What constitutes a "Health Check" for an AI model? Is checking if the HTTP port is open enough?

How would you implement a "Token Quota" system to prevent a single user or a bug in your code from spending $1,000 on API calls in an hour?

Standard logs store text. Why might you want to store the embeddings of your production inputs and outputs in a vector database for monitoring?

How do you monitor for "Concept Drift" in an LLM application? If the model's output starts getting shorter over time, is that a deployment failure or a data failure?