mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-23 00:27:26 +00:00
chore(cleanup)!: remove tool_runtime.rag_tool (#3871)
Kill the `builtin::rag` tool group completely since it is no longer targeted. We use the Responses implementation for knowledge_search which uses the `openai_vector_stores` pathway. --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
This commit is contained in:
Ashwin Bharambe
GitHub
parent
5aaf1a8bca
commit
0e96279bee
55 changed files with 17 additions and 3114 deletions
|
|
@ -2039,69 +2039,6 @@ paths:
|
|||
schema:
|
||||
$ref: '#/components/schemas/URL'
|
||||
deprecated: false
|
||||
/v1/tool-runtime/rag-tool/insert:
|
||||
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:
|
||||
- ToolRuntime
|
||||
summary: >-
|
||||
Index documents so they can be used by the RAG system.
|
||||
description: >-
|
||||
Index documents so they can be used by the RAG system.
|
||||
parameters: []
|
||||
requestBody:
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/InsertRequest'
|
||||
required: true
|
||||
deprecated: false
|
||||
/v1/tool-runtime/rag-tool/query:
|
||||
post:
|
||||
responses:
|
||||
'200':
|
||||
description: >-
|
||||
RAGQueryResult containing the retrieved content and metadata
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/RAGQueryResult'
|
||||
'400':
|
||||
$ref: '#/components/responses/BadRequest400'
|
||||
'429':
|
||||
$ref: >-
|
||||
#/components/responses/TooManyRequests429
|
||||
'500':
|
||||
$ref: >-
|
||||
#/components/responses/InternalServerError500
|
||||
default:
|
||||
$ref: '#/components/responses/DefaultError'
|
||||
tags:
|
||||
- ToolRuntime
|
||||
summary: >-
|
||||
Query the RAG system for context; typically invoked by the agent.
|
||||
description: >-
|
||||
Query the RAG system for context; typically invoked by the agent.
|
||||
parameters: []
|
||||
requestBody:
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/QueryRequest'
|
||||
required: true
|
||||
deprecated: false
|
||||
/v1/toolgroups:
|
||||
get:
|
||||
responses:
|
||||
|
|
@ -9921,274 +9858,6 @@ components:
|
|||
title: ListToolDefsResponse
|
||||
description: >-
|
||||
Response containing a list of tool definitions.
|
||||
RAGDocument:
|
||||
type: object
|
||||
properties:
|
||||
document_id:
|
||||
type: string
|
||||
description: The unique identifier for the document.
|
||||
content:
|
||||
oneOf:
|
||||
- type: string
|
||||
- $ref: '#/components/schemas/InterleavedContentItem'
|
||||
- type: array
|
||||
items:
|
||||
$ref: '#/components/schemas/InterleavedContentItem'
|
||||
- $ref: '#/components/schemas/URL'
|
||||
description: The content of the document.
|
||||
mime_type:
|
||||
type: string
|
||||
description: The MIME type of the document.
|
||||
metadata:
|
||||
type: object
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
description: Additional metadata for the document.
|
||||
additionalProperties: false
|
||||
required:
|
||||
- document_id
|
||||
- content
|
||||
- metadata
|
||||
title: RAGDocument
|
||||
description: >-
|
||||
A document to be used for document ingestion in the RAG Tool.
|
||||
InsertRequest:
|
||||
type: object
|
||||
properties:
|
||||
documents:
|
||||
type: array
|
||||
items:
|
||||
$ref: '#/components/schemas/RAGDocument'
|
||||
description: >-
|
||||
List of documents to index in the RAG system
|
||||
vector_db_id:
|
||||
type: string
|
||||
description: >-
|
||||
ID of the vector database to store the document embeddings
|
||||
chunk_size_in_tokens:
|
||||
type: integer
|
||||
description: >-
|
||||
(Optional) Size in tokens for document chunking during indexing
|
||||
additionalProperties: false
|
||||
required:
|
||||
- documents
|
||||
- vector_db_id
|
||||
- chunk_size_in_tokens
|
||||
title: InsertRequest
|
||||
DefaultRAGQueryGeneratorConfig:
|
||||
type: object
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
const: default
|
||||
default: default
|
||||
description: >-
|
||||
Type of query generator, always 'default'
|
||||
separator:
|
||||
type: string
|
||||
default: ' '
|
||||
description: >-
|
||||
String separator used to join query terms
|
||||
additionalProperties: false
|
||||
required:
|
||||
- type
|
||||
- separator
|
||||
title: DefaultRAGQueryGeneratorConfig
|
||||
description: >-
|
||||
Configuration for the default RAG query generator.
|
||||
LLMRAGQueryGeneratorConfig:
|
||||
type: object
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
const: llm
|
||||
default: llm
|
||||
description: Type of query generator, always 'llm'
|
||||
model:
|
||||
type: string
|
||||
description: >-
|
||||
Name of the language model to use for query generation
|
||||
template:
|
||||
type: string
|
||||
description: >-
|
||||
Template string for formatting the query generation prompt
|
||||
additionalProperties: false
|
||||
required:
|
||||
- type
|
||||
- model
|
||||
- template
|
||||
title: LLMRAGQueryGeneratorConfig
|
||||
description: >-
|
||||
Configuration for the LLM-based RAG query generator.
|
||||
RAGQueryConfig:
|
||||
type: object
|
||||
properties:
|
||||
query_generator_config:
|
||||
oneOf:
|
||||
- $ref: '#/components/schemas/DefaultRAGQueryGeneratorConfig'
|
||||
- $ref: '#/components/schemas/LLMRAGQueryGeneratorConfig'
|
||||
discriminator:
|
||||
propertyName: type
|
||||
mapping:
|
||||
default: '#/components/schemas/DefaultRAGQueryGeneratorConfig'
|
||||
llm: '#/components/schemas/LLMRAGQueryGeneratorConfig'
|
||||
description: Configuration for the query generator.
|
||||
max_tokens_in_context:
|
||||
type: integer
|
||||
default: 4096
|
||||
description: Maximum number of tokens in the context.
|
||||
max_chunks:
|
||||
type: integer
|
||||
default: 5
|
||||
description: Maximum number of chunks to retrieve.
|
||||
chunk_template:
|
||||
type: string
|
||||
default: >
|
||||
Result {index}
|
||||
|
||||
Content: {chunk.content}
|
||||
|
||||
Metadata: {metadata}
|
||||
description: >-
|
||||
Template for formatting each retrieved chunk in the context. Available
|
||||
placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk
|
||||
content string), {metadata} (chunk metadata dict). Default: "Result {index}\nContent:
|
||||
{chunk.content}\nMetadata: {metadata}\n"
|
||||
mode:
|
||||
$ref: '#/components/schemas/RAGSearchMode'
|
||||
default: vector
|
||||
description: >-
|
||||
Search mode for retrieval—either "vector", "keyword", or "hybrid". Default
|
||||
"vector".
|
||||
ranker:
|
||||
$ref: '#/components/schemas/Ranker'
|
||||
description: >-
|
||||
Configuration for the ranker to use in hybrid search. Defaults to RRF
|
||||
ranker.
|
||||
additionalProperties: false
|
||||
required:
|
||||
- query_generator_config
|
||||
- max_tokens_in_context
|
||||
- max_chunks
|
||||
- chunk_template
|
||||
title: RAGQueryConfig
|
||||
description: >-
|
||||
Configuration for the RAG query generation.
|
||||
RAGSearchMode:
|
||||
type: string
|
||||
enum:
|
||||
- vector
|
||||
- keyword
|
||||
- hybrid
|
||||
title: RAGSearchMode
|
||||
description: >-
|
||||
Search modes for RAG query retrieval: - VECTOR: Uses vector similarity search
|
||||
for semantic matching - KEYWORD: Uses keyword-based search for exact matching
|
||||
- HYBRID: Combines both vector and keyword search for better results
|
||||
RRFRanker:
|
||||
type: object
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
const: rrf
|
||||
default: rrf
|
||||
description: The type of ranker, always "rrf"
|
||||
impact_factor:
|
||||
type: number
|
||||
default: 60.0
|
||||
description: >-
|
||||
The impact factor for RRF scoring. Higher values give more weight to higher-ranked
|
||||
results. Must be greater than 0
|
||||
additionalProperties: false
|
||||
required:
|
||||
- type
|
||||
- impact_factor
|
||||
title: RRFRanker
|
||||
description: >-
|
||||
Reciprocal Rank Fusion (RRF) ranker configuration.
|
||||
Ranker:
|
||||
oneOf:
|
||||
- $ref: '#/components/schemas/RRFRanker'
|
||||
- $ref: '#/components/schemas/WeightedRanker'
|
||||
discriminator:
|
||||
propertyName: type
|
||||
mapping:
|
||||
rrf: '#/components/schemas/RRFRanker'
|
||||
weighted: '#/components/schemas/WeightedRanker'
|
||||
WeightedRanker:
|
||||
type: object
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
const: weighted
|
||||
default: weighted
|
||||
description: The type of ranker, always "weighted"
|
||||
alpha:
|
||||
type: number
|
||||
default: 0.5
|
||||
description: >-
|
||||
Weight factor between 0 and 1. 0 means only use keyword scores, 1 means
|
||||
only use vector scores, values in between blend both scores.
|
||||
additionalProperties: false
|
||||
required:
|
||||
- type
|
||||
- alpha
|
||||
title: WeightedRanker
|
||||
description: >-
|
||||
Weighted ranker configuration that combines vector and keyword scores.
|
||||
QueryRequest:
|
||||
type: object
|
||||
properties:
|
||||
content:
|
||||
$ref: '#/components/schemas/InterleavedContent'
|
||||
description: >-
|
||||
The query content to search for in the indexed documents
|
||||
vector_db_ids:
|
||||
type: array
|
||||
items:
|
||||
type: string
|
||||
description: >-
|
||||
List of vector database IDs to search within
|
||||
query_config:
|
||||
$ref: '#/components/schemas/RAGQueryConfig'
|
||||
description: >-
|
||||
(Optional) Configuration parameters for the query operation
|
||||
additionalProperties: false
|
||||
required:
|
||||
- content
|
||||
- vector_db_ids
|
||||
title: QueryRequest
|
||||
RAGQueryResult:
|
||||
type: object
|
||||
properties:
|
||||
content:
|
||||
$ref: '#/components/schemas/InterleavedContent'
|
||||
description: >-
|
||||
(Optional) The retrieved content from the query
|
||||
metadata:
|
||||
type: object
|
||||
additionalProperties:
|
||||
oneOf:
|
||||
- type: 'null'
|
||||
- type: boolean
|
||||
- type: number
|
||||
- type: string
|
||||
- type: array
|
||||
- type: object
|
||||
description: >-
|
||||
Additional metadata about the query result
|
||||
additionalProperties: false
|
||||
required:
|
||||
- metadata
|
||||
title: RAGQueryResult
|
||||
description: >-
|
||||
Result of a RAG query containing retrieved content and metadata.
|
||||
ToolGroup:
|
||||
type: object
|
||||
properties:
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue