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    Pythonlangchain-corerunnablesbaseRunnableabatch
    Method●Since v0.1

    abatch

    Default implementation runs ainvoke in parallel using asyncio.gather.

    The default implementation of batch works well for IO bound runnables.

    Subclasses must override this method if they can batch more efficiently; e.g., if the underlying Runnable uses an API which supports a batch mode.

    Copy
    abatch(
      self,
      inputs: list[Input],
      config: RunnableConfig | list[RunnableConfig] | None = None,
      *,
      return_exceptions: bool = False,
      **kwargs: Any | None = {}
    ) -> list[Output]

    Parameters

    NameTypeDescription
    inputs*list[Input]

    A list of inputs to the Runnable.

    configRunnableConfig | list[RunnableConfig] | None
    Default:None

    A config to use when invoking the Runnable.

    The config supports standard keys like 'tags', 'metadata' for tracing purposes, 'max_concurrency' for controlling how much work to do in parallel, and other keys.

    Please refer to RunnableConfig for more details.

    return_exceptionsbool
    Default:False

    Whether to return exceptions instead of raising them.

    **kwargsAny | None
    Default:{}

    Additional keyword arguments to pass to the Runnable.

    View source on GitHub