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    Pythonlangchain-corecallbacksmanageratrace_as_chain_group
    Function●Since v0.1

    atrace_as_chain_group

    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.

    Copy
    atrace_as_chain_group(
      group_name: str,
      callback_manager: AsyncCallbackManager | None = None,
      *,
      inputs: dict[str, Any] | None = None,
      project_name: str | None = None,
      example_id: str | UUID | None = None,
      run_id: UUID | None = None,
      tags: list[str] | None = None,
      metadata: dict[str, Any] | None = None
    ) -> AsyncGenerator[AsyncCallbackManagerForChainGroup, None]

    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.ainvoke(llm_input, {"callbacks": manager})
        await manager.on_chain_end({"output": res})

    Parameters

    NameTypeDescription
    group_name*str

    The name of the chain group.

    callback_managerAsyncCallbackManager | None
    Default:None

    The async callback manager to use, which manages tracing and other callback behavior.

    inputsdict[str, Any] | None
    Default:None

    The inputs to the chain group.

    project_namestr | None
    Default:None

    The name of the project.

    example_idstr | UUID | None
    Default:None

    The ID of the example.

    run_idUUID | None
    Default:None

    The ID of the run.

    tagslist[str] | None
    Default:None

    The inheritable tags to apply to all runs.

    metadatadict[str, Any] | None
    Default:None

    The metadata to apply to all runs.

    View source on GitHub