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

.env.example

@@ -0,0 +1,22 @@
+# MongoDB
+MONGO_ROOT_USER=admin
+MONGO_ROOT_PASSWORD=changeme_secure_mongo_password
+MONGODB_URL=mongodb://admin:changeme_secure_mongo_password@mongodb:27017
+MONGODB_DATABASE=datacenter_docs
+
+# Redis
+REDIS_PASSWORD=changeme_redis_password
+
+# MCP Server
+MCP_SERVER_URL=https://mcp.company.local
+MCP_API_KEY=your_mcp_api_key_here
+
+# Anthropic API
+ANTHROPIC_API_KEY=your_anthropic_api_key_here
+
+# CORS
+CORS_ORIGINS=http://localhost:3000,https://docs.company.local
+
+# Optional
+LOG_LEVEL=INFO
+DEBUG=false