diff --git a/litellm/__pycache__/main.cpython-311.pyc b/litellm/__pycache__/main.cpython-311.pyc
index 8fc681ffa..fda9a8790 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 a36ab177a..4021680ec 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 16d6bd29d..ec14064b0 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -218,7 +218,7 @@ def completion(
     ######## end of unpacking kwargs ###########
     args = locals()
     openai_params = ["functions", "function_call", "temperature", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "metadata"]
-    litellm_params = ["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", "metadata", "fallbacks"]
+    litellm_params = ["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", "metadata", "fallbacks"]
     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
     if mock_response:
diff --git a/litellm/tests/test_bad_params.py b/litellm/tests/test_bad_params.py
index 8cd1047af..9d3d65d41 100644
--- a/litellm/tests/test_bad_params.py
+++ b/litellm/tests/test_bad_params.py
@@ -48,7 +48,7 @@ def test_completion_invalid_param_cohere():
     try: 
         response = completion(model="command-nightly", messages=messages, top_p=1)
     except Exception as e: 
-        if "Function calling is not supported by this provider" in str(e): 
+        if "Unsupported parameters passed: top_p" in str(e): 
             pass
         else: 
             pytest.fail(f'An error occurred {e}')
diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index 050152708..aa6c858f2 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -531,7 +531,7 @@ def test_completion_openai_with_more_optional_params():
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
 
-
+test_completion_openai_with_more_optional_params()
 # def test_completion_openai_azure_with_functions():
 #     function1 = [
 #         {
diff --git a/litellm/utils.py b/litellm/utils.py
index 9db751674..798ac457a 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -1209,7 +1209,7 @@ def get_optional_params(  # use the openai defaults
         if top_p:
             optional_params["top_p"] = top_p
     else:  # assume passing in params for openai/azure openai
-        supported_params = ["functions", "function_call", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_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", "deployment_id"]
         _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