log input of response API

litellm/responses/main.py

@@ -120,6 +120,18 @@ async def aresponses(
         response_api_optional_params=response_api_optional_params,
     )
 
+    # Pre Call logging
+    litellm_logging_obj.update_environment_variables(
+        model=model,
+        user=user,
+        optional_params=dict(responses_api_request_params),
+        litellm_params={
+            "litellm_call_id": litellm_call_id,
+            **responses_api_request_params,
+        },
+        custom_llm_provider=custom_llm_provider,
+    )
+
     response = await base_llm_http_handler.async_response_api_handler(
         model=model,
         input=input,

litellm/utils.py

@@ -716,6 +716,11 @@ def function_setup(  # noqa: PLR0915
             call_type == CallTypes.aspeech.value or call_type == CallTypes.speech.value
         ):
             messages = kwargs.get("input", "speech")
+        elif (
+            call_type == CallTypes.aresponses.value
+            or call_type == CallTypes.responses.value
+        ):
+            messages = args[0] if len(args) > 0 else kwargs["input"]
         else:
             messages = "default-message-value"
         stream = True if "stream" in kwargs and kwargs["stream"] is True else False

tests/llm_responses_api_testing/test_openai_responses_api.py

@@ -76,8 +76,9 @@ async def test_basic_openai_responses_api_non_streaming_with_logging():
     litellm.set_verbose = True
     test_custom_logger = TestCustomLogger()
     litellm.callbacks = [test_custom_logger]
+    request_model = "gpt-4o"
     response = await litellm.aresponses(
-        model="gpt-4o",
+        model=request_model,
         input="hi",
     )
 
@@ -111,9 +112,14 @@ async def test_basic_openai_responses_api_non_streaming_with_logging():
     assert test_custom_logger.standard_logging_object["response_cost"] > 0
 
     # validate response id matches OpenAI
+    assert test_custom_logger.standard_logging_object["id"] == response["id"]
 
     # validate model matches
+    assert test_custom_logger.standard_logging_object["model"] == request_model
 
     # validate messages matches
+    assert test_custom_logger.standard_logging_object["messages"] == [
+        {"content": "hi", "role": "user"}
+    ]
 
     # validate responses matches