  Communication network engineering in enterprise environments is traditionally
a complex, time-consuming, and error-prone manual process. Most research on
network engineering automation has concentrated on configuration synthesis,
often overlooking changes in the physical network topology. This paper
introduces GeNet, a multimodal co-pilot for enterprise network engineers. GeNet
is a novel framework that leverages a large language model (LLM) to streamline
network design workflows. It uses visual and textual modalities to interpret
and update network topologies and device configurations based on user intents.
GeNet was evaluated on enterprise network scenarios adapted from Cisco
certification exercises. Our results demonstrate GeNet's ability to interpret
network topology images accurately, potentially reducing network engineers'
efforts and accelerating network design processes in enterprise environments.
Furthermore, we show the importance of precise topology understanding when
handling intents that require modifications to the network's topology.
