[serve][doc] update serve vllm openai example for latest vllm version

doc/source/serve/doc_code/vllm_openai_example.py

@@ -17,7 +17,13 @@
     ErrorResponse,
 )
 from vllm.entrypoints.openai.serving_chat import OpenAIServingChat
-from vllm.entrypoints.openai.serving_engine import LoRAModulePath, PromptAdapterPath
+from vllm.entrypoints.openai.serving_models import (
+    BaseModelPath,
+    LoRAModulePath,
+    PromptAdapterPath,
+    OpenAIServingModels,
+)
+
 from vllm.utils import FlexibleArgumentParser
 from vllm.entrypoints.logger import RequestLogger
 
@@ -67,19 +73,25 @@ async def create_chat_completion(
         if not self.openai_serving_chat:
             model_config = await self.engine.get_model_config()
             # Determine the name of the served model for the OpenAI client.
-            if self.engine_args.served_model_name is not None:
-                served_model_names = self.engine_args.served_model_name
-            else:
-                served_model_names = [self.engine_args.model]
-            self.openai_serving_chat = OpenAIServingChat(
+            models = OpenAIServingModels(
                 self.engine,
                 model_config,
-                served_model_names,
-                self.response_role,
+                [
+                    BaseModelPath(
+                        name=self.engine_args.model, model_path=self.engine_args.model
+                    )
+                ],
                 lora_modules=self.lora_modules,
                 prompt_adapters=self.prompt_adapters,
+            )
+            self.openai_serving_chat = OpenAIServingChat(
+                self.engine,
+                model_config,
+                models,
+                self.response_role,
                 request_logger=self.request_logger,
                 chat_template=self.chat_template,
+                chat_template_content_format="auto",
             )
         logger.info(f"Request: {request}")
         generator = await self.openai_serving_chat.create_chat_completion(