📄 中文摘要
在调试一个代理管道时，发现其并没有真正的错误，但返回的结果却完全错误。传统 API 调用的失败通常会通过错误代码或异常被捕获，而 LLM（大语言模型）则不同，它们可能会在没有任何警告的情况下返回错误的结果。这种静默失败的模式在使用 LLM 时非常常见，且往往难以察觉。开发者需要意识到这一点，以便在构建基于 LLM 的系统时采取必要的监控和修复措施，以确保系统的可靠性和准确性。
为何 AI 代理静默失败 — 以及如何修复它
出处: Why AI Agents Fail Silently — And How to Fix It
发布: 2026年3月28日
📄 English Summary
Why AI Agents Fail Silently — And How to Fix It
Debugging an agent pipeline revealed that it returned a completely wrong response without any errors or exceptions. Unlike traditional API calls that provide clear failure signals through error codes or exceptions, LLMs can silently fail by returning incorrect results while appearing to function correctly. This silent failure mode is common when working with LLMs and can be difficult to detect. Developers need to recognize this issue to implement necessary monitoring and corrective measures when building LLM-based systems to ensure reliability and accuracy.