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@receptron/laya

A Node and TypeScript package that runs Convai's Laya checkpoint through ONNX Runtime, with the same system_one shape as the Python reference.

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Author
receptron
Added
2026-09-28
Last verified
2026-09-28

receptron/laya

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Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime

GitHub stars
520
Forks
46
Primary language
TypeScript
License
mit
Last pushed
Updated Sep 2026

Repo stats from the GitHub API, cached Sep 2026.

Highlights

  • Requires Node.js 20 or newer. PyTorch is not needed at runtime.
  • ONNX weights are about 1.7 GB and cache under ~/.cache/receptron-laya.
  • The README says answers match the Python implementation to four decimal places.
  • Three questions in one systemOne call take about 140 ms on a warm Apple-silicon CPU.
  • State truncates at 512 tokens on the English checkpoint, and about 20 choice options is the model's own recommendation.

Quickstart

ts
import { Laya } from "@receptron/laya";

const laya = await Laya.load();
const result = await laya.systemOne(
  { subject: "Refund not received" },
  { churn_risk: { type: "noul", instructions: "Is the customer likely to cancel?" } },
);

Watch out

MIT for the package. Laya weights are Apache-2.0 from Convai Innovations. This is the Node runtime, separate from the Python Laya training repo.

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From the guides

Original write-ups that draw on this entry.

A base URL is the whole client change. What still works when Ollaya, Lichen, verdict, Rizzo Flow, or jevos answers POST /v1/systemone on your machine.
Models & Reimplementations#open-models#local#api
Read article
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