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

Mental model

The Stratix mental model — catalog, engine, judges, traces, and how data moves through the platform.

Stratix has five primitives. Once you have these, every feature is composition.

The five primitives

1. Model

A specific LLM (e.g., GPT-5.3, Claude Opus 4.6, Gemini 3.1 Pro). Stratix's catalog has 200+ public models plus your BYOK custom models.

2. Benchmark / dataset

A standardized input set + expected outputs. Public benchmarks (MMLU, HumanEval, GSM8K) live in the catalog; private datasets you upload live in your org.

3. Scorer

A code grader that takes (input, output, expected) and returns a verdict. Fast, cheap, exact. Use for objective dimensions.

4. Judge

An LLM that takes (input, output) and a rubric and returns a verdict. Slow, expensive, fuzzy. Use for subjective dimensions. GEPA-optimize against labels.

5. Trace

A record of an AI call (or a chain of calls): inputs, outputs, every span, latencies, costs, errors. The unit of "what did my AI actually do."

How they compose

A standard evaluation is (model, benchmark, scorers + judges) → results.

A trace evaluation is (trace_set, scorers + judges) → results.

An agentic evaluation is a trace evaluation where the criteria explicitly mix natural-language assertions, deterministic rules, and judges.

A comparison is N evaluations (each on the same benchmark, different models) viewed side-by-side.

A space is a saved evaluation configuration you re-run as conditions change.

The data plane

Both flows produce the same shape of result row: per-input verdicts that aggregate into top-line scores.

Where everything lives

  • Catalog stores models, benchmarks, public evaluations, public spaces (global, public)

  • Org-scoped storage stores private models, private benchmarks, private evaluations, judges, scorers, traces, spaces (one tenant per org)

  • Evaluation engine is shared infrastructure

  • ECU bills the compute consumed by the engine

Where to next

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