diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
index 4b6617fbeac..7b640d28ebc 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
@@ -742,6 +742,7 @@ class LiteLLMAnthropicMessagesAdapter:
             "input_schema",
             "description",
             "cache_control",
+            "strict",
             "type",
         ]
 
@@ -771,6 +772,8 @@ class LiteLLMAnthropicMessagesAdapter:
                 function_chunk["parameters"] = tool["input_schema"]  # type: ignore
             if "description" in tool:
                 function_chunk["description"] = tool["description"]  # type: ignore
+            if "strict" in tool:
+                function_chunk["strict"] = tool["strict"]
 
             for k, v in tool.items():
                 if k not in mapped_tool_params:  # pass additional computer kwargs
diff --git a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py
index 172e54de98e..4e7ed5618ad 100644
--- a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py
@@ -187,7 +187,11 @@ class LiteLLMAnthropicToResponsesAPIAdapter:
             if (isinstance(tool_type, str) and tool_type.startswith("web_search")) or tool_name == "web_search":
                 result.append({"type": "web_search_preview"})
                 continue
-            func_tool: Dict[str, Any] = {"type": "function", "name": tool_name}
+            func_tool: Dict[str, Any] = {
+                "type": "function",
+                "name": tool_name,
+                "strict": tool_dict.get("strict", False),
+            }
             if "description" in tool_dict:
                 func_tool["description"] = tool_dict["description"]
             if "input_schema" in tool_dict:
diff --git a/litellm/types/llms/anthropic.py b/litellm/types/llms/anthropic.py
index c24d072217a..a0bd525cebd 100644
--- a/litellm/types/llms/anthropic.py
+++ b/litellm/types/llms/anthropic.py
@@ -47,6 +47,7 @@ class AnthropicMessagesTool(TypedDict, total=False):
     name: Required[str]
     description: str
     input_schema: Optional[AnthropicInputSchema]
+    strict: bool
     type: Literal["custom"]
     cache_control: Optional[Union[dict, ChatCompletionCachedContent]]
     defer_loading: bool
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
index dfe7e0c3a51..9af2123a998 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
@@ -3147,3 +3147,27 @@ def test_translate_anthropic_tools_to_openai_preserves_parameters_type():
     params = new_tools[0]["function"]["parameters"]
     assert params["type"] == "object"
     assert new_tools[0]["type"] == "function"
+
+
+def test_translate_anthropic_tools_to_openai_preserves_top_level_strict():
+    """Anthropic strict validation must remain a function-level option."""
+    adapter = LiteLLMAnthropicMessagesAdapter()
+    tools = [
+        {
+            "type": "custom",
+            "name": "get_weather",
+            "strict": True,
+            "input_schema": {
+                "type": "object",
+                "properties": {"city": {"type": "string"}},
+                "required": ["city"],
+                "additionalProperties": False,
+            },
+        }
+    ]
+
+    new_tools, _ = adapter.translate_anthropic_tools_to_openai(tools=tools)
+
+    function = new_tools[0]["function"]
+    assert function["strict"] is True
+    assert "strict" not in function["parameters"]
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py
index 606ff39b35e..723043e6be1 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py
@@ -502,6 +502,7 @@ class TestTranslateToolsToResponsesAPI:
             {
                 "type": "function",
                 "name": "get_weather",
+                "strict": False,
                 "description": "Get current weather for a city.",
                 "parameters": {
                     "type": "object",
@@ -511,6 +512,57 @@ class TestTranslateToolsToResponsesAPI:
             }
         ]
 
+    def test_tool_with_optional_properties_disables_responses_strict_default(self):
+        """Responses must not promote optional Anthropic properties to required."""
+        tools = [
+            {
+                "name": "search",
+                "input_schema": {
+                    "type": "object",
+                    "properties": {
+                        "query": {"type": "string"},
+                        "cursor": {"type": "string"},
+                    },
+                    "required": ["query"],
+                    "additionalProperties": False,
+                },
+            }
+        ]
+
+        result = _ADAPTER.translate_tools_to_responses_api(tools)  # type: ignore[arg-type]
+
+        assert result[0]["strict"] is False
+        assert result[0]["parameters"]["required"] == ["query"]
+
+    def test_tool_preserves_explicit_strict_validation(self):
+        """Anthropic's explicit strict setting is forwarded to Responses."""
+        tools = [
+            {
+                "name": "search",
+                "strict": True,
+                "input_schema": {
+                    "type": "object",
+                    "properties": {"query": {"type": "string"}},
+                    "required": ["query"],
+                    "additionalProperties": False,
+                },
+            }
+        ]
+
+        result = _ADAPTER.translate_tools_to_responses_api(tools)  # type: ignore[arg-type]
+
+        assert result[0] == {
+            "type": "function",
+            "name": "search",
+            "strict": True,
+            "parameters": {
+                "type": "object",
+                "properties": {"query": {"type": "string"}},
+                "required": ["query"],
+                "additionalProperties": False,
+            },
+        }
+
     def test_tool_without_description(self):
         """Tool without a description omits the description key."""
         tools = [{"name": "ping", "input_schema": {"type": "object", "properties": {}}}]