feat: loop mode + idle auto-action in stapp, cleanup launch.pyw

- stapp.py: add loop mode (auto-inject prompt after each reply)
- stapp.py: replace DOM-based idle monitor with st.fragment timer
- stapp.py: i18n for all new UI text and LLM prompts
- launch.pyw: remove inject/get_last_reply_time/idle_monitor, keep only paste hook
- agentmain/ga: raise max_turns 80->180, DANGER thresholds accordingly
- remove obsolete tool_usable_history.json

agentmain.py

@@ -162,7 +162,7 @@ class GenericAgent:
                 self.llmclient.backend.stream = False
                 self.llmclient.backend.read_timeout = max(self.llmclient.backend.read_timeout, 1200)
             gen = agent_runner_loop(self.llmclient, sys_prompt, raw_query, handler, TOOLS_SCHEMA, 
-                                    max_turns=80, verbose=self.verbose, yield_info=True)
+                                    max_turns=180, verbose=self.verbose, yield_info=True)
             try:
                 full_resp = ""; last_pos = 0; curr_turn = 0; turn_resps = []
                 for chunk in gen:

assets/tool_usable_history.json

@@ -1 +0,0 @@
-[{"role":"user","content":[{"type":"text","text":"code_run个helloworld，根据结果简单评价你的工具配置"}]},{"role":"assistant","content":[{"type":"text","text":"\n\n<summary>用户要求code_run helloworld并评价工具配置</summary>\n\n```python\nprint(\"Hello, World!\")\n```"},{"type":"tool_use","id":"tooluse_GlmTNw190WGgK4sBBOiDHK","name":"code_run","input":{"script":"print(\"Hello, World!\")"}}]},{"role":"user","content":[{"type":"tool_result","tool_use_id":"tooluse_GlmTNw190WGgK4sBBOiDHK","content":"{\"status\": \"success\", \"stdout\": \"Hello, World!\\r\\n\", \"exit_code\": 0}"},{"type":"text","text":"\n### [WORKING MEMORY]\n<history>\n\n[USER]: code_run个helloworld，根据结果简单评价你的工具配置\n</history>\nCurrent turn: 1\n"}]},{"role":"assistant","content":[{"type":"text","text":"\n\n<summary>code_run helloworld成功，评价工具配置</summary>\n\n工具配置没问题。`code_run` 返回了结构化的 JSON（`status`、`stdout`、`exit_code`），执行链路通畅，cwd 默认落在 temp 目录。\n\n刚才还验证了 `inline_eval` 能正确访问 agent 内部状态并导出 history，`file_patch` 也能精准改文件。整套工具链从代码执行、文件读写、到 agent 内省都是通的。"}]}]

frontends/stapp.py

@@ -13,6 +13,7 @@ sys.path.append(os.path.abspath(script_dir))
 
 import streamlit as st
 import time, json, re, threading, queue
+from datetime import timedelta
 from agentmain import GeneraticAgent
 import chatapp_common  # activate /continue command (monkey patches GeneraticAgent)
 from continue_cmd import handle_frontend_command, reset_conversation, list_sessions, extract_ui_messages
@@ -34,13 +35,27 @@ if LANG not in ('zh', 'en'): LANG = 'zh'
 I18N = {
     'zh': {
         'force_stop': '强行停止任务',
-        'reinject_tools': '重新注入工具',
         'desktop_pet': '🐱 桌面宠物',
+        'suggest_btn': '🎯 给我找点事做',
+        'suggest_prompt': '按照自主行动的规划部分，充分分析我的情况，给我生成一批TODO，务必让我感兴趣',
+        'auto_start': '开始空闲自主行动',
+        'auto_pause': '⏸️ 禁止自主行动',
+        'auto_enable': '▶️ 允许自主行动',
+        'auto_on_cap': '🟢 自主行动运行中，会在你离开它30分钟后自动进行',
+        'auto_off_cap': '🔴 自主行动已停止',
+        'auto_prompt': '[AUTO]🤖 用户已经离开超过30分钟，作为自主智能体，请阅读自动化sop，执行自动任务。',
     },
     'en': {
         'force_stop': 'Force Stop',
-        'reinject_tools': 'Reinject Tools',
         'desktop_pet': '🐱 Desktop Pet',
+        'suggest_btn': '🎯 Suggest tasks',
+        'suggest_prompt': 'Following the planning section of autonomous sop, analyze my situation thoroughly and generate a batch of TODOs that will interest me.',
+        'auto_start': 'Start idle auto-action',
+        'auto_pause': '⏸️ Pause auto-action',
+        'auto_enable': '▶️ Enable auto-action',
+        'auto_on_cap': '🟢 Auto-action enabled, triggers after 30min idle',
+        'auto_off_cap': '🔴 Auto-action disabled',
+        'auto_prompt': '[AUTO]🤖 User has been idle for over 30 minutes. As an autonomous agent, read the automation SOP and execute automatic tasks.',
     },
 }
 def T(key): return I18N.get(LANG, I18N['zh']).get(key, key)
@@ -72,14 +87,6 @@ def render_sidebar():
         agent.next_llm(selected_idx); st.rerun(scope="fragment")
     if st.button(T('force_stop')):
         agent.abort(); st.toast("Stop signal sended"); st.rerun()
-    if st.button(T('reinject_tools')):
-        agent.llmclient.last_tools = ''
-        try:
-            hist_path = os.path.join(script_dir, '..', 'assets', 'tool_usable_history.json')
-            with open(hist_path, 'r', encoding='utf-8') as f: tool_hist = json.load(f)
-            agent.llmclient.backend.history.extend(tool_hist)
-            st.toast(f"Tools injected")
-        except Exception as e: st.toast(f"Injected tools failed: {e}")
     if st.button(T('desktop_pet')):
         kwargs = {'creationflags': 0x08} if sys.platform == 'win32' else {}
         pet_script = os.path.join(script_dir, 'desktop_pet_v2.pyw')
@@ -103,25 +110,37 @@ def render_sidebar():
         agent._turn_end_hooks['pet'] = _pet_hook
         st.toast("Desktop pet started")
     
-    if LANG == 'zh':
+    if st.button(T('suggest_btn')):
-        if st.button('🎯 给我找点事做'):
+        st.session_state['_inject_prompt'] = T('suggest_prompt')
-            st.session_state['_inject_prompt'] = '按照自主行动的规划部分，充分分析我的情况，给我生成一批TODO，务必让我感兴趣'
+        st.rerun(scope="app")
-            st.rerun(scope="app")
+    st.divider()
-        st.divider()
+    if st.session_state.get('loop_enabled'):
-        if st.button("开始空闲自主行动"):
+        if st.button("⏹️ Stop Loop"):
-            st.session_state.last_reply_time = int(time.time()) - 1800
+            st.session_state.loop_enabled = False
+            st.toast("⏹️ Loop stopped"); st.rerun(scope="app")
+        st.caption("🔁 Looping")
+    else:
+        loop_prompt = st.text_input("Loop prompt", value="继续" if LANG=='zh' else 'next', key="loop_prompt_input")
+        if st.button("🔁 Loop!"):
+            st.session_state.loop_enabled = True
+            st.session_state.loop_prompt = loop_prompt
+            st.session_state['_inject_prompt'] = loop_prompt
+            st.toast("🔁 Looping"); st.rerun(scope="app")
+    st.divider()
+    if st.button(T('auto_start')):
+        st.session_state.last_reply_time = int(time.time()) - 1800
+        st.session_state.autonomous_enabled = True
+        st.rerun(scope="app")
+    if st.session_state.autonomous_enabled:
+        if st.button(T('auto_pause')):
+            st.session_state.autonomous_enabled = False
+            st.toast(T('auto_pause')); st.rerun(scope="app")
+        st.caption(T('auto_on_cap'))
+    else:
+        if st.button(T('auto_enable'), type="primary"):
             st.session_state.autonomous_enabled = True
-            st.toast("已将上次回复时间设为1800秒前，自主行动已激活"); st.rerun(scope="app")
+            st.toast("✅"); st.rerun(scope="app")
-        if st.session_state.autonomous_enabled:
+        st.caption(T('auto_off_cap'))
-            if st.button("⏸️ 禁止自主行动"):
-                st.session_state.autonomous_enabled = False
-                st.toast("⏸️ 已禁止自主行动"); st.rerun(scope="app")
-            st.caption("🟢 自主行动运行中，会在你离开它30分钟后自动进行")
-        else:
-            if st.button("▶️ 允许自主行动", type="primary"):
-                st.session_state.autonomous_enabled = True
-                st.toast("✅ 已允许自主行动"); st.rerun(scope="app")
-            st.caption("🔴 自主行动已停止")
 with st.sidebar: render_sidebar()
 
 def fold_turns(text):
@@ -226,6 +245,10 @@ def render_main_stream(prompt=None):
     if response:
         st.session_state.messages.append({"role": "assistant", "content": response})
         st.session_state.last_reply_time = int(time.time())
+        # ── 循环回调：回答完成后自动注入下一条 ──
+        if st.session_state.get('loop_enabled'):
+            st.session_state['_inject_prompt'] = st.session_state.get('loop_prompt', '继续')
+            st.rerun()
 
 if "messages" not in st.session_state: st.session_state.messages = []
 for msg in st.session_state.messages:
@@ -334,5 +357,15 @@ elif st.session_state.get('display_queue') is not None:
     # No new prompt but a task is mid-flight (typically a /btw rerun) — resume drain.
     render_main_stream()
 
-if st.session_state.autonomous_enabled:
+# ── 空闲自主行动：fragment 定时检测，替代 launch.pyw 的 idle_monitor ──
-    st.markdown(f"""<div id="last-reply-time" style="display:none">{st.session_state.get('last_reply_time', int(time.time()))}</div>""", unsafe_allow_html=True)
+@st.fragment(run_every=timedelta(minutes=5))
+def _idle_checker():
+    if not st.session_state.get('autonomous_enabled'): return
+    if st.session_state.get('display_queue') is not None: return   # 正在运行中
+    if st.session_state.get('loop_enabled'): return                # 循环模式自己管
+    last = st.session_state.get('last_reply_time', int(time.time()))
+    if time.time() - last > 1800:
+        st.session_state['_inject_prompt'] = T('auto_prompt')
+        st.session_state['last_reply_time'] = int(time.time())     # 防重入
+        st.rerun(scope="app")
+_idle_checker()

ga.py

@@ -561,7 +561,7 @@ class GenericAgentHandler(BaseHandler):
         self.history_info.append(f'[Agent] {summary}')
         _plan = self._in_plan_mode()
 
-        if turn % 75 == 0 and (not _plan):
+        if turn % 175 == 0 and (not _plan):
             next_prompt += f"\n\n[DANGER] 已连续执行第 {turn} 轮。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[SYSTEM] 已连续执行第 {turn} 轮。建议调用update_working_checkpoint保存关键上下文。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. **重读相关SOP**"
@@ -569,7 +569,7 @@ class GenericAgentHandler(BaseHandler):
 
         if _plan and turn >= 10 and turn % 5 == 0:
             next_prompt = f"[Plan Hint] 正在计划模式。必须 file_read({_plan}) 确认当前步骤，回复开头引用：📌 当前步骤：...\n\n" + next_prompt
-        if _plan and turn >= 120: next_prompt += f"\n\n[DANGER] Plan模式已运行 {turn} 轮，已达上限。必须 ask_user 汇报进度并确认是否继续。"
+        if _plan and turn >= 190: next_prompt += f"\n\n[DANGER] Plan模式已运行 {turn} 轮，已达上限。必须 ask_user 汇报进度并确认是否继续。"
 
         injkeyinfo = consume_file(self.parent.task_dir, '_keyinfo')
         injprompt = consume_file(self.parent.task_dir, '_intervene')

launch.pyw

@@ -22,31 +22,6 @@ def start_streamlit(port):
     proc = subprocess.Popen(cmd)
     atexit.register(proc.kill)
 
-def inject(text):
-    window.evaluate_js(f"""
-        const textarea = document.querySelector('textarea[data-testid="stChatInputTextArea"]');
-        if (textarea) {{
-            // 1. 用原生 setter 设置值（绕过 React）
-            const nativeTextAreaValueSetter = Object.getOwnPropertyDescriptor(window.HTMLTextAreaElement.prototype, 'value').set;
-            nativeTextAreaValueSetter.call(textarea, {repr(text)});
-            // 2. 触发 React 的 input 事件
-            textarea.dispatchEvent(new Event('input', {{ bubbles: true }}));
-            // 3. 触发 change 事件（有些组件需要）
-            textarea.dispatchEvent(new Event('change', {{ bubbles: true }}));
-            // 4. 延迟提交
-            setTimeout(() => {{
-                const btn = document.querySelector('[data-testid="stChatInputSubmitButton"]');
-                if (btn) {{btn.click();console.log('Submitted:', {repr(text)});}}
-            }}, 200);
-        }}""")
-
-def get_last_reply_time():
-    last = window.evaluate_js("""
-        const el = document.getElementById('last-reply-time');
-        el ? parseInt(el.textContent) : 0;
-    """) or 0
-    return last or int(time.time())
-
 PASTE_HOOK_JS = """if (!window._pasteHooked) { window._pasteHooked = true;
     document.addEventListener('paste', e => {
         const items = e.clipboardData?.items; if (!items) return;
@@ -65,21 +40,13 @@ PASTE_HOOK_JS = """if (!window._pasteHooked) { window._pasteHooked = true;
     }, true);
 }"""
 
-def idle_monitor():
+def paste_hook_injector():
-    last_trigger_time = 0
+    """注入剪贴板粘贴图片钩子，等窗口加载后执行一次，之后每60秒补注入防页面刷新丢失"""
+    time.sleep(5)  # 等 webview 加载
     while True:
-        time.sleep(5)
+        try: window.evaluate_js(PASTE_HOOK_JS)
-        try:
+        except: pass
-            window.evaluate_js(PASTE_HOOK_JS)
+        time.sleep(60)
-            now = time.time()
-            if now - last_trigger_time < 120: continue
-            last_reply = get_last_reply_time()
-            if now - last_reply > 1800:
-                print('[Idle Monitor] Detected idle state, injecting task...')
-                inject("[AUTO]🤖 用户已经离开超过30分钟，作为自主智能体，请阅读自动化sop，执行自动任务。")
-                last_trigger_time = now
-        except Exception as e:
-            print(f'[Idle Monitor] Error: {e}')
 
 if __name__ == '__main__':
     import argparse
@@ -140,8 +107,7 @@ if __name__ == '__main__':
         print('[Launch] Task Scheduler started (duplicate prevented by scheduler port lock)')
     else: print('[Launch] Task Scheduler not enabled (--sched)')
 
-    monitor_thread = threading.Thread(target=idle_monitor, daemon=True)
+    threading.Thread(target=paste_hook_injector, daemon=True).start()
-    monitor_thread.start()
     if os.name == 'nt':
         screen_width = get_screen_width()
         x_pos = screen_width - WINDOW_WIDTH - RIGHT_PADDING