build(server): split Dockerfiles, make ML model paths optional (#120)

2026-05-02T14:26:39+00:00

Existing Dockerfile (with LLM/STT/TTS model download) is now `Dockerfile.full`. The new top-level `Dockerfile` builds a slim image without python, without huggingface_hub, without the model download step. The slim image is the new default for users who only want the orchestration surface — the directive folder UI, the mesh/task system, the API. ## Slim Dockerfile * No python / huggingface_hub / model downloads. * Same runtime tooling as `k8s/daemon/Dockerfile` (git, gh CLI, ssh, jq, curl, ca-certs, libssl3). * Embeds the daemon binary at /app/daemon-binaries/makima-linux-x86_64 for the in-server download endpoint. * PARAKEET_MODEL_DIR / SORTFORMER_MODEL_PATH / CHATTERBOX_MODEL_DIR are intentionally NOT set — Listen and Speak return "ML models not configured" if a client tries to use them. ## ML model paths now optional `ServerArgs.parakeet_model_dir`, `parakeet_eou_dir`, `sortformer_model_path`, `chatterbox_model_dir` are now `Option` (no defaults). The bin constructor inspects them: if all four are present, configures `AppState::new`; if all four are absent, uses the new `AppState::new_slim()` which leaves `model_config = None`. The lazy load path in `get_ml_models` already returned a clean error for None. Speak (TTS) was already optional via `model_config.as_ref()` — still works. Mixed configurations log a warning and degrade to slim mode. ## Ops note The old `Dockerfile.full` retains the original behaviour for anyone who needs STT/diarization/TTS in production. CI still builds the daemon image from `k8s/daemon/Dockerfile` (untouched). Co-authored-by: Claude Opus 4.7 (1M context)

soryu/Dockerfile.full, branch master

build(server): split Dockerfiles, make ML model paths optional (#120)