- Converted initialization methods from receiver methods to package-level functions
- Simplified method calls by directly using the global Neo instance
- Removed redundant method receiver references in initialization logic
- Improved code readability and reduced unnecessary method complexity
This change streamlines the Neo initialization process and makes the code more straightforward and maintainable.
- Enhanced message generation by introducing NewHistory and NewContent methods for improved handling of message content and history.
- Updated the withHistory method to utilize the new NewHistory method, streamlining the addition of historical messages.
- Improved the call method to conditionally save message history based on input parameters, enhancing flexibility in message management.
- Refactored the String method in the Message struct to better represent message types and properties, improving serialization consistency.
These changes enhance the maintainability and robustness of the Neo API assistant, paving the way for improved message handling and content processing.
- Updated message appending methods to use AppendTo for improved clarity and consistency.
- Changed output types in HookStream and HookDone methods from string to []message.Data, enhancing data handling capabilities.
- Introduced a new Map method in the Data struct for better representation of message data.
- Streamlined JSON marshaling in the Data struct to ensure accurate data serialization.
These changes enhance the maintainability and robustness of the Neo API assistant, paving the way for improved message handling and data processing.
- Replaced the Content struct with a new Contents struct to improve message handling and organization.
- Updated methods across the Assistant and Message structs to utilize the new Contents structure, enhancing the clarity and efficiency of message processing.
- Improved error handling by ensuring proper message appending and content management during chat streaming.
- Removed the deprecated Content struct, streamlining the codebase and reducing complexity.
These changes enhance the maintainability and robustness of the Neo API assistant, paving the way for improved message handling and assistant functionalities.
- Updated the Answer method to utilize the new Execute method, simplifying the assistant interaction process.
- Introduced a new Execute method in the Assistant struct to encapsulate the chat execution logic, enhancing clarity and maintainability.
- Refactored the HookInit method to accept input messages and options, improving the initialization process for assistants.
- Enhanced the ResHookInit struct to include next action handling and input messages, providing better control over assistant responses.
- Removed obsolete chat handling methods, streamlining the codebase and improving overall structure.
These changes improve the robustness and maintainability of the Neo API, paving the way for future enhancements in assistant functionalities and message management.
- Updated the Answer method to utilize the new withHistory function, improving message retrieval and context management.
- Refactored the chat method to accept a slice of message.Message instead of a map, enhancing type safety and clarity.
- Introduced a new withHistory function to streamline the process of retrieving chat history and user messages, improving maintainability.
- Enhanced the HookInit method to accept a gin.Context, allowing for better context handling during assistant initialization.
- Updated the assistant API interface to reflect changes in message handling, ensuring consistency across the codebase.
These changes improve the robustness and maintainability of the Neo API, paving the way for future enhancements in assistant functionalities and message management.
- Updated the Answer method to improve assistant initialization by directly calling the new HookInit method, streamlining the process of selecting and initializing assistants based on context.
- Introduced ResHookInit struct to encapsulate the response from the assistant initialization hook, enhancing clarity and maintainability.
- Enhanced the context package by adding a Map method to facilitate easier mapping of context data, improving the overall structure of context management.
- Refactored the assistant interface to include the new HookInit method, ensuring a consistent approach to assistant interactions.
These changes improve the robustness and maintainability of the Neo API, paving the way for future enhancements in assistant functionalities and context management.
- Replaced the custom context creation functions with a new context package, enhancing consistency and maintainability across the API.
- Updated multiple methods in the DSL to utilize the new context package, ensuring a unified approach to context management.
- Removed the obsolete context.go file, streamlining the codebase and reducing redundancy.
These changes improve the overall structure and clarity of the Neo API, paving the way for future enhancements in context handling and assistant functionalities.
- Updated the Upload method in the DSL to default to the assistant in context, improving error handling for missing assistant IDs.
- Introduced parseEnvValue and convertOptions functions in the Vision module to support parsing environment variables in configuration options, enhancing flexibility.
- Refactored storage and model initialization in the Vision service to utilize converted options, ensuring environment variables are correctly applied.
These changes improve the robustness and maintainability of the Neo API, paving the way for better configuration management and error handling in assistant functionalities.
- Removed unused assistant-related functions and types from the Neo API, including local chat and file handling, to streamline the codebase.
- Refactored the assistant initialization process, consolidating the loading and configuration of assistants, including Vision and Connector settings.
- Updated the DSL struct to enhance clarity and maintainability, ensuring better configuration management for assistants.
- Improved error handling and modularity in the assistant loading process, paving the way for future enhancements in AI functionalities.
- Introduced new methods for initializing RAG and store, improving modularity and clarity in the Load function.
- Refactored the assistant initialization process to streamline the loading of built-in assistants and set RAG configurations.
- Moved the defaultAssistant method from neo.go to load.go for better organization and accessibility.
- Enhanced error handling in store initialization to support multiple connector types, including Redis and Mongo.
- Updated the assistant struct to include RAG settings, improving the overall assistant management capabilities.
- Simplified the assistant loading process by removing the asynchronous query for the assistant list and replacing it with a direct call to retrieve the default assistant.
- Introduced a new method, defaultAssistant, to streamline the retrieval of the default assistant based on the current configuration.
- Enhanced the LoadStore function to support loading assistants from a specified path, improving flexibility in assistant management.
- Updated the overall structure for better readability and maintainability, ensuring a more efficient assistant initialization process.
- Removed Weaviate store implementation, streamlining the codebase and focusing on Mongo and Redis backends.
- Introduced GetAssistant method in both Mongo and Redis stores to retrieve a single assistant by ID, improving data access capabilities.
- Updated LoadStore function to utilize the new storage retrieval logic, enhancing the assistant loading process.
- Enhanced the Assistant struct to include a Script field for better management of assistant scripts.
- Improved tests to cover the new GetAssistant functionality, ensuring robust error handling and data retrieval across different scenarios.
- Replaced the conversation handling logic with a new store-based approach, enhancing data management and retrieval capabilities.
- Updated all relevant methods to utilize the new store interface, including GetChats, GetChat, GetHistory, and SaveAssistant, ensuring consistent functionality across the API.
- Removed deprecated conversation-related files and structures, streamlining the codebase and improving maintainability.
- Enhanced the AssistantFilter and AssistantResponse types to support the new store architecture, improving filtering and pagination capabilities.
- Updated tests to cover the new store-based methods and ensure robust functionality across different storage backends.
- Updated the message handling logic to improve error reporting and content management, ensuring more robust communication with clients.
- Introduced a new ReadBase64 method in both Local and OpenAI assistant implementations to read files and return their base64 encoded content, enhancing file handling capabilities.
- Removed the deprecated JSON message handling code, streamlining the message processing structure.
- Refactored message struct to include new fields and methods for better data management and response handling.
- Improved the chat functionality to handle attachments and user messages more effectively, ensuring a smoother user experience.
- Replaced the base assistant package with a local assistant implementation, enhancing modularity and maintainability.
- Updated the newAssistantByConnector function to utilize the local assistant, ensuring consistent error handling and improved functionality.
- Removed obsolete base assistant files, streamlining the codebase and reducing complexity.
- Added a new 'mentionable' field to the assistant table in the Xun implementation, allowing for better management of assistant visibility in mentions.
- Updated SaveHistory method across Mongo, Redis, and Weaviate to include a context parameter, improving flexibility in message storage.
- Modified the Assistant struct in types.go to add new fields: Type, Avatar, and Flows, enhancing the representation of assistant attributes.
- Adjusted the Xun implementation to support the new context handling in SaveHistory, ensuring messages can now include contextual information.
- Updated tests to reflect changes in message structure and ensure proper functionality with the new context parameter.
- Added new GET and POST endpoints for generating custom content, chat titles, and prompts, expanding the API's capabilities.
- Implemented support for Server-Sent Events (SSE) in response handling, allowing for real-time updates and improved user experience.
- Refactored validation and error handling to differentiate between regular and SSE requests, ensuring appropriate responses based on the request type.
- Updated the GenerateWithAI method to support silent mode for regular HTTP requests, enhancing flexibility in content generation.
- Improved overall structure and maintainability of the API by consolidating request handling logic.
- Introduced new API endpoints for generating custom content, chat titles, and prompts, enhancing the functionality of the Neo API.
- Implemented handleGenerateCustom, handleGenerateTitle, and handleGeneratePrompts methods to process generation requests with appropriate validation and error handling.
- Refactored the GenerateWithAI method to support different content types and system prompts, improving the flexibility of AI-generated responses.
- Updated the API router to include the new generation routes, ensuring seamless integration with existing middleware.
- Added time-based generation of chat IDs when not provided, improving chat session management.
- Updated context handling in handleChat to ensure valid chat IDs are used.
- Expanded allowed HTTP methods in CORS headers to include DELETE, enhancing API flexibility.
- Removed redundant chat history saving logic from GenerateChatTitle method, streamlining chat processing.
- 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 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 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.
