aws-samples/sample-code-for-genai-cost-management-workshop

This repository is a hands-on AWS workshop, not a single application: users first explore ways to attribute generative-AI spend, then work through optimization techniques. The Track branch covers six Bedrock-native mechanisms and a LiteLLM option; the Optimize branch groups examples into low-, medium-, and high-effort tiers. The README also describes workshop infrastructure deployment and cost dashboards. Source excerpts contain no sample implementation code, so edges below reflect documented learning flow and capabilities rather than verified runtime calls.