Quick Answer Azure AI Foundry cost optimization: By orchestrating caching, KV‑Cache reuse, intent‑based routing, and micro‑batching, a .NET LLM service on Azure AI Foundry can cut token spend by 50% while keeping latency under SLA. Missing Execution Fabric Drives Token Costs When you expose an LLM as a stateless HTTP endpoint, every query is a fresh token‑cost. In a .NET microservice that scales to thousands of requests per second, the bill can outpace user growth within week...