chore(openai): update snapshots (#39657)

libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_base_standard.ambr

@@ -11,6 +11,7 @@
       'max_retries': 2,
       'max_tokens': 100,
       'model_name': 'gpt-3.5-turbo',
+      'openai_api_base': 'https://api.openai.com/v1',
       'openai_api_key': dict({
         'id': list([
           'OPENAI_API_KEY',

libs/partners/openai/tests/unit_tests/chat_models/__snapshots__/test_responses_standard.ambr

@@ -11,6 +11,7 @@
       'max_retries': 2,
       'max_tokens': 100,
       'model_name': 'gpt-3.5-turbo',
+      'openai_api_base': 'https://api.openai.com/v1',
       'openai_api_key': dict({
         'id': list([
           'OPENAI_API_KEY',

libs/partners/openai/tests/unit_tests/chat_models/test_base_standard.py

@@ -11,6 +11,13 @@ class TestOpenAIStandard(ChatModelUnitTests):
     def chat_model_class(self) -> type[BaseChatModel]:
         return ChatOpenAI
 
+    @property
+    def chat_model_params(self) -> dict:
+        return {
+            "base_url": "https://api.openai.com/v1",
+            "stream_usage": True,
+        }
+
     @property
     def init_from_env_params(self) -> tuple[dict, dict, dict]:
         return (

libs/partners/openai/tests/unit_tests/chat_models/test_responses_standard.py

@@ -13,7 +13,11 @@ class TestOpenAIResponses(ChatModelUnitTests):
 
     @property
     def chat_model_params(self) -> dict:
-        return {"use_responses_api": True}
+        return {
+            "use_responses_api": True,
+            "base_url": "https://api.openai.com/v1",
+            "stream_usage": True,
+        }
 
     @property
     def init_from_env_params(self) -> tuple[dict, dict, dict]: