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A Scalable Communication Protocol for Networks of Large Language Models

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arxiv 2410.11905 v1 pith:CLAKXCBG submitted 2024-10-14 cs.AI cs.LG

classification cs.AIcs.LG
keywords communicationagentsagoranetworkslargeachieveagentcommunications
verification ladder T0 review T1 audit T2 compute T3 formal
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Communication is a prerequisite for collaboration. When scaling networks of AI-powered agents, communication must be versatile, efficient, and portable. These requisites, which we refer to as the Agent Communication Trilemma, are hard to achieve in large networks of agents. We introduce Agora, a meta protocol that leverages existing communication standards to make LLM-powered agents solve complex problems efficiently. In Agora, agents typically use standardised routines for frequent communications, natural language for rare communications, and LLM-written routines for everything in between. Agora sidesteps the Agent Communication Trilemma and robustly handles changes in interfaces and members, allowing unprecedented scalability with full decentralisation and minimal involvement of human beings. On large Agora networks, we observe the emergence of self-organising, fully automated protocols that achieve complex goals without human intervention.

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Cited by 8 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Specification-Guided Synthesis of Deadlock-Free Communication Protocol Refinements with Large Language Models

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