diff --git a/tests/entrypoints/openai/test_lora_resolvers.py b/tests/entrypoints/openai/test_lora_resolvers.py
index e2c83b9c4004..9d5ee84a1956 100644
--- a/tests/entrypoints/openai/test_lora_resolvers.py
+++ b/tests/entrypoints/openai/test_lora_resolvers.py
@@ -5,7 +5,7 @@
 from dataclasses import dataclass, field
 from http import HTTPStatus
 from typing import Optional
-from unittest.mock import MagicMock
+from unittest.mock import AsyncMock, MagicMock
 
 import pytest
 
@@ -83,20 +83,31 @@ def register_mock_resolver():
 def mock_serving_setup():
     """Provides a mocked engine and serving completion instance."""
     mock_engine = MagicMock(spec=AsyncLLM)
-    mock_engine.get_tokenizer.return_value = get_tokenizer(MODEL_NAME)
     mock_engine.errored = False
 
-    def mock_add_lora_side_effect(lora_request: LoRARequest):
+    tokenizer = get_tokenizer(MODEL_NAME)
+    mock_engine.get_tokenizer = AsyncMock(return_value=tokenizer)
+
+    async def mock_add_lora_side_effect(lora_request: LoRARequest):
         """Simulate engine behavior when adding LoRAs."""
         if lora_request.lora_name == "test-lora":
             # Simulate successful addition
-            return
-        elif lora_request.lora_name == "invalid-lora":
+            return True
+        if lora_request.lora_name == "invalid-lora":
             # Simulate failure during addition (e.g. invalid format)
             raise ValueError(f"Simulated failure adding LoRA: "
                              f"{lora_request.lora_name}")
+        return True
+
+    mock_engine.add_lora = AsyncMock(side_effect=mock_add_lora_side_effect)
+
+    async def mock_generate(*args, **kwargs):
+        for _ in []:
+            yield _
+
+    mock_engine.generate = MagicMock(spec=AsyncLLM.generate,
+                                     side_effect=mock_generate)
 
-    mock_engine.add_lora.side_effect = mock_add_lora_side_effect
     mock_engine.generate.reset_mock()
     mock_engine.add_lora.reset_mock()
 
@@ -131,7 +142,7 @@ async def test_serving_completion_with_lora_resolver(mock_serving_setup,
     with suppress(Exception):
         await serving_completion.create_completion(req_found)
 
-    mock_engine.add_lora.assert_called_once()
+    mock_engine.add_lora.assert_awaited_once()
     called_lora_request = mock_engine.add_lora.call_args[0][0]
     assert isinstance(called_lora_request, LoRARequest)
     assert called_lora_request.lora_name == lora_model_name
@@ -157,7 +168,7 @@ async def test_serving_completion_resolver_not_found(mock_serving_setup,
 
     response = await serving_completion.create_completion(req)
 
-    mock_engine.add_lora.assert_not_called()
+    mock_engine.add_lora.assert_not_awaited()
     mock_engine.generate.assert_not_called()
 
     assert isinstance(response, ErrorResponse)
@@ -181,7 +192,7 @@ async def test_serving_completion_resolver_add_lora_fails(
     response = await serving_completion.create_completion(req)
 
     # Assert add_lora was called before the failure
-    mock_engine.add_lora.assert_called_once()
+    mock_engine.add_lora.assert_awaited_once()
     called_lora_request = mock_engine.add_lora.call_args[0][0]
     assert isinstance(called_lora_request, LoRARequest)
     assert called_lora_request.lora_name == invalid_model