Integrations

Introduction to Plugins

Plugins extend LM Studio's functionality by providing "hook functions" that execute at specific points during operation.

Plugins are currently written in JavaScript/TypeScript and run on Node.js v20.18.0. Python support is in development.

Getting Started

LM Studio includes Node.js, so no separate installation is required.

Create a new plugin

To create a new plugin, navigate to LM Studio... [TO BE CONTINUED]

Run a plugin in development mode

Once you've created a plugin, run this command in the plugin directory to start development mode:

lms dev

Your plugin will appear in LM Studio's plugin list. Development mode automatically rebuilds and reloads your plugin when you make code changes.

You only need lms dev during development. When the plugin is installed, LM Studio automatically runs them as needed. Learn more about distributing and installing plugins in the Sharing Plugins section.

Next Steps

• Tools Providers

  Give models extra capabilities by creating tools they can use during generation, like accessing external APIs or performing calculations.

• Prompt Preprocessors

  Modify user input before it reaches the model - handle file uploads, inject context, or transform queries.

• Generators

  Create custom text generation sources that replace the local model, perfect for online model adapters.

• Custom Configurations

  Add configuration UIs so users can customize your plugin's behavior.

• Third-Party Dependencies

  Use npm packages to leverage existing libraries in your plugins.

• Sharing Plugins

  Package and share your plugins with the community.