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AI SDK Python Streaming

AI SDK template for streaming chat completions from FastAPI Python Vercel Function, showcasing Data Stream Protocol and useChat hook.

Introduction

This template demonstrates how to use the AI SDK with Python and FastAPI to stream chat completions in a Next.js application. It leverages the Data Stream Protocol for efficient data transfer from a Python endpoint to the Next.js frontend. The useChat hook simplifies the integration of chat functionality within the Next.js application.

Key features include:

  • Streaming Chat Completions: Implements real-time streaming of chat completions from a Python backend.
  • FastAPI Integration: Uses FastAPI to create a Python-based API endpoint for generating chat completions.
  • Data Stream Protocol: Employs the Data Stream Protocol for efficient and reliable data streaming.
  • Next.js Frontend: Provides a Next.js frontend for displaying the chat interface.
  • useChat Hook: Integrates the useChat hook from the AI SDK to manage chat state and interactions.

Use cases:

  • AI Chatbots: Building AI-powered chatbots with real-time streaming capabilities.
  • Interactive Applications: Creating interactive applications that require streaming data from a backend server.
  • AI-Powered Assistants: Developing AI assistants that can provide real-time responses and suggestions.

To use this template, you'll need to set up accounts with AI providers like OpenAI or Anthropic, obtain API keys, and configure environment variables. The template provides instructions for installing dependencies, creating a virtual environment, and launching the development server.

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