| name | aiops-agent |
| description | AI驱动的智能运维系统,实现主动预警、智能诊断和自动化治理 |
| author | James Mei |
| contact | {"email":"meijinmeng@126.com","blog":"https://www.cnblogs.com/Jame-mei"} |
| metadata | {"openclaw":{"emoji":"🤖"}} |
AIOps Agent
AI-driven intelligent operations system for proactive monitoring, intelligent diagnosis, and automated remediation.
✅ v1.0.1 Update
What's New:
- 🐛 Fixed syntax errors (18/18 tests passing)
- 📦 Added missing dependencies documentation
- 🧪 Improved test coverage
Quick Start
git clone <repo-url>
cd sre-agent
cp .env.example .env
pip install -r requirements.txt
make up
📦 Dependencies
Core Dependencies
pip install fastapi uvicorn
pip install kubernetes
pip install anthropic
pip install scikit-learn
pip install pandas numpy
Testing Dependencies
pip install pytest pytest-asyncio pytest-cov
Optional Dependencies
pip install prometheus-client
pip install langchain
pip install prophet
Features
- ⚡ Proactive alerting (1-3 hours ahead)
- 🔍 Automated root cause analysis
- 🤖 Self-healing automation
- 📊 Multi-dimensional monitoring
- 🧠 LLM-powered insights
Architecture
- Perception: Metrics, logs, events collection
- Cognition: Anomaly detection, prediction, RCA
- Decision: Risk assessment, action planning
- Action: Automated remediation
🧪 Testing
pytest
pytest --cov=src --cov-report=html
📝 Changelog
v1.0.1 (2026-02-25)
- Fixed syntax errors in core modules
- All 18 tests passing
- Added missing dependencies:
- pytest, pytest-asyncio, pytest-cov
- scikit-learn
- fastapi
- kubernetes
- anthropic
- Improved documentation
v1.0.0 (2026-02-25)
- Initial release
- Core AIOps architecture
- Basic anomaly detection
- Prediction engine
- Root cause analysis