fix(openai): update test (#33659)

libs/partners/openai/tests/integration_tests/chat_models/test_responses_api.py

@@ -18,6 +18,7 @@ from pydantic import BaseModel
 from typing_extensions import TypedDict
 
 from langchain_openai import ChatOpenAI, custom_tool
+from langchain_openai.chat_models.base import _convert_to_openai_response_format
 
 MODEL_NAME = "gpt-4o-mini"
 
@@ -247,24 +248,30 @@ def test_parsed_dict_schema(schema: Any) -> None:
 def test_parsed_strict() -> None:
     llm = ChatOpenAI(model=MODEL_NAME, use_responses_api=True)
 
-    class InvalidJoke(TypedDict):
+    class Joke(TypedDict):
         setup: Annotated[str, ..., "The setup of the joke"]
         punchline: Annotated[str, None, "The punchline of the joke"]
 
+    schema = _convert_to_openai_response_format(Joke)
+    invalid_schema = cast(dict, _convert_to_openai_response_format(Joke, strict=True))
+    invalid_schema["json_schema"]["schema"]["required"] = ["setup"]  # make invalid
+
     # Test not strict
-    response = llm.invoke("Tell me a joke", response_format=InvalidJoke)
+    response = llm.invoke("Tell me a joke", response_format=schema)
     parsed = json.loads(response.text)
     assert parsed == response.additional_kwargs["parsed"]
 
     # Test strict
     with pytest.raises(openai.BadRequestError):
         llm.invoke(
-            "Tell me a joke about cats.", response_format=InvalidJoke, strict=True
+            "Tell me a joke about cats.", response_format=invalid_schema, strict=True
         )
     with pytest.raises(openai.BadRequestError):
         next(
             llm.stream(
-                "Tell me a joke about cats.", response_format=InvalidJoke, strict=True
+                "Tell me a joke about cats.",
+                response_format=invalid_schema,
+                strict=True,
             )
         )