SelenaCore Update: Streamlined AI Setup and Enhanced Docker Integration

We are excited to share a major refinement to how SelenaCore handles artificial intelligence and deployment. We have streamlined the setup process by adding a dedicated LLM Provider step to our initial wizard 22f5440, allowing you to choose your preferred local or remote AI engine right from the start. To ensure the best performance, we also introduced a GPU-aware toggle for our Text-to-Speech (TTS) engine, helping those with compatible hardware enjoy near-instant voice responses.

On the technical side, we’ve refactored our Ollama integration to act as a standard provider 3ccc7c1 and implemented an automatic configuration migration f27ebdb so existing users don't have to worry about manual updates. Furthermore, we’ve bundled the Piper TTS engine directly into our Docker container e05b855, making the installation process truly "plug-and-play" for container users. Finally, we’ve automated our documentation sync b1954b6, ensuring the GitHub Wiki always reflects the latest features.

What has changed:

• Added LLM provider selection and GPU-aware TTS toggle to the Setup Wizard.
• Bundled Piper TTS into the core Docker image for simplified deployment.
• Refactored Ollama into a standard provider with automated configuration migration.
• Implemented automatic GitHub Wiki synchronization for real-time documentation updates.
• Enabled self-registration for module intents to improve system modularity.

#SelenaCore #AI #Docker #SmartHome #Automation #Linux #Privacy #OpenSource