Developed cross-language support for ModelArmorConfig, enabling prompt and response sanitization across the GenAI client libraries in the googleapis repositories. Focused on integrating this feature into Go, Java, JavaScript, and Python codebases, the work emphasized safety, compatibility validation, and seamless incorporation into the content generation workflow. Implemented robust error handling for unsupported Gemini API parameters and provided user-facing configuration options to enhance flexibility. Leveraged skills in API development, backend development, and data validation to ensure consistent behavior across languages. The approach prioritized maintainability and reliability, resulting in four new features that strengthened content safety without introducing regressions or unresolved bugs.