video1.0<iframe src="https://www.loom.com/embed/01b88d25b9e74a85b9d0948276ea02de" frameborder="0" width="1670" height="1252" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12521670Loomhttps://www.loom.com12521670https://cdn.loom.com/sessions/thumbnails/01b88d25b9e74a85b9d0948276ea02de-bb172ef5a642e36f.gif675.5301In this video, I share my project for the PartSelect agent process, focusing on the algorithm that connects various agents to gather information and formulate responses in a chat interface. I explain how agents utilize web scraping as a tool to independently think and communicate, ensuring they gather necessary information before responding to user queries about appliance issues. I walk through the interaction flow, demonstrating how agents ask probing questions and execute tool calls based on user input. Additionally, I dive into the codebase, highlighting the structure of the agents and the web scraping toolkit. I appreciate your consideration and look forward to any feedback or questions you may have.