v1.35

Release notes

We are pleased to announce the release of v1.35.0, which includes several new features, improvements, and bug fixes. Please note that this release can contain breaking changes.

⚠️ Breaking changes

• Upgrading from versions < v1.30.0 to v1.35 is not supported directly. This version drops support for tokens generated by Deeploy < v1.30.0 in favor of a more future proof token format introduced in v1.30. When upgrading from < v1.30.0, please first upgrade to v1.34.1 and regenerate your tokens before upgrading to 1.35.0.

✨ New features

• Configurable compliance insights
  It is now possible to use custom compliance documentation templates, enabling better control over compliance requirements.

• Container logs
  It is now possible to directly view container logs in the UI. This provides a more convenient and user-friendly way to monitor and troubleshoot your deployments by observing logs in real-time. Available under the prediction tab in a deployment.

• Integrations
  HuggingFace repositories are now supported

• Explainers
  Integrated explainers: it is now possible to deploy models with integrated explainers (e.g. Captum for Pytorch).
  Visualisation of the output of integrated Captum explainers (text & image) is now possible in the UI.

  ✨ Improvements

• Improved date selection component usability

• Some default explainer images have been split into more modular packages, improving deployment time and memory usage

• Improved deployment logs for restoring a deployment

• Improved caching of frontend resources

• Added model card to responsible Deployment checks

🐛 Bug fixes

• Resetting custom model resources could end up in an error state
• Fixed a bug with label classes in evaluation data