Cost attribution and controls for AI developer and productivity tools on Amazon Bedrock | Amazon Web Services
Amazon Bedrock provides built-in, zero-instrumentation cost attribution that traces every inference call back to the IAM principal that made it. The identity flows along with organizational tags, into AWS Cost and Usage Reports (CUR 2.0) and AWS Cost Explorer while keeping data inside the AWS security boundary. This post shows you how to use these capabilities to answer three questions that every FinOps and AI Platform leader asks as AI tool adoption scales: What is the real per-user cost? Which teams generate the most spend, and does that spend correlate with the value they deliver? How should next year’s budget scale with headcount and adoption?
The approach works identically regardless of which AI coding or productivity tool makes the call. Claude Code, Claude Desktop, OpenAI Codex, ChatGPT Work, and OpenCode all invoke Amazon Bedrock through one of two inference endpoints: bedrock-runtime or bedrock-mantle, and Bedrock’s attribution mechanism operates at the...
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