36 lines
1.1 KiB
TypeScript
36 lines
1.1 KiB
TypeScript
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import { AgentAction, AgentFinish } from "@langchain/core/agents";
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import { AgentActionOutputParser } from "../types.js";
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/**
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* @example
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* ```typescript
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* const prompt = ChatPromptTemplate.fromMessages([
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* HumanMessagePromptTemplate.fromTemplate(AGENT_INSTRUCTIONS),
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* new MessagesPlaceholder("agent_scratchpad"),
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* ]);
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* const runnableAgent = RunnableSequence.from([
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* ...rest of runnable
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* prompt,
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* new ChatAnthropic({ modelName: "claude-2", temperature: 0 }).bind({
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* stop: ["</tool_input>", "</final_answer>"],
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* }),
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* new XMLAgentOutputParser(),
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* ]);
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* const result = await executor.invoke({
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* input: "What is the weather in Honolulu?",
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* tools: [],
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* });
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* ```
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*/
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export declare class XMLAgentOutputParser extends AgentActionOutputParser {
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lc_namespace: string[];
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static lc_name(): string;
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/**
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* Parses the output text from the agent and returns an AgentAction or
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* AgentFinish object.
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* @param text The output text from the agent.
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* @returns An AgentAction or AgentFinish object.
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*/
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parse(text: string): Promise<AgentAction | AgentFinish>;
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getFormatInstructions(): string;
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}
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