THE ECONOMICS OF AGENT OPTIMIZATION: FOUR WAYS TO LOWER THE COST

Summary from the TLDR DevOps newsletter

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.