What it is
FastAPI AI Kit is the production scaffolding I rebuilt one too many times. Async FastAPI endpoints, streaming LLM responses, authentication middleware, rate limiting, background job handling, structured logging, Redis caching, and a clean containerized deploy — all properly wired together from the start. Every new AI project I built needed the same foundation and I kept building it from scratch. This is the version I actually want to start from, packaged once and made reusable.
Why I built it
I kept copy-pasting the same FastAPI setup into every AI project I built. The streaming endpoint configuration. The auth middleware. The rate limiting layer. The structured logging setup. The Docker config. It was always the same foundation and I was always rebuilding it from zero. At some point that stops being setup and starts being waste. So I packaged the version I actually wanted — with the streaming, observability, and caching already wired in — and turned it into a proper starter kit anyone can use to skip the boilerplate entirely.
What's inside
- Streaming LLM endpoints out of the box, ready to connect to any model API
- Auth, rate limits, and structured logging built in from day one, not added later
- Background job handling for async AI workloads that shouldn’t block the request
- Containerized and deploy-ready with Docker — clean from local to production
- Redis caching layer for high-frequency query optimization built in from the start
- Currently in active development, shipping soon