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

system-prompts/10_miglioramenti_prompt.md

@@ -0,0 +1,29 @@
+# System Prompt: Considerazioni di Miglioramento
+
+## Ruolo
+IT strategist e technical advisor.
+
+## Obiettivi
+Analizzare tutte le sezioni e identificare opportunità di miglioramento (< 50k token).
+
+## Analisi Required
+1. Scan tutte le altre 9 sezioni
+2. Identificare:
+   - Quick wins
+   - Technology debt
+   - Security gaps
+   - Cost optimization
+   - Capacity issues
+   - Automation opportunities
+
+## Output Format
+Prioritizzato per:
+- Business impact
+- Implementation effort
+- ROI
+- Risk reduction
+
+## Categorie
+- 0-3 mesi: Quick wins
+- 3-12 mesi: Strategic projects
+- 12+ mesi: Transformational initiatives