| app | ||
| assets/fonts | ||
| components | ||
| lib | ||
| public | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitignore | ||
| auth.ts | ||
| index.d.ts | ||
| middleware.ts | ||
| next-env.d.ts | ||
| next.config.js | ||
| package.json | ||
| pnpm-lock.yaml | ||
| postcss.config.js | ||
| prettier.config.cjs | ||
| README.md | ||
| tailwind.config.js | ||
| tsconfig.json | ||
Next.js AI Chatbot
A Next.js 13 and App Router-ready AI chatbot template featuring:
- Next.js App Router
- React Server Components (RSCs), Suspense, and Server Actions
- Vercel AI SDK for streaming chat UI
- Support for OpenAI (default), Anthropic, HuggingFace, or custom AI chat models and/or LangChain
- Edge runtime-ready
- shadcn/ui
- Styling with Tailwind CSS
- Radix UI for headless component primitives
- Icons from Phosphor Icons
- Chat History, rate limiting, and session storage with Vercel KV
- Next Auth for authentication
Model Providers
This template ships with OpenAI gpt-3.5-turbo as the default. However, thanks to the Vercel AI SDK, switching LLM providers to Anthropic, HuggingFace, or using LangChain with just a few lines of code.
Running locally
You will need to use the environment variables defined in .env.example to run Next.js AI Chatbot. It's recommended you use Vercel Environment Variables for this, but a .env file is all that is necessary.
Note: You should not commit your
.envfile or it will expose secrets that will allow others to control access to your various OpenAI and authentication provider accounts.
- Install Vercel CLI:
npm i -g vercel - Link local instance with Vercel and GitHub accounts (creates
.verceldirectory):vercel link - Download your environment variables:
vercel env pull
pnpm install
pnpm dev
Your app should now be running on localhost:3000.
Authors
This library is created by Vercel and Next.js team members, with contributions from:
- Jared Palmer (@jaredpalmer) - Vercel
- Shu Ding (@shuding_) - Vercel
- shadcn (@shadcn) - Contractor