diff --git a/litellm/main.py b/litellm/main.py
index d5de2c81a5..0b11477482 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -301,7 +301,7 @@ def completion(
     eos_token = kwargs.get("eos_token", None)
     acompletion = kwargs.get("acompletion", False)
     ######## end of unpacking kwargs ###########
-    openai_params = ["functions", "function_call", "temperature", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "request_timeout", "api_base", "api_version", "api_key"]
+    openai_params = ["functions", "function_call", "temperature", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "request_timeout", "api_base", "api_version", "api_key", "deployment_id"]
     litellm_params = ["metadata", "acompletion", "caching", "return_async", "mock_response", "api_key", "api_version", "api_base", "force_timeout", "logger_fn", "verbose", "custom_llm_provider", "litellm_logging_obj", "litellm_call_id", "use_client", "id", "fallbacks", "azure", "headers", "model_list", "num_retries", "context_window_fallback_dict", "roles", "final_prompt_value", "bos_token", "eos_token", "request_timeout", "complete_response"]
     default_params = openai_params + litellm_params
     non_default_params = {k: v for k,v in kwargs.items() if k not in default_params} # model-specific params - pass them straight to the model/provider
@@ -366,7 +366,6 @@ def completion(
                 frequency_penalty=frequency_penalty,
                 logit_bias=logit_bias,
                 user=user,
-                deployment_id=deployment_id,
                 # params to identify the model
                 model=model,
                 custom_llm_provider=custom_llm_provider,
diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index b5f10dda91..8d97d6aa8e 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -445,7 +445,7 @@ def test_completion_openai_litellm_key():
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
 
-test_completion_openai_litellm_key()
+# test_completion_openai_litellm_key()
 
 def test_completion_openrouter1():
     try:
@@ -540,6 +540,8 @@ def test_completion_openai_with_more_optional_params():
             pytest.fail(f"Error occurred: {e}")
         if type(response_str_2) != str:
             pytest.fail(f"Error occurred: {e}")
+    except Timeout as e: 
+        pass
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
 
@@ -721,6 +723,7 @@ def test_completion_azure_with_litellm_key():
 
 def test_completion_azure_deployment_id():
     try:
+        litellm.set_verbose = True
         response = completion(
             deployment_id="chatgpt-v-2",
             model="gpt-3.5-turbo",
@@ -730,7 +733,7 @@ def test_completion_azure_deployment_id():
         print(response)
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
-# test_completion_azure_deployment_id()
+test_completion_azure_deployment_id()
 
 # Only works for local endpoint
 # def test_completion_anthropic_openai_proxy():
diff --git a/litellm/utils.py b/litellm/utils.py
index f1ef8e6c93..66ec0c5dfc 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -1363,7 +1363,6 @@ def get_optional_params(  # use the openai defaults
     frequency_penalty=0,
     logit_bias={},
     user="",
-    deployment_id=None,
     model=None,
     custom_llm_provider="",
     **kwargs
@@ -1386,7 +1385,6 @@ def get_optional_params(  # use the openai defaults
         "frequency_penalty":None,
         "logit_bias":{},
         "user":"",
-        "deployment_id":None,
         "model":None,
         "custom_llm_provider":"",
     }
@@ -1762,7 +1760,7 @@ def get_optional_params(  # use the openai defaults
         if stream:
             optional_params["stream"] = stream
     elif custom_llm_provider == "deepinfra":
-        supported_params = ["temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "deployment_id"]
+        supported_params = ["temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user"]
         _check_valid_arg(supported_params=supported_params)
         optional_params = non_default_params
         if temperature != None:
@@ -1770,7 +1768,7 @@ def get_optional_params(  # use the openai defaults
                 temperature = 0.0001 # close to 0
             optional_params["temperature"] = temperature
     else:  # assume passing in params for openai/azure openai
-        supported_params = ["functions", "function_call", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "deployment_id"]
+        supported_params = ["functions", "function_call", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user"]
         _check_valid_arg(supported_params=supported_params)
         optional_params = non_default_params
     # if user passed in non-default kwargs for specific providers/models, pass them along