diff --git a/litellm/utils.py b/litellm/utils.py
index 0d44749a44..f1ccdbfc1a 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -122,14 +122,30 @@ class FunctionCall(OpenAIObject):
     arguments: str
     name: str
 
+class Function(OpenAIObject):
+    arguments: str
+    name: str
+
+class ChatCompletionMessageToolCall(OpenAIObject):
+    id: str
+    function: Function
+    type: str
+
 class Message(OpenAIObject):
-    def __init__(self, content="default", role="assistant", logprobs=None, function_call=None, **params):
+    def __init__(self, content="default", role="assistant", logprobs=None, function_call=None, tool_calls=None, **params):
         super(Message, self).__init__(**params)
         self.content = content
         self.role = role
-        self._logprobs = logprobs
-        if function_call: 
+        if function_call is not None: 
             self.function_call = FunctionCall(**function_call)
+        if tool_calls is not None:
+            self.tool_calls = []
+            for tool_call in tool_calls:
+                self.tool_calls.append(
+                    ChatCompletionMessageToolCall(**tool_call)
+                )
+        if logprobs is not None:
+            self._logprobs = logprobs  
 
     def get(self, key, default=None):
         # Custom .get() method to access attributes with a default value if the attribute doesn't exist
@@ -519,7 +535,7 @@ class Logging:
             curl_command += "curl -X POST \\\n"
             curl_command += f"{api_base} \\\n"
             curl_command += f"{formatted_headers} \\\n" if formatted_headers.strip() != "" else ""
-            curl_command += f"-d '{json.dumps(data)}'\n"
+            curl_command += f"-d '{str(data)}'\n"
             if api_base == "":
                 curl_command = self.model_call_details
 
@@ -3060,7 +3076,12 @@ def convert_to_model_response_object(response_object: Optional[dict]=None, model
                 raise Exception("Error in response object format")
             choice_list=[]
             for idx, choice in enumerate(response_object["choices"]): 
-                message = Message(content=choice["message"].get("content", None), role=choice["message"]["role"], function_call=choice["message"].get("function_call", None))
+                message = Message(
+                    content=choice["message"].get("content", None), 
+                    role=choice["message"]["role"], 
+                    function_call=choice["message"].get("function_call", None), 
+                    tool_calls=choice["message"].get("tool_calls", None)
+                )
                 finish_reason = choice.get("finish_reason", None)
                 if finish_reason == None:
                     # gpt-4 vision can return 'finish_reason' or 'finish_details'
@@ -3075,6 +3096,9 @@ def convert_to_model_response_object(response_object: Optional[dict]=None, model
             if "id" in response_object: 
                 model_response_object.id = response_object["id"]
             
+            if "system_fingerprint" in response_object:
+                model_response_object.system_fingerprint = response_object["system_fingerprint"]
+
             if "model" in response_object: 
                 model_response_object.model = response_object["model"]
             return model_response_object