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@langchain/core

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const require_index = require('../errors/index.cjs'); const require_base = require('../runnables/base.cjs'); require('../runnables/index.cjs'); //#region src/output_parsers/base.ts /** * Abstract base class for parsing the output of a Large Language Model * (LLM) call. It provides methods for parsing the result of an LLM call * and invoking the parser with a given input. */ var BaseLLMOutputParser = class extends require_base.Runnable { /** * Parses the result of an LLM call with a given prompt. By default, it * simply calls `parseResult`. * @param generations The generations from an LLM call. * @param _prompt The prompt used in the LLM call. * @param callbacks Optional callbacks. * @returns A promise of the parsed output. */ parseResultWithPrompt(generations, _prompt, callbacks) { return this.parseResult(generations, callbacks); } _baseMessageToString(message) { return typeof message.content === "string" ? message.content : this._baseMessageContentToString(message.content); } _baseMessageContentToString(content) { return JSON.stringify(content); } /** * 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`. * @param input The input to the parser, which can be a string or a `BaseMessage`. * @param options Optional configuration options. * @returns A promise of the parsed output. */ async invoke(input, options) { if (typeof input === "string") return this._callWithConfig(async (input$1, options$1) => this.parseResult([{ text: input$1 }], options$1?.callbacks), input, { ...options, runType: "parser" }); else return this._callWithConfig(async (input$1, options$1) => this.parseResult([{ message: input$1, text: this._baseMessageToString(input$1) }], options$1?.callbacks), input, { ...options, runType: "parser" }); } }; /** * Class to parse the output of an LLM call. */ var BaseOutputParser = class extends BaseLLMOutputParser { parseResult(generations, callbacks) { return this.parse(generations[0].text, callbacks); } async parseWithPrompt(text, _prompt, callbacks) { return this.parse(text, callbacks); } /** * Return the string type key uniquely identifying this class of parser */ _type() { throw new Error("_type not implemented"); } }; /** * Exception that output parsers should raise to signify a parsing error. * * This exists to differentiate parsing errors from other code or execution errors * that also may arise inside the output parser. OutputParserExceptions will be * available to catch and handle in ways to fix the parsing error, while other * errors will be raised. * * @param message - The error that's being re-raised or an error message. * @param llmOutput - String model output which is error-ing. * @param observation - String explanation of error which can be passed to a * model to try and remediate the issue. * @param sendToLLM - Whether to send the observation and llm_output back to an Agent * after an OutputParserException has been raised. This gives the underlying * model driving the agent the context that the previous output was improperly * structured, in the hopes that it will update the output to the correct * format. */ var OutputParserException = class extends Error { llmOutput; observation; sendToLLM; constructor(message, llmOutput, observation, sendToLLM = false) { super(message); this.llmOutput = llmOutput; this.observation = observation; this.sendToLLM = sendToLLM; if (sendToLLM) { if (observation === void 0 || llmOutput === void 0) throw new Error("Arguments 'observation' & 'llmOutput' are required if 'sendToLlm' is true"); } require_index.addLangChainErrorFields(this, "OUTPUT_PARSING_FAILURE"); } }; //#endregion exports.BaseLLMOutputParser = BaseLLMOutputParser; exports.BaseOutputParser = BaseOutputParser; exports.OutputParserException = OutputParserException; //# sourceMappingURL=base.cjs.map