it-ops/llm-automation-docs-and-remediation-engine
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Author SHA1 Message Date
dnviti
cebd69c780 fix: Update all pipelines to Python 3.14
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Python 3.13 is causing installation errors in CI/CD runners.
Upgrading to Python 3.14 which is the latest stable version.

Changes:
- pyproject.toml: Update python requirement to ^3.14
- pyproject.toml: Update MyPy python_version to 3.14
- pyproject.toml: Update Black target-version to py314
- .gitlab-ci.yml: Update PYTHON_VERSION to 3.14
- .github/workflows/build-deploy.yml: Update PYTHON_VERSION to 3.14
- .gitea/workflows/ci.yml: Update PYTHON_VERSION to 3.14

This fixes the CI/CD error:
"rm: cannot remove '/opt/hostedtoolcache/Python/3.13.9/x64/lib/python3.13/__pycache__': Directory not empty"

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-19 14:22:17 +02:00
dnviti
ac90dff43a fix: Update GitHub and Gitea workflows for Python 3.13 and MongoDB
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Changes to GitHub Actions (.github/workflows/build-deploy.yml):
- Update PYTHON_VERSION from 3.11 to 3.13

Changes to Gitea Actions (.gitea/workflows/ci.yml):
- Update PYTHON_VERSION from 3.10 to 3.13
- Update POETRY_VERSION from 1.7.1 to 1.8.0
- Replace PostgreSQL and Redis services with MongoDB
- Update service health check for MongoDB (mongosh)
- Update test environment variables for MongoDB
- Remove DATABASE_URL and REDIS_URL
- Add MONGODB_URL and MONGODB_DATABASE

This ensures all CI/CD pipelines are aligned with:
- Python 3.13 requirement in pyproject.toml
- MongoDB migration from PostgreSQL

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-19 14:14:57 +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