AI agents can perform tasks such as answering questions, analyzing information, and using tools to solve problems. But when a task involves several steps, one agent may not be enough to handle everything efficiently.<\/p>\n\n\n\n
A multi-agent AI system solves this by assigning different responsibilities to specialized agents. For example, one agent can research a topic, another can analyze the findings, and a third can review the final answer.<\/p>\n\n\n\n
In this tutorial, you\u2019ll build a multi-agent AI system using Python and the OpenAI API. You\u2019ll create three agents for research, analysis, and review, then connect them with LangGraph<\/a> to manage the workflow. You\u2019ll also learn how to pass results between agents, handle failures, and decide when multiple agents are worth the extra complexity.<\/p>\n\n\n\n