new tests

sdk/evaluation/azure-ai-evaluation/assets.json

@@ -2,5 +2,5 @@
   "AssetsRepo": "Azure/azure-sdk-assets",
   "AssetsRepoPrefixPath": "python",
   "TagPrefix": "python/evaluation/azure-ai-evaluation",
-  "Tag": "python/evaluation/azure-ai-evaluation_a63b4a27cf"
+  "Tag": "python/evaluation/azure-ai-evaluation_d414254496"
 }

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_evaluators/_similarity/_similarity.py

@@ -80,7 +80,7 @@ async def __call__(self, *, query: str, response: str, ground_truth: str, **kwar
 
 class SimilarityEvaluator:
     """
-    Evaluates similarity score for a given query, response, and ground truth or a multi-turn conversation.
+    Evaluates similarity score for a given query, response, and ground truth.
 
     The similarity measure evaluates the likeness between a ground truth sentence (or document) and the
     AI model's generated prediction. This calculation involves creating sentence-level embeddings for both

sdk/evaluation/azure-ai-evaluation/tests/conftest.py

@@ -1,6 +1,7 @@
 from .__openai_patcher import TestProxyConfig, TestProxyHttpxClientBase  # isort: split
 from . import __pf_service_isolation  # isort: split  # noqa: F401
 
+import os
 import json
 import multiprocessing
 import time