jevbooks

← All projects

vev

Xiaooolong/vev · Homepage

Jev-like decision models that can also see images.

Agent Decisions0.68Runner-up: Game & SimulationQuestionnaireCheck-up
Automated README summary

Automatically summarized from the README on 6 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Vev is an open-source implementation of Jev-like decision models that accept text and images. It serves the /v1/systemone API, returning calibrated probabilities for Choice, Score, and Noul questions. Weights are CC BY-NC 4.0 for non-commercial use.

How it uses Jev

Vev answers typed questions (Choice, Score, Noul) about a state that can include text, JSON, or images. The state and questions are sent to the /v1/systemone endpoint, and the response contains probabilities for each allowed answer. These probabilities can be used directly in code, for example to trigger actions or set thresholds.

Primitives:choicescorenoul

Technique worth stealing

Batch all questions of a request into one forward pass to get probabilities for all answers in about 40 ms.

Try it

pip install git+https://github.com/Xiaooolong/vev then vev serve --model CountingSheep/vev-4b

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 material0.94
  • Shows a System One patternFound in material0.96
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersFound in material0.84
  • Is a runnable toolFound in material0.85
  • Top-10 learning shortlist signalunclear0.51
  • Is a replica of the modelFound in material0.97
  • Solves a common problem (0–2)score on a 0–2 scale0.62 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.94Shows a System One pattern0.96Describes handling uncertainty0.05Reports measured numbers0.84Is a runnable tool0.85Top-10 learning shortlist signal0.51Is a replica of the model0.9700.51Solves a common problem (0–2)0.62 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Check-up0.95Scorecard0.4900.51

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 6 Oct 2026.