Poster: Multi-Agent LLM System for Cisco Router Configuration

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Poster: Multi-Agent LLM System for Cisco Router Configuration

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Poster: Multi-Agent LLM System for Cisco Router Configuration

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

<a href="/cs/project/FW10010014" target="_blank" >FW10010014: Nová automatizace procesů řízená umělou inteligencí pro zjednodušení a zlepšení telekomunikačních procesů</a><br>

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

979-8-3315-7842-8

ISSN

—

e-ISSN

—

Počet stran výsledku

2

Strana od-do

306-307

Název nakladatele

IEEE

Místo vydání

Lisbon, Portugal

Místo konání akce

Lisboa, Portugal

Datum konání akce

5. 11. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—