生产级 AI 智能体的四层上下文工程：Deep Insight 代码实践
原标题：Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
AI 摘要
AWS Machine Learning Blog 介绍 Deep Insight 如何将上下文工程分为四层：多智能体架构隔离上下文、提示词控制输出、文件系统外化重内容、独立验证智能体兜底。Deep Insight 是基于 Strands Agents SDK 和 Amazon Bedrock AgentCore 的开源多智能体数据分析方案，其参考实现显示写执行工具可减少约 95% 的脚本上下文 token，按需加载技能可缩减约 97% 的系统提示词。文章旨在帮助生产级 AI 智能体应对 200K 上下文窗口在复杂任务中迅速耗尽的问题。
正文节选
Four layers of context engineering for production AI agents: How Deep Insight applies them in working code When production AI agents handle tasks such as data analysis and report generation, context management can become a major bottleneck. A 200K-token window sounds generous until a real-world task burns through most of it in minutes. Data analysis and report generation leave the agent failing mid-execution, losing accuracy, or driving up costs. A body of published guidance already addresses th