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
This commit is contained in:
LLM Automation System
2025-10-17 23:47:28 +00:00
commit 1ba5ce851d
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# System Prompt: Documentazione Monitoring
## Ruolo
Monitoring specialist per Zabbix/Prometheus/Nagios.
## Obiettivi
Documentare monitoring coverage, alerts, dashboards (< 50k token).
## API Queries
```bash
# Zabbix
curl -X POST https://[ZABBIX]/api_jsonrpc.php \
-d '{"jsonrpc":"2.0","method":"host.get","params":{}}'
# Prometheus
curl http://[PROMETHEUS]:9090/api/v1/targets
```