diff --git a/langfuse/_task_manager/score_ingestion_consumer.py b/langfuse/_task_manager/score_ingestion_consumer.py
index 0aedaa7a5..7a256004d 100644
--- a/langfuse/_task_manager/score_ingestion_consumer.py
+++ b/langfuse/_task_manager/score_ingestion_consumer.py
@@ -11,6 +11,7 @@
 from langfuse._utils.parse_error import handle_exception
 from langfuse._utils.request import APIError, LangfuseClient
 from langfuse._utils.serializer import EventSerializer
+from langfuse.api.core.pydantic_utilities import UniversalBaseModel
 from langfuse.logger import langfuse_logger as logger
 
 from ..version import __version__ as langfuse_version
@@ -73,7 +74,10 @@ def _next(self) -> list:
 
                 # convert pydantic models to dicts
                 if "body" in event and isinstance(event["body"], BaseModel):
-                    event["body"] = event["body"].model_dump(exclude_none=True)
+                    if isinstance(event["body"], UniversalBaseModel):
+                        event["body"] = event["body"].dict(exclude_none=True)
+                    else:
+                        event["body"] = event["body"].model_dump(exclude_none=True)
 
                 item_size = self._get_item_size(event)
 
diff --git a/langfuse/_utils/serializer.py b/langfuse/_utils/serializer.py
index c2dad3312..80ba27850 100644
--- a/langfuse/_utils/serializer.py
+++ b/langfuse/_utils/serializer.py
@@ -15,6 +15,7 @@
 
 from pydantic import BaseModel
 
+from langfuse.api.core.pydantic_utilities import UniversalBaseModel
 from langfuse.media import LangfuseMedia
 
 # Attempt to import Serializable
@@ -104,6 +105,9 @@ def default(self, obj: Any) -> Any:
                 if isinstance(raw := getattr(obj, "raw", None), BaseModel):
                     raw.model_rebuild()
 
+                if isinstance(obj, UniversalBaseModel):
+                    return obj.dict()
+
                 return obj.model_dump()
 
             if isinstance(obj, Path):
diff --git a/tests/test_serializer.py b/tests/test_serializer.py
index 4faf7019b..5e82f1b0a 100644
--- a/tests/test_serializer.py
+++ b/tests/test_serializer.py
@@ -4,13 +4,15 @@
 from datetime import date, datetime, timezone
 from enum import Enum
 from pathlib import Path
+from queue import Queue
+from unittest.mock import Mock
 from uuid import UUID
 
 from pydantic import BaseModel
 
-from langfuse._utils.serializer import (
-    EventSerializer,
-)
+from langfuse._task_manager.score_ingestion_consumer import ScoreIngestionConsumer
+from langfuse._utils.serializer import EventSerializer
+from langfuse.api import ScoreBody
 
 
 class TestEnum(Enum):
@@ -69,6 +71,68 @@ def test_pydantic_model():
     assert json.loads(serializer.encode(model)) == {"field": "test"}
 
 
+def test_langfuse_model_uses_aliases():
+    model = ScoreBody(
+        id="score-1",
+        trace_id="trace-1",
+        session_id="session-1",
+        observation_id="observation-1",
+        dataset_run_id="dataset-run-1",
+        name="rating",
+        value=2,
+        data_type="NUMERIC",
+        config_id="config-1",
+    )
+    serializer = EventSerializer()
+
+    assert json.loads(serializer.encode(model)) == {
+        "id": "score-1",
+        "traceId": "trace-1",
+        "sessionId": "session-1",
+        "observationId": "observation-1",
+        "datasetRunId": "dataset-run-1",
+        "name": "rating",
+        "value": 2,
+        "dataType": "NUMERIC",
+        "configId": "config-1",
+    }
+
+
+def test_score_ingestion_consumer_uses_aliases_for_langfuse_models():
+    ingestion_queue = Queue()
+    consumer = ScoreIngestionConsumer(
+        ingestion_queue=ingestion_queue,
+        identifier=0,
+        client=Mock(),
+        public_key="pk-test",
+    )
+
+    ingestion_queue.put(
+        {
+            "id": "event-1",
+            "type": "score-create",
+            "timestamp": "2026-03-25T16:10:45.793Z",
+            "body": ScoreBody(
+                id="score-1",
+                session_id="session-1",
+                name="rating",
+                value=2,
+                data_type="NUMERIC",
+            ),
+        }
+    )
+
+    batch = consumer._next()
+
+    assert batch[0]["body"] == {
+        "id": "score-1",
+        "sessionId": "session-1",
+        "name": "rating",
+        "value": 2,
+        "dataType": "NUMERIC",
+    }
+
+
 def test_path():
     path = Path("/tmp/test.txt")
     serializer = EventSerializer()