Integrations

Introduction

LM Studio plugins support custom configurations. That is, you can define a configuration schema and LM Studio will present a UI to the user so they can configure your plugin without having to edit any code.

There are two types of configurations:

• Per-chat configuration: tied to a specific chat. Different chats can have different configurations. Most configurations that affects the behavior of the plugin should be of this type.
• Global configuration: apply to all chats and are shared across the application. This is useful for global settings such as API keys.

Types of Configurations

You can define configurations in TypeScript using the createConfigSchematics function from the @lmstudio/sdk package. This function allows you to define fields with various types and options.

Supported types include:

• string: A text input field.
• numeric: A number input field with optional validation and slider UI.
• boolean: A checkbox or toggle input field.
• stringArray: An array of string values with configurable constraints.
• select: A dropdown selection field with predefined options.

See the Defining New Fields section for more details on how to define these fields.

Examples

The following are some plugins that make use of custom configurations

• lmstudio/wikipedia

  Gives the LLM tools to search and read Wikipedia articles.

• lmstudio/openai-compat-endpoint

  Use any OpenAI-compatible API in LM Studio.