diff --git a/litellm/llms/openai.py b/litellm/llms/openai.py
index 4251c16506..2934440b9c 100644
--- a/litellm/llms/openai.py
+++ b/litellm/llms/openai.py
@@ -228,7 +228,7 @@ class OpenAIChatCompletion(BaseLLM):
                             url=api_base,
                             json=data,
                             headers=headers,
-                            timeout=litellm.request_timeout
+                            timeout=600 # Set a 10-minute timeout for both connection and read
                         )
                         if response.status_code != 200:
                             raise OpenAIError(status_code=response.status_code, message=response.text)
diff --git a/litellm/tests/test_custom_logger.py b/litellm/tests/test_custom_logger.py
index 5fda1596a5..ab0458e7cd 100644
--- a/litellm/tests/test_custom_logger.py
+++ b/litellm/tests/test_custom_logger.py
@@ -1,122 +1,122 @@
-### What this tests ####
-import sys
-import os
+# ### What this tests ####
+# import sys
+# import os
 
-sys.path.insert(0, os.path.abspath('../..'))
+# sys.path.insert(0, os.path.abspath('../..'))
 
-from litellm import completion, embedding
-import litellm
-from litellm.integrations.custom_logger import CustomLogger
+# from litellm import completion, embedding
+# import litellm
+# from litellm.integrations.custom_logger import CustomLogger
 
-class MyCustomHandler(CustomLogger):
-    def log_pre_api_call(self, model, messages, kwargs): 
-        print(f"Pre-API Call")
+# class MyCustomHandler(CustomLogger):
+#     def log_pre_api_call(self, model, messages, kwargs): 
+#         print(f"Pre-API Call")
     
-    def log_post_api_call(self, kwargs, response_obj, start_time, end_time): 
-        print(f"Post-API Call")
+#     def log_post_api_call(self, kwargs, response_obj, start_time, end_time): 
+#         print(f"Post-API Call")
     
-    def log_stream_event(self, kwargs, response_obj, start_time, end_time):
-        print(f"On Stream")
+#     def log_stream_event(self, kwargs, response_obj, start_time, end_time):
+#         print(f"On Stream")
         
-    def log_success_event(self, kwargs, response_obj, start_time, end_time): 
-        print(f"On Success")
+#     def log_success_event(self, kwargs, response_obj, start_time, end_time): 
+#         print(f"On Success")
 
-    def log_failure_event(self, kwargs, response_obj, start_time, end_time): 
-        print(f"On Failure")
+#     def log_failure_event(self, kwargs, response_obj, start_time, end_time): 
+#         print(f"On Failure")
 
-customHandler = MyCustomHandler()
+# customHandler = MyCustomHandler()
 
-def test_chat_openai():
-    try:
-        litellm.callbacks = [customHandler]
-        response = completion(model="gpt-3.5-turbo",
-                              messages=[{
-                                  "role": "user",
-                                  "content": "Hi 👋 - i'm openai"
-                              }],
-                              stream=True)
-        for chunk in response:
-            # print(chunk)
-            continue
-        # print(response)
+# def test_chat_openai():
+#     try:
+#         litellm.callbacks = [customHandler]
+#         response = completion(model="gpt-3.5-turbo",
+#                               messages=[{
+#                                   "role": "user",
+#                                   "content": "Hi 👋 - i'm openai"
+#                               }],
+#                               stream=True)
+#         for chunk in response:
+#             # print(chunk)
+#             continue
+#         # print(response)
 
-    except Exception as e:
-        print(e)
-        pass
+#     except Exception as e:
+#         print(e)
+#         pass
 
 
-test_chat_openai()
+# test_chat_openai()
 
 
 
 
 
-# def custom_callback(
-#         kwargs,
-#         completion_response,
-#         start_time,
-#         end_time,
-# ):
-#     print(
-#         "in custom callback func"
-#     )
-#     print("kwargs", kwargs)
-#     print(completion_response)
-#     print(start_time)
-#     print(end_time)
-#     if "complete_streaming_response" in kwargs:
-#         print("\n\n complete response\n\n")
-#         complete_streaming_response = kwargs["complete_streaming_response"]
-#         print(kwargs["complete_streaming_response"])
-#         usage = complete_streaming_response["usage"]
-#         print("usage", usage)
-# def send_slack_alert(
-#         kwargs,
-#         completion_response,
-#         start_time,
-#         end_time,
-# ):
-#     print(
-#         "in custom slack callback func"
-#     )
-#     import requests
-#     import json
+# # def custom_callback(
+# #         kwargs,
+# #         completion_response,
+# #         start_time,
+# #         end_time,
+# # ):
+# #     print(
+# #         "in custom callback func"
+# #     )
+# #     print("kwargs", kwargs)
+# #     print(completion_response)
+# #     print(start_time)
+# #     print(end_time)
+# #     if "complete_streaming_response" in kwargs:
+# #         print("\n\n complete response\n\n")
+# #         complete_streaming_response = kwargs["complete_streaming_response"]
+# #         print(kwargs["complete_streaming_response"])
+# #         usage = complete_streaming_response["usage"]
+# #         print("usage", usage)
+# # def send_slack_alert(
+# #         kwargs,
+# #         completion_response,
+# #         start_time,
+# #         end_time,
+# # ):
+# #     print(
+# #         "in custom slack callback func"
+# #     )
+# #     import requests
+# #     import json
 
-#     # Define the Slack webhook URL
-#     slack_webhook_url = os.environ['SLACK_WEBHOOK_URL']   # "https://hooks.slack.com/services/<>/<>/<>"
+# #     # Define the Slack webhook URL
+# #     slack_webhook_url = os.environ['SLACK_WEBHOOK_URL']   # "https://hooks.slack.com/services/<>/<>/<>"
 
-#     # Define the text payload, send data available in litellm custom_callbacks
-#     text_payload = f"""LiteLLM Logging: kwargs: {str(kwargs)}\n\n, response: {str(completion_response)}\n\n, start time{str(start_time)} end time: {str(end_time)}
-#     """
-#     payload = {
-#         "text": text_payload
-#     }
+# #     # Define the text payload, send data available in litellm custom_callbacks
+# #     text_payload = f"""LiteLLM Logging: kwargs: {str(kwargs)}\n\n, response: {str(completion_response)}\n\n, start time{str(start_time)} end time: {str(end_time)}
+# #     """
+# #     payload = {
+# #         "text": text_payload
+# #     }
 
-#     # Set the headers
-#     headers = {
-#         "Content-type": "application/json"
-#     }
+# #     # Set the headers
+# #     headers = {
+# #         "Content-type": "application/json"
+# #     }
 
-#     # Make the POST request
-#     response = requests.post(slack_webhook_url, json=payload, headers=headers)
+# #     # Make the POST request
+# #     response = requests.post(slack_webhook_url, json=payload, headers=headers)
 
-#     # Check the response status
-#     if response.status_code == 200:
-#         print("Message sent successfully to Slack!")
-#     else:
-#         print(f"Failed to send message to Slack. Status code: {response.status_code}")
-#         print(response.json())
+# #     # Check the response status
+# #     if response.status_code == 200:
+# #         print("Message sent successfully to Slack!")
+# #     else:
+# #         print(f"Failed to send message to Slack. Status code: {response.status_code}")
+# #         print(response.json())
 
-# def get_transformed_inputs(
-#     kwargs,
-# ):
-#     params_to_model = kwargs["additional_args"]["complete_input_dict"]
-#     print("params to model", params_to_model)
+# # def get_transformed_inputs(
+# #     kwargs,
+# # ):
+# #     params_to_model = kwargs["additional_args"]["complete_input_dict"]
+# #     print("params to model", params_to_model)
 
-# litellm.success_callback = [custom_callback, send_slack_alert]
-# litellm.failure_callback = [send_slack_alert]
+# # litellm.success_callback = [custom_callback, send_slack_alert]
+# # litellm.failure_callback = [send_slack_alert]
 
 
-# litellm.set_verbose = False
+# # litellm.set_verbose = False
 
-# # litellm.input_callback = [get_transformed_inputs]
+# # # litellm.input_callback = [get_transformed_inputs]