Use Laya from Node.js
You can run Laya inside a Node.js process with ONNX Runtime, or keep the model in a separate server and call it over HTTP. Both routes use the same state-plus-typed-questions request shape as the Python package and the Jev API.
378 projects
jev-demo
nadeem4
A demo site compares Jev and Laya playing games and includes benchmarks and agent experiments
dsh-decision-engine
LiuRJ99
A JavaScript decision runtime for DeepSeek Harness with Laya as its first provider
laya-s-dungeon
ValchanOficial
A tactical auto-battler that uses Laya through ONNX Runtime to choose actions each turn
system-one-poc
tonysprite
Integrates Laya-based typed decisions into DeepSeek Harness tool approvals and selection
laya_demo
Cokefish9527
Deploys Laya ONNX weights locally on CPU and serves decisions through an HTTP API
LAYA-RLCD
shyamsridhar123
Teaches RLCD and trains Laya pilots through a tactical game, lessons, and benchmarks
laya-node
roryyu
Provides a Node.js SDK for local Laya typed decisions using Transformers.js and ONNX
layaaimodel.com
anderson188
Provides static community documentation for the Laya System-1 decision model
dsh-laya
RestCode72
Adds Laya typed-decision tools and a service to DeepSeek Harness
laya-chrome
korbinjoe
Uses local Laya to perform constrained browser tasks in Chrome
laya-js
johnhenry
Runs Laya typed decisions in JavaScript across MLX, WebGPU and CPU backends
pi-laya
Dephilia
Routes prompts among model tiers and gates confidential prompts using a local Laya sidecar
poc-laya
MayukhCars24
Measures Laya classification latency with a FastAPI backend, web console, and observability tools
laya-ts
mikeboe
Serves the Laya model over an API and benchmarks it against the hosted Jev API
pi-laya
izhimu
Integrates local Laya decision-model guardrails and judging into pi and oh-my-pi
laya-retrieval
Sharjeelbaig
Selects evidence passages with Laya in an experimental two-stage retrieval system
laya-tetris-ai
Sharjeelbaig
Demonstrates Laya choosing Tetris placements from candidate board evaluations
laya-tetris-ai
htpu
Uses local Laya decisions to choose Tetris moves through a Chrome extension or Playwright bot
laya-system-one
italoalmeida0
Provides a local JavaScript Laya decision engine with WebGPU and WASM acceleration
jev-to-laya-proxy
diwakersurya
A Bun proxy exposes the TypeSafe Jev API and forwards requests to a local Laya server
nocturn-gateway
yigiterturk-dev
Provides TypeScript and Python clients for a gateway to Jev and Laya
simplotel-guest-concierge
Itachi-1824
A hotel guest assistant combines retrieval, Laya classification, and validated availability
usejev
ali-master
Serves Laya through native ONNX inference on Bun with a TypeSafe-compatible API and bilingual playground
ai-second-brain-lab
dante01yoon
Combines an Obsidian knowledge workflow, coding-assistant hooks, local Laya classification, and a 3D Markdown viewer
In-process: @receptron/laya
@receptron/laya runs the model with ONNX Runtime, so neither Python nor PyTorch is needed at runtime. It requires Node.js 20 or newer.
npm install @receptron/laya
import { Laya } from "@receptron/laya";
const laya = await Laya.load();
const result = await laya.systemOne(
{ subject: "Refund not received", body: "I cancelled two weeks ago and still have no refund..." },
{
department: {
type: "choice",
instructions: "Which team should handle this ticket?",
criteria: { billing: "payments, refunds, invoices", support: "product help and bugs", sales: "new purchases" },
},
churn_risk: { type: "noul", instructions: "Is the customer likely to cancel or dispute?" },
},
);
result.answers.department.choice; // "billing"
await laya.close();
Per its README, the fp32 ONNX weights are about 1.7 GB and download on first use. Budget roughly 2 GB of RAM. A three-question call takes about 140 ms on an Apple Silicon CPU once warm, and the output matches the Python implementation to four decimal places. The package is MIT-licensed; the weights are Apache 2.0.
Over HTTP: laya-studio
laya-studio is a zero-dependency TypeScript client for a running Laya server (Node.js 18.17+):
npm install laya-studio
pip install "laya[serve]"
laya-serve # binds 0.0.0.0:8000
Other JavaScript projects
- @r4ai/laya-web: ONNX Runtime Web runtime for browsers and Node.js.
- kevala: a Rust engine compiled to WebAssembly with WebGPU kernels, installable from npm.
- gg-friggin-ez: a profanity and toxicity screener that defaults to Jev and can point at a local Laya endpoint.
Caveats
The English checkpoint's options must fit a 192-token budget and the state is cut at 512 tokens. The receptron README recommends fewer than about 20 options per choice question.
More ways to use Laya