I Broke an AI Agent with one line — Here's How to Stop It скачать в хорошем качестве

I Broke an AI Agent with one line — Here's How to Stop It

Every AI agent tutorial teaches you to call tools. None of them tell you what happens when the tool call is a lie. I built a PydanticAI security agent that scans Python dependencies for CVEs. Then I broke it — with 6 words hidden in a requirements.txt comment. The agent reported a critical vulnerability as "SAFE" and tried to exfiltrate data to an external server. The root cause? `dict[str, Any]` return types. The LLM can return literally anything, and nothing validates it. The fix isn't prompt engineering. It's type safety at the architecture layer: → Input validation with regex constraints → Output schemas with Literal["CRITICAL", "HIGH", "MEDIUM", "LOW", "NONE"] → Pydantic's deterministic validation — no LLM involved This is Episode 1 of Zero Trust Agents, a series on hardening AI agents for production. #AIAgents #PydanticAI #PromptInjection #TypeSafety #AIEngineering #Python