bump version

Author: tamirse

CHANGELOG.md

@@ -7,6 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.22.0] - 2026-03-20
+
 ### Added
 
 - Job deployments (Batch jobs) service
@@ -25,30 +27,30 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Added
 
 - Add `on_spot_discontinue` parameter for instance OS volumes. Previously the policy was always `'keep_detached'`, now it can be set to `'move_to_trash'` or `'delete_permanently'`:
-    ```python
-    instance = verda_client.instances.create(
-        hostname='test-instance',
-        location=Locations.FIN_03,
-        instance_type='CPU.4V.16G',
-        description='test cpu instance',
-        image='ubuntu-22.04',
-        is_spot=True,
-        ssh_key_ids=[ssh_key.id],
-        os_volume=OSVolume(
-            name='test-os-volume-spot',
-            size=56,
-            on_spot_discontinue='delete_permanently',
-        ),
-    )
-    ```
+  ```python
+  instance = verda_client.instances.create(
+      hostname='test-instance',
+      location=Locations.FIN_03,
+      instance_type='CPU.4V.16G',
+      description='test cpu instance',
+      image='ubuntu-22.04',
+      is_spot=True,
+      ssh_key_ids=[ssh_key.id],
+      os_volume=OSVolume(
+          name='test-os-volume-spot',
+          size=56,
+          on_spot_discontinue='delete_permanently',
+      ),
+  )
+  ```
 - Add `delete_permanently` parameter for instance delete action. When set, `volume_ids` will be deleted in one go, skipping trash:
-    ```python
-    verda.instances.action(
-        instance.id, 'delete',
-        volume_ids=[instance.os_volume_id],
-        delete_permanently=True,
-    )
-    ```
+  ```python
+  verda.instances.action(
+      instance.id, 'delete',
+      volume_ids=[instance.os_volume_id],
+      delete_permanently=True,
+  )
+  ```
 
 ## [1.18.0] - 2025-12-31
 
@@ -169,16 +171,17 @@ verda.instances.create(...)
 - Upgraded pytest
 
 If you are working on the library itself, do a fresh clone or upgrade your local development environment in-place:
-  ```bash
-  # remove old environment
-  rm -rf datacrunch.egg-info/ .venv/ datacrunch_env/
 
-  # create new environment and install dependencies
-  uv sync
+```bash
+# remove old environment
+rm -rf datacrunch.egg-info/ .venv/ datacrunch_env/
 
-  # run example
-  uv run python examples/simple_create_instance.py
-  ```
+# create new environment and install dependencies
+uv sync
+
+# run example
+uv run python examples/simple_create_instance.py
+```
 
 ### Added
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "verda"
-version = "1.21.0"
+version = "1.22.0"
 description = "Official Python SDK for Verda (formerly DataCrunch) Public API"
 readme = "README.md"
 requires-python = ">=3.10"