China Mobile With the advent of the era of AI large models and intelligent agents, more and more scenarios about agent interconnection have emerged, such as collaboration among multiple agents within a household, intelligent robots cooperating to complete pipeline tasks in different operations of the industrial Internet, drone groups, intelligent vehicle networking, etc. These scenarios not only require low latency and high bandwidth, but also demand efficient information exchange and cross-domain coordination and scheduling capabilities in complex collaborative tasks. Therefore, new orchestration and management technologies and frameworks are needed in existing networks to address this. The interconnection of different agents also brings about an emergence of inference, with a large number of inference requests being processed from the mobile phone side to the cloud. In order to improve inference efficiency, in a cloud-edge-end multi-layer inference architecture, large models and agents at different levels cooperate to complete tasks, resulting in a complex intelligent agent interconnection network. Gateways and routers serve as forwarding entries on the network road highways, responsible for building communication channels for the agents spread throughout the network, which requiring function upgrades to support the continuously evolving inference service in the future.