forked from phoenix-oss/llama-stack-mirror
1a529705da
# What does this PR do? Mainly tried to cover the entire llama_stack/apis directory, we only have one left. Some excludes were just noop. Signed-off-by: Sébastien Han <seb@redhat.com>
108 lines
2.8 KiB
Python
108 lines
2.8 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from enum import Enum
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from typing import Any, Literal, Protocol, runtime_checkable
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from pydantic import BaseModel, ConfigDict, Field
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from llama_stack.apis.resource import Resource, ResourceType
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from llama_stack.providers.utils.telemetry.trace_protocol import trace_protocol
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from llama_stack.schema_utils import json_schema_type, webmethod
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class CommonModelFields(BaseModel):
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metadata: dict[str, Any] = Field(
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default_factory=dict,
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description="Any additional metadata for this model",
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)
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@json_schema_type
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class ModelType(str, Enum):
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llm = "llm"
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embedding = "embedding"
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@json_schema_type
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class Model(CommonModelFields, Resource):
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type: Literal[ResourceType.model] = ResourceType.model
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@property
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def model_id(self) -> str:
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return self.identifier
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@property
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def provider_model_id(self) -> str | None:
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return self.provider_resource_id
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model_config = ConfigDict(protected_namespaces=())
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model_type: ModelType = Field(default=ModelType.llm)
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class ModelInput(CommonModelFields):
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model_id: str
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provider_id: str | None = None
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provider_model_id: str | None = None
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model_type: ModelType | None = ModelType.llm
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model_config = ConfigDict(protected_namespaces=())
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class ListModelsResponse(BaseModel):
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data: list[Model]
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@json_schema_type
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class OpenAIModel(BaseModel):
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"""A model from OpenAI.
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:id: The ID of the model
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:object: The object type, which will be "model"
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:created: The Unix timestamp in seconds when the model was created
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:owned_by: The owner of the model
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"""
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id: str
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object: Literal["model"] = "model"
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created: int
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owned_by: str
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class OpenAIListModelsResponse(BaseModel):
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data: list[OpenAIModel]
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@runtime_checkable
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@trace_protocol
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class Models(Protocol):
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@webmethod(route="/models", method="GET")
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async def list_models(self) -> ListModelsResponse: ...
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@webmethod(route="/openai/v1/models", method="GET")
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async def openai_list_models(self) -> OpenAIListModelsResponse: ...
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@webmethod(route="/models/{model_id:path}", method="GET")
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async def get_model(
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self,
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model_id: str,
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) -> Model: ...
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@webmethod(route="/models", method="POST")
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async def register_model(
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self,
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model_id: str,
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provider_model_id: str | None = None,
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provider_id: str | None = None,
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metadata: dict[str, Any] | None = None,
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model_type: ModelType | None = None,
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) -> Model: ...
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@webmethod(route="/models/{model_id:path}", method="DELETE")
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async def unregister_model(
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self,
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model_id: str,
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) -> None: ...
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