- Implemented core model components in `modules.py` including various convolutional layers and normalization techniques.
- Added transformation functions in `transforms.py` for piecewise rational quadratic transformations.
- Created utility functions in `utils.py` for checkpoint management, logging, and hyperparameter handling.
- Introduced monotonic alignment functionality with Cython optimization in `monotonic_align`.
- Developed a minimal inference server in `server.py` to handle synthesis requests.
- Updated requirements to include necessary dependencies for Cython and scipy.
- Added ClimateApp to handle climate entity operations including turning on/off, adjusting temperature, and setting HVAC modes.
- Implemented caching mechanism for climate entities to optimize state retrieval.
- Created domain model for Climate with attributes such as current temperature, target temperature, and HVAC modes.
- Developed unit tests for ClimateApp to ensure functionality and correctness.
feat: add RemoteApp for SwitchBot commands
- Introduced RemoteApp to facilitate sending commands to SwitchBot devices.
- Implemented SendCommand method for executing device commands without state management.
chore: update configuration for SwitchBot integration
- Added SwitchBotToken and SwitchBotSecret to configuration for enabling SwitchBot Cloud commands.
feat: define gRPC services for Climate and Remote operations
- Created climate.proto and remote.proto files to define gRPC services for climate management and remote command execution.
- Implemented corresponding request and response message structures for gRPC interactions.
- 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.
- Added ListSwitches method to SwitchService in switch_grpc.pb.go.
- Implemented SwitchGRPC adapter for ListSwitches in switch.go.
- Created SwitchApp for managing switch states and added ListSwitches logic.
- Updated core domain with Switch struct and associated methods.
- Enhanced LightApp to include ListLights functionality.
- Updated protobuf definitions for Switch and Light services to include new request and response messages.
- Introduced error handling for unimplemented methods in the gRPC server.
