it-ops/llm-automation-docs-and-remediation-engine
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09a9e0f0667226c70a837acccbbd34fe96fc0f83
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Author SHA1 Message Date
dnviti
09a9e0f066 feat: Upgrade to Python 3.13 and complete MongoDB migration
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Major improvements:
- Upgrade Python from 3.10 to 3.13 with updated dependencies
- Complete migration from SQLAlchemy to MongoDB/Beanie ODM
- Fix all type checking errors (MyPy: 0 errors)
- Fix all linting issues (Ruff: 0 errors)
- Ensure code formatting (Black: 100% compliant)

Technical changes:
- pyproject.toml: Update to Python 3.13, modernize dependencies
- models.py: Expand MongoDB models, add enums (ActionRiskLevel, TicketStatus, FeedbackType)
- reliability.py: Complete rewrite from SQLAlchemy to Beanie (552 lines)
- main.py: Add return type annotations, fix TicketResponse types
- agent.py: Add type annotations, fix Anthropic API response handling
- client.py: Add async context manager types
- config.py: Add default values for required settings
- database.py: Update Beanie initialization with all models

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✅ Black formatting
✅ Ruff linting
✅ MyPy type checking

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-19 12:36:28 +02:00
LLM Automation System
1ba5ce851d 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
 2025-10-17 23:47:28 +00:00