diff --git a/litellm/llms/azure/responses/transformation.py b/litellm/llms/azure/responses/transformation.py
index 2a1c2a8555f..44ce368fd49 100644
--- a/litellm/llms/azure/responses/transformation.py
+++ b/litellm/llms/azure/responses/transformation.py
@@ -132,35 +132,6 @@ class AzureOpenAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
                     new_tools.append(tool)
             response_api_optional_request_params["tools"] = new_tools
 
-        # Azure Responses API expects context_management as an object with "strategies" key,
-        # and strategy items use "token_threshold" (not OpenAI's "compact_threshold").
-        # Inferred from Azure error messages; OpenAI uses array + compact_threshold.
-        # Ref: https://learn.microsoft.com/azure/ai-foundry/openai/reference
-        if "context_management" in response_api_optional_request_params:
-            cm = response_api_optional_request_params["context_management"]
-
-            def _normalize_strategy(item: Any) -> Dict[str, Any]:
-                if isinstance(item, dict):
-                    strategy = dict(item)
-                    if "compact_threshold" in strategy:
-                        strategy["token_threshold"] = strategy.pop(
-                            "compact_threshold"
-                        )
-                    return strategy
-                return item  # type: ignore
-
-            if isinstance(cm, list):
-                strategies = [_normalize_strategy(item) for item in cm]
-                response_api_optional_request_params["context_management"] = {
-                    "strategies": strategies
-                }
-            elif isinstance(cm, dict) and "strategies" in cm:
-                strategies = [_normalize_strategy(s) for s in cm["strategies"]]
-                response_api_optional_request_params["context_management"] = {
-                    **cm,
-                    "strategies": strategies,
-                }
-
         return super().transform_responses_api_request(
             model=stripped_model_name,
             input=input,
diff --git a/tests/test_litellm/llms/azure/response/test_azure_transformation.py b/tests/test_litellm/llms/azure/response/test_azure_transformation.py
index 905b31a7c62..f54724b859f 100644
--- a/tests/test_litellm/llms/azure/response/test_azure_transformation.py
+++ b/tests/test_litellm/llms/azure/response/test_azure_transformation.py
@@ -492,50 +492,3 @@ class TestAzureResponsesAPIConfig:
         )
 
         assert "tools" not in response_api_params
-
-    def test_azure_responses_api_context_management_array_to_object(self):
-        """Test that context_management array is converted to object format for Azure.
-
-        Azure Responses API expects context_management as an object with 'strategies' key,
-        but litellm/OpenAI uses array format [{"type": "compaction", "compact_threshold": N}].
-        """
-        from litellm.types.router import GenericLiteLLMParams
-
-        context_management = [
-            {"type": "compaction", "compact_threshold": 200000}
-        ]
-        response_api_params = {"context_management": context_management}
-        litellm_params = GenericLiteLLMParams()
-
-        result = self.config.transform_responses_api_request(
-            model=self.model,
-            input="test input",
-            response_api_optional_request_params=response_api_params,
-            litellm_params=litellm_params,
-            headers={},
-        )
-
-        assert "context_management" in result
-        assert result["context_management"] == {
-            "strategies": [{"type": "compaction", "token_threshold": 200000}]
-        }
-
-    def test_azure_responses_api_context_management_already_object(self):
-        """Test that context_management in object format has compact_threshold mapped to token_threshold."""
-        from litellm.types.router import GenericLiteLLMParams
-
-        context_management = {"strategies": [{"type": "compaction", "compact_threshold": 200000}]}
-        response_api_params = {"context_management": context_management}
-        litellm_params = GenericLiteLLMParams()
-
-        result = self.config.transform_responses_api_request(
-            model=self.model,
-            input="test input",
-            response_api_optional_request_params=response_api_params,
-            litellm_params=litellm_params,
-            headers={},
-        )
-
-        assert result["context_management"] == {
-            "strategies": [{"type": "compaction", "token_threshold": 200000}]
-        }