This project provides an open-source AI chatbot template built with Next.js and Vercel's AI SDK, targeting developers who want to quickly deploy a generative UI chatbot. It leverages React Server Components and Server Actions for enhanced performance and offers a unified API for interacting with various Large Language Models (LLMs).

How It Works

The chatbot utilizes the Vercel AI SDK, providing a unified interface for LLM interactions, including text generation, structured object output, and tool calls. It defaults to Google Gemini models but supports easy switching to providers like OpenAI, Anthropic, and Cohere. The architecture incorporates Next.js App Router for advanced routing and React Server Components (RSCs) for efficient server-side rendering.

Quick Start & Requirements

• Install dependencies: pnpm install
• Run locally: pnpm dev
• Requires Node.js and pnpm.
• Environment variables (API keys for LLM providers, Vercel Postgres, etc.) are managed via a .env file or Vercel CLI.
• Official deployment guide: Deploy Your Own

Highlighted Details

• Unified API for multiple LLM providers (Google Gemini, OpenAI, Anthropic, Cohere).
• Built with Next.js App Router, React Server Components, and Server Actions.
• Styling powered by shadcn/ui and Tailwind CSS.
• Data persistence options include Vercel Postgres and Vercel Blob.
• Integrates NextAuth.js for authentication.

Maintenance & Community

This project is part of Vercel Labs. Further community and roadmap information is not detailed in the README.

Licensing & Compatibility

The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project relies heavily on Vercel's ecosystem (Vercel Postgres, Vercel Blob, Vercel CLI), which may present vendor lock-in concerns for users not deploying on Vercel. The absence of a stated license requires clarification for any usage.