diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index 585454f944..af8185aa21 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -31,6 +31,7 @@ from litellm.llms.base_llm.bridges.completion_transformation import (
     CompletionTransformationBridge,
 )
 from litellm.types.llms.openai import (
+    ChatCompletionAnnotation,
     ChatCompletionToolParamFunctionChunk,
     Reasoning,
     ResponsesAPIOptionalRequestParams,
@@ -778,7 +779,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
     @staticmethod
     def _convert_annotations_to_chat_format(
         annotations: Optional[List[Any]],
-    ) -> Optional[List[Dict[str, Any]]]:
+    ) -> Optional[List["ChatCompletionAnnotation"]]:
         """
         Convert annotations from Responses API to Chat Completions format.
         
@@ -788,7 +789,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
         if not annotations:
             return None
 
-        result: List[Dict[str, Any]] = []
+        result: List[ChatCompletionAnnotation] = []
         for annotation in annotations:
             try:
                 # Convert Pydantic models to dicts (handles both v1 and v2)
@@ -803,7 +804,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
                     verbose_logger.debug(f"Skipping unsupported annotation type: {type(annotation)}")
                     continue
 
-                result.append(annotation_dict)
+                result.append(annotation_dict)  # type: ignore
             except Exception as e:
                 # Skip malformed annotations
                 verbose_logger.debug(f"Skipping malformed annotation: {annotation}, error: {e}")