config.yaml: Group extension settings into one section

default/config.yaml

@@ -133,24 +133,26 @@ whitelistImportDomains:
 ##   headers:
 ##     User-Agent: "Googlebot/2.1 (+http://www.google.com/bot.html)"
 requestOverrides: []
-# -- EXTENSIONS CONFIGURATION --
-# Enable UI extensions
-enableExtensions: true
-# Automatically update extensions when a release version changes
-enableExtensionsAutoUpdate: true
+
+# EXTENSIONS CONFIGURATION
+extensions:
+  # Enable UI extensions
+  enabled: true
+  # Automatically update extensions when a release version changes
+  autoUpdate: true
+  models:
+    # Enables automatic model download from HuggingFace
+    autoDownload: true
+    # Additional models for extensions. Expects model IDs from HuggingFace model hub in ONNX format
+    classification: Cohee/distilbert-base-uncased-go-emotions-onnx
+    captioning: Xenova/vit-gpt2-image-captioning
+    embedding: Cohee/jina-embeddings-v2-base-en
+    speechToText: Xenova/whisper-small
+    textToSpeech: Xenova/speecht5_tts
+
 # Additional model tokenizers can be downloaded on demand.
 # Disabling will fallback to another locally available tokenizer.
 enableDownloadableTokenizers: true
-# Extension settings
-extras:
-  # Disables automatic model download from HuggingFace
-  disableAutoDownload: false
-  # Extra models for plugins. Expects model IDs from HuggingFace model hub in ONNX format
-  classificationModel: Cohee/distilbert-base-uncased-go-emotions-onnx
-  captioningModel: Xenova/vit-gpt2-image-captioning
-  embeddingModel: Cohee/jina-embeddings-v2-base-en
-  speechToTextModel: Xenova/whisper-small
-  textToSpeechModel: Xenova/speecht5_tts
 # -- OPENAI CONFIGURATION --
 # A placeholder message to use in strict prompt post-processing mode when the prompt doesn't start with a user message
 promptPlaceholder: "[Start a new chat]"

jsconfig.json

@@ -15,7 +15,7 @@
         "**/node_modules/**",
         "**/dist/**",
         "**/.git/**",
-        "public/lib/**",
+        "public/**",
         "backups/**",
         "data/**",
         "cache/**",

post-install.js

@@ -64,6 +64,46 @@ const keyMigrationMap = [
         newKey: 'backups.chat.throttleInterval',
         migrate: (value) => value,
     },
+    {
+        oldKey: 'enableExtensions',
+        newKey: 'extensions.enabled',
+        migrate: (value) => value,
+    },
+    {
+        oldKey: 'enableExtensionsAutoUpdate',
+        newKey: 'extensions.autoUpdate',
+        migrate: (value) => value,
+    },
+    {
+        oldKey: 'extras.disableAutoDownload',
+        newKey: 'extensions.models.autoDownload',
+        migrate: (value) => !value,
+    },
+    {
+        oldKey: 'extras.classificationModel',
+        newKey: 'extensions.models.classification',
+        migrate: (value) => value,
+    },
+    {
+        oldKey: 'extras.captioningModel',
+        newKey: 'extensions.models.captioning',
+        migrate: (value) => value,
+    },
+    {
+        oldKey: 'extras.embeddingModel',
+        newKey: 'extensions.models.embedding',
+        migrate: (value) => value,
+    },
+    {
+        oldKey: 'extras.speechToTextModel',
+        newKey: 'extensions.models.speechToText',
+        migrate: (value) => value,
+    },
+    {
+        oldKey: 'extras.textToSpeechModel',
+        newKey: 'extensions.models.textToSpeech',
+        migrate: (value) => value,
+    },
 ];
 
 /**

src/endpoints/settings.js

@@ -10,8 +10,8 @@ import { getConfigValue, generateTimestamp, removeOldBackups } from '../util.js'
 import { jsonParser } from '../express-common.js';
 import { getAllUserHandles, getUserDirectories } from '../users.js';
 
-const ENABLE_EXTENSIONS = getConfigValue('enableExtensions', true);
-const ENABLE_EXTENSIONS_AUTO_UPDATE = getConfigValue('enableExtensionsAutoUpdate', true);
+const ENABLE_EXTENSIONS = !!getConfigValue('extensions.enabled', true);
+const ENABLE_EXTENSIONS_AUTO_UPDATE = !!getConfigValue('extensions.autoUpdate', true);
 const ENABLE_ACCOUNTS = getConfigValue('enableUserAccounts', false);
 
 // 10 minutes

src/endpoints/vectors.js

@@ -164,7 +164,7 @@ function getSourceSettings(source, request) {
             };
         case 'transformers':
             return {
-                model: getConfigValue('extras.embeddingModel', ''),
+                model: getConfigValue('extensions.models.embedding', ''),
             };
         case 'palm':
             return {

src/transformers.js

@@ -19,31 +19,31 @@ const tasks = {
     'text-classification': {
         defaultModel: 'Cohee/distilbert-base-uncased-go-emotions-onnx',
         pipeline: null,
-        configField: 'extras.classificationModel',
+        configField: 'extensions.models.classification',
         quantized: true,
     },
     'image-to-text': {
         defaultModel: 'Xenova/vit-gpt2-image-captioning',
         pipeline: null,
-        configField: 'extras.captioningModel',
+        configField: 'extensions.models.captioning',
         quantized: true,
     },
     'feature-extraction': {
         defaultModel: 'Xenova/all-mpnet-base-v2',
         pipeline: null,
-        configField: 'extras.embeddingModel',
+        configField: 'extensions.models.embedding',
         quantized: true,
     },
     'automatic-speech-recognition': {
         defaultModel: 'Xenova/whisper-small',
         pipeline: null,
-        configField: 'extras.speechToTextModel',
+        configField: 'extensions.models.speechToText',
         quantized: true,
     },
     'text-to-speech': {
         defaultModel: 'Xenova/speecht5_tts',
         pipeline: null,
-        configField: 'extras.textToSpeechModel',
+        configField: 'extensions.models.textToSpeech',
         quantized: false,
     },
 };
@@ -132,7 +132,7 @@ export async function getPipeline(task, forceModel = '') {
 
     const cacheDir = path.join(globalThis.DATA_ROOT, '_cache');
     const model = forceModel || getModelForTask(task);
-    const localOnly = getConfigValue('extras.disableAutoDownload', false);
+    const localOnly = !getConfigValue('extensions.models.autoDownload', true);
     console.log('Initializing transformers.js pipeline for task', task, 'with model', model);
     const instance = await pipeline(task, model, { cache_dir: cacheDir, quantized: tasks[task].quantized ?? true, local_files_only: localOnly });
     tasks[task].pipeline = instance;