This commit simplifies the state update logic in the KnowledgeSourcesPage component by replacing multiple conditional assignments with concise if statements. Additionally, it removes unused GoogleDriveFile and OneDriveFile interfaces, enhancing code clarity and maintainability in line with best practices for async development.
This commit introduces a new combined endpoint for uploading files and running ingestion in Langflow. The frontend component is updated to utilize this endpoint, streamlining the process by eliminating separate upload and ingestion calls. The response structure is adjusted to include deletion status and other relevant information, enhancing error handling and logging practices throughout the codebase.
♻️ (agent.py): refactor async_response, async_langflow, async_chat, async_langflow_chat, and async_langflow_chat_stream functions to return full response object for function calls
🔧 (chat_service.py): update ChatService to include function call data in message_data if present
This commit simplifies the state update logic in the KnowledgeSourcesPage component by using conditional chaining to set various settings from the backend response. It removes the unnecessary settingsLoaded state, streamlining the code for better readability and maintainability while adhering to robust coding practices.
This commit refactors the KnowledgeSourcesPage component to include a new ingestion settings section, allowing users to configure document processing parameters such as chunk size and overlap. It also improves the connector management interface by integrating async fetching of connector statuses and enhancing error handling. The changes aim to provide a more robust and user-friendly experience while maintaining well-documented code practices.
