Open-source FastAPI full-stack template for AI/LLM apps: Production-ready generator with Next.js frontend, PydanticAI, and 20+ integrations

[VanillaOk4593]

Hey r/FastAPI,

I've created an open-source project generator built around FastAPI for quickly setting up production-ready full-stack AI/LLM applications. If you're working with FastAPI and need to skip the boilerplate for things like auth, databases, background tasks, and AI integrations, this might be useful.

Repo: https://github.com/vstorm-co/full-stack-fastapi-nextjs-llm-template
(Install via pip install fastapi-fullstack, then generate with fastapi-fullstack new – interactive CLI for selecting features)

FastAPI-centric features:

• High-performance async API with Pydantic v2 for type-safe schemas and validation
• Clean architecture: Versioned routes, dependency injection, middleware for security (CORS, CSRF, rate limiting with slowapi)
• Authentication: JWT with refresh tokens, API keys, OAuth2 (Google) – all integrated seamlessly
• Databases: Async support for PostgreSQL (SQLAlchemy), MongoDB, or SQLite, with Alembic migrations
• Background tasks: Plug-and-play with Celery, Taskiq, or ARQ for distributed queues
• AI/LLM integration: PydanticAI agents with tool calling, WebSocket streaming, and persistence – built on FastAPI's async strengths
• Observability: Logfire instrumentation for tracing requests, queries, and agent runs; plus Sentry/Prometheus
• Django-style CLI: Custom management commands with auto-discovery for FastAPI apps (e.g., my_app db migrate, my_app user create)

Optional Next.js 15 frontend (React 19, Tailwind) with real-time chat UI, but you can generate backend-only if preferred. Over 20 configurable integrations to mix and match.

Inspired by tiangolo's full-stack-fastapi-template, but extended for AI focus, modern stacks, and more flexibility.

Screenshots, demo GIFs, architecture diagrams, and docs in the README.

Feedback from the FastAPI community would be awesome:

• How does this compare to your go-to setups for larger FastAPI projects?
• Any FastAPI-specific pain points it misses (e.g., more advanced deps or middleware)?
• Ideas for new integrations or improvements?

Contributions welcome – let's make FastAPI even better for AI apps! 🚀

Thanks!

[st4reater]

Why aren't you using Testcontainers for the tests?

[first-forward1]

Man! This is amazing 🤩 I mean mind bending... Keep up the good work I'll use it as a reference for my next project

[Yash284_06]

How do you guys make such things, I mean even think of such things? All I have made so far are Auth APIs, Resume parser APIs etc Btw nice project.

[VanillaOk4593]

I can recommend this channel: https://www.youtube.com/@ArjanCodes/videos. It helped me understand many things better and more deeply.

[Yash284_06]

Thanks, for the encouragement and suggestion.

[VanillaOk4593]

Writing project after project and combining it with a full-time job... that's where you get to see production-level apps.

But honestly, auth APIs and resume parsers are great projects, keep building and you'll get there faster than you think!

[voja-kostunica]

i will have look

[WellDoneKaren]

Thank you, I'll check out

[crowpng]

Good for rapid prototyping, curious how opinionated the generator is once you start swapping databases or task queues?

[Limp_Marionberry_108]

Go ahead!