Developed foundational callback infrastructure for chat model interactions within the RobotecAI/rai repository, focusing on Streamlit integration. The work introduced an on_chat_model_start callback placeholder, establishing a clear path for future event-driven chat customization and extensibility. By wiring the callback mechanism into the backend, the implementation supports maintainable and scalable enhancements to the chat user experience. The approach adhered to repository conventions, ensuring alignment with long-term maintainability goals. Utilizing Python for backend development and API integration, the contribution laid the groundwork for streamlined future feature delivery, enabling easier adaptation of chat workflows in Streamlit deployments without introducing breaking changes.