diff --git a/litellm/llms/anthropic/messages/adapters/transformation.py b/litellm/llms/anthropic/messages/adapters/transformation.py
index 4b1b5a8a11a..ace202fe057 100644
--- a/litellm/llms/anthropic/messages/adapters/transformation.py
+++ b/litellm/llms/anthropic/messages/adapters/transformation.py
@@ -1101,9 +1101,10 @@ class LiteLLMAnthropicMessagesAdapter:
         tool_choice: Final = anthropic_message_request["tool_choice"]
         if not tool_choice:
             return
-        new_kwargs["tool_choice"] = self.translate_anthropic_tool_choice_to_openai(
-            tool_choice=cast(AnthropicMessagesToolChoice, tool_choice)
-        )
+        anthropic_tool_choice: Final = cast(AnthropicMessagesToolChoice, tool_choice)
+        new_kwargs["tool_choice"] = self.translate_anthropic_tool_choice_to_openai(tool_choice=anthropic_tool_choice)
+        if anthropic_tool_choice.get("disable_parallel_tool_use") is True:
+            new_kwargs["parallel_tool_calls"] = False  # rebind-ok: out-param store like tool_choice above
 
     def _translate_stop_sequences_to_openai(
         self,
diff --git a/litellm/llms/anthropic/messages/responses_adapters/transformation.py b/litellm/llms/anthropic/messages/responses_adapters/transformation.py
index 0630bef0311..964189ca7da 100644
--- a/litellm/llms/anthropic/messages/responses_adapters/transformation.py
+++ b/litellm/llms/anthropic/messages/responses_adapters/transformation.py
@@ -656,9 +656,10 @@ class LiteLLMAnthropicToResponsesAPIAdapter:
         # tool_choice
         tool_choice: Final = anthropic_request.get("tool_choice")
         if tool_choice:
-            responses_kwargs["tool_choice"] = self.translate_tool_choice_to_responses_api(
-                cast(AnthropicMessagesToolChoice, tool_choice)
-            )
+            anthropic_tool_choice: Final = cast(AnthropicMessagesToolChoice, tool_choice)
+            responses_kwargs["tool_choice"] = self.translate_tool_choice_to_responses_api(anthropic_tool_choice)
+            if anthropic_tool_choice.get("disable_parallel_tool_use") is True:
+                responses_kwargs["parallel_tool_calls"] = False
 
         # thinking -> reasoning
         thinking: Final = anthropic_request.get("thinking")
diff --git a/tests/unit/llms/anthropic/messages/adapters/test_anthropic_messages_adapters_transformation.py b/tests/unit/llms/anthropic/messages/adapters/test_anthropic_messages_adapters_transformation.py
index cc366dcde4c..a3670a2d7ba 100644
--- a/tests/unit/llms/anthropic/messages/adapters/test_anthropic_messages_adapters_transformation.py
+++ b/tests/unit/llms/anthropic/messages/adapters/test_anthropic_messages_adapters_transformation.py
@@ -5527,3 +5527,30 @@ async def test_chat_bridge_tool_result_text_block_without_text_reaches_the_model
             ],
         }
     ]
+
+
+@pytest.mark.parametrize(
+    ("tool_choice", "expected_parallel_tool_calls"),
+    [
+        ({"type": "auto", "disable_parallel_tool_use": True}, False),
+        ({"type": "any", "disable_parallel_tool_use": True}, False),
+        ({"type": "auto", "disable_parallel_tool_use": False}, None),
+        ({"type": "auto"}, None),
+    ],
+)
+def test_translate_anthropic_to_openai_disable_parallel_tool_use_sets_parallel_tool_calls(
+    tool_choice: dict[str, object], expected_parallel_tool_calls: bool | None
+) -> None:
+    from litellm.types.llms.anthropic import AnthropicMessagesRequest
+
+    request: Final = AnthropicMessagesRequest(
+        model="gpt-5.4",
+        max_tokens=64,
+        messages=[{"role": "user", "content": "What is the weather in Paris?"}],
+        tools=[{"name": "lookup_weather", "input_schema": {"type": "object", "properties": {}}}],
+        tool_choice=tool_choice,
+    )
+
+    translated, _ = LiteLLMAnthropicMessagesAdapter().translate_anthropic_to_openai(request)
+
+    assert translated.get("parallel_tool_calls") == expected_parallel_tool_calls
diff --git a/tests/unit/llms/anthropic/messages/responses_adapters/test_responses_adapters_transformation.py b/tests/unit/llms/anthropic/messages/responses_adapters/test_responses_adapters_transformation.py
index ece0cf5d423..ba6410fd970 100644
--- a/tests/unit/llms/anthropic/messages/responses_adapters/test_responses_adapters_transformation.py
+++ b/tests/unit/llms/anthropic/messages/responses_adapters/test_responses_adapters_transformation.py
@@ -1178,6 +1178,22 @@ class TestTranslateRequestBroaderCoverage:
         kwargs = _ADAPTER.translate_request(req)
         assert kwargs["tool_choice"] == {"type": "function", "name": "do_thing"}
 
+    @pytest.mark.parametrize(
+        ("tool_choice", "expected_parallel_tool_calls"),
+        [
+            ({"type": "auto", "disable_parallel_tool_use": True}, False),
+            ({"type": "any", "disable_parallel_tool_use": True}, False),
+            ({"type": "auto", "disable_parallel_tool_use": False}, None),
+            ({"type": "auto"}, None),
+        ],
+    )
+    def test_disable_parallel_tool_use_sets_parallel_tool_calls(
+        self, tool_choice: dict[str, object], expected_parallel_tool_calls: bool | None
+    ):
+        req = _make_request(tools=[{"name": "do_thing"}], tool_choice=tool_choice)
+        kwargs = _ADAPTER.translate_request(req)
+        assert kwargs.get("parallel_tool_calls") == expected_parallel_tool_calls
+
     def test_thinking_translated_to_reasoning(self):
         req = _make_request(thinking={"type": "enabled", "budget_tokens": 12000})
         kwargs = _ADAPTER.translate_request(req)