v0.4.5 Bug Fixes and Increased Kubernetes Version Support

What's Changed

• Update testing instruction by @tedhtchang in #140
• Fixed head node configuration to match template by @Maxusmusti in #169
• Now supports Kubernetes python v25.3.0

New Contributors

• @tedhtchang made their first contribution in #140

Full Changelog: v0.4.4...v0.4.5

v0.4.4 Minor Updates

• Loading/submitting and deleting AWs from filesystem
• Notebook update to make additional packages pip installable

v0.4.3 Head Node Usability

Fixes issue where small jobs would fail on OpenShift when Ray scheduled them on head node.

v0.4.2 TorchX Scheduler Updates and Fixes

What's Changed

• Change default namespace logic by @anishasthana in #85
• add rdzv_backend parameter to DDPJobDefinition by @MichaelClifford in #87
• make workspace user accessible by @MichaelClifford in #89

New Contributors

• @anishasthana made their first contribution in #85

Full Changelog: v0.4.1...v0.4.2

Caching Bug Fix

Fixes an issue where old TorchX code was being cached and breaking Job submission until refresh.

v0.4.0 Job Management Update

The SDK now has the ability to:

• Submit jobs to a Ray cluster (via TorchX)
• Submit jobs directly to MCAD (via TorchX)
• Check submitted job status
• Check submitted job logs
• Cancel a submitted job

Also included are other minor bug fixes and improvements (mainly clarity on starting vs. running Ray clusters).

v0.3.1 Allow for user defined ports in Auth

What's Changed

• Remove hard-coded port 6443 in auth by @MichaelClifford in #74

Full Changelog: v0.3.0...v0.3.1

v0.3.0 Info and Auth Updates

Updates:

• New all-encompassing cluster.status() method
• New cluster.details() method
• New cluster.wait_ready() method
• New CodeFlareStatus.STARTING status
• Functions get_current_namespace(), list_all_clusters(), and list_all_queued() now all function as intended
• A ton of bug fixes and error-handling for both regular use and edge-cases (not logged in, login expired, no resources created yet,
• resource failure, cluster setup in-progress, etc.)
• A LOT more testing (up to 95%)
• Improved messaging on both expected and unexpected results

Authentication: abstracted from cluster creation/deletion, now can independently authenticate and logout

v0.2.2 Requirement and Dependency Update

Corrects requirements and package dependencies by switching from ray 2.1.0 to ray[default] 2.1.0, and corrects allowed python version range to be in line with rich compatibility.

v0.2.1 Auth Skip TLS Option

Adds a new option to the TokenAuthentication object to skip TLS verification.