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Jan’s extension system allows you to extend the application’s functionality by creating custom extensions. Extensions can add new features like custom inference engines, conversational backends, assistant implementations, and more.

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What are Extensions?

Extensions are modular components that integrate with Jan’s core APIs. They are packaged as .tgz files and can be installed through the Jan interface. Each extension extends the BaseExtension class and implements specific interfaces based on its functionality.

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Extension Types

Jan supports several extension types:

Inference

Implement custom inference engines for running AI models

Conversational

Manage threads, messages, and conversation persistence

Assistant

Create and manage AI assistants with custom behavior

Engine

Build AI engines for model execution (local or remote)

RAG

Implement retrieval-augmented generation capabilities

Vector DB

Add vector database backends for embeddings

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Extension Architecture

Every extension in Jan follows this structure: 
import { BaseExtension, ExtensionTypeEnum } from '@janhq/core'

export default class MyExtension extends BaseExtension {
  // Extension metadata
  name: string
  productName?: string
  description?: string
  version?: string

  // Lifecycle methods
  async onLoad(): Promise<void> {
    // Initialize your extension
  }

  onUnload(): void {
    // Cleanup resources
  }

  // Optional: Define extension type
  type(): ExtensionTypeEnum | undefined {
    return ExtensionTypeEnum.Inference
  }
}

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Core Capabilities

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Event System

Extensions can listen to and emit events throughout Jan: 
import { events, MessageEvent } from '@janhq/core'

// Listen to events
events.on(MessageEvent.OnMessageSent, (data) => {
  console.log('Message sent:', data)
})

// Emit events
events.emit(MessageEvent.OnMessageResponse, messageData)

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Settings Management

Extensions can register and manage their own settings: 
import { SettingComponentProps } from '@janhq/core'

const settings: SettingComponentProps[] = [
  {
    key: 'api_key',
    title: 'API Key',
    description: 'Your API key for authentication',
    controllerType: 'input',
    controllerProps: {
      placeholder: 'Enter API key',
      value: '',
      type: 'password'
    }
  }
]

await this.registerSettings(settings)

// Get setting value
const apiKey = await this.getSetting('api_key', '')

// Update settings
await this.updateSettings([
  {
    key: 'api_key',
    controllerProps: { value: 'new-key' }
  }
])

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Model Registration

Extensions can register models with Jan: 
import { Model } from '@janhq/core'

const models: Model[] = [
  {
    id: 'my-model-id',
    name: 'My Custom Model',
    object: 'model',
    version: '1.0.0',
    format: 'gguf',
    sources: [{
      filename: 'model.gguf',
      url: 'https://example.com/model.gguf'
    }],
    created: Date.now(),
    description: 'A custom model',
    settings: {},
    parameters: {},
    metadata: {
      author: 'Me',
      tags: ['custom'],
      size: 4_000_000_000
    },
    engine: 'llamacpp'
  }
]

await this.registerModels(models)

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Extension Lifecycle

  1. Installation: Extensions are installed as .tgz packages
  2. Loading: onLoad() is called when Jan starts or the extension is enabled
  3. Active: Extension responds to events and provides functionality
  4. Unloading: onUnload() is called when Jan closes or the extension is disabled

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Available Events

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Message Events

  • MessageEvent.OnMessageSent - Fired when a user sends a message
  • MessageEvent.OnMessageResponse - Fired when an assistant responds
  • MessageEvent.OnMessageUpdate - Fired when a message is updated

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Inference Events

  • InferenceEvent.OnInferenceStopped - Fired when inference is stopped

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Download Events

  • DownloadEvent.onFileDownloadUpdate - Progress updates during downloads
  • DownloadEvent.onFileDownloadError - Download errors
  • DownloadEvent.onModelValidationStarted - Model validation begins

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App Events

  • AppEvent.onModelImported - Fired when a model is imported

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Built-in Extensions

Jan includes several built-in extensions:
  • @janhq/conversational-extension - File system-based conversation storage
  • @janhq/assistant-extension - Default AI assistant implementation
  • @janhq/llamacpp-extension - llama.cpp inference engine
  • @janhq/download-extension - File download management
  • @janhq/rag-extension - Retrieval-augmented generation
  • @janhq/vector-db-extension - Vector database backend

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Next Steps

Getting Started

Create your first extension

Core API Reference

Explore the @janhq/core API

Building Extensions

Package and distribute your extension

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