Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning

The paper introduces a graph-based framework designed to enhance in-context planning capabilities of AI systems. It focuses on addressing the challenge of complex tool dependencies and integrating domain knowledge into the planning process. The authors propose a novel architecture that leverages graph structures to model relationships between tools and domain concepts, enabling more effective planning and execution of complex tasks. The framework demonstrates significant improvements in task success rates compared to traditional approaches, particularly in domains requiring extensive tool usage and domain-specific reasoning.