Budgets, Rate Limits and Usage Controls

You will be able to

• Set cost, rate and latency budgets as requirements, each with a planned behaviour when reached.
• Build a monthly cost model and compare levers (prompt caching, routing, shorter outputs) against their quality cost.
• Cache whole answers safely: key on everything the answer depends on, and never share user-specific answers.
• Work within provider rate limits: understand token buckets and bursts, respect retry-after, stretch limits with caching, and separate workloads.
• Nest your own limits per application, per user and per request.
• Split a latency budget across pipeline stages and know when streaming helps.
• Monitor spend as it happens and act before a hard cap.

Topics

1. 1Three budgets
2. 2A monthly cost model
3. 3Caching answers safely
4. 4Living with rate limits
5. 5Your own limits: apps, users, requests
6. 6Latency budgets
7. 7Watching the burn, and wrap-up