- 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.
