fix(azure/completions): migrate completions endpoint to support base azure llm class

enables consistent auth logic across all azure calls

tests/litellm/llms/azure/test_azure_common_utils.py

@@ -370,3 +370,87 @@ async def test_ensure_initialize_azure_sdk_client_always_used(call_type):
         for call in azure_calls:
             assert "api_key" in call.kwargs, "api_key not found in parameters"
             assert "api_base" in call.kwargs, "api_base not found in parameters"
+
+
+@pytest.mark.parametrize(
+    "call_type",
+    [
+        CallTypes.atext_completion,
+        CallTypes.acompletion,
+    ],
+)
+@pytest.mark.asyncio
+async def test_ensure_initialize_azure_sdk_client_always_used_azure_text(call_type):
+    from litellm.router import Router
+
+    # Create a router with an Azure model
+    azure_model_name = "azure_text/chatgpt-v-2"
+    router = Router(
+        model_list=[
+            {
+                "model_name": "gpt-3.5-turbo",
+                "litellm_params": {
+                    "model": azure_model_name,
+                    "api_key": "test-api-key",
+                    "api_version": os.getenv("AZURE_API_VERSION", "2023-05-15"),
+                    "api_base": os.getenv(
+                        "AZURE_API_BASE", "https://test.openai.azure.com"
+                    ),
+                },
+            }
+        ],
+    )
+
+    # Prepare test input based on call type
+    test_inputs = {
+        "acompletion": {
+            "messages": [{"role": "user", "content": "Hello, how are you?"}]
+        },
+        "atext_completion": {"prompt": "Hello, how are you?"},
+    }
+
+    # Get appropriate input for this call type
+    input_kwarg = test_inputs.get(call_type.value, {})
+
+    patch_target = "litellm.main.azure_text_completions.initialize_azure_sdk_client"
+
+    # Mock the initialize_azure_sdk_client function
+    with patch(patch_target) as mock_init_azure:
+        # Also mock async_function_with_fallbacks to prevent actual API calls
+        # Call the appropriate router method
+        try:
+            get_attr = getattr(router, call_type.value, None)
+            if get_attr is None:
+                pytest.skip(
+                    f"Skipping {call_type.value} because it is not supported on Router"
+                )
+            await getattr(router, call_type.value)(
+                model="gpt-3.5-turbo",
+                **input_kwarg,
+                num_retries=0,
+                azure_ad_token="oidc/test-token",
+            )
+        except Exception as e:
+            traceback.print_exc()
+
+        # Verify initialize_azure_sdk_client was called
+        mock_init_azure.assert_called_once()
+
+        # Verify it was called with the right model name
+        calls = mock_init_azure.call_args_list
+        azure_calls = [call for call in calls]
+
+        litellm_params = azure_calls[0].kwargs["litellm_params"]
+        print("litellm_params", litellm_params)
+
+        assert (
+            "azure_ad_token" in litellm_params
+        ), "azure_ad_token not found in parameters"
+        assert (
+            litellm_params["azure_ad_token"] == "oidc/test-token"
+        ), "azure_ad_token is not correct"
+
+        # More detailed verification (optional)
+        for call in azure_calls:
+            assert "api_key" in call.kwargs, "api_key not found in parameters"
+            assert "api_base" in call.kwargs, "api_base not found in parameters"