it-ops/llm-automation-docs-and-remediation-engine
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Initial commit: LLM Automation Docs & Remediation Engine v2.0

Browse Source 
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
89 changed files with 20468 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
deploy/kubernetes/configmap.yaml Normal file
View File

@@ -0,0 +1,10 @@
apiVersion: v1
kind: ConfigMap
metadata:
name: datacenter-config
namespace: datacenter-docs
data:
mcp-server-url: "https://mcp.company.local"
mongodb-database: "datacenter_docs"
log-level: "INFO"
max-tokens: "4096"