AWS Machine Learning Blog· Aamna Najmi·· 19 hr agoAI score38
Cost attribution and controls for AI developer and productivity tools on Amazon Bedrock
Cost attribution and controls for AI developer and productivity tools on Amazon Bedrock
AI summary
Amazon Bedrock records the IAM principal behind every inference call and publishes it to CUR 2.0 and Cost Explorer, so per-user and per-team spend can be queried without instrumenting individual tools. The post walks through configuring IAM Identity Center with an external IdP, session tags, a Bedrock permission set, tool configuration for Claude Code, Claude Desktop, Codex and ChatGPT Work, and Athena queries, then compares usage controls from AWS Budgets to gateway-level enforcement.
Source: AWS Machine Learning Blog · aws.amazon.com