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.
141 projects
laya
receptron
Runs Laya typed-decision models from Node.js and TypeScript through ONNX Runtime
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-drift
pythongiant
Monitors opencode sessions for semantic drift using Laya typed-decision probes
laya-onnx
Mattepiu
Exports a fine-tuned Laya decision model to ONNX for Python and Node.js inference
open-jev-laya
killkli
Runs Laya multilingual ONNX inference in browser-based decision demos
gg-friggin-ez
ItisShikhar
Screens Node.js text for profanity and toxicity using Jev and Laya System 1 models
fast-jev-compaction-laya
kaiyes
Compacts OpenCode context using decisions from a locally served Laya model
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-decision-brain
kevinbadi
Provides a web lab for Laya decisions on survey data and a Snake game
laya-web
r4ai
Runs Laya typed-decision models in browsers and Node.js using ONNX Runtime Web
laya-onnx
receptron
Exports Laya to ONNX for use with Node.js or ONNX Runtime
laya-sdk
ryuzcorp
Provides a TypeScript SDK for running cached Laya decision models locally in browsers and Node
laya-portable
MatteoGauthier
Exports Laya to ONNX and provides JavaScript runtimes for Node.js and browser inference
auto-mode-for-paseo
obetomuniz
Routes Paseo messages to personas using TypeSafe Jev or a local Laya model
laya-search
giaphutran12
Searches YC companies using local Laya inference or the TypeSafe Jev API
stuntdouble
ReallyArtificial
Proxies Jev requests to local decision models and compares their answers on recorded traffic
pi-pignon
siiick
A Pi coding-agent extension routes prompts by difficulty using local Laya or hosted Jev
openpave-jev
cnrai
Provides typed-decision commands for PAVE and Claude with local Laya and hosted Jev providers
open-jev-laya-multilingual-onnx
killkli
A browser-ready ONNX export of Laya multilingual for typed decisions
laya-jev
KonghaYao
Runs local Laya inference and exposes Jev-compatible HTTP endpoints
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