- Updated `format_mentioned_documents_as_context` to include detailed document metadata, including URL and JSON representation of metadata.
- Improved citation handling by using chunk IDs for mentioned documents.
- Adjusted the fetching of mentioned documents to load associated chunks for better citation accuracy.
- Cleaned up the context formatting for better readability and structure.
- Simplified chat document processing display by removing the book emoji for a cleaner look.
- Enhanced the greeting function to prioritize user display names over email for a more personalized experience.
- Adjusted the ChatShareButton component by removing unused imports and unnecessary elements for better clarity and performance.
- Updated the title in the Electric SQL documentation for conciseness.
- Commented out the write_todos tracking and messaging logic in the stream_new_chat.py file.
- Disabled the import and usage of WriteTodosToolUI in the new-chat page component.
- Updated related logic in the active connectors tab to remove indexing state handling for write_todos.
- These changes are part of a temporary disablement of the write_todos feature for further evaluation.
- Removed the write_todos tool as it is now included by default through TodoListMiddleware in the deep agent.
- Updated the system prompt and documentation to reflect the integration of TodoListMiddleware, clarifying its capabilities for managing planning and todo lists.
- Enhanced the chat handling logic to extract todos directly from the deep agent's command output, ensuring seamless user experience.
- Refactored UI components to align with the new data structure and improve rendering of todo items, including updates to the Plan and TodoItem components.
- Cleaned up code for better maintainability and readability, following recent refactoring efforts.
- Added a new write_todos tool to facilitate the creation and management of planning lists within the chat interface.
- Updated system prompt with detailed instructions on using the write_todos tool, including usage patterns and restrictions.
- Enhanced the chat message handling to support the new tool, ensuring proper integration and user experience.
- Implemented UI components for displaying and interacting with the planning lists, including progress tracking and status indicators.
- Updated WebCrawlerConnector to prioritize Firecrawl API for crawling if an API key is provided, falling back to Chromium if Firecrawl fails.
- Improved error handling to log failures from both Firecrawl and Chromium.
- Enhanced link preview tool to use a random User-Agent for better compatibility with web servers.
- Passed Firecrawl API key to the stream_new_chat function for improved configuration management.
- Updated system prompt to clarify usage of the display_image tool, emphasizing URL requirements and restrictions on user-uploaded images.
- Enhanced the streaming chat process to provide more context about user attachments and documents during analysis.
- Implemented state resets when switching between chats to prevent stale data and race conditions.
- Added new components for displaying image previews and document attachments in the chat interface.
- Improved attachment processing to support image data URLs for persistent display after uploads.
- Updated the new chat routes to include handling for mentioned document IDs, allowing users to reference specific documents in their chat.
- Modified the NewChatRequest schema to accommodate optional document IDs.
- Implemented document mention formatting in the chat streaming service for improved context.
- Enhanced the frontend to manage document mentions, including a new atom for state management and UI updates for document selection.
- Refactored the DocumentsDataTable component for better integration with the new mention functionality.
- Enhanced the new chat agent module to allow for configurable tools, enabling users to customize their experience with various functionalities.
- Removed outdated tools including display image, knowledge base search, link preview, podcast generation, and web scraping, streamlining the codebase.
- Updated the system prompt and agent factory to reflect these changes, ensuring a more cohesive and efficient architecture.
