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ZHANG RUI
9a25fad20a
* feat(wecom): add WebSocket long-connection support for WeCom AI Bot - Introduced WeComAIBotWSChannel to handle WebSocket connections. - Updated NewWeComAIBotChannel to prioritize WebSocket mode when BotID and Secret are provided. - Enhanced WeComAIBotConfig to include BotID and Secret for WebSocket mode. - Implemented message handling for text, image, voice, and mixed messages in WebSocket mode. - Added tests for WebSocket mode functionality and ensured backward compatibility with webhook mode. - Refactored existing code to improve clarity and maintainability. * feat(wecom): implement periodic processing hints and enforce WeCom stream deadline * feat(wecom): update WeCom AI Bot setup instructions and configuration parameters * feat(wecom): enhance WeCom AI Bot with image handling and media support * feat(wecom): refactor WeCom AI Bot task management to use req_id for concurrent message handling * feat(wecom): refactor WeCom AI Bot to manage request states and late replies * feat(wecom): add response timeout handling and improve WebSocket command acknowledgment * fix(wecom): improve error handling for late reply proactive push delivery * refactor(wecom): reorganize WeCom AI Bot configuration fields for improved readability * fix(wecom): update error message for websocket delivery failure in late reply proactive push * feat(wecom): implement shared HTTP clients for WeCom image handling and response URL posting * refactor(wecom): simplify image download and storage process in storeWSImage * fix(wecom): improve error logging for WebSocket message handling and proactive push delivery * fix(wecom): enhance WebSocket connection stability and task cancellation handling * fix(wecom): improve WS image message handling by ensuring proper error response and initializing mediaRefs * feat(wecom): enhance WeCom AIBot WebSocket handling with message deduplication and support for file and video messages * refactor(wecom): rename image handling functions to media handling and enhance media type support * feat(wecom): implement byte-aware content splitting for WeCom AI Bot stream messages * refactor(wecom): remove max message length constraint from WeCom AIBot WS channel