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Version: 1.49

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