. Map of grader id to ScoringResult.
+      additionalProperties: false
+      required:
+        - generations
+        - scores
+      title: EvaluationResponse
+      description: A response to an inline evaluation.
+    ScoringResult:
+      type: object
+      properties:
+        scores:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: >-
+            The scoring result for each row. Each row is a map of grader column name
+            to value.
+        metrics:
+          type: object
+          additionalProperties:
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+          description: Map of metric name to aggregated value.
+      additionalProperties: false
+      required:
+        - scores
+        - metrics
+      title: ScoringResult
+      description: A scoring result for a single row.
     HealthInfo:
       type: object
       properties:
@@ -5648,6 +5671,56 @@ components:
       title: ListFileResponse
       description: >-
         Response representing a list of file entries.
+    GraderTypeInfo:
+      type: object
+      properties:
+        grader_type:
+          type: string
+          enum:
+            - llm
+            - regex_parser
+            - equality
+            - subset_of
+            - factuality
+            - faithfulness
+          title: GraderType
+          description: >-
+            A type of grader. Each type is a criteria for evaluating answers.
+        description:
+          type: string
+          description: >-
+            A description of the grader type. - E.g. Write your custom judge prompt
+            to score the answer.
+        supported_dataset_purposes:
+          type: array
+          items:
+            type: string
+            enum:
+              - post-training/messages
+              - eval/question-answer
+              - eval/messages-answer
+            title: DatasetPurpose
+            description: >-
+              Purpose of the dataset. Each purpose has a required input data schema.
+          description: >-
+            The purposes that this grader can be used for.
+      additionalProperties: false
+      required:
+        - grader_type
+        - description
+        - supported_dataset_purposes
+      title: GraderTypeInfo
+    ListGraderTypesResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: '#/components/schemas/GraderTypeInfo'
+      additionalProperties: false
+      required:
+        - data
+      title: ListGraderTypesResponse
     ListModelsResponse:
       type: object
       properties:
@@ -5698,17 +5771,6 @@ components:
       required:
         - data
       title: ListRoutesResponse
-    ListScoringFunctionsResponse:
-      type: object
-      properties:
-        data:
-          type: array
-          items:
-            $ref: '#/components/schemas/ScoringFn'
-      additionalProperties: false
-      required:
-        - data
-      title: ListScoringFunctionsResponse
     ListShieldsResponse:
       type: object
       properties:
@@ -6343,18 +6405,21 @@ components:
     RegisterBenchmarkRequest:
       type: object
       properties:
-        benchmark_id:
-          type: string
         dataset_id:
           type: string
-        scoring_functions:
+          description: >-
+            The ID of the dataset to used to run the benchmark.
+        grader_ids:
           type: array
           items:
             type: string
-        provider_benchmark_id:
-          type: string
-        provider_id:
+          description: >-
+            List of grader ids to use for this benchmark.
+        benchmark_id:
           type: string
+          description: >-
+            (Optional) The ID of the benchmark to register. If not provided, an ID
+            will be generated.
         metadata:
           type: object
           additionalProperties:
@@ -6365,11 +6430,12 @@ components:
               - type: string
               - type: array
               - type: object
+          description: >-
+            (Optional) Metadata for this benchmark for additional descriptions.
       additionalProperties: false
       required:
-        - benchmark_id
         - dataset_id
-        - scoring_functions
+        - grader_ids
       title: RegisterBenchmarkRequest
     RegisterDatasetRequest:
       type: object
@@ -6422,6 +6488,37 @@ components:
         - purpose
         - source
       title: RegisterDatasetRequest
+    RegisterGraderRequest:
+      type: object
+      properties:
+        grader:
+          $ref: '#/components/schemas/GraderDefinition'
+          description: >-
+            The grader definition, E.g. - { "type": "llm", "llm": { "model": "llama-405b",
+            "prompt": "You are a judge. Score the answer based on the question. {question}
+            {answer}", } }
+        grader_id:
+          type: string
+          description: >-
+            (Optional) The ID of the grader. If not provided, a random ID will be
+            generated.
+        metadata:
+          type: object
+          additionalProperties:
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+          description: >-
+            (Optional) Any additional metadata for this grader. - E.g. { "description":
+            "A grader that scores the answer based on the question.", }
+      additionalProperties: false
+      required:
+        - grader
+      title: RegisterGraderRequest
     RegisterModelRequest:
       type: object
       properties:
@@ -6447,27 +6544,6 @@ components:
       required:
         - model_id
       title: RegisterModelRequest
-    RegisterScoringFunctionRequest:
-      type: object
-      properties:
-        scoring_fn_id:
-          type: string
-        description:
-          type: string
-        return_type:
-          $ref: '#/components/schemas/ParamType'
-        provider_scoring_fn_id:
-          type: string
-        provider_id:
-          type: string
-        params:
-          $ref: '#/components/schemas/ScoringFnParams'
-      additionalProperties: false
-      required:
-        - scoring_fn_id
-        - description
-        - return_type
-      title: RegisterScoringFunctionRequest
     RegisterShieldRequest:
       type: object
       properties:
@@ -6549,25 +6625,42 @@ components:
       required:
         - tool_responses
       title: ResumeAgentTurnRequest
-    RunEvalRequest:
+    RunRequest:
       type: object
       properties:
-        benchmark_config:
-          $ref: '#/components/schemas/BenchmarkConfig'
-          description: The configuration for the benchmark.
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+          description: >-
+            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
+            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
+            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
+            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        candidate:
+          $ref: '#/components/schemas/EvaluationCandidate'
+          description: The candidate to evaluate.
       additionalProperties: false
       required:
-        - benchmark_config
-      title: RunEvalRequest
-    Job:
+        - task
+        - candidate
+      title: RunRequest
+    RunInlineRequest:
       type: object
       properties:
-        job_id:
-          type: string
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+          description: >-
+            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
+            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
+            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
+            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        candidate:
+          $ref: '#/components/schemas/EvaluationCandidate'
+          description: The candidate to evaluate.
       additionalProperties: false
       required:
-        - job_id
-      title: Job
+        - task
+        - candidate
+      title: RunInlineRequest
     RunShieldRequest:
       type: object
       properties:
@@ -6621,81 +6714,6 @@ components:
         - attributes_to_save
         - dataset_id
       title: SaveSpansToDatasetRequest
-    ScoreRequest:
-      type: object
-      properties:
-        input_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The rows to score.
-        scoring_functions:
-          type: object
-          additionalProperties:
-            oneOf:
-              - $ref: '#/components/schemas/ScoringFnParams'
-              - type: 'null'
-          description: >-
-            The scoring functions to use for the scoring.
-      additionalProperties: false
-      required:
-        - input_rows
-        - scoring_functions
-      title: ScoreRequest
-    ScoreResponse:
-      type: object
-      properties:
-        results:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: >-
-            A map of scoring function name to ScoringResult.
-      additionalProperties: false
-      required:
-        - results
-      title: ScoreResponse
-      description: The response from scoring.
-    ScoreBatchRequest:
-      type: object
-      properties:
-        dataset_id:
-          type: string
-        scoring_functions:
-          type: object
-          additionalProperties:
-            oneOf:
-              - $ref: '#/components/schemas/ScoringFnParams'
-              - type: 'null'
-        save_results_dataset:
-          type: boolean
-      additionalProperties: false
-      required:
-        - dataset_id
-        - scoring_functions
-        - save_results_dataset
-      title: ScoreBatchRequest
-    ScoreBatchResponse:
-      type: object
-      properties:
-        dataset_id:
-          type: string
-        results:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-      additionalProperties: false
-      required:
-        - results
-      title: ScoreBatchResponse
     AlgorithmConfig:
       oneOf:
         - $ref: '#/components/schemas/LoraFinetuningConfig'
@@ -6933,10 +6951,9 @@ tags:
   - name: Benchmarks
   - name: DatasetIO
   - name: Datasets
-  - name: Eval
-    x-displayName: >-
-      Llama Stack Evaluation API for running evaluations on model and agent candidates.
+  - name: Evaluation
   - name: Files
+  - name: Graders
   - name: Inference
     description: >-
       This API provides the raw interface to the underlying models. Two kinds of models
@@ -6956,8 +6973,6 @@ tags:
     x-displayName: >-
       Providers API for inspecting, listing, and modifying providers and their configurations.
   - name: Safety
-  - name: Scoring
-  - name: ScoringFunctions
   - name: Shields
   - name: SyntheticDataGeneration (Coming Soon)
   - name: Telemetry
@@ -6973,16 +6988,15 @@ x-tagGroups:
       - Benchmarks
       - DatasetIO
       - Datasets
-      - Eval
+      - Evaluation
       - Files
+      - Graders
       - Inference
       - Inspect
       - Models
       - PostTraining (Coming Soon)
       - Providers
       - Safety
-      - Scoring
-      - ScoringFunctions
       - Shields
       - SyntheticDataGeneration (Coming Soon)
       - Telemetry
diff --git a/llama_stack/apis/benchmarks/benchmarks.py b/llama_stack/apis/benchmarks/benchmarks.py
index 39ba355e9..eaaf8530b 100644
--- a/llama_stack/apis/benchmarks/benchmarks.py
+++ b/llama_stack/apis/benchmarks/benchmarks.py
@@ -12,11 +12,17 @@ from llama_stack.schema_utils import json_schema_type, webmethod
 
 
 class CommonBenchmarkFields(BaseModel):
+    """
+    :param dataset_id: The ID of the dataset to used to run the benchmark.
+    :param grader_ids: The grader ids to use for this benchmark.
+    :param metadata: Metadata for this benchmark for additional descriptions.
+    """
+
     dataset_id: str
-    scoring_functions: List[str]
+    grader_ids: List[str]
     metadata: Dict[str, Any] = Field(
         default_factory=dict,
-        description="Metadata for this evaluation task",
+        description="Metadata for this benchmark",
     )
 
 
@@ -45,22 +51,39 @@ class ListBenchmarksResponse(BaseModel):
 
 @runtime_checkable
 class Benchmarks(Protocol):
+    @webmethod(route="/eval/benchmarks", method="POST")
+    async def register_benchmark(
+        self,
+        dataset_id: str,
+        grader_ids: List[str],
+        benchmark_id: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+    ) -> Benchmark:
+        """
+        Register a new benchmark.
+
+        :param dataset_id: The ID of the dataset to used to run the benchmark.
+        :param grader_ids: List of grader ids to use for this benchmark.
+        :param benchmark_id: (Optional) The ID of the benchmark to register. If not provided, an ID will be generated.
+        :param metadata: (Optional) Metadata for this benchmark for additional descriptions.
+        """
+        ...
+
     @webmethod(route="/eval/benchmarks", method="GET")
-    async def list_benchmarks(self) -> ListBenchmarksResponse: ...
+    async def list_benchmarks(self) -> ListBenchmarksResponse:
+        """
+        List all benchmarks.
+        """
+        ...
 
     @webmethod(route="/eval/benchmarks/{benchmark_id}", method="GET")
     async def get_benchmark(
         self,
         benchmark_id: str,
-    ) -> Optional[Benchmark]: ...
+    ) -> Benchmark:
+        """
+        Get a benchmark by ID.
 
-    @webmethod(route="/eval/benchmarks", method="POST")
-    async def register_benchmark(
-        self,
-        benchmark_id: str,
-        dataset_id: str,
-        scoring_functions: List[str],
-        provider_benchmark_id: Optional[str] = None,
-        provider_id: Optional[str] = None,
-        metadata: Optional[Dict[str, Any]] = None,
-    ) -> None: ...
+        :param benchmark_id: The ID of the benchmark to get.
+        """
+        ...
diff --git a/llama_stack/apis/common/job_types.py b/llama_stack/apis/common/job_types.py
index bc070017b..e27f19493 100644
--- a/llama_stack/apis/common/job_types.py
+++ b/llama_stack/apis/common/job_types.py
@@ -3,21 +3,49 @@
 #
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
+from datetime import datetime
 from enum import Enum
+from typing import Optional
 
 from pydantic import BaseModel
 
 from llama_stack.schema_utils import json_schema_type
 
 
-@json_schema_type
-class Job(BaseModel):
-    job_id: str
+class JobType(Enum):
+    batch_inference = "batch_inference"
+    evaluation = "evaluation"
+    finetuning = "finetuning"
 
 
-@json_schema_type
 class JobStatus(Enum):
     completed = "completed"
     in_progress = "in_progress"
     failed = "failed"
     scheduled = "scheduled"
+    cancelled = "cancelled"
+
+
+class JobArtifact(BaseModel):
+    """
+    A job artifact is a file or directory that is produced by a job.
+    """
+
+    path: str
+
+
+@json_schema_type
+class CommonJobFields(BaseModel):
+    """Common fields for all jobs.
+    :param id: The ID of the job.
+    :param status: The status of the job.
+    :param created_at: The time the job was created.
+    :param ended_at: The time the job ended.
+    :param error: If status of the job is failed, this will contain the error message.
+    """
+
+    id: str
+    status: JobStatus
+    created_at: datetime
+    ended_at: Optional[datetime] = None
+    error: Optional[str] = None
diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
index dec018d83..5b4433041 100644
--- a/llama_stack/apis/eval/eval.py
+++ b/llama_stack/apis/eval/eval.py
@@ -10,7 +10,7 @@ from pydantic import BaseModel, Field
 from typing_extensions import Annotated
 
 from llama_stack.apis.agents import AgentConfig
-from llama_stack.apis.common.job_types import Job, JobStatus
+from llama_stack.apis.common.job_types import JobStatus
 from llama_stack.apis.inference import SamplingParams, SystemMessage
 from llama_stack.apis.scoring import ScoringResult
 from llama_stack.apis.scoring_functions import ScoringFnParams
@@ -91,7 +91,7 @@ class Eval(Protocol):
         self,
         benchmark_id: str,
         benchmark_config: BenchmarkConfig,
-    ) -> Job:
+    ) -> None:
         """Run an evaluation on a benchmark.
 
         :param benchmark_id: The ID of the benchmark to run the evaluation on.
@@ -135,7 +135,9 @@ class Eval(Protocol):
         """
         ...
 
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
+    @webmethod(
+        route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET"
+    )
     async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
         """Get the result of a job.
 
diff --git a/llama_stack/apis/evaluation/__init__.py b/llama_stack/apis/evaluation/__init__.py
new file mode 100644
index 000000000..9a168a2bc
--- /dev/null
+++ b/llama_stack/apis/evaluation/__init__.py
@@ -0,0 +1,7 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from .evaluation import *  # noqa: F401 F403
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
new file mode 100644
index 000000000..444495b6e
--- /dev/null
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -0,0 +1,175 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+from typing import Any, Dict, List, Literal, Optional, Protocol, Union
+
+from pydantic import BaseModel, Field
+from typing_extensions import Annotated
+
+from llama_stack.apis.agents import AgentConfig
+from llama_stack.apis.common.job_types import CommonJobFields, JobType
+from llama_stack.apis.datasets import DataSource
+from llama_stack.apis.inference import SamplingParams, SystemMessage
+from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
+
+
+@json_schema_type
+class ModelCandidate(BaseModel):
+    """A model candidate for evaluation.
+
+    :param model: The model ID to evaluate.
+    :param sampling_params: The sampling parameters for the model.
+    :param system_message: (Optional) The system message providing instructions or context to the model.
+    """
+
+    type: Literal["model"] = "model"
+    model_id: str
+    sampling_params: SamplingParams
+    system_message: Optional[SystemMessage] = None
+
+
+@json_schema_type
+class AgentCandidate(BaseModel):
+    """An agent candidate for evaluation.
+
+    :param config: The configuration for the agent candidate.
+    """
+
+    type: Literal["agent"] = "agent"
+    config: AgentConfig
+
+
+EvaluationCandidate = register_schema(
+    Annotated[Union[ModelCandidate, AgentCandidate], Field(discriminator="type")],
+    name="EvaluationCandidate",
+)
+
+
+@json_schema_type
+class BenchmarkTask(BaseModel):
+    type: Literal["benchmark_id"] = "benchmark_id"
+    benchmark_id: str
+
+
+@json_schema_type
+class DatasetGraderTask(BaseModel):
+    type: Literal["dataset_grader"] = "dataset_grader"
+    dataset_id: str
+    grader_ids: List[str]
+
+
+@json_schema_type
+class DataSourceGraderTask(BaseModel):
+    type: Literal["data_source_grader"] = "data_source_grader"
+    data_source: DataSource
+    grader_ids: List[str]
+
+
+EvaluationTask = register_schema(
+    Annotated[
+        Union[BenchmarkTask, DatasetGraderTask, DataSourceGraderTask],
+        Field(discriminator="type"),
+    ],
+    name="EvaluationTask",
+)
+
+
+@json_schema_type
+class EvaluationJob(CommonJobFields):
+    type: Literal[JobType.evaluation.value] = JobType.evaluation.value
+
+    # input params for the submitted evaluation job
+    task: EvaluationTask
+    candidate: EvaluationCandidate
+
+
+@json_schema_type
+class ScoringResult(BaseModel):
+    """
+    A scoring result for a single row.
+
+    :param scores: The scoring result for each row. Each row is a map of grader column name to value.
+    :param metrics: Map of metric name to aggregated value.
+    """
+
+    scores: List[Dict[str, Any]]
+    metrics: Dict[str, Any]
+
+
+@json_schema_type
+class EvaluationResponse(BaseModel):
+    """
+    A response to an inline evaluation.
+
+    :param generations: The generations in rows for the evaluation.
+    :param scores: The scores for the evaluation. Map of grader id to ScoringResult.
+    """
+
+    generations: List[Dict[str, Any]]
+    scores: Dict[str, ScoringResult]
+
+
+class Evaluation(Protocol):
+    @webmethod(route="/evaluation/run", method="POST")
+    async def run(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationJob:
+        """
+        Run an evaluation job.
+
+        :param task: The task to evaluate. One of:
+         - BenchmarkTask: Run evaluation task against a benchmark_id
+         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
+         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        :param candidate: The candidate to evaluate.
+        """
+        ...
+
+    @webmethod(route="/evaluation/run_inline", method="POST")
+    async def run_inline(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationResponse:
+        """
+        Run an evaluation job inline.
+
+        :param task: The task to evaluate. One of:
+         - BenchmarkTask: Run evaluation task against a benchmark_id
+         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
+         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        :param candidate: The candidate to evaluate.
+        """
+        ...
+
+    @webmethod(route="/evaluation/grade", method="POST")
+    async def grade(self, task: EvaluationTask) -> EvaluationJob:
+        """
+        Run an grading job with generated results. Use this when you have generated results from inference in a dataset.
+
+        :param task: The task to evaluate. One of:
+         - BenchmarkTask: Run evaluation task against a benchmark_id
+         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
+         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+
+        :return: The evaluation job containing grader scores.
+        """
+        ...
+
+    @webmethod(route="/evaluation/grade_inline", method="POST")
+    async def grade_inline(self, task: EvaluationTask) -> EvaluationResponse:
+        """
+        Run an grading job with generated results inline.
+
+        :param task: The task to evaluate. One of:
+         - BenchmarkTask: Run evaluation task against a benchmark_id
+         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
+         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+
+        :return: The evaluation job containing grader scores. "generations" is not populated in the response.
+        """
+        ...
diff --git a/llama_stack/apis/graders/__init__.py b/llama_stack/apis/graders/__init__.py
new file mode 100644
index 000000000..b5791cb88
--- /dev/null
+++ b/llama_stack/apis/graders/__init__.py
@@ -0,0 +1,7 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from .graders import *  # noqa: F401 F403
diff --git a/llama_stack/distribution/stack.py b/llama_stack/distribution/stack.py
index 9c9289a77..cd1c58348 100644
--- a/llama_stack/distribution/stack.py
+++ b/llama_stack/distribution/stack.py
@@ -17,16 +17,15 @@ from llama_stack.apis.batch_inference import BatchInference
 from llama_stack.apis.benchmarks import Benchmarks
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Datasets
-from llama_stack.apis.eval import Eval
+from llama_stack.apis.evaluation import Evaluation
 from llama_stack.apis.files import Files
+from llama_stack.apis.graders import Graders
 from llama_stack.apis.inference import Inference
 from llama_stack.apis.inspect import Inspect
 from llama_stack.apis.models import Models
 from llama_stack.apis.post_training import PostTraining
 from llama_stack.apis.providers import Providers
 from llama_stack.apis.safety import Safety
-from llama_stack.apis.scoring import Scoring
-from llama_stack.apis.scoring_functions import ScoringFunctions
 from llama_stack.apis.shields import Shields
 from llama_stack.apis.synthetic_data_generation import SyntheticDataGeneration
 from llama_stack.apis.telemetry import Telemetry
@@ -56,10 +55,7 @@ class LlamaStack(
     Telemetry,
     PostTraining,
     VectorIO,
-    Eval,
     Benchmarks,
-    Scoring,
-    ScoringFunctions,
     DatasetIO,
     Models,
     Shields,
@@ -68,6 +64,8 @@ class LlamaStack(
     ToolRuntime,
     RAGToolRuntime,
     Files,
+    Graders,
+    Evaluation,
 ):
     pass
 
@@ -113,7 +111,9 @@ class EnvVarError(Exception):
     def __init__(self, var_name: str, path: str = ""):
         self.var_name = var_name
         self.path = path
-        super().__init__(f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}")
+        super().__init__(
+            f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}"
+        )
 
 
 def redact_sensitive_fields(data: Dict[str, Any]) -> Dict[str, Any]:
@@ -204,7 +204,9 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
         if not key:
             raise ValueError(f"Empty key in environment variable pair: {env_pair}")
         if not all(c.isalnum() or c == "_" for c in key):
-            raise ValueError(f"Key must contain only alphanumeric characters and underscores: {key}")
+            raise ValueError(
+                f"Key must contain only alphanumeric characters and underscores: {key}"
+            )
         return key, value
     except ValueError as e:
         raise ValueError(
@@ -217,14 +219,20 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
 async def construct_stack(
     run_config: StackRunConfig, provider_registry: Optional[ProviderRegistry] = None
 ) -> Dict[Api, Any]:
-    dist_registry, _ = await create_dist_registry(run_config.metadata_store, run_config.image_name)
-    impls = await resolve_impls(run_config, provider_registry or get_provider_registry(), dist_registry)
+    dist_registry, _ = await create_dist_registry(
+        run_config.metadata_store, run_config.image_name
+    )
+    impls = await resolve_impls(
+        run_config, provider_registry or get_provider_registry(), dist_registry
+    )
     await register_resources(run_config, impls)
     return impls
 
 
 def get_stack_run_config_from_template(template: str) -> StackRunConfig:
-    template_path = importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
+    template_path = (
+        importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
+    )
 
     with importlib.resources.as_file(template_path) as path:
         if not path.exists():
@@ -267,7 +275,9 @@ def run_config_from_adhoc_config_spec(
 
         # call method "sample_run_config" on the provider spec config class
         provider_config_type = instantiate_class_type(provider_spec.config_class)
-        provider_config = replace_env_vars(provider_config_type.sample_run_config(__distro_dir__=distro_dir))
+        provider_config = replace_env_vars(
+            provider_config_type.sample_run_config(__distro_dir__=distro_dir)
+        )
 
         provider_configs_by_api[api_str] = [
             Provider(

From c80d1f906b365e0ff93442e769afde36a33fd568 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 19:40:18 -0700
Subject: [PATCH 37/73] precommit

---
 llama_stack/apis/eval/eval.py       |  4 ++--
 llama_stack/apis/graders/graders.py | 15 +++++++--------
 llama_stack/apis/resource.py        |  8 ++------
 llama_stack/distribution/stack.py   | 24 ++++++------------------
 4 files changed, 17 insertions(+), 34 deletions(-)

diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
index 5b4433041..8bba8c4d4 100644
--- a/llama_stack/apis/eval/eval.py
+++ b/llama_stack/apis/eval/eval.py
@@ -10,7 +10,7 @@ from pydantic import BaseModel, Field
 from typing_extensions import Annotated
 
 from llama_stack.apis.agents import AgentConfig
-from llama_stack.apis.common.job_types import JobStatus
+from llama_stack.apis.common.job_types import CommonJobFields, JobStatus
 from llama_stack.apis.inference import SamplingParams, SystemMessage
 from llama_stack.apis.scoring import ScoringResult
 from llama_stack.apis.scoring_functions import ScoringFnParams
@@ -91,7 +91,7 @@ class Eval(Protocol):
         self,
         benchmark_id: str,
         benchmark_config: BenchmarkConfig,
-    ) -> None:
+    ) -> CommonJobFields:
         """Run an evaluation on a benchmark.
 
         :param benchmark_id: The ID of the benchmark to run the evaluation on.
diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
index 077497414..08ccb9715 100644
--- a/llama_stack/apis/graders/graders.py
+++ b/llama_stack/apis/graders/graders.py
@@ -4,9 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from .graders import *  # noqa: F401 F403
 from enum import Enum
-
 from typing import (
     Annotated,
     Any,
@@ -15,17 +13,18 @@ from typing import (
     Literal,
     Optional,
     Protocol,
-    runtime_checkable,
     Union,
+    runtime_checkable,
 )
 
-from llama_stack.apis.datasets import DatasetPurpose
-
-from llama_stack.apis.resource import Resource, ResourceType
-
-from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
 from pydantic import BaseModel, Field
 
+from llama_stack.apis.datasets import DatasetPurpose
+from llama_stack.apis.resource import Resource, ResourceType
+from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
+
+from .graders import *  # noqa: F401 F403
+
 
 class GraderType(Enum):
     """
diff --git a/llama_stack/apis/resource.py b/llama_stack/apis/resource.py
index fc590b118..5f4f9876c 100644
--- a/llama_stack/apis/resource.py
+++ b/llama_stack/apis/resource.py
@@ -25,9 +25,7 @@ class ResourceType(Enum):
 class Resource(BaseModel):
     """Base class for all Llama Stack resources"""
 
-    identifier: str = Field(
-        description="Unique identifier for this resource in llama stack"
-    )
+    identifier: str = Field(description="Unique identifier for this resource in llama stack")
 
     provider_resource_id: str = Field(
         description="Unique identifier for this resource in the provider",
@@ -36,6 +34,4 @@ class Resource(BaseModel):
 
     provider_id: str = Field(description="ID of the provider that owns this resource")
 
-    type: ResourceType = Field(
-        description="Type of resource (e.g. 'model', 'shield', 'vector_db', etc.)"
-    )
+    type: ResourceType = Field(description="Type of resource (e.g. 'model', 'shield', 'vector_db', etc.)")
diff --git a/llama_stack/distribution/stack.py b/llama_stack/distribution/stack.py
index cd1c58348..b4862537a 100644
--- a/llama_stack/distribution/stack.py
+++ b/llama_stack/distribution/stack.py
@@ -111,9 +111,7 @@ class EnvVarError(Exception):
     def __init__(self, var_name: str, path: str = ""):
         self.var_name = var_name
         self.path = path
-        super().__init__(
-            f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}"
-        )
+        super().__init__(f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}")
 
 
 def redact_sensitive_fields(data: Dict[str, Any]) -> Dict[str, Any]:
@@ -204,9 +202,7 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
         if not key:
             raise ValueError(f"Empty key in environment variable pair: {env_pair}")
         if not all(c.isalnum() or c == "_" for c in key):
-            raise ValueError(
-                f"Key must contain only alphanumeric characters and underscores: {key}"
-            )
+            raise ValueError(f"Key must contain only alphanumeric characters and underscores: {key}")
         return key, value
     except ValueError as e:
         raise ValueError(
@@ -219,20 +215,14 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
 async def construct_stack(
     run_config: StackRunConfig, provider_registry: Optional[ProviderRegistry] = None
 ) -> Dict[Api, Any]:
-    dist_registry, _ = await create_dist_registry(
-        run_config.metadata_store, run_config.image_name
-    )
-    impls = await resolve_impls(
-        run_config, provider_registry or get_provider_registry(), dist_registry
-    )
+    dist_registry, _ = await create_dist_registry(run_config.metadata_store, run_config.image_name)
+    impls = await resolve_impls(run_config, provider_registry or get_provider_registry(), dist_registry)
     await register_resources(run_config, impls)
     return impls
 
 
 def get_stack_run_config_from_template(template: str) -> StackRunConfig:
-    template_path = (
-        importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
-    )
+    template_path = importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
 
     with importlib.resources.as_file(template_path) as path:
         if not path.exists():
@@ -275,9 +265,7 @@ def run_config_from_adhoc_config_spec(
 
         # call method "sample_run_config" on the provider spec config class
         provider_config_type = instantiate_class_type(provider_spec.config_class)
-        provider_config = replace_env_vars(
-            provider_config_type.sample_run_config(__distro_dir__=distro_dir)
-        )
+        provider_config = replace_env_vars(provider_config_type.sample_run_config(__distro_dir__=distro_dir))
 
         provider_configs_by_api[api_str] = [
             Provider(

From 1860751655f462b9ae9fe41d2ef0535ad4976e1a Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 19:41:40 -0700
Subject: [PATCH 38/73] benchmarks

---
 docs/_static/llama-stack-spec.html        | 4 ++--
 docs/_static/llama-stack-spec.yaml        | 4 ++--
 llama_stack/apis/benchmarks/benchmarks.py | 6 +++---
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index d6f420cae..4344dc26b 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -1117,7 +1117,7 @@
                 ]
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}": {
+        "/v1/benchmarks/{benchmark_id}": {
             "get": {
                 "responses": {
                     "200": {
@@ -2336,7 +2336,7 @@
                 ]
             }
         },
-        "/v1/eval/benchmarks": {
+        "/v1/benchmarks": {
             "get": {
                 "responses": {
                     "200": {
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index db92e7e6a..ef42d032b 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -765,7 +765,7 @@ paths:
           required: true
           schema:
             type: string
-  /v1/eval/benchmarks/{benchmark_id}:
+  /v1/benchmarks/{benchmark_id}:
     get:
       responses:
         '200':
@@ -1580,7 +1580,7 @@ paths:
           required: true
           schema:
             type: string
-  /v1/eval/benchmarks:
+  /v1/benchmarks:
     get:
       responses:
         '200':
diff --git a/llama_stack/apis/benchmarks/benchmarks.py b/llama_stack/apis/benchmarks/benchmarks.py
index eaaf8530b..11db4d350 100644
--- a/llama_stack/apis/benchmarks/benchmarks.py
+++ b/llama_stack/apis/benchmarks/benchmarks.py
@@ -51,7 +51,7 @@ class ListBenchmarksResponse(BaseModel):
 
 @runtime_checkable
 class Benchmarks(Protocol):
-    @webmethod(route="/eval/benchmarks", method="POST")
+    @webmethod(route="/benchmarks", method="POST")
     async def register_benchmark(
         self,
         dataset_id: str,
@@ -69,14 +69,14 @@ class Benchmarks(Protocol):
         """
         ...
 
-    @webmethod(route="/eval/benchmarks", method="GET")
+    @webmethod(route="/benchmarks", method="GET")
     async def list_benchmarks(self) -> ListBenchmarksResponse:
         """
         List all benchmarks.
         """
         ...
 
-    @webmethod(route="/eval/benchmarks/{benchmark_id}", method="GET")
+    @webmethod(route="/benchmarks/{benchmark_id}", method="GET")
     async def get_benchmark(
         self,
         benchmark_id: str,

From cb492eba3752c5741f60a19c5d1f5547d6fd03dc Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 20:46:07 -0700
Subject: [PATCH 39/73] inline -> sync

---
 docs/_static/llama-stack-spec.html        | 132 +++++++++++-----------
 docs/_static/llama-stack-spec.yaml        | 102 ++++++++---------
 llama_stack/apis/evaluation/evaluation.py |   8 +-
 3 files changed, 121 insertions(+), 121 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 4344dc26b..608237cfd 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -1999,7 +1999,7 @@
                 }
             }
         },
-        "/v1/evaluation/grade_inline": {
+        "/v1/evaluation/grade_sync": {
             "post": {
                 "responses": {
                     "200": {
@@ -2034,7 +2034,7 @@
                     "content": {
                         "application/json": {
                             "schema": {
-                                "$ref": "#/components/schemas/GradeInlineRequest"
+                                "$ref": "#/components/schemas/GradeSyncRequest"
                             }
                         }
                     },
@@ -3451,49 +3451,6 @@
                 }
             }
         },
-        "/v1/evaluation/run_inline": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/EvaluationResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Evaluation"
-                ],
-                "description": "Run an evaluation job inline.",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/RunInlineRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/safety/run-shield": {
             "post": {
                 "responses": {
@@ -3537,6 +3494,49 @@
                 }
             }
         },
+        "/v1/evaluation/run_sync": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "OK",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluationResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Evaluation"
+                ],
+                "description": "Run an evaluation job inline.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/RunSyncRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/telemetry/spans/export": {
             "post": {
                 "responses": {
@@ -7682,7 +7682,7 @@
                 "title": "ModelCandidate",
                 "description": "A model candidate for evaluation."
             },
-            "GradeInlineRequest": {
+            "GradeSyncRequest": {
                 "type": "object",
                 "properties": {
                     "task": {
@@ -7694,7 +7694,7 @@
                 "required": [
                     "task"
                 ],
-                "title": "GradeInlineRequest"
+                "title": "GradeSyncRequest"
             },
             "EvaluationResponse": {
                 "type": "object",
@@ -9726,25 +9726,6 @@
                 ],
                 "title": "RunRequest"
             },
-            "RunInlineRequest": {
-                "type": "object",
-                "properties": {
-                    "task": {
-                        "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
-                    },
-                    "candidate": {
-                        "$ref": "#/components/schemas/EvaluationCandidate",
-                        "description": "The candidate to evaluate."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "task",
-                    "candidate"
-                ],
-                "title": "RunInlineRequest"
-            },
             "RunShieldRequest": {
                 "type": "object",
                 "properties": {
@@ -9801,6 +9782,25 @@
                 "additionalProperties": false,
                 "title": "RunShieldResponse"
             },
+            "RunSyncRequest": {
+                "type": "object",
+                "properties": {
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    },
+                    "candidate": {
+                        "$ref": "#/components/schemas/EvaluationCandidate",
+                        "description": "The candidate to evaluate."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "task",
+                    "candidate"
+                ],
+                "title": "RunSyncRequest"
+            },
             "SaveSpansToDatasetRequest": {
                 "type": "object",
                 "properties": {
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index ef42d032b..57bf76478 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -1343,7 +1343,7 @@ paths:
             schema:
               $ref: '#/components/schemas/GradeRequest'
         required: true
-  /v1/evaluation/grade_inline:
+  /v1/evaluation/grade_sync:
     post:
       responses:
         '200':
@@ -1373,7 +1373,7 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/GradeInlineRequest'
+              $ref: '#/components/schemas/GradeSyncRequest'
         required: true
   /v1/health:
     get:
@@ -2350,35 +2350,6 @@ paths:
             schema:
               $ref: '#/components/schemas/RunRequest'
         required: true
-  /v1/evaluation/run_inline:
-    post:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluationResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Evaluation
-      description: Run an evaluation job inline.
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/RunInlineRequest'
-        required: true
   /v1/safety/run-shield:
     post:
       responses:
@@ -2408,6 +2379,35 @@ paths:
             schema:
               $ref: '#/components/schemas/RunShieldRequest'
         required: true
+  /v1/evaluation/run_sync:
+    post:
+      responses:
+        '200':
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluationResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Evaluation
+      description: Run an evaluation job inline.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/RunSyncRequest'
+        required: true
   /v1/telemetry/spans/export:
     post:
       responses:
@@ -5326,7 +5326,7 @@ components:
         - sampling_params
       title: ModelCandidate
       description: A model candidate for evaluation.
-    GradeInlineRequest:
+    GradeSyncRequest:
       type: object
       properties:
         task:
@@ -5339,7 +5339,7 @@ components:
       additionalProperties: false
       required:
         - task
-      title: GradeInlineRequest
+      title: GradeSyncRequest
     EvaluationResponse:
       type: object
       properties:
@@ -6643,24 +6643,6 @@ components:
         - task
         - candidate
       title: RunRequest
-    RunInlineRequest:
-      type: object
-      properties:
-        task:
-          $ref: '#/components/schemas/EvaluationTask'
-          description: >-
-            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
-            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
-            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
-            a data source (e.g. rows, uri, etc.) and a list of grader_ids
-        candidate:
-          $ref: '#/components/schemas/EvaluationCandidate'
-          description: The candidate to evaluate.
-      additionalProperties: false
-      required:
-        - task
-        - candidate
-      title: RunInlineRequest
     RunShieldRequest:
       type: object
       properties:
@@ -6693,6 +6675,24 @@ components:
           $ref: '#/components/schemas/SafetyViolation'
       additionalProperties: false
       title: RunShieldResponse
+    RunSyncRequest:
+      type: object
+      properties:
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+          description: >-
+            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
+            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
+            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
+            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        candidate:
+          $ref: '#/components/schemas/EvaluationCandidate'
+          description: The candidate to evaluate.
+      additionalProperties: false
+      required:
+        - task
+        - candidate
+      title: RunSyncRequest
     SaveSpansToDatasetRequest:
       type: object
       properties:
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 444495b6e..faa620872 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -129,8 +129,8 @@ class Evaluation(Protocol):
         """
         ...
 
-    @webmethod(route="/evaluation/run_inline", method="POST")
-    async def run_inline(
+    @webmethod(route="/evaluation/run_sync", method="POST")
+    async def run_sync(
         self,
         task: EvaluationTask,
         candidate: EvaluationCandidate,
@@ -160,8 +160,8 @@ class Evaluation(Protocol):
         """
         ...
 
-    @webmethod(route="/evaluation/grade_inline", method="POST")
-    async def grade_inline(self, task: EvaluationTask) -> EvaluationResponse:
+    @webmethod(route="/evaluation/grade_sync", method="POST")
+    async def grade_sync(self, task: EvaluationTask) -> EvaluationResponse:
         """
         Run an grading job with generated results inline.
 

From 62abe2899a9a326b29b616da0361f6d9449ff3a4 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 16 Mar 2025 20:49:09 -0700
Subject: [PATCH 40/73] pre

---
 llama_stack/apis/eval/eval.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
index 8bba8c4d4..9bcb118cc 100644
--- a/llama_stack/apis/eval/eval.py
+++ b/llama_stack/apis/eval/eval.py
@@ -135,9 +135,7 @@ class Eval(Protocol):
         """
         ...
 
-    @webmethod(
-        route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET"
-    )
+    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
     async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
         """Get the result of a job.
 

From 452b2b12841052e3f65e45a3cf6121e0431e69e7 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Mon, 17 Mar 2025 17:08:21 -0700
Subject: [PATCH 41/73] precommit

---
 docs/_static/llama-stack-spec.html            | 603 +++++++-----------
 docs/_static/llama-stack-spec.yaml            | 550 ++++++++--------
 llama_stack/apis/datasetio/datasetio.py       |   4 +-
 .../inline/datasetio/localfs/datasetio.py     |   8 +-
 .../datasetio/huggingface/huggingface.py      |   8 +-
 5 files changed, 515 insertions(+), 658 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 7df0c901e..6d545e7c1 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -2293,67 +2293,6 @@
                 ]
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/IterrowsResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "DatasetIO"
-                ],
-                "description": "Get a paginated list of rows from a dataset. Uses cursor-based pagination.",
-                "parameters": [
-                    {
-                        "name": "dataset_id",
-                        "in": "path",
-                        "description": "The ID of the dataset to get the rows from.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    },
-                    {
-                        "name": "start_index",
-                        "in": "query",
-                        "description": "Index into dataset for the first row to get. Get all rows if None.",
-                        "required": false,
-                        "schema": {
-                            "type": "integer"
-                        }
-                    },
-                    {
-                        "name": "limit",
-                        "in": "query",
-                        "description": "The number of rows to get per page.",
-                        "required": false,
-                        "schema": {
-                            "type": "integer"
-                        }
-                    }
-                ]
-            }
-        },
         "/v1/agents/{agent_id}/sessions": {
             "get": {
                 "responses": {
@@ -6613,69 +6552,77 @@
                         "const": "factuality",
                         "default": "factuality"
                     },
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "scoring_functions": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    },
-                    "metadata": {
+                    "factuality": {
                         "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "type": "null"
-                                },
-                                {
-                                    "type": "boolean"
-                                },
-                                {
-                                    "type": "number"
-                                },
-                                {
-                                    "type": "string"
-                                },
-                                {
-                                    "type": "array"
-                                },
-                                {
-                                    "type": "object"
+                        "properties": {
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
                                 }
-                            ]
-                        }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "aggregation_functions"
+                        ],
+                        "title": "BasicGraderParams"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "identifier",
-                    "provider_resource_id",
-                    "provider_id",
                     "type",
-                    "dataset_id",
-                    "scoring_functions",
-                    "metadata"
+                    "factuality"
                 ],
-                "title": "Benchmark"
+                "title": "FactualityGrader"
             },
-            "DataSource": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/URIDataSource"
+            "FaithfulnessGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "faithfulness",
+                        "default": "faithfulness"
                     },
-                    {
-                        "$ref": "#/components/schemas/RowsDataSource"
+                    "faithfulness": {
+                        "type": "object",
+                        "properties": {
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "aggregation_functions"
+                        ],
+                        "title": "BasicGraderParams"
                     }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "faithfulness"
                 ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "uri": "#/components/schemas/URIDataSource",
-                        "rows": "#/components/schemas/RowsDataSource"
-                    }
-                }
+                "title": "FaithfulnessGrader"
             },
             "Grader": {
                 "type": "object",
@@ -6694,18 +6641,11 @@
                         "const": "grader",
                         "default": "grader"
                     },
-                    "purpose": {
-                        "type": "string",
-                        "enum": [
-                            "post-training/messages",
-                            "eval/question-answer",
-                            "eval/messages-answer"
-                        ],
-                        "title": "DatasetPurpose",
-                        "description": "Purpose of the dataset. Each purpose has a required input data schema."
+                    "grader": {
+                        "$ref": "#/components/schemas/GraderDefinition"
                     },
-                    "source": {
-                        "$ref": "#/components/schemas/DataSource"
+                    "description": {
+                        "type": "string"
                     },
                     "metadata": {
                         "type": "object",
@@ -6739,78 +6679,98 @@
                     "provider_resource_id",
                     "provider_id",
                     "type",
-                    "purpose",
-                    "source",
+                    "grader",
                     "metadata"
                 ],
-                "title": "Dataset"
+                "title": "Grader"
             },
-            "RowsDataSource": {
+            "GraderDefinition": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/LlmGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/RegexParserGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/EqualityGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/SubsetOfGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/FactualityGrader"
+                    },
+                    {
+                        "$ref": "#/components/schemas/FaithfulnessGrader"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "llm": "#/components/schemas/LlmGrader",
+                        "regex_parser": "#/components/schemas/RegexParserGrader",
+                        "equality": "#/components/schemas/EqualityGrader",
+                        "subset_of": "#/components/schemas/SubsetOfGrader",
+                        "factuality": "#/components/schemas/FactualityGrader",
+                        "faithfulness": "#/components/schemas/FaithfulnessGrader"
+                    }
+                }
+            },
+            "LlmGrader": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "const": "rows",
-                        "default": "rows"
+                        "const": "llm",
+                        "default": "llm"
                     },
-                    "rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
+                    "llm": {
+                        "type": "object",
+                        "properties": {
+                            "model": {
+                                "type": "string"
+                            },
+                            "prompt": {
+                                "type": "string"
+                            },
+                            "score_regexes": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string"
+                                }
+                            },
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
                             }
                         },
-                        "description": "The dataset is stored in rows. E.g. - [ {\"messages\": [{\"role\": \"user\", \"content\": \"Hello, world!\"}, {\"role\": \"assistant\", \"content\": \"Hello, world!\"}]} ]"
+                        "additionalProperties": false,
+                        "required": [
+                            "model",
+                            "prompt",
+                            "score_regexes",
+                            "aggregation_functions"
+                        ],
+                        "title": "LlmGraderParams"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
                     "type",
-                    "rows"
+                    "llm"
                 ],
-                "title": "RowsDataSource",
-                "description": "A dataset stored in rows."
-            },
-            "URIDataSource": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "uri",
-                        "default": "uri"
-                    },
-                    "uri": {
-                        "type": "string",
-                        "description": "The dataset can be obtained from a URI. E.g. - \"https://mywebsite.com/mydata.jsonl\" - \"lsfs://mydata.jsonl\" - \"data:csv;base64,{base64_content}\""
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "uri"
-                ],
-                "title": "URIDataSource",
-                "description": "A dataset that can be obtained from a URI."
+                "title": "LlmGrader"
             },
             "RegexParserGrader": {
                 "type": "object",
@@ -6859,182 +6819,45 @@
                 ],
                 "title": "RegexParserGrader"
             },
-            "ModelType": {
-                "type": "string",
-                "enum": [
-                    "llm",
-                    "embedding"
-                ],
-                "title": "ModelType"
-            },
-            "AgentTurnInputType": {
+            "SubsetOfGrader": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "const": "agent_turn_input",
-                        "default": "agent_turn_input"
+                        "const": "subset_of",
+                        "default": "subset_of"
+                    },
+                    "subset_of": {
+                        "type": "object",
+                        "properties": {
+                            "aggregation_functions": {
+                                "type": "array",
+                                "items": {
+                                    "type": "string",
+                                    "enum": [
+                                        "average",
+                                        "median",
+                                        "categorical_count",
+                                        "accuracy"
+                                    ],
+                                    "title": "AggregationFunctionType",
+                                    "description": "A type of aggregation function."
+                                }
+                            }
+                        },
+                        "additionalProperties": false,
+                        "required": [
+                            "aggregation_functions"
+                        ],
+                        "title": "BasicGraderParams"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "type"
+                    "type",
+                    "subset_of"
                 ],
-                "title": "AgentTurnInputType"
-            },
-            "ArrayType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "array",
-                        "default": "array"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ArrayType"
-            },
-            "BooleanType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "boolean",
-                        "default": "boolean"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "BooleanType"
-            },
-            "ChatCompletionInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "chat_completion_input",
-                        "default": "chat_completion_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ChatCompletionInputType"
-            },
-            "CompletionInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "completion_input",
-                        "default": "completion_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "CompletionInputType"
-            },
-            "JsonType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "json",
-                        "default": "json"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "JsonType"
-            },
-            "NumberType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "number",
-                        "default": "number"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "NumberType"
-            },
-            "ObjectType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "object",
-                        "default": "object"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ObjectType"
-            },
-            "ParamType": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/StringType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/NumberType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/BooleanType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ArrayType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ObjectType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/JsonType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/UnionType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ChatCompletionInputType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/CompletionInputType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/AgentTurnInputType"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "string": "#/components/schemas/StringType",
-                        "number": "#/components/schemas/NumberType",
-                        "boolean": "#/components/schemas/BooleanType",
-                        "array": "#/components/schemas/ArrayType",
-                        "object": "#/components/schemas/ObjectType",
-                        "json": "#/components/schemas/JsonType",
-                        "union": "#/components/schemas/UnionType",
-                        "chat_completion_input": "#/components/schemas/ChatCompletionInputType",
-                        "completion_input": "#/components/schemas/CompletionInputType",
-                        "agent_turn_input": "#/components/schemas/AgentTurnInputType"
-                    }
-                }
+                "title": "SubsetOfGrader"
             },
             "Model": {
                 "type": "object",
@@ -7090,39 +6913,17 @@
                     "provider_id",
                     "type",
                     "metadata",
-                    "return_type"
+                    "model_type"
                 ],
-                "title": "ScoringFn"
+                "title": "Model"
             },
-            "StringType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "string",
-                        "default": "string"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
+            "ModelType": {
+                "type": "string",
+                "enum": [
+                    "llm",
+                    "embedding"
                 ],
-                "title": "StringType"
-            },
-            "UnionType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "union",
-                        "default": "union"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "UnionType"
+                "title": "ModelType"
             },
             "Shield": {
                 "type": "object",
@@ -9677,6 +9478,50 @@
                     "purpose",
                     "source"
                 ],
+                "title": "RegisterDatasetRequest"
+            },
+            "RegisterGraderRequest": {
+                "type": "object",
+                "properties": {
+                    "grader": {
+                        "$ref": "#/components/schemas/GraderDefinition",
+                        "description": "The grader definition, E.g. - { \"type\": \"llm\", \"llm\": { \"model\": \"llama-405b\", \"prompt\": \"You are a judge. Score the answer based on the question. {question} {answer}\", } }"
+                    },
+                    "grader_id": {
+                        "type": "string",
+                        "description": "(Optional) The ID of the grader. If not provided, a random ID will be generated."
+                    },
+                    "metadata": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "type": "null"
+                                },
+                                {
+                                    "type": "boolean"
+                                },
+                                {
+                                    "type": "number"
+                                },
+                                {
+                                    "type": "string"
+                                },
+                                {
+                                    "type": "array"
+                                },
+                                {
+                                    "type": "object"
+                                }
+                            ]
+                        },
+                        "description": "(Optional) Any additional metadata for this grader. - E.g. { \"description\": \"A grader that scores the answer based on the question.\", }"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "grader"
+                ],
                 "title": "RegisterGraderRequest"
             },
             "RegisterModelRequest": {
@@ -10354,6 +10199,9 @@
         {
             "name": "Files"
         },
+        {
+            "name": "Graders"
+        },
         {
             "name": "Inference",
             "description": "This API provides the raw interface to the underlying models. Two kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.",
@@ -10406,8 +10254,9 @@
                 "Benchmarks",
                 "DatasetIO",
                 "Datasets",
-                "Eval",
+                "Evaluation",
                 "Files",
+                "Graders",
                 "Inference",
                 "Inspect",
                 "Models",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 90b04b50a..41b11d9e0 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -1550,50 +1550,6 @@ paths:
           required: false
           schema:
             type: integer
-  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}:
-    get:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/IterrowsResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - DatasetIO
-      description: >-
-        Get a paginated list of rows from a dataset. Uses cursor-based pagination.
-      parameters:
-        - name: dataset_id
-          in: path
-          description: >-
-            The ID of the dataset to get the rows from.
-          required: true
-          schema:
-            type: string
-        - name: start_index
-          in: query
-          description: >-
-            Index into dataset for the first row to get. Get all rows if None.
-          required: false
-          schema:
-            type: integer
-        - name: limit
-          in: query
-          description: The number of rows to get per page.
-          required: false
-          schema:
-            type: integer
   /v1/agents/{agent_id}/sessions:
     get:
       responses:
@@ -4571,6 +4527,255 @@ components:
       title: URIDataSource
       description: >-
         A dataset that can be obtained from a URI.
+    EqualityGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: equality
+          default: equality
+        equality:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - equality
+      title: EqualityGrader
+    FactualityGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: factuality
+          default: factuality
+        factuality:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - factuality
+      title: FactualityGrader
+    FaithfulnessGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: faithfulness
+          default: faithfulness
+        faithfulness:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - faithfulness
+      title: FaithfulnessGrader
+    Grader:
+      type: object
+      properties:
+        identifier:
+          type: string
+        provider_resource_id:
+          type: string
+        provider_id:
+          type: string
+        type:
+          type: string
+          const: grader
+          default: grader
+        grader:
+          $ref: '#/components/schemas/GraderDefinition'
+        description:
+          type: string
+        metadata:
+          type: object
+          additionalProperties:
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+      additionalProperties: false
+      required:
+        - identifier
+        - provider_resource_id
+        - provider_id
+        - type
+        - grader
+        - metadata
+      title: Grader
+    GraderDefinition:
+      oneOf:
+        - $ref: '#/components/schemas/LlmGrader'
+        - $ref: '#/components/schemas/RegexParserGrader'
+        - $ref: '#/components/schemas/EqualityGrader'
+        - $ref: '#/components/schemas/SubsetOfGrader'
+        - $ref: '#/components/schemas/FactualityGrader'
+        - $ref: '#/components/schemas/FaithfulnessGrader'
+      discriminator:
+        propertyName: type
+        mapping:
+          llm: '#/components/schemas/LlmGrader'
+          regex_parser: '#/components/schemas/RegexParserGrader'
+          equality: '#/components/schemas/EqualityGrader'
+          subset_of: '#/components/schemas/SubsetOfGrader'
+          factuality: '#/components/schemas/FactualityGrader'
+          faithfulness: '#/components/schemas/FaithfulnessGrader'
+    LlmGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: llm
+          default: llm
+        llm:
+          type: object
+          properties:
+            model:
+              type: string
+            prompt:
+              type: string
+            score_regexes:
+              type: array
+              items:
+                type: string
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - model
+            - prompt
+            - score_regexes
+            - aggregation_functions
+          title: LlmGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - llm
+      title: LlmGrader
+    RegexParserGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: regex_parser
+          default: regex_parser
+        regex_parser:
+          type: object
+          properties:
+            parsing_regexes:
+              type: array
+              items:
+                type: string
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - parsing_regexes
+            - aggregation_functions
+          title: RegexParserGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - regex_parser
+      title: RegexParserGrader
+    SubsetOfGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: subset_of
+          default: subset_of
+        subset_of:
+          type: object
+          properties:
+            aggregation_functions:
+              type: array
+              items:
+                type: string
+                enum:
+                  - average
+                  - median
+                  - categorical_count
+                  - accuracy
+                title: AggregationFunctionType
+                description: A type of aggregation function.
+          additionalProperties: false
+          required:
+            - aggregation_functions
+          title: BasicGraderParams
+      additionalProperties: false
+      required:
+        - type
+        - subset_of
+      title: SubsetOfGrader
     Model:
       type: object
       properties:
@@ -4612,224 +4817,6 @@ components:
         - llm
         - embedding
       title: ModelType
-    AgentTurnInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: agent_turn_input
-          default: agent_turn_input
-      additionalProperties: false
-      required:
-        - type
-      title: AgentTurnInputType
-    ArrayType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: array
-          default: array
-      additionalProperties: false
-      required:
-        - type
-      title: ArrayType
-    BooleanType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: boolean
-          default: boolean
-      additionalProperties: false
-      required:
-        - type
-      title: BooleanType
-    ChatCompletionInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: chat_completion_input
-          default: chat_completion_input
-      additionalProperties: false
-      required:
-        - type
-      title: ChatCompletionInputType
-    CompletionInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: completion_input
-          default: completion_input
-      additionalProperties: false
-      required:
-        - type
-      title: CompletionInputType
-    JsonType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: rows
-          default: rows
-        rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: >-
-            The dataset is stored in rows. E.g. - [ {"messages": [{"role": "user",
-            "content": "Hello, world!"}, {"role": "assistant", "content": "Hello,
-            world!"}]} ]
-      additionalProperties: false
-      required:
-        - type
-        - rows
-      title: RowsDataSource
-      description: A dataset stored in rows.
-    URIDataSource:
-      type: object
-      properties:
-        type:
-          type: string
-          const: uri
-          default: uri
-        uri:
-          type: string
-          description: >-
-            The dataset can be obtained from a URI. E.g. - "https://mywebsite.com/mydata.jsonl"
-            - "lsfs://mydata.jsonl" - "data:csv;base64,{base64_content}"
-      additionalProperties: false
-      required:
-        - type
-        - uri
-      title: URIDataSource
-      description: >-
-        A dataset that can be obtained from a URI.
-    EqualityGrader:
-      type: object
-      properties:
-        type:
-          type: string
-          const: equality
-          default: equality
-        equality:
-          type: object
-          properties:
-            aggregation_functions:
-              type: array
-              items:
-                type: string
-                enum:
-                  - average
-                  - median
-                  - categorical_count
-                  - accuracy
-                title: AggregationFunctionType
-                description: A type of aggregation function.
-          additionalProperties: false
-          required:
-            - aggregation_functions
-          title: BasicGraderParams
-      additionalProperties: false
-      required:
-        - type
-      title: ObjectType
-    ParamType:
-      oneOf:
-        - $ref: '#/components/schemas/StringType'
-        - $ref: '#/components/schemas/NumberType'
-        - $ref: '#/components/schemas/BooleanType'
-        - $ref: '#/components/schemas/ArrayType'
-        - $ref: '#/components/schemas/ObjectType'
-        - $ref: '#/components/schemas/JsonType'
-        - $ref: '#/components/schemas/UnionType'
-        - $ref: '#/components/schemas/ChatCompletionInputType'
-        - $ref: '#/components/schemas/CompletionInputType'
-        - $ref: '#/components/schemas/AgentTurnInputType'
-      discriminator:
-        propertyName: type
-        mapping:
-          string: '#/components/schemas/StringType'
-          number: '#/components/schemas/NumberType'
-          boolean: '#/components/schemas/BooleanType'
-          array: '#/components/schemas/ArrayType'
-          object: '#/components/schemas/ObjectType'
-          json: '#/components/schemas/JsonType'
-          union: '#/components/schemas/UnionType'
-          chat_completion_input: '#/components/schemas/ChatCompletionInputType'
-          completion_input: '#/components/schemas/CompletionInputType'
-          agent_turn_input: '#/components/schemas/AgentTurnInputType'
-    ScoringFn:
-      type: object
-      properties:
-        identifier:
-          type: string
-        provider_resource_id:
-          type: string
-        provider_id:
-          type: string
-        type:
-          type: string
-          const: scoring_function
-          default: scoring_function
-        description:
-          type: string
-        metadata:
-          type: object
-          additionalProperties:
-            oneOf:
-              - type: 'null'
-              - type: boolean
-              - type: number
-              - type: string
-              - type: array
-              - type: object
-        return_type:
-          $ref: '#/components/schemas/ParamType'
-        params:
-          $ref: '#/components/schemas/ScoringFnParams'
-      additionalProperties: false
-      required:
-        - identifier
-        - provider_resource_id
-        - provider_id
-        - type
-        - grader
-        - metadata
-        - return_type
-      title: ScoringFn
-    StringType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: string
-          default: string
-      additionalProperties: false
-      required:
-        - type
-      title: StringType
-    UnionType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: union
-          default: union
-      additionalProperties: false
-      required:
-        - type
-      title: UnionType
     Shield:
       type: object
       properties:
@@ -6503,6 +6490,37 @@ components:
         - purpose
         - source
       title: RegisterDatasetRequest
+    RegisterGraderRequest:
+      type: object
+      properties:
+        grader:
+          $ref: '#/components/schemas/GraderDefinition'
+          description: >-
+            The grader definition, E.g. - { "type": "llm", "llm": { "model": "llama-405b",
+            "prompt": "You are a judge. Score the answer based on the question. {question}
+            {answer}", } }
+        grader_id:
+          type: string
+          description: >-
+            (Optional) The ID of the grader. If not provided, a random ID will be
+            generated.
+        metadata:
+          type: object
+          additionalProperties:
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+          description: >-
+            (Optional) Any additional metadata for this grader. - E.g. { "description":
+            "A grader that scores the answer based on the question.", }
+      additionalProperties: false
+      required:
+        - grader
+      title: RegisterGraderRequest
     RegisterModelRequest:
       type: object
       properties:
@@ -6935,10 +6953,9 @@ tags:
   - name: Benchmarks
   - name: DatasetIO
   - name: Datasets
-  - name: Eval
-    x-displayName: >-
-      Llama Stack Evaluation API for running evaluations on model and agent candidates.
+  - name: Evaluation
   - name: Files
+  - name: Graders
   - name: Inference
     description: >-
       This API provides the raw interface to the underlying models. Two kinds of models
@@ -6973,8 +6990,9 @@ x-tagGroups:
       - Benchmarks
       - DatasetIO
       - Datasets
-      - Eval
+      - Evaluation
       - Files
+      - Graders
       - Inference
       - Inspect
       - Models
diff --git a/llama_stack/apis/datasetio/datasetio.py b/llama_stack/apis/datasetio/datasetio.py
index b1eaffa17..d9d86fe1b 100644
--- a/llama_stack/apis/datasetio/datasetio.py
+++ b/llama_stack/apis/datasetio/datasetio.py
@@ -51,6 +51,4 @@ class DatasetIO(Protocol):
         ...
 
     @webmethod(route="/datasetio/append-rows/{dataset_id:path}", method="POST")
-    async def append_rows(
-        self, dataset_id: str, rows: List[Dict[str, Any]]
-    ) -> None: ...
+    async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None: ...
diff --git a/llama_stack/providers/inline/datasetio/localfs/datasetio.py b/llama_stack/providers/inline/datasetio/localfs/datasetio.py
index 958c7d387..cf4bf7fec 100644
--- a/llama_stack/providers/inline/datasetio/localfs/datasetio.py
+++ b/llama_stack/providers/inline/datasetio/localfs/datasetio.py
@@ -44,9 +44,7 @@ class PandasDataframeDataset:
         elif self.dataset_def.source.type == "rows":
             self.df = pandas.DataFrame(self.dataset_def.source.rows)
         else:
-            raise ValueError(
-                f"Unsupported dataset source type: {self.dataset_def.source.type}"
-            )
+            raise ValueError(f"Unsupported dataset source type: {self.dataset_def.source.type}")
 
         if self.df is None:
             raise ValueError(f"Failed to load dataset from {self.dataset_def.url}")
@@ -119,6 +117,4 @@ class LocalFSDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate):
         dataset_impl.load()
 
         new_rows_df = pandas.DataFrame(rows)
-        dataset_impl.df = pandas.concat(
-            [dataset_impl.df, new_rows_df], ignore_index=True
-        )
+        dataset_impl.df = pandas.concat([dataset_impl.df, new_rows_df], ignore_index=True)
diff --git a/llama_stack/providers/remote/datasetio/huggingface/huggingface.py b/llama_stack/providers/remote/datasetio/huggingface/huggingface.py
index db6edbce3..fe3195332 100644
--- a/llama_stack/providers/remote/datasetio/huggingface/huggingface.py
+++ b/llama_stack/providers/remote/datasetio/huggingface/huggingface.py
@@ -98,13 +98,9 @@ class HuggingfaceDatasetIOImpl(DatasetIO, DatasetsProtocolPrivate):
         new_dataset = hf_datasets.Dataset.from_list(rows)
 
         # Concatenate the new rows with existing dataset
-        updated_dataset = hf_datasets.concatenate_datasets(
-            [loaded_dataset, new_dataset]
-        )
+        updated_dataset = hf_datasets.concatenate_datasets([loaded_dataset, new_dataset])
 
         if dataset_def.metadata.get("path", None):
             updated_dataset.push_to_hub(dataset_def.metadata["path"])
         else:
-            raise NotImplementedError(
-                "Uploading to URL-based datasets is not supported yet"
-            )
+            raise NotImplementedError("Uploading to URL-based datasets is not supported yet")

From ade33911702604d823afea84b07d78ccf2a716bb Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Mon, 17 Mar 2025 17:12:28 -0700
Subject: [PATCH 42/73] revert job related

---
 llama_stack/apis/common/job_types.py | 14 ++++++--------
 llama_stack/apis/eval/eval.py        |  8 +++++---
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/llama_stack/apis/common/job_types.py b/llama_stack/apis/common/job_types.py
index e27f19493..57775754b 100644
--- a/llama_stack/apis/common/job_types.py
+++ b/llama_stack/apis/common/job_types.py
@@ -12,6 +12,12 @@ from pydantic import BaseModel
 from llama_stack.schema_utils import json_schema_type
 
 
+@json_schema_type
+class Job(BaseModel):
+    # NOTE: this will be DEPRECATED in favour of CommonJobFields
+    job_id: str
+
+
 class JobType(Enum):
     batch_inference = "batch_inference"
     evaluation = "evaluation"
@@ -26,14 +32,6 @@ class JobStatus(Enum):
     cancelled = "cancelled"
 
 
-class JobArtifact(BaseModel):
-    """
-    A job artifact is a file or directory that is produced by a job.
-    """
-
-    path: str
-
-
 @json_schema_type
 class CommonJobFields(BaseModel):
     """Common fields for all jobs.
diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
index 9bcb118cc..e215a41c1 100644
--- a/llama_stack/apis/eval/eval.py
+++ b/llama_stack/apis/eval/eval.py
@@ -10,7 +10,7 @@ from pydantic import BaseModel, Field
 from typing_extensions import Annotated
 
 from llama_stack.apis.agents import AgentConfig
-from llama_stack.apis.common.job_types import CommonJobFields, JobStatus
+from llama_stack.apis.common.job_types import Job, JobStatus
 from llama_stack.apis.inference import SamplingParams, SystemMessage
 from llama_stack.apis.scoring import ScoringResult
 from llama_stack.apis.scoring_functions import ScoringFnParams
@@ -91,7 +91,7 @@ class Eval(Protocol):
         self,
         benchmark_id: str,
         benchmark_config: BenchmarkConfig,
-    ) -> CommonJobFields:
+    ) -> Job:
         """Run an evaluation on a benchmark.
 
         :param benchmark_id: The ID of the benchmark to run the evaluation on.
@@ -135,7 +135,9 @@ class Eval(Protocol):
         """
         ...
 
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
+    @webmethod(
+        route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET"
+    )
     async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
         """Get the result of a job.
 

From 5c0888c29a9ce34d2896b078b12bcda40911f89e Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 14:50:19 -0700
Subject: [PATCH 43/73] comments

---
 docs/_static/llama-stack-spec.html | 1 -
 docs/_static/llama-stack-spec.yaml | 1 -
 2 files changed, 2 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index ddfba8974..8de7f86de 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -1126,7 +1126,6 @@
                             "application/json": {
                                 "schema": {
                                     "$ref": "#/components/schemas/Benchmark"
-                                    "$ref": "#/components/schemas/Benchmark"
                                 }
                             }
                         }
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 275c02f43..b0db86389 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -774,7 +774,6 @@ paths:
             application/json:
               schema:
                 $ref: '#/components/schemas/Benchmark'
-                $ref: '#/components/schemas/Benchmark'
         '400':
           $ref: '#/components/responses/BadRequest400'
         '429':

From a8b0467ec3ca7e8de899bdd7a357402d1e4d2c3e Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 14:51:52 -0700
Subject: [PATCH 44/73] address

---
 llama_stack/apis/graders/graders.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
index 08ccb9715..98b85552a 100644
--- a/llama_stack/apis/graders/graders.py
+++ b/llama_stack/apis/graders/graders.py
@@ -13,8 +13,8 @@ from typing import (
     Literal,
     Optional,
     Protocol,
-    Union,
     runtime_checkable,
+    Union,
 )
 
 from pydantic import BaseModel, Field
@@ -204,7 +204,7 @@ class Graders(Protocol):
         ...
 
     @webmethod(route="/graders", method="GET")
-    async def list_graders(self) -> List[Grader]:
+    async def list_graders(self) -> ListGradersResponse:
         """
         List all graders.
         :return: A list of graders.

From a69759613a0f024b54dbe97229d3de7cac5109c5 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 15:01:41 -0700
Subject: [PATCH 45/73] comments

---
 docs/_static/llama-stack-spec.html        | 1670 ++++++++++++++++++---
 docs/_static/llama-stack-spec.yaml        | 1134 ++++++++++++--
 llama_stack/apis/benchmarks/benchmarks.py |    9 +-
 llama_stack/apis/common/job_types.py      |    7 +-
 llama_stack/apis/evaluation/evaluation.py |   14 +-
 llama_stack/apis/graders/graders.py       |   11 +-
 llama_stack/distribution/stack.py         |   30 +-
 7 files changed, 2486 insertions(+), 389 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 8de7f86de..cb5959e22 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -866,83 +866,6 @@
                 ]
             }
         },
-        "/v1/graders/{grader_id}": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "The grader.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/Grader"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Graders"
-                ],
-                "description": "Get a grader by ID.",
-                "parameters": [
-                    {
-                        "name": "grader_id",
-                        "in": "path",
-                        "description": "The ID of the grader.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            },
-            "delete": {
-                "responses": {
-                    "200": {
-                        "description": "OK"
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Graders"
-                ],
-                "description": "Delete a grader by ID.",
-                "parameters": [
-                    {
-                        "name": "grader_id",
-                        "in": "path",
-                        "description": "The ID of the grader.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            }
-        },
         "/v1/inference/embeddings": {
             "post": {
                 "responses": {
@@ -986,6 +909,59 @@
                 }
             }
         },
+        "/v1/eval/benchmarks/{benchmark_id}/evaluations": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "EvaluateResponse object containing generations and scores",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluateResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Eval"
+                ],
+                "description": "Evaluate a list of rows on a benchmark.",
+                "parameters": [
+                    {
+                        "name": "benchmark_id",
+                        "in": "path",
+                        "description": "The ID of the benchmark to run the evaluation on.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/EvaluateRowsRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}": {
             "get": {
                 "responses": {
@@ -1158,6 +1134,39 @@
                         }
                     }
                 ]
+            },
+            "delete": {
+                "responses": {
+                    "200": {
+                        "description": "OK"
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Benchmarks"
+                ],
+                "description": "Unregister a benchmark by ID.",
+                "parameters": [
+                    {
+                        "name": "benchmark_id",
+                        "in": "path",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
             }
         },
         "/v1/datasets/{dataset_id}": {
@@ -1235,6 +1244,83 @@
                 ]
             }
         },
+        "/v1/graders/{grader_id}": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "The grader.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/Grader"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Graders"
+                ],
+                "description": "Get a grader by ID.",
+                "parameters": [
+                    {
+                        "name": "grader_id",
+                        "in": "path",
+                        "description": "The ID of the grader.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            },
+            "delete": {
+                "responses": {
+                    "200": {
+                        "description": "OK"
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Graders"
+                ],
+                "description": "Unregister a grader by ID.",
+                "parameters": [
+                    {
+                        "name": "grader_id",
+                        "in": "path",
+                        "description": "The ID of the grader.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            }
+        },
         "/v1/models/{model_id}": {
             "get": {
                 "responses": {
@@ -1310,6 +1396,48 @@
                 ]
             }
         },
+        "/v1/scoring-functions/{scoring_fn_id}": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "OK",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/ScoringFn"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "ScoringFunctions"
+                ],
+                "description": "",
+                "parameters": [
+                    {
+                        "name": "scoring_fn_id",
+                        "in": "path",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            }
+        },
         "/v1/shields/{identifier}": {
             "get": {
                 "responses": {
@@ -2244,6 +2372,153 @@
                 ]
             }
         },
+        "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "The status of the evaluationjob.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/JobStatus"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Eval"
+                ],
+                "description": "Get the status of a job.",
+                "parameters": [
+                    {
+                        "name": "benchmark_id",
+                        "in": "path",
+                        "description": "The ID of the benchmark to run the evaluation on.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    },
+                    {
+                        "name": "job_id",
+                        "in": "path",
+                        "description": "The ID of the job to get the status of.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            },
+            "delete": {
+                "responses": {
+                    "200": {
+                        "description": "OK"
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Eval"
+                ],
+                "description": "Cancel a job.",
+                "parameters": [
+                    {
+                        "name": "benchmark_id",
+                        "in": "path",
+                        "description": "The ID of the benchmark to run the evaluation on.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    },
+                    {
+                        "name": "job_id",
+                        "in": "path",
+                        "description": "The ID of the job to cancel.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            }
+        },
+        "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "The result of the job.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluateResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Eval"
+                ],
+                "description": "Get the result of a job.",
+                "parameters": [
+                    {
+                        "name": "benchmark_id",
+                        "in": "path",
+                        "description": "The ID of the benchmark to run the evaluation on.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    },
+                    {
+                        "name": "job_id",
+                        "in": "path",
+                        "description": "The ID of the job to get the result of.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ]
+            }
+        },
         "/v1/agents/{agent_id}/sessions": {
             "get": {
                 "responses": {
@@ -2517,9 +2792,9 @@
                     "200": {
                         "description": "A list of graders.",
                         "content": {
-                            "application/jsonl": {
+                            "application/json": {
                                 "schema": {
-                                    "$ref": "#/components/schemas/Grader"
+                                    "$ref": "#/components/schemas/ListGradersResponse"
                                 }
                             }
                         }
@@ -2775,6 +3050,73 @@
                 ]
             }
         },
+        "/v1/scoring-functions": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "OK",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/ListScoringFunctionsResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "ScoringFunctions"
+                ],
+                "description": "",
+                "parameters": []
+            },
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "OK"
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "ScoringFunctions"
+                ],
+                "description": "",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/RegisterScoringFunctionRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/shields": {
             "get": {
                 "responses": {
@@ -3402,6 +3744,59 @@
                 }
             }
         },
+        "/v1/eval/benchmarks/{benchmark_id}/jobs": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "The job that was created to run the evaluation.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/Job"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Eval"
+                ],
+                "description": "Run an evaluation on a benchmark.",
+                "parameters": [
+                    {
+                        "name": "benchmark_id",
+                        "in": "path",
+                        "description": "The ID of the benchmark to run the evaluation on.",
+                        "required": true,
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                ],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/RunEvalRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/safety/run-shield": {
             "post": {
                 "responses": {
@@ -3524,6 +3919,92 @@
                 }
             }
         },
+        "/v1/scoring/score": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "ScoreResponse object containing rows and aggregated results",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/ScoreResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Scoring"
+                ],
+                "description": "Score a list of rows.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/ScoreRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
+        "/v1/scoring/score-batch": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "OK",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/ScoreBatchResponse"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Scoring"
+                ],
+                "description": "",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/ScoreBatchRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/post-training/supervised-fine-tune": {
             "post": {
                 "responses": {
@@ -6149,6 +6630,381 @@
                 "title": "EmbeddingsResponse",
                 "description": "Response containing generated embeddings."
             },
+            "AgentCandidate": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "agent",
+                        "default": "agent"
+                    },
+                    "config": {
+                        "$ref": "#/components/schemas/AgentConfig",
+                        "description": "The configuration for the agent candidate."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "config"
+                ],
+                "title": "AgentCandidate",
+                "description": "An agent candidate for evaluation."
+            },
+            "AggregationFunctionType": {
+                "type": "string",
+                "enum": [
+                    "average",
+                    "median",
+                    "categorical_count",
+                    "accuracy"
+                ],
+                "title": "AggregationFunctionType"
+            },
+            "BasicScoringFnParams": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "basic",
+                        "default": "basic"
+                    },
+                    "aggregation_functions": {
+                        "type": "array",
+                        "items": {
+                            "$ref": "#/components/schemas/AggregationFunctionType"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "BasicScoringFnParams"
+            },
+            "BenchmarkConfig": {
+                "type": "object",
+                "properties": {
+                    "eval_candidate": {
+                        "$ref": "#/components/schemas/EvalCandidate",
+                        "description": "The candidate to evaluate."
+                    },
+                    "scoring_params": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "$ref": "#/components/schemas/ScoringFnParams"
+                        },
+                        "description": "Map between scoring function id and parameters for each scoring function you want to run"
+                    },
+                    "num_examples": {
+                        "type": "integer",
+                        "description": "(Optional) The number of examples to evaluate. If not provided, all examples in the dataset will be evaluated"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "eval_candidate",
+                    "scoring_params"
+                ],
+                "title": "BenchmarkConfig",
+                "description": "A benchmark configuration for evaluation."
+            },
+            "EvalCandidate": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/ModelCandidate"
+                    },
+                    {
+                        "$ref": "#/components/schemas/AgentCandidate"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "model": "#/components/schemas/ModelCandidate",
+                        "agent": "#/components/schemas/AgentCandidate"
+                    }
+                }
+            },
+            "LLMAsJudgeScoringFnParams": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "llm_as_judge",
+                        "default": "llm_as_judge"
+                    },
+                    "judge_model": {
+                        "type": "string"
+                    },
+                    "prompt_template": {
+                        "type": "string"
+                    },
+                    "judge_score_regexes": {
+                        "type": "array",
+                        "items": {
+                            "type": "string"
+                        }
+                    },
+                    "aggregation_functions": {
+                        "type": "array",
+                        "items": {
+                            "$ref": "#/components/schemas/AggregationFunctionType"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "judge_model"
+                ],
+                "title": "LLMAsJudgeScoringFnParams"
+            },
+            "ModelCandidate": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "model",
+                        "default": "model"
+                    },
+                    "model": {
+                        "type": "string",
+                        "description": "The model ID to evaluate."
+                    },
+                    "sampling_params": {
+                        "$ref": "#/components/schemas/SamplingParams",
+                        "description": "The sampling parameters for the model."
+                    },
+                    "system_message": {
+                        "$ref": "#/components/schemas/SystemMessage",
+                        "description": "(Optional) The system message providing instructions or context to the model."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "model",
+                    "sampling_params"
+                ],
+                "title": "ModelCandidate",
+                "description": "A model candidate for evaluation."
+            },
+            "RegexParserScoringFnParams": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "regex_parser",
+                        "default": "regex_parser"
+                    },
+                    "parsing_regexes": {
+                        "type": "array",
+                        "items": {
+                            "type": "string"
+                        }
+                    },
+                    "aggregation_functions": {
+                        "type": "array",
+                        "items": {
+                            "$ref": "#/components/schemas/AggregationFunctionType"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "RegexParserScoringFnParams"
+            },
+            "ScoringFnParams": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/LLMAsJudgeScoringFnParams"
+                    },
+                    {
+                        "$ref": "#/components/schemas/RegexParserScoringFnParams"
+                    },
+                    {
+                        "$ref": "#/components/schemas/BasicScoringFnParams"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "llm_as_judge": "#/components/schemas/LLMAsJudgeScoringFnParams",
+                        "regex_parser": "#/components/schemas/RegexParserScoringFnParams",
+                        "basic": "#/components/schemas/BasicScoringFnParams"
+                    }
+                }
+            },
+            "EvaluateRowsRequest": {
+                "type": "object",
+                "properties": {
+                    "input_rows": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The rows to evaluate."
+                    },
+                    "scoring_functions": {
+                        "type": "array",
+                        "items": {
+                            "type": "string"
+                        },
+                        "description": "The scoring functions to use for the evaluation."
+                    },
+                    "benchmark_config": {
+                        "$ref": "#/components/schemas/BenchmarkConfig",
+                        "description": "The configuration for the benchmark."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "input_rows",
+                    "scoring_functions",
+                    "benchmark_config"
+                ],
+                "title": "EvaluateRowsRequest"
+            },
+            "EvaluateResponse": {
+                "type": "object",
+                "properties": {
+                    "generations": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The generations from the evaluation."
+                    },
+                    "scores": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "$ref": "#/components/schemas/ScoringResult"
+                        },
+                        "description": "The scores from the evaluation."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "generations",
+                    "scores"
+                ],
+                "title": "EvaluateResponse",
+                "description": "The response from an evaluation."
+            },
+            "ScoringResult": {
+                "type": "object",
+                "properties": {
+                    "score_rows": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The scoring result for each row. Each row is a map of column name to value."
+                    },
+                    "aggregated_results": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "type": "null"
+                                },
+                                {
+                                    "type": "boolean"
+                                },
+                                {
+                                    "type": "number"
+                                },
+                                {
+                                    "type": "string"
+                                },
+                                {
+                                    "type": "array"
+                                },
+                                {
+                                    "type": "object"
+                                }
+                            ]
+                        },
+                        "description": "Map of metric name to aggregated value"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "score_rows",
+                    "aggregated_results"
+                ],
+                "title": "ScoringResult",
+                "description": "A scoring result for a single row."
+            },
             "Agent": {
                 "type": "object",
                 "properties": {
@@ -6876,6 +7732,268 @@
                 ],
                 "title": "ModelType"
             },
+            "AgentTurnInputType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "agent_turn_input",
+                        "default": "agent_turn_input"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "AgentTurnInputType"
+            },
+            "ArrayType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "array",
+                        "default": "array"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "ArrayType"
+            },
+            "BooleanType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "boolean",
+                        "default": "boolean"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "BooleanType"
+            },
+            "ChatCompletionInputType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "chat_completion_input",
+                        "default": "chat_completion_input"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "ChatCompletionInputType"
+            },
+            "CompletionInputType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "completion_input",
+                        "default": "completion_input"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "CompletionInputType"
+            },
+            "JsonType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "json",
+                        "default": "json"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "JsonType"
+            },
+            "NumberType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "number",
+                        "default": "number"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "NumberType"
+            },
+            "ObjectType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "object",
+                        "default": "object"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "ObjectType"
+            },
+            "ParamType": {
+                "oneOf": [
+                    {
+                        "$ref": "#/components/schemas/StringType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/NumberType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/BooleanType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/ArrayType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/ObjectType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/JsonType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/UnionType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/ChatCompletionInputType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/CompletionInputType"
+                    },
+                    {
+                        "$ref": "#/components/schemas/AgentTurnInputType"
+                    }
+                ],
+                "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                        "string": "#/components/schemas/StringType",
+                        "number": "#/components/schemas/NumberType",
+                        "boolean": "#/components/schemas/BooleanType",
+                        "array": "#/components/schemas/ArrayType",
+                        "object": "#/components/schemas/ObjectType",
+                        "json": "#/components/schemas/JsonType",
+                        "union": "#/components/schemas/UnionType",
+                        "chat_completion_input": "#/components/schemas/ChatCompletionInputType",
+                        "completion_input": "#/components/schemas/CompletionInputType",
+                        "agent_turn_input": "#/components/schemas/AgentTurnInputType"
+                    }
+                }
+            },
+            "ScoringFn": {
+                "type": "object",
+                "properties": {
+                    "identifier": {
+                        "type": "string"
+                    },
+                    "provider_resource_id": {
+                        "type": "string"
+                    },
+                    "provider_id": {
+                        "type": "string"
+                    },
+                    "type": {
+                        "type": "string",
+                        "const": "scoring_function",
+                        "default": "scoring_function"
+                    },
+                    "description": {
+                        "type": "string"
+                    },
+                    "metadata": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "type": "null"
+                                },
+                                {
+                                    "type": "boolean"
+                                },
+                                {
+                                    "type": "number"
+                                },
+                                {
+                                    "type": "string"
+                                },
+                                {
+                                    "type": "array"
+                                },
+                                {
+                                    "type": "object"
+                                }
+                            ]
+                        }
+                    },
+                    "return_type": {
+                        "$ref": "#/components/schemas/ParamType"
+                    },
+                    "params": {
+                        "$ref": "#/components/schemas/ScoringFnParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "identifier",
+                    "provider_resource_id",
+                    "provider_id",
+                    "type",
+                    "metadata",
+                    "return_type"
+                ],
+                "title": "ScoringFn"
+            },
+            "StringType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "string",
+                        "default": "string"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "StringType"
+            },
+            "UnionType": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "union",
+                        "default": "union"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "UnionType"
+            },
             "Shield": {
                 "type": "object",
                 "properties": {
@@ -7405,13 +8523,13 @@
                 ],
                 "title": "VectorDB"
             },
-            "BenchmarkTask": {
+            "BenchmarkEvaluationTask": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "const": "benchmark_id",
-                        "default": "benchmark_id"
+                        "const": "benchmark",
+                        "default": "benchmark"
                     },
                     "benchmark_id": {
                         "type": "string"
@@ -7422,15 +8540,15 @@
                     "type",
                     "benchmark_id"
                 ],
-                "title": "BenchmarkTask"
+                "title": "BenchmarkEvaluationTask"
             },
-            "DataSourceGraderTask": {
+            "DataEvaluationTask": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "const": "data_source_grader",
-                        "default": "data_source_grader"
+                        "const": "data",
+                        "default": "data"
                     },
                     "data_source": {
                         "$ref": "#/components/schemas/DataSource"
@@ -7448,15 +8566,15 @@
                     "data_source",
                     "grader_ids"
                 ],
-                "title": "DataSourceGraderTask"
+                "title": "DataEvaluationTask"
             },
-            "DatasetGraderTask": {
+            "DatasetEvaluationTask": {
                 "type": "object",
                 "properties": {
                     "type": {
                         "type": "string",
-                        "const": "dataset_grader",
-                        "default": "dataset_grader"
+                        "const": "dataset",
+                        "default": "dataset"
                     },
                     "dataset_id": {
                         "type": "string"
@@ -7474,26 +8592,26 @@
                     "dataset_id",
                     "grader_ids"
                 ],
-                "title": "DatasetGraderTask"
+                "title": "DatasetEvaluationTask"
             },
             "EvaluationTask": {
                 "oneOf": [
                     {
-                        "$ref": "#/components/schemas/BenchmarkTask"
+                        "$ref": "#/components/schemas/BenchmarkEvaluationTask"
                     },
                     {
-                        "$ref": "#/components/schemas/DatasetGraderTask"
+                        "$ref": "#/components/schemas/DatasetEvaluationTask"
                     },
                     {
-                        "$ref": "#/components/schemas/DataSourceGraderTask"
+                        "$ref": "#/components/schemas/DataEvaluationTask"
                     }
                 ],
                 "discriminator": {
                     "propertyName": "type",
                     "mapping": {
-                        "benchmark_id": "#/components/schemas/BenchmarkTask",
-                        "dataset_grader": "#/components/schemas/DatasetGraderTask",
-                        "data_source_grader": "#/components/schemas/DataSourceGraderTask"
+                        "benchmark": "#/components/schemas/BenchmarkEvaluationTask",
+                        "dataset": "#/components/schemas/DatasetEvaluationTask",
+                        "data": "#/components/schemas/DataEvaluationTask"
                     }
                 }
             },
@@ -7511,27 +8629,6 @@
                 ],
                 "title": "GradeRequest"
             },
-            "AgentCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "agent",
-                        "default": "agent"
-                    },
-                    "config": {
-                        "$ref": "#/components/schemas/AgentConfig",
-                        "description": "The configuration for the agent candidate."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "config"
-                ],
-                "title": "AgentCandidate",
-                "description": "An agent candidate for evaluation."
-            },
             "EvaluationCandidate": {
                 "oneOf": [
                     {
@@ -7572,10 +8669,10 @@
                         "format": "date-time",
                         "description": "The time the job was created."
                     },
-                    "ended_at": {
+                    "completed_at": {
                         "type": "string",
                         "format": "date-time",
-                        "description": "The time the job ended."
+                        "description": "The time the job completed."
                     },
                     "error": {
                         "type": "string",
@@ -7604,35 +8701,6 @@
                 ],
                 "title": "EvaluationJob"
             },
-            "ModelCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "model",
-                        "default": "model"
-                    },
-                    "model_id": {
-                        "type": "string"
-                    },
-                    "sampling_params": {
-                        "$ref": "#/components/schemas/SamplingParams",
-                        "description": "The sampling parameters for the model."
-                    },
-                    "system_message": {
-                        "$ref": "#/components/schemas/SystemMessage",
-                        "description": "(Optional) The system message providing instructions or context to the model."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "model_id",
-                    "sampling_params"
-                ],
-                "title": "ModelCandidate",
-                "description": "A model candidate for evaluation."
-            },
             "GradeSyncRequest": {
                 "type": "object",
                 "properties": {
@@ -7695,73 +8763,6 @@
                 "title": "EvaluationResponse",
                 "description": "A response to an inline evaluation."
             },
-            "ScoringResult": {
-                "type": "object",
-                "properties": {
-                    "scores": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The scoring result for each row. Each row is a map of grader column name to value."
-                    },
-                    "metrics": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "type": "null"
-                                },
-                                {
-                                    "type": "boolean"
-                                },
-                                {
-                                    "type": "number"
-                                },
-                                {
-                                    "type": "string"
-                                },
-                                {
-                                    "type": "array"
-                                },
-                                {
-                                    "type": "object"
-                                }
-                            ]
-                        },
-                        "description": "Map of metric name to aggregated value."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "scores",
-                    "metrics"
-                ],
-                "title": "ScoringResult",
-                "description": "A scoring result for a single row."
-            },
             "HealthInfo": {
                 "type": "object",
                 "properties": {
@@ -8094,6 +9095,17 @@
                 "title": "IterrowsResponse",
                 "description": "A paginated list of rows from a dataset."
             },
+            "JobStatus": {
+                "type": "string",
+                "enum": [
+                    "completed",
+                    "in_progress",
+                    "failed",
+                    "scheduled",
+                    "cancelled"
+                ],
+                "title": "JobStatus"
+            },
             "ListAgentSessionsResponse": {
                 "type": "object",
                 "properties": {
@@ -8266,6 +9278,22 @@
                 ],
                 "title": "ListGraderTypesResponse"
             },
+            "ListGradersResponse": {
+                "type": "object",
+                "properties": {
+                    "data": {
+                        "type": "array",
+                        "items": {
+                            "$ref": "#/components/schemas/Grader"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "data"
+                ],
+                "title": "ListGradersResponse"
+            },
             "ListModelsResponse": {
                 "type": "object",
                 "properties": {
@@ -8338,6 +9366,22 @@
                 ],
                 "title": "ListRoutesResponse"
             },
+            "ListScoringFunctionsResponse": {
+                "type": "object",
+                "properties": {
+                    "data": {
+                        "type": "array",
+                        "items": {
+                            "$ref": "#/components/schemas/ScoringFn"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "data"
+                ],
+                "title": "ListScoringFunctionsResponse"
+            },
             "ListShieldsResponse": {
                 "type": "object",
                 "properties": {
@@ -9330,7 +10374,7 @@
                 "properties": {
                     "dataset_id": {
                         "type": "string",
-                        "description": "The ID of the dataset to used to run the benchmark."
+                        "description": "The ID of the dataset to be used to run the benchmark."
                     },
                     "grader_ids": {
                         "type": "array",
@@ -9522,6 +10566,36 @@
                 ],
                 "title": "RegisterModelRequest"
             },
+            "RegisterScoringFunctionRequest": {
+                "type": "object",
+                "properties": {
+                    "scoring_fn_id": {
+                        "type": "string"
+                    },
+                    "description": {
+                        "type": "string"
+                    },
+                    "return_type": {
+                        "$ref": "#/components/schemas/ParamType"
+                    },
+                    "provider_scoring_fn_id": {
+                        "type": "string"
+                    },
+                    "provider_id": {
+                        "type": "string"
+                    },
+                    "params": {
+                        "$ref": "#/components/schemas/ScoringFnParams"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "scoring_fn_id",
+                    "description",
+                    "return_type"
+                ],
+                "title": "RegisterScoringFunctionRequest"
+            },
             "RegisterShieldRequest": {
                 "type": "object",
                 "properties": {
@@ -9677,6 +10751,33 @@
                 ],
                 "title": "RunRequest"
             },
+            "RunEvalRequest": {
+                "type": "object",
+                "properties": {
+                    "benchmark_config": {
+                        "$ref": "#/components/schemas/BenchmarkConfig",
+                        "description": "The configuration for the benchmark."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "benchmark_config"
+                ],
+                "title": "RunEvalRequest"
+            },
+            "Job": {
+                "type": "object",
+                "properties": {
+                    "job_id": {
+                        "type": "string"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "job_id"
+                ],
+                "title": "Job"
+            },
             "RunShieldRequest": {
                 "type": "object",
                 "properties": {
@@ -9782,6 +10883,128 @@
                 ],
                 "title": "SaveSpansToDatasetRequest"
             },
+            "ScoreRequest": {
+                "type": "object",
+                "properties": {
+                    "input_rows": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The rows to score."
+                    },
+                    "scoring_functions": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "$ref": "#/components/schemas/ScoringFnParams"
+                                },
+                                {
+                                    "type": "null"
+                                }
+                            ]
+                        },
+                        "description": "The scoring functions to use for the scoring."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "input_rows",
+                    "scoring_functions"
+                ],
+                "title": "ScoreRequest"
+            },
+            "ScoreResponse": {
+                "type": "object",
+                "properties": {
+                    "results": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "$ref": "#/components/schemas/ScoringResult"
+                        },
+                        "description": "A map of scoring function name to ScoringResult."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "results"
+                ],
+                "title": "ScoreResponse",
+                "description": "The response from scoring."
+            },
+            "ScoreBatchRequest": {
+                "type": "object",
+                "properties": {
+                    "dataset_id": {
+                        "type": "string"
+                    },
+                    "scoring_functions": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "oneOf": [
+                                {
+                                    "$ref": "#/components/schemas/ScoringFnParams"
+                                },
+                                {
+                                    "type": "null"
+                                }
+                            ]
+                        }
+                    },
+                    "save_results_dataset": {
+                        "type": "boolean"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "dataset_id",
+                    "scoring_functions",
+                    "save_results_dataset"
+                ],
+                "title": "ScoreBatchRequest"
+            },
+            "ScoreBatchResponse": {
+                "type": "object",
+                "properties": {
+                    "dataset_id": {
+                        "type": "string"
+                    },
+                    "results": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "$ref": "#/components/schemas/ScoringResult"
+                        }
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "results"
+                ],
+                "title": "ScoreBatchResponse"
+            },
             "AlgorithmConfig": {
                 "oneOf": [
                     {
@@ -10144,6 +11367,10 @@
         {
             "name": "Datasets"
         },
+        {
+            "name": "Eval",
+            "x-displayName": "Llama Stack Evaluation API for running evaluations on model and agent candidates."
+        },
         {
             "name": "Evaluation"
         },
@@ -10174,6 +11401,12 @@
         {
             "name": "Safety"
         },
+        {
+            "name": "Scoring"
+        },
+        {
+            "name": "ScoringFunctions"
+        },
         {
             "name": "Shields"
         },
@@ -10205,6 +11438,7 @@
                 "Benchmarks",
                 "DatasetIO",
                 "Datasets",
+                "Eval",
                 "Evaluation",
                 "Files",
                 "Graders",
@@ -10214,6 +11448,8 @@
                 "PostTraining (Coming Soon)",
                 "Providers",
                 "Safety",
+                "Scoring",
+                "ScoringFunctions",
                 "Shields",
                 "SyntheticDataGeneration (Coming Soon)",
                 "Telemetry",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index b0db86389..ecc8104e1 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -589,59 +589,6 @@ paths:
           required: true
           schema:
             type: string
-  /v1/graders/{grader_id}:
-    get:
-      responses:
-        '200':
-          description: The grader.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/Grader'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Graders
-      description: Get a grader by ID.
-      parameters:
-        - name: grader_id
-          in: path
-          description: The ID of the grader.
-          required: true
-          schema:
-            type: string
-    delete:
-      responses:
-        '200':
-          description: OK
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Graders
-      description: Delete a grader by ID.
-      parameters:
-        - name: grader_id
-          in: path
-          description: The ID of the grader.
-          required: true
-          schema:
-            type: string
   /v1/inference/embeddings:
     post:
       responses:
@@ -675,6 +622,43 @@ paths:
             schema:
               $ref: '#/components/schemas/EmbeddingsRequest'
         required: true
+  /v1/eval/benchmarks/{benchmark_id}/evaluations:
+    post:
+      responses:
+        '200':
+          description: >-
+            EvaluateResponse object containing generations and scores
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluateResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Eval
+      description: Evaluate a list of rows on a benchmark.
+      parameters:
+        - name: benchmark_id
+          in: path
+          description: >-
+            The ID of the benchmark to run the evaluation on.
+          required: true
+          schema:
+            type: string
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/EvaluateRowsRequest'
+        required: true
   /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}:
     get:
       responses:
@@ -794,6 +778,29 @@ paths:
           required: true
           schema:
             type: string
+    delete:
+      responses:
+        '200':
+          description: OK
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Benchmarks
+      description: Unregister a benchmark by ID.
+      parameters:
+        - name: benchmark_id
+          in: path
+          required: true
+          schema:
+            type: string
   /v1/datasets/{dataset_id}:
     get:
       responses:
@@ -845,6 +852,59 @@ paths:
           required: true
           schema:
             type: string
+  /v1/graders/{grader_id}:
+    get:
+      responses:
+        '200':
+          description: The grader.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/Grader'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Graders
+      description: Get a grader by ID.
+      parameters:
+        - name: grader_id
+          in: path
+          description: The ID of the grader.
+          required: true
+          schema:
+            type: string
+    delete:
+      responses:
+        '200':
+          description: OK
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Graders
+      description: Unregister a grader by ID.
+      parameters:
+        - name: grader_id
+          in: path
+          description: The ID of the grader.
+          required: true
+          schema:
+            type: string
   /v1/models/{model_id}:
     get:
       responses:
@@ -896,6 +956,34 @@ paths:
           required: true
           schema:
             type: string
+  /v1/scoring-functions/{scoring_fn_id}:
+    get:
+      responses:
+        '200':
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/ScoringFn'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - ScoringFunctions
+      description: ''
+      parameters:
+        - name: scoring_fn_id
+          in: path
+          required: true
+          schema:
+            type: string
   /v1/shields/{identifier}:
     get:
       responses:
@@ -1536,6 +1624,109 @@ paths:
           required: false
           schema:
             type: integer
+  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}:
+    get:
+      responses:
+        '200':
+          description: The status of the evaluationjob.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/JobStatus'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Eval
+      description: Get the status of a job.
+      parameters:
+        - name: benchmark_id
+          in: path
+          description: >-
+            The ID of the benchmark to run the evaluation on.
+          required: true
+          schema:
+            type: string
+        - name: job_id
+          in: path
+          description: The ID of the job to get the status of.
+          required: true
+          schema:
+            type: string
+    delete:
+      responses:
+        '200':
+          description: OK
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Eval
+      description: Cancel a job.
+      parameters:
+        - name: benchmark_id
+          in: path
+          description: >-
+            The ID of the benchmark to run the evaluation on.
+          required: true
+          schema:
+            type: string
+        - name: job_id
+          in: path
+          description: The ID of the job to cancel.
+          required: true
+          schema:
+            type: string
+  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result:
+    get:
+      responses:
+        '200':
+          description: The result of the job.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluateResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Eval
+      description: Get the result of a job.
+      parameters:
+        - name: benchmark_id
+          in: path
+          description: >-
+            The ID of the benchmark to run the evaluation on.
+          required: true
+          schema:
+            type: string
+        - name: job_id
+          in: path
+          description: The ID of the job to get the result of.
+          required: true
+          schema:
+            type: string
   /v1/agents/{agent_id}/sessions:
     get:
       responses:
@@ -1727,9 +1918,9 @@ paths:
         '200':
           description: A list of graders.
           content:
-            application/jsonl:
+            application/json:
               schema:
-                $ref: '#/components/schemas/Grader'
+                $ref: '#/components/schemas/ListGradersResponse'
         '400':
           $ref: '#/components/responses/BadRequest400'
         '429':
@@ -1902,6 +2093,53 @@ paths:
           required: false
           schema:
             $ref: '#/components/schemas/URL'
+  /v1/scoring-functions:
+    get:
+      responses:
+        '200':
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/ListScoringFunctionsResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - ScoringFunctions
+      description: ''
+      parameters: []
+    post:
+      responses:
+        '200':
+          description: OK
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - ScoringFunctions
+      description: ''
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/RegisterScoringFunctionRequest'
+        required: true
   /v1/shields:
     get:
       responses:
@@ -2336,6 +2574,43 @@ paths:
             schema:
               $ref: '#/components/schemas/RunRequest'
         required: true
+  /v1/eval/benchmarks/{benchmark_id}/jobs:
+    post:
+      responses:
+        '200':
+          description: >-
+            The job that was created to run the evaluation.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/Job'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Eval
+      description: Run an evaluation on a benchmark.
+      parameters:
+        - name: benchmark_id
+          in: path
+          description: >-
+            The ID of the benchmark to run the evaluation on.
+          required: true
+          schema:
+            type: string
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/RunEvalRequest'
+        required: true
   /v1/safety/run-shield:
     post:
       responses:
@@ -2419,6 +2694,65 @@ paths:
             schema:
               $ref: '#/components/schemas/SaveSpansToDatasetRequest'
         required: true
+  /v1/scoring/score:
+    post:
+      responses:
+        '200':
+          description: >-
+            ScoreResponse object containing rows and aggregated results
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/ScoreResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Scoring
+      description: Score a list of rows.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/ScoreRequest'
+        required: true
+  /v1/scoring/score-batch:
+    post:
+      responses:
+        '200':
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/ScoreBatchResponse'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Scoring
+      description: ''
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/ScoreBatchRequest'
+        required: true
   /v1/post-training/supervised-fine-tune:
     post:
       responses:
@@ -4308,6 +4642,251 @@ components:
       title: EmbeddingsResponse
       description: >-
         Response containing generated embeddings.
+    AgentCandidate:
+      type: object
+      properties:
+        type:
+          type: string
+          const: agent
+          default: agent
+        config:
+          $ref: '#/components/schemas/AgentConfig'
+          description: >-
+            The configuration for the agent candidate.
+      additionalProperties: false
+      required:
+        - type
+        - config
+      title: AgentCandidate
+      description: An agent candidate for evaluation.
+    AggregationFunctionType:
+      type: string
+      enum:
+        - average
+        - median
+        - categorical_count
+        - accuracy
+      title: AggregationFunctionType
+    BasicScoringFnParams:
+      type: object
+      properties:
+        type:
+          type: string
+          const: basic
+          default: basic
+        aggregation_functions:
+          type: array
+          items:
+            $ref: '#/components/schemas/AggregationFunctionType'
+      additionalProperties: false
+      required:
+        - type
+      title: BasicScoringFnParams
+    BenchmarkConfig:
+      type: object
+      properties:
+        eval_candidate:
+          $ref: '#/components/schemas/EvalCandidate'
+          description: The candidate to evaluate.
+        scoring_params:
+          type: object
+          additionalProperties:
+            $ref: '#/components/schemas/ScoringFnParams'
+          description: >-
+            Map between scoring function id and parameters for each scoring function
+            you want to run
+        num_examples:
+          type: integer
+          description: >-
+            (Optional) The number of examples to evaluate. If not provided, all examples
+            in the dataset will be evaluated
+      additionalProperties: false
+      required:
+        - eval_candidate
+        - scoring_params
+      title: BenchmarkConfig
+      description: >-
+        A benchmark configuration for evaluation.
+    EvalCandidate:
+      oneOf:
+        - $ref: '#/components/schemas/ModelCandidate'
+        - $ref: '#/components/schemas/AgentCandidate'
+      discriminator:
+        propertyName: type
+        mapping:
+          model: '#/components/schemas/ModelCandidate'
+          agent: '#/components/schemas/AgentCandidate'
+    LLMAsJudgeScoringFnParams:
+      type: object
+      properties:
+        type:
+          type: string
+          const: llm_as_judge
+          default: llm_as_judge
+        judge_model:
+          type: string
+        prompt_template:
+          type: string
+        judge_score_regexes:
+          type: array
+          items:
+            type: string
+        aggregation_functions:
+          type: array
+          items:
+            $ref: '#/components/schemas/AggregationFunctionType'
+      additionalProperties: false
+      required:
+        - type
+        - judge_model
+      title: LLMAsJudgeScoringFnParams
+    ModelCandidate:
+      type: object
+      properties:
+        type:
+          type: string
+          const: model
+          default: model
+        model:
+          type: string
+          description: The model ID to evaluate.
+        sampling_params:
+          $ref: '#/components/schemas/SamplingParams'
+          description: The sampling parameters for the model.
+        system_message:
+          $ref: '#/components/schemas/SystemMessage'
+          description: >-
+            (Optional) The system message providing instructions or context to the
+            model.
+      additionalProperties: false
+      required:
+        - type
+        - model
+        - sampling_params
+      title: ModelCandidate
+      description: A model candidate for evaluation.
+    RegexParserScoringFnParams:
+      type: object
+      properties:
+        type:
+          type: string
+          const: regex_parser
+          default: regex_parser
+        parsing_regexes:
+          type: array
+          items:
+            type: string
+        aggregation_functions:
+          type: array
+          items:
+            $ref: '#/components/schemas/AggregationFunctionType'
+      additionalProperties: false
+      required:
+        - type
+      title: RegexParserScoringFnParams
+    ScoringFnParams:
+      oneOf:
+        - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams'
+        - $ref: '#/components/schemas/RegexParserScoringFnParams'
+        - $ref: '#/components/schemas/BasicScoringFnParams'
+      discriminator:
+        propertyName: type
+        mapping:
+          llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams'
+          regex_parser: '#/components/schemas/RegexParserScoringFnParams'
+          basic: '#/components/schemas/BasicScoringFnParams'
+    EvaluateRowsRequest:
+      type: object
+      properties:
+        input_rows:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: The rows to evaluate.
+        scoring_functions:
+          type: array
+          items:
+            type: string
+          description: >-
+            The scoring functions to use for the evaluation.
+        benchmark_config:
+          $ref: '#/components/schemas/BenchmarkConfig'
+          description: The configuration for the benchmark.
+      additionalProperties: false
+      required:
+        - input_rows
+        - scoring_functions
+        - benchmark_config
+      title: EvaluateRowsRequest
+    EvaluateResponse:
+      type: object
+      properties:
+        generations:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: The generations from the evaluation.
+        scores:
+          type: object
+          additionalProperties:
+            $ref: '#/components/schemas/ScoringResult'
+          description: The scores from the evaluation.
+      additionalProperties: false
+      required:
+        - generations
+        - scores
+      title: EvaluateResponse
+      description: The response from an evaluation.
+    ScoringResult:
+      type: object
+      properties:
+        score_rows:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: >-
+            The scoring result for each row. Each row is a map of column name to value.
+        aggregated_results:
+          type: object
+          additionalProperties:
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+          description: Map of metric name to aggregated value
+      additionalProperties: false
+      required:
+        - score_rows
+        - aggregated_results
+      title: ScoringResult
+      description: A scoring result for a single row.
     Agent:
       type: object
       properties:
@@ -4803,6 +5382,179 @@ components:
         - llm
         - embedding
       title: ModelType
+    AgentTurnInputType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: agent_turn_input
+          default: agent_turn_input
+      additionalProperties: false
+      required:
+        - type
+      title: AgentTurnInputType
+    ArrayType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: array
+          default: array
+      additionalProperties: false
+      required:
+        - type
+      title: ArrayType
+    BooleanType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: boolean
+          default: boolean
+      additionalProperties: false
+      required:
+        - type
+      title: BooleanType
+    ChatCompletionInputType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: chat_completion_input
+          default: chat_completion_input
+      additionalProperties: false
+      required:
+        - type
+      title: ChatCompletionInputType
+    CompletionInputType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: completion_input
+          default: completion_input
+      additionalProperties: false
+      required:
+        - type
+      title: CompletionInputType
+    JsonType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: json
+          default: json
+      additionalProperties: false
+      required:
+        - type
+      title: JsonType
+    NumberType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: number
+          default: number
+      additionalProperties: false
+      required:
+        - type
+      title: NumberType
+    ObjectType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: object
+          default: object
+      additionalProperties: false
+      required:
+        - type
+      title: ObjectType
+    ParamType:
+      oneOf:
+        - $ref: '#/components/schemas/StringType'
+        - $ref: '#/components/schemas/NumberType'
+        - $ref: '#/components/schemas/BooleanType'
+        - $ref: '#/components/schemas/ArrayType'
+        - $ref: '#/components/schemas/ObjectType'
+        - $ref: '#/components/schemas/JsonType'
+        - $ref: '#/components/schemas/UnionType'
+        - $ref: '#/components/schemas/ChatCompletionInputType'
+        - $ref: '#/components/schemas/CompletionInputType'
+        - $ref: '#/components/schemas/AgentTurnInputType'
+      discriminator:
+        propertyName: type
+        mapping:
+          string: '#/components/schemas/StringType'
+          number: '#/components/schemas/NumberType'
+          boolean: '#/components/schemas/BooleanType'
+          array: '#/components/schemas/ArrayType'
+          object: '#/components/schemas/ObjectType'
+          json: '#/components/schemas/JsonType'
+          union: '#/components/schemas/UnionType'
+          chat_completion_input: '#/components/schemas/ChatCompletionInputType'
+          completion_input: '#/components/schemas/CompletionInputType'
+          agent_turn_input: '#/components/schemas/AgentTurnInputType'
+    ScoringFn:
+      type: object
+      properties:
+        identifier:
+          type: string
+        provider_resource_id:
+          type: string
+        provider_id:
+          type: string
+        type:
+          type: string
+          const: scoring_function
+          default: scoring_function
+        description:
+          type: string
+        metadata:
+          type: object
+          additionalProperties:
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+        return_type:
+          $ref: '#/components/schemas/ParamType'
+        params:
+          $ref: '#/components/schemas/ScoringFnParams'
+      additionalProperties: false
+      required:
+        - identifier
+        - provider_resource_id
+        - provider_id
+        - type
+        - metadata
+        - return_type
+      title: ScoringFn
+    StringType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: string
+          default: string
+      additionalProperties: false
+      required:
+        - type
+      title: StringType
+    UnionType:
+      type: object
+      properties:
+        type:
+          type: string
+          const: union
+          default: union
+      additionalProperties: false
+      required:
+        - type
+      title: UnionType
     Shield:
       type: object
       properties:
@@ -5141,27 +5893,27 @@ components:
         - embedding_model
         - embedding_dimension
       title: VectorDB
-    BenchmarkTask:
+    BenchmarkEvaluationTask:
       type: object
       properties:
         type:
           type: string
-          const: benchmark_id
-          default: benchmark_id
+          const: benchmark
+          default: benchmark
         benchmark_id:
           type: string
       additionalProperties: false
       required:
         - type
         - benchmark_id
-      title: BenchmarkTask
-    DataSourceGraderTask:
+      title: BenchmarkEvaluationTask
+    DataEvaluationTask:
       type: object
       properties:
         type:
           type: string
-          const: data_source_grader
-          default: data_source_grader
+          const: data
+          default: data
         data_source:
           $ref: '#/components/schemas/DataSource'
         grader_ids:
@@ -5173,14 +5925,14 @@ components:
         - type
         - data_source
         - grader_ids
-      title: DataSourceGraderTask
-    DatasetGraderTask:
+      title: DataEvaluationTask
+    DatasetEvaluationTask:
       type: object
       properties:
         type:
           type: string
-          const: dataset_grader
-          default: dataset_grader
+          const: dataset
+          default: dataset
         dataset_id:
           type: string
         grader_ids:
@@ -5192,18 +5944,18 @@ components:
         - type
         - dataset_id
         - grader_ids
-      title: DatasetGraderTask
+      title: DatasetEvaluationTask
     EvaluationTask:
       oneOf:
-        - $ref: '#/components/schemas/BenchmarkTask'
-        - $ref: '#/components/schemas/DatasetGraderTask'
-        - $ref: '#/components/schemas/DataSourceGraderTask'
+        - $ref: '#/components/schemas/BenchmarkEvaluationTask'
+        - $ref: '#/components/schemas/DatasetEvaluationTask'
+        - $ref: '#/components/schemas/DataEvaluationTask'
       discriminator:
         propertyName: type
         mapping:
-          benchmark_id: '#/components/schemas/BenchmarkTask'
-          dataset_grader: '#/components/schemas/DatasetGraderTask'
-          data_source_grader: '#/components/schemas/DataSourceGraderTask'
+          benchmark: '#/components/schemas/BenchmarkEvaluationTask'
+          dataset: '#/components/schemas/DatasetEvaluationTask'
+          data: '#/components/schemas/DataEvaluationTask'
     GradeRequest:
       type: object
       properties:
@@ -5218,23 +5970,6 @@ components:
       required:
         - task
       title: GradeRequest
-    AgentCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: agent
-          default: agent
-        config:
-          $ref: '#/components/schemas/AgentConfig'
-          description: >-
-            The configuration for the agent candidate.
-      additionalProperties: false
-      required:
-        - type
-        - config
-      title: AgentCandidate
-      description: An agent candidate for evaluation.
     EvaluationCandidate:
       oneOf:
         - $ref: '#/components/schemas/ModelCandidate'
@@ -5263,10 +5998,10 @@ components:
           type: string
           format: date-time
           description: The time the job was created.
-        ended_at:
+        completed_at:
           type: string
           format: date-time
-          description: The time the job ended.
+          description: The time the job completed.
         error:
           type: string
           description: >-
@@ -5288,30 +6023,6 @@ components:
         - task
         - candidate
       title: EvaluationJob
-    ModelCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: model
-          default: model
-        model_id:
-          type: string
-        sampling_params:
-          $ref: '#/components/schemas/SamplingParams'
-          description: The sampling parameters for the model.
-        system_message:
-          $ref: '#/components/schemas/SystemMessage'
-          description: >-
-            (Optional) The system message providing instructions or context to the
-            model.
-      additionalProperties: false
-      required:
-        - type
-        - model_id
-        - sampling_params
-      title: ModelCandidate
-      description: A model candidate for evaluation.
     GradeSyncRequest:
       type: object
       properties:
@@ -5355,41 +6066,6 @@ components:
         - scores
       title: EvaluationResponse
       description: A response to an inline evaluation.
-    ScoringResult:
-      type: object
-      properties:
-        scores:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: >-
-            The scoring result for each row. Each row is a map of grader column name
-            to value.
-        metrics:
-          type: object
-          additionalProperties:
-            oneOf:
-              - type: 'null'
-              - type: boolean
-              - type: number
-              - type: string
-              - type: array
-              - type: object
-          description: Map of metric name to aggregated value.
-      additionalProperties: false
-      required:
-        - scores
-        - metrics
-      title: ScoringResult
-      description: A scoring result for a single row.
     HealthInfo:
       type: object
       properties:
@@ -5576,6 +6252,15 @@ components:
         - data
       title: IterrowsResponse
       description: A paginated list of rows from a dataset.
+    JobStatus:
+      type: string
+      enum:
+        - completed
+        - in_progress
+        - failed
+        - scheduled
+        - cancelled
+      title: JobStatus
     ListAgentSessionsResponse:
       type: object
       properties:
@@ -5707,6 +6392,17 @@ components:
       required:
         - data
       title: ListGraderTypesResponse
+    ListGradersResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: '#/components/schemas/Grader'
+      additionalProperties: false
+      required:
+        - data
+      title: ListGradersResponse
     ListModelsResponse:
       type: object
       properties:
@@ -5757,6 +6453,17 @@ components:
       required:
         - data
       title: ListRoutesResponse
+    ListScoringFunctionsResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: '#/components/schemas/ScoringFn'
+      additionalProperties: false
+      required:
+        - data
+      title: ListScoringFunctionsResponse
     ListShieldsResponse:
       type: object
       properties:
@@ -6394,7 +7101,7 @@ components:
         dataset_id:
           type: string
           description: >-
-            The ID of the dataset to used to run the benchmark.
+            The ID of the dataset to be used to run the benchmark.
         grader_ids:
           type: array
           items:
@@ -6532,6 +7239,27 @@ components:
       required:
         - model_id
       title: RegisterModelRequest
+    RegisterScoringFunctionRequest:
+      type: object
+      properties:
+        scoring_fn_id:
+          type: string
+        description:
+          type: string
+        return_type:
+          $ref: '#/components/schemas/ParamType'
+        provider_scoring_fn_id:
+          type: string
+        provider_id:
+          type: string
+        params:
+          $ref: '#/components/schemas/ScoringFnParams'
+      additionalProperties: false
+      required:
+        - scoring_fn_id
+        - description
+        - return_type
+      title: RegisterScoringFunctionRequest
     RegisterShieldRequest:
       type: object
       properties:
@@ -6631,6 +7359,25 @@ components:
         - task
         - candidate
       title: RunRequest
+    RunEvalRequest:
+      type: object
+      properties:
+        benchmark_config:
+          $ref: '#/components/schemas/BenchmarkConfig'
+          description: The configuration for the benchmark.
+      additionalProperties: false
+      required:
+        - benchmark_config
+      title: RunEvalRequest
+    Job:
+      type: object
+      properties:
+        job_id:
+          type: string
+      additionalProperties: false
+      required:
+        - job_id
+      title: Job
     RunShieldRequest:
       type: object
       properties:
@@ -6702,6 +7449,81 @@ components:
         - attributes_to_save
         - dataset_id
       title: SaveSpansToDatasetRequest
+    ScoreRequest:
+      type: object
+      properties:
+        input_rows:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: The rows to score.
+        scoring_functions:
+          type: object
+          additionalProperties:
+            oneOf:
+              - $ref: '#/components/schemas/ScoringFnParams'
+              - type: 'null'
+          description: >-
+            The scoring functions to use for the scoring.
+      additionalProperties: false
+      required:
+        - input_rows
+        - scoring_functions
+      title: ScoreRequest
+    ScoreResponse:
+      type: object
+      properties:
+        results:
+          type: object
+          additionalProperties:
+            $ref: '#/components/schemas/ScoringResult'
+          description: >-
+            A map of scoring function name to ScoringResult.
+      additionalProperties: false
+      required:
+        - results
+      title: ScoreResponse
+      description: The response from scoring.
+    ScoreBatchRequest:
+      type: object
+      properties:
+        dataset_id:
+          type: string
+        scoring_functions:
+          type: object
+          additionalProperties:
+            oneOf:
+              - $ref: '#/components/schemas/ScoringFnParams'
+              - type: 'null'
+        save_results_dataset:
+          type: boolean
+      additionalProperties: false
+      required:
+        - dataset_id
+        - scoring_functions
+        - save_results_dataset
+      title: ScoreBatchRequest
+    ScoreBatchResponse:
+      type: object
+      properties:
+        dataset_id:
+          type: string
+        results:
+          type: object
+          additionalProperties:
+            $ref: '#/components/schemas/ScoringResult'
+      additionalProperties: false
+      required:
+        - results
+      title: ScoreBatchResponse
     AlgorithmConfig:
       oneOf:
         - $ref: '#/components/schemas/LoraFinetuningConfig'
@@ -6939,6 +7761,9 @@ tags:
   - name: Benchmarks
   - name: DatasetIO
   - name: Datasets
+  - name: Eval
+    x-displayName: >-
+      Llama Stack Evaluation API for running evaluations on model and agent candidates.
   - name: Evaluation
   - name: Files
   - name: Graders
@@ -6961,6 +7786,8 @@ tags:
     x-displayName: >-
       Providers API for inspecting, listing, and modifying providers and their configurations.
   - name: Safety
+  - name: Scoring
+  - name: ScoringFunctions
   - name: Shields
   - name: SyntheticDataGeneration (Coming Soon)
   - name: Telemetry
@@ -6976,6 +7803,7 @@ x-tagGroups:
       - Benchmarks
       - DatasetIO
       - Datasets
+      - Eval
       - Evaluation
       - Files
       - Graders
@@ -6985,6 +7813,8 @@ x-tagGroups:
       - PostTraining (Coming Soon)
       - Providers
       - Safety
+      - Scoring
+      - ScoringFunctions
       - Shields
       - SyntheticDataGeneration (Coming Soon)
       - Telemetry
diff --git a/llama_stack/apis/benchmarks/benchmarks.py b/llama_stack/apis/benchmarks/benchmarks.py
index 11db4d350..8017e5c27 100644
--- a/llama_stack/apis/benchmarks/benchmarks.py
+++ b/llama_stack/apis/benchmarks/benchmarks.py
@@ -62,7 +62,7 @@ class Benchmarks(Protocol):
         """
         Register a new benchmark.
 
-        :param dataset_id: The ID of the dataset to used to run the benchmark.
+        :param dataset_id: The ID of the dataset to be used to run the benchmark.
         :param grader_ids: List of grader ids to use for this benchmark.
         :param benchmark_id: (Optional) The ID of the benchmark to register. If not provided, an ID will be generated.
         :param metadata: (Optional) Metadata for this benchmark for additional descriptions.
@@ -87,3 +87,10 @@ class Benchmarks(Protocol):
         :param benchmark_id: The ID of the benchmark to get.
         """
         ...
+
+    @webmethod(route="/benchmarks/{benchmark_id}", method="DELETE")
+    async def unregister_benchmark(self, benchmark_id: str) -> None:
+        """
+        Unregister a benchmark by ID.
+        """
+        ...
diff --git a/llama_stack/apis/common/job_types.py b/llama_stack/apis/common/job_types.py
index 57775754b..307e3fa54 100644
--- a/llama_stack/apis/common/job_types.py
+++ b/llama_stack/apis/common/job_types.py
@@ -5,7 +5,6 @@
 # the root directory of this source tree.
 from datetime import datetime
 from enum import Enum
-from typing import Optional
 
 from pydantic import BaseModel
 
@@ -38,12 +37,12 @@ class CommonJobFields(BaseModel):
     :param id: The ID of the job.
     :param status: The status of the job.
     :param created_at: The time the job was created.
-    :param ended_at: The time the job ended.
+    :param completed_at: The time the job completed.
     :param error: If status of the job is failed, this will contain the error message.
     """
 
     id: str
     status: JobStatus
     created_at: datetime
-    ended_at: Optional[datetime] = None
-    error: Optional[str] = None
+    completed_at: datetime | None = None
+    error: str | None = None
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index faa620872..e667acfd4 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -48,28 +48,28 @@ EvaluationCandidate = register_schema(
 
 
 @json_schema_type
-class BenchmarkTask(BaseModel):
-    type: Literal["benchmark_id"] = "benchmark_id"
+class BenchmarkEvaluationTask(BaseModel):
+    type: Literal["benchmark"] = "benchmark"
     benchmark_id: str
 
 
 @json_schema_type
-class DatasetGraderTask(BaseModel):
-    type: Literal["dataset_grader"] = "dataset_grader"
+class DatasetEvaluationTask(BaseModel):
+    type: Literal["dataset"] = "dataset"
     dataset_id: str
     grader_ids: List[str]
 
 
 @json_schema_type
-class DataSourceGraderTask(BaseModel):
-    type: Literal["data_source_grader"] = "data_source_grader"
+class DataEvaluationTask(BaseModel):
+    type: Literal["data"] = "data"
     data_source: DataSource
     grader_ids: List[str]
 
 
 EvaluationTask = register_schema(
     Annotated[
-        Union[BenchmarkTask, DatasetGraderTask, DataSourceGraderTask],
+        Union[BenchmarkEvaluationTask, DatasetEvaluationTask, DataEvaluationTask],
         Field(discriminator="type"),
     ],
     name="EvaluationTask",
diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
index 98b85552a..522559c3f 100644
--- a/llama_stack/apis/graders/graders.py
+++ b/llama_stack/apis/graders/graders.py
@@ -29,6 +29,13 @@ from .graders import *  # noqa: F401 F403
 class GraderType(Enum):
     """
     A type of grader. Each type is a criteria for evaluating answers.
+
+    :cvar llm: Use an LLM to score the answer.
+    :cvar regex_parser: Use a regex parser to score the answer.
+    :cvar equality: Check if the answer is equal to the reference answer.
+    :cvar subset_of: Check if the answer is a subset of the reference answer.
+    :cvar factuality: Check if the answer is factually correct using LLM as judge.
+    :cvar faithfulness: Check if the answer is faithful to the reference answer using LLM as judge.
     """
 
     llm = "llm"
@@ -221,9 +228,9 @@ class Graders(Protocol):
         ...
 
     @webmethod(route="/graders/{grader_id:path}", method="DELETE")
-    async def delete_grader(self, grader_id: str) -> None:
+    async def unregister_grader(self, grader_id: str) -> None:
         """
-        Delete a grader by ID.
+        Unregister a grader by ID.
         :param grader_id: The ID of the grader.
         """
         ...
diff --git a/llama_stack/distribution/stack.py b/llama_stack/distribution/stack.py
index b4862537a..a5fa0fe39 100644
--- a/llama_stack/distribution/stack.py
+++ b/llama_stack/distribution/stack.py
@@ -17,6 +17,7 @@ from llama_stack.apis.batch_inference import BatchInference
 from llama_stack.apis.benchmarks import Benchmarks
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Datasets
+from llama_stack.apis.eval import Eval
 from llama_stack.apis.evaluation import Evaluation
 from llama_stack.apis.files import Files
 from llama_stack.apis.graders import Graders
@@ -26,6 +27,8 @@ from llama_stack.apis.models import Models
 from llama_stack.apis.post_training import PostTraining
 from llama_stack.apis.providers import Providers
 from llama_stack.apis.safety import Safety
+from llama_stack.apis.scoring import Scoring
+from llama_stack.apis.scoring_functions import ScoringFunctions
 from llama_stack.apis.shields import Shields
 from llama_stack.apis.synthetic_data_generation import SyntheticDataGeneration
 from llama_stack.apis.telemetry import Telemetry
@@ -66,6 +69,9 @@ class LlamaStack(
     Files,
     Graders,
     Evaluation,
+    Eval,
+    ScoringFunctions,
+    Scoring,
 ):
     pass
 
@@ -111,7 +117,9 @@ class EnvVarError(Exception):
     def __init__(self, var_name: str, path: str = ""):
         self.var_name = var_name
         self.path = path
-        super().__init__(f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}")
+        super().__init__(
+            f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}"
+        )
 
 
 def redact_sensitive_fields(data: Dict[str, Any]) -> Dict[str, Any]:
@@ -202,7 +210,9 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
         if not key:
             raise ValueError(f"Empty key in environment variable pair: {env_pair}")
         if not all(c.isalnum() or c == "_" for c in key):
-            raise ValueError(f"Key must contain only alphanumeric characters and underscores: {key}")
+            raise ValueError(
+                f"Key must contain only alphanumeric characters and underscores: {key}"
+            )
         return key, value
     except ValueError as e:
         raise ValueError(
@@ -215,14 +225,20 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
 async def construct_stack(
     run_config: StackRunConfig, provider_registry: Optional[ProviderRegistry] = None
 ) -> Dict[Api, Any]:
-    dist_registry, _ = await create_dist_registry(run_config.metadata_store, run_config.image_name)
-    impls = await resolve_impls(run_config, provider_registry or get_provider_registry(), dist_registry)
+    dist_registry, _ = await create_dist_registry(
+        run_config.metadata_store, run_config.image_name
+    )
+    impls = await resolve_impls(
+        run_config, provider_registry or get_provider_registry(), dist_registry
+    )
     await register_resources(run_config, impls)
     return impls
 
 
 def get_stack_run_config_from_template(template: str) -> StackRunConfig:
-    template_path = importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
+    template_path = (
+        importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
+    )
 
     with importlib.resources.as_file(template_path) as path:
         if not path.exists():
@@ -265,7 +281,9 @@ def run_config_from_adhoc_config_spec(
 
         # call method "sample_run_config" on the provider spec config class
         provider_config_type = instantiate_class_type(provider_spec.config_class)
-        provider_config = replace_env_vars(provider_config_type.sample_run_config(__distro_dir__=distro_dir))
+        provider_config = replace_env_vars(
+            provider_config_type.sample_run_config(__distro_dir__=distro_dir)
+        )
 
         provider_configs_by_api[api_str] = [
             Provider(

From e860c536da3d7ddf5dbbabaa6a04f474261eb332 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 18:01:40 -0700
Subject: [PATCH 46/73] pre

---
 llama_stack/apis/eval/eval.py       |  4 +---
 llama_stack/apis/graders/graders.py |  2 +-
 llama_stack/distribution/stack.py   | 24 ++++++------------------
 3 files changed, 8 insertions(+), 22 deletions(-)

diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
index 2cb1390dc..51c38b16a 100644
--- a/llama_stack/apis/eval/eval.py
+++ b/llama_stack/apis/eval/eval.py
@@ -135,9 +135,7 @@ class Eval(Protocol):
         """
         ...
 
-    @webmethod(
-        route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET"
-    )
+    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
     async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
         """Get the result of a job.
 
diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
index 522559c3f..23c870e27 100644
--- a/llama_stack/apis/graders/graders.py
+++ b/llama_stack/apis/graders/graders.py
@@ -13,8 +13,8 @@ from typing import (
     Literal,
     Optional,
     Protocol,
-    runtime_checkable,
     Union,
+    runtime_checkable,
 )
 
 from pydantic import BaseModel, Field
diff --git a/llama_stack/distribution/stack.py b/llama_stack/distribution/stack.py
index a5fa0fe39..ccd75f6f6 100644
--- a/llama_stack/distribution/stack.py
+++ b/llama_stack/distribution/stack.py
@@ -117,9 +117,7 @@ class EnvVarError(Exception):
     def __init__(self, var_name: str, path: str = ""):
         self.var_name = var_name
         self.path = path
-        super().__init__(
-            f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}"
-        )
+        super().__init__(f"Environment variable '{var_name}' not set or empty{f' at {path}' if path else ''}")
 
 
 def redact_sensitive_fields(data: Dict[str, Any]) -> Dict[str, Any]:
@@ -210,9 +208,7 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
         if not key:
             raise ValueError(f"Empty key in environment variable pair: {env_pair}")
         if not all(c.isalnum() or c == "_" for c in key):
-            raise ValueError(
-                f"Key must contain only alphanumeric characters and underscores: {key}"
-            )
+            raise ValueError(f"Key must contain only alphanumeric characters and underscores: {key}")
         return key, value
     except ValueError as e:
         raise ValueError(
@@ -225,20 +221,14 @@ def validate_env_pair(env_pair: str) -> tuple[str, str]:
 async def construct_stack(
     run_config: StackRunConfig, provider_registry: Optional[ProviderRegistry] = None
 ) -> Dict[Api, Any]:
-    dist_registry, _ = await create_dist_registry(
-        run_config.metadata_store, run_config.image_name
-    )
-    impls = await resolve_impls(
-        run_config, provider_registry or get_provider_registry(), dist_registry
-    )
+    dist_registry, _ = await create_dist_registry(run_config.metadata_store, run_config.image_name)
+    impls = await resolve_impls(run_config, provider_registry or get_provider_registry(), dist_registry)
     await register_resources(run_config, impls)
     return impls
 
 
 def get_stack_run_config_from_template(template: str) -> StackRunConfig:
-    template_path = (
-        importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
-    )
+    template_path = importlib.resources.files("llama_stack") / f"templates/{template}/run.yaml"
 
     with importlib.resources.as_file(template_path) as path:
         if not path.exists():
@@ -281,9 +271,7 @@ def run_config_from_adhoc_config_spec(
 
         # call method "sample_run_config" on the provider spec config class
         provider_config_type = instantiate_class_type(provider_spec.config_class)
-        provider_config = replace_env_vars(
-            provider_config_type.sample_run_config(__distro_dir__=distro_dir)
-        )
+        provider_config = replace_env_vars(provider_config_type.sample_run_config(__distro_dir__=distro_dir))
 
         provider_configs_by_api[api_str] = [
             Provider(

From b98497ee565baa878fad380bd2188d401370b533 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 18:10:45 -0700
Subject: [PATCH 47/73] docs

---
 llama_stack/apis/benchmarks/benchmarks.py |  2 +-
 llama_stack/apis/evaluation/evaluation.py | 38 ++++++++++++-----------
 2 files changed, 21 insertions(+), 19 deletions(-)

diff --git a/llama_stack/apis/benchmarks/benchmarks.py b/llama_stack/apis/benchmarks/benchmarks.py
index 8017e5c27..3c5624e62 100644
--- a/llama_stack/apis/benchmarks/benchmarks.py
+++ b/llama_stack/apis/benchmarks/benchmarks.py
@@ -60,7 +60,7 @@ class Benchmarks(Protocol):
         metadata: Optional[Dict[str, Any]] = None,
     ) -> Benchmark:
         """
-        Register a new benchmark.
+        Register a new benchmark. A benchmark consists of a dataset id and a list of grader ids.
 
         :param dataset_id: The ID of the dataset to be used to run the benchmark.
         :param grader_ids: List of grader ids to use for this benchmark.
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index e667acfd4..31e7f4909 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -119,12 +119,12 @@ class Evaluation(Protocol):
         candidate: EvaluationCandidate,
     ) -> EvaluationJob:
         """
-        Run an evaluation job.
+        Schedule a full evaluation job, by generating results using candidate and grading them.
 
         :param task: The task to evaluate. One of:
-         - BenchmarkTask: Run evaluation task against a benchmark_id
-         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
-         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+         - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
+         - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
+         - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
         :param candidate: The candidate to evaluate.
         """
         ...
@@ -136,25 +136,26 @@ class Evaluation(Protocol):
         candidate: EvaluationCandidate,
     ) -> EvaluationResponse:
         """
-        Run an evaluation job inline.
+        Run an evaluation synchronously, i.e., without scheduling a job".
+        You should use this for quick testing, or when the number of rows is limited. Some implementations may have stricter restrictions on inputs which will be accepted.
 
         :param task: The task to evaluate. One of:
-         - BenchmarkTask: Run evaluation task against a benchmark_id
-         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
-         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
+        - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
+        - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
         :param candidate: The candidate to evaluate.
         """
         ...
 
-    @webmethod(route="/evaluation/grade", method="POST")
-    async def grade(self, task: EvaluationTask) -> EvaluationJob:
+    @webmethod(route="/evaluation/grading", method="POST")
+    async def grading(self, task: EvaluationTask) -> EvaluationJob:
         """
-        Run an grading job with generated results. Use this when you have generated results from inference in a dataset.
+        Schedule a grading job, by grading generated results. The generated results are expected to be in the dataset.
 
         :param task: The task to evaluate. One of:
-         - BenchmarkTask: Run evaluation task against a benchmark_id
-         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
-         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+         - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
+         - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
+         - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
 
         :return: The evaluation job containing grader scores.
         """
@@ -163,12 +164,13 @@ class Evaluation(Protocol):
     @webmethod(route="/evaluation/grade_sync", method="POST")
     async def grade_sync(self, task: EvaluationTask) -> EvaluationResponse:
         """
-        Run an grading job with generated results inline.
+        Run grading synchronously on generated results, i.e., without scheduling a job.
+        You should use this for quick testing, or when the number of rows is limited. Some implementations may have stricter restrictions on inputs which will be accepted.
 
         :param task: The task to evaluate. One of:
-         - BenchmarkTask: Run evaluation task against a benchmark_id
-         - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids
-         - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+         - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
+         - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
+         - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
 
         :return: The evaluation job containing grader scores. "generations" is not populated in the response.
         """

From 238cdc4e69b26ce9cc89c06b1e7a1112af0787ce Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 18:12:06 -0700
Subject: [PATCH 48/73] grading

---
 docs/_static/llama-stack-spec.html | 228 ++++++++++++++---------------
 docs/_static/llama-stack-spec.yaml | 200 +++++++++++++------------
 2 files changed, 221 insertions(+), 207 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index cb5959e22..57f37255b 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -2035,49 +2035,6 @@
                 ]
             }
         },
-        "/v1/evaluation/grade": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "The evaluation job containing grader scores.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/EvaluationJob"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Evaluation"
-                ],
-                "description": "Run an grading job with generated results. Use this when you have generated results from inference in a dataset.",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/GradeRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/evaluation/grade_sync": {
             "post": {
                 "responses": {
@@ -2107,7 +2064,7 @@
                 "tags": [
                     "Evaluation"
                 ],
-                "description": "Run an grading job with generated results inline.",
+                "description": "Run grading synchronously on generated results, i.e., without scheduling a job. You should use this for quick testing, or when the number of rows is limited. Some implementations may have stricter restrictions on inputs which will be accepted.",
                 "parameters": [],
                 "requestBody": {
                     "content": {
@@ -2121,6 +2078,49 @@
                 }
             }
         },
+        "/v1/evaluation/grading": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "The evaluation job containing grader scores.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluationJob"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Evaluation"
+                ],
+                "description": "Schedule a grading job, by grading generated results. The generated results are expected to be in the dataset.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/GradingRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/health": {
             "get": {
                 "responses": {
@@ -2622,7 +2622,7 @@
                 "tags": [
                     "Benchmarks"
                 ],
-                "description": "Register a new benchmark.",
+                "description": "Register a new benchmark. A benchmark consists of a dataset id and a list of grader ids.",
                 "parameters": [],
                 "requestBody": {
                     "content": {
@@ -3730,7 +3730,7 @@
                 "tags": [
                     "Evaluation"
                 ],
-                "description": "Run an evaluation job.",
+                "description": "Schedule a full evaluation job, by generating results using candidate and grading them.",
                 "parameters": [],
                 "requestBody": {
                     "content": {
@@ -3869,7 +3869,7 @@
                 "tags": [
                     "Evaluation"
                 ],
-                "description": "Run an evaluation job inline.",
+                "description": "Run an evaluation synchronously, i.e., without scheduling a job\". You should use this for quick testing, or when the number of rows is limited. Some implementations may have stricter restrictions on inputs which will be accepted.",
                 "parameters": [],
                 "requestBody": {
                     "content": {
@@ -8615,19 +8615,81 @@
                     }
                 }
             },
-            "GradeRequest": {
+            "GradeSyncRequest": {
                 "type": "object",
                 "properties": {
                     "task": {
                         "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
                     "task"
                 ],
-                "title": "GradeRequest"
+                "title": "GradeSyncRequest"
+            },
+            "EvaluationResponse": {
+                "type": "object",
+                "properties": {
+                    "generations": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The generations in rows for the evaluation."
+                    },
+                    "scores": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "$ref": "#/components/schemas/ScoringResult"
+                        },
+                        "description": "The scores for the evaluation. Map of grader id to ScoringResult."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "generations",
+                    "scores"
+                ],
+                "title": "EvaluationResponse",
+                "description": "A response to an inline evaluation."
+            },
+            "GradingRequest": {
+                "type": "object",
+                "properties": {
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "task"
+                ],
+                "title": "GradingRequest"
             },
             "EvaluationCandidate": {
                 "oneOf": [
@@ -8701,68 +8763,6 @@
                 ],
                 "title": "EvaluationJob"
             },
-            "GradeSyncRequest": {
-                "type": "object",
-                "properties": {
-                    "task": {
-                        "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "task"
-                ],
-                "title": "GradeSyncRequest"
-            },
-            "EvaluationResponse": {
-                "type": "object",
-                "properties": {
-                    "generations": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The generations in rows for the evaluation."
-                    },
-                    "scores": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "The scores for the evaluation. Map of grader id to ScoringResult."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "generations",
-                    "scores"
-                ],
-                "title": "EvaluationResponse",
-                "description": "A response to an inline evaluation."
-            },
             "HealthInfo": {
                 "type": "object",
                 "properties": {
@@ -10737,7 +10737,7 @@
                 "properties": {
                     "task": {
                         "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
                     },
                     "candidate": {
                         "$ref": "#/components/schemas/EvaluationCandidate",
@@ -10839,7 +10839,7 @@
                 "properties": {
                     "task": {
                         "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkTask: Run evaluation task against a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id and a list of grader_ids - DataSourceGraderTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
                     },
                     "candidate": {
                         "$ref": "#/components/schemas/EvaluationCandidate",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index ecc8104e1..60a8700f7 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -1385,38 +1385,6 @@ paths:
           required: true
           schema:
             type: string
-  /v1/evaluation/grade:
-    post:
-      responses:
-        '200':
-          description: >-
-            The evaluation job containing grader scores.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluationJob'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Evaluation
-      description: >-
-        Run an grading job with generated results. Use this when you have generated
-        results from inference in a dataset.
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/GradeRequest'
-        required: true
   /v1/evaluation/grade_sync:
     post:
       responses:
@@ -1441,7 +1409,10 @@ paths:
       tags:
         - Evaluation
       description: >-
-        Run an grading job with generated results inline.
+        Run grading synchronously on generated results, i.e., without scheduling a
+        job. You should use this for quick testing, or when the number of rows is
+        limited. Some implementations may have stricter restrictions on inputs which
+        will be accepted.
       parameters: []
       requestBody:
         content:
@@ -1449,6 +1420,38 @@ paths:
             schema:
               $ref: '#/components/schemas/GradeSyncRequest'
         required: true
+  /v1/evaluation/grading:
+    post:
+      responses:
+        '200':
+          description: >-
+            The evaluation job containing grader scores.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluationJob'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Evaluation
+      description: >-
+        Schedule a grading job, by grading generated results. The generated results
+        are expected to be in the dataset.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/GradingRequest'
+        required: true
   /v1/health:
     get:
       responses:
@@ -1800,7 +1803,9 @@ paths:
           $ref: '#/components/responses/DefaultError'
       tags:
         - Benchmarks
-      description: Register a new benchmark.
+      description: >-
+        Register a new benchmark. A benchmark consists of a dataset id and a list
+        of grader ids.
       parameters: []
       requestBody:
         content:
@@ -2566,7 +2571,9 @@ paths:
           $ref: '#/components/responses/DefaultError'
       tags:
         - Evaluation
-      description: Run an evaluation job.
+      description: >-
+        Schedule a full evaluation job, by generating results using candidate and
+        grading them.
       parameters: []
       requestBody:
         content:
@@ -2661,7 +2668,10 @@ paths:
           $ref: '#/components/responses/DefaultError'
       tags:
         - Evaluation
-      description: Run an evaluation job inline.
+      description: >-
+        Run an evaluation synchronously, i.e., without scheduling a job". You should
+        use this for quick testing, or when the number of rows is limited. Some implementations
+        may have stricter restrictions on inputs which will be accepted.
       parameters: []
       requestBody:
         content:
@@ -5956,20 +5966,65 @@ components:
           benchmark: '#/components/schemas/BenchmarkEvaluationTask'
           dataset: '#/components/schemas/DatasetEvaluationTask'
           data: '#/components/schemas/DataEvaluationTask'
-    GradeRequest:
+    GradeSyncRequest:
       type: object
       properties:
         task:
           $ref: '#/components/schemas/EvaluationTask'
           description: >-
-            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
-            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
-            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
-            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
+            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
+            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
+            evaluation task against a data source (e.g. rows, uri, etc.) and a list
+            of grader_ids
       additionalProperties: false
       required:
         - task
-      title: GradeRequest
+      title: GradeSyncRequest
+    EvaluationResponse:
+      type: object
+      properties:
+        generations:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: >-
+            The generations in rows for the evaluation.
+        scores:
+          type: object
+          additionalProperties:
+            $ref: '#/components/schemas/ScoringResult'
+          description: >-
+            The scores for the evaluation. Map of grader id to ScoringResult.
+      additionalProperties: false
+      required:
+        - generations
+        - scores
+      title: EvaluationResponse
+      description: A response to an inline evaluation.
+    GradingRequest:
+      type: object
+      properties:
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+          description: >-
+            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
+            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
+            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
+            evaluation task against a data source (e.g. rows, uri, etc.) and a list
+            of grader_ids
+      additionalProperties: false
+      required:
+        - task
+      title: GradingRequest
     EvaluationCandidate:
       oneOf:
         - $ref: '#/components/schemas/ModelCandidate'
@@ -6023,49 +6078,6 @@ components:
         - task
         - candidate
       title: EvaluationJob
-    GradeSyncRequest:
-      type: object
-      properties:
-        task:
-          $ref: '#/components/schemas/EvaluationTask'
-          description: >-
-            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
-            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
-            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
-            a data source (e.g. rows, uri, etc.) and a list of grader_ids
-      additionalProperties: false
-      required:
-        - task
-      title: GradeSyncRequest
-    EvaluationResponse:
-      type: object
-      properties:
-        generations:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: >-
-            The generations in rows for the evaluation.
-        scores:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: >-
-            The scores for the evaluation. Map of grader id to ScoringResult.
-      additionalProperties: false
-      required:
-        - generations
-        - scores
-      title: EvaluationResponse
-      description: A response to an inline evaluation.
     HealthInfo:
       type: object
       properties:
@@ -7347,10 +7359,11 @@ components:
         task:
           $ref: '#/components/schemas/EvaluationTask'
           description: >-
-            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
-            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
-            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
-            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
+            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
+            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
+            evaluation task against a data source (e.g. rows, uri, etc.) and a list
+            of grader_ids
         candidate:
           $ref: '#/components/schemas/EvaluationCandidate'
           description: The candidate to evaluate.
@@ -7416,10 +7429,11 @@ components:
         task:
           $ref: '#/components/schemas/EvaluationTask'
           description: >-
-            The task to evaluate. One of: - BenchmarkTask: Run evaluation task against
-            a benchmark_id - DatasetGraderTask: Run evaluation task against a dataset_id
-            and a list of grader_ids - DataSourceGraderTask: Run evaluation task against
-            a data source (e.g. rows, uri, etc.) and a list of grader_ids
+            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
+            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
+            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
+            evaluation task against a data source (e.g. rows, uri, etc.) and a list
+            of grader_ids
         candidate:
           $ref: '#/components/schemas/EvaluationCandidate'
           description: The candidate to evaluate.

From 398319fe7ab899c39db48fa8262824a6d53bcc29 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 18:14:55 -0700
Subject: [PATCH 49/73] agent config

---
 llama_stack/apis/evaluation/evaluation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 31e7f4909..8425000da 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -38,7 +38,7 @@ class AgentCandidate(BaseModel):
     """
 
     type: Literal["agent"] = "agent"
-    config: AgentConfig
+    agent_config: AgentConfig
 
 
 EvaluationCandidate = register_schema(

From 5e817cd56a2ad11ede928911364015761a3d1891 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 18:16:00 -0700
Subject: [PATCH 50/73] update

---
 docs/_static/llama-stack-spec.html        | 214 +++++++++++-----------
 docs/_static/llama-stack-spec.yaml        | 156 ++++++++--------
 llama_stack/apis/evaluation/evaluation.py |   4 +-
 3 files changed, 187 insertions(+), 187 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 57f37255b..16c21cbb1 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -2035,6 +2035,49 @@
                 ]
             }
         },
+        "/v1/evaluation/grading": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "The evaluation job containing grader scores.",
+                        "content": {
+                            "application/json": {
+                                "schema": {
+                                    "$ref": "#/components/schemas/EvaluationJob"
+                                }
+                            }
+                        }
+                    },
+                    "400": {
+                        "$ref": "#/components/responses/BadRequest400"
+                    },
+                    "429": {
+                        "$ref": "#/components/responses/TooManyRequests429"
+                    },
+                    "500": {
+                        "$ref": "#/components/responses/InternalServerError500"
+                    },
+                    "default": {
+                        "$ref": "#/components/responses/DefaultError"
+                    }
+                },
+                "tags": [
+                    "Evaluation"
+                ],
+                "description": "Schedule a grading job, by grading generated (model or agent) results. The generated results are expected to be in the dataset.",
+                "parameters": [],
+                "requestBody": {
+                    "content": {
+                        "application/json": {
+                            "schema": {
+                                "$ref": "#/components/schemas/GradeRequest"
+                            }
+                        }
+                    },
+                    "required": true
+                }
+            }
+        },
         "/v1/evaluation/grade_sync": {
             "post": {
                 "responses": {
@@ -2078,49 +2121,6 @@
                 }
             }
         },
-        "/v1/evaluation/grading": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "The evaluation job containing grader scores.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/EvaluationJob"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Evaluation"
-                ],
-                "description": "Schedule a grading job, by grading generated results. The generated results are expected to be in the dataset.",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/GradingRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/health": {
             "get": {
                 "responses": {
@@ -8615,7 +8615,7 @@
                     }
                 }
             },
-            "GradeSyncRequest": {
+            "GradeRequest": {
                 "type": "object",
                 "properties": {
                     "task": {
@@ -8627,69 +8627,7 @@
                 "required": [
                     "task"
                 ],
-                "title": "GradeSyncRequest"
-            },
-            "EvaluationResponse": {
-                "type": "object",
-                "properties": {
-                    "generations": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The generations in rows for the evaluation."
-                    },
-                    "scores": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "The scores for the evaluation. Map of grader id to ScoringResult."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "generations",
-                    "scores"
-                ],
-                "title": "EvaluationResponse",
-                "description": "A response to an inline evaluation."
-            },
-            "GradingRequest": {
-                "type": "object",
-                "properties": {
-                    "task": {
-                        "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "task"
-                ],
-                "title": "GradingRequest"
+                "title": "GradeRequest"
             },
             "EvaluationCandidate": {
                 "oneOf": [
@@ -8763,6 +8701,68 @@
                 ],
                 "title": "EvaluationJob"
             },
+            "GradeSyncRequest": {
+                "type": "object",
+                "properties": {
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "task"
+                ],
+                "title": "GradeSyncRequest"
+            },
+            "EvaluationResponse": {
+                "type": "object",
+                "properties": {
+                    "generations": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "additionalProperties": {
+                                "oneOf": [
+                                    {
+                                        "type": "null"
+                                    },
+                                    {
+                                        "type": "boolean"
+                                    },
+                                    {
+                                        "type": "number"
+                                    },
+                                    {
+                                        "type": "string"
+                                    },
+                                    {
+                                        "type": "array"
+                                    },
+                                    {
+                                        "type": "object"
+                                    }
+                                ]
+                            }
+                        },
+                        "description": "The generations in rows for the evaluation."
+                    },
+                    "scores": {
+                        "type": "object",
+                        "additionalProperties": {
+                            "$ref": "#/components/schemas/ScoringResult"
+                        },
+                        "description": "The scores for the evaluation. Map of grader id to ScoringResult."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "generations",
+                    "scores"
+                ],
+                "title": "EvaluationResponse",
+                "description": "A response to an inline evaluation."
+            },
             "HealthInfo": {
                 "type": "object",
                 "properties": {
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 60a8700f7..1711c93ec 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -1385,6 +1385,38 @@ paths:
           required: true
           schema:
             type: string
+  /v1/evaluation/grading:
+    post:
+      responses:
+        '200':
+          description: >-
+            The evaluation job containing grader scores.
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/EvaluationJob'
+        '400':
+          $ref: '#/components/responses/BadRequest400'
+        '429':
+          $ref: >-
+            #/components/responses/TooManyRequests429
+        '500':
+          $ref: >-
+            #/components/responses/InternalServerError500
+        default:
+          $ref: '#/components/responses/DefaultError'
+      tags:
+        - Evaluation
+      description: >-
+        Schedule a grading job, by grading generated (model or agent) results. The
+        generated results are expected to be in the dataset.
+      parameters: []
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/GradeRequest'
+        required: true
   /v1/evaluation/grade_sync:
     post:
       responses:
@@ -1420,38 +1452,6 @@ paths:
             schema:
               $ref: '#/components/schemas/GradeSyncRequest'
         required: true
-  /v1/evaluation/grading:
-    post:
-      responses:
-        '200':
-          description: >-
-            The evaluation job containing grader scores.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluationJob'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Evaluation
-      description: >-
-        Schedule a grading job, by grading generated results. The generated results
-        are expected to be in the dataset.
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/GradingRequest'
-        required: true
   /v1/health:
     get:
       responses:
@@ -5966,7 +5966,7 @@ components:
           benchmark: '#/components/schemas/BenchmarkEvaluationTask'
           dataset: '#/components/schemas/DatasetEvaluationTask'
           data: '#/components/schemas/DataEvaluationTask'
-    GradeSyncRequest:
+    GradeRequest:
       type: object
       properties:
         task:
@@ -5980,51 +5980,7 @@ components:
       additionalProperties: false
       required:
         - task
-      title: GradeSyncRequest
-    EvaluationResponse:
-      type: object
-      properties:
-        generations:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: >-
-            The generations in rows for the evaluation.
-        scores:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: >-
-            The scores for the evaluation. Map of grader id to ScoringResult.
-      additionalProperties: false
-      required:
-        - generations
-        - scores
-      title: EvaluationResponse
-      description: A response to an inline evaluation.
-    GradingRequest:
-      type: object
-      properties:
-        task:
-          $ref: '#/components/schemas/EvaluationTask'
-          description: >-
-            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
-            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
-            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
-            evaluation task against a data source (e.g. rows, uri, etc.) and a list
-            of grader_ids
-      additionalProperties: false
-      required:
-        - task
-      title: GradingRequest
+      title: GradeRequest
     EvaluationCandidate:
       oneOf:
         - $ref: '#/components/schemas/ModelCandidate'
@@ -6078,6 +6034,50 @@ components:
         - task
         - candidate
       title: EvaluationJob
+    GradeSyncRequest:
+      type: object
+      properties:
+        task:
+          $ref: '#/components/schemas/EvaluationTask'
+          description: >-
+            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
+            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
+            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
+            evaluation task against a data source (e.g. rows, uri, etc.) and a list
+            of grader_ids
+      additionalProperties: false
+      required:
+        - task
+      title: GradeSyncRequest
+    EvaluationResponse:
+      type: object
+      properties:
+        generations:
+          type: array
+          items:
+            type: object
+            additionalProperties:
+              oneOf:
+                - type: 'null'
+                - type: boolean
+                - type: number
+                - type: string
+                - type: array
+                - type: object
+          description: >-
+            The generations in rows for the evaluation.
+        scores:
+          type: object
+          additionalProperties:
+            $ref: '#/components/schemas/ScoringResult'
+          description: >-
+            The scores for the evaluation. Map of grader id to ScoringResult.
+      additionalProperties: false
+      required:
+        - generations
+        - scores
+      title: EvaluationResponse
+      description: A response to an inline evaluation.
     HealthInfo:
       type: object
       properties:
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 8425000da..6f6a27041 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -148,9 +148,9 @@ class Evaluation(Protocol):
         ...
 
     @webmethod(route="/evaluation/grading", method="POST")
-    async def grading(self, task: EvaluationTask) -> EvaluationJob:
+    async def grade(self, task: EvaluationTask) -> EvaluationJob:
         """
-        Schedule a grading job, by grading generated results. The generated results are expected to be in the dataset.
+        Schedule a grading job, by grading generated (model or agent) results. The generated results are expected to be in the dataset.
 
         :param task: The task to evaluate. One of:
          - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id

From f107e3229b9d83f8a4622c257cca4b1e9771667a Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 19:28:34 -0700
Subject: [PATCH 51/73] update EvaluationTask

---
 docs/_static/llama-stack-spec.html        | 90 +++------------------
 docs/_static/llama-stack-spec.yaml        | 96 ++++++-----------------
 llama_stack/apis/evaluation/evaluation.py | 65 ++++++---------
 3 files changed, 56 insertions(+), 195 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 16c21cbb1..e9429a0c0 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -2035,7 +2035,7 @@
                 ]
             }
         },
-        "/v1/evaluation/grading": {
+        "/v1/evaluation/grade": {
             "post": {
                 "responses": {
                     "200": {
@@ -8523,32 +8523,14 @@
                 ],
                 "title": "VectorDB"
             },
-            "BenchmarkEvaluationTask": {
+            "EvaluationTask": {
                 "type": "object",
                 "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "benchmark",
-                        "default": "benchmark"
-                    },
                     "benchmark_id": {
                         "type": "string"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "benchmark_id"
-                ],
-                "title": "BenchmarkEvaluationTask"
-            },
-            "DataEvaluationTask": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "data",
-                        "default": "data"
+                    },
+                    "dataset_id": {
+                        "type": "string"
                     },
                     "data_source": {
                         "$ref": "#/components/schemas/DataSource"
@@ -8561,66 +8543,14 @@
                     }
                 },
                 "additionalProperties": false,
-                "required": [
-                    "type",
-                    "data_source",
-                    "grader_ids"
-                ],
-                "title": "DataEvaluationTask"
-            },
-            "DatasetEvaluationTask": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "dataset",
-                        "default": "dataset"
-                    },
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "grader_ids": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "dataset_id",
-                    "grader_ids"
-                ],
-                "title": "DatasetEvaluationTask"
-            },
-            "EvaluationTask": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/BenchmarkEvaluationTask"
-                    },
-                    {
-                        "$ref": "#/components/schemas/DatasetEvaluationTask"
-                    },
-                    {
-                        "$ref": "#/components/schemas/DataEvaluationTask"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "benchmark": "#/components/schemas/BenchmarkEvaluationTask",
-                        "dataset": "#/components/schemas/DatasetEvaluationTask",
-                        "data": "#/components/schemas/DataEvaluationTask"
-                    }
-                }
+                "title": "EvaluationTask"
             },
             "GradeRequest": {
                 "type": "object",
                 "properties": {
                     "task": {
                         "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                        "description": "The task to evaluate. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
                     }
                 },
                 "additionalProperties": false,
@@ -8706,7 +8636,7 @@
                 "properties": {
                     "task": {
                         "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                        "description": "The task to evaluate. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
                     }
                 },
                 "additionalProperties": false,
@@ -10737,7 +10667,7 @@
                 "properties": {
                     "task": {
                         "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                        "description": "The task to evaluate. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
                     },
                     "candidate": {
                         "$ref": "#/components/schemas/EvaluationCandidate",
@@ -10839,7 +10769,7 @@
                 "properties": {
                     "task": {
                         "$ref": "#/components/schemas/EvaluationTask",
-                        "description": "The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                        "description": "The task to evaluate. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
                     },
                     "candidate": {
                         "$ref": "#/components/schemas/EvaluationCandidate",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 1711c93ec..8de434ba7 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -1385,7 +1385,7 @@ paths:
           required: true
           schema:
             type: string
-  /v1/evaluation/grading:
+  /v1/evaluation/grade:
     post:
       responses:
         '200':
@@ -5903,27 +5903,13 @@ components:
         - embedding_model
         - embedding_dimension
       title: VectorDB
-    BenchmarkEvaluationTask:
+    EvaluationTask:
       type: object
       properties:
-        type:
-          type: string
-          const: benchmark
-          default: benchmark
         benchmark_id:
           type: string
-      additionalProperties: false
-      required:
-        - type
-        - benchmark_id
-      title: BenchmarkEvaluationTask
-    DataEvaluationTask:
-      type: object
-      properties:
-        type:
+        dataset_id:
           type: string
-          const: data
-          default: data
         data_source:
           $ref: '#/components/schemas/DataSource'
         grader_ids:
@@ -5931,52 +5917,18 @@ components:
           items:
             type: string
       additionalProperties: false
-      required:
-        - type
-        - data_source
-        - grader_ids
-      title: DataEvaluationTask
-    DatasetEvaluationTask:
-      type: object
-      properties:
-        type:
-          type: string
-          const: dataset
-          default: dataset
-        dataset_id:
-          type: string
-        grader_ids:
-          type: array
-          items:
-            type: string
-      additionalProperties: false
-      required:
-        - type
-        - dataset_id
-        - grader_ids
-      title: DatasetEvaluationTask
-    EvaluationTask:
-      oneOf:
-        - $ref: '#/components/schemas/BenchmarkEvaluationTask'
-        - $ref: '#/components/schemas/DatasetEvaluationTask'
-        - $ref: '#/components/schemas/DataEvaluationTask'
-      discriminator:
-        propertyName: type
-        mapping:
-          benchmark: '#/components/schemas/BenchmarkEvaluationTask'
-          dataset: '#/components/schemas/DatasetEvaluationTask'
-          data: '#/components/schemas/DataEvaluationTask'
+      title: EvaluationTask
     GradeRequest:
       type: object
       properties:
         task:
           $ref: '#/components/schemas/EvaluationTask'
           description: >-
-            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
-            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
-            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
-            evaluation task against a data source (e.g. rows, uri, etc.) and a list
-            of grader_ids
+            The task to evaluate. To specify a task, one of the following must be
+            provided: - `benchmark_id`: Run evaluation task against a benchmark_id
+            - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id
+            and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation
+            task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
       additionalProperties: false
       required:
         - task
@@ -6040,11 +5992,11 @@ components:
         task:
           $ref: '#/components/schemas/EvaluationTask'
           description: >-
-            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
-            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
-            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
-            evaluation task against a data source (e.g. rows, uri, etc.) and a list
-            of grader_ids
+            The task to evaluate. To specify a task, one of the following must be
+            provided: - `benchmark_id`: Run evaluation task against a benchmark_id
+            - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id
+            and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation
+            task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
       additionalProperties: false
       required:
         - task
@@ -7359,11 +7311,11 @@ components:
         task:
           $ref: '#/components/schemas/EvaluationTask'
           description: >-
-            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
-            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
-            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
-            evaluation task against a data source (e.g. rows, uri, etc.) and a list
-            of grader_ids
+            The task to evaluate. To specify a task, one of the following must be
+            provided: - `benchmark_id`: Run evaluation task against a benchmark_id
+            - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id
+            and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation
+            task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
         candidate:
           $ref: '#/components/schemas/EvaluationCandidate'
           description: The candidate to evaluate.
@@ -7429,11 +7381,11 @@ components:
         task:
           $ref: '#/components/schemas/EvaluationTask'
           description: >-
-            The task to evaluate. One of: - BenchmarkEvaluationTask: Run evaluation
-            task against a benchmark_id - DatasetEvaluationTask: Run evaluation task
-            against a dataset_id and a list of grader_ids - DataEvaluationTask: Run
-            evaluation task against a data source (e.g. rows, uri, etc.) and a list
-            of grader_ids
+            The task to evaluate. To specify a task, one of the following must be
+            provided: - `benchmark_id`: Run evaluation task against a benchmark_id
+            - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id
+            and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation
+            task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
         candidate:
           $ref: '#/components/schemas/EvaluationCandidate'
           description: The candidate to evaluate.
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 6f6a27041..1911b567b 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -48,32 +48,11 @@ EvaluationCandidate = register_schema(
 
 
 @json_schema_type
-class BenchmarkEvaluationTask(BaseModel):
-    type: Literal["benchmark"] = "benchmark"
-    benchmark_id: str
-
-
-@json_schema_type
-class DatasetEvaluationTask(BaseModel):
-    type: Literal["dataset"] = "dataset"
-    dataset_id: str
-    grader_ids: List[str]
-
-
-@json_schema_type
-class DataEvaluationTask(BaseModel):
-    type: Literal["data"] = "data"
-    data_source: DataSource
-    grader_ids: List[str]
-
-
-EvaluationTask = register_schema(
-    Annotated[
-        Union[BenchmarkEvaluationTask, DatasetEvaluationTask, DataEvaluationTask],
-        Field(discriminator="type"),
-    ],
-    name="EvaluationTask",
-)
+class EvaluationTask(BaseModel):
+    benchmark_id: Optional[str] = None
+    dataset_id: Optional[str] = None
+    data_source: Optional[DataSource] = None
+    grader_ids: Optional[List[str]] = None
 
 
 @json_schema_type
@@ -121,10 +100,10 @@ class Evaluation(Protocol):
         """
         Schedule a full evaluation job, by generating results using candidate and grading them.
 
-        :param task: The task to evaluate. One of:
-         - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
-         - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
-         - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        :param task: The task to evaluate. To specify a task, one of the following must be provided:
+         - `benchmark_id`: Run evaluation task against a benchmark_id
+         - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
+         - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
         :param candidate: The candidate to evaluate.
         """
         ...
@@ -139,23 +118,23 @@ class Evaluation(Protocol):
         Run an evaluation synchronously, i.e., without scheduling a job".
         You should use this for quick testing, or when the number of rows is limited. Some implementations may have stricter restrictions on inputs which will be accepted.
 
-        :param task: The task to evaluate. One of:
-        - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
-        - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
-        - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        :param task: The task to evaluate. To specify a task, one of the following must be provided:
+         - `benchmark_id`: Run evaluation task against a benchmark_id
+         - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
+         - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
         :param candidate: The candidate to evaluate.
         """
         ...
 
-    @webmethod(route="/evaluation/grading", method="POST")
+    @webmethod(route="/evaluation/grade", method="POST")
     async def grade(self, task: EvaluationTask) -> EvaluationJob:
         """
         Schedule a grading job, by grading generated (model or agent) results. The generated results are expected to be in the dataset.
 
-        :param task: The task to evaluate. One of:
-         - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
-         - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
-         - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        :param task: The task to evaluate. To specify a task, one of the following must be provided:
+         - `benchmark_id`: Run evaluation task against a benchmark_id
+         - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
+         - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
 
         :return: The evaluation job containing grader scores.
         """
@@ -167,10 +146,10 @@ class Evaluation(Protocol):
         Run grading synchronously on generated results, i.e., without scheduling a job.
         You should use this for quick testing, or when the number of rows is limited. Some implementations may have stricter restrictions on inputs which will be accepted.
 
-        :param task: The task to evaluate. One of:
-         - BenchmarkEvaluationTask: Run evaluation task against a benchmark_id
-         - DatasetEvaluationTask: Run evaluation task against a dataset_id and a list of grader_ids
-         - DataEvaluationTask: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+        :param task: The task to evaluate. To specify a task, one of the following must be provided:
+         - `benchmark_id`: Run evaluation task against a benchmark_id
+         - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
+         - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
 
         :return: The evaluation job containing grader scores. "generations" is not populated in the response.
         """

From d994499f09f1d2c15741b833a594734c39ec1ff6 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 19:30:01 -0700
Subject: [PATCH 52/73] update EvaluationTask

---
 docs/_static/llama-stack-spec.html        | 15 ++++++++++-----
 docs/_static/llama-stack-spec.yaml        | 10 ++++++++++
 llama_stack/apis/evaluation/evaluation.py | 12 ++++++++++++
 3 files changed, 32 insertions(+), 5 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index e9429a0c0..ff53f1aed 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -8527,23 +8527,28 @@
                 "type": "object",
                 "properties": {
                     "benchmark_id": {
-                        "type": "string"
+                        "type": "string",
+                        "description": "The benchmark ID to evaluate."
                     },
                     "dataset_id": {
-                        "type": "string"
+                        "type": "string",
+                        "description": "The dataset ID to evaluate."
                     },
                     "data_source": {
-                        "$ref": "#/components/schemas/DataSource"
+                        "$ref": "#/components/schemas/DataSource",
+                        "description": "The data source to evaluate."
                     },
                     "grader_ids": {
                         "type": "array",
                         "items": {
                             "type": "string"
-                        }
+                        },
+                        "description": "The grader IDs to evaluate."
                     }
                 },
                 "additionalProperties": false,
-                "title": "EvaluationTask"
+                "title": "EvaluationTask",
+                "description": "A task for evaluation. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
             },
             "GradeRequest": {
                 "type": "object",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 8de434ba7..45546fa11 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -5908,16 +5908,26 @@ components:
       properties:
         benchmark_id:
           type: string
+          description: The benchmark ID to evaluate.
         dataset_id:
           type: string
+          description: The dataset ID to evaluate.
         data_source:
           $ref: '#/components/schemas/DataSource'
+          description: The data source to evaluate.
         grader_ids:
           type: array
           items:
             type: string
+          description: The grader IDs to evaluate.
       additionalProperties: false
       title: EvaluationTask
+      description: >-
+        A task for evaluation. To specify a task, one of the following must be provided:
+        - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id`
+        and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
+        - `data_source` and `grader_ids`: Run evaluation task against a data source
+        (e.g. rows, uri, etc.) and a list of grader_ids
     GradeRequest:
       type: object
       properties:
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 1911b567b..6b2190417 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -49,6 +49,18 @@ EvaluationCandidate = register_schema(
 
 @json_schema_type
 class EvaluationTask(BaseModel):
+    """
+    A task for evaluation. To specify a task, one of the following must be provided:
+    - `benchmark_id`: Run evaluation task against a benchmark_id
+    - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
+    - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+
+    :param benchmark_id: The benchmark ID to evaluate.
+    :param dataset_id: The dataset ID to evaluate.
+    :param data_source: The data source to evaluate.
+    :param grader_ids: The grader IDs to evaluate.
+    """
+
     benchmark_id: Optional[str] = None
     dataset_id: Optional[str] = None
     data_source: Optional[DataSource] = None

From 85cad639ca9b6bca62c5eb4d816476aa552943ee Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 20:16:08 -0700
Subject: [PATCH 53/73] Update llama_stack/apis/evaluation/evaluation.py

Co-authored-by: Ashwin Bharambe 
---
 llama_stack/apis/evaluation/evaluation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 6b2190417..51f5c371c 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -51,7 +51,7 @@ EvaluationCandidate = register_schema(
 class EvaluationTask(BaseModel):
     """
     A task for evaluation. To specify a task, one of the following must be provided:
-    - `benchmark_id`: Run evaluation task against a benchmark_id
+    - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when you have a curated dataset and have settled on the graders.
     - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
     - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
 

From 820b9a00c7803ab7d1bc4d55b7988e29de347c9b Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 20:16:15 -0700
Subject: [PATCH 54/73] Update llama_stack/apis/evaluation/evaluation.py

Co-authored-by: Ashwin Bharambe 
---
 llama_stack/apis/evaluation/evaluation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 51f5c371c..4573525be 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -53,7 +53,7 @@ class EvaluationTask(BaseModel):
     A task for evaluation. To specify a task, one of the following must be provided:
     - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when you have a curated dataset and have settled on the graders.
     - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
-    - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids
+    - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are early in your evaluation cycle and experimenting much more with your data and graders.
 
     :param benchmark_id: The benchmark ID to evaluate.
     :param dataset_id: The dataset ID to evaluate.

From 913e6eb50f823d7cd6ddfd1593d73105a4ffab4a Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 20:16:24 -0700
Subject: [PATCH 55/73] Update llama_stack/apis/evaluation/evaluation.py

Co-authored-by: Ashwin Bharambe 
---
 llama_stack/apis/evaluation/evaluation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 4573525be..e1f02dbae 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -52,7 +52,7 @@ class EvaluationTask(BaseModel):
     """
     A task for evaluation. To specify a task, one of the following must be provided:
     - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when you have a curated dataset and have settled on the graders.
-    - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
+    - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids. Use this when you have datasets and / or are iterating on your graders. 
     - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are early in your evaluation cycle and experimenting much more with your data and graders.
 
     :param benchmark_id: The benchmark ID to evaluate.

From 205a50f10bd13e78a81cda2e9c0b514ff6b46768 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 20:38:05 -0700
Subject: [PATCH 56/73] openapi gen

---
 docs/_static/llama-stack-spec.html |  2 +-
 docs/_static/llama-stack-spec.yaml | 12 ++++++++----
 2 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index a5ea562bf..09d4cb805 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -8548,7 +8548,7 @@
                 },
                 "additionalProperties": false,
                 "title": "EvaluationTask",
-                "description": "A task for evaluation. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                "description": "A task for evaluation. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when you have a curated dataset and have settled on the graders. - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids. Use this when you have datasets and / or are iterating on your graders.  - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are early in your evaluation cycle and experimenting much more with your data and graders."
             },
             "GradeRequest": {
                 "type": "object",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 5676c91b6..72361c50e 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -5924,10 +5924,14 @@ components:
       title: EvaluationTask
       description: >-
         A task for evaluation. To specify a task, one of the following must be provided:
-        - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id`
-        and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids
-        - `data_source` and `grader_ids`: Run evaluation task against a data source
-        (e.g. rows, uri, etc.) and a list of grader_ids
+        - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when
+        you have a curated dataset and have settled on the graders. - `dataset_id`
+        and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids.
+        Use this when you have datasets and / or are iterating on your graders.  -
+        `data_source` and `grader_ids`: Run evaluation task against a data source
+        (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are
+        early in your evaluation cycle and experimenting much more with your data
+        and graders.
     GradeRequest:
       type: object
       properties:

From bf135f38b1e62a3cbf88ff6b5e3836a545c4cdc3 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 20:48:03 -0700
Subject: [PATCH 57/73] precommit

---
 docs/_static/llama-stack-spec.html        |  2 +-
 docs/_static/llama-stack-spec.yaml        |  2 +-
 llama_stack/apis/evaluation/evaluation.py |  2 +-
 llama_stack/apis/graders/graders.py       | 16 ++++++++--------
 4 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 09d4cb805..0f223b51b 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -8548,7 +8548,7 @@
                 },
                 "additionalProperties": false,
                 "title": "EvaluationTask",
-                "description": "A task for evaluation. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when you have a curated dataset and have settled on the graders. - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids. Use this when you have datasets and / or are iterating on your graders.  - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are early in your evaluation cycle and experimenting much more with your data and graders."
+                "description": "A task for evaluation. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when you have a curated dataset and have settled on the graders. - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids. Use this when you have datasets and / or are iterating on your graders. - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are early in your evaluation cycle and experimenting much more with your data and graders."
             },
             "GradeRequest": {
                 "type": "object",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 72361c50e..7c4ea81b8 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -5927,7 +5927,7 @@ components:
         - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when
         you have a curated dataset and have settled on the graders. - `dataset_id`
         and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids.
-        Use this when you have datasets and / or are iterating on your graders.  -
+        Use this when you have datasets and / or are iterating on your graders. -
         `data_source` and `grader_ids`: Run evaluation task against a data source
         (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are
         early in your evaluation cycle and experimenting much more with your data
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index e1f02dbae..269004b26 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -52,7 +52,7 @@ class EvaluationTask(BaseModel):
     """
     A task for evaluation. To specify a task, one of the following must be provided:
     - `benchmark_id`: Run evaluation task against a benchmark_id. Use this when you have a curated dataset and have settled on the graders.
-    - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids. Use this when you have datasets and / or are iterating on your graders. 
+    - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids. Use this when you have datasets and / or are iterating on your graders.
     - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids. Prefer this when you are early in your evaluation cycle and experimenting much more with your data and graders.
 
     :param benchmark_id: The benchmark ID to evaluate.
diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
index 23c870e27..31e03b6d1 100644
--- a/llama_stack/apis/graders/graders.py
+++ b/llama_stack/apis/graders/graders.py
@@ -20,7 +20,7 @@ from typing import (
 from pydantic import BaseModel, Field
 
 from llama_stack.apis.datasets import DatasetPurpose
-from llama_stack.apis.resource import Resource, ResourceType
+from llama_stack.apis.resource import Resource
 from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
 
 from .graders import *  # noqa: F401 F403
@@ -96,37 +96,37 @@ class RegexParserGraderParams(BaseModel):
 
 @json_schema_type
 class LlmGrader(BaseModel):
-    type: Literal[GraderType.llm.value] = GraderType.llm.value
+    type: Literal["llm"] = "llm"
     llm: LlmGraderParams
 
 
 @json_schema_type
 class RegexParserGrader(BaseModel):
-    type: Literal[GraderType.regex_parser.value] = GraderType.regex_parser.value
+    type: Literal["regex_parser"] = "regex_parser"
     regex_parser: RegexParserGraderParams
 
 
 @json_schema_type
 class EqualityGrader(BaseModel):
-    type: Literal[GraderType.equality.value] = GraderType.equality.value
+    type: Literal["equality"] = "equality"
     equality: BasicGraderParams
 
 
 @json_schema_type
 class SubsetOfGrader(BaseModel):
-    type: Literal[GraderType.subset_of.value] = GraderType.subset_of.value
+    type: Literal["subset_of"] = "subset_of"
     subset_of: BasicGraderParams
 
 
 @json_schema_type
 class FactualityGrader(BaseModel):
-    type: Literal[GraderType.factuality.value] = GraderType.factuality.value
+    type: Literal["factuality"] = "factuality"
     factuality: BasicGraderParams
 
 
 @json_schema_type
 class FaithfulnessGrader(BaseModel):
-    type: Literal[GraderType.faithfulness.value] = GraderType.faithfulness.value
+    type: Literal["faithfulness"] = "faithfulness"
     faithfulness: BasicGraderParams
 
 
@@ -157,7 +157,7 @@ class CommonGraderFields(BaseModel):
 
 @json_schema_type
 class Grader(CommonGraderFields, Resource):
-    type: Literal[ResourceType.grader.value] = ResourceType.grader.value
+    type: Literal["grader"] = "grader"
 
     @property
     def grader_id(self) -> str:

From 08c0c5505e68750a48e0fad3149e56d6eadeb3e0 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 21:09:49 -0700
Subject: [PATCH 58/73] feat(eval api): (2.1/n) fix resolver for benchmark
 routing table + fix precommit (#1691)

# What does this PR do?
- fixes routing table so that `llama stack run` works
- fixes pre-commit
- one of many fixes to address implementation fix

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan
```
llama stack run
```

[//]: # (## Documentation)
---
 .../distribution/routers/routing_tables.py    | 35 ++++++++++---------
 .../open-benchmark/open_benchmark.py          | 10 +++---
 llama_stack/templates/open-benchmark/run.yaml | 10 +++---
 pyproject.toml                                |  2 ++
 4 files changed, 31 insertions(+), 26 deletions(-)

diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py
index 5dea942f7..3e44d2926 100644
--- a/llama_stack/distribution/routers/routing_tables.py
+++ b/llama_stack/distribution/routers/routing_tables.py
@@ -466,35 +466,38 @@ class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):
             raise ValueError(f"Benchmark '{benchmark_id}' not found")
         return benchmark
 
+    async def unregister_benchmark(self, benchmark_id: str) -> None:
+        benchmark = await self.get_benchmark(benchmark_id)
+        if benchmark is None:
+            raise ValueError(f"Benchmark {benchmark_id} not found")
+        await self.unregister_object(benchmark)
+
     async def register_benchmark(
         self,
-        benchmark_id: str,
         dataset_id: str,
-        scoring_functions: List[str],
+        grader_ids: List[str],
+        benchmark_id: Optional[str] = None,
         metadata: Optional[Dict[str, Any]] = None,
-        provider_benchmark_id: Optional[str] = None,
-        provider_id: Optional[str] = None,
-    ) -> None:
+    ) -> Benchmark:
         if metadata is None:
             metadata = {}
-        if provider_id is None:
-            if len(self.impls_by_provider_id) == 1:
-                provider_id = list(self.impls_by_provider_id.keys())[0]
-            else:
-                raise ValueError(
-                    "No provider specified and multiple providers available. Please specify a provider_id."
-                )
-        if provider_benchmark_id is None:
-            provider_benchmark_id = benchmark_id
+
+        # TODO (xiyan): we will need a way to infer provider_id for evaluation
+        # keep it as meta-reference for now
+        if len(self.impls_by_provider_id) == 0:
+            raise ValueError("No evaluation providers available. Please configure an evaluation provider.")
+        provider_id = list(self.impls_by_provider_id.keys())[0]
+
         benchmark = Benchmark(
             identifier=benchmark_id,
             dataset_id=dataset_id,
-            scoring_functions=scoring_functions,
+            grader_ids=grader_ids,
             metadata=metadata,
             provider_id=provider_id,
-            provider_resource_id=provider_benchmark_id,
+            provider_resource_id=benchmark_id,
         )
         await self.register_object(benchmark)
+        return benchmark
 
 
 class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups):
diff --git a/llama_stack/templates/open-benchmark/open_benchmark.py b/llama_stack/templates/open-benchmark/open_benchmark.py
index b339e8c80..03e524dae 100644
--- a/llama_stack/templates/open-benchmark/open_benchmark.py
+++ b/llama_stack/templates/open-benchmark/open_benchmark.py
@@ -214,27 +214,27 @@ def get_distribution_template() -> DistributionTemplate:
         BenchmarkInput(
             benchmark_id="meta-reference-simpleqa",
             dataset_id="simpleqa",
-            scoring_functions=["llm-as-judge::405b-simpleqa"],
+            grader_ids=["llm-as-judge::405b-simpleqa"],
         ),
         BenchmarkInput(
             benchmark_id="meta-reference-mmlu-cot",
             dataset_id="mmlu_cot",
-            scoring_functions=["basic::regex_parser_multiple_choice_answer"],
+            grader_ids=["basic::regex_parser_multiple_choice_answer"],
         ),
         BenchmarkInput(
             benchmark_id="meta-reference-gpqa-cot",
             dataset_id="gpqa_cot",
-            scoring_functions=["basic::regex_parser_multiple_choice_answer"],
+            grader_ids=["basic::regex_parser_multiple_choice_answer"],
         ),
         BenchmarkInput(
             benchmark_id="meta-reference-math-500",
             dataset_id="math_500",
-            scoring_functions=["basic::regex_parser_math_response"],
+            grader_ids=["basic::regex_parser_math_response"],
         ),
         BenchmarkInput(
             benchmark_id="meta-reference-bfcl",
             dataset_id="bfcl",
-            scoring_functions=["basic::bfcl"],
+            grader_ids=["basic::bfcl"],
         ),
     ]
     return DistributionTemplate(
diff --git a/llama_stack/templates/open-benchmark/run.yaml b/llama_stack/templates/open-benchmark/run.yaml
index 93f437273..a3c00af56 100644
--- a/llama_stack/templates/open-benchmark/run.yaml
+++ b/llama_stack/templates/open-benchmark/run.yaml
@@ -196,27 +196,27 @@ datasets:
 scoring_fns: []
 benchmarks:
 - dataset_id: simpleqa
-  scoring_functions:
+  grader_ids:
   - llm-as-judge::405b-simpleqa
   metadata: {}
   benchmark_id: meta-reference-simpleqa
 - dataset_id: mmlu_cot
-  scoring_functions:
+  grader_ids:
   - basic::regex_parser_multiple_choice_answer
   metadata: {}
   benchmark_id: meta-reference-mmlu-cot
 - dataset_id: gpqa_cot
-  scoring_functions:
+  grader_ids:
   - basic::regex_parser_multiple_choice_answer
   metadata: {}
   benchmark_id: meta-reference-gpqa-cot
 - dataset_id: math_500
-  scoring_functions:
+  grader_ids:
   - basic::regex_parser_math_response
   metadata: {}
   benchmark_id: meta-reference-math-500
 - dataset_id: bfcl
-  scoring_functions:
+  grader_ids:
   - basic::bfcl
   metadata: {}
   benchmark_id: meta-reference-bfcl
diff --git a/pyproject.toml b/pyproject.toml
index 107150cee..cf4e81ab8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -186,6 +186,8 @@ exclude = [
     "^llama_stack/apis/tools/tools\\.py$",
     "^llama_stack/apis/vector_dbs/vector_dbs\\.py$",
     "^llama_stack/apis/vector_io/vector_io\\.py$",
+    "^llama_stack/apis/graders/graders\\.py$",
+    "^llama_stack/apis/evaluation/evaluation\\.py$",
     "^llama_stack/cli/download\\.py$",
     "^llama_stack/cli/llama\\.py$",
     "^llama_stack/cli/stack/_build\\.py$",

From a92756a4b7b53a9975f085ccdf3dd1a4db04a676 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Tue, 18 Mar 2025 22:09:35 -0700
Subject: [PATCH 59/73] result_data in evaluation response

---
 docs/_static/llama-stack-spec.html        | 33 ++++++++++++++++++-----
 docs/_static/llama-stack-spec.yaml        | 21 +++++++++------
 llama_stack/apis/evaluation/evaluation.py | 21 +++------------
 3 files changed, 43 insertions(+), 32 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 0f223b51b..2a294ea11 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -8653,7 +8653,7 @@
             "EvaluationResponse": {
                 "type": "object",
                 "properties": {
-                    "generations": {
+                    "result_data": {
                         "type": "array",
                         "items": {
                             "type": "object",
@@ -8680,20 +8680,39 @@
                                 ]
                             }
                         },
-                        "description": "The generations in rows for the evaluation."
+                        "description": "The result data containing generations and grades in each row."
                     },
-                    "scores": {
+                    "metrics": {
                         "type": "object",
                         "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
+                            "oneOf": [
+                                {
+                                    "type": "null"
+                                },
+                                {
+                                    "type": "boolean"
+                                },
+                                {
+                                    "type": "number"
+                                },
+                                {
+                                    "type": "string"
+                                },
+                                {
+                                    "type": "array"
+                                },
+                                {
+                                    "type": "object"
+                                }
+                            ]
                         },
-                        "description": "The scores for the evaluation. Map of grader id to ScoringResult."
+                        "description": "Map of metric name to aggregated value."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "generations",
-                    "scores"
+                    "result_data",
+                    "metrics"
                 ],
                 "title": "EvaluationResponse",
                 "description": "A response to an inline evaluation."
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 7c4ea81b8..7508acd66 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -6018,7 +6018,7 @@ components:
     EvaluationResponse:
       type: object
       properties:
-        generations:
+        result_data:
           type: array
           items:
             type: object
@@ -6031,17 +6031,22 @@ components:
                 - type: array
                 - type: object
           description: >-
-            The generations in rows for the evaluation.
-        scores:
+            The result data containing generations and grades in each row.
+        metrics:
           type: object
           additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: >-
-            The scores for the evaluation. Map of grader id to ScoringResult.
+            oneOf:
+              - type: 'null'
+              - type: boolean
+              - type: number
+              - type: string
+              - type: array
+              - type: object
+          description: Map of metric name to aggregated value.
       additionalProperties: false
       required:
-        - generations
-        - scores
+        - result_data
+        - metrics
       title: EvaluationResponse
       description: A response to an inline evaluation.
     HealthInfo:
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 269004b26..8d6fdd201 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -76,30 +76,17 @@ class EvaluationJob(CommonJobFields):
     candidate: EvaluationCandidate
 
 
-@json_schema_type
-class ScoringResult(BaseModel):
-    """
-    A scoring result for a single row.
-
-    :param scores: The scoring result for each row. Each row is a map of grader column name to value.
-    :param metrics: Map of metric name to aggregated value.
-    """
-
-    scores: List[Dict[str, Any]]
-    metrics: Dict[str, Any]
-
-
 @json_schema_type
 class EvaluationResponse(BaseModel):
     """
     A response to an inline evaluation.
 
-    :param generations: The generations in rows for the evaluation.
-    :param scores: The scores for the evaluation. Map of grader id to ScoringResult.
+    :param result_data: The result data containing generations and grades in each row.
+    :param metrics: Map of metric name to aggregated value.
     """
 
-    generations: List[Dict[str, Any]]
-    scores: Dict[str, ScoringResult]
+    result_data: List[Dict[str, Any]]
+    metrics: Dict[str, Any]
 
 
 class Evaluation(Protocol):

From 42447729e4479d7b30e9653a378dd363f54d0f39 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Wed, 19 Mar 2025 09:48:30 -0700
Subject: [PATCH 60/73] update

---
 docs/_static/llama-stack-spec.html        | 12 ++++++------
 docs/_static/llama-stack-spec.yaml        | 12 ++++++------
 llama_stack/apis/evaluation/evaluation.py |  8 ++++----
 3 files changed, 16 insertions(+), 16 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 2a294ea11..15b06257f 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -8653,7 +8653,7 @@
             "EvaluationResponse": {
                 "type": "object",
                 "properties": {
-                    "result_data": {
+                    "result_rows": {
                         "type": "array",
                         "items": {
                             "type": "object",
@@ -8680,9 +8680,9 @@
                                 ]
                             }
                         },
-                        "description": "The result data containing generations and grades in each row."
+                        "description": "The result data containing inputs, generations and grades in each row."
                     },
-                    "metrics": {
+                    "grades": {
                         "type": "object",
                         "additionalProperties": {
                             "oneOf": [
@@ -8706,13 +8706,13 @@
                                 }
                             ]
                         },
-                        "description": "Map of metric name to aggregated value."
+                        "description": "Map of grader id to aggregated value."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "result_data",
-                    "metrics"
+                    "result_rows",
+                    "grades"
                 ],
                 "title": "EvaluationResponse",
                 "description": "A response to an inline evaluation."
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 7508acd66..0f83dd3d7 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -6018,7 +6018,7 @@ components:
     EvaluationResponse:
       type: object
       properties:
-        result_data:
+        result_rows:
           type: array
           items:
             type: object
@@ -6031,8 +6031,8 @@ components:
                 - type: array
                 - type: object
           description: >-
-            The result data containing generations and grades in each row.
-        metrics:
+            The result data containing inputs, generations and grades in each row.
+        grades:
           type: object
           additionalProperties:
             oneOf:
@@ -6042,11 +6042,11 @@ components:
               - type: string
               - type: array
               - type: object
-          description: Map of metric name to aggregated value.
+          description: Map of grader id to aggregated value.
       additionalProperties: false
       required:
-        - result_data
-        - metrics
+        - result_rows
+        - grades
       title: EvaluationResponse
       description: A response to an inline evaluation.
     HealthInfo:
diff --git a/llama_stack/apis/evaluation/evaluation.py b/llama_stack/apis/evaluation/evaluation.py
index 8d6fdd201..bde27e0be 100644
--- a/llama_stack/apis/evaluation/evaluation.py
+++ b/llama_stack/apis/evaluation/evaluation.py
@@ -81,12 +81,12 @@ class EvaluationResponse(BaseModel):
     """
     A response to an inline evaluation.
 
-    :param result_data: The result data containing generations and grades in each row.
-    :param metrics: Map of metric name to aggregated value.
+    :param result_rows: The result data containing inputs, generations and grades in each row.
+    :param grades: Map of grader id to aggregated value.
     """
 
-    result_data: List[Dict[str, Any]]
-    metrics: Dict[str, Any]
+    result_rows: List[Dict[str, Any]]
+    grades: Dict[str, Any]
 
 
 class Evaluation(Protocol):

From 0048274ec0bbdde9c9bfd478b06fd88e0c06de3a Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Wed, 19 Mar 2025 09:49:53 -0700
Subject: [PATCH 61/73] update

---
 docs/_static/llama-stack-spec.html        | 4 ++--
 docs/_static/llama-stack-spec.yaml        | 5 +++--
 llama_stack/apis/benchmarks/benchmarks.py | 4 ++--
 3 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 15b06257f..b1fe8e832 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -10328,14 +10328,14 @@
                 "properties": {
                     "dataset_id": {
                         "type": "string",
-                        "description": "The ID of the dataset to be used to run the benchmark."
+                        "description": "The ID of the dataset to be used to run the benchmark. ID obtained through `datasets.register()`"
                     },
                     "grader_ids": {
                         "type": "array",
                         "items": {
                             "type": "string"
                         },
-                        "description": "List of grader ids to use for this benchmark."
+                        "description": "List of grader ids to use for this benchmark. ID obtained through `graders.register()`"
                     },
                     "benchmark_id": {
                         "type": "string",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 0f83dd3d7..f91744f98 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -7084,13 +7084,14 @@ components:
         dataset_id:
           type: string
           description: >-
-            The ID of the dataset to be used to run the benchmark.
+            The ID of the dataset to be used to run the benchmark. ID obtained through
+            `datasets.register()`
         grader_ids:
           type: array
           items:
             type: string
           description: >-
-            List of grader ids to use for this benchmark.
+            List of grader ids to use for this benchmark. ID obtained through `graders.register()`
         benchmark_id:
           type: string
           description: >-
diff --git a/llama_stack/apis/benchmarks/benchmarks.py b/llama_stack/apis/benchmarks/benchmarks.py
index 3c5624e62..534aa6884 100644
--- a/llama_stack/apis/benchmarks/benchmarks.py
+++ b/llama_stack/apis/benchmarks/benchmarks.py
@@ -62,8 +62,8 @@ class Benchmarks(Protocol):
         """
         Register a new benchmark. A benchmark consists of a dataset id and a list of grader ids.
 
-        :param dataset_id: The ID of the dataset to be used to run the benchmark.
-        :param grader_ids: List of grader ids to use for this benchmark.
+        :param dataset_id: The ID of the dataset to be used to run the benchmark. ID obtained through `datasets.register()`
+        :param grader_ids: List of grader ids to use for this benchmark. ID obtained through `graders.register()`
         :param benchmark_id: (Optional) The ID of the benchmark to register. If not provided, an ID will be generated.
         :param metadata: (Optional) Metadata for this benchmark for additional descriptions.
         """

From c1d18283d2a34f209925e7b1f1ebd30435a447ea Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Wed, 19 Mar 2025 11:04:23 -0700
Subject: [PATCH 62/73] feat(eval api): (2.2/n) delete eval / scoring /
 scoring_fn apis (#1700)

# What does this PR do?
- To make it easier, delete existing `eval/scoring/scoring_function`
apis. There will be a bunch of broken impls here. The sequence is:
1. migrate benchmark graders
2. clean up existing scoring functions

- Add a skeleton evaluation impl to make tests pass.

## Test Plan
tested in following PRs

[//]: # (## Documentation)
---
 distributions/dependencies.json               |   54 -
 docs/_static/llama-stack-spec.html            | 1353 +----------------
 docs/_static/llama-stack-spec.yaml            |  911 +----------
 .../remote_hosted_distro/nvidia.md            |    2 -
 .../self_hosted_distro/bedrock.md             |    2 -
 .../self_hosted_distro/cerebras.md            |    2 -
 .../self_hosted_distro/fireworks.md           |    2 -
 .../distributions/self_hosted_distro/groq.md  |    2 -
 .../self_hosted_distro/meta-reference-gpu.md  |    2 -
 .../meta-reference-quantized-gpu.md           |    2 -
 .../self_hosted_distro/ollama.md              |    2 -
 .../self_hosted_distro/passthrough.md         |    2 -
 .../self_hosted_distro/remote-vllm.md         |    2 -
 .../distributions/self_hosted_distro/tgi.md   |    2 -
 .../self_hosted_distro/together.md            |    2 -
 llama_stack/apis/datatypes.py                 |    4 +-
 llama_stack/apis/eval/__init__.py             |    7 -
 llama_stack/apis/eval/eval.py                 |  145 --
 llama_stack/apis/scoring/__init__.py          |    7 -
 llama_stack/apis/scoring/scoring.py           |   78 -
 .../apis/scoring_functions/__init__.py        |    7 -
 .../scoring_functions/scoring_functions.py    |  149 --
 llama_stack/distribution/datatypes.py         |    8 -
 llama_stack/distribution/distribution.py      |   12 +-
 llama_stack/distribution/resolver.py          |   30 +-
 llama_stack/distribution/routers/__init__.py  |    6 -
 llama_stack/distribution/routers/routers.py   |  142 --
 .../distribution/routers/routing_tables.py    |   61 +-
 llama_stack/distribution/stack.py             |   12 -
 llama_stack/distribution/ui/modules/api.py    |    5 +-
 .../ui/page/distribution/resources.py         |    6 +-
 llama_stack/providers/datatypes.py            |    7 -
 .../inline/eval/meta_reference/__init__.py    |    1 -
 .../inline/eval/meta_reference/eval.py        |    5 +-
 .../evaluation/meta_reference/__init__.py     |   27 +
 .../evaluation/meta_reference/config.py       |   26 +
 .../evaluation/meta_reference/evaluation.py   |   71 +
 llama_stack/providers/registry/eval.py        |   28 -
 llama_stack/providers/registry/evaluation.py  |   36 +
 llama_stack/providers/registry/scoring.py     |   49 -
 .../utils/common/data_schema_validator.py     |   46 +-
 llama_stack/templates/bedrock/bedrock.py      |    8 +-
 llama_stack/templates/bedrock/build.yaml      |    6 -
 llama_stack/templates/bedrock/run.yaml        |   22 -
 llama_stack/templates/cerebras/build.yaml     |    6 -
 llama_stack/templates/cerebras/cerebras.py    |    8 +-
 llama_stack/templates/cerebras/run.yaml       |   22 -
 llama_stack/templates/ci-tests/build.yaml     |    6 -
 llama_stack/templates/ci-tests/ci_tests.py    |   12 +-
 llama_stack/templates/ci-tests/run.yaml       |   22 -
 llama_stack/templates/dell/build.yaml         |    6 -
 llama_stack/templates/dell/dell.py            |    2 -
 .../templates/dell/run-with-safety.yaml       |   22 -
 llama_stack/templates/dell/run.yaml           |   22 -
 llama_stack/templates/dev/build.yaml          |    6 -
 llama_stack/templates/dev/dev.py              |   36 +-
 llama_stack/templates/dev/run.yaml            |   22 -
 llama_stack/templates/fireworks/build.yaml    |    6 -
 llama_stack/templates/fireworks/fireworks.py  |    8 +-
 .../templates/fireworks/run-with-safety.yaml  |   22 -
 llama_stack/templates/fireworks/run.yaml      |   22 -
 llama_stack/templates/groq/build.yaml         |    6 -
 llama_stack/templates/groq/groq.py            |   14 +-
 llama_stack/templates/groq/run.yaml           |   22 -
 llama_stack/templates/hf-endpoint/build.yaml  |    6 -
 .../templates/hf-endpoint/hf_endpoint.py      |    2 -
 .../hf-endpoint/run-with-safety.yaml          |   22 -
 llama_stack/templates/hf-endpoint/run.yaml    |   22 -
 .../templates/hf-serverless/build.yaml        |    6 -
 .../templates/hf-serverless/hf_serverless.py  |    2 -
 .../hf-serverless/run-with-safety.yaml        |   22 -
 llama_stack/templates/hf-serverless/run.yaml  |   22 -
 .../templates/meta-reference-gpu/build.yaml   |    6 -
 .../meta-reference-gpu/meta_reference.py      |    2 -
 .../meta-reference-gpu/run-with-safety.yaml   |   22 -
 .../templates/meta-reference-gpu/run.yaml     |   22 -
 .../meta-reference-quantized-gpu/build.yaml   |    6 -
 .../meta_reference.py                         |    2 -
 .../meta-reference-quantized-gpu/run.yaml     |   22 -
 llama_stack/templates/nvidia/build.yaml       |    4 -
 llama_stack/templates/nvidia/nvidia.py        |   15 +-
 .../templates/nvidia/run-with-safety.yaml     |   15 -
 llama_stack/templates/nvidia/run.yaml         |   15 -
 llama_stack/templates/ollama/build.yaml       |    6 -
 llama_stack/templates/ollama/ollama.py        |    2 -
 .../templates/ollama/run-with-safety.yaml     |   22 -
 llama_stack/templates/ollama/run.yaml         |   22 -
 .../templates/open-benchmark/build.yaml       |    6 -
 .../open-benchmark/open_benchmark.py          |   60 +-
 llama_stack/templates/open-benchmark/run.yaml |   49 +-
 llama_stack/templates/passthrough/build.yaml  |    6 -
 .../templates/passthrough/passthrough.py      |    7 +-
 .../passthrough/run-with-safety.yaml          |   22 -
 llama_stack/templates/passthrough/run.yaml    |   22 -
 llama_stack/templates/remote-vllm/build.yaml  |    6 -
 .../remote-vllm/run-with-safety.yaml          |   22 -
 llama_stack/templates/remote-vllm/run.yaml    |   22 -
 llama_stack/templates/remote-vllm/vllm.py     |    2 -
 llama_stack/templates/sambanova/run.yaml      |    1 -
 llama_stack/templates/tgi/build.yaml          |    6 -
 .../templates/tgi/run-with-safety.yaml        |   22 -
 llama_stack/templates/tgi/run.yaml            |   22 -
 llama_stack/templates/tgi/tgi.py              |    2 -
 llama_stack/templates/together/build.yaml     |    6 -
 .../templates/together/run-with-safety.yaml   |   22 -
 llama_stack/templates/together/run.yaml       |   22 -
 llama_stack/templates/together/together.py    |    8 +-
 llama_stack/templates/vllm-gpu/build.yaml     |    6 -
 llama_stack/templates/vllm-gpu/run.yaml       |   22 -
 llama_stack/templates/vllm-gpu/vllm.py        |    2 -
 pyproject.toml                                |    4 +-
 tests/integration/eval/test_eval.py           |    2 +
 tests/integration/scoring/test_scoring.py     |    5 +
 113 files changed, 408 insertions(+), 3900 deletions(-)
 delete mode 100644 llama_stack/apis/eval/__init__.py
 delete mode 100644 llama_stack/apis/eval/eval.py
 delete mode 100644 llama_stack/apis/scoring/__init__.py
 delete mode 100644 llama_stack/apis/scoring/scoring.py
 delete mode 100644 llama_stack/apis/scoring_functions/__init__.py
 delete mode 100644 llama_stack/apis/scoring_functions/scoring_functions.py
 create mode 100644 llama_stack/providers/inline/evaluation/meta_reference/__init__.py
 create mode 100644 llama_stack/providers/inline/evaluation/meta_reference/config.py
 create mode 100644 llama_stack/providers/inline/evaluation/meta_reference/evaluation.py
 delete mode 100644 llama_stack/providers/registry/eval.py
 create mode 100644 llama_stack/providers/registry/evaluation.py
 delete mode 100644 llama_stack/providers/registry/scoring.py

diff --git a/distributions/dependencies.json b/distributions/dependencies.json
index 33b497a33..1767523d6 100644
--- a/distributions/dependencies.json
+++ b/distributions/dependencies.json
@@ -1,7 +1,6 @@
 {
   "bedrock": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "boto3",
     "chardet",
@@ -15,7 +14,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -30,12 +28,10 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn"
   ],
   "cerebras": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "cerebras_cloud_sdk",
     "chardet",
@@ -48,7 +44,6 @@
     "matplotlib",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -63,14 +58,12 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
   "ci-tests": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -83,7 +76,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -99,7 +91,6 @@
     "sqlite-vec",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
@@ -107,7 +98,6 @@
   "dell": [
     "aiohttp",
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -120,7 +110,6 @@
     "matplotlib",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -135,14 +124,12 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
   "dev": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -156,7 +143,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -172,14 +158,12 @@
     "sqlite-vec",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
   "fireworks": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -193,7 +177,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -208,14 +191,12 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
   "groq": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "datasets",
@@ -227,7 +208,6 @@
     "matplotlib",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -242,13 +222,11 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn"
   ],
   "hf-endpoint": [
     "aiohttp",
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -262,7 +240,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -277,13 +254,11 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn"
   ],
   "hf-serverless": [
     "aiohttp",
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -297,7 +272,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -312,7 +286,6 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
@@ -320,7 +293,6 @@
   "meta-reference-gpu": [
     "accelerate",
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -335,7 +307,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -353,14 +324,12 @@
     "torchvision",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "zmq"
   ],
   "meta-reference-quantized-gpu": [
     "accelerate",
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -376,7 +345,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -395,7 +363,6 @@
     "torchvision",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "zmq"
   ],
@@ -425,13 +392,11 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn"
   ],
   "ollama": [
     "aiohttp",
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -445,7 +410,6 @@
     "nltk",
     "numpy",
     "ollama",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -460,12 +424,10 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn"
   ],
   "open-benchmark": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -478,7 +440,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -495,12 +456,10 @@
     "together",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn"
   ],
   "passthrough": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -513,7 +472,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -528,14 +486,12 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
   "remote-vllm": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -563,7 +519,6 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
@@ -600,7 +555,6 @@
   "tgi": [
     "aiohttp",
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -614,7 +568,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -629,14 +582,12 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
   "together": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -649,7 +600,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -665,14 +615,12 @@
     "together",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "sentence-transformers --no-deps",
     "torch torchvision --index-url https://download.pytorch.org/whl/cpu"
   ],
   "vllm-gpu": [
     "aiosqlite",
-    "autoevals",
     "blobfile",
     "chardet",
     "chromadb-client",
@@ -685,7 +633,6 @@
     "mcp",
     "nltk",
     "numpy",
-    "openai",
     "opentelemetry-exporter-otlp-proto-http",
     "opentelemetry-sdk",
     "pandas",
@@ -700,7 +647,6 @@
     "sentencepiece",
     "tqdm",
     "transformers",
-    "tree_sitter",
     "uvicorn",
     "vllm",
     "sentence-transformers --no-deps",
diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index b1fe8e832..e3505752f 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -909,59 +909,6 @@
                 }
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}/evaluations": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "EvaluateResponse object containing generations and scores",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/EvaluateResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Evaluate a list of rows on a benchmark.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/EvaluateRowsRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}": {
             "get": {
                 "responses": {
@@ -1396,48 +1343,6 @@
                 ]
             }
         },
-        "/v1/scoring-functions/{scoring_fn_id}": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/ScoringFn"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "ScoringFunctions"
-                ],
-                "description": "",
-                "parameters": [
-                    {
-                        "name": "scoring_fn_id",
-                        "in": "path",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            }
-        },
         "/v1/shields/{identifier}": {
             "get": {
                 "responses": {
@@ -2372,153 +2277,6 @@
                 ]
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "The status of the evaluationjob.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/JobStatus"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Get the status of a job.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    },
-                    {
-                        "name": "job_id",
-                        "in": "path",
-                        "description": "The ID of the job to get the status of.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            },
-            "delete": {
-                "responses": {
-                    "200": {
-                        "description": "OK"
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Cancel a job.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    },
-                    {
-                        "name": "job_id",
-                        "in": "path",
-                        "description": "The ID of the job to cancel.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            }
-        },
-        "/v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "The result of the job.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/EvaluateResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Get the result of a job.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    },
-                    {
-                        "name": "job_id",
-                        "in": "path",
-                        "description": "The ID of the job to get the result of.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ]
-            }
-        },
         "/v1/agents/{agent_id}/sessions": {
             "get": {
                 "responses": {
@@ -3050,73 +2808,6 @@
                 ]
             }
         },
-        "/v1/scoring-functions": {
-            "get": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/ListScoringFunctionsResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "ScoringFunctions"
-                ],
-                "description": "",
-                "parameters": []
-            },
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "OK"
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "ScoringFunctions"
-                ],
-                "description": "",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/RegisterScoringFunctionRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/shields": {
             "get": {
                 "responses": {
@@ -3744,59 +3435,6 @@
                 }
             }
         },
-        "/v1/eval/benchmarks/{benchmark_id}/jobs": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "The job that was created to run the evaluation.",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/Job"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Eval"
-                ],
-                "description": "Run an evaluation on a benchmark.",
-                "parameters": [
-                    {
-                        "name": "benchmark_id",
-                        "in": "path",
-                        "description": "The ID of the benchmark to run the evaluation on.",
-                        "required": true,
-                        "schema": {
-                            "type": "string"
-                        }
-                    }
-                ],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/RunEvalRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/safety/run-shield": {
             "post": {
                 "responses": {
@@ -3919,92 +3557,6 @@
                 }
             }
         },
-        "/v1/scoring/score": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "ScoreResponse object containing rows and aggregated results",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/ScoreResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Scoring"
-                ],
-                "description": "Score a list of rows.",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/ScoreRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
-        "/v1/scoring/score-batch": {
-            "post": {
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "content": {
-                            "application/json": {
-                                "schema": {
-                                    "$ref": "#/components/schemas/ScoreBatchResponse"
-                                }
-                            }
-                        }
-                    },
-                    "400": {
-                        "$ref": "#/components/responses/BadRequest400"
-                    },
-                    "429": {
-                        "$ref": "#/components/responses/TooManyRequests429"
-                    },
-                    "500": {
-                        "$ref": "#/components/responses/InternalServerError500"
-                    },
-                    "default": {
-                        "$ref": "#/components/responses/DefaultError"
-                    }
-                },
-                "tags": [
-                    "Scoring"
-                ],
-                "description": "",
-                "parameters": [],
-                "requestBody": {
-                    "content": {
-                        "application/json": {
-                            "schema": {
-                                "$ref": "#/components/schemas/ScoreBatchRequest"
-                            }
-                        }
-                    },
-                    "required": true
-                }
-            }
-        },
         "/v1/post-training/supervised-fine-tune": {
             "post": {
                 "responses": {
@@ -6630,381 +6182,6 @@
                 "title": "EmbeddingsResponse",
                 "description": "Response containing generated embeddings."
             },
-            "AgentCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "agent",
-                        "default": "agent"
-                    },
-                    "config": {
-                        "$ref": "#/components/schemas/AgentConfig",
-                        "description": "The configuration for the agent candidate."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "config"
-                ],
-                "title": "AgentCandidate",
-                "description": "An agent candidate for evaluation."
-            },
-            "AggregationFunctionType": {
-                "type": "string",
-                "enum": [
-                    "average",
-                    "median",
-                    "categorical_count",
-                    "accuracy"
-                ],
-                "title": "AggregationFunctionType"
-            },
-            "BasicScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "basic",
-                        "default": "basic"
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "BasicScoringFnParams"
-            },
-            "BenchmarkConfig": {
-                "type": "object",
-                "properties": {
-                    "eval_candidate": {
-                        "$ref": "#/components/schemas/EvalCandidate",
-                        "description": "The candidate to evaluate."
-                    },
-                    "scoring_params": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringFnParams"
-                        },
-                        "description": "Map between scoring function id and parameters for each scoring function you want to run"
-                    },
-                    "num_examples": {
-                        "type": "integer",
-                        "description": "(Optional) The number of examples to evaluate. If not provided, all examples in the dataset will be evaluated"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "eval_candidate",
-                    "scoring_params"
-                ],
-                "title": "BenchmarkConfig",
-                "description": "A benchmark configuration for evaluation."
-            },
-            "EvalCandidate": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/ModelCandidate"
-                    },
-                    {
-                        "$ref": "#/components/schemas/AgentCandidate"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "model": "#/components/schemas/ModelCandidate",
-                        "agent": "#/components/schemas/AgentCandidate"
-                    }
-                }
-            },
-            "LLMAsJudgeScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "llm_as_judge",
-                        "default": "llm_as_judge"
-                    },
-                    "judge_model": {
-                        "type": "string"
-                    },
-                    "prompt_template": {
-                        "type": "string"
-                    },
-                    "judge_score_regexes": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "judge_model"
-                ],
-                "title": "LLMAsJudgeScoringFnParams"
-            },
-            "ModelCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "model",
-                        "default": "model"
-                    },
-                    "model": {
-                        "type": "string",
-                        "description": "The model ID to evaluate."
-                    },
-                    "sampling_params": {
-                        "$ref": "#/components/schemas/SamplingParams",
-                        "description": "The sampling parameters for the model."
-                    },
-                    "system_message": {
-                        "$ref": "#/components/schemas/SystemMessage",
-                        "description": "(Optional) The system message providing instructions or context to the model."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "model",
-                    "sampling_params"
-                ],
-                "title": "ModelCandidate",
-                "description": "A model candidate for evaluation."
-            },
-            "RegexParserScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "regex_parser",
-                        "default": "regex_parser"
-                    },
-                    "parsing_regexes": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "RegexParserScoringFnParams"
-            },
-            "ScoringFnParams": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/LLMAsJudgeScoringFnParams"
-                    },
-                    {
-                        "$ref": "#/components/schemas/RegexParserScoringFnParams"
-                    },
-                    {
-                        "$ref": "#/components/schemas/BasicScoringFnParams"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "llm_as_judge": "#/components/schemas/LLMAsJudgeScoringFnParams",
-                        "regex_parser": "#/components/schemas/RegexParserScoringFnParams",
-                        "basic": "#/components/schemas/BasicScoringFnParams"
-                    }
-                }
-            },
-            "EvaluateRowsRequest": {
-                "type": "object",
-                "properties": {
-                    "input_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The rows to evaluate."
-                    },
-                    "scoring_functions": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        },
-                        "description": "The scoring functions to use for the evaluation."
-                    },
-                    "benchmark_config": {
-                        "$ref": "#/components/schemas/BenchmarkConfig",
-                        "description": "The configuration for the benchmark."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "input_rows",
-                    "scoring_functions",
-                    "benchmark_config"
-                ],
-                "title": "EvaluateRowsRequest"
-            },
-            "EvaluateResponse": {
-                "type": "object",
-                "properties": {
-                    "generations": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The generations from the evaluation."
-                    },
-                    "scores": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "The scores from the evaluation."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "generations",
-                    "scores"
-                ],
-                "title": "EvaluateResponse",
-                "description": "The response from an evaluation."
-            },
-            "ScoringResult": {
-                "type": "object",
-                "properties": {
-                    "score_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The scoring result for each row. Each row is a map of column name to value."
-                    },
-                    "aggregated_results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "type": "null"
-                                },
-                                {
-                                    "type": "boolean"
-                                },
-                                {
-                                    "type": "number"
-                                },
-                                {
-                                    "type": "string"
-                                },
-                                {
-                                    "type": "array"
-                                },
-                                {
-                                    "type": "object"
-                                }
-                            ]
-                        },
-                        "description": "Map of metric name to aggregated value"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "score_rows",
-                    "aggregated_results"
-                ],
-                "title": "ScoringResult",
-                "description": "A scoring result for a single row."
-            },
             "Agent": {
                 "type": "object",
                 "properties": {
@@ -7732,268 +6909,6 @@
                 ],
                 "title": "ModelType"
             },
-            "AgentTurnInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "agent_turn_input",
-                        "default": "agent_turn_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "AgentTurnInputType"
-            },
-            "ArrayType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "array",
-                        "default": "array"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ArrayType"
-            },
-            "BooleanType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "boolean",
-                        "default": "boolean"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "BooleanType"
-            },
-            "ChatCompletionInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "chat_completion_input",
-                        "default": "chat_completion_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ChatCompletionInputType"
-            },
-            "CompletionInputType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "completion_input",
-                        "default": "completion_input"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "CompletionInputType"
-            },
-            "JsonType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "json",
-                        "default": "json"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "JsonType"
-            },
-            "NumberType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "number",
-                        "default": "number"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "NumberType"
-            },
-            "ObjectType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "object",
-                        "default": "object"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "ObjectType"
-            },
-            "ParamType": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/StringType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/NumberType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/BooleanType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ArrayType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ObjectType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/JsonType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/UnionType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/ChatCompletionInputType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/CompletionInputType"
-                    },
-                    {
-                        "$ref": "#/components/schemas/AgentTurnInputType"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "string": "#/components/schemas/StringType",
-                        "number": "#/components/schemas/NumberType",
-                        "boolean": "#/components/schemas/BooleanType",
-                        "array": "#/components/schemas/ArrayType",
-                        "object": "#/components/schemas/ObjectType",
-                        "json": "#/components/schemas/JsonType",
-                        "union": "#/components/schemas/UnionType",
-                        "chat_completion_input": "#/components/schemas/ChatCompletionInputType",
-                        "completion_input": "#/components/schemas/CompletionInputType",
-                        "agent_turn_input": "#/components/schemas/AgentTurnInputType"
-                    }
-                }
-            },
-            "ScoringFn": {
-                "type": "object",
-                "properties": {
-                    "identifier": {
-                        "type": "string"
-                    },
-                    "provider_resource_id": {
-                        "type": "string"
-                    },
-                    "provider_id": {
-                        "type": "string"
-                    },
-                    "type": {
-                        "type": "string",
-                        "const": "scoring_function",
-                        "default": "scoring_function"
-                    },
-                    "description": {
-                        "type": "string"
-                    },
-                    "metadata": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "type": "null"
-                                },
-                                {
-                                    "type": "boolean"
-                                },
-                                {
-                                    "type": "number"
-                                },
-                                {
-                                    "type": "string"
-                                },
-                                {
-                                    "type": "array"
-                                },
-                                {
-                                    "type": "object"
-                                }
-                            ]
-                        }
-                    },
-                    "return_type": {
-                        "$ref": "#/components/schemas/ParamType"
-                    },
-                    "params": {
-                        "$ref": "#/components/schemas/ScoringFnParams"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "identifier",
-                    "provider_resource_id",
-                    "provider_id",
-                    "type",
-                    "metadata",
-                    "return_type"
-                ],
-                "title": "ScoringFn"
-            },
-            "StringType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "string",
-                        "default": "string"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "StringType"
-            },
-            "UnionType": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "union",
-                        "default": "union"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "UnionType"
-            },
             "Shield": {
                 "type": "object",
                 "properties": {
@@ -8564,6 +7479,26 @@
                 ],
                 "title": "GradeRequest"
             },
+            "AgentCandidate": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "agent",
+                        "default": "agent"
+                    },
+                    "agent_config": {
+                        "$ref": "#/components/schemas/AgentConfig"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "agent_config"
+                ],
+                "title": "AgentCandidate",
+                "description": "An agent candidate for evaluation."
+            },
             "EvaluationCandidate": {
                 "oneOf": [
                     {
@@ -8636,6 +7571,35 @@
                 ],
                 "title": "EvaluationJob"
             },
+            "ModelCandidate": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "model",
+                        "default": "model"
+                    },
+                    "model_id": {
+                        "type": "string"
+                    },
+                    "sampling_params": {
+                        "$ref": "#/components/schemas/SamplingParams",
+                        "description": "The sampling parameters for the model."
+                    },
+                    "system_message": {
+                        "$ref": "#/components/schemas/SystemMessage",
+                        "description": "(Optional) The system message providing instructions or context to the model."
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type",
+                    "model_id",
+                    "sampling_params"
+                ],
+                "title": "ModelCandidate",
+                "description": "A model candidate for evaluation."
+            },
             "GradeSyncRequest": {
                 "type": "object",
                 "properties": {
@@ -9049,17 +8013,6 @@
                 "title": "IterrowsResponse",
                 "description": "A paginated list of rows from a dataset."
             },
-            "JobStatus": {
-                "type": "string",
-                "enum": [
-                    "completed",
-                    "in_progress",
-                    "failed",
-                    "scheduled",
-                    "cancelled"
-                ],
-                "title": "JobStatus"
-            },
             "ListAgentSessionsResponse": {
                 "type": "object",
                 "properties": {
@@ -9320,22 +8273,6 @@
                 ],
                 "title": "ListRoutesResponse"
             },
-            "ListScoringFunctionsResponse": {
-                "type": "object",
-                "properties": {
-                    "data": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/ScoringFn"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "data"
-                ],
-                "title": "ListScoringFunctionsResponse"
-            },
             "ListShieldsResponse": {
                 "type": "object",
                 "properties": {
@@ -10520,36 +9457,6 @@
                 ],
                 "title": "RegisterModelRequest"
             },
-            "RegisterScoringFunctionRequest": {
-                "type": "object",
-                "properties": {
-                    "scoring_fn_id": {
-                        "type": "string"
-                    },
-                    "description": {
-                        "type": "string"
-                    },
-                    "return_type": {
-                        "$ref": "#/components/schemas/ParamType"
-                    },
-                    "provider_scoring_fn_id": {
-                        "type": "string"
-                    },
-                    "provider_id": {
-                        "type": "string"
-                    },
-                    "params": {
-                        "$ref": "#/components/schemas/ScoringFnParams"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "scoring_fn_id",
-                    "description",
-                    "return_type"
-                ],
-                "title": "RegisterScoringFunctionRequest"
-            },
             "RegisterShieldRequest": {
                 "type": "object",
                 "properties": {
@@ -10705,33 +9612,6 @@
                 ],
                 "title": "RunRequest"
             },
-            "RunEvalRequest": {
-                "type": "object",
-                "properties": {
-                    "benchmark_config": {
-                        "$ref": "#/components/schemas/BenchmarkConfig",
-                        "description": "The configuration for the benchmark."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "benchmark_config"
-                ],
-                "title": "RunEvalRequest"
-            },
-            "Job": {
-                "type": "object",
-                "properties": {
-                    "job_id": {
-                        "type": "string"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "job_id"
-                ],
-                "title": "Job"
-            },
             "RunShieldRequest": {
                 "type": "object",
                 "properties": {
@@ -10837,128 +9717,6 @@
                 ],
                 "title": "SaveSpansToDatasetRequest"
             },
-            "ScoreRequest": {
-                "type": "object",
-                "properties": {
-                    "input_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The rows to score."
-                    },
-                    "scoring_functions": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "$ref": "#/components/schemas/ScoringFnParams"
-                                },
-                                {
-                                    "type": "null"
-                                }
-                            ]
-                        },
-                        "description": "The scoring functions to use for the scoring."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "input_rows",
-                    "scoring_functions"
-                ],
-                "title": "ScoreRequest"
-            },
-            "ScoreResponse": {
-                "type": "object",
-                "properties": {
-                    "results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "A map of scoring function name to ScoringResult."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "results"
-                ],
-                "title": "ScoreResponse",
-                "description": "The response from scoring."
-            },
-            "ScoreBatchRequest": {
-                "type": "object",
-                "properties": {
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "scoring_functions": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "$ref": "#/components/schemas/ScoringFnParams"
-                                },
-                                {
-                                    "type": "null"
-                                }
-                            ]
-                        }
-                    },
-                    "save_results_dataset": {
-                        "type": "boolean"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "dataset_id",
-                    "scoring_functions",
-                    "save_results_dataset"
-                ],
-                "title": "ScoreBatchRequest"
-            },
-            "ScoreBatchResponse": {
-                "type": "object",
-                "properties": {
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "results"
-                ],
-                "title": "ScoreBatchResponse"
-            },
             "LoraFinetuningConfig": {
                 "type": "object",
                 "properties": {
@@ -11311,10 +10069,6 @@
         {
             "name": "Datasets"
         },
-        {
-            "name": "Eval",
-            "x-displayName": "Llama Stack Evaluation API for running evaluations on model and agent candidates."
-        },
         {
             "name": "Evaluation"
         },
@@ -11345,12 +10099,6 @@
         {
             "name": "Safety"
         },
-        {
-            "name": "Scoring"
-        },
-        {
-            "name": "ScoringFunctions"
-        },
         {
             "name": "Shields"
         },
@@ -11382,7 +10130,6 @@
                 "Benchmarks",
                 "DatasetIO",
                 "Datasets",
-                "Eval",
                 "Evaluation",
                 "Files",
                 "Graders",
@@ -11392,8 +10139,6 @@
                 "PostTraining (Coming Soon)",
                 "Providers",
                 "Safety",
-                "Scoring",
-                "ScoringFunctions",
                 "Shields",
                 "SyntheticDataGeneration (Coming Soon)",
                 "Telemetry",
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index f91744f98..1fee27e59 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -622,43 +622,6 @@ paths:
             schema:
               $ref: '#/components/schemas/EmbeddingsRequest'
         required: true
-  /v1/eval/benchmarks/{benchmark_id}/evaluations:
-    post:
-      responses:
-        '200':
-          description: >-
-            EvaluateResponse object containing generations and scores
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluateResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Evaluate a list of rows on a benchmark.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/EvaluateRowsRequest'
-        required: true
   /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}:
     get:
       responses:
@@ -956,34 +919,6 @@ paths:
           required: true
           schema:
             type: string
-  /v1/scoring-functions/{scoring_fn_id}:
-    get:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/ScoringFn'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - ScoringFunctions
-      description: ''
-      parameters:
-        - name: scoring_fn_id
-          in: path
-          required: true
-          schema:
-            type: string
   /v1/shields/{identifier}:
     get:
       responses:
@@ -1627,109 +1562,6 @@ paths:
           required: false
           schema:
             type: integer
-  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}:
-    get:
-      responses:
-        '200':
-          description: The status of the evaluationjob.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/JobStatus'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Get the status of a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to get the status of.
-          required: true
-          schema:
-            type: string
-    delete:
-      responses:
-        '200':
-          description: OK
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Cancel a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to cancel.
-          required: true
-          schema:
-            type: string
-  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result:
-    get:
-      responses:
-        '200':
-          description: The result of the job.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluateResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Get the result of a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to get the result of.
-          required: true
-          schema:
-            type: string
   /v1/agents/{agent_id}/sessions:
     get:
       responses:
@@ -2098,53 +1930,6 @@ paths:
           required: false
           schema:
             $ref: '#/components/schemas/URL'
-  /v1/scoring-functions:
-    get:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/ListScoringFunctionsResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - ScoringFunctions
-      description: ''
-      parameters: []
-    post:
-      responses:
-        '200':
-          description: OK
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - ScoringFunctions
-      description: ''
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/RegisterScoringFunctionRequest'
-        required: true
   /v1/shields:
     get:
       responses:
@@ -2581,43 +2366,6 @@ paths:
             schema:
               $ref: '#/components/schemas/RunRequest'
         required: true
-  /v1/eval/benchmarks/{benchmark_id}/jobs:
-    post:
-      responses:
-        '200':
-          description: >-
-            The job that was created to run the evaluation.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/Job'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Run an evaluation on a benchmark.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/RunEvalRequest'
-        required: true
   /v1/safety/run-shield:
     post:
       responses:
@@ -2704,65 +2452,6 @@ paths:
             schema:
               $ref: '#/components/schemas/SaveSpansToDatasetRequest'
         required: true
-  /v1/scoring/score:
-    post:
-      responses:
-        '200':
-          description: >-
-            ScoreResponse object containing rows and aggregated results
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/ScoreResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Scoring
-      description: Score a list of rows.
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/ScoreRequest'
-        required: true
-  /v1/scoring/score-batch:
-    post:
-      responses:
-        '200':
-          description: OK
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/ScoreBatchResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Scoring
-      description: ''
-      parameters: []
-      requestBody:
-        content:
-          application/json:
-            schema:
-              $ref: '#/components/schemas/ScoreBatchRequest'
-        required: true
   /v1/post-training/supervised-fine-tune:
     post:
       responses:
@@ -4652,251 +4341,6 @@ components:
       title: EmbeddingsResponse
       description: >-
         Response containing generated embeddings.
-    AgentCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: agent
-          default: agent
-        config:
-          $ref: '#/components/schemas/AgentConfig'
-          description: >-
-            The configuration for the agent candidate.
-      additionalProperties: false
-      required:
-        - type
-        - config
-      title: AgentCandidate
-      description: An agent candidate for evaluation.
-    AggregationFunctionType:
-      type: string
-      enum:
-        - average
-        - median
-        - categorical_count
-        - accuracy
-      title: AggregationFunctionType
-    BasicScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: basic
-          default: basic
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-      title: BasicScoringFnParams
-    BenchmarkConfig:
-      type: object
-      properties:
-        eval_candidate:
-          $ref: '#/components/schemas/EvalCandidate'
-          description: The candidate to evaluate.
-        scoring_params:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringFnParams'
-          description: >-
-            Map between scoring function id and parameters for each scoring function
-            you want to run
-        num_examples:
-          type: integer
-          description: >-
-            (Optional) The number of examples to evaluate. If not provided, all examples
-            in the dataset will be evaluated
-      additionalProperties: false
-      required:
-        - eval_candidate
-        - scoring_params
-      title: BenchmarkConfig
-      description: >-
-        A benchmark configuration for evaluation.
-    EvalCandidate:
-      oneOf:
-        - $ref: '#/components/schemas/ModelCandidate'
-        - $ref: '#/components/schemas/AgentCandidate'
-      discriminator:
-        propertyName: type
-        mapping:
-          model: '#/components/schemas/ModelCandidate'
-          agent: '#/components/schemas/AgentCandidate'
-    LLMAsJudgeScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: llm_as_judge
-          default: llm_as_judge
-        judge_model:
-          type: string
-        prompt_template:
-          type: string
-        judge_score_regexes:
-          type: array
-          items:
-            type: string
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-        - judge_model
-      title: LLMAsJudgeScoringFnParams
-    ModelCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: model
-          default: model
-        model:
-          type: string
-          description: The model ID to evaluate.
-        sampling_params:
-          $ref: '#/components/schemas/SamplingParams'
-          description: The sampling parameters for the model.
-        system_message:
-          $ref: '#/components/schemas/SystemMessage'
-          description: >-
-            (Optional) The system message providing instructions or context to the
-            model.
-      additionalProperties: false
-      required:
-        - type
-        - model
-        - sampling_params
-      title: ModelCandidate
-      description: A model candidate for evaluation.
-    RegexParserScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: regex_parser
-          default: regex_parser
-        parsing_regexes:
-          type: array
-          items:
-            type: string
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-      title: RegexParserScoringFnParams
-    ScoringFnParams:
-      oneOf:
-        - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams'
-        - $ref: '#/components/schemas/RegexParserScoringFnParams'
-        - $ref: '#/components/schemas/BasicScoringFnParams'
-      discriminator:
-        propertyName: type
-        mapping:
-          llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams'
-          regex_parser: '#/components/schemas/RegexParserScoringFnParams'
-          basic: '#/components/schemas/BasicScoringFnParams'
-    EvaluateRowsRequest:
-      type: object
-      properties:
-        input_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The rows to evaluate.
-        scoring_functions:
-          type: array
-          items:
-            type: string
-          description: >-
-            The scoring functions to use for the evaluation.
-        benchmark_config:
-          $ref: '#/components/schemas/BenchmarkConfig'
-          description: The configuration for the benchmark.
-      additionalProperties: false
-      required:
-        - input_rows
-        - scoring_functions
-        - benchmark_config
-      title: EvaluateRowsRequest
-    EvaluateResponse:
-      type: object
-      properties:
-        generations:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The generations from the evaluation.
-        scores:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: The scores from the evaluation.
-      additionalProperties: false
-      required:
-        - generations
-        - scores
-      title: EvaluateResponse
-      description: The response from an evaluation.
-    ScoringResult:
-      type: object
-      properties:
-        score_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: >-
-            The scoring result for each row. Each row is a map of column name to value.
-        aggregated_results:
-          type: object
-          additionalProperties:
-            oneOf:
-              - type: 'null'
-              - type: boolean
-              - type: number
-              - type: string
-              - type: array
-              - type: object
-          description: Map of metric name to aggregated value
-      additionalProperties: false
-      required:
-        - score_rows
-        - aggregated_results
-      title: ScoringResult
-      description: A scoring result for a single row.
     Agent:
       type: object
       properties:
@@ -5392,179 +4836,6 @@ components:
         - llm
         - embedding
       title: ModelType
-    AgentTurnInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: agent_turn_input
-          default: agent_turn_input
-      additionalProperties: false
-      required:
-        - type
-      title: AgentTurnInputType
-    ArrayType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: array
-          default: array
-      additionalProperties: false
-      required:
-        - type
-      title: ArrayType
-    BooleanType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: boolean
-          default: boolean
-      additionalProperties: false
-      required:
-        - type
-      title: BooleanType
-    ChatCompletionInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: chat_completion_input
-          default: chat_completion_input
-      additionalProperties: false
-      required:
-        - type
-      title: ChatCompletionInputType
-    CompletionInputType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: completion_input
-          default: completion_input
-      additionalProperties: false
-      required:
-        - type
-      title: CompletionInputType
-    JsonType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: json
-          default: json
-      additionalProperties: false
-      required:
-        - type
-      title: JsonType
-    NumberType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: number
-          default: number
-      additionalProperties: false
-      required:
-        - type
-      title: NumberType
-    ObjectType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: object
-          default: object
-      additionalProperties: false
-      required:
-        - type
-      title: ObjectType
-    ParamType:
-      oneOf:
-        - $ref: '#/components/schemas/StringType'
-        - $ref: '#/components/schemas/NumberType'
-        - $ref: '#/components/schemas/BooleanType'
-        - $ref: '#/components/schemas/ArrayType'
-        - $ref: '#/components/schemas/ObjectType'
-        - $ref: '#/components/schemas/JsonType'
-        - $ref: '#/components/schemas/UnionType'
-        - $ref: '#/components/schemas/ChatCompletionInputType'
-        - $ref: '#/components/schemas/CompletionInputType'
-        - $ref: '#/components/schemas/AgentTurnInputType'
-      discriminator:
-        propertyName: type
-        mapping:
-          string: '#/components/schemas/StringType'
-          number: '#/components/schemas/NumberType'
-          boolean: '#/components/schemas/BooleanType'
-          array: '#/components/schemas/ArrayType'
-          object: '#/components/schemas/ObjectType'
-          json: '#/components/schemas/JsonType'
-          union: '#/components/schemas/UnionType'
-          chat_completion_input: '#/components/schemas/ChatCompletionInputType'
-          completion_input: '#/components/schemas/CompletionInputType'
-          agent_turn_input: '#/components/schemas/AgentTurnInputType'
-    ScoringFn:
-      type: object
-      properties:
-        identifier:
-          type: string
-        provider_resource_id:
-          type: string
-        provider_id:
-          type: string
-        type:
-          type: string
-          const: scoring_function
-          default: scoring_function
-        description:
-          type: string
-        metadata:
-          type: object
-          additionalProperties:
-            oneOf:
-              - type: 'null'
-              - type: boolean
-              - type: number
-              - type: string
-              - type: array
-              - type: object
-        return_type:
-          $ref: '#/components/schemas/ParamType'
-        params:
-          $ref: '#/components/schemas/ScoringFnParams'
-      additionalProperties: false
-      required:
-        - identifier
-        - provider_resource_id
-        - provider_id
-        - type
-        - metadata
-        - return_type
-      title: ScoringFn
-    StringType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: string
-          default: string
-      additionalProperties: false
-      required:
-        - type
-      title: StringType
-    UnionType:
-      type: object
-      properties:
-        type:
-          type: string
-          const: union
-          default: union
-      additionalProperties: false
-      required:
-        - type
-      title: UnionType
     Shield:
       type: object
       properties:
@@ -5947,6 +5218,21 @@ components:
       required:
         - task
       title: GradeRequest
+    AgentCandidate:
+      type: object
+      properties:
+        type:
+          type: string
+          const: agent
+          default: agent
+        agent_config:
+          $ref: '#/components/schemas/AgentConfig'
+      additionalProperties: false
+      required:
+        - type
+        - agent_config
+      title: AgentCandidate
+      description: An agent candidate for evaluation.
     EvaluationCandidate:
       oneOf:
         - $ref: '#/components/schemas/ModelCandidate'
@@ -6000,6 +5286,30 @@ components:
         - task
         - candidate
       title: EvaluationJob
+    ModelCandidate:
+      type: object
+      properties:
+        type:
+          type: string
+          const: model
+          default: model
+        model_id:
+          type: string
+        sampling_params:
+          $ref: '#/components/schemas/SamplingParams'
+          description: The sampling parameters for the model.
+        system_message:
+          $ref: '#/components/schemas/SystemMessage'
+          description: >-
+            (Optional) The system message providing instructions or context to the
+            model.
+      additionalProperties: false
+      required:
+        - type
+        - model_id
+        - sampling_params
+      title: ModelCandidate
+      description: A model candidate for evaluation.
     GradeSyncRequest:
       type: object
       properties:
@@ -6235,15 +5545,6 @@ components:
         - data
       title: IterrowsResponse
       description: A paginated list of rows from a dataset.
-    JobStatus:
-      type: string
-      enum:
-        - completed
-        - in_progress
-        - failed
-        - scheduled
-        - cancelled
-      title: JobStatus
     ListAgentSessionsResponse:
       type: object
       properties:
@@ -6436,17 +5737,6 @@ components:
       required:
         - data
       title: ListRoutesResponse
-    ListScoringFunctionsResponse:
-      type: object
-      properties:
-        data:
-          type: array
-          items:
-            $ref: '#/components/schemas/ScoringFn'
-      additionalProperties: false
-      required:
-        - data
-      title: ListScoringFunctionsResponse
     ListShieldsResponse:
       type: object
       properties:
@@ -7223,27 +6513,6 @@ components:
       required:
         - model_id
       title: RegisterModelRequest
-    RegisterScoringFunctionRequest:
-      type: object
-      properties:
-        scoring_fn_id:
-          type: string
-        description:
-          type: string
-        return_type:
-          $ref: '#/components/schemas/ParamType'
-        provider_scoring_fn_id:
-          type: string
-        provider_id:
-          type: string
-        params:
-          $ref: '#/components/schemas/ScoringFnParams'
-      additionalProperties: false
-      required:
-        - scoring_fn_id
-        - description
-        - return_type
-      title: RegisterScoringFunctionRequest
     RegisterShieldRequest:
       type: object
       properties:
@@ -7344,25 +6613,6 @@ components:
         - task
         - candidate
       title: RunRequest
-    RunEvalRequest:
-      type: object
-      properties:
-        benchmark_config:
-          $ref: '#/components/schemas/BenchmarkConfig'
-          description: The configuration for the benchmark.
-      additionalProperties: false
-      required:
-        - benchmark_config
-      title: RunEvalRequest
-    Job:
-      type: object
-      properties:
-        job_id:
-          type: string
-      additionalProperties: false
-      required:
-        - job_id
-      title: Job
     RunShieldRequest:
       type: object
       properties:
@@ -7435,81 +6685,6 @@ components:
         - attributes_to_save
         - dataset_id
       title: SaveSpansToDatasetRequest
-    ScoreRequest:
-      type: object
-      properties:
-        input_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The rows to score.
-        scoring_functions:
-          type: object
-          additionalProperties:
-            oneOf:
-              - $ref: '#/components/schemas/ScoringFnParams'
-              - type: 'null'
-          description: >-
-            The scoring functions to use for the scoring.
-      additionalProperties: false
-      required:
-        - input_rows
-        - scoring_functions
-      title: ScoreRequest
-    ScoreResponse:
-      type: object
-      properties:
-        results:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: >-
-            A map of scoring function name to ScoringResult.
-      additionalProperties: false
-      required:
-        - results
-      title: ScoreResponse
-      description: The response from scoring.
-    ScoreBatchRequest:
-      type: object
-      properties:
-        dataset_id:
-          type: string
-        scoring_functions:
-          type: object
-          additionalProperties:
-            oneOf:
-              - $ref: '#/components/schemas/ScoringFnParams'
-              - type: 'null'
-        save_results_dataset:
-          type: boolean
-      additionalProperties: false
-      required:
-        - dataset_id
-        - scoring_functions
-        - save_results_dataset
-      title: ScoreBatchRequest
-    ScoreBatchResponse:
-      type: object
-      properties:
-        dataset_id:
-          type: string
-        results:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-      additionalProperties: false
-      required:
-        - results
-      title: ScoreBatchResponse
     LoraFinetuningConfig:
       type: object
       properties:
@@ -7740,9 +6915,6 @@ tags:
   - name: Benchmarks
   - name: DatasetIO
   - name: Datasets
-  - name: Eval
-    x-displayName: >-
-      Llama Stack Evaluation API for running evaluations on model and agent candidates.
   - name: Evaluation
   - name: Files
   - name: Graders
@@ -7765,8 +6937,6 @@ tags:
     x-displayName: >-
       Providers API for inspecting, listing, and modifying providers and their configurations.
   - name: Safety
-  - name: Scoring
-  - name: ScoringFunctions
   - name: Shields
   - name: SyntheticDataGeneration (Coming Soon)
   - name: Telemetry
@@ -7782,7 +6952,6 @@ x-tagGroups:
       - Benchmarks
       - DatasetIO
       - Datasets
-      - Eval
       - Evaluation
       - Files
       - Graders
@@ -7792,8 +6961,6 @@ x-tagGroups:
       - PostTraining (Coming Soon)
       - Providers
       - Safety
-      - Scoring
-      - ScoringFunctions
       - Shields
       - SyntheticDataGeneration (Coming Soon)
       - Telemetry
diff --git a/docs/source/distributions/remote_hosted_distro/nvidia.md b/docs/source/distributions/remote_hosted_distro/nvidia.md
index 774d5ec1b..5d7bb4ef4 100644
--- a/docs/source/distributions/remote_hosted_distro/nvidia.md
+++ b/docs/source/distributions/remote_hosted_distro/nvidia.md
@@ -7,10 +7,8 @@ The `llamastack/distribution-nvidia` distribution consists of the following prov
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::nvidia` |
 | safety | `remote::nvidia` |
-| scoring | `inline::basic` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `inline::rag-runtime` |
 | vector_io | `inline::faiss` |
diff --git a/docs/source/distributions/self_hosted_distro/bedrock.md b/docs/source/distributions/self_hosted_distro/bedrock.md
index 623ab6848..92a934222 100644
--- a/docs/source/distributions/self_hosted_distro/bedrock.md
+++ b/docs/source/distributions/self_hosted_distro/bedrock.md
@@ -14,10 +14,8 @@ The `llamastack/distribution-bedrock` distribution consists of the following pro
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::bedrock` |
 | safety | `remote::bedrock` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/cerebras.md b/docs/source/distributions/self_hosted_distro/cerebras.md
index 8f14ae7cc..4b6673830 100644
--- a/docs/source/distributions/self_hosted_distro/cerebras.md
+++ b/docs/source/distributions/self_hosted_distro/cerebras.md
@@ -7,10 +7,8 @@ The `llamastack/distribution-cerebras` distribution consists of the following pr
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::cerebras`, `inline::sentence-transformers` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/fireworks.md b/docs/source/distributions/self_hosted_distro/fireworks.md
index 3c8f5eec9..1ab3db57d 100644
--- a/docs/source/distributions/self_hosted_distro/fireworks.md
+++ b/docs/source/distributions/self_hosted_distro/fireworks.md
@@ -17,10 +17,8 @@ The `llamastack/distribution-fireworks` distribution consists of the following p
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::fireworks`, `inline::sentence-transformers` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `remote::wolfram-alpha`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/groq.md b/docs/source/distributions/self_hosted_distro/groq.md
index ce3f8aecc..cc25bc955 100644
--- a/docs/source/distributions/self_hosted_distro/groq.md
+++ b/docs/source/distributions/self_hosted_distro/groq.md
@@ -17,10 +17,8 @@ The `llamastack/distribution-groq` distribution consists of the following provid
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::groq` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime` |
 | vector_io | `inline::faiss` |
diff --git a/docs/source/distributions/self_hosted_distro/meta-reference-gpu.md b/docs/source/distributions/self_hosted_distro/meta-reference-gpu.md
index b8d1b1714..c5e5fccc2 100644
--- a/docs/source/distributions/self_hosted_distro/meta-reference-gpu.md
+++ b/docs/source/distributions/self_hosted_distro/meta-reference-gpu.md
@@ -17,10 +17,8 @@ The `llamastack/distribution-meta-reference-gpu` distribution consists of the fo
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `inline::meta-reference` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/meta-reference-quantized-gpu.md b/docs/source/distributions/self_hosted_distro/meta-reference-quantized-gpu.md
index a49175e22..9dcffb536 100644
--- a/docs/source/distributions/self_hosted_distro/meta-reference-quantized-gpu.md
+++ b/docs/source/distributions/self_hosted_distro/meta-reference-quantized-gpu.md
@@ -17,10 +17,8 @@ The `llamastack/distribution-meta-reference-quantized-gpu` distribution consists
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `inline::meta-reference-quantized` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/ollama.md b/docs/source/distributions/self_hosted_distro/ollama.md
index 9bfa4211c..f525c24aa 100644
--- a/docs/source/distributions/self_hosted_distro/ollama.md
+++ b/docs/source/distributions/self_hosted_distro/ollama.md
@@ -17,10 +17,8 @@ The `llamastack/distribution-ollama` distribution consists of the following prov
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::ollama` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol`, `remote::wolfram-alpha` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/passthrough.md b/docs/source/distributions/self_hosted_distro/passthrough.md
index 558d7ca08..b13f41cad 100644
--- a/docs/source/distributions/self_hosted_distro/passthrough.md
+++ b/docs/source/distributions/self_hosted_distro/passthrough.md
@@ -17,10 +17,8 @@ The `llamastack/distribution-passthrough` distribution consists of the following
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::passthrough`, `inline::sentence-transformers` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `remote::wolfram-alpha`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/remote-vllm.md b/docs/source/distributions/self_hosted_distro/remote-vllm.md
index b7e155385..b33105cb2 100644
--- a/docs/source/distributions/self_hosted_distro/remote-vllm.md
+++ b/docs/source/distributions/self_hosted_distro/remote-vllm.md
@@ -16,10 +16,8 @@ The `llamastack/distribution-remote-vllm` distribution consists of the following
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::vllm`, `inline::sentence-transformers` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol`, `remote::wolfram-alpha` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/tgi.md b/docs/source/distributions/self_hosted_distro/tgi.md
index e126f9a08..6852f843c 100644
--- a/docs/source/distributions/self_hosted_distro/tgi.md
+++ b/docs/source/distributions/self_hosted_distro/tgi.md
@@ -18,10 +18,8 @@ The `llamastack/distribution-tgi` distribution consists of the following provide
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::tgi`, `inline::sentence-transformers` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/docs/source/distributions/self_hosted_distro/together.md b/docs/source/distributions/self_hosted_distro/together.md
index fa02199b0..ebfda2e26 100644
--- a/docs/source/distributions/self_hosted_distro/together.md
+++ b/docs/source/distributions/self_hosted_distro/together.md
@@ -17,10 +17,8 @@ The `llamastack/distribution-together` distribution consists of the following pr
 |-----|-------------|
 | agents | `inline::meta-reference` |
 | datasetio | `remote::huggingface`, `inline::localfs` |
-| eval | `inline::meta-reference` |
 | inference | `remote::together`, `inline::sentence-transformers` |
 | safety | `inline::llama-guard` |
-| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
 | telemetry | `inline::meta-reference` |
 | tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol`, `remote::wolfram-alpha` |
 | vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
diff --git a/llama_stack/apis/datatypes.py b/llama_stack/apis/datatypes.py
index f644e5137..a373d8165 100644
--- a/llama_stack/apis/datatypes.py
+++ b/llama_stack/apis/datatypes.py
@@ -20,10 +20,9 @@ class Api(Enum):
     agents = "agents"
     vector_io = "vector_io"
     datasetio = "datasetio"
-    scoring = "scoring"
-    eval = "eval"
     post_training = "post_training"
     tool_runtime = "tool_runtime"
+    evaluation = "evaluation"
 
     telemetry = "telemetry"
 
@@ -31,7 +30,6 @@ class Api(Enum):
     shields = "shields"
     vector_dbs = "vector_dbs"
     datasets = "datasets"
-    scoring_functions = "scoring_functions"
     benchmarks = "benchmarks"
     tool_groups = "tool_groups"
 
diff --git a/llama_stack/apis/eval/__init__.py b/llama_stack/apis/eval/__init__.py
deleted file mode 100644
index 5f91ad70d..000000000
--- a/llama_stack/apis/eval/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from .eval import *  # noqa: F401 F403
diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
deleted file mode 100644
index 51c38b16a..000000000
--- a/llama_stack/apis/eval/eval.py
+++ /dev/null
@@ -1,145 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import Any, Dict, List, Literal, Optional, Protocol, Union
-
-from pydantic import BaseModel, Field
-from typing_extensions import Annotated
-
-from llama_stack.apis.agents import AgentConfig
-from llama_stack.apis.common.job_types import Job, JobStatus
-from llama_stack.apis.inference import SamplingParams, SystemMessage
-from llama_stack.apis.scoring import ScoringResult
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
-
-
-@json_schema_type
-class ModelCandidate(BaseModel):
-    """A model candidate for evaluation.
-
-    :param model: The model ID to evaluate.
-    :param sampling_params: The sampling parameters for the model.
-    :param system_message: (Optional) The system message providing instructions or context to the model.
-    """
-
-    type: Literal["model"] = "model"
-    model: str
-    sampling_params: SamplingParams
-    system_message: Optional[SystemMessage] = None
-
-
-@json_schema_type
-class AgentCandidate(BaseModel):
-    """An agent candidate for evaluation.
-
-    :param config: The configuration for the agent candidate.
-    """
-
-    type: Literal["agent"] = "agent"
-    config: AgentConfig
-
-
-EvalCandidate = register_schema(
-    Annotated[Union[ModelCandidate, AgentCandidate], Field(discriminator="type")],
-    name="EvalCandidate",
-)
-
-
-@json_schema_type
-class BenchmarkConfig(BaseModel):
-    """A benchmark configuration for evaluation.
-
-    :param eval_candidate: The candidate to evaluate.
-    :param scoring_params: Map between scoring function id and parameters for each scoring function you want to run
-    :param num_examples: (Optional) The number of examples to evaluate. If not provided, all examples in the dataset will be evaluated
-    """
-
-    eval_candidate: EvalCandidate
-    scoring_params: Dict[str, ScoringFnParams] = Field(
-        description="Map between scoring function id and parameters for each scoring function you want to run",
-        default_factory=dict,
-    )
-    num_examples: Optional[int] = Field(
-        description="Number of examples to evaluate (useful for testing), if not provided, all examples in the dataset will be evaluated",
-        default=None,
-    )
-    # we could optinally add any specific dataset config here
-
-
-@json_schema_type
-class EvaluateResponse(BaseModel):
-    """The response from an evaluation.
-
-    :param generations: The generations from the evaluation.
-    :param scores: The scores from the evaluation.
-    """
-
-    generations: List[Dict[str, Any]]
-    # each key in the dict is a scoring function name
-    scores: Dict[str, ScoringResult]
-
-
-class Eval(Protocol):
-    """Llama Stack Evaluation API for running evaluations on model and agent candidates."""
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs", method="POST")
-    async def run_eval(
-        self,
-        benchmark_id: str,
-        benchmark_config: BenchmarkConfig,
-    ) -> Job:
-        """Run an evaluation on a benchmark.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param benchmark_config: The configuration for the benchmark.
-        :return: The job that was created to run the evaluation.
-        """
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/evaluations", method="POST")
-    async def evaluate_rows(
-        self,
-        benchmark_id: str,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: List[str],
-        benchmark_config: BenchmarkConfig,
-    ) -> EvaluateResponse:
-        """Evaluate a list of rows on a benchmark.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param input_rows: The rows to evaluate.
-        :param scoring_functions: The scoring functions to use for the evaluation.
-        :param benchmark_config: The configuration for the benchmark.
-        :return: EvaluateResponse object containing generations and scores
-        """
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}", method="GET")
-    async def job_status(self, benchmark_id: str, job_id: str) -> JobStatus:
-        """Get the status of a job.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param job_id: The ID of the job to get the status of.
-        :return: The status of the evaluationjob.
-        """
-        ...
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}", method="DELETE")
-    async def job_cancel(self, benchmark_id: str, job_id: str) -> None:
-        """Cancel a job.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param job_id: The ID of the job to cancel.
-        """
-        ...
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
-    async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
-        """Get the result of a job.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param job_id: The ID of the job to get the result of.
-        :return: The result of the job.
-        """
diff --git a/llama_stack/apis/scoring/__init__.py b/llama_stack/apis/scoring/__init__.py
deleted file mode 100644
index 0739dfc80..000000000
--- a/llama_stack/apis/scoring/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from .scoring import *  # noqa: F401 F403
diff --git a/llama_stack/apis/scoring/scoring.py b/llama_stack/apis/scoring/scoring.py
deleted file mode 100644
index 54a9ac2aa..000000000
--- a/llama_stack/apis/scoring/scoring.py
+++ /dev/null
@@ -1,78 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import Any, Dict, List, Optional, Protocol, runtime_checkable
-
-from pydantic import BaseModel
-
-from llama_stack.apis.scoring_functions import ScoringFn, ScoringFnParams
-from llama_stack.schema_utils import json_schema_type, webmethod
-
-# mapping of metric to value
-ScoringResultRow = Dict[str, Any]
-
-
-@json_schema_type
-class ScoringResult(BaseModel):
-    """
-    A scoring result for a single row.
-
-    :param score_rows: The scoring result for each row. Each row is a map of column name to value.
-    :param aggregated_results: Map of metric name to aggregated value
-    """
-
-    score_rows: List[ScoringResultRow]
-    # aggregated metrics to value
-    aggregated_results: Dict[str, Any]
-
-
-@json_schema_type
-class ScoreBatchResponse(BaseModel):
-    dataset_id: Optional[str] = None
-    results: Dict[str, ScoringResult]
-
-
-@json_schema_type
-class ScoreResponse(BaseModel):
-    """
-    The response from scoring.
-
-    :param results: A map of scoring function name to ScoringResult.
-    """
-
-    # each key in the dict is a scoring function name
-    results: Dict[str, ScoringResult]
-
-
-class ScoringFunctionStore(Protocol):
-    def get_scoring_function(self, scoring_fn_id: str) -> ScoringFn: ...
-
-
-@runtime_checkable
-class Scoring(Protocol):
-    scoring_function_store: ScoringFunctionStore
-
-    @webmethod(route="/scoring/score-batch", method="POST")
-    async def score_batch(
-        self,
-        dataset_id: str,
-        scoring_functions: Dict[str, Optional[ScoringFnParams]],
-        save_results_dataset: bool = False,
-    ) -> ScoreBatchResponse: ...
-
-    @webmethod(route="/scoring/score", method="POST")
-    async def score(
-        self,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: Dict[str, Optional[ScoringFnParams]],
-    ) -> ScoreResponse:
-        """Score a list of rows.
-
-        :param input_rows: The rows to score.
-        :param scoring_functions: The scoring functions to use for the scoring.
-        :return: ScoreResponse object containing rows and aggregated results
-        """
-        ...
diff --git a/llama_stack/apis/scoring_functions/__init__.py b/llama_stack/apis/scoring_functions/__init__.py
deleted file mode 100644
index b96acb45f..000000000
--- a/llama_stack/apis/scoring_functions/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from .scoring_functions import *  # noqa: F401 F403
diff --git a/llama_stack/apis/scoring_functions/scoring_functions.py b/llama_stack/apis/scoring_functions/scoring_functions.py
deleted file mode 100644
index b02a7a0c4..000000000
--- a/llama_stack/apis/scoring_functions/scoring_functions.py
+++ /dev/null
@@ -1,149 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from enum import Enum
-from typing import (
-    Any,
-    Dict,
-    List,
-    Literal,
-    Optional,
-    Protocol,
-    Union,
-    runtime_checkable,
-)
-
-from pydantic import BaseModel, Field
-from typing_extensions import Annotated
-
-from llama_stack.apis.common.type_system import ParamType
-from llama_stack.apis.resource import Resource, ResourceType
-from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
-
-
-# Perhaps more structure can be imposed on these functions. Maybe they could be associated
-# with standard metrics so they can be rolled up?
-@json_schema_type
-class ScoringFnParamsType(Enum):
-    llm_as_judge = "llm_as_judge"
-    regex_parser = "regex_parser"
-    basic = "basic"
-
-
-@json_schema_type
-class AggregationFunctionType(Enum):
-    average = "average"
-    median = "median"
-    categorical_count = "categorical_count"
-    accuracy = "accuracy"
-
-
-@json_schema_type
-class LLMAsJudgeScoringFnParams(BaseModel):
-    type: Literal[ScoringFnParamsType.llm_as_judge.value] = ScoringFnParamsType.llm_as_judge.value
-    judge_model: str
-    prompt_template: Optional[str] = None
-    judge_score_regexes: Optional[List[str]] = Field(
-        description="Regexes to extract the answer from generated response",
-        default_factory=list,
-    )
-    aggregation_functions: Optional[List[AggregationFunctionType]] = Field(
-        description="Aggregation functions to apply to the scores of each row",
-        default_factory=list,
-    )
-
-
-@json_schema_type
-class RegexParserScoringFnParams(BaseModel):
-    type: Literal[ScoringFnParamsType.regex_parser.value] = ScoringFnParamsType.regex_parser.value
-    parsing_regexes: Optional[List[str]] = Field(
-        description="Regex to extract the answer from generated response",
-        default_factory=list,
-    )
-    aggregation_functions: Optional[List[AggregationFunctionType]] = Field(
-        description="Aggregation functions to apply to the scores of each row",
-        default_factory=list,
-    )
-
-
-@json_schema_type
-class BasicScoringFnParams(BaseModel):
-    type: Literal[ScoringFnParamsType.basic.value] = ScoringFnParamsType.basic.value
-    aggregation_functions: Optional[List[AggregationFunctionType]] = Field(
-        description="Aggregation functions to apply to the scores of each row",
-        default_factory=list,
-    )
-
-
-ScoringFnParams = register_schema(
-    Annotated[
-        Union[
-            LLMAsJudgeScoringFnParams,
-            RegexParserScoringFnParams,
-            BasicScoringFnParams,
-        ],
-        Field(discriminator="type"),
-    ],
-    name="ScoringFnParams",
-)
-
-
-class CommonScoringFnFields(BaseModel):
-    description: Optional[str] = None
-    metadata: Dict[str, Any] = Field(
-        default_factory=dict,
-        description="Any additional metadata for this definition",
-    )
-    return_type: ParamType = Field(
-        description="The return type of the deterministic function",
-    )
-    params: Optional[ScoringFnParams] = Field(
-        description="The parameters for the scoring function for benchmark eval, these can be overridden for app eval",
-        default=None,
-    )
-
-
-@json_schema_type
-class ScoringFn(CommonScoringFnFields, Resource):
-    type: Literal[ResourceType.scoring_function.value] = ResourceType.scoring_function.value
-
-    @property
-    def scoring_fn_id(self) -> str:
-        return self.identifier
-
-    @property
-    def provider_scoring_fn_id(self) -> str:
-        return self.provider_resource_id
-
-
-class ScoringFnInput(CommonScoringFnFields, BaseModel):
-    scoring_fn_id: str
-    provider_id: Optional[str] = None
-    provider_scoring_fn_id: Optional[str] = None
-
-
-class ListScoringFunctionsResponse(BaseModel):
-    data: List[ScoringFn]
-
-
-@runtime_checkable
-class ScoringFunctions(Protocol):
-    @webmethod(route="/scoring-functions", method="GET")
-    async def list_scoring_functions(self) -> ListScoringFunctionsResponse: ...
-
-    @webmethod(route="/scoring-functions/{scoring_fn_id:path}", method="GET")
-    async def get_scoring_function(self, scoring_fn_id: str, /) -> ScoringFn: ...
-
-    @webmethod(route="/scoring-functions", method="POST")
-    async def register_scoring_function(
-        self,
-        scoring_fn_id: str,
-        description: str,
-        return_type: ParamType,
-        provider_scoring_fn_id: Optional[str] = None,
-        provider_id: Optional[str] = None,
-        params: Optional[ScoringFnParams] = None,
-    ) -> None: ...
diff --git a/llama_stack/distribution/datatypes.py b/llama_stack/distribution/datatypes.py
index e16e047e5..fea22a414 100644
--- a/llama_stack/distribution/datatypes.py
+++ b/llama_stack/distribution/datatypes.py
@@ -11,12 +11,9 @@ from pydantic import BaseModel, Field
 from llama_stack.apis.benchmarks import Benchmark, BenchmarkInput
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Dataset, DatasetInput
-from llama_stack.apis.eval import Eval
 from llama_stack.apis.inference import Inference
 from llama_stack.apis.models import Model, ModelInput
 from llama_stack.apis.safety import Safety
-from llama_stack.apis.scoring import Scoring
-from llama_stack.apis.scoring_functions import ScoringFn, ScoringFnInput
 from llama_stack.apis.shields import Shield, ShieldInput
 from llama_stack.apis.tools import Tool, ToolGroup, ToolGroupInput, ToolRuntime
 from llama_stack.apis.vector_dbs import VectorDB, VectorDBInput
@@ -36,7 +33,6 @@ RoutableObject = Union[
     Shield,
     VectorDB,
     Dataset,
-    ScoringFn,
     Benchmark,
     Tool,
     ToolGroup,
@@ -49,7 +45,6 @@ RoutableObjectWithProvider = Annotated[
         Shield,
         VectorDB,
         Dataset,
-        ScoringFn,
         Benchmark,
         Tool,
         ToolGroup,
@@ -62,8 +57,6 @@ RoutedProtocol = Union[
     Safety,
     VectorIO,
     DatasetIO,
-    Scoring,
-    Eval,
     ToolRuntime,
 ]
 
@@ -191,7 +184,6 @@ a default SQLite store will be used.""",
     shields: List[ShieldInput] = Field(default_factory=list)
     vector_dbs: List[VectorDBInput] = Field(default_factory=list)
     datasets: List[DatasetInput] = Field(default_factory=list)
-    scoring_fns: List[ScoringFnInput] = Field(default_factory=list)
     benchmarks: List[BenchmarkInput] = Field(default_factory=list)
     tool_groups: List[ToolGroupInput] = Field(default_factory=list)
 
diff --git a/llama_stack/distribution/distribution.py b/llama_stack/distribution/distribution.py
index ddb727663..43c37806e 100644
--- a/llama_stack/distribution/distribution.py
+++ b/llama_stack/distribution/distribution.py
@@ -40,23 +40,19 @@ def builtin_automatically_routed_apis() -> List[AutoRoutedApiInfo]:
             router_api=Api.datasetio,
         ),
         AutoRoutedApiInfo(
-            routing_table_api=Api.scoring_functions,
-            router_api=Api.scoring,
+            routing_table_api=Api.tool_groups,
+            router_api=Api.tool_runtime,
         ),
         AutoRoutedApiInfo(
             routing_table_api=Api.benchmarks,
-            router_api=Api.eval,
-        ),
-        AutoRoutedApiInfo(
-            routing_table_api=Api.tool_groups,
-            router_api=Api.tool_runtime,
+            router_api=Api.evaluation,
         ),
     ]
 
 
 def providable_apis() -> List[Api]:
     routing_table_apis = {x.routing_table_api for x in builtin_automatically_routed_apis()}
-    return [api for api in Api if api not in routing_table_apis and api != Api.inspect and api != Api.providers]
+    return [api for api in Api if api not in routing_table_apis and api not in [Api.inspect, Api.providers]]
 
 
 def get_provider_registry() -> Dict[Api, Dict[str, ProviderSpec]]:
diff --git a/llama_stack/distribution/resolver.py b/llama_stack/distribution/resolver.py
index e9e406699..3a6140478 100644
--- a/llama_stack/distribution/resolver.py
+++ b/llama_stack/distribution/resolver.py
@@ -11,15 +11,12 @@ from llama_stack.apis.agents import Agents
 from llama_stack.apis.benchmarks import Benchmarks
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Datasets
-from llama_stack.apis.eval import Eval
 from llama_stack.apis.inference import Inference
 from llama_stack.apis.inspect import Inspect
 from llama_stack.apis.models import Models
 from llama_stack.apis.post_training import PostTraining
 from llama_stack.apis.providers import Providers as ProvidersAPI
 from llama_stack.apis.safety import Safety
-from llama_stack.apis.scoring import Scoring
-from llama_stack.apis.scoring_functions import ScoringFunctions
 from llama_stack.apis.shields import Shields
 from llama_stack.apis.telemetry import Telemetry
 from llama_stack.apis.tools import ToolGroups, ToolRuntime
@@ -38,14 +35,12 @@ from llama_stack.distribution.utils.dynamic import instantiate_class_type
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import (
     Api,
-    BenchmarksProtocolPrivate,
     DatasetsProtocolPrivate,
     InlineProviderSpec,
     ModelsProtocolPrivate,
     ProviderSpec,
     RemoteProviderConfig,
     RemoteProviderSpec,
-    ScoringFunctionsProtocolPrivate,
     ShieldsProtocolPrivate,
     ToolsProtocolPrivate,
     VectorDBsProtocolPrivate,
@@ -72,9 +67,6 @@ def api_protocol_map() -> Dict[Api, Any]:
         Api.telemetry: Telemetry,
         Api.datasetio: DatasetIO,
         Api.datasets: Datasets,
-        Api.scoring: Scoring,
-        Api.scoring_functions: ScoringFunctions,
-        Api.eval: Eval,
         Api.benchmarks: Benchmarks,
         Api.post_training: PostTraining,
         Api.tool_groups: ToolGroups,
@@ -89,12 +81,6 @@ def additional_protocols_map() -> Dict[Api, Any]:
         Api.vector_io: (VectorDBsProtocolPrivate, VectorDBs, Api.vector_dbs),
         Api.safety: (ShieldsProtocolPrivate, Shields, Api.shields),
         Api.datasetio: (DatasetsProtocolPrivate, Datasets, Api.datasets),
-        Api.scoring: (
-            ScoringFunctionsProtocolPrivate,
-            ScoringFunctions,
-            Api.scoring_functions,
-        ),
-        Api.eval: (BenchmarksProtocolPrivate, Benchmarks, Api.benchmarks),
     }
 
 
@@ -135,7 +121,9 @@ async def resolve_impls(
     return await instantiate_providers(sorted_providers, router_apis, dist_registry)
 
 
-def specs_for_autorouted_apis(apis_to_serve: List[str] | Set[str]) -> Dict[str, Dict[str, ProviderWithSpec]]:
+def specs_for_autorouted_apis(
+    apis_to_serve: List[str] | Set[str],
+) -> Dict[str, Dict[str, ProviderWithSpec]]:
     """Generates specifications for automatically routed APIs."""
     specs = {}
     for info in builtin_automatically_routed_apis():
@@ -177,7 +165,10 @@ def specs_for_autorouted_apis(apis_to_serve: List[str] | Set[str]) -> Dict[str,
 
 
 def validate_and_prepare_providers(
-    run_config: StackRunConfig, provider_registry: ProviderRegistry, routing_table_apis: Set[Api], router_apis: Set[Api]
+    run_config: StackRunConfig,
+    provider_registry: ProviderRegistry,
+    routing_table_apis: Set[Api],
+    router_apis: Set[Api],
 ) -> Dict[str, Dict[str, ProviderWithSpec]]:
     """Validates providers, handles deprecations, and organizes them into a spec dictionary."""
     providers_with_specs: Dict[str, Dict[str, ProviderWithSpec]] = {}
@@ -221,7 +212,8 @@ def validate_provider(provider: Provider, api: Api, provider_registry: ProviderR
 
 
 def sort_providers_by_deps(
-    providers_with_specs: Dict[str, Dict[str, ProviderWithSpec]], run_config: StackRunConfig
+    providers_with_specs: Dict[str, Dict[str, ProviderWithSpec]],
+    run_config: StackRunConfig,
 ) -> List[Tuple[str, ProviderWithSpec]]:
     """Sorts providers based on their dependencies."""
     sorted_providers: List[Tuple[str, ProviderWithSpec]] = topological_sort(
@@ -276,7 +268,9 @@ def sort_providers_by_deps(
 
 
 async def instantiate_providers(
-    sorted_providers: List[Tuple[str, ProviderWithSpec]], router_apis: Set[Api], dist_registry: DistributionRegistry
+    sorted_providers: List[Tuple[str, ProviderWithSpec]],
+    router_apis: Set[Api],
+    dist_registry: DistributionRegistry,
 ) -> Dict:
     """Instantiates providers asynchronously while managing dependencies."""
     impls: Dict[Api, Any] = {}
diff --git a/llama_stack/distribution/routers/__init__.py b/llama_stack/distribution/routers/__init__.py
index d0fca8771..a9a4f87c8 100644
--- a/llama_stack/distribution/routers/__init__.py
+++ b/llama_stack/distribution/routers/__init__.py
@@ -14,7 +14,6 @@ from .routing_tables import (
     BenchmarksRoutingTable,
     DatasetsRoutingTable,
     ModelsRoutingTable,
-    ScoringFunctionsRoutingTable,
     ShieldsRoutingTable,
     ToolGroupsRoutingTable,
     VectorDBsRoutingTable,
@@ -32,7 +31,6 @@ async def get_routing_table_impl(
         "models": ModelsRoutingTable,
         "shields": ShieldsRoutingTable,
         "datasets": DatasetsRoutingTable,
-        "scoring_functions": ScoringFunctionsRoutingTable,
         "benchmarks": BenchmarksRoutingTable,
         "tool_groups": ToolGroupsRoutingTable,
     }
@@ -48,10 +46,8 @@ async def get_routing_table_impl(
 async def get_auto_router_impl(api: Api, routing_table: RoutingTable, deps: Dict[str, Any]) -> Any:
     from .routers import (
         DatasetIORouter,
-        EvalRouter,
         InferenceRouter,
         SafetyRouter,
-        ScoringRouter,
         ToolRuntimeRouter,
         VectorIORouter,
     )
@@ -61,8 +57,6 @@ async def get_auto_router_impl(api: Api, routing_table: RoutingTable, deps: Dict
         "inference": InferenceRouter,
         "safety": SafetyRouter,
         "datasetio": DatasetIORouter,
-        "scoring": ScoringRouter,
-        "eval": EvalRouter,
         "tool_runtime": ToolRuntimeRouter,
     }
     api_to_deps = {
diff --git a/llama_stack/distribution/routers/routers.py b/llama_stack/distribution/routers/routers.py
index 2cf38f544..6c77d09e8 100644
--- a/llama_stack/distribution/routers/routers.py
+++ b/llama_stack/distribution/routers/routers.py
@@ -14,13 +14,6 @@ from llama_stack.apis.common.content_types import (
 )
 from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse
 from llama_stack.apis.datasets import DatasetPurpose, DataSource
-from llama_stack.apis.eval import (
-    BenchmarkConfig,
-    Eval,
-    EvaluateResponse,
-    Job,
-    JobStatus,
-)
 from llama_stack.apis.inference import (
     ChatCompletionResponse,
     ChatCompletionResponseEventType,
@@ -42,12 +35,6 @@ from llama_stack.apis.inference import (
 )
 from llama_stack.apis.models import Model, ModelType
 from llama_stack.apis.safety import RunShieldResponse, Safety
-from llama_stack.apis.scoring import (
-    ScoreBatchResponse,
-    ScoreResponse,
-    Scoring,
-    ScoringFnParams,
-)
 from llama_stack.apis.shields import Shield
 from llama_stack.apis.telemetry import MetricEvent, MetricInResponse, Telemetry
 from llama_stack.apis.tools import (
@@ -521,135 +508,6 @@ class DatasetIORouter(DatasetIO):
         )
 
 
-class ScoringRouter(Scoring):
-    def __init__(
-        self,
-        routing_table: RoutingTable,
-    ) -> None:
-        logger.debug("Initializing ScoringRouter")
-        self.routing_table = routing_table
-
-    async def initialize(self) -> None:
-        logger.debug("ScoringRouter.initialize")
-        pass
-
-    async def shutdown(self) -> None:
-        logger.debug("ScoringRouter.shutdown")
-        pass
-
-    async def score_batch(
-        self,
-        dataset_id: str,
-        scoring_functions: Dict[str, Optional[ScoringFnParams]] = None,
-        save_results_dataset: bool = False,
-    ) -> ScoreBatchResponse:
-        logger.debug(f"ScoringRouter.score_batch: {dataset_id}")
-        res = {}
-        for fn_identifier in scoring_functions.keys():
-            score_response = await self.routing_table.get_provider_impl(fn_identifier).score_batch(
-                dataset_id=dataset_id,
-                scoring_functions={fn_identifier: scoring_functions[fn_identifier]},
-            )
-            res.update(score_response.results)
-
-        if save_results_dataset:
-            raise NotImplementedError("Save results dataset not implemented yet")
-
-        return ScoreBatchResponse(
-            results=res,
-        )
-
-    async def score(
-        self,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: Dict[str, Optional[ScoringFnParams]] = None,
-    ) -> ScoreResponse:
-        logger.debug(f"ScoringRouter.score: {len(input_rows)} rows, {len(scoring_functions)} functions")
-        res = {}
-        # look up and map each scoring function to its provider impl
-        for fn_identifier in scoring_functions.keys():
-            score_response = await self.routing_table.get_provider_impl(fn_identifier).score(
-                input_rows=input_rows,
-                scoring_functions={fn_identifier: scoring_functions[fn_identifier]},
-            )
-            res.update(score_response.results)
-
-        return ScoreResponse(results=res)
-
-
-class EvalRouter(Eval):
-    def __init__(
-        self,
-        routing_table: RoutingTable,
-    ) -> None:
-        logger.debug("Initializing EvalRouter")
-        self.routing_table = routing_table
-
-    async def initialize(self) -> None:
-        logger.debug("EvalRouter.initialize")
-        pass
-
-    async def shutdown(self) -> None:
-        logger.debug("EvalRouter.shutdown")
-        pass
-
-    async def run_eval(
-        self,
-        benchmark_id: str,
-        benchmark_config: BenchmarkConfig,
-    ) -> Job:
-        logger.debug(f"EvalRouter.run_eval: {benchmark_id}")
-        return await self.routing_table.get_provider_impl(benchmark_id).run_eval(
-            benchmark_id=benchmark_id,
-            benchmark_config=benchmark_config,
-        )
-
-    async def evaluate_rows(
-        self,
-        benchmark_id: str,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: List[str],
-        benchmark_config: BenchmarkConfig,
-    ) -> EvaluateResponse:
-        logger.debug(f"EvalRouter.evaluate_rows: {benchmark_id}, {len(input_rows)} rows")
-        return await self.routing_table.get_provider_impl(benchmark_id).evaluate_rows(
-            benchmark_id=benchmark_id,
-            input_rows=input_rows,
-            scoring_functions=scoring_functions,
-            benchmark_config=benchmark_config,
-        )
-
-    async def job_status(
-        self,
-        benchmark_id: str,
-        job_id: str,
-    ) -> Optional[JobStatus]:
-        logger.debug(f"EvalRouter.job_status: {benchmark_id}, {job_id}")
-        return await self.routing_table.get_provider_impl(benchmark_id).job_status(benchmark_id, job_id)
-
-    async def job_cancel(
-        self,
-        benchmark_id: str,
-        job_id: str,
-    ) -> None:
-        logger.debug(f"EvalRouter.job_cancel: {benchmark_id}, {job_id}")
-        await self.routing_table.get_provider_impl(benchmark_id).job_cancel(
-            benchmark_id,
-            job_id,
-        )
-
-    async def job_result(
-        self,
-        benchmark_id: str,
-        job_id: str,
-    ) -> EvaluateResponse:
-        logger.debug(f"EvalRouter.job_result: {benchmark_id}, {job_id}")
-        return await self.routing_table.get_provider_impl(benchmark_id).job_result(
-            benchmark_id,
-            job_id,
-        )
-
-
 class ToolRuntimeRouter(ToolRuntime):
     class RagToolImpl(RAGToolRuntime):
         def __init__(
diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py
index 3e44d2926..55c4ed85f 100644
--- a/llama_stack/distribution/routers/routing_tables.py
+++ b/llama_stack/distribution/routers/routing_tables.py
@@ -12,7 +12,6 @@ from pydantic import TypeAdapter
 
 from llama_stack.apis.benchmarks import Benchmark, Benchmarks, ListBenchmarksResponse
 from llama_stack.apis.common.content_types import URL
-from llama_stack.apis.common.type_system import ParamType
 from llama_stack.apis.datasets import (
     Dataset,
     DatasetPurpose,
@@ -23,12 +22,6 @@ from llama_stack.apis.datasets import (
 )
 from llama_stack.apis.models import ListModelsResponse, Model, Models, ModelType
 from llama_stack.apis.resource import ResourceType
-from llama_stack.apis.scoring_functions import (
-    ListScoringFunctionsResponse,
-    ScoringFn,
-    ScoringFnParams,
-    ScoringFunctions,
-)
 from llama_stack.apis.shields import ListShieldsResponse, Shield, Shields
 from llama_stack.apis.tools import (
     ListToolGroupsResponse,
@@ -68,10 +61,6 @@ async def register_object_with_provider(obj: RoutableObject, p: Any) -> Routable
         return await p.register_vector_db(obj)
     elif api == Api.datasetio:
         return await p.register_dataset(obj)
-    elif api == Api.scoring:
-        return await p.register_scoring_function(obj)
-    elif api == Api.eval:
-        return await p.register_benchmark(obj)
     elif api == Api.tool_runtime:
         return await p.register_tool(obj)
     else:
@@ -117,7 +106,7 @@ class CommonRoutingTableImpl(RoutingTable):
                 await self.dist_registry.register(obj)
 
         # Register all objects from providers
-        for pid, p in self.impls_by_provider_id.items():
+        for _pid, p in self.impls_by_provider_id.items():
             api = get_impl_api(p)
             if api == Api.inference:
                 p.model_store = self
@@ -127,12 +116,6 @@ class CommonRoutingTableImpl(RoutingTable):
                 p.vector_db_store = self
             elif api == Api.datasetio:
                 p.dataset_store = self
-            elif api == Api.scoring:
-                p.scoring_function_store = self
-                scoring_functions = await p.list_scoring_functions()
-                await add_objects(scoring_functions, pid, ScoringFn)
-            elif api == Api.eval:
-                p.benchmark_store = self
             elif api == Api.tool_runtime:
                 p.tool_store = self
 
@@ -150,8 +133,6 @@ class CommonRoutingTableImpl(RoutingTable):
                 return ("VectorIO", "vector_db")
             elif isinstance(self, DatasetsRoutingTable):
                 return ("DatasetIO", "dataset")
-            elif isinstance(self, ScoringFunctionsRoutingTable):
-                return ("Scoring", "scoring_function")
             elif isinstance(self, BenchmarksRoutingTable):
                 return ("Eval", "benchmark")
             elif isinstance(self, ToolGroupsRoutingTable):
@@ -416,46 +397,6 @@ class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):
         await self.unregister_object(dataset)
 
 
-class ScoringFunctionsRoutingTable(CommonRoutingTableImpl, ScoringFunctions):
-    async def list_scoring_functions(self) -> ListScoringFunctionsResponse:
-        return ListScoringFunctionsResponse(data=await self.get_all_with_type(ResourceType.scoring_function.value))
-
-    async def get_scoring_function(self, scoring_fn_id: str) -> ScoringFn:
-        scoring_fn = await self.get_object_by_identifier("scoring_function", scoring_fn_id)
-        if scoring_fn is None:
-            raise ValueError(f"Scoring function '{scoring_fn_id}' not found")
-        return scoring_fn
-
-    async def register_scoring_function(
-        self,
-        scoring_fn_id: str,
-        description: str,
-        return_type: ParamType,
-        provider_scoring_fn_id: Optional[str] = None,
-        provider_id: Optional[str] = None,
-        params: Optional[ScoringFnParams] = None,
-    ) -> None:
-        if provider_scoring_fn_id is None:
-            provider_scoring_fn_id = scoring_fn_id
-        if provider_id is None:
-            if len(self.impls_by_provider_id) == 1:
-                provider_id = list(self.impls_by_provider_id.keys())[0]
-            else:
-                raise ValueError(
-                    "No provider specified and multiple providers available. Please specify a provider_id."
-                )
-        scoring_fn = ScoringFn(
-            identifier=scoring_fn_id,
-            description=description,
-            return_type=return_type,
-            provider_resource_id=provider_scoring_fn_id,
-            provider_id=provider_id,
-            params=params,
-        )
-        scoring_fn.provider_id = provider_id
-        await self.register_object(scoring_fn)
-
-
 class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):
     async def list_benchmarks(self) -> ListBenchmarksResponse:
         return ListBenchmarksResponse(data=await self.get_all_with_type("benchmark"))
diff --git a/llama_stack/distribution/stack.py b/llama_stack/distribution/stack.py
index ccd75f6f6..90f55fc87 100644
--- a/llama_stack/distribution/stack.py
+++ b/llama_stack/distribution/stack.py
@@ -17,7 +17,6 @@ from llama_stack.apis.batch_inference import BatchInference
 from llama_stack.apis.benchmarks import Benchmarks
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Datasets
-from llama_stack.apis.eval import Eval
 from llama_stack.apis.evaluation import Evaluation
 from llama_stack.apis.files import Files
 from llama_stack.apis.graders import Graders
@@ -27,8 +26,6 @@ from llama_stack.apis.models import Models
 from llama_stack.apis.post_training import PostTraining
 from llama_stack.apis.providers import Providers
 from llama_stack.apis.safety import Safety
-from llama_stack.apis.scoring import Scoring
-from llama_stack.apis.scoring_functions import ScoringFunctions
 from llama_stack.apis.shields import Shields
 from llama_stack.apis.synthetic_data_generation import SyntheticDataGeneration
 from llama_stack.apis.telemetry import Telemetry
@@ -69,9 +66,6 @@ class LlamaStack(
     Files,
     Graders,
     Evaluation,
-    Eval,
-    ScoringFunctions,
-    Scoring,
 ):
     pass
 
@@ -81,12 +75,6 @@ RESOURCES = [
     ("shields", Api.shields, "register_shield", "list_shields"),
     ("vector_dbs", Api.vector_dbs, "register_vector_db", "list_vector_dbs"),
     ("datasets", Api.datasets, "register_dataset", "list_datasets"),
-    (
-        "scoring_fns",
-        Api.scoring_functions,
-        "register_scoring_function",
-        "list_scoring_functions",
-    ),
     ("benchmarks", Api.benchmarks, "register_benchmark", "list_benchmarks"),
     ("tool_groups", Api.tool_groups, "register_tool_group", "list_tool_groups"),
 ]
diff --git a/llama_stack/distribution/ui/modules/api.py b/llama_stack/distribution/ui/modules/api.py
index 40caccda0..1746a8a4f 100644
--- a/llama_stack/distribution/ui/modules/api.py
+++ b/llama_stack/distribution/ui/modules/api.py
@@ -26,7 +26,10 @@ class LlamaStackApi:
         """Run scoring on a single row"""
         if not scoring_params:
             scoring_params = {fn_id: None for fn_id in scoring_function_ids}
-        return self.client.scoring.score(input_rows=[row], scoring_functions=scoring_params)
+
+        # TODO(xiyan): fix this
+        # return self.client.scoring.score(input_rows=[row], scoring_functions=scoring_params)
+        raise NotImplementedError("Scoring is not implemented")
 
 
 llama_stack_api = LlamaStackApi()
diff --git a/llama_stack/distribution/ui/page/distribution/resources.py b/llama_stack/distribution/ui/page/distribution/resources.py
index 5e10e6e80..28f35fbd0 100644
--- a/llama_stack/distribution/ui/page/distribution/resources.py
+++ b/llama_stack/distribution/ui/page/distribution/resources.py
@@ -9,7 +9,6 @@ from streamlit_option_menu import option_menu
 from llama_stack.distribution.ui.page.distribution.datasets import datasets
 from llama_stack.distribution.ui.page.distribution.eval_tasks import benchmarks
 from llama_stack.distribution.ui.page.distribution.models import models
-from llama_stack.distribution.ui.page.distribution.scoring_functions import scoring_functions
 from llama_stack.distribution.ui.page.distribution.shields import shields
 from llama_stack.distribution.ui.page.distribution.vector_dbs import vector_dbs
 
@@ -43,8 +42,9 @@ def resources_page():
         datasets()
     elif selected_resource == "Models":
         models()
-    elif selected_resource == "Scoring Functions":
-        scoring_functions()
+    # TODO(xiyan): fix this
+    # elif selected_resource == "Scoring Functions":
+    #     scoring_functions()
     elif selected_resource == "Shields":
         shields()
 
diff --git a/llama_stack/providers/datatypes.py b/llama_stack/providers/datatypes.py
index 384582423..76873d188 100644
--- a/llama_stack/providers/datatypes.py
+++ b/llama_stack/providers/datatypes.py
@@ -13,7 +13,6 @@ from llama_stack.apis.benchmarks import Benchmark
 from llama_stack.apis.datasets import Dataset
 from llama_stack.apis.datatypes import Api
 from llama_stack.apis.models import Model
-from llama_stack.apis.scoring_functions import ScoringFn
 from llama_stack.apis.shields import Shield
 from llama_stack.apis.tools import Tool
 from llama_stack.apis.vector_dbs import VectorDB
@@ -42,12 +41,6 @@ class DatasetsProtocolPrivate(Protocol):
     async def unregister_dataset(self, dataset_id: str) -> None: ...
 
 
-class ScoringFunctionsProtocolPrivate(Protocol):
-    async def list_scoring_functions(self) -> List[ScoringFn]: ...
-
-    async def register_scoring_function(self, scoring_fn: ScoringFn) -> None: ...
-
-
 class BenchmarksProtocolPrivate(Protocol):
     async def register_benchmark(self, benchmark: Benchmark) -> None: ...
 
diff --git a/llama_stack/providers/inline/eval/meta_reference/__init__.py b/llama_stack/providers/inline/eval/meta_reference/__init__.py
index e2a7fc2cd..576a5682b 100644
--- a/llama_stack/providers/inline/eval/meta_reference/__init__.py
+++ b/llama_stack/providers/inline/eval/meta_reference/__init__.py
@@ -20,7 +20,6 @@ async def get_provider_impl(
         config,
         deps[Api.datasetio],
         deps[Api.datasets],
-        deps[Api.scoring],
         deps[Api.inference],
         deps[Api.agents],
     )
diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py
index 3630d4c03..64a4c0946 100644
--- a/llama_stack/providers/inline/eval/meta_reference/eval.py
+++ b/llama_stack/providers/inline/eval/meta_reference/eval.py
@@ -13,7 +13,6 @@ from llama_stack.apis.benchmarks import Benchmark
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Datasets
 from llama_stack.apis.inference import Inference, SystemMessage, UserMessage
-from llama_stack.apis.scoring import Scoring
 from llama_stack.providers.datatypes import BenchmarksProtocolPrivate
 from llama_stack.providers.inline.agents.meta_reference.agent_instance import (
     MEMORY_QUERY_TOOL,
@@ -37,14 +36,14 @@ class MetaReferenceEvalImpl(
         config: MetaReferenceEvalConfig,
         datasetio_api: DatasetIO,
         datasets_api: Datasets,
-        scoring_api: Scoring,
         inference_api: Inference,
         agents_api: Agents,
     ) -> None:
         self.config = config
         self.datasetio_api = datasetio_api
         self.datasets_api = datasets_api
-        self.scoring_api = scoring_api
+        # TODO(xiyan): this implementation will be refactored
+        self.scoring_api = None
         self.inference_api = inference_api
         self.agents_api = agents_api
 
diff --git a/llama_stack/providers/inline/evaluation/meta_reference/__init__.py b/llama_stack/providers/inline/evaluation/meta_reference/__init__.py
new file mode 100644
index 000000000..bf5f5a6fa
--- /dev/null
+++ b/llama_stack/providers/inline/evaluation/meta_reference/__init__.py
@@ -0,0 +1,27 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+from typing import Any, Dict
+
+from llama_stack.distribution.datatypes import Api
+
+from .config import MetaReferenceEvaluationConfig
+
+
+async def get_provider_impl(
+    config: MetaReferenceEvaluationConfig,
+    deps: Dict[Api, Any],
+):
+    from .evaluation import MetaReferenceEvaluationImpl
+
+    impl = MetaReferenceEvaluationImpl(
+        config,
+        deps[Api.datasetio],
+        deps[Api.datasets],
+        deps[Api.inference],
+        deps[Api.agents],
+    )
+    await impl.initialize()
+    return impl
diff --git a/llama_stack/providers/inline/evaluation/meta_reference/config.py b/llama_stack/providers/inline/evaluation/meta_reference/config.py
new file mode 100644
index 000000000..653e3b5c7
--- /dev/null
+++ b/llama_stack/providers/inline/evaluation/meta_reference/config.py
@@ -0,0 +1,26 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+from typing import Any, Dict
+
+from pydantic import BaseModel
+
+from llama_stack.providers.utils.kvstore.config import (
+    KVStoreConfig,
+    SqliteKVStoreConfig,
+)
+
+
+class MetaReferenceEvaluationConfig(BaseModel):
+    kvstore: KVStoreConfig
+
+    @classmethod
+    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
+        return {
+            "kvstore": SqliteKVStoreConfig.sample_run_config(
+                __distro_dir__=__distro_dir__,
+                db_name="meta_reference_evaluation.db",
+            )
+        }
diff --git a/llama_stack/providers/inline/evaluation/meta_reference/evaluation.py b/llama_stack/providers/inline/evaluation/meta_reference/evaluation.py
new file mode 100644
index 000000000..f1be056a9
--- /dev/null
+++ b/llama_stack/providers/inline/evaluation/meta_reference/evaluation.py
@@ -0,0 +1,71 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from llama_stack.apis.agents import Agents
+from llama_stack.apis.datasetio import DatasetIO
+from llama_stack.apis.datasets import Datasets
+from llama_stack.apis.inference import Inference
+from llama_stack.providers.datatypes import BenchmarksProtocolPrivate
+
+from .....apis.benchmarks import Benchmark
+from .....apis.evaluation.evaluation import (
+    Evaluation,
+    EvaluationCandidate,
+    EvaluationJob,
+    EvaluationResponse,
+    EvaluationTask,
+)
+from .config import MetaReferenceEvaluationConfig
+
+EVAL_TASKS_PREFIX = "benchmarks:"
+
+
+class MetaReferenceEvaluationImpl(
+    Evaluation,
+    BenchmarksProtocolPrivate,
+):
+    def __init__(
+        self,
+        config: MetaReferenceEvaluationConfig,
+        datasetio_api: DatasetIO,
+        datasets_api: Datasets,
+        inference_api: Inference,
+        agents_api: Agents,
+    ) -> None:
+        self.config = config
+        self.datasetio_api = datasetio_api
+        self.datasets_api = datasets_api
+        self.inference_api = inference_api
+        self.agents_api = agents_api
+
+    async def initialize(self) -> None:
+        pass
+
+    async def shutdown(self) -> None:
+        pass
+
+    async def register_benchmark(self, benchmark: Benchmark) -> None:
+        pass
+
+    async def run(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationJob:
+        raise NotImplementedError("Run is not implemented yet")
+
+    async def run_sync(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationResponse:
+        raise NotImplementedError("Run sync is not implemented yet")
+
+    async def grade(self, task: EvaluationTask) -> EvaluationJob:
+        raise NotImplementedError("Grade is not implemented yet")
+
+    async def grade_sync(self, task: EvaluationTask) -> EvaluationResponse:
+        raise NotImplementedError("Grade sync is not implemented yet")
diff --git a/llama_stack/providers/registry/eval.py b/llama_stack/providers/registry/eval.py
deleted file mode 100644
index 755d30382..000000000
--- a/llama_stack/providers/registry/eval.py
+++ /dev/null
@@ -1,28 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import List
-
-from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec
-
-
-def available_providers() -> List[ProviderSpec]:
-    return [
-        InlineProviderSpec(
-            api=Api.eval,
-            provider_type="inline::meta-reference",
-            pip_packages=["tree_sitter"],
-            module="llama_stack.providers.inline.eval.meta_reference",
-            config_class="llama_stack.providers.inline.eval.meta_reference.MetaReferenceEvalConfig",
-            api_dependencies=[
-                Api.datasetio,
-                Api.datasets,
-                Api.scoring,
-                Api.inference,
-                Api.agents,
-            ],
-        ),
-    ]
diff --git a/llama_stack/providers/registry/evaluation.py b/llama_stack/providers/registry/evaluation.py
new file mode 100644
index 000000000..2481cea5a
--- /dev/null
+++ b/llama_stack/providers/registry/evaluation.py
@@ -0,0 +1,36 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from typing import List
+
+from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec
+from llama_stack.providers.utils.kvstore import kvstore_dependencies
+
+
+def available_providers() -> List[ProviderSpec]:
+    return [
+        InlineProviderSpec(
+            api=Api.evaluation,
+            provider_type="inline::meta-reference",
+            pip_packages=[
+                "matplotlib",
+                "pillow",
+                "pandas",
+                "scikit-learn",
+            ]
+            + kvstore_dependencies(),
+            module="llama_stack.providers.inline.evaluation.meta_reference",
+            config_class="llama_stack.providers.inline.evaluation.meta_reference.MetaReferenceEvaluationImplConfig",
+            api_dependencies=[
+                Api.inference,
+                Api.safety,
+                Api.vector_io,
+                Api.vector_dbs,
+                Api.tool_runtime,
+                Api.tool_groups,
+            ],
+        ),
+    ]
diff --git a/llama_stack/providers/registry/scoring.py b/llama_stack/providers/registry/scoring.py
deleted file mode 100644
index ca09be984..000000000
--- a/llama_stack/providers/registry/scoring.py
+++ /dev/null
@@ -1,49 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import List
-
-from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec
-
-
-def available_providers() -> List[ProviderSpec]:
-    return [
-        InlineProviderSpec(
-            api=Api.scoring,
-            provider_type="inline::basic",
-            pip_packages=[],
-            module="llama_stack.providers.inline.scoring.basic",
-            config_class="llama_stack.providers.inline.scoring.basic.BasicScoringConfig",
-            api_dependencies=[
-                Api.datasetio,
-                Api.datasets,
-            ],
-        ),
-        InlineProviderSpec(
-            api=Api.scoring,
-            provider_type="inline::llm-as-judge",
-            pip_packages=[],
-            module="llama_stack.providers.inline.scoring.llm_as_judge",
-            config_class="llama_stack.providers.inline.scoring.llm_as_judge.LlmAsJudgeScoringConfig",
-            api_dependencies=[
-                Api.datasetio,
-                Api.datasets,
-                Api.inference,
-            ],
-        ),
-        InlineProviderSpec(
-            api=Api.scoring,
-            provider_type="inline::braintrust",
-            pip_packages=["autoevals", "openai"],
-            module="llama_stack.providers.inline.scoring.braintrust",
-            config_class="llama_stack.providers.inline.scoring.braintrust.BraintrustScoringConfig",
-            api_dependencies=[
-                Api.datasetio,
-                Api.datasets,
-            ],
-            provider_data_validator="llama_stack.providers.inline.scoring.braintrust.BraintrustProviderDataValidator",
-        ),
-    ]
diff --git a/llama_stack/providers/utils/common/data_schema_validator.py b/llama_stack/providers/utils/common/data_schema_validator.py
index eb9d9dd60..95663a4e9 100644
--- a/llama_stack/providers/utils/common/data_schema_validator.py
+++ b/llama_stack/providers/utils/common/data_schema_validator.py
@@ -5,14 +5,12 @@
 # the root directory of this source tree.
 
 from enum import Enum
-from typing import Any, Dict, List
 
 from llama_stack.apis.common.type_system import (
     ChatCompletionInputType,
     CompletionInputType,
     StringType,
 )
-from llama_stack.distribution.datatypes import Api
 
 
 class ColumnName(Enum):
@@ -75,29 +73,31 @@ VALID_SCHEMAS_FOR_EVAL = [
 ]
 
 
-def get_valid_schemas(api_str: str):
-    if api_str == Api.scoring.value:
-        return VALID_SCHEMAS_FOR_SCORING
-    elif api_str == Api.eval.value:
-        return VALID_SCHEMAS_FOR_EVAL
-    else:
-        raise ValueError(f"Invalid API string: {api_str}")
+# TODO(xiyan): add this back
+
+# def get_valid_schemas(api_str: str):
+#     if api_str == Api.scoring.value:
+#         return VALID_SCHEMAS_FOR_SCORING
+#     elif api_str == Api.eval.value:
+#         return VALID_SCHEMAS_FOR_EVAL
+#     else:
+#         raise ValueError(f"Invalid API string: {api_str}")
 
 
-def validate_dataset_schema(
-    dataset_schema: Dict[str, Any],
-    expected_schemas: List[Dict[str, Any]],
-):
-    if dataset_schema not in expected_schemas:
-        raise ValueError(f"Dataset {dataset_schema} does not have a correct input schema in {expected_schemas}")
+# def validate_dataset_schema(
+#     dataset_schema: Dict[str, Any],
+#     expected_schemas: List[Dict[str, Any]],
+# ):
+#     if dataset_schema not in expected_schemas:
+#         raise ValueError(f"Dataset {dataset_schema} does not have a correct input schema in {expected_schemas}")
 
 
-def validate_row_schema(
-    input_row: Dict[str, Any],
-    expected_schemas: List[Dict[str, Any]],
-):
-    for schema in expected_schemas:
-        if all(key in input_row for key in schema):
-            return
+# def validate_row_schema(
+#     input_row: Dict[str, Any],
+#     expected_schemas: List[Dict[str, Any]],
+# ):
+#     for schema in expected_schemas:
+#         if all(key in input_row for key in schema):
+#             return
 
-    raise ValueError(f"Input row {input_row} does not match any of the expected schemas in {expected_schemas}")
+#     raise ValueError(f"Input row {input_row} does not match any of the expected schemas in {expected_schemas}")
diff --git a/llama_stack/templates/bedrock/bedrock.py b/llama_stack/templates/bedrock/bedrock.py
index 9171ae18a..5a30e7189 100644
--- a/llama_stack/templates/bedrock/bedrock.py
+++ b/llama_stack/templates/bedrock/bedrock.py
@@ -9,7 +9,11 @@ from pathlib import Path
 from llama_stack.distribution.datatypes import Provider, ToolGroupInput
 from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
 from llama_stack.providers.remote.inference.bedrock.models import MODEL_ENTRIES
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -19,9 +23,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["remote::bedrock"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/bedrock/build.yaml b/llama_stack/templates/bedrock/build.yaml
index 6c07b0478..209cd8e34 100644
--- a/llama_stack/templates/bedrock/build.yaml
+++ b/llama_stack/templates/bedrock/build.yaml
@@ -14,15 +14,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/bedrock/run.yaml b/llama_stack/templates/bedrock/run.yaml
index 39ed8cf48..ae6357345 100644
--- a/llama_stack/templates/bedrock/run.yaml
+++ b/llama_stack/templates/bedrock/run.yaml
@@ -3,10 +3,8 @@ image_name: bedrock
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -42,14 +40,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/bedrock/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/bedrock}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -65,17 +55,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/bedrock}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -133,7 +112,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/cerebras/build.yaml b/llama_stack/templates/cerebras/build.yaml
index ef6c43212..5fe4a6bf0 100644
--- a/llama_stack/templates/cerebras/build.yaml
+++ b/llama_stack/templates/cerebras/build.yaml
@@ -13,15 +13,9 @@ distribution_spec:
     - remote::pgvector
     agents:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     telemetry:
     - inline::meta-reference
     tool_runtime:
diff --git a/llama_stack/templates/cerebras/cerebras.py b/llama_stack/templates/cerebras/cerebras.py
index 4a9ad90b4..beacfc521 100644
--- a/llama_stack/templates/cerebras/cerebras.py
+++ b/llama_stack/templates/cerebras/cerebras.py
@@ -14,7 +14,11 @@ from llama_stack.providers.inline.inference.sentence_transformers import (
 from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
 from llama_stack.providers.remote.inference.cerebras import CerebrasImplConfig
 from llama_stack.providers.remote.inference.cerebras.models import MODEL_ENTRIES
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -23,9 +27,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
         "agents": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "telemetry": ["inline::meta-reference"],
         "tool_runtime": [
             "remote::brave-search",
diff --git a/llama_stack/templates/cerebras/run.yaml b/llama_stack/templates/cerebras/run.yaml
index 8315f75d5..fb3d7ec9b 100644
--- a/llama_stack/templates/cerebras/run.yaml
+++ b/llama_stack/templates/cerebras/run.yaml
@@ -3,10 +3,8 @@ image_name: cerebras
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -41,14 +39,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/cerebras}/agents_store.db
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/cerebras}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -64,17 +54,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/cerebras}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   telemetry:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
@@ -131,7 +110,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/ci-tests/build.yaml b/llama_stack/templates/ci-tests/build.yaml
index a5c615f2f..3c6ff6924 100644
--- a/llama_stack/templates/ci-tests/build.yaml
+++ b/llama_stack/templates/ci-tests/build.yaml
@@ -15,15 +15,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/ci-tests/ci_tests.py b/llama_stack/templates/ci-tests/ci_tests.py
index b204af5ea..efb9647f7 100644
--- a/llama_stack/templates/ci-tests/ci_tests.py
+++ b/llama_stack/templates/ci-tests/ci_tests.py
@@ -15,10 +15,16 @@ from llama_stack.distribution.datatypes import (
 from llama_stack.providers.inline.inference.sentence_transformers import (
     SentenceTransformersInferenceConfig,
 )
-from llama_stack.providers.inline.vector_io.sqlite_vec.config import SQLiteVectorIOConfig
+from llama_stack.providers.inline.vector_io.sqlite_vec.config import (
+    SQLiteVectorIOConfig,
+)
 from llama_stack.providers.remote.inference.fireworks.config import FireworksImplConfig
 from llama_stack.providers.remote.inference.fireworks.models import MODEL_ENTRIES
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -28,9 +34,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/ci-tests/run.yaml b/llama_stack/templates/ci-tests/run.yaml
index ae2b3912c..6b351ac9c 100644
--- a/llama_stack/templates/ci-tests/run.yaml
+++ b/llama_stack/templates/ci-tests/run.yaml
@@ -3,10 +3,8 @@ image_name: ci-tests
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -45,14 +43,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/ci-tests/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ci-tests}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -68,17 +58,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ci-tests}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -209,7 +188,6 @@ shields:
 - shield_id: meta-llama/Llama-Guard-3-8B
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/dell/build.yaml b/llama_stack/templates/dell/build.yaml
index 05b98d56f..12183da9e 100644
--- a/llama_stack/templates/dell/build.yaml
+++ b/llama_stack/templates/dell/build.yaml
@@ -16,15 +16,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/dell/dell.py b/llama_stack/templates/dell/dell.py
index 52c5a5476..161a611ae 100644
--- a/llama_stack/templates/dell/dell.py
+++ b/llama_stack/templates/dell/dell.py
@@ -24,9 +24,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/dell/run-with-safety.yaml b/llama_stack/templates/dell/run-with-safety.yaml
index 8a62a5a42..ff074659b 100644
--- a/llama_stack/templates/dell/run-with-safety.yaml
+++ b/llama_stack/templates/dell/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: dell
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/dell/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dell}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dell}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -120,7 +99,6 @@ shields:
 - shield_id: ${env.SAFETY_MODEL}
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/dell/run.yaml b/llama_stack/templates/dell/run.yaml
index 31c63bd83..762769349 100644
--- a/llama_stack/templates/dell/run.yaml
+++ b/llama_stack/templates/dell/run.yaml
@@ -3,10 +3,8 @@ image_name: dell
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -44,14 +42,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/dell/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dell}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -67,17 +57,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dell}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -111,7 +90,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/dev/build.yaml b/llama_stack/templates/dev/build.yaml
index 726ebccca..c98972dac 100644
--- a/llama_stack/templates/dev/build.yaml
+++ b/llama_stack/templates/dev/build.yaml
@@ -19,15 +19,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/dev/dev.py b/llama_stack/templates/dev/dev.py
index 1aee1bb22..36ab22188 100644
--- a/llama_stack/templates/dev/dev.py
+++ b/llama_stack/templates/dev/dev.py
@@ -16,20 +16,38 @@ from llama_stack.distribution.datatypes import (
 from llama_stack.providers.inline.inference.sentence_transformers import (
     SentenceTransformersInferenceConfig,
 )
-from llama_stack.providers.inline.vector_io.sqlite_vec.config import SQLiteVectorIOConfig
+from llama_stack.providers.inline.vector_io.sqlite_vec.config import (
+    SQLiteVectorIOConfig,
+)
 from llama_stack.providers.remote.inference.anthropic.config import AnthropicConfig
-from llama_stack.providers.remote.inference.anthropic.models import MODEL_ENTRIES as ANTHROPIC_MODEL_ENTRIES
+from llama_stack.providers.remote.inference.anthropic.models import (
+    MODEL_ENTRIES as ANTHROPIC_MODEL_ENTRIES,
+)
 from llama_stack.providers.remote.inference.fireworks.config import FireworksImplConfig
-from llama_stack.providers.remote.inference.fireworks.models import MODEL_ENTRIES as FIREWORKS_MODEL_ENTRIES
+from llama_stack.providers.remote.inference.fireworks.models import (
+    MODEL_ENTRIES as FIREWORKS_MODEL_ENTRIES,
+)
 from llama_stack.providers.remote.inference.gemini.config import GeminiConfig
-from llama_stack.providers.remote.inference.gemini.models import MODEL_ENTRIES as GEMINI_MODEL_ENTRIES
+from llama_stack.providers.remote.inference.gemini.models import (
+    MODEL_ENTRIES as GEMINI_MODEL_ENTRIES,
+)
 from llama_stack.providers.remote.inference.groq.config import GroqConfig
-from llama_stack.providers.remote.inference.groq.models import MODEL_ENTRIES as GROQ_MODEL_ENTRIES
+from llama_stack.providers.remote.inference.groq.models import (
+    MODEL_ENTRIES as GROQ_MODEL_ENTRIES,
+)
 from llama_stack.providers.remote.inference.openai.config import OpenAIConfig
-from llama_stack.providers.remote.inference.openai.models import MODEL_ENTRIES as OPENAI_MODEL_ENTRIES
+from llama_stack.providers.remote.inference.openai.models import (
+    MODEL_ENTRIES as OPENAI_MODEL_ENTRIES,
+)
 from llama_stack.providers.remote.vector_io.chroma.config import ChromaVectorIOConfig
-from llama_stack.providers.remote.vector_io.pgvector.config import PGVectorVectorIOConfig
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.providers.remote.vector_io.pgvector.config import (
+    PGVectorVectorIOConfig,
+)
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_inference_providers() -> Tuple[List[Provider], List[ModelInput]]:
@@ -83,9 +101,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/dev/run.yaml b/llama_stack/templates/dev/run.yaml
index dba13b357..dbffbf215 100644
--- a/llama_stack/templates/dev/run.yaml
+++ b/llama_stack/templates/dev/run.yaml
@@ -3,10 +3,8 @@ image_name: dev
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -74,14 +72,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/dev/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -97,17 +87,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dev}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -365,7 +344,6 @@ shields:
 - shield_id: meta-llama/Llama-Guard-3-8B
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/fireworks/build.yaml b/llama_stack/templates/fireworks/build.yaml
index 3907eba78..c5904a7e3 100644
--- a/llama_stack/templates/fireworks/build.yaml
+++ b/llama_stack/templates/fireworks/build.yaml
@@ -15,15 +15,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/fireworks/fireworks.py b/llama_stack/templates/fireworks/fireworks.py
index 3e6d1ca89..9b33ebc7b 100644
--- a/llama_stack/templates/fireworks/fireworks.py
+++ b/llama_stack/templates/fireworks/fireworks.py
@@ -19,7 +19,11 @@ from llama_stack.providers.inline.inference.sentence_transformers import (
 from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
 from llama_stack.providers.remote.inference.fireworks.config import FireworksImplConfig
 from llama_stack.providers.remote.inference.fireworks.models import MODEL_ENTRIES
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -29,9 +33,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/fireworks/run-with-safety.yaml b/llama_stack/templates/fireworks/run-with-safety.yaml
index 2d79a3548..b89323dbc 100644
--- a/llama_stack/templates/fireworks/run-with-safety.yaml
+++ b/llama_stack/templates/fireworks/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: fireworks
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -53,14 +51,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/fireworks/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/fireworks}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -76,17 +66,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/fireworks}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -226,7 +205,6 @@ shields:
   provider_id: code-scanner
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/fireworks/run.yaml b/llama_stack/templates/fireworks/run.yaml
index 285495ad9..38f3bb67f 100644
--- a/llama_stack/templates/fireworks/run.yaml
+++ b/llama_stack/templates/fireworks/run.yaml
@@ -3,10 +3,8 @@ image_name: fireworks
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/fireworks/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/fireworks}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/fireworks}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -216,7 +195,6 @@ shields:
 - shield_id: meta-llama/Llama-Guard-3-8B
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/groq/build.yaml b/llama_stack/templates/groq/build.yaml
index 3263ce83b..6a92d0b01 100644
--- a/llama_stack/templates/groq/build.yaml
+++ b/llama_stack/templates/groq/build.yaml
@@ -12,15 +12,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/groq/groq.py b/llama_stack/templates/groq/groq.py
index 71c504cde..b51cceb0e 100644
--- a/llama_stack/templates/groq/groq.py
+++ b/llama_stack/templates/groq/groq.py
@@ -7,17 +7,17 @@
 from pathlib import Path
 
 from llama_stack.apis.models.models import ModelType
-from llama_stack.distribution.datatypes import (
-    ModelInput,
-    Provider,
-    ToolGroupInput,
-)
+from llama_stack.distribution.datatypes import ModelInput, Provider, ToolGroupInput
 from llama_stack.providers.inline.inference.sentence_transformers import (
     SentenceTransformersInferenceConfig,
 )
 from llama_stack.providers.remote.inference.groq import GroqConfig
 from llama_stack.providers.remote.inference.groq.models import MODEL_ENTRIES
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -27,9 +27,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/groq/run.yaml b/llama_stack/templates/groq/run.yaml
index 6afea2355..441e2bda0 100644
--- a/llama_stack/templates/groq/run.yaml
+++ b/llama_stack/templates/groq/run.yaml
@@ -3,10 +3,8 @@ image_name: groq
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/groq/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/groq}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/groq}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -156,7 +135,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/hf-endpoint/build.yaml b/llama_stack/templates/hf-endpoint/build.yaml
index c2eaaa05b..0b6c072aa 100644
--- a/llama_stack/templates/hf-endpoint/build.yaml
+++ b/llama_stack/templates/hf-endpoint/build.yaml
@@ -14,15 +14,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/hf-endpoint/hf_endpoint.py b/llama_stack/templates/hf-endpoint/hf_endpoint.py
index 0dafe0a01..8fd31cb1d 100644
--- a/llama_stack/templates/hf-endpoint/hf_endpoint.py
+++ b/llama_stack/templates/hf-endpoint/hf_endpoint.py
@@ -26,9 +26,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/hf-endpoint/run-with-safety.yaml b/llama_stack/templates/hf-endpoint/run-with-safety.yaml
index f6f23a987..ce15f76f9 100644
--- a/llama_stack/templates/hf-endpoint/run-with-safety.yaml
+++ b/llama_stack/templates/hf-endpoint/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: hf-endpoint
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -53,14 +51,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/hf-endpoint/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-endpoint}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -76,17 +66,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-endpoint}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -128,7 +107,6 @@ shields:
 - shield_id: ${env.SAFETY_MODEL}
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/hf-endpoint/run.yaml b/llama_stack/templates/hf-endpoint/run.yaml
index 461f97128..5cd91e64a 100644
--- a/llama_stack/templates/hf-endpoint/run.yaml
+++ b/llama_stack/templates/hf-endpoint/run.yaml
@@ -3,10 +3,8 @@ image_name: hf-endpoint
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/hf-endpoint/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-endpoint}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-endpoint}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -118,7 +97,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/hf-serverless/build.yaml b/llama_stack/templates/hf-serverless/build.yaml
index c0cc1e2c2..2fff4a7d3 100644
--- a/llama_stack/templates/hf-serverless/build.yaml
+++ b/llama_stack/templates/hf-serverless/build.yaml
@@ -15,15 +15,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/hf-serverless/hf_serverless.py b/llama_stack/templates/hf-serverless/hf_serverless.py
index 25d4c6b30..e1537a681 100644
--- a/llama_stack/templates/hf-serverless/hf_serverless.py
+++ b/llama_stack/templates/hf-serverless/hf_serverless.py
@@ -26,9 +26,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/hf-serverless/run-with-safety.yaml b/llama_stack/templates/hf-serverless/run-with-safety.yaml
index 7f1724f34..c6bfa291b 100644
--- a/llama_stack/templates/hf-serverless/run-with-safety.yaml
+++ b/llama_stack/templates/hf-serverless/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: hf-serverless
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -53,14 +51,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/hf-serverless/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-serverless}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -76,17 +66,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-serverless}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -128,7 +107,6 @@ shields:
 - shield_id: ${env.SAFETY_MODEL}
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/hf-serverless/run.yaml b/llama_stack/templates/hf-serverless/run.yaml
index ac013488b..799c9845b 100644
--- a/llama_stack/templates/hf-serverless/run.yaml
+++ b/llama_stack/templates/hf-serverless/run.yaml
@@ -3,10 +3,8 @@ image_name: hf-serverless
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/hf-serverless/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-serverless}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/hf-serverless}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -118,7 +97,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/meta-reference-gpu/build.yaml b/llama_stack/templates/meta-reference-gpu/build.yaml
index b9130fc7d..0c8da8280 100644
--- a/llama_stack/templates/meta-reference-gpu/build.yaml
+++ b/llama_stack/templates/meta-reference-gpu/build.yaml
@@ -14,15 +14,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/meta-reference-gpu/meta_reference.py b/llama_stack/templates/meta-reference-gpu/meta_reference.py
index 6bb1fcb0a..12a5013cb 100644
--- a/llama_stack/templates/meta-reference-gpu/meta_reference.py
+++ b/llama_stack/templates/meta-reference-gpu/meta_reference.py
@@ -30,9 +30,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/meta-reference-gpu/run-with-safety.yaml b/llama_stack/templates/meta-reference-gpu/run-with-safety.yaml
index 190c08494..82744f307 100644
--- a/llama_stack/templates/meta-reference-gpu/run-with-safety.yaml
+++ b/llama_stack/templates/meta-reference-gpu/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: meta-reference-gpu
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -55,14 +53,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/meta-reference-gpu/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-gpu}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -78,17 +68,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-gpu}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -130,7 +109,6 @@ shields:
 - shield_id: ${env.SAFETY_MODEL}
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/meta-reference-gpu/run.yaml b/llama_stack/templates/meta-reference-gpu/run.yaml
index 07763a4df..1b710c37c 100644
--- a/llama_stack/templates/meta-reference-gpu/run.yaml
+++ b/llama_stack/templates/meta-reference-gpu/run.yaml
@@ -3,10 +3,8 @@ image_name: meta-reference-gpu
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -49,14 +47,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/meta-reference-gpu/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-gpu}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -72,17 +62,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-gpu}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -119,7 +98,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/meta-reference-quantized-gpu/build.yaml b/llama_stack/templates/meta-reference-quantized-gpu/build.yaml
index 7bbcfe5f2..a55d3ddb4 100644
--- a/llama_stack/templates/meta-reference-quantized-gpu/build.yaml
+++ b/llama_stack/templates/meta-reference-quantized-gpu/build.yaml
@@ -14,15 +14,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/meta-reference-quantized-gpu/meta_reference.py b/llama_stack/templates/meta-reference-quantized-gpu/meta_reference.py
index 5f207bfad..de16930e4 100644
--- a/llama_stack/templates/meta-reference-quantized-gpu/meta_reference.py
+++ b/llama_stack/templates/meta-reference-quantized-gpu/meta_reference.py
@@ -25,9 +25,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/meta-reference-quantized-gpu/run.yaml b/llama_stack/templates/meta-reference-quantized-gpu/run.yaml
index 51b9dc250..13e9177fd 100644
--- a/llama_stack/templates/meta-reference-quantized-gpu/run.yaml
+++ b/llama_stack/templates/meta-reference-quantized-gpu/run.yaml
@@ -3,10 +3,8 @@ image_name: meta-reference-quantized-gpu
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -51,14 +49,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/meta-reference-quantized-gpu/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-quantized-gpu}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -74,17 +64,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-quantized-gpu}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -121,7 +100,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/nvidia/build.yaml b/llama_stack/templates/nvidia/build.yaml
index 0c788ce86..848b6cd45 100644
--- a/llama_stack/templates/nvidia/build.yaml
+++ b/llama_stack/templates/nvidia/build.yaml
@@ -12,12 +12,8 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - inline::localfs
-    scoring:
-    - inline::basic
     tool_runtime:
     - inline::rag-runtime
 image_type: conda
diff --git a/llama_stack/templates/nvidia/nvidia.py b/llama_stack/templates/nvidia/nvidia.py
index 308c0e2a6..2cf8e98d4 100644
--- a/llama_stack/templates/nvidia/nvidia.py
+++ b/llama_stack/templates/nvidia/nvidia.py
@@ -6,11 +6,20 @@
 
 from pathlib import Path
 
-from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput, ToolGroupInput
+from llama_stack.distribution.datatypes import (
+    ModelInput,
+    Provider,
+    ShieldInput,
+    ToolGroupInput,
+)
 from llama_stack.providers.remote.inference.nvidia import NVIDIAConfig
 from llama_stack.providers.remote.inference.nvidia.models import MODEL_ENTRIES
 from llama_stack.providers.remote.safety.nvidia import NVIDIASafetyConfig
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -20,9 +29,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["remote::nvidia"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["inline::localfs"],
-        "scoring": ["inline::basic"],
         "tool_runtime": ["inline::rag-runtime"],
     }
 
diff --git a/llama_stack/templates/nvidia/run-with-safety.yaml b/llama_stack/templates/nvidia/run-with-safety.yaml
index 04da1bcda..a1f6fb5f8 100644
--- a/llama_stack/templates/nvidia/run-with-safety.yaml
+++ b/llama_stack/templates/nvidia/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: nvidia
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -51,14 +49,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/nvidia/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/meta_reference_eval.db
   datasetio:
   - provider_id: localfs
     provider_type: inline::localfs
@@ -67,10 +57,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
   tool_runtime:
   - provider_id: rag-runtime
     provider_type: inline::rag-runtime
@@ -92,7 +78,6 @@ shields:
   provider_id: nvidia
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::rag
diff --git a/llama_stack/templates/nvidia/run.yaml b/llama_stack/templates/nvidia/run.yaml
index 3abdd82a7..4279eda08 100644
--- a/llama_stack/templates/nvidia/run.yaml
+++ b/llama_stack/templates/nvidia/run.yaml
@@ -3,10 +3,8 @@ image_name: nvidia
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -46,14 +44,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/nvidia/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/meta_reference_eval.db
   datasetio:
   - provider_id: localfs
     provider_type: inline::localfs
@@ -62,10 +52,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
   tool_runtime:
   - provider_id: rag-runtime
     provider_type: inline::rag-runtime
@@ -195,7 +181,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::rag
diff --git a/llama_stack/templates/ollama/build.yaml b/llama_stack/templates/ollama/build.yaml
index 37b72fc1f..d5a195d5f 100644
--- a/llama_stack/templates/ollama/build.yaml
+++ b/llama_stack/templates/ollama/build.yaml
@@ -14,15 +14,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/ollama/ollama.py b/llama_stack/templates/ollama/ollama.py
index 2d753d3e4..a679607fa 100644
--- a/llama_stack/templates/ollama/ollama.py
+++ b/llama_stack/templates/ollama/ollama.py
@@ -25,9 +25,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/ollama/run-with-safety.yaml b/llama_stack/templates/ollama/run-with-safety.yaml
index 2b8eb44db..0b9e94faa 100644
--- a/llama_stack/templates/ollama/run-with-safety.yaml
+++ b/llama_stack/templates/ollama/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: ollama
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -46,14 +44,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/ollama/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ollama}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -69,17 +59,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ollama}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -129,7 +108,6 @@ shields:
   provider_id: code-scanner
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/ollama/run.yaml b/llama_stack/templates/ollama/run.yaml
index c9531f417..1451ba96f 100644
--- a/llama_stack/templates/ollama/run.yaml
+++ b/llama_stack/templates/ollama/run.yaml
@@ -3,10 +3,8 @@ image_name: ollama
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -44,14 +42,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/ollama/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ollama}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -67,17 +57,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ollama}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -119,7 +98,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/open-benchmark/build.yaml b/llama_stack/templates/open-benchmark/build.yaml
index 1db90ef27..b39a17820 100644
--- a/llama_stack/templates/open-benchmark/build.yaml
+++ b/llama_stack/templates/open-benchmark/build.yaml
@@ -18,15 +18,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/open-benchmark/open_benchmark.py b/llama_stack/templates/open-benchmark/open_benchmark.py
index 03e524dae..ff5601467 100644
--- a/llama_stack/templates/open-benchmark/open_benchmark.py
+++ b/llama_stack/templates/open-benchmark/open_benchmark.py
@@ -9,7 +9,6 @@ from typing import Dict, List, Tuple
 from llama_stack.apis.datasets import DatasetPurpose, URIDataSource
 from llama_stack.apis.models.models import ModelType
 from llama_stack.distribution.datatypes import (
-    BenchmarkInput,
     DatasetInput,
     ModelInput,
     Provider,
@@ -102,9 +101,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
@@ -210,33 +207,35 @@ def get_distribution_template() -> DistributionTemplate:
         ),
     ]
 
-    default_benchmarks = [
-        BenchmarkInput(
-            benchmark_id="meta-reference-simpleqa",
-            dataset_id="simpleqa",
-            grader_ids=["llm-as-judge::405b-simpleqa"],
-        ),
-        BenchmarkInput(
-            benchmark_id="meta-reference-mmlu-cot",
-            dataset_id="mmlu_cot",
-            grader_ids=["basic::regex_parser_multiple_choice_answer"],
-        ),
-        BenchmarkInput(
-            benchmark_id="meta-reference-gpqa-cot",
-            dataset_id="gpqa_cot",
-            grader_ids=["basic::regex_parser_multiple_choice_answer"],
-        ),
-        BenchmarkInput(
-            benchmark_id="meta-reference-math-500",
-            dataset_id="math_500",
-            grader_ids=["basic::regex_parser_math_response"],
-        ),
-        BenchmarkInput(
-            benchmark_id="meta-reference-bfcl",
-            dataset_id="bfcl",
-            grader_ids=["basic::bfcl"],
-        ),
-    ]
+    # TODO(xiyan): fix this back as registerable resources
+    # default_benchmarks = [
+    #     BenchmarkInput(
+    #         benchmark_id="meta-reference-simpleqa",
+    #         dataset_id="simpleqa",
+    #         grader_ids=["llm-as-judge::405b-simpleqa"],
+    #     ),
+    #     BenchmarkInput(
+    #         benchmark_id="meta-reference-mmlu-cot",
+    #         dataset_id="mmlu_cot",
+    #         grader_ids=["basic::regex_parser_multiple_choice_answer"],
+    #     ),
+    #     BenchmarkInput(
+    #         benchmark_id="meta-reference-gpqa-cot",
+    #         dataset_id="gpqa_cot",
+    #         grader_ids=["basic::regex_parser_multiple_choice_answer"],
+    #     ),
+    #     BenchmarkInput(
+    #         benchmark_id="meta-reference-math-500",
+    #         dataset_id="math_500",
+    #         grader_ids=["basic::regex_parser_math_response"],
+    #     ),
+    #     BenchmarkInput(
+    #         benchmark_id="meta-reference-bfcl",
+    #         dataset_id="bfcl",
+    #         grader_ids=["basic::bfcl"],
+    #     ),
+    # ]
+
     return DistributionTemplate(
         name=name,
         distro_type="self_hosted",
@@ -255,7 +254,6 @@ def get_distribution_template() -> DistributionTemplate:
                 default_tool_groups=default_tool_groups,
                 default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
                 default_datasets=default_datasets,
-                default_benchmarks=default_benchmarks,
             ),
         },
         run_config_env_vars={
diff --git a/llama_stack/templates/open-benchmark/run.yaml b/llama_stack/templates/open-benchmark/run.yaml
index a3c00af56..c0671cbd1 100644
--- a/llama_stack/templates/open-benchmark/run.yaml
+++ b/llama_stack/templates/open-benchmark/run.yaml
@@ -3,10 +3,8 @@ image_name: open-benchmark
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -71,14 +69,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/open-benchmark/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -94,17 +84,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -193,33 +172,7 @@ datasets:
   metadata: {}
   dataset_id: bfcl
   provider_id: huggingface
-scoring_fns: []
-benchmarks:
-- dataset_id: simpleqa
-  grader_ids:
-  - llm-as-judge::405b-simpleqa
-  metadata: {}
-  benchmark_id: meta-reference-simpleqa
-- dataset_id: mmlu_cot
-  grader_ids:
-  - basic::regex_parser_multiple_choice_answer
-  metadata: {}
-  benchmark_id: meta-reference-mmlu-cot
-- dataset_id: gpqa_cot
-  grader_ids:
-  - basic::regex_parser_multiple_choice_answer
-  metadata: {}
-  benchmark_id: meta-reference-gpqa-cot
-- dataset_id: math_500
-  grader_ids:
-  - basic::regex_parser_math_response
-  metadata: {}
-  benchmark_id: meta-reference-math-500
-- dataset_id: bfcl
-  grader_ids:
-  - basic::bfcl
-  metadata: {}
-  benchmark_id: meta-reference-bfcl
+benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
   provider_id: tavily-search
diff --git a/llama_stack/templates/passthrough/build.yaml b/llama_stack/templates/passthrough/build.yaml
index fb1fb1066..6a44293f6 100644
--- a/llama_stack/templates/passthrough/build.yaml
+++ b/llama_stack/templates/passthrough/build.yaml
@@ -15,15 +15,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/passthrough/passthrough.py b/llama_stack/templates/passthrough/passthrough.py
index cc3f55937..589aca229 100644
--- a/llama_stack/templates/passthrough/passthrough.py
+++ b/llama_stack/templates/passthrough/passthrough.py
@@ -21,10 +21,7 @@ from llama_stack.providers.remote.inference.passthrough.config import (
     PassthroughImplConfig,
 )
 from llama_stack.providers.utils.inference.model_registry import ProviderModelEntry
-from llama_stack.templates.template import (
-    DistributionTemplate,
-    RunConfigSettings,
-)
+from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -34,9 +31,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/passthrough/run-with-safety.yaml b/llama_stack/templates/passthrough/run-with-safety.yaml
index fbfa4afe7..72aced336 100644
--- a/llama_stack/templates/passthrough/run-with-safety.yaml
+++ b/llama_stack/templates/passthrough/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: passthrough
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -53,14 +51,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/passthrough/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/passthrough}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -76,17 +66,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/passthrough}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -139,7 +118,6 @@ shields:
   provider_id: code-scanner
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/passthrough/run.yaml b/llama_stack/templates/passthrough/run.yaml
index 6956bc6e3..a239f2bf7 100644
--- a/llama_stack/templates/passthrough/run.yaml
+++ b/llama_stack/templates/passthrough/run.yaml
@@ -3,10 +3,8 @@ image_name: passthrough
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/passthrough/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/passthrough}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/passthrough}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -129,7 +108,6 @@ shields:
 - shield_id: meta-llama/Llama-Guard-3-8B
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/remote-vllm/build.yaml b/llama_stack/templates/remote-vllm/build.yaml
index b2bbf853a..0437d76d6 100644
--- a/llama_stack/templates/remote-vllm/build.yaml
+++ b/llama_stack/templates/remote-vllm/build.yaml
@@ -13,15 +13,9 @@ distribution_spec:
     - inline::llama-guard
     agents:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     telemetry:
     - inline::meta-reference
     tool_runtime:
diff --git a/llama_stack/templates/remote-vllm/run-with-safety.yaml b/llama_stack/templates/remote-vllm/run-with-safety.yaml
index 3830ffcdb..c462ad924 100644
--- a/llama_stack/templates/remote-vllm/run-with-safety.yaml
+++ b/llama_stack/templates/remote-vllm/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: remote-vllm
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -50,14 +48,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/agents_store.db
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -73,17 +63,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   telemetry:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
@@ -136,7 +115,6 @@ shields:
 - shield_id: ${env.SAFETY_MODEL}
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/remote-vllm/run.yaml b/llama_stack/templates/remote-vllm/run.yaml
index b6bba1252..71f4ea5cc 100644
--- a/llama_stack/templates/remote-vllm/run.yaml
+++ b/llama_stack/templates/remote-vllm/run.yaml
@@ -3,10 +3,8 @@ image_name: remote-vllm
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -43,14 +41,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/agents_store.db
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -66,17 +56,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   telemetry:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
@@ -124,7 +103,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/remote-vllm/vllm.py b/llama_stack/templates/remote-vllm/vllm.py
index 9901fc83b..f43873b02 100644
--- a/llama_stack/templates/remote-vllm/vllm.py
+++ b/llama_stack/templates/remote-vllm/vllm.py
@@ -27,9 +27,7 @@ def get_distribution_template() -> DistributionTemplate:
         "vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "telemetry": ["inline::meta-reference"],
         "tool_runtime": [
             "remote::brave-search",
diff --git a/llama_stack/templates/sambanova/run.yaml b/llama_stack/templates/sambanova/run.yaml
index 616d82a61..0a6f71c52 100644
--- a/llama_stack/templates/sambanova/run.yaml
+++ b/llama_stack/templates/sambanova/run.yaml
@@ -169,7 +169,6 @@ shields:
 - shield_id: meta-llama/Llama-Guard-3-8B
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/tgi/build.yaml b/llama_stack/templates/tgi/build.yaml
index 9fe79647c..e870c5eb1 100644
--- a/llama_stack/templates/tgi/build.yaml
+++ b/llama_stack/templates/tgi/build.yaml
@@ -15,15 +15,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/tgi/run-with-safety.yaml b/llama_stack/templates/tgi/run-with-safety.yaml
index db54c0393..2e27ccdbf 100644
--- a/llama_stack/templates/tgi/run-with-safety.yaml
+++ b/llama_stack/templates/tgi/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: tgi
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/tgi/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/tgi}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/tgi}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -118,7 +97,6 @@ shields:
 - shield_id: ${env.SAFETY_MODEL}
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/tgi/run.yaml b/llama_stack/templates/tgi/run.yaml
index dafb59aa9..9e0bdeb21 100644
--- a/llama_stack/templates/tgi/run.yaml
+++ b/llama_stack/templates/tgi/run.yaml
@@ -3,10 +3,8 @@ image_name: tgi
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -47,14 +45,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/tgi/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/tgi}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -70,17 +60,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/tgi}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -117,7 +96,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/tgi/tgi.py b/llama_stack/templates/tgi/tgi.py
index 45ea74db6..5fcf336c7 100644
--- a/llama_stack/templates/tgi/tgi.py
+++ b/llama_stack/templates/tgi/tgi.py
@@ -28,9 +28,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/together/build.yaml b/llama_stack/templates/together/build.yaml
index 834a3ecaf..8892475bb 100644
--- a/llama_stack/templates/together/build.yaml
+++ b/llama_stack/templates/together/build.yaml
@@ -15,15 +15,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/together/run-with-safety.yaml b/llama_stack/templates/together/run-with-safety.yaml
index e0bf46c11..c386aeb83 100644
--- a/llama_stack/templates/together/run-with-safety.yaml
+++ b/llama_stack/templates/together/run-with-safety.yaml
@@ -3,10 +3,8 @@ image_name: together
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -53,14 +51,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/together/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/together}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -76,17 +66,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/together}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -233,7 +212,6 @@ shields:
   provider_id: code-scanner
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/together/run.yaml b/llama_stack/templates/together/run.yaml
index 9d0acaf31..0c808eed6 100644
--- a/llama_stack/templates/together/run.yaml
+++ b/llama_stack/templates/together/run.yaml
@@ -3,10 +3,8 @@ image_name: together
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -48,14 +46,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/together/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/together}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -71,17 +61,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/together}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -223,7 +202,6 @@ shields:
 - shield_id: meta-llama/Llama-Guard-3-8B
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/together/together.py b/llama_stack/templates/together/together.py
index fce03a1b2..fbb9417b9 100644
--- a/llama_stack/templates/together/together.py
+++ b/llama_stack/templates/together/together.py
@@ -19,7 +19,11 @@ from llama_stack.providers.inline.inference.sentence_transformers import (
 from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
 from llama_stack.providers.remote.inference.together import TogetherImplConfig
 from llama_stack.providers.remote.inference.together.models import MODEL_ENTRIES
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings, get_model_registry
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+    get_model_registry,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -29,9 +33,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/llama_stack/templates/vllm-gpu/build.yaml b/llama_stack/templates/vllm-gpu/build.yaml
index 8eb44dc1b..93707544d 100644
--- a/llama_stack/templates/vllm-gpu/build.yaml
+++ b/llama_stack/templates/vllm-gpu/build.yaml
@@ -15,15 +15,9 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
-    eval:
-    - inline::meta-reference
     datasetio:
     - remote::huggingface
     - inline::localfs
-    scoring:
-    - inline::basic
-    - inline::llm-as-judge
-    - inline::braintrust
     tool_runtime:
     - remote::brave-search
     - remote::tavily-search
diff --git a/llama_stack/templates/vllm-gpu/run.yaml b/llama_stack/templates/vllm-gpu/run.yaml
index bf85de0a2..d3c666438 100644
--- a/llama_stack/templates/vllm-gpu/run.yaml
+++ b/llama_stack/templates/vllm-gpu/run.yaml
@@ -3,10 +3,8 @@ image_name: vllm-gpu
 apis:
 - agents
 - datasetio
-- eval
 - inference
 - safety
-- scoring
 - telemetry
 - tool_runtime
 - vector_io
@@ -52,14 +50,6 @@ providers:
       service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/vllm-gpu/trace_store.db}
-  eval:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/meta_reference_eval.db
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
@@ -75,17 +65,6 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/localfs_datasetio.db
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: ${env.OPENAI_API_KEY:}
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -122,7 +101,6 @@ models:
 shields: []
 vector_dbs: []
 datasets: []
-scoring_fns: []
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch
diff --git a/llama_stack/templates/vllm-gpu/vllm.py b/llama_stack/templates/vllm-gpu/vllm.py
index 8883f117f..2235c8642 100644
--- a/llama_stack/templates/vllm-gpu/vllm.py
+++ b/llama_stack/templates/vllm-gpu/vllm.py
@@ -25,9 +25,7 @@ def get_distribution_template() -> DistributionTemplate:
         "safety": ["inline::llama-guard"],
         "agents": ["inline::meta-reference"],
         "telemetry": ["inline::meta-reference"],
-        "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
         "tool_runtime": [
             "remote::brave-search",
             "remote::tavily-search",
diff --git a/pyproject.toml b/pyproject.toml
index cf4e81ab8..807da4337 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -168,7 +168,6 @@ exclude = [
     "^llama_stack/apis/common/training_types\\.py$",
     "^llama_stack/apis/datasetio/datasetio\\.py$",
     "^llama_stack/apis/datasets/datasets\\.py$",
-    "^llama_stack/apis/eval/eval\\.py$",
     "^llama_stack/apis/files/files\\.py$",
     "^llama_stack/apis/inference/inference\\.py$",
     "^llama_stack/apis/inspect/inspect\\.py$",
@@ -177,8 +176,6 @@ exclude = [
     "^llama_stack/apis/providers/providers\\.py$",
     "^llama_stack/apis/resource\\.py$",
     "^llama_stack/apis/safety/safety\\.py$",
-    "^llama_stack/apis/scoring/scoring\\.py$",
-    "^llama_stack/apis/scoring_functions/scoring_functions\\.py$",
     "^llama_stack/apis/shields/shields\\.py$",
     "^llama_stack/apis/synthetic_data_generation/synthetic_data_generation\\.py$",
     "^llama_stack/apis/telemetry/telemetry\\.py$",
@@ -218,6 +215,7 @@ exclude = [
     "^llama_stack/providers/inline/agents/meta_reference/agent_instance\\.py$",
     "^llama_stack/providers/inline/agents/meta_reference/agents\\.py$",
     "^llama_stack/providers/inline/agents/meta_reference/safety\\.py$",
+    "^llama_stack/providers/inline/evaluation/meta_reference/evaluation\\.py$",
     "^llama_stack/providers/inline/datasetio/localfs/",
     "^llama_stack/providers/inline/eval/meta_reference/eval\\.py$",
     "^llama_stack/providers/inline/inference/meta_reference/config\\.py$",
diff --git a/tests/integration/eval/test_eval.py b/tests/integration/eval/test_eval.py
index c4aa0fa1b..7a519f208 100644
--- a/tests/integration/eval/test_eval.py
+++ b/tests/integration/eval/test_eval.py
@@ -16,6 +16,7 @@ from ..datasets.test_datasets import data_url_from_file
 
 
 @pytest.mark.parametrize("scoring_fn_id", ["basic::equality"])
+@pytest.mark.skip(reason="TODO(xiyan): fix this")
 def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
     dataset = llama_stack_client.datasets.register(
         purpose="eval/messages-answer",
@@ -65,6 +66,7 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
 
 
 @pytest.mark.parametrize("scoring_fn_id", ["basic::subset_of"])
+@pytest.mark.skip(reason="TODO(xiyan): fix this")
 def test_evaluate_benchmark(llama_stack_client, text_model_id, scoring_fn_id):
     dataset = llama_stack_client.datasets.register(
         purpose="eval/messages-answer",
diff --git a/tests/integration/scoring/test_scoring.py b/tests/integration/scoring/test_scoring.py
index 315ff050c..675090f7f 100644
--- a/tests/integration/scoring/test_scoring.py
+++ b/tests/integration/scoring/test_scoring.py
@@ -43,12 +43,14 @@ def register_scoring_function(
     )
 
 
+@pytest.mark.skip(reason="TODO(xiyan): fix this")
 def test_scoring_functions_list(llama_stack_client):
     response = llama_stack_client.scoring_functions.list()
     assert isinstance(response, list)
     assert len(response) > 0
 
 
+@pytest.mark.skip(reason="TODO(xiyan): fix this")
 def test_scoring_functions_register(
     llama_stack_client,
     sample_scoring_fn_id,
@@ -81,6 +83,7 @@ def test_scoring_functions_register(
 
 
 @pytest.mark.parametrize("scoring_fn_id", ["basic::equality"])
+@pytest.mark.skip(reason="TODO(xiyan): fix this")
 def test_scoring_score(llama_stack_client, scoring_fn_id):
     # scoring individual rows
     df = pd.read_csv(Path(__file__).parent.parent / "datasets" / "test_dataset.csv")
@@ -100,6 +103,7 @@ def test_scoring_score(llama_stack_client, scoring_fn_id):
         assert len(response.results[x].score_rows) == len(rows)
 
 
+@pytest.mark.skip(reason="TODO(xiyan): fix this")
 def test_scoring_score_with_params_llm_as_judge(
     llama_stack_client,
     sample_judge_prompt_template,
@@ -139,6 +143,7 @@ def test_scoring_score_with_params_llm_as_judge(
         "braintrust",
     ],
 )
+@pytest.mark.skip(reason="TODO(xiyan): fix this")
 def test_scoring_score_with_aggregation_functions(
     llama_stack_client,
     sample_judge_prompt_template,

From 45f6d5cd080dbef85a4302205393ce843513cbc6 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 15:57:48 -0700
Subject: [PATCH 63/73] remove ScoringFn

---
 llama_stack/distribution/datatypes.py | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/llama_stack/distribution/datatypes.py b/llama_stack/distribution/datatypes.py
index 6df24803e..fb7b47388 100644
--- a/llama_stack/distribution/datatypes.py
+++ b/llama_stack/distribution/datatypes.py
@@ -122,10 +122,6 @@ class DatasetWithACL(Dataset, ResourceWithACL):
     pass
 
 
-class ScoringFnWithACL(ScoringFn, ResourceWithACL):
-    pass
-
-
 class BenchmarkWithACL(Benchmark, ResourceWithACL):
     pass
 
@@ -155,7 +151,6 @@ RoutableObjectWithProvider = Annotated[
         ShieldWithACL,
         VectorDBWithACL,
         DatasetWithACL,
-        ScoringFnWithACL,
         BenchmarkWithACL,
         ToolWithACL,
         ToolGroupWithACL,

From 3f8c7a584aede5a666bdc3eb5e7ac21185dc0ca8 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:00:48 -0700
Subject: [PATCH 64/73] precommit

---
 distributions/dependencies.json               |  57 --
 docs/_static/llama-stack-spec.html            | 542 +-----------------
 docs/_static/llama-stack-spec.yaml            | 452 +--------------
 llama_stack/apis/eval/eval.py                 |   1 -
 .../scoring_functions/scoring_functions.py    |   1 -
 .../distribution/routers/routing_tables.py    |   1 -
 llama_stack/providers/registry/eval.py        |   1 -
 llama_stack/templates/open-benchmark/run.yaml |  13 +-
 8 files changed, 31 insertions(+), 1037 deletions(-)

diff --git a/distributions/dependencies.json b/distributions/dependencies.json
index fe1509483..1767523d6 100644
--- a/distributions/dependencies.json
+++ b/distributions/dependencies.json
@@ -6,12 +6,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -23,7 +21,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -40,12 +37,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "nltk",
     "numpy",
@@ -56,7 +51,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -74,12 +68,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "fastapi",
     "fire",
     "fireworks-ai",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -91,7 +83,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -111,13 +102,11 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
     "huggingface_hub",
-    "langdetect",
     "matplotlib",
     "nltk",
     "numpy",
@@ -128,7 +117,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -146,12 +134,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "fastapi",
     "fire",
     "fireworks-ai",
     "httpx",
-    "langdetect",
     "litellm",
     "matplotlib",
     "mcp",
@@ -164,7 +150,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -183,13 +168,11 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "fireworks-ai",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -201,7 +184,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -218,12 +200,10 @@
     "blobfile",
     "chardet",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "litellm",
     "matplotlib",
     "nltk",
@@ -235,7 +215,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -252,13 +231,11 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
     "huggingface_hub",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -270,7 +247,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -287,13 +263,11 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
     "huggingface_hub",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -305,7 +279,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -324,13 +297,11 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "fairscale",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "lm-format-enforcer",
     "matplotlib",
     "mcp",
@@ -343,7 +314,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -364,14 +334,12 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "fairscale",
     "faiss-cpu",
     "fastapi",
     "fbgemm-gpu",
     "fire",
     "httpx",
-    "langdetect",
     "lm-format-enforcer",
     "matplotlib",
     "mcp",
@@ -384,7 +352,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -403,12 +370,10 @@
     "aiosqlite",
     "blobfile",
     "chardet",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "nltk",
     "numpy",
@@ -420,7 +385,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -437,12 +401,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -455,7 +417,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -471,11 +432,9 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "litellm",
     "matplotlib",
     "mcp",
@@ -488,7 +447,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -506,12 +464,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -523,7 +479,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -541,12 +496,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -559,7 +512,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -607,13 +559,11 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
     "huggingface_hub",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -625,7 +575,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -643,12 +592,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -660,7 +607,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
@@ -679,12 +625,10 @@
     "chardet",
     "chromadb-client",
     "datasets",
-    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",
     "httpx",
-    "langdetect",
     "matplotlib",
     "mcp",
     "nltk",
@@ -696,7 +640,6 @@
     "psycopg2-binary",
     "pymongo",
     "pypdf",
-    "pythainlp",
     "redis",
     "requests",
     "scikit-learn",
diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index a7b95d9fe..ab73dc345 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -2285,7 +2285,7 @@
                         "content": {
                             "application/json": {
                                 "schema": {
-                                    "$ref": "#/components/schemas/Job"
+                                    "$ref": "#/components/schemas/ListAgentSessionsResponse"
                                 }
                             }
                         }
@@ -6192,382 +6192,6 @@
                 "title": "EmbeddingsResponse",
                 "description": "Response containing generated embeddings."
             },
-            "AgentCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "agent",
-                        "default": "agent"
-                    },
-                    "config": {
-                        "$ref": "#/components/schemas/AgentConfig",
-                        "description": "The configuration for the agent candidate."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "config"
-                ],
-                "title": "AgentCandidate",
-                "description": "An agent candidate for evaluation."
-            },
-            "AggregationFunctionType": {
-                "type": "string",
-                "enum": [
-                    "average",
-                    "weighted_average",
-                    "median",
-                    "categorical_count",
-                    "accuracy"
-                ],
-                "title": "AggregationFunctionType"
-            },
-            "BasicScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "basic",
-                        "default": "basic"
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "BasicScoringFnParams"
-            },
-            "BenchmarkConfig": {
-                "type": "object",
-                "properties": {
-                    "eval_candidate": {
-                        "$ref": "#/components/schemas/EvalCandidate",
-                        "description": "The candidate to evaluate."
-                    },
-                    "scoring_params": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringFnParams"
-                        },
-                        "description": "Map between scoring function id and parameters for each scoring function you want to run"
-                    },
-                    "num_examples": {
-                        "type": "integer",
-                        "description": "(Optional) The number of examples to evaluate. If not provided, all examples in the dataset will be evaluated"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "eval_candidate",
-                    "scoring_params"
-                ],
-                "title": "BenchmarkConfig",
-                "description": "A benchmark configuration for evaluation."
-            },
-            "EvalCandidate": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/ModelCandidate"
-                    },
-                    {
-                        "$ref": "#/components/schemas/AgentCandidate"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "model": "#/components/schemas/ModelCandidate",
-                        "agent": "#/components/schemas/AgentCandidate"
-                    }
-                }
-            },
-            "LLMAsJudgeScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "llm_as_judge",
-                        "default": "llm_as_judge"
-                    },
-                    "judge_model": {
-                        "type": "string"
-                    },
-                    "prompt_template": {
-                        "type": "string"
-                    },
-                    "judge_score_regexes": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "judge_model"
-                ],
-                "title": "LLMAsJudgeScoringFnParams"
-            },
-            "ModelCandidate": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "model",
-                        "default": "model"
-                    },
-                    "model": {
-                        "type": "string",
-                        "description": "The model ID to evaluate."
-                    },
-                    "sampling_params": {
-                        "$ref": "#/components/schemas/SamplingParams",
-                        "description": "The sampling parameters for the model."
-                    },
-                    "system_message": {
-                        "$ref": "#/components/schemas/SystemMessage",
-                        "description": "(Optional) The system message providing instructions or context to the model."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type",
-                    "model",
-                    "sampling_params"
-                ],
-                "title": "ModelCandidate",
-                "description": "A model candidate for evaluation."
-            },
-            "RegexParserScoringFnParams": {
-                "type": "object",
-                "properties": {
-                    "type": {
-                        "type": "string",
-                        "const": "regex_parser",
-                        "default": "regex_parser"
-                    },
-                    "parsing_regexes": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        }
-                    },
-                    "aggregation_functions": {
-                        "type": "array",
-                        "items": {
-                            "$ref": "#/components/schemas/AggregationFunctionType"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "type"
-                ],
-                "title": "RegexParserScoringFnParams"
-            },
-            "ScoringFnParams": {
-                "oneOf": [
-                    {
-                        "$ref": "#/components/schemas/LLMAsJudgeScoringFnParams"
-                    },
-                    {
-                        "$ref": "#/components/schemas/RegexParserScoringFnParams"
-                    },
-                    {
-                        "$ref": "#/components/schemas/BasicScoringFnParams"
-                    }
-                ],
-                "discriminator": {
-                    "propertyName": "type",
-                    "mapping": {
-                        "llm_as_judge": "#/components/schemas/LLMAsJudgeScoringFnParams",
-                        "regex_parser": "#/components/schemas/RegexParserScoringFnParams",
-                        "basic": "#/components/schemas/BasicScoringFnParams"
-                    }
-                }
-            },
-            "EvaluateRowsRequest": {
-                "type": "object",
-                "properties": {
-                    "input_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The rows to evaluate."
-                    },
-                    "scoring_functions": {
-                        "type": "array",
-                        "items": {
-                            "type": "string"
-                        },
-                        "description": "The scoring functions to use for the evaluation."
-                    },
-                    "benchmark_config": {
-                        "$ref": "#/components/schemas/BenchmarkConfig",
-                        "description": "The configuration for the benchmark."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "input_rows",
-                    "scoring_functions",
-                    "benchmark_config"
-                ],
-                "title": "EvaluateRowsRequest"
-            },
-            "EvaluateResponse": {
-                "type": "object",
-                "properties": {
-                    "generations": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The generations from the evaluation."
-                    },
-                    "scores": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "The scores from the evaluation."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "generations",
-                    "scores"
-                ],
-                "title": "EvaluateResponse",
-                "description": "The response from an evaluation."
-            },
-            "ScoringResult": {
-                "type": "object",
-                "properties": {
-                    "score_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The scoring result for each row. Each row is a map of column name to value."
-                    },
-                    "aggregated_results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "type": "null"
-                                },
-                                {
-                                    "type": "boolean"
-                                },
-                                {
-                                    "type": "number"
-                                },
-                                {
-                                    "type": "string"
-                                },
-                                {
-                                    "type": "array"
-                                },
-                                {
-                                    "type": "object"
-                                }
-                            ]
-                        },
-                        "description": "Map of metric name to aggregated value"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "score_rows",
-                    "aggregated_results"
-                ],
-                "title": "ScoringResult",
-                "description": "A scoring result for a single row."
-            },
             "Agent": {
                 "type": "object",
                 "properties": {
@@ -7705,7 +7329,8 @@
                             "completed",
                             "in_progress",
                             "failed",
-                            "scheduled"
+                            "scheduled",
+                            "cancelled"
                         ],
                         "title": "JobStatus"
                     },
@@ -8400,30 +8025,6 @@
                 "title": "IterrowsResponse",
                 "description": "A paginated list of rows from a dataset."
             },
-            "Job": {
-                "type": "object",
-                "properties": {
-                    "job_id": {
-                        "type": "string"
-                    },
-                    "status": {
-                        "type": "string",
-                        "enum": [
-                            "completed",
-                            "in_progress",
-                            "failed",
-                            "scheduled"
-                        ],
-                        "title": "JobStatus"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "job_id",
-                    "status"
-                ],
-                "title": "Job"
-            },
             "ListAgentSessionsResponse": {
                 "type": "object",
                 "properties": {
@@ -10007,16 +9608,21 @@
             "RunRequest": {
                 "type": "object",
                 "properties": {
-                    "benchmark_config": {
-                        "$ref": "#/components/schemas/BenchmarkConfig",
-                        "description": "The configuration for the benchmark."
+                    "task": {
+                        "$ref": "#/components/schemas/EvaluationTask",
+                        "description": "The task to evaluate. To specify a task, one of the following must be provided: - `benchmark_id`: Run evaluation task against a benchmark_id - `dataset_id` and `grader_ids`: Run evaluation task against a dataset_id and a list of grader_ids - `data_source` and `grader_ids`: Run evaluation task against a data source (e.g. rows, uri, etc.) and a list of grader_ids"
+                    },
+                    "candidate": {
+                        "$ref": "#/components/schemas/EvaluationCandidate",
+                        "description": "The candidate to evaluate."
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "benchmark_config"
+                    "task",
+                    "candidate"
                 ],
-                "title": "RunEvalRequest"
+                "title": "RunRequest"
             },
             "RunShieldRequest": {
                 "type": "object",
@@ -10123,128 +9729,6 @@
                 ],
                 "title": "SaveSpansToDatasetRequest"
             },
-            "ScoreRequest": {
-                "type": "object",
-                "properties": {
-                    "input_rows": {
-                        "type": "array",
-                        "items": {
-                            "type": "object",
-                            "additionalProperties": {
-                                "oneOf": [
-                                    {
-                                        "type": "null"
-                                    },
-                                    {
-                                        "type": "boolean"
-                                    },
-                                    {
-                                        "type": "number"
-                                    },
-                                    {
-                                        "type": "string"
-                                    },
-                                    {
-                                        "type": "array"
-                                    },
-                                    {
-                                        "type": "object"
-                                    }
-                                ]
-                            }
-                        },
-                        "description": "The rows to score."
-                    },
-                    "scoring_functions": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "$ref": "#/components/schemas/ScoringFnParams"
-                                },
-                                {
-                                    "type": "null"
-                                }
-                            ]
-                        },
-                        "description": "The scoring functions to use for the scoring."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "input_rows",
-                    "scoring_functions"
-                ],
-                "title": "ScoreRequest"
-            },
-            "ScoreResponse": {
-                "type": "object",
-                "properties": {
-                    "results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        },
-                        "description": "A map of scoring function name to ScoringResult."
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "results"
-                ],
-                "title": "ScoreResponse",
-                "description": "The response from scoring."
-            },
-            "ScoreBatchRequest": {
-                "type": "object",
-                "properties": {
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "scoring_functions": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "oneOf": [
-                                {
-                                    "$ref": "#/components/schemas/ScoringFnParams"
-                                },
-                                {
-                                    "type": "null"
-                                }
-                            ]
-                        }
-                    },
-                    "save_results_dataset": {
-                        "type": "boolean"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "dataset_id",
-                    "scoring_functions",
-                    "save_results_dataset"
-                ],
-                "title": "ScoreBatchRequest"
-            },
-            "ScoreBatchResponse": {
-                "type": "object",
-                "properties": {
-                    "dataset_id": {
-                        "type": "string"
-                    },
-                    "results": {
-                        "type": "object",
-                        "additionalProperties": {
-                            "$ref": "#/components/schemas/ScoringResult"
-                        }
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "results"
-                ],
-                "title": "ScoreBatchResponse"
-            },
             "AlgorithmConfig": {
                 "oneOf": [
                     {
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 42ea4bd29..66044bb65 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -1562,109 +1562,6 @@ paths:
           required: false
           schema:
             type: integer
-  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}:
-    get:
-      responses:
-        '200':
-          description: The status of the evaluationjob.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/Job'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Get the status of a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to get the status of.
-          required: true
-          schema:
-            type: string
-    delete:
-      responses:
-        '200':
-          description: OK
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Cancel a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to cancel.
-          required: true
-          schema:
-            type: string
-  /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result:
-    get:
-      responses:
-        '200':
-          description: The result of the job.
-          content:
-            application/json:
-              schema:
-                $ref: '#/components/schemas/EvaluateResponse'
-        '400':
-          $ref: '#/components/responses/BadRequest400'
-        '429':
-          $ref: >-
-            #/components/responses/TooManyRequests429
-        '500':
-          $ref: >-
-            #/components/responses/InternalServerError500
-        default:
-          $ref: '#/components/responses/DefaultError'
-      tags:
-        - Eval
-      description: Get the result of a job.
-      parameters:
-        - name: benchmark_id
-          in: path
-          description: >-
-            The ID of the benchmark to run the evaluation on.
-          required: true
-          schema:
-            type: string
-        - name: job_id
-          in: path
-          description: The ID of the job to get the result of.
-          required: true
-          schema:
-            type: string
   /v1/agents/{agent_id}/sessions:
     get:
       responses:
@@ -1923,7 +1820,7 @@ paths:
         default:
           $ref: '#/components/responses/DefaultError'
       tags:
-        - Providers
+        - Models
       description: ''
       parameters: []
     post:
@@ -1974,7 +1871,7 @@ paths:
         default:
           $ref: '#/components/responses/DefaultError'
       tags:
-        - Inspect
+        - Providers
       description: ''
       parameters: []
   /v1/inspect/routes:
@@ -4448,252 +4345,6 @@ components:
       title: EmbeddingsResponse
       description: >-
         Response containing generated embeddings.
-    AgentCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: agent
-          default: agent
-        config:
-          $ref: '#/components/schemas/AgentConfig'
-          description: >-
-            The configuration for the agent candidate.
-      additionalProperties: false
-      required:
-        - type
-        - config
-      title: AgentCandidate
-      description: An agent candidate for evaluation.
-    AggregationFunctionType:
-      type: string
-      enum:
-        - average
-        - weighted_average
-        - median
-        - categorical_count
-        - accuracy
-      title: AggregationFunctionType
-    BasicScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: basic
-          default: basic
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-      title: BasicScoringFnParams
-    BenchmarkConfig:
-      type: object
-      properties:
-        eval_candidate:
-          $ref: '#/components/schemas/EvalCandidate'
-          description: The candidate to evaluate.
-        scoring_params:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringFnParams'
-          description: >-
-            Map between scoring function id and parameters for each scoring function
-            you want to run
-        num_examples:
-          type: integer
-          description: >-
-            (Optional) The number of examples to evaluate. If not provided, all examples
-            in the dataset will be evaluated
-      additionalProperties: false
-      required:
-        - eval_candidate
-        - scoring_params
-      title: BenchmarkConfig
-      description: >-
-        A benchmark configuration for evaluation.
-    EvalCandidate:
-      oneOf:
-        - $ref: '#/components/schemas/ModelCandidate'
-        - $ref: '#/components/schemas/AgentCandidate'
-      discriminator:
-        propertyName: type
-        mapping:
-          model: '#/components/schemas/ModelCandidate'
-          agent: '#/components/schemas/AgentCandidate'
-    LLMAsJudgeScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: llm_as_judge
-          default: llm_as_judge
-        judge_model:
-          type: string
-        prompt_template:
-          type: string
-        judge_score_regexes:
-          type: array
-          items:
-            type: string
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-        - judge_model
-      title: LLMAsJudgeScoringFnParams
-    ModelCandidate:
-      type: object
-      properties:
-        type:
-          type: string
-          const: model
-          default: model
-        model:
-          type: string
-          description: The model ID to evaluate.
-        sampling_params:
-          $ref: '#/components/schemas/SamplingParams'
-          description: The sampling parameters for the model.
-        system_message:
-          $ref: '#/components/schemas/SystemMessage'
-          description: >-
-            (Optional) The system message providing instructions or context to the
-            model.
-      additionalProperties: false
-      required:
-        - type
-        - model
-        - sampling_params
-      title: ModelCandidate
-      description: A model candidate for evaluation.
-    RegexParserScoringFnParams:
-      type: object
-      properties:
-        type:
-          type: string
-          const: regex_parser
-          default: regex_parser
-        parsing_regexes:
-          type: array
-          items:
-            type: string
-        aggregation_functions:
-          type: array
-          items:
-            $ref: '#/components/schemas/AggregationFunctionType'
-      additionalProperties: false
-      required:
-        - type
-      title: RegexParserScoringFnParams
-    ScoringFnParams:
-      oneOf:
-        - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams'
-        - $ref: '#/components/schemas/RegexParserScoringFnParams'
-        - $ref: '#/components/schemas/BasicScoringFnParams'
-      discriminator:
-        propertyName: type
-        mapping:
-          llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams'
-          regex_parser: '#/components/schemas/RegexParserScoringFnParams'
-          basic: '#/components/schemas/BasicScoringFnParams'
-    EvaluateRowsRequest:
-      type: object
-      properties:
-        input_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The rows to evaluate.
-        scoring_functions:
-          type: array
-          items:
-            type: string
-          description: >-
-            The scoring functions to use for the evaluation.
-        benchmark_config:
-          $ref: '#/components/schemas/BenchmarkConfig'
-          description: The configuration for the benchmark.
-      additionalProperties: false
-      required:
-        - input_rows
-        - scoring_functions
-        - benchmark_config
-      title: EvaluateRowsRequest
-    EvaluateResponse:
-      type: object
-      properties:
-        generations:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The generations from the evaluation.
-        scores:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: The scores from the evaluation.
-      additionalProperties: false
-      required:
-        - generations
-        - scores
-      title: EvaluateResponse
-      description: The response from an evaluation.
-    ScoringResult:
-      type: object
-      properties:
-        score_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: >-
-            The scoring result for each row. Each row is a map of column name to value.
-        aggregated_results:
-          type: object
-          additionalProperties:
-            oneOf:
-              - type: 'null'
-              - type: boolean
-              - type: number
-              - type: string
-              - type: array
-              - type: object
-          description: Map of metric name to aggregated value
-      additionalProperties: false
-      required:
-        - score_rows
-        - aggregated_results
-      title: ScoringResult
-      description: A scoring result for a single row.
     Agent:
       type: object
       properties:
@@ -5451,6 +5102,7 @@ components:
             - in_progress
             - failed
             - scheduled
+            - cancelled
           title: JobStatus
         scheduled_at:
           type: string
@@ -5901,24 +5553,6 @@ components:
         - data
       title: IterrowsResponse
       description: A paginated list of rows from a dataset.
-    Job:
-      type: object
-      properties:
-        job_id:
-          type: string
-        status:
-          type: string
-          enum:
-            - completed
-            - in_progress
-            - failed
-            - scheduled
-          title: JobStatus
-      additionalProperties: false
-      required:
-        - job_id
-        - status
-      title: Job
     ListAgentSessionsResponse:
       type: object
       properties:
@@ -6984,8 +6618,9 @@ components:
           description: The candidate to evaluate.
       additionalProperties: false
       required:
-        - benchmark_config
-      title: RunEvalRequest
+        - task
+        - candidate
+      title: RunRequest
     RunShieldRequest:
       type: object
       properties:
@@ -7058,81 +6693,6 @@ components:
         - attributes_to_save
         - dataset_id
       title: SaveSpansToDatasetRequest
-    ScoreRequest:
-      type: object
-      properties:
-        input_rows:
-          type: array
-          items:
-            type: object
-            additionalProperties:
-              oneOf:
-                - type: 'null'
-                - type: boolean
-                - type: number
-                - type: string
-                - type: array
-                - type: object
-          description: The rows to score.
-        scoring_functions:
-          type: object
-          additionalProperties:
-            oneOf:
-              - $ref: '#/components/schemas/ScoringFnParams'
-              - type: 'null'
-          description: >-
-            The scoring functions to use for the scoring.
-      additionalProperties: false
-      required:
-        - input_rows
-        - scoring_functions
-      title: ScoreRequest
-    ScoreResponse:
-      type: object
-      properties:
-        results:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-          description: >-
-            A map of scoring function name to ScoringResult.
-      additionalProperties: false
-      required:
-        - results
-      title: ScoreResponse
-      description: The response from scoring.
-    ScoreBatchRequest:
-      type: object
-      properties:
-        dataset_id:
-          type: string
-        scoring_functions:
-          type: object
-          additionalProperties:
-            oneOf:
-              - $ref: '#/components/schemas/ScoringFnParams'
-              - type: 'null'
-        save_results_dataset:
-          type: boolean
-      additionalProperties: false
-      required:
-        - dataset_id
-        - scoring_functions
-        - save_results_dataset
-      title: ScoreBatchRequest
-    ScoreBatchResponse:
-      type: object
-      properties:
-        dataset_id:
-          type: string
-        results:
-          type: object
-          additionalProperties:
-            $ref: '#/components/schemas/ScoringResult'
-      additionalProperties: false
-      required:
-        - results
-      title: ScoreBatchResponse
     AlgorithmConfig:
       oneOf:
         - $ref: '#/components/schemas/LoraFinetuningConfig'
diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
index 83b50d175..0e5959c37 100644
--- a/llama_stack/apis/eval/eval.py
+++ b/llama_stack/apis/eval/eval.py
@@ -141,4 +141,3 @@ class Eval(Protocol):
         :param job_id: The ID of the job to get the result of.
         :return: The result of the job.
         """
-
diff --git a/llama_stack/apis/scoring_functions/scoring_functions.py b/llama_stack/apis/scoring_functions/scoring_functions.py
index 4f6f4d824..4f85947dd 100644
--- a/llama_stack/apis/scoring_functions/scoring_functions.py
+++ b/llama_stack/apis/scoring_functions/scoring_functions.py
@@ -146,4 +146,3 @@ class ScoringFunctions(Protocol):
         provider_id: Optional[str] = None,
         params: Optional[ScoringFnParams] = None,
     ) -> None: ...
-
diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py
index d56d6f672..84fe52632 100644
--- a/llama_stack/distribution/routers/routing_tables.py
+++ b/llama_stack/distribution/routers/routing_tables.py
@@ -43,7 +43,6 @@ from llama_stack.distribution.datatypes import (
     RoutableObject,
     RoutableObjectWithProvider,
     RoutedProtocol,
-    ScoringFnWithACL,
     ShieldWithACL,
     ToolGroupWithACL,
     ToolWithACL,
diff --git a/llama_stack/providers/registry/eval.py b/llama_stack/providers/registry/eval.py
index b6aaacaa7..f3e42c531 100644
--- a/llama_stack/providers/registry/eval.py
+++ b/llama_stack/providers/registry/eval.py
@@ -26,4 +26,3 @@ def available_providers() -> List[ProviderSpec]:
             ],
         ),
     ]
-
diff --git a/llama_stack/templates/open-benchmark/run.yaml b/llama_stack/templates/open-benchmark/run.yaml
index 6ed8a7a71..d9ca11a84 100644
--- a/llama_stack/templates/open-benchmark/run.yaml
+++ b/llama_stack/templates/open-benchmark/run.yaml
@@ -166,7 +166,18 @@ datasets:
     uri: huggingface://datasets/llamastack/bfcl_v3?split=train
   metadata: {}
   dataset_id: bfcl
-  provider_id: huggingface
+- purpose: eval/messages-answer
+  source:
+    type: uri
+    uri: huggingface://datasets/llamastack/IfEval?split=train
+  metadata: {}
+  dataset_id: ifeval
+- purpose: eval/messages-answer
+  source:
+    type: uri
+    uri: huggingface://datasets/llamastack/docvqa?split=val
+  metadata: {}
+  dataset_id: docvqa
 benchmarks: []
 tool_groups:
 - toolgroup_id: builtin::websearch

From 64388de068fee4a729f8e536cfafd15002137c0f Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:15:08 -0700
Subject: [PATCH 65/73] precommit

---
 llama_stack/apis/eval/eval.py                 | 143 -----------------
 .../scoring_functions/scoring_functions.py    | 148 ------------------
 llama_stack/providers/registry/eval.py        |  28 ----
 3 files changed, 319 deletions(-)
 delete mode 100644 llama_stack/apis/eval/eval.py
 delete mode 100644 llama_stack/apis/scoring_functions/scoring_functions.py
 delete mode 100644 llama_stack/providers/registry/eval.py

diff --git a/llama_stack/apis/eval/eval.py b/llama_stack/apis/eval/eval.py
deleted file mode 100644
index 0e5959c37..000000000
--- a/llama_stack/apis/eval/eval.py
+++ /dev/null
@@ -1,143 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import Any, Dict, List, Literal, Optional, Protocol, Union
-
-from pydantic import BaseModel, Field
-from typing_extensions import Annotated
-
-from llama_stack.apis.agents import AgentConfig
-from llama_stack.apis.common.job_types import Job
-from llama_stack.apis.inference import SamplingParams, SystemMessage
-from llama_stack.apis.scoring import ScoringResult
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
-
-
-@json_schema_type
-class ModelCandidate(BaseModel):
-    """A model candidate for evaluation.
-
-    :param model: The model ID to evaluate.
-    :param sampling_params: The sampling parameters for the model.
-    :param system_message: (Optional) The system message providing instructions or context to the model.
-    """
-
-    type: Literal["model"] = "model"
-    model: str
-    sampling_params: SamplingParams
-    system_message: Optional[SystemMessage] = None
-
-
-@json_schema_type
-class AgentCandidate(BaseModel):
-    """An agent candidate for evaluation.
-
-    :param config: The configuration for the agent candidate.
-    """
-
-    type: Literal["agent"] = "agent"
-    config: AgentConfig
-
-
-EvalCandidate = Annotated[Union[ModelCandidate, AgentCandidate], Field(discriminator="type")]
-register_schema(EvalCandidate, name="EvalCandidate")
-
-
-@json_schema_type
-class BenchmarkConfig(BaseModel):
-    """A benchmark configuration for evaluation.
-
-    :param eval_candidate: The candidate to evaluate.
-    :param scoring_params: Map between scoring function id and parameters for each scoring function you want to run
-    :param num_examples: (Optional) The number of examples to evaluate. If not provided, all examples in the dataset will be evaluated
-    """
-
-    eval_candidate: EvalCandidate
-    scoring_params: Dict[str, ScoringFnParams] = Field(
-        description="Map between scoring function id and parameters for each scoring function you want to run",
-        default_factory=dict,
-    )
-    num_examples: Optional[int] = Field(
-        description="Number of examples to evaluate (useful for testing), if not provided, all examples in the dataset will be evaluated",
-        default=None,
-    )
-    # we could optinally add any specific dataset config here
-
-
-@json_schema_type
-class EvaluateResponse(BaseModel):
-    """The response from an evaluation.
-
-    :param generations: The generations from the evaluation.
-    :param scores: The scores from the evaluation.
-    """
-
-    generations: List[Dict[str, Any]]
-    # each key in the dict is a scoring function name
-    scores: Dict[str, ScoringResult]
-
-
-class Eval(Protocol):
-    """Llama Stack Evaluation API for running evaluations on model and agent candidates."""
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs", method="POST")
-    async def run_eval(
-        self,
-        benchmark_id: str,
-        benchmark_config: BenchmarkConfig,
-    ) -> Job:
-        """Run an evaluation on a benchmark.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param benchmark_config: The configuration for the benchmark.
-        :return: The job that was created to run the evaluation.
-        """
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/evaluations", method="POST")
-    async def evaluate_rows(
-        self,
-        benchmark_id: str,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: List[str],
-        benchmark_config: BenchmarkConfig,
-    ) -> EvaluateResponse:
-        """Evaluate a list of rows on a benchmark.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param input_rows: The rows to evaluate.
-        :param scoring_functions: The scoring functions to use for the evaluation.
-        :param benchmark_config: The configuration for the benchmark.
-        :return: EvaluateResponse object containing generations and scores
-        """
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}", method="GET")
-    async def job_status(self, benchmark_id: str, job_id: str) -> Job:
-        """Get the status of a job.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param job_id: The ID of the job to get the status of.
-        :return: The status of the evaluationjob.
-        """
-        ...
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}", method="DELETE")
-    async def job_cancel(self, benchmark_id: str, job_id: str) -> None:
-        """Cancel a job.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param job_id: The ID of the job to cancel.
-        """
-        ...
-
-    @webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
-    async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
-        """Get the result of a job.
-
-        :param benchmark_id: The ID of the benchmark to run the evaluation on.
-        :param job_id: The ID of the job to get the result of.
-        :return: The result of the job.
-        """
diff --git a/llama_stack/apis/scoring_functions/scoring_functions.py b/llama_stack/apis/scoring_functions/scoring_functions.py
deleted file mode 100644
index 4f85947dd..000000000
--- a/llama_stack/apis/scoring_functions/scoring_functions.py
+++ /dev/null
@@ -1,148 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from enum import Enum
-from typing import (
-    Any,
-    Dict,
-    List,
-    Literal,
-    Optional,
-    Protocol,
-    Union,
-    runtime_checkable,
-)
-
-from pydantic import BaseModel, Field
-from typing_extensions import Annotated
-
-from llama_stack.apis.common.type_system import ParamType
-from llama_stack.apis.resource import Resource, ResourceType
-from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
-
-
-# Perhaps more structure can be imposed on these functions. Maybe they could be associated
-# with standard metrics so they can be rolled up?
-@json_schema_type
-class ScoringFnParamsType(Enum):
-    llm_as_judge = "llm_as_judge"
-    regex_parser = "regex_parser"
-    basic = "basic"
-
-
-@json_schema_type
-class AggregationFunctionType(Enum):
-    average = "average"
-    weighted_average = "weighted_average"
-    median = "median"
-    categorical_count = "categorical_count"
-    accuracy = "accuracy"
-
-
-@json_schema_type
-class LLMAsJudgeScoringFnParams(BaseModel):
-    type: Literal[ScoringFnParamsType.llm_as_judge.value] = ScoringFnParamsType.llm_as_judge.value
-    judge_model: str
-    prompt_template: Optional[str] = None
-    judge_score_regexes: Optional[List[str]] = Field(
-        description="Regexes to extract the answer from generated response",
-        default_factory=list,
-    )
-    aggregation_functions: Optional[List[AggregationFunctionType]] = Field(
-        description="Aggregation functions to apply to the scores of each row",
-        default_factory=list,
-    )
-
-
-@json_schema_type
-class RegexParserScoringFnParams(BaseModel):
-    type: Literal[ScoringFnParamsType.regex_parser.value] = ScoringFnParamsType.regex_parser.value
-    parsing_regexes: Optional[List[str]] = Field(
-        description="Regex to extract the answer from generated response",
-        default_factory=list,
-    )
-    aggregation_functions: Optional[List[AggregationFunctionType]] = Field(
-        description="Aggregation functions to apply to the scores of each row",
-        default_factory=list,
-    )
-
-
-@json_schema_type
-class BasicScoringFnParams(BaseModel):
-    type: Literal[ScoringFnParamsType.basic.value] = ScoringFnParamsType.basic.value
-    aggregation_functions: Optional[List[AggregationFunctionType]] = Field(
-        description="Aggregation functions to apply to the scores of each row",
-        default_factory=list,
-    )
-
-
-ScoringFnParams = Annotated[
-    Union[
-        LLMAsJudgeScoringFnParams,
-        RegexParserScoringFnParams,
-        BasicScoringFnParams,
-    ],
-    Field(discriminator="type"),
-]
-register_schema(ScoringFnParams, name="ScoringFnParams")
-
-
-class CommonScoringFnFields(BaseModel):
-    description: Optional[str] = None
-    metadata: Dict[str, Any] = Field(
-        default_factory=dict,
-        description="Any additional metadata for this definition",
-    )
-    return_type: ParamType = Field(
-        description="The return type of the deterministic function",
-    )
-    params: Optional[ScoringFnParams] = Field(
-        description="The parameters for the scoring function for benchmark eval, these can be overridden for app eval",
-        default=None,
-    )
-
-
-@json_schema_type
-class ScoringFn(CommonScoringFnFields, Resource):
-    type: Literal[ResourceType.scoring_function.value] = ResourceType.scoring_function.value
-
-    @property
-    def scoring_fn_id(self) -> str:
-        return self.identifier
-
-    @property
-    def provider_scoring_fn_id(self) -> str:
-        return self.provider_resource_id
-
-
-class ScoringFnInput(CommonScoringFnFields, BaseModel):
-    scoring_fn_id: str
-    provider_id: Optional[str] = None
-    provider_scoring_fn_id: Optional[str] = None
-
-
-class ListScoringFunctionsResponse(BaseModel):
-    data: List[ScoringFn]
-
-
-@runtime_checkable
-class ScoringFunctions(Protocol):
-    @webmethod(route="/scoring-functions", method="GET")
-    async def list_scoring_functions(self) -> ListScoringFunctionsResponse: ...
-
-    @webmethod(route="/scoring-functions/{scoring_fn_id:path}", method="GET")
-    async def get_scoring_function(self, scoring_fn_id: str, /) -> ScoringFn: ...
-
-    @webmethod(route="/scoring-functions", method="POST")
-    async def register_scoring_function(
-        self,
-        scoring_fn_id: str,
-        description: str,
-        return_type: ParamType,
-        provider_scoring_fn_id: Optional[str] = None,
-        provider_id: Optional[str] = None,
-        params: Optional[ScoringFnParams] = None,
-    ) -> None: ...
diff --git a/llama_stack/providers/registry/eval.py b/llama_stack/providers/registry/eval.py
deleted file mode 100644
index f3e42c531..000000000
--- a/llama_stack/providers/registry/eval.py
+++ /dev/null
@@ -1,28 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import List
-
-from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec
-
-
-def available_providers() -> List[ProviderSpec]:
-    return [
-        InlineProviderSpec(
-            api=Api.eval,
-            provider_type="inline::meta-reference",
-            pip_packages=["tree_sitter", "pythainlp", "langdetect", "emoji", "nltk"],
-            module="llama_stack.providers.inline.eval.meta_reference",
-            config_class="llama_stack.providers.inline.eval.meta_reference.MetaReferenceEvalConfig",
-            api_dependencies=[
-                Api.datasetio,
-                Api.datasets,
-                Api.scoring,
-                Api.inference,
-                Api.agents,
-            ],
-        ),
-    ]

From 2723b051640902b691b5091fa55391b8c2241958 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:17:09 -0700
Subject: [PATCH 66/73] remove aggregation functions

---
 docs/_static/llama-stack-spec.html  | 142 ++--------------------------
 docs/_static/llama-stack-spec.yaml  | 100 --------------------
 llama_stack/apis/graders/graders.py |  27 +-----
 3 files changed, 7 insertions(+), 262 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index ab73dc345..d0b2f8aec 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -6505,36 +6505,11 @@
                         "type": "string",
                         "const": "equality",
                         "default": "equality"
-                    },
-                    "equality": {
-                        "type": "object",
-                        "properties": {
-                            "aggregation_functions": {
-                                "type": "array",
-                                "items": {
-                                    "type": "string",
-                                    "enum": [
-                                        "average",
-                                        "median",
-                                        "categorical_count",
-                                        "accuracy"
-                                    ],
-                                    "title": "AggregationFunctionType",
-                                    "description": "A type of aggregation function."
-                                }
-                            }
-                        },
-                        "additionalProperties": false,
-                        "required": [
-                            "aggregation_functions"
-                        ],
-                        "title": "BasicGraderParams"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "type",
-                    "equality"
+                    "type"
                 ],
                 "title": "EqualityGrader"
             },
@@ -6545,36 +6520,11 @@
                         "type": "string",
                         "const": "factuality",
                         "default": "factuality"
-                    },
-                    "factuality": {
-                        "type": "object",
-                        "properties": {
-                            "aggregation_functions": {
-                                "type": "array",
-                                "items": {
-                                    "type": "string",
-                                    "enum": [
-                                        "average",
-                                        "median",
-                                        "categorical_count",
-                                        "accuracy"
-                                    ],
-                                    "title": "AggregationFunctionType",
-                                    "description": "A type of aggregation function."
-                                }
-                            }
-                        },
-                        "additionalProperties": false,
-                        "required": [
-                            "aggregation_functions"
-                        ],
-                        "title": "BasicGraderParams"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "type",
-                    "factuality"
+                    "type"
                 ],
                 "title": "FactualityGrader"
             },
@@ -6585,36 +6535,11 @@
                         "type": "string",
                         "const": "faithfulness",
                         "default": "faithfulness"
-                    },
-                    "faithfulness": {
-                        "type": "object",
-                        "properties": {
-                            "aggregation_functions": {
-                                "type": "array",
-                                "items": {
-                                    "type": "string",
-                                    "enum": [
-                                        "average",
-                                        "median",
-                                        "categorical_count",
-                                        "accuracy"
-                                    ],
-                                    "title": "AggregationFunctionType",
-                                    "description": "A type of aggregation function."
-                                }
-                            }
-                        },
-                        "additionalProperties": false,
-                        "required": [
-                            "aggregation_functions"
-                        ],
-                        "title": "BasicGraderParams"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "type",
-                    "faithfulness"
+                    "type"
                 ],
                 "title": "FaithfulnessGrader"
             },
@@ -6733,28 +6658,13 @@
                                 "items": {
                                     "type": "string"
                                 }
-                            },
-                            "aggregation_functions": {
-                                "type": "array",
-                                "items": {
-                                    "type": "string",
-                                    "enum": [
-                                        "average",
-                                        "median",
-                                        "categorical_count",
-                                        "accuracy"
-                                    ],
-                                    "title": "AggregationFunctionType",
-                                    "description": "A type of aggregation function."
-                                }
                             }
                         },
                         "additionalProperties": false,
                         "required": [
                             "model",
                             "prompt",
-                            "score_regexes",
-                            "aggregation_functions"
+                            "score_regexes"
                         ],
                         "title": "LlmGraderParams"
                     }
@@ -6782,26 +6692,11 @@
                                 "items": {
                                     "type": "string"
                                 }
-                            },
-                            "aggregation_functions": {
-                                "type": "array",
-                                "items": {
-                                    "type": "string",
-                                    "enum": [
-                                        "average",
-                                        "median",
-                                        "categorical_count",
-                                        "accuracy"
-                                    ],
-                                    "title": "AggregationFunctionType",
-                                    "description": "A type of aggregation function."
-                                }
                             }
                         },
                         "additionalProperties": false,
                         "required": [
-                            "parsing_regexes",
-                            "aggregation_functions"
+                            "parsing_regexes"
                         ],
                         "title": "RegexParserGraderParams"
                     }
@@ -6820,36 +6715,11 @@
                         "type": "string",
                         "const": "subset_of",
                         "default": "subset_of"
-                    },
-                    "subset_of": {
-                        "type": "object",
-                        "properties": {
-                            "aggregation_functions": {
-                                "type": "array",
-                                "items": {
-                                    "type": "string",
-                                    "enum": [
-                                        "average",
-                                        "median",
-                                        "categorical_count",
-                                        "accuracy"
-                                    ],
-                                    "title": "AggregationFunctionType",
-                                    "description": "A type of aggregation function."
-                                }
-                            }
-                        },
-                        "additionalProperties": false,
-                        "required": [
-                            "aggregation_functions"
-                        ],
-                        "title": "BasicGraderParams"
                     }
                 },
                 "additionalProperties": false,
                 "required": [
-                    "type",
-                    "subset_of"
+                    "type"
                 ],
                 "title": "SubsetOfGrader"
             },
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index 66044bb65..86e9c1c36 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -4557,28 +4557,9 @@ components:
           type: string
           const: equality
           default: equality
-        equality:
-          type: object
-          properties:
-            aggregation_functions:
-              type: array
-              items:
-                type: string
-                enum:
-                  - average
-                  - median
-                  - categorical_count
-                  - accuracy
-                title: AggregationFunctionType
-                description: A type of aggregation function.
-          additionalProperties: false
-          required:
-            - aggregation_functions
-          title: BasicGraderParams
       additionalProperties: false
       required:
         - type
-        - equality
       title: EqualityGrader
     FactualityGrader:
       type: object
@@ -4587,28 +4568,9 @@ components:
           type: string
           const: factuality
           default: factuality
-        factuality:
-          type: object
-          properties:
-            aggregation_functions:
-              type: array
-              items:
-                type: string
-                enum:
-                  - average
-                  - median
-                  - categorical_count
-                  - accuracy
-                title: AggregationFunctionType
-                description: A type of aggregation function.
-          additionalProperties: false
-          required:
-            - aggregation_functions
-          title: BasicGraderParams
       additionalProperties: false
       required:
         - type
-        - factuality
       title: FactualityGrader
     FaithfulnessGrader:
       type: object
@@ -4617,28 +4579,9 @@ components:
           type: string
           const: faithfulness
           default: faithfulness
-        faithfulness:
-          type: object
-          properties:
-            aggregation_functions:
-              type: array
-              items:
-                type: string
-                enum:
-                  - average
-                  - median
-                  - categorical_count
-                  - accuracy
-                title: AggregationFunctionType
-                description: A type of aggregation function.
-          additionalProperties: false
-          required:
-            - aggregation_functions
-          title: BasicGraderParams
       additionalProperties: false
       required:
         - type
-        - faithfulness
       title: FaithfulnessGrader
     Grader:
       type: object
@@ -4711,23 +4654,11 @@ components:
               type: array
               items:
                 type: string
-            aggregation_functions:
-              type: array
-              items:
-                type: string
-                enum:
-                  - average
-                  - median
-                  - categorical_count
-                  - accuracy
-                title: AggregationFunctionType
-                description: A type of aggregation function.
           additionalProperties: false
           required:
             - model
             - prompt
             - score_regexes
-            - aggregation_functions
           title: LlmGraderParams
       additionalProperties: false
       required:
@@ -4748,21 +4679,9 @@ components:
               type: array
               items:
                 type: string
-            aggregation_functions:
-              type: array
-              items:
-                type: string
-                enum:
-                  - average
-                  - median
-                  - categorical_count
-                  - accuracy
-                title: AggregationFunctionType
-                description: A type of aggregation function.
           additionalProperties: false
           required:
             - parsing_regexes
-            - aggregation_functions
           title: RegexParserGraderParams
       additionalProperties: false
       required:
@@ -4776,28 +4695,9 @@ components:
           type: string
           const: subset_of
           default: subset_of
-        subset_of:
-          type: object
-          properties:
-            aggregation_functions:
-              type: array
-              items:
-                type: string
-                enum:
-                  - average
-                  - median
-                  - categorical_count
-                  - accuracy
-                title: AggregationFunctionType
-                description: A type of aggregation function.
-          additionalProperties: false
-          required:
-            - aggregation_functions
-          title: BasicGraderParams
       additionalProperties: false
       required:
         - type
-        - subset_of
       title: SubsetOfGrader
     Model:
       type: object
diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
index 31e03b6d1..76abf1998 100644
--- a/llama_stack/apis/graders/graders.py
+++ b/llama_stack/apis/graders/graders.py
@@ -13,8 +13,8 @@ from typing import (
     Literal,
     Optional,
     Protocol,
-    Union,
     runtime_checkable,
+    Union,
 )
 
 from pydantic import BaseModel, Field
@@ -63,35 +63,14 @@ class GraderTypeInfo(BaseModel):
     )
 
 
-class AggregationFunctionType(Enum):
-    """
-    A type of aggregation function.
-    :cvar average: Average the scores of each row.
-    :cvar median: Median the scores of each row.
-    :cvar categorical_count: Count the number of rows that match each category.
-    :cvar accuracy: Number of correct results over total results.
-    """
-
-    average = "average"
-    median = "median"
-    categorical_count = "categorical_count"
-    accuracy = "accuracy"
-
-
-class BasicGraderParams(BaseModel):
-    aggregation_functions: List[AggregationFunctionType]
-
-
 class LlmGraderParams(BaseModel):
     model: str
     prompt: str
     score_regexes: List[str]
-    aggregation_functions: List[AggregationFunctionType]
 
 
 class RegexParserGraderParams(BaseModel):
     parsing_regexes: List[str]
-    aggregation_functions: List[AggregationFunctionType]
 
 
 @json_schema_type
@@ -109,25 +88,21 @@ class RegexParserGrader(BaseModel):
 @json_schema_type
 class EqualityGrader(BaseModel):
     type: Literal["equality"] = "equality"
-    equality: BasicGraderParams
 
 
 @json_schema_type
 class SubsetOfGrader(BaseModel):
     type: Literal["subset_of"] = "subset_of"
-    subset_of: BasicGraderParams
 
 
 @json_schema_type
 class FactualityGrader(BaseModel):
     type: Literal["factuality"] = "factuality"
-    factuality: BasicGraderParams
 
 
 @json_schema_type
 class FaithfulnessGrader(BaseModel):
     type: Literal["faithfulness"] = "faithfulness"
-    faithfulness: BasicGraderParams
 
 
 GraderDefinition = register_schema(

From c2eb47d7e6fa2f014a4f3eb426217865f0e1cb6e Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:22:32 -0700
Subject: [PATCH 67/73] precommit

---
 llama_stack/apis/graders/graders.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/llama_stack/apis/graders/graders.py b/llama_stack/apis/graders/graders.py
index 76abf1998..a1b238449 100644
--- a/llama_stack/apis/graders/graders.py
+++ b/llama_stack/apis/graders/graders.py
@@ -13,8 +13,8 @@ from typing import (
     Literal,
     Optional,
     Protocol,
-    runtime_checkable,
     Union,
+    runtime_checkable,
 )
 
 from pydantic import BaseModel, Field
@@ -23,8 +23,6 @@ from llama_stack.apis.datasets import DatasetPurpose
 from llama_stack.apis.resource import Resource
 from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
 
-from .graders import *  # noqa: F401 F403
-
 
 class GraderType(Enum):
     """

From 5038f0e376e99342538de31d2dc706f15eb61857 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:27:56 -0700
Subject: [PATCH 68/73] precommit

---
 llama_stack/providers/inline/evaluation/__init__.py | 5 +++++
 1 file changed, 5 insertions(+)
 create mode 100644 llama_stack/providers/inline/evaluation/__init__.py

diff --git a/llama_stack/providers/inline/evaluation/__init__.py b/llama_stack/providers/inline/evaluation/__init__.py
new file mode 100644
index 000000000..756f351d8
--- /dev/null
+++ b/llama_stack/providers/inline/evaluation/__init__.py
@@ -0,0 +1,5 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.

From 81bc051411d20bd1368f6f8acf5f54350967605c Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:32:06 -0700
Subject: [PATCH 69/73] fix precommit

---
 llama_stack/providers/registry/evaluation.py | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/llama_stack/providers/registry/evaluation.py b/llama_stack/providers/registry/evaluation.py
index 2481cea5a..044b1350b 100644
--- a/llama_stack/providers/registry/evaluation.py
+++ b/llama_stack/providers/registry/evaluation.py
@@ -23,14 +23,12 @@ def available_providers() -> List[ProviderSpec]:
             ]
             + kvstore_dependencies(),
             module="llama_stack.providers.inline.evaluation.meta_reference",
-            config_class="llama_stack.providers.inline.evaluation.meta_reference.MetaReferenceEvaluationImplConfig",
+            config_class="llama_stack.providers.inline.evaluation.meta_reference.MetaReferenceEvaluationConfig",
             api_dependencies=[
                 Api.inference,
-                Api.safety,
-                Api.vector_io,
-                Api.vector_dbs,
-                Api.tool_runtime,
-                Api.tool_groups,
+                Api.agents,
+                Api.datasets,
+                Api.datasetio,
             ],
         ),
     ]

From 97e7717c9b5b733aea1f6af09a8814bd2dd29675 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:42:50 -0700
Subject: [PATCH 70/73] fix precommit

---
 llama_stack/distribution/resolver.py         |  4 ++
 llama_stack/distribution/routers/__init__.py |  2 +
 llama_stack/distribution/routers/routers.py  | 68 +++++++++++++++++++-
 3 files changed, 71 insertions(+), 3 deletions(-)

diff --git a/llama_stack/distribution/resolver.py b/llama_stack/distribution/resolver.py
index 3a6140478..8f07b7d05 100644
--- a/llama_stack/distribution/resolver.py
+++ b/llama_stack/distribution/resolver.py
@@ -11,6 +11,7 @@ from llama_stack.apis.agents import Agents
 from llama_stack.apis.benchmarks import Benchmarks
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.datasets import Datasets
+from llama_stack.apis.evaluation import Evaluation
 from llama_stack.apis.inference import Inference
 from llama_stack.apis.inspect import Inspect
 from llama_stack.apis.models import Models
@@ -35,6 +36,7 @@ from llama_stack.distribution.utils.dynamic import instantiate_class_type
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import (
     Api,
+    BenchmarksProtocolPrivate,
     DatasetsProtocolPrivate,
     InlineProviderSpec,
     ModelsProtocolPrivate,
@@ -71,6 +73,7 @@ def api_protocol_map() -> Dict[Api, Any]:
         Api.post_training: PostTraining,
         Api.tool_groups: ToolGroups,
         Api.tool_runtime: ToolRuntime,
+        Api.evaluation: Evaluation,
     }
 
 
@@ -81,6 +84,7 @@ def additional_protocols_map() -> Dict[Api, Any]:
         Api.vector_io: (VectorDBsProtocolPrivate, VectorDBs, Api.vector_dbs),
         Api.safety: (ShieldsProtocolPrivate, Shields, Api.shields),
         Api.datasetio: (DatasetsProtocolPrivate, Datasets, Api.datasets),
+        Api.evaluation: (BenchmarksProtocolPrivate, Benchmarks, Api.benchmarks),
     }
 
 
diff --git a/llama_stack/distribution/routers/__init__.py b/llama_stack/distribution/routers/__init__.py
index a9a4f87c8..69b384bc4 100644
--- a/llama_stack/distribution/routers/__init__.py
+++ b/llama_stack/distribution/routers/__init__.py
@@ -46,6 +46,7 @@ async def get_routing_table_impl(
 async def get_auto_router_impl(api: Api, routing_table: RoutingTable, deps: Dict[str, Any]) -> Any:
     from .routers import (
         DatasetIORouter,
+        EvaluationRouter,
         InferenceRouter,
         SafetyRouter,
         ToolRuntimeRouter,
@@ -58,6 +59,7 @@ async def get_auto_router_impl(api: Api, routing_table: RoutingTable, deps: Dict
         "safety": SafetyRouter,
         "datasetio": DatasetIORouter,
         "tool_runtime": ToolRuntimeRouter,
+        "evaluation": EvaluationRouter,
     }
     api_to_deps = {
         "inference": {"telemetry": Api.telemetry},
diff --git a/llama_stack/distribution/routers/routers.py b/llama_stack/distribution/routers/routers.py
index 6c77d09e8..17ef1626f 100644
--- a/llama_stack/distribution/routers/routers.py
+++ b/llama_stack/distribution/routers/routers.py
@@ -7,13 +7,21 @@
 import time
 from typing import Any, AsyncGenerator, AsyncIterator, Dict, List, Optional, Union
 
+from llama_stack.apis.benchmarks import Benchmark
 from llama_stack.apis.common.content_types import (
     URL,
     InterleavedContent,
     InterleavedContentItem,
 )
 from llama_stack.apis.datasetio import DatasetIO, IterrowsResponse
-from llama_stack.apis.datasets import DatasetPurpose, DataSource
+from llama_stack.apis.datasets import Dataset, DatasetPurpose, DataSource
+from llama_stack.apis.evaluation import (
+    Evaluation,
+    EvaluationCandidate,
+    EvaluationJob,
+    EvaluationResponse,
+    EvaluationTask,
+)
 from llama_stack.apis.inference import (
     ChatCompletionResponse,
     ChatCompletionResponseEventType,
@@ -474,11 +482,11 @@ class DatasetIORouter(DatasetIO):
         source: DataSource,
         metadata: Optional[Dict[str, Any]] = None,
         dataset_id: Optional[str] = None,
-    ) -> None:
+    ) -> Dataset:
         logger.debug(
             f"DatasetIORouter.register_dataset: {purpose=} {source=} {metadata=} {dataset_id=}",
         )
-        await self.routing_table.register_dataset(
+        return await self.routing_table.register_dataset(
             purpose=purpose,
             source=source,
             metadata=metadata,
@@ -573,3 +581,57 @@ class ToolRuntimeRouter(ToolRuntime):
     ) -> List[ToolDef]:
         logger.debug(f"ToolRuntimeRouter.list_runtime_tools: {tool_group_id}")
         return await self.routing_table.get_provider_impl(tool_group_id).list_tools(tool_group_id, mcp_endpoint)
+
+
+class EvaluationRouter(Evaluation):
+    def __init__(
+        self,
+        routing_table: RoutingTable,
+    ) -> None:
+        logger.debug("Initializing EvaluationRouter")
+        self.routing_table = routing_table
+
+    async def initialize(self) -> None:
+        logger.debug("EvaluationRouter.initialize")
+        pass
+
+    async def shutdown(self) -> None:
+        logger.debug("EvaluationRouter.shutdown")
+        pass
+
+    async def register_benchmark(
+        self,
+        dataset_id: str,
+        grader_ids: List[str],
+        benchmark_id: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+    ) -> Benchmark:
+        logger.debug(
+            f"EvaluationRouter.register_benchmark: {benchmark_id=} {dataset_id=} {grader_ids=} {metadata=}",
+        )
+        return await self.routing_table.register_benchmark(
+            benchmark_id=benchmark_id,
+            dataset_id=dataset_id,
+            grader_ids=grader_ids,
+            metadata=metadata,
+        )
+
+    async def run(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationJob:
+        raise NotImplementedError("Run is not implemented yet")
+
+    async def run_sync(
+        self,
+        task: EvaluationTask,
+        candidate: EvaluationCandidate,
+    ) -> EvaluationResponse:
+        raise NotImplementedError("Run sync is not implemented yet")
+
+    async def grade(self, task: EvaluationTask) -> EvaluationJob:
+        raise NotImplementedError("Grade is not implemented yet")
+
+    async def grade_sync(self, task: EvaluationTask) -> EvaluationResponse:
+        raise NotImplementedError("Grade sync is not implemented yet")

From 7f12ea290fd402f42ed83e41adce71b8b53503fa Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Sun, 23 Mar 2025 16:51:17 -0700
Subject: [PATCH 71/73] feat(eval api): (2.3/n) remove scoring / eval impls +
 benchmarks (#1766)

# What does this PR do?
- Remove `/eval` and `/scoring` impls
- Clean up benchmarks. The benchmarks exists in the `llama-stack-evals`
repo.
- Rest of grading functions will be added in follow up PR.

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan
- CI

[//]: # (## Documentation)
---
 distributions/dependencies.json               |   32 -
 llama_stack/providers/inline/eval/__init__.py |    5 -
 .../inline/eval/meta_reference/__init__.py    |   27 -
 .../inline/eval/meta_reference/config.py      |   26 -
 .../inline/eval/meta_reference/eval.py        |  233 --
 .../providers/inline/scoring/__init__.py      |    5 -
 .../inline/scoring/basic/__init__.py          |   25 -
 .../providers/inline/scoring/basic/config.py  |   14 -
 .../providers/inline/scoring/basic/scoring.py |  128 -
 .../scoring/basic/scoring_fn/__init__.py      |    5 -
 .../basic/scoring_fn/bfcl_scoring_fn.py       |   93 -
 .../basic/scoring_fn/docvqa_scoring_fn.py     |  240 --
 .../basic/scoring_fn/equality_scoring_fn.py   |   41 -
 .../basic/scoring_fn/fn_defs/__init__.py      |    5 -
 .../scoring/basic/scoring_fn/fn_defs/bfcl.py  |   21 -
 .../basic/scoring_fn/fn_defs/docvqa.py        |   21 -
 .../basic/scoring_fn/fn_defs/equality.py      |   21 -
 .../basic/scoring_fn/fn_defs/ifeval.py        |   23 -
 .../fn_defs/regex_parser_math_response.py     |   27 -
 .../regex_parser_multiple_choice_answer.py    |   71 -
 .../basic/scoring_fn/fn_defs/subset_of.py     |   21 -
 .../basic/scoring_fn/ifeval_scoring_fn.py     |   80 -
 .../regex_parser_math_response_scoring_fn.py  |   66 -
 .../scoring_fn/regex_parser_scoring_fn.py     |   58 -
 .../basic/scoring_fn/subset_of_scoring_fn.py  |   38 -
 .../scoring/basic/utils/bfcl/__init__.py      |    5 -
 .../scoring/basic/utils/bfcl/ast_parser.py    |  296 --
 .../scoring/basic/utils/bfcl/checker.py       |  989 -----
 .../scoring/basic/utils/bfcl/tree_sitter.py   |   40 -
 .../scoring/basic/utils/ifeval_utils.py       | 3319 -----------------
 .../inline/scoring/basic/utils/math_utils.py  |  330 --
 .../inline/scoring/braintrust/__init__.py     |   27 -
 .../inline/scoring/braintrust/braintrust.py   |  232 --
 .../inline/scoring/braintrust/config.py       |   21 -
 .../scoring/braintrust/scoring_fn/__init__.py |    5 -
 .../braintrust/scoring_fn/fn_defs/__init__.py |    5 -
 .../scoring_fn/fn_defs/answer_correctness.py  |   24 -
 .../scoring_fn/fn_defs/answer_relevancy.py    |   24 -
 .../scoring_fn/fn_defs/answer_similarity.py   |   24 -
 .../fn_defs/context_entity_recall.py          |   24 -
 .../scoring_fn/fn_defs/context_precision.py   |   24 -
 .../scoring_fn/fn_defs/context_recall.py      |   24 -
 .../scoring_fn/fn_defs/context_relevancy.py   |   23 -
 .../scoring_fn/fn_defs/factuality.py          |   24 -
 .../scoring_fn/fn_defs/faithfulness.py        |   24 -
 .../inline/scoring/llm_as_judge/__init__.py   |   21 -
 .../inline/scoring/llm_as_judge/config.py     |   14 -
 .../inline/scoring/llm_as_judge/scoring.py    |  110 -
 .../llm_as_judge/scoring_fn/__init__.py       |    5 -
 .../scoring_fn/fn_defs/__init__.py            |    5 -
 .../fn_defs/llm_as_judge_405b_simpleqa.py     |   96 -
 .../scoring_fn/fn_defs/llm_as_judge_base.py   |   20 -
 .../scoring_fn/llm_as_judge_scoring_fn.py     |   79 -
 .../templates/open-benchmark/__init__.py      |    7 -
 .../templates/open-benchmark/build.yaml       |   30 -
 .../open-benchmark/open_benchmark.py          |  304 --
 llama_stack/templates/open-benchmark/run.yaml |  190 -
 57 files changed, 7691 deletions(-)
 delete mode 100644 llama_stack/providers/inline/eval/__init__.py
 delete mode 100644 llama_stack/providers/inline/eval/meta_reference/__init__.py
 delete mode 100644 llama_stack/providers/inline/eval/meta_reference/config.py
 delete mode 100644 llama_stack/providers/inline/eval/meta_reference/eval.py
 delete mode 100644 llama_stack/providers/inline/scoring/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/config.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/bfcl_scoring_fn.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/docvqa_scoring_fn.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/equality_scoring_fn.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/bfcl.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/docvqa.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/equality.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/ifeval.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_math_response.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_multiple_choice_answer.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/subset_of.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/ifeval_scoring_fn.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_math_response_scoring_fn.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_scoring_fn.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/scoring_fn/subset_of_scoring_fn.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/utils/bfcl/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/utils/bfcl/ast_parser.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/utils/bfcl/checker.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/utils/bfcl/tree_sitter.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/utils/ifeval_utils.py
 delete mode 100644 llama_stack/providers/inline/scoring/basic/utils/math_utils.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/braintrust.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/config.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_correctness.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_relevancy.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_similarity.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_entity_recall.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_precision.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_recall.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_relevancy.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/factuality.py
 delete mode 100644 llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/faithfulness.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/config.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/__init__.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_405b_simpleqa.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_base.py
 delete mode 100644 llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py
 delete mode 100644 llama_stack/templates/open-benchmark/__init__.py
 delete mode 100644 llama_stack/templates/open-benchmark/build.yaml
 delete mode 100644 llama_stack/templates/open-benchmark/open_benchmark.py
 delete mode 100644 llama_stack/templates/open-benchmark/run.yaml

diff --git a/distributions/dependencies.json b/distributions/dependencies.json
index 1767523d6..15826d40b 100644
--- a/distributions/dependencies.json
+++ b/distributions/dependencies.json
@@ -426,38 +426,6 @@
     "transformers",
     "uvicorn"
   ],
-  "open-benchmark": [
-    "aiosqlite",
-    "blobfile",
-    "chardet",
-    "chromadb-client",
-    "datasets",
-    "fastapi",
-    "fire",
-    "httpx",
-    "litellm",
-    "matplotlib",
-    "mcp",
-    "nltk",
-    "numpy",
-    "opentelemetry-exporter-otlp-proto-http",
-    "opentelemetry-sdk",
-    "pandas",
-    "pillow",
-    "psycopg2-binary",
-    "pymongo",
-    "pypdf",
-    "redis",
-    "requests",
-    "scikit-learn",
-    "scipy",
-    "sentencepiece",
-    "sqlite-vec",
-    "together",
-    "tqdm",
-    "transformers",
-    "uvicorn"
-  ],
   "passthrough": [
     "aiosqlite",
     "blobfile",
diff --git a/llama_stack/providers/inline/eval/__init__.py b/llama_stack/providers/inline/eval/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/eval/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/eval/meta_reference/__init__.py b/llama_stack/providers/inline/eval/meta_reference/__init__.py
deleted file mode 100644
index 576a5682b..000000000
--- a/llama_stack/providers/inline/eval/meta_reference/__init__.py
+++ /dev/null
@@ -1,27 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict
-
-from llama_stack.distribution.datatypes import Api
-
-from .config import MetaReferenceEvalConfig
-
-
-async def get_provider_impl(
-    config: MetaReferenceEvalConfig,
-    deps: Dict[Api, Any],
-):
-    from .eval import MetaReferenceEvalImpl
-
-    impl = MetaReferenceEvalImpl(
-        config,
-        deps[Api.datasetio],
-        deps[Api.datasets],
-        deps[Api.inference],
-        deps[Api.agents],
-    )
-    await impl.initialize()
-    return impl
diff --git a/llama_stack/providers/inline/eval/meta_reference/config.py b/llama_stack/providers/inline/eval/meta_reference/config.py
deleted file mode 100644
index 5b2bec259..000000000
--- a/llama_stack/providers/inline/eval/meta_reference/config.py
+++ /dev/null
@@ -1,26 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict
-
-from pydantic import BaseModel
-
-from llama_stack.providers.utils.kvstore.config import (
-    KVStoreConfig,
-    SqliteKVStoreConfig,
-)
-
-
-class MetaReferenceEvalConfig(BaseModel):
-    kvstore: KVStoreConfig
-
-    @classmethod
-    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
-        return {
-            "kvstore": SqliteKVStoreConfig.sample_run_config(
-                __distro_dir__=__distro_dir__,
-                db_name="meta_reference_eval.db",
-            )
-        }
diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py
deleted file mode 100644
index 6940ad743..000000000
--- a/llama_stack/providers/inline/eval/meta_reference/eval.py
+++ /dev/null
@@ -1,233 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-import json
-from typing import Any, Dict, List
-
-from tqdm import tqdm
-
-from llama_stack.apis.agents import Agents, StepType
-from llama_stack.apis.benchmarks import Benchmark
-from llama_stack.apis.datasetio import DatasetIO
-from llama_stack.apis.datasets import Datasets
-from llama_stack.apis.inference import Inference, SystemMessage, UserMessage
-from llama_stack.providers.datatypes import BenchmarksProtocolPrivate
-from llama_stack.providers.inline.agents.meta_reference.agent_instance import (
-    MEMORY_QUERY_TOOL,
-)
-from llama_stack.providers.utils.common.data_schema_validator import ColumnName
-from llama_stack.providers.utils.kvstore import kvstore_impl
-
-from .....apis.common.job_types import Job, JobStatus
-from .....apis.eval.eval import BenchmarkConfig, Eval, EvaluateResponse
-from .config import MetaReferenceEvalConfig
-
-EVAL_TASKS_PREFIX = "benchmarks:"
-
-
-class MetaReferenceEvalImpl(
-    Eval,
-    BenchmarksProtocolPrivate,
-):
-    def __init__(
-        self,
-        config: MetaReferenceEvalConfig,
-        datasetio_api: DatasetIO,
-        datasets_api: Datasets,
-        inference_api: Inference,
-        agents_api: Agents,
-    ) -> None:
-        self.config = config
-        self.datasetio_api = datasetio_api
-        self.datasets_api = datasets_api
-        # TODO(xiyan): this implementation will be refactored
-        self.scoring_api = None
-        self.inference_api = inference_api
-        self.agents_api = agents_api
-
-        # TODO: assume sync job, will need jobs API for async scheduling
-        self.jobs = {}
-
-        self.benchmarks = {}
-
-    async def initialize(self) -> None:
-        self.kvstore = await kvstore_impl(self.config.kvstore)
-        # Load existing benchmarks from kvstore
-        start_key = EVAL_TASKS_PREFIX
-        end_key = f"{EVAL_TASKS_PREFIX}\xff"
-        stored_benchmarks = await self.kvstore.range(start_key, end_key)
-
-        for benchmark in stored_benchmarks:
-            benchmark = Benchmark.model_validate_json(benchmark)
-            self.benchmarks[benchmark.identifier] = benchmark
-
-    async def shutdown(self) -> None: ...
-
-    async def register_benchmark(self, task_def: Benchmark) -> None:
-        # Store in kvstore
-        key = f"{EVAL_TASKS_PREFIX}{task_def.identifier}"
-        await self.kvstore.set(
-            key=key,
-            value=task_def.model_dump_json(),
-        )
-        self.benchmarks[task_def.identifier] = task_def
-
-    async def run_eval(
-        self,
-        benchmark_id: str,
-        benchmark_config: BenchmarkConfig,
-    ) -> Job:
-        task_def = self.benchmarks[benchmark_id]
-        dataset_id = task_def.dataset_id
-        scoring_functions = task_def.scoring_functions
-
-        # TODO (xiyan): validate dataset schema
-        # dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-
-        all_rows = await self.datasetio_api.iterrows(
-            dataset_id=dataset_id,
-            limit=(-1 if benchmark_config.num_examples is None else benchmark_config.num_examples),
-        )
-        res = await self.evaluate_rows(
-            benchmark_id=benchmark_id,
-            input_rows=all_rows.data,
-            scoring_functions=scoring_functions,
-            benchmark_config=benchmark_config,
-        )
-
-        # TODO: currently needs to wait for generation before returning
-        # need job scheduler queue (ray/celery) w/ jobs api
-        job_id = str(len(self.jobs))
-        self.jobs[job_id] = res
-        return Job(job_id=job_id, status=JobStatus.completed)
-
-    async def _run_agent_generation(
-        self, input_rows: List[Dict[str, Any]], benchmark_config: BenchmarkConfig
-    ) -> List[Dict[str, Any]]:
-        candidate = benchmark_config.eval_candidate
-        create_response = await self.agents_api.create_agent(candidate.config)
-        agent_id = create_response.agent_id
-
-        generations = []
-        for i, x in tqdm(enumerate(input_rows)):
-            assert ColumnName.chat_completion_input.value in x, "Invalid input row"
-            input_messages = json.loads(x[ColumnName.chat_completion_input.value])
-            input_messages = [UserMessage(**x) for x in input_messages if x["role"] == "user"]
-
-            # NOTE: only single-turn agent generation is supported. Create a new session for each input row
-            session_create_response = await self.agents_api.create_agent_session(agent_id, f"session-{i}")
-            session_id = session_create_response.session_id
-
-            turn_request = dict(
-                agent_id=agent_id,
-                session_id=session_id,
-                messages=input_messages,
-                stream=True,
-            )
-            turn_response = [chunk async for chunk in await self.agents_api.create_agent_turn(**turn_request)]
-            final_event = turn_response[-1].event.payload
-
-            # check if there's a memory retrieval step and extract the context
-            memory_rag_context = None
-            for step in final_event.turn.steps:
-                if step.step_type == StepType.tool_execution.value:
-                    for tool_response in step.tool_responses:
-                        if tool_response.tool_name == MEMORY_QUERY_TOOL:
-                            memory_rag_context = " ".join(x.text for x in tool_response.content)
-
-            agent_generation = {}
-            agent_generation[ColumnName.generated_answer.value] = final_event.turn.output_message.content
-            if memory_rag_context:
-                agent_generation[ColumnName.context.value] = memory_rag_context
-
-            generations.append(agent_generation)
-
-        return generations
-
-    async def _run_model_generation(
-        self, input_rows: List[Dict[str, Any]], benchmark_config: BenchmarkConfig
-    ) -> List[Dict[str, Any]]:
-        candidate = benchmark_config.eval_candidate
-        assert candidate.sampling_params.max_tokens is not None, "SamplingParams.max_tokens must be provided"
-
-        generations = []
-        for x in tqdm(input_rows):
-            if ColumnName.completion_input.value in x:
-                input_content = json.loads(x[ColumnName.completion_input.value])
-                response = await self.inference_api.completion(
-                    model=candidate.model,
-                    content=input_content,
-                    sampling_params=candidate.sampling_params,
-                )
-                generations.append({ColumnName.generated_answer.value: response.completion_message.content})
-            elif ColumnName.chat_completion_input.value in x:
-                chat_completion_input_json = json.loads(x[ColumnName.chat_completion_input.value])
-                input_messages = [UserMessage(**x) for x in chat_completion_input_json if x["role"] == "user"]
-                messages = []
-                if candidate.system_message:
-                    messages.append(candidate.system_message)
-                messages += [SystemMessage(**x) for x in chat_completion_input_json if x["role"] == "system"]
-                messages += input_messages
-                response = await self.inference_api.chat_completion(
-                    model_id=candidate.model,
-                    messages=messages,
-                    sampling_params=candidate.sampling_params,
-                )
-                generations.append({ColumnName.generated_answer.value: response.completion_message.content})
-            else:
-                raise ValueError("Invalid input row")
-
-        return generations
-
-    async def evaluate_rows(
-        self,
-        benchmark_id: str,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: List[str],
-        benchmark_config: BenchmarkConfig,
-    ) -> EvaluateResponse:
-        candidate = benchmark_config.eval_candidate
-        if candidate.type == "agent":
-            generations = await self._run_agent_generation(input_rows, benchmark_config)
-        elif candidate.type == "model":
-            generations = await self._run_model_generation(input_rows, benchmark_config)
-        else:
-            raise ValueError(f"Invalid candidate type: {candidate.type}")
-
-        # scoring with generated_answer
-        score_input_rows = [
-            input_r | generated_r for input_r, generated_r in zip(input_rows, generations, strict=False)
-        ]
-
-        if benchmark_config.scoring_params is not None:
-            scoring_functions_dict = {
-                scoring_fn_id: benchmark_config.scoring_params.get(scoring_fn_id, None)
-                for scoring_fn_id in scoring_functions
-            }
-        else:
-            scoring_functions_dict = {scoring_fn_id: None for scoring_fn_id in scoring_functions}
-
-        score_response = await self.scoring_api.score(
-            input_rows=score_input_rows, scoring_functions=scoring_functions_dict
-        )
-
-        return EvaluateResponse(generations=generations, scores=score_response.results)
-
-    async def job_status(self, benchmark_id: str, job_id: str) -> Job:
-        if job_id in self.jobs:
-            return Job(job_id=job_id, status=JobStatus.completed)
-
-        raise ValueError(f"Job {job_id} not found")
-
-    async def job_cancel(self, benchmark_id: str, job_id: str) -> None:
-        raise NotImplementedError("Job cancel is not implemented yet")
-
-    async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
-        job = await self.job_status(benchmark_id, job_id)
-        status = job.status
-        if not status or status != JobStatus.completed:
-            raise ValueError(f"Job is not completed, Status: {status.value}")
-
-        return self.jobs[job_id]
diff --git a/llama_stack/providers/inline/scoring/__init__.py b/llama_stack/providers/inline/scoring/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/basic/__init__.py b/llama_stack/providers/inline/scoring/basic/__init__.py
deleted file mode 100644
index 4898b973a..000000000
--- a/llama_stack/providers/inline/scoring/basic/__init__.py
+++ /dev/null
@@ -1,25 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict
-
-from llama_stack.distribution.datatypes import Api
-
-from .config import BasicScoringConfig
-
-
-async def get_provider_impl(
-    config: BasicScoringConfig,
-    deps: Dict[Api, Any],
-):
-    from .scoring import BasicScoringImpl
-
-    impl = BasicScoringImpl(
-        config,
-        deps[Api.datasetio],
-        deps[Api.datasets],
-    )
-    await impl.initialize()
-    return impl
diff --git a/llama_stack/providers/inline/scoring/basic/config.py b/llama_stack/providers/inline/scoring/basic/config.py
deleted file mode 100644
index 5866be359..000000000
--- a/llama_stack/providers/inline/scoring/basic/config.py
+++ /dev/null
@@ -1,14 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict
-
-from pydantic import BaseModel
-
-
-class BasicScoringConfig(BaseModel):
-    @classmethod
-    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
-        return {}
diff --git a/llama_stack/providers/inline/scoring/basic/scoring.py b/llama_stack/providers/inline/scoring/basic/scoring.py
deleted file mode 100644
index 9a45f7139..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring.py
+++ /dev/null
@@ -1,128 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict, List, Optional
-
-from llama_stack.apis.datasetio import DatasetIO
-from llama_stack.apis.datasets import Datasets
-from llama_stack.apis.scoring import (
-    ScoreBatchResponse,
-    ScoreResponse,
-    Scoring,
-    ScoringResult,
-)
-from llama_stack.apis.scoring_functions import ScoringFn, ScoringFnParams
-from llama_stack.distribution.datatypes import Api
-from llama_stack.providers.datatypes import ScoringFunctionsProtocolPrivate
-from llama_stack.providers.utils.common.data_schema_validator import (
-    get_valid_schemas,
-    validate_dataset_schema,
-)
-
-from .config import BasicScoringConfig
-from .scoring_fn.bfcl_scoring_fn import BFCLScoringFn
-from .scoring_fn.docvqa_scoring_fn import DocVQAScoringFn
-from .scoring_fn.equality_scoring_fn import EqualityScoringFn
-from .scoring_fn.ifeval_scoring_fn import IfEvalScoringFn
-from .scoring_fn.regex_parser_math_response_scoring_fn import (
-    RegexParserMathResponseScoringFn,
-)
-from .scoring_fn.regex_parser_scoring_fn import RegexParserScoringFn
-from .scoring_fn.subset_of_scoring_fn import SubsetOfScoringFn
-
-FIXED_FNS = [
-    EqualityScoringFn,
-    SubsetOfScoringFn,
-    RegexParserScoringFn,
-    RegexParserMathResponseScoringFn,
-    BFCLScoringFn,
-    IfEvalScoringFn,
-    DocVQAScoringFn,
-]
-
-
-class BasicScoringImpl(
-    Scoring,
-    ScoringFunctionsProtocolPrivate,
-):
-    def __init__(
-        self,
-        config: BasicScoringConfig,
-        datasetio_api: DatasetIO,
-        datasets_api: Datasets,
-    ) -> None:
-        self.config = config
-        self.datasetio_api = datasetio_api
-        self.datasets_api = datasets_api
-        self.scoring_fn_id_impls = {}
-
-    async def initialize(self) -> None:
-        for fn in FIXED_FNS:
-            impl = fn()
-            for fn_defs in impl.get_supported_scoring_fn_defs():
-                self.scoring_fn_id_impls[fn_defs.identifier] = impl
-
-    async def shutdown(self) -> None: ...
-
-    async def list_scoring_functions(self) -> List[ScoringFn]:
-        scoring_fn_defs_list = [
-            fn_def for impl in self.scoring_fn_id_impls.values() for fn_def in impl.get_supported_scoring_fn_defs()
-        ]
-
-        for f in scoring_fn_defs_list:
-            assert f.identifier.startswith("basic"), "All basic scoring fn must have identifier prefixed with 'basic'! "
-
-        return scoring_fn_defs_list
-
-    async def register_scoring_function(self, function_def: ScoringFn) -> None:
-        raise NotImplementedError("Register scoring function not implemented yet")
-
-    async def score_batch(
-        self,
-        dataset_id: str,
-        scoring_functions: Dict[str, Optional[ScoringFnParams]] = None,
-        save_results_dataset: bool = False,
-    ) -> ScoreBatchResponse:
-        dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value))
-
-        all_rows = await self.datasetio_api.iterrows(
-            dataset_id=dataset_id,
-            limit=-1,
-        )
-        res = await self.score(
-            input_rows=all_rows.data,
-            scoring_functions=scoring_functions,
-        )
-        if save_results_dataset:
-            # TODO: persist and register dataset on to server for reading
-            # self.datasets_api.register_dataset()
-            raise NotImplementedError("Save results dataset not implemented yet")
-
-        return ScoreBatchResponse(
-            results=res.results,
-        )
-
-    async def score(
-        self,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: Dict[str, Optional[ScoringFnParams]] = None,
-    ) -> ScoreResponse:
-        res = {}
-        for scoring_fn_id in scoring_functions.keys():
-            if scoring_fn_id not in self.scoring_fn_id_impls:
-                raise ValueError(f"Scoring function {scoring_fn_id} is not supported.")
-            scoring_fn = self.scoring_fn_id_impls[scoring_fn_id]
-            scoring_fn_params = scoring_functions.get(scoring_fn_id, None)
-            score_results = await scoring_fn.score(input_rows, scoring_fn_id, scoring_fn_params)
-            agg_results = await scoring_fn.aggregate(score_results, scoring_fn_id, scoring_fn_params)
-            res[scoring_fn_id] = ScoringResult(
-                score_rows=score_results,
-                aggregated_results=agg_results,
-            )
-
-        return ScoreResponse(
-            results=res,
-        )
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/__init__.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/bfcl_scoring_fn.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/bfcl_scoring_fn.py
deleted file mode 100644
index f37780f3e..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/bfcl_scoring_fn.py
+++ /dev/null
@@ -1,93 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-import json
-import re
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from ..utils.bfcl.ast_parser import decode_ast
-from ..utils.bfcl.checker import ast_checker, is_empty_output
-from .fn_defs.bfcl import bfcl
-
-
-def postprocess(x: Dict[str, Any], test_category: str) -> Dict[str, Any]:
-    contain_func_call = False
-    error = None
-    error_type = None
-    checker_result = {}
-    try:
-        prediction = decode_ast(x["generated_answer"], x["language"]) or ""
-        contain_func_call = True
-        # if not is_function_calling_format_output(prediction):
-        if is_empty_output(prediction):
-            contain_func_call = False
-            error = "Did not output in the specified format. Note: the model_result is wrapped in a string to ensure json serializability."
-            error_type = "ast_decoder:decoder_wrong_output_format"
-        else:
-            checker_result = ast_checker(
-                json.loads(x["function"]),
-                prediction,
-                json.loads(x["ground_truth"]),
-                x["language"],
-                test_category=test_category,
-                model_name="",
-            )
-    except Exception as e:
-        prediction = ""
-        error = f"Invalid syntax. Failed to decode AST. {str(e)}"
-        error_type = "ast_decoder:decoder_failed"
-    return {
-        "prediction": prediction,
-        "contain_func_call": contain_func_call,
-        "valid": checker_result.get("valid", False),
-        "error": error or checker_result.get("error", ""),
-        "error_type": error_type or checker_result.get("error_type", ""),
-    }
-
-
-def gen_valid(x: Dict[str, Any]) -> Dict[str, float]:
-    return {"valid": x["valid"]}
-
-
-def gen_relevance_acc(x: Dict[str, Any]) -> Dict[str, float]:
-    # This function serves for both relevance and irrelevance tests, which share the exact opposite logic.
-    # If `test_category` is "irrelevance", the model is expected to output no function call.
-    # No function call means either the AST decoding fails (a error message is generated) or the decoded AST does not contain any function call (such as a empty list, `[]`).
-    # If `test_category` is "relevance", the model is expected to output to a function call, and empty list doesn't count as a function call.
-    acc = not x["contain_func_call"] if "irrelevance" in x["id"] else x["contain_func_call"]
-    return {"valid": float(acc)}
-
-
-class BFCLScoringFn(RegisteredBaseScoringFn):
-    """
-    A scoring_fn for BFCL
-    """
-
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-        self.supported_fn_defs_registry = {
-            bfcl.identifier: bfcl,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = "bfcl",
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        test_category = re.sub(r"_[0-9_-]+$", "", input_row["id"])
-        score_result = postprocess(input_row, test_category)
-        if test_category in {"irrelevance", "live_relevance", "live_irrelevance"}:
-            score = gen_relevance_acc(score_result)["valid"]
-        else:
-            score = gen_valid(score_result)["valid"]
-        return {
-            "score": float(score),
-        }
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/docvqa_scoring_fn.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/docvqa_scoring_fn.py
deleted file mode 100644
index 84ca55732..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/docvqa_scoring_fn.py
+++ /dev/null
@@ -1,240 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-import json
-import re
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from .fn_defs.docvqa import docvqa
-
-CONTRACTIONS = {
-    "aint": "ain't",
-    "arent": "aren't",
-    "cant": "can't",
-    "couldve": "could've",
-    "couldnt": "couldn't",
-    "couldn'tve": "couldn't've",
-    "couldnt've": "couldn't've",
-    "didnt": "didn't",
-    "doesnt": "doesn't",
-    "dont": "don't",
-    "hadnt": "hadn't",
-    "hadnt've": "hadn't've",
-    "hadn'tve": "hadn't've",
-    "hasnt": "hasn't",
-    "havent": "haven't",
-    "hed": "he'd",
-    "hed've": "he'd've",
-    "he'dve": "he'd've",
-    "hes": "he's",
-    "howd": "how'd",
-    "howll": "how'll",
-    "hows": "how's",
-    "Id've": "I'd've",
-    "I'dve": "I'd've",
-    "Im": "I'm",
-    "Ive": "I've",
-    "isnt": "isn't",
-    "itd": "it'd",
-    "itd've": "it'd've",
-    "it'dve": "it'd've",
-    "itll": "it'll",
-    "let's": "let's",
-    "maam": "ma'am",
-    "mightnt": "mightn't",
-    "mightnt've": "mightn't've",
-    "mightn'tve": "mightn't've",
-    "mightve": "might've",
-    "mustnt": "mustn't",
-    "mustve": "must've",
-    "neednt": "needn't",
-    "notve": "not've",
-    "oclock": "o'clock",
-    "oughtnt": "oughtn't",
-    "ow's'at": "'ow's'at",
-    "'ows'at": "'ow's'at",
-    "'ow'sat": "'ow's'at",
-    "shant": "shan't",
-    "shed've": "she'd've",
-    "she'dve": "she'd've",
-    "she's": "she's",
-    "shouldve": "should've",
-    "shouldnt": "shouldn't",
-    "shouldnt've": "shouldn't've",
-    "shouldn'tve": "shouldn't've",
-    "somebody'd": "somebodyd",
-    "somebodyd've": "somebody'd've",
-    "somebody'dve": "somebody'd've",
-    "somebodyll": "somebody'll",
-    "somebodys": "somebody's",
-    "someoned": "someone'd",
-    "someoned've": "someone'd've",
-    "someone'dve": "someone'd've",
-    "someonell": "someone'll",
-    "someones": "someone's",
-    "somethingd": "something'd",
-    "somethingd've": "something'd've",
-    "something'dve": "something'd've",
-    "somethingll": "something'll",
-    "thats": "that's",
-    "thered": "there'd",
-    "thered've": "there'd've",
-    "there'dve": "there'd've",
-    "therere": "there're",
-    "theres": "there's",
-    "theyd": "they'd",
-    "theyd've": "they'd've",
-    "they'dve": "they'd've",
-    "theyll": "they'll",
-    "theyre": "they're",
-    "theyve": "they've",
-    "twas": "'twas",
-    "wasnt": "wasn't",
-    "wed've": "we'd've",
-    "we'dve": "we'd've",
-    "weve": "we've",
-    "werent": "weren't",
-    "whatll": "what'll",
-    "whatre": "what're",
-    "whats": "what's",
-    "whatve": "what've",
-    "whens": "when's",
-    "whered": "where'd",
-    "wheres": "where's",
-    "whereve": "where've",
-    "whod": "who'd",
-    "whod've": "who'd've",
-    "who'dve": "who'd've",
-    "wholl": "who'll",
-    "whos": "who's",
-    "whove": "who've",
-    "whyll": "why'll",
-    "whyre": "why're",
-    "whys": "why's",
-    "wont": "won't",
-    "wouldve": "would've",
-    "wouldnt": "wouldn't",
-    "wouldnt've": "wouldn't've",
-    "wouldn'tve": "wouldn't've",
-    "yall": "y'all",
-    "yall'll": "y'all'll",
-    "y'allll": "y'all'll",
-    "yall'd've": "y'all'd've",
-    "y'alld've": "y'all'd've",
-    "y'all'dve": "y'all'd've",
-    "youd": "you'd",
-    "youd've": "you'd've",
-    "you'dve": "you'd've",
-    "youll": "you'll",
-    "youre": "you're",
-    "youve": "you've",
-    "1st": "first",
-    "2nd": "second",
-    "3rd": "third",
-}
-NUMBERS = {
-    "none": "0",
-    "zero": "0",
-    "one": "1",
-    "two": "2",
-    "three": "3",
-    "four": "4",
-    "five": "5",
-    "six": "6",
-    "seven": "7",
-    "eight": "8",
-    "nine": "9",
-    "ten": "10",
-}
-ARTICLES = [
-    "a",
-    "an",
-    "the",
-    "to",
-    "in",
-    "from",
-    "by",
-]  # Contains a bit more than just articles, but we want to get rid of these elements influencing the accuracy
-PERIOD_STRIP = re.compile(r"(?!<=\d)(\.)(?!\d)")
-COMMA_STRIP = re.compile(r"(\d)(\,)(\d)")
-PUNCTUATION = [
-    ";",
-    r"/",
-    "[",
-    "]",
-    '"',
-    "{",
-    "}",
-    "(",
-    ")",
-    "=",
-    "+",
-    "\\",
-    "_",
-    "-",
-    ">",
-    "<",
-    "@",
-    "`",
-    ",",
-    "?",
-    "!",
-]
-
-
-def normalize_answer(s: str) -> str:
-    # process punctuation
-    for p in PUNCTUATION:
-        if (p + " " in s or " " + p in s) or (re.search(COMMA_STRIP, s) is not None):
-            s = s.replace(p, "")
-        else:
-            s = s.replace(p, " ")
-        s = PERIOD_STRIP.sub("", s, re.UNICODE)
-
-    # process digits and articles
-    temp_text = s.lower().split()
-    out_text = []
-    for word in temp_text:
-        word = NUMBERS.setdefault(word, word)
-        if word not in ARTICLES:
-            out_text.append(word)
-
-    # standardize contractions
-    for word_id, word in enumerate(out_text):
-        if word in CONTRACTIONS:
-            out_text[word_id] = CONTRACTIONS[word]
-    return " ".join(out_text)
-
-
-class DocVQAScoringFn(RegisteredBaseScoringFn):
-    """
-    docvqa basically matches the generated answer against several allowed
-    choices, but we need to normalize the answer to avoid penalizing
-    trivial differences
-    """
-
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-        self.supported_fn_defs_registry = {
-            docvqa.identifier: docvqa,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = "docvqa",
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        expected_answers = json.loads(input_row["expected_answer"])
-        generated_answer = input_row["generated_answer"]
-        score = 1.0 if normalize_answer(generated_answer) in [normalize_answer(s) for s in expected_answers] else 0.0
-        return {
-            "score": score,
-        }
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/equality_scoring_fn.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/equality_scoring_fn.py
deleted file mode 100644
index 0bd6bdd48..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/equality_scoring_fn.py
+++ /dev/null
@@ -1,41 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from .fn_defs.equality import equality
-
-
-class EqualityScoringFn(RegisteredBaseScoringFn):
-    """
-    A scoring_fn that assigns a score of 1.0 if the input string matches the target string, and 0.0 otherwise.
-    """
-
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-        self.supported_fn_defs_registry = {
-            equality.identifier: equality,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = "equality",
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        assert "expected_answer" in input_row, "Expected answer not found in input row."
-        assert "generated_answer" in input_row, "Generated answer not found in input row."
-
-        expected_answer = input_row["expected_answer"]
-        generated_answer = input_row["generated_answer"]
-        score = 1.0 if expected_answer == generated_answer else 0.0
-        return {
-            "score": score,
-        }
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/__init__.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/bfcl.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/bfcl.py
deleted file mode 100644
index 392d92c86..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/bfcl.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-bfcl = ScoringFn(
-    identifier="basic::bfcl",
-    description="BFCL complex scoring",
-    return_type=NumberType(),
-    provider_id="basic",
-    provider_resource_id="bfcl",
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.accuracy]),
-)
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/docvqa.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/docvqa.py
deleted file mode 100644
index aad3dfe26..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/docvqa.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-docvqa = ScoringFn(
-    identifier="basic::docvqa",
-    description="DocVQA Visual Question & Answer scoring function",
-    return_type=NumberType(),
-    provider_id="basic",
-    provider_resource_id="docvqa",
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.accuracy]),
-)
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/equality.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/equality.py
deleted file mode 100644
index 9b24ff791..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/equality.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-equality = ScoringFn(
-    identifier="basic::equality",
-    description="Returns 1.0 if the input is equal to the target, 0.0 otherwise.",
-    provider_id="basic",
-    provider_resource_id="equality",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.accuracy]),
-)
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/ifeval.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/ifeval.py
deleted file mode 100644
index adca0791d..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/ifeval.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-ifeval = ScoringFn(
-    identifier="basic::ifeval",
-    description="Eval intruction follow capacity by checkping how many instructions can be followed in each example",
-    return_type=NumberType(),
-    provider_id="basic",
-    provider_resource_id="ifeval",
-    params=BasicScoringFnParams(
-        aggregation_functions=[AggregationFunctionType.weighted_average],
-    ),
-)
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_math_response.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_math_response.py
deleted file mode 100644
index 8b1bf5352..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_math_response.py
+++ /dev/null
@@ -1,27 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    RegexParserScoringFnParams,
-    ScoringFn,
-)
-
-MATH_ANSWER_REGEXES = [r".*final answer is:?\s*\$\\boxed{(?P.*)}\$"]
-
-
-regex_parser_math_response = ScoringFn(
-    identifier="basic::regex_parser_math_response",
-    description="For math related benchmarks, extract answer from the generated response and expected_answer and see if they match",
-    return_type=NumberType(),
-    provider_id="basic",
-    provider_resource_id="regex-parser-math-response",
-    params=RegexParserScoringFnParams(
-        parsing_regexes=MATH_ANSWER_REGEXES,
-        aggregation_functions=[AggregationFunctionType.accuracy],
-    ),
-)
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_multiple_choice_answer.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_multiple_choice_answer.py
deleted file mode 100644
index ea04331c9..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_multiple_choice_answer.py
+++ /dev/null
@@ -1,71 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    RegexParserScoringFnParams,
-    ScoringFn,
-)
-
-MULTILINGUAL_ANSWER_REGEXES = [
-    r"The best answer is ",
-    r"Answer\s*:",
-    r"Answer\s*:​​​​​​",  # Korean invisible character
-    r"উত্তর\s*:",
-    r"उत्तर\s*:",
-    r"উত্তরঃ",
-    r"উত্তর\s*:",
-    r"Antwort\s*:",
-    r"답변\s*:",
-    r"정답\s*:",
-    r"답\s*:",
-    r"答案\s*：",
-    r"答案\s*:",
-    r"答\s*：",
-    r"答\s*:",
-    r"答复\s*：",
-    r"答曰\s*：",
-    r"الإجابة:",
-    r"الجواب:",
-    r"إجابة:",
-    r"الإجابة النهائية:",
-    r"الإجابة الصحيحة:",
-    r"الإجابة الصحيحة هي:",
-    r"الإجابة هي:",
-    r"Respuesta\s*:",
-    r"Risposta\s*:",
-    r"答え\s*:",
-    r"答え\s*：",
-    r"回答\s*:",
-    r"回答\s*：",
-    r"解答\s*:",
-    r"Jawaban\s*:",
-    r"Réponse\s*:",
-    r"Resposta\s*:",
-    r"Jibu\s*:",
-    r"Idahun\s*:",
-    r"Ìdáhùn\s*:",
-    r"Idáhùn\s*:",
-    r"Àmọ̀nà\s*:",
-    r"Àdáhùn\s*:",
-    r"Ànúgọ\s*:",
-    r"Àṣàyàn\s*:",
-]
-
-MULTILINGUAL_ANSWER_PATTERN_TEMPLATE = r"(?i){}\s*([A-D]|[أ-د]|[অ]|[ব]|[ড]|[ঢ]|[Ａ]|[Ｂ]|[Ｃ]|[Ｄ])"
-
-regex_parser_multiple_choice_answer = ScoringFn(
-    identifier="basic::regex_parser_multiple_choice_answer",
-    description="Extract answer from response matching Answer: [the_answer_letter], and compare with expected result",
-    return_type=NumberType(),
-    provider_id="basic",
-    provider_resource_id="regex-parser-multiple-choice-answer",
-    params=RegexParserScoringFnParams(
-        parsing_regexes=[MULTILINGUAL_ANSWER_PATTERN_TEMPLATE.format(x) for x in MULTILINGUAL_ANSWER_REGEXES],
-        aggregation_functions=[AggregationFunctionType.accuracy],
-    ),
-)
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/subset_of.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/subset_of.py
deleted file mode 100644
index 9cae66fa6..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/subset_of.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-subset_of = ScoringFn(
-    identifier="basic::subset_of",
-    description="Returns 1.0 if the expected is included in generated, 0.0 otherwise.",
-    return_type=NumberType(),
-    provider_id="basic",
-    provider_resource_id="subset-of",
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.accuracy]),
-)
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/ifeval_scoring_fn.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/ifeval_scoring_fn.py
deleted file mode 100644
index 6ff856684..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/ifeval_scoring_fn.py
+++ /dev/null
@@ -1,80 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from .fn_defs.ifeval import (
-    ifeval,
-)
-
-
-class IfEvalScoringFn(RegisteredBaseScoringFn):
-    """
-    A scoring_fn Instruction-Following Eval (IFEval) benchmark
-    """
-
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-        self.supported_fn_defs_registry = {
-            ifeval.identifier: ifeval,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = None,
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        from ..utils.ifeval_utils import INSTRUCTION_DICT, INSTRUCTION_LIST
-
-        assert scoring_fn_identifier is not None, "Scoring function identifier not found."
-        fn_def = self.supported_fn_defs_registry[scoring_fn_identifier]
-        if scoring_params is not None:
-            fn_def.params = scoring_params
-
-        instruction_list = input_row["instruction_id_list"]
-        generated_answer = input_row["generated_answer"].strip()
-
-        is_following_list = []
-        results = dict(
-            {k + "_correct": 0.0 for k in INSTRUCTION_LIST},
-            **{k + "_total": 0.0 for k in INSTRUCTION_LIST},
-        )
-
-        for index, instruction_id in enumerate(instruction_list):
-            instruction_cls = INSTRUCTION_DICT[instruction_id]
-            instruction = instruction_cls(instruction_id)
-            results[instruction_id + "_total"] += 1.0
-            results[instruction_id.split(":")[0] + "_total"] += 1.0
-
-            clean_input_row = {k: v for k, v in input_row["kwargs"][index].items() if v is not None}
-            print(clean_input_row)
-            instruction.build_description(**clean_input_row)
-            args = instruction.get_instruction_args()
-            if args and "prompt" in args:
-                instruction.build_description(prompt=input_row["prompt"])
-
-            if generated_answer and instruction.check_following(generated_answer):
-                is_following_list.append(True)
-                results[instruction_id + "_correct"] += 1.0
-                results[instruction_id.split(":")[0] + "_correct"] += 1.0
-            else:
-                is_following_list.append(False)
-
-        if len(is_following_list) == 0:
-            return {
-                "score": 0.0,
-                "weight": 0.0,
-            }
-
-        return {
-            "score": float(sum(is_following_list)) / float(len(is_following_list)),
-            "weight": float(len(is_following_list)),
-        }
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_math_response_scoring_fn.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_math_response_scoring_fn.py
deleted file mode 100644
index d6c78a9ac..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_math_response_scoring_fn.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams, ScoringFnParamsType
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from ..utils.math_utils import first_answer, normalize_final_answer, try_evaluate_frac, try_evaluate_latex
-from .fn_defs.regex_parser_math_response import (
-    regex_parser_math_response,
-)
-
-
-class RegexParserMathResponseScoringFn(RegisteredBaseScoringFn):
-    """
-    A scoring_fn for math benchamrks that parses answer from generated response according to context and check match with expected_answer.
-    """
-
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-        self.supported_fn_defs_registry = {
-            regex_parser_math_response.identifier: regex_parser_math_response,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = None,
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        assert scoring_fn_identifier is not None, "Scoring function identifier not found."
-        fn_def = self.supported_fn_defs_registry[scoring_fn_identifier]
-        if scoring_params is not None:
-            fn_def.params = scoring_params
-
-        assert fn_def.params is not None and fn_def.params.type == ScoringFnParamsType.regex_parser.value, (
-            f"RegexParserScoringFnParams not found for {fn_def}."
-        )
-
-        expected_answer = input_row["expected_answer"]
-        generated_answer = input_row["generated_answer"]
-
-        parsing_regexes = fn_def.params.parsing_regexes
-        assert len(parsing_regexes) == 1, (
-            "Only one parsing regex is supported for regex_parser_math_response scoring function."
-        )
-        parsing_regexes = fn_def.params.parsing_regexes[0]
-
-        normalized_generated_answer = normalize_final_answer(
-            first_answer(generated_answer),
-            parsing_regexes,
-            match_first=True,
-        )
-        normalized_generated_answer = try_evaluate_frac(try_evaluate_latex(normalized_generated_answer))
-
-        normalized_expected_answer = normalize_final_answer(expected_answer, r".*")
-        normalized_expected_answer = try_evaluate_frac(try_evaluate_latex(normalized_expected_answer))
-
-        score = 1.0 if normalized_generated_answer == normalized_expected_answer else 0.0
-        return {
-            "score": score,
-        }
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_scoring_fn.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_scoring_fn.py
deleted file mode 100644
index 0606a9581..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/regex_parser_scoring_fn.py
+++ /dev/null
@@ -1,58 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-import re
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams, ScoringFnParamsType
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from .fn_defs.regex_parser_multiple_choice_answer import (
-    regex_parser_multiple_choice_answer,
-)
-
-
-class RegexParserScoringFn(RegisteredBaseScoringFn):
-    """
-    A scoring_fn that parses answer from generated response according to context and check match with expected_answer.
-    """
-
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-        self.supported_fn_defs_registry = {
-            regex_parser_multiple_choice_answer.identifier: regex_parser_multiple_choice_answer,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = None,
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        assert scoring_fn_identifier is not None, "Scoring function identifier not found."
-        fn_def = self.supported_fn_defs_registry[scoring_fn_identifier]
-        if scoring_params is not None:
-            fn_def.params = scoring_params
-
-        assert fn_def.params is not None and fn_def.params.type == ScoringFnParamsType.regex_parser.value, (
-            f"RegexParserScoringFnParams not found for {fn_def}."
-        )
-
-        expected_answer = input_row["expected_answer"]
-        generated_answer = input_row["generated_answer"]
-
-        # parse answer according to regex
-        parsed_answer = None
-        for regex in fn_def.params.parsing_regexes:
-            match = re.search(regex, generated_answer)
-            if match:
-                parsed_answer = match.group(1)
-                break
-
-        score = 1.0 if parsed_answer and parsed_answer == expected_answer else 0.0
-        return {
-            "score": score,
-        }
diff --git a/llama_stack/providers/inline/scoring/basic/scoring_fn/subset_of_scoring_fn.py b/llama_stack/providers/inline/scoring/basic/scoring_fn/subset_of_scoring_fn.py
deleted file mode 100644
index 71defc433..000000000
--- a/llama_stack/providers/inline/scoring/basic/scoring_fn/subset_of_scoring_fn.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from .fn_defs.subset_of import subset_of
-
-
-class SubsetOfScoringFn(RegisteredBaseScoringFn):
-    """
-    A scoring_fn that assigns a score of 1.0 if the expected string is included in the generated string, and 0.0 otherwise.
-    """
-
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-        self.supported_fn_defs_registry = {
-            subset_of.identifier: subset_of,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = "subset_of",
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        expected_answer = input_row["expected_answer"]
-        generated_answer = input_row["generated_answer"]
-        score = 1.0 if expected_answer in generated_answer else 0.0
-        return {
-            "score": score,
-        }
diff --git a/llama_stack/providers/inline/scoring/basic/utils/bfcl/__init__.py b/llama_stack/providers/inline/scoring/basic/utils/bfcl/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/basic/utils/bfcl/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/basic/utils/bfcl/ast_parser.py b/llama_stack/providers/inline/scoring/basic/utils/bfcl/ast_parser.py
deleted file mode 100644
index 445cdfc77..000000000
--- a/llama_stack/providers/inline/scoring/basic/utils/bfcl/ast_parser.py
+++ /dev/null
@@ -1,296 +0,0 @@
-# ruff: noqa
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-import ast
-
-from .tree_sitter import get_parser
-
-
-def parse_java_function_call(source_code):
-    if not source_code.endswith(";"):
-        source_code += ";"  # Necessary for the parser not to register an error
-    parser = get_parser("java")
-    tree = parser.parse(bytes(source_code, "utf8"))
-    root_node = tree.root_node
-
-    if root_node.has_error:
-        raise Exception("Error parsing java the source code.")
-
-    def get_text(node):
-        """Returns the text represented by the node."""
-        return source_code[node.start_byte : node.end_byte]
-
-    def traverse_node(node, nested=False):
-        if node.type == "string_literal":
-            if nested:
-                return get_text(node)
-            # Strip surrounding quotes from string literals
-            return get_text(node)[1:-1]
-        elif node.type == "character_literal":
-            if nested:
-                return get_text(node)
-            # Strip surrounding single quotes from character literals
-            return get_text(node)[1:-1]
-        """Traverse the node to collect texts for complex structures."""
-        if node.type in [
-            "identifier",
-            "class_literal",
-            "type_identifier",
-            "method_invocation",
-        ]:
-            return get_text(node)
-        elif node.type == "array_creation_expression":
-            # Handle array creation expression specifically
-            type_node = node.child_by_field_name("type")
-            value_node = node.child_by_field_name("value")
-            type_text = traverse_node(type_node, True)
-            value_text = traverse_node(value_node, True)
-            return f"new {type_text}[]{value_text}"
-        elif node.type == "object_creation_expression":
-            # Handle object creation expression specifically
-            type_node = node.child_by_field_name("type")
-            arguments_node = node.child_by_field_name("arguments")
-            type_text = traverse_node(type_node, True)
-            if arguments_node:
-                # Process each argument carefully, avoiding unnecessary punctuation
-                argument_texts = []
-                for child in arguments_node.children:
-                    if child.type not in [
-                        ",",
-                        "(",
-                        ")",
-                    ]:  # Exclude commas and parentheses
-                        argument_text = traverse_node(child, True)
-                        argument_texts.append(argument_text)
-                arguments_text = ", ".join(argument_texts)
-                return f"new {type_text}({arguments_text})"
-            else:
-                return f"new {type_text}()"
-        elif node.type == "set":
-            # Handling sets specifically
-            items = [traverse_node(n, True) for n in node.children if n.type not in [",", "set"]]
-            return "{" + ", ".join(items) + "}"
-
-        elif node.child_count > 0:
-            return "".join(traverse_node(child, True) for child in node.children)
-        else:
-            return get_text(node)
-
-    def extract_arguments(args_node):
-        arguments = {}
-        for child in args_node.children:
-            if child.type == "assignment_expression":
-                # For named parameters
-                name_node, value_node = child.children[0], child.children[2]
-                name = get_text(name_node)
-                value = traverse_node(value_node)
-                if name in arguments:
-                    if not isinstance(arguments[name], list):
-                        arguments[name] = [arguments[name]]
-                    arguments[name].append(value)
-                else:
-                    arguments[name] = value
-                # arguments.append({'name': name, 'value': value})
-            elif child.type in ["identifier", "class_literal", "set"]:
-                # For unnamed parameters and handling sets
-                value = traverse_node(child)
-                if None in arguments:
-                    if not isinstance(arguments[None], list):
-                        arguments[None] = [arguments[None]]
-                    arguments[None].append(value)
-                else:
-                    arguments[None] = value
-        return arguments
-
-    def traverse(node):
-        if node.type == "method_invocation":
-            # Extract the function name and its arguments
-            method_name = get_text(node.child_by_field_name("name"))
-            class_name_node = node.child_by_field_name("object")
-            if class_name_node:
-                class_name = get_text(class_name_node)
-                function_name = f"{class_name}.{method_name}"
-            else:
-                function_name = method_name
-            arguments_node = node.child_by_field_name("arguments")
-            if arguments_node:
-                arguments = extract_arguments(arguments_node)
-                for key, value in arguments.items():
-                    if isinstance(value, list):
-                        raise Exception("Error: Multiple arguments with the same name are not supported.")
-                return [{function_name: arguments}]
-
-        else:
-            for child in node.children:
-                result = traverse(child)
-                if result:
-                    return result
-
-    result = traverse(root_node)
-    return result if result else {}
-
-
-def parse_javascript_function_call(source_code):
-    if not source_code.endswith(";"):
-        source_code += ";"  # Necessary for the parser not to register an error
-    parser = get_parser("javascript")
-    # Parse the source code
-    tree = parser.parse(bytes(source_code, "utf8"))
-    root_node = tree.root_node
-    if root_node.has_error:
-        raise Exception("Error js parsing the source code.")
-
-    # Function to recursively extract argument details
-    def extract_arguments(node):
-        args = {}
-        for child in node.children:
-            if child.type == "assignment_expression":
-                # Extract left (name) and right (value) parts of the assignment
-                name = child.children[0].text.decode("utf-8")
-                value = child.children[2].text.decode("utf-8")
-                if (value.startswith('"') and value.endswith('"')) or (value.startswith("'") and value.endswith("'")):
-                    value = value[1:-1]  # Trim the quotation marks
-                if name in args:
-                    if not isinstance(args[name], list):
-                        args[name] = [args[name]]
-                    args[name].append(value)
-                else:
-                    args[name] = value
-
-            elif child.type == "identifier" or child.type == "true":
-                # Handle non-named arguments and boolean values
-                value = child.text.decode("utf-8")
-                if None in args:
-                    if not isinstance(args[None], list):
-                        args[None] = [args[None]]
-                    args[None].append(value)
-                else:
-                    args[None] = value
-        return args
-
-    # Find the function call and extract its name and arguments
-    if root_node.type == "program":
-        for child in root_node.children:
-            if child.type == "expression_statement":
-                for sub_child in child.children:
-                    if sub_child.type == "call_expression":
-                        function_name = sub_child.children[0].text.decode("utf8")
-                        arguments_node = sub_child.children[1]
-                        parameters = extract_arguments(arguments_node)
-                        for key, value in parameters.items():
-                            if isinstance(value, list):
-                                raise Exception("Error: Multiple arguments with the same name are not supported.")
-                        result = [{function_name: parameters}]
-                        return result
-
-
-def ast_parse(input_str, language="Python"):
-    if language == "Python":
-        cleaned_input = input_str.strip("[]'")
-        parsed = ast.parse(cleaned_input, mode="eval")
-        extracted = []
-        if isinstance(parsed.body, ast.Call):
-            extracted.append(resolve_ast_call(parsed.body))
-        else:
-            for elem in parsed.body.elts:
-                extracted.append(resolve_ast_call(elem))
-        return extracted
-    elif language == "Java":
-        return parse_java_function_call(input_str[1:-1])  # Remove the [ and ] from the string
-    elif language == "JavaScript":
-        return parse_javascript_function_call(input_str[1:-1])
-    else:
-        raise NotImplementedError(f"Unsupported language: {language}")
-
-
-def resolve_ast_call(elem):
-    # Handle nested attributes for deeply nested module paths
-    func_parts = []
-    func_part = elem.func
-    while isinstance(func_part, ast.Attribute):
-        func_parts.append(func_part.attr)
-        func_part = func_part.value
-    if isinstance(func_part, ast.Name):
-        func_parts.append(func_part.id)
-    func_name = ".".join(reversed(func_parts))
-    args_dict = {}
-    # Parse when args are simply passed as an unnamed dictionary arg
-    for arg in elem.args:
-        if isinstance(arg, ast.Dict):
-            for key, value in zip(arg.keys, arg.values):
-                if isinstance(key, ast.Constant):
-                    arg_name = key.value
-                output = resolve_ast_by_type(value)
-                args_dict[arg_name] = output
-    for arg in elem.keywords:
-        output = resolve_ast_by_type(arg.value)
-        args_dict[arg.arg] = output
-    return {func_name: args_dict}
-
-
-def resolve_ast_by_type(value):
-    if isinstance(value, ast.Constant):
-        if value.value is Ellipsis:
-            output = "..."
-        else:
-            output = value.value
-    elif isinstance(value, ast.UnaryOp):
-        output = -value.operand.value
-    elif isinstance(value, ast.List):
-        output = [resolve_ast_by_type(v) for v in value.elts]
-    elif isinstance(value, ast.Dict):
-        output = {resolve_ast_by_type(k): resolve_ast_by_type(v) for k, v in zip(value.keys, value.values)}
-    elif isinstance(value, ast.NameConstant):  # Added this condition to handle boolean values
-        output = value.value
-    elif isinstance(value, ast.BinOp):  # Added this condition to handle function calls as arguments
-        output = eval(ast.unparse(value))
-    elif isinstance(value, ast.Name):
-        output = value.id
-    elif isinstance(value, ast.Call):
-        if len(value.keywords) == 0:
-            output = ast.unparse(value)
-        else:
-            output = resolve_ast_call(value)
-    elif isinstance(value, ast.Tuple):
-        output = tuple(resolve_ast_by_type(v) for v in value.elts)
-    elif isinstance(value, ast.Lambda):
-        output = eval(ast.unparse(value.body[0].value))
-    elif isinstance(value, ast.Ellipsis):
-        output = "..."
-    elif isinstance(value, ast.Subscript):
-        try:
-            output = ast.unparse(value.body[0].value)
-        except:
-            output = ast.unparse(value.value) + "[" + ast.unparse(value.slice) + "]"
-    else:
-        raise Exception(f"Unsupported AST type: {type(value)}")
-    return output
-
-
-def decode_ast(result, language="Python"):
-    func = result
-    func = func.replace("\n", "")  # remove new line characters
-    if not func.startswith("["):
-        func = "[" + func
-    if not func.endswith("]"):
-        func = func + "]"
-    decoded_output = ast_parse(func, language)
-    return decoded_output
-
-
-def decode_execute(result):
-    func = result
-    func = func.replace("\n", "")  # remove new line characters
-    if not func.startswith("["):
-        func = "[" + func
-    if not func.endswith("]"):
-        func = func + "]"
-    decode_output = ast_parse(func)
-    execution_list = []
-    for function_call in decode_output:
-        for key, value in function_call.items():
-            execution_list.append(f"{key}({','.join([f'{k}={repr(v)}' for k, v in value.items()])})")
-    return execution_list
diff --git a/llama_stack/providers/inline/scoring/basic/utils/bfcl/checker.py b/llama_stack/providers/inline/scoring/basic/utils/bfcl/checker.py
deleted file mode 100644
index f6aab123c..000000000
--- a/llama_stack/providers/inline/scoring/basic/utils/bfcl/checker.py
+++ /dev/null
@@ -1,989 +0,0 @@
-# ruff: noqa
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-import json
-import re
-import time
-from typing import Any
-
-# Comment out for now until we actually use the rest checker in evals
-# import requests  # Do not remove this import even though it seems to be unused. It's used in the executable_checker_rest function.
-
-
-class NoAPIKeyError(Exception):
-    def __init__(self):
-        self.message = "❗️Please fill in the API keys in the function_credential_config.json file. If you do not provide the API keys, the executable test category results will be inaccurate."
-        super().__init__(self.message)
-
-
-REAL_TIME_MATCH_ALLOWED_DIFFERENCE = 0.2
-
-
-JAVA_TYPE_CONVERSION = {
-    "byte": int,
-    "short": int,
-    "integer": int,
-    "float": float,
-    "double": float,
-    "long": int,
-    "boolean": bool,
-    "char": str,
-    "Array": list,
-    "ArrayList": list,
-    "Set": set,
-    "HashMap": dict,
-    "Hashtable": dict,
-    "Queue": list,  # this can be `queue.Queue` as well, for simplicity we check with list
-    "Stack": list,
-    "String": str,
-    "any": str,
-}
-
-JS_TYPE_CONVERSION = {
-    "String": str,
-    "integer": int,
-    "float": float,
-    "Bigint": int,
-    "Boolean": bool,
-    "dict": dict,
-    "array": list,
-    "any": str,
-}
-
-# We switch to conditional import for the following two imports to avoid unnecessary installations.
-# User doesn't need to setup the tree-sitter packages if they are not running the test for that language.
-# from js_type_converter import js_type_converter
-# from java_type_converter import java_type_converter
-
-PYTHON_TYPE_MAPPING = {
-    "string": str,
-    "integer": int,
-    "float": float,
-    "boolean": bool,
-    "array": list,
-    "tuple": list,
-    "dict": dict,
-    "any": str,
-}
-
-# This is the list of types that we need to recursively check its values
-PYTHON_NESTED_TYPE_CHECK_LIST = ["array", "tuple"]
-
-
-NESTED_CONVERSION_TYPE_LIST = ["Array", "ArrayList", "array"]
-
-
-#### Helper functions for AST ####
-def find_description(func_descriptions, name):
-    if type(func_descriptions) == list:
-        for func_description in func_descriptions:
-            if func_description["name"] == name:
-                return func_description
-        return None
-    else:
-        # it is a dict, there is only one function
-        return func_descriptions
-
-
-def get_possible_answer_type(possible_answer: list):
-    for answer in possible_answer:
-        if answer != "":  # Optional parameter
-            return type(answer)
-    return None
-
-
-def type_checker(
-    param: str,
-    value,
-    possible_answer: list,
-    expected_type_description: str,
-    expected_type_converted,
-    nested_type_converted,
-):
-    # NOTE: This type checker only supports nested type checking for one level deep.
-    # We didn't implement recursive type checking for nested types, as it's not needed for the current use case and it's very complex.
-
-    result: Any = {
-        "valid": True,
-        "error": [],
-        "is_variable": False,
-        "error_type": "type_error:simple",
-    }
-
-    is_variable = False
-    # check for the case where a variable is used instead of a actual value.
-    # use the type in possible_answer as the expected type
-    possible_answer_type = get_possible_answer_type(possible_answer)
-    # if possible_answer only contains optional parameters, we can't determine the type
-    if possible_answer_type != None:
-        # we are being precise here.
-        # in fact, possible_answer_type should always be string, as that's how we treat varibale in possible_answer
-        if possible_answer_type != expected_type_converted:
-            is_variable = True
-
-    # value is the same type as in function description
-    if type(value) == expected_type_converted:
-        # We don't need to do recursive check for simple types
-        if nested_type_converted == None:
-            result["is_variable"] = is_variable
-            return result
-        else:
-            for possible_answer_item in possible_answer:
-                flag = True  # Each parameter should match to at least one possible answer type.
-                # Here, we assume that each item should be the same type. We could also relax it.
-                if type(possible_answer_item) == list:
-                    for value_item in value:
-                        checker_result = type_checker(
-                            param,
-                            value_item,
-                            possible_answer_item,
-                            str(nested_type_converted),
-                            nested_type_converted,
-                            None,
-                        )
-                        if not checker_result["valid"]:
-                            flag = False
-                            break
-
-                if flag:
-                    return {"valid": True, "error": [], "is_variable": is_variable}
-
-            result["valid"] = False
-            result["error"] = [
-                f"Nested type checking failed for parameter {repr(param)}. Expected outer type {expected_type_description} with inner type {str(nested_type_converted)}. Parameter value: {repr(value)}."
-            ]
-            result["error_type"] = "type_error:nested"
-
-    # value is not as expected, check for the case where a variable is used instead of a actual value
-    # use the type in possible_answer as the expected type
-    possible_answer_type = get_possible_answer_type(possible_answer)
-    # if possible_answer only contains optional parameters, we can't determine the type
-    if possible_answer_type != None:
-        # we are being precise here.
-        # in fact, possible_answer_type should always be string, as that's how we treat varibale in possible_answer
-        if type(value) == possible_answer_type:
-            result["is_variable"] = True
-            return result
-
-    result["valid"] = False
-    result["error"].append(
-        f"Incorrect type for parameter {repr(param)}. Expected type {expected_type_description}, got {type(value).__name__}. Parameter value: {repr(value)}."
-    )
-    result["error_type"] = "type_error:simple"
-    return result
-
-
-def standardize_string(input_string: str):
-    # This function standardizes the string by removing all the spaces, ",./-_*^" punctuation, and converting it to lowercase
-    # It will also convert all the single quotes to double quotes
-    # This is used to compare the model output with the possible answers
-    # We don't want to punish model for answer like April 1, 2024 vs April 1,2024, vs April 1 2024
-    regex_string = r"[ \,\.\/\-\_\*\^]"
-    return re.sub(regex_string, "", input_string).lower().replace("'", '"')
-
-
-def string_checker(param: str, model_output: str, possible_answer: list):
-    standardize_possible_answer = []
-    standardize_model_output = standardize_string(model_output)
-    for i in range(len(possible_answer)):
-        if type(possible_answer[i]) == str:
-            standardize_possible_answer.append(standardize_string(possible_answer[i]))
-
-    if standardize_model_output not in standardize_possible_answer:
-        return {
-            "valid": False,
-            "error": [
-                f"Invalid value for parameter {repr(param)}: {repr(model_output)}. Expected one of {possible_answer}. Case insensitive."
-            ],
-            "error_type": "value_error:string",
-        }
-
-    return {"valid": True, "error": []}
-
-
-def list_checker(param: str, model_output: list, possible_answer: list):
-    # Convert the tuple to a list
-
-    standardize_model_output = list(model_output)
-
-    # If the element in the list is a string, we need to standardize it
-    for i in range(len(standardize_model_output)):
-        if type(standardize_model_output[i]) == str:
-            standardize_model_output[i] = standardize_string(model_output[i])
-
-    standardize_possible_answer: Any = []
-    # We also need to standardize the possible answers
-    for i in range(len(possible_answer)):
-        standardize_possible_answer.append([])
-        for j in range(len(possible_answer[i])):
-            if type(possible_answer[i][j]) == str:
-                standardize_possible_answer[i].append(standardize_string(possible_answer[i][j]))
-            else:
-                standardize_possible_answer[i].append(possible_answer[i][j])
-
-    if standardize_model_output not in standardize_possible_answer:
-        return {
-            "valid": False,
-            "error": [
-                f"Invalid value for parameter {repr(param)}: {repr(model_output)}. Expected one of {possible_answer}."
-            ],
-            "error_type": "value_error:list/tuple",
-        }
-
-    return {"valid": True, "error": []}
-
-
-def dict_checker(param: str, model_output: dict, possible_answers: list):
-    # This function works for simple dictionaries, but not dictionaries with nested dictionaries.
-    # The current dataset only contains simple dictionaries, so this is sufficient.
-
-    result = {"valid": False, "error": [], "error_type": "dict_checker:unclear"}
-    for i in range(len(possible_answers)):
-        if possible_answers[i] == "":
-            continue
-
-        result = {"valid": False, "error": [], "error_type": "dict_checker:unclear"}
-
-        flag = True
-
-        possible_answer = possible_answers[i]
-        # possible_anwer is a single dictionary
-
-        for key, value in model_output.items():
-            if key not in possible_answer:
-                result["valid"] = False
-                result["error"].append(f"Unexpected dict key parameter: '{key}'.")  # type: ignore[attr-defined]
-                result["error_type"] = "value_error:dict_key"
-                flag = False
-                break
-
-            standardize_value = value
-            # If the value is a string, we need to standardize it
-            if type(value) == str:
-                standardize_value = standardize_string(value)
-
-            # We also need to standardize the possible answers if they are string
-            standardize_possible_answer = []
-            for i in range(len(possible_answer[key])):
-                if type(possible_answer[key][i]) == str:
-                    standardize_possible_answer.append(standardize_string(possible_answer[key][i]))
-                else:
-                    standardize_possible_answer.append(possible_answer[key][i])
-
-            if standardize_value not in standardize_possible_answer:
-                result["valid"] = False
-                result["error"].append(  # type: ignore[attr-defined]
-                    f"Invalid value for parameter {repr(key)}: {repr(value)}. Expected one of {standardize_possible_answer}."
-                )
-                result["error_type"] = "value_error:dict_value"
-                flag = False
-                break
-
-        for key, value in possible_answer.items():
-            if key not in model_output and "" not in value:
-                result["valid"] = False
-                result["error"].append(f"Missing dict key parameter: '{key}'.")  # type: ignore[attr-defined]
-                result["error_type"] = "value_error:dict_key"
-                flag = False
-                break
-
-        if flag:
-            return {"valid": True, "error": []}
-
-    return result
-
-
-def list_dict_checker(param: str, model_output: list, possible_answers: list):
-    # This function takes in a list of dictionaries and checks if each dictionary is valid
-    # The order of the dictionaries in the list must match the order of the possible answers
-
-    result = {"valid": False, "error": [], "error_type": "list_dict_checker:unclear"}
-
-    for answer_index in range(len(possible_answers)):
-        flag = True  # True means so far, all dictionaries are valid
-
-        # Only proceed if the number of dictionaries in the list matches the number of dictionaries in the possible answers
-        if len(model_output) != len(possible_answers[answer_index]):
-            result["valid"] = False
-            result["error"] = ["Wrong number of dictionaries in the list."]
-            result["error_type"] = "value_error:list_dict_count"
-            flag = False
-            continue
-
-        for dict_index in range(len(model_output)):
-            result = dict_checker(
-                param,
-                model_output[dict_index],
-                [possible_answers[answer_index][dict_index]],
-            )
-            if not result["valid"]:
-                flag = False
-                break
-        if flag:
-            return {"valid": True, "error": []}
-
-    return result
-
-
-def simple_function_checker(
-    func_description: dict,
-    model_output: dict,
-    possible_answer: dict,
-    language: str,
-    model_name: str,
-):
-    possible_answer = list(possible_answer.values())[0]
-    # Extract function name and parameters details
-    func_name = func_description["name"]
-    param_details = func_description["parameters"]["properties"]
-    required_params = func_description["parameters"]["required"]
-
-    # Initialize a result dictionary
-    result = {
-        "valid": True,
-        "error": [],
-        "error_type": "simple_function_checker:unclear",
-    }
-
-    # Check if function name matches
-    if func_name not in model_output:
-        result["valid"] = False
-        result["error"].append(  # type: ignore[attr-defined]
-            f"Function name {repr(func_name)} not found in model output."
-        )
-        result["error_type"] = "simple_function_checker:wrong_func_name"
-        return result
-
-    model_params = model_output[func_name]
-
-    # Check for required parameters in model output
-    for param in required_params:
-        if param not in model_params:
-            result["valid"] = False
-            result["error"].append(f"Missing required parameter: {repr(param)}.")  # type: ignore[attr-defined]
-            result["error_type"] = "simple_function_checker:missing_required"
-            return result
-
-    # Validate types and values for each parameter in model output
-    for param, value in model_params.items():
-        if param not in param_details or param not in possible_answer:
-            result["valid"] = False
-            result["error"].append(f"Unexpected parameter: {repr(param)}.")  # type: ignore[attr-defined]
-            result["error_type"] = "simple_function_checker:unexpected_param"
-            return result
-
-        full_param_details = param_details[param]
-        expected_type_description = full_param_details["type"]  # This is a string
-        is_variable = False
-        nested_type_converted = None
-
-        if language == "Java":
-            from evals.utils.bfcl.java_type_converter import java_type_converter
-
-            expected_type_converted = JAVA_TYPE_CONVERSION[expected_type_description]
-
-            if expected_type_description in JAVA_TYPE_CONVERSION:
-                if type(value) != str:
-                    result["valid"] = False
-                    result["error"].append(  # type: ignore[attr-defined]
-                        f"Incorrect type for parameter {repr(param)}. Expected type String, got {type(value).__name__}. Parameter value: {repr(value)}."
-                    )
-                    result["error_type"] = "type_error:java"
-                    return result
-
-                if expected_type_description in NESTED_CONVERSION_TYPE_LIST:
-                    nested_type = param_details[param]["items"]["type"]
-                    nested_type_converted = JAVA_TYPE_CONVERSION[nested_type]
-                    value = java_type_converter(value, expected_type_description, nested_type)
-                else:
-                    value = java_type_converter(value, expected_type_description)
-
-        elif language == "JavaScript":
-            from evals.utils.bfcl.js_type_converter import js_type_converter
-
-            expected_type_converted = JS_TYPE_CONVERSION[expected_type_description]
-
-            if expected_type_description in JS_TYPE_CONVERSION:
-                if type(value) != str:
-                    result["valid"] = False
-                    result["error"].append(  # type: ignore[attr-defined]
-                        f"Incorrect type for parameter {repr(param)}. Expected type String, got {type(value).__name__}. Parameter value: {repr(value)}."
-                    )
-                    result["error_type"] = "type_error:js"
-                    return result
-
-                if expected_type_description in NESTED_CONVERSION_TYPE_LIST:
-                    nested_type = param_details[param]["items"]["type"]
-                    nested_type_converted = JS_TYPE_CONVERSION[nested_type]
-                    value = js_type_converter(value, expected_type_description, nested_type)
-                else:
-                    value = js_type_converter(value, expected_type_description)
-
-        elif language == "Python":
-            expected_type_converted = PYTHON_TYPE_MAPPING[expected_type_description]
-            if expected_type_description in PYTHON_NESTED_TYPE_CHECK_LIST:
-                nested_type = param_details[param]["items"]["type"]
-                nested_type_converted = PYTHON_TYPE_MAPPING[nested_type]
-
-        # We convert all tuple value to list when the expected type is tuple.
-        # The conversion is necessary because any tuple in the possible answer would become a list after being processed through json.dump() and json.load().
-        # This does introduce some false positive (eg, when the model provides a list value instead of tuple). We hope to find a better solution in the future.
-        if expected_type_description == "tuple" and type(value) == tuple:
-            value = list(value)
-
-        # Allow python auto conversion from int to float
-        if language == "Python" and expected_type_description == "float" and type(value) == int:
-            value = float(value)
-
-        # Type checking
-        # In fact, we only check for Python here.
-        # Type check for other languages are handled by the type converter, and so their value (after conversion) is always correct.
-        type_check_result = type_checker(
-            param,
-            value,
-            possible_answer[param],
-            expected_type_description,
-            expected_type_converted,
-            nested_type_converted,
-        )
-        is_variable = type_check_result["is_variable"]
-        if not type_check_result["valid"]:
-            return type_check_result
-
-        # It doesn't make sense to special handle dictionaries and list of dictionaries if the value is a variable.
-        # We can just treat the variable as a string and use the normal flow.
-        if not is_variable:
-            # Special handle for dictionaries
-            if expected_type_converted == dict:
-                result = dict_checker(param, value, possible_answer[param])
-                if not result["valid"]:
-                    return result
-                continue
-
-            # Special handle for list of dictionaries
-            elif expected_type_converted == list and nested_type_converted == dict:
-                result = list_dict_checker(param, value, possible_answer[param])
-                if not result["valid"]:
-                    return result
-                continue
-
-            # Special handle for strings
-            elif expected_type_converted == str:
-                # We don't check for case sensitivity for string, as long as it's not a variable
-                result = string_checker(param, value, possible_answer[param])
-                if not result["valid"]:
-                    return result
-                continue
-
-            elif expected_type_converted == list:
-                result = list_checker(param, value, possible_answer[param])
-                if not result["valid"]:
-                    return result
-                continue
-
-        # Check if the value is within the possible answers
-        if value not in possible_answer[param]:
-            result["valid"] = False
-            result["error"].append(  # type: ignore[attr-defined]
-                f"Invalid value for parameter {repr(param)}: {repr(value)}. Expected one of {possible_answer[param]}."
-            )
-            result["error_type"] = "value_error:others"
-            return result
-
-    # Check for optional parameters not provided but allowed
-    for param in possible_answer:
-        if param not in model_params and "" not in possible_answer[param]:
-            result["valid"] = False
-            result["error"].append(  # type: ignore[attr-defined]
-                f"Optional parameter {repr(param)} not provided and not marked as optional."
-            )
-            result["error_type"] = "simple_function_checker:missing_optional"
-            return result
-
-    return result
-
-
-def parallel_function_checker_enforce_order(
-    func_descriptions: list,
-    model_output: list,
-    possible_answers: dict,
-    language: str,
-    model_name: str,
-):
-    if len(model_output) != len(possible_answers):
-        return {
-            "valid": False,
-            "error": ["Wrong number of functions."],
-            "error_type": "parallel_function_checker_enforce_order:wrong_count",
-        }
-
-    func_name_list = list(possible_answers.keys())
-    possible_answers_list = []
-
-    for key, value in possible_answers.items():
-        possible_answers_list.append({key: value})
-
-    for i in range(len(possible_answers_list)):
-        func_description = find_description(func_descriptions, func_name_list[i])
-
-        result = simple_function_checker(
-            func_description,
-            model_output[i],
-            possible_answers_list[i],
-            language,
-            model_name,
-        )
-        if not result["valid"]:
-            return result
-
-    return {"valid": True, "error": []}
-
-
-def parallel_function_checker_no_order(
-    func_descriptions: list,
-    model_output: list,
-    possible_answers: list,
-    language: str,
-    model_name: str,
-):
-    if len(model_output) != len(possible_answers):
-        return {
-            "valid": False,
-            "error": ["Wrong number of functions."],
-            "error_type": "parallel_function_checker_no_order:wrong_count",
-        }
-
-    matched_indices = []
-
-    # We go throught the possible answers one by one, and eliminate the model output that matches the possible answer
-    # It must be this way because we need ground truth to fetch the correct function description
-    for i in range(len(possible_answers)):
-        # possible_answers[i] is a dictionary with only one key
-        func_name_expected = list(possible_answers[i].keys())[0]
-        func_description = find_description(func_descriptions, func_name_expected)
-
-        all_errors = []
-
-        for index in range(len(model_output)):
-            if index in matched_indices:
-                continue
-
-            result = simple_function_checker(
-                func_description,
-                model_output[index],
-                possible_answers[i],
-                language,
-                model_name,
-            )
-
-            if result["valid"]:
-                matched_indices.append(index)
-                break
-            else:
-                all_errors.append(
-                    {
-                        f"Model Result Index {index}": {
-                            "sub_error": result["error"],
-                            "sub_error_type": result["error_type"],
-                            "model_output_item": model_output[index],
-                            "possible_answer_item": possible_answers[i],
-                        }
-                    }
-                )
-
-        if not result["valid"]:
-            considered_indices = [i for i in range(len(model_output)) if i not in matched_indices]
-            all_errors.insert(
-                0,
-                f"Could not find a matching function among index {considered_indices} of model output for index {i} of possible answers.",  # type: ignore[arg-type]
-            )
-            return {
-                "valid": False,
-                "error": all_errors,
-                "error_type": "parallel_function_checker_no_order:cannot_find_match",
-            }
-
-    return {"valid": True, "error": []}
-
-
-def multiple_function_checker(
-    func_descriptions: list,
-    model_output: list,
-    possible_answers: list,
-    language: str,
-    model_name: str,
-):
-    if len(model_output) != len(possible_answers):
-        return {
-            "valid": False,
-            "error": ["Wrong number of functions."],
-            "error_type": "multiple_function_checker:wrong_count",
-        }
-
-    # possible_answers is a list of only one dictionary with only one key
-    func_name_expected = list(possible_answers[0].keys())[0]
-    func_description = find_description(func_descriptions, func_name_expected)
-    return simple_function_checker(
-        func_description,
-        model_output[0],
-        possible_answers[0],
-        language,
-        model_name,
-    )
-
-
-def patten_matcher(exec_output, expected_result, function_call, is_sanity_check):
-    result = {"valid": True, "error": [], "error_type": "executable_checker:unclear"}
-
-    if type(exec_output) != type(expected_result):
-        return {
-            "valid": False,
-            "error": [
-                f"Wrong execution result type for {repr(function_call)}. Expected type: {type(expected_result)}, but got: {type(exec_output)}."
-            ],
-            "error_type": "executable_checker:wrong_result_type",
-            "model_executed_output": exec_output,
-        }
-    if type(exec_output) == dict:
-        # We loose the requirement for the sanity check as the expected result used in the sanity check might not be the most up-to-date one.
-        # This happens when the key is a timestamp or a random number.
-        if is_sanity_check:
-            if len(exec_output) != len(expected_result):
-                return {
-                    "valid": False,
-                    "error": [
-                        f"Wrong execution result pattern for {repr(function_call)}. Expect type Dict, but wrong number of elements in the output. Expected length: {len(expected_result)}, but got: {len(exec_output)}."
-                    ],
-                    "error_type": "executable_checker:wrong_result_type:dict_length",
-                    "model_executed_output": exec_output,
-                }
-            else:
-                return result
-
-        for key, value in expected_result.items():
-            if key not in exec_output:
-                return {
-                    "valid": False,
-                    "error": [
-                        f"Wrong execution result pattern for {repr(function_call)}. Expect type Dict, but key {repr(key)} not found in the model output."
-                    ],
-                    "error_type": "executable_checker:wrong_result_type:dict_key_not_found",
-                    "model_executed_output": exec_output,
-                }
-        for key, value in exec_output.items():
-            if key not in expected_result:
-                return {
-                    "valid": False,
-                    "error": [
-                        f"Wrong execution result pattern for {repr(function_call)}. Expect type Dict, but key {repr(key)} not expected in the model output."
-                    ],
-                    "error_type": "executable_checker:wrong_result_type:dict_extra_key",
-                    "model_executed_output": exec_output,
-                }
-    if type(exec_output) == list:
-        if len(exec_output) != len(expected_result):
-            return {
-                "valid": False,
-                "error": [
-                    f"Wrong execution result pattern for {repr(function_call)}. Expect type list, but wrong number of elements in the output. Expected length: {len(expected_result)}, but got: {len(exec_output)}."
-                ],
-                "error_type": "executable_checker:wrong_result_type:list_length",
-                "model_executed_output": exec_output,
-            }
-    return result
-
-
-#### Helper functions for Exec ####
-def executable_checker_simple(
-    function_call: str,
-    expected_result,
-    expected_result_type: str,
-    is_sanity_check=False,
-):
-    result = {"valid": True, "error": [], "error_type": "executable_checker:unclear"}
-
-    exec_dict: Any = {}
-
-    try:
-        exec(
-            "from executable_python_function import *" + "\nresult=" + function_call,
-            exec_dict,
-        )
-        exec_output = exec_dict["result"]
-    except NoAPIKeyError as e:
-        raise e
-    except Exception as e:
-        result["valid"] = False
-        result["error"].append(  # type: ignore[attr-defined]
-            f"Error in execution: {repr(function_call)}. Error: {str(e)}"
-        )
-        result["error_type"] = "executable_checker:execution_error"
-        return result
-
-    # We need to special handle the case where the execution result is a tuple and convert it to a list
-    # Because when json is stored, the tuple is converted to a list, and so the expected result is a list when loaded from json
-    if isinstance(exec_output, tuple):
-        exec_output = list(exec_output)
-
-    if expected_result_type == "exact_match":
-        if exec_output != expected_result:
-            result["valid"] = False
-            result["error"].append(  # type: ignore[attr-defined]
-                f"Wrong execution result for {repr(function_call)}. Expected: {expected_result}, but got: {exec_output}."
-            )
-            result["error_type"] = "executable_checker:wrong_result"
-            result["model_executed_output"] = exec_output
-            return result
-
-    elif expected_result_type == "real_time_match":
-        # Allow for 5% difference
-        if (type(expected_result) == float or type(expected_result) == int) and (
-            type(exec_output) == float or type(exec_output) == int
-        ):
-            if not (
-                expected_result * (1 - REAL_TIME_MATCH_ALLOWED_DIFFERENCE)
-                <= exec_output
-                <= expected_result * (1 + REAL_TIME_MATCH_ALLOWED_DIFFERENCE)
-            ):
-                result["valid"] = False
-                result["error"].append(  # type: ignore[attr-defined]
-                    f"Wrong execution result for {repr(function_call)}. Expected: {expected_result}, but got: {exec_output}. {REAL_TIME_MATCH_ALLOWED_DIFFERENCE * 100}% difference allowed."
-                )
-                result["error_type"] = "executable_checker:wrong_result_real_time"
-                result["model_executed_output"] = exec_output
-                return result
-        else:
-            result["valid"] = False
-            result["error"].append(  # type: ignore[attr-defined]
-                f"Wrong execution result for {repr(function_call)}. Expected: {expected_result}, but got: {exec_output}. Type needs to be float or int for real time match criteria."
-            )
-            result["error_type"] = "executable_checker:wrong_result_real_time"
-            result["model_executed_output"] = exec_output
-            return result
-
-    else:
-        # structural match
-        pattern_match_result = patten_matcher(exec_output, expected_result, function_call, is_sanity_check)
-        if not pattern_match_result["valid"]:
-            return pattern_match_result
-
-    return result
-
-
-def executable_checker_parallel_no_order(
-    decoded_result: list, expected_exec_result: list, expected_exec_result_type: list
-):
-    if len(decoded_result) != len(expected_exec_result):
-        return {
-            "valid": False,
-            "error": [
-                f"Wrong number of functions provided. Expected {len(expected_exec_result)}, but got {len(decoded_result)}."
-            ],
-            "error_type": "value_error:exec_result_count",
-        }
-
-    matched_indices = []
-    for i in range(len(expected_exec_result)):
-        all_errors = []
-        for index in range(len(decoded_result)):
-            if index in matched_indices:
-                continue
-
-            result = executable_checker_simple(
-                decoded_result[index],
-                expected_exec_result[i],
-                expected_exec_result_type[i],
-                False,
-            )
-
-            if result["valid"]:
-                matched_indices.append(index)
-                break
-            else:
-                all_errors.append(
-                    {
-                        f"Model Result Index {index}": {
-                            "sub_error": result["error"],
-                            "sub_error_type": result["error_type"],
-                            "model_executed_output": (
-                                result["model_executed_output"] if "model_executed_output" in result else None
-                            ),
-                        }
-                    }
-                )
-
-        if not result["valid"]:
-            considered_indices = [i for i in range(len(decoded_result)) if i not in matched_indices]
-            all_errors.insert(
-                0,
-                f"Could not find a matching function among index {considered_indices} of model output for index {i} of possible answers.",  # type: ignore[arg-type]
-            )
-            return {
-                "valid": False,
-                "error": all_errors,
-                "error_type": "executable_checker:cannot_find_match",
-            }
-
-    return {"valid": True, "error": [], "error_type": "executable_checker:unclear"}
-
-
-#### Main function ####
-def executable_checker_rest(func_call, idx):
-    # Move this here for now to avoid needing to read this file / fix paths to be relative to dataset_dir. Fix when it's actually needed / used.
-    EVAL_GROUND_TRUTH_PATH = "/mnt/wsfuse/fair_llm_v2/datasets/eval/bfcl/rest-eval-response_v5.jsonl"  # Ground truth file for v5 for rest execution
-    with open(EVAL_GROUND_TRUTH_PATH, "r") as f:
-        EVAL_GROUND_TRUTH = f.readlines()
-    if "https://geocode.maps.co" in func_call:
-        time.sleep(2)
-    if "requests_get" in func_call:
-        func_call = func_call.replace("requests_get", "requests.get")
-    try:
-        response = eval(func_call)
-    except Exception as e:
-        return {
-            "valid": False,
-            "error": [f"Execution failed. {str(e)}"],
-            "error_type": "executable_checker_rest:execution_error",
-        }
-
-    try:
-        if response.status_code == 200:
-            eval_GT_json = json.loads(EVAL_GROUND_TRUTH[idx])
-            try:
-                if isinstance(eval_GT_json, dict):
-                    if isinstance(response.json(), dict):
-                        if set(eval_GT_json.keys()) == set(response.json().keys()):
-                            return {"valid": True, "error": [], "error_type": ""}
-                        return {
-                            "valid": False,
-                            "error": ["Key inconsistency"],
-                            "error_type": "executable_checker_rest:wrong_key",
-                        }
-                    return {
-                        "valid": False,
-                        "error": [f"Expected dictionary, but got {type(response.json())}"],
-                        "error_type": "executable_checker_rest:wrong_type",
-                    }
-
-                elif isinstance(eval_GT_json, list):
-                    if isinstance(response.json(), list):
-                        if len(eval_GT_json) != len(response.json()):
-                            return {
-                                "valid": False,
-                                "error": [f"Response list length inconsistency."],
-                                "error_type": "value_error:exec_result_rest_count",
-                            }
-
-                        else:
-                            for i in range(len(eval_GT_json)):
-                                if set(eval_GT_json[i].keys()) != set(response.json()[i].keys()):
-                                    return {
-                                        "valid": False,
-                                        "error": [f"Key inconsistency"],
-                                        "error_type": "executable_checker_rest:wrong_key",
-                                    }
-
-                            return {"valid": True, "error": []}
-                    else:
-                        return {
-                            "valid": False,
-                            "error": [f"Expected list, but got {type(response.json())}"],
-                            "error_type": "executable_checker_rest:wrong_type",
-                        }
-                return {
-                    "valid": False,
-                    "error": [f"Expected dict or list, but got {type(response.json())}"],
-                    "error_type": "executable_checker_rest:wrong_type",
-                }
-            except Exception as e:
-                return {
-                    "valid": False,
-                    "error": [
-                        f"Error in execution and type checking. Status code: {response.status_code}. Error: {str(e)}"
-                    ],
-                    "error_type": "executable_checker_rest:response_format_error",
-                }
-        else:
-            return {
-                "valid": False,
-                "error": [f"Execution result status code is not 200, got {response.status_code}"],
-                "error_type": "executable_checker_rest:wrong_status_code",
-            }
-    except Exception as e:
-        return {
-            "valid": False,
-            "error": [f"Cannot get status code of the response. Error: {str(e)}"],
-            "error_type": "executable_checker_rest:cannot_get_status_code",
-        }
-
-
-def ast_checker(func_description, model_output, possible_answer, language, test_category, model_name):
-    if "parallel" in test_category:
-        return parallel_function_checker_no_order(func_description, model_output, possible_answer, language, model_name)
-
-    elif "multiple" in test_category:
-        return multiple_function_checker(func_description, model_output, possible_answer, language, model_name)
-
-    else:
-        if len(model_output) != 1:
-            return {
-                "valid": False,
-                "error": ["Wrong number of functions."],
-                "error_type": "simple_function_checker:wrong_count",
-            }
-
-        return simple_function_checker(
-            func_description[0],
-            model_output[0],
-            possible_answer[0],
-            language,
-            model_name,
-        )
-
-
-def exec_checker(decoded_result: list, func_description: dict, test_category: str):
-    if "multiple" in test_category or "parallel" in test_category:
-        return executable_checker_parallel_no_order(
-            decoded_result,
-            func_description["execution_result"],
-            func_description["execution_result_type"],
-        )
-
-    else:
-        if len(decoded_result) != 1:
-            return {
-                "valid": False,
-                "error": ["Wrong number of functions."],
-                "error_type": "simple_exec_checker:wrong_count",
-            }
-        return executable_checker_simple(
-            decoded_result[0],
-            func_description["execution_result"][0],
-            func_description["execution_result_type"][0],
-            False,
-        )
-
-
-def is_empty_output(decoded_output):
-    # This function is a patch to the ast decoder for relevance detection
-    # Sometimes the ast decoder will parse successfully, but the input doens't really have a function call
-    # [], [{}], and anything that is not in function calling format is considered empty (and thus should be marked as correct)
-    if not is_function_calling_format_output(decoded_output):
-        return True
-    if len(decoded_output) == 0:
-        return True
-    if len(decoded_output) == 1 and len(decoded_output[0]) == 0:
-        return True
-
-
-def is_function_calling_format_output(decoded_output):
-    # Ensure the output is a list of dictionaries
-    if type(decoded_output) == list:
-        for item in decoded_output:
-            if type(item) != dict:
-                return False
-        return True
-    return False
diff --git a/llama_stack/providers/inline/scoring/basic/utils/bfcl/tree_sitter.py b/llama_stack/providers/inline/scoring/basic/utils/bfcl/tree_sitter.py
deleted file mode 100644
index ed97ee360..000000000
--- a/llama_stack/providers/inline/scoring/basic/utils/bfcl/tree_sitter.py
+++ /dev/null
@@ -1,40 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-"""
-Tree-sitter changes its API with unfortunate frequency. Modules that need it should
-import it from here so that we can centrally manage things as necessary.
-"""
-
-# These currently work with tree-sitter 0.23.0
-# NOTE: Don't import tree-sitter or any of the language modules in the main module
-# because not all environments have them. Import lazily inside functions where needed.
-
-import importlib
-import typing
-
-if typing.TYPE_CHECKING:
-    import tree_sitter
-
-
-def get_language(language: str) -> "tree_sitter.Language":
-    import tree_sitter
-
-    language_module_name = f"tree_sitter_{language}"
-    try:
-        language_module = importlib.import_module(language_module_name)
-    except ModuleNotFoundError as exc:
-        raise ValueError(
-            f"Language {language} is not found. Please install the tree-sitter-{language} package."
-        ) from exc
-    return tree_sitter.Language(language_module.language())
-
-
-def get_parser(language: str, **kwargs) -> "tree_sitter.Parser":
-    import tree_sitter
-
-    lang = get_language(language)
-    return tree_sitter.Parser(lang, **kwargs)
diff --git a/llama_stack/providers/inline/scoring/basic/utils/ifeval_utils.py b/llama_stack/providers/inline/scoring/basic/utils/ifeval_utils.py
deleted file mode 100644
index 28605159f..000000000
--- a/llama_stack/providers/inline/scoring/basic/utils/ifeval_utils.py
+++ /dev/null
@@ -1,3319 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-import collections
-import functools
-import json
-import logging
-import random
-import re
-import string
-from types import MappingProxyType
-from typing import Dict, Iterable, List, Optional, Sequence, Union
-
-import emoji
-import langdetect
-import nltk
-from pythainlp.tokenize import sent_tokenize as sent_tokenize_thai
-from pythainlp.tokenize import word_tokenize as word_tokenize_thai
-
-logger = logging.getLogger()
-
-WORD_LIST = [
-    "western",
-    "sentence",
-    "signal",
-    "dump",
-    "spot",
-    "opposite",
-    "bottom",
-    "potato",
-    "administration",
-    "working",
-    "welcome",
-    "morning",
-    "good",
-    "agency",
-    "primary",
-    "wish",
-    "responsibility",
-    "press",
-    "problem",
-    "president",
-    "steal",
-    "brush",
-    "read",
-    "type",
-    "beat",
-    "trainer",
-    "growth",
-    "lock",
-    "bone",
-    "case",
-    "equal",
-    "comfortable",
-    "region",
-    "replacement",
-    "performance",
-    "mate",
-    "walk",
-    "medicine",
-    "film",
-    "thing",
-    "rock",
-    "tap",
-    "total",
-    "competition",
-    "ease",
-    "south",
-    "establishment",
-    "gather",
-    "parking",
-    "world",
-    "plenty",
-    "breath",
-    "claim",
-    "alcohol",
-    "trade",
-    "dear",
-    "highlight",
-    "street",
-    "matter",
-    "decision",
-    "mess",
-    "agreement",
-    "studio",
-    "coach",
-    "assist",
-    "brain",
-    "wing",
-    "style",
-    "private",
-    "top",
-    "brown",
-    "leg",
-    "buy",
-    "procedure",
-    "method",
-    "speed",
-    "high",
-    "company",
-    "valuable",
-    "pie",
-    "analyst",
-    "session",
-    "pattern",
-    "district",
-    "pleasure",
-    "dinner",
-    "swimming",
-    "joke",
-    "order",
-    "plate",
-    "department",
-    "motor",
-    "cell",
-    "spend",
-    "cabinet",
-    "difference",
-    "power",
-    "examination",
-    "engine",
-    "horse",
-    "dimension",
-    "pay",
-    "toe",
-    "curve",
-    "literature",
-    "bother",
-    "fire",
-    "possibility",
-    "debate",
-    "activity",
-    "passage",
-    "hello",
-    "cycle",
-    "background",
-    "quiet",
-    "author",
-    "effect",
-    "actor",
-    "page",
-    "bicycle",
-    "error",
-    "throat",
-    "attack",
-    "character",
-    "phone",
-    "tea",
-    "increase",
-    "outcome",
-    "file",
-    "specific",
-    "inspector",
-    "internal",
-    "potential",
-    "staff",
-    "building",
-    "employer",
-    "shoe",
-    "hand",
-    "direction",
-    "garden",
-    "purchase",
-    "interview",
-    "study",
-    "recognition",
-    "member",
-    "spiritual",
-    "oven",
-    "sandwich",
-    "weird",
-    "passenger",
-    "particular",
-    "response",
-    "reaction",
-    "size",
-    "variation",
-    "a",
-    "cancel",
-    "candy",
-    "exit",
-    "guest",
-    "condition",
-    "fly",
-    "price",
-    "weakness",
-    "convert",
-    "hotel",
-    "great",
-    "mouth",
-    "mind",
-    "song",
-    "sugar",
-    "suspect",
-    "telephone",
-    "ear",
-    "roof",
-    "paint",
-    "refrigerator",
-    "organization",
-    "jury",
-    "reward",
-    "engineering",
-    "day",
-    "possession",
-    "crew",
-    "bar",
-    "road",
-    "description",
-    "celebration",
-    "score",
-    "mark",
-    "letter",
-    "shower",
-    "suggestion",
-    "sir",
-    "luck",
-    "national",
-    "progress",
-    "hall",
-    "stroke",
-    "theory",
-    "offer",
-    "story",
-    "tax",
-    "definition",
-    "history",
-    "ride",
-    "medium",
-    "opening",
-    "glass",
-    "elevator",
-    "stomach",
-    "question",
-    "ability",
-    "leading",
-    "village",
-    "computer",
-    "city",
-    "grand",
-    "confidence",
-    "candle",
-    "priest",
-    "recommendation",
-    "point",
-    "necessary",
-    "body",
-    "desk",
-    "secret",
-    "horror",
-    "noise",
-    "culture",
-    "warning",
-    "water",
-    "round",
-    "diet",
-    "flower",
-    "bus",
-    "tough",
-    "permission",
-    "week",
-    "prompt",
-    "connection",
-    "abuse",
-    "height",
-    "save",
-    "corner",
-    "border",
-    "stress",
-    "drive",
-    "stop",
-    "rip",
-    "meal",
-    "listen",
-    "confusion",
-    "girlfriend",
-    "living",
-    "relation",
-    "significance",
-    "plan",
-    "creative",
-    "atmosphere",
-    "blame",
-    "invite",
-    "housing",
-    "paper",
-    "drink",
-    "roll",
-    "silver",
-    "drunk",
-    "age",
-    "damage",
-    "smoke",
-    "environment",
-    "pack",
-    "savings",
-    "influence",
-    "tourist",
-    "rain",
-    "post",
-    "sign",
-    "grandmother",
-    "run",
-    "profit",
-    "push",
-    "clerk",
-    "final",
-    "wine",
-    "swim",
-    "pause",
-    "stuff",
-    "singer",
-    "funeral",
-    "average",
-    "source",
-    "scene",
-    "tradition",
-    "personal",
-    "snow",
-    "nobody",
-    "distance",
-    "sort",
-    "sensitive",
-    "animal",
-    "major",
-    "negotiation",
-    "click",
-    "mood",
-    "period",
-    "arrival",
-    "expression",
-    "holiday",
-    "repeat",
-    "dust",
-    "closet",
-    "gold",
-    "bad",
-    "sail",
-    "combination",
-    "clothes",
-    "emphasis",
-    "duty",
-    "black",
-    "step",
-    "school",
-    "jump",
-    "document",
-    "professional",
-    "lip",
-    "chemical",
-    "front",
-    "wake",
-    "while",
-    "inside",
-    "watch",
-    "row",
-    "subject",
-    "penalty",
-    "balance",
-    "possible",
-    "adult",
-    "aside",
-    "sample",
-    "appeal",
-    "wedding",
-    "depth",
-    "king",
-    "award",
-    "wife",
-    "blow",
-    "site",
-    "camp",
-    "music",
-    "safe",
-    "gift",
-    "fault",
-    "guess",
-    "act",
-    "shame",
-    "drama",
-    "capital",
-    "exam",
-    "stupid",
-    "record",
-    "sound",
-    "swing",
-    "novel",
-    "minimum",
-    "ratio",
-    "machine",
-    "shape",
-    "lead",
-    "operation",
-    "salary",
-    "cloud",
-    "affair",
-    "hit",
-    "chapter",
-    "stage",
-    "quantity",
-    "access",
-    "army",
-    "chain",
-    "traffic",
-    "kick",
-    "analysis",
-    "airport",
-    "time",
-    "vacation",
-    "philosophy",
-    "ball",
-    "chest",
-    "thanks",
-    "place",
-    "mountain",
-    "advertising",
-    "red",
-    "past",
-    "rent",
-    "return",
-    "tour",
-    "house",
-    "construction",
-    "net",
-    "native",
-    "war",
-    "figure",
-    "fee",
-    "spray",
-    "user",
-    "dirt",
-    "shot",
-    "task",
-    "stick",
-    "friend",
-    "software",
-    "promotion",
-    "interaction",
-    "surround",
-    "block",
-    "purpose",
-    "practice",
-    "conflict",
-    "routine",
-    "requirement",
-    "bonus",
-    "hole",
-    "state",
-    "junior",
-    "sweet",
-    "catch",
-    "tear",
-    "fold",
-    "wall",
-    "editor",
-    "life",
-    "position",
-    "pound",
-    "respect",
-    "bathroom",
-    "coat",
-    "script",
-    "job",
-    "teach",
-    "birth",
-    "view",
-    "resolve",
-    "theme",
-    "employee",
-    "doubt",
-    "market",
-    "education",
-    "serve",
-    "recover",
-    "tone",
-    "harm",
-    "miss",
-    "union",
-    "understanding",
-    "cow",
-    "river",
-    "association",
-    "concept",
-    "training",
-    "recipe",
-    "relationship",
-    "reserve",
-    "depression",
-    "proof",
-    "hair",
-    "revenue",
-    "independent",
-    "lift",
-    "assignment",
-    "temporary",
-    "amount",
-    "loss",
-    "edge",
-    "track",
-    "check",
-    "rope",
-    "estimate",
-    "pollution",
-    "stable",
-    "message",
-    "delivery",
-    "perspective",
-    "mirror",
-    "assistant",
-    "representative",
-    "witness",
-    "nature",
-    "judge",
-    "fruit",
-    "tip",
-    "devil",
-    "town",
-    "emergency",
-    "upper",
-    "drop",
-    "stay",
-    "human",
-    "neck",
-    "speaker",
-    "network",
-    "sing",
-    "resist",
-    "league",
-    "trip",
-    "signature",
-    "lawyer",
-    "importance",
-    "gas",
-    "choice",
-    "engineer",
-    "success",
-    "part",
-    "external",
-    "worker",
-    "simple",
-    "quarter",
-    "student",
-    "heart",
-    "pass",
-    "spite",
-    "shift",
-    "rough",
-    "lady",
-    "grass",
-    "community",
-    "garage",
-    "youth",
-    "standard",
-    "skirt",
-    "promise",
-    "blind",
-    "television",
-    "disease",
-    "commission",
-    "positive",
-    "energy",
-    "calm",
-    "presence",
-    "tune",
-    "basis",
-    "preference",
-    "head",
-    "common",
-    "cut",
-    "somewhere",
-    "presentation",
-    "current",
-    "thought",
-    "revolution",
-    "effort",
-    "master",
-    "implement",
-    "republic",
-    "floor",
-    "principle",
-    "stranger",
-    "shoulder",
-    "grade",
-    "button",
-    "tennis",
-    "police",
-    "collection",
-    "account",
-    "register",
-    "glove",
-    "divide",
-    "professor",
-    "chair",
-    "priority",
-    "combine",
-    "peace",
-    "extension",
-    "maybe",
-    "evening",
-    "frame",
-    "sister",
-    "wave",
-    "code",
-    "application",
-    "mouse",
-    "match",
-    "counter",
-    "bottle",
-    "half",
-    "cheek",
-    "resolution",
-    "back",
-    "knowledge",
-    "make",
-    "discussion",
-    "screw",
-    "length",
-    "accident",
-    "battle",
-    "dress",
-    "knee",
-    "log",
-    "package",
-    "it",
-    "turn",
-    "hearing",
-    "newspaper",
-    "layer",
-    "wealth",
-    "profile",
-    "imagination",
-    "answer",
-    "weekend",
-    "teacher",
-    "appearance",
-    "meet",
-    "bike",
-    "rise",
-    "belt",
-    "crash",
-    "bowl",
-    "equivalent",
-    "support",
-    "image",
-    "poem",
-    "risk",
-    "excitement",
-    "remote",
-    "secretary",
-    "public",
-    "produce",
-    "plane",
-    "display",
-    "money",
-    "sand",
-    "situation",
-    "punch",
-    "customer",
-    "title",
-    "shake",
-    "mortgage",
-    "option",
-    "number",
-    "pop",
-    "window",
-    "extent",
-    "nothing",
-    "experience",
-    "opinion",
-    "departure",
-    "dance",
-    "indication",
-    "boy",
-    "material",
-    "band",
-    "leader",
-    "sun",
-    "beautiful",
-    "muscle",
-    "farmer",
-    "variety",
-    "fat",
-    "handle",
-    "director",
-    "opportunity",
-    "calendar",
-    "outside",
-    "pace",
-    "bath",
-    "fish",
-    "consequence",
-    "put",
-    "owner",
-    "go",
-    "doctor",
-    "information",
-    "share",
-    "hurt",
-    "protection",
-    "career",
-    "finance",
-    "force",
-    "golf",
-    "garbage",
-    "aspect",
-    "kid",
-    "food",
-    "boot",
-    "milk",
-    "respond",
-    "objective",
-    "reality",
-    "raw",
-    "ring",
-    "mall",
-    "one",
-    "impact",
-    "area",
-    "news",
-    "international",
-    "series",
-    "impress",
-    "mother",
-    "shelter",
-    "strike",
-    "loan",
-    "month",
-    "seat",
-    "anything",
-    "entertainment",
-    "familiar",
-    "clue",
-    "year",
-    "glad",
-    "supermarket",
-    "natural",
-    "god",
-    "cost",
-    "conversation",
-    "tie",
-    "ruin",
-    "comfort",
-    "earth",
-    "storm",
-    "percentage",
-    "assistance",
-    "budget",
-    "strength",
-    "beginning",
-    "sleep",
-    "other",
-    "young",
-    "unit",
-    "fill",
-    "store",
-    "desire",
-    "hide",
-    "value",
-    "cup",
-    "maintenance",
-    "nurse",
-    "function",
-    "tower",
-    "role",
-    "class",
-    "camera",
-    "database",
-    "panic",
-    "nation",
-    "basket",
-    "ice",
-    "art",
-    "spirit",
-    "chart",
-    "exchange",
-    "feedback",
-    "statement",
-    "reputation",
-    "search",
-    "hunt",
-    "exercise",
-    "nasty",
-    "notice",
-    "male",
-    "yard",
-    "annual",
-    "collar",
-    "date",
-    "platform",
-    "plant",
-    "fortune",
-    "passion",
-    "friendship",
-    "spread",
-    "cancer",
-    "ticket",
-    "attitude",
-    "island",
-    "active",
-    "object",
-    "service",
-    "buyer",
-    "bite",
-    "card",
-    "face",
-    "steak",
-    "proposal",
-    "patient",
-    "heat",
-    "rule",
-    "resident",
-    "broad",
-    "politics",
-    "west",
-    "knife",
-    "expert",
-    "girl",
-    "design",
-    "salt",
-    "baseball",
-    "grab",
-    "inspection",
-    "cousin",
-    "couple",
-    "magazine",
-    "cook",
-    "dependent",
-    "security",
-    "chicken",
-    "version",
-    "currency",
-    "ladder",
-    "scheme",
-    "kitchen",
-    "employment",
-    "local",
-    "attention",
-    "manager",
-    "fact",
-    "cover",
-    "sad",
-    "guard",
-    "relative",
-    "county",
-    "rate",
-    "lunch",
-    "program",
-    "initiative",
-    "gear",
-    "bridge",
-    "breast",
-    "talk",
-    "dish",
-    "guarantee",
-    "beer",
-    "vehicle",
-    "reception",
-    "woman",
-    "substance",
-    "copy",
-    "lecture",
-    "advantage",
-    "park",
-    "cold",
-    "death",
-    "mix",
-    "hold",
-    "scale",
-    "tomorrow",
-    "blood",
-    "request",
-    "green",
-    "cookie",
-    "church",
-    "strip",
-    "forever",
-    "beyond",
-    "debt",
-    "tackle",
-    "wash",
-    "following",
-    "feel",
-    "maximum",
-    "sector",
-    "sea",
-    "property",
-    "economics",
-    "menu",
-    "bench",
-    "try",
-    "language",
-    "start",
-    "call",
-    "solid",
-    "address",
-    "income",
-    "foot",
-    "senior",
-    "honey",
-    "few",
-    "mixture",
-    "cash",
-    "grocery",
-    "link",
-    "map",
-    "form",
-    "factor",
-    "pot",
-    "model",
-    "writer",
-    "farm",
-    "winter",
-    "skill",
-    "anywhere",
-    "birthday",
-    "policy",
-    "release",
-    "husband",
-    "lab",
-    "hurry",
-    "mail",
-    "equipment",
-    "sink",
-    "pair",
-    "driver",
-    "consideration",
-    "leather",
-    "skin",
-    "blue",
-    "boat",
-    "sale",
-    "brick",
-    "two",
-    "feed",
-    "square",
-    "dot",
-    "rush",
-    "dream",
-    "location",
-    "afternoon",
-    "manufacturer",
-    "control",
-    "occasion",
-    "trouble",
-    "introduction",
-    "advice",
-    "bet",
-    "eat",
-    "kill",
-    "category",
-    "manner",
-    "office",
-    "estate",
-    "pride",
-    "awareness",
-    "slip",
-    "crack",
-    "client",
-    "nail",
-    "shoot",
-    "membership",
-    "soft",
-    "anybody",
-    "web",
-    "official",
-    "individual",
-    "pizza",
-    "interest",
-    "bag",
-    "spell",
-    "profession",
-    "queen",
-    "deal",
-    "resource",
-    "ship",
-    "guy",
-    "chocolate",
-    "joint",
-    "formal",
-    "upstairs",
-    "car",
-    "resort",
-    "abroad",
-    "dealer",
-    "associate",
-    "finger",
-    "surgery",
-    "comment",
-    "team",
-    "detail",
-    "crazy",
-    "path",
-    "tale",
-    "initial",
-    "arm",
-    "radio",
-    "demand",
-    "single",
-    "draw",
-    "yellow",
-    "contest",
-    "piece",
-    "quote",
-    "pull",
-    "commercial",
-    "shirt",
-    "contribution",
-    "cream",
-    "channel",
-    "suit",
-    "discipline",
-    "instruction",
-    "concert",
-    "speech",
-    "low",
-    "effective",
-    "hang",
-    "scratch",
-    "industry",
-    "breakfast",
-    "lay",
-    "join",
-    "metal",
-    "bedroom",
-    "minute",
-    "product",
-    "rest",
-    "temperature",
-    "many",
-    "give",
-    "argument",
-    "print",
-    "purple",
-    "laugh",
-    "health",
-    "credit",
-    "investment",
-    "sell",
-    "setting",
-    "lesson",
-    "egg",
-    "middle",
-    "marriage",
-    "level",
-    "evidence",
-    "phrase",
-    "love",
-    "self",
-    "benefit",
-    "guidance",
-    "affect",
-    "you",
-    "dad",
-    "anxiety",
-    "special",
-    "boyfriend",
-    "test",
-    "blank",
-    "payment",
-    "soup",
-    "obligation",
-    "reply",
-    "smile",
-    "deep",
-    "complaint",
-    "addition",
-    "review",
-    "box",
-    "towel",
-    "minor",
-    "fun",
-    "soil",
-    "issue",
-    "cigarette",
-    "internet",
-    "gain",
-    "tell",
-    "entry",
-    "spare",
-    "incident",
-    "family",
-    "refuse",
-    "branch",
-    "can",
-    "pen",
-    "grandfather",
-    "constant",
-    "tank",
-    "uncle",
-    "climate",
-    "ground",
-    "volume",
-    "communication",
-    "kind",
-    "poet",
-    "child",
-    "screen",
-    "mine",
-    "quit",
-    "gene",
-    "lack",
-    "charity",
-    "memory",
-    "tooth",
-    "fear",
-    "mention",
-    "marketing",
-    "reveal",
-    "reason",
-    "court",
-    "season",
-    "freedom",
-    "land",
-    "sport",
-    "audience",
-    "classroom",
-    "law",
-    "hook",
-    "win",
-    "carry",
-    "eye",
-    "smell",
-    "distribution",
-    "research",
-    "country",
-    "dare",
-    "hope",
-    "whereas",
-    "stretch",
-    "library",
-    "if",
-    "delay",
-    "college",
-    "plastic",
-    "book",
-    "present",
-    "use",
-    "worry",
-    "champion",
-    "goal",
-    "economy",
-    "march",
-    "election",
-    "reflection",
-    "midnight",
-    "slide",
-    "inflation",
-    "action",
-    "challenge",
-    "guitar",
-    "coast",
-    "apple",
-    "campaign",
-    "field",
-    "jacket",
-    "sense",
-    "way",
-    "visual",
-    "remove",
-    "weather",
-    "trash",
-    "cable",
-    "regret",
-    "buddy",
-    "beach",
-    "historian",
-    "courage",
-    "sympathy",
-    "truck",
-    "tension",
-    "permit",
-    "nose",
-    "bed",
-    "son",
-    "person",
-    "base",
-    "meat",
-    "usual",
-    "air",
-    "meeting",
-    "worth",
-    "game",
-    "independence",
-    "physical",
-    "brief",
-    "play",
-    "raise",
-    "board",
-    "she",
-    "key",
-    "writing",
-    "pick",
-    "command",
-    "party",
-    "yesterday",
-    "spring",
-    "candidate",
-    "physics",
-    "university",
-    "concern",
-    "development",
-    "change",
-    "string",
-    "target",
-    "instance",
-    "room",
-    "bitter",
-    "bird",
-    "football",
-    "normal",
-    "split",
-    "impression",
-    "wood",
-    "long",
-    "meaning",
-    "stock",
-    "cap",
-    "leadership",
-    "media",
-    "ambition",
-    "fishing",
-    "essay",
-    "salad",
-    "repair",
-    "today",
-    "designer",
-    "night",
-    "bank",
-    "drawing",
-    "inevitable",
-    "phase",
-    "vast",
-    "chip",
-    "anger",
-    "switch",
-    "cry",
-    "twist",
-    "personality",
-    "attempt",
-    "storage",
-    "being",
-    "preparation",
-    "bat",
-    "selection",
-    "white",
-    "technology",
-    "contract",
-    "side",
-    "section",
-    "station",
-    "till",
-    "structure",
-    "tongue",
-    "taste",
-    "truth",
-    "difficulty",
-    "group",
-    "limit",
-    "main",
-    "move",
-    "feeling",
-    "light",
-    "example",
-    "mission",
-    "might",
-    "wait",
-    "wheel",
-    "shop",
-    "host",
-    "classic",
-    "alternative",
-    "cause",
-    "agent",
-    "consist",
-    "table",
-    "airline",
-    "text",
-    "pool",
-    "craft",
-    "range",
-    "fuel",
-    "tool",
-    "partner",
-    "load",
-    "entrance",
-    "deposit",
-    "hate",
-    "article",
-    "video",
-    "summer",
-    "feature",
-    "extreme",
-    "mobile",
-    "hospital",
-    "flight",
-    "fall",
-    "pension",
-    "piano",
-    "fail",
-    "result",
-    "rub",
-    "gap",
-    "system",
-    "report",
-    "suck",
-    "ordinary",
-    "wind",
-    "nerve",
-    "ask",
-    "shine",
-    "note",
-    "line",
-    "mom",
-    "perception",
-    "brother",
-    "reference",
-    "bend",
-    "charge",
-    "treat",
-    "trick",
-    "term",
-    "homework",
-    "bake",
-    "bid",
-    "status",
-    "project",
-    "strategy",
-    "orange",
-    "let",
-    "enthusiasm",
-    "parent",
-    "concentrate",
-    "device",
-    "travel",
-    "poetry",
-    "business",
-    "society",
-    "kiss",
-    "end",
-    "vegetable",
-    "employ",
-    "schedule",
-    "hour",
-    "brave",
-    "focus",
-    "process",
-    "movie",
-    "illegal",
-    "general",
-    "coffee",
-    "ad",
-    "highway",
-    "chemistry",
-    "psychology",
-    "hire",
-    "bell",
-    "conference",
-    "relief",
-    "show",
-    "neat",
-    "funny",
-    "weight",
-    "quality",
-    "club",
-    "daughter",
-    "zone",
-    "touch",
-    "tonight",
-    "shock",
-    "burn",
-    "excuse",
-    "name",
-    "survey",
-    "landscape",
-    "advance",
-    "satisfaction",
-    "bread",
-    "disaster",
-    "item",
-    "hat",
-    "prior",
-    "shopping",
-    "visit",
-    "east",
-    "photo",
-    "home",
-    "idea",
-    "father",
-    "comparison",
-    "cat",
-    "pipe",
-    "winner",
-    "count",
-    "lake",
-    "fight",
-    "prize",
-    "foundation",
-    "dog",
-    "keep",
-    "ideal",
-    "fan",
-    "struggle",
-    "peak",
-    "safety",
-    "solution",
-    "hell",
-    "conclusion",
-    "population",
-    "strain",
-    "alarm",
-    "measurement",
-    "second",
-    "train",
-    "race",
-    "due",
-    "insurance",
-    "boss",
-    "tree",
-    "monitor",
-    "sick",
-    "course",
-    "drag",
-    "appointment",
-    "slice",
-    "still",
-    "care",
-    "patience",
-    "rich",
-    "escape",
-    "emotion",
-    "royal",
-    "female",
-    "childhood",
-    "government",
-    "picture",
-    "will",
-    "sock",
-    "big",
-    "gate",
-    "oil",
-    "cross",
-    "pin",
-    "improvement",
-    "championship",
-    "silly",
-    "help",
-    "sky",
-    "pitch",
-    "man",
-    "diamond",
-    "most",
-    "transition",
-    "work",
-    "science",
-    "committee",
-    "moment",
-    "fix",
-    "teaching",
-    "dig",
-    "specialist",
-    "complex",
-    "guide",
-    "people",
-    "dead",
-    "voice",
-    "original",
-    "break",
-    "topic",
-    "data",
-    "degree",
-    "reading",
-    "recording",
-    "bunch",
-    "reach",
-    "judgment",
-    "lie",
-    "regular",
-    "set",
-    "painting",
-    "mode",
-    "list",
-    "player",
-    "bear",
-    "north",
-    "wonder",
-    "carpet",
-    "heavy",
-    "officer",
-    "negative",
-    "clock",
-    "unique",
-    "baby",
-    "pain",
-    "assumption",
-    "disk",
-    "iron",
-    "bill",
-    "drawer",
-    "look",
-    "double",
-    "mistake",
-    "finish",
-    "future",
-    "brilliant",
-    "contact",
-    "math",
-    "rice",
-    "leave",
-    "restaurant",
-    "discount",
-    "sex",
-    "virus",
-    "bit",
-    "trust",
-    "event",
-    "wear",
-    "juice",
-    "failure",
-    "bug",
-    "context",
-    "mud",
-    "whole",
-    "wrap",
-    "intention",
-    "draft",
-    "pressure",
-    "cake",
-    "dark",
-    "explanation",
-    "space",
-    "angle",
-    "word",
-    "efficiency",
-    "management",
-    "habit",
-    "star",
-    "chance",
-    "finding",
-    "transportation",
-    "stand",
-    "criticism",
-    "flow",
-    "door",
-    "injury",
-    "insect",
-    "surprise",
-    "apartment",
-]  # pylint: disable=line-too-long
-
-# ISO 639-1 codes to language names.
-LANGUAGE_CODES = MappingProxyType(
-    {
-        "en": "English",
-        "es": "Spanish",
-        "pt": "Portuguese",
-        "ar": "Arabic",
-        "hi": "Hindi",
-        "fr": "French",
-        "ru": "Russian",
-        "de": "German",
-        "ja": "Japanese",
-        "it": "Italian",
-        "bn": "Bengali",
-        "uk": "Ukrainian",
-        "th": "Thai",
-        "ur": "Urdu",
-        "ta": "Tamil",
-        "te": "Telugu",
-        "bg": "Bulgarian",
-        "ko": "Korean",
-        "pl": "Polish",
-        "he": "Hebrew",
-        "fa": "Persian",
-        "vi": "Vietnamese",
-        "ne": "Nepali",
-        "sw": "Swahili",
-        "kn": "Kannada",
-        "mr": "Marathi",
-        "gu": "Gujarati",
-        "pa": "Punjabi",
-        "ml": "Malayalam",
-        "fi": "Finnish",
-    }
-)
-
-# Chinese characters
-_CHINESE_CHARS_PATTERN = r"[\u4E00-\u9FFF\u3400-\u4DBF]"
-# Japanese Hiragana & Katakana
-_JAPANESE_CHARS_PATTERN = r"[\u3040-\u309f\u30a0-\u30ff]"
-# Korean (Hangul Syllables)
-_KOREAN_CHARS_PATTERN = r"[\uAC00-\uD7AF]"
-_ALPHABETS = "([A-Za-z])"
-_PREFIXES = "(Mr|St|Mrs|Ms|Dr)[.]"
-_SUFFIXES = "(Inc|Ltd|Jr|Sr|Co)"
-_STARTERS = (
-    r"(Mr|Mrs|Ms|Dr|Prof|Capt|Cpt|Lt|He\s|She\s|It\s|They\s|Their\s|Our\s|We\s|But\s|However\s|That\s|This\s|Wherever)"
-)
-_ACRONYMS = "([A-Z][.][A-Z][.](?:[A-Z][.])?)"
-_WEBSITES = "[.](com|net|org|io|gov|edu|me)"
-_DIGITS = "([0-9])"
-_MULTIPLE_DOTS = r"\.{2,}"
-
-
-# Util functions
-def split_into_sentences(text):
-    """Split the text into sentences.
-
-    Args:
-      text: A string that consists of more than or equal to one sentences.
-
-    Returns:
-      A list of strings where each string is a sentence.
-    """
-    text = " " + text + "  "
-    text = text.replace("\n", " ")
-    text = re.sub(_PREFIXES, "\\1", text)
-    text = re.sub(_WEBSITES, "\\1", text)
-    text = re.sub(_DIGITS + "[.]" + _DIGITS, "\\1\\2", text)
-    text = re.sub(
-        _MULTIPLE_DOTS,
-        lambda match: "" * len(match.group(0)) + "",
-        text,
-    )
-    if "Ph.D" in text:
-        text = text.replace("Ph.D.", "PhD")
-    text = re.sub(r"\s" + _ALPHABETS + "[.] ", " \\1 ", text)
-    text = re.sub(_ACRONYMS + " " + _STARTERS, "\\1 \\2", text)
-    text = re.sub(
-        _ALPHABETS + "[.]" + _ALPHABETS + "[.]" + _ALPHABETS + "[.]",
-        "\\1\\2\\3",
-        text,
-    )
-    text = re.sub(_ALPHABETS + "[.]" + _ALPHABETS + "[.]", "\\1\\2", text)
-    text = re.sub(" " + _SUFFIXES + "[.] " + _STARTERS, " \\1 \\2", text)
-    text = re.sub(" " + _SUFFIXES + "[.]", " \\1", text)
-    text = re.sub(" " + _ALPHABETS + "[.]", " \\1", text)
-    if "”" in text:
-        text = text.replace(".”", "”.")
-    if '"' in text:
-        text = text.replace('."', '".')
-    if "!" in text:
-        text = text.replace('!"', '"!')
-    if "?" in text:
-        text = text.replace('?"', '"?')
-    text = text.replace(".", ".")
-    text = text.replace("?", "?")
-    text = text.replace("!", "!")
-    text = text.replace("", ".")
-    sentences = text.split("")
-    sentences = [s.strip() for s in sentences]
-    if sentences and not sentences[-1]:
-        sentences = sentences[:-1]
-    return sentences
-
-
-def count_words(text):
-    """Counts the number of words."""
-    tokenizer = nltk.tokenize.RegexpTokenizer(r"\w+")
-    tokens = tokenizer.tokenize(text)
-    num_words = len(tokens)
-    return num_words
-
-
-def split_chinese_japanese_hindi(lines: str) -> Iterable[str]:
-    """
-    Split Chinese and Japanese text into sentences.
-    From https://stackoverflow.com/questions/27441191/splitting-chinese-document-into-sentences
-    Special question/exclamation marks were added upon inspection of our raw data,
-    Also supports multiple lines.
-    The separator for hindi is '।'
-    """
-    for line in lines.splitlines():
-        for sent in re.findall(
-            r"[^!?。\.\!\?\！\？\．\n।]+[!?。\.\!\?\！\？\．\n।]?",
-            line.strip(),
-            flags=re.U,
-        ):
-            yield sent
-
-
-def count_words_cjk(text: str) -> int:
-    """Counts the number of words for Chinese and Japanese and Korean.
-    Can be extended to additional languages.
-    Source: https://stackoverflow.com/questions/49164507/how-to-count-the-number-of-chinese-korean-and-english-words withadditional modifications
-    Example:
-        >In: count_words_cjk('こんにちは、ジェイソンさん、Jason? Nice to meet you☺ ❤')
-        >Out: 19
-    """
-    # Non alpha numeric patterns in latin and asian languages.
-    non_alphanumeric_patterns = (
-        r"[\\.\!\?\．\/_,\{\}<>:;$%^&*(+\"\'+——！，。？、`~@#￥……（）：；《）《》“”()\[\]«»〔〕\-「」]+"
-    )
-    text = re.sub(non_alphanumeric_patterns, "", text)
-
-    emoji_cnt = emoji.emoji_count(text)  # count emojis
-    text = emoji.replace_emoji(text, "")  # remove emojis
-
-    foreign_chars_patterns = "|".join([_CHINESE_CHARS_PATTERN, _JAPANESE_CHARS_PATTERN, _KOREAN_CHARS_PATTERN])
-    asian_chars = re.findall(foreign_chars_patterns, text)
-    asian_chars_cnt = len(asian_chars)
-    non_asian_chars = re.sub(foreign_chars_patterns, " ", text)
-    non_asian_words_cnt = len(non_asian_chars.split())
-
-    return non_asian_words_cnt + asian_chars_cnt + emoji_cnt
-
-
-@functools.lru_cache(maxsize=None)
-def _get_sentence_tokenizer():
-    return nltk.data.load("nltk:tokenizers/punkt/english.pickle")
-
-
-def count_sentences(text):
-    """Count the number of sentences."""
-    tokenizer = _get_sentence_tokenizer()
-    tokenized_sentences = tokenizer.tokenize(text)
-    return len(tokenized_sentences)
-
-
-def get_langid(text: str, lid_path: Optional[str] = None) -> str:
-    line_langs: List[str] = []
-    lines = [line.strip() for line in text.split("\n") if len(line.strip()) >= 4]
-
-    for line in lines:
-        try:
-            line_langs.append(langdetect.detect(line))
-        except langdetect.LangDetectException as e:
-            logger.info("Unable to detect language for text %s due to %s", line, e)  # refex: disable=pytotw.037
-
-    if len(line_langs) == 0:
-        return "en"
-    # select the text language to be the most commonly predicted language of the lines.
-    return collections.Counter(line_langs).most_common(1)[0][0]
-
-
-def generate_keywords(num_keywords):
-    """Randomly generates a few keywords."""
-    return random.sample(WORD_LIST, k=num_keywords)
-
-
-"""Library of instructions"""
-_InstructionArgsDtype = Optional[Dict[str, Union[int, str, Sequence[str]]]]
-
-_LANGUAGES = LANGUAGE_CODES
-
-# The relational operation for comparison.
-_COMPARISON_RELATION = ("less than", "at least")
-
-# The maximum number of sentences.
-_MAX_NUM_SENTENCES = 20
-
-# The number of placeholders.
-_NUM_PLACEHOLDERS = 4
-
-# The number of bullet lists.
-_NUM_BULLETS = 5
-
-# The options of constrained response.
-_CONSTRAINED_RESPONSE_OPTIONS = (
-    "My answer is yes.",
-    "My answer is no.",
-    "My answer is maybe.",
-)
-
-# The options of starter keywords.
-_STARTER_OPTIONS = (
-    "I would say",
-    "My answer is",
-    "I believe",
-    "In my opinion",
-    "I think",
-    "I reckon",
-    "I feel",
-    "From my perspective",
-    "As I see it",
-    "According to me",
-    "As far as I'm concerned",
-    "To my understanding",
-    "In my view",
-    "My take on it is",
-    "As per my perception",
-)
-
-# The options of ending keywords.
-# TODO(jeffreyzhou) add more ending options
-_ENDING_OPTIONS = ("Any other questions?", "Is there anything else I can help with?")
-
-# The number of highlighted sections.
-_NUM_HIGHLIGHTED_SECTIONS = 4
-
-# The section spliter.
-_SECTION_SPLITER = ("Section", "SECTION")
-
-# The number of sections.
-_NUM_SECTIONS = 5
-
-# The number of paragraphs.
-_NUM_PARAGRAPHS = 5
-
-# The postscript marker.
-_POSTSCRIPT_MARKER = ("P.S.", "P.P.S")
-
-# The number of keywords.
-_NUM_KEYWORDS = 2
-
-# The occurrences of a single keyword.
-_KEYWORD_FREQUENCY = 3
-
-# The occurrences of a single letter.
-_LETTER_FREQUENCY = 10
-
-# The occurrences of words with all capital letters.
-_ALL_CAPITAL_WORD_FREQUENCY = 20
-
-# The number of words in the response.
-_NUM_WORDS_LOWER_LIMIT = 100
-_NUM_WORDS_UPPER_LIMIT = 500
-
-
-class Instruction:
-    """An instruction template."""
-
-    def __init__(self, instruction_id):
-        self.id = instruction_id
-
-    def build_description(self, **kwargs):
-        raise NotImplementedError("`build_description` not implemented.")
-
-    def get_instruction_args(self):
-        raise NotImplementedError("`get_instruction_args` not implemented.")
-
-    def get_instruction_args_keys(self):
-        raise NotImplementedError("`get_instruction_args_keys` not implemented.")
-
-    def check_following(self, value):
-        raise NotImplementedError("`check_following` not implemented.")
-
-
-class ResponseLanguageChecker(Instruction):
-    """Check the language of the entire response."""
-
-    def build_description(self, *, language=None):
-        """Build the instruction description.
-
-        Args:
-          language: A string representing the expected language of the response. The
-            language has to comply to the 97 types defined in
-            `langid.py` (https://pypi.org/project/langid/1.1.5/), which follows
-            ISO 639-1 codes (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes);
-            for example, `en` for English, `zh` for Chinese, `fr` for French.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._language = language
-        if self._language is None:
-            self._language = random.choice(list(_LANGUAGES.keys()))
-
-        self._description_pattern = (
-            "Your ENTIRE response should be in {language} language, no other " + "language is allowed."
-        )
-        return self._description_pattern.format(language=_LANGUAGES[self._language])
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"language": self._language}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["language"]
-
-    def check_following(self, value):
-        """Check if the language of the entire response follows the instruction.
-
-        Args:
-          value: A string representing the response.
-
-        Returns:
-          True if the language of `value` follows instruction; otherwise False.
-        """
-        assert isinstance(value, str)
-
-        try:
-            return langdetect.detect(value) == self._language
-        except langdetect.LangDetectException as e:
-            # Count as instruction is followed.
-            logger.info("Unable to detect language for text %s due to %s", value, e)  # refex: disable=pytotw.037
-            return True
-
-
-class NumberOfSentences(Instruction):
-    """Check the number of sentences."""
-
-    def build_description(self, *, num_sentences=None, relation=None):
-        """Build the instruction description.
-
-        Args:
-          num_sentences: An integer specifying the number of sentences as a
-            threshold.
-          relation: A string in (`less than`, `at least`), defining the relational
-            operator for comparison.
-            Two relational comparisons are supported for now:
-            if 'less than', the actual number of sentences < the threshold;
-            if 'at least', the actual number of sentences >= the threshold.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        # The number of sentences as a threshold for comparison.
-        self._num_sentences_threshold = num_sentences
-        if self._num_sentences_threshold is None or self._num_sentences_threshold < 0:
-            self._num_sentences_threshold = random.randint(1, _MAX_NUM_SENTENCES)
-
-        if relation is None:
-            self._comparison_relation = random.choice(_COMPARISON_RELATION)
-        elif relation not in _COMPARISON_RELATION:
-            raise ValueError(
-                f"The supported relation for comparison must be in {_COMPARISON_RELATION}, but {relation} is given."
-            )
-        else:
-            self._comparison_relation = relation
-
-        self._description_pattern = "Your response should contain {relation} {num_sentences} sentences."
-        return self._description_pattern.format(
-            relation=self._comparison_relation,
-            num_sentences=self._num_sentences_threshold,
-        )
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {
-            "num_sentences": self._num_sentences_threshold,
-            "relation": self._comparison_relation,
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_sentences", "relation"]
-
-    def check_following(self, value):
-        """Check if the number of sentences follows the instruction.
-
-        Args:
-          value: A string representing the response.
-
-        Returns:
-          True if the response follows the instruction.
-
-        Raise:
-            ValueError if the string in `instruction_args` is not in
-            [`less_than`, `at_least`].
-        """
-        lang = get_langid(value)
-        if lang == "th":
-            # Counting Newline also as a new sentence:
-            num_sentences = sum([len(sent_tokenize_thai(line)) for line in value.splitlines()])
-        elif lang in ["zh", "zh-cn", "zh-tw", "ja", "hi"]:
-            num_sentences = len(list(split_chinese_japanese_hindi(value)))
-        else:
-            num_sentences = count_sentences(value)
-        if self._comparison_relation == _COMPARISON_RELATION[0]:
-            return num_sentences < self._num_sentences_threshold
-        elif self._comparison_relation == _COMPARISON_RELATION[1]:
-            return num_sentences >= self._num_sentences_threshold
-
-
-class PlaceholderChecker(Instruction):
-    """Check the placeholders in template writing."""
-
-    def build_description(self, *, num_placeholders=None):
-        """Build the instruction description.
-
-        Args:
-          num_placeholders: An integer denoting the minimum number of
-            placeholders required in the response.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._num_placeholders = num_placeholders
-        if self._num_placeholders is None or self._num_placeholders < 0:
-            self._num_placeholders = random.randint(1, _NUM_PLACEHOLDERS)
-        self._description_pattern = (
-            "The response must contain at least {num_placeholders} placeholders "
-            + "represented by square brackets, such as [address]."
-        )
-        return self._description_pattern.format(num_placeholders=self._num_placeholders)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"num_placeholders": self._num_placeholders}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_placeholders"]
-
-    def check_following(self, value):
-        """Check if the number of placeholders follows the instruction.
-
-        Args:
-          value: A string representing the response.
-
-        Returns:
-          True if the actual number of placeholders in the response is greater than
-          or equal to `num_placeholders`; otherwise, False.
-        """
-        placeholders = re.findall(r"\[.*?\]", value)
-        num_placeholders = len(placeholders)
-        return num_placeholders >= self._num_placeholders
-
-
-class BulletListChecker(Instruction):
-    """Checks the bullet list in the prompt."""
-
-    def build_description(self, *, num_bullets=None):
-        """Build the instruction description.
-
-        Args:
-          num_bullets: An integer specifying the exact number of bullet lists
-            that is required to appear in the response.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._num_bullets = num_bullets
-        if self._num_bullets is None or self._num_bullets < 0:
-            self._num_bullets = random.randint(1, _NUM_BULLETS)
-        self._description_pattern = (
-            "Your answer must contain exactly {num_bullets} bullet points. "
-            + "Use the markdown bullet points such as:\n"
-            + "* This is point 1. \n"
-            + "* This is point 2"
-        )
-        return self._description_pattern.format(num_bullets=self._num_bullets)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"num_bullets": self._num_bullets}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_bullets"]
-
-    def check_following(self, value):
-        r"""Check if the number of bullet lists meets the requirement.
-
-        Args:
-          value: A string representing the response. The response is expected to
-            contain some bullet lists that start with `\*`.
-
-        Returns:
-          True if the actual number of bullet lists in the response meets the
-          requirement.
-        """
-        bullet_lists = re.findall(r"^\s*\*[^\*].*$", value, flags=re.MULTILINE)
-        bullet_lists_2 = re.findall(r"^\s*-.*$", value, flags=re.MULTILINE)
-        num_bullet_lists = len(bullet_lists) + len(bullet_lists_2)
-        return num_bullet_lists == self._num_bullets
-
-
-class ConstrainedResponseChecker(Instruction):
-    """Checks the constrained response."""
-
-    def build_description(self):
-        """Build the instruction description."""
-        # A sequence of string(s) representing the options of the expected response.
-        self._constrained_responses = _CONSTRAINED_RESPONSE_OPTIONS
-        self._description_pattern = "Answer with one of the following options: {response_options}"
-        return self._description_pattern.format(response_options=self._constrained_responses)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        """Checks if the response matches the constrained options.
-
-        Args:
-          value: A string representing the response.
-
-        Returns:
-          True if the actual response contains one of the options in the constrained
-          responses; otherwise False.
-        """
-        value = value.strip()
-        for constrained_response in self._constrained_responses:
-            if constrained_response in value:
-                return True
-        return False
-
-
-class ConstrainedStartChecker(Instruction):
-    """Checks the response start."""
-
-    def build_description(self, *, starter=None):
-        """Build the instruction description.
-
-        Args:
-          starter: A string representing the keyward that the response should start
-            with.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._starter = starter.strip() if isinstance(starter, str) else starter
-        if self._starter is None:
-            self._starter = random.choice(_STARTER_OPTIONS)
-        self._description_pattern = (
-            "During the conversation, when it is your turn, " + "please always start with {starter}"
-        )
-        return self._description_pattern.format(starter=self._starter)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"starter": self._starter}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["starter"]
-
-    def check_following(self, value):
-        """Checks if the response starts with the constrained keyword or phrase.
-
-        Args:
-          value: A string representing the response.
-
-        Returns:
-          True if the response starts with the given phrase or keyword that is
-          contained in `instruction_args`; otherwise, False.
-        """
-        response_pattern = r"^\s*" + self._starter + r".*$"
-        response_with_constrained_start = re.search(response_pattern, value, flags=re.MULTILINE)
-        return True if response_with_constrained_start else False
-
-
-class HighlightSectionChecker(Instruction):
-    """Checks the highlighted section."""
-
-    def build_description(self, *, num_highlights=None):
-        """Build the instruction description.
-
-        Args:
-          num_highlights: An integer specifying the minimum number of highlighted
-            sections.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._num_highlights = num_highlights
-        if self._num_highlights is None or self._num_highlights < 0:
-            self._num_highlights = random.randint(1, _NUM_HIGHLIGHTED_SECTIONS)
-
-        self._description_pattern = (
-            "Highlight at least {num_highlights} sections in your answer with "
-            + "markdown, i.e. *highlighted section*."
-        )
-
-        return self._description_pattern.format(num_highlights=self._num_highlights)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"num_highlights": self._num_highlights}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_highlights"]
-
-    def check_following(self, value):
-        """Checks if the number of highlighted sections meets the requirement.
-
-        Args:
-          value: a string repesenting the response. The response is expected to
-            contain highlighted sections in the format of *highlighted*.
-
-        Returns:
-          True if the actual number of highlighted sections in the format of
-          *highlighed sections* meets the minimum requirement; otherwise False.
-        """
-        num_highlights = 0
-        highlights = re.findall(r"\*[^\n\*]*\*", value)
-        double_highlights = re.findall(r"\*\*[^\n\*]*\*\*", value)
-        for highlight in highlights:
-            if highlight.strip("*").strip():
-                num_highlights += 1
-        for highlight in double_highlights:
-            if highlight.removeprefix("**").removesuffix("**").strip():
-                num_highlights += 1
-
-        return num_highlights >= self._num_highlights
-
-
-class SectionChecker(Instruction):
-    """Checks the sections."""
-
-    def build_description(self, *, section_spliter=None, num_sections=None):
-        """Build the instruction description.
-
-        Args:
-          section_spliter: A string represents the section spliter keyword that
-            marks a new section, i.e., `Section` or `SECTION`.
-          num_sections: An integer specifying the number of sections.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._section_spliter = section_spliter.strip() if isinstance(section_spliter, str) else section_spliter
-        if self._section_spliter is None:
-            self._section_spliter = random.choice(_SECTION_SPLITER)
-
-        self._num_sections = num_sections
-        if self._num_sections is None or self._num_sections < 0:
-            self._num_sections = random.randint(1, _NUM_SECTIONS)
-
-        self._description_pattern = (
-            "Your response must have {num_sections} sections. Mark the beginning "
-            + "of each section with {section_spliter} X, such as:\n"
-            + "{section_spliter} 1\n"
-            + "[content of section 1]\n"
-            + "{section_spliter} 2\n"
-            + "[content of section 2]"
-        )
-
-        return self._description_pattern.format(num_sections=self._num_sections, section_spliter=self._section_spliter)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {
-            "section_spliter": self._section_spliter,
-            "num_sections": self._num_sections,
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["section_spliter", "num_sections"]
-
-    def check_following(self, value):
-        """Checks the response contains multiple sections.
-
-        Args:
-          value: A string representing the response. The response is expected
-            to contain multiple sections (number of sections is greater than 1).
-            A new section starts with `Section 1`, where the number denotes the
-            section index.
-
-        Returns:
-          True if the number of sections in the response is greater than or equal to
-          the minimum number of sections; otherwise, False.
-        """
-        section_splitter_patten = r"\s?" + self._section_spliter + r"\s?\d+\s?"
-        sections = re.split(section_splitter_patten, value)
-        num_sections = len(sections) - 1
-        return num_sections >= self._num_sections
-
-
-class ParagraphChecker(Instruction):
-    """Checks the paragraphs."""
-
-    def build_description(self, *, num_paragraphs=None):
-        """Build the instruction description.
-
-        Args:
-          num_paragraphs: An integer specifying the number of paragraphs.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._num_paragraphs = num_paragraphs
-        if self._num_paragraphs is None or self._num_paragraphs < 0:
-            self._num_paragraphs = random.randint(1, _NUM_PARAGRAPHS)
-
-        self._description_pattern = (
-            "There should be {num_paragraphs} paragraphs. " + "Paragraphs are separated with the markdown divider: ***"
-        )
-
-        return self._description_pattern.format(num_paragraphs=self._num_paragraphs)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"num_paragraphs": self._num_paragraphs}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_paragraphs"]
-
-    def check_following(self, value):
-        """Checks the response contains required number of paragraphs.
-
-        Args:
-          value: A string representing the response. The response may contain
-            paragraphs that are separated by the markdown divider: `***`.
-
-        Returns:
-          True if the actual number of paragraphs is the same as required;
-          otherwise, False.
-        """
-        paragraphs = re.split(r"\s?\*\*\*\s?", value)
-        num_paragraphs = len(paragraphs)
-
-        for index, paragraph in enumerate(paragraphs):
-            if not paragraph.strip():
-                if index == 0 or index == len(paragraphs) - 1:
-                    num_paragraphs -= 1
-                else:
-                    return False
-
-        return num_paragraphs == self._num_paragraphs
-
-
-class PostscriptChecker(Instruction):
-    """Checks the postscript."""
-
-    def build_description(self, *, postscript_marker=None):
-        """Build the instruction description.
-
-        Args:
-          postscript_marker: A string containing the keyword that marks the start
-            of the postscript section.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._postscript_marker = postscript_marker.strip() if isinstance(postscript_marker, str) else postscript_marker
-        if self._postscript_marker is None:
-            self._postscript_marker = random.choice(_POSTSCRIPT_MARKER)
-
-        self._description_pattern = (
-            "At the end of your response, please explicitly add a postscript " + "starting with {postscript}"
-        )
-
-        return self._description_pattern.format(postscript=self._postscript_marker)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"postscript_marker": self._postscript_marker}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["postscript_marker"]
-
-    def check_following(self, value):
-        """Checks if the response follows the postscript format.
-
-        Args:
-          value: a string representing the response. The response is expected to
-            contain a postscript section.
-
-        Returns:
-          True if the response contains a postscript section starting with
-          the keyword containing in the `instruction_args`; otherwise False.
-        """
-        value = value.lower()
-        if self._postscript_marker == "P.P.S":
-            postscript_pattern = r"\s*p\.\s?p\.\s?s.*$"
-        elif self._postscript_marker == "P.S.":
-            postscript_pattern = r"\s*p\.\s?s\..*$"
-        else:
-            postscript_pattern = r"\s*" + self._postscript_marker.lower() + r".*$"
-        postscript = re.findall(postscript_pattern, value, flags=re.MULTILINE)
-        return True if postscript else False
-
-
-class RephraseChecker(Instruction):
-    """Checks the repharse."""
-
-    def build_description(self, *, original_message):
-        """Build the instruction description.
-
-        Args:
-          original_message: A string representing the original message. The
-            rephrased response should only change its words/sentences in between
-            its two asterisks, for example, *change me*. Both original and rephrased
-            messages should contain the changes in the form of *change me*.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        if not self.is_change(original_message):
-            raise ValueError(f"Message {original_message} does not contain changes in the form of *change me*.")
-
-        self._reference_without_change = original_message
-        self._description = (
-            "Rephrasing: Your rephrased response should only"
-            + "change the words/sentences in between two asterisks"
-            + "such as *change me*."
-        )
-        return self._description
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"original_message": self._reference_without_change}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["original_message"]
-
-    def check_following(self, value):
-        r"""Checks if the rephrasing follows the instruction.
-
-        Args:
-          value: A string representing the response, which is expected to rephras
-            the string of `instruction_args`.
-
-        Returns:
-          True if `value` and `instruction_args` only differ by the words/sentences
-          in between two asterisks such as *change me*; otherwise, False.
-        """
-
-        if not self.is_change(value):
-            raise ValueError(f"value {value} does not contain changes in the form of *change me*.")
-
-        response_without_changes = self.strip_changes(value)
-        reference_without_changes = self.strip_changes(self._reference_without_change)
-
-        return response_without_changes == reference_without_changes
-
-    def is_change(self, response):
-        """Check if there is change in the response in the form of *change me*."""
-        return re.search(r"\*.*\*", response)
-
-    def strip_changes(self, response):
-        """Strips off the changes."""
-        return re.sub(r"\*.*\*", "", response)
-
-
-class KeywordChecker(Instruction):
-    """Check the exisitence of certain keywords."""
-
-    def build_description(self, *, keywords=None):
-        """Build the instruction description.
-
-        Args:
-          keywords: A sequence of strings representing the keywords that are
-            expected in the response.
-
-        Returns:
-          A string representing the instruction description.
-        """
-
-        if not keywords:
-            self._keywords = generate_keywords(num_keywords=_NUM_KEYWORDS)
-        else:
-            self._keywords = keywords
-        self._keywords = sorted(self._keywords)
-
-        self._description_pattern = "Include keywords {keywords} in the response."
-
-        return self._description_pattern.format(keywords=self._keywords)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"keywords": self._keywords}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["keywords"]
-
-    def check_following(self, value):
-        """Check if the response contain the expected keywords."""
-        for keyword in self._keywords:
-            if not re.search(keyword, value, flags=re.IGNORECASE):
-                return False
-        return True
-
-
-class KeywordFrequencyChecker(Instruction):
-    """Check the keyword frequency."""
-
-    def build_description(self, *, keyword=None, frequency=None, relation=None):
-        """Build the instruction description.
-
-        Args:
-          keyword: A string representing a keyword that is expected in the response.
-          frequency: An integer specifying the number of times `keyword` is expected
-            to appear in the response.
-          relation: A string in (`less than`, `at least`), defining the relational
-            operator for comparison.
-            Two relational comparisons are supported for now:
-            if 'less than', the actual number of occurrences < frequency;
-            if 'at least', the actual number of occurrences >= frequency.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        if not keyword:
-            self._keyword = generate_keywords(num_keywords=1)[0]
-        else:
-            self._keyword = keyword.strip()
-
-        self._frequency = frequency
-        if self._frequency is None or self._frequency < 0:
-            self._frequency = random.randint(1, _KEYWORD_FREQUENCY)
-
-        if relation is None:
-            self._comparison_relation = random.choice(_COMPARISON_RELATION)
-        elif relation not in _COMPARISON_RELATION:
-            raise ValueError(
-                f"The supported relation for comparison must be in {_COMPARISON_RELATION}, but {relation} is given."
-            )
-        else:
-            self._comparison_relation = relation
-
-        self._description_pattern = (
-            "In your response, the word {keyword} should appear {relation} " + "{frequency} times."
-        )
-
-        return self._description_pattern.format(
-            keyword=self._keyword,
-            relation=self._comparison_relation,
-            frequency=self._frequency,
-        )
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {
-            "keyword": self._keyword,
-            "frequency": self._frequency,
-            "relation": self._comparison_relation,
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["keyword", "frequency", "relation"]
-
-    def check_following(self, value):
-        """Checks if the response contain the keyword with required frequency."""
-        actual_occurrences = len(re.findall(self._keyword, value, flags=re.IGNORECASE))
-
-        if self._comparison_relation == _COMPARISON_RELATION[0]:
-            return actual_occurrences < self._frequency
-        elif self._comparison_relation == _COMPARISON_RELATION[1]:
-            return actual_occurrences >= self._frequency
-
-
-class NumberOfWords(Instruction):
-    """Checks the number of words."""
-
-    def build_description(self, *, num_words=None, relation=None):
-        """Build the instruction description.
-
-        Args:
-          num_words: An integer specifying the number of words contained in the
-            response.
-          relation: A string in (`less than`, `at least`), defining the relational
-            operator for comparison.
-            Two relational comparisons are supported for now:
-            if 'less than', the actual number of words < num_words;
-            if 'at least', the actual number of words >= num_words.
-
-        Returns:
-          A string representing the instruction description.
-        """
-
-        self._num_words = num_words
-        if self._num_words is None or self._num_words < 0:
-            self._num_words = random.randint(_NUM_WORDS_LOWER_LIMIT, _NUM_WORDS_UPPER_LIMIT)
-
-        if relation is None:
-            self._comparison_relation = random.choice(_COMPARISON_RELATION)
-        elif relation not in _COMPARISON_RELATION:
-            raise ValueError(
-                f"The supported relation for comparison must be in {_COMPARISON_RELATION}, but {relation} is given."
-            )
-        else:
-            self._comparison_relation = relation
-
-        self._description_pattern = "Answer with {relation} {num_words} words."
-
-        return self._description_pattern.format(relation=self._comparison_relation, num_words=self._num_words)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"num_words": self._num_words, "relation": self._comparison_relation}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_words", "relation"]
-
-    def check_following(self, value):
-        """Checks if the response contains the expected number of words."""
-        lang = get_langid(value)
-        if lang == "th":
-            num_words = len(word_tokenize_thai(value))
-        elif lang in ["zh", "zh-cn", "zh-tw", "ja", "ko"]:
-            num_words = count_words_cjk(value)
-        else:
-            num_words = count_words(value)
-
-        if self._comparison_relation == _COMPARISON_RELATION[0]:
-            return num_words < self._num_words
-        elif self._comparison_relation == _COMPARISON_RELATION[1]:
-            return num_words >= self._num_words
-
-
-class JsonFormat(Instruction):
-    """Check the Json format."""
-
-    def build_description(self):
-        self._description_pattern = (
-            "Entire output should be wrapped in JSON format. You can use markdown ticks such as ```."
-        )
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        value = (
-            value.strip()
-            .removeprefix("```json")
-            .removeprefix("```Json")
-            .removeprefix("```JSON")
-            .removeprefix("```")
-            .removesuffix("```")
-            .strip()
-        )
-        try:
-            json.loads(value)
-        except ValueError as _:
-            return False
-        return True
-
-
-class ParagraphFirstWordCheck(Instruction):
-    """Check the paragraph and the first word of the nth paragraph."""
-
-    def build_description(self, num_paragraphs=None, nth_paragraph=None, first_word=None):
-        r"""Build the instruction description.
-
-        Args:
-          num_paragraphs: An integer indicating the number of paragraphs expected
-            in the response. A paragraph is a subset of the string that is
-            expected to be separated by '\n\n'.
-          nth_paragraph: An integer indicating the paragraph number that we look at.
-            Note that n starts from 1.
-          first_word: A string that represent the first word of the bth paragraph.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._num_paragraphs = num_paragraphs
-        if self._num_paragraphs is None or self._num_paragraphs < 0:
-            self._num_paragraphs = random.randint(1, _NUM_PARAGRAPHS)
-
-        self._nth_paragraph = nth_paragraph
-        if self._nth_paragraph is None or self._nth_paragraph <= 0 or self._nth_paragraph > self._num_paragraphs:
-            self._nth_paragraph = random.randint(1, self._num_paragraphs + 1)
-
-        self._first_word = first_word
-        if self._first_word is None:
-            self._first_word = generate_keywords(num_keywords=1)[0]
-        self._first_word = self._first_word.lower()
-
-        self._description_pattern = (
-            "There should be {num_paragraphs} paragraphs. "
-            + "Paragraphs and only paragraphs are separated with each other by two "
-            + "new lines as if it was '\\n\\n' in python. "
-            + "Paragraph {nth_paragraph} must start with word {first_word}."
-        )
-
-        return self._description_pattern.format(
-            num_paragraphs=self._num_paragraphs,
-            nth_paragraph=self._nth_paragraph,
-            first_word=self._first_word,
-        )
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {
-            "num_paragraphs": self._num_paragraphs,
-            "nth_paragraph": self._nth_paragraph,
-            "first_word": self._first_word,
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_paragraphs", "nth_paragraph", "first_word"]
-
-    def check_following(self, value):
-        """Checks for required number of paragraphs and correct first word.
-
-        Args:
-          value: a string representing the response. The response may contain
-            paragraphs that are separated by two new lines and the first word of
-            the nth paragraph will have to match a specified word.
-
-        Returns:
-          True if the number of paragraphs is the same as required and the first
-          word of the specified paragraph is the same as required. Otherwise, false.
-        """
-
-        paragraphs = re.split(r"\n\n", value)
-        num_paragraphs = len(paragraphs)
-
-        for paragraph in paragraphs:
-            if not paragraph.strip():
-                num_paragraphs -= 1
-
-        # check that index doesn't go out of bounds
-        if self._nth_paragraph <= num_paragraphs:
-            paragraph = paragraphs[self._nth_paragraph - 1].strip()
-            if not paragraph:
-                return False
-        else:
-            return False
-
-        first_word = ""
-        punctuation = {".", ",", "?", "!", "'", '"'}
-
-        # get first word and remove punctuation
-        word = paragraph.split()[0].strip()
-        word = word.lstrip("'")
-        word = word.lstrip('"')
-
-        for letter in word:
-            if letter in punctuation:
-                break
-            first_word += letter.lower()
-
-        return num_paragraphs == self._num_paragraphs and first_word == self._first_word
-
-
-class KeySentenceChecker(Instruction):
-    """Check the existence of certain key sentences."""
-
-    def build_description(self, key_sentences=None, num_sentences=None):
-        """Build the instruction description.
-
-        Args:
-          key_sentences: A sequences of strings representing the key sentences that
-            are expected in the response.
-          num_sentences: The number of key sentences that are expected to be seen in
-            the response.
-
-        Returns:
-          A string representing the instruction description.
-        """
-
-        if not key_sentences:
-            self._key_sentences = {["For now, this is fine."]}
-        else:
-            self._key_sentences = key_sentences
-
-        if not num_sentences:
-            self._num_sentences = random.randint(1, len(self._key_sentences))
-        else:
-            self._num_sentences = num_sentences
-
-        self._description_pattern = "Include {num_sentences} of the following sentences {key_sentences}"
-
-        return self._description_pattern.format(num_sentences=self._num_sentences, key_sentences=self._key_sentences)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {
-            "num_sentences": self._num_sentences,
-            "key_sentences": list(self._key_sentences),
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["num_sentences", "key_sentences"]
-
-    def check_following(self, value):
-        """Checks if the response contains the expected key sentences."""
-        count = 0
-        sentences = split_into_sentences(value)
-        for sentence in self._key_sentences:
-            if sentence in sentences:
-                count += 1
-
-        return count == self._num_sentences
-
-
-class ForbiddenWords(Instruction):
-    """Checks that specified words are not used in response."""
-
-    def build_description(self, forbidden_words=None):
-        """Build the instruction description.
-
-        Args:
-          forbidden_words: A sequences of strings respresenting words that are not
-            allowed in the response.
-
-        Returns:
-          A string representing the instruction description.
-        """
-
-        if not forbidden_words:
-            self._forbidden_words = generate_keywords(num_keywords=_NUM_KEYWORDS)
-        else:
-            self._forbidden_words = list(set(forbidden_words))
-        self._forbidden_words = sorted(self._forbidden_words)
-        self._description_pattern = "Do not include keywords {forbidden_words} in the response."
-
-        return self._description_pattern.format(forbidden_words=self._forbidden_words)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {"forbidden_words": self._forbidden_words}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["forbidden_words"]
-
-    def check_following(self, value):
-        """Check if the response does not contain the expected keywords."""
-        for word in self._forbidden_words:
-            if re.search(r"\b" + word + r"\b", value, flags=re.IGNORECASE):
-                return False
-        return True
-
-
-class RephraseParagraph(Instruction):
-    """Checks that the paragraph is rephrased."""
-
-    def build_description(self, *, original_paragraph, low, high):
-        """Builds the instruction description.
-
-        Args:
-          original_paragraph: A string presenting the original paragraph. The
-            rephrases response should have betweeb low-high words in common.
-          low: An integer presenting the lower bound of similar words.
-          high: An integer representing the upper bound of similar words.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._original_paragraph = original_paragraph
-        self._low = low
-        self._high = high
-
-        self._description = (
-            "Rephrase the following paragraph: "
-            + "{original_paragraph}\nYour response should have "
-            + "between {low} and {high} of the same words. "
-            + "Words are the same if and only if all of the "
-            + "letters, ignoring cases, are the same. For "
-            + "example, 'run' is the same as 'Run' but different "
-            + "to 'ran'."
-        )
-
-        return self._description.format(original_paragraph=original_paragraph, low=self._low, high=self._high)
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return {
-            "original_paragraph": self._original_paragraph,
-            "low": self._low,
-            "high": self._high,
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["original_paragraph", "low", "high"]
-
-    def check_following(self, value):
-        val_words = re.findall(r"\w+", value.lower())
-        original_words = re.findall(r"\w+", self._original_paragraph.lower())
-        similar_words = 0
-
-        dict_val = collections.Counter(val_words)
-        dict_original = collections.Counter(original_words)
-
-        for word in dict_original:
-            similar_words += min(dict_original[word], dict_val[word])
-
-        return similar_words >= self._low and similar_words <= self._high
-
-
-class TwoResponsesChecker(Instruction):
-    """Check that two responses were given."""
-
-    def build_description(self):
-        """Build the instruction description."""
-        self._description_pattern = (
-            "Give two different responses. Responses and only responses should"
-            " be separated by 6 asterisk symbols: ******."
-        )
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        """Returns the keyward args of `build_description`."""
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        """Checks if the response has two different answers.
-
-        Args:
-          value: A string representing the response.
-
-        Returns:
-          True if two responses are detected and false otherwise.
-        """
-        valid_responses = list()
-        responses = value.split("******")
-        for index, response in enumerate(responses):
-            if not response.strip():
-                if index != 0 and index != len(responses) - 1:
-                    return False
-            else:
-                valid_responses.append(response)
-        return len(valid_responses) == 2 and valid_responses[0].strip() != valid_responses[1].strip()
-
-
-class RepeatPromptThenAnswer(Instruction):
-    """Checks that Prompt is first repeated then answered."""
-
-    def build_description(self, *, prompt_to_repeat=None):
-        """Build the instruction description.
-
-        Args:
-          prompt_to_repeat: The prompt that is meant to be repeated.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        if not prompt_to_repeat:
-            raise ValueError("prompt_to_repeat must be set.")
-        else:
-            self._prompt_to_repeat = prompt_to_repeat
-        self._description_pattern = (
-            "First repeat the request word for word without change,"
-            " then give your answer (1. do not say any words or characters"
-            " before repeating the request; 2. the request you need to repeat"
-            " does not include this sentence)"
-        )
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        return {"prompt_to_repeat": self._prompt_to_repeat}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["prompt_to_repeat"]
-
-    def check_following(self, value):
-        if value.strip().lower().startswith(self._prompt_to_repeat.strip().lower()):
-            return True
-        return False
-
-
-class EndChecker(Instruction):
-    """Checks that the prompt ends with a given phrase."""
-
-    def build_description(self, *, end_phrase=None):
-        """Build the instruction description.
-
-        Args:
-          end_phrase: A string representing the phrase the response should end with.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._end_phrase = end_phrase.strip() if isinstance(end_phrase, str) else end_phrase
-        if self._end_phrase is None:
-            self._end_phrase = random.choice(_ENDING_OPTIONS)
-        self._description_pattern = (
-            "Finish your response with this exact phrase {ender}. No other words should follow this phrase."
-        )
-        return self._description_pattern.format(ender=self._end_phrase)
-
-    def get_instruction_args(self):
-        return {"end_phrase": self._end_phrase}
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["end_phrase"]
-
-    def check_following(self, value):
-        """Checks if the response ends with the expected phrase."""
-        value = value.strip().strip('"').lower()
-        self._end_phrase = self._end_phrase.strip().lower()
-        return value.endswith(self._end_phrase)
-
-
-class TitleChecker(Instruction):
-    """Checks the response for a title."""
-
-    def build_description(self):
-        """Build the instruction description."""
-        self._description_pattern = (
-            "Your answer must contain a title, wrapped in double angular brackets, such as <>."
-        )
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        """Checks if the response contains a title."""
-        pattern = r"<<[^\n]+>>"
-        re_pattern = re.compile(pattern)
-        titles = re.findall(re_pattern, value)
-
-        for title in titles:
-            if title.lstrip("<").rstrip(">").strip():
-                return True
-        return False
-
-
-class LetterFrequencyChecker(Instruction):
-    """Checks letter frequency."""
-
-    def build_description(self, *, letter=None, let_frequency=None, let_relation=None):
-        """Build the instruction description.
-
-        Args:
-          letter: A string representing a letter that is expected in the response.
-          let_frequency: An integer specifying the number of times `keyword` is
-            expected to appear in the response.
-          let_relation: A string in (`less than`, `at least`), defining the
-            relational operator for comparison. Two relational comparisons are
-            supported for now; if 'less than', the actual number of
-            occurrences < frequency; if 'at least', the actual number of
-            occurrences >= frequency.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        if not letter or len(letter) > 1 or ord(letter.lower()) < 97 or ord(letter.lower()) > 122:
-            self._letter = random.choice(list(string.ascii_letters))
-        else:
-            self._letter = letter.strip()
-        self._letter = self._letter.lower()
-
-        self._frequency = let_frequency
-        if self._frequency is None or self._frequency < 0:
-            self._frequency = random.randint(1, _LETTER_FREQUENCY)
-
-        if let_relation is None:
-            self._comparison_relation = random.choice(_COMPARISON_RELATION)
-        elif let_relation not in _COMPARISON_RELATION:
-            raise ValueError(
-                f"The supported relation for comparison must be in {_COMPARISON_RELATION}, but {let_relation} is given."
-            )
-        else:
-            self._comparison_relation = let_relation
-
-        self._description_pattern = (
-            "In your response, the letter {letter} should appear {let_relation} {let_frequency} times."
-        )
-
-        return self._description_pattern.format(
-            letter=self._letter,
-            let_frequency=self._frequency,
-            let_relation=self._comparison_relation,
-        )
-
-    def get_instruction_args(self):
-        """Returns the keyword args of build description."""
-        return {
-            "letter": self._letter,
-            "let_frequency": self._frequency,
-            "let_relation": self._comparison_relation,
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["letter", "let_frequency", "let_relation"]
-
-    def check_following(self, value):
-        """Checks that the response contains the letter at the right frequency."""
-        value = value.lower()
-        letters = collections.Counter(value)
-
-        if self._comparison_relation == _COMPARISON_RELATION[0]:
-            return letters[self._letter] < self._frequency
-        else:
-            return letters[self._letter] >= self._frequency
-
-
-class CapitalLettersEnglishChecker(Instruction):
-    """Checks that the response is in english and is in all capital letters."""
-
-    def build_description(self):
-        """Build the instruction description."""
-        self._description_pattern = "Your entire response should be in English, and in all capital letters."
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        """Checks that the response is in English and in all capital letters."""
-        assert isinstance(value, str)
-
-        try:
-            return value.isupper() and langdetect.detect(value) == "en"
-        except langdetect.LangDetectException as e:
-            # Count as instruction is followed.
-            logger.info("Unable to detect language for text %s due to %s", value, e)  # refex: disable=pytotw.037
-            return True
-
-
-class LowercaseLettersEnglishChecker(Instruction):
-    """Checks that the response is in english and is in all lowercase letters."""
-
-    def build_description(self):
-        """Build the instruction description."""
-        self._description_pattern = (
-            "Your entire response should be in English, and in all lowercase letters. No capital letters are allowed."
-        )
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        """Checks that the response is in English and in all lowercase letters."""
-        assert isinstance(value, str)
-
-        try:
-            return value.islower() and langdetect.detect(value) == "en"
-        except langdetect.LangDetectException as e:
-            # Count as instruction is followed.
-            logger.info("Unable to detect language for text %s due to %s", value, e)  # refex: disable=pytotw.037
-            return True
-
-
-class CommaChecker(Instruction):
-    """Checks the response for no commas."""
-
-    def build_description(self, **kwargs):
-        """Build the instruction description."""
-        self._description_pattern = "In your entire response, refrain from the use of any commas."
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        """Checks that the response does not contain commas."""
-        return not re.search(r"\,", value)
-
-
-class CapitalWordFrequencyChecker(Instruction):
-    """Checks frequency of words with all capital letters."""
-
-    def build_description(
-        self,
-        capital_frequency=None,
-        capital_relation=None,
-    ):
-        """Build the instruction description.
-
-        Args:
-          capital_frequency: An integer that represents the number of words that
-            should be in all capital letters.
-          capital_relation: A string that is 'at least' or 'at most' that refers to
-            the frequency.
-
-        Returns:
-          A string representing the instruction description.
-        """
-        self._frequency = capital_frequency
-        if self._frequency is None:
-            self._frequency = random.randint(1, _ALL_CAPITAL_WORD_FREQUENCY)
-
-        self._comparison_relation = capital_relation
-        if capital_relation is None:
-            self._comparison_relation = random.choice(_COMPARISON_RELATION)
-        elif capital_relation not in _COMPARISON_RELATION:
-            raise ValueError(
-                "The supported relation for comparison must be in "
-                f"{_COMPARISON_RELATION}, but {capital_relation} is given."
-            )
-
-        self._description_pattern = (
-            "In your response, words with all capital letters should appear {relation} {frequency} times."
-        )
-
-        return self._description_pattern.format(frequency=self._frequency, relation=self._comparison_relation)
-
-    def get_instruction_args(self):
-        """Returns the keyword args of build description."""
-        return {
-            "capital_frequency": self._frequency,
-            "capital_relation": self._comparison_relation,
-        }
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return ["capital_frequency", "capital_relation"]
-
-    def check_following(self, value):
-        """Checks the frequency of words with all capital letters."""
-        # Hyphenated words will count as one word
-        nltk.download("punkt_tab")
-        words = nltk.word_tokenize(value)
-        capital_words = [word for word in words if word.isupper()]
-
-        capital_words = len(capital_words)
-
-        if self._comparison_relation == _COMPARISON_RELATION[0]:
-            return capital_words < self._frequency
-        else:
-            return capital_words >= self._frequency
-
-
-class QuotationChecker(Instruction):
-    """Checks response is wrapped with double quotation marks."""
-
-    def build_description(self):
-        """Build the instruction description."""
-        self._description_pattern = "Wrap your entire response with double quotation marks."
-        return self._description_pattern
-
-    def get_instruction_args(self):
-        """Returns the keyword args of build description."""
-        return None
-
-    def get_instruction_args_keys(self):
-        """Returns the args keys of `build_description`."""
-        return []
-
-    def check_following(self, value):
-        """Checks if the response is wrapped with double quotation marks."""
-        quotations_map = {
-            "ja": "「」",
-            "ru": "«»",
-            "th": "“”",
-            "zh": "“”",
-            "zh-cn": "“”",
-            "zh-tw": "“”",
-        }
-        value = value.strip()
-        lang = get_langid(value)
-        quotes = quotations_map.get(lang, '""')
-        # TODO: We may wanna revisit this logic in new generations to only check of the response language's quotes.
-        return len(value) > 1 and value[0] in [quotes[0], '"'] and value[-1] in [quotes[1], '"']
-
-
-# Define instruction dicts
-_KEYWORD = "keywords:"
-_LANGUAGE = "language:"
-_LENGTH = "length_constraints:"
-_CONTENT = "detectable_content:"
-_FORMAT = "detectable_format:"
-_MULTITURN = "multi-turn:"
-_COMBINATION = "combination:"
-_STARTEND = "startend:"
-_CHANGE_CASES = "change_case:"
-_PUNCTUATION = "punctuation:"
-
-INSTRUCTION_DICT = {
-    _KEYWORD + "existence": KeywordChecker,
-    _KEYWORD + "frequency": KeywordFrequencyChecker,
-    # _KEYWORD + "key_sentences": KeySentenceChecker,
-    _KEYWORD + "forbidden_words": ForbiddenWords,
-    _KEYWORD + "letter_frequency": LetterFrequencyChecker,
-    _LANGUAGE + "response_language": ResponseLanguageChecker,
-    _LENGTH + "number_sentences": NumberOfSentences,
-    _LENGTH + "number_paragraphs": ParagraphChecker,
-    _LENGTH + "number_words": NumberOfWords,
-    _LENGTH + "nth_paragraph_first_word": ParagraphFirstWordCheck,
-    _CONTENT + "number_placeholders": PlaceholderChecker,
-    _CONTENT + "postscript": PostscriptChecker,
-    _FORMAT + "number_bullet_lists": BulletListChecker,
-    # _CONTENT + "rephrase_paragraph": RephraseParagraph,
-    _FORMAT + "constrained_response": ConstrainedResponseChecker,
-    _FORMAT + "number_highlighted_sections": (HighlightSectionChecker),
-    _FORMAT + "multiple_sections": SectionChecker,
-    # _FORMAT + "rephrase": RephraseChecker,
-    _FORMAT + "json_format": JsonFormat,
-    _FORMAT + "title": TitleChecker,
-    # _MULTITURN + "constrained_start": ConstrainedStartChecker,
-    _COMBINATION + "two_responses": TwoResponsesChecker,
-    _COMBINATION + "repeat_prompt": RepeatPromptThenAnswer,
-    _STARTEND + "end_checker": EndChecker,
-    _CHANGE_CASES + "capital_word_frequency": CapitalWordFrequencyChecker,
-    _CHANGE_CASES + "english_capital": CapitalLettersEnglishChecker,
-    _CHANGE_CASES + "english_lowercase": LowercaseLettersEnglishChecker,
-    _PUNCTUATION + "no_comma": CommaChecker,
-    _STARTEND + "quotation": QuotationChecker,
-}
-
-INSTRUCTION_LIST = list(INSTRUCTION_DICT.keys()) + [
-    _KEYWORD[:-1],
-    _LANGUAGE[:-1],
-    _LENGTH[:-1],
-    _CONTENT[:-1],
-    _FORMAT[:-1],
-    _MULTITURN[:-1],
-    _COMBINATION[:-1],
-    _STARTEND[:-1],
-    _CHANGE_CASES[:-1],
-    _PUNCTUATION[:-1],
-]
diff --git a/llama_stack/providers/inline/scoring/basic/utils/math_utils.py b/llama_stack/providers/inline/scoring/basic/utils/math_utils.py
deleted file mode 100644
index e11fc625b..000000000
--- a/llama_stack/providers/inline/scoring/basic/utils/math_utils.py
+++ /dev/null
@@ -1,330 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-import re
-from typing import Sequence
-
-from llama_stack.providers.utils.scoring.basic_scoring_utils import time_limit
-
-# from minerva
-SUBSTITUTIONS = [
-    ("an ", ""),
-    ("a ", ""),
-    (".$", "$"),
-    ("\\$", ""),
-    (r"\ ", ""),
-    (" ", ""),
-    ("mbox", "text"),
-    (",\\text{and}", ","),
-    ("\\text{and}", ","),
-    ("\\text{m}", "\\text{}"),
-]
-
-REMOVED_EXPRESSIONS = [
-    "square",
-    "ways",
-    "integers",
-    "dollars",
-    "mph",
-    "inches",
-    "ft",
-    "hours",
-    "km",
-    "units",
-    "\\ldots",
-    "sue",
-    "points",
-    "feet",
-    "minutes",
-    "digits",
-    "cents",
-    "degrees",
-    "cm",
-    "gm",
-    "pounds",
-    "meters",
-    "meals",
-    "edges",
-    "students",
-    "childrentickets",
-    "multiples",
-    "\\text{s}",
-    "\\text{.}",
-    "\\text{\ns}",
-    "\\text{}^2",
-    "\\text{}^3",
-    "\\text{\n}",
-    "\\text{}",
-    r"\mathrm{th}",
-    r"^\circ",
-    r"^{\circ}",
-    r"\;",
-    r",\!",
-    "{,}",
-    '"',
-    "\\dots",
-]
-
-
-def try_evaluate_frac(expression: str, fmt: str = "0.2e") -> str:
-    if isinstance(expression, float):
-        return expression
-    new_expression = f"{expression}"
-    regex = re.compile(r"\\frac{([^}]+)}{([^}]+)}")
-    for match in re.finditer(regex, expression):
-        try:
-            value = float(match.group(1)) / float(match.group(2))
-            new_expression = new_expression.replace(
-                match.group(),
-                f"{{value:{fmt}}}".format(value=value),
-                1,
-            )
-        except Exception:
-            continue
-    return new_expression
-
-
-def try_evaluate_latex(expression: str, fmt: str = ".2e") -> str:
-    try:
-        with time_limit(seconds=5):
-            from sympy.parsing.latex import parse_latex
-
-            value = parse_latex(expression).evalf()  # type: ignore
-            return f"{{value:{fmt}}}".format(value=value)
-    except Exception:
-        return expression
-
-
-def first_answer(text: str, markers: Sequence[str] = ("Q:", "A:")) -> str:
-    for marker in markers:
-        text = text.split(marker)[0]
-    return text
-
-
-def extract_result_from_boxed(answer: str) -> str:
-    box_start = "\\boxed"
-    # format is `\\boxed $` or `\\boxed{}`, with potential white spaces framing ``
-    start = answer.rfind(box_start)
-    if start < 0:
-        return ""
-    answer = answer[start + len(box_start) :].strip()
-    ends_with_curly = answer.startswith("{")
-    i = 0
-    open_braces = 0
-    while i < len(answer):
-        if answer[i] == "{":
-            open_braces += 1
-        elif answer[i] == "}":
-            open_braces -= 1
-        if open_braces == 0:
-            if ends_with_curly:
-                answer = answer[: i + 1].strip()
-                break
-            elif answer[i] == "$":
-                answer = answer[:i].strip()
-                break
-        i += 1
-    else:
-        return ""
-    # remove extra curly braces
-    while True:
-        if answer.startswith("{") and answer.endswith("}"):
-            answer = answer[1:-1].strip()
-        else:
-            break
-    return answer
-
-
-# from minerva paper + _normalise_result from xavierm
-def normalize_final_answer(final_answer: str, regex_pattern: str, match_first: bool = True) -> str:
-    """Extract and normalize a final answer to a quantitative reasoning question."""
-    match = re.findall(regex_pattern, final_answer)
-    extraction: str
-    if len(match) > 0:
-        if match_first:
-            extraction = match[0]
-        else:
-            extraction = match[-1]
-    else:
-        extraction = extract_result_from_boxed(final_answer)
-
-    if len(extraction) == 0:
-        return final_answer
-    else:
-        final_answer = extraction
-    final_answer = final_answer.split("=")[-1]
-    for before, after in SUBSTITUTIONS:
-        final_answer = final_answer.replace(before, after)
-    for expr in REMOVED_EXPRESSIONS:
-        final_answer = final_answer.replace(expr, "")
-    # Extract answer that is in LaTeX math, is bold,
-    # is surrounded by a box, etc.
-    final_answer = re.sub(r"(.*?)(\$)(.*?)(\$)(.*)", "$\\3$", final_answer)
-    final_answer = re.sub(r"(\\text\{)(.*?)(\})", "\\2", final_answer)
-    final_answer = re.sub(r"(\\textbf\{)(.*?)(\})", "\\2", final_answer)
-    final_answer = re.sub(r"(\\overline\{)(.*?)(\})", "\\2", final_answer)
-    final_answer = re.sub(r"(\\boxed\{)(.*)(\})", "\\2", final_answer)
-    # Normalize shorthand TeX:
-    # \fracab -> \frac{a}{b}
-    # \frac{abc}{bef} -> \frac{abc}{bef}
-    # \fracabc -> \frac{a}{b}c
-    # \sqrta -> \sqrt{a}
-    # \sqrtab -> sqrt{a}b
-    final_answer = re.sub(r"(frac)([^{])(.)", "frac{\\2}{\\3}", final_answer)
-    final_answer = re.sub(r"(sqrt)([^{])", "sqrt{\\2}", final_answer)
-    final_answer = final_answer.replace("$", "")
-    # Normalize 100,000 -> 100000
-    if final_answer.replace(",", "").isdigit():
-        final_answer = final_answer.replace(",", "")
-    # If the final answer is a single letter in parentheses, remove the parentheses
-    # Example: (a) -> a (but not (ab) -> ab)
-    if re.match(r"\([a-zA-Z]\)", final_answer):
-        final_answer = final_answer[1]
-    return _normalise_result(final_answer)
-
-
-def _normalise_result(string: str) -> str:
-    # linebreaks
-    string = string.replace("\n", "")
-
-    # remove inverse spaces
-    string = string.replace("\\!", "")
-
-    # replace \\ with \
-    string = string.replace("\\\\", "\\")
-
-    # replace tfrac and dfrac with frac
-    string = string.replace("cfrac", "frac")
-    string = string.replace("tfrac", "frac")
-    string = string.replace("dfrac", "frac")
-
-    # remove \left and \right
-    string = string.replace("\\left", "")
-    string = string.replace("\\le", "")
-    string = string.replace("\\right", "")
-
-    # Remove circ (degrees)
-    string = string.replace("^{\\circ}", "")
-    string = string.replace("^\\circ", "")
-
-    # remove dollar signs
-    string = string.replace("\\$", "")
-
-    # remove units (on the right)
-    string = _remove_right_units(string)
-
-    # remove percentage
-    string = string.replace("\\%", "")
-    string = string.replace(r"\%", "")
-
-    # " 0." equivalent to " ." and "{0." equivalent to "{." Alternatively, add "0" if "." is the start of the string
-    string = string.replace(" .", " 0.")
-    string = string.replace("{.", "{0.")
-    # if empty, return empty string
-    if len(string) == 0:
-        return string
-    if string[0] == ".":
-        string = "0" + string
-
-    # to consider: get rid of e.g. "k = " or "q = " at beginning
-    string = string.split("=")[-1]
-
-    # fix sqrt3 --> sqrt{3}
-    string = _fix_sqrt(string)
-
-    # remove spaces
-    string = string.replace(" ", "")
-
-    # \frac1b or \frac12 --> \frac{1}{b} and \frac{1}{2}, etc. Even works with \frac1{72} (but not \frac{72}1). Also does a/b --> \\frac{a}{b}
-    string = _fix_fracs(string)
-
-    # manually change 0.5 --> \frac{1}{2}
-    if string == "0.5":
-        string = "\\frac{1}{2}"
-
-    # NOTE: X/Y changed to \frac{X}{Y} in dataset, but in simple cases fix in case the model output is X/Y
-    string = _fix_a_slash_b(string)
-
-    return string
-
-
-def _remove_right_units(string: str) -> str:
-    # "\\text{ " only ever occurs (at least in the val set) when describing units
-    try:
-        if "\\text{ " in string:
-            splits = string.split("\\text{ ")
-            assert len(splits) == 2
-            return splits[0]
-        else:
-            return string
-    except AssertionError:
-        return string
-
-
-def _fix_sqrt(string: str) -> str:
-    if "\\sqrt" not in string:
-        return string
-    splits = string.split("\\sqrt")
-    new_string = splits[0]
-    for split in splits[1:]:
-        if len(split) == 0:
-            return string
-        if split[0] != "{":
-            a = split[0]
-            new_substr = "\\sqrt{" + a + "}" + split[1:]
-        else:
-            new_substr = "\\sqrt" + split
-        new_string += new_substr
-    return new_string
-
-
-def _fix_fracs(string: str) -> str:
-    substrs = string.split("\\frac")
-    new_str = substrs[0]
-    if len(substrs) > 1:
-        substrs = substrs[1:]
-        for substr in substrs:
-            new_str += "\\frac"
-            if len(substr) == 0:
-                return string
-            if substr[0] == "{":
-                new_str += substr
-            else:
-                try:
-                    assert len(substr) >= 2
-                except AssertionError:
-                    return string
-                a = substr[0]
-                b = substr[1]
-                if b != "{":
-                    if len(substr) > 2:
-                        post_substr = substr[2:]
-                        new_str += "{" + a + "}{" + b + "}" + post_substr
-                    else:
-                        new_str += "{" + a + "}{" + b + "}"
-                else:
-                    if len(substr) > 2:
-                        post_substr = substr[2:]
-                        new_str += "{" + a + "}" + b + post_substr
-                    else:
-                        new_str += "{" + a + "}" + b
-    string = new_str
-    return string
-
-
-def _fix_a_slash_b(string: str) -> str:
-    if len(string.split("/")) != 2:
-        return string
-    a = string.split("/")[0]
-    b = string.split("/")[1]
-    try:
-        ia = int(a)
-        ib = int(b)
-        assert string == "{}/{}".format(ia, ib)
-        new_string = "\\frac{" + str(ia) + "}{" + str(ib) + "}"
-        return new_string
-    except (ValueError, AssertionError):
-        return string
diff --git a/llama_stack/providers/inline/scoring/braintrust/__init__.py b/llama_stack/providers/inline/scoring/braintrust/__init__.py
deleted file mode 100644
index f1b0112d9..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/__init__.py
+++ /dev/null
@@ -1,27 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict
-
-from pydantic import BaseModel
-
-from llama_stack.distribution.datatypes import Api
-
-from .config import BraintrustScoringConfig
-
-
-class BraintrustProviderDataValidator(BaseModel):
-    openai_api_key: str
-
-
-async def get_provider_impl(
-    config: BraintrustScoringConfig,
-    deps: Dict[Api, Any],
-):
-    from .braintrust import BraintrustScoringImpl
-
-    impl = BraintrustScoringImpl(config, deps[Api.datasetio], deps[Api.datasets])
-    await impl.initialize()
-    return impl
diff --git a/llama_stack/providers/inline/scoring/braintrust/braintrust.py b/llama_stack/providers/inline/scoring/braintrust/braintrust.py
deleted file mode 100644
index 3fae83340..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/braintrust.py
+++ /dev/null
@@ -1,232 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-import os
-from typing import Any, Dict, List, Optional
-
-from autoevals.llm import Factuality
-from autoevals.ragas import (
-    AnswerCorrectness,
-    AnswerRelevancy,
-    AnswerSimilarity,
-    ContextEntityRecall,
-    ContextPrecision,
-    ContextRecall,
-    ContextRelevancy,
-    Faithfulness,
-)
-from pydantic import BaseModel
-
-from llama_stack.apis.datasetio import DatasetIO
-from llama_stack.apis.datasets import Datasets
-from llama_stack.apis.scoring import (
-    ScoreBatchResponse,
-    ScoreResponse,
-    Scoring,
-    ScoringResult,
-    ScoringResultRow,
-)
-from llama_stack.apis.scoring_functions import ScoringFn, ScoringFnParams
-from llama_stack.distribution.datatypes import Api
-from llama_stack.distribution.request_headers import NeedsRequestProviderData
-from llama_stack.providers.datatypes import ScoringFunctionsProtocolPrivate
-from llama_stack.providers.utils.common.data_schema_validator import (
-    get_valid_schemas,
-    validate_dataset_schema,
-    validate_row_schema,
-)
-from llama_stack.providers.utils.scoring.aggregation_utils import aggregate_metrics
-
-from .config import BraintrustScoringConfig
-from .scoring_fn.fn_defs.answer_correctness import answer_correctness_fn_def
-from .scoring_fn.fn_defs.answer_relevancy import answer_relevancy_fn_def
-from .scoring_fn.fn_defs.answer_similarity import answer_similarity_fn_def
-from .scoring_fn.fn_defs.context_entity_recall import context_entity_recall_fn_def
-from .scoring_fn.fn_defs.context_precision import context_precision_fn_def
-from .scoring_fn.fn_defs.context_recall import context_recall_fn_def
-from .scoring_fn.fn_defs.context_relevancy import context_relevancy_fn_def
-from .scoring_fn.fn_defs.factuality import factuality_fn_def
-from .scoring_fn.fn_defs.faithfulness import faithfulness_fn_def
-
-
-class BraintrustScoringFnEntry(BaseModel):
-    identifier: str
-    evaluator: Any
-    fn_def: ScoringFn
-
-
-SUPPORTED_BRAINTRUST_SCORING_FN_ENTRY = [
-    BraintrustScoringFnEntry(
-        identifier="braintrust::factuality",
-        evaluator=Factuality(),
-        fn_def=factuality_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::answer-correctness",
-        evaluator=AnswerCorrectness(),
-        fn_def=answer_correctness_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::answer-relevancy",
-        evaluator=AnswerRelevancy(),
-        fn_def=answer_relevancy_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::answer-similarity",
-        evaluator=AnswerSimilarity(),
-        fn_def=answer_similarity_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::faithfulness",
-        evaluator=Faithfulness(),
-        fn_def=faithfulness_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::context-entity-recall",
-        evaluator=ContextEntityRecall(),
-        fn_def=context_entity_recall_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::context-precision",
-        evaluator=ContextPrecision(),
-        fn_def=context_precision_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::context-recall",
-        evaluator=ContextRecall(),
-        fn_def=context_recall_fn_def,
-    ),
-    BraintrustScoringFnEntry(
-        identifier="braintrust::context-relevancy",
-        evaluator=ContextRelevancy(),
-        fn_def=context_relevancy_fn_def,
-    ),
-]
-
-
-class BraintrustScoringImpl(
-    Scoring,
-    ScoringFunctionsProtocolPrivate,
-    NeedsRequestProviderData,
-):
-    def __init__(
-        self,
-        config: BraintrustScoringConfig,
-        datasetio_api: DatasetIO,
-        datasets_api: Datasets,
-    ) -> None:
-        self.config = config
-        self.datasetio_api = datasetio_api
-        self.datasets_api = datasets_api
-
-        self.braintrust_evaluators = {
-            entry.identifier: entry.evaluator for entry in SUPPORTED_BRAINTRUST_SCORING_FN_ENTRY
-        }
-        self.supported_fn_defs_registry = {
-            entry.identifier: entry.fn_def for entry in SUPPORTED_BRAINTRUST_SCORING_FN_ENTRY
-        }
-
-    async def initialize(self) -> None: ...
-
-    async def shutdown(self) -> None: ...
-
-    async def list_scoring_functions(self) -> List[ScoringFn]:
-        scoring_fn_defs_list = list(self.supported_fn_defs_registry.values())
-        for f in scoring_fn_defs_list:
-            assert f.identifier.startswith("braintrust"), (
-                "All braintrust scoring fn must have identifier prefixed with 'braintrust'! "
-            )
-
-        return scoring_fn_defs_list
-
-    async def register_scoring_function(self, scoring_fn: ScoringFn) -> None:
-        raise NotImplementedError("Registering scoring function not allowed for braintrust provider")
-
-    async def set_api_key(self) -> None:
-        # api key is in the request headers
-        if not self.config.openai_api_key:
-            provider_data = self.get_request_provider_data()
-            if provider_data is None or not provider_data.openai_api_key:
-                raise ValueError(
-                    'Pass OpenAI API Key in the header X-LlamaStack-Provider-Data as { "openai_api_key": }'
-                )
-            self.config.openai_api_key = provider_data.openai_api_key
-
-        os.environ["OPENAI_API_KEY"] = self.config.openai_api_key
-
-    async def score_batch(
-        self,
-        dataset_id: str,
-        scoring_functions: Dict[str, Optional[ScoringFnParams]],
-        save_results_dataset: bool = False,
-    ) -> ScoreBatchResponse:
-        await self.set_api_key()
-
-        dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value))
-
-        all_rows = await self.datasetio_api.iterrows(
-            dataset_id=dataset_id,
-            limit=-1,
-        )
-        res = await self.score(input_rows=all_rows.data, scoring_functions=scoring_functions)
-        if save_results_dataset:
-            # TODO: persist and register dataset on to server for reading
-            # self.datasets_api.register_dataset()
-            raise NotImplementedError("Save results dataset not implemented yet")
-
-        return ScoreBatchResponse(
-            results=res.results,
-        )
-
-    async def score_row(
-        self, input_row: Dict[str, Any], scoring_fn_identifier: Optional[str] = None
-    ) -> ScoringResultRow:
-        validate_row_schema(input_row, get_valid_schemas(Api.scoring.value))
-        await self.set_api_key()
-        assert scoring_fn_identifier is not None, "scoring_fn_identifier cannot be None"
-        expected_answer = input_row["expected_answer"]
-        generated_answer = input_row["generated_answer"]
-        input_query = input_row["input_query"]
-        evaluator = self.braintrust_evaluators[scoring_fn_identifier]
-
-        result = evaluator(
-            generated_answer,
-            expected_answer,
-            input=input_query,
-            context=input_row["context"] if "context" in input_row else None,
-        )
-        score = result.score
-        return {"score": score, "metadata": result.metadata}
-
-    async def score(
-        self,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: Dict[str, Optional[ScoringFnParams]],
-    ) -> ScoreResponse:
-        await self.set_api_key()
-        res = {}
-        for scoring_fn_id in scoring_functions:
-            if scoring_fn_id not in self.supported_fn_defs_registry:
-                raise ValueError(f"Scoring function {scoring_fn_id} is not supported.")
-
-            score_results = [await self.score_row(input_row, scoring_fn_id) for input_row in input_rows]
-            aggregation_functions = self.supported_fn_defs_registry[scoring_fn_id].params.aggregation_functions
-
-            # override scoring_fn params if provided
-            if scoring_functions[scoring_fn_id] is not None:
-                override_params = scoring_functions[scoring_fn_id]
-                if override_params.aggregation_functions:
-                    aggregation_functions = override_params.aggregation_functions
-
-            agg_results = aggregate_metrics(score_results, aggregation_functions)
-            res[scoring_fn_id] = ScoringResult(
-                score_rows=score_results,
-                aggregated_results=agg_results,
-            )
-
-        return ScoreResponse(
-            results=res,
-        )
diff --git a/llama_stack/providers/inline/scoring/braintrust/config.py b/llama_stack/providers/inline/scoring/braintrust/config.py
deleted file mode 100644
index d4e0d9bcd..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/config.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict, Optional
-
-from pydantic import BaseModel, Field
-
-
-class BraintrustScoringConfig(BaseModel):
-    openai_api_key: Optional[str] = Field(
-        default=None,
-        description="The OpenAI API Key",
-    )
-
-    @classmethod
-    def sample_run_config(cls, **kwargs) -> Dict[str, Any]:
-        return {
-            "openai_api_key": "${env.OPENAI_API_KEY:}",
-        }
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/__init__.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/__init__.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_correctness.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_correctness.py
deleted file mode 100644
index 4fe07f822..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_correctness.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-answer_correctness_fn_def = ScoringFn(
-    identifier="braintrust::answer-correctness",
-    description=(
-        "Scores the correctness of the answer based on the ground truth. "
-        "Uses Braintrust LLM-based scorer from autoevals library."
-    ),
-    provider_id="braintrust",
-    provider_resource_id="answer-correctness",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_relevancy.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_relevancy.py
deleted file mode 100644
index a1995cc4e..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_relevancy.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-answer_relevancy_fn_def = ScoringFn(
-    identifier="braintrust::answer-relevancy",
-    description=(
-        "Test output relevancy against the input query using Braintrust LLM scorer. "
-        "See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="answer-relevancy",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_similarity.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_similarity.py
deleted file mode 100644
index e8fe15259..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/answer_similarity.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-answer_similarity_fn_def = ScoringFn(
-    identifier="braintrust::answer-similarity",
-    description=(
-        "Test output similarity against expected value using Braintrust LLM scorer. "
-        "See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="answer-similarity",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_entity_recall.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_entity_recall.py
deleted file mode 100644
index d9b129a8b..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_entity_recall.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-context_entity_recall_fn_def = ScoringFn(
-    identifier="braintrust::context-entity-recall",
-    description=(
-        "Evaluates how well the context captures the named entities present in the "
-        "reference answer. See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="context-entity-recall",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_precision.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_precision.py
deleted file mode 100644
index c1d7e855b..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_precision.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-context_precision_fn_def = ScoringFn(
-    identifier="braintrust::context-precision",
-    description=(
-        "Measures how much of the provided context is actually relevant to answering the "
-        "question. See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="context-precision",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_recall.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_recall.py
deleted file mode 100644
index 01ddd0dd0..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_recall.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-context_recall_fn_def = ScoringFn(
-    identifier="braintrust::context-recall",
-    description=(
-        "Evaluates how well the context covers the information needed to answer the "
-        "question. See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="context-recall",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_relevancy.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_relevancy.py
deleted file mode 100644
index 55d89344a..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/context_relevancy.py
+++ /dev/null
@@ -1,23 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-context_relevancy_fn_def = ScoringFn(
-    identifier="braintrust::context-relevancy",
-    description=(
-        "Assesses how relevant the provided context is to the given question. See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="context-relevancy",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/factuality.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/factuality.py
deleted file mode 100644
index c621ecf7f..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/factuality.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-factuality_fn_def = ScoringFn(
-    identifier="braintrust::factuality",
-    description=(
-        "Test output factuality against expected value using Braintrust LLM scorer. "
-        "See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="factuality",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/faithfulness.py b/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/faithfulness.py
deleted file mode 100644
index 2e85c0c7c..000000000
--- a/llama_stack/providers/inline/scoring/braintrust/scoring_fn/fn_defs/faithfulness.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    BasicScoringFnParams,
-    ScoringFn,
-)
-
-faithfulness_fn_def = ScoringFn(
-    identifier="braintrust::faithfulness",
-    description=(
-        "Test output faithfulness to the input query using Braintrust LLM scorer. "
-        "See: github.com/braintrustdata/autoevals"
-    ),
-    provider_id="braintrust",
-    provider_resource_id="faithfulness",
-    return_type=NumberType(),
-    params=BasicScoringFnParams(aggregation_functions=[AggregationFunctionType.average]),
-)
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/__init__.py b/llama_stack/providers/inline/scoring/llm_as_judge/__init__.py
deleted file mode 100644
index 4a83bfe13..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/__init__.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict
-
-from llama_stack.distribution.datatypes import Api
-
-from .config import LlmAsJudgeScoringConfig
-
-
-async def get_provider_impl(
-    config: LlmAsJudgeScoringConfig,
-    deps: Dict[Api, Any],
-):
-    from .scoring import LlmAsJudgeScoringImpl
-
-    impl = LlmAsJudgeScoringImpl(config, deps[Api.datasetio], deps[Api.datasets], deps[Api.inference])
-    await impl.initialize()
-    return impl
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/config.py b/llama_stack/providers/inline/scoring/llm_as_judge/config.py
deleted file mode 100644
index ff63fc5e7..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/config.py
+++ /dev/null
@@ -1,14 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict
-
-from pydantic import BaseModel
-
-
-class LlmAsJudgeScoringConfig(BaseModel):
-    @classmethod
-    def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> Dict[str, Any]:
-        return {}
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
deleted file mode 100644
index 7f004fbb6..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
+++ /dev/null
@@ -1,110 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-from typing import Any, Dict, List, Optional
-
-from llama_stack.apis.datasetio import DatasetIO
-from llama_stack.apis.datasets import Datasets
-from llama_stack.apis.inference.inference import Inference
-from llama_stack.apis.scoring import (
-    ScoreBatchResponse,
-    ScoreResponse,
-    Scoring,
-    ScoringResult,
-)
-from llama_stack.apis.scoring_functions import ScoringFn, ScoringFnParams
-from llama_stack.distribution.datatypes import Api
-from llama_stack.providers.datatypes import ScoringFunctionsProtocolPrivate
-from llama_stack.providers.utils.common.data_schema_validator import (
-    get_valid_schemas,
-    validate_dataset_schema,
-)
-
-from .config import LlmAsJudgeScoringConfig
-from .scoring_fn.llm_as_judge_scoring_fn import LlmAsJudgeScoringFn
-
-LLM_JUDGE_FN = LlmAsJudgeScoringFn
-
-
-class LlmAsJudgeScoringImpl(
-    Scoring,
-    ScoringFunctionsProtocolPrivate,
-):
-    def __init__(
-        self,
-        config: LlmAsJudgeScoringConfig,
-        datasetio_api: DatasetIO,
-        datasets_api: Datasets,
-        inference_api: Inference,
-    ) -> None:
-        self.config = config
-        self.datasetio_api = datasetio_api
-        self.datasets_api = datasets_api
-        self.inference_api = inference_api
-
-    async def initialize(self) -> None:
-        impl = LLM_JUDGE_FN(inference_api=self.inference_api)
-        self.llm_as_judge_fn = impl
-
-    async def shutdown(self) -> None: ...
-
-    async def list_scoring_functions(self) -> List[ScoringFn]:
-        scoring_fn_defs_list = self.llm_as_judge_fn.get_supported_scoring_fn_defs()
-
-        for f in self.llm_as_judge_fn.get_supported_scoring_fn_defs():
-            assert f.identifier.startswith("llm-as-judge"), (
-                "All llm-as-judge scoring fn must have identifier prefixed with 'llm-as-judge'! "
-            )
-
-        return scoring_fn_defs_list
-
-    async def register_scoring_function(self, function_def: ScoringFn) -> None:
-        self.llm_as_judge_fn.register_scoring_fn_def(function_def)
-
-    async def score_batch(
-        self,
-        dataset_id: str,
-        scoring_functions: Dict[str, Optional[ScoringFnParams]] = None,
-        save_results_dataset: bool = False,
-    ) -> ScoreBatchResponse:
-        dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value))
-
-        all_rows = await self.datasetio_api.iterrows(
-            dataset_id=dataset_id,
-            limit=-1,
-        )
-        res = await self.score(
-            input_rows=all_rows.data,
-            scoring_functions=scoring_functions,
-        )
-        if save_results_dataset:
-            # TODO: persist and register dataset on to server for reading
-            # self.datasets_api.register_dataset()
-            raise NotImplementedError("Save results dataset not implemented yet")
-
-        return ScoreBatchResponse(
-            results=res.results,
-        )
-
-    async def score(
-        self,
-        input_rows: List[Dict[str, Any]],
-        scoring_functions: Dict[str, Optional[ScoringFnParams]] = None,
-    ) -> ScoreResponse:
-        res = {}
-        for scoring_fn_id in scoring_functions.keys():
-            scoring_fn = self.llm_as_judge_fn
-            scoring_fn_params = scoring_functions.get(scoring_fn_id, None)
-            score_results = await scoring_fn.score(input_rows, scoring_fn_id, scoring_fn_params)
-            agg_results = await scoring_fn.aggregate(score_results, scoring_fn_id, scoring_fn_params)
-            res[scoring_fn_id] = ScoringResult(
-                score_rows=score_results,
-                aggregated_results=agg_results,
-            )
-
-        return ScoreResponse(
-            results=res,
-        )
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/__init__.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/__init__.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/__init__.py
deleted file mode 100644
index 756f351d8..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_405b_simpleqa.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_405b_simpleqa.py
deleted file mode 100644
index 074f1ff46..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_405b_simpleqa.py
+++ /dev/null
@@ -1,96 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import (
-    AggregationFunctionType,
-    LLMAsJudgeScoringFnParams,
-    ScoringFn,
-)
-
-GRADER_TEMPLATE = """
-Your job is to look at a question, a gold target, and a predicted answer, and then assign a grade of either ["CORRECT", "INCORRECT", "NOT_ATTEMPTED"].
-First, I will give examples of each grade, and then you will grade a new example.
-The following are examples of CORRECT predicted answers.
-```
-Question: What are the names of Barack Obama's children?
-Gold target: Malia Obama and Sasha Obama
-Predicted answer 1: sasha and malia obama
-Predicted answer 2: most people would say Malia and Sasha, but I'm not sure and would have to double check
-Predicted answer 3: Barack Obama has two daughters. Their names are Malia Ann and Natasha Marian, but they are commonly referred to as Malia Obama and Sasha Obama. Malia was born on July 4, 1998, and Sasha was born on June 10, 2001.
-```
-These predicted answers are all CORRECT because:
-    - They fully contain the important information in the gold target.
-    - They do not contain any information that contradicts the gold target.
-    - Only semantic meaning matters; capitalization, punctuation, grammar, and order don't matter.
-    - Hedging and guessing are permissible, provided that the gold target is fully included and the response contains no incorrect information or contradictions.
-The following are examples of INCORRECT predicted answers.
-```
-Question: What are the names of Barack Obama's children?
-Gold target: Malia and Sasha
-Predicted answer 1: Malia.
-Predicted answer 2: Malia, Sasha, and Susan.
-Predicted answer 3: Barack Obama does not have any children.
-Predicted answer 4: I think it's either Malia and Sasha. Or it could be Malia and Jackie. Or it could be Joey and Malia.
-Predicted answer 4: While I don't know their exact names, I can tell you that Barack Obama has three children.
-Predicted answer 5: It's possible you may mean Betsy and Olivia. However, you should clarify further details with updated references if necessary. Is that the correct answer?
-Predicted answer 6: It may be the case that Obama's child is named James. However, it's recommended to confirm the most accurate and updated information since this could change over time. This model may not always reflect the most current information.
-```
-These predicted answers are all INCORRECT because:
-    - A factual statement in the answer contradicts the gold target. Incorrect statements that have some hedging (e.g., "it is possible that", "although i'm not sure, i think") are also considered incorrect.
-The following are examples of NOT_ATTEMPTED predicted answers.
-```
-Question: What are the names of Barack Obama's children?
-Gold target: Malia and Sasha
-Predicted answer 1: I don't know.
-Predicted answer 2: I need more context about which Obama you are talking about.
-Predicted answer 3: Without researching the web, I cannot answer this question. However, I can tell you that Barack Obama has two children.
-Predicted answer 4: Barack Obama has two children. I know that one of them is Malia, but I'm not sure about the other one.
-```
-These predicted answers are all NOT_ATTEMPTED because:
-    - The important information in the gold target is not included in the answer.
-    - No statements in the answer contradict the gold target.
-Also note the following things:
-- For grading questions where the gold target is a number, the predicted answer needs to be correct to the last significant figure in the gold answer. For example, consider a question "How many citations does the Transformer Paper have?" with gold target "120k".
-    - Predicted answers "120k", "124k", and 115k" are all CORRECT.
-    - Predicted answers "100k" and "113k" are INCORRECT.
-    - Predicted answers "around 100k" and "more than 50k" are considered NOT_ATTEMPTED because they neither confirm nor contradict the gold target.
-- The gold target may contain more information than the question. In such cases, the predicted answer only needs to contain the information that is in the question.
-    - For example, consider the question "What episode did Derek and Meredith get legally married in Grey's Anatomy?" with gold target "Season 7, Episode 20: White Wedding". Either "Season 7, Episode 20" or "White Wedding" would be considered a CORRECT answer.
-- Do not punish predicted answers if they omit information that would be clearly inferred from the question.
-    - For example, consider the question "What city is OpenAI headquartered in?" and the gold target "San Francisco, California". The predicted answer "San Francisco" would be considered CORRECT, even though it does not include "California".
-    - Consider the question "What award did A pretrainer's guide to training data: Measuring the effects of data age, domain coverage, quality, & toxicity win at NAACL '24?", the gold target is "Outstanding Paper Award". The predicted answer "Outstanding Paper" would be considered CORRECT, because "award" is presumed in the question.
-    - For the question "What is the height of Jason Wei in meters?", the gold target is "1.73 m". The predicted answer "1.75" would be considered CORRECT, because meters is specified in the question.
-    - For the question "What is the name of Barack Obama's wife?", the gold target is "Michelle Obama". The predicted answer "Michelle" would be considered CORRECT, because the last name can be presumed.
-- Do not punish for typos in people's name if it's clearly the same name.
-    - For example, if the gold target is "Hyung Won Chung", you can consider the following predicted answers as correct: "Hyoong Won Choong", "Hyungwon Chung", or "Hyun Won Chung".
-Here is a new example. Simply reply with either CORRECT, INCORRECT, NOT ATTEMPTED. Don't apologize or correct yourself if there was a mistake; we are just trying to grade the answer.
-```
-Question: {input_query}
-Gold target: {expected_answer}
-Predicted answer: {generated_answer}
-```
-Grade the predicted answer of this new question as one of:
-A: CORRECT
-B: INCORRECT
-C: NOT_ATTEMPTED
-Just return the letters "A", "B", or "C", with no text around it.
-""".strip()
-
-
-llm_as_judge_405b_simpleqa = ScoringFn(
-    identifier="llm-as-judge::405b-simpleqa",
-    description="Llm As Judge Scoring Function for SimpleQA Benchmark (https://github.com/openai/simple-evals/blob/main/simpleqa_eval.py)",
-    return_type=NumberType(),
-    provider_id="llm-as-judge",
-    provider_resource_id="llm-as-judge-405b-simpleqa",
-    params=LLMAsJudgeScoringFnParams(
-        judge_model="meta-llama/Llama-3.1-405B-Instruct",
-        prompt_template=GRADER_TEMPLATE,
-        judge_score_regexes=[r"(A|B|C)"],
-        aggregation_functions=[AggregationFunctionType.categorical_count.value],
-    ),
-)
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_base.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_base.py
deleted file mode 100644
index 205e0bbf3..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/fn_defs/llm_as_judge_base.py
+++ /dev/null
@@ -1,20 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from llama_stack.apis.common.type_system import NumberType
-from llama_stack.apis.scoring_functions import LLMAsJudgeScoringFnParams, ScoringFn
-
-llm_as_judge_base = ScoringFn(
-    identifier="llm-as-judge::base",
-    description="Llm As Judge Scoring Function",
-    return_type=NumberType(),
-    provider_id="llm-as-judge",
-    provider_resource_id="llm-as-judge-base",
-    params=LLMAsJudgeScoringFnParams(
-        judge_model="meta-llama/Llama-3.1-405B-Instruct",
-        prompt_template="Enter custom LLM as Judge Prompt Template",
-    ),
-)
diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py
deleted file mode 100644
index f4e8ab0aa..000000000
--- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py
+++ /dev/null
@@ -1,79 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-import re
-from typing import Any, Dict, Optional
-
-from llama_stack.apis.inference.inference import Inference, UserMessage
-from llama_stack.apis.scoring import ScoringResultRow
-from llama_stack.apis.scoring_functions import ScoringFnParams
-from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn
-
-from .fn_defs.llm_as_judge_405b_simpleqa import llm_as_judge_405b_simpleqa
-from .fn_defs.llm_as_judge_base import llm_as_judge_base
-
-
-class LlmAsJudgeScoringFn(RegisteredBaseScoringFn):
-    """
-    A scoring_fn that assigns
-    """
-
-    def __init__(self, inference_api: Inference, *arg, **kwargs) -> None:
-        super().__init__(*arg, **kwargs)
-        self.inference_api = inference_api
-        self.supported_fn_defs_registry = {
-            llm_as_judge_base.identifier: llm_as_judge_base,
-            llm_as_judge_405b_simpleqa.identifier: llm_as_judge_405b_simpleqa,
-        }
-
-    async def score_row(
-        self,
-        input_row: Dict[str, Any],
-        scoring_fn_identifier: Optional[str] = None,
-        scoring_params: Optional[ScoringFnParams] = None,
-    ) -> ScoringResultRow:
-        assert scoring_fn_identifier is not None, "Scoring function identifier not found."
-        fn_def = self.supported_fn_defs_registry[scoring_fn_identifier]
-
-        # override params if scoring_params is provided
-        if scoring_params is not None:
-            fn_def.params = scoring_params
-
-        assert fn_def.params is not None, f"LLMAsJudgeparams not found for {fn_def}."
-        assert fn_def.params.prompt_template is not None, "LLM Judge prompt_template not found."
-        assert fn_def.params.judge_score_regexes is not None, "LLM Judge judge_score_regexes not found."
-
-        input_query = input_row["input_query"]
-        expected_answer = input_row["expected_answer"]
-        generated_answer = input_row["generated_answer"]
-
-        judge_input_msg = fn_def.params.prompt_template.format(
-            input_query=input_query,
-            expected_answer=expected_answer,
-            generated_answer=generated_answer,
-        )
-
-        judge_response = await self.inference_api.chat_completion(
-            model_id=fn_def.params.judge_model,
-            messages=[
-                UserMessage(
-                    content=judge_input_msg,
-                ),
-            ],
-        )
-        content = judge_response.completion_message.content
-        rating_regexes = fn_def.params.judge_score_regexes
-
-        judge_rating = None
-        for regex in rating_regexes:
-            match = re.search(regex, content)
-            if match:
-                judge_rating = match.group(1)
-                break
-
-        return {
-            "score": judge_rating,
-            "judge_feedback": content,
-        }
diff --git a/llama_stack/templates/open-benchmark/__init__.py b/llama_stack/templates/open-benchmark/__init__.py
deleted file mode 100644
index 14d0a28f5..000000000
--- a/llama_stack/templates/open-benchmark/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from .open_benchmark import get_distribution_template  # noqa: F401
diff --git a/llama_stack/templates/open-benchmark/build.yaml b/llama_stack/templates/open-benchmark/build.yaml
deleted file mode 100644
index b39a17820..000000000
--- a/llama_stack/templates/open-benchmark/build.yaml
+++ /dev/null
@@ -1,30 +0,0 @@
-version: '2'
-distribution_spec:
-  description: Distribution for running open benchmarks
-  providers:
-    inference:
-    - remote::openai
-    - remote::anthropic
-    - remote::gemini
-    - remote::groq
-    - remote::together
-    vector_io:
-    - inline::sqlite-vec
-    - remote::chromadb
-    - remote::pgvector
-    safety:
-    - inline::llama-guard
-    agents:
-    - inline::meta-reference
-    telemetry:
-    - inline::meta-reference
-    datasetio:
-    - remote::huggingface
-    - inline::localfs
-    tool_runtime:
-    - remote::brave-search
-    - remote::tavily-search
-    - inline::code-interpreter
-    - inline::rag-runtime
-    - remote::model-context-protocol
-image_type: conda
diff --git a/llama_stack/templates/open-benchmark/open_benchmark.py b/llama_stack/templates/open-benchmark/open_benchmark.py
deleted file mode 100644
index cfa9135cf..000000000
--- a/llama_stack/templates/open-benchmark/open_benchmark.py
+++ /dev/null
@@ -1,304 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the terms described in the LICENSE file in
-# the root directory of this source tree.
-
-from typing import Dict, List, Tuple
-
-from llama_stack.apis.datasets import DatasetPurpose, URIDataSource
-from llama_stack.apis.models.models import ModelType
-from llama_stack.distribution.datatypes import (
-    DatasetInput,
-    ModelInput,
-    Provider,
-    ShieldInput,
-    ToolGroupInput,
-)
-from llama_stack.providers.inline.vector_io.sqlite_vec.config import (
-    SQLiteVectorIOConfig,
-)
-from llama_stack.providers.remote.inference.anthropic.config import AnthropicConfig
-from llama_stack.providers.remote.inference.gemini.config import GeminiConfig
-from llama_stack.providers.remote.inference.groq.config import GroqConfig
-from llama_stack.providers.remote.inference.openai.config import OpenAIConfig
-from llama_stack.providers.remote.inference.together.config import TogetherImplConfig
-from llama_stack.providers.remote.vector_io.chroma.config import ChromaVectorIOConfig
-from llama_stack.providers.remote.vector_io.pgvector.config import (
-    PGVectorVectorIOConfig,
-)
-from llama_stack.providers.utils.inference.model_registry import ProviderModelEntry
-from llama_stack.templates.template import (
-    DistributionTemplate,
-    RunConfigSettings,
-    get_model_registry,
-)
-
-
-def get_inference_providers() -> Tuple[List[Provider], Dict[str, List[ProviderModelEntry]]]:
-    # in this template, we allow each API key to be optional
-    providers = [
-        (
-            "openai",
-            [
-                ProviderModelEntry(
-                    provider_model_id="openai/gpt-4o",
-                    model_type=ModelType.llm,
-                )
-            ],
-            OpenAIConfig.sample_run_config(api_key="${env.OPENAI_API_KEY:}"),
-        ),
-        (
-            "anthropic",
-            [
-                ProviderModelEntry(
-                    provider_model_id="anthropic/claude-3-5-sonnet-latest",
-                    model_type=ModelType.llm,
-                )
-            ],
-            AnthropicConfig.sample_run_config(api_key="${env.ANTHROPIC_API_KEY:}"),
-        ),
-        (
-            "gemini",
-            [
-                ProviderModelEntry(
-                    provider_model_id="gemini/gemini-1.5-flash",
-                    model_type=ModelType.llm,
-                )
-            ],
-            GeminiConfig.sample_run_config(api_key="${env.GEMINI_API_KEY:}"),
-        ),
-        (
-            "groq",
-            [],
-            GroqConfig.sample_run_config(api_key="${env.GROQ_API_KEY:}"),
-        ),
-        (
-            "together",
-            [],
-            TogetherImplConfig.sample_run_config(api_key="${env.TOGETHER_API_KEY:}"),
-        ),
-    ]
-    inference_providers = []
-    available_models = {}
-    for provider_id, model_entries, config in providers:
-        inference_providers.append(
-            Provider(
-                provider_id=provider_id,
-                provider_type=f"remote::{provider_id}",
-                config=config,
-            )
-        )
-        available_models[provider_id] = model_entries
-    return inference_providers, available_models
-
-
-def get_distribution_template() -> DistributionTemplate:
-    inference_providers, available_models = get_inference_providers()
-    providers = {
-        "inference": [p.provider_type for p in inference_providers],
-        "vector_io": ["inline::sqlite-vec", "remote::chromadb", "remote::pgvector"],
-        "safety": ["inline::llama-guard"],
-        "agents": ["inline::meta-reference"],
-        "telemetry": ["inline::meta-reference"],
-        "datasetio": ["remote::huggingface", "inline::localfs"],
-        "tool_runtime": [
-            "remote::brave-search",
-            "remote::tavily-search",
-            "inline::code-interpreter",
-            "inline::rag-runtime",
-            "remote::model-context-protocol",
-        ],
-    }
-    name = "open-benchmark"
-
-    vector_io_providers = [
-        Provider(
-            provider_id="sqlite-vec",
-            provider_type="inline::sqlite-vec",
-            config=SQLiteVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
-        ),
-        Provider(
-            provider_id="${env.ENABLE_CHROMADB+chromadb}",
-            provider_type="remote::chromadb",
-            config=ChromaVectorIOConfig.sample_run_config(url="${env.CHROMADB_URL:}"),
-        ),
-        Provider(
-            provider_id="${env.ENABLE_PGVECTOR+pgvector}",
-            provider_type="remote::pgvector",
-            config=PGVectorVectorIOConfig.sample_run_config(
-                db="${env.PGVECTOR_DB:}",
-                user="${env.PGVECTOR_USER:}",
-                password="${env.PGVECTOR_PASSWORD:}",
-            ),
-        ),
-    ]
-
-    default_tool_groups = [
-        ToolGroupInput(
-            toolgroup_id="builtin::websearch",
-            provider_id="tavily-search",
-        ),
-        ToolGroupInput(
-            toolgroup_id="builtin::rag",
-            provider_id="rag-runtime",
-        ),
-        ToolGroupInput(
-            toolgroup_id="builtin::code_interpreter",
-            provider_id="code-interpreter",
-        ),
-    ]
-
-    default_models = get_model_registry(available_models) + [
-        ModelInput(
-            model_id="meta-llama/Llama-3.3-70B-Instruct",
-            provider_id="groq",
-            provider_model_id="groq/llama-3.3-70b-versatile",
-            model_type=ModelType.llm,
-        ),
-        ModelInput(
-            model_id="meta-llama/Llama-3.1-405B-Instruct",
-            provider_id="together",
-            provider_model_id="meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
-            model_type=ModelType.llm,
-        ),
-    ]
-
-    default_datasets = [
-        DatasetInput(
-            dataset_id="simpleqa",
-            purpose=DatasetPurpose.eval_messages_answer,
-            source=URIDataSource(
-                uri="huggingface://datasets/llamastack/simpleqa?split=train",
-            ),
-        ),
-        DatasetInput(
-            dataset_id="mmlu_cot",
-            purpose=DatasetPurpose.eval_messages_answer,
-            source=URIDataSource(
-                uri="huggingface://datasets/llamastack/mmlu_cot?split=test&name=all",
-            ),
-        ),
-        DatasetInput(
-            dataset_id="gpqa_cot",
-            purpose=DatasetPurpose.eval_messages_answer,
-            source=URIDataSource(
-                uri="huggingface://datasets/llamastack/gpqa_0shot_cot?split=test&name=gpqa_main",
-            ),
-        ),
-        DatasetInput(
-            dataset_id="math_500",
-            purpose=DatasetPurpose.eval_messages_answer,
-            source=URIDataSource(
-                uri="huggingface://datasets/llamastack/math_500?split=test",
-            ),
-        ),
-        DatasetInput(
-            dataset_id="bfcl",
-            purpose=DatasetPurpose.eval_messages_answer,
-            source=URIDataSource(
-                uri="huggingface://datasets/llamastack/bfcl_v3?split=train",
-            ),
-        ),
-        DatasetInput(
-            dataset_id="ifeval",
-            purpose=DatasetPurpose.eval_messages_answer,
-            source=URIDataSource(
-                uri="huggingface://datasets/llamastack/IfEval?split=train",
-            ),
-        ),
-        DatasetInput(
-            dataset_id="docvqa",
-            purpose=DatasetPurpose.eval_messages_answer,
-            source=URIDataSource(
-                uri="huggingface://datasets/llamastack/docvqa?split=val",
-            ),
-        ),
-    ]
-
-    # TODO(xiyan): fix this back as registerable resources
-    # default_benchmarks = [
-    #     BenchmarkInput(
-    #         benchmark_id="meta-reference-simpleqa",
-    #         dataset_id="simpleqa",
-    #         grader_ids=["llm-as-judge::405b-simpleqa"],
-    #     ),
-    #     BenchmarkInput(
-    #         benchmark_id="meta-reference-mmlu-cot",
-    #         dataset_id="mmlu_cot",
-    #         grader_ids=["basic::regex_parser_multiple_choice_answer"],
-    #     ),
-    #     BenchmarkInput(
-    #         benchmark_id="meta-reference-gpqa-cot",
-    #         dataset_id="gpqa_cot",
-    #         grader_ids=["basic::regex_parser_multiple_choice_answer"],
-    #     ),
-    #     BenchmarkInput(
-    #         benchmark_id="meta-reference-math-500",
-    #         dataset_id="math_500",
-    #         grader_ids=["basic::regex_parser_math_response"],
-    #     ),
-    #     BenchmarkInput(
-    #         benchmark_id="meta-reference-bfcl",
-    #         dataset_id="bfcl",
-    #         grader_ids=["basic::bfcl"],
-    #     ),
-    #     BenchmarkInput(
-    #         benchmark_id="meta-reference-ifeval",
-    #         dataset_id="ifeval",
-    #         grader_ids=["basic::ifeval"],
-    #     ),
-    #     BenchmarkInput(
-    #         benchmark_id="meta-reference-docvqa",
-    #         dataset_id="docvqa",
-    #         grader_ids=["basic::docvqa"],
-    #     ),
-    # ]
-
-    return DistributionTemplate(
-        name=name,
-        distro_type="self_hosted",
-        description="Distribution for running open benchmarks",
-        container_image=None,
-        template_path=None,
-        providers=providers,
-        available_models_by_provider=available_models,
-        run_configs={
-            "run.yaml": RunConfigSettings(
-                provider_overrides={
-                    "inference": inference_providers,
-                    "vector_io": vector_io_providers,
-                },
-                default_models=default_models,
-                default_tool_groups=default_tool_groups,
-                default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
-                default_datasets=default_datasets,
-            ),
-        },
-        run_config_env_vars={
-            "LLAMA_STACK_PORT": (
-                "8321",
-                "Port for the Llama Stack distribution server",
-            ),
-            "TOGETHER_API_KEY": (
-                "",
-                "Together API Key",
-            ),
-            "OPENAI_API_KEY": (
-                "",
-                "OpenAI API Key",
-            ),
-            "GEMINI_API_KEY": (
-                "",
-                "Gemini API Key",
-            ),
-            "ANTHROPIC_API_KEY": (
-                "",
-                "Anthropic API Key",
-            ),
-            "GROQ_API_KEY": (
-                "",
-                "Groq API Key",
-            ),
-        },
-    )
diff --git a/llama_stack/templates/open-benchmark/run.yaml b/llama_stack/templates/open-benchmark/run.yaml
deleted file mode 100644
index d9ca11a84..000000000
--- a/llama_stack/templates/open-benchmark/run.yaml
+++ /dev/null
@@ -1,190 +0,0 @@
-version: '2'
-image_name: open-benchmark
-apis:
-- agents
-- datasetio
-- inference
-- safety
-- telemetry
-- tool_runtime
-- vector_io
-providers:
-  inference:
-  - provider_id: openai
-    provider_type: remote::openai
-    config:
-      api_key: ${env.OPENAI_API_KEY:}
-  - provider_id: anthropic
-    provider_type: remote::anthropic
-    config:
-      api_key: ${env.ANTHROPIC_API_KEY:}
-  - provider_id: gemini
-    provider_type: remote::gemini
-    config:
-      api_key: ${env.GEMINI_API_KEY:}
-  - provider_id: groq
-    provider_type: remote::groq
-    config:
-      url: https://api.groq.com
-      api_key: ${env.GROQ_API_KEY:}
-  - provider_id: together
-    provider_type: remote::together
-    config:
-      url: https://api.together.xyz/v1
-      api_key: ${env.TOGETHER_API_KEY:}
-  vector_io:
-  - provider_id: sqlite-vec
-    provider_type: inline::sqlite-vec
-    config:
-      db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/sqlite_vec.db
-  - provider_id: ${env.ENABLE_CHROMADB+chromadb}
-    provider_type: remote::chromadb
-    config:
-      url: ${env.CHROMADB_URL:}
-  - provider_id: ${env.ENABLE_PGVECTOR+pgvector}
-    provider_type: remote::pgvector
-    config:
-      host: ${env.PGVECTOR_HOST:localhost}
-      port: ${env.PGVECTOR_PORT:5432}
-      db: ${env.PGVECTOR_DB:}
-      user: ${env.PGVECTOR_USER:}
-      password: ${env.PGVECTOR_PASSWORD:}
-  safety:
-  - provider_id: llama-guard
-    provider_type: inline::llama-guard
-    config:
-      excluded_categories: []
-  agents:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      persistence_store:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/agents_store.db
-  telemetry:
-  - provider_id: meta-reference
-    provider_type: inline::meta-reference
-    config:
-      sinks: ${env.TELEMETRY_SINKS:console,sqlite}
-      sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/open-benchmark/trace_store.db}
-  datasetio:
-  - provider_id: huggingface
-    provider_type: remote::huggingface
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/huggingface_datasetio.db
-  - provider_id: localfs
-    provider_type: inline::localfs
-    config:
-      kvstore:
-        type: sqlite
-        namespace: null
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/localfs_datasetio.db
-  tool_runtime:
-  - provider_id: brave-search
-    provider_type: remote::brave-search
-    config:
-      api_key: ${env.BRAVE_SEARCH_API_KEY:}
-      max_results: 3
-  - provider_id: tavily-search
-    provider_type: remote::tavily-search
-    config:
-      api_key: ${env.TAVILY_SEARCH_API_KEY:}
-      max_results: 3
-  - provider_id: code-interpreter
-    provider_type: inline::code-interpreter
-    config: {}
-  - provider_id: rag-runtime
-    provider_type: inline::rag-runtime
-    config: {}
-  - provider_id: model-context-protocol
-    provider_type: remote::model-context-protocol
-    config: {}
-metadata_store:
-  type: sqlite
-  db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/open-benchmark}/registry.db
-models:
-- metadata: {}
-  model_id: openai/gpt-4o
-  provider_id: openai
-  provider_model_id: openai/gpt-4o
-  model_type: llm
-- metadata: {}
-  model_id: anthropic/claude-3-5-sonnet-latest
-  provider_id: anthropic
-  provider_model_id: anthropic/claude-3-5-sonnet-latest
-  model_type: llm
-- metadata: {}
-  model_id: gemini/gemini-1.5-flash
-  provider_id: gemini
-  provider_model_id: gemini/gemini-1.5-flash
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.3-70B-Instruct
-  provider_id: groq
-  provider_model_id: groq/llama-3.3-70b-versatile
-  model_type: llm
-- metadata: {}
-  model_id: meta-llama/Llama-3.1-405B-Instruct
-  provider_id: together
-  provider_model_id: meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo
-  model_type: llm
-shields:
-- shield_id: meta-llama/Llama-Guard-3-8B
-vector_dbs: []
-datasets:
-- purpose: eval/messages-answer
-  source:
-    type: uri
-    uri: huggingface://datasets/llamastack/simpleqa?split=train
-  metadata: {}
-  dataset_id: simpleqa
-- purpose: eval/messages-answer
-  source:
-    type: uri
-    uri: huggingface://datasets/llamastack/mmlu_cot?split=test&name=all
-  metadata: {}
-  dataset_id: mmlu_cot
-- purpose: eval/messages-answer
-  source:
-    type: uri
-    uri: huggingface://datasets/llamastack/gpqa_0shot_cot?split=test&name=gpqa_main
-  metadata: {}
-  dataset_id: gpqa_cot
-- purpose: eval/messages-answer
-  source:
-    type: uri
-    uri: huggingface://datasets/llamastack/math_500?split=test
-  metadata: {}
-  dataset_id: math_500
-- purpose: eval/messages-answer
-  source:
-    type: uri
-    uri: huggingface://datasets/llamastack/bfcl_v3?split=train
-  metadata: {}
-  dataset_id: bfcl
-- purpose: eval/messages-answer
-  source:
-    type: uri
-    uri: huggingface://datasets/llamastack/IfEval?split=train
-  metadata: {}
-  dataset_id: ifeval
-- purpose: eval/messages-answer
-  source:
-    type: uri
-    uri: huggingface://datasets/llamastack/docvqa?split=val
-  metadata: {}
-  dataset_id: docvqa
-benchmarks: []
-tool_groups:
-- toolgroup_id: builtin::websearch
-  provider_id: tavily-search
-- toolgroup_id: builtin::rag
-  provider_id: rag-runtime
-- toolgroup_id: builtin::code_interpreter
-  provider_id: code-interpreter
-server:
-  port: 8321

From cbb53af7013e19b1aac59728db9e01e7f28ed4f0 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Wed, 26 Mar 2025 12:31:08 -0700
Subject: [PATCH 72/73] distro codegen

---
 llama_stack/templates/nvidia/build.yaml           | 2 ++
 llama_stack/templates/nvidia/run-with-safety.yaml | 8 ++++++++
 llama_stack/templates/nvidia/run.yaml             | 8 ++++++++
 3 files changed, 18 insertions(+)

diff --git a/llama_stack/templates/nvidia/build.yaml b/llama_stack/templates/nvidia/build.yaml
index 848b6cd45..f3ce1c50d 100644
--- a/llama_stack/templates/nvidia/build.yaml
+++ b/llama_stack/templates/nvidia/build.yaml
@@ -12,6 +12,8 @@ distribution_spec:
     - inline::meta-reference
     telemetry:
     - inline::meta-reference
+    post_training:
+    - remote::nvidia
     datasetio:
     - inline::localfs
     tool_runtime:
diff --git a/llama_stack/templates/nvidia/run-with-safety.yaml b/llama_stack/templates/nvidia/run-with-safety.yaml
index 25e48c33d..8143504b6 100644
--- a/llama_stack/templates/nvidia/run-with-safety.yaml
+++ b/llama_stack/templates/nvidia/run-with-safety.yaml
@@ -50,6 +50,14 @@ providers:
       service_name: "${env.OTEL_SERVICE_NAME:\u200B}"
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/nvidia/trace_store.db}
+  post_training:
+  - provider_id: nvidia
+    provider_type: remote::nvidia
+    config:
+      api_key: ${env.NVIDIA_API_KEY:}
+      dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:default}
+      project_id: ${env.NVIDIA_PROJECT_ID:test-project}
+      customizer_url: ${env.NVIDIA_CUSTOMIZER_URL:http://nemo.test}
   datasetio:
   - provider_id: localfs
     provider_type: inline::localfs
diff --git a/llama_stack/templates/nvidia/run.yaml b/llama_stack/templates/nvidia/run.yaml
index 696bc9af4..526ae9501 100644
--- a/llama_stack/templates/nvidia/run.yaml
+++ b/llama_stack/templates/nvidia/run.yaml
@@ -45,6 +45,14 @@ providers:
       service_name: "${env.OTEL_SERVICE_NAME:\u200B}"
       sinks: ${env.TELEMETRY_SINKS:console,sqlite}
       sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/nvidia/trace_store.db}
+  post_training:
+  - provider_id: nvidia
+    provider_type: remote::nvidia
+    config:
+      api_key: ${env.NVIDIA_API_KEY:}
+      dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:default}
+      project_id: ${env.NVIDIA_PROJECT_ID:test-project}
+      customizer_url: ${env.NVIDIA_CUSTOMIZER_URL:http://nemo.test}
   datasetio:
   - provider_id: localfs
     provider_type: inline::localfs

From 7854885e5a2c4f284131ae7d353ac37df569a819 Mon Sep 17 00:00:00 2001
From: Xi Yan 
Date: Wed, 26 Mar 2025 12:32:24 -0700
Subject: [PATCH 73/73] openapi

---
 docs/_static/llama-stack-spec.html | 72 +++++++++++++++++++-----------
 docs/_static/llama-stack-spec.yaml | 54 +++++++++++++---------
 2 files changed, 80 insertions(+), 46 deletions(-)

diff --git a/docs/_static/llama-stack-spec.html b/docs/_static/llama-stack-spec.html
index 74cfd7e12..8c98707e0 100644
--- a/docs/_static/llama-stack-spec.html
+++ b/docs/_static/llama-stack-spec.html
@@ -6502,7 +6502,52 @@
                 "title": "FileResponse",
                 "description": "Response representing a file entry."
             },
-            "Model": {
+            "EqualityGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "equality",
+                        "default": "equality"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "EqualityGrader"
+            },
+            "FactualityGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "factuality",
+                        "default": "factuality"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "FactualityGrader"
+            },
+            "FaithfulnessGrader": {
+                "type": "object",
+                "properties": {
+                    "type": {
+                        "type": "string",
+                        "const": "faithfulness",
+                        "default": "faithfulness"
+                    }
+                },
+                "additionalProperties": false,
+                "required": [
+                    "type"
+                ],
+                "title": "FaithfulnessGrader"
+            },
+            "Grader": {
                 "type": "object",
                 "properties": {
                     "identifier": {
@@ -7854,31 +7899,6 @@
                 "title": "IterrowsResponse",
                 "description": "A paginated list of rows from a dataset."
             },
-            "Job": {
-                "type": "object",
-                "properties": {
-                    "job_id": {
-                        "type": "string"
-                    },
-                    "status": {
-                        "type": "string",
-                        "enum": [
-                            "completed",
-                            "in_progress",
-                            "failed",
-                            "scheduled",
-                            "cancelled"
-                        ],
-                        "title": "JobStatus"
-                    }
-                },
-                "additionalProperties": false,
-                "required": [
-                    "job_id",
-                    "status"
-                ],
-                "title": "Job"
-            },
             "ListAgentSessionsResponse": {
                 "type": "object",
                 "properties": {
diff --git a/docs/_static/llama-stack-spec.yaml b/docs/_static/llama-stack-spec.yaml
index c9f3c0cec..d00571a09 100644
--- a/docs/_static/llama-stack-spec.yaml
+++ b/docs/_static/llama-stack-spec.yaml
@@ -4563,7 +4563,40 @@ components:
         - created_at
       title: FileResponse
       description: Response representing a file entry.
-    Model:
+    EqualityGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: equality
+          default: equality
+      additionalProperties: false
+      required:
+        - type
+      title: EqualityGrader
+    FactualityGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: factuality
+          default: factuality
+      additionalProperties: false
+      required:
+        - type
+      title: FactualityGrader
+    FaithfulnessGrader:
+      type: object
+      properties:
+        type:
+          type: string
+          const: faithfulness
+          default: faithfulness
+      additionalProperties: false
+      required:
+        - type
+      title: FaithfulnessGrader
+    Grader:
       type: object
       properties:
         identifier:
@@ -5433,25 +5466,6 @@ components:
         - data
       title: IterrowsResponse
       description: A paginated list of rows from a dataset.
-    Job:
-      type: object
-      properties:
-        job_id:
-          type: string
-        status:
-          type: string
-          enum:
-            - completed
-            - in_progress
-            - failed
-            - scheduled
-            - cancelled
-          title: JobStatus
-      additionalProperties: false
-      required:
-        - job_id
-        - status
-      title: Job
     ListAgentSessionsResponse:
       type: object
       properties: