📄 中文摘要
AI 代理在测试环境中表现出色，但在生产环境中却可能引发严重问题。实际案例显示，AI 代理可能会产生虚假的退款政策，导致公司损失大量资金，甚至因未测试的提示注入攻击而泄露客户数据。缺乏对这些事件的可见性使得问题更加复杂。随着越来越多的公司急于将 AI 代理投入生产，这些风险变得愈发普遍。文章列出了五种主要风险，强调了监控的重要性，以确保 AI 代理的安全和有效运行。
每个 AI 代理在生产中可能造成的 5 种风险及其监控方法
📄 English Summary
5 Risks Every AI Agent Can Cause in Production (and How to Monitor Them)
AI agents may perform excellently in staging environments but can lead to significant issues in production. Real incidents have shown that AI agents can hallucinate non-existent refund policies, resulting in substantial financial losses, and may leak customer data through untested prompt injection attacks. The lack of visibility into these events complicates the situation further. As more companies rush to deploy AI agents into production, these risks are becoming increasingly common. The article outlines five major risks and emphasizes the importance of monitoring to ensure the safe and effective operation of AI agents.