lmstudio-js (TypeScript SDK)

The SDK provides you a set of programmatic tools to interact with LLMs, embeddings models, and agentic flows.

Installing the SDK

lmstudio-js is available as an npm package. You can install it using npm, yarn, or pnpm.

npm install @lmstudio/sdk --save

For the source code and open source contribution, visit lmstudio-js on GitHub.

Features

• Use LLMs to respond in chats or predict text completions
• Define functions as tools, and turn LLMs into autonomous agents that run completely locally
• Load, configure, and unload models from memory
• Supports for both browser and any Node-compatible environments
• Generate embeddings for text, and more!

Quick Example: Chat with a Llama Model

import { LMStudioClient } from "@lmstudio/sdk";
const client = new LMStudioClient();

const model = await client.llm.model("qwen/qwen3-4b-2507");
const result = await model.respond("What is the meaning of life?");

console.info(result.content);

Getting Local Models

The above code requires the qwen3-4b-2507. If you don't have the model, run the following command in the terminal to download it.

lms get qwen/qwen3-4b-2507

Read more about lms get in LM Studio's CLI here.