Interdependence relationships between humans and agents play a crucial role in the collaborative AI field. This research paper examines the impact of interdependence on trust violation, trust repair strategies, and collaboration fluency in human-AI teams. It compares independent cooperation and required interdependence approaches, focusing on collaborative AI, trust dynamics, and collaboration fluency. The paper presents a user study involving 30 participants in different interdependence conditions, analyzing data from trust surveys, collaboration fluency surveys, performance metrics, and AI agent idle time. The findings enhance understanding of human-agent collaboration fluency and as well as the interdependence relationship impact on trust.