- Introduce a new user script `audio-sender-sine-tester.js` that lists current WebRTC audio senders and allows temporary sine wave transmission through selected senders.
- Implement functionality for managing audio sender candidates, tracking audio statistics, and providing real-time logging of audio activities.
- Enhance audio testing capabilities with sine wave generation and track replacement features, improving overall audio management in the WebRTC environment.
- This addition supports better monitoring and testing of audio streams in applications utilizing WebRTC.
- Delete the user scripts `copilot-native-element.js` and `copilot-native-static.js` that implemented native-track bridges for audio and video input selection in WebRTC.
- These scripts provided functionalities for managing remote audio and video tracks, recording capabilities, and chat logging features for AI interactions.
- The removal is part of a refactoring effort to streamline the codebase and improve overall media management.
- Introduce a new user script `video-track-probe.js` that probes WebRTC video input/output tracks and displays active RTP statistics.
- Implement functionality to manage video track candidates, including live video detection and performance metrics.
- Enhance logging features to provide real-time feedback on video track status and statistics.
- Integrate mechanisms for tracking video elements and their associated media streams, improving overall media management in the WebRTC environment.
- Introduce a new user script `audio-track-probe.js` that probes WebRTC audio input/output tracks and displays active RTP statistics.
- Implement functionality to manage audio track candidates, including live audio detection and audio level analysis.
- Enhance logging features to provide real-time feedback on audio track status and metrics.
- Integrate audio context management for improved audio visualization and monitoring capabilities.
- Update the description to clarify that participant audio is fed into AI after both sides are connected.
- Introduce new functions to manage audio track patterns and enhance the logic for determining participant and operator presence.
- Improve gate status messaging to reflect the online status of participants and operators.
- Add volume handling functions for better audio visualization and feedback.
- Refactor existing functions to streamline audio processing and improve overall code clarity.
- Introduce a new user script `copilot-element2-two-party.js` that implements a two-party gated bridge for audio input to AI, ensuring both sides are connected before processing.
- Implement functionality for managing audio and video tracks, including recording capabilities for AI input.
- Enhance chat logging features to provide real-time feedback on AI interactions and recording status.
- Integrate mechanisms for handling media streams, improving overall media management in the WebRTC environment.
- Introduce a new user script `copilot-native-direct-output.js` that facilitates direct AI response track output to business senders.
- Implement functionality for managing audio and video tracks, including recording capabilities for AI input.
- Enhance chat logging features to provide real-time feedback on AI interactions and recording status.
- Integrate mechanisms for handling media streams, improving overall media management in the WebRTC environment.
- Introduce a new user script `copilot-native.js` that implements a native-track bridge for audio and video input selection in WebRTC.
- Implement functionality for managing remote audio and video tracks, including recording capabilities for AI input.
- Enhance chat logging features to provide real-time feedback on AI interactions and recording status.
- Integrate mechanisms for handling media streams, improving overall media management in the WebRTC environment.
- Introduce a new user script `copilot-native-element.js` that implements a native-track bridge for audio and video input selection in WebRTC.
- Implement functionality for managing remote audio and video tracks, including recording capabilities for AI input.
- Enhance chat logging features to provide real-time feedback on AI interactions and recording status.
- Integrate mechanisms for handling media streams, improving overall media management in the WebRTC environment.
- Introduce a new user script `copilot-native-static.js` that implements a native-track bridge with static input/output selection rules for WebRTC.
- Implement functionality for managing remote audio and video tracks, including recording capabilities for AI input.
- Enhance chat logging features to provide real-time feedback on AI interactions and recording status.
- Integrate mechanisms for handling media streams and improve overall media management in the WebRTC environment.
- Introduce a new function to capture video streams from playable HTML elements, enhancing the ability to process remote video feeds.
- Implement logic to manage and store captured video streams, ensuring only live tracks are utilized.
- Update existing audio processing functions to integrate video handling, improving overall media management in the WebRTC environment.
- Enhance logging for better debugging and user feedback regarding video stream capture status.
- Introduce a new user script `copilot.js` for WebRTC that implements PCM ScriptProcessor to address packet loss issues.
- Add features for real-time audio monitoring and improved audio stream handling, including mechanisms for capturing and processing remote audio streams.
- Implement a robust audio context setup with gain nodes and oscillators for enhanced audio management.
- Enhance logging and state management for better debugging and monitoring of audio streams in the WebRTC environment.
