fix: 模型优先使用无需付费模型，并模型名称全局化

src/plugins/chat/config.py

@@ -33,6 +33,11 @@ class BotConfig:
     EMOJI_REGISTER_INTERVAL: int = 10  # 表情包注册间隔（分钟）
     
     API_USING: str = "siliconflow"  # 使用的API
+    DEEPSEEK_MODEL_R1: str = "deepseek-reasoner"  # deepseek-R1模型
+    DEEPSEEK_MODEL_V3: str = "deepseek-chat"  # deepseek-V3模型
+    SILICONFLOW_MODEL_R1: str = "deepseek-ai/DeepSeek-R1"  # siliconflow-R1模型
+    SILICONFLOW_MODEL_R1_DISTILL: str = "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B"  # siliconflow-R1蒸馏模型
+    SILICONFLOW_MODEL_V3: str = "deepseek-ai/DeepSeek-V3"  # siliconflow-V3模型
     MODEL_R1_PROBABILITY: float = 0.8  # R1模型概率
     MODEL_V3_PROBABILITY: float = 0.1  # V3模型概率
     MODEL_R1_DISTILL_PROBABILITY: float = 0.1  # R1蒸馏模型概率
@@ -82,6 +87,9 @@ class BotConfig:
                 config.MODEL_V3_PROBABILITY = response_config.get("model_v3_probability", config.MODEL_V3_PROBABILITY)
                 config.MODEL_R1_DISTILL_PROBABILITY = response_config.get("model_r1_distill_probability", config.MODEL_R1_DISTILL_PROBABILITY)
                 config.API_USING = response_config.get("api_using", config.API_USING)
+                if response_config.get("api_using", config.API_PAID):
+                    config.SILICONFLOW_MODEL_R1 = "Pro/deepseek-ai/DeepSeek-R1"
+                    config.SILICONFLOW_MODEL_V3 = "Pro/deepseek-ai/DeepSeek-V3"
                 
             # 消息配置
             if "message" in toml_dict:

src/plugins/chat/llm_generator.py

@@ -206,13 +206,13 @@ class LLMResponseGenerator:
         if global_config.API_USING == "deepseek":
             return await self._generate_base_response(
                 message, 
-                "deepseek-reasoner",
+                global_config.DEEPSEEK_MODEL_R1,
                 {"temperature": 0.7, "max_tokens": 1024}
             )
         else:
             return await self._generate_base_response(
                 message, 
-                "Pro/deepseek-ai/DeepSeek-R1",
+                global_config.SILICONFLOW_MODEL_R1,
                 {"temperature": 0.7, "max_tokens": 1024}
             )
 
@@ -221,13 +221,13 @@ class LLMResponseGenerator:
         if global_config.API_USING == "deepseek":
             return await self._generate_base_response(
                 message, 
-                "deepseek-chat",
+                global_config.DEEPSEEK_MODEL_V3,
                 {"temperature": 0.8, "max_tokens": 1024}
             )
         else:
             return await self._generate_base_response(
                 message, 
-                "Pro/deepseek-ai/DeepSeek-V3",
+                global_config.SILICONFLOW_MODEL_V3,
                 {"temperature": 0.8, "max_tokens": 1024}
             )
 
@@ -235,7 +235,7 @@ class LLMResponseGenerator:
         """使用 DeepSeek-R1-Distill-Qwen-32B 模型生成回复"""
         return await self._generate_base_response(
             message, 
-            "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+            global_config.SILICONFLOW_MODEL_R1_DISTILL,
             {"temperature": 0.7, "max_tokens": 1024}
         )
 
@@ -270,9 +270,9 @@ class LLMResponseGenerator:
             
             loop = asyncio.get_event_loop()
             if global_config.API_USING == "deepseek":
-                model = "deepseek-chat"
+                model = global_config.DEEPSEEK_MODEL_V3
             else:
-                model = "Pro/deepseek-ai/DeepSeek-V3"
+                model = global_config.SILICONFLOW_MODEL_V3
             create_completion = partial(
                 self.client.chat.completions.create,
                 model=model,

src/plugins/chat/topic_identifier.py

@@ -3,6 +3,7 @@ from openai import OpenAI
 from .message import Message
 import jieba
 from nonebot import get_driver
+from .config import global_config
 
 driver = get_driver()
 config = driver.config  
@@ -24,7 +25,7 @@ class TopicIdentifier:
 消息内容：{text}"""
 
         response = self.client.chat.completions.create(
-            model="Pro/deepseek-ai/DeepSeek-V3",
+            model=global_config.SILICONFLOW_MODEL_V3,
             messages=[{"role": "user", "content": prompt}],
             temperature=0.8,
             max_tokens=10