In terms of data handling, AgentGuard can automatically block sensitive information when the privacy parameter is set to true, ensuring that no private data is exposed in logs and protection alerts. It also supports dynamic adjustment of configuration parameters at runtime, including modifying the budget limit via the setLimit() method and adjusting settings such as protection mode. This flexibility enables developers to respond instantly to changes in task priorities, such as temporarily increasing the budget during mission-critical phases or applying stricter protections during testing phases.
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 is privacy-protected and dynamically adapts to different task requirements.
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