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jev-guardbench

dfranco-projects/jev-guardbench

Testing TypeSafe Jev as a fast, cheap LLM-as-judge replacement in agent guardrails.

Evaluation & Benchmarking0.58Runner-up: Verification & GuardrailsFunnelCheck-up
Automated README summary

Automatically summarized from the README on 4 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A benchmark for AI agent developers comparing TypeSafe Jev against Gemini Flash and Claude Haiku judges on PII, prompt injection, and harmful content checks across 7,925 public dataset rows.

How it uses Jev

Jev returns a probability for each policy check; the benchmark compares this probability against tuned thresholds to decide ALLOW or BLOCK. The `jev-decomposed` variant splits each policy into smaller yes/no questions. Results feed F1, FPR, AUROC, ECE, and latency metrics.

Primitives:score

Technique worth stealing

Pre-registering hypotheses and tuning thresholds on one split while scoring on another for fair comparison.

Try it

uv sync && uv run pytest; then freeze, run, and report with configs/full.yaml.

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-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

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 material0.80
  • Shows a System One patternunclear0.44
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersFound in material0.85
  • Is a runnable toolnot found in the excerpt0.09
  • Top-10 learning shortlist signalnot found in the excerpt0.36
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.77 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.80Shows a System One pattern0.44Describes handling uncertainty0.05Reports measured numbers0.85Is a runnable tool0.09Top-10 learning shortlist signal0.36Is a replica of the model0.0800.51Solves a common problem (0–2)1.77 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.86Funnel0.85Question bank0.51Grey zone0.38Traffic light0.27Flight recorder0.2400.51

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 4 Oct 2026.