The decision that matters
Set a budget for a complete task, including retrieval and follow-up calls. Record usage where the provider exposes it and distinguish measured values from estimates. Bound iteration counts and timeouts. Choose a smaller model only after checking the quality needed for the task. A lower-priced response that frequently requires correction may increase the total cost of a completed workflow.
A practical scenario
A draft assistant that sends an entire knowledge base with every request will consume more context than one that retrieves a few relevant passages. However, excessively narrow retrieval can omit an important qualification. Compare both approaches on the same examples and review their results, latency and usage together. Do not optimize token count in isolation from usefulness.
Before you ship
- Define a per-task call limit and spending boundary.
- Track retry frequency and review effort.
- Verify whether usage figures are measured or estimated.
A useful next step
Build a small operational report around completed tasks rather than raw requests. Review the expensive failures first: repeated retries, oversized context and loops without progress. Reassess costs whenever the prompt, provider or workflow changes, because the old estimate may no longer describe the system.
Primary reference & further reading
This guide combines general engineering recommendations with an illustrative scenario. Provider behavior can change; check current documentation before applying it. Read our editorial approach.