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FastAPI AI Kit
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Expose your AI capability as a versioned, documented, billable API.

Building an AI-powered API product means more than wrapping an LLM call — you need auth, versioning, OpenAPI docs, rate limiting, and metering as first-class concerns. FastAPI AI Kit is structured around exposing exactly that kind of API.

FastAPIPydantic v2PostgreSQLRedisStripe

The usual pain points

  • ✕Documenting request/response schemas for external API consumers
  • ✕Authenticating and rate-limiting third-party API access
  • ✕Versioning endpoints as your AI features evolve
  • ✕Metering usage per API key for billing or internal cost allocation

How the kit solves them

  • OpenAPI docs auto-generated from Pydantic v2 request/response models
  • API key issuance and per-key rate limiting built into every endpoint
  • Router structure supports versioned paths (/v1/, /v2/) cleanly
  • Token/usage metering per key ready to bill via Stripe or expose in a usage dashboard

Example implementation

main.py
# Auto-documented, versioned, authenticated, metered
@router.post("/v1/analyze", response_model=AnalyzeResponse)
@require_api_key(tier=["basic", "pro"])
@rate_limit(per_minute=30)
async def analyze(body: AnalyzeRequest, key: APIKey = Depends(get_api_key)):
    result = await llm.chat(messages=build_prompt(body), track_tokens=True)
    await meter.record(key.id, result.tokens)
    return AnalyzeResponse(output=result.content)

Ready to build your ai api boilerplate?

FastAPI AI Kit ships with everything shown above, pre-configured and production-ready. Clone the repo and start building in minutes.

Ready to ship your AI backend this weekend?

Join developers who skipped weeks of boilerplate and went straight to building.

Read the docs
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