The AI Agent Debate Autogen Tutorial provides a step-by-step framework for orchestrating multiple AI agents engaged in structured debates. It leverages LangChain’s AutoGen module to coordinate messaging, tool execution, and debate resolution. Users can customize templates, configure debate parameters, and view detailed logs and summaries of each round. Ideal for researchers evaluating model opinions or educators demonstrating AI collaboration, this tutorial delivers reusable code components for end-to-end debate orchestration in Python.

MCP Agent Proxy acts as a middleware service between your applications and the OpenAI API. It transparently forwards ChatCompletion and Embedding calls, handles streaming responses to clients, caches results to improve performance and reduce costs, logs request and response metadata for debugging, and allows on-the-fly customization of API parameters. Developers can integrate it into existing agent frameworks to simplify multi-channel processing and maintain a single managed endpoint for all AI interactions.

Scribbl leverages advanced AI technology to facilitate seamless note-taking in Google Meet. It automatically captures audio, transcribes conversations, and produces comprehensive meeting summaries using ChatGPT algorithms. This allows users to focus on discussions without worrying about manual note-taking, promoting efficiency and collaboration. With Scribbl, reviewing key points and action items from meetings becomes effortless, making it a valuable assistant for professionals and teams.