diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index 2f561e881af..8cecd270a3a 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -599,34 +599,34 @@ def test_completion_hf_model_no_provider():
 
 # test_completion_hf_model_no_provider()
 
-# def test_completion_openai_azure_with_functions():
-#     function1 = [
-#         {
-#             "name": "get_current_weather",
-#             "description": "Get the current weather in a given location",
-#             "parameters": {
-#                 "type": "object",
-#                 "properties": {
-#                     "location": {
-#                         "type": "string",
-#                         "description": "The city and state, e.g. San Francisco, CA",
-#                     },
-#                     "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
-#                 },
-#                 "required": ["location"],
-#             },
-#         }
-#     ]
-#     try:
-#         messages = [{"role": "user", "content": "What is the weather like in Boston?"}]
-#         response = completion(
-#             model="azure/chatgpt-functioncalling", messages=messages, functions=function1
-#         )
-#         # Add any assertions here to check the response
-#         print(response)
-#     except Exception as e:
-#         pytest.fail(f"Error occurred: {e}")
-# test_completion_openai_azure_with_functions()
+def test_completion_anyscale_with_functions():
+    function1 = [
+        {
+            "name": "get_current_weather",
+            "description": "Get the current weather in a given location",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "location": {
+                        "type": "string",
+                        "description": "The city and state, e.g. San Francisco, CA",
+                    },
+                    "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                },
+                "required": ["location"],
+            },
+        }
+    ]
+    try:
+        messages = [{"role": "user", "content": "What is the weather like in Boston?"}]
+        response = completion(
+            model="anyscale/mistralai/Mistral-7B-Instruct-v0.1", messages=messages, functions=function1
+        )
+        # Add any assertions here to check the response
+        print(response)
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")
+test_completion_anyscale_with_functions()
 
 def test_completion_azure_key_completion_arg():
     # this tests if we can pass api_key to completion, when it's not in the env 
diff --git a/litellm/utils.py b/litellm/utils.py
index b46ba5a9b36..53c9dce1789 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -2398,6 +2398,8 @@ def get_optional_params(  # use the openai defaults
                 optional_params["format"] = "json"
                 litellm.add_function_to_prompt = True # so that main.py adds the function call to the prompt
                 optional_params["functions_unsupported_model"] = non_default_params.pop("tools", non_default_params.pop("functions"))
+            elif custom_llm_provider == "anyscale" and model == "mistralai/Mistral-7B-Instruct-v0.1": # anyscale just supports function calling with mistral
+                pass
             elif litellm.add_function_to_prompt: # if user opts to add it to prompt instead
                 optional_params["functions_unsupported_model"] = non_default_params.pop("tools", non_default_params.pop("functions"))
             else: 
@@ -2825,7 +2827,9 @@ def get_optional_params(  # use the openai defaults
         if frequency_penalty: 
             optional_params["frequency_penalty"] = frequency_penalty
     elif custom_llm_provider == "anyscale":
-        supported_params = ["temperature", "top_p", "stream", "max_tokens"]
+        supported_params = ["temperature", "top_p", "stream", "max_tokens", "stop", "frequency_penalty", "presence_penalty"]
+        if model == "mistralai/Mistral-7B-Instruct-v0.1":
+            supported_params += ["functions", "function_call", "tools", "tool_choice"]
         _check_valid_arg(supported_params=supported_params)
         optional_params = non_default_params
         if temperature is not None: