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

deploy/kubernetes/service.yaml

@@ -0,0 +1,26 @@
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: api
+  namespace: datacenter-docs
+spec:
+  selector:
+    app: api
+  ports:
+  - port: 8000
+    targetPort: 8000
+  type: ClusterIP
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: chat
+  namespace: datacenter-docs
+spec:
+  selector:
+    app: chat
+  ports:
+  - port: 8001
+    targetPort: 8001
+  type: ClusterIP