How to Build Production-Ready AI Agents with FastAPI and OpenAI SDK

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A developer with over a year of running AI agents in production has shared a practical guide to building them using FastAPI and the OpenAI Python SDK. The tutorial covers a minimal FastAPI setup that accepts prompts and returns OpenAI responses, handling common errors like rate limits and timeouts. It then demonstrates how to enable tool use, allowing the agent to call external functions such as internal APIs, with the OpenAI SDK managing the function-calling loop. The guide also addresses stateful agents, recommending Redis for persisting chat history and user preferences across sessions using Pydantic models. The author emphasizes avoiding manual state machine implementations in favor of letting the SDK handle the tool call and response cycle for reliability.

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