Support Copilot is an AI-powered system designed to assist support executives throughout the entire issue lifecycle. The system analyzes incoming support issues, provides actionable insights, recommends communication templates, and monitors issue status to ensure timely resolution.
- Automatic Issue Classification: AI-powered severity detection (Low, Normal, High, Critical)
- Customer History Analysis: Retrieves past issues and customer interaction patterns
- Similar Issue Detection: Finds related issues and their resolutions using ML similarity matching
- Critical Issue Monitoring: Flags unattended critical issues after 24 hours
- Smart Template Generation: AI-generated response templates based on issue context
- Context-Aware Recommendations: Considers customer history, issue severity, and past resolutions
- Multi-Category Templates: Initial response, status updates, escalations, resolutions, clarifications
- Template Effectiveness Tracking: Monitors and improves template performance
- Automatic Summarization: AI-powered conversation summaries for knowledge base updates
- Action Item Extraction: Identifies pending tasks and follow-up requirements
- Resolution Documentation: Comprehensive resolution summaries for future reference
- Knowledge Base Integration: Updates searchable knowledge base with resolved issues
- Real-time API: RESTful endpoints with <15 second response times
- Scalable Architecture: Microservices-based design on AWS
- Comprehensive Monitoring: Performance metrics, alerting, and health checks
- Security: JWT authentication, encryption, and GDPR compliance
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   API Gateway   │    │  Load Balancer  │    │   Web Client    │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         └───────────────────────┼───────────────────────┘
                                 │
         ┌───────────────────────▼───────────────────────┐
         │              Core Services                    │
         │  ┌─────────────┐ ┌─────────────┐ ┌──────────┐ │
         │  │   Issue     │ │  Guidance   │ │Summary   │ │
         │  │  Analysis   │ │   Service   │ │ Service  │ │
         │  └─────────────┘ └─────────────┘ └──────────┘ │
         └───────────────────────┼───────────────────────┘
                                 │
         ┌───────────────────────▼───────────────────────┐
         │              Data Layer                       │
         │  ┌─────────────┐ ┌─────────────┐ ┌──────────┐ │
         │  │   MySQL     │ │    Redis    │ │OpenSearch│ │
         │  │  Database   │ │    Cache    │ │ Vector   │ │
         │  └─────────────┘ └─────────────┘ └──────────┘ │
         └───────────────────────────────────────────────┘
- Backend: Python 3.11, Flask, SQLAlchemy
- Database: MySQL 8.0 with connection pooling
- Cache: Redis for performance optimization
- AI/ML: OpenAI GPT-4/3.5-turbo, scikit-learn
- Search: Vector similarity using embeddings
- Infrastructure: AWS ECS Fargate, RDS, ElastiCache
- Monitoring: CloudWatch, Prometheus, Grafana
- Security: JWT authentication, bcrypt hashing
- Python 3.11+
- MySQL 8.0+
- Redis 6.0+
- OpenAI API Key
- Docker (optional)
- 
Clone the repository git clone <repository-url> cd support-copilot 
- 
Install dependencies pip install -r requirements.txt 
- 
Set up environment variables cp .env.example .env # Edit .env with your configuration
- 
Initialize database mysql -u root -p < database_schema.sql
- 
Run the application python app.py 
- 
Start all services docker-compose up -d 
- 
Check service health docker-compose ps curl http://localhost:5000/health 
- 
Deploy infrastructure aws cloudformation create-stack \ --stack-name support-copilot-prod \ --template-body file://aws_deployment.yml \ --parameters ParameterKey=Environment,ParameterValue=production \ ParameterKey=OpenAIAPIKey,ParameterValue=your-api-key \ --capabilities CAPABILITY_IAM
- 
Build and push Docker image aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <account>.dkr.ecr.us-east-1.amazonaws.com docker build -t support-copilot . docker tag support-copilot:latest <account>.dkr.ecr.us-east-1.amazonaws.com/support-copilot:latest docker push <account>.dkr.ecr.us-east-1.amazonaws.com/support-copilot:latest 
All API endpoints require JWT authentication. Obtain a token by logging in:
curl -X POST http://localhost:5000/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email": "[email protected]", "password": "admin123"}'Include the token in subsequent requests:
curl -H "Authorization: Bearer <token>" http://localhost:5000/api/issues# Analyze new issue
POST /api/issues/analyze
{
  "customer_id": 1,
  "title": "Login authentication failure",
  "description": "Users cannot log in after recent update",
  "category": "Technical",
  "product_area": "Authentication"
}
# Get similar issues
GET /api/issues/{issue_id}/similar?limit=5
# Get customer history
GET /api/customers/{customer_id}/history# Generate response template
POST /api/guidance/template
{
  "issue_id": 123,
  "message_content": "I need help with login issues",
  "context": "Customer is frustrated"
}
# Get available templates
GET /api/guidance/templates?category=initial_response&severity=High# Generate conversation summary
POST /api/issues/{issue_id}/summarize
# Update issue status
PUT /api/issues/{issue_id}/status
{
  "status": "Resolved"
}# Get critical alerts
GET /api/alerts/critical
# Acknowledge alert
POST /api/alerts/{alert_id}/acknowledge
# Get dashboard analytics
GET /api/analytics/dashboard# Database Configuration
DB_HOST=localhost
DB_PORT=3306
DB_USER=support_user
DB_PASSWORD=support_password
DB_NAME=support_copilot
# Redis Configuration
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=
# AI Configuration
OPENAI_API_KEY=your-openai-api-key
OPENAI_MODEL=gpt-3.5-turbo
# Security
SECRET_KEY=your-secret-key
JWT_EXPIRY_HOURS=24
# Performance
MAX_RESPONSE_TIME_SECONDS=15
RATE_LIMIT_PER_MINUTE=100
# AWS Configuration (for production)
AWS_ACCESS_KEY_ID=your-access-key
AWS_SECRET_ACCESS_KEY=your-secret-key
AWS_REGION=us-east-1
S3_BUCKET=support-copilot-files# Enable/disable features
ENABLE_AI_ANALYSIS=True
ENABLE_SIMILARITY_SEARCH=True
ENABLE_AUTO_SUMMARIZATION=True
ENABLE_METRICS=True- customers: Customer information and tier management
- issues: Issue tracking with severity, status, and metadata
- conversations: Message history and sentiment analysis
- message_templates: Reusable response templates
- issue_resolutions: Resolution documentation and satisfaction
- similar_issues: ML-powered issue similarity mapping
- critical_alerts: Alert management and escalation
- support_executives: Team member management
customers (1) ──── (many) issues
issues (1) ──── (many) conversations
issues (1) ──── (1) issue_resolutions
issues (many) ──── (many) similar_issues
issues (1) ──── (many) critical_alerts# Run all tests
pytest test_api.py -v
# Run specific test categories
pytest test_api.py::TestSupportCopilotAPI -v
pytest test_api.py::TestPerformance -v
pytest test_api.py::TestIntegration -v
# Run with coverage
pytest test_api.py --cov=. --cov-report=html- Unit Tests: Individual component testing
- Integration Tests: End-to-end workflow testing
- Performance Tests: Response time validation
- Security Tests: Authentication and authorization
- API Tests: Endpoint functionality and error handling
# Application health
GET /health
# Database health
curl http://localhost:5000/health | jq '.database_status'
# Cache health
curl http://localhost:5000/health | jq '.cache_status'- Response Time: API endpoint performance
- Error Rate: Failed request percentage
- Issue Volume: Daily issue creation trends
- Resolution Time: Average time to resolve issues
- Customer Satisfaction: Resolution quality metrics
- AI Performance: Model accuracy and response times
- Response time > 15 seconds
- Error rate > 1%
- Critical issues unattended > 24 hours
- Database connection failures
- High memory/CPU usage
- JWT-based stateless authentication
- Role-based access control (Admin, Support, Read-only)
- API key management for external integrations
- Session timeout and token refresh
- Encryption at rest (database, file storage)
- Encryption in transit (TLS 1.3)
- PII data anonymization
- GDPR compliance features
- Audit logging for all operations
- VPC isolation with private subnets
- Security groups with minimal access
- WAF protection against common attacks
- Regular security updates and patches
- Customer Data: 5-minute cache for frequently accessed profiles
- Issue Analysis: 30-minute cache for analysis results
- Templates: 2-hour cache for template data
- Similar Issues: 1-hour cache for similarity results
- Connection pooling for concurrent requests
- Read replicas for query-heavy operations
- Proper indexing on frequently queried columns
- Query optimization and monitoring
- Async processing for long-running operations
- Request/response compression
- CDN for static content delivery
- Load balancing across multiple instances
- 
Database Connection Errors # Check database status mysql -u root -p -e "SELECT 1" # Verify connection parameters echo $DB_HOST $DB_PORT $DB_USER 
- 
Redis Connection Issues # Test Redis connectivity redis-cli ping # Check Redis logs docker logs support_copilot_redis 
- 
OpenAI API Errors # Verify API key curl -H "Authorization: Bearer $OPENAI_API_KEY" \ https://api.openai.com/v1/models # Check rate limits curl -I https://api.openai.com/v1/chat/completions 
- 
High Response Times # Check system resources docker stats # Monitor database queries mysql -e "SHOW PROCESSLIST" # Check cache hit rates redis-cli info stats 
# Application logs
tail -f logs/support_copilot.log
# Error logs
tail -f logs/support_copilot_errors.log
# Performance logs
tail -f logs/support_copilot_performance.log
# Docker logs
docker-compose logs -f api- Fork the repository
- Create a feature branch
- Make changes with tests
- Run test suite
- Submit pull request
- Follow PEP 8 style guidelines
- Add docstrings to all functions
- Include unit tests for new features
- Update documentation for API changes
feat: add new issue analysis endpoint
fix: resolve database connection timeout
docs: update API documentation
test: add integration tests for templates
refactor: optimize similarity search algorithm
This project is licensed under the MIT License - see the LICENSE file for details.
For technical support or questions:
- Documentation: Internal Wiki
- Issues: GitHub Issues
- Email: [email protected]
- Slack: #support-copilot-dev
- Multi-language support
- Advanced sentiment analysis
- Predictive issue escalation
- Customer satisfaction prediction
- Voice-to-text integration
- Real-time collaboration features
- Advanced analytics dashboard
- Mobile application support
- Multi-tenant architecture
- Advanced AI models (GPT-4, Claude)
- Workflow automation
- Third-party integrations (Slack, Teams, Jira)