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
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api/requirements-api.txt
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api/requirements-api.txt
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# FastAPI and server
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fastapi==0.109.0
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uvicorn[standard]==0.27.0
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python-multipart==0.0.6
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# Additional dependencies
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python-markdown==3.5.1
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aiofiles==23.2.1
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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# Database (optional)
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sqlalchemy==2.0.25
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alembic==1.13.1
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# Utilities
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pydantic==2.5.3
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pydantic-settings==2.1.0
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