diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
index 8e0f15e54ea..818627918ce 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
@@ -1331,7 +1331,7 @@ class LiteLLMAnthropicMessagesAdapter:
             openai_finish_reason=response.choices[0].finish_reason  # type: ignore
         )
         # extract usage
-        usage: Usage = response.usage
+        usage: Usage = response.usage  # type: ignore[attr-defined]
         uncached_input_tokens = usage.prompt_tokens or 0
         cached_tokens = 0
         if hasattr(usage, "prompt_tokens_details") and usage.prompt_tokens_details:
diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
index 6c255a69690..74223048a33 100644
--- a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
+++ b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py
@@ -48,8 +48,10 @@ def _should_route_to_responses_api(custom_llm_provider: Optional[str]) -> bool:
 
 
 def _sanitize_think_tag_text_blocks(
-    response: Union[AnthropicMessagesResponse, AsyncIterator]
-) -> Union[AnthropicMessagesResponse, AsyncIterator]:
+    response: Union[
+        AnthropicMessagesResponse, AsyncIterator[Any], Coroutine[Any, Any, Any]
+    ],
+) -> Union[AnthropicMessagesResponse, AsyncIterator[Any], Coroutine[Any, Any, Any]]:
     if not isinstance(response, dict):
         return response
 
@@ -57,7 +59,7 @@ def _sanitize_think_tag_text_blocks(
     if not isinstance(content, list):
         return response
 
-    sanitized_content: List[Dict[str, Any]] = []
+    sanitized_content: List[Any] = []
     for block in content:
         if not isinstance(block, dict):
             sanitized_content.append(block)
@@ -221,7 +223,7 @@ async def anthropic_messages(
     client: Optional[AsyncHTTPHandler] = None,
     custom_llm_provider: Optional[str] = None,
     **kwargs,
-) -> Union[AnthropicMessagesResponse, AsyncIterator]:
+) -> Union[AnthropicMessagesResponse, AsyncIterator[Any], Coroutine[Any, Any, Any]]:
     """
     Async: Make llm api request in Anthropic /messages API spec
     """