Initial commit: LLM Automation Docs & Remediation Engine v2.0

Features:
- Automated datacenter documentation generation
- MCP integration for device connectivity
- Auto-remediation engine with safety checks
- Multi-factor reliability scoring (0-100%)
- Human feedback learning loop
- Pattern recognition and continuous improvement
- Agentic chat support with AI
- API for ticket resolution
- Frontend React with Material-UI
- CI/CD pipelines (GitLab + Gitea)
- Docker & Kubernetes deployment
- Complete documentation and guides

v2.0 Highlights:
- Auto-remediation with write operations (disabled by default)
- Reliability calculator with 4-factor scoring
- Human feedback system for continuous learning
- Pattern-based progressive automation
- Approval workflow for critical actions
- Full audit trail and rollback capability

requirements.txt

@@ -0,0 +1,39 @@
+# Core dependencies
+paramiko>=2.11.0
+pysnmp>=4.4.12
+requests>=2.28.0
+netmiko>=4.1.0
+
+# Virtualization
+pyvmomi>=7.0.3
+proxmoxer>=1.3.1
+libvirt-python>=8.0.0
+
+# Storage
+pure-storage-py>=1.47.0
+
+# Databases
+mysql-connector-python>=8.0.33
+psycopg2-binary>=2.9.5
+pymssql>=2.2.7
+
+# Monitoring
+zabbix-api>=0.5.6
+prometheus-client>=0.16.0
+
+# Cloud
+boto3>=1.26.0
+azure-mgmt-compute>=29.0.0
+google-cloud-compute>=1.13.0
+
+# Utilities
+jinja2>=3.1.2
+pyyaml>=6.0
+pandas>=1.5.3
+markdown>=3.4.1
+redis>=4.5.1
+cryptography>=40.0.0
+
+# Testing
+pytest>=7.2.2
+unittest-xml-reporting>=3.2.0