small enhancement, immaterial mostly

llama_stack/providers/tests/inference/conftest.py

@@ -46,9 +46,10 @@ def pytest_generate_tests(metafunc):
             if ("Vision" in cls_name and "Vision" in model) or ("Vision" not in cls_name and "Vision" not in model):
                 params.append(pytest.param(model, id=model))
 
+        print(f"params: {params}")
         if not params:
             model = metafunc.config.getoption("--inference-model")
-            params = [pytest.param(model, id="")]
+            params = [pytest.param(model, id=model)]
 
         metafunc.parametrize(
             "inference_model",

llama_stack/providers/utils/inference/openai_compat.py

@@ -21,6 +21,9 @@ from openai.types.chat import (
 from openai.types.chat import (
     ChatCompletionContentPartParam as OpenAIChatCompletionContentPartParam,
 )
+from openai.types.chat import (
+    ChatCompletionContentPartTextParam as OpenAIChatCompletionContentPartTextParam,
+)
 from openai.types.chat import (
     ChatCompletionMessageParam as OpenAIChatCompletionMessage,
 )
@@ -519,8 +522,12 @@ async def convert_message_to_openai_dict_new(message: Message | Dict) -> OpenAIC
         content: InterleavedContent,
     ) -> Union[str, Iterable[OpenAIChatCompletionContentPartParam]]:
         # Llama Stack and OpenAI spec match for str and text input
-        if isinstance(content, str) or isinstance(content, TextContentItem):
+        if isinstance(content, str):
             return content
+        elif isinstance(content, TextContentItem):
+            return OpenAIChatCompletionContentPartTextParam(
+                text=content.text,
+            )
         elif isinstance(content, ImageContentItem):
             return OpenAIChatCompletionContentPartImageParam(
                 image_url=OpenAIImageURL(url=await convert_image_content_to_url(content)),