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jev-judge

00200200/jev-judge

YAML test runner for recorded LLM outputs using Jev decisions.

Evaluation & Benchmarking0.99Runner-up: Verification & GuardrailsFail open, fail closed
Automated README summary

Automatically summarized from the README on 28 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

jev-judge is a Python CLI and SDK that evaluates already-recorded LLM inputs, context, and outputs against declarative YAML/JSON assertions, producing terminal, JSON, JUnit, Markdown, GitHub annotation, and HTML reports for local development and CI.

How it uses Jev

Each assertion maps to a Jev decision: faithfulness, hallucination, and safety use Noul; relevance uses Score; Choice handles option selection. The runner sends supplied input, context, and output to a live TypeSafe client or the local mock, then records pass/fail and probability per decision.

Primitives:noulscorechoice

Technique worth stealing

Declarative YAML assertions mapped to typed Jev decisions, with an offline mock for trying the workflow without inference calls.

Try it

pip install jev-judge, then run jev-judge init and jev-judge test evals/ --mock.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.94
  • Shows a System One patternunclear0.48
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersunclear0.55
  • Is a runnable toolFound in material0.95
  • Top-10 learning shortlist signalunclear0.46
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.40 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.94Shows a System One pattern0.48Describes handling uncertainty0.04Reports measured numbers0.55Is a runnable tool0.95Top-10 learning shortlist signal0.46Is a replica of the model0.0300.51Solves a common problem (0–2)1.40 / 2012

no-judgment band (0.40–0.60)

Design patterns
Fail open, fail closed0.8100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 28 Oct 2026.