make format

src/agents/agent_output.py

@@ -138,7 +138,7 @@ def _type_to_str(t: type[Any]) -> str:
         # It's a simple type like `str`, `int`, etc.
         return t.__name__
     elif args:
-        args_str = ', '.join(_type_to_str(arg) for arg in args)
+        args_str = ", ".join(_type_to_str(arg) for arg in args)
         return f"{origin.__name__}[{args_str}]"
     else:
         return str(t)

src/agents/model_settings.py

@@ -11,6 +11,7 @@ class ModelSettings:
     This class holds optional model configuration parameters (e.g. temperature,
     top_p, penalties, truncation, etc.).
     """
+
     temperature: float | None = None
     top_p: float | None = None
     frequency_penalty: float | None = None

tests/test_config.py

@@ -49,13 +49,16 @@ def test_resp_set_default_openai_client():
 
 
 def test_set_default_openai_api():
-    assert isinstance(OpenAIProvider().get_model("gpt-4"), OpenAIResponsesModel), \
+    assert isinstance(OpenAIProvider().get_model("gpt-4"), OpenAIResponsesModel), (
         "Default should be responses"
+    )
 
     set_default_openai_api("chat_completions")
-    assert isinstance(OpenAIProvider().get_model("gpt-4"), OpenAIChatCompletionsModel), \
+    assert isinstance(OpenAIProvider().get_model("gpt-4"), OpenAIChatCompletionsModel), (
         "Should be chat completions model"
+    )
 
     set_default_openai_api("responses")
-    assert isinstance(OpenAIProvider().get_model("gpt-4"), OpenAIResponsesModel), \
+    assert isinstance(OpenAIProvider().get_model("gpt-4"), OpenAIResponsesModel), (
         "Should be responses model"
+    )