FastAPI AI Kit: Ship your AI backend this weekend, not next quarter

The production-ready FastAPI + AI boilerplate. Skip 60+ hours of setup. JWT auth, LLM integration, RAG pipeline, billing hooks, Docker, and more — all wired up and ready to deploy.

Hey Product Hunt! Every AI project I started began the same way: days lost wiring up auth, LLM provider switching, streaming, a RAG pipeline, billing, and deployment, before writing a single line of the actual product. So I built FastAPI AI Kit: a production-ready FastAPI boilerplate with all of that already wired together: JWT auth, a unified LLM abstraction layer (OpenAI, Anthropic, local models), SSE streaming with token tracking, RAG with pgvector or Qdrant, Stripe-compatible billing hooks, background jobs, and one-command deploys to Railway, Render, or Fly.io. It is full source code, no obfuscation, one-time payment of $69 with lifetime updates, so you can go from zero to a deployed AI backend in about 10 minutes instead of 60+ hours. Would love your feedback, happy to answer anything about the stack or architecture choices!

A background worker for retries and rate limiting would be a solid add, something like Celery or ARQ wired in for handling failed LLM calls and Stripe webhooks cleanly. Most of us end up bolting that on anyway, and it would save another chunk of setup time for teams running this in production.