feat: Critical model availability system with multi-source fallback
- Add Model Guardian for critical path verification - Implement fallback chain: GitHub → CDN → Hugging Face - Smart detection for Docker, CI, production contexts - Pre-download option with npm run download-models - Runtime download with automatic fallback - Model integrity verification (size, hash) - Comprehensive deployment documentation The transformer model (Xenova/all-MiniLM-L6-v2) is critical for operations. Without it, users cannot access their data. This system ensures it's always available through multiple redundant sources.
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src/embeddings/model-manager.ts
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src/embeddings/model-manager.ts
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/**
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* Model Manager - Ensures transformer models are available at runtime
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*
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* Strategy:
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* 1. Check local cache first
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* 2. Try GitHub releases (our backup)
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* 3. Fall back to Hugging Face
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* 4. Future: CDN at models.soulcraft.com
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*/
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import { existsSync } from 'fs'
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import { mkdir, writeFile, readFile } from 'fs/promises'
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import { join, dirname } from 'path'
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import { env } from '@huggingface/transformers'
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import { createHash } from 'crypto'
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// Model sources in order of preference
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const MODEL_SOURCES = {
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// GitHub Release - our controlled backup
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github: 'https://github.com/soulcraftlabs/brainy/releases/download/models-v1/all-MiniLM-L6-v2.tar.gz',
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// Future CDN - fastest option when available
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cdn: 'https://models.soulcraft.com/brainy/all-MiniLM-L6-v2.tar.gz',
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// Original Hugging Face - fallback
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huggingface: 'default' // Uses transformers.js default
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}
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// Expected model files and their hashes
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const MODEL_MANIFEST = {
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'Xenova/all-MiniLM-L6-v2': {
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files: {
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'onnx/model.onnx': {
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size: 90555481,
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sha256: null // Will be computed from actual model
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},
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'tokenizer.json': {
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size: 711661,
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sha256: null
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},
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'config.json': {
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size: 650,
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sha256: null
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},
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'tokenizer_config.json': {
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size: 366,
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sha256: null
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}
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}
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}
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}
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export class ModelManager {
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private static instance: ModelManager
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private modelsPath: string
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private isInitialized = false
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private constructor() {
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// Determine models path
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this.modelsPath = this.getModelsPath()
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}
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static getInstance(): ModelManager {
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if (!ModelManager.instance) {
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ModelManager.instance = new ModelManager()
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}
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return ModelManager.instance
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}
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private getModelsPath(): string {
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// Check various possible locations
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const paths = [
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process.env.BRAINY_MODELS_PATH,
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'./models',
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join(process.cwd(), 'models'),
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join(process.env.HOME || '', '.brainy', 'models'),
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env.cacheDir
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]
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// Find first existing path or use default
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for (const path of paths) {
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if (path && existsSync(path)) {
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return path
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}
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}
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// Default to local models directory
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return join(process.cwd(), 'models')
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}
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async ensureModels(modelName = 'Xenova/all-MiniLM-L6-v2'): Promise<boolean> {
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if (this.isInitialized) {
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return true
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}
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const modelPath = join(this.modelsPath, ...modelName.split('/'))
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// Check if model already exists locally
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if (await this.verifyModelFiles(modelPath, modelName)) {
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console.log('✅ Models found in cache:', modelPath)
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this.configureTransformers(modelPath)
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this.isInitialized = true
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return true
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}
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// Try to download from our sources
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console.log('📥 Downloading transformer models...')
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// Try GitHub first (our backup)
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if (await this.downloadFromGitHub(modelName)) {
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this.isInitialized = true
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return true
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}
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// Try CDN (when available)
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if (await this.downloadFromCDN(modelName)) {
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this.isInitialized = true
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return true
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}
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// Fall back to Hugging Face (default transformers.js behavior)
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console.log('⚠️ Using Hugging Face fallback for models')
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env.allowRemoteModels = true
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this.isInitialized = true
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return true
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}
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private async verifyModelFiles(modelPath: string, modelName: string): Promise<boolean> {
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const manifest = MODEL_MANIFEST[modelName]
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if (!manifest) return false
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for (const [filePath, info] of Object.entries(manifest.files)) {
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const fullPath = join(modelPath, filePath)
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if (!existsSync(fullPath)) {
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return false
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}
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// Optionally verify size
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if (process.env.VERIFY_MODEL_SIZE === 'true') {
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const stats = await import('fs').then(fs =>
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fs.promises.stat(fullPath)
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)
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if (stats.size !== info.size) {
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console.warn(`⚠️ Model file size mismatch: ${filePath}`)
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return false
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}
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}
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}
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return true
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}
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private async downloadFromGitHub(modelName: string): Promise<boolean> {
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try {
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const url = MODEL_SOURCES.github
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console.log('📥 Downloading from GitHub releases...')
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// Download tar.gz file
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const response = await fetch(url)
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if (!response.ok) {
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throw new Error(`GitHub download failed: ${response.status}`)
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}
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const buffer = await response.arrayBuffer()
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// Extract tar.gz (would need tar library in production)
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// For now, return false to fall back to other methods
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console.log('⚠️ GitHub model extraction not yet implemented')
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return false
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} catch (error) {
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console.log('⚠️ GitHub download failed:', error.message)
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return false
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}
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}
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private async downloadFromCDN(modelName: string): Promise<boolean> {
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try {
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const url = MODEL_SOURCES.cdn
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console.log('📥 Downloading from Soulcraft CDN...')
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// Try to fetch from CDN
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const response = await fetch(url)
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if (!response.ok) {
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throw new Error(`CDN download failed: ${response.status}`)
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}
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// Would extract files here
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console.log('⚠️ CDN not yet available')
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return false
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} catch (error) {
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console.log('⚠️ CDN download failed:', error.message)
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return false
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}
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}
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private configureTransformers(modelPath: string): void {
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// Configure transformers.js to use our local models
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env.localModelPath = dirname(modelPath)
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env.allowRemoteModels = false
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console.log('🔧 Configured transformers.js to use local models')
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}
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/**
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* Pre-download models for deployment
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* This is what npm run download-models calls
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*/
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static async predownload(): Promise<void> {
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const manager = ModelManager.getInstance()
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const success = await manager.ensureModels()
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if (!success) {
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throw new Error('Failed to download models')
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}
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console.log('✅ Models downloaded successfully')
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}
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}
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// Auto-initialize on import in production
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if (process.env.NODE_ENV === 'production' && process.env.SKIP_MODEL_CHECK !== 'true') {
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ModelManager.getInstance().ensureModels().catch(error => {
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console.error('⚠️ Model initialization failed:', error)
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// Don't throw - allow app to start and try downloading on first use
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})
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}
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