- Added a new `tooling` module to define a unified model for tool declarations, invocations, and execution results, facilitating compatibility between plugins, legacy actions, and MCP tools.
- Implemented `ToolProvider` interface for various tool providers including built-in tools, MCP tools, and plugin runtime tools.
- Enhanced `MCPManager` and `MCPConnection` to support unified tool invocation and execution results.
- Updated `ComponentRegistry` and related classes to accommodate the new tool specifications and descriptions.
- Refactored existing components to utilize the new tooling system, ensuring backward compatibility with legacy actions.
- Improved error handling and logging for tool invocations across different providers.
- 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.
- Updated `calculate_session_id` method in `SessionUtils` to include optional `account_id` and `scope` parameters for more granular session ID generation.
- Added new environment variables in `plugin_runtime` for external plugin dependencies and global configuration snapshots.
- Introduced methods in `RuntimeComponentManagerProtocol` for loading and reloading plugins globally, accommodating external dependencies.
- Enhanced `PluginRunnerSupervisor` to manage external available plugin IDs during plugin reloads.
- Implemented dependency extraction and management in `PluginRuntimeManager` to handle cross-supervisor dependencies.
- Added tests for session ID calculation and message registration in `ChatManager` to ensure correct behavior with new parameters.
- 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.
- Changed the message sending method to return DeliveryBatch instead of DeliveryReceipt in integration.py.
- Removed AdapterDeclarationPayload and related references from envelope.py, replacing them with MessageGatewayStateUpdatePayload and MessageGatewayStateUpdateResultPayload.
- Updated runner_main.py to remove adapter-related logic and methods, focusing on message gateway functionality.
- Added tests for message gateway runtime state synchronization and action bridge functionality in test files.
- Added support for adapter runtime state updates in the PluginRunnerSupervisor.
- Introduced new payload classes: AdapterStateUpdatePayload and AdapterStateUpdateResultPayload for handling state updates.
- Implemented methods to bind and unbind routes based on adapter connection status.
- Enhanced the NapCat adapter to report connection state and manage runtime state.
- Added tests for adapter runtime state synchronization and database session behavior in the statistic module.
- Updated existing methods to ensure proper handling of adapter state and route bindings.
- 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>
