Merge upstream/main with local fsapp.py preserved

.gitignore

@@ -60,6 +60,11 @@ memory/*
 # Plan SOP
 !memory/plan_sop.md
 
+# Skill Search SOP
+!memory/skill_search/
+!memory/skill_search/**
+memory/skill_search/**/__pycache__/
+
 # ADB UI tool
 !memory/adb_ui.py
 

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2025 lsdefine
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -226,6 +226,8 @@ The entire core loop is just **92 lines of code** (`agent_loop.py`).
 | `web_execute_js` | Control browser behavior |
 | `ask_user` | Human-in-the-loop confirmation |
 
+> Additionally, 2 **memory management tools** (`update_working_checkpoint`, `start_long_term_update`) allow the agent to persist context and accumulate experience across sessions.
+
 4️⃣ **Capability Extension Mechanism**
 > _Capable of dynamically creating new tools._
 
@@ -304,7 +306,7 @@ MIT License — see [LICENSE](LICENSE)
 
 ## 📅 最新动态
 
-- **2026-03-:** [发布百万级 Skill 库](https://mp.weixin.qq.com/s/q2gQ7YvWoiAcwxzaiwpuiQ?scene=1&click_id=7)
+- **2026-03-10:** [发布百万级 Skill 库](https://mp.weixin.qq.com/s/q2gQ7YvWoiAcwxzaiwpuiQ?scene=1&click_id=7)
 - **2026-03-08:** [发布以 GenericAgent 为核心的"政务龙虾" Dintal Claw](https://mp.weixin.qq.com/s/eiEhwo-j6S-WpLxgBnNxBg)
 - **2026-03-01:** [GenericAgent 被机器之心报道](https://mp.weixin.qq.com/s/uVWpTTF5I1yzAENV_qm7yg)
 - **2026-01-11:** GenericAgent V1.0 公开版本发布
@@ -476,6 +478,8 @@ GenericAgent 通过**分层记忆 × 最小工具集 × 自主执行循环**完
 | `web_execute_js` | 控制浏览器行为 |
 | `ask_user` | 人机协作确认 |
 
+> 此外，还有 2 个**记忆管理工具**（`update_working_checkpoint`、`start_long_term_update`），使 Agent 能够跨会话积累经验、维持持久上下文。
+
 4️⃣ **能力扩展机制**
 > 具备动态创建新的工具能力
 >

TMWebDriver.py

@@ -34,7 +34,7 @@ class Session:
 
 
 class TMWebDriver:  
-    def __init__(self, host: str = 'localhost', port: int = 18765):  
+    def __init__(self, host: str = '127.0.0.1', port: int = 18765):  
         self.host, self.port = host, port
         self.sessions, self.results, self.acks = {}, {}, {}
         self.default_session_id = None  
@@ -202,7 +202,7 @@ class TMWebDriver:
         hasjump = acked = False
 
         while exec_id not in self.results:  
-            time.sleep(0.5)  
+            time.sleep(0.2)  
             if not acked and exec_id in self.acks:
                 acked = True; start_time = time.time()
             if tp == 'ws':
@@ -266,4 +266,4 @@ class TMWebDriver:
         return self.execute_js(f'GM_openInTab("{url}");')
     
 if __name__ == "__main__":
-    driver = TMWebDriver(host='localhost', port=18765)
+    driver = TMWebDriver(host='127.0.0.1', port=18765)

agentmain.py

@@ -38,23 +38,16 @@ def get_system_prompt():
 class GeneraticAgent:
     def __init__(self):
         script_dir = os.path.dirname(os.path.abspath(__file__))
-        temp_dir = os.path.join(script_dir, 'temp')
+        os.makedirs(os.path.join(script_dir, 'temp'), exist_ok=True)
-        if not os.path.exists(temp_dir): os.makedirs(temp_dir)
         from llmcore import mykeys
         llm_sessions = []
         for k, cfg in mykeys.items():
             if not any(x in k for x in ['api', 'config', 'cookie']): continue
             try:
-                if 'claude' in k: llm_sessions += [ClaudeSession(api_key=cfg['apikey'], api_base=cfg['apibase'], model=cfg['model'])]
+                if 'claude' in k: llm_sessions += [ClaudeSession(cfg=cfg)]
-                if 'oai' in k: llm_sessions += [LLMSession(
+                if 'oai' in k: llm_sessions += [LLMSession(cfg=cfg)]
-                    api_key=cfg['apikey'], api_base=cfg['apibase'], model=cfg['model'], proxy=cfg.get('proxy'),
+                if 'xai' in k: llm_sessions += [XaiSession(cfg=cfg)]
-                    api_mode=cfg.get('api_mode', 'chat_completions'),
+                if 'sider' in k: llm_sessions += [SiderLLMSession(cfg={'apikey': cfg, 'model': x}) for x in \
-                    max_retries=cfg.get('max_retries', 2),
-                    connect_timeout=cfg.get('connect_timeout', 10),
-                    read_timeout=cfg.get('read_timeout', 120),
-                )]
-                if 'xai' in k: llm_sessions += [XaiSession(cfg, mykeys.get('proxy', ''))]
-                if 'sider' in k: llm_sessions += [SiderLLMSession(cfg, default_model=x) for x in \
                                     ["gemini-3.0-flash", "gpt-5.4"]]
             except: pass
         if len(llm_sessions) > 0: self.llmclient = ToolClient(llm_sessions, auto_save_tokens=True)
@@ -63,10 +56,8 @@ class GeneraticAgent:
         self.history = []               
         self.task_queue = queue.Queue() 
         self.is_running, self.stop_sig = False, False
-        self.llm_no = 0
+        self.llm_no = 0;  self.inc_out = False
-        self.inc_out = False
+        self.handler = None; self.verbose = True
-        self.handler = None
-        self.verbose = True
 
     def next_llm(self, n=-1):
         self.llm_no = ((self.llm_no + 1) if n < 0 else n) % len(self.llmclient.backends)
@@ -80,8 +71,7 @@ class GeneraticAgent:
         print('Abort current task...')
         if not self.is_running: return
         self.stop_sig = True
-        if self.handler is not None: 
+        if self.handler is not None: self.handler.code_stop_signal.append(1)
-            self.handler.code_stop_signal.append(1)
             
     def put_task(self, query, source="user", images=None):
         display_queue = queue.Queue()
@@ -99,10 +89,11 @@ class GeneraticAgent:
             sys_prompt = get_system_prompt()
             script_dir = os.path.dirname(os.path.abspath(__file__))
             handler = GenericAgentHandler(None, self.history, os.path.join(script_dir, 'temp'))
-            if self.handler and self.handler.key_info: 
+            if self.handler and 'key_info' in self.handler.working: 
-                handler.key_info = self.handler.key_info
+                ki = re.sub(r'\n\[SYSTEM\] 此为.*?工作记忆[。\n]*', '', self.handler.working['key_info'])  # 去旧
-                if '清除工作记忆' not in handler.key_info:
+                handler.working['key_info'] = ki
-                    handler.key_info += '\n[SYSTEM] 若开始新任务，先更新或清除工作记忆\n'
+                handler.working['passed_sessions'] = ps = self.handler.working.get('passed_sessions', 0) + 1
+                if ps > 0: handler.working['key_info'] += f'\n[SYSTEM] 此为 {ps} 个对话前设置的key_info，若已在新任务，先更新或清除工作记忆。\n'
             self.handler = handler
             self.llmclient.backend = self.llmclient.backends[self.llm_no]
             user_input = raw_query
@@ -154,7 +145,6 @@ if __name__ == '__main__':
     threading.Thread(target=agent.run, daemon=True).start()
 
     if args.task:
-        script_dir = os.path.dirname(os.path.abspath(__file__))
         d = os.path.join(script_dir, f'temp/{args.task}'); rp = os.path.join(d, 'reply.txt'); nround = ''
         with open(os.path.join(d, 'input.txt'), encoding='utf-8') as f: raw = f.read()
         while True:
@@ -189,11 +179,13 @@ if __name__ == '__main__':
             try:
                 while 'done' not in (item := dq.get(timeout=120)): pass
                 result = item['done']
+                print(result)
             except Exception as e:
                 if once: raise
                 print(f'[Reflect] drain error: {e}'); result = f'[ERROR] {e}'
-            script_dir = os.path.dirname(os.path.abspath(__file__))
+            log_dir = os.path.join(script_dir, 'temp/reflect_logs'); os.makedirs(log_dir, exist_ok=True)
-            open(os.path.join(script_dir, './temp/reflect.log'), 'a', encoding='utf-8').write(f'[{datetime.now():%m-%d %H:%M}]\n{result}\n\n')
+            script_name = os.path.splitext(os.path.basename(args.reflect))[0]
+            open(os.path.join(log_dir, f'{script_name}_{datetime.now():%Y-%m-%d}.log'), 'a', encoding='utf-8').write(f'[{datetime.now():%m-%d %H:%M}]\n{result}\n\n')
             if on_done:
                 try: on_done(result)
                 except Exception as e: print(f'[Reflect] on_done error: {e}')

assets/global_mem_insight_template.txt

@@ -1,20 +1,23 @@
 # [Global Memory Insight]
-# 【引导注释 - 使用后请删除整个注释块】
+浏览器自动化: web_scan/web_execute_js直接调用 | 特殊:tmwebdriver_sop(文件上传/图搜/PDF blob/元素物理坐标/Cookie提取含HttpOnly/跨域iframe操控/CDP/跨tab/后台tab操作)
-# 格式：两层「场景→记忆」映射 + RULES，总计≤30行
+键鼠模拟: ljqCtrl_sop+.py(仅win，禁pyautogui/先activate窗口)
-#
+定时任务: scheduled_task_sop(报告→sche_tasks/done/) | 与自主任务完全独立
-# == 第一层：高频场景 key→value ==
+自主探索任务: autonomous_operation_sop(报告→temp/autonomous_reports/history.txt，不在memory下) | 与定时任务完全独立
-# 每行格式: 触发场景关键词: sop名/py名/L2:section名(关键参数)
+手机操控: adb_ui.py
-# 示例: 境外网站/API: proxies={'https':'http://127.0.0.1:2082'}
-# 示例: 微信发消息: wechat_send_sop | 微信读聊天: wechat_db_sop+wechat_db_utils(quick_connect)
-# 可用 | 分隔同类场景，括号内放硬参数
-#
-# == 第二层：低频关键词，自包含可只写一个词 ==
-# 格式: 一行内用 | 分隔多个关键词，需要时 read L2 或 ls memory/ 查详情
-# 示例: 邮件ezgmail | 游戏game | OCR | 华为云Huawei_Cloud
-#
-# == [RULES] ==
-# 压缩的通用操作准则，每条一行
-# 示例: 1. 搜索先行: 文件用es, 信息用google, 禁猜路径
 
+需要时read L2 或 ls ../memory/ 查L3
 L0(META-SOP): memory_management_sop
-出厂L3: web_setup_sop | autonomous_operation_sop | scheduled_task_sop | ljqCtrl_sop+.py | tmwebdriver_sop | subagent_sop | plan_sop | mem_scanner.py | adb_ui.py
+L2: 现空
+L3: web_setup_sop | autonomous_operation_sop | scheduled_task_sop | ljqCtrl_sop+.py | tmwebdriver_sop | subagent_sop | plan_sop | mem_scanner.py | adb_ui.py
+
+[RULES]
+1. 搜索先行: 信息尽量用google（必须web）, 项目内os.listdir, 禁猜路径
+2. 交叉验证: 禁信搜索摘要, 数值必进详情页核实
+3. 编码安全: 改前必读源码; import memory用sys.path.append
+4. 闭环: 物理模拟后必确认; 3次失败请求干预; 
+5. 进程: 禁无条件杀python(会杀自己), 精确PID, 禁os.kill判活
+6. 窗口: GUI状态优先枚举窗口, 比OCR快
+7. 物理红线: cwd用./; cwd指定后代码内禁用../向上切换，改用绝对路径
+8. web JS: 一次写对，输入用原生setter+事件链，点击前检查disabled，注意引号转义; scan空再scan或innerText
+9. SOP: 执行前读取缓存硬参数,禁凭印象,有utils必用; 复杂长程先读plan_sop
+10. 用户提及或复杂长程需规划任务要读plan_sop进入规划模式

assets/ljq_web_driver.user.js

@@ -11,7 +11,7 @@
 // @grant        GM_xmlhttpRequest
 // @grant        GM_openInTab
 // @grant        unsafeWindow
-// @connect      localhost
+// @connect      127.0.0.1
 // @run-at       document-start
 // ==/UserScript==
 
@@ -26,13 +26,13 @@
         return;
     }
 
-    const wsUrl = 'ws://localhost:18765';
+    const wsUrl = 'ws://127.0.0.1:18765';
-    const httpUrl = 'http://localhost:18766/';
+    const httpUrl = 'http://127.0.0.1:18766/';
     
     function isWebSocketServerAlive(callback) {
         GM_xmlhttpRequest({
             method: 'GET',
-            url: 'http://localhost:18765/',
+            url: 'http://127.0.0.1:18765/',
             onload: () => callback(true),
             onerror: () => callback(false)
         });

chatapp_common.py

@@ -0,0 +1,186 @@
+import asyncio, glob, os, queue as Q, re, socket, sys, time
+
+HELP_TEXT = "📖 命令列表:\n/help - 显示帮助\n/status - 查看状态\n/stop - 停止当前任务\n/new - 清空当前上下文\n/restore - 恢复上次对话历史\n/llm [n] - 查看或切换模型"
+FILE_HINT = "If you need to show files to user, use [FILE:filepath] in your response."
+TAG_PATS = [r"<" + t + r">.*?</" + t + r">" for t in ("thinking", "summary", "tool_use", "file_content")]
+
+
+def clean_reply(text):
+    for pat in TAG_PATS:
+        text = re.sub(pat, "", text or "", flags=re.DOTALL)
+    return re.sub(r"\n{3,}", "\n\n", text).strip() or "..."
+
+
+def extract_files(text):
+    return re.findall(r"\[FILE:([^\]]+)\]", text or "")
+
+
+def strip_files(text):
+    return re.sub(r"\[FILE:[^\]]+\]", "", text or "").strip()
+
+
+def split_text(text, limit):
+    text, parts = (text or "").strip() or "...", []
+    while len(text) > limit:
+        cut = text.rfind("\n", 0, limit)
+        if cut < limit * 0.6:
+            cut = limit
+        parts.append(text[:cut].rstrip())
+        text = text[cut:].lstrip()
+    return parts + ([text] if text else []) or ["..."]
+
+
+def format_restore():
+    files = glob.glob("./temp/model_responses_*.txt")
+    if not files:
+        return None, "❌ 没有找到历史记录"
+    latest = max(files, key=os.path.getmtime)
+    with open(latest, "r", encoding="utf-8") as f:
+        content = f.read()
+    users = re.findall(r"=== USER ===\n(.+?)(?==== |$)", content, re.DOTALL)
+    resps = re.findall(r"=== Response ===.*?\n(.+?)(?==== Prompt|$)", content, re.DOTALL)
+    restored = []
+    for u, r in zip(users, resps):
+        u, r = u.strip(), r.strip()[:500]
+        if u and r:
+            restored.extend([f"[USER]: {u}", f"[Agent] {r}"])
+    if not restored:
+        return None, "❌ 历史记录里没有可恢复内容"
+    return (restored, os.path.basename(latest), len(restored) // 2), None
+
+
+def build_done_text(raw_text):
+    files = [p for p in extract_files(raw_text) if os.path.exists(p)]
+    body = strip_files(clean_reply(raw_text))
+    if files:
+        body = (body + "\n\n" if body else "") + "\n".join(f"生成文件: {p}" for p in files)
+    return body or "..."
+
+
+def public_access(allowed):
+    return not allowed or "*" in allowed
+
+
+def to_allowed_set(value):
+    if value is None:
+        return set()
+    if isinstance(value, str):
+        value = [value]
+    return {str(x).strip() for x in value if str(x).strip()}
+
+
+def allowed_label(allowed):
+    return "public" if public_access(allowed) else sorted(allowed)
+
+
+def ensure_single_instance(port, label):
+    try:
+        lock_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+        lock_sock.bind(("127.0.0.1", port))
+        return lock_sock
+    except OSError:
+        print(f"[{label}] Another instance is already running, skipping...")
+        sys.exit(1)
+
+
+def require_runtime(agent, label, **required):
+    missing = [k for k, v in required.items() if not v]
+    if missing:
+        print(f"[{label}] ERROR: please set {', '.join(missing)} in mykey.py or mykey.json")
+        sys.exit(1)
+    if agent.llmclient is None:
+        print(f"[{label}] ERROR: no usable LLM backend found in mykey.py or mykey.json")
+        sys.exit(1)
+
+
+def redirect_log(script_file, log_name, label, allowed):
+    log_dir = os.path.join(os.path.dirname(script_file), "temp")
+    os.makedirs(log_dir, exist_ok=True)
+    logf = open(os.path.join(log_dir, log_name), "a", encoding="utf-8", buffering=1)
+    sys.stdout = sys.stderr = logf
+    print(f"[NEW] {label} process starting, the above are history infos ...")
+    print(f"[{label}] allow list: {allowed_label(allowed)}")
+
+
+class AgentChatMixin:
+    label = "Chat"
+    source = "chat"
+    split_limit = 1500
+    ping_interval = 20
+
+    def __init__(self, agent, user_tasks):
+        self.agent, self.user_tasks = agent, user_tasks
+
+    async def send_text(self, chat_id, content, **ctx):
+        raise NotImplementedError
+
+    async def send_done(self, chat_id, raw_text, **ctx):
+        await self.send_text(chat_id, build_done_text(raw_text), **ctx)
+
+    async def handle_command(self, chat_id, cmd, **ctx):
+        parts = (cmd or "").split()
+        op = (parts[0] if parts else "").lower()
+        if op == "/stop":
+            state = self.user_tasks.get(chat_id)
+            if state:
+                state["running"] = False
+            self.agent.abort()
+            return await self.send_text(chat_id, "⏹️ 正在停止...", **ctx)
+        if op == "/status":
+            llm = self.agent.get_llm_name() if self.agent.llmclient else "未配置"
+            return await self.send_text(chat_id, f"状态: {'🔴 运行中' if self.agent.is_running else '🟢 空闲'}\nLLM: [{self.agent.llm_no}] {llm}", **ctx)
+        if op == "/llm":
+            if not self.agent.llmclient:
+                return await self.send_text(chat_id, "❌ 当前没有可用的 LLM 配置", **ctx)
+            if len(parts) > 1:
+                try:
+                    self.agent.next_llm(int(parts[1]))
+                    return await self.send_text(chat_id, f"✅ 已切换到 [{self.agent.llm_no}] {self.agent.get_llm_name()}", **ctx)
+                except Exception:
+                    return await self.send_text(chat_id, f"用法: /llm <0-{len(self.agent.list_llms()) - 1}>", **ctx)
+            lines = [f"{'→' if cur else '  '} [{i}] {name}" for i, name, cur in self.agent.list_llms()]
+            return await self.send_text(chat_id, "LLMs:\n" + "\n".join(lines), **ctx)
+        if op == "/restore":
+            try:
+                restored_info, err = format_restore()
+                if err:
+                    return await self.send_text(chat_id, err, **ctx)
+                restored, fname, count = restored_info
+                self.agent.abort()
+                self.agent.history.extend(restored)
+                return await self.send_text(chat_id, f"✅ 已恢复 {count} 轮对话\n来源: {fname}\n(仅恢复上下文，请输入新问题继续)", **ctx)
+            except Exception as e:
+                return await self.send_text(chat_id, f"❌ 恢复失败: {e}", **ctx)
+        if op == "/new":
+            self.agent.abort()
+            self.agent.history = []
+            return await self.send_text(chat_id, "🆕 已清空当前共享上下文", **ctx)
+        return await self.send_text(chat_id, HELP_TEXT, **ctx)
+
+    async def run_agent(self, chat_id, text, **ctx):
+        state = {"running": True}
+        self.user_tasks[chat_id] = state
+        try:
+            await self.send_text(chat_id, "思考中...", **ctx)
+            dq = self.agent.put_task(f"{FILE_HINT}\n\n{text}", source=self.source)
+            last_ping = time.time()
+            while state["running"]:
+                try:
+                    item = await asyncio.to_thread(dq.get, True, 3)
+                except Q.Empty:
+                    if self.agent.is_running and time.time() - last_ping > self.ping_interval:
+                        await self.send_text(chat_id, "⏳ 还在处理中，请稍等...", **ctx)
+                        last_ping = time.time()
+                    continue
+                if "done" in item:
+                    await self.send_done(chat_id, item.get("done", ""), **ctx)
+                    break
+            if not state["running"]:
+                await self.send_text(chat_id, "⏹️ 已停止", **ctx)
+        except Exception as e:
+            import traceback
+            print(f"[{self.label}] run_agent error: {e}")
+            traceback.print_exc()
+            await self.send_text(chat_id, f"❌ 错误: {e}", **ctx)
+        finally:
+            self.user_tasks.pop(chat_id, None)

dingtalkapp.py

@@ -1,8 +1,9 @@
-import os, sys, re, threading, asyncio, queue as Q, socket, time, glob, json
+import asyncio, json, os, sys, threading, time
 import requests
 
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 from agentmain import GeneraticAgent
+from chatapp_common import AgentChatMixin, ensure_single_instance, public_access, redirect_log, require_runtime, split_text
 from llmcore import mykeys
 
 try:
@@ -12,82 +13,26 @@ except Exception:
     print("Please install dingtalk-stream to use DingTalk: pip install dingtalk-stream")
     sys.exit(1)
 
-agent = GeneraticAgent()
+agent = GeneraticAgent(); agent.verbose = False
-agent.verbose = False
-
 CLIENT_ID = str(mykeys.get("dingtalk_client_id", "") or "").strip()
 CLIENT_SECRET = str(mykeys.get("dingtalk_client_secret", "") or "").strip()
 ALLOWED = {str(x).strip() for x in mykeys.get("dingtalk_allowed_users", []) if str(x).strip()}
-
+USER_TASKS = {}
-_TAG_PATS = [r"<" + t + r">.*?</" + t + r">" for t in ("thinking", "summary", "tool_use", "file_content")]
-_USER_TASKS = {}
 
 
-def _clean(text):
+class DingTalkApp(AgentChatMixin):
-    for pat in _TAG_PATS:
+    label, source, split_limit = "DingTalk", "dingtalk", 1800
-        text = re.sub(pat, "", text, flags=re.DOTALL)
-    return re.sub(r"\n{3,}", "\n\n", text).strip() or "..."
 
-
-def _extract_files(text):
-    return re.findall(r"\[FILE:([^\]]+)\]", text or "")
-
-
-def _strip_files(text):
-    return re.sub(r"\[FILE:[^\]]+\]", "", text or "").strip()
-
-
-def _split_text(text, limit=1800):
-    text = (text or "").strip() or "..."
-    parts = []
-    while len(text) > limit:
-        cut = text.rfind("\n", 0, limit)
-        if cut < limit * 0.6:
-            cut = limit
-        parts.append(text[:cut].rstrip())
-        text = text[cut:].lstrip()
-    if text:
-        parts.append(text)
-    return parts or ["..."]
-
-
-def _format_restore():
-    files = glob.glob("./temp/model_responses_*.txt")
-    if not files:
-        return None, "❌ 没有找到历史记录"
-    latest = max(files, key=os.path.getmtime)
-    with open(latest, "r", encoding="utf-8") as f:
-        content = f.read()
-    users = re.findall(r"=== USER ===\n(.+?)(?==== |$)", content, re.DOTALL)
-    resps = re.findall(r"=== Response ===.*?\n(.+?)(?==== Prompt|$)", content, re.DOTALL)
-    count, restored = 0, []
-    for u, r in zip(users, resps):
-        u, r = u.strip(), r.strip()[:500]
-        if u and r:
-            restored.extend([f"[USER]: {u}", f"[Agent] {r}"])
-            count += 1
-    if not restored:
-        return None, "❌ 历史记录里没有可恢复内容"
-    return (restored, os.path.basename(latest), count), None
-
-
-class DingTalkApp:
     def __init__(self):
-        self.client = None
+        super().__init__(agent, USER_TASKS)
-        self.access_token = None
+        self.client, self.access_token, self.token_expiry, self.background_tasks = None, None, 0, set()
-        self.token_expiry = 0
-        self.background_tasks = set()
 
     async def _get_access_token(self):
         if self.access_token and time.time() < self.token_expiry:
             return self.access_token
 
         def _fetch():
-            resp = requests.post(
+            resp = requests.post("https://api.dingtalk.com/v1.0/oauth2/accessToken", json={"appKey": CLIENT_ID, "appSecret": CLIENT_SECRET}, timeout=20)
-                "https://api.dingtalk.com/v1.0/oauth2/accessToken",
-                json={"appKey": CLIENT_ID, "appSecret": CLIENT_SECRET},
-                timeout=20,
-            )
             resp.raise_for_status()
             return resp.json()
 
@@ -107,30 +52,17 @@ class DingTalkApp:
         headers = {"x-acs-dingtalk-access-token": token}
         if chat_id.startswith("group:"):
             url = "https://api.dingtalk.com/v1.0/robot/groupMessages/send"
-            payload = {
+            payload = {"robotCode": CLIENT_ID, "openConversationId": chat_id[6:], "msgKey": msg_key, "msgParam": json.dumps(msg_param, ensure_ascii=False)}
-                "robotCode": CLIENT_ID,
-                "openConversationId": chat_id[6:],
-                "msgKey": msg_key,
-                "msgParam": json.dumps(msg_param, ensure_ascii=False),
-            }
         else:
             url = "https://api.dingtalk.com/v1.0/robot/oToMessages/batchSend"
-            payload = {
+            payload = {"robotCode": CLIENT_ID, "userIds": [chat_id], "msgKey": msg_key, "msgParam": json.dumps(msg_param, ensure_ascii=False)}
-                "robotCode": CLIENT_ID,
-                "userIds": [chat_id],
-                "msgKey": msg_key,
-                "msgParam": json.dumps(msg_param, ensure_ascii=False),
-            }
 
         def _post():
             resp = requests.post(url, json=payload, headers=headers, timeout=20)
             body = resp.text
             if resp.status_code != 200:
                 raise RuntimeError(f"HTTP {resp.status_code}: {body[:300]}")
-            try:
+            result = resp.json() if "json" in resp.headers.get("content-type", "") else {}
-                result = resp.json()
-            except Exception:
-                result = {}
             errcode = result.get("errcode")
             if errcode not in (None, 0):
                 raise RuntimeError(f"API errcode={errcode}: {body[:300]}")
@@ -143,119 +75,32 @@ class DingTalkApp:
             return False
 
     async def send_text(self, chat_id, content):
-        for part in _split_text(content):
+        for part in split_text(content, self.split_limit):
             await self._send_batch_message(chat_id, "sampleMarkdown", {"text": part, "title": "Agent Reply"})
 
-    async def send_done(self, chat_id, raw_text):
-        files = [p for p in _extract_files(raw_text) if os.path.exists(p)]
-        body = _strip_files(_clean(raw_text))
-        if files:
-            body = (body + "\n\n" if body else "") + "\n".join([f"生成文件: {p}" for p in files])
-        await self.send_text(chat_id, body or "...")
-
-    async def handle_command(self, chat_id, cmd):
-        parts = (cmd or "").split()
-        op = (parts[0] if parts else "").lower()
-        if op == "/stop":
-            state = _USER_TASKS.get(chat_id)
-            if state:
-                state["running"] = False
-            agent.abort()
-            await self.send_text(chat_id, "⏹️ 正在停止...")
-        elif op == "/status":
-            llm = agent.get_llm_name() if agent.llmclient else "未配置"
-            await self.send_text(chat_id, f"状态: {'🔴 运行中' if agent.is_running else '🟢 空闲'}\nLLM: [{agent.llm_no}] {llm}")
-        elif op == "/llm":
-            if not agent.llmclient:
-                return await self.send_text(chat_id, "❌ 当前没有可用的 LLM 配置")
-            if len(parts) > 1:
-                try:
-                    n = int(parts[1])
-                    agent.next_llm(n)
-                    await self.send_text(chat_id, f"✅ 已切换到 [{agent.llm_no}] {agent.get_llm_name()}")
-                except Exception:
-                    await self.send_text(chat_id, f"用法: /llm <0-{len(agent.list_llms()) - 1}>")
-            else:
-                lines = [f"{'→' if cur else '  '} [{i}] {name}" for i, name, cur in agent.list_llms()]
-                await self.send_text(chat_id, "LLMs:\n" + "\n".join(lines))
-        elif op == "/restore":
-            try:
-                restored_info, err = _format_restore()
-                if err:
-                    return await self.send_text(chat_id, err)
-                restored, fname, count = restored_info
-                agent.abort()
-                agent.history.extend(restored)
-                await self.send_text(chat_id, f"✅ 已恢复 {count} 轮对话\n来源: {fname}\n(仅恢复上下文，请输入新问题继续)")
-            except Exception as e:
-                await self.send_text(chat_id, f"❌ 恢复失败: {e}")
-        elif op == "/new":
-            agent.abort()
-            agent.history = []
-            await self.send_text(chat_id, "🆕 已清空当前共享上下文")
-        else:
-            await self.send_text(
-                chat_id,
-                "📖 命令列表:\n/help - 显示帮助\n/status - 查看状态\n/stop - 停止当前任务\n/new - 清空当前上下文\n/restore - 恢复上次对话历史\n/llm [n] - 查看或切换模型",
-            )
-
-    async def run_agent(self, chat_id, text):
-        state = {"running": True}
-        _USER_TASKS[chat_id] = state
-        try:
-            await self.send_text(chat_id, "思考中...")
-            prompt = f"If you need to show files to user, use [FILE:filepath] in your response.\n\n{text}"
-            dq = agent.put_task(prompt, source="dingtalk")
-            last_ping = time.time()
-            while state["running"]:
-                try:
-                    item = await asyncio.to_thread(dq.get, True, 3)
-                except Q.Empty:
-                    if agent.is_running and time.time() - last_ping > 20:
-                        await self.send_text(chat_id, "⏳ 还在处理中，请稍等...")
-                        last_ping = time.time()
-                    continue
-                if "done" in item:
-                    await self.send_done(chat_id, item.get("done", ""))
-                    break
-            if not state["running"]:
-                await self.send_text(chat_id, "⏹️ 已停止")
-        except Exception as e:
-            import traceback
-
-            print(f"[DingTalk] run_agent error: {e}")
-            traceback.print_exc()
-            await self.send_text(chat_id, f"❌ 错误: {e}")
-        finally:
-            _USER_TASKS.pop(chat_id, None)
-
     async def on_message(self, content, sender_id, sender_name, conversation_type=None, conversation_id=None):
         try:
             if not content:
                 return
-            public_access = not ALLOWED or "*" in ALLOWED
+            if not public_access(ALLOWED) and sender_id not in ALLOWED:
-            if not public_access and sender_id not in ALLOWED:
                 print(f"[DingTalk] unauthorized user: {sender_id}")
                 return
             is_group = conversation_type == "2" and conversation_id
             chat_id = f"group:{conversation_id}" if is_group else sender_id
             print(f"[DingTalk] message from {sender_name} ({sender_id}): {content}")
             if content.startswith("/"):
-                await self.handle_command(chat_id, content)
+                return await self.handle_command(chat_id, content)
-                return
             task = asyncio.create_task(self.run_agent(chat_id, content))
             self.background_tasks.add(task)
             task.add_done_callback(self.background_tasks.discard)
         except Exception:
             import traceback
-
             print("[DingTalk] handle_message error")
             traceback.print_exc()
 
     async def start(self):
-        handler = _DingTalkHandler(self)
         self.client = DingTalkStreamClient(Credential(CLIENT_ID, CLIENT_SECRET))
-        self.client.register_callback_handler(ChatbotMessage.TOPIC, handler)
+        self.client.register_callback_handler(ChatbotMessage.TOPIC, _DingTalkHandler(self))
         print("[DingTalk] bot starting...")
         while True:
             try:
@@ -274,44 +119,22 @@ class _DingTalkHandler(CallbackHandler):
     async def process(self, message):
         try:
             chatbot_msg = ChatbotMessage.from_dict(message.data)
-            text = ""
+            text = getattr(getattr(chatbot_msg, "text", None), "content", "") or ""
-            if getattr(getattr(chatbot_msg, "text", None), "content", None):
-                text = chatbot_msg.text.content.strip()
             extensions = getattr(chatbot_msg, "extensions", None) or {}
             recognition = ((extensions.get("content") or {}).get("recognition") or "").strip() if isinstance(extensions, dict) else ""
-            if not text:
+            if not (text := text.strip()):
                 text = recognition or str((message.data.get("text", {}) or {}).get("content", "") or "").strip()
-            sender_id = getattr(chatbot_msg, "sender_staff_id", None) or getattr(chatbot_msg, "sender_id", None) or "unknown"
+            sender_id = str(getattr(chatbot_msg, "sender_staff_id", None) or getattr(chatbot_msg, "sender_id", None) or "unknown")
             sender_name = getattr(chatbot_msg, "sender_nick", None) or "Unknown"
-            conversation_type = message.data.get("conversationType")
+            await self.app.on_message(text, sender_id, sender_name, message.data.get("conversationType"), message.data.get("conversationId") or message.data.get("openConversationId"))
-            conversation_id = message.data.get("conversationId") or message.data.get("openConversationId")
-            await self.app.on_message(text, str(sender_id), sender_name, conversation_type, conversation_id)
-            return AckMessage.STATUS_OK, "OK"
         except Exception as e:
             print(f"[DingTalk] callback error: {e}")
-            return AckMessage.STATUS_OK, "Error"
+        return AckMessage.STATUS_OK, "OK"
 
 
 if __name__ == "__main__":
-    try:
+    _LOCK_SOCK = ensure_single_instance(19530, "DingTalk")
-        _lock_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    require_runtime(agent, "DingTalk", dingtalk_client_id=CLIENT_ID, dingtalk_client_secret=CLIENT_SECRET)
-        _lock_sock.bind(("127.0.0.1", 19530))
+    redirect_log(__file__, "dingtalkapp.log", "DingTalk", ALLOWED)
-    except OSError:
-        print("[DingTalk] Another instance is already running, skipping...")
-        sys.exit(1)
-
-    if not CLIENT_ID or not CLIENT_SECRET:
-        print("[DingTalk] ERROR: please set dingtalk_client_id and dingtalk_client_secret in mykey.py or mykey.json")
-        sys.exit(1)
-    if agent.llmclient is None:
-        print("[DingTalk] ERROR: no usable LLM backend found in mykey.py or mykey.json")
-        sys.exit(1)
-
-    log_dir = os.path.join(os.path.dirname(__file__), "temp")
-    os.makedirs(log_dir, exist_ok=True)
-    _logf = open(os.path.join(log_dir, "dingtalkapp.log"), "a", encoding="utf-8", buffering=1)
-    sys.stdout = sys.stderr = _logf
-    print("[NEW] DingTalk process starting, the above are history infos ...")
-    print(f"[DingTalk] allow list: {'public' if not ALLOWED or '*' in ALLOWED else sorted(ALLOWED)}")
     threading.Thread(target=agent.run, daemon=True).start()
     asyncio.run(DingTalkApp().start())

ga.py

@@ -246,8 +246,7 @@ class GenericAgentHandler(BaseHandler):
     '''Generic Agent 工具库，包含多种工具的实现。工具函数自动加上了 do_ 前缀。实际工具名没有前缀。'''
     def __init__(self, parent, last_history=None, cwd='./'):
         self.parent = parent
-        self.key_info = ""
+        self.working = {}
-        self.related_sop = ""
         self.cwd = cwd;  self.current_turn = 0
         self.history_info = last_history if last_history else []
         self.code_stop_signal = []
@@ -408,11 +407,12 @@ class GenericAgentHandler(BaseHandler):
         '''
         key_info = args.get("key_info", "")
         related_sop = args.get("related_sop", "")
-        if "key_info" in args: self.key_info = key_info
+        if "key_info" in args: self.working['key_info'] = key_info
-        if "related_sop" in args: self.related_sop = related_sop
+        if "related_sop" in args: self.working['related_sop'] = related_sop
+        self.working['passed_sessions'] = 0
         yield f"[Info] Updated key_info and related_sop.\n"
-        yield f"key_info:\n{self.key_info}\n\n"
+        yield f"key_info:\n{self.working.get('key_info', '')}\n\n"
-        yield f"related_sop:\n{self.related_sop}\n\n"
+        yield f"related_sop:\n{self.working.get('related_sop', '')}\n\n"
         next_prompt = self._get_anchor_prompt()
         #next_prompt += '\n[SYSTEM TIPS] 此函数一般在任务开始或中间时调用，如果任务已成功完成应该是start_long_term_update用于结算长期记忆。\n'
         return StepOutcome({"status": "success"}, next_prompt=next_prompt)
@@ -477,14 +477,14 @@ class GenericAgentHandler(BaseHandler):
         h_str = "\n".join(self.history_info[-20:])
         prompt = f"\n### [WORKING MEMORY]\n<history>\n{h_str}\n</history>"
         prompt += f"\nCurrent turn: {self.current_turn}\n"
-        if self.key_info: prompt += f"\n<key_info>{self.key_info}</key_info>"
+        if self.working.get('key_info'): prompt += f"\n<key_info>{self.working.get('key_info')}</key_info>"
-        if self.related_sop: prompt += f"\n有不清晰的地方请再次读取{self.related_sop}"
+        if self.working.get('related_sop'): prompt += f"\n有不清晰的地方请再次读取{self.working.get('related_sop')}"
         try: print(prompt)
         except: pass
         return prompt
 
     def next_prompt_patcher(self, next_prompt, outcome, turn):
-        if turn % 35 == 0 and 'plan' not in str(self.related_sop):
+        if turn % 35 == 0 and 'plan' not in str(self.working.get('related_sop')):
             next_prompt += f"\n\n[DANGER] 已连续执行第 {turn} 轮。你必须总结情况进行ask_user，不允许继续重试。"
         elif turn % 7 == 0:
             next_prompt += f"\n\n[DANGER] 已连续执行第 {turn} 轮。禁止无效重试。若无有效进展，必须切换策略：1. 探测物理边界 2. 请求用户协助。如有需要，可调用 update_working_checkpoint 保存关键上下文。"

llmcore.py

@@ -54,10 +54,10 @@ def build_multimodal_content(prompt_text, image_paths):
     return parts
 
 class SiderLLMSession:
-    def __init__(self, sider_cookie, default_model="gemini-3.0-flash"):
+    def __init__(self, cfg):
         from sider_ai_api import Session   # 不使用sider的话没必要安装这个包
-        self._core = Session(cookie=sider_cookie, proxies=proxies)   
+        self._core = Session(cookie=cfg['apikey'], proxies=proxies)   
-        self.default_model = default_model
+        self.default_model = cfg.get('model', 'gemini-3.0-flash')
     def ask(self, prompt, model=None, stream=False):
         if model is None: model = self.default_model
         if len(prompt) > 28000: 
@@ -68,8 +68,10 @@ class SiderLLMSession:
         return full_text   
 
 class ClaudeSession:
-    def __init__(self, api_key, api_base, model="claude-opus", context_win=12000):
+    def __init__(self, cfg):
-        self.api_key, self.api_base, self.default_model, self.context_win = api_key, api_base.rstrip('/'), model, context_win
+        self.api_key = cfg['apikey']; self.api_base = cfg['apibase'].rstrip('/')
+        self.default_model = cfg.get('model', 'claude-opus')
+        self.context_win = cfg.get('context_win', 12000)
         self.raw_msgs, self.lock = [], threading.Lock()
     def _trim_messages(self, messages):
         compress_history_tags(messages)
@@ -84,6 +86,7 @@ class ClaudeSession:
         return result[::-1] or messages[-2:]
     def raw_ask(self, messages, model=None, temperature=0.5, max_tokens=6144):
         model = model or self.default_model
+        if 'kimi' in model.lower() or 'moonshot' in model.lower(): temperature = 1.0  # kimi/moonshot only accepts temp 1.0
         headers = {"x-api-key": self.api_key, "Content-Type": "application/json", "anthropic-version": "2023-06-01"}
         payload = {"model": model, "messages": messages, "temperature": temperature, "max_tokens": max_tokens, "stream": True}
         try:
@@ -117,28 +120,28 @@ class ClaudeSession:
         return _ask_gen() if stream else ''.join(list(_ask_gen()))
 
 class LLMSession:
-    def __init__(self, api_key, api_base, model, context_win=16000, proxy=None, api_mode="chat_completions",
+    def __init__(self, cfg):
-                 max_retries=2, connect_timeout=10, read_timeout=120):
+        self.api_key = cfg['apikey']; self.api_base = cfg['apibase'].rstrip('/')
-        self.api_key = api_key; self.api_base = api_base.rstrip('/'); self.default_model = model
+        self.default_model = cfg['model']
-        self.context_win = context_win; self.raw_msgs = []; self.messages = []
+        self.context_win = cfg.get('context_win', 16000)
+        self.raw_msgs, self.messages = [], []
+        proxy = cfg.get('proxy')
         self.proxies = {"http": proxy, "https": proxy} if proxy else None
+        self.prompt_cache = cfg.get('prompt_cache', False)
         self.lock = threading.Lock()
-        self.max_retries = max(0, int(max_retries))
+        self.max_retries = max(0, int(cfg.get('max_retries', 2)))
-        self.connect_timeout = max(1, int(connect_timeout))
+        self.connect_timeout = max(1, int(cfg.get('connect_timeout', 10)))
-        self.read_timeout = max(5, int(read_timeout))
+        self.read_timeout = max(5, int(cfg.get('read_timeout', 120)))
-        mode = str(api_mode or "chat_completions").strip().lower().replace('-', '_')
+        mode = str(cfg.get('api_mode', 'chat_completions')).strip().lower().replace('-', '_')
         if mode in ["responses", "response"]: self.api_mode = "responses"
         else: self.api_mode = "chat_completions"
 
     def _retry_delay(self, resp, attempt):
         retry_after = None
         try:
-            if resp is not None:
+            if resp is not None: retry_after = (resp.headers or {}).get("retry-after")
-                retry_after = (resp.headers or {}).get("retry-after")
+            if retry_after is not None: retry_after = float(retry_after)
-            if retry_after is not None:
+        except: retry_after = None
-                retry_after = float(retry_after)
-        except:
-            retry_after = None
         if retry_after is None: retry_after = min(30.0, 1.5 * (2 ** attempt))
         return max(0.5, float(retry_after))
 
@@ -168,6 +171,7 @@ class LLMSession:
 
     def raw_ask(self, messages, model=None, temperature=0.5):
         if model is None: model = self.default_model
+        if 'kimi' in model.lower() or 'moonshot' in model.lower(): temperature = 1.0  # kimi/moonshot only accepts temp 1.0
         headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json", "Accept": "text/event-stream"}
         if self.api_mode == "responses":
             url = auto_make_url(self.api_base, "responses")
@@ -310,7 +314,7 @@ class LLMSession:
                 content += chunk; yield chunk
             if not content.startswith("Error:"):
                 self.raw_msgs.append({"role": "assistant", "prompt": content, "image": None})
-            if total_len > 5000: print(f"[Debug] Whole context length {total_len} {str(msg_lens)}.")
+            if total_len > self.context_win // 2: print(f"[Debug] Whole context length {total_len} {str(msg_lens)}.")
             if total_len > self.context_win: 
                 yield '[NextWillSummary]'
                 threading.Thread(target=self.summary_history, daemon=True).start()
@@ -319,11 +323,12 @@ class LLMSession:
         
   
 class GeminiSession:
-    def __init__(self, api_key=None, default_model="gemini-2.0-flash-001", proxy=proxy):
+    def __init__(self, cfg):
-        self.api_key = api_key or google_api_key
+        self.api_key = cfg.get('apikey') or google_api_key
         if not self.api_key: raise ValueError("google_api_key 未配置或为空，请在 mykey.py 中设置")
-        self.default_model = default_model
+        self.default_model = cfg.get('model', 'gemini-2.0-flash-001')
-        self.proxies = {"http":proxy, "https":proxy} if proxy else None
+        p = cfg.get('proxy', proxy)
+        self.proxies = {"http":p, "https":p} if p else None
     def ask(self, prompt, model=None, stream=False):
         if model is None: model = self.default_model
         url = f"https://generativelanguage.googleapis.com/v1/models/{model}:generateContent?key={self.api_key}"
@@ -347,13 +352,14 @@ class GeminiSession:
         return iter([full_text]) if stream else full_text
 
 class XaiSession:
-    def __init__(self, api_key, proxy="http://127.0.0.1:2082", default_model="grok-4-1-fast-non-reasoning"):
+    def __init__(self, cfg):
         import xai_sdk
         from xai_sdk.chat import user, system
         self._user, self._system = user, system
-        self.default_model = default_model
+        self.default_model = cfg.get('model', 'grok-4-1-fast-non-reasoning')
         self._last_response_id = None  # 多轮对话链
-        os.environ["XAI_API_KEY"] = api_key
+        os.environ["XAI_API_KEY"] = cfg['apikey']
+        proxy = cfg.get('proxy', 'http://127.0.0.1:2082')
         if not proxy.startswith("http"): proxy = f"http://{proxy}"
         os.environ.setdefault("grpc_proxy", proxy)
         self._client = xai_sdk.Client()
@@ -411,23 +417,28 @@ class ToolClient:
         self.total_cd_tokens = 0
 
     def chat(self, messages, tools=None):
-        if self._should_use_structured_messages(messages):
-            return (yield from self._chat_structured(messages, tools))
-        full_prompt = self._build_protocol_prompt(messages, tools)      
-        print("Full prompt length:", len(full_prompt), 'chars')
         script_dir = os.path.dirname(os.path.abspath(__file__))
-        with open(os.path.join(script_dir, f'./temp/model_responses_{os.getpid()}.txt'), 'a', encoding='utf-8', errors="replace") as f:
+        log_path = os.path.join(script_dir, f'./temp/model_responses_{os.getpid()}.txt')
-            f.write(f"=== Prompt === {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n{full_prompt}\n")
+        if self._should_use_structured_messages(messages):
-        gen = self.backend.ask(full_prompt, stream=True)
+            backend_messages = self._build_backend_messages(messages, tools)
+            print("Structured prompt length:", sum(self._estimate_content_len(m.get("content")) for m in backend_messages), 'chars')
+            prompt_log = self._serialize_messages_for_log(backend_messages)
+            gen = self.backend.raw_ask(backend_messages)
+        else:
+            full_prompt = self._build_protocol_prompt(messages, tools)
+            print("Full prompt length:", len(full_prompt), 'chars')
+            prompt_log = full_prompt
+            gen = self.backend.ask(full_prompt, stream=True)
+        with open(log_path, 'a', encoding='utf-8', errors="replace") as f:
+            f.write(f"=== Prompt === {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n{prompt_log}\n")
         raw_text = ''; summarytag = '[NextWillSummary]'
         for chunk in gen:
-            raw_text += chunk; 
+            raw_text += chunk
             if chunk != summarytag: yield chunk
         print('Complete response received.')
         if raw_text.endswith(summarytag):
             self.last_tools = ''; raw_text = raw_text[:-len(summarytag)]
-        script_dir = os.path.dirname(os.path.abspath(__file__))
+        with open(log_path, 'a', encoding='utf-8', errors="replace") as f:
-        with open(os.path.join(script_dir, f'./temp/model_responses_{os.getpid()}.txt'), 'a', encoding='utf-8', errors="replace") as f:
             f.write(f"=== Response === {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n{raw_text}\n\n")
         return self._parse_mixed_response(raw_text)
 
@@ -504,24 +515,6 @@ class ToolClient:
                 logged.append(msg)
         return json.dumps(logged, ensure_ascii=False, indent=2)
 
-    def _chat_structured(self, messages, tools):
-        backend_messages = self._build_backend_messages(messages, tools)
-        print("Structured prompt length:", sum(self._estimate_content_len(m.get("content")) for m in backend_messages), 'chars')
-        script_dir = os.path.dirname(os.path.abspath(__file__))
-        with open(os.path.join(script_dir, f'./temp/model_responses_{os.getpid()}.txt'), 'a', encoding='utf-8', errors="replace") as f:
-            f.write(f"=== Prompt === {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n{self._serialize_messages_for_log(backend_messages)}\n")
-        gen = self.backend.raw_ask(backend_messages)
-        raw_text = ''; summarytag = '[NextWillSummary]'
-        for chunk in gen:
-            raw_text += chunk
-            if chunk != summarytag: yield chunk
-        print('Complete response received.')
-        if raw_text.endswith(summarytag):
-            self.last_tools = ''; raw_text = raw_text[:-len(summarytag)]
-        with open(os.path.join(script_dir, f'./temp/model_responses_{os.getpid()}.txt'), 'a', encoding='utf-8', errors="replace") as f:
-            f.write(f"=== Response === {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n{raw_text}\n\n")
-        return self._parse_mixed_response(raw_text)
-
     def _build_protocol_prompt(self, messages, tools):
         system_content = next((m['content'] for m in messages if m['role'].lower() == 'system'), "")
         history_msgs = [m for m in messages if m['role'].lower() != 'system']
@@ -609,10 +602,7 @@ if __name__ == "__main__":
     }
     google_api_key = mykeys.get("google_api_key")
     cfg = oai_configs.get("oai_config")
-
+    llmclient = ToolClient(LLMSession(cfg))
-    llmclient = ToolClient(GeminiSession(api_key=google_api_key, proxy='127.0.0.1:2082').ask)
-    #llmclient = ToolClient(LLMSession(api_key=cfg['apikey'], api_base=cfg['apibase'], model=cfg['model']).ask)
-    #llmclient = ToolClient(SiderLLMSession().ask)
     def get_final(gen):
         try:
             while True: print('mid:', next(gen))

memory/autonomous_operation_sop.md

@@ -15,7 +15,7 @@
 ## 执行
 
 **启动**：
-- update_working_checkpoint: `自主行动｜报告→./autonomous_reports/R{XX}_简短描述.md｜≤30回合｜收尾：重读sop，写报告+更新history+标记TODO`
+- update_working_checkpoint: `自主行动｜报告→./autonomous_reports/R{XX}_简短描述.md｜≤30回合｜收尾：重读sop，写报告+更新history+标记TODO | 报告严禁放错位置`
 - 读 `./autonomous_reports/history.txt` 推断下一编号RXX + 了解历史避免重复
 
 **执行**：

memory/skill_search/SKILL.md

@@ -0,0 +1,64 @@
+# Skill Search — 105K 技能卡检索
+
+> 从 105K+ 技能卡中语义搜索最匹配的 skill。零依赖，内置默认 API 地址，开箱即用。
+
+## 最简调用
+
+```python
+import sys; sys.path.append('../memory/skill_search')
+from skill_search import search
+
+results = search("python send email")  # ⚠️ 必须用英文查询，中文匹配效果极差
+for r in results:
+    s = r.skill
+    print(f"[{r.final_score:.2f}] {s.name} — {s.one_line_summary}")
+    print(f"  key: {s.key}  category: {s.category}  tags: {s.tags[:3]}")
+```
+
+## API 签名
+
+```python
+search(query, env=None, category=None, top_k=10) -> list[SearchResult]
+#  env: 自动检测，一般不传
+#  category: 可选过滤，如 "devops"
+#  top_k: 返回数量，默认10
+```
+
+## 返回结构
+
+```
+SearchResult
+  .final_score    float     综合评分 (0~1)
+  .relevance      float     语义相关度
+  .quality        float     质量分
+  .match_reasons  list[str] 匹配原因
+  .warnings       list[str] 警告
+  .skill          SkillIndex ↓
+
+SkillIndex (常用字段)
+  .key              str       唯一标识/路径
+  .name             str       名称
+  .one_line_summary str       一句话摘要
+  .description      str       详细描述
+  .category         str       类别
+  .tags             list[str] 标签
+  .form             str       形式(sop/script/...)
+  .autonomous_safe  bool      是否自主安全
+```
+
+## CLI
+
+```bash
+python -m skill_search "python testing"
+python -m skill_search "docker deployment" --category devops --top 5
+python -m skill_search "git" --json
+python -m skill_search --stats
+python -m skill_search --env
+```
+
+## 配置
+
+| 项 | 默认值 | 说明 |
+|---|---|---|
+| API地址 | `http://www.fudankw.cn:58787` | 环境变量 `SKILL_SEARCH_API` 可覆盖 |
+| API密钥 | 无(可选) | 环境变量 `SKILL_SEARCH_KEY` |

memory/skill_search/skill_search/__init__.py

@@ -0,0 +1,8 @@
+"""skill_search — Skill 检索 API 客户端"""
+from .engine import (
+    SkillIndex, SearchResult, SkillSearchError,
+    search, get_stats, detect_environment,
+)
+
+__all__ = ["SkillIndex", "SearchResult", "SkillSearchError",
+           "search", "get_stats", "detect_environment"]

memory/skill_search/skill_search/__main__.py

@@ -0,0 +1,116 @@
+"""CLI 入口: python -m skill_search"""
+from __future__ import annotations
+import argparse, json, sys
+from .engine import SearchResult, SkillSearchError, detect_environment, search, get_stats
+
+
+# ── 格式化 ───────────────────────────────────────────────
+
+def format_results(results: list[SearchResult], env: dict, query: str) -> str:
+    lines = [f'🔍 搜索: "{query}"',
+             f"🖥️  环境: {env.get('os','?')} / {env.get('shell','?')} / {', '.join(env.get('runtimes',[]))}",
+             f"📊 找到 {len(results)} 个匹配结果\n"]
+    if not results:
+        lines.append("未找到匹配的 skill。试试其他关键词？")
+        return "\n".join(lines)
+    for i, r in enumerate(results, 1):
+        s = r.skill
+        safe_icon = "🟢" if s.autonomous_safe else "🔴"
+        score_bar = "█" * int(r.final_score * 10) + "░" * (10 - int(r.final_score * 10))
+        lines += [
+            f"{'─'*60}",
+            f"#{i}  {safe_icon} {s.name}",
+            f"    路径: {s.key}",
+            f"    类别: {s.category} | 标签: {', '.join(s.tags[:5])}",
+            f"    摘要: {s.one_line_summary}",
+            f"    评分: [{score_bar}] {r.final_score:.2f}  (相关={r.relevance:.2f} 质量={r.quality:.1f})",
+            f"    清晰={s.clarity} 完整={s.completeness} 可操作={s.actionability} | 形式={s.form}",
+        ]
+        if r.match_reasons:
+            lines.append(f"    匹配: {' | '.join(r.match_reasons[:3])}")
+        if r.warnings:
+            lines.extend(f"    {w}" for w in r.warnings)
+        lines.append("")
+    lines.append(f"{'─'*60}")
+    return "\n".join(lines)
+
+
+def format_results_json(results: list[SearchResult]) -> list[dict]:
+    out = []
+    for r in results:
+        s = r.skill
+        out.append({
+            "rank": len(out) + 1, "key": s.key, "name": s.name,
+            "category": s.category, "tags": s.tags,
+            "description": s.description, "one_line_summary": s.one_line_summary,
+            "scores": {"final": round(r.final_score, 3), "relevance": round(r.relevance, 3),
+                       "quality": round(r.quality, 1), "clarity": s.clarity,
+                       "completeness": s.completeness, "actionability": s.actionability},
+            "safety": {"autonomous_safe": s.autonomous_safe, "blast_radius": s.blast_radius,
+                       "requires_credentials": s.requires_credentials,
+                       "data_exposure": s.data_exposure, "effect_scope": s.effect_scope},
+            "platform": {"os": s.os, "runtimes": s.runtimes, "tools": s.tools, "services": s.services},
+            "warnings": r.warnings, "match_reasons": r.match_reasons,
+        })
+    return out
+
+
+# ── CLI ──────────────────────────────────────────────────
+
+def main():
+    parser = argparse.ArgumentParser(prog="skill_search",
+        description="Skill 检索系统 — 根据环境和需求智能推荐 skill（API 客户端）")
+    parser.add_argument("query", nargs="?", help="搜索关键词（如: 'python testing'）")
+    parser.add_argument("--category", "-cat", help="限定类别")
+    parser.add_argument("--top", "-k", type=int, default=10, help="返回结果数（默认 10）")
+    parser.add_argument("--json", action="store_true", help="JSON 格式输出")
+    parser.add_argument("--env", action="store_true", help="仅显示检测到的环境信息")
+    parser.add_argument("--stats", action="store_true", help="显示索引统计信息")
+    parser.add_argument("--api-url", help="指定 API 地址（也可用 SKILL_SEARCH_API 环境变量）")
+    args = parser.parse_args()
+
+    if args.api_url:
+        import os; os.environ["SKILL_SEARCH_API"] = args.api_url
+
+    env = detect_environment()
+
+    if args.env:
+        print("🖥️  当前环境:")
+        print(f"  OS:       {env['os']}")
+        print(f"  Shell:    {env['shell']}")
+        print(f"  运行时:   {', '.join(env['runtimes'])}")
+        print(f"  工具:     {', '.join(env['tools'])}")
+        print(f"  模型能力: tool_calling={env['model']['tool_calling']}, "
+              f"reasoning={env['model']['reasoning']}, context={env['model']['context_window']}")
+        return
+
+    if args.stats:
+        try:
+            stats = get_stats(env)
+            print(f"📊 索引统计:")
+            print(f"  总计: {stats.get('total', '?')} 个 skills")
+            print(f"  自动安全: {stats.get('safe_count', '?')} 个")
+            if 'categories' in stats:
+                print(f"  类别分布:")
+                for cat, cnt in sorted(stats['categories'].items(), key=lambda x: -x[1]):
+                    print(f"    {cat:15s} {cnt:4d}")
+        except SkillSearchError as e:
+            print(f"❌ {e}", file=sys.stderr); sys.exit(1)
+        return
+
+    if not args.query:
+        parser.print_help(); return
+
+    try:
+        results = search(query=args.query, env=env, category=args.category, top_k=args.top)
+    except SkillSearchError as e:
+        print(f"❌ {e}", file=sys.stderr); sys.exit(1)
+
+    if args.json:
+        print(json.dumps(format_results_json(results), indent=2, ensure_ascii=False))
+    else:
+        print(format_results(results, env, args.query))
+
+
+if __name__ == "__main__":
+    main()

memory/skill_search/skill_search/engine.py

@@ -0,0 +1,156 @@
+"""Skill 检索引擎 — API 客户端（含数据模型与环境检测）"""
+from __future__ import annotations
+import json, os, platform, shutil, subprocess, urllib.request, urllib.error
+from dataclasses import dataclass, field
+
+# ── 数据模型 ─────────────────────────────────────────────
+
+@dataclass
+class SkillIndex:
+    """Skill 索引条目（与服务端结构对齐）"""
+    key: str
+    name: str = ""
+    description: str = ""
+    one_line_summary: str = ""
+    category: str = ""
+    tags: list[str] = field(default_factory=list)
+    language: str = "en"
+    os: list[str] = field(default_factory=list)
+    shell: list[str] = field(default_factory=list)
+    runtimes: list[str] = field(default_factory=list)
+    tools: list[str] = field(default_factory=list)
+    services: list[str] = field(default_factory=list)
+    needs_tool_calling: bool = False
+    needs_reasoning: bool = False
+    min_context_window: str = "standard"
+    decay_risk: str = "low"
+    clarity: int = 0
+    completeness: int = 0
+    actionability: int = 0
+    autonomous_safe: bool = True
+    blast_radius: str = "low"
+    requires_credentials: bool = False
+    data_exposure: str = "none"
+    effect_scope: str = "local"
+    form: str = ""
+    estimated_tokens: str = "medium"
+    capabilities: list[str] = field(default_factory=list)
+    github_stars: int = 0
+    github_url: str = ""
+
+    @property
+    def quality_score(self):
+        return self.clarity * 0.3 + self.completeness * 0.3 + self.actionability * 0.4
+
+    @classmethod
+    def from_dict(cls, d):
+        known = {f.name for f in cls.__dataclass_fields__.values()}
+        return cls(**{k: v for k, v in d.items() if k in known})
+
+
+@dataclass
+class SearchResult:
+    """单条检索结果"""
+    skill: SkillIndex
+    relevance: float = 0.0
+    quality: float = 0.0
+    final_score: float = 0.0
+    match_reasons: list[str] = field(default_factory=list)
+    warnings: list[str] = field(default_factory=list)
+
+    @classmethod
+    def from_dict(cls, d):
+        skill = SkillIndex.from_dict(d.get("skill", d))
+        return cls(skill=skill, relevance=d.get("relevance", 0.0),
+                   quality=d.get("quality", 0.0), final_score=d.get("final_score", 0.0),
+                   match_reasons=d.get("match_reasons", []), warnings=d.get("warnings", []))
+
+
+# ── 环境检测 ─────────────────────────────────────────────
+
+def _run(cmd):
+    try:
+        r = subprocess.run(cmd.split(), capture_output=True, text=True, timeout=5)
+        return r.stdout.strip() if r.returncode == 0 else ""
+    except Exception:
+        return ""
+
+def _detect_os():
+    s = platform.system().lower()
+    return {"darwin": "macos", "linux": "linux", "windows": "windows"}.get(s, s)
+
+def _detect_shell():
+    shell = os.environ.get("SHELL", "")
+    if "zsh" in shell: return "zsh"
+    if "bash" in shell: return "bash"
+    if platform.system() == "Windows": return "powershell"
+    return os.path.basename(shell) if shell else "unknown"
+
+def _detect_runtimes():
+    checks = {"python": ["python3", "python"], "node": ["node"], "go": ["go"],
+              "rust": ["rustc"], "java": ["java"], "ruby": ["ruby"],
+              "php": ["php"], "dotnet": ["dotnet"]}
+    found = []
+    for name, cmds in checks.items():
+        for cmd in cmds:
+            if shutil.which(cmd):
+                found.append(name); break
+    return found
+
+def _detect_tools():
+    tools = ["git", "docker", "npm", "pip", "curl", "wget", "kubectl",
+             "terraform", "aws", "gcloud", "az", "brew", "cargo", "make", "cmake"]
+    return [t for t in tools if shutil.which(t)]
+
+def detect_environment():
+    """采集完整环境信息"""
+    return {"os": _detect_os(), "shell": _detect_shell(),
+            "runtimes": _detect_runtimes(), "tools": _detect_tools(),
+            "model": {"tool_calling": True, "reasoning": True, "context_window": "large"}}
+
+
+# ── API 配置与调用 ────────────────────────────────────────
+
+DEFAULT_API_URL = "http://www.fudankw.cn:58787"
+
+def _get_api_url():
+    return os.environ.get("SKILL_SEARCH_API", DEFAULT_API_URL)
+
+def _get_api_key():
+    return os.environ.get("SKILL_SEARCH_KEY")
+
+class SkillSearchError(Exception):
+    pass
+
+def _api_request(endpoint, payload):
+    url = f"{_get_api_url()}/{endpoint}"
+    data = json.dumps(payload).encode("utf-8")
+    headers = {"Content-Type": "application/json"}
+    api_key = _get_api_key()
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
+    req = urllib.request.Request(url, data=data, headers=headers, method="POST")
+    try:
+        with urllib.request.urlopen(req, timeout=30) as resp:
+            return json.loads(resp.read().decode("utf-8"))
+    except urllib.error.HTTPError as e:
+        body = e.read().decode("utf-8", errors="replace")
+        raise SkillSearchError(f"API 错误 {e.code}: {body}") from e
+    except urllib.error.URLError as e:
+        raise SkillSearchError(f"无法连接服务: {e.reason}") from e
+    except Exception as e:
+        raise SkillSearchError(f"请求失败: {e}") from e
+
+
+# ── 公开接口 ─────────────────────────────────────────────
+
+def search(query, env=None, category=None, top_k=10):
+    if env is None: env = detect_environment()
+    payload = {"query": query, "env": env, "top_k": top_k}
+    if category: payload["category"] = category
+    resp = _api_request("search", payload)
+    return [SearchResult.from_dict(r) for r in resp.get("results", [])]
+
+def get_stats(env=None):
+    if env is None: env = detect_environment()
+    return _api_request("stats", {"env": env})

memory/tmwebdriver_sop.md

@@ -104,4 +104,7 @@ web_scan失败时按序排查：
 ①TM没装？→遍历本机所有Chromium浏览器(Chrome/Edge/Brave…)用户数据目录下Extensions/，各子目录manifest.json搜"tampermonkey"
   没找到→走web_setup_sop；找到→记住装在哪个浏览器
 ②浏览器没开？→检查①对应的浏览器进程是否在跑(tasklist/ps)，没有则启动并打开正常URL（⚠about:blank等内部页不加载扩展）
-③WS后台挂了？→socket.connect_ex(('localhost',18766))非0即dead→手动`from TMWebDriver import TMWebDriver; TMWebDriver()`起master
+③WS后台挂了？→socket.connect_ex(('127.0.0.1',18766))非0即dead→手动`from TMWebDriver import TMWebDriver; TMWebDriver()`起master
+
+## 性能
+- ⚠ URL必须用`127.0.0.1`不用`localhost`。Windows下localhost先尝试IPv6(::1)超时2s再回退IPv4，每次HTTP请求多2s

qqapp.py

@@ -1,8 +1,9 @@
-import os, sys, re, threading, asyncio, queue as Q, socket, time, glob
+import asyncio, os, sys, threading, time
 from collections import deque
 
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 from agentmain import GeneraticAgent
+from chatapp_common import AgentChatMixin, ensure_single_instance, public_access, redirect_log, require_runtime, split_text
 from llmcore import mykeys
 
 try:
@@ -12,73 +13,19 @@ except Exception:
     print("Please install qq-botpy to use QQ module: pip install qq-botpy")
     sys.exit(1)
 
-agent = GeneraticAgent()
+agent = GeneraticAgent(); agent.verbose = False
-agent.verbose = False
-
 APP_ID = str(mykeys.get("qq_app_id", "") or "").strip()
 APP_SECRET = str(mykeys.get("qq_app_secret", "") or "").strip()
 ALLOWED = {str(x).strip() for x in mykeys.get("qq_allowed_users", []) if str(x).strip()}
-
+PROCESSED_IDS, USER_TASKS = deque(maxlen=1000), {}
-_TAG_PATS = [r"<" + t + r">.*?</" + t + r">" for t in ("thinking", "summary", "tool_use", "file_content")]
+SEQ_LOCK, MSG_SEQ = threading.Lock(), 1
-_PROCESSED_IDS = deque(maxlen=1000)
-_USER_TASKS = {}
-_SEQ_LOCK = threading.Lock()
-_MSG_SEQ = 1
 
 
 def _next_msg_seq():
-    global _MSG_SEQ
+    global MSG_SEQ
-    with _SEQ_LOCK:
+    with SEQ_LOCK:
-        _MSG_SEQ += 1
+        MSG_SEQ += 1
-        return _MSG_SEQ
+        return MSG_SEQ
-
-
-def _clean(text):
-    for pat in _TAG_PATS:
-        text = re.sub(pat, "", text, flags=re.DOTALL)
-    return re.sub(r"\n{3,}", "\n\n", text).strip() or "..."
-
-
-def _extract_files(text):
-    return re.findall(r"\[FILE:([^\]]+)\]", text or "")
-
-
-def _strip_files(text):
-    return re.sub(r"\[FILE:[^\]]+\]", "", text or "").strip()
-
-
-def _split_text(text, limit=1500):
-    text = (text or "").strip() or "..."
-    parts = []
-    while len(text) > limit:
-        cut = text.rfind("\n", 0, limit)
-        if cut < limit * 0.6:
-            cut = limit
-        parts.append(text[:cut].rstrip())
-        text = text[cut:].lstrip()
-    if text:
-        parts.append(text)
-    return parts or ["..."]
-
-
-def _format_restore():
-    files = glob.glob("./temp/model_responses_*.txt")
-    if not files:
-        return None, "❌ 没有找到历史记录"
-    latest = max(files, key=os.path.getmtime)
-    with open(latest, "r", encoding="utf-8") as f:
-        content = f.read()
-    users = re.findall(r"=== USER ===\n(.+?)(?==== |$)", content, re.DOTALL)
-    resps = re.findall(r"=== Response ===.*?\n(.+?)(?==== Prompt|$)", content, re.DOTALL)
-    count, restored = 0, []
-    for u, r in zip(users, resps):
-        u, r = u.strip(), r.strip()[:500]
-        if u and r:
-            restored.extend([f"[USER]: {u}", f"[Agent] {r}"])
-            count += 1
-    if not restored:
-        return None, "❌ 历史记录里没有可恢复内容"
-    return (restored, os.path.basename(latest), count), None
 
 
 def _build_intents():
@@ -86,16 +33,7 @@ def _build_intents():
         return botpy.Intents(public_messages=True, direct_message=True)
     except Exception:
         intents = botpy.Intents.none() if hasattr(botpy.Intents, "none") else botpy.Intents()
-        for attr in (
+        for attr in ("public_messages", "public_guild_messages", "direct_message", "direct_messages", "c2c_message", "c2c_messages", "group_at_message", "group_at_messages"):
-            "public_messages",
-            "public_guild_messages",
-            "direct_message",
-            "direct_messages",
-            "c2c_message",
-            "c2c_messages",
-            "group_at_message",
-            "group_at_messages",
-        ):
             if hasattr(intents, attr):
                 try:
                     setattr(intents, attr, True)
@@ -105,15 +43,12 @@ def _build_intents():
 
 
 def _make_bot_class(app):
-    intents = _build_intents()
+    class QQBot(botpy.Client):
-
-    class _QQBot(botpy.Client):
         def __init__(self):
-            super().__init__(intents=intents, ext_handlers=False)
+            super().__init__(intents=_build_intents(), ext_handlers=False)
 
         async def on_ready(self):
-            name = getattr(getattr(self, "robot", None), "name", "QQBot")
+            print(f"[QQ] bot ready: {getattr(getattr(self, 'robot', None), 'name', 'QQBot')}")
-            print(f"[QQ] bot ready: {name}")
 
         async def on_c2c_message_create(self, message: C2CMessage):
             await app.on_message(message, is_group=False)
@@ -124,154 +59,50 @@ def _make_bot_class(app):
         async def on_direct_message_create(self, message):
             await app.on_message(message, is_group=False)
 
-    return _QQBot
+    return QQBot
 
 
-class QQApp:
+class QQApp(AgentChatMixin):
+    label, source, split_limit = "QQ", "qq", 1500
+
     def __init__(self):
+        super().__init__(agent, USER_TASKS)
         self.client = None
 
     async def send_text(self, chat_id, content, *, msg_id=None, is_group=False):
         if not self.client:
             return
-        for part in _split_text(content):
+        api = self.client.api.post_group_message if is_group else self.client.api.post_c2c_message
-            seq = _next_msg_seq()
+        key = "group_openid" if is_group else "openid"
-            if is_group:
+        for part in split_text(content, self.split_limit):
-                await self.client.api.post_group_message(
+            await api(**{key: chat_id, "msg_type": 0, "content": part, "msg_id": msg_id, "msg_seq": _next_msg_seq()})
-                    group_openid=chat_id,
-                    msg_type=0,
-                    content=part,
-                    msg_id=msg_id,
-                    msg_seq=seq,
-                )
-            else:
-                await self.client.api.post_c2c_message(
-                    openid=chat_id,
-                    msg_type=0,
-                    content=part,
-                    msg_id=msg_id,
-                    msg_seq=seq,
-                )
-
-    async def send_done(self, chat_id, raw_text, *, msg_id=None, is_group=False):
-        files = [p for p in _extract_files(raw_text) if os.path.exists(p)]
-        body = _strip_files(_clean(raw_text))
-        if files:
-            body = (body + "\n\n" if body else "") + "\n".join([f"生成文件: {p}" for p in files])
-        await self.send_text(chat_id, body or "...", msg_id=msg_id, is_group=is_group)
-
-    async def handle_command(self, chat_id, cmd, *, msg_id=None, is_group=False):
-        parts = (cmd or "").split()
-        op = (parts[0] if parts else "").lower()
-        if op == "/stop":
-            state = _USER_TASKS.get(chat_id)
-            if state:
-                state["running"] = False
-            agent.abort()
-            await self.send_text(chat_id, "⏹️ 正在停止...", msg_id=msg_id, is_group=is_group)
-        elif op == "/status":
-            llm = agent.get_llm_name() if agent.llmclient else "未配置"
-            await self.send_text(chat_id, f"状态: {'🔴 运行中' if agent.is_running else '🟢 空闲'}\nLLM: [{agent.llm_no}] {llm}", msg_id=msg_id, is_group=is_group)
-        elif op == "/llm":
-            if not agent.llmclient:
-                return await self.send_text(chat_id, "❌ 当前没有可用的 LLM 配置", msg_id=msg_id, is_group=is_group)
-            if len(parts) > 1:
-                try:
-                    n = int(parts[1])
-                    agent.next_llm(n)
-                    await self.send_text(chat_id, f"✅ 已切换到 [{agent.llm_no}] {agent.get_llm_name()}", msg_id=msg_id, is_group=is_group)
-                except Exception:
-                    await self.send_text(chat_id, f"用法: /llm <0-{len(agent.list_llms()) - 1}>", msg_id=msg_id, is_group=is_group)
-            else:
-                lines = [f"{'→' if cur else '  '} [{i}] {name}" for i, name, cur in agent.list_llms()]
-                await self.send_text(chat_id, "LLMs:\n" + "\n".join(lines), msg_id=msg_id, is_group=is_group)
-        elif op == "/restore":
-            try:
-                restored_info, err = _format_restore()
-                if err:
-                    return await self.send_text(chat_id, err, msg_id=msg_id, is_group=is_group)
-                restored, fname, count = restored_info
-                agent.abort()
-                agent.history.extend(restored)
-                await self.send_text(chat_id, f"✅ 已恢复 {count} 轮对话\n来源: {fname}\n(仅恢复上下文，请输入新问题继续)", msg_id=msg_id, is_group=is_group)
-            except Exception as e:
-                await self.send_text(chat_id, f"❌ 恢复失败: {e}", msg_id=msg_id, is_group=is_group)
-        elif op == "/new":
-            agent.abort()
-            agent.history = []
-            await self.send_text(chat_id, "🆕 已清空当前共享上下文", msg_id=msg_id, is_group=is_group)
-        else:
-            await self.send_text(
-                chat_id,
-                "📖 命令列表:\n/help - 显示帮助\n/status - 查看状态\n/stop - 停止当前任务\n/new - 清空当前上下文\n/restore - 恢复上次对话历史\n/llm [n] - 查看或切换模型",
-                msg_id=msg_id,
-                is_group=is_group,
-            )
-
-    async def run_agent(self, chat_id, text, *, msg_id=None, is_group=False):
-        state = {"running": True}
-        _USER_TASKS[chat_id] = state
-        try:
-            await self.send_text(chat_id, "思考中...", msg_id=msg_id, is_group=is_group)
-            prompt = f"If you need to show files to user, use [FILE:filepath] in your response.\n\n{text}"
-            dq = agent.put_task(prompt, source="qq")
-            last_ping = time.time()
-            while state["running"]:
-                try:
-                    item = await asyncio.to_thread(dq.get, True, 3)
-                except Q.Empty:
-                    if agent.is_running and time.time() - last_ping > 20:
-                        await self.send_text(chat_id, "⏳ 还在处理中，请稍等...", msg_id=msg_id, is_group=is_group)
-                        last_ping = time.time()
-                    continue
-                if "done" in item:
-                    await self.send_done(chat_id, item.get("done", ""), msg_id=msg_id, is_group=is_group)
-                    break
-            if not state["running"]:
-                await self.send_text(chat_id, "⏹️ 已停止", msg_id=msg_id, is_group=is_group)
-        except Exception as e:
-            import traceback
-
-            print(f"[QQ] run_agent error: {e}")
-            traceback.print_exc()
-            await self.send_text(chat_id, f"❌ 错误: {e}", msg_id=msg_id, is_group=is_group)
-        finally:
-            _USER_TASKS.pop(chat_id, None)
 
     async def on_message(self, data, is_group=False):
         try:
             msg_id = getattr(data, "id", None)
-            if msg_id in _PROCESSED_IDS:
+            if msg_id in PROCESSED_IDS:
                 return
-            _PROCESSED_IDS.append(msg_id)
+            PROCESSED_IDS.append(msg_id)
             content = (getattr(data, "content", "") or "").strip()
             if not content:
                 return
             author = getattr(data, "author", None)
-            if is_group:
+            user_id = str(getattr(author, "member_openid" if is_group else "user_openid", "") or getattr(author, "id", "") or "unknown")
-                chat_id = str(getattr(data, "group_openid", "") or "")
+            chat_id = str(getattr(data, "group_openid", "") or user_id) if is_group else user_id
-                user_id = str(getattr(author, "member_openid", "") or getattr(author, "id", "") or "unknown")
+            if not public_access(ALLOWED) and user_id not in ALLOWED:
-            else:
-                user_id = str(getattr(author, "user_openid", "") or getattr(author, "id", "") or "unknown")
-                chat_id = user_id
-            public_access = not ALLOWED or "*" in ALLOWED
-            if not public_access and user_id not in ALLOWED:
                 print(f"[QQ] unauthorized user: {user_id}")
                 return
             print(f"[QQ] message from {user_id} ({'group' if is_group else 'c2c'}): {content}")
             if content.startswith("/"):
-                await self.handle_command(chat_id, content, msg_id=msg_id, is_group=is_group)
+                return await self.handle_command(chat_id, content, msg_id=msg_id, is_group=is_group)
-                return
             asyncio.create_task(self.run_agent(chat_id, content, msg_id=msg_id, is_group=is_group))
         except Exception:
             import traceback
-
             print("[QQ] handle_message error")
             traceback.print_exc()
 
     async def start(self):
-        BotClass = _make_bot_class(self)
+        self.client = _make_bot_class(self)()
-        self.client = BotClass()
         while True:
             try:
                 print(f"[QQ] bot starting... {time.strftime('%m-%d %H:%M')}")
@@ -283,25 +114,8 @@ class QQApp:
 
 
 if __name__ == "__main__":
-    try:
+    _LOCK_SOCK = ensure_single_instance(19528, "QQ")
-        _lock_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    require_runtime(agent, "QQ", qq_app_id=APP_ID, qq_app_secret=APP_SECRET)
-        _lock_sock.bind(("127.0.0.1", 19528))
+    redirect_log(__file__, "qqapp.log", "QQ", ALLOWED)
-    except OSError:
-        print("[QQ] Another instance is already running, skipping...")
-        sys.exit(1)
-
-    if not APP_ID or not APP_SECRET:
-        print("[QQ] ERROR: please set qq_app_id and qq_app_secret in mykey.py or mykey.json")
-        sys.exit(1)
-    if agent.llmclient is None:
-        print("[QQ] ERROR: no usable LLM backend found in mykey.py or mykey.json")
-        sys.exit(1)
-
-    log_dir = os.path.join(os.path.dirname(__file__), "temp")
-    os.makedirs(log_dir, exist_ok=True)
-    _logf = open(os.path.join(log_dir, "qqapp.log"), "a", encoding="utf-8", buffering=1)
-    sys.stdout = sys.stderr = _logf
-    print("[NEW] QQ process starting, the above are history infos ...")
-    print(f"[QQ] allow list: {'public' if not ALLOWED or '*' in ALLOWED else sorted(ALLOWED)}")
     threading.Thread(target=agent.run, daemon=True).start()
     asyncio.run(QQApp().start())

simphtml.py

@@ -17,12 +17,14 @@ function createEnhancedDOMCopy() {
     if (sourceNode.nodeType === 3) return sourceNode.cloneNode(false);  
     const clone = sourceNode.cloneNode(false);
     if ((sourceNode.tagName === 'INPUT' || sourceNode.tagName === 'TEXTAREA') && sourceNode.value) clone.setAttribute('value', sourceNode.value);
+    if (sourceNode.tagName === 'INPUT' && (sourceNode.type === 'radio' || sourceNode.type === 'checkbox') && sourceNode.checked) clone.setAttribute('checked', '');
     else if (sourceNode.tagName === 'SELECT' && sourceNode.value) clone.setAttribute('data-selected', sourceNode.value);  
     try { if (sourceNode.matches && sourceNode.matches(':-webkit-autofill')) { clone.setAttribute('data-autofilled', 'true'); if (!sourceNode.value) clone.setAttribute('value', '⚠️受保护-读tmwebdriver_sop的autofill章节提取'); } } catch(e) {}
 
     const isDropdown = sourceNode.classList?.contains('dropdown-menu') ||   
              /dropdown|menu/i.test(sourceNode.className) || sourceNode.getAttribute('role') === 'menu'; 
-    const isSmallDropdown = isDropdown && (sourceNode.querySelectorAll('a, button, [role="menuitem"], li').length <= 7 && sourceNode.textContent.length < 500);  
+    const _ddItems = isDropdown ? sourceNode.querySelectorAll('a, button, [role="menuitem"], li').length : 0;
+    const isSmallDropdown = _ddItems > 0 && _ddItems <= 7 && sourceNode.textContent.length < 500;  
 
     const childNodes = [];  
     for (const child of sourceNode.childNodes) {  
@@ -704,6 +706,7 @@ js_findMainContent = '''
 def optimize_html_for_tokens(html):  
     if type(html) is str: soup = BeautifulSoup(html, 'html.parser')  
     else: soup = html
+    for svg in soup.find_all('svg'): svg.clear()
     [tag.attrs.pop('style', None) for tag in soup.find_all(True)]  
     for tag in soup.find_all(True):  
         if tag.has_attr('src'):  
@@ -788,6 +791,10 @@ def find_changed_elements(before_html, after_html):
     for sig, els in after_sigs.items():
         if sig not in before_sigs: changed.extend(els)
         elif len(els) > len(before_sigs[sig]): changed.extend(els[:len(els) - len(before_sigs[sig])])
+    if len(changed) == 0 and str(before_soup) != str(after_soup):
+        before_els, after_els = before_soup.find_all(True), after_soup.find_all(True)
+        for i in range(min(len(before_els), len(after_els))):
+            if get_sig(before_els[i]) != get_sig(after_els[i]): changed.append(after_els[i])
     # 变化边界: parent不在changed中的元素
     cids = set(id(el) for el in changed)
     boundaries = [el for el in changed if el.parent is None or id(el.parent) not in cids]

stapp.py

@@ -82,6 +82,11 @@ if "messages" not in st.session_state: st.session_state.messages = []
 for msg in st.session_state.messages:
     with st.chat_message(msg["role"]): st.markdown(msg["content"], unsafe_allow_html=True)
 
+# IME composition fix (macOS only) - prevents Enter from submitting during CJK input
+if os.name != 'nt':
+    import streamlit.components.v1 as components
+    components.html('<script>!function(){if(window.parent.__imeFix)return;window.parent.__imeFix=1;var d=window.parent.document,c=0;d.addEventListener("compositionstart",()=>c=1,!0);d.addEventListener("compositionend",()=>c=0,!0);function f(){d.querySelectorAll("textarea[data-testid=stChatInputTextArea]").forEach(t=>{t.__imeFix||(t.__imeFix=1,t.addEventListener("keydown",e=>{e.key==="Enter"&&!e.shiftKey&&(e.isComposing||c||e.keyCode===229)&&(e.stopImmediatePropagation(),e.preventDefault())},!0))})}f();new MutationObserver(f).observe(d.body,{childList:1,subtree:1})}()</script>', height=0)
+
 if prompt := st.chat_input("请输入指令"):
     st.session_state.messages.append({"role": "user", "content": prompt})
     with st.chat_message("user"): st.markdown(prompt, unsafe_allow_html=False)  # 小心 XSS

wecomapp.py

@@ -1,8 +1,9 @@
-import os, sys, re, threading, asyncio, queue as Q, socket, time, glob
+import asyncio, os, sys, threading
 from collections import deque
 
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 from agentmain import GeneraticAgent
+from chatapp_common import AgentChatMixin, ensure_single_instance, public_access, redirect_log, require_runtime, split_text
 from llmcore import mykeys
 
 try:
@@ -11,211 +12,64 @@ except Exception:
     print("Please install wecom_aibot_sdk to use WeCom: pip install wecom_aibot_sdk")
     sys.exit(1)
 
-agent = GeneraticAgent()
+agent = GeneraticAgent(); agent.verbose = False
-agent.verbose = False
-
 BOT_ID = str(mykeys.get("wecom_bot_id", "") or "").strip()
 SECRET = str(mykeys.get("wecom_secret", "") or "").strip()
 WELCOME = str(mykeys.get("wecom_welcome_message", "") or "").strip()
 ALLOWED = {str(x).strip() for x in mykeys.get("wecom_allowed_users", []) if str(x).strip()}
-
+PROCESSED_IDS, USER_TASKS = deque(maxlen=1000), {}
-_TAG_PATS = [r"<" + t + r">.*?</" + t + r">" for t in ("thinking", "summary", "tool_use", "file_content")]
-_PROCESSED_IDS = deque(maxlen=1000)
-_USER_TASKS = {}
 
 
-def _clean(text):
+class WeComApp(AgentChatMixin):
-    for pat in _TAG_PATS:
+    label, source, split_limit = "WeCom", "wecom", 1200
-        text = re.sub(pat, "", text, flags=re.DOTALL)
-    return re.sub(r"\n{3,}", "\n\n", text).strip() or "..."
 
-
-def _extract_files(text):
-    return re.findall(r"\[FILE:([^\]]+)\]", text or "")
-
-
-def _strip_files(text):
-    return re.sub(r"\[FILE:[^\]]+\]", "", text or "").strip()
-
-
-def _split_text(text, limit=1200):
-    text = (text or "").strip() or "..."
-    parts = []
-    while len(text) > limit:
-        cut = text.rfind("\n", 0, limit)
-        if cut < limit * 0.6:
-            cut = limit
-        parts.append(text[:cut].rstrip())
-        text = text[cut:].lstrip()
-    if text:
-        parts.append(text)
-    return parts or ["..."]
-
-
-def _format_restore():
-    files = glob.glob("./temp/model_responses_*.txt")
-    if not files:
-        return None, "❌ 没有找到历史记录"
-    latest = max(files, key=os.path.getmtime)
-    with open(latest, "r", encoding="utf-8") as f:
-        content = f.read()
-    users = re.findall(r"=== USER ===\n(.+?)(?==== |$)", content, re.DOTALL)
-    resps = re.findall(r"=== Response ===.*?\n(.+?)(?==== Prompt|$)", content, re.DOTALL)
-    count, restored = 0, []
-    for u, r in zip(users, resps):
-        u, r = u.strip(), r.strip()[:500]
-        if u and r:
-            restored.extend([f"[USER]: {u}", f"[Agent] {r}"])
-            count += 1
-    if not restored:
-        return None, "❌ 历史记录里没有可恢复内容"
-    return (restored, os.path.basename(latest), count), None
-
-
-class WeComApp:
     def __init__(self):
-        self.client = None
+        super().__init__(agent, USER_TASKS)
-        self.chat_frames = {}
+        self.client, self.chat_frames = None, {}
-
-    def _body(self, frame):
-        if hasattr(frame, "body"):
-            return frame.body or {}
-        if isinstance(frame, dict):
-            return frame.get("body", frame)
-        return {}
 
     async def send_text(self, chat_id, content):
-        if not self.client:
+        if not self.client or chat_id not in self.chat_frames:
+            if chat_id not in self.chat_frames:
+                print(f"[WeCom] no frame found for chat: {chat_id}")
             return
-        frame = self.chat_frames.get(chat_id)
+        frame = self.chat_frames[chat_id]
-        if not frame:
+        for part in split_text(content, self.split_limit):
-            print(f"[WeCom] no frame found for chat: {chat_id}")
+            await self.client.reply_stream(frame, generate_req_id("stream"), part, finish=True)
-            return
-        for part in _split_text(content):
-            stream_id = generate_req_id("stream")
-            await self.client.reply_stream(frame, stream_id, part, finish=True)
-
-    async def send_done(self, chat_id, raw_text):
-        files = [p for p in _extract_files(raw_text) if os.path.exists(p)]
-        body = _strip_files(_clean(raw_text))
-        if files:
-            body = (body + "\n\n" if body else "") + "\n".join([f"生成文件: {p}" for p in files])
-        await self.send_text(chat_id, body or "...")
-
-    async def handle_command(self, chat_id, cmd):
-        parts = (cmd or "").split()
-        op = (parts[0] if parts else "").lower()
-        if op == "/stop":
-            state = _USER_TASKS.get(chat_id)
-            if state:
-                state["running"] = False
-            agent.abort()
-            await self.send_text(chat_id, "⏹️ 正在停止...")
-        elif op == "/status":
-            llm = agent.get_llm_name() if agent.llmclient else "未配置"
-            await self.send_text(chat_id, f"状态: {'🔴 运行中' if agent.is_running else '🟢 空闲'}\nLLM: [{agent.llm_no}] {llm}")
-        elif op == "/llm":
-            if not agent.llmclient:
-                return await self.send_text(chat_id, "❌ 当前没有可用的 LLM 配置")
-            if len(parts) > 1:
-                try:
-                    n = int(parts[1])
-                    agent.next_llm(n)
-                    await self.send_text(chat_id, f"✅ 已切换到 [{agent.llm_no}] {agent.get_llm_name()}")
-                except Exception:
-                    await self.send_text(chat_id, f"用法: /llm <0-{len(agent.list_llms()) - 1}>")
-            else:
-                lines = [f"{'→' if cur else '  '} [{i}] {name}" for i, name, cur in agent.list_llms()]
-                await self.send_text(chat_id, "LLMs:\n" + "\n".join(lines))
-        elif op == "/restore":
-            try:
-                restored_info, err = _format_restore()
-                if err:
-                    return await self.send_text(chat_id, err)
-                restored, fname, count = restored_info
-                agent.abort()
-                agent.history.extend(restored)
-                await self.send_text(chat_id, f"✅ 已恢复 {count} 轮对话\n来源: {fname}\n(仅恢复上下文，请输入新问题继续)")
-            except Exception as e:
-                await self.send_text(chat_id, f"❌ 恢复失败: {e}")
-        elif op == "/new":
-            agent.abort()
-            agent.history = []
-            await self.send_text(chat_id, "🆕 已清空当前共享上下文")
-        else:
-            await self.send_text(
-                chat_id,
-                "📖 命令列表:\n/help - 显示帮助\n/status - 查看状态\n/stop - 停止当前任务\n/new - 清空当前上下文\n/restore - 恢复上次对话历史\n/llm [n] - 查看或切换模型",
-            )
-
-    async def run_agent(self, chat_id, text):
-        state = {"running": True}
-        _USER_TASKS[chat_id] = state
-        try:
-            await self.send_text(chat_id, "思考中...")
-            prompt = f"If you need to show files to user, use [FILE:filepath] in your response.\n\n{text}"
-            dq = agent.put_task(prompt, source="wecom")
-            last_ping = time.time()
-            while state["running"]:
-                try:
-                    item = await asyncio.to_thread(dq.get, True, 3)
-                except Q.Empty:
-                    if agent.is_running and time.time() - last_ping > 20:
-                        await self.send_text(chat_id, "⏳ 还在处理中，请稍等...")
-                        last_ping = time.time()
-                    continue
-                if "done" in item:
-                    await self.send_done(chat_id, item.get("done", ""))
-                    break
-            if not state["running"]:
-                await self.send_text(chat_id, "⏹️ 已停止")
-        except Exception as e:
-            import traceback
-
-            print(f"[WeCom] run_agent error: {e}")
-            traceback.print_exc()
-            await self.send_text(chat_id, f"❌ 错误: {e}")
-        finally:
-            _USER_TASKS.pop(chat_id, None)
 
     async def on_text(self, frame):
         try:
-            body = self._body(frame)
+            body = frame.body if hasattr(frame, "body") else frame.get("body", frame) if isinstance(frame, dict) else {}
             if not isinstance(body, dict):
                 return
             msg_id = body.get("msgid") or f"{body.get('chatid', '')}_{body.get('sendertime', '')}"
-            if msg_id in _PROCESSED_IDS:
+            if msg_id in PROCESSED_IDS:
                 return
-            _PROCESSED_IDS.append(msg_id)
+            PROCESSED_IDS.append(msg_id)
             from_info = body.get("from", {}) if isinstance(body.get("from", {}), dict) else {}
             sender_id = str(from_info.get("userid", "") or "unknown")
             chat_id = str(body.get("chatid", "") or sender_id)
             content = str((body.get("text", {}) or {}).get("content", "") or "").strip()
             if not content:
                 return
-            public_access = not ALLOWED or "*" in ALLOWED
+            if not public_access(ALLOWED) and sender_id not in ALLOWED:
-            if not public_access and sender_id not in ALLOWED:
                 print(f"[WeCom] unauthorized user: {sender_id}")
                 return
             self.chat_frames[chat_id] = frame
             print(f"[WeCom] message from {sender_id}: {content}")
             if content.startswith("/"):
-                await self.handle_command(chat_id, content)
+                return await self.handle_command(chat_id, content)
-                return
             asyncio.create_task(self.run_agent(chat_id, content))
         except Exception:
             import traceback
-
             print("[WeCom] handle_message error")
             traceback.print_exc()
 
     async def on_enter_chat(self, frame):
-        if not WELCOME or not self.client:
+        if WELCOME and self.client:
-            return
+            try:
-        try:
+                await self.client.reply_welcome(frame, {"msgtype": "text", "text": {"content": WELCOME}})
-            await self.client.reply_welcome(frame, {"msgtype": "text", "text": {"content": WELCOME}})
+            except Exception as e:
-        except Exception as e:
+                print(f"[WeCom] welcome error: {e}")
-            print(f"[WeCom] welcome error: {e}")
 
     async def on_connected(self, frame):
         print("[WeCom] connected")
@@ -230,19 +84,16 @@ class WeComApp:
         print(f"[WeCom] error: {frame}")
 
     async def start(self):
-        self.client = WSClient({
+        self.client = WSClient({"bot_id": BOT_ID, "secret": SECRET, "reconnect_interval": 1000, "max_reconnect_attempts": -1, "heartbeat_interval": 30000})
-            "bot_id": BOT_ID,
+        for event, handler in {
-            "secret": SECRET,
+            "connected": self.on_connected,
-            "reconnect_interval": 1000,
+            "authenticated": self.on_authenticated,
-            "max_reconnect_attempts": -1,
+            "disconnected": self.on_disconnected,
-            "heartbeat_interval": 30000,
+            "error": self.on_error,
-        })
+            "message.text": self.on_text,
-        self.client.on("connected", self.on_connected)
+            "event.enter_chat": self.on_enter_chat,
-        self.client.on("authenticated", self.on_authenticated)
+        }.items():
-        self.client.on("disconnected", self.on_disconnected)
+            self.client.on(event, handler)
-        self.client.on("error", self.on_error)
-        self.client.on("message.text", self.on_text)
-        self.client.on("event.enter_chat", self.on_enter_chat)
         print("[WeCom] bot starting...")
         await self.client.connect_async()
         while True:
@@ -250,25 +101,8 @@ class WeComApp:
 
 
 if __name__ == "__main__":
-    try:
+    _LOCK_SOCK = ensure_single_instance(19529, "WeCom")
-        _lock_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    require_runtime(agent, "WeCom", wecom_bot_id=BOT_ID, wecom_secret=SECRET)
-        _lock_sock.bind(("127.0.0.1", 19529))
+    redirect_log(__file__, "wecomapp.log", "WeCom", ALLOWED)
-    except OSError:
-        print("[WeCom] Another instance is already running, skipping...")
-        sys.exit(1)
-
-    if not BOT_ID or not SECRET:
-        print("[WeCom] ERROR: please set wecom_bot_id and wecom_secret in mykey.py or mykey.json")
-        sys.exit(1)
-    if agent.llmclient is None:
-        print("[WeCom] ERROR: no usable LLM backend found in mykey.py or mykey.json")
-        sys.exit(1)
-
-    log_dir = os.path.join(os.path.dirname(__file__), "temp")
-    os.makedirs(log_dir, exist_ok=True)
-    _logf = open(os.path.join(log_dir, "wecomapp.log"), "a", encoding="utf-8", buffering=1)
-    sys.stdout = sys.stderr = _logf
-    print("[NEW] WeCom process starting, the above are history infos ...")
-    print(f"[WeCom] allow list: {'public' if not ALLOWED or '*' in ALLOWED else sorted(ALLOWED)}")
     threading.Thread(target=agent.run, daemon=True).start()
     asyncio.run(WeComApp().start())