diff --git a/litellm/tests/test_opentelemetry.py b/litellm/tests/test_opentelemetry.py
index 4626cab838d..ebeecf254ac 100644
--- a/litellm/tests/test_opentelemetry.py
+++ b/litellm/tests/test_opentelemetry.py
@@ -11,25 +11,77 @@ import pytest
 verbose_logger.setLevel(logging.DEBUG)
 
 
-@pytest.mark.skip(reason="new test")
+# @pytest.mark.skip(reason="new test")
 def test_otel_callback():
     exporter = InMemorySpanExporter()
-
+    litellm.set_verbose = True
     litellm.callbacks = [OpenTelemetry(OpenTelemetryConfig(exporter=exporter))]
 
-    litellm.completion(
-        model="gpt-3.5-turbo",
-        messages=[{"role": "user", "content": "hi"}],
-    )
-
     asyncio.run(
         litellm.acompletion(
             model="gpt-3.5-turbo",
             messages=[{"role": "user", "content": "hi"}],
+            temperature=0.1,
+            user="OTEL_USER",
         )
     )
 
     time.sleep(4)
 
     spans = exporter.get_finished_spans()
-    assert len(spans) == 1 + 1
+    print("spans", spans)
+    assert len(spans) == 2
+
+
+@pytest.mark.parametrize(
+    "model",
+    ["anthropic/claude-3-opus-20240229"],
+)
+@pytest.mark.skip(reason="Local only test. WIP.")
+def test_completion_claude_3_function_call_with_otel(model):
+    litellm.set_verbose = True
+
+    litellm.callbacks = [OpenTelemetry(OpenTelemetryConfig())]
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "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"],
+                },
+            },
+        }
+    ]
+    messages = [
+        {
+            "role": "user",
+            "content": "What's the weather like in Boston today in Fahrenheit?",
+        }
+    ]
+    try:
+        # test without max tokens
+        response = litellm.completion(
+            model=model,
+            messages=messages,
+            tools=tools,
+            tool_choice={
+                "type": "function",
+                "function": {"name": "get_current_weather"},
+            },
+            drop_params=True,
+        )
+
+        print("response from LiteLLM", response)
+
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")