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laya

receptron/laya

Run Laya System-1 decision model from Node.js via ONNX.

Infra / SDKs / Integrations30%Runner-up: Classification & RoutingQuestionnaire

What it is

A TypeScript client for Laya, an open-source Jev-compatible System-1 decision model by Convai Innovations. It lets Node.js developers get calibrated probabilities for choice, score, and noul questions on a given state without Python or PyTorch.

How it uses Jev

Jev makes decisions by taking a state (ticket, email, JSON) and typed questions (choice, score, noul). The result is returned in one forward pass with calibrated probabilities. In code, you call laya.systemOne(state, questions) and access answers like result.answers.department.choice or result.answers.churn_risk.noul.

Primitives:choicescorenoul

Technique worth stealing

Batching all questions of one systemOne call into a single ONNX forward pass for efficiency.

Try it

npm install @receptron/laya, then use Laya.load() and laya.systemOne().

View on GitHub

judged by Jevjev-1.13.0

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-centricyes0.91
  • Shows a System One patternyes0.83
  • Handles uncertaintyno0.04
  • Measuredno0.11
  • Runnableyes0.97
  • Worth recommendingno0.24
  • Model replicayes0.78
  • Problem scopescore on a 0–2 scale1.08
  • About Jevyes0.96

Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 22 Sept 2026.