diff --git a/litellm/llms/base_llm/responses/transformation.py b/litellm/llms/base_llm/responses/transformation.py
index 27b0a439c72..76b0a5b329d 100644
--- a/litellm/llms/base_llm/responses/transformation.py
+++ b/litellm/llms/base_llm/responses/transformation.py
@@ -1,8 +1,13 @@
 import types
 from abc import ABC, abstractmethod
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Optional, Union
 
-from litellm.types.llms.openai import ResponsesAPIRequestParams
+from litellm.types.llms.openai import (
+    ResponseInputParam,
+    ResponsesAPIOptionalRequestParams,
+    ResponsesAPIRequestParams,
+)
+from litellm.types.router import GenericLiteLLMParams
 from litellm.types.utils import ModelInfo
 
 from ..chat.transformation import BaseLLMException
@@ -48,7 +53,7 @@ class BaseResponsesAPIConfig(ABC):
         optional_params: dict,
         model: str,
         drop_params: bool,
-    ) -> ResponsesAPIRequestParams:
+    ) -> ResponsesAPIOptionalRequestParams:
 
         pass
 
@@ -66,7 +71,6 @@ class BaseResponsesAPIConfig(ABC):
         self,
         api_base: Optional[str],
         model: str,
-        optional_params: dict,
         stream: Optional[bool] = None,
     ) -> str:
         """
@@ -80,15 +84,16 @@ class BaseResponsesAPIConfig(ABC):
             raise ValueError("api_base is required")
         return api_base
 
-    # @abstractmethod
-    # def transform_request(
-    #     self,
-    #     model: str,
-    #     optional_params: dict,
-    #     litellm_params: dict,
-    #     headers: dict,
-    # ) -> dict:
-    #     pass
+    @abstractmethod
+    def transform_request(
+        self,
+        model: str,
+        input: Union[str, ResponseInputParam],
+        response_api_optional_request_params: ResponsesAPIOptionalRequestParams,
+        litellm_params: GenericLiteLLMParams,
+        headers: dict,
+    ) -> ResponsesAPIRequestParams:
+        pass
 
     # @abstractmethod
     # def transform_response(
diff --git a/litellm/llms/openai/responses/transformation.py b/litellm/llms/openai/responses/transformation.py
index 7c52679e7f9..d67846e1010 100644
--- a/litellm/llms/openai/responses/transformation.py
+++ b/litellm/llms/openai/responses/transformation.py
@@ -1,9 +1,14 @@
-from typing import Optional
+from typing import Optional, Union
 
 import litellm
 from litellm.llms.base_llm.responses.transformation import BaseResponsesAPIConfig
 from litellm.secret_managers.main import get_secret_str
-from litellm.types.llms.openai import ResponsesAPIRequestParams
+from litellm.types.llms.openai import (
+    ResponseInputParam,
+    ResponsesAPIOptionalRequestParams,
+    ResponsesAPIRequestParams,
+)
+from litellm.types.router import GenericLiteLLMParams
 
 
 class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
@@ -41,9 +46,9 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
         optional_params: dict,
         model: str,
         drop_params: bool,
-    ) -> ResponsesAPIRequestParams:
+    ) -> ResponsesAPIOptionalRequestParams:
 
-        return ResponsesAPIRequestParams(
+        return ResponsesAPIOptionalRequestParams(
             include=optional_params.get("include"),
             instructions=optional_params.get("instructions"),
             max_output_tokens=optional_params.get("max_output_tokens"),
@@ -66,6 +71,18 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
             timeout=optional_params.get("timeout"),
         )
 
+    def transform_request(
+        self,
+        model: str,
+        input: Union[str, ResponseInputParam],
+        response_api_optional_request_params: ResponsesAPIOptionalRequestParams,
+        litellm_params: GenericLiteLLMParams,
+        headers: dict,
+    ) -> ResponsesAPIRequestParams:
+        return ResponsesAPIRequestParams(
+            model=model, input=input, **response_api_optional_request_params
+        )
+
     def validate_environment(
         self,
         headers: dict,
@@ -89,7 +106,6 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
         self,
         api_base: Optional[str],
         model: str,
-        optional_params: dict,
         stream: Optional[bool] = None,
     ) -> str:
         """
diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py
index 9b6581773d6..1b521ece9d4 100644
--- a/litellm/types/llms/openai.py
+++ b/litellm/types/llms/openai.py
@@ -695,11 +695,9 @@ OpenAIAudioTranscriptionOptionalParams = Literal[
 OpenAIImageVariationOptionalParams = Literal["n", "size", "response_format", "user"]
 
 
-class ResponsesAPIRequestParams(TypedDict, total=False):
-    """TypedDict for parameters supported by the responses API."""
+class ResponsesAPIOptionalRequestParams(TypedDict, total=False):
+    """TypedDict for Optional parameters supported by the responses API."""
 
-    input: Union[str, ResponseInputParam]
-    model: str
     include: Optional[List[ResponseIncludable]]
     instructions: Optional[str]
     max_output_tokens: Optional[int]
@@ -720,3 +718,10 @@ class ResponsesAPIRequestParams(TypedDict, total=False):
     extra_query: Optional[Dict[str, Any]]
     extra_body: Optional[Dict[str, Any]]
     timeout: Optional[Union[float, httpx.Timeout]]
+
+
+class ResponsesAPIRequestParams(ResponsesAPIOptionalRequestParams, total=False):
+    """TypedDict for request parameters supported by the responses API."""
+
+    input: Union[str, ResponseInputParam]
+    model: str