Documentation
README
AI SRE Incident Response
Apply SRE rigor to AI systems where incidents include quality regressions, unsafe outputs, and budget explosions.
When to Use This Skill
- An LLM endpoint begins returning degraded or hallucinated answers
- Token spend spikes beyond budget thresholds
- A model provider goes down and traffic must fail over
- Safety guardrails fire at abnormal rates
- A new model deployment causes latency or accuracy regression
Prerequisites
This is the opening of the README. Read the full README on GitHub.