Whyrail Logs
Capture every prompt, retrieval step, model call, tool action, API response, and user event in one structured timeline.
End-to-end tracesSession timelinesCost and latency metadataProduct overview
One reliability layer for production AI workflows.
Whyrail connects logs, quality signals, and debugging workflows so teams can understand what happened, whether it worked, and what to fix next.
Product overview
Trace
Quality
Debug
Whyrail Quality
Track groundedness, relevance, safety, latency, cost, and user outcomes across production traces and test datasets.
Evaluation scoresReview queuesRegression datasetsWhyrail Debug
Replay failing workflows, compare versions, inspect tool calls, and find the step where quality broke.
Workflow replayVersion comparisonFailure clustering