---
format: "aidr-story-markdown/v1"
id: "5118e84111e9ed9f3b243dc0a7e2cad7143b1da886e4f9d04cd41b4f3c5e2bd9"
canonical_url: "https://aidr.today/5118e841?lang=en"
title: "Cost attribution and controls for AI developer and productivity tools on Amazon Bedrock"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-13T18:44:02.000Z"
category: "Tools"
topics: ["amazon","inference","devtools"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/cost-attribution-and-controls-for-ai-developer-and-productivity-tools-on-amazon-bedrock/"]
summary: "Amazon Bedrock provides built-in, zero-instrumentation cost attribution that traces every inference call back to the IAM principal that made it. Per-user Bedrock costs can be attributed using IAM Identity Center, session tags, and CUR 2.0. This method also allows for enforcing per-user usage limits."
---

# Cost attribution and controls for AI developer and productivity tools on Amazon Bedrock

> [Open the canonical story](<https://aidr.today/5118e841?lang=en>)

**Published:** 2026-11-13T18:44:02.000Z
**Category:** Tools
**Topics:** amazon, inference, devtools

## Summary

Amazon Bedrock provides built\-in, zero\-instrumentation cost attribution that traces every inference call back to the IAM principal that made it\. Per\-user Bedrock costs can be attributed using IAM Identity Center, session tags, and CUR 2\.0\. This method also allows for enforcing per\-user usage limits\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/cost-attribution-and-controls-for-ai-developer-and-productivity-tools-on-amazon-bedrock/>)