feat/implement-inference-martian-extension (#2869)

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# Martian Engine Extension
Created using Jan extension example
# Create a Jan Extension using Typescript
Use this template to bootstrap the creation of a TypeScript Jan extension. 🚀
## Create Your Own Extension
To create your own extension, you can use this repository as a template! Just follow the below instructions:
1. Click the Use this template button at the top of the repository
2. Select Create a new repository
3. Select an owner and name for your new repository
4. Click Create repository
5. Clone your new repository
## Initial Setup
After you've cloned the repository to your local machine or codespace, you'll need to perform some initial setup steps before you can develop your extension.
> [!NOTE]
>
> You'll need to have a reasonably modern version of
> [Node.js](https://nodejs.org) handy. If you are using a version manager like
> [`nodenv`](https://github.com/nodenv/nodenv) or
> [`nvm`](https://github.com/nvm-sh/nvm), you can run `nodenv install` in the
> root of your repository to install the version specified in
> [`package.json`](./package.json). Otherwise, 20.x or later should work!
1. :hammer_and_wrench: Install the dependencies
```bash
npm install
```
1. :building_construction: Package the TypeScript for distribution
```bash
npm run bundle
```
1. :white_check_mark: Check your artifact
There will be a tgz file in your extension directory now
## Update the Extension Metadata
The [`package.json`](package.json) file defines metadata about your extension, such as
extension name, main entry, description and version.
When you copy this repository, update `package.json` with the name, description for your extension.
## Update the Extension Code
The [`src/`](./src/) directory is the heart of your extension! This contains the
source code that will be run when your extension functions are invoked. You can replace the
contents of this directory with your own code.
There are a few things to keep in mind when writing your extension code:
- Most Jan Extension functions are processed asynchronously.
In `index.ts`, you will see that the extension function will return a `Promise<any>`.
```typescript
import { events, MessageEvent, MessageRequest } from '@janhq/core'
function onStart(): Promise<any> {
return events.on(MessageEvent.OnMessageSent, (data: MessageRequest) =>
this.inference(data)
)
}
```
For more information about the Jan Extension Core module, see the
[documentation](https://github.com/janhq/jan/blob/main/core/README.md).
So, what are you waiting for? Go ahead and start customizing your extension!

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{
"name": "@janhq/inference-martian-extension",
"productName": "Martian Inference Engine",
"version": "1.0.1",
"description": "This extension enables Martian chat completion API calls",
"main": "dist/index.js",
"module": "dist/module.js",
"engine": "martian",
"author": "Jan <service@jan.ai>",
"license": "AGPL-3.0",
"scripts": {
"build": "tsc -b . && webpack --config webpack.config.js",
"build:publish": "rimraf *.tgz --glob && yarn build && npm pack && cpx *.tgz ../../pre-install"
},
"exports": {
".": "./dist/index.js",
"./main": "./dist/module.js"
},
"devDependencies": {
"cpx": "^1.5.0",
"rimraf": "^3.0.2",
"webpack": "^5.88.2",
"webpack-cli": "^5.1.4",
"ts-loader": "^9.5.0"
},
"dependencies": {
"@janhq/core": "file:../../core",
"fetch-retry": "^5.0.6",
"ulidx": "^2.3.0"
},
"engines": {
"node": ">=18.0.0"
},
"files": [
"dist/*",
"package.json",
"README.md"
],
"bundleDependencies": [
"fetch-retry"
]
}

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[
{
"sources": [
{
"url": "https://withmartian.com/"
}
],
"id": "router",
"object": "model",
"name": "Martian Model Router",
"version": "1.0",
"description": "Martian Model Router dynamically routes requests to the best LLM in real-time",
"format": "api",
"settings": {},
"parameters": {
"max_tokens": 4096,
"temperature": 0.7,
"top_p": 0.95,
"stream": true,
"stop": [],
"frequency_penalty": 0,
"presence_penalty": 0
},
"metadata": {
"author": "Martian",
"tags": [
"General"
]
},
"engine": "martian"
}
]

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[
{
"key": "chat-completions-endpoint",
"title": "Chat Completions Endpoint",
"description": "The endpoint to use for chat completions. See the [Martian API documentation](https://docs.withmartian.com/martian-model-router/api-reference/get-chat-completions) for more information.",
"controllerType": "input",
"controllerProps": {
"placeholder": "https://withmartian.com/api/openai/v1/chat/completions",
"value": "https://withmartian.com/api/openai/v1/chat/completions"
}
},
{
"key": "martian-api-key",
"title": "API Key",
"description": "The Martian API uses API keys for authentication. Visit your [API Keys](https://withmartian.com/dashboard) page to retrieve the API key you'll use in your requests.",
"controllerType": "input",
"controllerProps": {
"placeholder": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"value": "",
"type": "password"
}
}
]

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/**
* @file This file exports a class that implements the InferenceExtension interface from the @janhq/core package.
* The class provides methods for initializing and stopping a model, and for making inference requests.
* It also subscribes to events emitted by the @janhq/core package and handles new message requests.
* @version 1.0.0
* @module inference-martian-extension/src/index
*/
import { RemoteOAIEngine, SettingComponentProps } from '@janhq/core'
declare const SETTINGS: Array<any>
declare const MODELS: Array<any>
enum Settings {
apiKey = 'martian-api-key',
chatCompletionsEndPoint = 'chat-completions-endpoint',
}
/**
* A class that implements the InferenceExtension interface from the @janhq/core package.
* The class provides methods for initializing and stopping a model, and for making inference requests.
* It also subscribes to events emitted by the @janhq/core package and handles new message requests.
*/
export default class JanInferenceMartianExtension extends RemoteOAIEngine {
inferenceUrl: string = ''
provider: string = 'martian'
override async onLoad(): Promise<void> {
super.onLoad()
// Register Settings
this.registerSettings(SETTINGS)
this.registerModels(MODELS)
this.apiKey = await this.getSetting<string>(Settings.apiKey, '')
this.inferenceUrl = await this.getSetting<string>(
Settings.chatCompletionsEndPoint,
''
)
if (this.inferenceUrl.length === 0) {
SETTINGS.forEach((setting) => {
if (setting.key === Settings.chatCompletionsEndPoint) {
this.inferenceUrl = setting.controllerProps.value as string
}
})
}
}
onSettingUpdate<T>(key: string, value: T): void {
if (key === Settings.apiKey) {
this.apiKey = value as string
} else if (key === Settings.chatCompletionsEndPoint) {
if (typeof value !== 'string') return
if (value.trim().length === 0) {
SETTINGS.forEach((setting) => {
if (setting.key === Settings.chatCompletionsEndPoint) {
this.inferenceUrl = setting.controllerProps.value as string
}
})
} else {
this.inferenceUrl = value
}
}
}
}

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{
"compilerOptions": {
"target": "es2016",
"module": "ES6",
"moduleResolution": "node",
"outDir": "./dist",
"esModuleInterop": true,
"forceConsistentCasingInFileNames": true,
"strict": false,
"skipLibCheck": true,
"rootDir": "./src"
},
"include": ["./src"]
}

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const webpack = require('webpack')
const packageJson = require('./package.json')
const settingJson = require('./resources/settings.json')
const modelsJson = require('./resources/models.json')
module.exports = {
experiments: { outputModule: true },
entry: './src/index.ts', // Adjust the entry point to match your project's main file
mode: 'production',
module: {
rules: [
{
test: /\.tsx?$/,
use: 'ts-loader',
exclude: /node_modules/,
},
],
},
plugins: [
new webpack.DefinePlugin({
MODELS: JSON.stringify(modelsJson),
SETTINGS: JSON.stringify(settingJson),
ENGINE: JSON.stringify(packageJson.engine),
}),
],
output: {
filename: 'index.js', // Adjust the output file name as needed
library: { type: 'module' }, // Specify ESM output format
},
resolve: {
extensions: ['.ts', '.js'],
},
optimization: {
minimize: false,
},
// Add loaders and other configuration as needed for your project
}