AWS details zero-instrumentation per-user cost attribution for Claude Code and other AI tools on Bedrock
AWS ML Blog · rss · 2026-11-14
AWS ML Blog published a FinOps guide on using Amazon Bedrock's built-in, zero-instrumentation cost attribution to trace every inference call back to the IAM principal, answering: real per-user cost, which teams spend most and whether spend correlates with value, and how budgets should scale.
Key points:
- Bedrock records the caller's full IAM ARN at the endpoint layer (bedrock-runtime / bedrock-mantle) into CUR 2.0's lineitemiamprincipal column, with zero API changes
- IAM Identity Center + external IdP (Okta/Entra ID/Ping) with SCIM makes each developer's session name their sign-in name, splitting spend per user
- Session tags (team, cost center) add organizational dimensions filterable in Cost Explorer
- Athena queries and dashboards provide ongoing visibility; Bedrock usage controls enforce spend limits
- Works uniformly for Claude Code, Claude Desktop, Codex, ChatGPT Work, and OpenCode; Claude enterprise editions expose per-user usage natively via Anthropic's admin console
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