test(passthrough): drop the Azure assistants test, retired upstream on 2026-08-26

Azure now answers the create call with 410 and code assistants_api_deprecated:
"The Assistants API has been retired. Follow the migration guide to update your
workloads." Microsoft retired it on the same day OpenAI retired theirs, which is
why this landed with the OpenAI ones rather than before them.

This job runs pytest with -x, so the test was also hiding everything after it in
tests/pass_through_tests.

test_pass_through_file_operations stays. It only asks /v1/files for
purpose="assistants", which still answers 200 on both upload and delete.

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()