- Commented out the message writing logic in the streamChat method to prevent unintended output when the message is marked as done.
- This change enhances the control over the response flow, allowing for better integration with the newly introduced hook methods for managing assistant interactions.
These modifications contribute to the overall robustness and maintainability of the Neo API, aligning with recent enhancements in assistant functionalities.
- Introduced HookDone and HookFail methods to manage completion and failure scenarios in assistant responses, improving error handling and output customization.
- Updated streamChat method to utilize these hooks, allowing for more flexible response management based on the assistant's output and error states.
- Enhanced ResHookDone and ResHookFail structs to include next action handling, input messages, and error information, providing better control over assistant interactions.
These changes improve the robustness and maintainability of the Neo API, paving the way for enhanced assistant functionalities and message management.
- Added message handling in the Execute method to support input messages from the response.
- Updated the handleChatStream method to pass the context to the streamChat method, improving context management during chat streaming.
- Introduced the HookStream method to handle streaming responses, allowing for custom output and next action handling based on the assistant's response.
- Enhanced the ResHookStream struct to include silent output control and next action management, providing better flexibility in assistant interactions.
These changes improve the robustness and maintainability of the Neo API, paving the way for enhanced assistant functionalities and message management.
- 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 TestUpload and TestUploadWithRAG functions to remove unnecessary parameters and improve clarity.
- Enhanced RAG handling by adding options for enabling/disabling RAG processing during file uploads.
- Improved test cases for RAG functionality, ensuring proper indexing behavior based on RAG settings.
- Refactored vision-related tests to include options for enabling/disabling vision processing, ensuring accurate responses based on the model capabilities.
- Streamlined the setup of test assistants to simplify the testing process.
These changes improve the maintainability and clarity of the attachment handling code, paving the way for better functionality in file uploads and processing.
- Removed obsolete file upload/download functions and related constants from the Assistant struct, streamlining the codebase.
- Updated the connector type in load tests to use "gpt-3_5-turbo" for improved compatibility with current models.
- Introduced VisionCapableModels to support a range of models with vision capabilities, enhancing AI functionality.
- Enhanced the File struct to include additional fields for description, URL, and document IDs, improving data management for file handling.
These changes improve the overall structure and maintainability of the Neo API, paving the way for future enhancements in assistant capabilities.
- Added the github.com/spf13/cast dependency to improve type conversion capabilities.
- Enhanced the requestMessages function to include prompts, allowing for more dynamic message handling.
- Updated the LoadBuiltIn function to ensure the "Built-in" tag is added if it doesn't already exist, improving assistant organization.
- Refactored sorting logic to utilize the cast package for better type safety.
These changes support improved functionality and maintainability in the assistant management process.
- 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.
- Updated the SetRAG function to include RAG settings, allowing for more detailed configuration during assistant initialization.
- Refactored the LoadBuiltIn function to streamline the saving process of assistants, improving error handling and code clarity.
- Modified loadPrompts and loadScript functions to return timestamps, enabling tracking of creation and update times for assistants.
- Enhanced the Assistant struct with created_at and updated_at fields, improving data management and traceability.
- Overall improvements to the assistant loading process, ensuring better organization and maintainability of the codebase.
- Deleted the assistant.go and assistant_test.go files, which contained the implementation and tests for assistant management.
- This cleanup reduces complexity and focuses on core functionalities, paving the way for future enhancements in assistant handling.
- 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.
- Added support for initializing assistant tags with a default value of "Built-in" if none are provided, improving data consistency.
- Implemented loading of tags, options, and description from the input data map, enhancing the flexibility of assistant configuration.
- Updated the LoadBuiltIn and loadMap functions to accommodate new fields, streamlining the assistant loading process.
- Added a new endpoint to retrieve all assistant tags, improving data accessibility for clients.
- Updated the assistant list handling to support filtering by built-in status and assistant ID, enhancing the filtering capabilities.
- Introduced a method to load built-in assistants, streamlining the assistant initialization process.
- Enhanced the Assistant struct with new fields for path, built-in status, and sorting, improving data organization.
- Implemented validation and cloning methods for the Assistant struct, ensuring data integrity and ease of use.
- Updated tests to cover new functionalities, including validation, cloning, and tag retrieval, ensuring robust functionality across the assistant management operations.
- 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.
- 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.
