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jev-laya-decisionmodel

zhaojie911272507/jev-laya-decisionmodel

Learn Jev/Laya System One decision models through runnable Python examples.

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 runnable, debuggable Python teaching project for developers who want to understand Jev/Laya System One decision models and apply them as a Decision Layer in real Agent systems.

How it uses Jev

Jev/Laya answer typed closed questions (choice/score/noul) over a state, returning probability distributions and confidence. The project uses these to route tools, models, and workflows, and to gate guardrails, with results consumed via Answer.choice, probabilities, and confidence.

Primitives:choicescorenoul

Technique worth stealing

Design mutually exclusive option criteria in the DecisionSchema; overlapping options flatten the distribution and destroy confidence.

Try it

pip install -e ".[dev]" then PYTHONPATH=src python -m laya_demo.cases.case0_minimal

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 projectunclear0.46
  • Shows a System One patternnot found in the excerpt0.28
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersFound in material0.79
  • Is a runnable toolunclear0.55
  • Top-10 learning shortlist signalunclear0.56
  • Is a replica of the modelunclear0.54
  • Solves a common problem (0–2)score on a 0–2 scale0.60 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.46Shows a System One pattern0.28Describes handling uncertainty0.07Reports measured numbers0.79Is a runnable tool0.55Top-10 learning shortlist signal0.56Is a replica of the model0.5400.51Solves a common problem (0–2)0.60 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.99Funnel0.98Questionnaire0.97Grey zone0.94Ghostwriter0.87Fail open, fail closed0.62Prefetch0.49Flight recorder0.3700.51

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.