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

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<String>` (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) <noreply@anthropic.com>

1 files changed, 57 insertions, 0 deletions

diff --git a/Dockerfile.full b/Dockerfile.full
new file mode 100644
index 0000000..a8a9245
--- /dev/null
+++ b/Dockerfile.full
@@ -0,0 +1,57 @@
+FROM rust:1.91-bookworm
+
+WORKDIR /app
+
+# Install dependencies
+RUN apt-get update && apt-get install -y \
+    pkg-config \
+    libssl-dev \
+    curl \
+    python3 \
+    python3-pip \
+    && pip3 install --break-system-packages huggingface_hub[cli] \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy and run model download script
+COPY makima/sh/download-models.sh /app/download-models.sh
+RUN chmod +x /app/download-models.sh
+
+ARG MODEL_BASE_URL
+ENV MODEL_BASE_URL=${MODEL_BASE_URL}
+ENV MODELS_DIR=/app/models
+ENV CHATTERBOX_MODEL_DIR=/app/models/chatterbox-turbo
+RUN /app/download-models.sh echo "Models downloaded"
+
+# Copy workspace files
+COPY Cargo.toml Cargo.lock ./
+COPY makima ./makima
+COPY vendor ./vendor
+COPY tools/stt-client ./tools/stt-client
+COPY voices ./voices
+
+# Build release binary
+RUN cargo build --release --package makima --bin makima
+RUN cp /app/target/release/makima /makima
+
+# Embed daemon binary for download endpoint
+RUN mkdir -p /app/daemon-binaries
+RUN cp /app/target/release/makima /app/daemon-binaries/makima-linux-x86_64
+ENV DAEMON_BINARIES_DIR=/app/daemon-binaries
+
+# Clean up build artifacts to reduce image size
+RUN rm -rf /app/target /app/makima/src /app/vendor /app/tools /usr/local/cargo/registry
+
+# Set default environment variables
+ENV PORT=8080
+ENV RUST_LOG=makima=info,tower_http=info
+ENV PARAKEET_MODEL_DIR=/app/models/parakeet-tdt-0.6b-v3
+ENV PARAKEET_EOU_DIR=/app/models/realtime_eou_120m-v1-onnx
+ENV SORTFORMER_MODEL_PATH=/app/models/diarization/diar_streaming_sortformer_4spk-v2.1.onnx
+ENV CHATTERBOX_MODEL_DIR=/app/models/chatterbox-turbo
+
+EXPOSE 8080
+
+HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
+    CMD curl -f http://localhost:${PORT}/api/v1/healthcheck || exit 1
+
+CMD ["/makima", "server"]