**Built with ❤️ and intelligent coordination by [Parallax Analytics](https://parallax-ai.app)**
diff --git a/VERTEX_AI_SETUP.md b/VERTEX_AI_SETUP.md
new file mode 100644
index 00000000..a7bd63a5
--- /dev/null
+++ b/VERTEX_AI_SETUP.md
@@ -0,0 +1,274 @@
+# Vertex AI Connector Setup Guide
+
+This guide explains how to set up and use the Vertex AI connector with real Google Cloud credentials for comprehensive testing of Google AI services (Imagen4, Veo3, Multi-modal Streaming API).
+
+## Prerequisites
+
+1. **Google Cloud Project**: You need a Google Cloud Project with Vertex AI API enabled
+2. **Authentication**: One of the following:
+ - Service Account Key file
+ - Application Default Credentials (ADC)
+ - Environment variables
+
+## Installation Requirements
+
+Install the required Google Cloud packages:
+
+```bash
+npm install @google-cloud/vertexai google-auth-library
+```
+
+## Authentication Methods
+
+### Method 1: Service Account Key File (Recommended for testing)
+
+1. **Create a Service Account**:
+ - Go to [Google Cloud Console](https://console.cloud.google.com/)
+ - Navigate to IAM & Admin > Service Accounts
+ - Click "Create Service Account"
+ - Grant Vertex AI User role
+
+2. **Download Key File**:
+ - Create and download the JSON key file
+ - Place it in a secure location (e.g., `/path/to/service-account-key.json`)
+
+3. **Configure the Connector**:
+
+```javascript
+import { VertexAIConnector } from './src/core/vertex-ai-connector.js';
+
+const config = {
+ projectId: 'your-gcp-project-id',
+ location: 'us-central1',
+ serviceAccountPath: '/path/to/service-account-key.json',
+ maxConcurrentRequests: 5,
+ requestTimeout: 30000,
+};
+
+const vertexAI = new VertexAIConnector(config);
+```
+
+### Method 2: Application Default Credentials (ADC)
+
+1. **Set Environment Variables**:
+
+```bash
+export GOOGLE_CLOUD_PROJECT="your-gcp-project-id"
+export GOOGLE_CLOUD_LOCATION="us-central1"
+export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"
+```
+
+2. **Configure the Connector**:
+
+```javascript
+const config = {
+ projectId: process.env.GOOGLE_CLOUD_PROJECT,
+ location: process.env.GOOGLE_CLOUD_LOCATION || 'us-central1',
+ maxConcurrentRequests: 10,
+ requestTimeout: 30000,
+};
+
+const vertexAI = new VertexAIConnector(config);
+```
+
+### Method 3: Inline Credentials
+
+```javascript
+const config = {
+ projectId: 'your-gcp-project-id',
+ location: 'us-central1',
+ credentials: {
+ type: 'service_account',
+ project_id: 'your-gcp-project-id',
+ private_key_id: 'your-private-key-id',
+ private_key: '-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n',
+ client_email: 'your-service-account@your-project.iam.gserviceaccount.com',
+ client_id: 'your-client-id',
+ auth_uri: 'https://accounts.google.com/o/oauth2/auth',
+ token_uri: 'https://oauth2.googleapis.com/token',
+ auth_provider_x509_cert_url: 'https://www.googleapis.com/oauth2/v1/certs',
+ client_x509_cert_url: 'https://www.googleapis.com/robot/v1/metadata/x509/...',
+ },
+ maxConcurrentRequests: 5,
+ requestTimeout: 30000,
+};
+
+const vertexAI = new VertexAIConnector(config);
+```
+
+## Usage Examples
+
+### Basic Text Generation
+
+```javascript
+const response = await vertexAI.predict({
+ model: 'gemini-2.5-flash',
+ instances: ['What is machine learning?'],
+ parameters: {
+ maxOutputTokens: 100,
+ temperature: 0.7,
+ },
+});
+
+console.log(response.predictions[0].content);
+```
+
+### Batch Processing
+
+```javascript
+const instances = [
+ 'Explain quantum computing',
+ 'What is artificial intelligence?',
+ 'Describe machine learning',
+];
+
+const response = await vertexAI.batchPredict(
+ 'gemini-2.5-flash',
+ instances,
+ { maxOutputTokens: 100, temperature: 0.7 },
+ 2, // chunk size
+);
+
+console.log('Processed', response.predictions.length, 'requests');
+```
+
+### Health Check
+
+```javascript
+const healthStatus = await vertexAI.healthCheck();
+console.log('Health Status:', healthStatus);
+```
+
+## Available Models
+
+The connector supports these Vertex AI models:
+
+| Model | Description | Context Window | Best For |
+|-------|-------------|----------------|----------|
+| `gemini-2.5-pro` | Advanced reasoning and code | 2M tokens | Complex tasks, coding |
+| `gemini-2.5-flash` | Fast responses | 1M tokens | Quick interactions |
+| `gemini-2.0-flash` | Balanced performance | 1M tokens | General use |
+| `gemini-2.5-deep-think` | Deep reasoning (Preview) | 2M tokens | Complex problem-solving |
+
+## Error Handling
+
+The connector provides comprehensive error handling:
+
+```javascript
+try {
+ const response = await vertexAI.predict({
+ model: 'gemini-2.5-flash',
+ instances: ['Hello, Vertex AI!'],
+ });
+
+ console.log('Success:', response);
+} catch (error) {
+ console.error('Error:', error.message);
+
+ // Common error scenarios:
+ if (error.message.includes('PERMISSION_DENIED')) {
+ console.log('Check your service account permissions');
+ } else if (error.message.includes('QUOTA_EXCEEDED')) {
+ console.log('API quota exceeded');
+ } else if (error.message.includes('INVALID_ARGUMENT')) {
+ console.log('Check your request parameters');
+ }
+}
+```
+
+## Performance Monitoring
+
+The connector provides built-in performance monitoring:
+
+```javascript
+// Get performance metrics
+const metrics = vertexAI.getMetrics();
+console.log('Total Requests:', metrics.totalRequests);
+console.log('Success Rate:', metrics.successRate);
+console.log('Average Latency:', metrics.avgLatency);
+
+// Listen to events
+vertexAI.on('request_completed', (data) => {
+ console.log('Request completed:', data.model, data.latency + 'ms');
+});
+
+vertexAI.on('request_failed', (data) => {
+ console.log('Request failed:', data.model, data.error);
+});
+```
+
+## Configuration Options
+
+| Option | Type | Default | Description |
+|--------|------|---------|-------------|
+| `projectId` | string | Required | Your Google Cloud Project ID |
+| `location` | string | Required | Vertex AI location (e.g., 'us-central1') |
+| `apiEndpoint` | string | Optional | Custom API endpoint |
+| `credentials` | object | Optional | Inline credentials |
+| `serviceAccountPath` | string | Optional | Path to service account key file |
+| `maxConcurrentRequests` | number | 10 | Maximum concurrent requests |
+| `requestTimeout` | number | 30000 | Request timeout in milliseconds |
+
+## Security Best Practices
+
+1. **Never commit credentials** to version control
+2. **Use environment variables** for sensitive configuration
+3. **Rotate service account keys** regularly
+4. **Grant minimal permissions** to service accounts
+5. **Monitor API usage** for unusual activity
+
+## Troubleshooting
+
+### Common Issues
+
+1. **Authentication Errors**:
+ - Verify your service account has Vertex AI User permissions
+ - Check that your credentials file is valid JSON
+ - Ensure the service account key hasn't expired
+
+2. **Quota Errors**:
+ - Check your Google Cloud quotas in the console
+ - Implement retry logic with exponential backoff
+ - Consider upgrading your billing plan
+
+3. **Model Not Found**:
+ - Verify the model name is correct
+ - Check if the model is available in your region
+ - Ensure your project has access to the model
+
+4. **Network Issues**:
+ - Check your internet connection
+ - Verify firewall settings allow HTTPS traffic
+ - Consider using a proxy if needed
+
+### Debugging
+
+Enable detailed logging:
+
+```javascript
+// The connector uses the Logger class for debugging
+// Set log level to 'debug' for detailed output
+const logger = new Logger('VertexAIConnector', 'debug');
+```
+
+## Next Steps
+
+1. Set up your Google Cloud Project and authentication
+2. Run the example scripts to test connectivity
+3. Integrate the connector into your test suites
+4. Monitor performance and costs in Google Cloud Console
+5. Implement proper error handling and retries
+
+## Support
+
+For issues related to:
+- **Google Cloud Setup**: Check [Google Cloud Documentation](https://cloud.google.com/docs)
+- **Vertex AI API**: See [Vertex AI Documentation](https://cloud.google.com/vertex-ai/docs)
+- **Authentication**: Review [Google Auth Library Documentation](https://github.com/googleapis/google-auth-library-nodejs)
+
+## Costs
+
+Vertex AI pricing varies by model and usage. Monitor costs in:
+- Google Cloud Console > Billing
+- Vertex AI > Monitor > Quotas and limits
+- Set up budget alerts for cost control
\ No newline at end of file
diff --git a/docs/architecture/build-deployment-architecture-specification.md b/docs/architecture/build-deployment-architecture-specification.md
new file mode 100644
index 00000000..e6dfd92a
--- /dev/null
+++ b/docs/architecture/build-deployment-architecture-specification.md
@@ -0,0 +1,1020 @@
+# Build and Deployment Architecture Specification
+
+## Overview
+
+This document defines the comprehensive build and deployment architecture for the gemini-flow project, ensuring scalable, secure, and maintainable delivery of the AI coordination framework to 50K+ concurrent users.
+
+## 1. Build System Architecture
+
+### 1.1 Multi-Stage Build Pipeline
+
+```
+Development → Testing → Build → Package → Deploy
+ ↓ ↓ ↓ ↓ ↓
+ Local Dev Unit/Int Clean Docker K8s/Cloud
+ Testing Testing Build Images Deploy
+```
+
+### 1.2 Build Tooling Strategy
+
+#### Primary Build Tools
+- **TypeScript**: Core compilation engine (`tsc --project tsconfig.*.json`)
+- **Rollup**: Advanced bundling for optimized production bundles
+- **Webpack**: Alternative bundling for complex dependency scenarios
+- **esbuild**: Fast compilation for development builds
+
+#### Quality Assurance Tools
+- **ESLint + Prettier**: Code quality and formatting
+- **TypeScript**: Strict type checking and compilation
+- **Jest**: Comprehensive testing framework
+- **Husky + lint-staged**: Git workflow integration
+
+#### Build Configuration Files
+```typescript
+// tsconfig.production.json
+{
+ "extends": "./tsconfig.json",
+ "compilerOptions": {
+ "target": "ES2020",
+ "module": "ESNext",
+ "moduleResolution": "node",
+ "declaration": true,
+ "outDir": "./dist",
+ "removeComments": true,
+ "strict": true,
+ "noUnusedLocals": true,
+ "noUnusedParameters": true,
+ "skipLibCheck": true
+ },
+ "include": [
+ "src/**/*"
+ ],
+ "exclude": [
+ "**/*.test.ts",
+ "**/*.spec.ts",
+ "tests/**/*"
+ ]
+}
+```
+
+### 1.3 Build Optimization Strategy
+
+#### Bundle Splitting
+- **Core Library**: Essential AI coordination functionality
+- **CLI Tools**: Command-line interface components
+- **MCP Integration**: Model Context Protocol bridges
+- **Google Services**: Google AI service adapters
+- **Testing Framework**: Test utilities and mocks
+
+#### Code Splitting
+```javascript
+// Dynamic imports for lazy loading
+const { AgentSpaceInitializer } = await import('./agentspace/AgentSpaceInitializer');
+const { MCPBridge } = await import('./agentspace/integrations/MCPBridge');
+const { GoogleAIIntegration } = await import('./workspace/google-integration');
+```
+
+#### Tree Shaking Configuration
+```javascript
+// rollup.config.js
+export default {
+ input: 'src/index.ts',
+ output: {
+ dir: 'dist',
+ format: 'es',
+ sourcemap: true
+ },
+ external: ['node:fs', 'node:path'],
+ plugins: [
+ resolve({ preferBuiltins: true }),
+ commonjs(),
+ typescript(),
+ terser({
+ compress: {
+ drop_console: process.env.NODE_ENV === 'production',
+ drop_debugger: true
+ }
+ })
+ ]
+};
+```
+
+## 2. Containerization Strategy
+
+### 2.1 Multi-Stage Docker Architecture
+
+#### Development Container
+```dockerfile
+# Dockerfile.dev
+FROM node:20-alpine AS development
+
+# Install system dependencies
+RUN apk add --no-cache git python3 make g++
+
+# Set working directory
+WORKDIR /app
+
+# Copy package files
+COPY package*.json ./
+RUN npm install
+
+# Copy source code
+COPY . .
+
+# Expose ports
+EXPOSE 3000 8080
+
+# Start development server
+CMD ["npm", "run", "dev"]
+```
+
+#### Production Container
+```dockerfile
+# Dockerfile.prod
+FROM node:20-alpine AS base
+
+# Install system dependencies
+RUN apk add --no-cache dumb-init
+
+# Create non-root user
+RUN addgroup -g 1001 -S nodejs
+RUN adduser -S gemini -u 1001
+
+WORKDIR /app
+
+# Copy package files
+COPY package*.json ./
+
+# Install production dependencies only
+RUN npm ci --only=production && npm cache clean --force
+
+# Copy built application
+COPY --chown=gemini:nodejs dist/ ./dist/
+
+# Switch to non-root user
+USER gemini
+
+# Use dumb-init for proper signal handling
+ENTRYPOINT ["dumb-init", "--"]
+CMD ["node", "dist/index.js"]
+```
+
+#### Build Container
+```dockerfile
+# Dockerfile.build
+FROM node:20-alpine AS build
+
+# Install build dependencies
+RUN apk add --no-cache git python3 make g++
+
+WORKDIR /app
+
+# Copy package files
+COPY package*.json ./
+
+# Install all dependencies (including dev dependencies)
+RUN npm ci
+
+# Copy source code
+COPY . .
+
+# Build application
+RUN npm run build:full
+
+# Production stage
+FROM node:20-alpine AS production
+
+# Install production dependencies only
+RUN apk add --no-cache dumb-init
+
+RUN addgroup -g 1001 -S nodejs
+RUN adduser -S gemini -u 1001
+
+WORKDIR /app
+
+COPY package*.json ./
+RUN npm ci --only=production && npm cache clean --force
+
+COPY --from=build --chown=gemini:nodejs /app/dist ./dist
+
+USER gemini
+
+ENTRYPOINT ["dumb-init", "--"]
+CMD ["node", "dist/index.js"]
+```
+
+### 2.2 Container Security Hardening
+
+#### Security Features
+- **Non-root user**: Application runs as dedicated user
+- **Minimal base image**: Alpine Linux for reduced attack surface
+- **Multi-stage builds**: No build tools in production image
+- **Dependency scanning**: Automated vulnerability scanning
+- **Image signing**: Cryptographic verification of images
+
+#### Runtime Security
+```yaml
+# docker-compose.security.yml
+version: '3.8'
+services:
+ gemini-flow:
+ build:
+ context: .
+ dockerfile: Dockerfile.prod
+ security_opt:
+ - no-new-privileges:true
+ cap_drop:
+ - ALL
+ read_only: true
+ tmpfs:
+ - /tmp:noexec,nosuid,size=100m
+ environment:
+ - NODE_ENV=production
+ secrets:
+ - google_service_account
+ - database_credentials
+```
+
+## 3. Deployment Pipeline Architecture
+
+### 3.1 CI/CD Pipeline Design
+
+#### Pipeline Stages
+1. **Source Code Management**: Git hooks and validation
+2. **Build & Test**: Compilation, unit tests, integration tests
+3. **Security Scanning**: Vulnerability assessment, dependency analysis
+4. **Package & Artifact**: Container building, artifact generation
+5. **Deployment**: Environment-specific deployment strategies
+6. **Verification**: Health checks, smoke tests, monitoring setup
+
+#### Git Workflow Integration
+```yaml
+# .github/workflows/ci.yml
+name: CI/CD Pipeline
+on:
+ push:
+ branches: [main, develop]
+ pull_request:
+ branches: [main]
+
+jobs:
+ validate:
+ name: Validate Code
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - uses: actions/setup-node@v4
+ with:
+ node-version: '20'
+ cache: 'npm'
+
+ - name: Install dependencies
+ run: npm ci
+
+ - name: Type checking
+ run: npm run typecheck:full
+
+ - name: Lint code
+ run: npm run lint
+
+ - name: Format check
+ run: npm run format:check
+
+ test:
+ name: Run Tests
+ runs-on: ubuntu-latest
+ strategy:
+ matrix:
+ test-type: [unit, integration, performance]
+ steps:
+ - uses: actions/checkout@v4
+ - uses: actions/setup-node@v4
+ with:
+ node-version: '20'
+ cache: 'npm'
+
+ - name: Install dependencies
+ run: npm ci
+
+ - name: Run ${{ matrix.test-type }} tests
+ run: npm run test:${{ matrix.test-type }}
+
+ - name: Upload coverage
+ uses: codecov/codecov-action@v3
+ with:
+ token: ${{ secrets.CODECOV_TOKEN }}
+
+ build:
+ name: Build Application
+ runs-on: ubuntu-latest
+ needs: [validate, test]
+ steps:
+ - uses: actions/checkout@v4
+ - uses: docker/setup-buildx-action@v3
+
+ - name: Build Docker image
+ uses: docker/build-push-action@v5
+ with:
+ context: .
+ push: false
+ tags: gemini-flow:${{ github.sha }}
+ cache-from: type=gha
+ cache-to: type=gha,mode=max
+
+ - name: Run Trivy vulnerability scanner
+ uses: aquasecurity/trivy-action@master
+ with:
+ image-ref: gemini-flow:${{ github.sha }}
+ format: 'sarif'
+ output: 'trivy-results.sarif'
+
+ - name: Upload Trivy scan results
+ uses: github/codeql-action/upload-sarif@v2
+ with:
+ sarif_file: 'trivy-results.sarif'
+```
+
+### 3.2 Deployment Strategies
+
+#### Blue-Green Deployment
+```yaml
+# k8s/blue-green-deployment.yml
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+ name: gemini-flow-green
+spec:
+ replicas: 3
+ selector:
+ matchLabels:
+ app: gemini-flow
+ version: green
+ template:
+ metadata:
+ labels:
+ app: gemini-flow
+ version: green
+ spec:
+ containers:
+ - name: gemini-flow
+ image: gemini-flow:${IMAGE_TAG}
+ ports:
+ - containerPort: 3000
+ env:
+ - name: NODE_ENV
+ value: "production"
+ readinessProbe:
+ httpGet:
+ path: /health
+ port: 3000
+ initialDelaySeconds: 30
+ periodSeconds: 10
+ livenessProbe:
+ httpGet:
+ path: /health
+ port: 3000
+ initialDelaySeconds: 60
+ periodSeconds: 30
+```
+
+#### Canary Deployment
+```yaml
+# k8s/canary-deployment.yml
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+ name: gemini-flow-canary
+spec:
+ replicas: 1
+ selector:
+ matchLabels:
+ app: gemini-flow
+ version: canary
+ template:
+ metadata:
+ labels:
+ app: gemini-flow
+ version: canary
+ spec:
+ containers:
+ - name: gemini-flow
+ image: gemini-flow:${CANARY_IMAGE_TAG}
+ resources:
+ limits:
+ cpu: 500m
+ memory: 1Gi
+ requests:
+ cpu: 100m
+ memory: 256Mi
+```
+
+#### Rolling Update Strategy
+```yaml
+# k8s/rolling-deployment.yml
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+ name: gemini-flow
+spec:
+ replicas: 5
+ strategy:
+ type: RollingUpdate
+ rollingUpdate:
+ maxSurge: 1
+ maxUnavailable: 1
+ selector:
+ matchLabels:
+ app: gemini-flow
+ template:
+ metadata:
+ labels:
+ app: gemini-flow
+ spec:
+ containers:
+ - name: gemini-flow
+ image: gemini-flow:${IMAGE_TAG}
+ resources:
+ limits:
+ cpu: 1000m
+ memory: 2Gi
+ requests:
+ cpu: 500m
+ memory: 1Gi
+```
+
+## 4. Environment Management
+
+### 4.1 Environment Configuration Strategy
+
+#### Environment-Specific Configuration
+```typescript
+// config/environments/production.ts
+export const productionConfig = {
+ server: {
+ port: process.env.PORT || 3000,
+ host: '0.0.0.0',
+ timeout: 30000
+ },
+ googleAI: {
+ projectId: process.env.GOOGLE_CLOUD_PROJECT,
+ location: 'us-central1',
+ apiKey: process.env.GOOGLE_AI_API_KEY
+ },
+ database: {
+ url: process.env.DATABASE_URL,
+ ssl: true,
+ pool: {
+ min: 5,
+ max: 20,
+ acquire: 30000,
+ idle: 10000
+ }
+ },
+ logging: {
+ level: 'warn',
+ format: 'json',
+ destination: 'gcp-logging'
+ },
+ monitoring: {
+ enabled: true,
+ metricsPort: 9090,
+ tracing: {
+ enabled: true,
+ sampleRate: 0.1
+ }
+ }
+};
+```
+
+### 4.2 Infrastructure as Code
+
+#### Kubernetes Manifests
+```yaml
+# k8s/configmap.yml
+apiVersion: v1
+kind: ConfigMap
+metadata:
+ name: gemini-flow-config
+data:
+ NODE_ENV: "production"
+ LOG_LEVEL: "warn"
+ METRICS_ENABLED: "true"
+ GOOGLE_CLOUD_PROJECT: "gemini-flow-prod"
+ REDIS_URL: "redis://redis-master:6379"
+```
+
+#### Helm Charts
+```yaml
+# helm/gemini-flow/Chart.yaml
+apiVersion: v2
+name: gemini-flow
+description: AI coordination framework deployment
+type: application
+version: 1.3.3
+appVersion: "1.3.3"
+keywords:
+ - ai
+ - coordination
+ - google-ai
+ - kubernetes
+home: https://github.com/claude-ai/gemini-flow
+sources:
+ - https://github.com/claude-ai/gemini-flow
+maintainers:
+ - name: Claude AI Team
+```
+
+## 5. Artifact Management
+
+### 5.1 Artifact Repository Strategy
+
+#### Docker Registry Configuration
+```yaml
+# .github/workflows/docker-publish.yml
+name: Publish Docker Image
+on:
+ release:
+ types: [published]
+ workflow_dispatch:
+
+jobs:
+ build-and-push:
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v4
+
+ - name: Set up Docker Buildx
+ uses: docker/setup-buildx-action@v3
+
+ - name: Log in to Docker Hub
+ uses: docker/login-action@v3
+ with:
+ username: ${{ secrets.DOCKER_USERNAME }}
+ password: ${{ secrets.DOCKER_PASSWORD }}
+
+ - name: Extract metadata
+ id: meta
+ uses: docker/metadata-action@v5
+ with:
+ images: claudeai/gemini-flow
+ tags: |
+ type=ref,event=branch
+ type=ref,event=pr
+ type=semver,pattern={{version}}
+ type=semver,pattern={{major}}.{{minor}}
+ type=raw,value=latest,enable={{is_default_branch}}
+
+ - name: Build and push Docker image
+ uses: docker/build-push-action@v5
+ with:
+ context: .
+ platforms: linux/amd64,linux/arm64
+ push: true
+ tags: ${{ steps.meta.outputs.tags }}
+ labels: ${{ steps.meta.outputs.labels }}
+ cache-from: type=gha
+ cache-to: type=gha,mode=max
+```
+
+### 5.2 Version Management
+
+#### Semantic Versioning Strategy
+- **Major Version**: Breaking changes, architectural updates
+- **Minor Version**: New features, backward-compatible changes
+- **Patch Version**: Bug fixes, security updates, performance improvements
+
+#### Release Management
+```yaml
+# .github/workflows/release.yml
+name: Release
+on:
+ push:
+ tags:
+ - 'v*.*.*'
+
+jobs:
+ release:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ with:
+ fetch-depth: 0
+
+ - uses: actions/setup-node@v4
+ with:
+ node-version: '20'
+ cache: 'npm'
+
+ - name: Install dependencies
+ run: npm ci
+
+ - name: Run tests
+ run: npm run test
+
+ - name: Build
+ run: npm run build:full
+
+ - name: Release
+ env:
+ GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+ NPM_TOKEN: ${{ secrets.NPM_TOKEN }}
+ run: npx semantic-release
+```
+
+## 6. Monitoring and Observability Integration
+
+### 6.1 Build-Time Monitoring Setup
+
+#### Metrics Collection
+```typescript
+// src/monitoring/build-metrics.ts
+export class BuildMetrics {
+ static recordBuildTime(stage: string, duration: number) {
+ // Record build stage timing
+ console.log(`Build stage ${stage} completed in ${duration}ms`);
+ }
+
+ static recordBundleSize(bundleName: string, size: number) {
+ // Record bundle size metrics
+ console.log(`Bundle ${bundleName} size: ${size} bytes`);
+ }
+
+ static recordTestResults(testSuite: string, passed: number, failed: number) {
+ // Record test execution results
+ console.log(`Test suite ${testSuite}: ${passed} passed, ${failed} failed`);
+ }
+}
+```
+
+### 6.2 Deployment Verification
+
+#### Health Check Endpoints
+```typescript
+// src/health/health-check.ts
+import express from 'express';
+
+const router = express.Router();
+
+router.get('/health', (req, res) => {
+ res.json({
+ status: 'healthy',
+ timestamp: new Date().toISOString(),
+ version: process.env.npm_package_version,
+ uptime: process.uptime()
+ });
+});
+
+router.get('/readiness', async (req, res) => {
+ try {
+ // Check database connectivity
+ await checkDatabaseConnection();
+
+ // Check external services
+ await checkGoogleAIConnectivity();
+
+ // Check Redis connectivity
+ await checkRedisConnection();
+
+ res.json({ status: 'ready' });
+ } catch (error) {
+ res.status(503).json({ status: 'not ready', error: error.message });
+ }
+});
+
+export default router;
+```
+
+## 7. Security Integration
+
+### 7.1 Build-Time Security
+
+#### Dependency Scanning
+```yaml
+# .github/workflows/security.yml
+name: Security Scan
+on:
+ push:
+ branches: [main]
+ pull_request:
+ branches: [main]
+
+jobs:
+ security:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Run npm audit
+ run: npm audit --audit-level moderate
+
+ - name: Run Snyk
+ uses: snyk/actions/node@master
+ env:
+ SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
+ with:
+ args: --severity-threshold=high
+
+ - name: Run Trivy
+ uses: aquasecurity/trivy-action@master
+ with:
+ scan-type: 'fs'
+ scan-ref: '.'
+ format: 'sarif'
+ output: 'trivy-results.sarif'
+```
+
+### 7.2 Runtime Security
+
+#### Container Security
+```yaml
+# k8s/security-policy.yml
+apiVersion: policy/v1beta1
+kind: PodSecurityPolicy
+metadata:
+ name: gemini-flow-restricted
+spec:
+ privileged: false
+ allowPrivilegeEscalation: false
+ requiredDropCapabilities:
+ - ALL
+ volumes:
+ - 'configMap'
+ - 'secret'
+ - 'emptyDir'
+ hostNetwork: false
+ hostIPC: false
+ hostPID: false
+ runAsUser:
+ rule: 'MustRunAsNonRoot'
+ seLinux:
+ rule: 'RunAsAny'
+ supplementalGroups:
+ rule: 'MustRunAs'
+ ranges:
+ - min: 1
+ max: 65535
+ fsGroup:
+ rule: 'MustRunAs'
+ ranges:
+ - min: 1
+ max: 65535
+```
+
+## 8. Performance Optimization
+
+### 8.1 Build Performance
+
+#### Parallel Processing
+```json
+{
+ "scripts": {
+ "build:optimized": "concurrently \"npm run build:types\" \"npm run build:assets\" \"npm run build:bundles\"",
+ "build:types": "tsc --project tsconfig.production.json",
+ "build:assets": "copyfiles -u 1 src/assets/**/* dist/",
+ "build:bundles": "rollup -c rollup.config.js"
+ }
+}
+```
+
+### 8.2 Deployment Performance
+
+#### Resource Optimization
+```yaml
+# k8s/resources.yml
+apiVersion: v1
+kind: ResourceQuota
+metadata:
+ name: gemini-flow-quota
+spec:
+ hard:
+ requests.cpu: "4"
+ requests.memory: 8Gi
+ limits.cpu: "8"
+ limits.memory: 16Gi
+ persistentvolumeclaims: "5"
+ pods: "10"
+```
+
+## 9. Disaster Recovery
+
+### 9.1 Backup Strategy
+
+#### Database Backup
+```yaml
+# k8s/backup-job.yml
+apiVersion: batch/v1
+kind: CronJob
+metadata:
+ name: database-backup
+spec:
+ schedule: "0 2 * * *"
+ jobTemplate:
+ spec:
+ template:
+ spec:
+ containers:
+ - name: backup
+ image: postgres:15
+ command:
+ - /bin/sh
+ - -c
+ - |
+ pg_dump -h $DB_HOST -U $DB_USER -d $DB_NAME > /backup/backup-$(date +%Y%m%d-%H%M%S).sql
+ env:
+ - name: DB_HOST
+ valueFrom:
+ secretKeyRef:
+ name: db-secret
+ key: host
+ volumeMounts:
+ - name: backup-storage
+ mountPath: /backup
+ volumes:
+ - name: backup-storage
+ persistentVolumeClaim:
+ claimName: backup-pvc
+```
+
+### 9.2 Recovery Procedures
+
+#### Automated Recovery
+```yaml
+# k8s/recovery-job.yml
+apiVersion: batch/v1
+kind: Job
+metadata:
+ name: disaster-recovery
+spec:
+ template:
+ spec:
+ containers:
+ - name: recovery
+ image: gemini-flow:latest
+ command:
+ - /bin/sh
+ - -c
+ - |
+ # Restore from latest backup
+ psql -h $DB_HOST -U $DB_USER -d $DB_NAME < /backup/latest-backup.sql
+
+ # Restart application pods
+ kubectl rollout restart deployment/gemini-flow
+
+ # Verify health
+ curl -f http://gemini-flow:3000/health
+ env:
+ - name: DB_HOST
+ valueFrom:
+ secretKeyRef:
+ name: db-secret
+ key: host
+ volumeMounts:
+ - name: backup-storage
+ mountPath: /backup
+ volumes:
+ - name: backup-storage
+ persistentVolumeClaim:
+ claimName: backup-pvc
+ restartPolicy: Never
+```
+
+## 10. Cost Optimization
+
+### 10.1 Resource Scaling
+
+#### Auto-scaling Configuration
+```yaml
+# k8s/hpa.yml
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+ name: gemini-flow-hpa
+spec:
+ scaleTargetRef:
+ apiVersion: apps/v1
+ kind: Deployment
+ name: gemini-flow
+ minReplicas: 3
+ maxReplicas: 50
+ metrics:
+ - type: Resource
+ resource:
+ name: cpu
+ target:
+ type: Utilization
+ averageUtilization: 70
+ - type: Resource
+ resource:
+ name: memory
+ target:
+ type: Utilization
+ averageUtilization: 80
+```
+
+### 10.2 Build Cost Optimization
+
+#### Caching Strategy
+```yaml
+# .github/workflows/cached-build.yml
+name: Cached Build
+on:
+ push:
+ branches: [main]
+
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Cache node modules
+ uses: actions/cache@v3
+ with:
+ path: ~/.npm
+ key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
+ restore-keys: |
+ ${{ runner.os }}-node-
+
+ - name: Cache build output
+ uses: actions/cache@v3
+ with:
+ path: dist
+ key: ${{ runner.os }}-build-${{ github.sha }}
+ restore-keys: |
+ ${{ runner.os }}-build-
+
+ - name: Install dependencies
+ run: npm ci
+
+ - name: Build
+ run: npm run build:full
+```
+
+## 11. Compliance and Governance
+
+### 11.1 Build Compliance
+
+#### License Compliance
+```yaml
+# .github/workflows/license-check.yml
+name: License Compliance
+on:
+ push:
+ branches: [main]
+
+jobs:
+ license-check:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+
+ - name: Install dependencies
+ run: npm ci
+
+ - name: Check licenses
+ run: npx license-checker --production --excludePrivatePackages --onlyAllow="MIT;ISC;BSD-2-Clause;BSD-3-Clause;Apache-2.0"
+
+ - name: Generate SBOM
+ run: npx @cyclonedx/bom -o bom.xml
+```
+
+### 11.2 Deployment Compliance
+
+#### Security Standards
+```yaml
+# k8s/security-context.yml
+apiVersion: v1
+kind: Pod
+metadata:
+ name: gemini-flow-pod
+spec:
+ securityContext:
+ runAsNonRoot: true
+ runAsUser: 1001
+ runAsGroup: 1001
+ fsGroup: 1001
+ containers:
+ - name: gemini-flow
+ securityContext:
+ allowPrivilegeEscalation: false
+ readOnlyRootFilesystem: true
+ runAsNonRoot: true
+ runAsUser: 1001
+ capabilities:
+ drop:
+ - ALL
+```
+
+## Summary
+
+This build and deployment architecture provides a comprehensive, scalable, and secure foundation for delivering the gemini-flow AI coordination framework to production environments. The architecture emphasizes:
+
+- **Scalability**: Horizontal scaling with auto-scaling policies for 50K+ users
+- **Security**: Multi-layered security from build-time to runtime
+- **Reliability**: Blue-green deployments, health checks, and disaster recovery
+- **Performance**: Optimized builds, caching, and resource management
+- **Observability**: Comprehensive monitoring and logging integration
+- **Compliance**: Security standards and license management
+
+The architecture supports multiple deployment targets (Kubernetes, Docker, cloud platforms) while maintaining consistent quality and security standards across all environments.
\ No newline at end of file
diff --git a/docs/architecture/configuration-management-specification.md b/docs/architecture/configuration-management-specification.md
new file mode 100644
index 00000000..adb97710
--- /dev/null
+++ b/docs/architecture/configuration-management-specification.md
@@ -0,0 +1,857 @@
+# Configuration Management Architecture Specification
+
+## Overview
+
+This document defines the comprehensive configuration management architecture for the Gemini-Flow project, ensuring centralized, secure, and scalable configuration handling across all environments. The architecture supports the SPARC methodology requirements with emphasis on security, modularity, testability, and maintainability.
+
+## Core Configuration Principles
+
+### 1. **Centralized Management**
+- Single source of truth for all configuration
+- Unified access patterns across modules
+- Consistent validation and transformation
+
+### 2. **Environment Isolation**
+- Strict separation between environments
+- Environment-specific overrides
+- Secure credential management
+
+### 3. **Security First**
+- No hardcoded credentials or secrets
+- Encrypted configuration storage
+- Access control and audit logging
+
+### 4. **Dynamic Updates**
+- Runtime configuration reloading
+- Hot configuration updates
+- Zero-downtime configuration changes
+
+### 5. **Validation and Safety**
+- Schema-based validation
+- Type-safe configuration access
+- Safe fallback mechanisms
+
+## Configuration Architecture Overview
+
+### 1. **Configuration Hierarchy**
+
+```
+┌─────────────────────────────────────┐
+│ Environment Variables │
+│ (Highest Priority) │
+└─────────────────┬───────────────────┘
+ │
+┌─────────────────▼───────────────────┐
+│ Configuration Files │
+│ (JSON, YAML, TOML, ENV) │
+└─────────────────┬───────────────────┘
+ │
+┌─────────────────▼───────────────────┐
+│ Remote Configuration │
+│ (Database, KV Store, API) │
+│ (Medium Priority) │
+└─────────────────┬───────────────────┘
+ │
+┌─────────────────▼───────────────────┐
+│ Default Configuration │
+│ (Lowest Priority) │
+└─────────────────────────────────────┘
+```
+
+### 2. **Configuration Categories**
+
+| Category | Description | Examples | Security Level |
+|----------|-------------|----------|----------------|
+| **Core** | Fundamental application settings | App metadata, ports, timeouts | Low |
+| **Security** | Authentication and authorization | API keys, certificates, tokens | High |
+| **Integrations** | External service configurations | Google AI, MCP servers, DB | Medium |
+| **Infrastructure** | Runtime environment settings | Resource limits, scaling | Low |
+| **Performance** | Performance tuning parameters | Cache settings, concurrency | Low |
+| **Monitoring** | Observability configurations | Log levels, metrics endpoints | Low |
+
+## Configuration Storage Architecture
+
+### 1. **Storage Providers**
+
+#### 1.1 Environment Variables Provider
+**Purpose**: Runtime configuration overrides
+**Implementation**:
+```typescript
+interface EnvironmentProvider {
+ get(key: string): Promise
;
+ getAll(prefix?: string): Promise