AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

• DOI: 10.48550/arxiv.2308.08155
• Publication Date: 2023-01-01
• Authors: Qingyun Wu; Gagan Bansal; Jieyu Zhang; Yiran Wu; Shaokun Zhang; Erkang Zhu; Beibin Li; Lì Jiāng; Xiaoyun Zhang; Chi Wang
• Keywords: Converse; Code (set theory); Empirical Research

AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents can converse with each other accomplish tasks. are customizable, conversable, and operate in various modes employ combinations of LLMs, human inputs, tools. Using AutoGen, also flexibly define agent interaction behaviors. Both natural language computer code be used program flexible conversation patterns for different applications. serves as a generic infrastructure diverse complexities capacities. Empirical studies demonstrate the effectiveness many example applications, domains ranging from mathematics, coding, question answering, operations research, online decision-making, entertainment, etc.