diff --git a/litellm/llms/sap/chat/transformation.py b/litellm/llms/sap/chat/transformation.py
index 622c28f3c90..0efb3848a17 100755
--- a/litellm/llms/sap/chat/transformation.py
+++ b/litellm/llms/sap/chat/transformation.py
@@ -349,7 +349,9 @@ class GenAIHubOrchestrationConfig(OpenAIGPTConfig):
             if "delimiters" in stream_options:
                 stream_config["delimiters"] = stream_options["delimiters"]
 
-        optional_params.pop("tool_choice", None)
+        # tool_choice is forwarded via model.params for Anthropic and GPT models
+        if not model.startswith(("anthropic", "gpt")):
+            optional_params.pop("tool_choice", None)
 
         modules: Final = [
             self._build_prompt_module(
diff --git a/tests/unit/llms/sap/chat/test_sap_transformation.py b/tests/unit/llms/sap/chat/test_sap_transformation.py
index 41e75b7bfc7..657d17a9509 100644
--- a/tests/unit/llms/sap/chat/test_sap_transformation.py
+++ b/tests/unit/llms/sap/chat/test_sap_transformation.py
@@ -641,6 +641,38 @@ class TestSAPTransformationIntegration:
                 == "sap_document_translation"
             )
 
+    @pytest.mark.parametrize("model", ["anthropic--claude-4.5-sonnet", "gpt-4o"])
+    @pytest.mark.parametrize(
+        "tool_choice",
+        ["auto", "required", {"type": "function", "function": {"name": "get_pump"}}],
+    )
+    def test_tool_choice_forwarded_in_model_params(
+        self, mock_config, model, tool_choice
+    ):
+        result = mock_config.transform_request(
+            model=model,
+            messages=[{"role": "user", "content": "Hello"}],
+            optional_params={
+                "tools": [
+                    {
+                        "type": "function",
+                        "function": {
+                            "name": "get_pump",
+                            "parameters": {"type": "object", "properties": {}},
+                        },
+                    }
+                ],
+                "tool_choice": tool_choice,
+            },
+            litellm_params={},
+            headers={},
+        )
+
+        model_params = result["config"]["modules"]["prompt_templating"]["model"][
+            "params"
+        ]
+        assert model_params["tool_choice"] == tool_choice
+
 
 class TestCacheControl:
     """Unit tests for cache_control preservation on message content parts."""