update：修改版本号，修改默认max_token，修改hangelog
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SengokuCola
@@ -2,20 +2,31 @@
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## [0.11.0] - 2025-9-22
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### 🌟 主要功能更改
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- 重构记忆系统，新的记忆系统更可靠，记忆能力更强大
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- 麦麦好奇功能，麦麦会自主提出问题
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- 添加deepthink插件（默认关闭），让麦麦可以深度思考一些问题
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- 重构记忆系统，新的记忆系统更可靠，双通道查询，可以查询文本记忆和过去聊天记录
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- 主动发言功能，麦麦会自主提出问题（可精细调控频率）
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- 支持多重人格设定，可以随机切换成不同状态
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- 新增表达方式学习新模式，更少的占用
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- 添加表情包管理插件
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- 现可更好的支持多平台
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- 添加deepthink插件（默认关闭），让麦麦可以深度思考一些问题
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- 现已内置BetterFrequency插件
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### 细节功能更改
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- 修复配置文件转义问题
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- 情绪系统现在可以由配置文件控制开关
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- 修复平行动作控制失效的问题
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- 添加planner防抖，防止短时间快速消耗token
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- 优化planner历史状态记录
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- 修复吞字问题
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- 修复意外换行问题
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- 移除VLM的token限制
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- 为tool工具添加chat_id字段
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- 更新依赖表
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- 修复负载均衡
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- 优化了对gemini和不同模型的支持
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- 现统计模型名而不是模型标识符
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- 修改默认推荐模型为ds v3.2
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- 优化了对gemini和不同模型的支持，优化了对gemini搜索的支持
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## [0.10.3] - 2025-9-22
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### 🌟 主要功能更改
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@@ -1,121 +0,0 @@
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from typing import Tuple
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# 导入新插件系统
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from src.plugin_system import BaseAction, ActionActivationType
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# 导入依赖的系统组件
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from src.common.logger import get_logger
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# 导入API模块
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from src.plugin_system.apis import frequency_api, send_api, config_api, generator_api
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logger = get_logger("frequency_adjust")
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class FrequencyAdjustAction(BaseAction):
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"""频率调节动作 - 调整聊天发言频率"""
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activation_type = ActionActivationType.LLM_JUDGE
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parallel_action = False
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# 动作基本信息
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action_name = "frequency_adjust"
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action_description = "调整当前聊天的发言频率"
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# 动作参数定义
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action_parameters = {
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"direction": "调整方向：'increase'（增加）或'decrease'（降低）",
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}
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# 动作使用场景
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bot_name = config_api.get_global_config("bot.nickname")
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action_require = [
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f"当用户提到 {bot_name} 太安静或太活跃时使用",
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f"有人提到 {bot_name} 的发言太多或太少",
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f"需要根据聊天氛围调整 {bot_name} 的活跃度",
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]
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# 关联类型
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associated_types = ["text"]
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async def execute(self) -> Tuple[bool, str]:
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"""执行频率调节动作"""
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try:
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# 1. 获取动作参数
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direction = self.action_data.get("direction")
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# multiply = 1.2
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# multiply = self.action_data.get("multiply")
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if not direction:
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error_msg = "缺少必要的参数：direction或multiply"
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logger.error(f"{self.log_prefix} {error_msg}")
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return False, error_msg
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# 2. 获取当前频率值
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current_frequency = frequency_api.get_current_talk_value(self.chat_id)
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# 3. 计算新的频率值（使用比率而不是绝对值）
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# calculated_frequency = current_frequency * multiply
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if direction == "increase":
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calculated_frequency = current_frequency * 1.2
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if calculated_frequency > 1.0:
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new_frequency = 1.0
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action_desc = f"增加到最大值"
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# 记录超出限制的action
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logger.warning(f"{self.log_prefix} 尝试调整频率超出最大值: current={current_frequency:.2f}, calculated={calculated_frequency:.2f}")
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await self.store_action_info(
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action_build_into_prompt=True,
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action_prompt_display=f"你尝试调整发言频率到{calculated_frequency:.2f}，但最大值只能为1.0，已设置为最大值",
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action_done=True,
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)
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return True, f"调整发言频率超出限制: {current_frequency:.2f} → {new_frequency:.2f}"
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else:
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new_frequency = calculated_frequency
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action_desc = f"增加"
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elif direction == "decrease":
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calculated_frequency = current_frequency * 0.8
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new_frequency = max(0.0, calculated_frequency)
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action_desc = f"降低"
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else:
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error_msg = f"无效的调整方向: {direction}"
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logger.error(f"{self.log_prefix} {error_msg}")
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return False, error_msg
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# 4. 设置新的频率值
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frequency_api.set_talk_frequency_adjust(self.chat_id, new_frequency)
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# 5. 发送反馈消息
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feedback_msg = f"已{action_desc}发言频率：{current_frequency:.2f} → {new_frequency:.2f}"
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result_status, data = await generator_api.rewrite_reply(
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chat_stream=self.chat_stream,
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reply_data={
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"raw_reply": feedback_msg,
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"reason": "表达自己已经调整了发言频率，不一定要说具体数值，可以有趣一些",
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},
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)
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if result_status:
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for reply_seg in data.reply_set.reply_data:
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send_data = reply_seg.content
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await self.send_text(send_data)
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logger.info(f"{self.log_prefix} {send_data}")
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# 6. 存储动作信息（仅在未超出限制时）
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if calculated_frequency <= 1.0:
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await self.store_action_info(
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action_build_into_prompt=True,
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action_prompt_display=f"你{action_desc}了发言频率，从{current_frequency:.2f}调整到{new_frequency:.2f}",
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action_done=True,
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)
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return True, f"成功调整发言频率: {current_frequency:.2f} → {new_frequency:.2f}"
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except Exception as e:
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error_msg = f"频率调节失败: {str(e)}"
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logger.error(f"{self.log_prefix} {error_msg}", exc_info=True)
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await self.send_text("频率调节失败")
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return False, error_msg
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@@ -1,4 +1,4 @@
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from typing import List, Tuple, Type, Any, Optional
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from typing import List, Tuple, Type, Optional
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from src.plugin_system import (
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BasePlugin,
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register_plugin,
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@@ -7,8 +7,6 @@ from src.plugin_system import (
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ConfigField
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)
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from src.plugin_system.apis import send_api, frequency_api
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from .frequency_adjust_action import FrequencyAdjustAction
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class SetTalkFrequencyCommand(BaseCommand):
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"""设置当前聊天的talk_frequency值"""
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@@ -136,10 +134,6 @@ class BetterFrequencyPlugin(BasePlugin):
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"max_adjust_value": ConfigField(type=float, default=1.0, description="最大调整值"),
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"min_adjust_value": ConfigField(type=float, default=0.0, description="最小调整值"),
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},
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# "features": {
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# "enable_frequency_adjust_action": ConfigField(type=bool, default=False, description="是否启用频率调节动作（FrequencyAdjustAction）"),
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# "enable_commands": ConfigField(type=bool, default=True, description="是否启用命令功能（/chat命令）"),
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# }
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}
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def get_plugin_components(self) -> List[Tuple[ComponentInfo, Type]]:
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@@ -152,8 +146,5 @@ class BetterFrequencyPlugin(BasePlugin):
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(ShowFrequencyCommand.get_command_info(), ShowFrequencyCommand),
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])
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# 根据配置决定是否注册频率调节动作组件
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# if self.config.get("features", {}).get("enable_frequency_adjust_action", True):
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# components.append((FrequencyAdjustAction.get_action_info(), FrequencyAdjustAction))
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return components
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File diff suppressed because it is too large
Load Diff
@@ -98,8 +98,8 @@ class FrequencyControl:
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prompt,
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)
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logger.info(f"频率调整 prompt: {prompt}")
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logger.info(f"频率调整 response: {response}")
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# logger.info(f"频率调整 prompt: {prompt}")
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# logger.info(f"频率调整 response: {response}")
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if global_config.debug.show_prompt:
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logger.info(f"频率调整 prompt: {prompt}")
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@@ -133,7 +133,7 @@ class DefaultReplyer:
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try:
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content, reasoning_content, model_name, tool_call = await self.llm_generate_content(prompt)
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logger.debug(f"replyer生成内容: {content}")
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# logger.debug(f"replyer生成内容: {content}")
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logger.info(f"replyer生成内容: {content}")
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logger.info(f"replyer生成推理: {reasoning_content}")
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@@ -998,7 +998,7 @@ class DefaultReplyer:
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async def llm_generate_content(self, prompt: str):
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with Timer("LLM生成", {}): # 内部计时器，可选保留
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# 直接使用已初始化的模型实例
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logger.info(f"\n{prompt}\n")
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# logger.info(f"\n{prompt}\n")
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if global_config.debug.show_prompt:
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logger.info(f"\n{prompt}\n")
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@@ -55,7 +55,7 @@ TEMPLATE_DIR = os.path.join(PROJECT_ROOT, "template")
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# 考虑到，实际上配置文件中的mai_version是不会自动更新的,所以采用硬编码
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# 对该字段的更新，请严格参照语义化版本规范：https://semver.org/lang/zh-CN/
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MMC_VERSION = "0.11.0-snapshot.3"
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MMC_VERSION = "0.11.0"
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def get_key_comment(toml_table, key):
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@@ -1,5 +1,5 @@
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[inner]
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version = "1.7.6"
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version = "1.7.7"
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# 配置文件版本号迭代规则同bot_config.toml
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@@ -121,7 +121,7 @@ max_tokens = 800
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[model_task_config.replyer] # 首要回复模型，还用于表达器和表达方式学习
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model_list = ["siliconflow-deepseek-v3.2-think","siliconflow-deepseek-r1","siliconflow-deepseek-v3.2"]
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temperature = 0.3 # 模型温度，新V3建议0.1-0.3
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max_tokens = 800
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max_tokens = 2048
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[model_task_config.planner] #决策：负责决定麦麦该什么时候回复的模型
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model_list = ["siliconflow-deepseek-v3.2"]
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