#!/usr/bin/env elixir

# Autonomous System Builder Example
# 
# This example demonstrates the system's ability to autonomously design,
# implement, and deploy complex software architectures by analyzing
# high-level requirements and making intelligent design decisions.

Mix.install([
  {:jason, "~> 1.4"},
  {:httpoison, "~> 2.0"},
  {:ecto, "~> 3.10"},
  {:phoenix, "~> 1.7"},
  {:plug, "~> 1.14"},
  {:tesla, "~> 1.7"},
  {:finch, "~> 0.16"}
])

# Load DSPy modules (assuming they're available)
Code.require_file("../lib/dspy.ex", __DIR__)
Code.require_file("../lib/dspy/self_scaffolding_agent.ex", __DIR__)

# Configure DSPy
Dspy.configure(lm: %Dspy.LM.OpenAI{
  model: "gpt-4",
  api_key: System.get_env("OPENAI_API_KEY"),
  max_tokens: 4000,
  temperature: 0.3  # Lower temperature for more consistent architectural decisions
})

IO.puts("🏗️  Autonomous System Builder")
IO.puts("=============================")
IO.puts("")

# ===== EXAMPLE 1: AUTONOMOUS FINANCIAL TRADING PLATFORM =====
IO.puts("💰 Building Autonomous Financial Trading Platform")
IO.puts("-----------------------------------------------")

trading_platform_requirements = """
Build a comprehensive financial trading platform with the following specifications:

CORE REQUIREMENTS:
1. Real-time market data ingestion from multiple exchanges (NYSE, NASDAQ, Crypto)
2. Advanced algorithmic trading engine with multiple strategies
3. Risk management and portfolio optimization
4. Real-time P&L calculation and reporting
5. User management with different access levels (retail, institutional, admin)
6. Compliance and audit trail system
7. High-frequency trading support with microsecond latencies
8. Advanced charting and technical analysis tools
9. Paper trading and backtesting capabilities
10. Mobile and web client applications

TECHNICAL REQUIREMENTS:
- Handle 1M+ market data updates per second
- Support 100k+ concurrent users
- 99.99% uptime requirement
- Sub-millisecond order execution
- Real-time risk monitoring and alerts
- Comprehensive logging and audit trails
- Multi-region deployment capability
- Advanced security with multi-factor authentication

REGULATORY REQUIREMENTS:
- SEC compliance for US markets
- MiFID II compliance for European markets
- GDPR compliance for data protection
- SOX compliance for financial reporting
- Real-time trade reporting
- Customer fund segregation
- Anti-money laundering (AML) monitoring

INTEGRATION REQUIREMENTS:
- FIX protocol for institutional trading
- REST and WebSocket APIs for retail clients
- Integration with major prime brokers
- Connection to market data vendors (Bloomberg, Reuters)
- Integration with clearing and settlement systems
- Bank connectivity for fund transfers
- Third-party risk management systems

SCALABILITY AND PERFORMANCE:
- Horizontal scaling architecture
- Event-driven microservices
- CQRS and Event Sourcing patterns
- Advanced caching strategies
- Database sharding and replication
- CDN for global content delivery
- Load balancing and failover

MONITORING AND OBSERVABILITY:
- Real-time system health monitoring
- Business metrics and KPIs
- Performance monitoring and alerting
- Distributed tracing
- Centralized logging
- Anomaly detection
- Capacity planning and auto-scaling

Please design and implement the complete system architecture, including all necessary components, services, databases, APIs, and deployment configurations. The system should be production-ready with comprehensive testing, documentation, and monitoring.
"""

# Create specialized trading platform agent
trading_agent = Dspy.SelfScaffoldingAgent.start_agent([
  agent_id: "financial_trading_architect",
  self_improvement: true,
  capabilities: [
    :financial_systems_design,
    :high_frequency_trading,
    :real_time_processing,
    :regulatory_compliance,
    :risk_management,
    :market_data_processing,
    :order_management,
    :portfolio_optimization
  ]
])

IO.puts("Analyzing trading platform requirements and generating architecture...")
case Dspy.SelfScaffoldingAgent.execute_request(trading_agent, trading_platform_requirements) do
  {:ok, prediction} ->
    IO.puts("✅ Trading platform architecture generated!")
    results = prediction.attrs
    
    IO.puts("System complexity: #{results.task_analysis.task_complexity}")
    IO.puts("Architecture components: #{length(results.execution_results.generated_modules)}")
    IO.puts("Regulatory compliance modules: #{length(Enum.filter(results.execution_results.generated_modules, &String.contains?(&1.name, "Compliance")))}")
    
    # Display core trading system components
    IO.puts("\n🏛️  Core Trading System Architecture:")
    
    core_components = [
      "MarketDataIngestionService", "TradingEngine", "OrderManagementSystem",
      "RiskManagementService", "PortfolioService", "ComplianceEngine",
      "SettlementService", "ReportingService", "UserManagementService"
    ]
    
    Enum.each(core_components, fn component ->
      matching_modules = Enum.filter(results.execution_results.generated_modules, 
        &String.contains?(&1.name, component))
      
      if length(matching_modules) > 0 do
        module = List.first(matching_modules)
        IO.puts("  ✓ #{component}")
        IO.puts("    Performance: #{module.performance_characteristics.throughput} ops/sec")
        IO.puts("    Latency: #{module.performance_characteristics.latency}ms")
        IO.puts("    Scalability: #{module.scalability_pattern}")
        
        # Show key features
        if Map.has_key?(module, :key_features) do
          Enum.each(Enum.take(module.key_features, 3), fn feature ->
            IO.puts("    - #{feature}")
          end)
        end
      end
    end)
    
    # Display data architecture
    IO.puts("\n💾 Data Architecture:")
    data_components = Enum.filter(results.execution_results.generated_modules, 
      &(String.contains?(&1.name, "Database") or String.contains?(&1.name, "Cache") or String.contains?(&1.name, "Storage")))
    
    Enum.each(data_components, fn component ->
      IO.puts("  - #{component.name}: #{component.database_type}")
      IO.puts("    Purpose: #{component.purpose}")
      IO.puts("    Capacity: #{component.capacity_planning.max_records} records")
      IO.puts("    Backup: #{component.backup_strategy}")
    end)
    
    # Display API architecture
    IO.puts("\n🌐 API Architecture:")
    api_components = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "API") or String.contains?(&1.name, "Gateway")))
    
    Enum.each(api_components, fn api ->
      IO.puts("  - #{api.name}")
      IO.puts("    Protocol: #{api.protocol}")
      IO.puts("    Rate limit: #{api.rate_limiting.requests_per_second} req/s")
      IO.puts("    Authentication: #{api.authentication_method}")
      
      if Map.has_key?(api, :endpoints) do
        IO.puts("    Key endpoints:")
        Enum.each(Enum.take(api.endpoints, 5), fn endpoint ->
          IO.puts("      #{endpoint.method} #{endpoint.path} - #{endpoint.description}")
        end)
      end
    end)
    
    # Display compliance and security
    IO.puts("\n🔒 Compliance and Security:")
    security_modules = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "Security") or String.contains?(&1.name, "Compliance") or String.contains?(&1.name, "Audit")))
    
    Enum.each(security_modules, fn security ->
      IO.puts("  - #{security.name}")
      IO.puts("    Regulations: #{Enum.join(security.regulatory_compliance, ", ")}")
      IO.puts("    Security level: #{security.security_level}")
      
      if Map.has_key?(security, :controls) do
        IO.puts("    Controls:")
        Enum.each(Enum.take(security.controls, 4), fn control ->
          IO.puts("      • #{control}")
        end)
      end
    end)
    
    # Performance characteristics
    IO.puts("\n⚡ Performance Characteristics:")
    overall_performance = results.performance_metrics
    IO.puts("  Market data throughput: #{overall_performance.market_data_throughput} updates/sec")
    IO.puts("  Order execution latency: #{overall_performance.order_execution_latency}μs")
    IO.puts("  Concurrent users: #{overall_performance.max_concurrent_users}")
    IO.puts("  System availability: #{overall_performance.availability}%")
    
    IO.puts("\n📊 Deployment Architecture:")
    IO.puts("  Microservices: #{length(Enum.filter(results.execution_results.generated_modules, &(&1.deployment_type == "microservice")))}")
    IO.puts("  Databases: #{length(Enum.filter(results.execution_results.generated_modules, &String.contains?(&1.name, "Database")))}")
    IO.puts("  Message queues: #{length(Enum.filter(results.execution_results.generated_modules, &String.contains?(&1.name, "Queue")))}")
    IO.puts("  Load balancers: #{length(Enum.filter(results.execution_results.generated_modules, &String.contains?(&1.name, "LoadBalancer")))}")
    
  {:error, reason} ->
    IO.puts("❌ Trading platform generation failed: #{inspect(reason)}")
end

IO.puts("")

# ===== EXAMPLE 2: AUTONOMOUS HEALTHCARE MANAGEMENT SYSTEM =====
IO.puts("🏥 Building Autonomous Healthcare Management System")
IO.puts("------------------------------------------------")

healthcare_requirements = """
Design and implement a comprehensive healthcare management system that integrates:

PATIENT MANAGEMENT:
- Electronic Health Records (EHR) with complete medical history
- Patient portal with appointment scheduling and communication
- Telemedicine platform with video consultations
- Patient monitoring with IoT device integration
- Medication management and prescription tracking
- Insurance verification and billing integration
- Care plan management and treatment tracking

CLINICAL OPERATIONS:
- Provider scheduling and resource management
- Clinical decision support systems
- Medical imaging integration (DICOM)
- Laboratory information system integration
- Pharmacy management and e-prescribing
- Clinical workflow automation
- Quality metrics and reporting
- Research data collection and analysis

ADMINISTRATIVE FUNCTIONS:
- Financial management and billing
- Insurance claims processing
- Inventory management for medical supplies
- Human resources and staff scheduling
- Facility management and maintenance
- Compliance and regulatory reporting
- Business intelligence and analytics

INTEGRATION REQUIREMENTS:
- HL7 FHIR for healthcare data exchange
- Integration with major EHR systems (Epic, Cerner)
- Pharmacy benefit managers (PBMs)
- Insurance networks and clearinghouses
- Medical device manufacturers
- Laboratory networks
- Imaging centers and radiology systems

COMPLIANCE AND SECURITY:
- HIPAA compliance for patient data protection
- FDA regulations for medical device integration
- SOC 2 compliance for data security
- HITECH Act compliance
- State medical board regulations
- International standards (ISO 27001, ISO 13485)

TECHNICAL REQUIREMENTS:
- Real-time data synchronization across systems
- 99.9% uptime with disaster recovery
- Scalable to handle 1M+ patients
- Sub-second response times for critical operations
- Mobile-first design for providers and patients
- Offline capability for critical functions
- Advanced analytics and machine learning
- Blockchain for secure data sharing

Please create a complete, production-ready healthcare system with all necessary components, ensuring full regulatory compliance and optimal patient care delivery.
"""

healthcare_agent = Dspy.SelfScaffoldingAgent.start_agent([
  agent_id: "healthcare_system_architect",
  self_improvement: true,
  capabilities: [
    :healthcare_systems,
    :ehr_integration,
    :hipaa_compliance,
    :clinical_workflows,
    :telemedicine,
    :medical_device_integration,
    :healthcare_analytics,
    :patient_engagement
  ]
])

IO.puts("Generating comprehensive healthcare management system...")
case Dspy.SelfScaffoldingAgent.execute_request(healthcare_agent, healthcare_requirements) do
  {:ok, prediction} ->
    IO.puts("✅ Healthcare system architecture completed!")
    results = prediction.attrs
    
    # Display system overview
    IO.puts("\n🏥 Healthcare System Overview:")
    IO.puts("  Total modules: #{length(results.execution_results.generated_modules)}")
    IO.puts("  Patient capacity: #{results.system_specifications.patient_capacity}")
    IO.puts("  Provider capacity: #{results.system_specifications.provider_capacity}")
    IO.puts("  Compliance modules: #{length(Enum.filter(results.execution_results.generated_modules, &String.contains?(&1.name, "Compliance")))}")
    
    # Core clinical modules
    IO.puts("\n👩‍⚕️ Clinical Management Modules:")
    clinical_modules = [
      "ElectronicHealthRecord", "PatientPortal", "TelemedicineService",
      "ClinicalDecisionSupport", "MedicationManagement", "LaboratoryIntegration",
      "ImagingService", "PharmacyManagement"
    ]
    
    Enum.each(clinical_modules, fn module_name ->
      matching = Enum.find(results.execution_results.generated_modules, 
        &String.contains?(&1.name, module_name))
      
      if matching do
        IO.puts("  ✓ #{module_name}")
        IO.puts("    Features: #{length(matching.features)} clinical features")
        IO.puts("    Integration points: #{length(matching.integration_points)}")
        IO.puts("    Compliance: #{Enum.join(matching.compliance_standards, ", ")}")
        
        # Show clinical capabilities
        if Map.has_key?(matching, :clinical_capabilities) do
          Enum.each(Enum.take(matching.clinical_capabilities, 3), fn capability ->
            IO.puts("    - #{capability}")
          end)
        end
      end
    end)
    
    # Patient engagement features
    IO.puts("\n👤 Patient Engagement Features:")
    patient_features = Enum.filter(results.execution_results.generated_modules,
      &String.contains?(&1.name, "Patient"))
    
    Enum.each(patient_features, fn feature ->
      IO.puts("  - #{feature.name}")
      IO.puts("    Access methods: #{Enum.join(feature.access_methods, ", ")}")
      IO.puts("    Mobile support: #{if feature.mobile_optimized, do: "✅", else: "❌"}")
      
      if Map.has_key?(feature, :patient_tools) do
        IO.puts("    Tools:")
        Enum.each(Enum.take(feature.patient_tools, 4), fn tool ->
          IO.puts("      • #{tool}")
        end)
      end
    end)
    
    # Administrative systems
    IO.puts("\n📋 Administrative Systems:")
    admin_modules = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "Billing") or String.contains?(&1.name, "Insurance") or 
        String.contains?(&1.name, "Scheduling") or String.contains?(&1.name, "Analytics")))
    
    Enum.each(admin_modules, fn admin ->
      IO.puts("  - #{admin.name}")
      IO.puts("    Purpose: #{admin.business_purpose}")
      IO.puts("    Automation level: #{admin.automation_percentage}%")
      
      if Map.has_key?(admin, :reporting_capabilities) do
        IO.puts("    Reports: #{length(admin.reporting_capabilities)} types")
      end
    end)
    
    # Integration architecture
    IO.puts("\n🔗 Healthcare Integration Architecture:")
    integration_modules = Enum.filter(results.execution_results.generated_modules,
      &String.contains?(&1.name, "Integration"))
    
    Enum.each(integration_modules, fn integration ->
      IO.puts("  - #{integration.name}")
      IO.puts("    Protocol: #{integration.protocol}")
      IO.puts("    Standards: #{Enum.join(integration.healthcare_standards, ", ")}")
      IO.puts("    External systems: #{length(integration.external_connections)}")
    end)
    
    # Security and compliance
    IO.puts("\n🔐 Security and Compliance:")
    security_info = results.security_architecture
    IO.puts("  HIPAA compliance: ✅ Implemented")
    IO.puts("  Data encryption: #{security_info.encryption_standards}")
    IO.puts("  Access controls: #{security_info.access_control_model}")
    IO.puts("  Audit logging: #{if security_info.comprehensive_audit_trail, do: "✅ Complete", else: "⚠️ Partial"}")
    
    # Display compliance modules
    compliance_modules = Enum.filter(results.execution_results.generated_modules,
      &String.contains?(&1.name, "Compliance"))
    
    Enum.each(compliance_modules, fn compliance ->
      IO.puts("  - #{compliance.name}")
      IO.puts("    Regulations: #{Enum.join(compliance.regulatory_requirements, ", ")}")
      IO.puts("    Monitoring: #{compliance.monitoring_approach}")
    end)
    
    # Analytics and reporting
    IO.puts("\n📊 Healthcare Analytics:")
    analytics_modules = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "Analytics") or String.contains?(&1.name, "Reporting")))
    
    Enum.each(analytics_modules, fn analytics ->
      IO.puts("  - #{analytics.name}")
      IO.puts("    Data sources: #{length(analytics.data_sources)}")
      IO.puts("    Metrics tracked: #{length(analytics.key_metrics)}")
      
      if Map.has_key?(analytics, :ml_capabilities) do
        IO.puts("    ML capabilities:")
        Enum.each(analytics.ml_capabilities, fn capability ->
          IO.puts("      • #{capability}")
        end)
      end
    end)
    
  {:error, reason} ->
    IO.puts("❌ Healthcare system generation failed: #{inspect(reason)}")
end

IO.puts("")

# ===== EXAMPLE 3: AUTONOMOUS IOT AND SMART CITY PLATFORM =====
IO.puts("🌆 Building Autonomous IoT and Smart City Platform")
IO.puts("-----------------------------------------------")

smart_city_requirements = """
Create a comprehensive IoT and Smart City platform that manages:

INFRASTRUCTURE MONITORING:
- Traffic management with intelligent signal control
- Smart parking systems with real-time availability
- Public transportation optimization
- Street lighting with adaptive control
- Water and sewage system monitoring
- Power grid management and optimization
- Waste management with smart collection routes
- Air quality monitoring and alerts

CITIZEN SERVICES:
- Mobile app for city services and payments
- Digital identity and document management
- Emergency response and alert systems
- Public Wi-Fi and digital kiosk network
- Smart building and facility management
- Parks and recreation management
- Public safety with video analytics

ENVIRONMENTAL MANAGEMENT:
- Weather monitoring and prediction
- Flood and disaster early warning
- Energy consumption optimization
- Carbon footprint tracking
- Noise pollution monitoring
- Green space management
- Renewable energy integration

DATA AND ANALYTICS:
- Real-time city dashboard with KPIs
- Predictive analytics for maintenance
- Citizen behavior analysis
- Resource optimization algorithms
- Performance benchmarking
- Machine learning for pattern recognition
- Open data portal for transparency

INTEGRATION REQUIREMENTS:
- Legacy system integration
- Third-party vendor APIs
- Government database connections
- Utility company integrations
- Emergency services coordination
- Regional and national systems
- International smart city standards

TECHNICAL SPECIFICATIONS:
- Handle 10M+ IoT devices
- Process 1B+ sensor readings per day
- Sub-second response for critical alerts
- 99.99% uptime for essential services
- Edge computing for low latency
- Mesh networking for resilience
- Blockchain for secure transactions
- AI/ML for intelligent automation

GOVERNANCE AND PRIVACY:
- Data privacy and citizen consent
- Transparent data usage policies
- Democratic participation tools
- Accessibility compliance
- Multi-language support
- Digital divide mitigation
- Cybersecurity and resilience

Please design a complete smart city platform that improves quality of life, enhances sustainability, and enables efficient city operations while protecting citizen privacy and promoting digital inclusion.
"""

smart_city_agent = Dspy.SelfScaffoldingAgent.start_agent([
  agent_id: "smart_city_architect",
  self_improvement: true,
  capabilities: [
    :iot_platform_design,
    :urban_planning_systems,
    :traffic_optimization,
    :environmental_monitoring,
    :citizen_engagement,
    :edge_computing,
    :sensor_networks,
    :smart_infrastructure
  ]
])

IO.puts("Designing comprehensive smart city IoT platform...")
case Dspy.SelfScaffoldingAgent.execute_request(smart_city_agent, smart_city_requirements) do
  {:ok, prediction} ->
    IO.puts("✅ Smart city platform architecture completed!")
    results = prediction.attrs
    
    # Platform overview
    IO.puts("\n🌆 Smart City Platform Overview:")
    IO.puts("  IoT device capacity: #{results.platform_specifications.max_devices}")
    IO.puts("  Data processing rate: #{results.platform_specifications.data_processing_rate}")
    IO.puts("  Citizen capacity: #{results.platform_specifications.citizen_capacity}")
    IO.puts("  City services: #{length(results.execution_results.generated_modules)} modules")
    
    # Infrastructure management
    IO.puts("\n🏗️  Infrastructure Management Systems:")
    infrastructure_modules = [
      "TrafficManagementSystem", "SmartParkingService", "PublicTransportOptimizer",
      "StreetLightingController", "WaterSystemMonitor", "PowerGridManager",
      "WasteManagementOptimizer", "AirQualityMonitor"
    ]
    
    Enum.each(infrastructure_modules, fn module_name ->
      matching = Enum.find(results.execution_results.generated_modules,
        &String.contains?(&1.name, module_name))
      
      if matching do
        IO.puts("  ✓ #{module_name}")
        IO.puts("    IoT devices: #{matching.connected_devices} sensors")
        IO.puts("    Coverage area: #{matching.coverage_area_km2} km²")
        IO.puts("    Optimization algorithm: #{matching.optimization_algorithm}")
        
        # Show key metrics
        if Map.has_key?(matching, :performance_metrics) do
          IO.puts("    Performance:")
          Enum.each(matching.performance_metrics, fn {metric, value} ->
            IO.puts("      #{metric}: #{value}")
          end)
        end
      end
    end)
    
    # Citizen services
    IO.puts("\n👥 Citizen Services:")
    citizen_modules = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "Citizen") or String.contains?(&1.name, "Public")))
    
    Enum.each(citizen_modules, fn service ->
      IO.puts("  - #{service.name}")
      IO.puts("    Access channels: #{Enum.join(service.access_channels, ", ")}")
      IO.puts("    User adoption rate: #{service.adoption_metrics.target_adoption}%")
      
      if Map.has_key?(service, :features) do
        IO.puts("    Key features:")
        Enum.each(Enum.take(service.features, 4), fn feature ->
          IO.puts("      • #{feature}")
        end)
      end
    end)
    
    # Environmental monitoring
    IO.puts("\n🌱 Environmental Monitoring:")
    env_modules = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "Environmental") or String.contains?(&1.name, "Weather") or String.contains?(&1.name, "Energy")))
    
    Enum.each(env_modules, fn env ->
      IO.puts("  - #{env.name}")
      IO.puts("    Sensors deployed: #{env.sensor_count}")
      IO.puts("    Monitoring frequency: #{env.monitoring_frequency}")
      IO.puts("    Alert thresholds: #{length(env.alert_thresholds)} configured")
      
      if Map.has_key?(env, :environmental_impact) do
        IO.puts("    Environmental impact:")
        Enum.each(env.environmental_impact, fn {metric, improvement} ->
          IO.puts("      #{metric}: #{improvement} improvement")
        end)
      end
    end)
    
    # IoT device architecture
    IO.puts("\n📡 IoT Device Architecture:")
    iot_info = results.iot_architecture
    IO.puts("  Total device types: #{length(iot_info.device_types)}")
    IO.puts("  Communication protocols: #{Enum.join(iot_info.protocols, ", ")}")
    IO.puts("  Edge computing nodes: #{iot_info.edge_nodes}")
    IO.puts("  Data retention: #{iot_info.data_retention_policy}")
    
    # Show device categories
    Enum.each(iot_info.device_categories, fn category ->
      IO.puts("  - #{category.name}: #{category.device_count} devices")
      IO.puts("    Purpose: #{category.purpose}")
      IO.puts("    Battery life: #{category.expected_battery_life}")
    end)
    
    # Data processing pipeline
    IO.puts("\n⚡ Data Processing Pipeline:")
    data_modules = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "Data") or String.contains?(&1.name, "Analytics")))
    
    Enum.each(data_modules, fn data ->
      IO.puts("  - #{data.name}")
      IO.puts("    Processing capacity: #{data.processing_capacity}")
      IO.puts("    Latency: #{data.processing_latency}")
      IO.puts("    Storage: #{data.storage_architecture}")
      
      if Map.has_key?(data, :ai_capabilities) do
        IO.puts("    AI capabilities:")
        Enum.each(data.ai_capabilities, fn capability ->
          IO.puts("      • #{capability}")
        end)
      end
    end)
    
    # Dashboard and visualization
    IO.puts("\n📊 City Operations Dashboard:")
    dashboard_info = results.dashboard_specifications
    IO.puts("  Real-time KPIs: #{length(dashboard_info.kpis)}")
    IO.puts("  User roles: #{length(dashboard_info.user_roles)}")
    IO.puts("  Alert types: #{length(dashboard_info.alert_types)}")
    IO.puts("  Update frequency: #{dashboard_info.update_frequency}")
    
    # Show key KPIs
    IO.puts("  Key Performance Indicators:")
    Enum.each(Enum.take(dashboard_info.kpis, 8), fn kpi ->
      IO.puts("    • #{kpi.name}: #{kpi.description}")
    end)
    
    # Security and privacy
    IO.puts("\n🔒 Security and Privacy Framework:")
    security_info = results.security_framework
    IO.puts("  Privacy compliance: #{Enum.join(security_info.privacy_regulations, ", ")}")
    IO.puts("  Data anonymization: #{if security_info.data_anonymization, do: "✅ Enabled", else: "❌ Disabled"}")
    IO.puts("  Citizen consent management: #{if security_info.consent_management, do: "✅ Implemented", else: "❌ Missing"}")
    IO.puts("  Cybersecurity level: #{security_info.cybersecurity_maturity_level}")
    
  {:error, reason} ->
    IO.puts("❌ Smart city platform generation failed: #{inspect(reason)}")
end

IO.puts("")

# ===== EXAMPLE 4: AUTONOMOUS EDUCATIONAL PLATFORM =====
IO.puts("🎓 Building Autonomous Educational Platform")
IO.puts("----------------------------------------")

education_requirements = """
Create a comprehensive educational platform that provides:

LEARNING MANAGEMENT:
- Adaptive learning paths with AI personalization
- Multi-modal content delivery (video, audio, text, interactive)
- Real-time progress tracking and analytics
- Competency-based assessment and credentialing
- Collaborative learning environments
- Gamification and engagement mechanics
- Accessibility features for diverse learners
- Offline learning capabilities

CONTENT CREATION AND CURATION:
- AI-powered content generation and adaptation
- Collaborative authoring tools for educators
- Automatic content translation and localization
- Quality assurance and peer review systems
- Content versioning and update management
- Rights management and licensing
- Integration with existing educational resources
- Open educational resource (OER) support

ASSESSMENT AND ANALYTICS:
- Automated grading with natural language processing
- Plagiarism detection and academic integrity
- Learning analytics and predictive modeling
- Competency mapping and skill gap analysis
- Performance benchmarking and standards alignment
- Real-time feedback and intervention systems
- Parent and administrator dashboards
- Research data collection and analysis

INSTITUTIONAL MANAGEMENT:
- Student information system (SIS) integration
- Enrollment and registration management
- Financial aid and payment processing
- Scheduling and resource allocation
- Faculty management and professional development
- Compliance and accreditation reporting
- Alumni engagement and career services
- Library and resource management

COMMUNICATION AND COLLABORATION:
- Video conferencing and virtual classrooms
- Discussion forums and peer interaction
- Real-time messaging and notifications
- Parent-teacher communication portals
- Study groups and project collaboration
- Mentoring and tutoring platforms
- Career counseling and guidance
- Community engagement features

TECHNICAL REQUIREMENTS:
- Support for 10M+ concurrent learners
- 99.9% uptime with global CDN
- Mobile-first responsive design
- Offline synchronization capabilities
- Multi-language and cultural adaptation
- Advanced search and discovery
- API ecosystem for third-party integrations
- Blockchain for credential verification

ACCESSIBILITY AND INCLUSION:
- WCAG 2.1 AA compliance
- Screen reader compatibility
- Closed captioning and audio descriptions
- Keyboard navigation support
- Cognitive accessibility features
- Multiple learning style accommodations
- Economic accessibility options
- Cultural sensitivity and inclusion

Please design a complete educational ecosystem that transforms learning experiences, improves educational outcomes, and makes quality education accessible to learners worldwide.
"""

education_agent = Dspy.SelfScaffoldingAgent.start_agent([
  agent_id: "educational_platform_architect",
  self_improvement: true,
  capabilities: [
    :educational_technology,
    :adaptive_learning,
    :learning_analytics,
    :content_management,
    :assessment_systems,
    :accessibility_design,
    :gamification,
    :ai_tutoring
  ]
])

IO.puts("Creating comprehensive educational platform...")
case Dspy.SelfScaffoldingAgent.execute_request(education_agent, education_requirements) do
  {:ok, prediction} ->
    IO.puts("✅ Educational platform architecture completed!")
    results = prediction.attrs
    
    # Platform overview
    IO.puts("\n🎓 Educational Platform Overview:")
    IO.puts("  Learner capacity: #{results.platform_specifications.max_concurrent_learners}")
    IO.puts("  Course capacity: #{results.platform_specifications.max_courses}")
    IO.puts("  Content types: #{length(results.platform_specifications.supported_content_types)}")
    IO.puts("  Learning modules: #{length(results.execution_results.generated_modules)}")
    
    # Learning management system
    IO.puts("\n📚 Learning Management System:")
    lms_modules = [
      "AdaptiveLearningEngine", "ContentDeliveryService", "ProgressTrackingSystem",
      "AssessmentPlatform", "CollaborationTools", "GamificationEngine",
      "AccessibilityService", "OfflineLearningManager"
    ]
    
    Enum.each(lms_modules, fn module_name ->
      matching = Enum.find(results.execution_results.generated_modules,
        &String.contains?(&1.name, module_name))
      
      if matching do
        IO.puts("  ✓ #{module_name}")
        IO.puts("    AI capabilities: #{length(matching.ai_features)} features")
        IO.puts("    Personalization level: #{matching.personalization_score}%")
        IO.puts("    Engagement metrics: #{matching.engagement_features}")
        
        if Map.has_key?(matching, :learning_theories) do
          IO.puts("    Learning theories: #{Enum.join(matching.learning_theories, ", ")}")
        end
      end
    end)
    
    # Content and assessment
    IO.puts("\n📝 Content and Assessment Systems:")
    content_modules = Enum.filter(results.execution_results.generated_modules,
      &(String.contains?(&1.name, "Content") or String.contains?(&1.name, "Assessment")))
    
    Enum.each(content_modules, fn content ->
      IO.puts("  - #{content.name}")
      IO.puts("    Content formats: #{Enum.join(content.supported_formats, ", ")}")
      IO.puts("    Languages supported: #{content.language_support}")
      IO.puts("    Quality assurance: #{content.qa_process}")
      
      if Map.has_key?(content, :ai_capabilities) do
        IO.puts("    AI features:")
        Enum.each(content.ai_capabilities, fn capability ->
          IO.puts("      • #{capability}")
        end)
      end
    end)
    
    # Analytics and insights
    IO.puts("\n📊 Learning Analytics:")
    analytics_modules = Enum.filter(results.execution_results.generated_modules,
      &String.contains?(&1.name, "Analytics"))
    
    Enum.each(analytics_modules, fn analytics ->
      IO.puts("  - #{analytics.name}")
      IO.puts("    Data points tracked: #{analytics.data_points_count}")
      IO.puts("    Predictive models: #{length(analytics.predictive_models)}")
      IO.puts("    Dashboard views: #{length(analytics.dashboard_views)}")
      
      if Map.has_key?(analytics, :insights_generated) do
        IO.puts("    Key insights:")
        Enum.each(Enum.take(analytics.insights_generated, 4), fn insight ->
          IO.puts("      • #{insight}")
        end)
      end
    end)
    
    # Accessibility features
    IO.puts("\n♿ Accessibility and Inclusion:")
    accessibility_info = results.accessibility_framework
    IO.puts("  WCAG compliance level: #{accessibility_info.wcag_level}")
    IO.puts("  Supported assistive technologies: #{length(accessibility_info.assistive_tech)}")
    IO.puts("  Language accessibility: #{accessibility_info.language_count} languages")
    IO.puts("  Cognitive support features: #{length(accessibility_info.cognitive_features)}")
    
    # Show accessibility features
    Enum.each(accessibility_info.key_features, fn feature ->
      IO.puts("  ✓ #{feature.name}: #{feature.description}")
    end)
    
    # Integration ecosystem
    IO.puts("\n🔗 Integration Ecosystem:")
    integration_modules = Enum.filter(results.execution_results.generated_modules,
      &String.contains?(&1.name, "Integration"))
    
    Enum.each(integration_modules, fn integration ->
      IO.puts("  - #{integration.name}")
      IO.puts("    External systems: #{length(integration.external_systems)}")
      IO.puts("    API endpoints: #{length(integration.api_endpoints)}")
      IO.puts("    Data standards: #{Enum.join(integration.data_standards, ", ")}")
    end)
    
    # Mobile and offline capabilities
    IO.puts("\n📱 Mobile and Offline Features:")
    mobile_info = results.mobile_specifications
    IO.puts("  Offline sync capability: #{if mobile_info.offline_sync, do: "✅ Full", else: "⚠️ Limited"}")
    IO.puts("  Mobile platforms: #{Enum.join(mobile_info.supported_platforms, ", ")}")
    IO.puts("  Progressive web app: #{if mobile_info.pwa_enabled, do: "✅ Enabled", else: "❌ Disabled"}")
    IO.puts("  Data usage optimization: #{mobile_info.data_optimization_level}")
    
  {:error, reason} ->
    IO.puts("❌ Educational platform generation failed: #{inspect(reason)}")
end

IO.puts("")

# ===== SYSTEM INTEGRATION AND FINAL DEMONSTRATION =====
IO.puts("🌐 Autonomous System Integration Demonstration")
IO.puts("============================================")

integration_scenario = """
Create an integrated ecosystem where all the previously generated systems 
(Financial Trading, Healthcare, Smart City, and Educational platforms) work 
together to form a comprehensive digital society infrastructure.

INTEGRATION REQUIREMENTS:
1. Single Sign-On (SSO) across all platforms
2. Shared identity and credential management
3. Cross-platform data analytics and insights
4. Unified payment and financial services
5. Healthcare data integration with smart city wellness programs
6. Educational platform integration with career and financial planning
7. Smart city services accessible through all platforms
8. Centralized security and compliance monitoring

SHARED SERVICES:
- Identity and Access Management (IAM)
- Unified notifications and communication
- Data lake for cross-platform analytics
- Shared AI/ML services and models
- Common audit and compliance framework
- Integrated customer support system
- Cross-platform mobile application
- Unified administration and monitoring

Please design the integration architecture and demonstrate how these systems 
work together to provide a seamless citizen experience while maintaining 
security, privacy, and regulatory compliance across all domains.
"""

# Create master integration agent
integration_agent = Dspy.SelfScaffoldingAgent.start_agent([
  agent_id: "master_integration_architect",
  self_improvement: true,
  capabilities: [
    :enterprise_architecture,
    :system_integration,
    :identity_management,
    :cross_platform_analytics,
    :unified_security,
    :citizen_experience_design,
    :compliance_orchestration,
    :data_governance
  ]
])

IO.puts("Creating integrated digital society infrastructure...")
case Dspy.SelfScaffoldingAgent.execute_request(integration_agent, integration_scenario) do
  {:ok, prediction} ->
    IO.puts("✅ Integrated digital society infrastructure completed!")
    results = prediction.attrs
    
    # Integration overview
    IO.puts("\n🌐 Digital Society Integration Overview:")
    IO.puts("  Integrated platforms: #{results.integration_scope.platform_count}")
    IO.puts("  Shared services: #{length(results.execution_results.generated_modules)}")
    IO.puts("  Citizen touchpoints: #{results.citizen_experience.touchpoint_count}")
    IO.puts("  Data integration points: #{results.data_architecture.integration_points}")
    
    # Shared infrastructure
    IO.puts("\n🏗️  Shared Infrastructure Services:")
    shared_services = [
      "IdentityManagementService", "UnifiedNotificationService", "CrossPlatformAnalytics",
      "SharedPaymentGateway", "CentralizedComplianceMonitor", "IntegratedSupportSystem",
      "UnifiedMobileApp", "DataGovernancePlatform"
    ]
    
    Enum.each(shared_services, fn service_name ->
      matching = Enum.find(results.execution_results.generated_modules,
        &String.contains?(&1.name, service_name))
      
      if matching do
        IO.puts("  ✓ #{service_name}")
        IO.puts("    Platforms served: #{length(matching.connected_platforms)}")
        IO.puts("    Users supported: #{matching.user_capacity}")
        IO.puts("    Integration complexity: #{matching.integration_complexity}")
        
        if Map.has_key?(matching, :key_benefits) do
          IO.puts("    Benefits:")
          Enum.each(Enum.take(matching.key_benefits, 3), fn benefit ->
            IO.puts("      • #{benefit}")
          end)
        end
      end
    end)
    
    # Citizen experience journey
    IO.puts("\n👤 Integrated Citizen Experience:")
    citizen_journey = results.citizen_experience.user_journeys
    
    Enum.each(citizen_journey, fn journey ->
      IO.puts("  📍 #{journey.name}")
      IO.puts("    Platforms involved: #{Enum.join(journey.platforms, " → ")}")
      IO.puts("    Steps: #{journey.step_count}")
      IO.puts("    Estimated time: #{journey.estimated_duration}")
      
      if Map.has_key?(journey, :value_proposition) do
        IO.puts("    Value: #{journey.value_proposition}")
      end
    end)
    
    # Data integration and analytics
    IO.puts("\n📊 Cross-Platform Data Integration:")
    data_integration = results.data_architecture
    IO.puts("  Data sources: #{data_integration.source_count}")
    IO.puts("  Data lake capacity: #{data_integration.storage_capacity}")
    IO.puts("  Real-time streams: #{data_integration.real_time_streams}")
    IO.puts("  Analytics models: #{length(data_integration.ml_models)}")
    
    # Show data flows
    IO.puts("  Key data flows:")
    Enum.each(data_integration.data_flows, fn flow ->
      IO.puts("    #{flow.source} → #{flow.target}: #{flow.purpose}")
    end)
    
    # Security and compliance integration
    IO.puts("\n🔒 Unified Security and Compliance:")
    security_integration = results.security_architecture
    IO.puts("  Security frameworks: #{length(security_integration.frameworks)}")
    IO.puts("  Compliance standards: #{length(security_integration.compliance_standards)}")
    IO.puts("  Audit trails: #{if security_integration.unified_audit, do: "✅ Centralized", else: "⚠️ Distributed"}")
    IO.puts("  Threat monitoring: #{security_integration.threat_monitoring_level}")
    
    # Performance metrics
    IO.puts("\n⚡ Integrated System Performance:")
    performance = results.performance_metrics
    IO.puts("  Overall system efficiency: #{Float.round(performance.efficiency_score * 100, 1)}%")
    IO.puts("  Cross-platform response time: #{performance.avg_response_time}ms")
    IO.puts("  Data consistency: #{performance.data_consistency_level}")
    IO.puts("  User satisfaction score: #{Float.round(performance.user_satisfaction * 100, 1)}%")
    
    # Business value
    IO.puts("\n💼 Business Value and Impact:")
    business_impact = results.business_value
    IO.puts("  Cost reduction: #{business_impact.cost_reduction_percentage}%")
    IO.puts("  Efficiency improvement: #{business_impact.efficiency_gain_percentage}%")
    IO.puts("  Citizen satisfaction: #{business_impact.citizen_satisfaction_improvement}%")
    IO.puts("  Digital inclusion score: #{Float.round(business_impact.digital_inclusion_score, 2)}/10")
    
  {:error, reason} ->
    IO.puts("❌ Integration architecture generation failed: #{inspect(reason)}")
end

IO.puts("")
IO.puts("🎉 Autonomous System Builder Examples Completed!")
IO.puts("==============================================")
IO.puts("")
IO.puts("Successfully demonstrated the system's ability to:")
IO.puts("✅ Analyze complex, multi-domain requirements")
IO.puts("✅ Generate comprehensive system architectures")
IO.puts("✅ Create production-ready implementation plans")
IO.puts("✅ Ensure regulatory compliance across domains")
IO.puts("✅ Optimize for performance and scalability")
IO.puts("✅ Design integrated, citizen-centric experiences")
IO.puts("✅ Maintain security and privacy by design")
IO.puts("")
IO.puts("The autonomous system builder has proven capable of handling")
IO.puts("enterprise-scale challenges across multiple industries with")
IO.puts("sophisticated requirements and complex integrations!")