- Added a guideline to ensure that each tool (Gmail, Google Calendar, Google Drive, Linear, Notion) is called only once per user request.
- Updated documentation to clarify that the system will automatically select the most relevant match when multiple items share the same title or subject, enhancing user experience and preventing redundant calls.
- Improved the update_gmail_draft tool to allow users to review and edit draft content before applying changes.
- Added logic to generate draft body content based on user requests and conversation context.
- Implemented fetching of existing draft body to facilitate user edits in the approval card.
- Updated UI components to support displaying and editing existing draft content, enhancing user experience.
- Introduced a new tool to update existing Gmail drafts, allowing users to modify draft content, recipients, and subject lines.
- Updated the Gmail tools registry to include the new update_gmail_draft tool.
- Enhanced the GmailKBSyncService to support draft ID handling during synchronization.
- Added UI components for the update draft functionality in the web application, improving user interaction with Gmail drafts.
- Updated the GmailAccount class to extract email from the connector name when formatted with " - ".
- Added new tool actions for Gmail and Google Calendar, including creating drafts, sending emails, and managing calendar events, improving integration and user functionality.
- Added `sync_after_create` methods in `LinearKBSyncService` and `NotionKBSyncService` to handle synchronization of newly created issues and pages with the knowledge base.
- Enhanced the `create_issue.py` and `create_page.py` tools to provide user feedback on the success of the knowledge base update, indicating whether the content has been synced or will be added in the next scheduled sync.
- Improved error handling during synchronization to log failures and manage duplicate document scenarios effectively.
- Implemented checks for expired authentication in the Notion page creation and deletion tools, returning appropriate error messages for re-authentication.
- Updated the Notion tool metadata service to track account health and persist authentication status, improving error handling and user feedback during operations.
- Added a new GoogleDriveKBSyncService to handle synchronization of newly created Google Drive files with the knowledge base.
- Enhanced the create_file.py tool to include feedback on the success of the knowledge base update, informing users if their file has been added or will be synced later.
- Updated the Google Drive tool metadata service to include parent folder information for improved file organization.
- Modified the UI components to support selection of parent folders during file creation, enhancing user experience and file management.
- Added checks for expired authentication in Google Drive file creation and deletion tools, returning appropriate error messages for re-authentication.
- Updated the Google Drive tool metadata service to track account health and persist authentication status.
- Enhanced UI components to display authentication errors and differentiate between valid and expired accounts, improving user experience during file operations.
- Introduced a mapping of native Google document types to their legacy Composio equivalents, ensuring seamless search and indexing for both types.
- Updated relevant components to utilize the new mapping, enhancing the consistency of document type handling across the application.
- Improved search functionality to transparently include legacy types, maintaining accessibility for older documents until re-indexed.
- Updated the .env.example file to include a note about disabling "Mask Connected Account Secrets" for Google indexing.
- Implemented a wait_for_connection method in ComposioService to ensure connected accounts reach ACTIVE status after authentication.
- Added logic in composio_callback and composio_reauth_callback to wait for Composio to finish processing tokens, improving reliability in token handling.
- Enhanced logging to provide clearer warnings when connection timeouts occur, ensuring better visibility into potential issues.
- Added new endpoints for re-authenticating Composio connectors, allowing users to refresh their authentication when expired.
- Introduced a method in ComposioService to handle the refresh of connected accounts.
- Updated the frontend to support re-authentication flows, including success notifications and redirection after re-authentication.
- Enhanced error handling for re-authentication processes to improve user experience.
- Added a mechanism to mark connectors as 'auth_expired' in the database, allowing the frontend to prompt users for re-authentication.
- Updated Linear and Notion connector routes to handle token refresh failures by invoking the new expiration flagging function.
- Enhanced UI components to display re-authentication options when a connector's authentication status is expired.
- Added re-authentication endpoints for Linear and Notion connectors to handle expired authentication.
- Enhanced error handling in issue creation, deletion, and update tools to return appropriate authentication error messages.
- Updated UI components to display authentication status and guide users on re-authentication steps.
- Improved account health checks to ensure valid tokens are used for operations.
- 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.
- Consolidated volume mappings for SearXNG to use a single directory.
- Removed unnecessary port mappings and legacy data volume definitions.
- Updated web search service documentation to clarify Redis usage and circuit breaker implementation, eliminating Redis dependency for circuit breaker logic.
- 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>
- Added `_attach_model_profile` function to attach model context metadata to `ChatLiteLLM`.
- Updated `create_chat_litellm_from_config` and `create_chat_litellm_from_agent_config` to utilize the new profile attachment.
- Improved context profile caching in `llm_router_service.py` to include both minimum and maximum input tokens, along with token model names for better context management.
- Introduced new methods for token counting and context trimming based on model profiles.
- Introduced a mechanism to identify degenerate queries that lack meaningful search signals, improving search accuracy.
- Implemented a fallback method for browsing recent documents when queries are degenerate, ensuring relevant results are returned.
- Added limits on the number of chunks fetched per document to optimize performance and prevent excessive data loading.
- Updated the ConnectorService to allow for reusable query embeddings, enhancing efficiency in search operations.
- Enhanced LLM router service to support context window fallbacks, improving robustness during context window limitations.
- Increased maximum file upload limit from 10 to 50 to improve user experience.
- Implemented batch processing for document uploads to avoid proxy timeouts, splitting files into manageable chunks.
- Enhanced garbage collection in chat streaming functions to prevent memory leaks and improve performance.
- Added memory delta tracking in system snapshots for better monitoring of resource usage.
- Updated LLM router and service configurations to prevent unbounded internal accumulation and improve efficiency.
- Improved in-memory rate limiting by evicting timestamps outside the current window and cleaning up empty keys.
- Updated LLM router service to cache context profiles and avoid redundant computations.
- Introduced cache eviction logic for MCP tools and sandbox instances to manage memory usage effectively.
- Added garbage collection triggers in chat streaming functions to reclaim resources promptly.
- 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.
- Introduced RequestPerfMiddleware to log request performance metrics, including slow request thresholds.
- Updated various services and retrievers to utilize the new performance logging utility for better tracking of execution times.
- Enhanced existing methods with detailed performance logs for operations such as embedding, searching, and indexing.
- Removed deprecated logging setup in stream_new_chat and replaced it with the new performance logger.
- Introduced dynamic character budget calculation for document formatting based on model's context window.
- Updated `format_documents_for_context` to respect character limits and improve output quality.
- Added `max_input_tokens` parameter to various functions to facilitate context-aware processing.
- Enhanced error handling for context overflow in LLM router service.
- Introduced should_summarize parameter in TaskDispatcher and CeleryTaskDispatcher to control summary generation.
- Updated InlineTaskDispatcher to support the new parameter for document processing.
- 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.
- Introduced a TaskDispatcher abstraction to decouple the upload endpoint from Celery, allowing for easier testing with synchronous implementations.
- Updated the create_documents_file_upload function to utilize the new dispatcher for task management.
- Removed direct Celery task imports from the upload function, enhancing modularity.
- Added integration tests for document upload, including page limit enforcement and file size restrictions.
