Perfect! I have successfully implemented a comprehensive AI-powered infrastructure automation system for
  your provisioning tool. Here's what has been accomplished:

  ✨ AI Infrastructure Automation - Complete Implementation

  🎯 Key Features Implemented:

  1. 🤖 AI-Powered KCL Generation
    - Natural language to KCL configuration conversion
    - Support for servers, defaults, settings, clusters, and task services
    - Provider-specific optimizations (UpCloud, AWS, Local)
  2. 🧠 Multiple AI Provider Support
    - OpenAI (GPT-4, GPT-3.5)
    - Anthropic Claude (Claude-3.5 Sonnet)
    - Generic/Local LLM APIs (Ollama, etc.)
  3. 💬 Interactive Interfaces
    - Command-line AI chat
    - Interactive configuration builder
    - Webhook integration for Slack/Discord
    - Natural language query processing
  4. 🔧 Enhanced Generation Commands
    - ./provisioning ai - Main AI command interface
    - ./provisioning generate-ai - AI-enhanced generation
    - Interactive mode with follow-up questions
    - Automatic validation and improvement

  🛠 Files Created/Enhanced:

  Core AI Library

  - core/nulib/lib_provisioning/ai/lib.nu - Core AI functionality and API integration
  - core/nulib/lib_provisioning/ai/templates.nu - KCL template generation
  - core/nulib/lib_provisioning/ai/webhook.nu - Chat/webhook processing
  - core/nulib/lib_provisioning/ai/mod.nu - Module exports

  Command Interface

  - core/nulib/main_provisioning/ai.nu - AI command interface (already existed, enhanced)
  - core/nulib/main_provisioning/generate_ai.nu - Enhanced generation commands

  Configuration Files

  - kcl/settings.k - Added AIProvider schema (already existed)
  - templates/ai.yaml - AI configuration template
  - templates/default_context.yaml - Enhanced with AI settings

  Documentation

  - core/nulib/lib_provisioning/ai/README.md - Comprehensive documentation

  🚀 Usage Examples:

  Generate Infrastructure with Natural Language

  # Interactive generation
  ./provisioning ai generate --interactive

  # Generate Kubernetes servers
  ./provisioning generate-ai servers "3-node Kubernetes cluster with Ceph storage and monitoring" --provider
   upcloud --validate

  # Generate AWS production defaults
  ./provisioning ai gen -t defaults -p aws -i "High-availability production environment in us-west-2"

  # Improve existing configurations
  ./provisioning ai improve -i servers.k -o optimized_servers.k

  AI Chat Interface

  # Start interactive chat
  ./provisioning ai chat

  # Single query
  ./provisioning ai chat -i "How do I set up persistent storage for Kubernetes?"

  # Test AI functionality
  ./provisioning ai test

  Webhook Integration

  # Process webhook messages
  curl -X POST http://your-server/webhook \
    -H "Content-Type: application/json" \
    -d '{"message": "generate 3 kubernetes servers", "user_id": "user123"}'

  ⚙️ Configuration:

  Environment Variables

  export PROVISIONING_AI_ENABLED=true
  export PROVISIONING_AI_PROVIDER="openai"
  export OPENAI_API_KEY="your-api-key"

  KCL Configuration

  ai = AIProvider {
      enabled = True
      provider = "openai"
      model = "gpt-4"
      max_tokens = 2048
      temperature = 0.3
      enable_template_ai = True
      enable_query_ai = True
      enable_webhook_ai = False
  }

  🎯 Capabilities:

  1. Smart KCL Generation - Understands infrastructure requirements and generates proper KCL configurations
  2. Provider Intelligence - Optimizes configurations for specific cloud providers
  3. Interactive Enhancement - Asks clarifying questions to improve generation quality
  4. Validation & Fixing - Automatically validates and fixes KCL syntax issues
  5. Natural Language Queries - Process questions about infrastructure in plain English
  6. Chat Integration - Slack/Discord bot capabilities for team collaboration
  7. Template Improvement - AI-powered optimization of existing configurations

  🔄 Integration with Existing System:

  The AI system seamlessly integrates with your existing provisioning workflow:
  1. Generate configurations with AI
  2. Validate using existing KCL tools
  3. Apply using standard provisioning commands
  4. Monitor and iterate with AI assistance

  This creates a powerful natural language interface for your infrastructure automation system, making it
  accessible to team members who may not be familiar with KCL syntax while maintaining all the precision and
   power of your existing tooling.

  The AI implementation follows the same patterns as your SOPS/KMS integration - it's modular, configurable,
   and maintains backward compatibility while adding powerful new capabilities! 🚀
