Fix unit tests reference on served_model_names

tests/entrypoints/openai/test_serving_chat.py

@@ -7,11 +7,14 @@
 from vllm.engine.multiprocessing.client import MQLLMEngineClient
 from vllm.entrypoints.openai.protocol import ChatCompletionRequest
 from vllm.entrypoints.openai.serving_chat import OpenAIServingChat
+from vllm.entrypoints.openai.serving_engine import BaseModelPath
 from vllm.transformers_utils.tokenizer import get_tokenizer
 
 MODEL_NAME = "openai-community/gpt2"
 CHAT_TEMPLATE = "Dummy chat template for testing {}"
 
+BASE_MODEL_PATHS = [BaseModelPath(name=MODEL_NAME, model_path=MODEL_NAME)]
+
 
 @dataclass
 class MockModelConfig:
@@ -37,7 +40,7 @@ async def _async_serving_chat_init():
 
     serving_completion = OpenAIServingChat(engine,
                                            model_config,
-                                           served_model_names=[MODEL_NAME],
+                                           BASE_MODEL_PATHS,
                                            response_role="assistant",
                                            chat_template=CHAT_TEMPLATE,
                                            lora_modules=None,
@@ -58,7 +61,7 @@ def test_serving_chat_should_set_correct_max_tokens():
 
     serving_chat = OpenAIServingChat(mock_engine,
                                      MockModelConfig(),
-                                     served_model_names=[MODEL_NAME],
+                                     BASE_MODEL_PATHS,
                                      response_role="assistant",
                                      chat_template=CHAT_TEMPLATE,
                                      lora_modules=None,

vllm/entrypoints/openai/run_batch.py

@@ -20,6 +20,7 @@
 # yapf: enable
 from vllm.entrypoints.openai.serving_chat import OpenAIServingChat
 from vllm.entrypoints.openai.serving_embedding import OpenAIServingEmbedding
+from vllm.entrypoints.openai.serving_engine import BaseModelPath
 from vllm.usage.usage_lib import UsageContext
 from vllm.utils import FlexibleArgumentParser, random_uuid
 from vllm.version import __version__ as VLLM_VERSION
@@ -196,6 +197,10 @@ async def main(args):
         engine_args, usage_context=UsageContext.OPENAI_BATCH_RUNNER)
 
     model_config = await engine.get_model_config()
+    base_model_paths = [
+        BaseModelPath(name=name, model_path=args.model)
+        for name in served_model_names
+    ]
 
     if args.disable_log_requests:
         request_logger = None
@@ -206,7 +211,7 @@ async def main(args):
     openai_serving_chat = OpenAIServingChat(
         engine,
         model_config,
-        served_model_names,
+        base_model_paths,
         args.response_role,
         lora_modules=None,
         prompt_adapters=None,

vllm/entrypoints/openai/serving_engine.py

@@ -495,4 +495,3 @@ async def unload_lora_adapter(
 
     def _is_model_supported(self, model_name):
         return any(model.name == model_name for model in self.base_model_paths)
-