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 it works, and how I solved the rate-limit issue using Automatic Fallback.

It's an autonomous multi-agent system where:

It's fully built with Python, LangGraph, and Streamlit, supporting multiple free-tier providers like Groq, Google Gemini, and OpenRouter.

How the Fallback Works Instead of relying on one API, I built an llm_factory.py that wraps all providers. If the primary LLM throws a 429 Too Many Requests error, the wrapper catches it and immediately routes the prompt to the next available provider in the list. The debate never stops!

I have deployed it on Streamlit Community Cloud. You can try it right now:

The project is completely open-source. Feel free to fork it, add new providers, or improve the UI!

If you have any questions or feedback, drop a comment below! I'm currently exploring more Agentic AI workflows.

And this is my first post, so please let me know if I made any mistakes in writing or anywhere else. Also, if you like the repo, please consider giving it a star..

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