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    Pythonlangchain-corerunnablesbaseRunnablebatch
    Methodā—Since v0.1

    batch

    Copy
    batch(
      self,
      inputs: list[Input],
      config: RunnableConfig | list
    View source on GitHub
    [
    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
    **kwargsAny | None
    Default:{}

    Default implementation runs invoke in parallel using a thread pool executor.

    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.

    Whether to return exceptions instead of raising them.

    Additional keyword arguments to pass to the Runnable.