New standalone service that receives authenticated HTTP POSTs (e.g. from a
cronjob elsewhere on the home network) and posts them to a Discord channel
via an Incoming Webhook. Fire-and-forget, no dependency on discord-bot's bot
session at all - mirrors alexa-bridge's precedent of a small bridge service
with its own HTTP listener and auth rather than adding an inbound edge to an
existing internal service.
Wires alert-bridge into go.work, CI (changes filter, test job, new
build-alert-bridge job), and the other five Dockerfiles' COPY lines.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Implemented SetTemperature in ClimateService for setting an absolute target temperature.
- Updated ClimateServiceClient and ClimateServiceServer interfaces to include SetTemperature.
- Added corresponding handler and tests for SetTemperature in ClimateGRPC.
- Modified ClimateApp to handle SetTemperature requests without clamping.
- Updated climate.proto to define SetTemperatureRequest message.
- Adjusted Dockerfiles to include alexa-bridge dependencies.
- Updated CI workflow to run `go vet` and `go test` for all modules on every push/PR.
- Implemented a `changes` job to rebuild only affected Docker images based on modified paths.
- Introduced caching for Docker builds to speed up subsequent runs by leveraging registry-based cache.
- Modified Dockerfiles for `ai-gateway`, `discord-bot`, `ha-gateway`, and `tts-gateway` to copy `go.mod` and `go.sum` files first, allowing for better caching of dependencies.
- Added `go.sum` file for `tts-gateway` to ensure proper dependency management.
- Ensured that `go mod download` is executed in the correct order to optimize layer caching.
- 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.
