diff --git a/tests/unit/drivers/prompt/test_lm_studio_prompt_driver.py b/tests/unit/drivers/prompt/test_lm_studio_prompt_driver.py
index 28847e746e..4aa73ce40c 100644
--- a/tests/unit/drivers/prompt/test_lm_studio_prompt_driver.py
+++ b/tests/unit/drivers/prompt/test_lm_studio_prompt_driver.py
@@ -14,7 +14,7 @@ def mock_chat_completion_create(self, mocker):
         mock_function.name = "MockTool_test"
         mock_chat_create.return_value = Mock(
             headers={},
-            choices=[Mock(message=Mock(content="model-output"))],
+            choices=[Mock(message=Mock(content="model-output", tool_calls=None))],
             usage=Mock(prompt_tokens=5, completion_tokens=10),
         )
 
@@ -36,11 +36,8 @@ def mock_chat_completion_stream_create(self, mocker):
         )
         return mock_chat_create
 
-    def test_init(self):
-        assert LmStudioPromptDriver(model="lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF")
-
-    def test_try_run(self, mock_client):
-        # Given
+    @pytest.fixture
+    def prompt_stack(self):
         prompt_stack = PromptStack()
         prompt_stack.add_system_message("system-input")
         prompt_stack.add_user_message("user-input")
@@ -50,55 +47,57 @@ def test_try_run(self, mock_client):
             )
         )
         prompt_stack.add_assistant_message("assistant-input")
-        driver = LmStudioPromptDriver(model="lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF")
-        expected_messages = [
+
+        return prompt_stack
+
+    @pytest.fixture
+    def messages(self):
+        return [
             {"role": "system", "content": "system-input"},
             {"role": "user", "content": "user-input"},
-            {"role": "user", "content": "user-input", "images": ["aW1hZ2UtZGF0YQ=="]},
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "user-input"},
+                    {"type": "image_url", "image_url": {"url": "data:image/png;base64,aW1hZ2UtZGF0YQ=="}},
+                ],
+            },
             {"role": "assistant", "content": "assistant-input"},
         ]
 
+    def test_init(self):
+        assert LmStudioPromptDriver(model="lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF")
+
+    def test_try_run(self, mock_chat_completion_create, prompt_stack, messages):
+        # Given
+        driver = LmStudioPromptDriver(model="lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF")
         # When
         message = driver.try_run(prompt_stack)
 
         # Then
-        mock_client.return_value.chat.assert_called_once_with(
-            messages=expected_messages,
-            model=driver.model,
-            options={"temperature": driver.temperature, "stop": [], "num_predict": driver.max_tokens},
+        mock_chat_completion_create.assert_called_once_with(
+            messages=messages, model=driver.model, temperature=driver.temperature, user=driver.user, seed=driver.seed
         )
         assert message.value == "model-output"
-        assert message.usage.input_tokens is None
-        assert message.usage.output_tokens is None
+        assert message.usage.input_tokens == 5
+        assert message.usage.output_tokens == 10
 
-    def test_try_stream_run(self, mock_stream_client):
+    def test_try_stream_run(self, mock_chat_completion_stream_create, prompt_stack, messages):
         # Given
-        prompt_stack = PromptStack()
-        prompt_stack.add_system_message("system-input")
-        prompt_stack.add_user_message("user-input")
-        prompt_stack.add_user_message(
-            ListArtifact(
-                [TextArtifact("user-input"), ImageArtifact(value=b"image-data", format="png", width=100, height=100)]
-            )
-        )
-        prompt_stack.add_assistant_message("assistant-input")
-        expected_messages = [
-            {"role": "system", "content": "system-input"},
-            {"role": "user", "content": "user-input"},
-            {"role": "user", "content": "user-input", "images": ["aW1hZ2UtZGF0YQ=="]},
-            {"role": "assistant", "content": "assistant-input"},
-        ]
         driver = LmStudioPromptDriver(model="lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF", stream=True)
 
         # When
         text_artifact = next(driver.try_stream(prompt_stack))
 
         # Then
-        mock_stream_client.return_value.chat.assert_called_once_with(
-            messages=expected_messages,
+        mock_chat_completion_stream_create.assert_called_once_with(
+            messages=messages,
             model=driver.model,
-            options={"temperature": driver.temperature, "stop": [], "num_predict": driver.max_tokens},
+            temperature=driver.temperature,
+            user=driver.user,
+            seed=driver.seed,
             stream=True,
+            stream_options={"include_usage": True},
         )
         if isinstance(text_artifact, TextDeltaMessageContent):
             assert text_artifact.text == "model-output"