What it is
A Swift package for typed decisions from language models. It provides yes-or-no probabilities, choices among options, and scores on ordinal scales, with two backends: a local MLX model on Apple silicon and TypeSafe's Jev API.
How it uses Jev
JevDecisionModel sends each batch of questions to POST /v1/systemone. The session holds one immutable state (text or JSON). Questions are independent. Results are typed: binary probability as Double, Choice with value and distribution, Score with expected level and distribution.
Primitives:choicescorenoul
Technique worth stealing
Use rotation debiasing to average probabilities over all option orderings, reducing position bias in choices.
Try it
Add the package with the MLX trait, create a DecisionSession, and call probability, choice, or score.
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricno0.13
- Shows a System One patternno0.20
- Handles uncertaintyno0.05
- Measuredno0.06
- Runnableyes0.96
- Worth recommendingno0.35
- Model replicano0.07
- Problem scopescore on a 0–2 scale1.10
- About Jevyes0.97
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 22 Sept 2026.