Storageblob under

.github/workflows/event-processor.yml

@@ -68,7 +68,7 @@ jobs:
         run: >
           dotnet tool install
           Azure.Sdk.Tools.GitHubEventProcessor
-          --version 1.0.0-dev.20250314.4
+          --version 1.0.0-dev.20260129.1
           --add-source https://pkgs.dev.azure.com/azure-sdk/public/_packaging/azure-sdk-for-net/nuget/v3/index.json
           --global
         shell: bash

.github/workflows/scheduled-event-processor.yml

@@ -39,7 +39,7 @@ jobs:
         run: >
           dotnet tool install
           Azure.Sdk.Tools.GitHubEventProcessor
-          --version 1.0.0-dev.20250425.1
+          --version 1.0.0-dev.20260129.1
           --add-source https://pkgs.dev.azure.com/azure-sdk/public/_packaging/azure-sdk-for-net/nuget/v3/index.json
           --global
         shell: bash

eng/emitter-package.json

@@ -1,7 +1,7 @@
 {
   "name": "dist/src/index.js",
   "dependencies": {
-    "@azure-tools/typespec-python": "0.59.0"
+    "@azure-tools/typespec-python": "0.59.2"
   },
   "devDependencies": {
     "@typespec/compiler": "^1.8.0",
@@ -14,11 +14,11 @@
     "@typespec/streams": "~0.78.0",
     "@typespec/xml": "~0.78.0",
     "@azure-tools/openai-typespec": "1.7.3",
-    "@azure-tools/typespec-autorest": "~0.64.0",
+    "@azure-tools/typespec-autorest": "~0.64.1",
     "@azure-tools/typespec-azure-core": "~0.64.0",
-    "@azure-tools/typespec-azure-resource-manager": "~0.64.0",
+    "@azure-tools/typespec-azure-resource-manager": "~0.64.1",
     "@azure-tools/typespec-azure-rulesets": "~0.64.0",
-    "@azure-tools/typespec-client-generator-core": "~0.64.4",
+    "@azure-tools/typespec-client-generator-core": "~0.64.5",
     "@azure-tools/typespec-liftr-base": "0.11.0"
   }
 }

sdk/ai/azure-ai-projects/samples/evaluations/sample_redteam_evaluations.py

@@ -19,12 +19,11 @@
     Set these environment variables with your own values:
     1) AZURE_AI_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
        Microsoft Foundry project. It has the form: https://<account_name>.services.ai.azure.com/api/projects/<project_name>.
-    2) DATA_FOLDER - Optional. The folder path where the data files for upload are located.
-    3) AZURE_AI_AGENT_NAME - Required. The name of the Agent to perform red teaming evaluation on.
+    2) AZURE_AI_AGENT_NAME - Required. The name of the Agent to perform red teaming evaluation on.
 """
 
 import os
-
+import tempfile
 from dotenv import load_dotenv
 from pprint import pprint
 from azure.ai.projects.models._models import PromptAgentDefinition
@@ -49,10 +48,6 @@ def main() -> None:
     endpoint = os.environ.get("AZURE_AI_PROJECT_ENDPOINT", "")
     agent_name = os.environ.get("AZURE_AI_AGENT_NAME", "")
 
-    # Construct the paths to the data folder and data file used in this sample
-    script_dir = os.path.dirname(os.path.abspath(__file__))
-    data_folder = os.environ.get("DATA_FOLDER", os.path.join(script_dir, "data_folder"))
-
     with (
         DefaultAzureCredential() as credential,
         AIProjectClient(endpoint=endpoint, credential=credential) as project_client,
@@ -99,9 +94,7 @@ def main() -> None:
         )
 
         taxonomy = project_client.evaluation_taxonomies.create(name=agent_name, body=eval_taxonomy_input)
-        taxonomy_path = os.path.join(data_folder, f"taxonomy_{agent_name}.json")
-        # Create the data folder if it doesn't exist
-        os.makedirs(data_folder, exist_ok=True)
+        taxonomy_path = os.path.join(tempfile.gettempdir(), f"taxonomy_{agent_name}.json")
         with open(taxonomy_path, "w") as f:
             f.write(json.dumps(_to_json_primitive(taxonomy), indent=2))
         print(f"Red teaming Taxonomy created for agent: {agent_name}. Taxonomy written to {taxonomy_path}")
@@ -134,9 +127,7 @@ def main() -> None:
             run = client.evals.runs.retrieve(run_id=eval_run_response.id, eval_id=eval_object.id)
             if run.status == "completed" or run.status == "failed":
                 output_items = list(client.evals.runs.output_items.list(run_id=run.id, eval_id=eval_object.id))
-                output_items_path = os.path.join(data_folder, f"redteam_eval_output_items_{agent_name}.json")
-                # Create the data folder if it doesn't exist
-                os.makedirs(data_folder, exist_ok=True)
+                output_items_path = os.path.join(tempfile.gettempdir(), f"redteam_eval_output_items_{agent_name}.json")
                 with open(output_items_path, "w") as f:
                     f.write(json.dumps(_to_json_primitive(output_items), indent=2))
                 print(

sdk/monitor/azure-monitor-opentelemetry/CHANGELOG.md

@@ -4,6 +4,9 @@
 
 ### Features Added
 
+- Enable live metrics by default
+  ([#44902](https://github.com/Azure/azure-sdk-for-python/pull/44902))
+
 ### Breaking Changes
 
 ### Bugs Fixed

sdk/monitor/azure-monitor-opentelemetry/README.md

@@ -60,7 +60,7 @@ You can use `configure_azure_monitor` to set up instrumentation for your app to
 | Parameter | Description | Environment Variable |
 |-------------------|----------------------------------------------------|----------------------|
 | `connection_string` | The [connection string][connection_string_doc] for your Application Insights resource. The connection string will be automatically populated from the `APPLICATIONINSIGHTS_CONNECTION_STRING` environment variable if not explicitly passed in. | `APPLICATIONINSIGHTS_CONNECTION_STRING` |
-| `enable_live_metrics` | Enable [live metrics][application_insights_live_metrics] feature. Defaults to `False`. | `N/A` |
+| `enable_live_metrics` | Enable [live metrics][application_insights_live_metrics] feature. Defaults to `True`. | `N/A` |
 | `enable_performance_counters` | Enable [performance counters][application_insights_performance_counters]. Defaults to `True`. | `N/A` |
 | `logging_formatter` | A Python logging [formatter][python_logging_formatter] that will be used to format collected logs. | `PYTHON_APPLICATIONINSIGHTS_LOGGING_FORMAT` - accepts a STRING field used for formatting, not a [formatter][python_logging_formatter] |
 | `logger_name` | The name of the [Python logger][python_logger] under which telemetry is collected. Setting this value is imperative so logs created from the SDK itself are not tracked. | `PYTHON_APPLICATIONINSIGHTS_LOGGER_NAME` |

sdk/monitor/azure-monitor-opentelemetry/azure/monitor/opentelemetry/_configure.py

@@ -112,7 +112,7 @@ def configure_azure_monitor(**kwargs) -> None:  # pylint: disable=C4758
     :keyword list[~opentelemetry.sdk.metrics.MetricReader] metric_readers: List of MetricReader objects to read and
      export metrics. Each reader can have its own exporter and collection interval.
     :keyword bool enable_live_metrics: Boolean value to determine whether to enable live metrics feature.
-     Defaults to `False`.
+     Defaults to `True`.
     :keyword bool enable_performance_counters: Boolean value to determine whether to enable performance counters.
      Defaults to `True`.
     :keyword str storage_directory: Storage directory in which to store retry files. Defaults to

sdk/monitor/azure-monitor-opentelemetry/azure/monitor/opentelemetry/_utils/configurations.py

@@ -314,7 +314,7 @@ def _default_metric_readers(configurations):
 
 
 def _default_enable_live_metrics(configurations):
-    configurations.setdefault(ENABLE_LIVE_METRICS_ARG, False)
+    configurations.setdefault(ENABLE_LIVE_METRICS_ARG, True)
 
 
 def _default_enable_performance_counters(configurations):

sdk/monitor/azure-monitor-opentelemetry/samples/metrics/live_metrics.py

@@ -5,16 +5,16 @@
 # --------------------------------------------------------------------------
 
 """
-This example shows how configure live metrics to be enabled. It sets up a minimal example of sending dependency,
+This example sets up a minimal example of sending dependency through live metrics,
 trace and exception telemetry to demonstrate the capabilities and collection set of live metrics.
+Live metrics is enabled by default, it can be disabled by setting `enable_live_metrics` to `False`
 """
 import logging
 import requests  # type: ignore[import-untyped]
 import time
 
 from azure.monitor.opentelemetry import configure_azure_monitor
 from opentelemetry import trace
-
 from opentelemetry.sdk.resources import Resource
 
 configure_azure_monitor(
@@ -25,7 +25,7 @@
         }
     ),
     logger_name=__name__,
-    enable_live_metrics=True,  # Enable live metrics configuration
+    # enable_live_metrics=False,  # To disable live metrics configuration
 )
 
 tracer = trace.get_tracer(__name__)

sdk/monitor/azure-monitor-opentelemetry/tests/test_configure.py

@@ -68,7 +68,7 @@ def test_configure_azure_monitor(
         tracing_mock.assert_called_once()
         logging_mock.assert_called_once()
         metrics_mock.assert_called_once()
-        live_metrics_mock.assert_not_called()
+        live_metrics_mock.assert_called_once()
         instrumentation_mock.assert_called_once()
         detect_attach_mock.assert_called_once()
 
@@ -109,7 +109,7 @@ def test_configure_azure_monitor_disable_tracing(
                 "django": {"enabled": False},
                 "requests": {"enabled": False},
             },
-            "enable_live_metrics": False,
+            "enable_live_metrics": True,
             "enable_performance_counters": True,
             "resource": TEST_RESOURCE,
         }
@@ -123,7 +123,7 @@ def test_configure_azure_monitor_disable_tracing(
         tracing_mock.assert_not_called()
         logging_mock.assert_called_once_with(configurations)
         metrics_mock.assert_called_once_with(configurations)
-        live_metrics_mock.assert_not_called()
+        live_metrics_mock.assert_called_once_with(configurations)
         instrumentation_mock.assert_called_once_with(configurations)
         # Assert setup_metrics is called before setup_logging
         self.assertLess(call_order.index("metrics"), call_order.index("logging"))
@@ -160,7 +160,7 @@ def test_configure_azure_monitor_disable_logging(
             "disable_tracing": False,
             "disable_logging": True,
             "disable_metrics": False,
-            "enable_live_metrics": False,
+            "enable_live_metrics": True,
             "enable_performance_counters": True,
             "resource": TEST_RESOURCE,
         }
@@ -174,7 +174,7 @@ def test_configure_azure_monitor_disable_logging(
         tracing_mock.assert_called_once_with(configurations)
         logging_mock.assert_not_called()
         metrics_mock.assert_called_once_with(configurations)
-        live_metrics_mock.assert_not_called()
+        live_metrics_mock.assert_called_once_with(configurations)
         instrumentation_mock.assert_called_once_with(configurations)
         # Assert setup_metrics is called before setup_tracing
         self.assertLess(call_order.index("metrics"), call_order.index("tracing"))
@@ -211,7 +211,7 @@ def test_configure_azure_monitor_disable_metrics(
             "disable_tracing": False,
             "disable_logging": False,
             "disable_metrics": True,
-            "enable_live_metrics": False,
+            "enable_live_metrics": True,
             "enable_performance_counters": True,
             "resource": TEST_RESOURCE,
         }
@@ -220,7 +220,7 @@ def test_configure_azure_monitor_disable_metrics(
         tracing_mock.assert_called_once_with(configurations)
         logging_mock.assert_called_once_with(configurations)
         metrics_mock.assert_not_called()
-        live_metrics_mock.assert_not_called()
+        live_metrics_mock.assert_called_once_with(configurations)
         instrumentation_mock.assert_called_once_with(configurations)
 
     @patch(

sdk/monitor/azure-monitor-opentelemetry/tests/utils/test_configurations.py

@@ -81,7 +81,7 @@ def test_get_configurations(self, resource_create_mock):
                     "enabled": False,
                 }
             },
-            enable_live_metrics=True,
+            enable_live_metrics=False,
             enable_performance_counters=False,
             views=["test_view"],
             logger_name="test_logger",
@@ -117,7 +117,7 @@ def test_get_configurations(self, resource_create_mock):
             },
         )
         self.assertEqual(configurations["storage_directory"], "test_directory")
-        self.assertEqual(configurations["enable_live_metrics"], True)
+        self.assertEqual(configurations["enable_live_metrics"], False)
         self.assertEqual(configurations["enable_performance_counters"], False)
         self.assertEqual(configurations["views"], ["test_view"])
         self.assertEqual(configurations["logger_name"], "test_logger")
@@ -154,7 +154,7 @@ def test_get_configurations_defaults(self, resource_create_mock):
         self.assertEqual(configurations["sampling_ratio"], 1.0)
         self.assertTrue("credential" not in configurations)
         self.assertTrue("storage_directory" not in configurations)
-        self.assertEqual(configurations["enable_live_metrics"], False)
+        self.assertEqual(configurations["enable_live_metrics"], True)
         self.assertEqual(configurations["enable_performance_counters"], True)
         self.assertEqual(configurations["logger_name"], "")
         self.assertEqual(configurations["span_processors"], [])

sdk/storage/azure-storage-blob/azure/storage/blob/__init__.py

@@ -26,7 +26,7 @@
     UserDelegationKey,
     Services
 )
-from ._generated.models import RehydratePriority
+from ._generated.azure.storage.blobs.models import RehydratePriority
 from ._models import (
     BlobType,
     BlockState,