* fix: copy package includes in Docker build
* fix: copy package includes in GPU Docker builds too
PR #450 fixed the CPU Dockerfile but Dockerfile.gpu and
Dockerfile.gpu.rocm have the identical bug: they COPY src/ then
`uv pip install ".[server]"` without copying the non-src
force-include paths (scripts/install, deploy/windows), so hatchling's
wheel build fails the same way on GPU images (#447).
Adds the two COPY lines to both GPU Dockerfiles and generalizes the
regression test to guard every wheel-building Dockerfile (CPU + both
GPU variants) instead of only the CPU one.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Jon Saad-Falcon <41205309+jonsaadfalcon@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
All three deployment methods bound 0.0.0.0:8000 with no API key, so following
the README produced a server reachable from any device on the network with no
auth. `check_bind_safety` already refuses to start a non-loopback bind without
a key (so these configs actually failed to start) — this wires the key in so
the documented path yields a *working, authenticated* server.
- docker-compose.yml: require `OPENJARVIS_API_KEY` via `${VAR:?...}` so
`docker compose up` fails fast when unset; added `deploy/docker/.env.example`
(un-ignored in .gitignore).
- systemd: add `EnvironmentFile=/etc/openjarvis/env` (no `-` prefix, so a
missing key file blocks startup rather than exposing an open server).
- launchd: bind `127.0.0.1` by default (the personal-device default — no
network exposure, no key needed) with a documented, commented opt-in to
0.0.0.0 + `OPENJARVIS_API_KEY`. Avoids shipping a usable default credential.
- Docs (docker/systemd/launchd) updated with the key-setup step.
- Tests assert each config can't reintroduce an open server, plus
`check_bind_safety` behavior across loopback/public × key/no-key.
Closes#221
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: nvidia gpu config for docker
* refactor: split NVIDIA GPU support into compose override
Address review feedback:
- Revert --engine ollama from base Dockerfile CMD (breaks non-Ollama users)
- Keep bookworm pin and OLLAMA_HOST fix in base config
- Move GPU-specific config (/proc, /sys mounts, deploy.resources.reservations)
into new docker-compose.gpu.nvidia.yml override, matching the existing ROCm
pattern (docker-compose.gpu.rocm.yml)
- Restore Ollama port to standard 11434
- Remove commented-out GPU blocks from base docker-compose.yml
- Add Ollama healthcheck with depends_on condition to base compose
- Remove run.sh from repo root
- Rewrite README Docker section to document CPU, NVIDIA, and ROCm patterns
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Jon Saad-Falcon <41205309+jonsaadfalcon@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
