For the complete documentation index, see llms.txt. This page is also available as Markdown.

Agent Evaluation

The Stratix Premium Agent Evaluation surface — Traces, Judges, and Trace Evaluations.

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.

The Agent Evaluation section in the Premium left rail bundles three surfaces:

  • Traces — upload, browse, and inspect agent traces

  • Judges — build and manage LLM-as-a-judge graders

  • Trace evaluations — score traces with scorers and judges

These three surfaces compose the full agentic-evaluation workflow.

What's an agent trace

A trace is a record of an AI call (or chain of calls): inputs, outputs, every tool call, every span, latencies, costs, errors. Stratix's trace pipeline ingests trace JSON and stores it for inspection and evaluation.

The three surfaces

Traces

Inspect individual traces. See Traces.

Judges

Build LLM judges for subjective dimensions. See Judges.

Trace evaluations

Run a scoring config (scorers + judges) over a trace set. See Trace evaluations.

How they combine for agentic evaluation

A complete agentic evaluation:

  1. Capture trace set — upload representative traces (or stream them from your application)

  2. Define criteria — natural-language assertions, deterministic rules, LLM judges

  3. Run trace evaluation — Stratix grades every trace against every criterion

  4. Read verdict + root-cause — failure tied back to the trace, span, and decision

Where to next

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