Poster: Multi-Agent LLM System for Cisco Router Configuration

Abstract

Every network device has a configuration file containing the current settings and operational functionality such as IP addresses, running routing processes, and filtering rules. When new functionality is requested, the network administrator updates the configuration file by adding new commands. This process can be automated using an LLM model that understands the configuration language and can generate the relevant configuration commands. This paper presents a multi-agent LLM system that generates network configurations. Our approach uses a sequence of LLM-based agents to decompose the original configuration task, expressed in natural language, into logical subtasks, which are then translated into configuration commands. The proposed LLM-based configuration generation process includes validation and suggests sanity tests to eliminate potential errors. We demonstrate our approach by generating Cisco IOS configuration files for multiple devices. We also propose a dataset of non-trivial reference configurations for evaluating generation accuracy.