Updates for CLI release + Fix DeploymentTemplateScenario/ModelScenario tests

src/machinelearningservices/CHANGELOG.rst

@@ -1,4 +1,4 @@
-## Unreleased
+## 2026-05-06
 
 ### Azure Machine Learning CLI (v2) v 2.43.0
 

src/machinelearningservices/azext_mlv2/manual/requirements.txt

@@ -2,4 +2,4 @@ cryptography
 docker
 azure-mgmt-resourcegraph<9.0.0,>=2.0.0
 azure-identity==1.17.1
-azure-ai-ml==1.32.0
+azure-ai-ml==1.33.0

src/machinelearningservices/azext_mlv2/tests/scenario_test_helper.py

@@ -25,6 +25,7 @@
     HostNormalizer,
     MD5HeaderRemover,
     MiscResponseReplacer,
+    RegistryDiscoveryQueryStripper,
     RegistryDiscoveryReplacer,
     ResourcePathsReplacer,
     SkipTokenReplacer,
@@ -64,6 +65,7 @@ def __init__(self, method_name: Any) -> None:
                 APIVersionReplacer(),
                 SkipTokenReplacer(),
                 AzureBlobJobLogReplacer(),
+                RegistryDiscoveryQueryStripper(),
                 HostNormalizer(),
                 HashResponseBodyReplacer(),
                 HashQueryParamReplacer(),

src/machinelearningservices/azext_mlv2/tests/test_configs/deployment_template/deployment_template_basic.yaml

@@ -37,6 +37,8 @@ environment_variables:
  MODEL_BASE_PATH: /var/azureml-app/azureml-models/tfs-model1/1 
  MODEL_NAME: half_plus_two 
  ENABLE_INFERENCESERVER_DIAGNOSTICSLOG_AML_VISIBILITY: True 
-allowed_instance_types: Standard_DS3_v2 Standard_DS4_v2 
+allowed_instance_types:
+ - Standard_DS3_v2
+ - Standard_DS4_v2 
 default_instance_type: Standard_DS3_v2 
 instance_count: 3 

src/machinelearningservices/azext_mlv2/tests/util.py

@@ -295,6 +295,12 @@ def process_request(self, request):
         u = urlparse(request.uri)
         self.__should_process_next_response = bool(self.REGISTRY_DISCOVERY_ENDPOINT_RE.match(u.path))
 
+        if self.__should_process_next_response and u.query:
+            # Strip query parameters from discovery requests to ensure consistent matching
+            # across SDK versions (some add ?api-version=v1.0, others don't)
+            u = u._replace(query="")
+            request.uri = u.geturl()
+
         return request
 
     def process_response(self, response):
@@ -313,6 +319,28 @@ def process_response(self, response):
         return response
 
 
+class RegistryDiscoveryQueryStripper(RecordingProcessor):
+    """Strips query parameters from registry discovery URLs during replay matching.
+
+    SDK versions may add query parameters (e.g. ?api-version=v1.0) to discovery
+    requests that weren't present when the cassette was recorded. This processor
+    strips them so VCR's query matcher can find the recorded response.
+
+    Unlike RegistryDiscoveryReplacer, this class does NOT override process_response,
+    so it is safe to use in replay_processors without causing bytes/str issues
+    during cassette load.
+    """
+
+    REGISTRY_DISCOVERY_ENDPOINT_RE = re.compile("^/registrymanagement/v1.0/registries/[^/]+/discovery$")
+
+    def process_request(self, request):
+        u = urlparse(request.uri)
+        if self.REGISTRY_DISCOVERY_ENDPOINT_RE.match(u.path) and u.query:
+            u = u._replace(query="")
+            request.uri = u.geturl()
+        return request
+
+
 class HostNormalizer(RecordingProcessor):
     def process_request(self, request):
         try:

src/machinelearningservices/setup.py

@@ -10,7 +10,7 @@
 from setuptools import setup, find_packages
 
 # HISTORY.rst entry.
-VERSION = '2.42.0'
+VERSION = '2.43.0'
 
 # The full list of classifiers is available at
 # https://pypi.python.org/pypi?%3Aaction=list_classifiers