diff --git a/tests/batches_tests/test_openai_batches_and_files.py b/tests/batches_tests/test_openai_batches_and_files.py
index 8465df78d8..57825bd0ea 100644
--- a/tests/batches_tests/test_openai_batches_and_files.py
+++ b/tests/batches_tests/test_openai_batches_and_files.py
@@ -170,6 +170,69 @@ class TestCustomLogger(CustomLogger):
         self.standard_logging_object = kwargs["standard_logging_object"]
 
 
+def cleanup_azure_files():
+    """
+    Delete all files for Azure - helper for when we run out of Azure Files Quota
+    """
+    azure_files = litellm.file_list(
+        custom_llm_provider="azure",
+        api_key=os.getenv("AZURE_FT_API_KEY"),
+        api_base=os.getenv("AZURE_FT_API_BASE"),
+    )
+    print("azure_files=", azure_files)
+    for _file in azure_files:
+        print("deleting file=", _file)
+        delete_file_response = litellm.file_delete(
+            file_id=_file.id,
+            custom_llm_provider="azure",
+            api_key=os.getenv("AZURE_FT_API_KEY"),
+            api_base=os.getenv("AZURE_FT_API_BASE"),
+        )
+        print("delete_file_response=", delete_file_response)
+        assert delete_file_response.id == _file.id
+
+
+def cleanup_azure_ft_models():
+    """
+    Test CLEANUP: Delete all existing fine tuning jobs for Azure
+    """
+    try:
+        from openai import AzureOpenAI
+        import requests
+
+        client = AzureOpenAI(
+            api_key=os.getenv("AZURE_FT_API_KEY"),
+            azure_endpoint=os.getenv("AZURE_FT_API_BASE"),
+            api_version=os.getenv("AZURE_API_VERSION"),
+        )
+
+        _list_ft_jobs = client.fine_tuning.jobs.list()
+        print("_list_ft_jobs=", _list_ft_jobs)
+
+        # delete all ft jobs make post request to this
+        # Delete all fine-tuning jobs
+        for job in _list_ft_jobs:
+            try:
+                endpoint = os.getenv("AZURE_FT_API_BASE").rstrip("/")
+                url = f"{endpoint}/openai/fine_tuning/jobs/{job.id}?api-version=2024-10-21"
+                print("url=", url)
+
+                headers = {
+                    "api-key": os.getenv("AZURE_FT_API_KEY"),
+                    "Content-Type": "application/json",
+                }
+
+                response = requests.delete(url, headers=headers)
+                print(f"Deleting job {job.id}: Status {response.status_code}")
+                if response.status_code != 204:
+                    print(f"Error deleting job {job.id}: {response.text}")
+
+            except Exception as e:
+                print(f"Error deleting job {job.id}: {str(e)}")
+    except Exception as e:
+        print(f"Error on cleanup_azure_ft_models: {str(e)}")
+
+
 @pytest.mark.parametrize("provider", ["openai"])
 @pytest.mark.asyncio()
 @pytest.mark.flaky(retries=3, delay=1)
@@ -304,69 +367,6 @@ async def test_async_create_batch(provider):
         cleanup_azure_ft_models()
 
 
-def cleanup_azure_files():
-    """
-    Delete all files for Azure - helper for when we run out of Azure Files Quota
-    """
-    azure_files = litellm.file_list(
-        custom_llm_provider="azure",
-        api_key=os.getenv("AZURE_FT_API_KEY"),
-        api_base=os.getenv("AZURE_FT_API_BASE"),
-    )
-    print("azure_files=", azure_files)
-    for _file in azure_files:
-        print("deleting file=", _file)
-        delete_file_response = litellm.file_delete(
-            file_id=_file.id,
-            custom_llm_provider="azure",
-            api_key=os.getenv("AZURE_FT_API_KEY"),
-            api_base=os.getenv("AZURE_FT_API_BASE"),
-        )
-        print("delete_file_response=", delete_file_response)
-        assert delete_file_response.id == _file.id
-
-
-def cleanup_azure_ft_models():
-    """
-    Test CLEANUP: Delete all existing fine tuning jobs for Azure
-    """
-    try:
-        from openai import AzureOpenAI
-        import requests
-
-        client = AzureOpenAI(
-            api_key=os.getenv("AZURE_FT_API_KEY"),
-            azure_endpoint=os.getenv("AZURE_FT_API_BASE"),
-            api_version=os.getenv("AZURE_API_VERSION"),
-        )
-
-        _list_ft_jobs = client.fine_tuning.jobs.list()
-        print("_list_ft_jobs=", _list_ft_jobs)
-
-        # delete all ft jobs make post request to this
-        # Delete all fine-tuning jobs
-        for job in _list_ft_jobs:
-            try:
-                endpoint = os.getenv("AZURE_FT_API_BASE").rstrip("/")
-                url = f"{endpoint}/openai/fine_tuning/jobs/{job.id}?api-version=2024-10-21"
-                print("url=", url)
-
-                headers = {
-                    "api-key": os.getenv("AZURE_FT_API_KEY"),
-                    "Content-Type": "application/json",
-                }
-
-                response = requests.delete(url, headers=headers)
-                print(f"Deleting job {job.id}: Status {response.status_code}")
-                if response.status_code != 204:
-                    print(f"Error deleting job {job.id}: {response.text}")
-
-            except Exception as e:
-                print(f"Error deleting job {job.id}: {str(e)}")
-    except Exception as e:
-        print(f"Error on cleanup_azure_ft_models: {str(e)}")
-
-
 @pytest.mark.asyncio
 async def test_avertex_batch_prediction():
     load_vertex_ai_credentials()