AWS 发布基于 Bedrock AgentCore 的七层可组合企业 Agentic AI 参考架构
原标题：Pluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore
AI 摘要
AWS 机器学习博客发布了一篇技术文章，介绍基于 Amazon Bedrock AgentCore 的“可插拔 Agentic AI 框架”，这是一个面向企业多智能体应用、分为七层的可组合参考架构。文章指出，多数 Agentic AI 项目卡在从原型到生产之间，问题不在模型本身，而在于每个团队都要重复搭建路由、护栏和可观测性等基础组件。该架构按数据与知识、模型与推理、编排、安全与护栏等分层，并给出各层职责与稳定契约，同时列举 Bedrock Knowledge Base、LiteLLM、MCP/A2A、Strands Agents 等参考实现组件。
正文节选
Pluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore “How do we run our AI agents in production at scale?” is the question every customer eventually asks. It comes bundled with several questions. How do we handle thousands of concurrent user requests securely and confidently? How do we make sure the agents stay reliable under real traffic instead of failing silently? How do we know if an agent still meets the quality an