Next.js与OpenAI兼容API实战：从零构建AI聊天机器人_CG群

本课程面向初学者，用TypeScript与Next.js App Router在3小时内从零构建AI聊天机器人，涵盖安全后端路由、OpenAI兼容接口对接、类型安全建模、流式响应与Vercel部署，助你快速掌握全栈AI应用开发。

原始标题：Build a Chatbot with Next.js and an OpenAI-compatible API

Build a Chatbot with Next.js and an OpenAI-compatible API

本课程是一门专为初学者打造的 TypeScript 与 Next.js（App Router）全栈 AI 聊天机器人高效率实战课。在 3 小时 14 分钟的教学中，你将从零搭建 Next.js 项目，使用带 "use client" 的 React 组件手写前端聊天窗口，并在 /app/api/chat 中构建全栈隔离的安全后端路由，利用官方 openai 客户端（v7.27.0）无缝对接任何OpenAI 兼容的 AI 接口；课程不仅通过 TypeScript 强类型对前后端请求进行硬核建模以确保类型安全，还打通了浏览器的 localStorage 本地历史持久化，并包含高级打字机流式响应（Streaming）的选修实现；最终，你将掌握环境变量安全、速率限制等生产环境规范，并成功将一个具备商用雏形的聊天应用一键部署至 Vercel 平台。

Build, run and deploy a TypeScript Next.js chatbot backed by an OpenAI-compatible API, step by step

What you’ll learn
⚡ Create a new Next.js project with TypeScript and run it locally (npm run dev).
⚡ Write a client-side chat UI using React components under the App Router.
⚡ Implement a server-side API route that calls an OpenAI-compatible API using the openai npm client ([email protected]).
⚡ Send user messages to the server route, receive model responses, and render them in the UI.
⚡ Use TypeScript types to model request and response shapes for safer code and clearer errors.
⚡ Handle basic errors and show user-friendly messages when the AI API fails or the network drops.
⚡ (Optional) Implement streaming responses so message text appears progressively.
⚡ Deploy the app to Vercel (or another host) while keeping API keys secret.

Requirements
❗ Comfort creating and editing files (VS Code or similar)
❗ Basic knowledge of HTML and CSS
❗ Basic JavaScript knowledge (variables, functions, async/await)
❗ Willingness to follow terminal commands (npm, git)
❗ A laptop or desktop with an internet connection
❗ A code editor (VS Code recommended)
❗ Git installed (for cloning templates and deployment workflows)
❗ A modern browser (Chrome, Firefox, Edge, or Safari)

Description
This course contains the use of artificial intelligence.

This course is a pragmatic, beginner-friendly walkthrough that teaches you to build, run, and deploy a TypeScript Next.js chatbot backed by an OpenAI-compatible API using the App Router. It focuses on a small but real chat application implemented with Next.js (App Router) and TypeScript, connected to an OpenAI-compatible API via the openai npm client.

You will build a chat UI that includes a message list and input box, a secure server API route that forwards messages to the AI API, handling of API errors, and simple local chat history persisted to the browser. An optional lesson covers streaming responses so the UI can show incremental text while the model is generating.

By the end you will be able to start a Next.js + TypeScript project configured with the official packages used in production, implement a client-side chat component and a server API route at /app/api/chat or /api/chat that calls an OpenAI-compatible API, and type the code with TypeScript to get safer API usage and clearer errors. The course shows how to persist conversations to localStorage and explains how to adapt the server to persist to a database. It also covers deploying the finished app to Vercel or a similar host while keeping your API key secret.

Technical lessons include project setup and TypeScript basics (Create a Next.js + TypeScript app, install [email protected].0 and dotenv, add .env.local with OPENAI_API_KEY, check tsconfig.json, and run npm run dev), App Router anatomy and a minimal chat UI (add /app/layout.tsx and /app/page.tsx, create app/components/ChatWindow.tsx with “use client”), and a secure server route at /app/api/chat/route.ts that uses the openai client to call the Responses API. The course emphasizes server-vs-client boundaries (do not import openai in client code) and basic production notes such as avoiding logging secrets, pinning a Node version, and adding basic rate limits and cost monitoring.

This course is aimed at beginner web developers who know basic HTML/CSS and some JavaScript, are comfortable creating and editing files, and can follow terminal commands (npm, git). The final project is a deployed Next.js TypeScript chatbot that accepts user messages, forwards them to an OpenAI-compatible API from a secure server route, renders AI responses in a chat UI, supports local chat history, and includes TypeScript types and basic production readiness guidance, with optional streaming output.

Who this course is for
⭐ Beginner web developers who know HTML/CSS and basic JavaScript and want a step-by-step Next.js chatbot project.
⭐ JavaScript developers with no prior Next.js or TypeScript experience who want a hands-on guide to build an AI chatbot.
⭐ Developers who want to integrate an OpenAI-compatible API into a TypeScript Next.js app and deploy it for real use.

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