langchain_core.callbacks.manager
.trace_as_chain_groupยถ
- langchain_core.callbacks.manager.trace_as_chain_group(group_name: str, callback_manager: Optional[CallbackManager] = 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) Generator[CallbackManagerForChainGroup, None, None] [source]ยถ
Get a callback manager for a chain group in a context manager. Useful for grouping different calls together as a single run even if they arenโt composed in a single chain.
- Parameters
group_name (str) โ The name of the chain group.
callback_manager (CallbackManager, optional) โ The callback manager to use.
inputs (Dict[str, Any], optional) โ The inputs to the chain group.
project_name (str, optional) โ The name of the project. Defaults to None.
example_id (str or UUID, optional) โ The ID of the example. Defaults to None.
run_id (UUID, optional) โ The ID of the run.
tags (List[str], optional) โ The inheritable tags to apply to all runs. Defaults to None.
Note: must have LANGCHAIN_TRACING_V2 env var set to true to see the trace in LangSmith.
- Returns
The callback manager for the chain group.
- Return type
Example
llm_input = "Foo" with trace_as_chain_group("group_name", inputs={"input": llm_input}) as manager: # Use the callback manager for the chain group res = llm.predict(llm_input, callbacks=manager) manager.on_chain_end({"output": res})