精选理由
monday.com 用 Deep Agents 把 200+ 工具拆成小组，解决 LLM 被上下文污染搞晕的问题，成本降效果升，多工具场景必看。
monday.com 的一个智能体需要处理超过 200 个工具，导致严重的上下文污染，LLM 混乱且推理成本飙升。团队采用 Deep Agents 架构重建了产品 Sidekick，将工具分组管理以隔离上下文。重构后智能体决策准确率提升、延迟降低。详细方案在 YouTube 视频中由 @omribruchim 讲解。
原文 · LangChain
.@mondaydotcom had one agent trying to handle 200+ tools. Context pollution everywhere. The LLM ...
. @mondaydotcom had one agent trying to handle 200+ tools. Context pollution everywhere. The LLM was confused, costs rising, and it still wasn't working. @omribruchim on rebuilding Sidekick with Deep Agents: youtu.be/c2fLLS7np3Y Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 2 ❤️ 7 👀 2714 📊 3 ⚡