diff --git a/litellm/integrations/otel/mappers/langfuse.py b/litellm/integrations/otel/mappers/langfuse.py
index 55a015860b0..9aff944cff0 100644
--- a/litellm/integrations/otel/mappers/langfuse.py
+++ b/litellm/integrations/otel/mappers/langfuse.py
@@ -27,7 +27,6 @@ from litellm.integrations.otel.model.payloads import (
     LLMRequestParams,
     LLMUsage,
 )
-from litellm.integrations.otel.model.semconv import GenAIOperation
 from litellm.integrations.otel.model.trace_controls import TraceControls
 
 LANGFUSE_OBSERVATION_INPUT: Final = "langfuse.observation.input"
@@ -40,9 +39,7 @@ LANGFUSE_TRACE_TAGS: Final = "langfuse.trace.tags"
 
 class LangfuseMapper:
     _LLM_CALL_ATTRS: dict[str, Callable[[LLMCallSpanData], AttrValue | None]] = {
-        "langfuse.observation.type": lambda d: (
-            "embedding" if d.operation is GenAIOperation.EMBEDDINGS else "generation"
-        ),
+        "langfuse.observation.type": lambda _: "generation",
         "langfuse.observation.model.name": lambda d: d.request_model or None,
         "langfuse.observation.metadata.provider": lambda d: d.provider or None,
         "langfuse.observation.id": lambda d: d.identity.call_id or None,
diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_vendor_mappers.py b/tests/test_litellm/integrations/otel/test_otel_v2_vendor_mappers.py
index 52f3cceff87..c5ebc4bc53a 100644
--- a/tests/test_litellm/integrations/otel/test_otel_v2_vendor_mappers.py
+++ b/tests/test_litellm/integrations/otel/test_otel_v2_vendor_mappers.py
@@ -174,7 +174,7 @@ def test_langfuse_mapper_skips_when_no_messages():
     assert "langfuse.observation.output" not in attrs
 
 
-def test_langfuse_mapper_renders_an_embedding_call_as_an_embedding_with_a_vector_summary():
+def test_langfuse_mapper_renders_an_embedding_call_with_a_vector_summary_as_output():
     data = _llm_call(
         operation=GenAIOperation.EMBEDDINGS,
         request_model="text-embedding-3-small",
@@ -185,7 +185,7 @@ def test_langfuse_mapper_renders_an_embedding_call_as_an_embedding_with_a_vector
     )
     attrs = LangfuseMapper().map(data)
 
-    assert attrs["langfuse.observation.type"] == "embedding"
+    assert attrs["langfuse.observation.type"] == "generation"
     assert json.loads(attrs["langfuse.observation.output"]) == {"count": 2, "dimensions": 1536}
     assert json.loads(attrs["langfuse.observation.input"]) == [{"role": "user", "content": "hello"}]
 
@@ -193,7 +193,6 @@ def test_langfuse_mapper_renders_an_embedding_call_as_an_embedding_with_a_vector
 def test_langfuse_mapper_keeps_chat_output_when_no_embedding_summary():
     attrs = LangfuseMapper().map(_llm_call(embedding_output=None))
 
-    assert attrs["langfuse.observation.type"] == "generation"
     assert json.loads(attrs["langfuse.observation.output"]) == [{"role": "assistant", "content": "Sunny."}]