feat: Featherless integration

core/src/types/model/modelEntity.ts

@@ -29,6 +29,7 @@ export enum InferenceEngine {
   cortex_llamacpp = 'cortex.llamacpp',
   cortex_onnx = 'cortex.onnx',
   cortex_tensorrtllm = 'cortex.tensorrt-llm',
+  featherless = 'featherless',
 }
 
 export type ModelArtifact = {

extensions/inference-featherless-extension/README.md

@@ -0,0 +1,79 @@
+# Featherless 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!

extensions/inference-featherless-extension/package.json

@@ -0,0 +1,43 @@
+{
+  "name": "@janhq/inference-featherless-extension",
+  "productName": "Featherless Inference Engine",
+  "version": "1.0.0",
+  "description": "This extension enables Featherless.ai chat completion API calls",
+  "main": "dist/index.js",
+  "module": "dist/module.js",
+  "engine": "Featherless",
+  "author": "Jan <[email protected]>",
+  "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",
+    "sync:core": "cd ../.. && yarn build:core && cd extensions && rm yarn.lock &&  cd inference-featherless-extension && yarn && yarn build:publish"
+  },
+  "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"
+  ]
+}

extensions/inference-featherless-extension/resources/models.json

@@ -0,0 +1,28 @@
+  [
+  {
+    "sources": [
+      {
+        "url": "https://featherless.ai"
+      }
+    ],
+    "id": "featherless-auto",
+    "object": "model",
+    "name": "Featherless",
+    "version": "1.0",
+    "description": "Featherless lets you access all of huggingfaces models through their api",
+    "format": "api",
+    "settings": {},
+    "parameters": {
+      "max_tokens": 1024,
+      "temperature": 0.7,
+      "top_p": 0.95,
+      "frequency_penalty": 0,
+      "presence_penalty": 0
+    },
+    "metadata": {
+      "author": "Featherless",
+      "tags": ["General", "Big Context Length"]
+    },
+    "engine": "Featherless"
+  }
+]

extensions/inference-featherless-extension/resources/settings.json

@@ -0,0 +1,34 @@
+[
+  {
+    "key": "featherless-api-key",
+    "title": "API Key",
+    "description": "The Featherless API uses API keys for authentication. Visit your [API Keys](https://featherless.ai/account/api-keys) page to retrieve the API key you'll use in your requests.",
+    "controllerType": "input",
+    "controllerProps": {
+      "placeholder": "Insert API Key",
+      "value": "",
+      "type": "password",
+      "inputActions": ["unobscure", "copy"]
+    }
+  },
+  {
+    "key": "chat-completions-endpoint",
+    "title": "Chat Completions Endpoint",
+    "description": "The endpoint to use for chat completions. See the [documentation](https://featherless.ai/docs) for more information.",
+    "controllerType": "input",
+    "controllerProps": {
+      "placeholder": "https://api.featherless.ai/v1/chat/completions",
+      "value": "https://api.featherless.ai/v1/chat/completions"
+    }
+  },
+  {
+    "key": "featherless-model",
+    "title": "Model",
+    "description": "Choose a model at [Featherless](https://featherless.ai/models)",
+    "controllerType": "input",
+    "controllerProps": {
+      "placeholder": "choose a model at https://featherless.ai/models",
+      "value": "Sao10K/L3-8B-Stheno-v3.2"
+    }
+  }
+]

extensions/inference-featherless-extension/src/index.ts

@@ -0,0 +1,88 @@
+/**
+ * @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-openai-extension/src/index
+ */
+
+import { RemoteOAIEngine } from '@janhq/core'
+import { PayloadType } from '@janhq/core'
+
+declare const SETTINGS: Array<any>
+declare const MODELS: Array<any>
+
+enum Settings {
+  apiKey = 'featherless-api-key',
+  model = 'featherless-model',
+  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 JanInferenceFeatherlessExtension extends RemoteOAIEngine {
+  inferenceUrl: string = ''
+  provider: string = 'Featherless'
+  model?: string | undefined
+
+  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,
+      ''
+    )
+    this.model = await this.getSetting<string>(Settings.model, '')
+
+    if (!this.model?.length) this.model = undefined
+    if (this.inferenceUrl.length === 0) {
+      SETTINGS.forEach((setting) => {
+        if (setting.key === Settings.chatCompletionsEndPoint) {
+          this.inferenceUrl = setting.controllerProps.value as string
+        }
+      })
+    }
+  }
+
+  override async headers(): Promise<HeadersInit> {
+    return {
+      'Content-Type': 'application/json',
+      'HTTP-Referer': 'https://jan.ai',
+      'Authorization': `Bearer ${this.apiKey}`,
+    }
+  }
+
+  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
+      }
+    } else if (key === Settings.model) {
+      this.model =
+        typeof value === 'string' && value.length > 0 ? value : undefined
+    }
+  }
+
+  transformPayload = (payload: PayloadType) => ({
+    ...payload,
+    model: this.model,
+  })
+}

extensions/inference-featherless-extension/tsconfig.json

@@ -0,0 +1,14 @@
+{
+  "compilerOptions": {
+    "target": "es2016",
+    "module": "ES6",
+    "moduleResolution": "node",
+    "outDir": "./dist",
+    "esModuleInterop": true,
+    "forceConsistentCasingInFileNames": true,
+    "strict": false,
+    "skipLibCheck": true,
+    "rootDir": "./src"
+  },
+  "include": ["./src"]
+}

extensions/inference-featherless-extension/webpack.config.js

@@ -0,0 +1,37 @@
+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
+}

web/utils/modelEngine.ts

@@ -27,6 +27,8 @@ export const getLogoEngine = (engine: InferenceEngine) => {
       return 'images/ModelProvider/cohere.svg'
     case InferenceEngine.nvidia:
       return 'images/ModelProvider/nvidia.svg'
+    case InferenceEngine.featherless:
+      return 'images/ModelProvider/featherless.svg'
     default:
       return undefined
   }
@@ -56,6 +58,8 @@ export const getTitleByEngine = (engine: InferenceEngine) => {
       return 'OpenAI'
     case InferenceEngine.openrouter:
       return 'OpenRouter'
+    case InferenceEngine.featherless:
+      return 'Featherless'
     default:
       return engine.charAt(0).toUpperCase() + engine.slice(1)
   }