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deer-flow/backend/packages/harness/deerflow/tools/sync.py
T

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3.2 KiB
Python

"""Utilities for invoking async tools from synchronous agent paths."""
import asyncio
import atexit
import concurrent.futures
import contextvars
import functools
import logging
from collections.abc import Callable
from typing import Any, get_type_hints
from langchain_core.runnables import RunnableConfig
logger = logging.getLogger(__name__)
# Shared thread pool for sync tool invocation in async environments.
_SYNC_TOOL_EXECUTOR = concurrent.futures.ThreadPoolExecutor(max_workers=10, thread_name_prefix="tool-sync")
atexit.register(lambda: _SYNC_TOOL_EXECUTOR.shutdown(wait=False))
def _get_runnable_config_param(func: Callable[..., Any]) -> str | None:
"""Return the coroutine parameter that expects LangChain RunnableConfig."""
if isinstance(func, functools.partial):
func = func.func
try:
type_hints = get_type_hints(func)
except Exception:
return None
for name, type_ in type_hints.items():
if type_ is RunnableConfig:
return name
return None
def make_sync_tool_wrapper(coro: Callable[..., Any], tool_name: str) -> Callable[..., Any]:
"""Build a synchronous wrapper for an asynchronous tool coroutine.
Args:
coro: Async callable backing a LangChain tool.
tool_name: Tool name used in error logs.
Returns:
A sync callable suitable for ``BaseTool.func``.
Notes:
If ``coro`` declares a ``RunnableConfig`` parameter, this wrapper
exposes ``config: RunnableConfig`` so LangChain can inject runtime
config and then forwards it to the coroutine's detected config
parameter. This covers DeerFlow's current config-sensitive tools, such
as ``invoke_acp_agent``.
This wrapper intentionally does not synthesize a dynamic function
signature. A future async tool with a normal user-facing argument named
``config`` and a separate ``RunnableConfig`` parameter named something
else, such as ``run_config``, may collide with LangChain's injected
``config`` argument. Rename that user-facing field or extend this
helper before using that signature.
"""
config_param = _get_runnable_config_param(coro)
def run_coroutine(*args: Any, **kwargs: Any) -> Any:
try:
loop = asyncio.get_running_loop()
except RuntimeError:
loop = None
try:
if loop is not None and loop.is_running():
context = contextvars.copy_context()
future = _SYNC_TOOL_EXECUTOR.submit(context.run, lambda: asyncio.run(coro(*args, **kwargs)))
return future.result()
return asyncio.run(coro(*args, **kwargs))
except Exception as e:
logger.error("Error invoking tool %r via sync wrapper: %s", tool_name, e, exc_info=True)
raise
if config_param:
def sync_wrapper(*args: Any, config: RunnableConfig = None, **kwargs: Any) -> Any:
if config is not None or config_param not in kwargs:
kwargs[config_param] = config
return run_coroutine(*args, **kwargs)
return sync_wrapper
def sync_wrapper(*args: Any, **kwargs: Any) -> Any:
return run_coroutine(*args, **kwargs)
return sync_wrapper