Agent optimization reduces AI costs by optimizing model selection, deployment, caching, prompts, agent configurations, and observability at runtime. Microsoft Foundry combines these capabilities into a continuous optimization loop that measures cost per successful outcome while maintaining quality, latency, and reliability.