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

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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@ -27,7 +27,6 @@ from llama_stack.apis.tools import (
RAGDocument,
RAGQueryConfig,
RAGQueryResult,
RAGToolRuntime,
ToolDef,
ToolGroup,
ToolInvocationResult,
@ -91,7 +90,7 @@ async def raw_data_from_doc(doc: RAGDocument) -> tuple[bytes, str]:
return content_str.encode("utf-8"), "text/plain"
class MemoryToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime, RAGToolRuntime):
class MemoryToolRuntimeImpl(ToolGroupsProtocolPrivate, ToolRuntime):
def __init__(
self,
config: RagToolRuntimeConfig,