AWS 发布基于 Amazon Bedrock AgentCore 的七层可插拔企业智能体参考架构
Pluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore
AWS 把企业智能体拆成七层，每层接口固定，换模型或换工具不用重写整栈。如果你的团队正在把智能体从 demo 推向生产，这份架构可以直接当设计蓝图用，比从零摸索省事。
AWS 在机器学习博客上发布了一套七层可组合的企业智能体 AI 参考架构，构建在 Amazon Bedrock AgentCore 之上，目标是解决企业从原型到生产的落地问题。架构的每一层都定义了稳定的契约接口，因此可以在任意一层替换技术选型，而不需要重新设计整个技术栈。这种分层解耦的设计让企业可以独立升级模型、编排逻辑、工具调用、记忆、安全或可观测性等组件，避免被单一供应商方案绑定。
对于正在搭建生产级智能体系统的工程团队来说，这份参考架构提供了一个可直接套用的分层框架，降低架构设计成本。
Pluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore
A seven-layer composable reference architecture for taking enterprise agentic AI from prototype to production on Amazon Bedrock AgentCore. Each layer has a stable contract, so you can swap technologies at any layer without redesigning the rest of the stack.
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Amazon Bedrock, AgentCore, AWS, 智能体.
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