diff --git a/tests/local_testing/test_router_policy_violation.py b/tests/local_testing/test_router_policy_violation.py
deleted file mode 100644
index 1e72868db66..00000000000
--- a/tests/local_testing/test_router_policy_violation.py
+++ /dev/null
@@ -1,137 +0,0 @@
-#### What this tests ####
-# This tests if the router sends back a policy violation, without retries
-
-import sys, os, time
-import traceback, asyncio
-import pytest
-
-sys.path.insert(
-    0, os.path.abspath("../..")
-)  # Adds the parent directory to the system path
-
-import litellm
-from litellm import Router
-from litellm.integrations.custom_logger import CustomLogger
-
-
-class MyCustomHandler(CustomLogger):
-    success: bool = False
-    failure: bool = False
-    previous_models: int = 0
-
-    def log_pre_api_call(self, model, messages, kwargs):
-        print(f"Pre-API Call")
-        print(
-            f"previous_models: {kwargs['litellm_params']['metadata']['previous_models']}"
-        )
-        self.previous_models += len(
-            kwargs["litellm_params"]["metadata"]["previous_models"]
-        )  # {"previous_models": [{"model": litellm_model_name, "exception_type": AuthenticationError, "exception_string": <complete_traceback>}]}
-        print(f"self.previous_models: {self.previous_models}")
-
-    def log_post_api_call(self, kwargs, response_obj, start_time, end_time):
-        print(
-            f"Post-API Call - response object: {response_obj}; model: {kwargs['model']}"
-        )
-
-    def log_stream_event(self, kwargs, response_obj, start_time, end_time):
-        print(f"On Stream")
-
-    def async_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")
-
-    async def async_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")
-
-
-kwargs = {
-    "model": "azure/gpt-3.5-turbo",
-    "messages": [
-        {"role": "system", "content": "You are a helpful assistant."},
-        {
-            "role": "user",
-            "content": "vorrei vedere la cosa più bella ad Ercolano. Qual’è?",
-        },
-    ],
-}
-
-
-@pytest.mark.asyncio
-async def test_async_fallbacks():
-    litellm.set_verbose = False
-    model_list = [
-        {  # list of model deployments
-            "model_name": "azure/gpt-3.5-turbo-context-fallback",  # openai model name
-            "litellm_params": {  # params for litellm completion/embedding call
-                "model": "azure/chatgpt-v-3",
-                "api_key": os.getenv("AZURE_API_KEY"),
-                "api_version": os.getenv("AZURE_API_VERSION"),
-                "api_base": os.getenv("AZURE_API_BASE"),
-            },
-            "tpm": 240000,
-            "rpm": 1800,
-        },
-        {
-            "model_name": "azure/gpt-3.5-turbo",  # openai model name
-            "litellm_params": {  # params for litellm completion/embedding call
-                "model": "azure/chatgpt-functioncalling",
-                "api_key": os.getenv("AZURE_API_KEY"),
-                "api_version": os.getenv("AZURE_API_VERSION"),
-                "api_base": os.getenv("AZURE_API_BASE"),
-            },
-            "tpm": 240000,
-            "rpm": 1800,
-        },
-        {
-            "model_name": "gpt-3.5-turbo",  # openai model name
-            "litellm_params": {  # params for litellm completion/embedding call
-                "model": "gpt-3.5-turbo",
-                "api_key": os.getenv("OPENAI_API_KEY"),
-            },
-            "tpm": 1000000,
-            "rpm": 9000,
-        },
-        {
-            "model_name": "gpt-3.5-turbo-16k",  # openai model name
-            "litellm_params": {  # params for litellm completion/embedding call
-                "model": "gpt-3.5-turbo-16k",
-                "api_key": os.getenv("OPENAI_API_KEY"),
-            },
-            "tpm": 1000000,
-            "rpm": 9000,
-        },
-    ]
-
-    router = Router(
-        model_list=model_list,
-        num_retries=3,
-        fallbacks=[{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}],
-        # context_window_fallbacks=[
-        #     {"azure/gpt-3.5-turbo-context-fallback": ["gpt-3.5-turbo-16k"]},
-        #     {"gpt-3.5-turbo": ["gpt-3.5-turbo-16k"]},
-        # ],
-        set_verbose=False,
-    )
-    customHandler = MyCustomHandler()
-    litellm.callbacks = [customHandler]
-    try:
-        response = await router.acompletion(**kwargs)
-        pytest.fail(
-            f"An exception occurred: {e}"
-        )  # should've raised azure policy error
-    except litellm.Timeout as e:
-        pass
-    except Exception as e:
-        await asyncio.sleep(
-            0.05
-        )  # allow a delay as success_callbacks are on a separate thread
-        assert customHandler.previous_models == 0  # 0 retries, 0 fallback
-        router.reset()
-    finally:
-        router.reset()