agent-session-monitor

You can monitor Higress access logs for token costs by aggregating multi-turn conversations into session-centric histories with real-time incremental parsing. This provides model-aware pricing analytics and per-session web visualization for FinOps reporting.

Grouping multi-turn AI conversations from access logs requires session-centric aggregation with inode-based progress tracking. This ensures state persistence across log rotations, maintaining continuous conversation histories for accurate cost reporting.

Log rotation does not disrupt real-time session tracking in Higress because the monitoring system uses inode-based progress tracking. This mechanism maintains state persistence, allowing incremental parsing to continue seamlessly across rotated log files.

Yes, you can visualize per-session token usage and costs through a lightweight web UI with local data storage. This provides per-session drill-down capabilities and generates cost reporting for FinOps analysis without requiring external databases.

Yes, Higress session monitoring supports model-aware pricing for FinOps reporting by applying specific pricing calculations during log aggregation. This enables accurate token-cost analytics, helping you optimize token usage and debug AI workflows.