Developed real-time streaming support for CosyVoice3 within the vllm-project/vllm-omni repository by implementing an asynchronous chunk streaming pipeline using Python. This work established an end-to-end streaming path from the deep learning model to audio output, enabling real-time audio generation and reducing latency for interactive applications. The approach focused on asynchronous programming and audio processing, allowing for more natural user interactions and improved responsiveness in AI-driven deployments. No major bugs were addressed during this period, as the primary emphasis was on enhancing performance and streaming architecture to support scalable, low-latency audio generation for interactive machine learning experiments and applications.