LM Studio Developer Docs

Install llmster for headless deployments

llmster is LM Studio's core, packaged as a daemon for headless deployment on servers, cloud instances, or CI. The daemon runs standalone, and it is not dependent on the LM Studio GUI.

Mac / Linux

curl -fsSL https://lmstudio.ai/install.sh | bash

Windows

irm https://lmstudio.ai/install.ps1 | iex

Basic usage

lms daemon up          # Start the daemon
lms get <model>        # Download a model
lms server start       # Start the local server
lms chat               # Open an interactive session

Learn more: Headless deployments

Super quick start

TypeScript (lmstudio-js)

npm install @lmstudio/sdk

import { LMStudioClient } from "@lmstudio/sdk";

const client = new LMStudioClient();
const model = await client.llm.model("openai/gpt-oss-20b");
const result = await model.respond("Who are you, and what can you do?");

console.info(result.content);

Full docs: lmstudio-js, Source: GitHub

Python (lmstudio-python)

pip install lmstudio

import lmstudio as lms

with lms.Client() as client:
    model = client.llm.model("openai/gpt-oss-20b")
    result = model.respond("Who are you, and what can you do?")
    print(result)

Full docs: lmstudio-python, Source: GitHub

HTTP (LM Studio REST API)

lms server start --port 1234

curl http://localhost:1234/api/v1/chat \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LM_API_TOKEN" \
  -d '{
    "model": "openai/gpt-oss-20b",
    "input": "Who are you, and what can you do?"
  }'

Full docs: LM Studio REST API

Helpful links

• API Changelog
• Local server basics
• CLI reference
• Discord Community