Add-New-Prop-Eval-Run (Azure#38802)

Author: w-javed

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_constants.py

@@ -54,6 +54,7 @@ class EvaluationRunProperties:
 
     RUN_TYPE = "runType"
     EVALUATION_RUN = "_azureml.evaluation_run"
+    EVALUATION_SDK = "_azureml.evaluation_sdk_name"
 
 
 DEFAULT_EVALUATION_RESULTS_FILE_NAME = "evaluation_results.json"

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_evaluate/_utils.py

@@ -22,6 +22,7 @@
 )
 from azure.ai.evaluation._exceptions import ErrorBlame, ErrorCategory, ErrorTarget, EvaluationException
 from azure.ai.evaluation._model_configurations import AzureAIProject
+from azure.ai.evaluation._version import VERSION
 from azure.ai.evaluation._azure._clients import LiteMLClient
 
 LOGGER = logging.getLogger(__name__)
@@ -190,9 +191,16 @@ def _log_metrics_and_instance_results(
                     properties={
                         EvaluationRunProperties.RUN_TYPE: "eval_run",
                         EvaluationRunProperties.EVALUATION_RUN: "promptflow.BatchRun",
+                        EvaluationRunProperties.EVALUATION_SDK: f"azure-ai-evaluation:{VERSION}",
                         "_azureml.evaluate_artifacts": json.dumps([{"path": artifact_name, "type": "table"}]),
                     }
                 )
+            else:
+                ev_run.write_properties_to_run_history(
+                    properties={
+                        EvaluationRunProperties.EVALUATION_SDK: f"azure-ai-evaluation:{VERSION}",
+                    }
+                )
 
         for metric_name, metric_value in metrics.items():
             ev_run.log_metric(metric_name, metric_value)