[Server] use fastchat.model.model_adapter.get_conversation_template m…

…ethod to get model template (vllm-project#357)

vllm/entrypoints/openai/api_server.py

@@ -13,8 +13,9 @@
 from fastapi.exceptions import RequestValidationError
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse, StreamingResponse
-from fastchat.conversation import (Conversation, SeparatorStyle,
-                                   get_conv_template)
+from fastchat.conversation import Conversation, SeparatorStyle
+from fastchat.model.model_adapter import get_conversation_template
+
 import uvicorn
 
 from vllm.engine.arg_utils import AsyncEngineArgs
@@ -36,7 +37,6 @@
 
 logger = init_logger(__name__)
 served_model = None
-chat_template = None
 app = fastapi.FastAPI()
 
 
@@ -63,7 +63,7 @@ async def check_model(request) -> Optional[JSONResponse]:
 
 
 async def get_gen_prompt(request) -> str:
-    conv = get_conv_template(chat_template)
+    conv = get_conversation_template(request.model)
     conv = Conversation(
         name=conv.name,
         system=conv.system,
@@ -560,14 +560,7 @@ async def fake_stream_generator() -> AsyncGenerator[str, None]:
                         help="The model name used in the API. If not "
                         "specified, the model name will be the same as "
                         "the huggingface name.")
-    parser.add_argument(
-        "--chat-template",
-        type=str,
-        default=None,
-        help="The chat template name used in the ChatCompletion endpoint. If "
-        "not specified, we use the API model name as the template name. See "
-        "https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py "
-        "for the list of available templates.")
+
     parser = AsyncEngineArgs.add_cli_args(parser)
     args = parser.parse_args()
 
@@ -586,11 +579,6 @@ async def fake_stream_generator() -> AsyncGenerator[str, None]:
     else:
         served_model = args.model
 
-    if args.chat_template is not None:
-        chat_template = args.chat_template
-    else:
-        chat_template = served_model
-
     engine_args = AsyncEngineArgs.from_cli_args(args)
     engine = AsyncLLMEngine.from_engine_args(engine_args)
     engine_model_config = asyncio.run(engine.get_model_config())