A production-ready full-stack template for AI agents with Pydantic AI and Logfire

Developing AI applications often involves repetitive foundational work such as setting up authentication, real-time streaming, conversation persistence, observability, deployment, and CI/CD pipelines, which delays the implementation of business logic. The open-source full-stack-ai-agent-template aims to streamline this process by providing a CLI tool that generates production-ready applications using FastAPI, Next.js 15, and either Pydantic AI or LangChain for AI agents. This tool offers features like WebSocket streaming, JWT authentication, database setup with Alembic migrations, Redis caching, Logfire tracing, and Docker deployment with a single command. Pydantic AI is favored for its type safety and simpler model, while LangChain is recommended for projects requiring its extensive tool library and LangSmith tracing capabilities. The template also integrates Pydantic Logfire for enhanced observability, enabling developers to easily track and debug production issues by providing detailed traces and logs across multiple subsystems. This approach allows teams to bypass the repetitive scaffolding phase and concentrate on developing their unique AI solutions.

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