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chore(api)!: remove tool_runtime.rag_tool from the API surface (#4067)

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RAG aka file search is implemented via the Responses API by specifying
the file-search tool. The backend implementation remains unchanged. This
PR merely removes the directly exposed API surface which allowed users
to directly perform searches from the client.

This facility is now available via the `client.vector_store.search()`
OpenAI compatible API.
This commit is contained in:
Ashwin Bharambe 2025-11-04 14:50:54 -08:00 • committed by GitHub
parent a8a8aa56c0
commit 0c49a53c97
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10 changed files with 4 additions and 1117 deletions
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3
src/llama_stack/core/stack.py
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@ -31,7 +31,7 @@ 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.tools import RAGToolRuntime, ToolGroups, ToolRuntime
from llama_stack.apis.tools import ToolGroups, ToolRuntime
from llama_stack.apis.vector_io import VectorIO
from llama_stack.core.conversations.conversations import ConversationServiceConfig, ConversationServiceImpl
from llama_stack.core.datatypes import Provider, SafetyConfig, StackRunConfig, VectorStoresConfig
@ -78,7 +78,6 @@ class LlamaStack(
Inspect,
ToolGroups,
ToolRuntime,
RAGToolRuntime,
Files,
Prompts,
Conversations,