Building a Production-Oriented AI Automation Workflow with Python, FastAPI, and LLMs
A complete engineering guide to building a production-oriented AI automation service with Python, FastAPI, and Pydantic v2. It explores persistent async OpenAI client lifecycle management via ASGI lifespan handlers, prompt segregation, boundary sanitization, constant-time API key security, and semantic HTTP status mapping for upstream provider rate limits and timeouts. Features an automated 14-scenario pytest suite using context-managed test clients and practical production hardening strategies.