chore: add thinking mode prompt

core/main_terminal.py

@@ -1303,18 +1303,18 @@ class MainTerminal:
                 "type": "function",
                 "function": {
                     "name": "todo_create",
-                    "description": "创建待办列表，将多步骤任务拆解为最多 8 条可执行项。建立前需向用户同步当前理解与约束，并在概述中记录关键目标。",
+                    "description": "创建待办列表，将多步骤任务拆解为最多 8 条可执行项。概述请控制在 50 字以内，直接说明清单目标；任务列表只写 2~4 条明确步骤。",
                     "parameters": {
                         "type": "object",
                         "properties": {
-                            "overview": {"type": "string", "description": "对任务的思考与概述"},
+                            "overview": {"type": "string", "description": "一句话概述待办清单要完成的目标，50 字以内。"},
                             "tasks": {
                                 "type": "array",
-                                "description": "任务列表，依次对应 task1~task8",
+                                "description": "任务列表，建议 2~4 条，每条写清“动词+对象+目标”。",
                                 "items": {
                                     "type": "object",
                                     "properties": {
-                                        "title": {"type": "string", "description": "单个任务描述"}
+                                        "title": {"type": "string", "description": "单个任务描述，写成可执行的步骤"}
                                     },
                                     "required": ["title"]
                                 },
@@ -1369,6 +1369,20 @@ class MainTerminal:
                     }
                 }
             },
+            {
+                "type": "function",
+                "function": {
+                    "name": "close_sub_agent",
+                    "description": "强制关闭指定子智能体，适用于长时间无响应、超时或卡死的任务。使用前请确认必要的日志/文件已保留，操作会立即终止该任务。",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "task_id": {"type": "string", "description": "子智能体任务ID"},
+                            "agent_id": {"type": "integer", "description": "子智能体编号（1~5），若缺少 task_id 可用"}
+                        }
+                    }
+                }
+            },
             {
                 "type": "function",
                 "function": {
@@ -1397,7 +1411,7 @@ class MainTerminal:
                 "type": "function",
                 "function": {
                     "name": "wait_sub_agent",
-                    "description": "等待指定子智能体任务结束（或超时）。任务完成后会返回交付目录，并将结果复制到指定的项目文件夹。",
+                    "description": "等待指定子智能体任务结束（或超时）。任务完成后会返回交付目录，并将结果复制到指定的项目文件夹。调用时 `timeout_seconds` 应不少于对应子智能体的 `timeout_seconds`，否则可能提前终止等待。",
                     "parameters": {
                         "type": "object",
                         "properties": {
@@ -1976,13 +1990,29 @@ class MainTerminal:
                 )
             
             elif tool_name == "wait_sub_agent":
+                wait_timeout = arguments.get("timeout_seconds")
+                if not wait_timeout:
+                    task_ref = self.sub_agent_manager.lookup_task(
+                        task_id=arguments.get("task_id"),
+                        agent_id=arguments.get("agent_id")
+                    )
+                    if task_ref:
+                        wait_timeout = task_ref.get("timeout_seconds")
                 result = self.sub_agent_manager.wait_for_completion(
                     task_id=arguments.get("task_id"),
                     agent_id=arguments.get("agent_id"),
-                    timeout_seconds=arguments.get("timeout_seconds")
+                    timeout_seconds=wait_timeout
                 )
                 self._record_sub_agent_message(result.get("system_message"), result.get("task_id"), inline=False)
 
+            elif tool_name == "close_sub_agent":
+                result = self.sub_agent_manager.terminate_sub_agent(
+                    task_id=arguments.get("task_id"),
+                    agent_id=arguments.get("agent_id")
+                )
+                message = result.get("message") or result.get("error")
+                self._record_sub_agent_message(message, result.get("task_id"), inline=False)
+            
             else:
                 result = {"success": False, "error": f"未知工具: {tool_name}"}
                 

core/tool_config.py

@@ -58,6 +58,6 @@ TOOL_CATEGORIES: Dict[str, ToolCategory] = {
     ),
     "sub_agent": ToolCategory(
         label="子智能体",
-        tools=["create_sub_agent", "wait_sub_agent"],
+        tools=["create_sub_agent", "wait_sub_agent", "close_sub_agent"],
     ),
 }

modules/sub_agent_manager.py

@@ -74,10 +74,10 @@ class SubAgentManager:
                 "error": f"该对话已使用过编号 {agent_id}，请更换新的子智能体代号。"
             }
 
-        if self._active_task_count() >= SUB_AGENT_MAX_ACTIVE:
+        if self._active_task_count(conversation_id) >= SUB_AGENT_MAX_ACTIVE:
             return {
                 "success": False,
-                "error": f"已有 {SUB_AGENT_MAX_ACTIVE} 个子智能体在运行，请稍后再试。",
+                "error": f"该对话已存在 {SUB_AGENT_MAX_ACTIVE} 个运行中的子智能体，请稍后再试。",
             }
 
         task_id = self._generate_task_id(agent_id)
@@ -174,8 +174,10 @@ class SubAgentManager:
         if not task:
             return {"success": False, "error": "未找到对应的子智能体任务"}
 
-        if task.get("status") in TERMINAL_STATUSES and task.get("final_result"):
+        if task.get("status") in TERMINAL_STATUSES or task.get("status") == "terminated":
+            if task.get("final_result"):
                 return task["final_result"]
+            return {"success": False, "status": task.get("status"), "message": "子智能体已结束。"}
 
         timeout_seconds = timeout_seconds or task.get("timeout_seconds") or SUB_AGENT_DEFAULT_TIMEOUT
         deadline = time.time() + timeout_seconds
@@ -188,7 +190,7 @@ class SubAgentManager:
                 time.sleep(SUB_AGENT_STATUS_POLL_INTERVAL)
                 continue
 
-            if status in {"completed", "failed", "timeout"}:
+            if status in {"completed", "failed", "timeout", "terminated"}:
                 break
 
             time.sleep(SUB_AGENT_STATUS_POLL_INTERVAL)
@@ -206,6 +208,36 @@ class SubAgentManager:
         self._save_state()
         return finalize_result
 
+    def terminate_sub_agent(
+        self,
+        *,
+        task_id: Optional[str] = None,
+        agent_id: Optional[int] = None,
+    ) -> Dict:
+        """强制关闭指定子智能体。"""
+        task = self._select_task(task_id, agent_id)
+        if not task:
+            return {"success": False, "error": "未找到对应的子智能体任务"}
+
+        task_id = task["task_id"]
+        response = self._call_service("POST", f"/tasks/{task_id}/terminate", timeout=10)
+        response["task_id"] = task_id
+        if response.get("success"):
+            task["status"] = "terminated"
+            task["final_result"] = {
+                "success": False,
+                "status": "terminated",
+                "task_id": task_id,
+                "agent_id": task.get("agent_id"),
+                "message": response.get("message") or "子智能体已被强制关闭。",
+            }
+            self._save_state()
+            if "system_message" not in response:
+                response["system_message"] = response.get("message") or "🛑 子智能体已被手动关闭。"
+        elif "system_message" not in response:
+            response["system_message"] = response.get("message")
+        return response
+
     # ------------------------------------------------------------------
     # 内部工具方法
     # ------------------------------------------------------------------
@@ -245,8 +277,17 @@ class SubAgentManager:
         suffix = uuid.uuid4().hex[:6]
         return f"sub_{agent_id}_{int(time.time())}_{suffix}"
 
-    def _active_task_count(self) -> int:
+    def _active_task_count(self, conversation_id: Optional[str] = None) -> int:
-        return len([t for t in self.tasks.values() if t.get("status") in {"pending", "running"}])
+        active = [
+            t for t in self.tasks.values()
+            if t.get("status") in {"pending", "running"}
+        ]
+        if conversation_id:
+            active = [
+                t for t in active
+                if t.get("conversation_id") == conversation_id
+            ]
+        return len(active)
 
     def _copy_reference_files(self, references: List[str], dest_dir: Path) -> Tuple[List[str], List[str]]:
         copied = []
@@ -308,12 +349,25 @@ class SubAgentManager:
             return candidates[0]
         return None
 
+    def lookup_task(self, *, task_id: Optional[str] = None, agent_id: Optional[int] = None) -> Optional[Dict]:
+        """只读查询任务信息，供 wait_sub_agent 自动调整超时时间。"""
+        task = self._select_task(task_id, agent_id)
+        if not task:
+            return None
+        return {
+            "task_id": task.get("task_id"),
+            "agent_id": task.get("agent_id"),
+            "status": task.get("status"),
+            "timeout_seconds": task.get("timeout_seconds"),
+            "conversation_id": task.get("conversation_id"),
+        }
+
     def poll_updates(self) -> List[Dict]:
         """检查运行中的子智能体任务，返回新完成的结果。"""
         updates: List[Dict] = []
         pending_tasks = [
             task for task in self.tasks.values()
-            if task.get("status") not in TERMINAL_STATUSES
+            if task.get("status") not in TERMINAL_STATUSES.union({"terminated"})
         ]
         logger.debug(f"[SubAgentManager] 待检查任务: {len(pending_tasks)}")
         if not pending_tasks:
@@ -358,7 +412,7 @@ class SubAgentManager:
 
     def _finalize_task(self, task: Dict, service_payload: Dict, status: str) -> Dict:
         existing_result = task.get("final_result")
-        if existing_result and task.get("status") in TERMINAL_STATUSES:
+        if existing_result and task.get("status") in TERMINAL_STATUSES.union({"terminated"}):
             return existing_result
 
         task["status"] = status
@@ -367,6 +421,21 @@ class SubAgentManager:
         deliverables_dir = Path(service_payload.get("deliverables_dir") or task.get("deliverables_dir", ""))
         logger.debug(f"[SubAgentManager] finalize task={task['task_id']} status={status}")
 
+        if status == "terminated":
+            system_message = service_payload.get("system_message") or "🛑 子智能体已被手动关闭。"
+            result = {
+                "success": False,
+                "task_id": task["task_id"],
+                "agent_id": task["agent_id"],
+                "status": "terminated",
+                "message": message or "子智能体已被手动关闭。",
+                "details": service_payload,
+                "sub_conversation_id": task.get("sub_conversation_id"),
+                "system_message": system_message,
+            }
+            task["final_result"] = result
+            return result
+
         if status != "completed":
             result = {
                 "success": False,
@@ -497,6 +566,9 @@ class SubAgentManager:
         """返回子智能体任务概览，用于前端展示。"""
         overview: List[Dict[str, Any]] = []
         for task_id, task in self.tasks.items():
+            status = task.get("status")
+            if status not in {"pending", "running"}:
+                continue
             if conversation_id and task.get("conversation_id") != conversation_id:
                 continue
             snapshot = {

prompts/sub_agent_guidelines.txt

@@ -2,7 +2,7 @@
 
 当你通过 `create_sub_agent`/`wait_sub_agent` 管理子智能体时，请遵循以下规则：
 
-1. **何时创建**：当单个回复难以在时限内完成、需要长时间探索/编写大量文件或会阻塞主智能体上下文时，再考虑创建子智能体。特别是涉及大量信息搜集、网页提取、跨多篇资料的阅读与总结、需要输出结构化文件的任务，应该优先使用子智能体，避免主对话被海量搜索结果占满。
+1. **何时创建**：当单个回复难以在时限内完成、需要长时间探索/编写大量文件或会阻塞主智能体上下文时，再考虑创建子智能体。特别是涉及大量信息搜集、网页提取、跨多篇资料的阅读与总结、需要输出结构化文件的任务，应该优先使用子智能体，避免主对话被海量搜索结果占满。子智能体适合“单一方向”的独立任务，比如按车企拆分调研、按章节拆分报告；不要让一个子智能体承担多个平行方向的需求。
 2. **描述方式**：调用 `create_sub_agent` 前，先总结任务目标（summary）、详细分工（task），并指明交付目录（target_dir）以及需要一并提供的参考文件列表。任务描述要清晰、可执行，不要把问题交给子智能体自行理解。
 3. **参考目录**：主智能体可将必要的文件列入 `reference_files`；这些文件会在子智能体的 `references/` 目录下以只读方式提供，适合提供需求文档、接口约束或已有实现片段。不要传递包含敏感信息或过于庞大的目录。
 4. **交付目录要求**：子智能体只能在其 `deliverables/` 下输出成果，主智能体最终会把该目录复制到 `target_project_dir/子任务ID_deliverables`。交付目录必须包含：
@@ -14,4 +14,11 @@
    - 深度调研/多份长文总结：600 秒（上限依据配置）
 6. **善后**：记录系统返回的 `system_message`，同步给用户；若交付不满足预期，可在主流程中补充说明或直接修改复制出的成果。
 
+**拆分示例**  
+- “调研比亚迪/吉利/奇瑞/长安/长城新能源品牌情况” → 建议为每家车企创建一个子智能体，各自总结销量与经营情况，主智能体负责合并。  
+- “对 6 个 API 做差异分析” → 可按 API 或功能模块拆分，每个子智能体负责一组接口。  
+- “阅读 20 篇行业报告并整理要点” → 可按主题或时间段划分，避免单个子智能体上下文爆炸。  
+- “把 8 个用户反馈邮件整理成 FAQ” → 可按邮件批次或问题类型分配给不同子智能体，保证每份输出精简清晰。  
+- “提取 3 份 PDF 报告的参数表并生成对比 Markdown” → 每个子智能体负责一份 PDF 的提取与结构化，再由主流程合并成总对比表。
+
 牢记：主智能体与子智能体完全隔离，只能通过上述API交互。提供明确任务、参考和交付标准，才能让子智能体按预期产出可直接交付的结果。

prompts/thinking_mode_guidelines.txt

@@ -0,0 +1,21 @@
+你现在处于「智能思考模式」。以下规则仅在本模式下生效：
+
+1. **思考阶段**  
+   - 先思考分析用户需求：要解决什么问题、现有信息缺口、潜在风险。  
+   - 评估是否需要执行以下操作，并说明原因：  
+     * 阅读或聚焦哪些文件？需要查看哪些片段？  
+     * 是否进行 `read_file type=search/extract`、`web_search`、`extract_webpage` 或其他工具？  
+     * 是否需要创建/修改/删除文件、运行终端命令或脚本？  
+     * 是否需要创建/等待/关闭子智能体？  
+     * 是否需要更新主记忆或任务记忆？  
+
+2. **正式输出阶段**  
+   - 直接向用户说明你的计划：描述每一步准备做什么、需要哪些工具或文件。  
+   - 如果暂时不执行某些操作，也要写明原因，比如“当前信息充足，无需额外读取”。  
+   - 如需向用户确认信息或获取材料，可在计划里直接提问。  
+   - 后续真正执行操作时，遵循该计划，若有变动要向用户解释。
+
+3. **其他注意事项**  
+   - 不要一上来就连续执行命令，先让用户看懂你的下一步安排。  
+   - 若判断无需任何工具或修改，也要明确说明理由。  
+   - 保持语气专业但亲切，让用户清楚你即将采取的行动。

sub_agent/core/main_terminal.py

@@ -1303,18 +1303,18 @@ class MainTerminal:
                 "type": "function",
                 "function": {
                     "name": "todo_create",
-                    "description": "创建待办列表，将多步骤任务拆解为最多 8 条可执行项。建立前需向用户同步当前理解与约束，并在概述中记录关键目标。",
+                    "description": "创建待办列表，将多步骤任务拆解为最多 8 条可执行项。概述需控制在 50 字以内并直接说明目标，任务项写成 2~4 条“动词+对象+目标”的步骤。",
                     "parameters": {
                         "type": "object",
                         "properties": {
-                            "overview": {"type": "string", "description": "对任务的思考与概述"},
+                            "overview": {"type": "string", "description": "一句话概述本次清单的目标（<=50 字）。"},
                             "tasks": {
                                 "type": "array",
-                                "description": "任务列表，依次对应 task1~task8",
+                                "description": "任务列表，建议 2~4 条，依次对应 task1~task8",
                                 "items": {
                                     "type": "object",
                                     "properties": {
-                                        "title": {"type": "string", "description": "单个任务描述"}
+                                        "title": {"type": "string", "description": "单个任务描述，写成可执行动作。"}
                                     },
                                     "required": ["title"]
                                 },

sub_agent/prompts/todo_guidelines.txt

@@ -9,12 +9,12 @@
 
 ## 如何编写
 1. **概述**：一句话写清楚你正在完成的目标（≤50 字）。  
-2. **任务项**：2~4 条即可，按执行顺序罗列。每条必须描述“对哪个对象做什么动作”，例如 “读取 sales.xlsx，统计月度汇总”。
+2. **任务项**：2~4 条即可，按执行顺序罗列。每条必须描述“对哪个对象做什么动作”。
 3. **粒度**：避免含糊词（“处理”、“完善”等）；能在十分钟内完成的最小可执行步骤即可。
 
 ## 使用流程
 1. **先规划**：在创建清单前，用自然语言写下你准备执行的流程，让自己确认无遗漏。
-2. **todo_create**：把概述与任务数组一次性写对，创建后尽量不要反复删除重建。
+2. **todo_create**：把概述与任务数组一次性写对，创建后尽量不要反复删除重建。概述 ≤ 50 字，说明清单目标；任务数组写 2~4 条“动词＋对象＋目标”的步骤。
 3. **todo_update_task**：每完成一项立刻勾选；若步骤发生变化，先写明原因再修改对应任务。
 4. **todo_finish**：所有任务完成后调用。若仍有未完项但必须停止，先调用 `todo_finish`，再用 `todo_finish_confirm` 说明原因与后续建议。
 

sub_agent/static/app.js

@@ -175,6 +175,7 @@ async function bootstrapApp() {
                 
                 // 停止功能状态
                 stopRequested: false,
+                terminating: false,
 
                 // 路由相关
                 initialRouteResolved: false,
@@ -633,6 +634,37 @@ async function bootstrapApp() {
                 }
             },
 
+            async terminateSubAgentTask() {
+                if (!this.subAgentTaskId || this.terminating) {
+                    return;
+                }
+                const shouldTerminate = window.confirm('确定要立即关闭子智能体吗？此操作无法撤销。');
+                if (!shouldTerminate) {
+                    return;
+                }
+                this.terminating = true;
+                try {
+                    const resp = await fetch(`/tasks/${encodeURIComponent(this.subAgentTaskId)}/terminate`, { method: 'POST' });
+                    let data = null;
+                    try {
+                        data = await resp.json();
+                    } catch (err) {
+                        data = { success: false, error: await resp.text() };
+                    }
+                    if (!resp.ok || !data.success) {
+                        const message = (data && (data.error || data.message)) || '关闭失败';
+                        alert(`关闭子智能体失败：${message}`);
+                        return;
+                    }
+                    this.addSystemMessage('🛑 子智能体已被手动关闭。');
+                } catch (error) {
+                    console.warn('关闭子智能体失败:', error);
+                    alert(`关闭子智能体失败：${error.message || error}`);
+                } finally {
+                    this.terminating = false;
+                }
+            },
+
             formatPathDisplay(path) {
                 if (!path) {
                     return '—';
@@ -647,7 +679,8 @@ async function bootstrapApp() {
                     pending: '等待中',
                     completed: '已完成',
                     failed: '失败',
-                    timeout: '超时'
+                    timeout: '超时',
+                    terminated: '已关闭'
                 };
                 return map[status] || status;
             },

sub_agent/static/index.html

@@ -59,6 +59,13 @@
                     <span class="thinking-mode" v-else>
                         状态: {{ formatSubAgentStatus(subAgentTaskInfo.status) }}
                     </span>
+                    <button v-if="isSubAgentView"
+                            type="button"
+                            class="btn stop-btn terminate-btn"
+                            @click="terminateSubAgentTask"
+                            :disabled="terminating">
+                        {{ terminating ? '关闭中...' : '关闭子智能体' }}
+                    </button>
                     <span class="connection-status" :class="{ connected: isConnected }">
                         <span class="status-dot" :class="{ active: isConnected }"></span>
                         {{ isConnected ? '已连接' : '未连接' }}
@@ -228,39 +235,6 @@
                         </span>
                     </div>
                     
-                    <!-- Token区域包装器 -->
-                    <div class="token-wrapper" v-if="currentConversationId">
-                        <!-- Token统计显示面板 -->
-                        <div class="token-display-panel" :class="{ collapsed: tokenPanelCollapsed }">
-                            <div class="token-panel-content">
-                                <div class="token-stats">
-                                    <div class="token-item">
-                                        <span class="token-label">当前上下文</span>
-                                        <span class="token-value current">{{ formatTokenCount(currentContextTokens || 0) }}</span>
-                                    </div>
-                                    
-                                    <div class="token-separator"></div>
-                                    
-                                    <div class="token-item">
-                                        <span class="token-label">累计输入</span>
-                                        <span class="token-value input">{{ formatTokenCount(currentConversationTokens.cumulative_input_tokens || 0) }}</span>
-                                    </div>
-                                    
-                                    <div class="token-item">
-                                        <span class="token-label">累计输出</span>
-                                        <span class="token-value output">{{ formatTokenCount(currentConversationTokens.cumulative_output_tokens || 0) }}</span>
-                                    </div>
-                                </div>
-                            </div>
-                        </div>
-                        
-                        <!-- 独立的切换按钮 -->
-                        <button @click="toggleTokenPanel" class="token-toggle-btn" :class="{ collapsed: tokenPanelCollapsed }">
-                            <span v-if="!tokenPanelCollapsed">▲</span>
-                            <span v-else>▼</span>
-                        </button>
-                    </div>
-                    
                     <div class="messages-area" ref="messagesArea">
                         <div v-for="(msg, index) in messages" :key="index" class="message-block">
                             

sub_agent/static/style.css

@@ -24,6 +24,7 @@
     --claude-shadow: 0 14px 36px rgba(61, 57, 41, 0.12);
     --claude-success: #76b086;
     --claude-warning: #d99845;
+    --claude-danger: #d65a5a;
 }
 
 html, body {
@@ -86,6 +87,21 @@ body {
     letter-spacing: 0.04em;
 }
 
+.terminate-btn {
+    background: var(--claude-danger);
+    color: #fff6f6;
+    border: none;
+    padding: 6px 14px;
+    border-radius: 6px;
+    font-size: 13px;
+    cursor: pointer;
+}
+
+.terminate-btn:disabled {
+    opacity: 0.6;
+    cursor: not-allowed;
+}
+
 .connection-status {
     font-size: 13px;
     color: var(--claude-text-secondary);
@@ -1373,11 +1389,6 @@ body {
     margin-left: 8px;
 }
 
-/* 输入区域 */
-.token-wrapper {
-    flex-shrink: 0;
-}
-
 .input-area {
     background: rgba(255, 255, 255, 0.82);
     border-top: 1px solid var(--claude-border);
@@ -1530,9 +1541,6 @@ body {
     .messages-area {
         padding: 16px 18px;
     }
-    .token-wrapper {
-        margin-bottom: 8px;
-    }
     .input-area {
         padding: 14px;
     }
@@ -1862,230 +1870,7 @@ body {
     color: var(--claude-text-secondary);
 }
 
-.token-count {
-    color: var(--claude-accent);
-    font-weight: 500;
-}
-/* ========================================= */
-/* Token 统计面板样式（无缝一体版）*/
-/* ========================================= */
 
-/* Token区域包装器 */
-.token-wrapper {
-    position: relative;
-    z-index: 5;
-    margin-bottom: 0;
-}
-
-/* 当前对话信息栏 - 移除底部边框 */
-.current-conversation-info {
-    position: relative;
-    z-index: 10;
-    background: var(--claude-panel);
-    backdrop-filter: blur(18px);
-    border-bottom: none;  /* 移除边框，让它和下面的面板融为一体 */
-    padding: 12px 20px;
-    display: flex;
-    justify-content: space-between;
-    align-items: center;
-    font-size: 14px;
-    color: var(--claude-text-secondary);
-    border-radius: 0;  /* 顶部保持直角 */
-    box-shadow: 0 12px 28px rgba(61, 57, 41, 0.06);
-}
-
-/* Token面板 - 与标题栏完全一体，底部圆角 */
-.token-display-panel {
-    background: var(--claude-panel);
-    backdrop-filter: blur(18px);
-    border: none;
-    border-radius: 0 0 16px 16px;
-    box-shadow: 0 8px 18px rgba(189, 93, 58, 0.12);
-    overflow: hidden;
-    transition: all 0.5s cubic-bezier(0.4, 0, 0.2, 1);
-    width: 100%;
-    margin: 0;
-    padding: 0;
-}
-
-/* 展开状态 */
-.token-display-panel:not(.collapsed) {
-    height: 80px;
-    opacity: 1;
-}
-
-/* 收起状态 */
-.token-display-panel.collapsed {
-    height: 0;
-    opacity: 0;
-    border: none;
-    box-shadow: none;
-}
-
-.token-panel-content {
-    padding: 16px 24px;
-    height: 100%;
-    transition: all 0.5s cubic-bezier(0.4, 0, 0.2, 1);
-}
-
-.token-display-panel.collapsed .token-panel-content {
-    opacity: 0;
-    pointer-events: none;
-}
-
-.token-stats {
-    display: flex;
-    gap: 32px;
-    align-items: center;
-    justify-content: center;
-    font-size: 13px;
-    height: 100%;
-}
-
-.token-item {
-    display: flex;
-    flex-direction: column;
-    align-items: center;
-    gap: 4px;
-    min-width: 80px;
-}
-
-.token-label {
-    color: var(--claude-text-secondary);
-    font-size: 11px;
-    font-weight: 500;
-    text-transform: uppercase;
-    letter-spacing: 0.5px;
-}
-
-.token-value {
-    color: var(--claude-text);
-    font-weight: 600;
-    font-size: 18px;
-    font-variant-numeric: tabular-nums;
-}
-
-.token-value.current { 
-    color: var(--claude-accent);
-    font-size: 20px;
-}
-.token-value.input { color: var(--claude-success); }
-.token-value.output { color: var(--claude-warning); }
-
-.token-separator {
-    width: 1px;
-    height: 35px;
-    background: linear-gradient(to bottom, 
-        transparent, 
-        rgba(218, 119, 86, 0.25) 20%, 
-        rgba(218, 119, 86, 0.25) 80%, 
-        transparent
-    );
-    margin: 0 8px;
-}
-
-/* 切换按钮 - 独立定位 */
-.token-toggle-btn {
-    position: absolute;
-    right: 24px;
-    bottom: -18px;  /* 相对于wrapper底部 */
-    width: 36px;
-    height: 36px;
-    border-radius: 50%;
-    border: 2px solid rgba(218, 119, 86, 0.3);
-    cursor: pointer;
-    display: flex;
-    align-items: center;
-    justify-content: center;
-    transition: all 0.4s cubic-bezier(0.4, 0, 0.2, 1);
-    z-index: 15;
-    font-size: 14px;
-    font-weight: bold;
-}
-
-/* 展开状态 */
-.token-toggle-btn:not(.collapsed) {
-    background: linear-gradient(135deg, #ffffff 0%, rgba(255, 248, 242, 0.9) 100%);
-    color: var(--claude-accent);
-    box-shadow: 0 3px 10px rgba(189, 93, 58, 0.18);
-}
-
-/* 收起状态 - 在标题栏下方露出一半 */
-.token-toggle-btn.collapsed {
-    background: linear-gradient(135deg, var(--claude-accent) 0%, var(--claude-accent-strong) 100%);
-    color: #fff8f2;
-    border-color: rgba(255, 248, 242, 0.55);
-    box-shadow: 0 3px 11px rgba(189, 93, 58, 0.22);
-}
-
-.token-toggle-btn:hover {
-    transform: scale(1.05);
-    box-shadow: 0 5px 16px rgba(189, 93, 58, 0.26);
-}
-
-.token-toggle-btn.collapsed:hover {
-    background: linear-gradient(135deg, var(--claude-button-hover) 0%, var(--claude-button-active) 100%);
-}
-
-.token-toggle-btn:active {
-    transform: scale(1.02);
-}
-
-/* 箭头样式 - 移除浮动动画 */
-.token-toggle-btn span {
-    transition: all 0.3s ease;
-    display: inline-block;
-}
-
-/* 移除动画效果 */
-/* .token-toggle-btn:not(.collapsed) span {
-    animation: arrowBounceUp 2s ease-in-out infinite;
-}
-
-.token-toggle-btn.collapsed span {
-    animation: arrowBounceDown 2s ease-in-out infinite;
-} */
-
-/* 保留动画定义，但不使用 */
-@keyframes arrowBounceUp {
-    0%, 100% { transform: translateY(0); }
-    50% { transform: translateY(-3px); }
-}
-
-@keyframes arrowBounceDown {
-    0%, 100% { transform: translateY(0); }
-    50% { transform: translateY(3px); }
-}
-
-/* 响应式调整 */
-@media (max-width: 768px) {
-    .token-stats {
-        gap: 16px;
-    }
-    
-    .token-item {
-        min-width: 60px;
-    }
-    
-    .token-value {
-        font-size: 15px;
-    }
-    
-    .token-value.current {
-        font-size: 17px;
-    }
-    
-    .token-label {
-        font-size: 10px;
-    }
-    
-    .token-toggle-btn {
-        width: 32px;
-        height: 32px;
-        font-size: 12px;
-        right: 16px;
-    }
-}
 /* Markdown列表样式 - 修复偏左问题 */
 .text-content ul,
 .text-content ol {

sub_agent/web_server.py

@@ -74,6 +74,7 @@ user_terminals: Dict[str, WebTerminal] = {}
 terminal_rooms: Dict[str, set] = {}
 connection_users: Dict[str, str] = {}
 stop_flags: Dict[str, Dict[str, Any]] = {}
+terminated_tasks: set = set()
 
 DEFAULT_PORT = 8092
 
@@ -82,6 +83,8 @@ sub_agent_tasks: Dict[str, Dict[str, Any]] = {}
 sub_agent_terminals: Dict[str, SubAgentTerminal] = {}
 sub_agent_rooms: Dict[str, set] = defaultdict(set)
 sub_agent_connections: Dict[str, str] = {}
+SUB_AGENT_TERMINAL_STATUSES = {"completed", "failed", "timeout"}
+STOPPING_GRACE_SECONDS = 30
 
 def format_read_file_result(result_data: Dict) -> str:
     """格式化 read_file 工具的输出，便于在Web端展示。"""
@@ -244,8 +247,52 @@ def build_finish_tool_reminder(meta: Dict[str, Any]) -> str:
     )
 
 
-def get_active_sub_agent_count() -> int:
+def cleanup_inactive_sub_agent_tasks(force: bool = False):
-    return len([task for task in sub_agent_tasks.values() if task.get("status") in {"pending", "running"}])
+    """移除已结束或长期停止中的子智能体，避免占用名额。"""
+    now = time.time()
+    for task_id, task in list(sub_agent_tasks.items()):
+        status = (task.get("status") or "").lower()
+        if status in SUB_AGENT_TERMINAL_STATUSES:
+            _purge_sub_agent_task(task_id)
+            continue
+        if status == "stopping":
+            updated_at = task.get("updated_at") or task.get("created_at") or now
+            if force or (now - updated_at) > STOPPING_GRACE_SECONDS:
+                _purge_sub_agent_task(task_id)
+
+
+def _purge_sub_agent_task(task_id: str):
+    """移除本地记录与相关连接。"""
+    sub_agent_tasks.pop(task_id, None)
+    terminal = sub_agent_terminals.pop(task_id, None)
+    if terminal and hasattr(terminal, "close"):
+        try:
+            terminal.close()
+        except Exception:
+            pass
+    room_sids = sub_agent_rooms.pop(task_id, set())
+    for sid in list(room_sids):
+        sub_agent_connections.pop(sid, None)
+    for sid, current in list(sub_agent_connections.items()):
+        if current == task_id:
+            sub_agent_connections.pop(sid, None)
+    for sid in list(stop_flags.keys()):
+        if task_id in sid:
+            stop_flags.pop(sid, None)
+
+
+def get_active_sub_agent_count(conversation_id: Optional[str] = None) -> int:
+    cleanup_inactive_sub_agent_tasks()
+    normalized = _normalize_conversation_id(conversation_id)
+    count = 0
+    for task in sub_agent_tasks.values():
+        if task.get("status") not in {"pending", "running"}:
+            continue
+        if normalized:
+            if _normalize_conversation_id(task.get("parent_conversation_id")) != normalized:
+                continue
+        count += 1
+    return count
 
 
 def find_sub_agent_conversation_file(conv_id: str) -> Optional[Path]:
@@ -1984,12 +2031,15 @@ def create_sub_agent_task(payload: Dict[str, Any]) -> Dict[str, Any]:
         if not payload.get(field):
             return {"success": False, "error": f"缺少必要参数: {field}"}
 
+    cleanup_inactive_sub_agent_tasks()
     task_id = payload["task_id"]
     if task_id in sub_agent_tasks:
         return {"success": False, "error": f"任务 {task_id} 已存在"}
 
-    if get_active_sub_agent_count() >= SUB_AGENT_MAX_ACTIVE:
+    parent_conv = payload.get("parent_conversation_id")
-        return {"success": False, "error": f"已存在 {SUB_AGENT_MAX_ACTIVE} 个运行中的子智能体，请稍后再试"}
+    if get_active_sub_agent_count(parent_conv) >= SUB_AGENT_MAX_ACTIVE:
+        limit_note = f"同一对话最多可同时运行 {SUB_AGENT_MAX_ACTIVE} 个子智能体"
+        return {"success": False, "error": f"已存在 {SUB_AGENT_MAX_ACTIVE} 个运行中的子智能体，请稍后再试（{limit_note}）。"}
 
     workspace_dir = Path(payload["workspace_dir"]).resolve()
     references_dir = Path(payload["references_dir"]).resolve()
@@ -2016,6 +2066,7 @@ def create_sub_agent_task(payload: Dict[str, Any]) -> Dict[str, Any]:
         metadata=metadata,
         message_callback=None,
     )
+    terminal.task_id = task_id
 
     def _finish_hook(result: Dict[str, Any]):
         reason = result.get("reason", "")
@@ -2083,6 +2134,38 @@ def stop_sub_agent_task(task_id: str) -> Dict[str, Any]:
     return {"success": True, "message": "已发送停止指令"}
 
 
+def force_terminate_sub_agent(task_id: str) -> Dict[str, Any]:
+    cleanup_inactive_sub_agent_tasks()
+    task = sub_agent_tasks.get(task_id)
+    if not task:
+        return {"success": False, "error": "任务不存在"}
+
+    client_sid = task.get("last_client_sid")
+    if client_sid and client_sid in stop_flags:
+        stop_flags[client_sid]["stop"] = True
+
+    terminated_tasks.add(task_id)
+    terminal = sub_agent_terminals.get(task_id)
+    if terminal:
+        try:
+            reset_system_state(terminal)
+        except Exception:
+            pass
+
+    update_sub_agent_task(task_id, status="terminated")
+    broadcast_sub_agent_event(task_id, "sub_agent_status", {
+        "status": "terminated",
+        "message": "子智能体已被手动关闭"
+    })
+    _purge_sub_agent_task(task_id)
+    return {
+        "success": True,
+        "status": "terminated",
+        "message": "子智能体已被手动关闭",
+        "system_message": "🛑 子智能体已被手动关闭。"
+    }
+
+
 # ==========================================
 # 子智能体任务API（主智能体调用，免登录）
 # ==========================================
@@ -2140,6 +2223,13 @@ def api_stop_sub_agent(task_id: str):
     return jsonify(result), status_code
 
 
+@app.route('/tasks/<task_id>/terminate', methods=['POST'])
+def api_terminate_sub_agent(task_id: str):
+    result = force_terminate_sub_agent(task_id)
+    status_code = 200 if result.get("success") else 400
+    return jsonify(result), status_code
+
+
 @app.route('/tasks/<task_id>/conversation', methods=['GET'])
 def api_get_sub_agent_conversation(task_id: str):
     info = get_task_record(task_id)
@@ -2356,6 +2446,7 @@ def process_message_task(terminal: WebTerminal, message: str, sender, client_sid
             stop_flags[client_sid]['task'] = task
             stop_flags[client_sid]['terminal'] = terminal
         
+        task_id = getattr(terminal, "task_id", None)
         try:
             loop.run_until_complete(task)
         except asyncio.CancelledError:
@@ -2365,6 +2456,9 @@ def process_message_task(terminal: WebTerminal, message: str, sender, client_sid
                 'reason': 'user_requested'
             })
             reset_system_state(terminal)
+        finally:
+            if task_id:
+                terminated_tasks.discard(task_id)
         
         loop.close()
     except Exception as e:
@@ -3063,6 +3157,10 @@ async def handle_task_with_sender(terminal: WebTerminal, message, sender, client
     for iteration in range(max_iterations):
         total_iterations += 1
         debug_log(f"\n--- 迭代 {iteration + 1}/{max_iterations} 开始 ---")
+        task_id = getattr(web_terminal, "task_id", None)
+        if task_id and task_id in terminated_tasks:
+            sender('system_message', {'content': '🛑 子智能体已被手动关闭。'})
+            break
         
         # 检查是否超过总工具调用限制
         if total_tool_calls >= MAX_TOTAL_TOOL_CALLS:
@@ -4153,6 +4251,7 @@ def mark_task_completed(task_id: str, reason: Optional[str] = None):
         "status": "completed",
         "reason": reason or ""
     })
+    cleanup_inactive_sub_agent_tasks()
 
 
 def mark_task_failed(task_id: str, message: str):
@@ -4161,6 +4260,7 @@ def mark_task_failed(task_id: str, message: str):
         "status": "failed",
         "message": message
     })
+    cleanup_inactive_sub_agent_tasks()
 
 
 def mark_task_timeout(task_id: str):
@@ -4172,6 +4272,7 @@ def mark_task_timeout(task_id: str):
         "status": "timeout",
         "message": "任务已超时"
     })
+    cleanup_inactive_sub_agent_tasks()
 
 
 def start_sub_agent_monitor():