langchain_core.callbacks.manager
.atrace_as_chain_group¶
- langchain_core.callbacks.manager.atrace_as_chain_group(group_name: str, callback_manager: Optional[AsyncCallbackManager] = None, *, inputs: Optional[Dict[str, Any]] = None, project_name: Optional[str] = None, example_id: Optional[Union[str, UUID]] = None, run_id: Optional[UUID] = None, tags: Optional[List[str]] = None) AsyncGenerator[AsyncCallbackManagerForChainGroup, None] [source]¶
Get an async callback manager for a chain group in a context manager. Useful for grouping different async calls together as a single run even if they aren’t composed in a single chain.
- Parameters
group_name (str) – The name of the chain group.
callback_manager (AsyncCallbackManager, optional) – The async callback manager to use, which manages tracing and other callback behavior.
project_name (str, optional) – The name of the project. Defaults to None.
example_id (str or UUID, optional) – The ID of the example. Defaults to None.
run_id (UUID, optional) – The ID of the run.
tags (List[str], optional) – The inheritable tags to apply to all runs. Defaults to None.
- Returns
The async callback manager for the chain group.
- Return type
Note: must have LANGCHAIN_TRACING_V2 env var set to true to see the trace in LangSmith.
Example
llm_input = "Foo" async with atrace_as_chain_group("group_name", inputs={"input": llm_input}) as manager: # Use the async callback manager for the chain group res = await llm.apredict(llm_input, callbacks=manager) await manager.on_chain_end({"output": res})