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    Pythonlangchain-corerunnablesbaseRunnableabatch_as_completed
    Methodā—Since v0.1

    abatch_as_completed

    Copy
    abatch_as_completed(
      self,
      inputs: Sequence[Input],
      config: RunnableConfig | Sequence
    View source on GitHub
    [
    RunnableConfig
    ]
    |
    None
    =
    None
    ,
    *
    ,
    return_exceptions
    :
    bool
    =
    False
    ,
    **
    kwargs
    :
    Any
    |
    None
    =
    {
    }
    )
    ->
    AsyncIterator
    [
    tuple
    [
    int
    ,
    Output
    |
    Exception
    ]
    ]

    Parameters

    NameTypeDescription
    inputs*Sequence[Input]

    A list of inputs to the Runnable.

    configRunnableConfig | Sequence[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:{}

    Run ainvoke in parallel on a list of inputs.

    Yields results as they complete.

    Whether to return exceptions instead of raising them.

    Additional keyword arguments to pass to the Runnable.