langchain.js
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    Class ChatAgentOutputParser

    A class that extends the AgentActionOutputParser to parse the output of the ChatAgent in LangChain. It checks if the output text contains the final answer action or a JSON response, and parses it accordingly.

    const prompt = ChatPromptTemplate.fromMessages([
      [
        "ai",
        `{PREFIX}
    {FORMAT_INSTRUCTIONS}
    {SUFFIX}`,
      ],
      ["human", "Question: {input}"],
    ]);
    const runnableAgent = RunnableSequence.from([
      {
        input: (i: { input: string; steps: AgentStep[] }) => i.input,
        agent_scratchpad: (i: { input: string; steps: AgentStep[] }) =>
          formatLogToString(i.steps),
      },
      prompt,
      new OpenAI({ temperature: 0 }),
      new ChatAgentOutputParser(),
    ]);

    const executor = AgentExecutor.fromAgentAndTools({
      agent: runnableAgent,
      tools: [new SerpAPI(), new Calculator()],
    });

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

    Hierarchy (View Summary)

    Index

    Constructors

    constructor

    Properties

    lc_namespace

    Methods

    getFormatInstructions parse

    Constructors

    Properties

    lc_namespace: string[] = ...

    Methods

    • Returns the format instructions used in the output parser for the ChatAgent class.

      Returns string

      The format instructions as a string.

    • Parses the output text from the MRKL chain into an agent action or agent finish. If the text contains the final answer action or does not contain an action, it returns an AgentFinish with the output and log. If the text contains a JSON response, it returns the tool, toolInput, and log.

      Parameters

      • text: string

        The output text from the MRKL chain.

      Returns Promise<any>

      An object that satisfies the AgentFinish interface or an object with the tool, toolInput, and log.

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