微软开源TypeChat库，给大语言模型换种提示，一行代码安装

//./src/sentimentSchema.ts

// The following is a schema definition for determining the sentiment of a some user input.

export interface SentimentResponse {    /** The sentiment of the text. */    sentiment: "negative" | "neutral" | "positive";}

//./src/main.ts

import * as fs from "fs";import * as path from "path";import dotenv from "dotenv";import * as typechat from "typechat";import {SentimentResponse} from "./sentimentSchema";

// Load environment variables.dotenv.config ({ path: path.join (__dirname, "../.env") });

// Create a language model based on the environment variables.const model = typechat.createLanguageModel (process.env);

// Load up the contents of our "Response" schema.const schema = fs.readFileSync (path.join (__dirname, "sentimentSchema.ts"), "utf8");const translator = typechat.createJsonTranslator<SentimentResponse>(model, schema, "SentimentResponse");

// Process requests interactively.typechat.processRequests ("😀>", /*inputFile*/undefined, async (request) => {    const response = await translator.translate (request);    if (!response.success) {        console.log (response.message);        return;    }    console.log (`The sentiment is ${response.data.sentiment}`);});