- Refactored token refresh logic in ConfluenceHistoryConnector and JiraHistoryConnector to use lazy imports, avoiding circular dependencies.
- Enhanced the ComposerAction component to manage tool availability based on connected types, adding support for Jira and Confluence tools.
- Updated tool icon management to include Jira and Confluence, improving the user interface for tool interactions.
- Added support for grouping tools with connector icons, improving organization and user interaction.
- Implemented logic to toggle tool groups based on their enabled/disabled state, enhancing user experience.
- Updated the display of enabled tools count to reflect the new grouping structure.
- Introduced a new constant for connector tool icon paths to streamline icon management across components.
- Added a new tool action for updating Gmail drafts in the backend agent, expanding functionality.
- Deleted the migration script for adding web search columns to the database.
- Removed web search related fields from the SearchSpace model and schemas.
- Eliminated web search health check endpoint and associated service logic.
- Updated frontend components to remove web search settings management.
- Cleaned up references to SearXNG API in various modules, transitioning to a platform service approach.
- Added SearXNG service configuration to Docker setup, including environment variables and health checks.
- Introduced new settings management for web search in the frontend, allowing users to enable/disable and configure search engines and language preferences.
- Updated backend to support web search functionality, including database schema changes and service integration.
- Implemented health check endpoint for the web search service and integrated it into the application.
- Removed legacy SearXNG API connector references in favor of the new platform service approach.
Add full MiniMax provider support across the entire stack:
Backend:
- Add MINIMAX to LiteLLMProvider enum in db.py
- Add MINIMAX mapping to all provider_map dicts in llm_service.py,
llm_router_service.py, and llm_config.py
- Add Alembic migration (rev 106) for PostgreSQL enum
- Add MiniMax M2.5 example in global_llm_config.example.yaml
Frontend:
- Add MiniMax to LLM_PROVIDERS enum with apiBase
- Add MiniMax-M2.5 and MiniMax-M2.5-highspeed to LLM_MODELS
- Add MINIMAX to Zod validation schema
- Add MiniMax SVG icon and wire up in provider-icons
Docs:
- Add MiniMax setup guide in chinese-llm-setup.md
MiniMax uses an OpenAI-compatible API (https://api.minimax.io/v1)
with models supporting up to 204K context window.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- improved search_knowledgebase_tool
- Added new endpoint to batch-fetch comments for multiple messages, reducing the number of API calls.
- Introduced CommentBatchRequest and CommentBatchResponse schemas for handling batch requests and responses.
- Updated chat_comments_service to validate message existence and permissions before fetching comments.
- Enhanced frontend with useBatchCommentsPreload hook to optimize comment loading for assistant messages.
- Replaced direct embedding calls with a utility function across various components to streamline embedding logic.
- Added enable_summary flag to several models and routes to control summary generation behavior.
- Added startTime and endTime properties to announcements for time-bound visibility.
- Introduced audience targeting to control who sees announcements (all, users, web_visitors).
- Updated related components and hooks to support new announcement features.
- Removed unused state tracking for dismissed announcements to streamline functionality.
- Modified the iconLink property in DriveItem interfaces for Composio and Google Drive folder trees to accept null values, enhancing type safety.
- Updated the corresponding type definition in connector.types.ts to reflect this change.
- Added support for multiple queues in Celery worker configuration.
- Modified connector deletion to handle documents inline instead of using a background task.
- Updated response messages for document creation and connector deletion to reflect new processing status.
- Removed the obsolete connector deletion Celery task file.
- Introduced a new endpoint for batch document status retrieval, allowing users to check the status of multiple documents in a search space.
- Enhanced the document upload process to return duplicate document IDs and improved response structure.
- Updated schemas to include new response models for document status.
- Removed unused attachment processing code from chat routes and UI components to streamline functionality.
