AI PipelinesOnline
Pipeline Guard
Adversarial self-healing multi-agent system
Most agent demos are graded by their author on inputs their author chose. I wanted a system that had to survive an adversary, so I built the adversary too: a Chaos agent that breaks a live ETL pipeline seven different ways on its own schedule.
The healing chain has to detect the break, diagnose it, patch it, validate the patch actually worked, and report — with confidence thresholds deciding when to escalate to a human instead of guessing.
What it does
- Chaos agent sabotages a live ETL pipeline seven distinct ways
- Five-stage healing chain: Monitor → Diagnosis → Patch → Validator → Reporter
- Confidence-thresholded escalation instead of blind auto-repair
- Event-bus architecture with a live dashboard rendering all six agents in real time
- 56 passing tests; runs without API keys