Prepare release 0.91.0 (#4091)

github-actions[bot] · Zen-ML · schustmi · web-flow · commit fa9283b3cc1e · 2025-10-24T22:13:43.000+08:00
* Adding the new version to the necessary files.

* Trigger CI

* Release notes

* Fix alembic order

* Update CSP connect src

* Use local deployer in weather agent example

---------

Co-authored-by: ZenML GmbH &lt;info@zenml.io&gt;
Co-authored-by: Michael Schuster &lt;michael.schuster.ffb@googlemail.com&gt;
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
@@ -1,5 +1,81 @@
 <!-- markdown-link-check-disable -->
 
+# 0.91.0
+
+This release brings major deployment enhancements (Local Deployer, fully customizable deployment server, and deployment visualizations), powerful caching controls (file/object-based cache invalidation, cache expiration, and custom cache functions), Python 3.13 support, an MLX array materializer, and a new option to customize image tags during builds. It also deprecates legacy model deployers and drops Python 3.9 support.
+
+## ⚠️ Breaking Changes
+
+- Drop Python 3.9 support
+
+## Deprecations
+
+- Model deployers are deprecated; use deployers to deploy entire pipelines instead
+
+## New Features
+
+### Deployment
+- Local Deployer for deploying pipelines locally
+- Deployment server is fully customizable via settings
+- Attach custom visualizations to deployments
+
+### Caching
+- Specify files or Python objects that invalidate a step's cache
+- Cache expiration to bound cache lifetime
+- Custom cache function for advanced invalidation logic
+
+### Other
+- MLX array materializer
+- Python 3.13 support
+- Customize the image tag of built Docker images
+
+## Bug Fixes
+
+- Fix incompatibility of print capturing when using `numba`
+- Fix the mount point configuration in the Hashicorp Vault secrets store
+
+## What's Changed
+* Add version 0.85.0 to legacy docs by @github-actions[bot] in https://github.com/zenml-io/zenml/pull/4029
+* Add 0.90.0 to the migration tests by @github-actions[bot] in https://github.com/zenml-io/zenml/pull/4031
+* Document pipeline deployments and deployers by @stefannica in https://github.com/zenml-io/zenml/pull/4017
+* Snapshot docs by @schustmi in https://github.com/zenml-io/zenml/pull/4023
+* Update examples for deployed pipelines by @safoinme in https://github.com/zenml-io/zenml/pull/3960
+* Quote helm chart description by @schustmi in https://github.com/zenml-io/zenml/pull/4032
+* Add MLX array materializer by @nicholasjng in https://github.com/zenml-io/zenml/pull/4027
+* Better CLI error messages by @schustmi in https://github.com/zenml-io/zenml/pull/4035
+* Prevent MLX integration install on Intel Macs by @strickvl in https://github.com/zenml-io/zenml/pull/4039
+* Fixes for timestamps in logs by @bcdurak in https://github.com/zenml-io/zenml/pull/4052
+* Fix breaking `mypy` checks by @Json-Andriopoulos in https://github.com/zenml-io/zenml/pull/4051
+* Extend list pipeline filters by @Json-Andriopoulos in https://github.com/zenml-io/zenml/pull/3990
+* Add image tag docker setting by @Json-Andriopoulos in https://github.com/zenml-io/zenml/pull/4025
+* Small docs improvements by @schustmi in https://github.com/zenml-io/zenml/pull/4041
+* Fix secret tags and logs for the AWS deployer by @stefannica in https://github.com/zenml-io/zenml/pull/4056
+* Fix snapshot exclusive tagging by @schustmi in https://github.com/zenml-io/zenml/pull/4034
+* Removing 3.9 & Adding 3.13 by @bcdurak in https://github.com/zenml-io/zenml/pull/4053
+* Fix for inconsistencies between numba and the wrapped print by @bcdurak in https://github.com/zenml-io/zenml/pull/4060
+* Fix the user avatar URL field length by @stefannica in https://github.com/zenml-io/zenml/pull/4065
+* Additional sorting options for snapshots and deployments by @schustmi in https://github.com/zenml-io/zenml/pull/4033
+* Document how to use Pro API keys to access the Pro workspace API by @stefannica in https://github.com/zenml-io/zenml/pull/4066
+* Upgrading mypy by @bcdurak in https://github.com/zenml-io/zenml/pull/4062
+* Update link for Your First AI Pipeline in README.md by @htahir1 in https://github.com/zenml-io/zenml/pull/4069
+* Add snapshot delete command to CLI by @strickvl in https://github.com/zenml-io/zenml/pull/4059
+* Deprecate model deployer in docs by @htahir1 in https://github.com/zenml-io/zenml/pull/4076
+* Additional caching configurations by @schustmi in https://github.com/zenml-io/zenml/pull/4040
+* Log metadata changes by @Json-Andriopoulos in https://github.com/zenml-io/zenml/pull/4049
+* Customizable Deployment server settings by @stefannica in https://github.com/zenml-io/zenml/pull/4064
+* Add GitBook MCP server documentation by @strickvl in https://github.com/zenml-io/zenml/pull/4080
+* Make sure image and user parameters are propagated by @zavidnyi in https://github.com/zenml-io/zenml/pull/4081
+* Fix image building bug introduced by deployment requirements by @stefannica in https://github.com/zenml-io/zenml/pull/4082
+* Local Deployer implementation by @stefannica in https://github.com/zenml-io/zenml/pull/4085
+* Fix the mount point configuration in the Hashicorp Vault secrets store and add it to helm chart by @stefannica in https://github.com/zenml-io/zenml/pull/4088
+* Deployment custom visualizations by @safoinme in https://github.com/zenml-io/zenml/pull/4016
+
+## New Contributors
+* @zavidnyi made their first contribution in https://github.com/zenml-io/zenml/pull/4081
+
+**Full Changelog**: https://github.com/zenml-io/zenml/compare/0.90.0...0.91.0
+
+
 # 0.90.0
 
 This release introduces pipeline snapshots and pipeline deployments, refactors the base package dependencies, and adds runtime environment variable support.
diff --git a/examples/quickstart/configs/training_aws.yaml b/examples/quickstart/configs/training_aws.yaml
@@ -1,6 +1,6 @@
 settings:
   docker:
-    parent_image: "zenmldocker/prepare-release:quickstart-aws-0.90.0"
+    parent_image: "zenmldocker/prepare-release:quickstart-aws-0.91.0"
     skip_build: true
     requirements: requirements_aws.txt
 
diff --git a/examples/quickstart/configs/training_azure.yaml b/examples/quickstart/configs/training_azure.yaml
@@ -1,5 +1,5 @@
 settings:
   docker:
-    parent_image: "zenmldocker/prepare-release:quickstart-azure-0.90.0"
+    parent_image: "zenmldocker/prepare-release:quickstart-azure-0.91.0"
     skip_build: true
     requirements: requirements_azure.txt
diff --git a/examples/quickstart/configs/training_gcp.yaml b/examples/quickstart/configs/training_gcp.yaml
@@ -1,5 +1,5 @@
 settings:
   docker:
-    parent_image: "zenmldocker/prepare-release:quickstart-gcp-0.90.0"
+    parent_image: "zenmldocker/prepare-release:quickstart-gcp-0.91.0"
     skip_build: true
     requirements: requirements_gcp.txt
diff --git a/examples/quickstart/requirements.txt b/examples/quickstart/requirements.txt
@@ -1,4 +1,4 @@
-zenml[server]>=0.90.0
+zenml[server]>=0.91.0
 scikit-learn
 openai>=1.0.0
 matplotlib
diff --git a/examples/quickstart/requirements_aws.txt b/examples/quickstart/requirements_aws.txt
@@ -1,6 +1,6 @@
 # Auto-generated by scripts/generate_cloud_requirements.sh - DO NOT EDIT
 # Cloud integration: aws
-zenml[server]>=0.90.0
+zenml[server]==0.91.0
 scikit-learn
 openai>=1.0.0
 matplotlib
diff --git a/examples/quickstart/requirements_azure.txt b/examples/quickstart/requirements_azure.txt
@@ -1,6 +1,6 @@
 # Auto-generated by scripts/generate_cloud_requirements.sh - DO NOT EDIT
 # Cloud integration: azure
-zenml[server]>=0.90.0
+zenml[server]==0.91.0
 scikit-learn
 openai>=1.0.0
 matplotlib
diff --git a/examples/quickstart/requirements_gcp.txt b/examples/quickstart/requirements_gcp.txt
@@ -1,6 +1,6 @@
 # Auto-generated by scripts/generate_cloud_requirements.sh - DO NOT EDIT
 # Cloud integration: gcp
-zenml[server]>=0.90.0
+zenml[server]==0.91.0
 scikit-learn
 openai>=1.0.0
 matplotlib
diff --git a/examples/weather_agent/README.md b/examples/weather_agent/README.md
@@ -137,11 +137,11 @@ The pipeline is optimized for deployment:
 - **Scalable**: Supports multiple workers and high concurrency
 - **Cloud ready**: Configured for GCP and AWS deployment
 
-To deploy the pipeline for real-time execution, you need a **Deployer** stack component in your stack. You can use the Docker deployer to deploy the pipeline with minimal setup:
+To deploy the pipeline for real-time execution, you need a **Deployer** stack component in your stack. Luckily, the `default` stack
+comes with a built-in local deployer:
 
 ```bash
-zenml deployer register docker --flavor=docker
-zenml stack register local_with_docker -a default -o default -D docker --set
+zenml stack set default
 ```
 
 Then you can deploy the pipeline with:
@@ -150,7 +150,7 @@ Then you can deploy the pipeline with:
 zenml pipeline deploy pipelines.weather_agent
 ```
 
-The pipeline will be deployed as a Docker container running locally and exposing an HTTP endpoint at e.g. `http://localhost:8000`.
+The pipeline will be deployed in a background process and expose an HTTP endpoint at e.g. `http://localhost:8000`.
 
 You can then send HTTP requests to the endpoint to trigger pipeline runs using either `zenml pipeline invoke` or `curl`:
 
diff --git a/helm/Chart.yaml b/helm/Chart.yaml
@@ -1,6 +1,6 @@
 apiVersion: v2
 name: zenml
-version: "0.90.0"
+version: "0.91.0"
 description: "ZenML: MLOps for Reliable AI: from Classical AI to Agents."
 keywords:
 - mlops
diff --git a/helm/README.md b/helm/README.md
@@ -20,8 +20,8 @@ ZenML is an open-source MLOps framework designed to help you create robust, main
 To install the ZenML chart directly from Amazon ECR, use the following command:
 
 ```bash
-# example command for version 0.90.0
-helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.90.0
+# example command for version 0.91.0
+helm install my-zenml oci://public.ecr.aws/zenml/zenml --version 0.91.0
 ```
 
 Note: Ensure you have OCI support enabled in your Helm client and that you are authenticated with Amazon ECR.
diff --git a/pyproject.toml b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "uv_build"
 
 [project]
 name = "zenml"
-version = "0.90.0"
+version = "0.91.0"
 description = "ZenML: MLOps for Reliable AI: from Classical AI to Agents."
 authors = [{name = "ZenML GmbH", email = "info@zenml.io"}]
 readme = "README.md"
diff --git a/src/zenml/VERSION b/src/zenml/VERSION
@@ -1 +1 @@
-0.90.0
+0.91.0
diff --git a/src/zenml/constants.py b/src/zenml/constants.py
@@ -322,9 +322,9 @@ def handle_int_env_var(var: str, default: int = 0) -> int:
 DEFAULT_ZENML_SERVER_SECURE_HEADERS_CONTENT = "nosniff"
 _csp_script_src_urls = ["https://widgets-v3.featureos.app"]
 _csp_connect_src_urls = [
-    "https://sdkdocs.zenml.io",
-    "https://analytics.zenml.io",
-    "https://raw.githubusercontent.com",
+    # We need a wildcard here to allow the dashboard deployment playground
+    # to send requests to deployments on any URL.
+    "*",
 ]
 _csp_img_src_urls = [
     "*"
diff --git a/src/zenml/zen_stores/migrations/versions/0.91.0_release.py b/src/zenml/zen_stores/migrations/versions/0.91.0_release.py
@@ -0,0 +1,23 @@
+"""Release [0.91.0].
+
+Revision ID: 0.91.0
+Revises: 24552f3be1f2
+Create Date: 2025-10-24 09:00:18.541933
+
+"""
+
+# revision identifiers, used by Alembic.
+revision = "0.91.0"
+down_revision = "24552f3be1f2"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    """Upgrade database schema and/or data, creating a new revision."""
+    pass
+
+
+def downgrade() -> None:
+    """Downgrade database schema and/or data back to the previous revision."""
+    pass
diff --git a/src/zenml/zen_stores/migrations/versions/24552f3be1f2_add_visualisations.py b/src/zenml/zen_stores/migrations/versions/24552f3be1f2_add_visualisations.py
@@ -1,7 +1,7 @@
 """add visualisations [24552f3be1f2].
 
 Revision ID: 24552f3be1f2
-Revises: 124b57b8c7b1
+Revises: 279d55228d28
 Create Date: 2025-10-24 07:56:57.575675
 
 """
@@ -12,7 +12,7 @@
 
 # revision identifiers, used by Alembic.
 revision = "24552f3be1f2"
-down_revision = "124b57b8c7b1"
+down_revision = "279d55228d28"
 branch_labels = None
 depends_on = None
 

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`-zenml[server]>=0.90.0`
	`1`	`+zenml[server]>=0.91.0`
`2`	`2`	`scikit-learn`
`3`	`3`	`openai>=1.0.0`
`4`	`4`	`matplotlib`