fix TestOpenAIServingCompletion fail (#3368)

test/entrypoints/openai/test_serving_completion.py

@@ -17,10 +17,10 @@ class TestOpenAIServingCompletion(unittest.TestCase):
         engine_client.reasoning_parser = "ernie_x1"
         # 创建一个OpenAIServingCompletion实例
         serving_completion = OpenAIServingCompletion(engine_client, "pid", "ips", 360)
-        # 创建一个模拟的output，并设置finish_reason为"tool_calls"
-        output = {"finish_reason": "tool_calls"}
+        # 创建一个模拟的output，并设置finish_reason为"tool_call"
+        output = {"tool_call": "tool_call"}
         # 调用calc_finish_reason方法
-        result = serving_completion.calc_finish_reason(None, 100, output)
+        result = serving_completion.calc_finish_reason(None, 100, output, False)
         # 断言结果为"tool_calls"
         assert result == "tool_calls"
 
@@ -33,7 +33,7 @@ class TestOpenAIServingCompletion(unittest.TestCase):
         # 创建一个模拟的output，并设置finish_reason为其他值
         output = {"finish_reason": "other_reason"}
         # 调用calc_finish_reason方法
-        result = serving_completion.calc_finish_reason(None, 100, output)
+        result = serving_completion.calc_finish_reason(None, 100, output, False)
         # 断言结果为"stop"
         assert result == "stop"
 
@@ -45,7 +45,7 @@ class TestOpenAIServingCompletion(unittest.TestCase):
         # 创建一个模拟的output
         output = {}
         # 调用calc_finish_reason方法
-        result = serving_completion.calc_finish_reason(100, 100, output)
+        result = serving_completion.calc_finish_reason(100, 100, output, False)
         # 断言结果为"length"
         assert result == "length"
 
@@ -95,6 +95,7 @@ class TestOpenAIServingCompletion(unittest.TestCase):
             model_name=model_name,
             prompt_batched_token_ids=prompt_batched_token_ids,
             completion_batched_token_ids=completion_batched_token_ids,
+            text_after_process_list=["1", "1"],
         )
 
         assert completion_response.id == request_id