diff --git a/litellm/litellm_core_utils/token_counter.py b/litellm/litellm_core_utils/token_counter.py
index a99bd1cd0f3..6b9e51034c0 100644
--- a/litellm/litellm_core_utils/token_counter.py
+++ b/litellm/litellm_core_utils/token_counter.py
@@ -706,7 +706,7 @@ def _count_content_list(
             if isinstance(c, str):
                 num_tokens += count_function(c)
             elif c["type"] == "text":
-                num_tokens += count_function(c.get("text", ""))
+                num_tokens += count_function(str(c.get("text", "")))
             elif c["type"] == "image_url":
                 image_url = c.get("image_url")
                 num_tokens += _count_image_tokens(
@@ -722,7 +722,7 @@ def _count_content_list(
             elif c["type"] == "thinking":
                 # Claude extended thinking content block
                 # Count the thinking text and skip signature (opaque signature blob)
-                thinking_text = c.get("thinking", "")
+                thinking_text = str(c.get("thinking", ""))
                 if thinking_text:
                     num_tokens += count_function(thinking_text)
             else:
diff --git a/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py b/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py
index ca3e6a90801..55c7e72c36f 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py
@@ -1,6 +1,6 @@
 # litellm/proxy/guardrails/guardrail_hooks/pangea.py
 import os
-from typing import TYPE_CHECKING, Any, Optional, Type
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Type, cast
 
 from fastapi import HTTPException
 
@@ -250,10 +250,13 @@ async def _async_post_call_success_hook(
         if isinstance(response, TextCompletionResponse):
             # Assume the earlier call type as well
             input_messages = _TextCompletionRequest(data).get_messages()
-        if not isinstance(response, ModelResponse):
-            return
+        elif isinstance(response, ModelResponse):
+            messages = data.get("messages")
+            if messages is None:
+                return  # No messages to check
+            input_messages = cast(List[Dict[Any, Any]], messages)
         else:
-            input_messages = data.get("messages")
+            return
 
         if choices := response.get("choices"):
             if isinstance(choices, list):
diff --git a/litellm/responses/litellm_completion_transformation/handler.py b/litellm/responses/litellm_completion_transformation/handler.py
index 7e0b4cfa243..74ad6675e1d 100644
--- a/litellm/responses/litellm_completion_transformation/handler.py
+++ b/litellm/responses/litellm_completion_transformation/handler.py
@@ -90,6 +90,7 @@ def response_api_handler(
                 custom_llm_provider=custom_llm_provider,
                 litellm_metadata=kwargs.get("litellm_metadata", {}),
             )
+        raise ValueError(f"Unexpected response type: {type(litellm_completion_response)}")
 
     async def async_response_api_handler(
         self,
@@ -140,3 +141,4 @@ async def async_response_api_handler(
                 ),
                 litellm_metadata=kwargs.get("litellm_metadata", {}),
             )
+        raise ValueError(f"Unexpected response type: {type(litellm_completion_response)}")