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lmstudio-js
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LM Studio TypeScript SDK
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<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://github.com/lmstudio-ai/lmstudio.js/assets/3611042/dd0b2298-beec-4dfe-9019-7d4dc5427e40"> <source media="(prefers-color-scheme: light)" srcset="https://github.com/lmstudio-ai/lmstudio.js/assets/3611042/70f24e8f-302b-465d-8607-8c3f36cd4934"> <img alt="lmstudio javascript library logo" src="https://github.com/lmstudio-ai/lmstudio.js/assets/3611042/70f24e8f-302b-465d-8607-8c3f36cd4934" width="290" height="86" style="max-width: 100%;"> </picture> </p> <p align="center"><code>Use local LLMs in TypeScript</code></p> <p align="center"><i>LM Studio Client SDK</i></p> `lmstudio-js` is LM Studio's official JavaScript client SDK, written in TypeScript. It allows you to - Use LLMs to [respond in chats](https://lmstudio.ai/docs/typescript/llm-prediction/chat-completion) or predict [text completions](https://lmstudio.ai/docs/typescript/llm-prediction/completion) - Define functions as tools, and turn LLMs into [autonomous agents](https://lmstudio.ai/docs/typescript/agent/act) that run completely locally - [Load](https://lmstudio.ai/docs/typescript/manage-models/loading), [configure](https://lmstudio.ai/docs/typescript/llm-prediction/parameters), and [unload](https://lmstudio.ai/docs/typescript/manage-models/loading) models from memory - Supports both browser and any Node-compatible environments - Generate embeddings for text, and more! > Using python? See [lmstudio-python](https://github.com/lmstudio-ai/lmstudio-python) ## Installation ```bash npm install @lmstudio/sdk --save ``` ## Quick Example ```ts 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](https://lmstudio.ai/docs/typescript). ## 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: ```bash git clone https://github.com/lmstudio-ai/lmstudio-js.git --recursive cd lmstudio-js npm install npm run build ``` See [CONTRIBUTING.md](CONTRIBUTING.md) for more information. ## Community <p>Discuss all things lmstudio-js in <a href="https://discord.gg/aPQfnNkxGC">#dev-chat</a> in LM Studio's Community Discord server.</p> <a href="https://discord.gg/aPQfnNkxGC"><img alt="Discord" src="https://img.shields.io/discord/1110598183144399058?logo=discord&style=flat&logoColor=white"></a>