Amazon· Bedrock / Nova

Building agentic workflows with SageMaker AI and Bedrock AgentCore

A common challenge in building agentic workflows is mixing managed foundation models (FMs) with your own cost-optimized or domain-specific models, without rewriting your agent framework to do it. In this post, we show you how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime, a capability of Amazon Bedrock AgentCore, and its managed deployment. Specialized agents can collaborate on complex tasks while each uses the model best suited to its job. This combination gives you cost optimization, data residency, and model flexibility in a single production-ready architecture. We walk through deploying Qwen 3.5 9B on Amazon SageMaker AI, integrating it into a Strands Agents multi-agent system alongside models on Amazon Bedrock , and shipping the entire workflow to Amazon Bedrock AgentCore runtime. The focus is on the integration mechanics including how to get token-level observability from SageMaker endpoints, which Strands doesn’t provide by default. Solution overview …

Announced

14 Aug 2026 15:58 UTC