Imagine a city that could listen to your needs and respond in real time. That's the vision behind CityGPT, a groundbreaking framework designed to make urban Internet of Things (IoT) data not just smarter, but more understandable and interactive. Our cities are teeming with sensors collecting a constant stream of data – from traffic flow to air quality, energy consumption to public safety. But this data is often complex, difficult to analyze, and even harder for the average person to grasp. CityGPT aims to change that by using AI agents to bridge the gap between raw data and human understanding. The system works like a conversation. You tell CityGPT what you want to know, using natural language, and it gets to work. A "requirement agent" powered by a large language model (LLM) interprets your request and breaks it down into tasks. Then, specialized "analysis agents" dive into the data, one handling the time-dependent aspects and another focusing on location-based patterns. Finally, a "spatiotemporal fusion agent" gathers the results and presents them in an easy-to-understand visual format, along with helpful textual descriptions. Think of it like asking, "How does traffic flow change in different neighborhoods throughout the day?" CityGPT could then show you a dynamic map highlighting congestion patterns, or perhaps a graph comparing average speeds across various areas. The research team tested CityGPT on real-world data, including air pollution and traffic information, and the results are promising. The system accurately predicted future data points and revealed hidden spatial relationships, like how pollution levels correlate with different urban zones. While still in its early stages, CityGPT offers a glimpse into a future where we can interact with our cities in a more intuitive and meaningful way. Challenges remain, such as integrating even more data sources and refining the AI agents' abilities. But the potential is enormous, paving the way for smarter urban planning, improved resource management, and a more responsive and citizen-centric urban environment.