[2024 Best AI Paper] AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent
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This video was created using https://paperspeech.com. If you’d like to create explainer videos for your own papers, please visit the website! Title: AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems Authors: Victor Dibia, Jingya Chen, Gagan Bansal, Suff Syed, Adam Fourney, Erkang Zhu, Chi Wang, Saleema Amershi Abstract: Multi-agent systems, where multiple agents (generative AI models + tools) collaborate, are emerging as an effective pattern for solving long-running, complex tasks in numerous domains. However, specifying their parameters (such as models, tools, and orchestration mechanisms etc,.) and debugging them remains challenging for most developers. To address this challenge, we present AUTOGEN STUDIO, a no-code developer tool for rapidly prototyping, debugging, and evaluating multi-agent workflows built upon the AUTOGEN framework. AUTOGEN STUDIO offers a web interface and a Python API for representing LLM-enabled agents using a declarativ
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