Denis Shu@denonrailz751

AutoGen-on-Rails is low-code framework for building AI Agents with AutoGen. Goal of project is to provide easy to use tool for bootstrapping and debugging ai agents builds on AutoGen. Developer can upload and manage there own knowledge base, setup custom prompts and AutoGen setting, provide tests and get agent benchmarks based on Eval approach. Framework also accumulate agent logs and token consumption for debugging purposes. Developer can monitor how does quality of model is changing while modifying agent and embedding parameters. Using pre-defined ai agents, developers can experiments with new LLM approaches and techniques.

Join the AutoGen 24-hours Hackathon to explore AutoGen, a framework for developing customizable LLM applications using conversational agents that seamlessly integrate human input. Discover endless possibilities by combining LLMs, human interaction, and tools. Your innovation starts here!