- Updated LLMClient interface to support model-specific generation and model listing.
- Integrated model store and validator into the command application for managing AI models.
- Implemented commands for setting, getting, and listing active AI models in Discord.
- Enhanced AI query handling to utilize the selected model and return model information in responses.
- Added caching mechanism for model validation to improve performance.
- Introduced gRPC methods for listing available AI models in the ai-gateway.
- Updated protobuf definitions to include model-related fields and messages.
- Added tests for model store and validator functionalities.
- Implemented new gRPC service `AIService` in `proto/ai/v1/ai.proto` for handling natural language queries.
- Generated Go code for the gRPC service and messages in `gen/ai/v1/`.
- Created `services/ai-gateway/` directory structure with necessary files for the service.
- Added configuration loading and structured logging.
- Implemented domain logic for intent parsing and interaction with Home Assistant.
- Established outbound adapters for Ollama and Home Assistant with mTLS support.
- Updated `go.work` to include the new service and maintain existing dependencies.
- Modified `discord-bot` to use the new `ai-gateway` for AI interactions.
- Added deployment manifest for Kubernetes and CI/CD configuration for building and deploying the service.
