Your question is Monitoring LLM Production Quality. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you monitor an LLM application for drift, quality regressions, and prompt injection attempts in production?
Discuss an eval-first monitoring plan for a production LLM application, including telemetry, offline and online evaluation, alert thresholds, incident response, and privacy controls. Explain how you would distinguish model, prompt, retrieval, traffic, and data drift, while balancing monitoring cost and request latency. Include concrete detection and mitigation strategies for hallucinations and prompt injection.
