As AI agents become more prevalent, securing their APIs is critical. This article presents a comprehensive approach to hardening FastAPI-based agent APIs, covering authentication with OAuth2 and JWT, role-based access control (RBAC), rate limiting to prevent abuse, and defenses against prompt injection attacks. It also details command whitelist sandboxing and API key rotation for production environments. These techniques are essential for developers deploying AI agents that interact with external systems, ensuring safe and reliable operation. The guide provides actionable code snippets and best practices, making it a valuable resource for backend engineers and security-focused developers.
A practical guide to securing FastAPI-based AI agent APIs with OAuth2+JWT, RBAC, rate limiting, prompt injection prevention, and command sandboxing.