EDUCATION & TRAINING
Building custom model provider for Strands Agents with LLMs hosted on SageMaker AI endpoints
AWS ML Blog
About This Tutorial
This post nstrates how to build custom model parsers for Strands agents when working with LLMs hosted on SageMaker that don't natively the Bedrock Messages API format. We'll walk through deploying Llama 3.1 with SGLang on SageMaker using awslabs/ml-container-creator, then implementing a custom parser to integrate it with Strands agents.