Class AgentExecutor

A chain managing an agent using tools.

Example


const executor = AgentExecutor.fromAgentAndTools({
agent: async () => loadAgentFromLangchainHub(),
tools: [new SerpAPI(), new Calculator()],
returnIntermediateSteps: true,
});

const result = await executor.invoke({
input: `Who is Olivia Wilde's boyfriend? What is his current age raised to the 0.23 power?`,
});

Hierarchy

Constructors

Properties

agent: BaseSingleActionAgent | BaseMultiActionAgent
earlyStoppingMethod: StoppingMethod = "force"
handleParsingErrors: string | boolean | ((e) => string) = false

How to handle errors raised by the agent's output parser. Defaults to False, which raises the error.

If true, the error will be sent back to the LLM as an observation. If a string, the string itself will be sent to the LLM as an observation. If a callable function, the function will be called with the exception as an argument, and the result of that function will be passed to the agent as an observation.

Type declaration

returnIntermediateSteps: boolean = false
tools: StructuredTool<ZodObject<any, any, any, any, {}>>[]
verbose: boolean

Whether to print out response text.

callbacks?: Callbacks
maxIterations?: number = 15
memory?: BaseMemory
metadata?: Record<string, unknown>
tags?: string[]

Accessors

  • get inputKeys(): string[]
  • Returns string[]

  • get outputKeys(): string[]
  • Returns string[]

  • get shouldContinueGetter(): ((iterations) => boolean)
  • Returns ((iterations) => boolean)

      • (iterations): boolean
      • Method that checks if the agent execution should continue based on the number of iterations.

        Parameters

        • iterations: number

          The current number of iterations.

        Returns boolean

        A boolean indicating whether the agent execution should continue.

Methods

  • Run the core logic of this chain and add to output if desired.

    Wraps _call and handles memory.

    Parameters

    Returns Promise<ChainValues>

  • Invoke the chain with the provided input and returns the output.

    Parameters

    Returns Promise<ChainValues>

    Promise that resolves with the output of the chain run.

  • 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<ChainValues, NewRunOutput>

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

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

    A new runnable sequence.

  • Parameters

    • inputs: Record<string, unknown>
    • outputs: Record<string, unknown>
    • returnOnlyOutputs: boolean = false

    Returns Promise<Record<string, unknown>>

  • Parameters

    Returns Promise<string>

  • Stream output in chunks.

    Parameters

    Returns Promise<IterableReadableStream<ChainValues>>

    A readable stream that is also an iterable.

  • 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

    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<ChainValues, any, unknown>

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