feat: 添加模型级别温度配置并优化温度优先级处理逻辑

src/config/api_ada_configs.py

@@ -60,6 +60,9 @@ class ModelInfo(ConfigBase):
     price_out: float = field(default=0.0)
     """每M token输出价格"""
 
+    temperature: float | None = field(default=None)
+    """模型级别温度（可选），会覆盖任务配置中的温度"""
+
     force_stream_mode: bool = field(default=False)
     """是否强制使用流式输出模式"""
 

src/llm_models/utils_model.py

@@ -315,12 +315,21 @@ class LLMRequest:
         while retry_remain > 0:
             try:
                 if request_type == RequestType.RESPONSE:
+                    # 温度优先级：参数传入 > 模型级别配置 > extra_params > 任务配置
+                    effective_temperature = temperature
+                    if effective_temperature is None:
+                        effective_temperature = model_info.temperature
+                    if effective_temperature is None:
+                        effective_temperature = (model_info.extra_params or {}).get("temperature")
+                    if effective_temperature is None:
+                        effective_temperature = self.model_for_task.temperature
+                    
                     return await client.get_response(
                         model_info=model_info,
                         message_list=(compressed_messages or message_list),
                         tool_options=tool_options,
                         max_tokens=self.model_for_task.max_tokens if max_tokens is None else max_tokens,
-                        temperature=temperature if temperature is not None else (model_info.extra_params or {}).get("temperature", self.model_for_task.temperature),
+                        temperature=effective_temperature,
                         response_format=response_format,
                         stream_response_handler=stream_response_handler,
                         async_response_parser=async_response_parser,