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Trace evaluations

Score uploaded traces with scorers and judges — recurring, on-demand, agentic.

Available in Stratix Premium. This surface is part of the logged-in workspace at stratix.layerlens.ai. Stratix Public users can browse the catalog but cannot use this feature.

A trace evaluation runs a scoring config (scorers + judges) over a trace set. Use trace evaluations for:

  • Pre- and post-deployment agentic evaluation — score a curated trace set before shipping

  • Continuous evaluation — score live production traces on a recurring schedule

  • Ad-hoc inspection — grade a recent batch you just ingested

What you can do

  • Create a trace evaluation against a trace set

  • Apply scorers and judges (any number, any combination)

  • Run on demand or on a recurring schedule

  • Browse past runs

  • Compare runs to a baseline

  • Get notified when scores cross thresholds

Creating a trace evaluation

  1. Pick the trace set — a saved set, a filter, or a single trace

  2. Pick the scoring config — scorers + judges

  3. Pick the schedule — one-off, daily, hourly

  4. Configure thresholds (optional) — alert when a dimension drops below X

  5. Run / save

Reading the results

Each trace evaluation result page shows:

  • Top-line score per dimension

  • Per-trace verdicts

  • Failed traces with span-level root-cause links

  • Score-over-time chart (for recurring runs)

  • Comparison to baseline (most recent prior successful run)

Pre-deploy vs continuous patterns

Pre-deploy: trace set is a curated test set. Run on a candidate change. Compare to last successful run.

Continuous: trace set is your production stream. Run on a schedule. Watch the trend.

Agentic evaluation

For pre- and post-deployment agentic evaluations, the trace evaluation is the runtime. The criteria mix natural-language assertions, deterministic rules, and judges into one config — see Concept: Agentic evaluation.

Where to next

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