Deep Insight 分享生产级智能体的四层上下文工程框架
Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
如果你在搭生产环境的 Agent，这篇讲怎么管上下文的文章很实用，四层框架配 Deep Insight 的开源代码，可以直接抄作业。
AWS 机器学习博客介绍了四层上下文工程框架：架构设计、提示词、基于文件的工具和验证智能体。该框架由开源多智能体数据分析方案 Deep Insight 落地实现。Deep Insight 构建在 Strands Agents SDK 和 Amazon Bedrock AgentCore 之上，并附有可运行的代码示例。文章的核心观点是：在生产环境中，上下文管理才是智能体的真正瓶颈。
Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an open source multi-agent data analysis solution on the Strands Agents SDK and Amazon Bedrock AgentCore.
