diff --git a/tests/pass_through_tests/test_openai_assistants_passthrough.py b/tests/pass_through_tests/test_openai_assistants_passthrough.py
index 78833e85fa9..9afd8b23b2f 100644
--- a/tests/pass_through_tests/test_openai_assistants_passthrough.py
+++ b/tests/pass_through_tests/test_openai_assistants_passthrough.py
@@ -1,89 +1,22 @@
 import openai
 import tempfile
-from typing_extensions import override
-from openai import AssistantEventHandler
 
 
 client = openai.OpenAI(base_url="http://0.0.0.0:4000/openai", api_key="sk-1234")
 
 
 def test_pass_through_file_operations():
-    # Create a temporary file
     with tempfile.NamedTemporaryFile(
         mode="w+", suffix=".txt", delete=False
     ) as temp_file:
         temp_file.write("This is a test file for the OpenAI Assistants API.")
         temp_file.flush()
 
-        # create a file
         file = client.files.create(
             file=open(temp_file.name, "rb"),
             purpose="assistants",
         )
         print("file created", file)
 
-        # delete the file
         delete_file = client.files.delete(file.id)
         print("file deleted", delete_file)
-
-
-class EventHandler(AssistantEventHandler):
-    @override
-    def on_text_created(self, text) -> None:
-        print(f"\nassistant > ", end="", flush=True)
-
-    @override
-    def on_text_delta(self, delta, snapshot):
-        print(delta.value, end="", flush=True)
-
-    def on_tool_call_created(self, tool_call):
-        print(f"\nassistant > {tool_call.type}\n", flush=True)
-
-    def on_tool_call_delta(self, delta, snapshot):
-        if delta.type == "code_interpreter":
-            if delta.code_interpreter.input:
-                print(delta.code_interpreter.input, end="", flush=True)
-            if delta.code_interpreter.outputs:
-                print(f"\n\noutput >", flush=True)
-                for output in delta.code_interpreter.outputs:
-                    if output.type == "logs":
-                        print(f"\n{output.logs}", flush=True)
-
-
-def test_azure_openai_assistants_e2e_operations_stream():
-    from openai import AzureOpenAI
-
-    client = AzureOpenAI(
-        base_url="http://0.0.0.0:4000/azure-config-passthrough/openai",
-        api_key="sk-1234",
-        api_version="2025-01-01-preview",
-    )
-    assistant = client.beta.assistants.create(
-        name="Math Tutor",
-        instructions="You are a personal math tutor. Write and run code to answer math questions.",
-        tools=[{"type": "code_interpreter"}],
-        model="gpt-4o",
-    )
-    print("assistant created", assistant)
-
-    thread = client.beta.threads.create()
-    print("thread created", thread)
-
-    message = client.beta.threads.messages.create(
-        thread_id=thread.id,
-        role="user",
-        content="I need to solve the equation `3x + 11 = 14`. Can you help me?",
-    )
-    print("message created", message)
-
-    # Then, we use the `stream` SDK helper
-    # with the `EventHandler` class to create the Run
-    # and stream the response.
-
-    with client.beta.threads.runs.stream(
-        thread_id=thread.id,
-        assistant_id=assistant.id,
-        instructions="Please address the user as Jane Doe. The user has a premium account.",
-        event_handler=EventHandler(),
-    ) as stream:
-        stream.until_done()