[Optimize]Error messages about Model api. (#3839) (#3972)

* add v1/models interface related

* add model parameters

* default model verification

* unit test

* check model err_msg

* unit test

* type annotation

* model parameter in response

* modify document description

* modify document description

* unit test

* verification

* verification update

* model_name

* pre-commit

* update test case

* update test case

* Update tests/entrypoints/openai/test_serving_models.py



* Update tests/entrypoints/openai/test_serving_models.py



* Update tests/entrypoints/openai/test_serving_models.py



* Update tests/entrypoints/openai/test_serving_models.py



* Update fastdeploy/entrypoints/openai/serving_models.py



* 优化报错信息。

---------

Co-authored-by: yangzichao01 <yangzichao01@baidu.com>
Co-authored-by: Yzc216 <101054010+Yzc216@users.noreply.github.com>
Co-authored-by: LiqinruiG <37392159+LiqinruiG@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

fastdeploy/entrypoints/openai/serving_chat.py

@@ -91,7 +91,7 @@ class OpenAIServingChat:
         if self.models:
             is_supported, request.model = self.models.is_supported_model(request.model)
             if not is_supported:
-                err_msg = f"Unsupported model: {request.model}, support {', '.join([x.name for x in self.models.model_paths])} or default"
+                err_msg = f"Unsupported model: [{request.model}], support [{', '.join([x.name for x in self.models.model_paths])}] or default"
                 api_server_logger.error(err_msg)
                 return ErrorResponse(message=err_msg, code=400)