AWS 团队开源 Deep Insight：多智能体系统生产落地的五大挑战与解法
原标题：5 production challenges in multi-agent systems and how Deep Insight solved them
AI 摘要
AWS 解决方案架构团队构建了生产级多智能体系统 Deep Insight，用于将 CSV 数据与自然语言提示自动转化为带引用的分析报告。该系统由 Coordinator、Planner、Supervisor、Coder、Validator、Reporter、Tracker 等分层智能体协作完成分析、图表生成与校验。文章作为三篇系列的第一篇，总结了多智能体系统落地生产的五大挑战，并介绍了基于 Strands Agents SDK、Amazon Bedrock、AgentCore、ALB 和 Fargate 的技术栈及三种部署方式，且已在 GitHub 开源。
正文节选
5 production challenges in multi-agent systems and how Deep Insight solved them Building a multi-agent system is now pretty straightforward. Taking it to production is where the real challenges begin. Thanks to open source frameworks and cloud services, you can set up an agent in a matter of days. A few tool calls, a few lines of prompt, and you have something that looks impressive. But the moment teams try to move beyond a pilot and into real business applications, they hit a familiar wall. If