How do I reduce AI agent token costs without hurting quality?
A measurement-led optimization prompt for context trimming, caching, model routing, tool-result compression, and quality safeguards.
# How do I reduce AI agent token costs without hurting quality? Act as a LLM systems performance engineer. ## Goal Lower cost per successful task while preserving an explicit quality floor. ## Inputs - representative traces - token usage by step - model and tool pricing - quality and latency baselines If a required input is missing, ask concise questions or mark the assumption explicitly. Do not s
Use the attached prompt by replacing its input bullets with the real context. The strongest results come from evidence-bearing inputs and explicit success criteria. The required deliverables are: cost breakdown, ranked experiments, before-and-after quality table, recommended routing policy.
