Qinxianrong developed a Qwen-based API model client for the datawhalechina/hello-agents repository, enabling dynamic, context-aware role-playing sessions powered by large language models. Using Python and leveraging skills in API development and machine learning, Qinxianrong implemented robust integration logic that allows the application to generate responses tailored to specific task prompts. The work included addressing a critical runtime issue by adding missing client creation logic, ensuring the codebase operates reliably in production environments. This contribution established a scalable foundation for future enhancements and demonstrated a thoughtful approach to integrating external LLM services while maintaining code quality and reliability.