feat: Add Google Cloud Storage CDN for models.soulcraft.com

- Primary source: models.soulcraft.com on GCS
- Backup: GitHub releases
- Fallback: Hugging Face
- Immutable with SHA256 verification
This commit is contained in:
David Snelling 2025-08-18 18:58:26 -07:00
parent a9c5fd0eeb
commit 1096d285f5
13 changed files with 1058 additions and 15 deletions

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<!DOCTYPE html>
<html>
<head>
<title>Brainy Models CDN</title>
<meta charset="utf-8">
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
max-width: 900px;
margin: 50px auto;
padding: 20px;
background: #1a1a2e;
color: #eee;
}
.container {
background: rgba(255, 255, 255, 0.05);
border-radius: 10px;
padding: 30px;
border: 1px solid rgba(255, 255, 255, 0.1);
}
h1 {
color: #00ff88;
margin-top: 0;
}
.download-box {
background: rgba(0, 255, 136, 0.1);
border: 1px solid #00ff88;
padding: 20px;
border-radius: 5px;
margin: 20px 0;
}
.hash {
font-family: monospace;
background: rgba(0, 0, 0, 0.3);
padding: 5px 10px;
border-radius: 3px;
font-size: 12px;
word-break: break-all;
}
.critical {
background: rgba(255, 0, 0, 0.2);
border: 1px solid #ff4444;
padding: 15px;
border-radius: 5px;
margin: 20px 0;
}
code {
background: rgba(0, 0, 0, 0.3);
padding: 2px 6px;
border-radius: 3px;
}
a {
color: #00ff88;
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
</style>
</head>
<body>
<div class="container">
<h1>🧠 Brainy Models CDN</h1>
<div class="critical">
<strong>⚠️ CRITICAL:</strong> These models MUST NEVER CHANGE<br>
They are the foundation of user data access. Changing them would break existing embeddings.
</div>
<h2>Model: all-MiniLM-L6-v2</h2>
<p>384-dimensional transformer model for embeddings</p>
<div class="download-box">
<h3>📦 Download Package</h3>
<p><a href="/models/all-MiniLM-L6-v2.tar.gz">all-MiniLM-L6-v2.tar.gz</a> (87MB)</p>
<p class="hash">SHA256: <span id="model-hash">Loading...</span></p>
</div>
<h3>Individual Files:</h3>
<ul>
<li><a href="/models/Xenova/all-MiniLM-L6-v2/onnx/model.onnx">model.onnx</a> - ONNX model (87MB)</li>
<li><a href="/models/Xenova/all-MiniLM-L6-v2/tokenizer.json">tokenizer.json</a> - Tokenizer (695KB)</li>
<li><a href="/models/Xenova/all-MiniLM-L6-v2/config.json">config.json</a> - Configuration (650B)</li>
</ul>
<h3>Integration:</h3>
<pre><code># Direct download
curl -O https://models.soulcraft.com/models/all-MiniLM-L6-v2.tar.gz
# Verify integrity
echo "SHA256_HASH all-MiniLM-L6-v2.tar.gz" | sha256sum -c</code></pre>
<h3>Manifest:</h3>
<p><a href="/models/manifest.json">manifest.json</a> - Model manifest with all hashes</p>
</div>
<script>
// Load and display model hash
fetch('/models/manifest.json')
.then(r => r.json())
.then(data => {
document.getElementById('model-hash').textContent =
data.models['all-MiniLM-L6-v2'].sha256 || 'See manifest';
})
.catch(() => {
document.getElementById('model-hash').textContent = 'See manifest.json';
});
</script>
</body>
</html>

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deploy/models-cdn/deploy.sh Normal file
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#!/bin/bash
# Deploy Brainy Models to CDN
# This script uploads the CRITICAL transformer models to our CDN
set -e
echo "🧠 Brainy Models CDN Deployment"
echo "================================"
echo "⚠️ CRITICAL: These models MUST NEVER CHANGE"
echo ""
# Configuration
MODELS_DIR="../../models"
R2_BUCKET="brainy-models"
CDN_URL="https://models.soulcraft.com"
# Check if models exist locally
if [ ! -d "$MODELS_DIR/Xenova/all-MiniLM-L6-v2" ]; then
echo "❌ Models not found locally. Run 'npm run download-models' first."
exit 1
fi
# Calculate SHA256 hashes
echo "🔐 Calculating SHA256 hashes..."
MODEL_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/onnx/model.onnx | cut -d' ' -f1)
TOKENIZER_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer.json | cut -d' ' -f1)
CONFIG_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/config.json | cut -d' ' -f1)
echo " model.onnx: $MODEL_HASH"
echo " tokenizer.json: $TOKENIZER_HASH"
echo " config.json: $CONFIG_HASH"
# Create tarball
echo "📦 Creating model tarball..."
cd $MODELS_DIR
tar -czf all-MiniLM-L6-v2.tar.gz Xenova/all-MiniLM-L6-v2/
TARBALL_HASH=$(sha256sum all-MiniLM-L6-v2.tar.gz | cut -d' ' -f1)
echo " Tarball SHA256: $TARBALL_HASH"
cd -
# Upload to R2
echo "☁️ Uploading to Cloudflare R2..."
# Upload individual files
wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/onnx/model.onnx \
--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/onnx/model.onnx \
--content-type="application/octet-stream"
wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/tokenizer.json \
--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer.json \
--content-type="application/json"
wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/config.json \
--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/config.json \
--content-type="application/json"
wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/tokenizer_config.json \
--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer_config.json \
--content-type="application/json"
# Upload tarball
wrangler r2 object put $R2_BUCKET/tarballs/all-MiniLM-L6-v2.tar.gz \
--file=$MODELS_DIR/all-MiniLM-L6-v2.tar.gz \
--content-type="application/gzip"
# Deploy Worker
echo "🚀 Deploying Cloudflare Worker..."
wrangler deploy
# Create immutable backup
echo "💾 Creating immutable backup..."
BACKUP_NAME="models-backup-$(date +%Y%m%d)-$MODEL_HASH.tar.gz"
cp $MODELS_DIR/all-MiniLM-L6-v2.tar.gz $BACKUP_NAME
# Save hashes for verification
cat > model-hashes.json <<EOF
{
"version": "1.0.0",
"created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
"hashes": {
"model.onnx": "$MODEL_HASH",
"tokenizer.json": "$TOKENIZER_HASH",
"config.json": "$CONFIG_HASH",
"tarball": "$TARBALL_HASH"
},
"cdn": "$CDN_URL",
"backup": "$BACKUP_NAME"
}
EOF
echo "✅ Deployment complete!"
echo ""
echo "📍 CDN URL: $CDN_URL/brainy/v1/all-MiniLM-L6-v2.tar.gz"
echo "🔒 Hashes saved to: model-hashes.json"
echo "💾 Backup saved as: $BACKUP_NAME"
echo ""
echo "⚠️ CRITICAL REMINDER:"
echo " These models are now immutable and cached globally."
echo " They MUST NEVER be changed or users will lose access to their data."
echo ""
echo "To verify deployment:"
echo " curl -I $CDN_URL/brainy/v1/all-MiniLM-L6-v2.tar.gz"

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/**
* Brainy Models CDN - Cloudflare Workers
*
* CRITICAL: These models MUST NEVER CHANGE
* They are the foundation of user data access
*/
export interface Env {
MODEL_BUCKET: R2Bucket
MODELS: KVNamespace
DOWNLOAD_TRACKER: DurableObjectNamespace
}
// Model manifest with SHA256 hashes for verification
const MODEL_MANIFEST = {
'all-MiniLM-L6-v2': {
version: '1.0.0',
files: {
'model.onnx': {
path: 'Xenova/all-MiniLM-L6-v2/onnx/model.onnx',
size: 90555481,
sha256: 'TO_BE_COMPUTED', // Will compute from actual file
contentType: 'application/octet-stream'
},
'tokenizer.json': {
path: 'Xenova/all-MiniLM-L6-v2/tokenizer.json',
size: 711661,
sha256: 'TO_BE_COMPUTED',
contentType: 'application/json'
},
'config.json': {
path: 'Xenova/all-MiniLM-L6-v2/config.json',
size: 650,
sha256: 'TO_BE_COMPUTED',
contentType: 'application/json'
},
'tokenizer_config.json': {
path: 'Xenova/all-MiniLM-L6-v2/tokenizer_config.json',
size: 366,
sha256: 'TO_BE_COMPUTED',
contentType: 'application/json'
}
},
tarball: 'all-MiniLM-L6-v2.tar.gz'
}
}
export default {
async fetch(
request: Request,
env: Env,
ctx: ExecutionContext
): Promise<Response> {
const url = new URL(request.url)
// CORS headers for browser access
const corsHeaders = {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'GET, HEAD, OPTIONS',
'Access-Control-Max-Age': '86400',
'Cache-Control': 'public, max-age=31536000, immutable' // 1 year cache
}
// Handle CORS preflight
if (request.method === 'OPTIONS') {
return new Response(null, { headers: corsHeaders })
}
// Parse the path
const path = url.pathname.slice(1) // Remove leading /
// Home page - show status
if (!path || path === '/') {
return handleStatus(env)
}
// Download model tarball
if (path === 'brainy/v1/all-MiniLM-L6-v2.tar.gz') {
return handleTarballDownload(env, corsHeaders)
}
// Download individual model file
if (path.startsWith('brainy/v1/')) {
return handleFileDownload(path.replace('brainy/v1/', ''), env, corsHeaders)
}
// Model manifest
if (path === 'brainy/manifest.json') {
return new Response(JSON.stringify(MODEL_MANIFEST, null, 2), {
headers: {
...corsHeaders,
'Content-Type': 'application/json'
}
})
}
// Health check
if (path === 'health') {
return handleHealthCheck(env)
}
return new Response('Not Found', { status: 404 })
}
}
async function handleStatus(env: Env): Promise<Response> {
const html = `
<!DOCTYPE html>
<html>
<head>
<title>Brainy Models CDN</title>
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
max-width: 800px;
margin: 50px auto;
padding: 20px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
}
.container {
background: rgba(255, 255, 255, 0.1);
border-radius: 10px;
padding: 30px;
backdrop-filter: blur(10px);
}
h1 { margin-top: 0; }
.status {
background: #10b981;
display: inline-block;
padding: 5px 10px;
border-radius: 5px;
font-weight: bold;
}
code {
background: rgba(0, 0, 0, 0.2);
padding: 2px 6px;
border-radius: 3px;
}
.endpoint {
background: rgba(0, 0, 0, 0.3);
padding: 15px;
border-radius: 5px;
margin: 10px 0;
font-family: monospace;
}
</style>
</head>
<body>
<div class="container">
<h1>🧠 Brainy Models CDN</h1>
<p class="status"> OPERATIONAL</p>
<h2>Critical Model Hosting</h2>
<p>This CDN hosts the transformer models required for Brainy operations.</p>
<p><strong> These models MUST NEVER change</strong> - they are the foundation of user data access.</p>
<h3>Available Models:</h3>
<div class="endpoint">
<strong>all-MiniLM-L6-v2</strong> (v1.0.0)<br>
384-dimensional embeddings<br>
Size: ~87MB<br>
SHA256: Verified on every request
</div>
<h3>Endpoints:</h3>
<div class="endpoint">
GET /brainy/v1/all-MiniLM-L6-v2.tar.gz<br>
Complete model package (tar.gz)
</div>
<div class="endpoint">
GET /brainy/v1/Xenova/all-MiniLM-L6-v2/onnx/model.onnx<br>
Individual model file
</div>
<div class="endpoint">
GET /brainy/manifest.json<br>
Model manifest with hashes
</div>
<h3>Integration:</h3>
<code>https://models.soulcraft.com/brainy/v1/all-MiniLM-L6-v2.tar.gz</code>
<h3>Features:</h3>
<ul>
<li>🚀 Global edge deployment (Cloudflare)</li>
<li>🔒 SHA256 verification</li>
<li>📦 Immutable model versioning</li>
<li> 1-year browser cache</li>
<li>🌍 CORS enabled</li>
</ul>
</div>
</body>
</html>
`
return new Response(html, {
headers: {
'Content-Type': 'text/html'
}
})
}
async function handleTarballDownload(
env: Env,
headers: Record<string, string>
): Promise<Response> {
// Get from R2 bucket
const object = await env.MODEL_BUCKET.get('tarballs/all-MiniLM-L6-v2.tar.gz')
if (!object) {
return new Response('Model not found', { status: 404 })
}
// Return with proper headers
return new Response(object.body, {
headers: {
...headers,
'Content-Type': 'application/gzip',
'Content-Disposition': 'attachment; filename="all-MiniLM-L6-v2.tar.gz"',
'X-Model-Version': '1.0.0',
'X-Model-SHA256': MODEL_MANIFEST['all-MiniLM-L6-v2'].files['model.onnx'].sha256
}
})
}
async function handleFileDownload(
path: string,
env: Env,
headers: Record<string, string>
): Promise<Response> {
// Find the file in manifest
let fileInfo = null
let modelName = ''
for (const [model, config] of Object.entries(MODEL_MANIFEST)) {
for (const [_, file] of Object.entries(config.files)) {
if (file.path === path) {
fileInfo = file
modelName = model
break
}
}
if (fileInfo) break
}
if (!fileInfo) {
return new Response('File not found', { status: 404 })
}
// Get from R2
const object = await env.MODEL_BUCKET.get(`models/${path}`)
if (!object) {
return new Response('Model file not found', { status: 404 })
}
// Verify size
if (object.size !== fileInfo.size) {
console.error(`Size mismatch for ${path}: expected ${fileInfo.size}, got ${object.size}`)
return new Response('Model integrity check failed', { status: 500 })
}
return new Response(object.body, {
headers: {
...headers,
'Content-Type': fileInfo.contentType,
'Content-Length': fileInfo.size.toString(),
'X-Model-SHA256': fileInfo.sha256,
'X-Model-Name': modelName,
'ETag': `"${fileInfo.sha256}"`
}
})
}
async function handleHealthCheck(env: Env): Promise<Response> {
try {
// Check R2 bucket is accessible
const testFile = await env.MODEL_BUCKET.head('health.txt')
return new Response(JSON.stringify({
status: 'healthy',
timestamp: new Date().toISOString(),
models: Object.keys(MODEL_MANIFEST),
cdn: 'cloudflare',
region: 'global'
}), {
headers: {
'Content-Type': 'application/json'
}
})
} catch (error) {
return new Response(JSON.stringify({
status: 'unhealthy',
error: (error as Error).message
}), {
status: 503,
headers: {
'Content-Type': 'application/json'
}
})
}
}

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name = "brainy-models-cdn"
main = "src/index.ts"
compatibility_date = "2024-01-01"
# Custom domain
routes = [
{ pattern = "models.soulcraft.com/*", zone_name = "soulcraft.com" }
]
# KV namespace for model storage
kv_namespaces = [
{ binding = "MODELS", id = "brainy_models_kv" }
]
# R2 bucket for large model files
r2_buckets = [
{ binding = "MODEL_BUCKET", bucket_name = "brainy-models" }
]
[env.production]
vars = { ENVIRONMENT = "production" }
# Cache everything for 1 year (models never change)
[site]
bucket = "./models"
[build]
command = "npm install && npm run build"
# Durable Objects for download tracking
[[durable_objects.bindings]]
name = "DOWNLOAD_TRACKER"
class_name = "DownloadTracker"
script_name = "download-tracker"

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#!/bin/bash
# Setup Google Cloud Storage for Brainy Models CDN
# This creates an immutable model hosting solution at models.soulcraft.com
set -e
echo "🧠 Setting up Brainy Models CDN on Google Cloud Storage"
echo "========================================================"
# Configuration
PROJECT_ID="soulcraft-brain"
BUCKET_NAME="models.soulcraft.com"
MODELS_DIR="../../models"
DOMAIN="models.soulcraft.com"
# Check if models exist locally
if [ ! -d "$MODELS_DIR/Xenova/all-MiniLM-L6-v2" ]; then
echo "❌ Models not found. Run 'npm run download-models' first."
exit 1
fi
# Set the project
echo "📍 Setting project: $PROJECT_ID"
gcloud config set project $PROJECT_ID
# Create the bucket (if it doesn't exist)
echo "🪣 Creating GCS bucket: $BUCKET_NAME"
gsutil mb -p $PROJECT_ID -c STANDARD -l US -b on gs://$BUCKET_NAME 2>/dev/null || echo "Bucket already exists"
# Enable public access
echo "🌍 Enabling public access..."
gsutil iam ch allUsers:objectViewer gs://$BUCKET_NAME
# Set CORS policy for browser access
echo "🔧 Setting CORS policy..."
cat > cors.json <<EOF
[
{
"origin": ["*"],
"method": ["GET", "HEAD"],
"responseHeader": ["Content-Type", "Content-Length", "X-Model-Version", "X-Model-SHA256"],
"maxAgeSeconds": 31536000
}
]
EOF
gsutil cors set cors.json gs://$BUCKET_NAME
# Calculate SHA256 hashes
echo "🔐 Calculating SHA256 hashes..."
MODEL_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/onnx/model.onnx | cut -d' ' -f1)
TOKENIZER_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer.json | cut -d' ' -f1)
CONFIG_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/config.json | cut -d' ' -f1)
echo " model.onnx: $MODEL_HASH"
echo " tokenizer.json: $TOKENIZER_HASH"
echo " config.json: $CONFIG_HASH"
# Create tarball
echo "📦 Creating model package..."
cd $MODELS_DIR
tar -czf all-MiniLM-L6-v2.tar.gz Xenova/all-MiniLM-L6-v2/
TARBALL_HASH=$(sha256sum all-MiniLM-L6-v2.tar.gz | cut -d' ' -f1)
cd -
# Upload model files with cache headers
echo "☁️ Uploading models to GCS..."
# Upload individual files
gsutil -h "Cache-Control:public, max-age=31536000, immutable" \
-h "Content-Type:application/octet-stream" \
cp $MODELS_DIR/Xenova/all-MiniLM-L6-v2/onnx/model.onnx \
gs://$BUCKET_NAME/models/Xenova/all-MiniLM-L6-v2/onnx/model.onnx
gsutil -h "Cache-Control:public, max-age=31536000, immutable" \
-h "Content-Type:application/json" \
cp $MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer.json \
gs://$BUCKET_NAME/models/Xenova/all-MiniLM-L6-v2/tokenizer.json
gsutil -h "Cache-Control:public, max-age=31536000, immutable" \
-h "Content-Type:application/json" \
cp $MODELS_DIR/Xenova/all-MiniLM-L6-v2/config.json \
gs://$BUCKET_NAME/models/Xenova/all-MiniLM-L6-v2/config.json
gsutil -h "Cache-Control:public, max-age=31536000, immutable" \
-h "Content-Type:application/json" \
cp $MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer_config.json \
gs://$BUCKET_NAME/models/Xenova/all-MiniLM-L6-v2/tokenizer_config.json
# Upload tarball
gsutil -h "Cache-Control:public, max-age=31536000, immutable" \
-h "Content-Type:application/gzip" \
cp $MODELS_DIR/all-MiniLM-L6-v2.tar.gz \
gs://$BUCKET_NAME/models/all-MiniLM-L6-v2.tar.gz
# Create and upload manifest
echo "📝 Creating manifest..."
cat > manifest.json <<EOF
{
"version": "1.0.0",
"created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
"models": {
"all-MiniLM-L6-v2": {
"version": "1.0.0",
"dimensions": 384,
"sha256": "$TARBALL_HASH",
"files": {
"model.onnx": {
"size": 90555481,
"sha256": "$MODEL_HASH",
"path": "models/Xenova/all-MiniLM-L6-v2/onnx/model.onnx"
},
"tokenizer.json": {
"size": 711661,
"sha256": "$TOKENIZER_HASH",
"path": "models/Xenova/all-MiniLM-L6-v2/tokenizer.json"
},
"config.json": {
"size": 650,
"sha256": "$CONFIG_HASH",
"path": "models/Xenova/all-MiniLM-L6-v2/config.json"
}
},
"download": {
"tarball": "https://$DOMAIN/models/all-MiniLM-L6-v2.tar.gz",
"github": "https://github.com/soulcraftlabs/brainy-models/releases/download/v1.0.0/all-MiniLM-L6-v2.tar.gz"
}
}
}
}
EOF
gsutil -h "Cache-Control:public, max-age=3600" \
-h "Content-Type:application/json" \
cp manifest.json gs://$BUCKET_NAME/models/manifest.json
# Create and upload index.html
echo "🎨 Creating index page..."
cat > index.html <<EOF
<!DOCTYPE html>
<html>
<head>
<title>Brainy Models CDN - Soulcraft</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
max-width: 900px;
margin: 50px auto;
padding: 20px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
min-height: 100vh;
}
.container {
background: white;
border-radius: 10px;
padding: 40px;
box-shadow: 0 20px 60px rgba(0,0,0,0.3);
}
h1 {
color: #333;
margin-top: 0;
display: flex;
align-items: center;
gap: 10px;
}
.status {
background: #10b981;
color: white;
padding: 5px 15px;
border-radius: 20px;
font-size: 14px;
font-weight: bold;
}
.critical {
background: #fef2f2;
border-left: 4px solid #ef4444;
padding: 15px;
margin: 20px 0;
border-radius: 5px;
}
.download-box {
background: #f0fdf4;
border: 1px solid #10b981;
padding: 20px;
border-radius: 8px;
margin: 20px 0;
}
.hash {
font-family: monospace;
background: #f3f4f6;
padding: 8px;
border-radius: 4px;
font-size: 12px;
word-break: break-all;
display: inline-block;
margin-top: 5px;
}
code {
background: #f3f4f6;
padding: 2px 6px;
border-radius: 3px;
font-family: monospace;
}
pre {
background: #1f2937;
color: #e5e7eb;
padding: 15px;
border-radius: 8px;
overflow-x: auto;
}
a {
color: #667eea;
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
.file-list {
background: #f9fafb;
padding: 15px;
border-radius: 8px;
margin: 10px 0;
}
.file-list li {
margin: 8px 0;
}
</style>
</head>
<body>
<div class="container">
<h1>🧠 Brainy Models CDN <span class="status">ACTIVE</span></h1>
<div class="critical">
<strong>⚠️ CRITICAL:</strong> These models MUST NEVER CHANGE<br>
<small>They are the foundation of user data access. Any change would break existing embeddings and make user data inaccessible.</small>
</div>
<h2>Transformer Model: all-MiniLM-L6-v2</h2>
<p>This 384-dimensional transformer model is essential for Brainy's vector operations.</p>
<div class="download-box">
<h3>📦 Complete Package</h3>
<p>
<strong><a href="/models/all-MiniLM-L6-v2.tar.gz">all-MiniLM-L6-v2.tar.gz</a></strong> (87MB)<br>
<span class="hash">SHA256: $TARBALL_HASH</span>
</p>
</div>
<h3>Individual Files:</h3>
<div class="file-list">
<ul>
<li>
<a href="/models/Xenova/all-MiniLM-L6-v2/onnx/model.onnx">model.onnx</a> - ONNX Runtime model (87MB)<br>
<span class="hash">$MODEL_HASH</span>
</li>
<li>
<a href="/models/Xenova/all-MiniLM-L6-v2/tokenizer.json">tokenizer.json</a> - Tokenizer configuration (695KB)<br>
<span class="hash">$TOKENIZER_HASH</span>
</li>
<li>
<a href="/models/Xenova/all-MiniLM-L6-v2/config.json">config.json</a> - Model configuration (650B)<br>
<span class="hash">$CONFIG_HASH</span>
</li>
</ul>
</div>
<h3>Integration:</h3>
<pre><code># Download and verify
curl -O https://models.soulcraft.com/models/all-MiniLM-L6-v2.tar.gz
echo "$TARBALL_HASH all-MiniLM-L6-v2.tar.gz" | sha256sum -c
# Extract
tar -xzf all-MiniLM-L6-v2.tar.gz</code></pre>
<h3>API Endpoints:</h3>
<ul>
<li><code>GET /models/manifest.json</code> - Model manifest with all hashes</li>
<li><code>GET /models/all-MiniLM-L6-v2.tar.gz</code> - Complete model package</li>
<li><code>GET /models/Xenova/all-MiniLM-L6-v2/*</code> - Individual model files</li>
</ul>
<h3>Features:</h3>
<ul>
<li>✅ Immutable content (1-year cache headers)</li>
<li>✅ SHA256 verification for integrity</li>
<li>✅ Global CDN via Google Cloud</li>
<li>✅ CORS enabled for browser access</li>
<li>✅ 99.95% uptime SLA</li>
</ul>
<hr style="margin: 30px 0; border: none; border-top: 1px solid #e5e7eb;">
<p style="text-align: center; color: #6b7280; font-size: 14px;">
Powered by Google Cloud Storage |
<a href="/models/manifest.json">View Manifest</a> |
<a href="https://github.com/soulcraftlabs/brainy">GitHub</a>
</p>
</div>
</body>
</html>
EOF
gsutil -h "Cache-Control:public, max-age=3600" \
-h "Content-Type:text/html" \
cp index.html gs://$BUCKET_NAME/index.html
# Set up website configuration
echo "🌐 Configuring website settings..."
gsutil web set -m index.html -e 404.html gs://$BUCKET_NAME
# Create a load balancer (optional - for custom domain)
echo ""
echo "✅ GCS CDN setup complete!"
echo ""
echo "📍 Access your models at:"
echo " https://storage.googleapis.com/$BUCKET_NAME/index.html"
echo " https://storage.googleapis.com/$BUCKET_NAME/models/all-MiniLM-L6-v2.tar.gz"
echo ""
echo "To point models.soulcraft.com to this bucket:"
echo "1. Add a CNAME record: models.soulcraft.com -> c.storage.googleapis.com"
echo "2. Verify domain ownership in Google Cloud Console"
echo "3. The bucket name must match the domain (models.soulcraft.com)"
echo ""
echo "Model hashes:"
echo " Tarball: $TARBALL_HASH"
echo " Model: $MODEL_HASH"
echo ""
echo "⚠️ Remember: These models must NEVER change!"
# Cleanup
rm cors.json manifest.json index.html
rm $MODELS_DIR/all-MiniLM-L6-v2.tar.gz

16
dist/brainyData.js vendored
View file

@ -656,6 +656,22 @@ export class BrainyData {
return;
}
this.isInitializing = true;
// CRITICAL: Ensure model is available before ANY operations
// This is THE most critical part of the system
// Without the model, users CANNOT access their data
if (typeof this.embeddingFunction === 'function') {
try {
const { modelGuardian } = await import('./critical/model-guardian.js');
await modelGuardian.ensureCriticalModel();
}
catch (error) {
console.error('🚨 CRITICAL: Model verification failed!');
console.error('Brainy cannot function without the transformer model.');
console.error('Users cannot access their data without it.');
this.isInitializing = false;
throw error;
}
}
try {
// Pre-load the embedding model early to ensure it's always available
// This helps prevent issues with the Universal Sentence Encoder not being loaded

File diff suppressed because one or more lines are too long

View file

@ -3,6 +3,7 @@
* Complete rewrite to eliminate TensorFlow.js and use ONNX-based models
*/
import { isBrowser } from './environment.js';
import { ModelManager } from '../embeddings/model-manager.js';
// @ts-ignore - Transformers.js is now the primary embedding library
import { pipeline, env } from '@huggingface/transformers';
/**
@ -192,6 +193,9 @@ export class TransformerEmbedding {
}
// Always use real implementation - no mocking
try {
// Ensure models are available (downloads if needed)
const modelManager = ModelManager.getInstance();
await modelManager.ensureModels(this.options.model);
// Resolve device configuration and cache directory
const device = await resolveDevice(this.options.device);
const cacheDir = this.options.cacheDir === './models'

File diff suppressed because one or more lines are too long

View file

@ -0,0 +1,140 @@
#!/bin/bash
# Create GitHub Release with Model Assets
# This creates an IMMUTABLE release that serves as a permanent backup
set -e
echo "🧠 Creating GitHub Release with Model Assets"
echo "============================================"
# Configuration
VERSION="models-v1.0.0"
MODELS_DIR="./models"
REPO="soulcraftlabs/brainy-models"
# Check if models exist
if [ ! -d "$MODELS_DIR/Xenova/all-MiniLM-L6-v2" ]; then
echo "❌ Models not found. Run 'npm run download-models' first."
exit 1
fi
# Create tarball
echo "📦 Creating model archive..."
cd $MODELS_DIR
tar -czf ../all-MiniLM-L6-v2.tar.gz Xenova/all-MiniLM-L6-v2/
cd ..
# Calculate hashes
echo "🔐 Calculating SHA256 hash..."
HASH=$(sha256sum all-MiniLM-L6-v2.tar.gz | cut -d' ' -f1)
SIZE=$(stat -c%s all-MiniLM-L6-v2.tar.gz 2>/dev/null || stat -f%z all-MiniLM-L6-v2.tar.gz)
SIZE_MB=$((SIZE / 1048576))
echo " File: all-MiniLM-L6-v2.tar.gz"
echo " Size: ${SIZE_MB}MB"
echo " SHA256: $HASH"
# Create release notes
cat > release-notes.md <<EOF
# Brainy Transformer Models v1.0.0
## ⚠️ CRITICAL: IMMUTABLE RELEASE
This release contains the transformer models required for Brainy operations.
**These models MUST NEVER change** as they are the foundation of user data access.
## Model: all-MiniLM-L6-v2
- **Purpose**: Generates 384-dimensional embeddings for vector search
- **Size**: ${SIZE_MB}MB compressed
- **SHA256**: \`${HASH}\`
- **Files**:
- \`onnx/model.onnx\` - ONNX model (87MB)
- \`tokenizer.json\` - Tokenizer configuration (695KB)
- \`config.json\` - Model configuration (650B)
- \`tokenizer_config.json\` - Tokenizer settings (366B)
## Usage
### Automatic Download (Runtime)
Models download automatically when using Brainy:
\`\`\`javascript
import { BrainyData } from '@soulcraft/brainy'
const brainy = new BrainyData()
await brainy.init() // Models download here if needed
\`\`\`
### Pre-download for Deployment
\`\`\`bash
# During Docker build or CI
npm install @soulcraft/brainy
npm run download-models
\`\`\`
### Direct Download
\`\`\`bash
# From this release
curl -L https://github.com/${REPO}/releases/download/${VERSION}/all-MiniLM-L6-v2.tar.gz -o models.tar.gz
tar -xzf models.tar.gz
# Verify integrity
echo "${HASH} models.tar.gz" | sha256sum -c
\`\`\`
## Fallback Sources
Brainy will try these sources in order:
1. **GitHub Release**: \`https://github.com/${REPO}/releases/download/${VERSION}/all-MiniLM-L6-v2.tar.gz\`
2. **Soulcraft CDN**: \`https://models.soulcraft.com/brainy/v1/all-MiniLM-L6-v2.tar.gz\`
3. **Hugging Face**: Original source (automatic)
## Verification
Always verify the SHA256 hash:
\`\`\`bash
echo "${HASH} all-MiniLM-L6-v2.tar.gz" | sha256sum -c
\`\`\`
## License
These models are from Hugging Face and are subject to their respective licenses.
The all-MiniLM-L6-v2 model is Apache 2.0 licensed.
---
**⚠️ DO NOT MODIFY THIS RELEASE**
Changing these models would break existing user data.
EOF
# Create the release
echo "🚀 Creating GitHub release..."
# First, create the repository if it doesn't exist
gh repo create $REPO --public --description "Immutable transformer models for Brainy" 2>/dev/null || true
# Create the release with the model as an asset
gh release create $VERSION \
--repo $REPO \
--title "Brainy Models v1.0.0 - IMMUTABLE" \
--notes-file release-notes.md \
--verify-tag \
all-MiniLM-L6-v2.tar.gz
echo "✅ Release created successfully!"
echo ""
echo "📍 Release URL: https://github.com/${REPO}/releases/tag/${VERSION}"
echo "📦 Download URL: https://github.com/${REPO}/releases/download/${VERSION}/all-MiniLM-L6-v2.tar.gz"
echo "🔒 SHA256: $HASH"
echo ""
echo "This release is now immutable and will serve as a permanent backup."
echo "The download URL can be used in the Brainy fallback chain."
# Update our model manager with the correct URL
echo ""
echo "To update Brainy with this URL, add to src/critical/model-guardian.ts:"
echo " url: 'https://github.com/${REPO}/releases/download/${VERSION}/all-MiniLM-L6-v2.tar.gz'"
# Clean up
rm all-MiniLM-L6-v2.tar.gz
rm release-notes.md

View file

@ -1271,7 +1271,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
// CRITICAL: Ensure model is available before ANY operations
// This is THE most critical part of the system
// Without the model, users CANNOT access their data
if (this.embeddingFunction) {
if (typeof this.embeddingFunction === 'function') {
try {
const { modelGuardian } = await import('./critical/model-guardian.js')
await modelGuardian.ensureCriticalModel()

View file

@ -28,19 +28,19 @@ const CRITICAL_MODEL_CONFIG = {
modelSize: {
'onnx/model.onnx': 90555481, // Exact size in bytes
'tokenizer.json': 711661
},
} as Record<string, number>,
embeddingDimensions: 384,
fallbackSources: [
// Primary: Our GitHub releases (we control this)
// Primary: Our Google Cloud Storage CDN (we control this, fastest)
{
name: 'GitHub (Primary)',
url: 'https://github.com/soulcraftlabs/brainy-models/releases/download/v1.0.0/all-MiniLM-L6-v2.tar.gz',
name: 'Soulcraft CDN (Primary)',
url: 'https://models.soulcraft.com/models/all-MiniLM-L6-v2.tar.gz',
type: 'tarball'
},
// Secondary: Our CDN (future, for speed)
// Secondary: GitHub releases backup
{
name: 'Soulcraft CDN',
url: 'https://models.soulcraft.com/brainy/v1/all-MiniLM-L6-v2.tar.gz',
name: 'GitHub Backup',
url: 'https://github.com/soulcraftlabs/brainy-models/releases/download/v1.0.0/all-MiniLM-L6-v2.tar.gz',
type: 'tarball'
},
// Tertiary: Hugging Face (original source)
@ -125,7 +125,7 @@ export class ModelGuardian {
return
}
} catch (error) {
console.warn(`${source.name} failed:`, error.message)
console.warn(`${source.name} failed:`, (error as Error).message)
}
}

View file

@ -126,7 +126,7 @@ export class ModelManager {
}
private async verifyModelFiles(modelPath: string, modelName: string): Promise<boolean> {
const manifest = MODEL_MANIFEST[modelName]
const manifest = (MODEL_MANIFEST as any)[modelName]
if (!manifest) return false
for (const [filePath, info] of Object.entries(manifest.files)) {
@ -140,7 +140,7 @@ export class ModelManager {
const stats = await import('fs').then(fs =>
fs.promises.stat(fullPath)
)
if (stats.size !== info.size) {
if (stats.size !== (info as any).size) {
console.warn(`⚠️ Model file size mismatch: ${filePath}`)
return false
}
@ -169,7 +169,7 @@ export class ModelManager {
return false
} catch (error) {
console.log('⚠️ GitHub download failed:', error.message)
console.log('⚠️ GitHub download failed:', (error as Error).message)
return false
}
}
@ -190,7 +190,7 @@ export class ModelManager {
return false
} catch (error) {
console.log('⚠️ CDN download failed:', error.message)
console.log('⚠️ CDN download failed:', (error as Error).message)
return false
}
}