Use local LLMs in TypeScript

LM Studio Client SDK

lmstudio-js is LM Studio's official JavaScript client SDK, written in TypeScript. It allows you to

• 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 both browser and any Node-compatible environments
• Generate embeddings for text, and more!

Using python? See lmstudio-python

Installation

npm install @lmstudio/sdk --save

Quick Example

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

const model = await client.llm.model("llama-3.2-1b-instruct");
const result = await model.respond("What is the meaning of life?");

console.info(result.content);

For more examples and documentation, visit lmstudio-js docs.

Why use lmstudio-js over openai sdk?

Open AI's SDK is designed to use with Open AI's proprietary models. As such, it is missing many features that are essential for using LLMs in a local environment, such as:

• Managing loading and unloading models from memory
• Configuring load parameters (context length, gpu offload settings, etc.)
• Speculative decoding
• Getting information (such as context length, model size, etc.) about a model
• ... and more

In addition, while openai sdk is automatically generated, lmstudio-js is designed from ground-up to be clean and easy to use for TypeScript/JavaScript developers.

Contributing

You can build the project locally by following these steps:

git clone https://github.com/lmstudio-ai/lmstudio-js.git --recursive
cd lmstudio-js
npm install
npm run build

See CONTRIBUTING.md for more information.

Community

Discuss all things lmstudio-js in #dev-chat in LM Studio's Community Discord server.