- Implemented DeleteChat and DeleteAllChats methods in Mongo, Redis, Weaviate, and Xun conversation handlers to allow users to delete specific chats and all chats associated with their account.
- Updated the Conversation interface in types.go to include the new deletion methods, ensuring consistent API across different storage backends.
- Added unit tests for DeleteChat and DeleteAllChats methods in xun_test.go to verify functionality and ensure proper deletion of chat histories.
- Enhanced error handling in deletion methods to provide robust feedback during chat removal operations.
- Updated GetChats method across conversation implementations to accept a ChatFilter struct, enabling keyword filtering, pagination, and ordering.
- Enhanced handleChatList method in the Neo API to construct a filter from query parameters, improving the flexibility of chat retrieval.
- Introduced new types (ChatFilter, ChatGroup, ChatGroupResponse) to facilitate structured responses and better organization of chat data.
- Improved error handling and response structure for chat retrieval, ensuring robust feedback and clarity in API responses.
- Introduced a new UserField in the Setting struct to allow customization of the user ID field name.
- Implemented getUserID method in Xun to retrieve user IDs based on the configured UserField, improving flexibility in user identification.
- Updated multiple methods (UpdateChatTitle, GetChats, GetHistory, SaveHistory, GetRequest, SaveRequest, GetChat) to utilize the new user ID retrieval logic, ensuring consistent handling of user sessions.
- Enhanced error handling for user ID retrieval, ensuring robust feedback in case of issues.
- Updated handleChatUpdate method to include content field in the request body, allowing for dynamic chat title generation based on user input.
- Implemented GenerateChatTitle method to create a concise title for chats, improving user experience and interaction.
- Modified JSON response structure in handleChatDetail and handleChatUpdate methods for better clarity and consistency.
- Enhanced error handling for chat updates, ensuring robust validation and feedback for users.
- Introduced a new endpoint for updating chat details, allowing users to modify chat titles via the handleChatUpdate method.
- Implemented error handling for missing session IDs and chat IDs, ensuring robust validation of input parameters.
- Enhanced existing API structure by adding status, chat list, chat detail, history, file upload, download, and mentions endpoints, improving overall API usability.
- Improved code organization and maintainability by clearly defining new methods for handling chat updates and related functionalities.
- Introduced new endpoints for retrieving chat details and mentions, enhancing the API's functionality.
- Implemented handleChatDetail method to fetch details of a specific chat by ID, including error handling for missing parameters.
- Added handleMentions method to retrieve mentions based on keywords, improving user interaction with chat content.
- Updated existing GetChats method to support keyword filtering, allowing for more refined chat list retrieval.
- Enhanced the DSL structure to include new methods for managing mentions and chat details, improving overall code organization and maintainability.
- Introduced a NewQuery method to streamline query creation, enhancing code readability and maintainability.
- Updated multiple methods (UpdateChatTitle, GetChats, GetHistory, SaveHistory, GetRequest, SaveRequest, clean) to utilize the new query method, reducing redundancy in query table references.
- Improved overall structure of the conversation management code by centralizing query logic.
- Introduced a new endpoint for downloading files, enhancing the API's capabilities.
- Implemented the handleDownload method to manage download requests, including validation for required parameters (sid and file_id).
- Updated the Download method in the assistant interface to retrieve files based on file_id, ensuring proper error handling and response structure.
- Enhanced file upload logic to include file extensions in generated IDs for better file management.
- Added necessary response headers for file downloads, improving user experience during file retrieval.
Add the SelectModel command to the DSL, allowing the selection of a specific model. This command takes a model name as input and sets the AI to use that model. It returns a success message with a status code of 200 if the selection is successful.
