Tags

v1.55.0

# Release notes

✨ New features
- **Wildcard endpoints with a base endpoint** <br>
Wildcard routing now enables dynamic URL path forwarding to external Deployments, providing flexible endpoint handling for models and APIs with multiple endpoints or variable path requirements

v1.54.2

# Release notes

- Added field OidcCustomScope for deployment creation and updates

v1.54.1

## Release Notes
### 🐛 Bug fixes

- Fixed pydantic issues with creating deployments.

v1.54.0

v1.53.0

v1.52.1

v1.52.0

v1.51.0

v1.50.0

v1.49.0

v1.48.0

v1.47.1

Fix output validation for get_prediction_logs() get_request_logs() and evaluate()

v1.47.0

Release notes

✨ New features

- Custom monitoring metrics
Visualize your own metrics in the new Custom tab in Deployment monitoring. Add up to four custom metrics; calculate the data points you want to visualize and upload them with the Deeploy package

v1.46.0

v1.45.1

v1.45.0

* Extract metadata from your training set to get the most out of your deployment monitoring
* Add support for temporary credentials

v1.44.0

# 1.44.0

## Release notes

### ✨ New features

- **Deployment approval**
Ensure your Deployment quality by requesting approval from your Workspace members before deploying it. The Deployment version will be pending until it has been approved, after which you can deploy it.

- **Select compliance templates per Deployment**
You can now add and remove specific compliance documentation and checklist templates on a Deployment level.
Tailor your compliance towards what is important for a specific Deployment.

- **Upgrade Deployments**
Upgrade your Deployment to unlock more of Deeploy's functionalities! Go to your registration or external Deployment details, click upgrade, and follow the upgrade flow to upgrade your Deployment use case.

- **Filter monitoring graphs**
Filter your monitoring graphs to refine your Deployment monitoring graphs even better. Go to your Deployment's monitoring page and click **Filters** to add the desired filters to your graphs.

### 🛠️ Improvements

- Okta has been added as an option for OIDC Authentication (Private Cloud only)
- Introduced a status and status code filter for the request logs
- Added an endpoint type filter to the prediction logs
- Improved handling of a failed Deployment in the UI
- Added a loader to the drift monitoring graphs

### 🐛 Bug fixes

- Fixed incorrect "custom id" name in a filter of predictions.
- Fixed an issue when switching between Deployments sometimes showed the old Deployment details
- Fixed the notification pagination
- Fixed slow loading of external Deployments in the Deployment overview

v1.43.0

v1.42.0

* Add support for custom headers for external deployments
* Improve model and explainer wrappers with verify and save functionality
* Batch explanations now possible
* Assign risk levels to your deployments

v1.41.0

Release notes

✨ Major new features

- Support for onboarding external Deployments
Connect your externally hosted model to Deeploy using an API endpoint. Experience the benefits of monitoring and alert services by using the Deeploy API to inference your model.

- Support for onboarding registration Deployments
Register any model. You can also create compliance documentation for your model, and optionally link a repository to use model cards, data cards, and metadata.