- Implement Groq_AI_Compatibility_Service to manage WooCommerce dependency and admin notices.
- Create Groq_AI_Log_Scheduler for scheduled log cleanup based on settings.
- Develop Groq_AI_Model_Service for model selection and caching.
- Add language translations in POT file for Dutch.
- Set up PHPUnit configuration and bootstrap for testing.
- Implement unit tests for model exclusions, provider request building, settings management, and term saving functionality.
- Introduced Groq_AI_Logs_Admin class to manage AI logs in the admin panel, including log viewing and detail rendering.
- Created Groq_AI_Settings_Renderer class for rendering settings fields in a structured manner.
- Implemented Groq_AI_Term_Admin_Base class to handle term-related functionalities, including term page registration and bulk actions for term descriptions.
- Enhanced term management with AJAX support for generating term descriptions and handling Rank Math integration.
- Introduced a new JavaScript file for handling bulk term generation in the admin interface.
- Implemented AJAX requests for generating terms and handling responses with appropriate logging.
- Enhanced the Groq_AI_Ajax_Controller to support new options for term generation, including origin and force parameters.
- Improved error handling and logging for term generation events.
- Updated the user interface to reflect the status of term generation and provide feedback to the user.
- Implemented Groq_AI_Google_Analytics_Data_Client for fetching GA4 data.
- Created Groq_AI_Google_Search_Console_Client for retrieving Search Console data.
- Added Google OAuth client for authentication with Google APIs.
- Enhanced Groq_AI_Settings_Manager to include Google OAuth settings.
- Introduced term context building methods in Groq_AI_Google_Context_Builder.
- Developed JavaScript functionality for term generation in the admin interface.
- Added methods for generating term prompts and handling responses.
- Improved error handling and response parsing for Google API interactions.
- Updated localization strings in various classes to use the constant `GROQ_AI_PRODUCT_TEXT_DOMAIN` instead of hardcoded text domain.
- Introduced an image context limit setting in the settings manager and adjusted related methods to accommodate this new feature.
- Modified prompt builder to handle image context limit when building product context blocks and retrieving image payloads.
- Enhanced error handling and response structures to include new fields related to image context.
- Added support for title suggestions in the structured response from the AI.
- Added support for image context in product prompts, allowing images to be sent as URLs or Base64.
- Introduced a new settings page for managing prompt configurations.
- Implemented caching for allowed models per provider to enhance performance.
- Enhanced logging to include image context usage details.
- Added model exclusions management to prevent the use of specific models.
- Updated AJAX controller to handle image context in requests.
- Refactored prompt builder to support image context in prompts.
- Introduced `Groq_AI_Provider_Google` and `Groq_AI_Provider_Groq` classes for handling AI interactions with Google and Groq respectively.
- Enhanced `Groq_AI_Provider_Manager` to register and manage multiple AI providers.
- Implemented `Groq_AI_Conversation_Manager` for managing conversation IDs and context hashes.
- Added `Groq_AI_Generation_Logger` for logging AI generation events and managing log tables.
- Developed `Groq_AI_Prompt_Builder` for constructing prompts and processing AI responses.
- Established `Groq_AI_Settings_Manager` for managing plugin settings, including context fields and module configurations.
