在AI智能体（AI Agent）的开发浪潮中，许多团队正面临一个共同的困境：“修复一个问题，却引发三个更隐蔽的Bug”。这种“按下葫芦浮起瓢”的现象，本质上是缺乏系统化评估体系导致的开发失控——团队像在迷雾中驾驶飞机，只能依靠“肉眼观察”和“事后补救”，无法预判风险，更难以自信地推进迭代。

为此，今天要给大家介绍一款谷歌的开源项目LangExtract，不仅是一个工具，更是一套面向真实场景的 信息抽取解决方案，无需微调模型，根据用户定义的指令和示例，即可在复杂文档中稳定提取所需信息，并确保每一条结果都能回溯到原文位置。该项目在Github已经收获19.8K的Star。

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