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-laya-cube-arena
189-sketch
Compares Jev and local Laya on Rubik’s cube next-move decisions
TALK---A-Decision-Making-Model-Leveraging-Laya-and-Jev-
navzar81-dev
Provides a voice-first decision app combining Laya with cloud LLM research and document grounding
canvastty-plugin-assistant
BIackFIame
Adds a CanvasTTY assistant for command review, task triage, and orchestration advice
pi-context-gc
Lausi-h2ai
Archives old tool outputs for Pi coding agents and evaluates retention policies with local judges
system-one-playground
goodboybeau
A macOS playground comparing Laya, Decider, Kev and Jev on accuracy, calibration and performance
s1cap
Jaffe2718
Uses System-1 decision models to manage agent context recall and rank candidate plans
classificacao-msg-streams
Joao-V-A-Braga
Classifies new YouTube live-chat and Instagram post messages with Laya in a real-time dashboard
laya-multilingual-webapp
realizer-1966
Runs the multilingual Laya decision engine as a browser PWA using ONNX Runtime Web
laya-gui
f95f
Provides a local chat interface for making decisions with the Laya model
laya-router
suradisworkspace
Routes Claude Code turns between model tiers using a local Laya classifier
laya-lab
InfiniteXyy
A playground demonstrates Laya-powered routing, browser tests, and semantic log filtering
Laya-model-router
MikkelCardon
Routes prompts to Claude models by task type using Laya classification
laya-first-try
diemrt
Finds and ranks local files with Laya, with CPU and OpenVINO inference options
laya-repo-radar
kks007-dev
Classifies local Git repositories by lifecycle stage using the Laya decision model
laya-local-serve
yyong-brs
Runs Laya locally with Python, TypeScript, and integrations for serving and decision workflows
laya-on-aws-lambda
gunnargrosch
Deploys Laya as a Jev-compatible decision API on AWS Lambda using TypeScript or Python
jev-laya-form-builder
slamer59
Builds forms by letting hosted Jev or local Laya choose suitable input components
testing_arena_jev_vs_laya
Shadowsweep
Compares Jev and Laya in an automated security attack-detection and defense system
elevator-decision-arena
CircleCI-Research
Benchmarks Jev, Laya, and classic algorithms for simulated elevator dispatch decisions
jev-labs
valdepeace
A TypeScript harness compares Jev, Kev and Laya typed-decision engines and publishes experiment results
decide.js
asertyui1
Provides a typed SDK and CLI for routing decisions across Jev, Laya, local models, and offline heuristics
laya-studio
ewrogers
Provides a local web workspace and Jev-compatible API for trying Laya decisions
laya-project
wjesus374
A local Laya decision service with a FastAPI backend, SQLite storage and React dashboard
@molecule/api-ai-decisions-laya
vialoh
Connects molecule.dev to a self-hosted Laya model for typed choice, score and yes/no decisions
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