[bugfix] add api process rank in default multimodal request (#36150)

Signed-off-by: fake0fan <645327136@qq.com>
Signed-off-by: Chenguang ZHENG <645327136@qq.com>

tests/entrypoints/openai/test_serving_chat.py

@@ -537,16 +537,22 @@ class MockModelConfig:
         return self.diff_sampling_param or {}
 
 
+@dataclass
+class MockParallelConfig:
+    _api_process_rank: int = 0
+
+
 @dataclass
 class MockVllmConfig:
     model_config: MockModelConfig
+    parallel_config: MockParallelConfig
 
 
 def _build_renderer(model_config: MockModelConfig):
     _, tokenizer_name, _, kwargs = tokenizer_args_from_config(model_config)
 
     return HfRenderer.from_config(
-        MockVllmConfig(model_config),
+        MockVllmConfig(model_config, parallel_config=MockParallelConfig()),
         tokenizer_kwargs={**kwargs, "tokenizer_name": tokenizer_name},
     )
 
@@ -797,7 +803,7 @@ async def test_serving_chat_mistral_token_ids_prompt_is_validated():
 
     mock_tokenizer = MagicMock(spec=MistralTokenizer)
     mock_renderer = MistralRenderer(
-        MockVllmConfig(mock_engine.model_config),
+        MockVllmConfig(mock_engine.model_config, parallel_config=MockParallelConfig()),
         tokenizer=mock_tokenizer,
     )
     # Force the Mistral chat template renderer to return token IDs.
@@ -837,7 +843,7 @@ async def test_serving_chat_mistral_token_ids_prompt_too_long_is_rejected():
 
     mock_tokenizer = MagicMock(spec=MistralTokenizer)
     mock_renderer = MistralRenderer(
-        MockVllmConfig(mock_engine.model_config),
+        MockVllmConfig(mock_engine.model_config, parallel_config=MockParallelConfig()),
         tokenizer=mock_tokenizer,
     )
     # prompt_token_ids length == max_model_len should be rejected for