diff --git a/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py b/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py
index 619323e90734..9e18dfbb6566 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/pangea/pangea.py
@@ -111,7 +111,7 @@ async def _call_pangea_ai_guard(
         should act on.
 
         Args:
-            api (str): Which API to use (text/guard or v1beta/guard)
+            api (str): Which API to use (text/guard or v1/guard)
             payload (dict): The request payload.
             request_data (dict): Original request data (used for logging/headers).
             hook_name (str): Name of the hook calling this function (for logging).
@@ -163,7 +163,7 @@ async def _async_pre_call_hook(
         user_api_key_dict: UserAPIKeyAuth,
         cache: DualCache,
         data: dict,
-        call_type: str
+        call_type: str,
     ):
         transformer = None
         messages: Any = None
@@ -173,19 +173,23 @@ async def _async_pre_call_hook(
         else:
             messages = data.get("messages")
 
+        input_dict = {
+            "messages": messages,  # type: ignore
+        }
+        if data.get("tools"):
+            input_dict["tools"] = data.get("tools")
+
         ai_guard_payload = {
             "debug": False,
-            "input": {
-                "messages": messages,  # type: ignore
-                "tools": data.get("tools")
-            },
+            "input": input_dict,
             "event_type": "input",
         }
+
         if self.pangea_input_recipe:
             ai_guard_payload["recipe"] = self.pangea_input_recipe
 
         ai_guard_response = await self._call_pangea_ai_guard(
-            "v1beta/guard", ai_guard_payload, "async_pre_call_hook"
+            "v1/guard", ai_guard_payload, "async_pre_call_hook"
         )
         add_guardrail_to_applied_guardrails_header(
             request_data=data, guardrail_name=self.guardrail_name
@@ -196,12 +200,11 @@ async def _async_pre_call_hook(
 
         output = ai_guard_response.get("result", {}).get("output", {})
         if call_type == "text_completion" or call_type == "atext_completion":
-            data = transformer.update_original_body(output["messages"]) # type: ignore
+            data = transformer.update_original_body(output["messages"])  # type: ignore
         else:
             data["messages"] = output["messages"]
         return data
 
-
     @log_guardrail_information
     async def async_pre_call_hook(
         self,
@@ -218,7 +221,9 @@ async def async_pre_call_hook(
             return data
 
         try:
-            return await self._async_pre_call_hook(user_api_key_dict, cache, data, call_type)
+            return await self._async_pre_call_hook(
+                user_api_key_dict, cache, data, call_type
+            )
         except HTTPException:
             raise
         except Exception as e:
@@ -228,7 +233,7 @@ async def async_pre_call_hook(
                     "error": "Error in Pangea Guardrail",
                     "guardrail_name": self.guardrail_name,
                     "exceptions": str(e),
-                }
+                },
             ) from e
 
     async def _async_post_call_success_hook(
@@ -259,13 +264,16 @@ async def _async_post_call_success_hook(
                         serialized_choices.append(c)
                 choices = serialized_choices
 
+        input_dict = {
+            "messages": input_messages,
+            "choices": choices,
+        }
+        if data.get("tools"):
+            input_dict["tools"] = data.get("tools")
+
         ai_guard_payload = {
             "debug": False,
-            "input": {
-                "messages": input_messages,
-                "tools": data.get("tools"),
-                "choices": choices,
-            },
+            "input": input_dict,
             "event_type": "output",
         }
 
@@ -273,7 +281,7 @@ async def _async_post_call_success_hook(
             ai_guard_payload["recipe"] = self.pangea_output_recipe
 
         ai_guard_response = await self._call_pangea_ai_guard(
-            "v1beta/guard", ai_guard_payload, "async_pre_call_hook"
+            "v1/guard", ai_guard_payload, "async_pre_call_hook"
         )
         add_guardrail_to_applied_guardrails_header(
             request_data=data, guardrail_name=self.guardrail_name
@@ -309,7 +317,9 @@ async def async_post_call_success_hook(
             )
             return data
         try:
-            return await self._async_post_call_success_hook(data, user_api_key_dict, response)
+            return await self._async_post_call_success_hook(
+                data, user_api_key_dict, response
+            )
         except HTTPException:
             raise
         except Exception as e:
@@ -319,7 +329,7 @@ async def async_post_call_success_hook(
                     "error": "Error in Pangea Guardrail",
                     "guardrail_name": self.guardrail_name,
                     "exceptions": str(e),
-                }
+                },
             ) from e
 
     @staticmethod