# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Repo Overview `home-services` is a Go workspace of four internal services for home control, connected by gRPC and sharing committed protobuf-generated code: ```text Discord users | v discord-bot -----> ha-gateway -----> Home Assistant REST API | v ai-gateway ------> Ollama | v ha-gateway ``` - **ha-gateway** (port `50051`) — gRPC boundary for Home Assistant. Talks to HA's REST API; implements entity state, light control/discovery, switch control/discovery, and climate (HVAC) control/discovery; also relays SwitchBot Cloud remote commands (`RemoteApp`) when `SWITCHBOT_TOKEN`/`SWITCHBOT_SECRET` are set. Event streaming is stubbed. - **ai-gateway** (port `50052`) — gRPC service that turns free-form text into home actions. Calls Ollama for intent extraction, resolves intents against a cached light list from `ha-gateway`, and calls `ha-gateway` to execute approved actions. - **discord-bot** — registers `/light`, `/switch`, `/ac`, `/ai` slash commands and calls `ha-gateway`/`ai-gateway` via gRPC clients. - **tts-gateway** (port `50053`) — gRPC text-to-speech service (VITS voice model, 92 Umamusume voices), paired with a Python/libtorch inference sidecar (`tts-gateway/sidecar/`, deployed as a second container in the same pod) that needs an Nvidia GPU — see `TTS_GATEWAY_PLAN.md` for why. Not yet wired into the diagram above; nothing calls it yet (a discord-bot `/speak` command is the planned follow-up). See `tts-gateway/README.md` for its API/config/local-run details. Each service is a separate Go module (own `go.mod`) joined by `go.work` at the root, plus a `gen` module for shared generated code. Module paths are `gitea.nik4nao.com/nik/home-services/{ha-gateway,ai-gateway,discord-bot,tts-gateway,gen}`. ## Architecture (hexagonal, per service) Every service follows the same internal layout, with dependencies pointing inward: ```text cmd// # process entrypoint and wiring (loads .env, builds adapters, starts gRPC) internal/adapters/primary/ # inbound edges: gRPC servers, Discord handlers internal/adapters/secondary/ # outbound edges: HA REST client, Ollama client, ha-gateway/ai-gateway gRPC clients internal/app/ # use-case orchestration internal/core/domain/ # domain types internal/core/ports/ # driving (inbound) and driven (outbound) interfaces internal/config/ # environment loading internal/logger/ # slog setup internal/telemetry/ # OpenTelemetry setup ``` `internal/core` has no dependency on adapters — ports are interfaces that adapters implement (driven) or call into (driving). When adding a capability, the usual path is: define/extend a port in `core/ports`, implement orchestration in `app`, then wire an adapter in `adapters/primary` or `adapters/secondary`. Protobuf contracts live in `proto/` (buf module, `ai/v1`, `ha/v1`, and `tts/v1` packages). Generated Go code is committed under `gen/` and consumed by all four services through the Go workspace — do not hand-edit files in `gen/`. ## `tmp/` is reference-only, never a dependency `tmp/` is gitignored — nothing under it is pushed to git, and it should be treated as temporary scratch space for reference material (e.g. `tmp/reference/switchbot-control-reference/`, a standalone CLI copied in for local discovery/testing against an external API). Rules: - It's fine to read code under `tmp/` for patterns, to run its scripts/tools locally (a discovery script, a CLI, etc.), or to use it as a manual testing aid. - Never make any of the four services (`ha-gateway`, `ai-gateway`, `discord-bot`, `tts-gateway`) import, `go.work use`, or otherwise depend on anything under `tmp/` at build or runtime. Since `tmp/` isn't committed, that dependency would silently break for every other clone of the repo (including CI). `tts-gateway/sidecar/` is a real example of doing this correctly — its model code was copied out of `tmp/reference/uma-tts-api/` into a committed location rather than referenced in place. - If a reference tool under `tmp/` lives in its own Go module nested inside this repo's `go.work` workspace, invoke it with `GOWORK=off` rather than adding it to the root `go.work` — e.g. `GOWORK=off ./scripts/some-tool ...` from that tool's own directory. - If something under `tmp/` turns out to be genuinely needed at runtime, port the actual logic into the relevant service's `internal/` tree (following the hexagonal layout above) instead of reaching into `tmp/` from committed code. ## Common Commands Regenerate protobuf code after changing anything under `proto/` (requires `buf`): ```bash buf generate ``` Run tests / vet (from repo root, or `cd` into a service and drop the prefix): ```bash go test ./ha-gateway/... ./ai-gateway/... ./discord-bot/... ./tts-gateway/... go vet ./ha-gateway/... ./ai-gateway/... ./discord-bot/... ./tts-gateway/... ``` Run a single test: ```bash cd ha-gateway && go test ./internal/app/... -run TestEntityAppGetState ``` Build binaries: ```bash go build ./ha-gateway/... ./ai-gateway/... ./discord-bot/... ./tts-gateway/... ``` Run a service locally (each loads `.env` from its own working directory via `godotenv`, so `cd` into the service dir first): ```bash cd ha-gateway && cp .env.example .env && go run ./cmd/gateway cd ai-gateway && cp .env.example .env && go run ./cmd/gateway cd discord-bot && cp .env.example .env && go run ./cmd/bot ``` `tts-gateway` additionally needs the `open_jtalk` CLI/dictionary/voice, `ffmpeg`, and a running inference sidecar to actually synthesize anything — see `tts-gateway/README.md` for the full local/nik-gpu run instructions rather than a short snippet here. For local plaintext dev, point gateways at each other with `TLS_DIR` empty, e.g. `HA_GATEWAY_ADDR=localhost:50051`, `AI_GATEWAY_ADDR=localhost:50052`. Build container images (from repo root, since Dockerfiles reference the whole workspace): ```bash docker build -f ha-gateway/Dockerfile -t ha-gateway:dev . docker build -f ai-gateway/Dockerfile -t ai-gateway:dev . docker build -f discord-bot/Dockerfile -t discord-bot:dev . docker build -f tts-gateway/Dockerfile -t tts-gateway:dev . docker build -f tts-gateway/sidecar/Dockerfile -t tts-sidecar:dev tts-gateway/sidecar ``` gRPC smoke checks (with the relevant service running): ```bash grpcurl -plaintext -d '{"domain":"light"}' localhost:50051 ha.v1.EntityService/ListStates grpcurl -plaintext -d '{"entity_id":"light.living_room","brightness_pct":80}' localhost:50051 ha.v1.LightService/TurnOn grpcurl -plaintext -d '{"text":"turn on the desk lamp","source":"local"}' localhost:50052 ai.v1.AIService/Query grpcurl -plaintext -d '{}' localhost:50052 ai.v1.AIService/ListModels ``` `tts-gateway`'s smoke check needs the sidecar (and, for real inference, a GPU) up first — see `tts-gateway/README.md` rather than duplicating the fuller sequence here. Note: `ha-gateway` always registers gRPC reflection; `ai-gateway` only registers reflection when `LOG_LEVEL=debug`. ## Testing Conventions Tests use the standard library `testing` package only (no testify). Mocks are hand-written structs implementing the relevant `core/ports/driven` interface with function fields (see `ha-gateway/internal/app/entity_test.go` for the pattern). ## Configuration Notes - Every service reads `TLS_DIR` to enable optional mTLS; when set, the directory must contain `tls.crt`, `tls.key`, and `ca.crt`. - `OTEL_ENDPOINT` enables OTLP gRPC traces/metrics; leave empty for local no-op telemetry. - `LOG_FORMAT=json` is the production default; `text` is easier to read locally. - `ha-gateway` reads `SWITCHBOT_TOKEN`/`SWITCHBOT_SECRET` (optional) to enable SwitchBot Cloud remote commands via `RemoteApp`; leave empty to disable that path. - None of the services implement app-layer authorization — they rely on being kept on a trusted internal network or on mTLS. Keep this in mind before adding any endpoint that wasn't previously reachable. ## nik-gpu deployment target `tts-gateway`'s inference sidecar (see `TTS_GATEWAY_PLAN.md` for the full history) runs on `nik-gpu`, a remote Nvidia GPU host reachable via `ssh nik-gpu` — both for local dev/smoke-testing (via the Claude Code skills `nik-gpu-status` (read-only check), `nik-gpu-sync` (rsync this repo to `~/repo/home-service/` there), `nik-gpu-docker-build` (build/smoke-test via a `nik-gpu` Docker context), and `tts-gateway/README.md`'s run instructions) and as the actual GPU node backing the production Kubernetes deployment — see "Infrastructure / Deployment" below. **Never automatically run installation or other host-system-altering commands on nik-gpu** — `apt`/`apt-get`, `pip install` outside a container, Docker daemon config changes, driver/toolkit updates, or anything requiring `sudo`. Always print the exact command and ask the user to run it themselves (their own terminal, or `! ` in a Claude Code session). This applies to the bare nik-gpu host specifically; installing packages *inside* a Dockerfile build (e.g. `apt-get install open-jtalk` as a build step) is a normal container build action, not a host mutation, and is fine to run. ## Infrastructure / Deployment This repo builds and pushes Docker images (see CI below) but does not deploy them. Actual deployment — Kubernetes manifests, Secrets, GPU scheduling — lives in a **separate** repo: `~/repo/homelab`, specifically `manifests/home-services/*.yaml`. That covers Deployments/Services for all four services here (namespace `home-services`), plus cluster-level pieces like `nvidia-device-plugin.yaml` and sealed secrets (`*-sealed.yaml` manifests generated from `*-secret.sh` scripts, one pair per service that needs one — `tts-gateway` doesn't have one yet, since unlike `ha-gateway`/`discord-bot` it currently needs no external tokens/credentials). When a question is about how something actually behaves *in production* — not just what the code does — check that repo before guessing or assuming something isn't deployed; this repo alone doesn't show the full picture. Specifics of what's actually in `tts-gateway.yaml` there (current as of 2026-07-25 — it's maintained independently of this repo, so verify against the live file rather than trusting this description to stay accurate): - `tts-gateway` and `tts-sidecar` run as **two containers in one Pod**, not separate Deployments — the Go gateway reaches the sidecar over `localhost:50054`, mirroring the `--network host` pattern documented in `tts-gateway/README.md` for local Docker testing. - GPU scheduling: `runtimeClassName: nvidia`, `nodeSelector: nik4nao.com/gpu: "true"`, and `nvidia.com/gpu: 1` request/limit on the sidecar container. `strategy: Recreate` instead of the default `RollingUpdate` — nik-gpu only has one allocatable GPU, so a rolling update would deadlock waiting for a GPU still held by the pod it's replacing. - Model artifact distribution (checkpoint + hparams) is a `hostPath` volume at `/data/tts-gateway` on the nik-gpu node, not baked into the image or automated — someone has to manually place `G_790000.pth`/`uma.json` there. This is a known-open gap (see `handoff.md`), not a deliberate final design. - mTLS (`TLS_DIR`) is currently commented out on `tts-gateway`, for plaintext `grpcurl` testing from outside the cluster during initial rollout — a live TODO, not a permanent decision, unlike every other service here which assumes mTLS-or-trusted-network as its only access boundary (see "Configuration Notes" above). ## CI `.gitea/workflows/ci.yaml` always runs `go vet`/`go test` for all five modules (`gen`, `ai-gateway`, `ha-gateway`, `discord-bot`, `tts-gateway`) on every push/PR. On pushes to `main`, a `changes` job (`dorny/paths-filter`) determines which of the five images actually need rebuilding based on which paths changed, so an edit scoped to one service doesn't rebuild (and re-push) all of them — `gen/`, `go.work`, and `go.work.sum` count as shared and mark every Go-based image as changed, since a dependency bump there can affect all of them. Each `build-*` job is gated on that output and, when it runs, uses `docker/build-push-action`'s registry-based cache (`cache-from`/`cache-to: type=registry,ref=.../:buildcache`) so unchanged Docker layers (e.g. `go mod download`, `apt-get`/`pip install`) don't get redone on every run — the *first* run after adding this has nothing to pull from and builds fully fresh, subsequent ones should be much faster. `tts-sidecar` (the Python/CUDA inference sidecar under `tts-gateway/sidecar/`) is a large ~13GB image; it builds fine on a generic runner since only *running* it needs a GPU, not building it. Note that `ai-gateway/Dockerfile`, `ha-gateway/Dockerfile`, `discord-bot/Dockerfile`, and `tts-gateway/Dockerfile` each `COPY` every other service directory (not just their own) because `go.work` lists all five Go modules as workspace members — Go's workspace-mode module resolution needs every listed directory present in the build context, even ones a given service doesn't otherwise depend on. Adding a new module to `go.work` means adding a matching `COPY` line (both the manifest-only and full-source copies, see below) to the other Dockerfiles too, or their builds break. Each of those four Dockerfiles also copies every module's `go.mod`/`go.sum` first and runs `go mod download` *before* copying full source, so that layer's cache survives source-only edits instead of being invalidated by every commit.