diff --git a/litellm/__pycache__/main.cpython-311.pyc b/litellm/__pycache__/main.cpython-311.pyc
index 1fe305e417..e64d03b67d 100644
Binary files a/litellm/__pycache__/main.cpython-311.pyc and b/litellm/__pycache__/main.cpython-311.pyc differ
diff --git a/litellm/__pycache__/utils.cpython-311.pyc b/litellm/__pycache__/utils.cpython-311.pyc
index d3da8727b3..9f46f02db4 100644
Binary files a/litellm/__pycache__/utils.cpython-311.pyc and b/litellm/__pycache__/utils.cpython-311.pyc differ
diff --git a/litellm/main.py b/litellm/main.py
index f045ffb816..076e4c7f40 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -60,7 +60,9 @@ from litellm.utils import (
     ModelResponse,
     EmbeddingResponse,
     read_config_args,
-    RateLimitManager
+    RateLimitManager,
+    Choices, 
+    Message
 )
 
 ####### ENVIRONMENT VARIABLES ###################
@@ -509,8 +511,12 @@ def completion(
                 },
             )
             ## RESPONSE OBJECT
-            completion_response = response["choices"][0]["text"]
-            model_response["choices"][0]["message"]["content"] = completion_response
+            choices_list = []
+            for idx, item in enumerate(response["choices"]):
+                message_obj = Message(content=item["text"])
+                choice_obj = Choices(finish_reason=item["finish_reason"], index=idx+1, message=message_obj)
+                choices_list.append(choice_obj)
+            model_response["choices"] = choices_list
             model_response["created"] = response.get("created", time.time())
             model_response["model"] = model
             model_response["usage"] = response.get("usage", 0)
diff --git a/litellm/tests/test_provider_specific_config.py b/litellm/tests/test_provider_specific_config.py
index 9cf7ecb045..0e1ac9283f 100644
--- a/litellm/tests/test_provider_specific_config.py
+++ b/litellm/tests/test_provider_specific_config.py
@@ -498,6 +498,11 @@ def openai_text_completion_test():
         print(f"response_2_text: {response_2_text}")
 
         assert len(response_2_text) < len(response_1_text)
+
+        response_3 = litellm.completion(model="text-davinci-003", 
+                                                messages=[{ "content": "Hello, how are you?","role": "user"}],
+                                                n=2)
+        assert len(response_3.choices) > 1
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")