- Implement batch AI re-organize endpoint for transfer history with progress tracking
- Add batch_manual_transfer_redo system task template and prompt generation
- Refactor agent_manager to support generic background prompt execution
- Add AIRecommendChain for search result recommendation using agent background prompt
- Update search endpoints to use new AIRecommendChain and remove legacy code
- Enhance test cases for batch manual transfer redo
- Minor code cleanup and style fixes
- Integrate voice message handling: detect and extract audio references from Telegram and WeChat messages, route to agent with voice reply preference.
- Add voice provider abstraction and OpenAI-based TTS/STT implementation.
- Implement agent tool `send_voice_message` for generating and sending voice replies, with fallback to text if voice is unavailable.
- Extend agent prompt and context to support voice reply instructions.
- Update notification and message schemas to support audio fields.
- Add Telegram and WeChat voice sending logic, including audio file conversion and temporary media upload for WeChat.
- Add tests for voice helper and agent voice routing.
- Added QQ Bot notification module to facilitate proactive message sending and message reception via Gateway.
- Implemented API functions for sending C2C and group messages.
- Established WebSocket client for real-time message handling.
- Updated requirements to include websocket-client dependency.
- Enhanced schemas to support QQ channel capabilities and notification configurations.
Implement rTorrent downloader module via XML-RPC protocol, supporting both HTTP (nginx/ruTorrent proxy) and SCGI connection modes. Add RtorrentModule implementing _ModuleBase and _DownloaderBase interfaces with no extra dependencies.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
