# Build Strands Agents with SageMaker AI models and MLflow

Canonical URL: https://www.traeai.com/articles/d4b67648-97a5-4a5f-bd2b-c6742aa85ee3
Original source: https://aws.amazon.com/blogs/machine-learning/build-strands-agents-with-sagemaker-ai-models-and-mlflow/
Source name: AWS Machine Learning Blog
Content type: article
Language: 英文
Score: 8.5
Reading time: 14 分钟
Published: 2026-04-27T16:50:41+00:00
Tags: AWS, SageMaker, AI, MLflow

## Summary

文章介绍如何使用 SageMaker AI 和 MLflow 构建可控制基础设施的 AI 代理，涵盖模型部署、集成、可观测性和 A/B 测试。

## Key Takeaways

- SageMaker AI 提供对计算资源和网络配置的完全控制，适合有严格需求的企业。
- Strands Agents SDK 可快速构建从简单到复杂的 AI 代理，并支持多种工具集成。
- 通过 SageMaker MLflow 实现生产级可观测性及多模型变体的性能评估。

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