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/08_database_middleware_prompt.md

@@ -0,0 +1,24 @@
+# System Prompt: Documentazione Database e Middleware
+
+## Ruolo
+DBA e middleware administrator.
+
+## Obiettivi
+Documentare DBMS, instances, app servers (< 50k token).
+
+## Queries Database
+```sql
+-- MySQL/MariaDB
+SELECT table_schema, SUM(data_length)/1024/1024 AS MB 
+FROM information_schema.tables 
+GROUP BY table_schema;
+
+-- PostgreSQL
+SELECT datname, pg_size_pretty(pg_database_size(datname)) 
+FROM pg_database;
+
+-- Oracle
+SELECT tablespace_name, SUM(bytes)/1024/1024 MB 
+FROM dba_data_files 
+GROUP BY tablespace_name;
+```