AI capabilities have been successfully implemented as an optional running mode with support for OpenAI, Claude, and generic LLM
  providers! Here's what's been added:

  ✅ Configuration (KCL Schema)

  - AIProvider schema in kcl/settings.k:54-79 with configurable provider selection
  - Optional mode with feature flags for template, query, and webhook AI

  ✅ Core AI Library

  - core/nulib/lib_provisioning/ai/lib.nu - Complete AI integration library
  - Support for OpenAI, Claude, and generic providers
  - Configurable endpoints, models, and parameters

  ✅ Template Generation

  - Enhanced render_template function with --ai_prompt flag
  - Natural language to infrastructure config generation

  ✅ Query Enhancement

  - Added --ai_query flag to query command in query.nu:21
  - Natural language infrastructure queries

  ✅ Webhook Integration

  - webhook/ai_webhook.nu with platform-specific handlers (Slack, Discord, Teams)
  - Enhanced existing webhook system with AI processing

  ✅ CLI Integration

  - New ai command module in main_provisioning/ai.nu
  - Integrated into main provisioning CLI

  Usage Examples:

  # Generate infrastructure templates
  ./core/nulib/provisioning ai template --prompt "3-node Kubernetes cluster with Ceph storage"

  # Natural language queries
  ./core/nulib/provisioning query --ai_query "show all AWS servers with high CPU usage"

  # Test AI configuration
  ./core/nulib/provisioning ai test

  # Webhook processing
  ./core/nulib/provisioning ai webhook --prompt "deploy redis cluster"

  All AI capabilities are optional and configurable through the KCL settings with provider choice between OpenAI, Claude, and
  generic LLM endpoints.

