Guillaume Baudart developed foundational language model usage tracking for the IBM/prompt-declaration-language repository, focusing on AI integration and Python development. He introduced a new entry in the standard library scope, enabling the interpreter to monitor and manage AI resource consumption. This architectural enhancement lays the groundwork for usage-based governance, cost optimization, and compliance across deployments. By integrating tracking directly with the interpreter scope, Guillaume enabled future quota enforcement and more granular resource management. The work demonstrated depth in software architecture, as it required careful consideration of interpreter internals and extensibility, resulting in a robust feature that supports scalable and compliant AI deployments.