diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index 5a6debc4af5..70d6e55a469 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -262,6 +262,19 @@ def tool_call_dict_from_output_item(item: Mapping[str, Any], index: int) -> _Cha
     return tool_call_dict
 
 
+def _is_silent_output(output_items: Sequence[object]) -> bool:
+    """True when a completed response carries no message and no tool call.
+
+    Covers an empty ``output`` list and a reasoning-only list. Both are legal
+    ``status: completed`` responses that convert to zero chat choices.
+    """
+    for item in output_items:
+        item_type = item.get("type") if isinstance(item, Mapping) else getattr(item, "type", None)
+        if item_type != "reasoning":
+            return False
+    return True
+
+
 def _flat_responses_tool_choice(choice_type: str, name: str) -> ToolChoiceFunctionParam | ToolChoiceCustomParam:
     if choice_type == "custom":
         return ToolChoiceCustomParam(type="custom", name=name)
@@ -784,7 +797,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
     @staticmethod
     def _build_empty_incomplete_choice(
         output_items: Sequence[object],
-        finish_reason: Literal["length", "content_filter"],
+        finish_reason: Literal["length", "content_filter", "stop"],
     ) -> "Choices":
         from litellm.types.utils import Choices, Message
 
@@ -913,7 +926,15 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
         )
 
         if len(choices) == 0 and not response_is_incomplete:
-            raise ValueError(f"Unknown items in responses API response: {output_items}")
+            if raw_response.status == "completed" and _is_silent_output(output_items):
+                # A completed turn with nothing to say: no message and no tool
+                # call (empty output, or reasoning only). Chat Completions
+                # returns an empty assistant message with finish_reason "stop"
+                # for this case; mirror it instead of failing a successful
+                # request with a 500.
+                choices.append(self._build_empty_incomplete_choice(output_items, "stop"))
+            else:
+                raise ValueError(f"Unknown items in responses API response: {output_items}")
 
         if response_is_incomplete:
             incomplete_finish_reason: Final = _map_incomplete_reason_to_finish_reason(
diff --git a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
index e4ada0a9b31..ced5d335b9d 100644
--- a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
+++ b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
@@ -3662,14 +3662,58 @@ def test_transform_response_incomplete_content_filter_maps_finish_reason():
     assert result.choices[0].message.content == ""
 
 
-def test_transform_response_zero_choices_not_incomplete_still_raises():
+def test_transform_response_zero_choices_not_completed_still_raises():
     handler = LiteLLMResponsesTransformationHandler()
     raw_response = _make_empty_responses_api_response()
+    raw_response.status = "in_progress"
 
     with pytest.raises(ValueError, match="Unknown items"):
         _call_transform_response(handler, raw_response)
 
 
+def test_transform_response_unknown_completed_item_still_raises():
+    handler = LiteLLMResponsesTransformationHandler()
+    raw_response = _make_empty_responses_api_response()
+    raw_response.output = [{"type": "mystery_item", "id": "x_1"}]
+
+    with pytest.raises(ValueError, match="Unknown items"):
+        _call_transform_response(handler, raw_response)
+
+
+def test_transform_response_empty_completed_output_returns_silent_stop_choice():
+    """A ``status: completed`` response with ``output: []`` is a legal silent turn
+    (seen live from gpt-5.6 on Bedrock Mantle right after a tool result). The
+    bridge mirrors Chat Completions: one empty assistant message with
+    finish_reason "stop", usage preserved, instead of a 500 (#37039)."""
+    handler = LiteLLMResponsesTransformationHandler()
+    raw_response = _make_empty_responses_api_response()
+
+    result = _call_transform_response(handler, raw_response)
+
+    assert len(result.choices) == 1
+    choice = result.choices[0]
+    assert choice.finish_reason == "stop"
+    assert choice.index == 0
+    assert choice.message.role == "assistant"
+    assert choice.message.content == ""
+    assert not choice.message.tool_calls
+    assert result.usage.total_tokens == 2
+
+
+def test_transform_response_reasoning_only_completed_output_returns_silent_stop_choice():
+    handler = LiteLLMResponsesTransformationHandler()
+    raw_response = _make_empty_responses_api_response()
+    raw_response.output = [_make_reasoning_only_output_item()]
+
+    result = _call_transform_response(handler, raw_response)
+
+    assert len(result.choices) == 1
+    choice = result.choices[0]
+    assert choice.finish_reason == "stop"
+    assert choice.message.content == ""
+    assert choice.message.reasoning_items[0]["encrypted_content"] == "enc_abc"
+
+
 def test_transform_response_completed_with_reasonless_incomplete_details_keeps_stop():
     from openai.types.responses import ResponseOutputMessage, ResponseOutputText