fix:实例化 normal_chat,支持不同子聊天拥有不同参数,修复各种问题
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@@ -8,7 +8,6 @@ from ..chat.utils import process_llm_response
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from ..utils.timer_calculater import Timer
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from src.common.logger import get_module_logger, LogConfig, LLM_STYLE_CONFIG
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from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
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from src.heart_flow.sub_heartflow import SubHeartflow
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# 定义日志配置
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llm_config = LogConfig(
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@@ -41,9 +40,7 @@ class ResponseGenerator:
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self.current_model_type = "r1" # 默认使用 R1
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self.current_model_name = "unknown model"
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async def generate_response(
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self, sub_hf: SubHeartflow, message: MessageThinking, thinking_id: str
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) -> Optional[Union[str, List[str]]]:
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async def generate_response(self, message: MessageThinking, thinking_id: str) -> Optional[Union[str, List[str]]]:
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"""根据当前模型类型选择对应的生成函数"""
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# 从global_config中获取模型概率值并选择模型
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if random.random() < global_config.model_reasoning_probability:
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@@ -57,9 +54,7 @@ class ResponseGenerator:
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f"{self.current_model_type}思考:{message.processed_plain_text[:30] + '...' if len(message.processed_plain_text) > 30 else message.processed_plain_text}"
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) # noqa: E501
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model_response = await self._generate_response_with_model(sub_hf, message, current_model, thinking_id)
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# print(f"raw_content: {model_response}")
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model_response = await self._generate_response_with_model(message, current_model, thinking_id)
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if model_response:
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logger.info(f"{global_config.BOT_NICKNAME}的回复是:{model_response}")
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@@ -70,9 +65,7 @@ class ResponseGenerator:
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logger.info(f"{self.current_model_type}思考,失败")
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return None
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async def _generate_response_with_model(
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self, sub_hf: SubHeartflow, message: MessageThinking, model: LLMRequest, thinking_id: str
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):
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async def _generate_response_with_model(self, message: MessageThinking, model: LLMRequest, thinking_id: str):
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info_catcher = info_catcher_manager.get_info_catcher(thinking_id)
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if message.chat_stream.user_info.user_cardname and message.chat_stream.user_info.user_nickname:
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