Build a proactive AI cost management system for Amazon Bedrock – Part 1

This article discusses building a proactive AI cost management system for Amazon Bedrock, focusing on controlling token-based pricing and preventing unexpected expenses.

• Uses AWS Step Functions to create a serverless cost sentry mechanism
• Implements rate limiting workflow to check token usage against predefined budgets
• Supports model-specific and default token usage limits
• Leverages CloudWatch metrics for tracking token consumption
• Uses DynamoDB to store and manage budget configurations
• Provides proactive budgeting by enforcing limits before inference requests

The solution offers a comprehensive approach to managing generative AI costs by monitoring and controlling token usage across different Amazon Bedrock models, with potential cost savings of up to 90% using Step Functions Express workflows.