test: remove dead tests

tests/llm_translation/test_anthropic_completion.py

@@ -1350,6 +1350,9 @@ def test_anthropic_text_editor():
 
 
 @pytest.mark.parametrize("spec", ["anthropic", "openai"])
+@pytest.mark.skipif(
+    os.getenv("ZAPIER_CI_CD_MCP_TOKEN") is None, reason="ZAPIER_CI_CD_MCP_TOKEN not set"
+)
 def test_anthropic_mcp_server_tool_use(spec: str):
     litellm._turn_on_debug()
 
@@ -1391,6 +1394,9 @@ def test_anthropic_mcp_server_tool_use(spec: str):
 @pytest.mark.parametrize(
     "model", ["openai/gpt-4.1", "anthropic/claude-sonnet-4-20250514"]
 )
+@pytest.mark.skipif(
+    os.getenv("ZAPIER_CI_CD_MCP_TOKEN") is None, reason="ZAPIER_CI_CD_MCP_TOKEN not set"
+)
 def test_anthropic_mcp_server_responses_api(model: str):
     from litellm import responses
 

tests/logging_callback_tests/test_alerting.py

@@ -788,40 +788,6 @@ async def test_region_outage_alerting_called(
             mock_send_alert.assert_not_called()
 
 
-@pytest.mark.asyncio
-@pytest.mark.skip(reason="test only needs to run locally ")
-async def test_alerting():
-    router = litellm.Router(
-        model_list=[
-            {
-                "model_name": "gpt-3.5-turbo",
-                "litellm_params": {
-                    "model": "gpt-3.5-turbo",
-                    "api_key": "bad_key",
-                },
-            }
-        ],
-        debug_level="DEBUG",
-        set_verbose=True,
-        alerting_config=AlertingConfig(
-            alerting_threshold=10,  # threshold for slow / hanging llm responses (in seconds). Defaults to 300 seconds
-            webhook_url=os.getenv(
-                "SLACK_WEBHOOK_URL"
-            ),  # webhook you want to send alerts to
-        ),
-    )
-    try:
-        await router.acompletion(
-            model="gpt-3.5-turbo",
-            messages=[{"role": "user", "content": "Hey, how's it going?"}],
-        )
-
-    except Exception:
-        pass
-    finally:
-        await asyncio.sleep(3)
-
-
 @pytest.mark.asyncio
 async def test_langfuse_trace_id():
     """