diff --git a/tests/llm_translation/base_llm_unit_tests.py b/tests/llm_translation/base_llm_unit_tests.py
index fef1d23d867..791d417d4cb 100644
--- a/tests/llm_translation/base_llm_unit_tests.py
+++ b/tests/llm_translation/base_llm_unit_tests.py
@@ -2,33 +2,25 @@ import httpx
 import json
 import pytest
 import sys
-from typing import Any, Dict, List
-from unittest.mock import MagicMock, Mock, patch
 import os
 from litellm._uuid import uuid
 import time
 import base64
-import inspect
 
 sys.path.insert(
     0, os.path.abspath("../..")
 )  # Adds the parent directory to the system path
 import litellm
-from litellm.exceptions import BadRequestError
-from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 from litellm.utils import (
     CustomStreamWrapper,
-    get_supported_openai_params,
     get_optional_params,
     ProviderConfigManager,
 )
 from litellm.main import stream_chunk_builder
-from typing import Union
 from litellm.types.utils import Usage, ModelResponse
 
 # test_example.py
 from abc import ABC, abstractmethod
-from openai import OpenAI
 
 sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
 
@@ -191,7 +183,6 @@ class BaseLLMChatTest(ABC):
         print(response)
         print(json.dumps(response, indent=4, default=str))
 
-    @pytest.mark.flaky(retries=3, delay=1)
     def test_tool_call_with_empty_enum_property(self):
         litellm._turn_on_debug()
         from litellm.utils import supports_function_calling
@@ -291,7 +282,7 @@ class BaseLLMChatTest(ABC):
     def test_pydantic_model_input(self):
         litellm.set_verbose = True
 
-        from litellm import completion, Message
+        from litellm import Message
 
         base_completion_call_args = self.get_base_completion_call_args()
         messages = [Message(content="Hello, how are you?", role="user")]
@@ -483,7 +474,6 @@ class BaseLLMChatTest(ABC):
             {"type": "text"},
         ],
     )
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_json_response_format(self, response_format):
         """
         Test that the JSON response format is supported by the LLM API
@@ -525,7 +515,6 @@ class BaseLLMChatTest(ABC):
             {"type": "text"},
         ],
     )
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_response_format_type_text_with_tool_calls_no_tool_choice(
         self, response_format
     ):
@@ -603,7 +592,6 @@ class BaseLLMChatTest(ABC):
 
         print(f"translated_params={translated_params}")
 
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_json_response_pydantic_obj(self):
         litellm._turn_on_debug()
         from pydantic import BaseModel
@@ -643,16 +631,12 @@ class BaseLLMChatTest(ABC):
         except litellm.InternalServerError:
             pytest.skip("Model is overloaded")
 
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_json_response_pydantic_obj_nested_obj(self):
         litellm.set_verbose = True
-        from pydantic import BaseModel
-        from litellm.utils import supports_response_schema
 
         os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
         litellm.model_cost = litellm.get_model_cost_map(url="")
 
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_json_response_nested_pydantic_obj(self):
         from pydantic import BaseModel
         from litellm.utils import supports_response_schema
@@ -696,7 +680,6 @@ class BaseLLMChatTest(ABC):
         except litellm.InternalServerError:
             pytest.skip("Model is overloaded")
 
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_json_response_nested_json_schema(self):
         """
         PROD Test: ensure nested json schema sent to proxy works as expected.
@@ -747,7 +730,6 @@ class BaseLLMChatTest(ABC):
         except litellm.InternalServerError:
             pytest.skip("Model is overloaded")
 
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_audio_input(self):
         """
         Test that audio input is supported by the LLM API
@@ -785,7 +767,6 @@ class BaseLLMChatTest(ABC):
 
         print(completion.choices[0].message)
 
-    @pytest.mark.flaky(retries=6, delay=1)
     def test_json_response_format_stream(self):
         """
         Test that the JSON response format with streaming is supported by the LLM API
@@ -848,11 +829,6 @@ class BaseLLMChatTest(ABC):
             ],
         }
 
-    @abstractmethod
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     @pytest.mark.parametrize("detail", [None, "low", "high"])
     @pytest.mark.parametrize(
         "image_url",
@@ -865,7 +841,6 @@ class BaseLLMChatTest(ABC):
             "https://awsmp-logos.s3.amazonaws.com/seller-xw5kijmvmzasy/c233c9ade2ccb5491072ae232c814942.png",
         ],
     )
-    @pytest.mark.flaky(retries=4, delay=2)
     def test_image_url(self, detail, image_url):
         litellm.set_verbose = True
         from litellm.utils import supports_vision
@@ -962,7 +937,6 @@ class BaseLLMChatTest(ABC):
 
         assert response is not None
 
-    @pytest.mark.flaky(retries=4, delay=1)
     def test_prompt_caching(self):
         _skip_live_prompt_caching_test()
         print("test_prompt_caching")
@@ -1081,13 +1055,12 @@ class BaseLLMChatTest(ABC):
 
         return url
 
-    @pytest.mark.flaky(retries=3, delay=1)
     def test_empty_tools(self):
         """
         Related Issue: https://github.com/BerriAI/litellm/issues/9080
         """
         try:
-            from litellm import completion, ModelResponse
+            from litellm import completion
 
             litellm.set_verbose = True
             litellm._turn_on_debug()
@@ -1117,7 +1090,6 @@ class BaseLLMChatTest(ABC):
         except Exception as e:
             pytest.fail(f"Error occurred: {e}")
 
-    @pytest.mark.flaky(retries=3, delay=1)
     def test_basic_tool_calling(self):
         try:
             from litellm import completion, ModelResponse
@@ -1240,10 +1212,8 @@ class BaseLLMChatTest(ABC):
         except Exception as e:
             pytest.fail(f"Error occurred: {e}")
 
-    @pytest.mark.flaky(retries=3, delay=1)
     @pytest.mark.asyncio
     async def test_completion_cost(self):
-        from litellm import completion_cost
 
         litellm._turn_on_debug()
 
@@ -1471,114 +1441,6 @@ class BaseLLMChatTest(ABC):
             pytest.fail(f"Error: {e}")
 
 
-class BaseOSeriesModelsTest(ABC):  # test across azure/openai
-    @abstractmethod
-    def get_base_completion_call_args(self):
-        pass
-
-    @abstractmethod
-    def get_client(self) -> OpenAI:
-        pass
-
-    def test_reasoning_effort(self):
-        """Test that reasoning_effort is passed correctly to the model"""
-
-        from litellm import completion
-
-        client = self.get_client()
-
-        completion_args = self.get_base_completion_call_args()
-
-        with patch.object(
-            client.chat.completions.with_raw_response, "create"
-        ) as mock_client:
-            try:
-                completion(
-                    **completion_args,
-                    reasoning_effort="low",
-                    messages=[{"role": "user", "content": "Hello!"}],
-                    client=client,
-                )
-            except Exception as e:
-                print(f"Error: {e}")
-
-            mock_client.assert_called_once()
-            request_body = mock_client.call_args.kwargs
-            print("request_body: ", request_body)
-            assert request_body["reasoning_effort"] == "low"
-
-    def test_developer_role_translation(self):
-        """Test that developer role is translated correctly to system role for non-OpenAI providers"""
-        from litellm import completion
-
-        client = self.get_client()
-
-        completion_args = self.get_base_completion_call_args()
-
-        with patch.object(
-            client.chat.completions.with_raw_response, "create"
-        ) as mock_client:
-            try:
-                completion(
-                    **completion_args,
-                    reasoning_effort="low",
-                    messages=[
-                        {"role": "developer", "content": "Be a good bot!"},
-                        {"role": "user", "content": "Hello!"},
-                    ],
-                    client=client,
-                )
-            except Exception as e:
-                print(f"Error: {e}")
-
-            mock_client.assert_called_once()
-            request_body = mock_client.call_args.kwargs
-            print("request_body: ", request_body)
-            assert (
-                request_body["messages"][0]["role"] == "developer"
-            ), "Got={} instead of system".format(request_body["messages"][0]["role"])
-            assert request_body["messages"][0]["content"] == "Be a good bot!"
-
-    def test_completion_o_series_models_temperature(self):
-        """
-        Test that temperature is not passed to O-series models
-        """
-        try:
-            from litellm import completion
-
-            client = self.get_client()
-
-            completion_args = self.get_base_completion_call_args()
-
-            with patch.object(
-                client.chat.completions.with_raw_response, "create"
-            ) as mock_client:
-                try:
-                    completion(
-                        **completion_args,
-                        temperature=0.0,
-                        messages=[
-                            {
-                                "role": "user",
-                                "content": "Hello, world!",
-                            }
-                        ],
-                        drop_params=True,
-                        client=client,
-                    )
-                except Exception as e:
-                    print(f"Error: {e}")
-
-            mock_client.assert_called_once()
-            request_body = mock_client.call_args.kwargs
-            print("request_body: ", request_body)
-            assert (
-                "temperature" not in request_body
-            ), "temperature should not be in the request body"
-        except Exception as e:
-            pytest.fail(f"Error occurred: {e}")
-
-
 class BaseAnthropicChatTest(ABC):
     """
     Ensures consistent result across anthropic model usage
@@ -1681,7 +1543,6 @@ class BaseAnthropicChatTest(ABC):
         print(response)
 
     def test_completion_thinking_with_max_tokens(self):
-        from pydantic import BaseModel
 
         litellm._turn_on_debug()
 
@@ -1697,7 +1558,6 @@ class BaseAnthropicChatTest(ABC):
         print(response)
 
     def test_completion_thinking_without_max_tokens(self):
-        from pydantic import BaseModel
 
         litellm._turn_on_debug()
 
diff --git a/tests/llm_translation/test_azure_o_series.py b/tests/llm_translation/test_azure_o_series.py
index ed259a620ad..e6db69c7b27 100644
--- a/tests/llm_translation/test_azure_o_series.py
+++ b/tests/llm_translation/test_azure_o_series.py
@@ -8,10 +8,10 @@ sys.path.insert(
 
 
 import litellm
-from base_llm_unit_tests import BaseLLMChatTest, BaseOSeriesModelsTest
+from base_llm_unit_tests import BaseLLMChatTest
 
 
-class TestAzureOpenAIO3Mini(BaseOSeriesModelsTest, BaseLLMChatTest):
+class TestAzureOpenAIO3Mini(BaseLLMChatTest):
     def get_base_completion_call_args(self):
         # Clear the LLM client cache to prevent test pollution from cached clients
         litellm.in_memory_llm_clients_cache.flush_cache()
@@ -31,10 +31,6 @@ class TestAzureOpenAIO3Mini(BaseOSeriesModelsTest, BaseLLMChatTest):
             api_version="2024-02-15-preview",
         )
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_basic_tool_calling(self):
         pass
 
@@ -73,21 +69,3 @@ class TestAzureOpenAIO3Mini(BaseOSeriesModelsTest, BaseLLMChatTest):
         assert fake_stream is False
 
 
-class TestAzureOpenAIO3(BaseOSeriesModelsTest):
-    def get_base_completion_call_args(self):
-        return {
-            "model": "azure/o3-mini",
-            "api_key": "my-fake-o1-key",
-            "api_base": "https://openai-gpt-4-test-v-1.openai.azure.com",
-        }
-
-    def get_client(self):
-        from openai import AzureOpenAI
-
-        return AzureOpenAI(
-            api_key="my-fake-o1-key",
-            base_url="https://openai-gpt-4-test-v-1.openai.azure.com",
-            api_version="2024-02-15-preview",
-        )
-
-
diff --git a/tests/llm_translation/test_bedrock_completion.py b/tests/llm_translation/test_bedrock_completion.py
index c684749f3d3..86284f7c1eb 100644
--- a/tests/llm_translation/test_bedrock_completion.py
+++ b/tests/llm_translation/test_bedrock_completion.py
@@ -1903,10 +1903,6 @@ class TestBedrockConverseChatCrossRegion(BaseLLMChatTest):
             "model": "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_prompt_caching(self):
         """
         Remove override once we have access to Bedrock prompt caching
@@ -1956,11 +1952,6 @@ class TestBedrockConverseChatNormal(BaseLLMChatTest):
             "aws_region_name": "us-east-1",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
-
 class TestBedrockConverseNovaTestSuite(BaseLLMChatTest):
     def get_base_completion_call_args(self) -> dict:
         os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
@@ -1971,10 +1962,6 @@ class TestBedrockConverseNovaTestSuite(BaseLLMChatTest):
             "aws_region_name": "us-east-1",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_prompt_caching(self):
         """
         TODO: Ensure this test passes our base llm test suite
diff --git a/tests/llm_translation/test_bedrock_gpt_oss.py b/tests/llm_translation/test_bedrock_gpt_oss.py
index 0a595ad7114..09f009675db 100644
--- a/tests/llm_translation/test_bedrock_gpt_oss.py
+++ b/tests/llm_translation/test_bedrock_gpt_oss.py
@@ -19,10 +19,6 @@ class TestBedrockGPTOSS(BaseLLMChatTest):
             "model": "bedrock/converse/openai.gpt-oss-20b-1:0",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_function_calling_with_tool_response(self):
         """Bedrock GPT-OSS intermittently emits truncated toolUse.input deltas on
         the live endpoint, which makes the inherited live integration test flaky.
diff --git a/tests/llm_translation/test_bedrock_invoke_tests.py b/tests/llm_translation/test_bedrock_invoke_tests.py
index 901b43542f7..b74bfb1dc57 100644
--- a/tests/llm_translation/test_bedrock_invoke_tests.py
+++ b/tests/llm_translation/test_bedrock_invoke_tests.py
@@ -18,21 +18,12 @@ class TestBedrockInvokeClaudeJson(BaseLLMChatTest):
             "model": "bedrock/invoke/us.anthropic.claude-haiku-4-5-20251001-v1:0",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
-
 class TestBedrockInvokeNovaJson(BaseLLMChatTest):
     def get_base_completion_call_args(self) -> dict:
         return {
             "model": "bedrock/invoke/us.amazon.nova-micro-v1:0",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     @pytest.fixture(autouse=True)
     def skip_non_json_tests(self, request):
         if not "json" in request.function.__name__.lower():
diff --git a/tests/llm_translation/test_bedrock_llama.py b/tests/llm_translation/test_bedrock_llama.py
index b18928747eb..543a5842dd5 100644
--- a/tests/llm_translation/test_bedrock_llama.py
+++ b/tests/llm_translation/test_bedrock_llama.py
@@ -10,9 +10,6 @@ import litellm
 
 
 class TestBedrockTestSuite(BaseLLMChatTest):
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        pass
-
     def get_base_completion_call_args(self) -> dict:
         litellm._turn_on_debug()
         return {
diff --git a/tests/llm_translation/test_bedrock_moonshot.py b/tests/llm_translation/test_bedrock_moonshot.py
index 5bf4c20694c..2b79fdc82a5 100644
--- a/tests/llm_translation/test_bedrock_moonshot.py
+++ b/tests/llm_translation/test_bedrock_moonshot.py
@@ -36,10 +36,6 @@ class TestBedrockMoonshotInvoke(BaseLLMChatTest):
             "model": "bedrock/invoke/moonshot.kimi-k2-thinking",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly."""
-        pass
-
     # ---------------------------------------------------------------------
     # The overrides below replace inherited BaseLLMChatTest tests that would
     # otherwise make live AWS Bedrock calls. The live versions were
diff --git a/tests/llm_translation/test_bedrock_nova_json.py b/tests/llm_translation/test_bedrock_nova_json.py
index 7531891c4ef..c7a42b047bc 100644
--- a/tests/llm_translation/test_bedrock_nova_json.py
+++ b/tests/llm_translation/test_bedrock_nova_json.py
@@ -22,10 +22,6 @@ class TestBedrockNovaJson(BaseLLMChatTest):
     def test_json_response_nested_json_schema(self):
         pass
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_prompt_caching(self):
         """
         Remove override once we have access to Bedrock prompt caching
diff --git a/tests/llm_translation/test_databricks.py b/tests/llm_translation/test_databricks.py
index d2d51b099c7..fec82b45043 100644
--- a/tests/llm_translation/test_databricks.py
+++ b/tests/llm_translation/test_databricks.py
@@ -63,8 +63,3 @@ class TestDatabricksCompletion(BaseLLMChatTest, BaseAnthropicChatTest):
     def test_pdf_handling(self, pdf_messages):
         pytest.skip("Databricks does not support PDF handling")
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pytest.skip("Databricks is openai compatible")
-
-
diff --git a/tests/llm_translation/test_deepseek_completion.py b/tests/llm_translation/test_deepseek_completion.py
index cf31b882c14..11914826996 100644
--- a/tests/llm_translation/test_deepseek_completion.py
+++ b/tests/llm_translation/test_deepseek_completion.py
@@ -11,11 +11,6 @@ class TestDeepSeekChatCompletion(BaseLLMChatTest):
             "model": "deepseek/deepseek-reasoner",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
-
 def test_completion_cost_deepseek():
     litellm.set_verbose = True
     model_name = "deepseek/deepseek-chat"
diff --git a/tests/llm_translation/test_groq.py b/tests/llm_translation/test_groq.py
index cf4be9e801e..3543c4fe9d1 100644
--- a/tests/llm_translation/test_groq.py
+++ b/tests/llm_translation/test_groq.py
@@ -23,10 +23,6 @@ class TestGroq(BaseLLMChatTest):
             "model": "groq/llama-3.3-70b-versatile",
         }
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_tool_call_with_empty_enum_property(self):
         pass
 
diff --git a/tests/llm_translation/test_mistral_api.py b/tests/llm_translation/test_mistral_api.py
index 8cf704fbe89..6709838fa6c 100644
--- a/tests/llm_translation/test_mistral_api.py
+++ b/tests/llm_translation/test_mistral_api.py
@@ -34,6 +34,3 @@ class TestMistralCompletion(BaseLLMChatTest):
         litellm.set_verbose = True
         return {"model": "mistral/mistral-medium-latest"}
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
diff --git a/tests/llm_translation/test_openai.py b/tests/llm_translation/test_openai.py
index 26b21143dc4..625fe56077c 100644
--- a/tests/llm_translation/test_openai.py
+++ b/tests/llm_translation/test_openai.py
@@ -145,10 +145,6 @@ class TestOpenAIChatCompletion(BaseLLMChatTest):
     def get_base_completion_call_args(self) -> dict:
         return {"model": "gpt-4o-mini"}
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_prompt_caching(self):
         """
         Test that prompt caching works correctly.
diff --git a/tests/llm_translation/test_openai_o1.py b/tests/llm_translation/test_openai_o1.py
index 54b1734884e..3bbb2fc9aa9 100644
--- a/tests/llm_translation/test_openai_o1.py
+++ b/tests/llm_translation/test_openai_o1.py
@@ -11,7 +11,7 @@ import pytest
 
 import litellm
 from litellm import ModelResponse
-from base_llm_unit_tests import BaseLLMChatTest, BaseOSeriesModelsTest
+from base_llm_unit_tests import BaseLLMChatTest
 
 
 @pytest.mark.parametrize("model", ["o1"])
@@ -110,7 +110,7 @@ def test_litellm_responses():
     assert isinstance(response.usage.completion_tokens_details, CompletionTokensDetails)
 
 
-class TestOpenAIO1(BaseOSeriesModelsTest, BaseLLMChatTest):
+class TestOpenAIO1(BaseLLMChatTest):
     def get_base_completion_call_args(self):
         return {
             "model": "o1",
@@ -121,16 +121,12 @@ class TestOpenAIO1(BaseOSeriesModelsTest, BaseLLMChatTest):
 
         return OpenAI(api_key="fake-api-key")
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_prompt_caching(self):
         """Temporary override. o1 prompt caching is not working."""
         pass
 
 
-class TestOpenAIO3(BaseOSeriesModelsTest, BaseLLMChatTest):
+class TestOpenAIO3(BaseLLMChatTest):
     def get_base_completion_call_args(self):
         return {
             "model": "o3-mini",
@@ -141,10 +137,6 @@ class TestOpenAIO3(BaseOSeriesModelsTest, BaseLLMChatTest):
 
         return OpenAI(api_key="fake-api-key")
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_prompt_caching(self):
         """Override, as o3 prompt caching is flaky"""
         pass
diff --git a/tests/llm_translation/test_router_llm_translation_tests.py b/tests/llm_translation/test_router_llm_translation_tests.py
index 26456ab0a35..dd579715c7e 100644
--- a/tests/llm_translation/test_router_llm_translation_tests.py
+++ b/tests/llm_translation/test_router_llm_translation_tests.py
@@ -45,10 +45,6 @@ class TestRouterLLMTranslation(BaseLLMChatTest):
     def get_base_completion_call_args(self) -> dict:
         return {"model": "gpt-4o-mini"}
 
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
     def test_prompt_caching(self):
         """
         Works locally but CI/CD is failing this test. Temporary skip to push out a new release.