Coordination primitives for intent-aware orchestration of agent requests

Ascertain whether large-scale, real-time intent-aware orchestration for routing and scheduling AI agent requests requires entirely new coordination primitives or can be achieved through incremental extensions of existing service-mesh technology.

Background

The paper argues that traditional L4/L7 load balancers and service meshes are insufficient for routing based on agent capabilities, jurisdiction, and other constraints. It proposes intent-aware scheduling that matches tasks to agents according to semantic capabilities and policy requirements.

The authors present two possibilities—designing new coordination primitives or extending existing service-mesh technologies—but explicitly state uncertainty about which path will suffice at the required scale and latency.