vercel / chatbot
A full-featured, hackable Next.js AI chatbot built by Vercel
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Repository Overview (README excerpt)
Crawler viewChatbot Chatbot (formerly AI Chatbot) is a free, open-source template built with Next.js and the AI SDK that helps you quickly build powerful chatbot applications. Read Docs · Features · Model Providers · Deploy Your Own · Running locally Features • Next.js App Router • Advanced routing for seamless navigation and performance • React Server Components (RSCs) and Server Actions for server-side rendering and increased performance • AI SDK • Unified API for generating text, structured objects, and tool calls with LLMs • Hooks for building dynamic chat and generative user interfaces • Supports OpenAI, Anthropic, Google, xAI, and other model providers via AI Gateway • shadcn/ui • Styling with Tailwind CSS • Component primitives from Radix UI for accessibility and flexibility • Data Persistence • Neon Serverless Postgres for saving chat history and user data • Vercel Blob for efficient file storage • Auth.js • Simple and secure authentication Model Providers This template uses the Vercel AI Gateway to access multiple AI models through a unified interface. The default model is OpenAI GPT-4.1 Mini, with support for Anthropic, Google, and xAI models. AI Gateway Authentication **For Vercel deployments**: Authentication is handled automatically via OIDC tokens. **For non-Vercel deployments**: You need to provide an AI Gateway API key by setting the environment variable in your file. With the AI SDK, you can also switch to direct LLM providers like OpenAI, Anthropic, Cohere, and many more with just a few lines of code. Deploy Your Own You can deploy your own version of Chatbot to Vercel with one click: Running locally You will need to use the environment variables defined in to run Chatbot. It's recommended you use Vercel Environment Variables for this, but a file is all that is necessary. > Note: You should not commit your file or it will expose secrets that will allow others to control access to your various AI and authentication provider accounts. • Install Vercel CLI: • Link local instance with Vercel and GitHub accounts (creates directory): • Download your environment variables: Your app template should now be running on localhost:3000.