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Poster: Multi-Agent LLM System for Cisco Router Configuration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0199182" target="_blank" >RIV/00216305:26230/26:0199182 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/11261600" target="_blank" >https://ieeexplore.ieee.org/document/11261600</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/NCA67271.2025.00055" target="_blank" >10.1109/NCA67271.2025.00055</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Poster: Multi-Agent LLM System for Cisco Router Configuration

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

    <a href="/en/project/FW10010014" target="_blank" >FW10010014: Novel AI-Driven Process Automation for Simplifying and Enhancing Telecommunication Processes</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2025 23rd International Symposium on Network Computing and Applications (NCA)

  • ISBN

    979-8-3315-7842-8

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    306-307

  • Publisher name

    IEEE

  • Place of publication

    Lisbon, Portugal

  • Event location

    Lisboa, Portugal

  • Event date

    Nov 5, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article