Building an AI Devil's Advocate: A Multi-Agent Debate App with LangGraph & Streamlit #ai #python #opensource #showdev
Hey devs! This is my first post on here, and I am sharing what I built Have you ever wanted an AI that argues with itself? I recently built a project called " AI Devil's Advocate " — a multi-agent debate application that lets two AI agents argue a topic while a Judge AI delivers the final verdict. But building it came with a major challenges like: API Rate Limits etc. Here is how I built it, how…
In this article, a software developer introduces an innovative AI application named AI Devil's Advocate. This multi-agent debate system allows two distinct AI agents, one for and one against a given topic, to engage in a structured debate while a judge AI provides a final verdict. The development of this application presented several challenges, including API rate limits, which were addressed through the implementation of an automatic fallback mechanism that seamlessly switches to an alternative provider when the active one reaches its limit or quota.
The project employs a multi-provider architecture, supporting providers like Groq, Google Gemini, and OpenRouter, and utilizes Python, LangGraph for orchestration, and Streamlit for building a polished UI with animations and custom CSS. The app also features real-time monitoring of API call usage and allows for the export of the debate transcript as a styled PDF or Markdown file.
The developer deployed the application on Streamlit Community Cloud and has made the project open-source on GitHub, inviting others to contribute or provide feedback.
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