245 lines
8.4 KiB
Python
245 lines
8.4 KiB
Python
import logging
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import tomllib
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import os
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import requests
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import json
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import time
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from typing import Dict, List, Optional
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from wcferry import WxMsg, Wcf
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from robot_cmd.robot_command import Feature, PermissionStatus, GroupBotManager
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class DifyChat:
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def __init__(self, wcf: Wcf, gbm: GroupBotManager):
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self.LOG = logging.getLogger(__name__)
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self.wcf = wcf
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self.gbm = gbm # 权限功能
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# 加载配置文件
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with open("dify/config.toml", "rb") as f:
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plugin_config = tomllib.load(f)
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config = plugin_config["Dify"]
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# 基本配置
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self.enable = config["enable"]
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self.api_key = config["api-key"]
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self.base_url = config["base-url"]
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self.commands = config["commands"]
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self.command_tip = config["command-tip"]
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self.price = config["price"]
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self.admin_ignore = config.get("admin_ignore", False)
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self.whitelist_ignore = config.get("whitelist_ignore", False)
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self.http_proxy = config.get("http-proxy", "")
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# 会话上下文管理，格式: {group_id/wxid: [conversation_history]}
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self.conversations: Dict[str, List[Dict]] = {}
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# tokens 消耗统计，格式: {wxid: total_tokens}
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self.token_usage: Dict[str, int] = {}
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# 最大上下文长度
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self.max_history_length = 10
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# 会话过期时间（秒）
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self.conversation_timeout = 3600 # 1小时
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self.last_activity: Dict[str, float] = {}
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self.LOG.info(f"[Dify聊天] 组件初始化完成，指令：{self.commands}")
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def handle_message(self, message: WxMsg) -> None:
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"""处理微信消息"""
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if not self.enable:
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return
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content = str(message.content).strip()
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parts = content.split(" ", 1)
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command = parts[0]
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# 检查是否是触发命令
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if command not in self.commands:
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return
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# 如果没有查询内容，返回使用提示
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if len(parts) < 2 or not parts[1].strip():
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self.wcf.send_text(self.command_tip,
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(message.roomid if message.from_group() else message.sender))
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return
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# 检查权限
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if message.from_group() and self.gbm.get_group_permission(message.roomid, Feature.AI_CAPABILITY) == PermissionStatus.DISABLED:
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return
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# 获取查询内容
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query = parts[1].strip()
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# 获取会话ID（群聊使用群ID，私聊使用个人wxid）
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session_id = message.roomid if message.from_group() else message.sender
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# 获取用户ID
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user_id = message.sender
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# 检查是否需要扣除积分
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if self.price > 0:
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# 管理员和白名单检查逻辑
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is_admin = False # 这里需要实现管理员检查逻辑
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is_whitelist = False # 这里需要实现白名单检查逻辑
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should_deduct = True
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if (self.admin_ignore and is_admin) or (self.whitelist_ignore and is_whitelist):
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should_deduct = False
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if should_deduct:
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# 这里需要实现积分扣除逻辑
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# 如果积分不足，返回提示
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pass
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try:
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# 调用Dify API获取回复
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response = self.chat_with_dify(session_id, user_id, query)
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# 发送回复
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if response:
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self.wcf.send_text(response,
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(message.roomid if message.from_group() else message.sender),
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message.sender if message.from_group() else "")
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except Exception as e:
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self.LOG.error(f"Dify聊天出错：{e}")
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self.wcf.send_text(f"-----Bot-----\n❌请求出错：{str(e)}",
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(message.roomid if message.from_group() else message.sender),
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message.sender if message.from_group() else "")
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def chat_with_dify(self, session_id: str, user_id: str, query: str) -> Optional[str]:
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"""
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与Dify API交互获取回复
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Args:
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session_id: 会话ID（群聊为群ID，私聊为个人wxid）
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user_id: 用户wxid
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query: 用户查询内容
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Returns:
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API返回的回复内容
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"""
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# 清理过期会话
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self._cleanup_expired_conversations()
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# 更新最后活动时间
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self.last_activity[session_id] = time.time()
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# 初始化会话历史
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if session_id not in self.conversations:
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self.conversations[session_id] = []
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# 准备请求头
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json"
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}
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# 准备请求数据
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data = {
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"query": query,
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"sys.files": [],
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"sys.user_id": user_id,
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"response_mode": "streaming", # 使用流式响应
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"conversation_id": session_id # 使用会话ID保持上下文
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}
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# 添加历史记录
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if self.conversations[session_id]:
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data["conversation_history"] = self.conversations[session_id]
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# 设置代理
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proxies = None
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if self.http_proxy:
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proxies = {
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"http": self.http_proxy,
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"https": self.http_proxy
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}
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# 发送请求
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url = f"{self.base_url}/chat-messages"
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response = requests.post(url, headers=headers, json=data, proxies=proxies)
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if response.status_code != 200:
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self.LOG.error(f"Dify API请求失败: {response.status_code} {response.text}")
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return f"请求失败，状态码: {response.status_code}"
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# 解析响应
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result = response.json()
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# 提取回复内容
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answer = result.get("answer", "")
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# 更新会话历史
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self.conversations[session_id].append({
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"role": "user",
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"content": query
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})
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self.conversations[session_id].append({
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"role": "assistant",
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"content": answer
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})
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# 限制会话历史长度
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if len(self.conversations[session_id]) > self.max_history_length * 2:
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self.conversations[session_id] = self.conversations[session_id][-self.max_history_length * 2:]
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# 统计token使用情况
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if "usage" in result and "total_tokens" in result["usage"]:
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total_tokens = result["usage"]["total_tokens"]
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if user_id in self.token_usage:
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self.token_usage[user_id] += total_tokens
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else:
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self.token_usage[user_id] = total_tokens
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self.LOG.info(f"用户 {user_id} 本次消耗 {total_tokens} tokens，累计 {self.token_usage[user_id]} tokens")
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return answer
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def _cleanup_expired_conversations(self) -> None:
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"""清理过期的会话"""
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current_time = time.time()
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expired_sessions = []
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for session_id, last_time in self.last_activity.items():
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if current_time - last_time > self.conversation_timeout:
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expired_sessions.append(session_id)
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for session_id in expired_sessions:
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if session_id in self.conversations:
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del self.conversations[session_id]
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del self.last_activity[session_id]
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if expired_sessions:
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self.LOG.info(f"已清理 {len(expired_sessions)} 个过期会话")
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def get_token_usage_report(self) -> str:
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"""获取token使用情况报告"""
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if not self.token_usage:
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return "暂无token使用记录"
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report = "Token使用情况统计：\n"
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for user_id, tokens in sorted(self.token_usage.items(), key=lambda x: x[1], reverse=True):
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report += f"用户 {user_id}: {tokens} tokens\n"
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total = sum(self.token_usage.values())
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report += f"\n总计: {total} tokens"
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return report
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def reset_conversation(self, session_id: str) -> bool:
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"""重置指定会话的上下文"""
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if session_id in self.conversations:
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del self.conversations[session_id]
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if session_id in self.last_activity:
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del self.last_activity[session_id]
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return True
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return False
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def reset_all_conversations(self) -> None:
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"""重置所有会话上下文"""
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self.conversations.clear()
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self.last_activity.clear() |