This repository provides a template for streaming chat completions from a Python backend (FastAPI) to a Next.js frontend using the Data Stream Protocol. It's designed for developers looking to integrate real-time AI chat experiences into their web applications, offering a practical example of how to leverage Vercel's AI SDK.

How It Works

The project utilizes FastAPI to create a Python backend that streams chat completions. This streaming capability is achieved through the Data Stream Protocol, enabling efficient, real-time data transfer. The Next.js frontend, using the useChat hook from the AI SDK, consumes these streams to display responses as they are generated, creating a dynamic chat interface.

Quick Start & Requirements

• Installation: Bootstrap a Next.js app using npx create-next-app --example https://github.com/vercel-labs/ai-sdk-preview-python-streaming <your-app-name>.
• Prerequisites: Accounts and API keys from AI providers (e.g., OpenAI, Anthropic), Node.js, Python 3.x, virtualenv.
• Setup: Set environment variables (API keys) in a .env file. Install Node dependencies with pnpm install, Python dependencies with pip install -r requirements.txt within a virtual environment.
• Running: Launch the development server with pnpm dev.
• Learn More: AI SDK Documentation, Next.js Documentation.

Highlighted Details

• Demonstrates real-time streaming of AI chat completions.
• Integrates FastAPI backend with Next.js frontend via Data Stream Protocol.
• Provides a practical, runnable example for developers.

Maintenance & Community

This is a Vercel Labs project, indicating potential backing and development by Vercel. Further community or maintenance details are not provided in the README.

Licensing & Compatibility

The license is not specified in the provided README. Compatibility for commercial use or closed-source linking would depend on the actual license file.

Limitations & Caveats

The project is presented as a "preview" and a "template," suggesting it may be experimental or subject to change. Specific AI providers require separate accounts and API keys, and environment variable setup is necessary for local execution.