基于 Strands Agents 的自适应智能体框架
原标题：Adaptive agentic intelligence framework using Strands Agents
AI 摘要
AWS 机器学习博客介绍了一种基于 Strands Agents 构建的自适应智能体智能框架（AAIF），该框架用小型语言模型（llama3.2:1b）作为编排层，将常规任务在本地通过 Ollama 处理，复杂任务则路由到 Amazon Bedrock 上的云端大模型。文章以物联网监控为参考场景，展示了该架构可运行于树莓派等边缘设备、纯云端或混合部署，旨在降低 API 成本、减少延迟并支持离线运行。
正文节选
Adaptive agentic intelligence framework using Strands Agents Organizations building AI agents face a common challenge: Every request, whether a routine status check or complex analysis, typically gets routed to a single large, expensive model. This one-size-fits-all approach can drive up API costs, introduce unpredictable latency, and remove the possibility of offline operation. Even routine queries that could resolve locally end up requiring a full network round-trip to a cloud-hosted large lan