Building agentic workflows with SageMaker AI and Bedrock AgentCore
TL;DR
Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the model best suited to its job. This post also shows how to get token-level observability from SageMaker endpoints that Strands Agents does not instrument by default.
Nauti's Take
The interesting part is less the architecture than the cost logic: picking the right model per agent beats the one-model-for-everything approach on price. The catch is lock-in, since wiring AgentCore to SageMaker puts a team deep inside the AWS stack.
Shops already running on AWS get a solid blueprint here, everyone else should check portability first.
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