diff --git a/template/model_config_template.toml b/template/model_config_template.toml
index 7a08d362a..c9774e329 100644
--- a/template/model_config_template.toml
+++ b/template/model_config_template.toml
@@ -53,8 +53,8 @@ price_out = 8.0                    # 输出价格（用于API调用统计，单
 #use_anti_truncation = true        # [可选] 启用反截断功能。当模型输出不完整时，系统会自动重试。建议只为有需要的模型（如Gemini）开启。
 
 [[models]]
-model_identifier = "deepseek-ai/DeepSeek-V3"
-name = "siliconflow-deepseek-v3"
+model_identifier = "deepseek-ai/DeepSeek-V3.1-Terminus"
+name = "siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"
 api_provider = "SiliconFlow"
 price_in = 2.0
 price_out = 8.0
@@ -122,7 +122,7 @@ price_in = 4.0
 price_out = 16.0
 
 [model_task_config.utils] # 在麦麦的一些组件中使用的模型，例如表情包模块，取名模块，关系模块，是麦麦必须的模型
-model_list = ["siliconflow-deepseek-v3"] # 使用的模型列表，每个子项对应上面的模型名称(name)
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"] # 使用的模型列表，每个子项对应上面的模型名称(name)
 temperature = 0.2                        # 模型温度，新V3建议0.1-0.3
 max_tokens = 800                         # 最大输出token数
 #concurrency_count = 2                   # 并发请求数量，默认为1（不并发），设置为2或更高启用并发
@@ -133,28 +133,28 @@ temperature = 0.7
 max_tokens = 800
 
 [model_task_config.replyer] # 首要回复模型，还用于表达器和表达方式学习
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.2                        # 模型温度，新V3建议0.1-0.3
 max_tokens = 800
 
 [model_task_config.planner] #决策：负责决定麦麦该做什么的模型
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.3
 max_tokens = 800
 
 
 [model_task_config.emotion] #负责麦麦的情绪变化
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.3
 max_tokens = 800
 
 [model_task_config.mood] #负责麦麦的心情变化
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.3
 max_tokens = 800
 
 [model_task_config.maizone] # maizone模型
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.7
 max_tokens = 800
 
@@ -181,7 +181,7 @@ temperature = 0.7
 max_tokens = 800
 
 [model_task_config.schedule_generator]#日程表生成模型
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.7
 max_tokens = 1000
 
@@ -191,12 +191,12 @@ temperature = 0.1                   # 低温度确保检测结果稳定
 max_tokens = 200                    # 检测结果不需要太长的输出
 
 [model_task_config.monthly_plan_generator] # 月层计划生成模型
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.7
 max_tokens = 1000
 
 [model_task_config.relationship_tracker] # 用户关系追踪模型
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.7
 max_tokens = 1000
 
@@ -209,12 +209,12 @@ model_list = ["bge-m3"]
 #------------LPMM知识库模型------------
 
 [model_task_config.lpmm_entity_extract] # 实体提取模型
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.2
 max_tokens = 800
 
 [model_task_config.lpmm_rdf_build] # RDF构建模型
-model_list = ["siliconflow-deepseek-v3"]
+model_list = ["siliconflow-deepseek-ai/DeepSeek-V3.1-Terminus"]
 temperature = 0.2
 max_tokens = 800