* feat(sandbox): inject host gateway hostAliases into sandbox pods
Sandbox pods running in the k3s cluster cannot resolve host.docker.internal
by default, preventing them from reaching services on the Docker host.
Detect the host gateway IP (default route) in the cluster entrypoint,
thread it through the Helm chart to the gateway server, and inject
hostAliases entries (host.docker.internal, host.openshell.internal)
into every sandbox pod spec. The injection is conditional -- when the
IP is empty (non-Docker deployments), no hostAliases are added.
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Co-authored-by: Piotr Mlocek <pmlocek@nvidia.com>
PR #281 removed the shared openshell-cluster Docker network in favor of
the default bridge. This restores custom bridge networking but makes each
gateway use its own isolated network named openshell-cluster-{name},
matching the existing container/volume naming convention.
Changes:
- Add network_name() to constants.rs for per-gateway network naming
- Add ensure_network() with retry/backoff and force_remove_network()
parameterized by network name instead of a global constant
- Attach containers to their per-gateway network via network_mode
- Disconnect and remove the network during gateway destroy
- Wire ensure_network() into the deploy flow before ensure_volume()
- Update architecture docs to reflect per-gateway network isolation
* feat(sandbox): add gpu sandbox scheduling support
Allow sandbox creation to request GPU resources explicitly or infer them from GPU image names. This wires GPU intent through bootstrap, validates gateway support, and adds dedicated GPU E2E coverage for follow-up cluster testing.
* fix(cli): improve completion coverage and gateway selection
Closes#232
Add typed completion metadata for gateway, sandbox, and path arguments, make gateway selection interactive on TTYs, and expose root subcommands in completions while keeping non-interactive behavior stable.
Add --gpu flag to 'openshell gateway start' that enables NVIDIA GPU
access inside the cluster container. When enabled, the Docker container
receives GPU device requests via bollard, k3s auto-detects the NVIDIA
runtime, and the NVIDIA k8s-device-plugin is deployed via HelmChart CR
so Kubernetes workloads can request nvidia.com/gpu resources.
- Add GPU device request to Docker container creation (bollard DeviceRequest)
- Set GPU_ENABLED=true env var to gate GPU manifest deployment
- Multi-stage Dockerfile build to bundle NVIDIA Container Toolkit binaries
- Conditional GPU manifest copy in cluster entrypoint
- HelmChart CR for nvidia-device-plugin v0.18.2 with GFD and NFD enabled
- Thread gpu bool through DeployOptions, CLI flag, and run dispatch
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Co-authored-by: Piotr Mlocek <pmlocek@nvidia.com>
* refactor(docker): rename server image to gateway
Rename Dockerfile.server to Dockerfile.gateway and update all image
references from openshell/server to openshell/gateway across Helm
charts, Kubernetes manifests, mise tasks, build/deploy scripts, CI
workflows, and documentation.
The underlying Rust binary (navigator-server) is unchanged -- this
rename only affects the Docker image name and Dockerfile.
* fix: catch remaining server->gateway references in docs and comments
