- Added support for scheduling background tasks to build emoji and image descriptions when not found in cache.
- Improved error handling and logging for emoji and image processing.
- Updated `SessionMessage` processing to allow for optional heavy media analysis and voice transcription.
- Refactored logging messages for better clarity and consistency across various modules.
- Introduced a new function to build outbound log previews for messages, enhancing logging capabilities.
- Refactored model fetching logic to support various authentication methods for OpenAI-compatible APIs.
- Introduced new data models for LLM service requests and responses to standardize interactions across layers.
- Added an adapter base class for unified request execution across different providers.
- Implemented utility functions for building OpenAI-compatible client configurations and request overrides.
- Add test for fallback to bot account in platform IO route metadata when context message is absent.
- Improve PlatformIOManager to avoid duplicate driver entries and streamline fallback driver handling.
- Refactor OutboundTracker to support tracking by both internal message ID and driver ID, enhancing the uniqueness of pending records.
- Introduce dynamic API capabilities in RuntimeComponent, allowing plugins to replace their dynamic API lists.
- Update APIRegistry to manage dynamic APIs more effectively, including registration and toggling of API statuses.
- Implement authorization checks for dynamic API capabilities to ensure proper permissions.
- Restrict direct calls to certain host RPC methods from plugins for enhanced security.
- Refactor send_service to ensure fallback to current platform account when no context message is available.
- Removed unused core action mirror functionality from PluginRunnerSupervisor.
- Simplified action and command execution logic in send_service.py.
- Introduced ComponentQueryService for unified component querying in plugin runtime.
- Enhanced message component handling with new binary component support.
- Improved message sequence construction and detection of outbound message flags.
- Updated methods for sending messages to streamline the process and improve readability.
- Removed UniversalMessageSender from group_generator.py and private_generator.py.
- Updated PlatformIOManager to manage legacy send drivers and ensure send pipeline readiness.
- Enhanced LegacyPlatformDriver to utilize prepared messages for sending.
- Refactored send_service to unify message sending logic and integrate with Platform IO.
- Added regression tests for Platform IO legacy driver and send service functionality.
- Introduced a built-in NapCat adapter plugin for MVP message forwarding.
- Implemented core functionalities for connecting to NapCat/OneBot v11 WebSocket service.
- Added message serialization capabilities for WebUI chat routes.
- Enhanced the RegisterPluginPayload to include optional adapter declarations.
- Implemented methods for handling external messages and adapter declarations in the PluginRunner.
- Improved the send_service to inherit platform IO route metadata for outgoing messages.
- Remove get_bot_account("qq") fallback from all 4 sender paths
(plan L108/L208/L449: unknown platform = no account, never substitute QQ)
- Sender paths now error immediately if platform bot account is not configured
- Add detailed comments on filter_bot legacy fallback explaining why
global user_id match is needed (plan contingency L528 insufficient for
platform-tagged legacy rows like telegram+qq_account)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
