OpenJev

Where it calls Jev

These models mirror the request / response shape of TypeSafe's ``POST /v1/systemone``

src/openjev/core/primitives.py:3

The link points at the commit we read, so the line number still holds.

What it asks Jev

These question sets are lifted from this project's source exactly as written.

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    department: { type: 'choice', instructions: 'Which team should handle this',
      criteria: { billing: 'Payment or subscription issues', technical: 'Bugs or integration problems', sales: 'Pricing or account questions' } },
    frustration: { type: 'score', instructions: 'How frustrated the customer appears',
      criteria: ['Calm, just stating facts', 'Frustrated but civil', 'Very angry, strong language'] },
    is_urgent: { type: 'boolean', instructions: 'The message conveys urgency or time-sensitivity' },
  },
});

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    urgent: { type: 'boolean', instructions: 'Is this urgent?' },
  },
});

Other projects in this category

• NanoJev ▶ — A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
• kev ▶ — tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook
• reflex ▶ — A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
• von ▶ — The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
• OpenDecision ▶ — OpenDecision is an open-source semantic decision engine like typesafe's jev.
• jev_local ▶ — Replicating Jev with a local LLM
• diffusiongemma-jev-macos ▶ — Local JEV-style decisions with DiffusionGemma on Apple Silicon, with benchmarks and coding-agent examples.
• visual-jev ▶ — Image-native typed decisions with shared visual encoding and Qwen3-VL