- Changed the type of `keywordFinish` from an array to a string in multiple DTOs and controller interfaces to simplify data handling.
- Updated the `BaseChatbotService` to include logic for updating session status to 'opened' and managing user responses more effectively.
- Refactored the media message handling in the `BaseChatbotService` to streamline the process and improve readability.
- Enhanced error logging across various services to ensure better traceability during operations.
This commit focuses on improving the structure and consistency of chatbot integrations while ensuring that session management is robust and user-friendly.
- Updated OpenaiService and related classes to enhance the initialization process by ensuring the correct order of parameters.
- Simplified audio message handling by consolidating transcription logic and improving error handling.
- Refactored the OpenaiController to utilize the new structure, ensuring better integration with the base chatbot framework.
- Enhanced logging for better traceability during audio processing and API interactions.
- Introduced a base structure for chatbot integrations, including BaseChatbotController and BaseChatbotService.
- Added common DTOs for chatbot settings and data to streamline integration processes.
- Updated existing chatbot controllers (Dify, Evoai, N8n) to extend from the new base classes, improving code reusability and maintainability.
- Enhanced media message handling across integrations, including audio transcription capabilities using OpenAI's Whisper API.
- Refactored service methods to accommodate new message structures and improve error handling.
- Added support for audio message detection and transcription using OpenAI's Whisper API.
- Integrated media downloading for both audio and image messages, with appropriate error handling.
- Updated logging to redact sensitive information from payloads.
- Modified existing methods to accommodate the new message structure, ensuring seamless integration with EvoAI services.
- Introduced Evoai and EvoaiSetting models in both MySQL and PostgreSQL schemas.
- Implemented EvoaiController and EvoaiService for managing EvoAI bots.
- Created EvoaiRouter for handling API requests related to EvoAI.
- Added DTOs and validation schemas for EvoAI integration.
- Updated server module and chatbot controller to include EvoAI functionality.
- Configured environment settings for EvoAI integration.
