fix(openai/responses): fallback to model construct, don't use it by default (causes downstream errors for nested values)

litellm/llms/openai/responses/transformation.py

@@ -161,6 +161,10 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
     ) -> ResponsesAPIResponse:
         """No transform applied since outputs are in OpenAI spec already"""
         try:
+            logging_obj.post_call(
+                original_response=raw_response.text,
+                additional_args={"complete_input_dict": {}},
+            )
             raw_response_json = raw_response.json()
             raw_response_json["created_at"] = _safe_convert_created_field(
                 raw_response_json["created_at"]
@@ -169,7 +173,13 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
             raise OpenAIError(
                 message=raw_response.text, status_code=raw_response.status_code
             )
-        return ResponsesAPIResponse.model_construct(**raw_response_json)
+        try:
+            return ResponsesAPIResponse(**raw_response_json)
+        except Exception:
+            verbose_logger.debug(
+                f"Error constructing ResponsesAPIResponse: {raw_response_json}, using model_construct"
+            )
+            return ResponsesAPIResponse.model_construct(**raw_response_json)
 
     def validate_environment(
         self, headers: dict, model: str, litellm_params: Optional[GenericLiteLLMParams]

litellm/proxy/_new_secret_config.yaml

@@ -4,9 +4,9 @@ model_list:
       model: openai/gpt-4o-mini
       api_base: "https://webhook.site/2f385e05-00aa-402b-86d1-efc9261471a5"
       api_key: dummy
-  - model_name: "byok-wildcard/*"
+  - model_name: "gemini-2.5-flash"
     litellm_params:
-      model: openai/*
+      model: gemini/gemini-2.5-flash
   - model_name: xai-grok-3
     litellm_params:
       model: xai/grok-3
@@ -22,8 +22,3 @@ mcp_servers:
     spec_path: "/Users/krrishdholakia/Documents/temp_py_folder/example_openapi.json"
     auth_type: none
     allowed_tools: ["getpetbyid", "my_api_mcp-findpetsbystatus"]
-
-
-litellm_settings:
-  callbacks: ["prometheus"]
-  custom_prometheus_metadata_labels: ["metadata.initiative", "metadata.business-unit"]  

tests/llm_translation/test_openai.py

@@ -726,3 +726,13 @@ def test_openai_safety_identifier_parameter_sync():
         assert "safety_identifier" in request_body
         # Verify safety_identifier is correctly sent to the API
         assert request_body["safety_identifier"] == "user_code_123456"
+
+
+def test_gpt_5_reasoning():
+    litellm._turn_on_debug()
+    response = litellm.completion(
+        model="openai/responses/gpt-5-mini",
+        messages=[{"role": "user", "content": "Think of a poem, and then write it."}],
+        reasoning_effort="low",
+    )
+    print("response: ", response)