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.
329 projects
laya
receptron
Runs Laya typed-decision models from Node.js and TypeScript through ONNX Runtime
mu
qybaihe
Provides a coding agent with a judgment kernel that can use Laya as its local judge
chat-seek-vscode
fstandhartinger
A VS Code extension searches chat archives and uses Laya to rerank matches
laya-server
1Panel-dev
Self-hosts Laya decision models through an API and web interface compatible with Jev
laya-pilot
anthonyli
Generates and replays Excel browser tests using Playwright and local Laya decisions
laya-vs-jev-arena
PromptEngineer48
Pits locally run Laya against Jev in Snake and fighting games
laya-onnx
Mattepiu
Exports a fine-tuned Laya decision model to ONNX for Python and Node.js inference
laya-drift
pythongiant
Monitors opencode sessions for semantic drift using Laya typed-decision probes
jevcache
kushals256
Caches OpenAI-compatible chat responses using same-intent adjudication with Jev, Laya, or local compatible servers
open-jev-laya
killkli
Runs Laya multilingual ONNX inference in browser-based decision demos
fast-jev-compaction-laya
kaiyes
Compacts OpenCode context using decisions from a locally served Laya model
gg-friggin-ez
ItisShikhar
Screens Node.js text for profanity and toxicity using Jev and Laya System 1 models
dsh-laya
PerryLink
A Cordis plugin exposes Laya typed decisions as tools for DeepSeek Harness
layaForWorkflows
vishalmysore
Runs browser-based Laya decisions to automate branching workflows
laya-onnx
receptron
Exports Laya to ONNX for use with Node.js or ONNX Runtime
laya-decision-brain
kevinbadi
Provides a web lab for Laya decisions on survey data and a Snake game
laya-multilingual-ONNX
onnx-community
Provides an ONNX conversion of Laya multilingual for use with Transformers.js
Ollaya-Web-UI
samarkandiy
Provides a browser interface for deciding questions and managing models on an Ollaya server
kevin
gauravsaini
Runs a browser automation agent that uses Laya-ONNX to rank candidate actions
laya-web
r4ai
Runs Laya typed-decision models in browsers and Node.js using ONNX Runtime Web
auto-mode-for-paseo
obetomuniz
Routes Paseo messages to personas using TypeSafe Jev or a local Laya model
shed
IAmUnbounded
Provides remote access to desktop coding-agent sessions with local Laya-based routing
laya-router
marcreichel
Routes Claude Code sessions to a model based on a locally classified first prompt
open-jev-laya-multilingual-onnx
killkli
A browser-ready ONNX export of Laya multilingual for typed 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