- Replaced the Flows field in the Assistant struct with a Workflow field to better represent the assistant's functionality.
- Updated the Clone method to perform a deep copy of the Workflow instead of Flows.
- Adjusted related test cases to reflect the changes in the Assistant struct and ensure proper functionality.
- Introduced locale parameter in GetAssistants and GetAssistant methods across various store implementations to support localized responses.
- Updated handleChatLatest, handleAssistantList, handleAssistantDetail, and handleAssistantTags functions to utilize the new locale handling for better user experience.
- Refactored GetPlaceholder method in the Assistant struct to accept a locale argument for dynamic placeholder translations.
- Removed redundant i18n code and centralized translation logic for cleaner implementation.
- Implement Assets method in Assistant struct to read asset files
- Add jsAssets function to JavaScript bridge for accessing assets
- Support optional data replacement in asset file content
- Enable dynamic asset retrieval with optional template data processing
- Updated `DSL` struct to include `Connectors` with `assistant.ConnectorSetting` type
- Modified `initAssistant()` to set connector settings via `SetConnectorSettings()`
- Adjusted `load.go` and `types.go` to support new connector settings configuration
- Implemented connector-specific tool and vision handling in assistant methods
- Renamed `Functions` to `Tools` across multiple files
- Added `ConnectorSetting` to support vision and tools flags
- Updated loading and serialization logic for tools
- Modified message contents handling for better JSON parsing
- Adjusted test cases to reflect tool-related changes
- Introduced a new Placeholder struct to provide additional metadata for assistants
- Updated Assistant struct to include an optional Placeholder field
- Modified loading and mapping methods to handle Placeholder data
- Extended database schema and test cases to support Placeholder functionality
This enhancement provides a flexible way to add descriptive metadata to assistants, improving their discoverability and configuration.
- Introduced a new Function type to define assistant functions, enhancing the assistant's capabilities.
- Updated the Assistant struct to include a Functions field, allowing for dynamic function management.
- Refactored the streamChat method to handle tool calls, improving interaction with functions during chat streaming.
- Enhanced message handling in the NewOpenAI function to support tool call responses, ensuring proper message parsing.
- Implemented loading and saving of functions from a JSON file, streamlining function management within the assistant.
These changes improve the robustness and maintainability of the Neo API, paving the way for more flexible and powerful 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.
- 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.
