Merge branch 'develop' into fix/model_get_artifact_latest_version

.github/workflows/docs_summarization_submit.yml

@@ -42,7 +42,7 @@ jobs:
           mv repomix-output.txt getting-started.txt
 
           # Merge user guide and getting started into basics
-          cat user-guide.txt getting-started.txt > repomix-outputs/basics.txt
+          cat user-guide.txt getting-started.txt > repomix-outputs/llms.txt
           rm user-guide.txt getting-started.txt
       - name: Upload repomix outputs
         uses: actions/upload-artifact@v4

.github/workflows/release_prepare.yml

@@ -81,7 +81,7 @@ jobs:
       # Update the README, pyproject.toml, version and helm files
       - name: Update main files
         run: |
-          sed -i "s/${{ needs.fetch-versions.outputs.old_version }}/${{ needs.fetch-versions.outputs.new_version }}/g" README.md pyproject.toml helm/Chart.yaml helm/README.md
+          sed -i "s/${{ needs.fetch-versions.outputs.old_version }}/${{ needs.fetch-versions.outputs.new_version }}/g" README.md pyproject.toml src/zenml/VERSION helm/Chart.yaml helm/README.md
           git add README.md pyproject.toml src/zenml/VERSION helm/Chart.yaml helm/README.md
       # Update the Quickstart references
       - name: Replace the references in the quickstart example

README.md

@@ -333,7 +333,7 @@ the Apache License Version 2.0.
     <a href="https://github.com/zenml-io/zenml-projects">Projects Showcase</a>
     <br />
     <br />
-    🎉 Version 0.73.0 is out. Check out the release notes
+    🎉 Version 0.74.0 is out. Check out the release notes
     <a href="https://github.com/zenml-io/zenml/releases">here</a>.
     <br />
     🖥️ Download our VS Code Extension <a href="https://marketplace.visualstudio.com/items?itemName=ZenML.zenml-vscode">here</a>.

RELEASE_NOTES.md

@@ -1,5 +1,100 @@
 <!-- markdown-link-check-disable -->
 
+# 0.74.0
+
+The `0.74.0` release introduces several major features including [SageMaker 
+pipeline scheduling capabilities](https://docs.zenml.io/stack-components/orchestrators/sagemaker#scheduling-pipelines), 
+[Azure Container Registry (ACR) implicit authentication support](https://docs.zenml.io/stack-components/container-registries/azure#authentication-methods), 
+and [Vertex AI persistent resource handling for step operators](https://docs.zenml.io/stack-components/step-operators/vertex#using-persistent-resources-for-faster-development). 
+Additionally, this release includes comprehensive improvements 
+to timezone handling and significant enhancements to database performance.
+
+## Features
+
+- API Tokens support in the dashboard for time-boxed API authentication
+- [SageMaker pipeline scheduling capabilities](https://docs.zenml.io/stack-components/orchestrators/sagemaker#scheduling-pipelines)
+- [Azure Container Registry (ACR) and Storage Account implicit authentication](https://docs.zenml.io/stack-components/container-registries/azure#authentication-methods)
+- [Vertex AI persistent resource support](https://docs.zenml.io/stack-components/step-operators/vertex#using-persistent-resources-for-faster-development) for step operators
+- Support for [custom log formats](https://docs.zenml.io/how-to/control-logging/set-logging-format)
+- Run metadata and tag indices for improved performance
+- [Core concepts video added to documentation](https://docs.zenml.io/getting-started/core-concepts)
+
+## Improvements
+
+- Comprehensive timezone consistency improvements across the platform
+- Enhanced database query performance for pipelines, run templates, models, 
+and artifacts
+- Better handling of configured parameters during pipeline preparation
+- Support for passing run configurations as dictionaries when triggering 
+pipelines
+- Enhanced sorting capabilities for columns with empty values in the dashboard
+- Improved queries for pipelines, run templates, models, and artifacts
+- Better filtering functionality for run metadata
+- More efficient artifact filtering
+- Various Helm chart improvements and reorganization
+- Updated materializer support for newer PyTorch versions
+- Improved code repository management and downloading
+- Better handling of `SecretStr` values in store configurations
+
+## Fixes
+
+- Kubernetes service connector issues resolved
+- Fixed sorting for columns with potentially empty values
+- Corrected timestamp utilization for better timezone consistency
+- Resolved issues with vLLM pipeline config file usage
+- Fixed code download functionality for custom flavor components
+- Addressed various documentation and broken links
+- Corrected MySQL database connection warnings
+- Fixed issues with Vertex AI experiment tracker documentation
+
+## What's Changed
+
+* Fix some docs by @htahir1 in https://github.com/zenml-io/zenml/pull/3302
+* Replace deprecated `datetime.utcnow()` with `datetime.now(timezone.utc)`  by @aiakide in https://github.com/zenml-io/zenml/pull/3265
+* Adding the missing VertexAI experiment tracker docs by @bcdurak in https://github.com/zenml-io/zenml/pull/3308
+* Create Sagemaker pipeline schedules if specified by @htahir1 in https://github.com/zenml-io/zenml/pull/3271
+* Formatting by @schustmi in https://github.com/zenml-io/zenml/pull/3307
+* Remove trailing slashes from zenml login URLs by @stefannica in https://github.com/zenml-io/zenml/pull/3312
+* Fix Kubernetes service connector by @stefannica in https://github.com/zenml-io/zenml/pull/3313
+* Add notes on missing features for on-prem ZenML Pro deployments by @stefannica in https://github.com/zenml-io/zenml/pull/3301
+* Fix wrong warning log when directly connecting to MySQL DB by @schustmi in https://github.com/zenml-io/zenml/pull/3311
+* Fix typo by @schustmi in https://github.com/zenml-io/zenml/pull/3316
+* Minor fix for Sagemaker by @bcdurak in https://github.com/zenml-io/zenml/pull/3318
+* Rework timestamp utilization for timezone consistency by @stefannica in https://github.com/zenml-io/zenml/pull/3314
+* Add broken links checker by @htahir1 in https://github.com/zenml-io/zenml/pull/3305
+* Schedule timezone fixes by @schustmi in https://github.com/zenml-io/zenml/pull/3315
+* Misc code repository improvements by @schustmi in https://github.com/zenml-io/zenml/pull/3306
+* Add core concepts video by @htahir1 in https://github.com/zenml-io/zenml/pull/3324
+* Fix code download for custom flavor components by @schustmi in https://github.com/zenml-io/zenml/pull/3323
+* Allow passing run configuration as dict when triggering pipelines by @schustmi in https://github.com/zenml-io/zenml/pull/3326
+* Fix sorting by columns with potentially empty values by @schustmi in https://github.com/zenml-io/zenml/pull/3325
+* Allow custom log formats by @schustmi in https://github.com/zenml-io/zenml/pull/3288
+* Add vertex persistent resource to settings for step operator by @htahir1 in https://github.com/zenml-io/zenml/pull/3304
+* Fix use of config file in vLLM pipelines by @wjayesh in https://github.com/zenml-io/zenml/pull/3322
+* Fixing the CI with the new `huggingface-hub` version by @bcdurak in https://github.com/zenml-io/zenml/pull/3329
+* Handling string values as SecretStrs in store configurations by @bcdurak in https://github.com/zenml-io/zenml/pull/3319
+* More code repository improvements by @schustmi in https://github.com/zenml-io/zenml/pull/3327
+* Fix materializer for new pytorch version by @schustmi in https://github.com/zenml-io/zenml/pull/3331
+* Add some nicer docs by @htahir1 in https://github.com/zenml-io/zenml/pull/3328
+* Add run metadata and tag indices by @schustmi in https://github.com/zenml-io/zenml/pull/3310
+* Fix markdown link checker for external PRs by @schustmi in https://github.com/zenml-io/zenml/pull/3333
+* feat: implement implicit authentication for ACR and Storage Account by @lukas-reining in https://github.com/zenml-io/zenml/pull/3274
+* Add support for symlinks in GH download by @schustmi in https://github.com/zenml-io/zenml/pull/3332
+* ZenML Helm chart improvements by @stefannica in https://github.com/zenml-io/zenml/pull/3320
+* Move helm chart out of the source tree by @stefannica in https://github.com/zenml-io/zenml/pull/3338
+* Add option to skip stack validation by @schustmi in https://github.com/zenml-io/zenml/pull/3337
+* Improve queries for pipelines, run templates, models and artifacts by @schustmi in https://github.com/zenml-io/zenml/pull/3335
+* Improve configured parameter detection when preparing pipeline by @schustmi in https://github.com/zenml-io/zenml/pull/3339
+* Minor fix for the Artifact filter model by @bcdurak in https://github.com/zenml-io/zenml/pull/3334
+* Allow (un)installing integrations with system-wide uv installations by @schustmi in https://github.com/zenml-io/zenml/pull/3342
+* Fix filtering by run metadata by @schustmi in https://github.com/zenml-io/zenml/pull/3344
+
+## New Contributors
+
+* @lukas-reining made their first contribution in https://github.com/zenml-io/zenml/pull/3274
+
+**Full Changelog**: https://github.com/zenml-io/zenml/compare/0.73.0...0.74.0
+
 # 0.73.0
 
 The `0.73.0` release contains various changes and improvements, but most 

docs/book/getting-started/zenml-pro/pro-api.md

@@ -27,7 +27,56 @@ you can use the same browser window to authenticate requests to your ZenML Pro A
 For example, for the SaaS variant, you can access the docs here: [https://cloudapi.zenml.io](https://cloudapi.zenml.io). You can make requests
 by being logged into ZenML Pro at [https://cloud.zenml.io](https://cloud.zenml.io).
 
-Programmatic access is not possible at the moment.
+### Programmatic access with API tokens
+
+API tokens provide a way to authenticate with the ZenML Pro API for temporary automation tasks. These tokens are scoped to your user account and are valid for 1 hour by default. You can use the generated API tokens for programmatic access to the ZenML Pro REST API.
+
+To generate a new API token for the ZenML Pro API:
+
+1. Navigate to the organization settings page in your ZenML Pro dashboard
+2. Select "API Tokens" from the left sidebar
+
+    ![API Tokens](../../.gitbook/assets/zenml-pro-api-token-01.png)
+
+3. Click the "Create new token" button. Once generated, you'll see a dialog showing your new API token. 
+
+    ![API Tokens](../../.gitbook/assets/zenml-pro-api-token-02.png)
+
+4. Simply use the API token as the bearer token in your HTTP requests. For example, you can use the following command to check your current user:
+    * using curl:
+      ```bash
+      curl -H "Authorization: Bearer YOUR_API_TOKEN" https://cloudapi.zenml.io/users/me
+      ```
+    * using wget:
+      ```bash
+      wget -qO- --header="Authorization: Bearer YOUR_API_TOKEN" https://cloudapi.zenml.io/users/me
+      ```
+    * using python:
+      ```python
+      import requests
+
+      response = requests.get(
+        "https://cloudapi.zenml.io/users/me",
+        headers={"Authorization": f"Bearer YOUR_API_TOKEN"}
+      )
+      print(response.json())
+      ```
+
+{% hint style="info" %}
+**Important Notes**
+
+- API tokens expire after 1 hour and cannot be retrieved after initial generation
+- Tokens are scoped to your user account and inherit your permissions
+{% endhint %}
+
+### Tenant programmatic access
+
+Programmatic access to the ZenML Pro tenant API is achieved essentially the same way as the ZenML OSS server API. You can use one of these two methods:
+
+* [Generate and use temporary API tokens](../../reference/api-reference.md#using-a-short-lived-api-token)
+* [Create a service account and use its API key](../../reference/api-reference.md#using-a-service-account-and-an-api-key)
+
+Please consult the indicated sections for more information.
 
 ## Key API Endpoints