openpave-jev

The README opens with

Ask non-autoregressive decision models for typed answers with calibrated probabilities: classify, route, score and gate without an LLM round-trip.

A decision model ("System One" architecture, Jev-style) doesn't generate text. You hand it a state and typed questions, and it returns a distribution over a fixed answer space — in ~35–500 ms, at ~1000x lower cost than an LLM call, with probabilities you can gate on.

Type Meaning Answer Use ---- ------- ------ --- choice pick one of N options { choice, probabilities } routing, classification, triage score level on an ordered rubric { score, probabilities, choice } severity, priority, quality noul calibrated yes/no { noul: P(true) } gating, filtering, approval