- Replaced direct localStorage token access with a centralized `getBearerToken` function across various components and hooks to improve code maintainability and security.
- Updated API calls to use `authenticatedFetch` for consistent authentication handling.
- Enhanced user experience by ensuring proper redirection to login when authentication fails.
- Cleaned up unused imports and improved overall code structure for better readability.
- Replaced the completion step component with a more streamlined onboarding page that includes action cards for managing teams, adding sources, and starting chats.
- Updated the search space form to make the description field optional and improved validation messages.
- Adjusted the onboarding logic to support auto-configuration of LLM roles and improved loading states.
- Removed unused imports and components to clean up the codebase.
- Added "Add Sources" button in ChatInputGroup for easier document management.
- Introduced a "Manage Team" card in CompletionStep to facilitate team collaboration.
- Updated UI elements for better visual feedback and interaction.
- Removed unused role examples in LLMRoleManager for cleaner code.
- Added a new endpoint to fetch community-curated prompts in `search_spaces_routes.py`.
- Enhanced `SetupPromptStep` and `PromptConfigManager` components to display and utilize community prompts.
- Introduced UI elements for selecting and applying prompts, including categories and expandable views.
- Improved state management for selected prompts and custom instructions.
- Added `citations_enabled` and `qna_custom_instructions` fields to the SearchSpace model for better QnA configuration.
- Updated the creation and update schemas to handle new fields with appropriate defaults.
- Refactored QnA handling in the agent to utilize the new SearchSpace fields for improved response customization.
- Adjusted UI components to include settings for managing QnA configurations.
- Enhanced onboarding process to incorporate prompt setup as an optional step.
- Added new LLM providers including Google, Azure OpenAI, Bedrock, and others to the backend.
- Updated the model selection UI to dynamically display available models based on the selected provider.
- Enhanced the provider change handling to reset the model selection when the provider is changed.
- Improved the overall user experience by providing contextual information for model selection.
- RBAC soon??
- Updated various services and routes to handle search space-specific LLM preferences.
- Modified frontend components to pass search space ID for LLM configuration management.
- Removed onboarding page and settings page as part of the refactor.
