diff --git a/litellm/llms/prompt_templates/factory.py b/litellm/llms/prompt_templates/factory.py
index b23f1031510..abe340e7d10 100644
--- a/litellm/llms/prompt_templates/factory.py
+++ b/litellm/llms/prompt_templates/factory.py
@@ -604,13 +604,13 @@ def convert_to_anthropic_tool_result(message: dict) -> str:
 def convert_to_anthropic_tool_invoke(tool_calls: list) -> str:
     invokes = ""
     for tool in tool_calls:
-        if tool["type"] != "function":
+        if tool.type != "function":
             continue
 
-        tool_name = tool["function"]["name"]
+        tool_name = tool.function.name
         parameters = "".join(
             f"<{param}>{val}</{param}>\n"
-            for param, val in json.loads(tool["function"]["arguments"]).items()
+            for param, val in json.loads(tool.function.arguments).items()
         )
         invokes += (
             "<invoke>\n"
diff --git a/litellm/utils.py b/litellm/utils.py
index a8c0031812e..57327473d88 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -271,7 +271,10 @@ class Message(OpenAIObject):
         if tool_calls is not None:
             self.tool_calls = []
             for tool_call in tool_calls:
-                self.tool_calls.append(ChatCompletionMessageToolCall(**tool_call))
+                if isinstance(tool_call, dict):
+                    self.tool_calls.append(ChatCompletionMessageToolCall(**tool_call))
+                else:
+                    self.tool_calls.append(tool_call)
 
         if logprobs is not None:
             self._logprobs = logprobs