[feature] Add verification to configuration parameters

**Phenomenon and reproduction steps**

**Root cause and solution**

**Impactions**

**Test method**

**Affected branch(es)**

* main

**Checklist**

- [ ] Dependencies update required
- [ ] Common bug (similar problem in other repo)

df-llm-agent/llm_agent_app/llm_agent.py

@@ -16,7 +16,7 @@
 from utils import logger
 from database import db_models
 import datetime
-
+import copy
 from utils.curl_tools import curl_tools
 from utils.tools import generate_uuid
 from config import config
@@ -230,44 +230,21 @@ async def assistant_base(
             res_config = config.platforms
             for _info in res_config:
                 if _info.get("platform", "") == platform and _info.get("enable", False):
+
+                    engine_config = copy.deepcopy(_info)
+
                     _engine_name = _info.get("engine_name", [])
                     if engine_name in _engine_name:
-                        _info["engine_name"] = f"{engine_name}"
+                        engine_config["engine_name"] = f"{engine_name}"
                     else:
-                        _info["engine_name"] = ""
-
-                    engine_config = _info
+                        engine_config["engine_name"] = ""
 
             if not engine_config.get("enable", False):
                 raise BadRequestException(
                     "INVALID_PARAMETERS",
                     f"{const.INVALID_PARAMETERS}, 平台: {platform} 未启用",
                 )
 
-        else:
-            try:
-                res_config = await db_models.LlmConfig.filter(**data_info).all()
-            except Exception as e:
-                raise BadRequestException("SQL_ERROR", const.SQL_ERROR, f"{e}")
-
-            # key = engine_name 时可能会存在多个配置,设置为当前使用值
-            for v in res_config:
-                v_dict = dict(v)
-                _key = v_dict["key"]
-                _value = v_dict["value"]
-
-                if _key == "engine_name":
-                    if _value == engine_name:
-                        engine_config[_key] = _value
-                else:
-                    engine_config[_key] = _value
-
-            if engine_config.get("enable", "") != "1":
-                raise BadRequestException(
-                    "INVALID_PARAMETERS",
-                    f"{const.INVALID_PARAMETERS}, 平台: {platform} 未启用",
-                )
-
         # print(engine_config, engine_config.get("engine_name"), engine_name)
 
         if engine_config.get("engine_name", "") != engine_name:

df-llm-agent/llm_agent_app/llm_agent_config.py

@@ -36,10 +36,19 @@ async def llm_agent_config_list(cls, user_info, platform=""):
 
                 if platform and platform != _platform:
                     continue
+
                 _enable = _info.get('enable', False)
+
                 __info['enable'] = "1" if _enable else "0"
+
                 __info['model'] = _info.get('model', '')
-                __info['engine_name'] = _info.get('engine_name', [])
+
+                engine_name = _info.get('engine_name', [])
+
+                if not isinstance(engine_name, list):
+                    raise BadRequestException("INVALID_PARAMETERS", f"{const.INVALID_PARAMETERS}, 配置项 engine_name 的值格式错误，engine_name：{engine_name}")
+
+                __info['engine_name'] = engine_name
 
                 res[f"{_platform}"] = __info