How to control the log data volume of AI Agent

Yes, AI Agent log data volume can be effectively controlled through strategic configuration and management practices. This is essential for maintaining system performance and manageable storage costs.

Key methods involve configuring log verbosity levels (e.g., limiting DEBUG logs in production), implementing filtering rules to capture only relevant events like errors or critical interactions, and enabling log rotation with size/age limits. Aggregating similar events, sampling lower-priority logs, and defining clear log retention policies are also crucial. Always ensure sufficient detail remains for debugging and compliance.

Implementation steps start with auditing current logs to identify low-value data sources. Define explicit logging policies specifying required levels, event types, and data fields for each component. Configure the logging framework to apply verbosity settings, filters, and sampling. Set up robust log rotation and automated archival/deletion based on retention rules. Continuously monitor log volume and adjust strategies as needed, prioritizing critical operational and diagnostic needs.