The tool records all API call history in detail, and complete cost analysis data can be obtained through the getLogs() method to help developers identify high-consumption operations. Its browser support function is especially adapted to Web-side AI application development, and cost monitoring can be realized on the front-end by introducing CDN scripts. The combination of logging system and notification mechanism forms a complete cost management closed loop from real-time monitoring to after-action analysis, providing data support for debugging and optimization.
This answer comes from the articleAgentGuard: A Tool for Monitoring AI Agent Costs in Real Time and Preventing OverspendingThe
May not be reproduced without permission:AI productivity tools " AgentGuard provides comprehensive logging and browser environment support.
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