In this article, you will learn how to build a multi-agent AI research assistant using the OpenAI Agents SDK, the GPT-5.4 mini model, and the Olostep Web API, including how to wire together a manager agent, specialist sub-agents, and live web tools to produce structured, source-grounded research reports. Topics we will cover include: How to define a manager agent that orchestrates a judge agent and an analyst agent to progressively gather and evaluate evidence. How to integrate Olostep’s Answer, Search, Search-with-Scrape, and Scrape APIs as callable tools inside the OpenAI Agents SDK workflow. How to expose the finished research assistant as an interactive web application built with Reflex, complete with PDF export. How to Build a Multi-Agent Research Assistant in Python Introduction I have been experimenting with the OpenAI Agents SDK, and it has quickly become one of my favorite ways to build agentic AI applications.…