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Tokenomics at scale: Track and cap Amazon Bedrock spend per IAM principal with CUR 2.0 and AWS Budgets

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In short

Amazon Bedrock records identity details for every inference request, enabling granular cost visibility when paired with cost allocation tags. Administrators can review spend in AWS Cost Explorer or export CUR 2.0 data to Amazon S3 to run SQL queries via Amazon Athena. To enforce spending caps, teams can configure AWS Budgets to automatically apply a Deny IAM policy that terminates Bedrock access once predefined thresholds are breached.

Key points

  • Native AWS features allow organizations to monitor and restrict generative AI expenditure…: Native AWS features allow organizations to monitor and restrict generative AI expenditures without building custom code.
  • Session tags passed during role assumption provide granular attribution even when multipl…: Session tags passed during role assumption provide granular attribution even when multiple users share the same IAM role.
  • Implementation requires an AWS account with Bedrock access, appropriate tagging and billi…: Implementation requires an AWS account with Bedrock access, appropriate tagging and billing permissions, and AWS CLI access.

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Artificial Intelligence

Tokenomics at scale: Track and cap Amazon Bedrock spend per IAM principal with CUR 2.0 and AWS Budgets

Generative AI spend is hard to attribute. Before an organization expands AI access, CFOs and CTOs usually want three answers: what do we spend per person or per team, can we cap it, and how much work does it take to get there.

In our previous post, Tokenomics at Scale: How Jamf Built Real-Time Spend Enforcement for Amazon Bedrock, we explained a custom enforcement loop built on AWS IAM Identity Center, Amazon Athena over Amazon Bedrock model invocation logs, and AWS Lambda. This approach gives near-real-time control, but it requires code you then own and operate.

This post shows how to get per-identity Amazon Bedrock cost visibility and enforceable spend limits using only AWS-native features, with no application code to write for the common case. The approach relies on three things: IAM principal attribution, which Amazon Bedrock records automatically; AWS Cost and Usage Reports (CUR) 2.0 or AWS Cost Explorer for reporting; and AWS Budgets with budget actions for enforcement.…

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