LangChain 开源了他们的内部工具，能自动帮你修好失败代理，不用手动翻日志排查了，效率提升明显。
LangChain 团队推出的 LangSmith Engine 是一个专为排查代理失败的智能体，能自动扫描失败案例、优先排序问题并草拟修复方案。在 Max Agency 播客中，创始人 Harrison Chase 和 Ben Tanny Hill 详解了架构决策，包括使用沙箱环境和创建子代理来执行特定任务。他们还讨论了如何为永不停机的代理构建评估体系（evals）这一挑战。该播客已在 YouTube、Apple Podcasts 和 Spotify 上线。
🎧A look at how we built LangSmith Engine with @hwchase17 + @bentannyhill
🎧A look at how we built LangSmith Engine with @hwchase17 + @bentannyhill Harrison Chase @hwchase17 Special episode with @bentannyhill on the Max Agency podcast. A month ago, his team shipped LangSmith Engine, our agent that hunts through your agent's failures, prioritizes issues, and drafts the fix. We dive into the architecture decisions -- from how we used sandboxes to how we created subagents. And we also discuss an interesting challenge -- how we were able to build evals for an agent that never stops running. Check out the full conversation ⤵️ ⏯️ YouTube: youtu.be/YqjR4vQwbTc?si… 🎧 Apple: podcasts.apple.com/nz/podcast/the… m 🟢 Spotify open.spotify.com/episode/5lT8hv… Vl Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 4 👀 1239 📊 1 ⚡