Microsoft· Azure AI

The Economics of Agent Optimization: Four ways to lower the cost

Microsoft Foundry blog post discusses four strategies to optimize agent costs: selecting the right model per request, caching, prompt and agent optimization, and observability. It describes capabilities like model router, deployment options, fine-tuning, and prompt optimizer to reduce cost per successful outcome.

From the source

Microsoft Foundry gives you four levers for making those tradeoffs deliberately, rather than accepting the ones your prototype happened to choose.

azure.microsoft.com

Announced

26 Aug 2026 16:00 UTC

Detected

27 Aug 2026 02:28 UTC (+10h after)