Parses ReAct-style LLM calls that have a single tool input.

Expects output to be in one of two formats.

If the output signals that an action should be taken, should be in the below format. This will result in an AgentAction being returned.

Thought: agent thought here
Action: search
Action Input: what is the temperature in SF?

If the output signals that a final answer should be given, should be in the below format. This will result in an AgentFinish being returned.

Thought: agent thought here
Final Answer: The temperature is 100 degrees

Hierarchy

Constructors

Methods

  • Calls the parser with a given input and optional configuration options. If the input is a string, it creates a generation with the input as text and calls parseResult. If the input is a BaseMessage, it creates a generation with the input as a message and the content of the input as text, and then calls parseResult.

    Parameters

    • input: string | BaseMessage

      The input to the parser, which can be a string or a BaseMessage.

    • Optional options: BaseCallbackConfig

      Optional configuration options.

    Returns Promise<AgentAction | AgentFinish>

    A promise of the parsed output.

  • 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: string | BaseMessage
    • Optional options: Partial<BaseCallbackConfig>
    • Optional streamOptions: Omit<LogStreamCallbackHandlerInput, "autoClose">

    Returns AsyncGenerator<RunLogPatch, any, unknown>

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