Hosted Laya API

Laya is open weights, so you can always run it yourself. A hosted API makes sense when you do not want to run and patch a model server, when your traffic is small or spiky, or when you want to compare Laya with other decision models before committing. This page lists the options and what to check.

419 projects

laya-local-serve

yyong-brs

Runs Laya locally with Python, TypeScript, and integrations for serving and decision workflows

0·GitHub repo

laya-on-aws-lambda

gunnargrosch

Deploys Laya as a Jev-compatible decision API on AWS Lambda using TypeScript or Python

0·GitHub repo

jev-laya-form-builder

slamer59

Builds forms by letting hosted Jev or local Laya choose suitable input components

0·GitHub repo

decide.js

asertyui1

Provides a typed SDK and CLI for routing decisions across Jev, Laya, local models, and offline heuristics

0·GitHub repo

laya-studio

ewrogers

Provides a local web workspace and Jev-compatible API for trying Laya decisions

0·GitHub repo

laya-project

wjesus374

A local Laya decision service with a FastAPI backend, SQLite storage and React dashboard

0·GitHub repo
V

@molecule/api-ai-decisions-laya

vialoh

Connects molecule.dev to a self-hosted Laya model for typed choice, score and yes/no decisions

0·npm package
V

@molecule/api-ai-decisions

vialoh

Defines a provider interface for typed AI decisions, with Laya as a supported backend

0·npm package
B

@banh-dev/laya

banh-kevin

Native Laya ONNX inference package for the Banh workflow CLI

0·npm package
M

laya-api

MIYA2024

Serves a multilingual Laya typed-decision API on ZeroGPU

0·HF Space

laya-js

desplega-ai

A TypeScript runtime and Hono server load ONNX Laya checkpoints and answer typed decision questions

0·GitHub repo

spring-laya

pgovindraj

Tracks planned Spring support for the Laya model in spring-ai-typesafe

0·GitHub repo

layaas-oci

acedergren

Deploys a pinned multilingual Laya decision API as a private CPU service on Oracle Cloud

0·GitHub repo

laya-api

gugaucb

Serves Laya and Laya-MLX models through OpenAI- and Anthropic-compatible APIs

0·GitHub repo

laya-playground

adyoi

Provides a FastAPI playground for Laya typed decisions with redaction and guardrails

0·GitHub repo

laya-system-one-client

kyawzawwin88

Chrome extension for sending Laya decision requests and viewing typed responses

0·GitHub repo

litellm-laya-demo

amkhrjee

Routes LiteLLM requests by complexity scores produced by Laya

0·GitHub repo

sys1rust

kgarg2468

A Rust and MLX service runs Laya decision models locally and exposes the System 1 API

0·GitHub repo

docker-ai-router

Gio53

OpenAI-compatible proxy that uses Laya difficulty scores to route requests between two LLM APIs

0·GitHub repo
D

laya-fontaneros

doiranbl

Runs Laya's official HTTP server for typed decisions in a Docker space

0·HF Space
B

trick-laya

beginbotbot

Serves Laya through an API compatible with TypeSafe Jev system-one requests

0·HF Space

laya-hybrid-harness

Ra77Data

Runs a local Laya decision model and delegates uncertain cases to a cloud service

0·GitHub repo

wagtail-laya

ottoreimers

Adds Wagtail editor buttons for Laya-based page tagging and rating

0·GitHub repo

laya-ggml

liujp

Implements a C inference engine and HTTP service for the Laya decision model

0·GitHub repo

Disclosure: layahost is run by the same team as laya.tools. It is listed first for that reason, not as a ranking.

Self-host or hosted?

Self-hosting is the better fit when text must not leave your machines, when volume is high and steady so that your own hardware is cheapest per call, or when you need on-device latency. The API servers page covers laya-serve, ollaya, Docker and native servers, and the run-locally guide covers Python, Mac, Node.js and CPU setups.

Check the hardware first. laya-cpu-benchmark concluded that a realistic CPU call is 0.3 to 2 seconds, and the Railway template reports about 0.2 to 0.9 s per call on CPU, with around 3.4 GB of memory for both checkpoints. Without a GPU or an Apple Silicon Mac, a self-hosted server can be slower than a hosted one.

A hosted API is the better fit when you do not want to operate a model server, when traffic is low or bursty, or when you want features around the model, such as templates, test sets or other models on the same endpoint.

Hosted options

Details are from each service's site, checked on 2026-10-14. Neither is affiliated with Convai Innovations or TypeSafe.

layahost

  • Models: Laya (laya-english, laya-multilingual) on its own servers in Helsinki. Cloudflare's open Clef and Clef-flash on the same API, answered on Cloudflare's Workers AI GPUs.
  • API: the Jev-compatible POST /v1/systemone, and a simpler /v1/decide with ready templates: moderation, spam, support_intent, routing, sentiment, priority, prompt_injection, pii and language.
  • Tools: test sets in the console to compare models on your own labelled data, decision flows built in a visual editor, an MCP server, an n8n node (n8n-nodes-layahost) and a drop-in for Google's Perspective API.
  • Pricing: Laya per decision (one answered question), the same whatever the text length. Clef per input token. New accounts get $1 of credit after email verification, with no card.
  • layahost.com · migrating from Jev

Laya Studio

  • Models: Laya's English and multilingual checkpoints, routed automatically.
  • Location: GPUs in Switzerland and an account database in Zurich. A Swiss-only mode keeps requests from failing over abroad. The site says request content is not stored and request metadata is kept for 30 days.
  • API: POST /v1/systemone at api.laya.studio.
  • Pricing: per input token, like Jev. New workspaces start with 6k free tokens.
  • laya.studio

Railway template

The Railway template is a middle way: a one-click deploy of a Jev-compatible Laya server into your own Railway account. You pay Railway for the machine and your text goes only to your own service, but running and updating it is still your job. Its page says a Hobby or Pro plan is needed for the memory.

What to check

  • Data location. Where the model runs, where accounts are stored, whether request text is kept, and whether a failover can move a request to another country. On layahost, Laya and Clef run in different places.
  • Pricing model. Per-decision pricing does not depend on text length, so a long email costs the same as a short one, but three questions in one request count as three decisions. Per-token pricing, which Jev also uses, grows with the length of the text. Price both with your real message length and questions per request.
  • Jev compatibility. Both hosted services accept /v1/systemone and say an existing Jev client works after a base-URL and key change (layahost documents this for the official TypeSafe SDKs). The answers still come from Laya, so a confidence threshold tuned on Jev does not transfer. See the differences on the API servers page.
  • Latency. The network adds to the model's own time. Laya Studio reports about 120 ms end to end from Europe for a warm request, and layahost lists about 0.1 s for Laya and 0.4 to 1 s for the Clef models. Measure from your own region.
  • Accuracy. Hosting does not change the model. Independent benchmarks put base Laya behind Jev and the larger open alternatives on hard tasks (see the benchmark section there, and Laya benchmarks for the model card's own numbers). Run a few hundred of your own labelled examples before you move production traffic.

More ways to use Laya