Developed the foundational Language Models namespace within the palantir/foundry-platform-python repository, focusing on scalable language model features and future user-facing capabilities. The work involved designing a modular structure in Python to simplify integrations and enhance maintainability for LM-related development. By establishing a dedicated namespace, the implementation improved governance and positioned the codebase for an expanded LM feature surface. The approach emphasized software development best practices, ensuring the repository structure could support evolving roadmap requirements. This contribution laid the groundwork for scalable language model integrations, making it easier for future enhancements and supporting robust, maintainable development within the platform’s Python ecosystem.