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https://github.com/meta-llama/llama-stack.git
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3b83032555
This PR updates model registration and lookup behavior to be slightly more general / flexible. See https://github.com/meta-llama/llama-stack/issues/2843 for more details. Note that this change is backwards compatible given the design of the `lookup_model()` method. ## Test Plan Added unit tests
91 lines
3.1 KiB
Python
91 lines
3.1 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 typing import Any
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from llama_stack.apis.common.content_types import (
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URL,
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InterleavedContent,
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)
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from llama_stack.apis.tools import (
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ListToolsResponse,
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RAGDocument,
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RAGQueryConfig,
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RAGQueryResult,
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RAGToolRuntime,
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ToolRuntime,
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)
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from llama_stack.log import get_logger
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from ..routing_tables.toolgroups import ToolGroupsRoutingTable
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logger = get_logger(name=__name__, category="core")
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class ToolRuntimeRouter(ToolRuntime):
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class RagToolImpl(RAGToolRuntime):
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def __init__(
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self,
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routing_table: ToolGroupsRoutingTable,
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) -> None:
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logger.debug("Initializing ToolRuntimeRouter.RagToolImpl")
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self.routing_table = routing_table
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async def query(
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self,
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content: InterleavedContent,
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vector_db_ids: list[str],
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query_config: RAGQueryConfig | None = None,
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) -> RAGQueryResult:
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logger.debug(f"ToolRuntimeRouter.RagToolImpl.query: {vector_db_ids}")
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provider = await self.routing_table.get_provider_impl("knowledge_search")
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return await provider.query(content, vector_db_ids, query_config)
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async def insert(
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self,
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documents: list[RAGDocument],
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vector_db_id: str,
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chunk_size_in_tokens: int = 512,
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) -> None:
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logger.debug(
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f"ToolRuntimeRouter.RagToolImpl.insert: {vector_db_id}, {len(documents)} documents, chunk_size={chunk_size_in_tokens}"
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)
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provider = await self.routing_table.get_provider_impl("insert_into_memory")
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return await provider.insert(documents, vector_db_id, chunk_size_in_tokens)
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def __init__(
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self,
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routing_table: ToolGroupsRoutingTable,
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) -> None:
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logger.debug("Initializing ToolRuntimeRouter")
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self.routing_table = routing_table
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# HACK ALERT this should be in sync with "get_all_api_endpoints()"
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self.rag_tool = self.RagToolImpl(routing_table)
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for method in ("query", "insert"):
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setattr(self, f"rag_tool.{method}", getattr(self.rag_tool, method))
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async def initialize(self) -> None:
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logger.debug("ToolRuntimeRouter.initialize")
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pass
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async def shutdown(self) -> None:
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logger.debug("ToolRuntimeRouter.shutdown")
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pass
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async def invoke_tool(self, tool_name: str, kwargs: dict[str, Any]) -> Any:
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logger.debug(f"ToolRuntimeRouter.invoke_tool: {tool_name}")
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provider = await self.routing_table.get_provider_impl(tool_name)
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return await provider.invoke_tool(
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tool_name=tool_name,
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kwargs=kwargs,
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)
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async def list_runtime_tools(
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self, tool_group_id: str | None = None, mcp_endpoint: URL | None = None
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) -> ListToolsResponse:
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logger.debug(f"ToolRuntimeRouter.list_runtime_tools: {tool_group_id}")
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return await self.routing_table.list_tools(tool_group_id)
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