LangChain公开内部智能体评估流程：统一采用Harbor
精选理由
Harrison Chase讲了他们内部怎么测智能体，就是统一用Harbor，还能把日志变成评测任务。做智能体评测的可以参考这套流程。
LangChain创始人Harrison Chase在X上分享了内部智能体评估的通用方法。他们以Harbor为统一评估基准，并通过专用skill将traces或原始数据转换为Harbor任务。该评估思路计划沿用到LangChain后续的基准测试中。相关帖子获得了1332次浏览。
原文 · Harrison Chase
sharing more about how we evaluate different agents we build internally common themes (from this and future benchmarks): - standardize on harbor - skill for going from traces/raw data to harbor tasks LangChain @LangChain x.com/i/article/2083… 🔗 View Quoted Tweet 💬 2 🔄 2 ❤️ 12 👀 1332 📊 4 ⚡
