diff --git a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
new file mode 100644
index 0000000000..81bf4fd5e7
--- /dev/null
+++ b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
@@ -0,0 +1,102 @@
+"""
+Helper utilities for tracking the cost of built-in tools.
+"""
+
+from typing import Any, Dict, Optional
+
+import litellm
+from litellm.types.llms.openai import WebSearchOptions
+from litellm.types.utils import (
+    ModelInfo,
+    ModelResponse,
+    SearchContextCostPerQuery,
+    StandardBuiltInToolsParams,
+)
+
+
+class StandardBuiltInToolCostTracking:
+    """
+    Helper class for tracking the cost of built-in tools
+
+    Example: Web Search
+    """
+
+    @staticmethod
+    def get_cost_for_built_in_tools(
+        model: str,
+        response_object: Any,
+        custom_llm_provider: Optional[str] = None,
+        standard_built_in_tools_params: Optional[StandardBuiltInToolsParams] = None,
+    ) -> float:
+        """
+        Get the cost of using built-in tools.
+
+        Supported tools:
+        - Web Search
+
+        """
+        model_info = litellm.get_model_info(
+            model=model, custom_llm_provider=custom_llm_provider
+        )
+        if isinstance(response_object, ModelResponse):
+            if (
+                standard_built_in_tools_params is not None
+                and standard_built_in_tools_params.get("web_search_options", None)
+                is not None
+            ):
+                return StandardBuiltInToolCostTracking.get_cost_for_web_search(
+                    web_search_options=standard_built_in_tools_params.get(
+                        "web_search_options", None
+                    ),
+                    model_info=model_info,
+                )
+        # elif isinstance(response_object, ResponsesAPIResponse):
+        #     if response_object.web_search_options is not None:
+        #         return 0.0
+        return 0.0
+
+    @staticmethod
+    def get_cost_for_web_search(
+        web_search_options: Optional[WebSearchOptions] = None,
+        model_info: Optional[ModelInfo] = None,
+    ) -> float:
+        """
+        If request includes `web_search_options`, calculate the cost of the web search.
+        """
+        if web_search_options is None:
+            return 0.0
+        if model_info is None:
+            return 0.0
+
+        search_context_pricing: SearchContextCostPerQuery = (
+            model_info.get("search_context_cost_per_query", {}) or {}
+        )
+        if web_search_options.get("search_context_size", None) == "low":
+            return search_context_pricing.get("search_context_size_low", 0.0)
+        elif web_search_options.get("search_context_size", None) == "medium":
+            return search_context_pricing.get("search_context_size_medium", 0.0)
+        elif web_search_options.get("search_context_size", None) == "high":
+            return search_context_pricing.get("search_context_size_high", 0.0)
+        else:
+            return 0.0
+
+    @staticmethod
+    def response_includes_annotations(response_object: ModelResponse) -> bool:
+        for _choice in response_object.choices:
+            message = getattr(_choice, "message", None)
+            if message is not None and hasattr(message, "annotations"):
+                return True
+        return False
+
+    @staticmethod
+    def _get_web_search_options(kwargs: Dict) -> Optional[WebSearchOptions]:
+        if "web_search_options" in kwargs:
+            return WebSearchOptions(**kwargs.get("web_search_options", {}))
+        if "tools" in kwargs:
+            tools = kwargs.get("tools", [])
+            # Look for web search tool in the tools array
+            for tool in tools:
+                if isinstance(tool, dict):
+                    if "search_context_size" in tool:
+                        return WebSearchOptions(**tool)
+        return None