SelenaCore Update: Dynamic Voice Engine Management and Cloud LLM Integration

I am pleased to announce a significant update to the SelenaCore voice interaction layer. In commit e2e2bcc, I have implemented a dynamic engine management system that allows the platform to handle various voice processing components with greater flexibility.

A major highlight of this update is the integration of cloud-based Large Language Model (LLM) providers. This allows SelenaCore to offload complex natural language processing tasks to powerful remote models, significantly enhancing the intelligence and responsiveness of voice-driven interactions.

To ensure the stability of these new capabilities, I have also introduced a dedicated voice pipeline test. This tool enables end-to-end verification of the audio flow, ensuring that everything from voice capture to LLM processing and speech synthesis works harmoniously. These improvements are crucial for building more sophisticated AI-driven interfaces. For further technical details, please consult our documentation.