mirror of https://github.com/microsoft/autogen.git
Add langchain tool adapter in autogen-ext (#570)
* add langhcain tool adapter * remove langchain package * fix type errors * test type fixes * fix imports * install extras in CI * improve typing and use to_thread * pin min langchain version * install all extras in ci test * update to langchain 0.3.1 * install extras in CI * ignore pyright errors * add missing uv sync extra reqs --------- Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com> Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com> Co-authored-by: Ryan Sweet <rysweet@microsoft.com> Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
This commit is contained in:
Leonardo Pinheiro
Jack Gerrits
parent
18d52f606a
commit
6cfa29b018
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@ -17,7 +17,7 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- run: uv sync --locked
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- run: uv sync --locked --all-extras
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working-directory: ./python
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- name: Run task
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run: |
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@ -33,7 +33,7 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- run: uv sync --locked
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- run: uv sync --locked --all-extras
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working-directory: ./python
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- name: Run task
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run: |
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@ -59,7 +59,7 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- run: uv sync --locked
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- run: uv sync --locked --all-extras
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working-directory: ./python
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- name: Run task
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run: |
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@ -85,14 +85,13 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- run: uv sync --locked
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- run: uv sync --locked --all-extras
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working-directory: ./python
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- name: Run task
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run: |
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source ${{ github.workspace }}/python/.venv/bin/activate
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poe --directory ${{ matrix.package }} pyright
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working-directory: ./python
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test:
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runs-on: ubuntu-latest
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strategy:
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@ -110,7 +109,10 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- run: uv sync --locked
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- name: Run uv sync
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run: |
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uv sync --locked --all-extras
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working-directory: ./python
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- name: Run task
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run: |
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@ -129,7 +131,7 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- run: uv sync --locked
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- run: uv sync --locked --all-extras
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working-directory: ./python
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- name: Run task
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run: |
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@ -145,7 +147,7 @@ jobs:
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- run: uv sync --locked
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- run: uv sync --locked --all-extras
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working-directory: ./python
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- name: Run task
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run: |
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@ -34,7 +34,7 @@ jobs:
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with:
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python-version: '3.11'
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- run: |
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uv sync --locked
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uv sync --locked --all-extras
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source .venv/bin/activate
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poe --directory ./packages/autogen-core docs-build
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mkdir -p docs-staging/autogen/dev/
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@ -13,10 +13,14 @@ classifiers = [
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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]
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dependencies = ["autogen-core",
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dependencies = [
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"autogen-core",
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]
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[project.optional-dependencies]
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langchain = ["langchain >= 0.3.1"]
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[tool.hatch.build.targets.wheel]
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packages = ["src/autogen_ext"]
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@ -0,0 +1,3 @@
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from ._langchain_adapter import LangChainToolAdapter
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__all__ = ["LangChainToolAdapter"]
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@ -0,0 +1,75 @@
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import asyncio
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import inspect
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from typing import Any, Callable, Dict, Tuple, Type, cast
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from autogen_core.base import CancellationToken
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from autogen_core.components.tools import BaseTool
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from pydantic import BaseModel, Field, create_model
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from pydantic.fields import FieldInfo
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from langchain.tools import Tool as LangChainTool
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FieldDefinition = Tuple[Type[Any], FieldInfo]
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FieldsDict = Dict[str, FieldDefinition]
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class LangChainToolAdapter(BaseTool[BaseModel, Any]):
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langchain_tool: LangChainTool
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_callable: Callable[..., Any]
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def __init__(self, langchain_tool: LangChainTool):
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self.langchain_tool = langchain_tool
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# Extract name and description
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name = langchain_tool.name
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description = langchain_tool.description or ""
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# Determine the callable method
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if hasattr(langchain_tool, "func") and callable(langchain_tool.func):
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assert langchain_tool.func is not None
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self._callable = langchain_tool.func
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elif hasattr(langchain_tool, "_run") and callable(langchain_tool._run): # pyright: ignore
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self._callable = langchain_tool._run # type: ignore
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else:
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raise AttributeError(
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f"The provided LangChain tool '{name}' does not have a callable 'func' or '_run' method."
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)
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# Determine args_type
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if langchain_tool.args_schema: # pyright: ignore
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args_type = langchain_tool.args_schema # pyright: ignore
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else:
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# Infer args_type from the callable's signature
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sig = inspect.signature(cast(Callable[..., Any], self._callable))
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fields = {
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k: (v.annotation, Field(...))
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for k, v in sig.parameters.items()
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if k != "self" and v.kind not in (inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD)
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}
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args_type = create_model(f"{name}Args", **fields) # type: ignore
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# Note: type ignore is used due to a LangChain typing limitation
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# Ensure args_type is a subclass of BaseModel
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if not issubclass(args_type, BaseModel):
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raise ValueError(f"Failed to create a valid Pydantic v2 model for {name}")
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# Assume return_type as Any if not specified
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return_type: Type[Any] = object
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super().__init__(args_type, return_type, name, description)
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async def run(self, args: BaseModel, cancellation_token: CancellationToken) -> Any:
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# Prepare arguments
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kwargs = args.model_dump()
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# Determine if the callable is asynchronous
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if inspect.iscoroutinefunction(self._callable):
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result = await self._callable(**kwargs)
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else:
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# Run in a thread to avoid blocking the event loop
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result = await asyncio.to_thread(self._call_sync, kwargs)
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return result
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def _call_sync(self, kwargs: Dict[str, Any]) -> Any:
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return self._callable(**kwargs)
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@ -0,0 +1,97 @@
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from typing import Optional, Type
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import pytest
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from autogen_core.base import CancellationToken
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from autogen_ext.tools.langchain import LangChainToolAdapter # type: ignore
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from langchain.tools import BaseTool as LangChainTool # type: ignore
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from langchain.tools import tool # pyright: ignore
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from langchain_core.callbacks.manager import AsyncCallbackManagerForToolRun, CallbackManagerForToolRun
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from pydantic import BaseModel, Field
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@tool # type: ignore
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def add(a: int, b: int) -> int:
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"""Add two numbers"""
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return a + b
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class CalculatorInput(BaseModel):
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a: int = Field(description="first number")
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b: int = Field(description="second number")
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class CustomCalculatorTool(LangChainTool):
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name: str = "Calculator"
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description: str = "useful for when you need to answer questions about math"
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args_schema: Type[BaseModel] = CalculatorInput
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return_direct: bool = True
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def _run(self, a: int, b: int, run_manager: Optional[CallbackManagerForToolRun] = None) -> int:
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"""Use the tool."""
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return a * b
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async def _arun(
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self,
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a: int,
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b: int,
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> int:
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"""Use the tool asynchronously."""
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return self._run(a, b, run_manager=run_manager.get_sync() if run_manager else None)
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@pytest.mark.asyncio
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async def test_langchain_tool_adapter() -> None:
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# Create a LangChain tool
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langchain_tool = add # type: ignore
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# Create an adapter
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adapter = LangChainToolAdapter(langchain_tool) # pyright: ignore
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# Test schema generation
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schema = adapter.schema
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assert schema["name"] == "add"
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assert "description" in schema
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assert schema["description"] == "Add two numbers"
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assert "parameters" in schema
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assert schema["parameters"]["type"] == "object"
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assert "properties" in schema["parameters"]
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assert "a" in schema["parameters"]["properties"]
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assert "b" in schema["parameters"]["properties"]
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assert schema["parameters"]["properties"]["a"]["type"] == "integer"
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assert schema["parameters"]["properties"]["b"]["type"] == "integer"
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assert "required" in schema["parameters"]
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assert set(schema["parameters"]["required"]) == {"a", "b"}
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assert len(schema["parameters"]["properties"]) == 2
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# Test run method
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result = await adapter.run_json({"a": 2, "b": 3}, CancellationToken())
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assert result == 5
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# Test that the adapter's run method can be called multiple times
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result = await adapter.run_json({"a": 5, "b": 7}, CancellationToken())
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assert result == 12
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# Test CustomCalculatorTool
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custom_langchain_tool = CustomCalculatorTool()
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custom_adapter = LangChainToolAdapter(custom_langchain_tool) # pyright: ignore
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# Test schema generation for CustomCalculatorTool
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custom_schema = custom_adapter.schema
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assert custom_schema["name"] == "Calculator"
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assert custom_schema["description"] == "useful for when you need to answer questions about math" # type: ignore
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assert "parameters" in custom_schema
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assert custom_schema["parameters"]["type"] == "object"
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assert "properties" in custom_schema["parameters"]
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assert "a" in custom_schema["parameters"]["properties"]
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assert "b" in custom_schema["parameters"]["properties"]
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assert custom_schema["parameters"]["properties"]["a"]["type"] == "integer"
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assert custom_schema["parameters"]["properties"]["b"]["type"] == "integer"
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assert "required" in custom_schema["parameters"]
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assert set(custom_schema["parameters"]["required"]) == {"a", "b"}
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# Test run method for CustomCalculatorTool
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custom_result = await custom_adapter.run_json({"a": 3, "b": 4}, CancellationToken())
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assert custom_result == 12
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156
python/uv.lock
156
python/uv.lock
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@ -467,8 +467,16 @@ dependencies = [
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{ name = "autogen-core" },
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]
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[package.optional-dependencies]
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langchain = [
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{ name = "langchain" },
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]
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[package.metadata]
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requires-dist = [{ name = "autogen-core", editable = "packages/autogen-core" }]
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requires-dist = [
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{ name = "autogen-core", editable = "packages/autogen-core" },
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{ name = "langchain", marker = "extra == 'langchain'", specifier = ">=0.3.1" },
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]
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[[package]]
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name = "autogenstudio"
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@ -1874,9 +1882,31 @@ wheels = [
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|||
{ url = "https://files.pythonhosted.org/packages/c9/fb/108ecd1fe961941959ad0ee4e12ee7b8b1477247f30b1fdfd83ceaf017f0/jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409", size = 28965 },
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||||
]
|
||||
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[[package]]
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name = "langchain"
|
||||
version = "0.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
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{ name = "aiohttp" },
|
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{ name = "async-timeout", marker = "python_full_version < '3.11'" },
|
||||
{ name = "langchain-core" },
|
||||
{ name = "langchain-text-splitters" },
|
||||
{ name = "langsmith" },
|
||||
{ name = "numpy" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "pyyaml" },
|
||||
{ name = "requests" },
|
||||
{ name = "sqlalchemy" },
|
||||
{ name = "tenacity" },
|
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]
|
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wheels = [
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|
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|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "0.2.36"
|
||||
version = "0.3.6"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
|
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@ -1887,53 +1917,66 @@ dependencies = [
|
|||
{ name = "tenacity" },
|
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{ name = "typing-extensions" },
|
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]
|
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|
||||
[[package]]
|
||||
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|
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|
||||
version = "0.2.0"
|
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source = { registry = "https://pypi.org/simple" }
|
||||
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|
||||
{ name = "langchain-core" },
|
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{ name = "openai" },
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[[package]]
|
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name = "langchain-text-splitters"
|
||||
version = "0.3.0"
|
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source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
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{ name = "langchain-core" },
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]
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]
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|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
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[[package]]
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||||
|
|
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|||
Loading…
Reference in New Issue