Tele-LLM-Hub: Building Context-Aware Multi-Agent LLM Systems for Telecom Networks

TL;DR

Tele-LLM-Hub is a low-code platform that enables rapid development of context-aware multi-agent LLM systems for telecom networks, facilitating better network management and innovation.

Contribution

It introduces TeleMCP, a structured communication protocol, and a low-code interface for creating and deploying multi-agent LLM systems in telecom environments.

Findings

Supports integration with software stacks like srsRAN

Provides a repository of pre-built systems

Enables rapid prototyping of telecom-specific LLM applications

Abstract

This paper introduces Tele-LLM-Hub, a user friendly low-code solution for rapid prototyping and deployment of context aware multi-agent (MA) Large Language Model (LLM) systems tailored for 5G and beyond. As telecom wireless networks become increasingly complex, intelligent LLM applications must share a domainspecific understanding of network state. We propose TeleMCP, the Telecom Model Context Protocol, to enable structured and context-rich communication between agents in telecom environments. Tele-LLM-Hub actualizes TeleMCP through a low-code interface that supports agent creation, workflow composition, and interaction with software stacks such as srsRAN. Key components include a direct chat interface, a repository of pre-built systems, an Agent Maker leveraging finetuning with our RANSTRUCT framework, and an MA-Maker for composing MA workflows. The goal of Tele-LLM-Hub is to democratize the design of contextaware MA systems and accelerate innovation in next-generation wireless networks.