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Optimize for the cost of a satisfactory outcome. A smaller prompt or cheaper model is useful only if it still meets the task’s requirements.
Both expected LLM usage endpoints, including the agent-specific estimate, currently return an unavailable error. Do not use them as price quotes or savings estimates.
Begin with a saved configuration, representative scenarios, and any trustworthy historical cost data available in your deployment.
1

Establish a baseline

Record the configuration version and analytics interval. Keep counts and total cost together; avoid comparing averages from different populations.
2

Prepare one change

Use available models and preserve a reviewable draft. Reuse the same test definitions.
3

Wait for measurable execution

Record savings as unmeasured until comparable runtime results exist. Publication acceptance and lower configured limits do not prove lower total cost.
No. A generation limit does not account for every request, input token, analysis step, or connected service.
Not currently. That report returns placeholder rows. Use verified deployment data and keep its scope explicit.