Control AI spend with per-application token rate limiting using Application Network and agentgateway
· 5 min read
As organizations scale AI adoption, platform teams must balance two competing goals:
- Enable broad, low-friction access to AI services
- Prevent a single application from exhausting shared quotas
This article describes a platform-oriented approach to controlling AI spend using Azure Kubernetes Application Network (AppNet) and agentgateway. By leveraging workload identity already present in the network, you can enforce per-application, token-based rate limiting without issuing API keys to every application.
By adopting this platform-oriented approach, you gain centralized control over AI spending, eliminate secrets distribution, and improve operational efficiency.