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openai-decisions-vs-jev-vs-laya

mateusfonsek/openai-decisions-vs-jev-vs-laya

Benchmark of decision models in Portuguese: OpenAI vs Jev vs Laya.

Classification & Routing0.43Runner-up: Evaluation & Benchmarking
Automated README summary

Automatically summarized from the README on 8 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An independent benchmark comparing three decision models (OpenAI Decisions API, Jev by TypeSafe, and Laya) on three AI engineering tasks in Portuguese: agent routing, prompt injection detection, and LLM-as-judge scoring.

How it uses Jev

Jev answers closed questions (tool choice, injection yes/no, score 1–5) given the same prompts as other providers. Its returned probabilities are used to compute accuracy, F1, AUROC, ECE, and cost. The README reports Jev's results but does not show integration code.

Primitives:choicescore

Technique worth stealing

Rotating option order to mitigate position bias, as tested with Laya.

Try it

uv sync --extra laya; cp .env.example .env; uv run bench run --provider jev

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 projectnot found in the excerpt0.05
  • Shows a System One patternnot found in the excerpt0.36
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.39
  • Is a runnable toolnot found in the excerpt0.06
  • Top-10 learning shortlist signalnot found in the excerpt0.27
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.69 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.05Shows a System One pattern0.36Describes handling uncertainty0.04Reports measured numbers0.39Is a runnable tool0.06Top-10 learning shortlist signal0.27Is a replica of the model0.0400.51Solves a common problem (0–2)1.69 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.4200.51

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 8 Oct 2026.