
During two months on the XiaoMi/mone repository, Dingtao developed and integrated real-time chat streaming via WebSocket with per-user sessions, supporting both direct chat and role classification. He implemented an audio processing pipeline that enabled text-to-speech and speech-to-text features, tightly integrated with LLM services for seamless multimodal interaction. Dingtao also expanded LLM chat to support multi-image inputs, refining JSON and URL handling for robust multimodal workflows. His work included browser automation through a dedicated ChromeAthena class and comprehensive refactoring to improve maintainability. Using Java, JavaScript, and TypeScript, he focused on backend development, API integration, and security enhancements throughout the project.

February 2025 — XiaoMi/mone: Implemented real-time chat streaming via WebSocket with per-user sessions for Chatter, Shopper, and RoleClassifier, plus a chat type flag to distinguish direct chat from role classification. Added an audio processing pipeline with text-to-audio and audio-to-text support, integrated with LLM services for speech synthesis and transcription. Enabled multimodal image inputs in LLM chat with updated URL generation and JSON handling, and expanded LLMService inputs for multimodal models. Established ChromeAthena browser automation with a dedicated ChromeAthena class, refactored roles, and improved chat output formatting and image handling. Also delivered prompt refinements and input handling improvements to stabilize multimodal flows.
February 2025 — XiaoMi/mone: Implemented real-time chat streaming via WebSocket with per-user sessions for Chatter, Shopper, and RoleClassifier, plus a chat type flag to distinguish direct chat from role classification. Added an audio processing pipeline with text-to-audio and audio-to-text support, integrated with LLM services for speech synthesis and transcription. Enabled multimodal image inputs in LLM chat with updated URL generation and JSON handling, and expanded LLMService inputs for multimodal models. Established ChromeAthena browser automation with a dedicated ChromeAthena class, refactored roles, and improved chat output formatting and image handling. Also delivered prompt refinements and input handling improvements to stabilize multimodal flows.
January 2025 monthly summary for XiaoMi/mone: delivered key features for LLM streaming and provider integration, fixed critical tests security issues, and improved overall reliability and maintainability. Demonstrated strong collaboration with backend services and provider ecosystems. All changes align with business objectives to improve LLM responsiveness and reduce risk.
January 2025 monthly summary for XiaoMi/mone: delivered key features for LLM streaming and provider integration, fixed critical tests security issues, and improved overall reliability and maintainability. Demonstrated strong collaboration with backend services and provider ecosystems. All changes align with business objectives to improve LLM responsiveness and reduce risk.
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