Class RunnableWithFallbacks<RunInput, RunOutput>

A Runnable that can fallback to other Runnables if it fails.

Type Parameters

  • RunInput

  • RunOutput

Hierarchy

  • Runnable<RunInput, RunOutput>
    • RunnableWithFallbacks

Constructors

Properties

fallbacks: Runnable<RunInput, RunOutput, BaseCallbackConfig>[]
lc_kwargs: SerializedFields
lc_namespace: string[] = ...

A path to the module that contains the class, eg. ["langchain", "llms"] Usually should be the same as the entrypoint the class is exported from.

lc_serializable: boolean = true
runnable: Runnable<RunInput, RunOutput, BaseCallbackConfig>
lc_runnable: boolean = true

Accessors

  • get lc_aliases(): undefined | {
        [key: string]: string;
    }
  • A map of aliases for constructor args. Keys are the attribute names, e.g. "foo". Values are the alias that will replace the key in serialization. This is used to eg. make argument names match Python.

    Returns undefined | {
        [key: string]: string;
    }

  • get lc_attributes(): undefined | SerializedFields
  • A map of additional attributes to merge with constructor args. Keys are the attribute names, e.g. "foo". Values are the attribute values, which will be serialized. These attributes need to be accepted by the constructor as arguments.

    Returns undefined | SerializedFields

  • get lc_secrets(): undefined | {
        [key: string]: string;
    }
  • A map of secrets, which will be omitted from serialization. Keys are paths to the secret in constructor args, e.g. "foo.bar.baz". Values are the secret ids, which will be used when deserializing.

    Returns undefined | {
        [key: string]: string;
    }

Methods

  • Internal method that handles batching and configuration for a runnable It takes a function, input values, and optional configuration, and returns a promise that resolves to the output values.

    Type Parameters

    • T

    Parameters

    • func: ((inputs, options?, runManagers?, batchOptions?) => Promise<(Error | RunOutput)[]>)

      The function to be executed for each input value.

    • inputs: T[]
    • Optional options: Partial<BaseCallbackConfig & {
          runType?: string;
      }> | Partial<BaseCallbackConfig & {
          runType?: string;
      }>[]
    • Optional batchOptions: RunnableBatchOptions

    Returns Promise<(Error | RunOutput)[]>

    A promise that resolves to the output values.

  • Create a new runnable sequence that runs each individual runnable in series, piping the output of one runnable into another runnable or runnable-like.

    Type Parameters

    • NewRunOutput

    Parameters

    • coerceable: RunnableLike<RunOutput, NewRunOutput>

      A runnable, function, or object whose values are functions or runnables.

    Returns RunnableSequence<RunInput, Exclude<NewRunOutput, Error>>

    A new runnable sequence.

  • Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.

    Parameters

    • input: RunInput
    • Optional options: Partial<BaseCallbackConfig>
    • Optional streamOptions: Omit<LogStreamCallbackHandlerInput, "autoClose">

    Returns AsyncGenerator<RunLogPatch, any, unknown>

  • Default implementation of transform, which buffers input and then calls stream. Subclasses should override this method if they can start producing output while input is still being generated.

    Parameters

    Returns AsyncGenerator<RunOutput, any, unknown>

  • The name of the serializable. Override to provide an alias or to preserve the serialized module name in minified environments.

    Implemented as a static method to support loading logic.

    Returns string

  • Helper method to transform an Iterator of Input values into an Iterator of Output values, with callbacks. Use this to implement stream() or transform() in Runnable subclasses.

    Type Parameters

    • I

    • O

    Parameters

    • inputGenerator: AsyncGenerator<I, any, unknown>
    • transformer: ((generator, runManager?, options?) => AsyncGenerator<O, any, unknown>)
        • (generator, runManager?, options?): AsyncGenerator<O, any, unknown>
        • Parameters

          Returns AsyncGenerator<O, any, unknown>

    • Optional options: BaseCallbackConfig & {
          runType?: string;
      }

    Returns AsyncGenerator<O, any, unknown>

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