Use local LLMs in JS/TS/Node
LM Studio Client SDK
lmstudio-ts is LM Studio's official JavaScript/TypeScript client SDK, 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
npm install @lmstudio/sdk --saveimport { 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.
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.
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 buildSee CONTRIBUTING.md for more information.
Discuss all things lmstudio-js in #dev-chat in LM Studio's Community Discord server.
