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Definition

The session duration test monitors the wall-clock duration of a session — first-turn timestamp to last-turn timestamp. Unlike Session latency, which aggregates per-turn processing time, session duration captures the user-facing end-to-end experience, including idle gaps between turns. No LLM evaluator is involved — it’s a deterministic aggregation.

Taxonomy

  • Task types: LLM.
  • Availability: and .
  • Evaluation level: session.
  • Computation: deterministic aggregation.

Why it matters

  • Session duration is the cleanest proxy for “time spent by a user with the assistant”. Comparing duration against goal achievement shows whether users who spend more time are getting more value.
  • Sudden shifts in duration distribution (longer sessions, flatter distribution) are often an early warning for regressions in assistant quality.

Available measurements

Units follow the timestamp column — typically seconds if openlayer_prediction_timestamp is epoch seconds.
MeasurementWhat it means
meanSessionDurationMean of per-session wall-clock durations (last-turn − first-turn)
medianSessionDurationMedian of per-session wall-clock durations
meanTimeBetweenTurnsMean idle gap between consecutive turns, averaged across all sessions
Sessions with only one turn are excluded from duration calculations — at least two timestamps are needed for a delta.

Required columns

  • Session ID: Groups turns belonging to the same conversation.
  • Timestamp: Per-trace timestamp, used to compute duration as the delta between first and last turn.

Test configuration examples