diff --git a/agent/agent_config.py b/agent/agent_config.py
index c51202e..8351be8 100644
--- a/agent/agent_config.py
+++ b/agent/agent_config.py
@@ -147,7 +147,7 @@ class AgentConfig:
 
 
     @classmethod
-    async def from_v2_request(cls, request, bot_config: Dict, project_dir: Optional[str] = None, messages: Optional[List] = None, generate_cfg: Optional[Dict] = None):
+    async def from_v2_request(cls, request, bot_config: Dict, project_dir: Optional[str] = None, messages: Optional[List] = None, generate_cfg: Optional[Dict] = None, model_name: Optional[str] = None, model_server: Optional[str] = None, api_key: Optional[str] = None):
         """从v2请求创建配置"""
         # 延迟导入避免循环依赖
         from .logging_handler import LoggingCallbackHandler
@@ -175,17 +175,11 @@ class AgentConfig:
         enable_thinking = bot_config.get("enable_thinking", False)
         enable_memori = bot_config.get("enable_memory", False)
 
-        # generate_cfg 中的 model/model_server 为最高优先级（排除 "whatever" 和空值）
-        _gen_model = (generate_cfg or {}).get("model") or ""
-        _gen_model_server = (generate_cfg or {}).get("model_server") or ""
-        model_name = _gen_model if _gen_model and _gen_model != "whatever" else bot_config.get("model", "qwen/qwen3-next-80b-a3b-instruct")
-        model_server = _gen_model_server if _gen_model_server and _gen_model_server != "whatever" else bot_config.get("model_server", "")
-
         config = cls(
             bot_id=request.bot_id,
-            api_key=bot_config.get("api_key"),
-            model_name=model_name,
-            model_server=model_server,
+            api_key=api_key or bot_config.get("api_key"),
+            model_name=model_name or bot_config.get("model", "qwen/qwen3-next-80b-a3b-instruct"),
+            model_server=model_server or bot_config.get("model_server", ""),
             language=language,
             system_prompt=system_prompt,
             mcp_settings=bot_config.get("mcp_settings", []),
diff --git a/routes/chat.py b/routes/chat.py
index 869b9eb..06dd624 100644
--- a/routes/chat.py
+++ b/routes/chat.py
@@ -628,11 +628,19 @@ async def chat_warmup_v2(request: ChatRequestV2, authorization: Optional[str] =
         messages = process_messages(empty_messages, request.language or "ja")
 
         # 收集额外参数作为 generate_cfg
-        exclude_fields = {'messages', 'stream', 'tool_response', 'bot_id', 'language', 'user_identifier', 'session_id', 'n'}
+        exclude_fields = {'messages', 'stream', 'tool_response', 'bot_id', 'language', 'user_identifier', 'session_id', 'n', 'model', 'model_server', 'api_key'}
         generate_cfg = {k: v for k, v in request.model_dump().items() if k not in exclude_fields}
+        # 从请求中提取 model/model_server/api_key，优先级高于 bot_config（排除 "whatever" 和空值）
+        req_data = request.model_dump()
+        req_model = req_data.get("model") or ""
+        req_model_server = req_data.get("model_server") or ""
+        req_api_key = req_data.get("api_key") or ""
+        model_name = req_model if req_model and req_model != "whatever" else None
+        model_server = req_model_server if req_model_server and req_model_server != "whatever" else None
+        api_key = req_api_key if req_api_key and req_api_key != "whatever" else None
 
         # 创建 AgentConfig 对象
-        config = await AgentConfig.from_v2_request(request, bot_config, project_dir, messages, generate_cfg)
+        config = await AgentConfig.from_v2_request(request, bot_config, project_dir, messages, generate_cfg, model_name=model_name, model_server=model_server, api_key=api_key)
 
         # 预热 mcp_tools 缓存
         logger.info(f"Warming up mcp_tools for bot_id: {bot_id}")
@@ -727,10 +735,18 @@ async def chat_completions_v2(request: ChatRequestV2, authorization: Optional[st
         # 处理消息
         messages = process_messages(request.messages, request.language)
         # 收集额外参数作为 generate_cfg
-        exclude_fields = {'messages', 'dataset_ids', 'language', 'tool_response', 'system_prompt', 'mcp_settings', 'stream', 'robot_type', 'bot_id', 'user_identifier', 'session_id', 'enable_thinking', 'skills', 'enable_memory', 'n'}
+        exclude_fields = {'messages', 'dataset_ids', 'language', 'tool_response', 'system_prompt', 'mcp_settings', 'stream', 'robot_type', 'bot_id', 'user_identifier', 'session_id', 'enable_thinking', 'skills', 'enable_memory', 'n', 'model', 'model_server', 'api_key'}
         generate_cfg = {k: v for k, v in request.model_dump().items() if k not in exclude_fields}
+        # 从请求中提取 model/model_server/api_key，优先级高于 bot_config（排除 "whatever" 和空值）
+        req_data = request.model_dump()
+        req_model = req_data.get("model") or ""
+        req_model_server = req_data.get("model_server") or ""
+        req_api_key = req_data.get("api_key") or ""
+        model_name = req_model if req_model and req_model != "whatever" else None
+        model_server = req_model_server if req_model_server and req_model_server != "whatever" else None
+        api_key = req_api_key if req_api_key and req_api_key != "whatever" else None
         # 创建 AgentConfig 对象
-        config = await AgentConfig.from_v2_request(request, bot_config, project_dir, messages, generate_cfg)
+        config = await AgentConfig.from_v2_request(request, bot_config, project_dir, messages, generate_cfg, model_name=model_name, model_server=model_server, api_key=api_key)
         # 调用公共的agent创建和响应生成逻辑
         return await create_agent_and_generate_response(config)