fix(s3.py): fix s3 logging payload to have valid json values

Previously pydantic objects were being stringified, making them unparsable

litellm/tests/test_custom_callback_input.py

@@ -1166,3 +1166,55 @@ def test_turn_off_message_logging():
 
     time.sleep(2)
     assert len(customHandler.errors) == 0
+
+
+##### VALID JSON ######
+
+
+def test_standard_logging_payload():
+    """
+    Ensure valid standard_logging_payload is passed for logging calls to s3
+
+    Motivation: provide a standard set of things that are logged to s3/gcs/future integrations across all llm calls
+    """
+    from litellm.types.utils import StandardLoggingPayload
+
+    # sync completion
+    customHandler = CompletionCustomHandler()
+    litellm.callbacks = [customHandler]
+
+    with patch.object(
+        customHandler, "log_success_event", new=MagicMock()
+    ) as mock_client:
+        _ = litellm.completion(
+            model="gpt-3.5-turbo",
+            messages=[{"role": "user", "content": "Hey, how's it going?"}],
+            mock_response="Going well!",
+        )
+
+        time.sleep(2)
+        mock_client.assert_called_once()
+
+        print(
+            f"mock_client_post.call_args: {mock_client.call_args.kwargs['kwargs'].keys()}"
+        )
+        assert "standard_logging_object" in mock_client.call_args.kwargs["kwargs"]
+        assert (
+            mock_client.call_args.kwargs["kwargs"]["standard_logging_object"]
+            is not None
+        )
+
+        print(mock_client.call_args.kwargs["kwargs"]["standard_logging_object"])
+
+        keys_list = list(StandardLoggingPayload.__annotations__.keys())
+
+        for k in keys_list:
+            assert (
+                k in mock_client.call_args.kwargs["kwargs"]["standard_logging_object"]
+            )
+
+        ## json serializable
+        json_str_payload = json.dumps(
+            mock_client.call_args.kwargs["kwargs"]["standard_logging_object"]
+        )
+        json.loads(json_str_payload)