Developed and integrated a structural tagging feature for the yhyang201/sglang repository, focusing on enhancing tool calling mechanisms and model reasoning capabilities. The work involved updating function call parsing logic to recognize and process new structural tags, as well as modifying dependencies and expanding unit tests to ensure compatibility and regression safety. Leveraging Python for backend development and API design, the implementation established a foundation for broader model interoperability and stricter tool invocation. Comprehensive test coverage and continuous integration validation were added to support the new system, laying groundwork for future features and improving the robustness of model-tool interactions.