You have a task that requires complex reasoning 10% of the time and simple extraction 90% of the time. How do you architect a "Router" to save costs?

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?

In a high-concurrency environment, how does PagedAttention prevent the GPU from running out of memory (OOM) when multiple users are chatting simultaneously?

When is it more cost-effective to use a "Pay-per-token" API (like OpenAI) versus hosting your own model on a dedicated cloud instance (like an AWS g5 instance)?