Developed and delivered the Ezai_asr Real-Time ASR Extension for the TEN-framework/ten_framework repository, focusing on enabling real-time audio transcription with robust token validation and finalization support. The work involved designing a modular extension pattern in Python, implementing real-time audio processing paths, and integrating comprehensive tests to ensure end-to-end reliability. Integration test configurations were added to maintain regression safety, supporting ongoing feature development and code maintainability. Emphasizing ASR development, Python programming, and WebSocket communication, the contribution expanded the framework’s real-time capabilities and improved security checks, while enhancing test coverage to facilitate safer and faster downstream application development.