想了解怎么给跑不停的AI Agent做自动调试和评估？LangChain团队把内部架构和沙箱用法全讲透了，适合做代理工程的人听。
Harrison Chase 与 Ben Tanny Hill 在 Max Agency 播客中详解一个月前发布的 LangSmith Engine，该代理能自动扫描其他代理的失败案例、按优先级排序并生成修复草案。团队分享了如何使用沙箱隔离子代理、创建多个子代理协作的架构设计，以及如何为永不停止运行的代理构建持续评估系统。这些方法直接解决了代理在生产环境中的可观察性与自愈难题。
Special episode with @bentannyhill on the Max Agency podcast. A month ago, his team shipped LangSmi...
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 💬 1 🔄 1 ❤️ 7 👀 1485 📊 3 ⚡