release: v6.1.0 - TUI 体验全面升级 + 背景自定义

TUI 界面改进:
- 全面中文化: CommandPalette/HelpPanel/Footer/Chatbox 边框标题等所有用户可见英文汉化
- 辅助中心 (Ctrl+P/F9): 原"设置"重命名, 含 6 项可切换设置
- 独立帮助浮层 (? 键): 重写帮助页面逻辑, 全中文, 带滑入淡入动画
- 背景切换: 辅助中心 [5] 预设背景, [6] 自定义背景; 新增 /bg 命令支持图片提取主色调
- 换行修复: Ctrl+J 作为主推换行键 (Windows 终端不区分 Shift+Enter)
- 引擎切换修复: 解决 call_from_thread 在主线程崩溃的 RuntimeError

技术改进:
- 文本工具调用解析: 检测模型用 <tool_call> 标签返回的工具调用
- 网络工具优化: network_tools.py 和 ai_search.py 改进请求头/重试/编码
- 流式输出修复: append_chunk 的 refresh 改为 layout=True
- 取消响应修复: 引擎层 _cancelled 标志 + TUI 层 worker 身份跟踪

融合 v6.0.0 工作:
- 保留 terminal 模拟器/operit 桥接/深度思考/工作模式/记忆模式等 v6.0.0 全部功能
- 在此基础上叠加本会话的 TUI 改进

CHANGELOG.md

@@ -1,5 +1,98 @@
 # 更新日志
 
+## v6.1.0 (2026-06-28)
+
+**TUI 体验全面升级 + 背景自定义**
+
+### TUI 界面改进
+
+- **全面中文化** — CommandPalette（命令搜索面板）子选项、placeholder、系统命令名全部汉化；HelpPanel 帮助页面、Footer、Chatbox 边框标题、错误前缀、辅助中心面板等所有用户可见英文汉化
+- **辅助中心**（Ctrl+P / F9）— 原"设置"页面重命名为"辅助中心"，含 6 项可切换设置（主题/引擎/历史/安全/预设背景/自定义背景）
+- **独立帮助浮层**（? 键）— 重写帮助页面逻辑，独立浮层替代原 Textual HelpPanel 侧边栏，全中文内容，带滑入淡入动画
+- **背景切换** — 辅助中心 [5] 切换 4 种预设背景色（墨黑/深蓝灰/深紫/深蓝），[6] 自定义背景；新增 `/bg` 命令支持用图片提取主色调作为背景
+- **换行修复** — Ctrl+J 作为主推换行键（Windows 终端不区分 Shift+Enter），同时保留 shift+enter/alt+enter 兼容
+- **引擎切换修复** — 解决 `call_from_thread` 在主线程崩溃的 RuntimeError，主线程直接调用，工作线程才走 call_from_thread
+
+### 技术改进
+
+- **文本工具调用解析** — 新增 `_handle_text_tool_call` 方法，检测模型在文本响应中用 `<tool_call>` 标签返回的工具调用（非标准 Function Calling API），解析并执行
+- **网络工具优化** — network_tools.py 和 ai_search.py 改进请求头、重试机制、编码处理
+- **流式输出修复** — Chatbox.append_chunk 和 ThinkingBox.append_chunk 的 refresh 改为 layout=True，修复流式只显示首行
+- **取消响应修复** — 引擎层增加 `_cancelled` 标志和 cancel() 方法，TUI 层跟踪 worker 身份，action_cancel 直接调用 _finish_cancel
+
+---
+
+## v6.0.0 (2026-06-23)
+
+**重大更新：插件生态 + 深度思考 + 工作模式**
+
+### 新增插件
+
+- **terminal** (终端模拟器 v2)：AI 的虚拟键盘和屏幕
+  - 极简接口：open / type / key / read / last / wait
+  - 持久 Shell 会话，环境变量跨命令保持
+  - Python REPL 交互，多会话并行
+  - `last [N]` 只看最近 N 行，避免上下文爆炸
+  - 纯标准库，零外部依赖，全平台
+
+- **image_reader** (图片读取)：从图片中提取文字
+  - OCR 文字识别（Tesseract / Windows PowerShell）
+  - ASCII 字符画、图片信息、Base64、哈希
+
+### 深度思考
+
+- OpenAI 引擎支持 `/engine.openai think [on|off|low|medium|high]`
+- 原生支持：DeepSeek、MiMo、OpenAI o-series、Claude、Grok、Gemini thinking
+- 提示词兜底：不支持原生的模型自动注入思考提示词
+  - low: 无额外提示词
+  - medium: 逐步思考提示
+  - high: 工程级深度推理框架
+
+### 工作模式
+
+- `/mode` 或 `/safe` 切换四种工作模式
+- 普通：AI 识别风险，有风险才确认
+- 人工确认：所有指令都需确认
+- 无限制：直接执行
+- **计划模式（新增）**：全自动 + 审查 + 重试 + 引擎切换
+  - 引擎错误 10 次自动切换引擎
+  - 无其他引擎继续重试，错误不入上下文
+  - 任务完成后自动审查，发现问题自动重试
+
+### 系统提示词
+
+- 新增兜底策略：插件仓库 → 网上搜索 → 自己写插件
+- 放弃是最后的选择
+
+### 插件整理
+
+- 删除图像类插件：ai_image、image_generator、send_image
+- 移至插件仓库：audio_player、bookmark_manager、color_picker
+- 主仓库保留 24 个必备生产力插件
+
+### 配置更新
+
+- config.json.example 新增 deep_think / reasoning_effort 配置
+- plugins_config.py 重写，统一启用所有核心插件
+- plugin_registry.json 同步更新
+
+---
+
+## v5.4.2 (2026-06-23)
+
+**新增插件：**
+
+- **terminal** (终端模拟器)：纯标准库实现的持久交互式终端
+  - 持久 Shell 会话，环境变量/目录跨命令保持
+  - Python REPL 交互 (`-i` 模式，`PYTHONUNBUFFERED`)
+  - 多会话管理（open/switch/list/close）
+  - 特殊按键支持（Ctrl+C/D/Z、Tab、方向键等 18 种）
+  - 文件哨兵机制（避免 stdout 提示符污染）
+  - Windows/Linux/macOS 全平台，零外部依赖
+  - 13 个单元测试
+
+**其他变更：**
+
 所有重要更改都记录在此文件中。格式基于 [Keep a Changelog](https://keepachangelog.com/zh-CN/1.0.0/)。
 
 ---

README.md

@@ -9,11 +9,11 @@
 </p>
 
 <p align="center">
-  <img src="https://img.shields.io/badge/version-5.4.1-blue" alt="version">
+  <img src="https://img.shields.io/badge/version-6.0.0-blue" alt="version">
   <img src="https://img.shields.io/badge/python-3.10+-green" alt="python">
   <img src="https://img.shields.io/badge/license-MIT-orange" alt="license">
   <img src="https://img.shields.io/badge/tests-150+%20passed-brightgreen" alt="tests">
-  <img src="https://img.shields.io/badge/plugins-19-blueviolet" alt="plugins">
+  <img src="https://img.shields.io/badge/plugins-24-blueviolet" alt="plugins">
 </p>
 
 ---
@@ -34,9 +34,9 @@
 - **远程通信** — PC 与手机 WebSocket 双向通信
 - **定时任务** — 支持相对时间、绝对时间、重复任务，到期自动激活 AI
 - **系统通知** — 跨平台任务完成通知（Windows / macOS / Linux）
-- **MCP 协议** — 19 个插件全部实现 MCP 定义，支持 Function Calling 原生调用
+- **MCP 协议** — 18 个插件全部实现 MCP 定义，支持 Function Calling 原生调用
 - **进程保护** — 跨平台单实例保护 + 进程优先级提升 + Windows PPL 风格保护 + 看门狗监控 + 优雅关闭
-- **19 个插件 161+ 个操作** — 代码编辑、Git、浏览器、工程化、文件管理、图像生成、记忆等
+- **18 个插件 161+ 个操作** — 代码编辑、Git、浏览器、工程化、文件管理、图像生成、记忆等
 - **三模式界面** — TUI 图形化 + 传统命令行 + Web UI 浏览器界面
 - **150+ 个自动化测试** — pytest 覆盖全部插件和核心模块
 
@@ -94,7 +94,7 @@ launcher.exe
 }
 ```
 
-## 插件列表 (19 个)
+## 插件列表 (23 个)
 
 > 更多社区插件请访问 [xiaoli-cli-plugins](https://gitee.com/shuiyu1123/xiaoli-cli-plugins)，使用 `/plugin install <插件码>` 一键安装。
 
@@ -114,24 +114,27 @@ launcher.exe
 | 插件 | 操作数 | 说明 |
 |------|--------|------|
 | `sub_agent` | 8 | 子 Agent 系统。spawn/list/status/result/send/kill，多 Agent 并行协作 |
-| `browser_auto` | 28 | 浏览器自动化。导航/点击/填写/截图/JS执行/PDF/cookies（基于 Playwright） |
+| `terminal` | 8 | 终端模拟器。AI 的虚拟键盘和屏幕，打字/按键/看屏幕，支持 Python REPL |
-| `gui_auto` | 20 | 桌面 GUI 自动化。基于 Windows UIA，屏幕元素识别/点击/输入/截图（仅 Windows） |
-| `ai_image` | — | AI 生图。基于 ai.2x.nz 自然语言生图，异步生成 + WebSocket 进度推送 |
-| `image_generator` | 7 | 图像生成。基于 ComfyUI 在线服务，自然语言/Tag 双模式，28 个角色工作流 |
-| `memory_plugin` | 11 | 记忆系统。AI 写日记/搜索记忆/管理聊天记录/长期记忆 |
-| `scheduler` | 4 | 定时任务。支持相对时间/绝对时间/重复任务，到期自动激活 AI |
-| `tool_search` | — | 工具搜索。按关键词发现可用插件 |
 
 ### 辅助工具
 
 | 插件 | 说明 |
 |------|------|
+| `browser_auto` | 浏览器自动化。导航/点击/填写/截图/JS执行（基于 Playwright） |
+| `gui_auto` | 桌面 GUI 自动化。Windows UIA 元素识别/点击/输入（仅 Windows） |
+| `memory_plugin` | 记忆系统。AI 写日记/搜索记忆/管理聊天记录 |
+| `scheduler` | 定时任务。支持相对/绝对/重复任务，到期自动激活 AI |
+| `tool_search` | 工具搜索。按关键词发现可用插件 |
+| `workflow` | 工作流引擎。YAML 多步骤自动化，变量传递，条件分支 |
 | `network_tools` | 网络工具。ping/get/status/headers/ip |
 | `ai_search` | AI 搜索。jina.ai 智能搜索 + 网页内容提取 |
 | `frontend_tester` | 前端测试。HTML/CSS/JS 语法检查、响应式验证 |
 | `speech_recognition` | 语音识别。录音 + 语音转文字（Whisper） |
-| `audio_player` | 音频播放 |
+| `json_toolkit` | JSON 工具箱。格式化/压缩/校验/路径查询/差异比较 |
-| `send_image` | 远程模式下发图片到手机 |
+| `regex_tester` | 正则表达式测试器。匹配/提取/替换/解释 |
+| `snippet_manager` | 代码片段管理器。保存/搜索/复用常用代码 |
+| `markdown_tool` | Markdown 工具。TOC/统计/表格生成/待办提取 |
+| `id_generator` | ID 生成器。UUID/NanoID/短ID/雪花ID/ULID |
 
 ## 记忆系统
 
@@ -195,7 +198,7 @@ memory_plugin chat_search 图像生成
 
 ## MCP 协议支持
 
-所有 19 个插件均实现 MCP (Model Context Protocol) 定义，支持三种工具调用协议：
+所有 18 个插件均实现 MCP (Model Context Protocol) 定义，支持三种工具调用协议：
 
 | 协议 | 说明 |
 |------|------|
@@ -266,7 +269,7 @@ xiaoli-cli/
 ├── ai_engines/                 # AI 引擎
 │   ├── ollama_engine.py
 │   └── openai_engine.py
-├── plugins/                    # 插件 (19 个)
+├── plugins/                    # 插件 (18 个)
 │   ├── code_editor.py
 │   ├── git_tools.py
 │   ├── cmd_executor.py
@@ -285,7 +288,7 @@ xiaoli-cli/
 │   ├── ai_search.py
 │   ├── frontend_tester.py
 │   ├── speech_recognition.py
-│   └── send_image.py
+│   └── terminal.py
 ├── skills/                     # 技能
 ├── image_engine/               # 图像识别引擎
 ├── tests/                      # 测试套件 (150+ 用例)

about.txt

@@ -1,7 +1,7 @@
 **产品标识**  
 - **产品名称**：小狸智能体 增强-终端（Xiaoli Pro-CLI）  
-- **内部版本号**：20260428
+- **内部版本号**：20260628
-- **发布版本**：发行版5.1.3
+- **发布版本**：发行版6.1.0
 
 **技术规格**  
 - **主要语言**：简体中文（UTF-8）  

ai_engines/ollama_engine.py

@@ -22,6 +22,26 @@ project_root = os.path.dirname(current_dir)
 sys.path.insert(0, project_root)
 
 
+def _safe_get(obj, key, default=None):
+    """兼容 dict 和 pydantic 对象的安全取值（新版 ollama 返回 pydantic 模型，不支持 .get()）"""
+    if obj is None:
+        return default
+    # 1. 先尝试 dict 访问
+    try:
+        return obj[key]
+    except (KeyError, TypeError):
+        pass
+    # 2. 尝试属性访问（pydantic 模型）
+    val = getattr(obj, key, None)
+    if val is not None:
+        return val
+    # 3. 尝试 model_dump 后的 dict 访问
+    try:
+        return obj.model_dump()[key]
+    except (AttributeError, KeyError, TypeError):
+        return default
+
+
 class OllamaAI:
     """基于Ollama的本地AI引擎"""
     requires_api_key = False  # Ollama是本地引擎，不需要API密钥
@@ -81,6 +101,9 @@ Ollama AI引擎插件帮助信息
         # 共享对话历史引用（由CLI设置）
         self.shared_conversation_history = None
 
+        # 取消标志
+        self._cancelled = False
+
         # 直接启用思考标记，由主程序自动处理深度思考模型的响应
         self.thinking_start_marker = "<thinking>"
         self.thinking_end_marker = "</thinking>"
@@ -93,6 +116,33 @@ Ollama AI引擎插件帮助信息
         else:
             print(f"{Fore.RED}Ollama服务未运行,引擎将不可用{Style.RESET_ALL}")
     
+    def cancel(self):
+        """取消正在进行的请求"""
+        self._cancelled = True
+
+    def apply_config(self, base_url=None, api_key=None, model=None):
+        """应用新配置到当前引擎实例（内存），并持久化到 config.json"""
+        if base_url is not None:
+            self.base_url = base_url.rstrip('/')
+        if api_key is not None:
+            self.api_key = api_key
+        if model is not None:
+            self.model = model
+        # 持久化到 config.json
+        try:
+            import os, json
+            config_file = os.path.join(project_root, "config.json")
+            with open(config_file, 'r', encoding='utf-8') as f:
+                config = json.load(f)
+            engine_cfg = config.setdefault("api", {}).setdefault("engines", {}).setdefault("ollama", {})
+            engine_cfg["base_url"] = self.base_url
+            engine_cfg["api_key"] = self.api_key
+            engine_cfg["model"] = self.model
+            with open(config_file, 'w', encoding='utf-8') as f:
+                json.dump(config, f, ensure_ascii=False, indent=2)
+        except Exception as e:
+            logger.warning(f"持久化引擎配置失败: {e}")
+
     def check_ollama_service(self):
         """检测Ollama服务是否运行"""
         # 检查 ollama 库是否可用
@@ -107,7 +157,7 @@ Ollama AI引擎插件帮助信息
             # 如果出现异常,说明服务未运行
             return False
     
-    def generate_response(self, user_input, tool_results=None, system_prompt=None, tools=None):
+    def generate_response(self, user_input, tool_results=None, system_prompt=None, tools=None, stream_start_event=None):
         """
         生成AI响应 - 使用Ollama API
 
@@ -137,10 +187,20 @@ Ollama AI引擎插件帮助信息
                 messages = self._build_messages_with_history(system_prompt, user_input)
 
             # 构建调用参数
+            # 重置取消标志
+            self._cancelled = False
+            # 获取流式回调
+            stream_cb = None
+            thinking_cb = None
+            if self.cli and hasattr(self.cli, 'tui_stream_callback'):
+                stream_cb = self.cli.tui_stream_callback
+            if self.cli and hasattr(self.cli, 'tui_thinking_callback'):
+                thinking_cb = self.cli.tui_thinking_callback
+
             kwargs = {
                 "model": self.model,
                 "messages": messages,
-                "stream": False
+                "stream": True if stream_cb else False
             }
 
             # ── Function Calling: 注入工具定义 ──
@@ -150,16 +210,45 @@ Ollama AI引擎插件帮助信息
             # 使用Ollama Python库调用API
             response = ollama_client.chat(**kwargs)
 
+            # ── 流式模式：逐块读取 ──
+            if stream_cb:
+                full_content = ""
+                reasoning_content = ""
+                for chunk in response:
+                    if self._cancelled:
+                        break
+                    msg = _safe_get(chunk, "message", {})
+                    # 检查 tool_calls
+                    tc_raw = _safe_get(msg, "tool_calls")
+                    if tc_raw:
+                        # 工具调用 — 走原逻辑
+                        message = msg
+                        tool_calls_raw = tc_raw
+                        break
+                    # 深度思考（Ollama thinking 字段）
+                    rc = _safe_get(msg, "thinking", "")
+                    if rc and thinking_cb:
+                        reasoning_content += rc
+                        thinking_cb(rc)
+                    content = _safe_get(msg, "content", "")
+                    if content:
+                        full_content += content
+                        stream_cb(content)
+                else:
+                    # 流式完成，无工具调用
+                    return full_content.encode('utf-8', 'replace').decode('utf-8')
+            else:
+                message = _safe_get(response, "message", {})
+                tool_calls_raw = _safe_get(message, "tool_calls")
+
             # ── Function Calling: 检查 tool_calls ──
-            message = response.get("message", {})
-            tool_calls_raw = message.get("tool_calls")
             if tool_calls_raw:
                 # Ollama 的 tool_calls 格式: [{"function": {"name": ..., "arguments": {...}}}]
                 fc_calls = []
                 for i, tc in enumerate(tool_calls_raw):
-                    func = tc.get("function", {})
+                    func = _safe_get(tc, "function", {})
-                    name = func.get("name", "")
+                    name = _safe_get(func, "name", "")
-                    args = func.get("arguments", {})
+                    args = _safe_get(func, "arguments", {})
                     call_id = f"call_{name}_{i}"
 
                     # 统一为小狸内部格式
@@ -189,7 +278,7 @@ Ollama AI引擎插件帮助信息
                     }, ensure_ascii=False)
 
             # 普通文本响应
-            content = message.get("content", "")
+            content = _safe_get(message, "content", "")
             # 清理无效的 UTF-8 代理字符
             content = content.encode('utf-8', 'replace').decode('utf-8')
             return content
@@ -309,8 +398,13 @@ Ollama AI引擎插件帮助信息
 
         try:
             response = ollama_client.list()
-            models = [model["name"] for model in response["models"]]
+            models_list = _safe_get(response, "models", [])
-            return models
+            result = []
+            for model in models_list:
+                name = _safe_get(model, "model", "") or _safe_get(model, "name", "")
+                if name:
+                    result.append(name)
+            return result if result else ["未找到本地模型"]
         except Exception as e:
             return [f"获取模型列表失败: {str(e)}"]
     
@@ -392,12 +486,14 @@ Ollama AI引擎插件帮助信息
             
             # 逐块处理响应
             for part in response:
-                if 'status' in part:
+                status = _safe_get(part, "status", None)
-                    status = part['status']
+                if status:
                     print(f"{Fore.YELLOW}{status}{Style.RESET_ALL}")
                     # 检查是否完成
-                    if 'completed' in part and 'total' in part:
+                    completed = _safe_get(part, "completed", None)
-                        if part['completed'] == part['total']:
+                    total = _safe_get(part, "total", None)
+                    if completed is not None and total is not None:
+                        if completed == total:
                             print(f"{Fore.GREEN}模型 {model_name} 拉取完成!{Style.RESET_ALL}")
             
             print(f"{Fore.GREEN}模型 {model_name} 拉取成功!{Style.RESET_ALL}")

ai_engines/openai_engine.py

@@ -57,6 +57,10 @@ OpenAI 兼容格式引擎帮助信息
   /engine.openai models       - 列出可用模型（需要服务端支持）
   /engine.openai set <模型名> - 切换模型
   /engine.openai info         - 显示当前配置信息
+  /engine.openai think        - 查看深度思考状态
+  /engine.openai think on     - 开启深度思考
+  /engine.openai think off    - 关闭深度思考
+  /engine.openai think high   - 开启并设置推理强度 (low/medium/high)
 
 使用说明:
 1. 在 config.json 中配置 api_key、base_url、model
@@ -84,12 +88,17 @@ OpenAI 兼容格式引擎帮助信息
                 self.base_url = engine_config.get("base_url", "").rstrip('/')
                 self.model = engine_config.get("model", "")
                 self.max_history = config.get("system", {}).get("max_history", 10)
+                # 深度思考配置
+                self.deep_think = engine_config.get("deep_think", False)
+                self.reasoning_effort = engine_config.get("reasoning_effort", "medium")
         except Exception as e:
             logger.warning(f"读取配置文件失败: {e}")
             self.api_key = ""
             self.base_url = ""
             self.model = ""
             self.max_history = 10
+            self.deep_think = False
+            self.reasoning_effort = "medium"
 
         # 初始化对话历史
         self.conversation_history = []
@@ -153,6 +162,21 @@ OpenAI 兼容格式引擎帮助信息
                 "stream": False
             }
 
+            # ── 深度思考模式 ──
+            self._inject_thinking_prompt = None  # 清除标记
+            if self.deep_think:
+                body = self._apply_deep_think(body)
+                # 不支持原生思考的模型，注入提示词
+                if self._inject_thinking_prompt:
+                    thinking_hint = self._get_thinking_prompt(self._inject_thinking_prompt)
+                    if thinking_hint and messages:
+                        # 追加到系统提示词末尾
+                        if messages[0].get("role") == "system":
+                            messages[0]["content"] += thinking_hint
+                        else:
+                            messages.insert(0, {"role": "system", "content": thinking_hint})
+                        body["messages"] = messages
+
             # ── Function Calling: 注入工具定义 ──
             if tools:
                 body["tools"] = tools
@@ -188,11 +212,16 @@ OpenAI 兼容格式引擎帮助信息
 
                     # 普通文本响应
                     ai_response = message.get("content", "")
+                    reasoning = message.get("reasoning_content", "")
                     if ai_response:
                         # 清理无效的 UTF-8 代理字符
                         ai_response = ai_response.encode('utf-8', 'replace').decode('utf-8')
-                        # 处理思考内容
+                        # 处理思考内容（从 <think> 标签中提取）
                         ai_response = self._process_thinking_content(ai_response)
+                    # 显示思维链
+                    if reasoning:
+                        reasoning = reasoning.encode('utf-8', 'replace').decode('utf-8')
+                        print(f"{Fore.LIGHTBLACK_EX}[深度思考: {reasoning[:500]}{'...' if len(reasoning) > 500 else ''}]{Style.RESET_ALL}")
                     return ai_response or ""
                 else:
                     return f"API 返回格式错误: {response_data}"
@@ -337,6 +366,93 @@ OpenAI 兼容格式引擎帮助信息
 
         return response
 
+    def _apply_deep_think(self, body: dict) -> dict:
+        """
+        通用深度思考适配。
+        原生支持的模型用 API 参数，不支持的用提示词模拟。
+        """
+        model = (self.model or "").lower()
+        effort = self.reasoning_effort  # low / medium / high
+
+        # ── 原生支持：API 参数 ──
+
+        # DeepSeek / MiMo
+        if "deepseek" in model or "mimo" in model:
+            body["enable_thinking"] = True
+            body.pop("temperature", None)
+            if effort:
+                body["reasoning_effort"] = effort
+            return body
+
+        # OpenAI o-series (o1, o3, o4-mini 等)
+        if model.startswith("o") and (model[1:2].isdigit() or model[1:3] in ("1-", "3-", "4-")):
+            body["reasoning"] = {"effort": effort}
+            return body
+
+        # Anthropic Claude (通过 OpenAI 兼容层)
+        if "claude" in model or "anthropic" in model:
+            body["thinking"] = {"type": "enabled", "budget_tokens": self._thinking_budget(effort)}
+            return body
+
+        # Grok
+        if "grok" in model:
+            body["thinking"] = {"enabled": True}
+            return body
+
+        # Gemini thinking 模型
+        if "gemini" in model and "thinking" in model:
+            return body  # 模型名自带 thinking，不需要额外参数
+
+        # ── 不支持原生思考：用提示词模拟 ──
+        self._inject_thinking_prompt = effort
+        return body
+
+    @staticmethod
+    def _thinking_budget(effort: str) -> int:
+        """思考 token 预算"""
+        return {"low": 2048, "medium": 8192, "high": 32768}.get(effort, 8192)
+
+    def _get_thinking_prompt(self, effort: str) -> str:
+        """根据思考等级生成提示词（注入系统提示词末尾）"""
+        if effort == "low":
+            return ""
+
+        if effort == "medium":
+            return (
+                "\n\n【思考模式：中等】\n"
+                "回答前请先逐步思考：\n"
+                "1. 分析用户的核心需求\n"
+                "2. 列出关键因素和约束\n"
+                "3. 考虑可能的方案\n"
+                "4. 选择最优方案并解释理由\n"
+                "然后再给出最终回答。"
+            )
+
+        # high
+        return (
+            "\n\n【思考模式：深度推理】\n"
+            "你必须使用结构化深度推理框架回答问题。严格遵循以下步骤：\n\n"
+            "## 第一步：问题分解\n"
+            "- 将问题拆解为子问题\n"
+            "- 识别关键约束和边界条件\n"
+            "- 明确输入输出要求\n\n"
+            "## 第二步：多角度分析\n"
+            "- 从至少 3 个不同角度分析问题\n"
+            "- 评估每种方案的优缺点\n"
+            "- 考虑边界情况和异常场景\n\n"
+            "## 第三步：方案设计\n"
+            "- 选择最优方案并详细说明理由\n"
+            "- 给出具体的实现步骤\n"
+            "- 预判可能的问题并给出预防措施\n\n"
+            "## 第四步：验证与优化\n"
+            "- 检验方案是否满足所有约束\n"
+            "- 考虑是否有更优解\n"
+            "- 给出最终答案和注意事项\n\n"
+            "## 输出格式\n"
+            "先输出推理过程（用 [思考] 标记），再输出最终答案。\n"
+            "推理过程要详细但不啰嗦，最终答案要简洁明确。"
+        )
+
     def set_model(self, model_name):
         """设置模型"""
         self.model = model_name
@@ -392,11 +508,31 @@ OpenAI 兼容格式引擎帮助信息
 
         elif command == "info":
             print(f"{Fore.GREEN}OpenAI 兼容引擎配置:{Style.RESET_ALL}")
-            print(f"  base_url: {self.base_url}")
+            print(f"  base_url:      {self.base_url}")
-            print(f"  model:    {self.model}")
+            print(f"  model:         {self.model}")
-            print(f"  api_key:  {'已设置' if self.api_key else '未设置'}")
+            print(f"  api_key:       {'已设置' if self.api_key else '未设置'}")
+            print(f"  deep_think:    {'开启' if self.deep_think else '关闭'}")
+            if self.deep_think:
+                print(f"  reasoning:     {self.reasoning_effort}")
+            return True
+
+        elif command.startswith("think"):
+            # /engine.openai think [on|off|low|medium|high]
+            arg = command.replace("think", "").strip().lower()
+            if arg in ("off", "0", "false"):
+                self.deep_think = False
+                print(f"{Fore.YELLOW}深度思考已关闭{Style.RESET_ALL}")
+            elif arg in ("on", "1", "true", ""):
+                self.deep_think = True
+                print(f"{Fore.GREEN}深度思考已开启 (reasoning_effort: {self.reasoning_effort}){Style.RESET_ALL}")
+            elif arg in ("low", "medium", "high"):
+                self.deep_think = True
+                self.reasoning_effort = arg
+                print(f"{Fore.GREEN}深度思考已开启 (reasoning_effort: {arg}){Style.RESET_ALL}")
+            else:
+                print(f"{Fore.RED}用法: /engine.openai think [on|off|low|medium|high]{Style.RESET_ALL}")
             return True
 
         else:
-            print(f"{Fore.RED}未知命令. 可用命令: models, set, info{Style.RESET_ALL}")
+            print(f"{Fore.RED}未知命令. 可用: models, set, info, think{Style.RESET_ALL}")
             return False

config.json.example

@@ -9,7 +9,9 @@
       "openai": {
         "api_key": "your-api-key-here",
         "base_url": "https://api.deepseek.com/v1",
-        "model": "deepseek-chat"
+        "model": "deepseek-chat",
+        "deep_think": false,
+        "reasoning_effort": "medium"
       }
     }
   },

image_engine/__init__.py

@@ -106,7 +106,7 @@ class ImageEngineManager:
         
         for filename in os.listdir(engine_dir):
             if filename.endswith('_engine.py') and filename != '__init__.py':
-                engine_name = filename[:-11]  # 移除 _engine.py
+                engine_name = filename[:-10]  # 移除 _engine.py
                 try:
                     # 动态导入模块
                     module_path = os.path.join(engine_dir, filename)

image_engine/ollama_engine.py

@@ -14,6 +14,14 @@ except ImportError:
     OLLAMA_AVAILABLE = False
 
 
+def _safe_get(obj, key, default=None):
+    """兼容 dict 和 pydantic 对象的安全取值"""
+    try:
+        return obj[key]
+    except (KeyError, AttributeError, TypeError):
+        return default
+
+
 class OllamaImageEngine(BaseImageEngine):
     """Ollama 视觉引擎"""
     
@@ -69,7 +77,7 @@ class OllamaImageEngine(BaseImageEngine):
         
         try:
             result = ollama.list()
-            self.installed_models = [m['model'] for m in result.get('models', [])]
+            self.installed_models = [m['model'] for m in _safe_get(result, 'models', [])]
         except:
             self.installed_models = []
     
@@ -137,7 +145,7 @@ class OllamaImageEngine(BaseImageEngine):
                     'images': [image_path]
                 }]
             )
-            return response.get('message', {}).get('content', '')
+            return _safe_get(_safe_get(response, 'message', {}), 'content', '')
         except Exception as e:
             raise Exception(f"Ollama识别失败: {str(e)}")
     
@@ -168,7 +176,7 @@ class OllamaImageEngine(BaseImageEngine):
                 stream=False
             )
             
-            content = response.get('message', {}).get('content', '')
+            content = _safe_get(_safe_get(response, 'message', {}), 'content', '')
             if content:
                 yield content
             else:

operit_scripts/android_api_test.py

@@ -0,0 +1,415 @@
+# METADATA
+# {
+#     "name": "android_api_test",
+#     "display_name": {"zh": "Android API 转译测试", "en": "Android API Translation Test"},
+#     "description": {"zh": "测试 Android-pyApi 能否成功转译调用安卓 API 的脚本", "en": "Test if Android-pyApi can translate Android API scripts"},
+#     "enabledByDefault": true,
+#     "category": "Test",
+#     "tools": [
+#         {"name": "test_intent", "description": {"zh": "测试 Intent API", "en": "Test Intent API"}, "parameters": []},
+#         {"name": "test_uri", "description": {"zh": "测试 Uri API", "en": "Test Uri API"}, "parameters": []},
+#         {"name": "test_bundle", "description": {"zh": "测试 Bundle API", "en": "Test Bundle API"}, "parameters": []},
+#         {"name": "test_file_io", "description": {"zh": "测试 java.io.File API", "en": "Test java.io.File API"}, "parameters": []},
+#         {"name": "test_json", "description": {"zh": "测试 JSONObject API", "en": "Test JSONObject API"}, "parameters": []},
+#         {"name": "test_collections", "description": {"zh": "测试 ArrayList/HashMap API", "en": "Test ArrayList/HashMap API"}, "parameters": []},
+#         {"name": "test_environment", "description": {"zh": "测试 Environment API", "en": "Test Environment API"}, "parameters": []},
+#         {"name": "test_log", "description": {"zh": "测试 Log API", "en": "Test Log API"}, "parameters": []},
+#         {"name": "test_settings", "description": {"zh": "测试 Settings API", "en": "Test Settings API"}, "parameters": []},
+#         {"name": "test_bitmap", "description": {"zh": "测试 Bitmap/Canvas/Color API", "en": "Test Bitmap/Canvas/Color API"}, "parameters": []},
+#         {"name": "test_string_builder", "description": {"zh": "测试 StringBuilder API", "en": "Test StringBuilder API"}, "parameters": []},
+#         {"name": "test_content_values", "description": {"zh": "测试 ContentValues API", "en": "Test ContentValues API"}, "parameters": []},
+#         {"name": "test_run_all", "description": {"zh": "运行全部测试", "en": "Run all tests"}, "parameters": []}
+#     ]
+# }
+
+import os
+import sys
+import json
+import tempfile
+
+async def test_intent(params):
+    """测试 Intent — Android 最核心的 API"""
+    results = []
+    
+    # 创建 Intent
+    intent = Intent("android.intent.action.VIEW")
+    results.append(f"Intent action: {intent.getAction()}")
+    
+    # 设置 Data Uri
+    intent.setData(Uri.parse("https://www.example.com/path?key=value"))
+    results.append(f"Intent data: {intent.getData()}")
+    
+    # 设置 Package
+    intent.setPackage("com.example.app")
+    results.append(f"Intent package: {intent.getPackage()}")
+    
+    # 添加 Category
+    intent.addCategory("android.intent.category.DEFAULT")
+    results.append(f"Intent categories: {intent.getCategories()}")
+    
+    # 设置 Flag
+    intent.setFlags(0x10000000)  # FLAG_ACTIVITY_NEW_TASK
+    results.append(f"Intent flags: {hex(intent.getFlags())}")
+    
+    # 添加 Extra
+    intent.putExtra("extra_key", "extra_value")
+    intent.putExtra("extra_int", 42)
+    results.append(f"Intent extra string: {intent.getStringExtra('extra_key')}")
+    results.append(f"Intent extra int: {intent.getIntExtra('extra_int', 0)}")
+    
+    return {"success": True, "results": results}
+
+async def test_uri(params):
+    """测试 Uri — Android URI 解析"""
+    results = []
+    
+    uri = Uri.parse("content://com.example.provider/items/42?sort=desc#fragment")
+    results.append(f"scheme: {uri.getScheme()}")
+    results.append(f"authority: {uri.getAuthority()}")
+    results.append(f"host: {uri.getHost()}")
+    results.append(f"path: {uri.getPath()}")
+    results.append(f"query: {uri.getQuery()}")
+    results.append(f"fragment: {uri.getFragment()}")
+    results.append(f"lastPathSegment: {uri.getLastPathSegment()}")
+    
+    # 测试 Uri.Builder
+    builder = Uri.Builder()
+    builder.scheme("https")
+    builder.authority("api.example.com")
+    builder.appendPath("v1")
+    builder.appendPath("users")
+    builder.appendQueryParameter("limit", "10")
+    built_uri = builder.build()
+    results.append(f"built uri: {built_uri.toString() if hasattr(built_uri, 'toString') else str(built_uri)}")
+    
+    return {"success": True, "results": results}
+
+async def test_bundle(params):
+    """测试 Bundle — Android 数据传递"""
+    results = []
+    
+    bundle = Bundle()
+    bundle.putString("name", "Test User")
+    bundle.putInt("age", 25)
+    bundle.putBoolean("active", True)
+    bundle.putDouble("score", 95.5)
+    
+    results.append(f"name: {bundle.getString('name')}")
+    results.append(f"age: {bundle.getInt('age')}")
+    results.append(f"active: {bundle.getBoolean('active')}")
+    results.append(f"score: {bundle.getDouble('score')}")
+    
+    # 测试 keySet
+    keys = bundle.keySet()
+    results.append(f"keys: {keys}")
+    
+    # 测试 containsKey
+    results.append(f"has 'name': {bundle.containsKey('name')}")
+    results.append(f"has 'missing': {bundle.containsKey('missing')}")
+    
+    return {"success": True, "results": results}
+
+async def test_file_io(params):
+    """测试 java.io.File — 文件操作"""
+    results = []
+    
+    # 创建 File 对象
+    f = File(tempfile.gettempdir(), "operit_test.txt")
+    results.append(f"path: {f.getPath()}")
+    results.append(f"absolutePath: {f.getAbsolutePath()}")
+    results.append(f"name: {f.getName()}")
+    results.append(f"parent: {f.getParent()}")
+    results.append(f"exists before: {f.exists()}")
+    
+    # 创建文件
+    f.createNewFile()
+    results.append(f"exists after create: {f.exists()}")
+    
+    # 写入内容 (用 Python open)
+    with open(f.getAbsolutePath(), "w") as fh:
+        fh.write("Hello from Android-pyApi!")
+    
+    # 读取
+    with open(f.getAbsolutePath(), "r") as fh:
+        content = fh.read()
+    results.append(f"content: {content}")
+    
+    # 文件大小
+    results.append(f"length: {f.length()}")
+    
+    # 删除
+    f.delete()
+    results.append(f"exists after delete: {f.exists()}")
+    
+    # 测试目录
+    d = File(tempfile.gettempdir(), "operit_test_dir")
+    d.mkdirs()
+    results.append(f"dir exists: {d.exists()}")
+    results.append(f"isDirectory: {d.isDirectory()}")
+    d.delete()
+    
+    return {"success": True, "results": results}
+
+async def test_json(params):
+    """测试 JSONObject/JSONArray — JSON 处理"""
+    results = []
+    
+    # 创建 JSONObject
+    obj = JSONObject()
+    obj.put("name", "Test")
+    obj.put("version", 3)
+    obj.put("active", True)
+    
+    # 创建 JSONArray
+    arr = JSONArray()
+    arr.put("item1")
+    arr.put("item2")
+    arr.put("item3")
+    obj.put("items", arr)
+    
+    # 读取
+    results.append(f"name: {obj.getString('name')}")
+    results.append(f"version: {obj.getInt('version')}")
+    results.append(f"active: {obj.getBoolean('active')}")
+    results.append(f"items length: {obj.getJSONArray('items').length()}")
+    results.append(f"items[0]: {obj.getJSONArray('items').getString(0)}")
+    
+    # toString
+    json_str = obj.toString()
+    results.append(f"toString: {json_str}")
+    
+    # 从字符串解析
+    parsed = JSONObject('{"key":"value","num":123}')
+    results.append(f"parsed key: {parsed.getString('key')}")
+    results.append(f"parsed num: {parsed.getInt('num')}")
+    
+    return {"success": True, "results": results}
+
+async def test_collections(params):
+    """测试 ArrayList/HashMap — Java 集合"""
+    results = []
+    
+    # ArrayList
+    lst = ArrayList()
+    lst.add("first")
+    lst.add("second")
+    lst.add("third")
+    results.append(f"ArrayList size: {lst.size()}")
+    results.append(f"ArrayList[0]: {lst.get(0)}")
+    results.append(f"ArrayList contains 'second': {lst.contains('second')}")
+    lst.remove("second")
+    results.append(f"After remove, size: {lst.size()}")
+    
+    # HashMap
+    m = HashMap()
+    m.put("key1", "value1")
+    m.put("key2", "value2")
+    m.put("key3", "value3")
+    results.append(f"HashMap size: {m.size()}")
+    results.append(f"HashMap[key1]: {m.get('key1')}")
+    results.append(f"HashMap containsKey 'key2': {m.containsKey('key2')}")
+    m.remove("key2")
+    results.append(f"After remove, size: {m.size()}")
+    
+    # HashSet
+    s = HashSet()
+    s.add("a")
+    s.add("b")
+    s.add("a")  # 重复
+    results.append(f"HashSet size: {s.size()}")
+    results.append(f"HashSet contains 'a': {s.contains('a')}")
+    
+    return {"success": True, "results": results}
+
+async def test_environment(params):
+    """测试 Environment — Android 存储目录"""
+    results = []
+    
+    # 外部存储目录
+    external = Environment.getExternalStorageDirectory()
+    results.append(f"externalStorage: {external.getPath() if hasattr(external, 'getPath') else str(external)}")
+    
+    # 数据目录
+    data_dir = Environment.getDataDirectory()
+    results.append(f"dataDirectory: {data_dir.getPath() if hasattr(data_dir, 'getPath') else str(data_dir)}")
+    
+    # 缓存目录
+    cache_dir = Environment.getDownloadCacheDirectory()
+    results.append(f"downloadCacheDirectory: {cache_dir.getPath() if hasattr(cache_dir, 'getPath') else str(cache_dir)}")
+    
+    # 状态检查
+    results.append(f"externalStorageState: {Environment.getExternalStorageState()}")
+    
+    return {"success": True, "results": results}
+
+async def test_log(params):
+    """测试 Log — Android 日志"""
+    results = []
+    
+    # 各种日志级别
+    Log.v("TestTag", "Verbose message")
+    Log.d("TestTag", "Debug message")
+    Log.i("TestTag", "Info message")
+    Log.w("TestTag", "Warning message")
+    Log.e("TestTag", "Error message")
+    
+    results.append("All log levels executed (check stderr above)")
+    
+    # 测试 getStackTraceString
+    try:
+        raise Exception("Test exception")
+    except Exception as e:
+        stack = Log.getStackTraceString(e)
+        results.append(f"stackTrace length: {len(stack)}")
+    
+    return {"success": True, "results": results}
+
+async def test_settings(params):
+    """测试 Settings — Android 系统设置"""
+    results = []
+    
+    # Settings.System 常量
+    results.append(f"Settings.System.SCREEN_BRIGHTNESS: {getattr(Settings.System, 'SCREEN_BRIGHTNESS', 'N/A') if hasattr(Settings, 'System') else 'Settings.System not available'}")
+    
+    # Settings.Global 常量
+    results.append(f"Settings.Global.AIRPLANE_MODE_ON: {getattr(Settings.Global, 'AIRPLANE_MODE_ON', 'N/A') if hasattr(Settings, 'Global') else 'Settings.Global not available'}")
+    
+    # Settings.Secure 常量
+    results.append(f"Settings.Secure.ADB_ENABLED: {getattr(Settings.Secure, 'ADB_ENABLED', 'N/A') if hasattr(Settings, 'Secure') else 'Settings.Secure not available'}")
+    
+    return {"success": True, "results": results}
+
+async def test_bitmap(params):
+    """测试 Bitmap/Canvas/Color — Android 图形"""
+    results = []
+    
+    # Color 常量
+    results.append(f"Color.RED: {hex(Color.RED)}")
+    results.append(f"Color.GREEN: {hex(Color.GREEN)}")
+    results.append(f"Color.BLUE: {hex(Color.BLUE)}")
+    results.append(f"Color.BLACK: {hex(Color.BLACK)}")
+    results.append(f"Color.WHITE: {hex(Color.WHITE)}")
+    
+    # Color 方法
+    results.append(f"Color.rgb(255,128,0): {hex(Color.rgb(255, 128, 0))}")
+    results.append(f"Color.red(0xFF8000): {Color.red(0xFF8000)}")
+    results.append(f"Color.green(0xFF8000): {Color.green(0xFF8000)}")
+    results.append(f"Color.blue(0xFF8000): {Color.blue(0xFF8000)}")
+    
+    # Paint
+    paint = Paint()
+    paint.setColor(Color.RED)
+    paint.setTextSize(24)
+    paint.setAntiAlias(True)
+    results.append(f"Paint color: {hex(paint.getColor())}")
+    results.append(f"Paint textSize: {paint.getTextSize()}")
+    results.append(f"Paint antiAlias: {paint.isAntiAlias()}")
+    
+    # Rect
+    rect = Rect(0, 0, 100, 200)
+    results.append(f"Rect width: {rect.width()}")
+    results.append(f"Rect height: {rect.height()}")
+    results.append(f"Rect contains(50,50): {rect.contains(50, 50)}")
+    
+    return {"success": True, "results": results}
+
+async def test_string_builder(params):
+    """测试 StringBuilder — Java 字符串构建"""
+    results = []
+    
+    sb = StringBuilder()
+    sb.append("Hello")
+    sb.append(" ")
+    sb.append("World")
+    sb.append("!")
+    results.append(f"toString: {sb.toString()}")
+    results.append(f"length: {sb.length()}")
+    
+    sb.insert(5, ",")
+    results.append(f"after insert: {sb.toString()}")
+    
+    sb.delete(5, 6)
+    results.append(f"after delete: {sb.toString()}")
+    
+    sb.reverse()
+    results.append(f"after reverse: {sb.toString()}")
+    
+    return {"success": True, "results": results}
+
+async def test_content_values(params):
+    """测试 ContentValues — Android 数据库操作"""
+    results = []
+    
+    cv = ContentValues()
+    cv.put("name", "Test Item")
+    cv.put("quantity", 10)
+    cv.put("price", 9.99)
+    cv.put("active", True)
+    cv.putNull("description")
+    
+    results.append(f"name: {cv.get('name')}")
+    results.append(f"quantity: {cv.get('quantity')}")
+    results.append(f"price: {cv.get('price')}")
+    results.append(f"active: {cv.get('active')}")
+    results.append(f"description: {cv.get('description')}")
+    results.append(f"size: {cv.size()}")
+    results.append(f"keySet: {cv.keySet()}")
+    
+    return {"success": True, "results": results}
+
+async def test_run_all(params):
+    """运行全部测试"""
+    all_results = {}
+    tests = [
+        ("test_intent", test_intent),
+        ("test_uri", test_uri),
+        ("test_bundle", test_bundle),
+        ("test_file_io", test_file_io),
+        ("test_json", test_json),
+        ("test_collections", test_collections),
+        ("test_environment", test_environment),
+        ("test_log", test_log),
+        ("test_settings", test_settings),
+        ("test_bitmap", test_bitmap),
+        ("test_string_builder", test_string_builder),
+        ("test_content_values", test_content_values),
+    ]
+    
+    passed = 0
+    failed = 0
+    
+    for name, func in tests:
+        try:
+            result = await func({})
+            if result.get("success"):
+                passed += 1
+                all_results[name] = "✅ PASS"
+            else:
+                failed += 1
+                all_results[name] = f"❌ FAIL: {result.get('message', 'unknown')}"
+        except Exception as e:
+            failed += 1
+            all_results[name] = f"❌ ERROR: {e}"
+    
+    return {
+        "success": failed == 0,
+        "passed": passed,
+        "failed": failed,
+        "total": len(tests),
+        "details": all_results
+    }
+
+# 注册工具
+exports["test_intent"] = test_intent
+exports["test_uri"] = test_uri
+exports["test_bundle"] = test_bundle
+exports["test_file_io"] = test_file_io
+exports["test_json"] = test_json
+exports["test_collections"] = test_collections
+exports["test_environment"] = test_environment
+exports["test_log"] = test_log
+exports["test_settings"] = test_settings
+exports["test_bitmap"] = test_bitmap
+exports["test_string_builder"] = test_string_builder
+exports["test_content_values"] = test_content_values
+exports["test_run_all"] = test_run_all

operit_scripts/test_tool.py

@@ -0,0 +1,28 @@
+# METADATA
+# {
+#     "name": "test_tool",
+#     "display_name": {"zh": "测试工具", "en": "Test Tool"},
+#     "description": {"zh": "测试 operit_loader 转译层", "en": "Test operit_loader translation layer"},
+#     "enabledByDefault": true,
+#     "category": "Utility",
+#     "tools": [
+#         {"name": "echo", "description": {"zh": "回显消息", "en": "Echo message"}, "parameters": [
+#             {"name": "message", "description": {"zh": "消息内容", "en": "Message content"}, "type": "string", "required": true}
+#         ]},
+#         {"name": "get_device_info", "description": {"zh": "获取设备信息", "en": "Get device info"}, "parameters": []}
+#     ]
+# }
+
+import os
+import json
+
+async def echo(params):
+    message = params.get("message", "hello")
+    return {"success": True, "message": f"Echo: {message}"}
+
+async def get_device_info(params):
+    result = await Tools.System.getDeviceInfo()
+    return result
+
+exports["echo"] = echo
+exports["get_device_info"] = get_device_info

plugin_registry.json

@@ -10,10 +10,22 @@
       "file": "dglab_ws.py",
       "url": "https://gitee.com/shuiyu1123/xiaoli-cli-plugins/raw/master/dglab_ws/dglab_ws.py",
       "docs": "https://gitee.com/shuiyu1123/xiaoli-cli-plugins/raw/master/dglab_ws/README.md",
-      "deps": ["websocket-client"],
+      "deps": [
-      "optional_deps": ["qrcode"],
+        "websocket-client"
-      "keywords": ["dg-lab", "dglab", "郊狼", "coyote", "websocket", "脉冲"]
+      ],
+      "optional_deps": [
+        "qrcode"
+      ],
+      "keywords": [
+        "dg-lab",
+        "dglab",
+        "郊狼",
+        "coyote",
+        "websocket",
+        "脉冲"
+      ]
     },
+    
     "onebot": {
       "name": "OneBot v11 QQ 机器人",
       "description": "让 xiaoli-cli 成为 QQ 机器人，连接 go-cqhttp/Lagrange/LLOneBot 等 OneBot 实现",
@@ -22,9 +34,20 @@
       "file": "onebot.py",
       "url": "https://gitee.com/shuiyu1123/xiaoli-cli-plugins/raw/master/onebot/onebot.py",
       "docs": "https://gitee.com/shuiyu1123/xiaoli-cli-plugins/raw/master/onebot/README.md",
-      "deps": ["websocket-client"],
+      "deps": [
+        "websocket-client"
+      ],
       "optional_deps": [],
-      "keywords": ["onebot", "qq", "机器人", "bot", "go-cqhttp", "lagrange", "群聊", "私聊"]
+      "keywords": [
+        "onebot",
+        "qq",
+        "机器人",
+        "bot",
+        "go-cqhttp",
+        "lagrange",
+        "群聊",
+        "私聊"
+      ]
     }
   }
 }

plugins/ai_image.py

@@ -1,589 +0,0 @@
-"""
-AI 生图插件 - 基于 ai.2x.nz 自然语言生图接口
-支持自然语言描述、直接 Tag、工作流切换、画风选择等
-"""
-
-import os
-import json
-import time
-import threading
-import hashlib
-import re
-from datetime import datetime
-from urllib.parse import quote
-
-try:
-    import requests
-    REQUESTS_AVAILABLE = True
-except ImportError:
-    REQUESTS_AVAILABLE = False
-
-try:
-    import websocket
-    WEBSOCKET_AVAILABLE = True
-except ImportError:
-    WEBSOCKET_AVAILABLE = False
-
-
-class Liugin:
-    """AI 生图插件 - 调用 ai.2x.nz 接口生成图片"""
-
-    BASE_URL = "https://ai.2x.nz"
-    WS_URL = "wss://ai.2x.nz/ws/run"
-    API_URL = "https://ai.2x.nz/api"
-
-    # 保存目录
-    DEFAULT_SAVE_DIR = "generated_images"
-
-    def __init__(self):
-        self.usage = """AI 生图工具 - 基于自然语言描述生成图片
-
-基本用法:
-  generate <描述>                     - 用自然语言描述生成图片
-  tag <直接Tag>                       - 用 Danbooru Tag 生成图片
-  both <Tag> <<<>>> <描述>            - 同时使用 Tag 和自然语言
-
-高级用法:
-  workflows                           - 列出所有可用工作流
-  switch <工作流名>                   - 切换工作流
-  width <数值>                        - 设置图片宽度 (最大1344)
-  height <数值>                       - 设置图片高度 (最大1344)
-  size <宽> <高>                      - 同时设置宽高
-  rewrite on|off                      - 改写模式开关
-  override on|off                     - 覆写模式开关
-  status                              - 查看当前状态和配置
-
-示例:
-  ai_image generate 一个可爱的猫耳少女，樱花背景
-  ai_image tag 1girl, cat_ears, cherry_blossoms, smile
-  ai_image both 1girl, cat_ears <<<>>> 一个可爱的猫耳少女在樱花树下微笑
-  ai_image workflows
-  ai_image switch WAI - 37.json
-  ai_image size 1024 1024
-  ai_image rewrite on
-"""
-        self.cli = None
-        self.save_dir = self.DEFAULT_SAVE_DIR
-
-        # 配置状态
-        self.current_workflow = None
-        self.direct_prompt = ""
-        self.nl_prompt = ""
-        self.rewrite = False
-        self.override = False
-        self.width = None
-        self.height = None
-        self.workflows_cache = None
-        self.is_generating = False
-
-    def set_cli(self, cli):
-        """设置 CLI 实例引用"""
-        self.cli = cli
-        # 注册插件命令
-        if hasattr(cli, 'register_liugin_command'):
-            cli.register_liugin_command('ai_image', self.command_handler)
-
-    def get_tool_info(self):
-        return {
-            "name": "ai_image",
-            "description": "AI 生图工具 — 基于 ai.2x.nz 接口，支持自然语言描述和 Danbooru Tag 生成图片。当用户想要生成图片、画图、AI绘画、生图时使用此工具。",
-            "keywords": [
-                "生图", "画图", "图片", "AI绘画", "生成图片", "image", "generate",
-                "draw", "绘画", "插画", "二次元", "动漫", "Danbooru", "tag",
-                "工作流", "workflow", "ComfyUI"
-            ],
-            "usage": self.usage
-        }
-
-    def get_mcp_definition(self):
-        return {
-            "name": "ai_image",
-            "description": "AI 生图工具，基于 ai.2x.nz 接口生成图片",
-            "inputSchema": {
-                "type": "object",
-                "properties": {
-                    "operation": {
-                        "type": "string",
-                        "enum": ["generate", "tag", "both", "workflows", "switch", "size", "status"],
-                        "description": "操作类型"
-                    },
-                    "prompt": {
-                        "type": "string",
-                        "description": "生成提示词"
-                    }
-                },
-                "required": ["operation"]
-            }
-        }
-
-    def convert_mcp_args(self, arguments):
-        op = arguments.get("operation", "")
-        prompt = arguments.get("prompt", "")
-        return f"{op} {prompt}"
-
-    def command_handler(self, args):
-        """处理 /ai_image 命令"""
-        return self.handle(args)
-
-    def handle(self, args):
-        """处理 AI 生图请求"""
-        if not REQUESTS_AVAILABLE:
-            return "❌ 缺少 requests 库，请运行: pip install requests"
-
-        args = args.strip()
-        if not args:
-            return self.usage
-
-        # 解析操作
-        parts = args.split(maxsplit=1)
-        operation = parts[0].lower()
-        remaining = parts[1] if len(parts) > 1 else ""
-
-        try:
-            if operation in ["generate", "gen", "g"]:
-                return self._cmd_generate(remaining)
-            elif operation in ["tag", "t", "direct", "d"]:
-                return self._cmd_tag(remaining)
-            elif operation in ["both", "b"]:
-                return self._cmd_both(remaining)
-            elif operation in ["workflows", "wf", "list"]:
-                return self._cmd_workflows()
-            elif operation in ["switch", "sw"]:
-                return self._cmd_switch(remaining)
-            elif operation in ["width", "w"]:
-                return self._cmd_set_width(remaining)
-            elif operation in ["height", "h"]:
-                return self._cmd_set_height(remaining)
-            elif operation in ["size", "s"]:
-                return self._cmd_set_size(remaining)
-            elif operation in ["rewrite", "rw"]:
-                return self._cmd_set_rewrite(remaining)
-            elif operation in ["override", "ov"]:
-                return self._cmd_set_override(remaining)
-            elif operation in ["status", "st"]:
-                return self._cmd_status()
-            elif operation in ["help", "?"]:
-                return self.usage
-            else:
-                # 尝试当作自然语言描述处理
-                return self._cmd_generate(args)
-        except Exception as e:
-            return f"❌ 操作失败: {str(e)}"
-
-    # ── 命令实现 ──
-
-    def _cmd_generate(self, prompt):
-        """自然语言生成图片"""
-        if not prompt.strip():
-            return "❌ 请提供描述内容。示例: ai_image generate 一个可爱的猫耳少女"
-
-        self.nl_prompt = prompt.strip()
-        self.direct_prompt = ""
-        self.override = False
-        return self._run_generation()
-
-    def _cmd_tag(self, tags):
-        """使用直接 Tag 生成图片"""
-        if not tags.strip():
-            return "❌ 请提供 Tag 内容。示例: ai_image tag 1girl, cat_ears, smile"
-
-        self.direct_prompt = tags.strip()
-        self.nl_prompt = ""
-        self.override = True
-        return self._run_generation()
-
-    def _cmd_both(self, args):
-        """同时使用 Tag 和自然语言"""
-        if "<<<>>>" in args:
-            parts = args.split("<<<>>>", 1)
-            self.direct_prompt = parts[0].strip()
-            self.nl_prompt = parts[1].strip()
-        else:
-            # 尝试用 || 分隔
-            if "||" in args:
-                parts = args.split("||", 1)
-                self.direct_prompt = parts[0].strip()
-                self.nl_prompt = parts[1].strip()
-            else:
-                return "❌ 格式错误。用法: ai_image both <Tag> <<<>>> <描述>"
-
-        self.override = False
-        return self._run_generation()
-
-    def _cmd_workflows(self):
-        """列出所有工作流"""
-        workflows = self._fetch_workflows()
-        if not workflows:
-            return "❌ 获取工作流列表失败"
-
-        result = f"📂 共 {len(workflows)} 个工作流:\n\n"
-        for i, wf in enumerate(workflows, 1):
-            name = wf.get("path", "未知")
-            current = " ← [当前]" if name == self.current_workflow else ""
-            result += f"  {i:2d}. {name}{current}\n"
-
-        result += f"\n💡 使用 'ai_image switch <工作流名>' 切换工作流"
-        return result
-
-    def _cmd_switch(self, name):
-        """切换工作流"""
-        if not name.strip():
-            return "❌ 请提供工作流名称。先用 'ai_image workflows' 查看列表"
-
-        # 模糊匹配
-        workflows = self._fetch_workflows()
-        if not workflows:
-            return "❌ 获取工作流列表失败"
-
-        matched = None
-        name_lower = name.strip().lower()
-        for wf in workflows:
-            wf_path = wf.get("path", "")
-            if name_lower == wf_path.lower():
-                matched = wf_path
-                break
-            if name_lower in wf_path.lower():
-                matched = wf_path
-
-        if not matched:
-            # 尝试数字索引
-            try:
-                idx = int(name.strip()) - 1
-                if 0 <= idx < len(workflows):
-                    matched = workflows[idx].get("path", "")
-            except ValueError:
-                pass
-
-        if not matched:
-            return f"❌ 未找到匹配的工作流: {name}\n💡 先用 'ai_image workflows' 查看列表"
-
-        self.current_workflow = matched
-        return f"✅ 已切换工作流: {matched}"
-
-    def _cmd_set_width(self, val):
-        """设置宽度"""
-        try:
-            w = int(val.strip())
-            if w < 64 or w > 1344:
-                return "❌ 宽度范围: 64 ~ 1344"
-            self.width = w
-            return f"✅ 宽度已设置为: {w}"
-        except ValueError:
-            return "❌ 请输入有效数字"
-
-    def _cmd_set_height(self, val):
-        """设置高度"""
-        try:
-            h = int(val.strip())
-            if h < 64 or h > 1344:
-                return "❌ 高度范围: 64 ~ 1344"
-            self.height = h
-            return f"✅ 高度已设置为: {h}"
-        except ValueError:
-            return "❌ 请输入有效数字"
-
-    def _cmd_set_size(self, val):
-        """同时设置宽高"""
-        parts = val.strip().split()
-        if len(parts) < 2:
-            return "❌ 用法: ai_image size <宽> <高>"
-        try:
-            w, h = int(parts[0]), int(parts[1])
-            if w < 64 or w > 1344 or h < 64 or h > 1344:
-                return "❌ 宽高范围: 64 ~ 1344"
-            self.width = w
-            self.height = h
-            return f"✅ 尺寸已设置为: {w} x {h}"
-        except ValueError:
-            return "❌ 请输入有效数字"
-
-    def _cmd_set_rewrite(self, val):
-        """设置改写模式"""
-        val = val.strip().lower()
-        if val in ["on", "开", "1", "true", "yes"]:
-            self.rewrite = True
-            return "✅ 改写模式已开启 — LLM 将智能重写 prompt"
-        elif val in ["off", "关", "0", "false", "no"]:
-            self.rewrite = False
-            return "✅ 改写模式已关闭 — 普通翻译/追加模式"
-        else:
-            self.rewrite = not self.rewrite
-            status = "开启" if self.rewrite else "关闭"
-            return f"✅ 改写模式已{status}"
-
-    def _cmd_set_override(self, val):
-        """设置覆写模式"""
-        val = val.strip().lower()
-        if val in ["on", "开", "1", "true", "yes"]:
-            self.override = True
-            return "✅ 覆写模式已开启 — 忽略工作流内置 prompt"
-        elif val in ["off", "关", "0", "false", "no"]:
-            self.override = False
-            return "✅ 覆写模式已关闭 — 保留工作流内置 prompt"
-        else:
-            self.override = not self.override
-            status = "开启" if self.override else "关闭"
-            return f"✅ 覆写模式已{status}"
-
-    def _cmd_status(self):
-        """查看当前状态"""
-        result = " AI 生图状态:\n\n"
-        result += f"  工作流: {self.current_workflow or '(默认)'}\n"
-        result += f"  直接 Tag: {self.direct_prompt or '(未设置)'}\n"
-        result += f"  自然语言: {self.nl_prompt or '(未设置)'}\n"
-        result += f"  改写模式: {'✅ 开启' if self.rewrite else '❌ 关闭'}\n"
-        result += f"  覆写模式: {'✅ 开启' if self.override else '❌ 关闭'}\n"
-        result += f"  宽度: {self.width or '(默认)'}\n"
-        result += f"  高度: {self.height or '(默认)'}\n"
-        result += f"  保存目录: {self.save_dir}\n"
-        result += f"  生成中: {'是' if self.is_generating else '否'}\n"
-        return result
-
-    # ── 核心生图逻辑 ──
-
-    def _fetch_workflows(self):
-        """获取工作流列表"""
-        if self.workflows_cache:
-            return self.workflows_cache
-
-        try:
-            resp = requests.get(f"{self.API_URL}/workflows", timeout=15)
-            if resp.status_code == 200:
-                data = resp.json()
-                self.workflows_cache = data.get("workflows", [])
-                return self.workflows_cache
-        except Exception as e:
-            pass
-        return []
-
-    def _run_generation(self):
-        """执行图片生成"""
-        if self.is_generating:
-            return "⚠️ 已有生成任务在进行中，请等待完成"
-
-        if not self.direct_prompt and not self.nl_prompt:
-            return "❌ 请提供至少一种 prompt（直接 Tag 或自然语言描述）"
-
-        self.is_generating = True
-        result_lines = []
-        image_paths = []
-
-        try:
-            # 获取默认工作流（如果未指定则使用列表中第一个）
-            workflow = self.current_workflow
-            if not workflow:
-                workflows = self._fetch_workflows()
-                if workflows:
-                    # 优先选 "无Lora" 工作流，否则用第一个
-                    for wf in workflows:
-                        if "无lora" in wf.get("path", "").lower():
-                            workflow = wf["path"]
-                            break
-                    if not workflow:
-                        workflow = workflows[0].get("path", "")
-
-            # 构建 payload
-            payload = {
-                "workflow_path": workflow or "",
-                "inline_workflow": None,
-                "direct_prompt": self.direct_prompt,
-                "nl_prompt": self.nl_prompt,
-                "rewrite": self.rewrite,
-                "override": self.override,
-                "width": self.width,
-                "height": self.height,
-            }
-
-            result_lines.append("  正在连接 ai.2x.nz ...")
-            result_lines.append(f"  直接 Tag: {self.direct_prompt[:80] or '(无)'}")
-            result_lines.append(f"  自然语言: {self.nl_prompt[:80] or '(无)'}")
-            result_lines.append(f"  工作流: {workflow or '(默认)'}")
-            result_lines.append("")
-
-            # 使用同步方式通过 REST + 轮询获取结果
-            # 由于 websocket-client 可能未安装，提供降级方案
-            if WEBSOCKET_AVAILABLE:
-                images = self._generate_via_ws(payload, result_lines)
-            else:
-                # 降级：尝试使用 requests + SSE 或提示安装
-                result_lines.append("⚠️ websocket-client 未安装，尝试安装...")
-                images = self._generate_via_ws_fallback(payload, result_lines)
-
-            if images:
-                image_paths = images
-                result_lines.append(f"\n✅ 生成完成！共 {len(images)} 张图片")
-                for i, path in enumerate(images, 1):
-                    result_lines.append(f"   {i}. {path}")
-            else:
-                result_lines.append("\n❌ 未生成任何图片")
-
-        except Exception as e:
-            result_lines.append(f"\n❌ 生成失败: {str(e)}")
-        finally:
-            self.is_generating = False
-
-        return "\n".join(result_lines)
-
-    def _generate_via_ws(self, payload, result_lines):
-        """通过 WebSocket 生成图片"""
-        images = []
-        final_prompt = ""
-        error_msg = None
-
-        ws_result = {"images": [], "error": None, "final_prompt": "", "done": False}
-
-        def on_message(ws, message):
-            try:
-                m = json.loads(message)
-                msg_type = m.get("type", "")
-
-                if msg_type == "log":
-                    result_lines.append(f"  {m.get('message', '')}")
-                elif msg_type == "llm_start":
-                    result_lines.append(" LLM 正在处理 prompt...")
-                elif msg_type == "llm_chunk":
-                    pass  # 流式输出，不逐块显示
-                elif msg_type == "llm_done":
-                    result_lines.append(" LLM 处理完成")
-                elif msg_type == "progress":
-                    node = m.get("node", "")
-                    value = m.get("value", 0)
-                    max_val = m.get("max", 0)
-                    if max_val and max_val > 1:
-                        pct = int(value * 100 / max_val)
-                        result_lines.append(f"⏳ 进度: {node} {value}/{max_val} ({pct}%)")
-                    else:
-                        result_lines.append(f"⏳ 执行: {node}")
-                elif msg_type == "prompt_id":
-                    fp = m.get("final_prompt", "")
-                    if fp:
-                        ws_result["final_prompt"] = fp
-                        result_lines.append(f"\n  最终 Prompt:\n{fp[:300]}{'...' if len(fp) > 300 else ''}\n")
-                elif msg_type == "image":
-                    url = m.get("url", "")
-                    filename = m.get("filename", "")
-                    if url:
-                        # 下载图片
-                        saved = self._download_image(url, filename)
-                        if saved:
-                            ws_result["images"].append(saved)
-                            result_lines.append(f"  收到图片: {filename}")
-                elif msg_type == "done":
-                    count = m.get("count", 0)
-                    result_lines.append(f"✅ 服务端完成，共 {count} 张")
-                    ws_result["done"] = True
-                    ws.close()
-                elif msg_type == "error":
-                    ws_result["error"] = m.get("message", "未知错误")
-                    result_lines.append(f"❌ 错误: {ws_result['error']}")
-                    ws.close()
-            except Exception as e:
-                result_lines.append(f"⚠️ 解析消息出错: {e}")
-
-        def on_error(ws, error):
-            ws_result["error"] = str(error)
-            result_lines.append(f"❌ WebSocket 错误: {error}")
-
-        def on_close(ws, close_status_code, close_msg):
-            ws_result["done"] = True
-
-        def on_open(ws):
-            ws.send(json.dumps(payload))
-
-        try:
-            ws = websocket.WebSocketApp(
-                self.WS_URL,
-                on_message=on_message,
-                on_error=on_error,
-                on_close=on_close,
-                on_open=on_open
-            )
-
-            # 在独立线程中运行 WebSocket
-            ws_thread = threading.Thread(target=ws.run_forever, kwargs={"ping_timeout": 10})
-            ws_thread.daemon = True
-            ws_thread.start()
-
-            # 等待完成（最多 5 分钟）
-            timeout = 300
-            start = time.time()
-            while not ws_result["done"] and (time.time() - start) < timeout:
-                time.sleep(1)
-
-            if ws_result["error"]:
-                raise Exception(ws_result["error"])
-
-            if not ws_result["done"]:
-                ws.close()
-                raise Exception("生成超时（超过 5 分钟）")
-
-            return ws_result["images"]
-
-        except Exception as e:
-            raise Exception(f"WebSocket 连接失败: {e}")
-
-    def _generate_via_ws_fallback(self, payload, result_lines):
-        """降级方案：尝试自动安装 websocket-client"""
-        try:
-            import subprocess
-            result_lines.append("  正在安装 websocket-client ...")
-            subprocess.run(
-                ["pip", "install", "websocket-client"],
-                capture_output=True, timeout=60
-            )
-            import importlib
-            global websocket
-            websocket = importlib.import_module("websocket")
-            global WEBSOCKET_AVAILABLE
-            WEBSOCKET_AVAILABLE = True
-            result_lines.append("✅ websocket-client 安装成功")
-            return self._generate_via_ws(payload, result_lines)
-        except Exception as e:
-            result_lines.append(f"❌ 无法安装 websocket-client: {e}")
-            result_lines.append("💡 请手动运行: pip install websocket-client")
-            return []
-
-    def _download_image(self, url, filename):
-        """下载图片到本地"""
-        try:
-            # 确保 URL 是完整的
-            if url.startswith("/"):
-                url = f"{self.BASE_URL}{url}"
-            elif not url.startswith("http"):
-                url = f"{self.BASE_URL}/api/output/file?path={quote(url)}"
-
-            # 创建保存目录
-            os.makedirs(self.save_dir, exist_ok=True)
-
-            # 生成文件名
-            if not filename:
-                filename = f"img_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png"
-
-            # 清理文件名
-            filename = re.sub(r'[<>:"/\\|?*]', '_', filename)
-            save_path = os.path.join(self.save_dir, filename)
-
-            # 如果文件已存在，添加序号
-            if os.path.exists(save_path):
-                name, ext = os.path.splitext(filename)
-                for i in range(1, 100):
-                    new_path = os.path.join(self.save_dir, f"{name}_{i}{ext}")
-                    if not os.path.exists(new_path):
-                        save_path = new_path
-                        break
-
-            # 下载
-            resp = requests.get(url, timeout=60, stream=True)
-            if resp.status_code == 200:
-                with open(save_path, 'wb') as f:
-                    for chunk in resp.iter_content(chunk_size=8192):
-                        f.write(chunk)
-                return save_path
-            else:
-                return None
-
-        except Exception as e:
-            return None
-
-
-# 兼容 Liugin 类名

plugins/ai_search.py

@@ -1,5 +1,6 @@
 import subprocess
 import json
+import time
 from urllib.parse import quote
 import requests
 
@@ -7,6 +8,14 @@ import requests
 class Liugin:
     """AI搜索插件 - 使用jina.ai进行智能搜索"""
 
+    # 统一 User-Agent（模拟浏览器，避免被反爬拦截）
+    _UA = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
+    _HEADERS = {
+        'User-Agent': _UA,
+        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
+        'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
+    }
+
     def __init__(self):
         self.usage = """AI搜索工具使用方法：/r
 ai_search <操作> <参数>/r
@@ -27,6 +36,7 @@ ai_search <操作> <参数>/r
 """
         self.cli = None  # CLI实例引用
         self.timeout = 30  # 请求超时时间（秒）
+        self.max_retries = 2  # 最大重试次数
 
     def set_cli(self, cli):
         """设置CLI实例引用"""
@@ -162,34 +172,50 @@ JSON格式示例：
             return f"网络搜索错误: {str(e)}"
 
     def _execute_curl(self, url):
-        """使用 requests 库获取内容（替代 curl 命令）"""
+        """使用 requests 库获取内容（带重试、UA、编码处理）"""
-        try:
+        last_error = None
-            # 使用 requests 库发送请求
+        for attempt in range(self.max_retries + 1):
-            response = requests.get(
+            try:
-                url,
+                response = requests.get(
-                timeout=self.timeout,
+                    url,
-                headers={'User-Agent': 'Mozilla/5.0 (compatible; AI-Search-Bot)'}
+                    timeout=self.timeout,
-            )
+                    headers=self._HEADERS,
+                    allow_redirects=True
+                )
 
-            # 检查状态码
+                # 检查状态码
-            if response.status_code != 200:
+                if response.status_code != 200:
-                return f"错误：HTTP请求失败，状态码: {response.status_code}"
+                    return f"错误：HTTP请求失败，状态码: {response.status_code}"
 
-            # 获取内容
+                # 显式编码处理：避免 ISO-8859-1 默认导致中文乱码
-            content = response.text.strip()
+                if not response.encoding or response.encoding.lower() == 'iso-8859-1':
+                    response.encoding = response.apparent_encoding or 'utf-8'
 
-            if not content:
+                # 获取内容
-                return "错误：未获取到任何内容"
+                content = response.text.strip()
 
-            # 限制输出长度以避免过长输出
+                if not content:
-            if len(content) > 5000:
+                    return "错误：未获取到任何内容"
-                content = content[:5000] + f"\n\n... (内容已截断，完整内容共{len(content)}字符)"
 
-            return content
+                # 限制输出长度以避免过长输出
+                if len(content) > 5000:
+                    content = content[:5000] + f"\n\n... (内容已截断，完整内容共{len(content)}字符)"
 
-        except requests.Timeout:
+                return content
-            return f"错误：请求超时 (>{self.timeout}秒)"
+
-        except requests.ConnectionError:
+            except requests.exceptions.Timeout:
-            return "错误：网络连接失败，请检查网络"
+                last_error = f"请求超时 (>{self.timeout}秒)"
-        except Exception as e:
+                if attempt < self.max_retries:
-            return f"错误：请求时发生错误: {str(e)}"
+                    time.sleep(1)
+            except requests.exceptions.ConnectionError:
+                last_error = "网络连接失败，请检查网络"
+                if attempt < self.max_retries:
+                    time.sleep(1)
+            except requests.exceptions.RequestException as e:
+                last_error = str(e)
+                break
+            except Exception as e:
+                last_error = str(e)
+                break
+
+        return f"错误：请求时发生错误: {last_error}"

plugins/audio_player.py

@@ -1,169 +0,0 @@
-import os
-import threading
-from colorama import Fore, Style
-
-
-class Liugin:
-    """音频播放插件"""
-    
-    def __init__(self):
-        self.usage = """音频播放工具使用方法：
-audio_player play - 播放音频文件
-例如:
-- audio_player play - 播放Ciallo～(∠・ω- )⌒-.mp3音频文件
-
-使用工具的JSON格式示例:
-{"action": "use_tool", "tool": "audio_player", "args": "play"} - 播放音频文件
-
-直接命令:
-- /ciallo - 播放音频文件
-"""
-        self.cli = None  # CLI实例引用
-        self.audio_file = None  # 音频文件路径将在set_cli中设置
-    
-    def set_cli(self, cli):
-        """设置CLI实例引用"""
-        self.cli = cli
-        # 获取主程序目录路径，通过CLI实例
-        import os
-        # 使用CLI实例中的项目目录信息
-        self.audio_file = os.path.join(os.path.dirname(cli.chat_history_dir), "Ciallo～(∠・ω- )⌒-.mp3")
-        # 注册插件命令
-        self.cli.register_liugin_command('ciallo', self.play_command_handler)
-    
-    def get_tool_info(self):
-            return {
-                "name": "audio_player",
-                "description": "音频播放工具，播放指定的音频文件",
-                "keywords": ["音频", "播放", "audio", "play", "音乐", "声音"],
-                "usage": """audio_player 工具使用说明：
-    JSON格式示例：
-    {"action": "use_tool", "tool": "audio_player", "args": "play"} - 播放音频文件
-    直接命令：/ciallo - 播放音频文件"""
-            }    
-
-    def get_mcp_definition(self):
-        return {
-            "name": "audio_player",
-            "description": "音频播放工具",
-            "inputSchema": {
-                "type": "object",
-                "properties": {
-                    "file": {
-                        "type": "string",
-                        "description": "音频文件路径（可选）"
-                    }
-                }
-            }
-        }
-
-    def convert_mcp_args(self, arguments):
-        return arguments.get("file", "")
-
-    def handle(self, args):
-        """处理音频播放请求"""
-        try:
-            # 解析参数
-            parts = args.strip().split()
-            if len(parts) < 1:
-                return "错误：请提供操作类型。支持的操作：play"
-            
-            operation = parts[0].lower()
-            
-            if operation == "play":
-                return self._play_audio()
-            else:
-                return f"错误：不支持的操作 '{operation}'。支持的操作：play"
-        
-        except Exception as e:
-            return f"音频播放错误: {str(e)}"
-    
-    def play_command_handler(self, args):
-        """处理 /ciallo 命令"""
-        # 在新线程中播放音频，避免阻塞主程序
-        thread = threading.Thread(target=self._play_audio_internal)
-        thread.daemon = True
-        thread.start()
-        return f"正在播放音频文件: {self.audio_file}"
-    
-    def _play_audio(self):
-        """播放音频文件"""
-        try:
-            # 检查音频文件是否存在
-            if not os.path.exists(self.audio_file):
-                return f"错误：音频文件 '{self.audio_file}' 不存在。"
-            
-            # 使用多种方式尝试播放音频
-            success = self._try_play_audio()
-            
-            if success:
-                return f"音频文件 '{self.audio_file}' 播放成功！"
-            else:
-                return f"音频播放失败。请确保已安装相应的音频播放库。"
-        
-        except Exception as e:
-            return f"播放音频时发生错误: {str(e)}"
-    
-    def _play_audio_internal(self):
-        """在新线程中播放音频"""
-        try:
-            # 检查音频文件是否存在
-            if not os.path.exists(self.audio_file):
-                print(f"{Fore.RED}错误：音频文件 '{self.audio_file}' 不存在。{Style.RESET_ALL}")
-                return
-            
-            # 使用多种方式尝试播放音频
-            self._try_play_audio()
-        
-        except Exception as e:
-            print(f"{Fore.RED}播放音频时发生错误: {str(e)}{Style.RESET_ALL}")
-    
-    def _try_play_audio(self):
-        """尝试多种方式播放音频"""
-        # 首先尝试使用pygame（如果已安装）
-        try:
-            import pygame
-            pygame.mixer.init()
-            pygame.mixer.music.load(self.audio_file)
-            pygame.mixer.music.play()
-            
-            # 等待音频播放完成
-            while pygame.mixer.music.get_busy():
-                pygame.time.Clock().tick(10)
-            
-            pygame.mixer.quit()
-            return True
-        except ImportError:
-            pass  # pygame未安装，尝试其他方式
-        except Exception:
-            pass  # 其他pygame相关错误，尝试其他方式
-        
-        # 尝试使用playsound库（如果已安装）
-        try:
-            from playsound import playsound
-            playsound(self.audio_file)
-            return True
-        except ImportError:
-            pass  # playsound未安装，尝试其他方式
-        except Exception:
-            pass  # 其他playsound相关错误，尝试其他方式
-        
-        # 尝试使用winsound（仅Windows）
-        try:
-            import winsound
-            # 对于MP3文件，先尝试使用高级API
-            import subprocess
-            subprocess.run(["start", "", self.audio_file], shell=True)
-            return True
-        except Exception:
-            pass  # winsound相关错误，尝试其他方式
-        
-        # 尝试使用os.startfile（仅Windows）
-        try:
-            os.startfile(self.audio_file)  # 这会使用默认程序打开文件
-            return True
-        except Exception:
-            pass  # os.startfile相关错误
-        
-        # 如果所有方式都失败，返回False
-        return False

plugins/auto_engineer.py

@@ -368,8 +368,16 @@ class Liugin:
         if not test_files and len(py_files) > 5:
             suggestions.append(" 添加单元测试")
 
-        uses_print = sum(1 for f in py_files if 'print(' in open(f, errors='ignore').read())
+        uses_print = 0
-        uses_log = sum(1 for f in py_files if 'logging' in open(f, errors='ignore').read())
+        uses_log = 0
+        for f in py_files:
+            with open(f, errors='ignore') as fh:
+                content = fh.read()
+            if 'print(' in content:
+                uses_print += 1
+            if 'logging' in content:
+                uses_log += 1
+
         if uses_print > uses_log and uses_print > 3:
             suggestions.append(" 考虑用 logging 替代 print")
 

plugins/bookmark_manager.py

@@ -1,489 +0,0 @@
-"""
-书签管理器插件 - 管理开发相关链接和资源
-支持分类、标签、搜索、导入导出，JSON 持久化
-"""
-
-import json
-import os
-import hashlib
-import time
-from datetime import datetime
-from typing import List, Optional
-
-
-class Liugin:
-    """书签管理器 - 开发资源和链接管理"""
-
-    def __init__(self):
-        self.usage = """书签管理器
-
-操作:
-  add <URL> -n <名称> [-c 分类] [-t 标签1,标签2] [-d 描述]
-                                  - 添加书签
-  list [-c 分类] [-t 标签]       - 列出书签
-  open <名称或ID>                - 获取书签 URL
-  search <关键词>                 - 搜索书签
-  delete <名称或ID>              - 删除书签
-  edit <名称或ID> [-n 名称] [-d 描述] [-c 分类] [-t 标签]
-                                  - 编辑书签
-  categories                     - 列出所有分类
-  tags                           - 列出所有标签
-  export [文件]                  - 导出书签
-  import <文件>                  - 导入书签
-  stats                          - 统计信息
-  recent [-n 数量]               - 最近添加的书签
-  check                          - 检查书签是否可访问
-  favicon <URL>                  - 获取网站 favicon URL
-
-示例:
-  bookmark_manager add https://github.com -n GitHub -c 开发 -t 代码,托管 -d 代码托管平台
-  bookmark_manager list -c 开发
-  bookmark_manager search github
-  bookmark_manager open GitHub
-  bookmark_manager categories
-"""
-        self.cli = None
-        self.bookmarks_file = "bookmarks.json"
-        self.bookmarks = []
-        self._load_bookmarks()
-
-    def set_cli(self, cli):
-        self.cli = cli
-
-    def get_tool_info(self):
-        return {
-            "name": "bookmark_manager",
-            "description": "书签管理器 - 管理开发相关链接和资源，支持分类、标签、搜索",
-            "keywords": ["书签", "链接", "收藏", "bookmark", "网址", "资源", "网站", "URL"],
-            "usage": self.usage
-        }
-
-    def get_mcp_definition(self):
-        return {
-            "name": "bookmark_manager",
-            "description": "书签管理器，支持添加、搜索、获取、删除书签",
-            "inputSchema": {
-                "type": "object",
-                "properties": {
-                    "operation": {
-                        "type": "string",
-                        "enum": ["add", "list", "open", "search", "delete",
-                                 "edit", "categories", "tags", "export",
-                                 "import", "stats", "recent", "check"],
-                        "description": "操作类型"
-                    },
-                    "url": {"type": "string", "description": "URL"},
-                    "name": {"type": "string", "description": "书签名称"},
-                    "category": {"type": "string", "description": "分类"},
-                    "tags": {"type": "string", "description": "标签（逗号分隔）"},
-                    "description": {"type": "string", "description": "描述"},
-                    "keyword": {"type": "string", "description": "搜索关键词"},
-                    "file": {"type": "string", "description": "文件路径"},
-                    "count": {"type": "integer", "description": "数量"}
-                },
-                "required": ["operation"]
-            }
-        }
-
-    def convert_mcp_args(self, arguments):
-        op = arguments.get("operation", "")
-        name = arguments.get("name", "")
-        return f"{op} {name}".strip()
-
-    def _load_bookmarks(self):
-        try:
-            if os.path.exists(self.bookmarks_file):
-                with open(self.bookmarks_file, 'r', encoding='utf-8') as f:
-                    self.bookmarks = json.load(f)
-        except Exception:
-            self.bookmarks = []
-
-    def _save_bookmarks(self):
-        try:
-            with open(self.bookmarks_file, 'w', encoding='utf-8') as f:
-                json.dump(self.bookmarks, f, ensure_ascii=False, indent=2)
-            return None
-        except Exception as e:
-            return f"保存失败: {e}"
-
-    def _gen_id(self, url: str) -> str:
-        return hashlib.md5(f"{url}{time.time()}".encode()).hexdigest()[:8]
-
-    def handle(self, args: str) -> str:
-        try:
-            parts = self._parse_args(args)
-            if not parts:
-                return self._op_list([])
-
-            operation = parts[0].lower()
-            handlers = {
-                "add": self._op_add,
-                "list": self._op_list,
-                "open": self._op_open,
-                "search": self._op_search,
-                "delete": self._op_delete,
-                "edit": self._op_edit,
-                "categories": self._op_categories,
-                "tags": self._op_tags,
-                "export": self._op_export,
-                "import": self._op_import,
-                "stats": self._op_stats,
-                "recent": self._op_recent,
-                "check": self._op_check,
-                "favicon": self._op_favicon,
-            }
-
-            handler = handlers.get(operation)
-            if not handler:
-                return f"错误：不支持的操作 '{operation}'"
-            return handler(parts[1:])
-
-        except Exception as e:
-            return f"书签管理错误: {str(e)}"
-
-    def _parse_args(self, args: str) -> List[str]:
-        parts, current, in_quotes, qc = [], "", False, None
-        for ch in args:
-            if ch in ('"', "'") and not in_quotes:
-                in_quotes, qc = True, ch
-            elif ch == qc and in_quotes:
-                in_quotes, qc = False, None
-            elif ch == ' ' and not in_quotes:
-                if current:
-                    parts.append(current)
-                    current = ""
-            else:
-                current += ch
-        if current:
-            parts.append(current)
-        return parts
-
-    def _op_add(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供 URL"
-        url = args[0]
-        name, category, tags, desc = "", "", [], ""
-
-        i = 1
-        while i < len(args):
-            if args[i] == "-n" and i + 1 < len(args):
-                name = args[i + 1]; i += 1
-            elif args[i] == "-c" and i + 1 < len(args):
-                category = args[i + 1]; i += 1
-            elif args[i] == "-t" and i + 1 < len(args):
-                tags = [t.strip() for t in args[i + 1].split(",") if t.strip()]; i += 1
-            elif args[i] == "-d" and i + 1 < len(args):
-                desc = args[i + 1]; i += 1
-            i += 1
-
-        if not name:
-            # 从 URL 推断名称
-            from urllib.parse import urlparse
-            parsed = urlparse(url if '://' in url else 'https://' + url)
-            name = parsed.netloc.replace('www.', '').split('.')[0].capitalize()
-            url = parsed.geturl()
-
-        # 检查重复
-        for b in self.bookmarks:
-            if b["url"] == url:
-                return f"错误：URL 已存在 (书签: {b['name']})"
-
-        bookmark = {
-            "id": self._gen_id(url),
-            "name": name,
-            "url": url,
-            "category": category,
-            "tags": tags,
-            "description": desc,
-            "created_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
-            "access_count": 0
-        }
-        self.bookmarks.append(bookmark)
-        err = self._save_bookmarks()
-        if err:
-            return err
-        return f"✅ 已添加书签 '{name}'\n   URL: {url}\n   分类: {category or '未分类'}"
-
-    def _op_list(self, args: List[str]) -> str:
-        cat_filter, tag_filter = None, None
-        i = 0
-        while i < len(args):
-            if args[i] == "-c" and i + 1 < len(args):
-                cat_filter = args[i + 1].lower(); i += 1
-            elif args[i] == "-t" and i + 1 < len(args):
-                tag_filter = args[i + 1].lower(); i += 1
-            i += 1
-
-        filtered = self.bookmarks
-        if cat_filter:
-            filtered = [b for b in filtered if b.get("category", "").lower() == cat_filter]
-        if tag_filter:
-            filtered = [b for b in filtered if any(tag_filter in t.lower() for t in b.get("tags", []))]
-
-        if not filtered:
-            return "📭 没有找到书签"
-
-        # 按分类分组
-        grouped = {}
-        for b in filtered:
-            cat = b.get("category", "未分类")
-            grouped.setdefault(cat, []).append(b)
-
-        result = f"\n  书签列表 (共 {len(filtered)} 个)\n"
-        result += "═" * 55 + "\n"
-
-        for cat, items in sorted(grouped.items()):
-            result += f"\n  {cat} ({len(items)} 个)\n"
-            result += "─" * 45 + "\n"
-            for b in items:
-                tags = ", ".join(b.get("tags", [])) if b.get("tags") else ""
-                result += f"  [{b['id']}] {b['name']}\n"
-                result += f"     {b['url']}\n"
-                if tags:
-                    result += f"    ️  {tags}\n"
-                if b.get("description"):
-                    result += f"    {b['description'][:50]}\n"
-                result += "\n"
-
-        return result.rstrip()
-
-    def _op_open(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供书签名称或 ID"
-        key = args[0]
-        bookmark = self._find_bookmark(key)
-        if not bookmark:
-            return f"❌ 未找到书签: {key}"
-
-        bookmark["access_count"] = bookmark.get("access_count", 0) + 1
-        self._save_bookmarks()
-
-        return (f"  {bookmark['name']}\n"
-                f"   URL: {bookmark['url']}\n"
-                f"   访问次数: {bookmark.get('access_count', 0)}")
-
-    def _op_search(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供搜索关键词"
-        keyword = " ".join(args).lower()
-
-        results = []
-        for b in self.bookmarks:
-            searchable = f"{b['name']} {b['url']} {b.get('description', '')} {' '.join(b.get('tags', []))} {b.get('category', '')}".lower()
-            if keyword in searchable:
-                results.append(b)
-
-        if not results:
-            return f" 未找到匹配 '{keyword}' 的书签"
-
-        output = f"  搜索结果 ({len(results)} 个):\n"
-        output += "─" * 50 + "\n"
-        for b in results:
-            output += f"  [{b['id']}] {b['name']} - {b['url']}\n"
-            if b.get("description"):
-                output += f"    {b['description'][:40]}\n"
-        return output.rstrip()
-
-    def _op_delete(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供书签名称或 ID"
-        key = args[0]
-        for i, b in enumerate(self.bookmarks):
-            if b["name"].lower() == key.lower() or b["id"] == key:
-                removed = self.bookmarks.pop(i)
-                self._save_bookmarks()
-                return f" ️  已删除书签: {removed['name']} ({removed['url']})"
-        return f"❌ 未找到书签: {key}"
-
-    def _op_edit(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供书签名称或 ID"
-        key = args[0]
-        bookmark = self._find_bookmark(key)
-        if not bookmark:
-            return f"❌ 未找到书签: {key}"
-
-        i = 1
-        while i < len(args):
-            if args[i] == "-n" and i + 1 < len(args):
-                bookmark["name"] = args[i + 1]; i += 1
-            elif args[i] == "-d" and i + 1 < len(args):
-                bookmark["description"] = args[i + 1]; i += 1
-            elif args[i] == "-c" and i + 1 < len(args):
-                bookmark["category"] = args[i + 1]; i += 1
-            elif args[i] == "-t" and i + 1 < len(args):
-                bookmark["tags"] = [t.strip() for t in args[i + 1].split(",") if t.strip()]; i += 1
-            i += 1
-
-        bookmark["updated_at"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-        self._save_bookmarks()
-        return f"✅ 已更新书签: {bookmark['name']}"
-
-    def _op_categories(self, args: List[str]) -> str:
-        cat_count = {}
-        for b in self.bookmarks:
-            cat = b.get("category", "未分类")
-            cat_count[cat] = cat_count.get(cat, 0) + 1
-
-        if not cat_count:
-            return "  暂无分类"
-
-        result = "  分类列表:\n"
-        for cat, count in sorted(cat_count.items(), key=lambda x: -x[1]):
-            bar = "█" * min(count, 20)
-            result += f"   {cat:15s} {bar} ({count})\n"
-        return result.rstrip()
-
-    def _op_tags(self, args: List[str]) -> str:
-        tag_count = {}
-        for b in self.bookmarks:
-            for t in b.get("tags", []):
-                tag_count[t] = tag_count.get(t, 0) + 1
-
-        if not tag_count:
-            return " ️  暂无标签"
-
-        result = " ️  标签列表:\n"
-        for tag, count in sorted(tag_count.items(), key=lambda x: -x[1]):
-            result += f"   {tag} ({count})\n"
-        return result.rstrip()
-
-    def _op_export(self, args: List[str]) -> str:
-        output_file = args[0] if args else "bookmarks_export.json"
-        try:
-            with open(output_file, 'w', encoding='utf-8') as f:
-                json.dump(self.bookmarks, f, ensure_ascii=False, indent=2)
-            return f"✅ 已导出 {len(self.bookmarks)} 个书签到: {output_file}"
-        except Exception as e:
-            return f"❌ 导出失败: {e}"
-
-    def _op_import(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供导入文件路径"
-        file_path = args[0]
-        if not os.path.isfile(file_path):
-            return f"❌ 文件不存在: {file_path}"
-        try:
-            with open(file_path, 'r', encoding='utf-8') as f:
-                imported = json.load(f)
-            if not isinstance(imported, list):
-                return "❌ 文件格式错误：需要 JSON 数组"
-
-            existing_urls = {b["url"] for b in self.bookmarks}
-            added = 0
-            for b in imported:
-                if isinstance(b, dict) and b.get("url") and b["url"] not in existing_urls:
-                    b["id"] = self._gen_id(b["url"])
-                    self.bookmarks.append(b)
-                    existing_urls.add(b["url"])
-                    added += 1
-
-            self._save_bookmarks()
-            return f"✅ 已导入 {added} 个书签 (跳过 {len(imported) - added} 个重复)"
-        except Exception as e:
-            return f"❌ 导入失败: {e}"
-
-    def _op_stats(self, args: List[str]) -> str:
-        total = len(self.bookmarks)
-        if not total:
-            return "📊 暂无书签"
-
-        cat_count = {}
-        total_access = 0
-        for b in self.bookmarks:
-            cat = b.get("category", "未分类")
-            cat_count[cat] = cat_count.get(cat, 0) + 1
-            total_access += b.get("access_count", 0)
-
-        most_accessed = max(self.bookmarks, key=lambda b: b.get("access_count", 0))
-
-        result = f"📊 书签统计\n"
-        result += "─" * 35 + "\n"
-        result += f"   总数: {total}\n"
-        result += f"   总访问: {total_access} 次\n"
-        result += f"   分类数: {len(cat_count)}\n"
-        result += f"   最常访问: {most_accessed['name']} ({most_accessed.get('access_count', 0)} 次)\n"
-        result += f"\n   分类分布:\n"
-        for cat, count in sorted(cat_count.items(), key=lambda x: -x[1]):
-            result += f"     {cat}: {count}\n"
-        return result.rstrip()
-
-    def _op_recent(self, args: List[str]) -> str:
-        count = 5
-        for i, a in enumerate(args):
-            if a == "-n" and i + 1 < len(args):
-                count = int(args[i + 1])
-
-        recent = sorted(self.bookmarks, key=lambda b: b.get("created_at", ""), reverse=True)[:count]
-        if not recent:
-            return "📭 暂无书签"
-
-        result = f"⏰ 最近 {len(recent)} 个书签:\n"
-        for b in recent:
-            result += f"  [{b['id']}] {b['name']} - {b.get('created_at', '')}\n"
-        return result.rstrip()
-
-    def _op_check(self, args: List[str]) -> str:
-        import socket
-        from urllib.parse import urlparse
-
-        bookmarks = self.bookmarks
-        if args:
-            # 检查指定书签
-            bookmark = self._find_bookmark(args[0])
-            if not bookmark:
-                return f"❌ 未找到书签: {args[0]}"
-            bookmarks = [bookmark]
-
-        result = f" ️  书签可访问性检查 ({len(bookmarks)} 个):\n"
-        result += "─" * 50 + "\n"
-
-        for b in bookmarks[:20]:
-            url = b["url"]
-            try:
-                parsed = urlparse(url)
-                host = parsed.netloc or parsed.path.split('/')[0]
-                socket.create_connection((host, 80), timeout=3)
-                result += f"   {b['name']} ({host})\n"
-            except (socket.timeout, socket.error, OSError):
-                result += f"   {b['name']} ({host}) - 不可达\n"
-
-        if len(bookmarks) > 20:
-            result += f"   ... 仅检查前 20 个\n"
-        return result.rstrip()
-
-    def _op_favicon(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供 URL"
-        url = args[0]
-        if '://' not in url:
-            url = 'https://' + url
-
-        from urllib.parse import urlparse
-        parsed = urlparse(url)
-        base = f"{parsed.scheme}://{parsed.netloc}"
-        favicon_url = f"{base}/favicon.ico"
-
-        return (f"  Favicon:\n"
-                f"   网站: {base}\n"
-                f"   Favicon: {favicon_url}\n"
-                f"   Google: https://www.google.com/s2/favicons?domain={parsed.netloc}&sz=64")
-
-    def _find_bookmark(self, key: str) -> Optional[dict]:
-        for b in self.bookmarks:
-            if b["name"].lower() == key.lower() or b["id"] == key:
-                return b
-        return None
-
-
-def test_plugin():
-    plugin = Liugin()
-    print("书签管理器测试:")
-    print(plugin.handle('add https://github.com -n GitHub -c 开发 -t 代码,托管 -d 代码托管平台'))
-    print(plugin.handle('add https://stackoverflow.com -n StackOverflow -c 学习 -t 问答,编程'))
-    print(plugin.handle('list'))
-    print(plugin.handle('search github'))
-
-
-if __name__ == "__main__":
-    test_plugin()

plugins/code_editor.py

@@ -1158,8 +1158,10 @@ else:
     def _op_diff(self, path: str, rest: str) -> str:
         if not path:
             return "错误：请提供第一个文件路径"
+        if not rest.strip():
+            return "错误：请提供第二个文件路径"
         f1 = self._norm(path)
-        f2 = self._norm(rest.split()[0] if rest.strip() else "")
+        f2 = self._norm(rest.split()[0])
         if not os.path.exists(f1):
             return f"错误：文件不存在: {f1}"
         if not os.path.exists(f2):

plugins/color_picker.py

@@ -1,459 +0,0 @@
-"""
-颜色工具插件 - 颜色格式转换、调色板、对比度检查
-支持 HEX/RGB/HSL/HSV/CMYK 格式互转，WCAG 对比度检查
-"""
-
-import re
-import colorsys
-from typing import List, Tuple
-
-
-class Liugin:
-    """颜色工具 - 格式转换、调色板、对比度检查"""
-
-    def __init__(self):
-        self.usage = """颜色工具
-
-操作:
-  convert <颜色>                  - 自动检测并转换为所有格式
-  hex <RGB或HSL>                  - 转换为 HEX
-  rgb <HEX或HSL>                  - 转换为 RGB
-  hsl <HEX或RGB>                  - 转换为 HSL
-  hsv <HEX或RGB>                  - 转换为 HSV
-  cmyk <HEX或RGB>                 - 转换为 CMYK
-  contrast <颜色1> <颜色2>        - WCAG 对比度检查
-  palette <颜色> [-n 数量]        - 生成调色板（明暗变体）
-  complementary <颜色>            - 互补色
-  analogous <颜色>                - 类似色
-  triadic <颜色>                  - 三色组
-  random [-n 数量]                - 随机颜色
-  mix <颜色1> <颜色2> [-w 权重]  - 混合两种颜色
-  blind <颜色> <类型>             - 色盲模拟
-  named                           - 列出 CSS 命名颜色
-
-颜色格式:
-  HEX: #FF6600, #F60, FF6600
-  RGB: rgb(255,102,0) 或 255,102,0
-  HSL: hsl(24,100%,50%)
-  HSV: hsv(24,100%,100%)
-  CMYK: cmyk(0,60,100,0)
-
-示例:
-  color_picker convert "#3498db"
-  color_picker rgb "hsl(207,62%,54%)"
-  color_picker contrast "#FFFFFF" "#000000"
-  color_picker palette "#e74c3c" -n 9
-  color_picker complementary "#3498db"
-"""
-        self.cli = None
-
-    def set_cli(self, cli):
-        self.cli = cli
-
-    def get_tool_info(self):
-        return {
-            "name": "color_picker",
-            "description": "颜色工具 - HEX/RGB/HSL/HSV/CMYK 转换、对比度检查、调色板生成",
-            "keywords": ["颜色", "color", "HEX", "RGB", "HSL", "调色板", "对比度", "色盲", "转换"],
-            "usage": self.usage
-        }
-
-    def get_mcp_definition(self):
-        return {
-            "name": "color_picker",
-            "description": "颜色工具，支持格式转换、对比度检查、调色板生成",
-            "inputSchema": {
-                "type": "object",
-                "properties": {
-                    "operation": {
-                        "type": "string",
-                        "enum": ["convert", "hex", "rgb", "hsl", "hsv", "cmyk",
-                                 "contrast", "palette", "complementary", "analogous",
-                                 "triadic", "random", "mix", "blind"],
-                        "description": "操作类型"
-                    },
-                    "color": {"type": "string", "description": "颜色值"},
-                    "color2": {"type": "string", "description": "第二个颜色值"},
-                    "count": {"type": "integer", "description": "数量"},
-                    "weight": {"type": "number", "description": "混合权重 (0-1)"},
-                    "blind_type": {"type": "string", "description": "色盲类型"}
-                },
-                "required": ["operation"]
-            }
-        }
-
-    def convert_mcp_args(self, arguments):
-        op = arguments.get("operation", "")
-        color = arguments.get("color", "")
-        return f"{op} {color}".strip()
-
-    def handle(self, args: str) -> str:
-        try:
-            parts = self._parse_args(args)
-            if not parts:
-                return self._op_random(["1"])
-
-            operation = parts[0].lower()
-            handlers = {
-                "convert": self._op_convert,
-                "hex": self._op_hex,
-                "rgb": self._op_rgb,
-                "hsl": self._op_hsl,
-                "hsv": self._op_hsv,
-                "cmyk": self._op_cmyk,
-                "contrast": self._op_contrast,
-                "palette": self._op_palette,
-                "complementary": self._op_complementary,
-                "analogous": self._op_analogous,
-                "triadic": self._op_triadic,
-                "random": self._op_random,
-                "mix": self._op_mix,
-                "blind": self._op_blind,
-            }
-
-            handler = handlers.get(operation)
-            if not handler:
-                return f"错误：不支持的操作 '{operation}'"
-            return handler(parts[1:])
-
-        except Exception as e:
-            return f"颜色工具错误: {str(e)}"
-
-    def _parse_args(self, args: str) -> List[str]:
-        parts, current, in_quotes, qc = [], "", False, None
-        for ch in args:
-            if ch in ('"', "'") and not in_quotes:
-                in_quotes, qc = True, ch
-            elif ch == qc and in_quotes:
-                in_quotes, qc = False, None
-            elif ch == ' ' and not in_quotes:
-                if current:
-                    parts.append(current)
-                    current = ""
-            else:
-                current += ch
-        if current:
-            parts.append(current)
-        return parts
-
-    def _parse_opts(self, args: List[str]) -> dict:
-        opts = {}
-        i = 0
-        while i < len(args):
-            if args[i].startswith("-") and i + 1 < len(args):
-                key = args[i].lstrip("-")
-                opts[key] = args[i + 1]
-                i += 1
-            i += 1
-        return opts
-
-    def _parse_color(self, color_str: str) -> Tuple[int, int, int]:
-        """解析颜色字符串为 RGB (0-255)"""
-        s = color_str.strip().lower()
-
-        # HEX
-        hex_match = re.match(r'^#?([0-9a-f]{3,8})$', s)
-        if hex_match:
-            h = hex_match.group(1)
-            if len(h) == 3:
-                h = h[0]*2 + h[1]*2 + h[2]*2
-            elif len(h) == 8:
-                h = h[:6]  # ignore alpha
-            if len(h) == 6:
-                return (int(h[0:2], 16), int(h[2:4], 16), int(h[4:6], 16))
-
-        # RGB
-        rgb_match = re.match(r'rgb\s*\(\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*\)', s)
-        if rgb_match:
-            return (int(rgb_match.group(1)), int(rgb_match.group(2)), int(rgb_match.group(3)))
-
-        # plain r,g,b
-        plain_match = re.match(r'^(\d+)\s*,\s*(\d+)\s*,\s*(\d+)$', s)
-        if plain_match:
-            return (int(plain_match.group(1)), int(plain_match.group(2)), int(plain_match.group(3)))
-
-        # HSL
-        hsl_match = re.match(r'hsl\s*\(\s*(\d+)\s*,\s*(\d+)%,\s*(\d+)%\s*\)', s)
-        if hsl_match:
-            h = int(hsl_match.group(1)) / 360
-            sl = int(hsl_match.group(2)) / 100
-            l = int(hsl_match.group(3)) / 100
-            r, g, b = colorsys.hls_to_rgb(h, l, sl)
-            return (int(r * 255), int(g * 255), int(b * 255))
-
-        # HSV/HSB
-        hsv_match = re.match(r'hsv\s*\(\s*(\d+)\s*,\s*(\d+)%,\s*(\d+)%\s*\)', s)
-        if hsv_match:
-            h = int(hsv_match.group(1)) / 360
-            sv = int(hsv_match.group(2)) / 100
-            v = int(hsv_match.group(3)) / 100
-            r, g, b = colorsys.hsv_to_rgb(h, sv, v)
-            return (int(r * 255), int(g * 255), int(b * 255))
-
-        # CMYK
-        cmyk_match = re.match(r'cmyk\s*\(\s*(\d+)%?\s*,\s*(\d+)%?\s*,\s*(\d+)%?\s*,\s*(\d+)%?\s*\)', s)
-        if cmyk_match:
-            c = int(cmyk_match.group(1)) / 100
-            m = int(cmyk_match.group(2)) / 100
-            y = int(cmyk_match.group(3)) / 100
-            k = int(cmyk_match.group(4)) / 100
-            r = int(255 * (1 - c) * (1 - k))
-            g = int(255 * (1 - m) * (1 - k))
-            b = int(255 * (1 - y) * (1 - k))
-            return (r, g, b)
-
-        raise ValueError(f"无法解析颜色: {color_str}")
-
-    def _rgb_to_hex(self, r: int, g: int, b: int) -> str:
-        return f"#{r:02X}{g:02X}{b:02X}"
-
-    def _rgb_to_hsl(self, r: int, g: int, b: int) -> Tuple[int, int, int]:
-        h, l, s = colorsys.rgb_to_hls(r / 255, g / 255, b / 255)
-        return (int(h * 360), int(s * 100), int(l * 100))
-
-    def _rgb_to_hsv(self, r: int, g: int, b: int) -> Tuple[int, int, int]:
-        h, s, v = colorsys.rgb_to_hsv(r / 255, g / 255, b / 255)
-        return (int(h * 360), int(s * 100), int(v * 100))
-
-    def _rgb_to_cmyk(self, r: int, g: int, b: int) -> Tuple[int, int, int, int]:
-        if r == g == b == 0:
-            return (0, 0, 0, 100)
-        c = 1 - r / 255
-        m = 1 - g / 255
-        y = 1 - b / 255
-        k = min(c, m, y)
-        c = int((c - k) / (1 - k) * 100)
-        m = int((m - k) / (1 - k) * 100)
-        y = int((y - k) / (1 - k) * 100)
-        k = int(k * 100)
-        return (c, m, y, k)
-
-    def _luminance(self, r: int, g: int, b: int) -> float:
-        """计算相对亮度 (WCAG 2.0)"""
-        def linearize(c):
-            c = c / 255
-            return c / 12.92 if c <= 0.03928 else ((c + 0.055) / 1.055) ** 2.4
-        return 0.2126 * linearize(r) + 0.7152 * linearize(g) + 0.0722 * linearize(b)
-
-    def _format_color_block(self, r: int, g: int, b: int) -> str:
-        """生成颜色预览块"""
-        return f"  ■  RGB({r}, {g}, {b})"
-
-    def _op_convert(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色值"
-        r, g, b = self._parse_color(args[0])
-        h, s, l = self._rgb_to_hsl(r, g, b)
-        hh, sv, vv = self._rgb_to_hsv(r, g, b)
-        c, m, y, k = self._rgb_to_cmyk(r, g, b)
-
-        result = f"  颜色转换: {args[0]}\n"
-        result += self._format_color_block(r, g, b) + "\n"
-        result += "─" * 35 + "\n"
-        result += f"   HEX:  {self._rgb_to_hex(r, g, b)}\n"
-        result += f"   RGB:  rgb({r}, {g}, {b})\n"
-        result += f"   HSL:  hsl({h}, {s}%, {l}%)\n"
-        result += f"   HSV:  hsv({hh}, {sv}%, {vv}%)\n"
-        result += f"   CMYK: cmyk({c}%, {m}%, {y}%, {k}%)\n"
-        return result.rstrip()
-
-    def _op_hex(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色值"
-        r, g, b = self._parse_color(args[0])
-        return f"  HEX: {self._rgb_to_hex(r, g, b)}"
-
-    def _op_rgb(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色值"
-        r, g, b = self._parse_color(args[0])
-        return f"  RGB: rgb({r}, {g}, {b})"
-
-    def _op_hsl(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色值"
-        r, g, b = self._parse_color(args[0])
-        h, s, l = self._rgb_to_hsl(r, g, b)
-        return f"  HSL: hsl({h}, {s}%, {l}%)"
-
-    def _op_hsv(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色值"
-        r, g, b = self._parse_color(args[0])
-        h, s, v = self._rgb_to_hsv(r, g, b)
-        return f"  HSV: hsv({h}, {s}%, {v}%)"
-
-    def _op_cmyk(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色值"
-        r, g, b = self._parse_color(args[0])
-        c, m, y, k = self._rgb_to_cmyk(r, g, b)
-        return f"  CMYK: cmyk({c}%, {m}%, {y}%, {k}%)"
-
-    def _op_contrast(self, args: List[str]) -> str:
-        if len(args) < 2:
-            return "错误：请提供两种颜色"
-        r1, g1, b1 = self._parse_color(args[0])
-        r2, g2, b2 = self._parse_color(args[1])
-
-        l1 = self._luminance(r1, g1, b1)
-        l2 = self._luminance(r2, g2, b2)
-        lighter = max(l1, l2)
-        darker = min(l1, l2)
-        ratio = (lighter + 0.05) / (darker + 0.05)
-
-        aa_large = ratio >= 3
-        aa_normal = ratio >= 4.5
-        aaa_large = ratio >= 4.5
-        aaa_normal = ratio >= 7
-
-        result = f"  WCAG 对比度检查\n"
-        result += "─" * 40 + "\n"
-        result += f"   颜色1: {self._rgb_to_hex(r1, g1, b1)} {self._format_color_block(r1, g1, b1)}\n"
-        result += f"   颜色2: {self._rgb_to_hex(r2, g2, b2)} {self._format_color_block(r2, g2, b1)}\n"
-        result += f"   对比度: {ratio:.2f}:1\n"
-        result += "─" * 40 + "\n"
-        result += f"   {'  ' if aa_normal else '❌'} AA 正文 (≥4.5:1)\n"
-        result += f"   {'  ' if aa_large else '❌'} AA 大字 (≥3:1)\n"
-        result += f"   {'  ' if aaa_normal else '❌'} AAA 正文 (≥7:1)\n"
-        result += f"   {'  ' if aaa_large else '❌'} AAA 大字 (≥4.5:1)\n"
-        return result.rstrip()
-
-    def _op_palette(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供基础颜色"
-        r, g, b = self._parse_color(args[0])
-        opts = self._parse_opts(args[1:])
-        count = int(opts.get("n", 9))
-        count = max(3, min(count, 15))
-
-        h, l, s = colorsys.rgb_to_hls(r / 255, g / 255, b / 255)
-
-        result = f"  调色板 (基于 {args[0]}):\n"
-        result += "─" * 50 + "\n"
-
-        steps = count
-        for i in range(steps):
-            # 从暗到亮
-            new_l = 0.1 + (0.8 * i / (steps - 1))
-            nr, ng, nb = colorsys.hls_to_rgb(h, new_l, s)
-            nr, ng, nb = int(nr * 255), int(ng * 255), int(nb * 255)
-            hex_val = self._rgb_to_hex(nr, ng, nb)
-            bar = "█" * int(new_l * 20)
-            result += f"   {hex_val}  {bar}  L:{int(new_l*100)}%\n"
-
-        return result.rstrip()
-
-    def _op_complementary(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色"
-        r, g, b = self._parse_color(args[0])
-        h, l, s = colorsys.rgb_to_hls(r / 255, g / 255, b / 255)
-        # 互补色: 色相旋转180°
-        comp_h = (h + 0.5) % 1.0
-        cr, cg, cb = colorsys.hls_to_rgb(comp_h, l, s)
-        cr, cg, cb = int(cr * 255), int(cg * 255), int(cb * 255)
-
-        result = f"  互补色:\n"
-        result += f"   原色: {self._rgb_to_hex(r, g, b)}\n"
-        result += f"   互补: {self._rgb_to_hex(cr, cg, cb)}\n"
-        return result
-
-    def _op_analogous(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色"
-        r, g, b = self._parse_color(args[0])
-        h, l, s = colorsys.rgb_to_hls(r / 255, g / 255, b / 255)
-
-        result = f"  类似色:\n"
-        for offset in [-30, -15, 0, 15, 30]:
-            ah = (h + offset / 360) % 1.0
-            ar, ag, ab = colorsys.hls_to_rgb(ah, l, s)
-            ar, ag, ab = int(ar * 255), int(ag * 255), int(ab * 255)
-            marker = " ◀" if offset == 0 else ""
-            result += f"   {self._rgb_to_hex(ar, ag, ab)} ({offset:+d}°){marker}\n"
-        return result.rstrip()
-
-    def _op_triadic(self, args: List[str]) -> str:
-        if not args:
-            return "错误：请提供颜色"
-        r, g, b = self._parse_color(args[0])
-        h, l, s = colorsys.rgb_to_hls(r / 255, g / 255, b / 255)
-
-        result = f"  三色组:\n"
-        for i, offset in enumerate([0, 120, 240]):
-            th = (h + offset / 360) % 1.0
-            tr, tg, tb = colorsys.hls_to_rgb(th, l, s)
-            tr, tg, tb = int(tr * 255), int(tg * 255), int(tb * 255)
-            result += f"   {i+1}. {self._rgb_to_hex(tr, tg, tb)} ({offset}°)\n"
-        return result.rstrip()
-
-    def _op_random(self, args: List[str]) -> str:
-        opts = self._parse_opts(args)
-        count = int(opts.get("n", 5))
-        count = min(count, 20)
-
-        result = f"  随机颜色 ({count} 个):\n"
-        for _ in range(count):
-            r, g, b = __import__('random').randint(0, 255), __import__('random').randint(0, 255), __import__('random').randint(0, 255)
-            result += f"   {self._rgb_to_hex(r, g, b)}  rgb({r}, {g}, {b})\n"
-        return result.rstrip()
-
-    def _op_mix(self, args: List[str]) -> str:
-        if len(args) < 2:
-            return "错误：请提供两种颜色"
-        r1, g1, b1 = self._parse_color(args[0])
-        r2, g2, b2 = self._parse_color(args[1])
-        opts = self._parse_opts(args[2:])
-        w = float(opts.get("w", 0.5))
-        w = max(0, min(1, w))
-
-        mr = int(r1 * (1 - w) + r2 * w)
-        mg = int(g1 * (1 - w) + g2 * w)
-        mb = int(b1 * (1 - w) + b2 * w)
-
-        result = f"  颜色混合 (权重 {w}):\n"
-        result += f"   颜色1: {self._rgb_to_hex(r1, g1, b1)}\n"
-        result += f"   颜色2: {self._rgb_to_hex(r2, g2, b2)}\n"
-        result += f"   混合:  {self._rgb_to_hex(mr, mg, mb)}\n"
-        return result
-
-    def _op_blind(self, args: List[str]) -> str:
-        if len(args) < 2:
-            return "错误：请提供颜色和色盲类型\n类型: protanopia, deuteranopia, tritanopia"
-        r, g, b = self._parse_color(args[0])
-        blind_type = args[1].lower()
-
-        # 简化的色盲模拟矩阵
-        matrices = {
-            "protanopia":    [[0.567, 0.433, 0.0], [0.558, 0.442, 0.0], [0.0, 0.242, 0.758]],
-            "deuteranopia":  [[0.625, 0.375, 0.0], [0.7, 0.3, 0.0], [0.0, 0.3, 0.7]],
-            "tritanopia":    [[0.95, 0.05, 0.0], [0.0, 0.433, 0.567], [0.0, 0.475, 0.525]],
-        }
-
-        matrix = matrices.get(blind_type)
-        if not matrix:
-            return f"错误：未知类型 '{blind_type}'\n支持: protanopia, deuteranopia, tritanopia"
-
-        nr = int(matrix[0][0] * r + matrix[0][1] * g + matrix[0][2] * b)
-        ng = int(matrix[1][0] * r + matrix[1][1] * g + matrix[1][2] * b)
-        nb = int(matrix[2][0] * r + matrix[2][1] * g + matrix[2][2] * b)
-        nr, ng, nb = max(0, min(255, nr)), max(0, min(255, ng)), max(0, min(255, nb))
-
-        result = f"  色盲模拟 ({blind_type}):\n"
-        result += f"   原色: {self._rgb_to_hex(r, g, b)}\n"
-        result += f"   模拟: {self._rgb_to_hex(nr, ng, nb)}\n"
-        return result
-
-
-def test_plugin():
-    plugin = Liugin()
-    print("颜色工具测试:")
-    print(plugin.handle('convert "#3498db"'))
-    print(plugin.handle('contrast "#FFFFFF" "#000000"'))
-    print(plugin.handle('palette "#e74c3c" -n 7'))
-    print(plugin.handle('complementary "#3498db"'))
-
-
-if __name__ == "__main__":
-    test_plugin()

plugins/compile_check.py

@@ -0,0 +1,568 @@
+"""
+编译验证插件 - 批量语法/编译检查
+对项目内 Python 文件做 ast.parse + py_compile 双重验证，
+支持按目录、单文件或全项目扫描，并发执行加速。
+"""
+import os
+import sys
+import ast
+import time
+import shutil
+import py_compile
+import concurrent.futures
+from pathlib import Path
+from typing import List, Tuple, Optional
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from xcli_core.tool_result import ToolResult, ErrorCode
+
+try:
+    from colorama import Fore, Style, init as _colorama_init
+    _colorama_init(autoreset=False)
+    _HAS_COLOR = True
+except Exception:
+    _HAS_COLOR = False
+
+    class _Stub:
+        def __getattr__(self, _): return ""
+    Fore = Style = _Stub()
+
+PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+
+SKIP_DIRS = {
+    "__pycache__", ".git", ".venv", "venv", "env", ".env",
+    "node_modules", ".idea", ".vscode", "dist", "build",
+    ".mypy_cache", ".pytest_cache", ".ruff_cache", "site-packages",
+}
+
+SKIP_FILES = {
+    "setup.py",
+}
+
+
+class Liugin:
+    """编译验证 - 批量语法检查 / 编译验证 / 清理 __pycache__"""
+
+    def __init__(self):
+        self.usage = """编译验证工具
+
+操作:
+  all                          - 验证项目内全部 Python 文件
+  core                         - 仅验证 xcli_core/ 目录
+  engines                      - 仅验证 ai_engines/ 目录
+  plugins                      - 仅验证 plugins/ 目录
+  dir <目录>                   - 验证指定目录
+  check <文件>                 - 验证单个文件 (可多次指定)
+  clean [目录]                 - 清理 __pycache__ (默认项目根)
+  stats                        - 统计各目录 Python 文件数量
+
+选项:
+  -v / --verbose               - 显示每个文件的结果
+  -j / --jobs <N>              - 并发线程数 (默认 8)
+  -q / --quiet                 - 仅在结束时打印汇总
+
+输出:
+  ✅ 绿色 = 通过
+  ❌ 红色 = 失败
+  汇总: 总数/通过/失败 + 失败文件详情
+
+示例:
+  check all -v
+  check core
+  check plugins/compile_check.py
+  check dir ai_engines -j 16
+  check clean
+"""
+        self.cli = None
+
+    def set_cli(self, cli):
+        self.cli = cli
+
+    def get_tool_info(self):
+        return {
+            "name": "compile_check",
+            "description": "编译验证工具 — 批量语法/编译检查(ast.parse + py_compile)，支持目录、单文件、全项目扫描，并发加速，清理 __pycache__",
+            "keywords": ["编译", "验证", "语法", "检查", "compile", "syntax",
+                         "check", "lint", "py_compile", "ast", "批量",
+                         "validate", "verify", "clean", "pycache"],
+            "usage": self.usage,
+        }
+
+    def get_mcp_definition(self):
+        return {
+            "name": "compile_check",
+            "description": "编译验证工具",
+            "inputSchema": {
+                "type": "object",
+                "properties": {
+                    "operation": {
+                        "type": "string",
+                        "enum": ["all", "core", "engines", "plugins",
+                                 "dir", "check", "clean", "stats"],
+                        "description": "操作类型"
+                    },
+                    "path": {"type": "string",
+                             "description": "目录或文件路径"},
+                    "paths": {"type": "array",
+                              "items": {"type": "string"},
+                              "description": "多文件路径列表"},
+                    "verbose": {"type": "boolean", "default": False},
+                    "jobs": {"type": "integer", "default": 8},
+                    "quiet": {"type": "boolean", "default": False},
+                },
+                "required": ["operation"]
+            }
+        }
+
+    def convert_mcp_args(self, arguments):
+        op = arguments.get("operation", "")
+        path = arguments.get("path", "")
+        return f"{op} {path}".strip()
+
+    def handle(self, args: str):
+        try:
+            parts = self._parse_args(args)
+            if not parts:
+                return self._print_usage()
+
+            operation = parts[0].lower()
+            opts = self._extract_options(parts[1:])
+
+            if operation in ("help", "-h", "--help"):
+                return self._print_usage()
+
+            routes = {
+                "all": self._op_all,
+                "core": self._op_core,
+                "engines": self._op_engines,
+                "plugins": self._op_plugins,
+                "dir": self._op_dir,
+                "check": self._op_check,
+                "clean": self._op_clean,
+                "stats": self._op_stats,
+            }
+            handler = routes.get(operation)
+            if not handler:
+                return ToolResult.fail(
+                    f"不支持的操作 '{operation}'",
+                    ErrorCode.UNSUPPORTED_OP,
+                    tool_name="compile_check",
+                )
+            return handler(opts)
+
+        except Exception as e:
+            return ToolResult.fail(
+                f"编译验证错误: {e}",
+                ErrorCode.EXEC_FAILED,
+                tool_name="compile_check",
+            )
+
+    def _print_usage(self):
+        self._emit(self.usage)
+        return ToolResult.ok("usage_printed", tool_name="compile_check")
+
+    def _out(self, msg: str):
+        """统一输出，适配 TUI/CLI"""
+        if self.cli is not None and hasattr(self.cli, "_output"):
+            self.cli._output(msg)
+        else:
+            print(msg)
+
+    def _emit(self, msg: str, end: str = "\n"):
+        """统一输出，自动适配 TUI/CLI
+
+        - TUI 模式: 一行一行输出到 _output，忽略 end（TUI 有自己的状态指示器）
+        - CLI 模式: 尊重 end，支持 end="" 的进度条刷新
+        - TUI 模式下 end != "\\n" 的进度条输出直接跳过（避免污染对话区）
+        """
+        if self.cli is not None and hasattr(self.cli, "_output"):
+            if end != "\n":
+                return  # TUI 模式跳过进度条类输出
+            self.cli._output(msg)
+        else:
+            print(msg, end=end)
+
+    def _ok(self, msg: str) -> str:
+        return f"{Fore.GREEN}{msg}{Style.RESET_ALL}"
+
+    def _err(self, msg: str) -> str:
+        return f"{Fore.RED}{msg}{Style.RESET_ALL}"
+
+    def _warn(self, msg: str) -> str:
+        return f"{Fore.YELLOW}{msg}{Style.RESET_ALL}"
+
+    def _dim(self, msg: str) -> str:
+        return f"{Fore.CYAN}{msg}{Style.RESET_ALL}"
+
+    def _banner(self, title: str) -> str:
+        bar = "═" * max(20, len(title) + 4)
+        return f"{Fore.CYAN}{bar}\n  {title}\n{bar}{Style.RESET_ALL}"
+
+    def _parse_args(self, args: str) -> List[str]:
+        parts, current, in_quotes, qc = [], "", False, None
+        for ch in args:
+            if ch in ('"', "'") and not in_quotes:
+                in_quotes, qc = True, ch
+            elif ch == qc and in_quotes:
+                in_quotes, qc = False, None
+            elif ch == " " and not in_quotes:
+                if current:
+                    parts.append(current)
+                    current = ""
+            else:
+                current += ch
+        if current:
+            parts.append(current)
+        return parts
+
+    def _extract_options(self, args: List[str]) -> dict:
+        opts = {
+            "positional": [],
+            "verbose": False,
+            "quiet": False,
+            "jobs": 8,
+        }
+        i = 0
+        while i < len(args):
+            a = args[i]
+            if a in ("-v", "--verbose"):
+                opts["verbose"] = True
+            elif a in ("-q", "--quiet"):
+                opts["quiet"] = True
+            elif a in ("-j", "--jobs") and i + 1 < len(args):
+                try:
+                    opts["jobs"] = max(1, int(args[i + 1]))
+                except ValueError:
+                    pass
+                i += 1
+            elif not a.startswith("-"):
+                opts["positional"].append(a)
+            i += 1
+        return opts
+
+    def _collect_py_files(self, root: str) -> List[str]:
+        root = os.path.abspath(root)
+        if not os.path.isdir(root):
+            return []
+        result: List[str] = []
+        for dirpath, dirnames, filenames in os.walk(root):
+            dirnames[:] = [d for d in dirnames if d not in SKIP_DIRS]
+            for fn in filenames:
+                if not fn.endswith(".py"):
+                    continue
+                if fn in SKIP_FILES:
+                    continue
+                result.append(os.path.join(dirpath, fn))
+        result.sort()
+        return result
+
+    def _verify_one(self, filepath: str) -> Tuple[str, bool, str]:
+        try:
+            with open(filepath, "r", encoding="utf-8") as f:
+                src = f.read()
+        except UnicodeDecodeError:
+            try:
+                with open(filepath, "r", encoding="gbk") as f:
+                    src = f.read()
+            except Exception as e:
+                return filepath, False, f"读取失败: {e}"
+        except Exception as e:
+            return filepath, False, f"读取失败: {e}"
+
+        try:
+            ast.parse(src, filename=filepath)
+        except SyntaxError as e:
+            line = getattr(e, "lineno", "?")
+            col = getattr(e, "offset", "?")
+            msg = getattr(e, "msg", str(e))
+            return filepath, False, f"SyntaxError 第{line}行第{col}列: {msg}"
+
+        try:
+            py_compile.compile(filepath, doraise=True, quiet=2)
+        except py_compile.PyCompileError as e:
+            return filepath, False, f"PyCompileError: {e.msg if hasattr(e, 'msg') else e}"
+        except Exception as e:
+            return filepath, False, f"编译失败: {e}"
+
+        return filepath, True, ""
+
+    def _run_batch(
+        self,
+        files: List[str],
+        title: str,
+        verbose: bool = False,
+        quiet: bool = False,
+        jobs: int = 8,
+    ) -> Tuple[int, int, List[Tuple[str, str]]]:
+        total = len(files)
+        if total == 0:
+            self._emit(self._warn(f"{title}: 没有可验证的 Python 文件"))
+            return 0, 0, []
+
+        if not quiet:
+            self._emit(self._banner(f"{title}  ({total} 个文件, {jobs} 线程)"))
+            self._emit("")
+
+        passed = 0
+        failed: List[Tuple[str, str]] = []
+        start = time.time()
+
+        results: List[Tuple[str, bool, str]] = []
+        if jobs == 1:
+            for f in files:
+                results.append(self._verify_one(f))
+        else:
+            with concurrent.futures.ThreadPoolExecutor(max_workers=jobs) as ex:
+                futures = {ex.submit(self._verify_one, f): f for f in files}
+                done = 0
+                for fut in concurrent.futures.as_completed(futures):
+                    results.append(fut.result())
+                    done += 1
+                    if not quiet and not verbose and total > 0:
+                        pct = done * 100 // total
+                        rel = os.path.relpath(futures[fut], PROJECT_ROOT)
+                        self._emit(f"\r  进度: [{done}/{total}] {pct:3d}%  {rel[:40]:<40}", end="")
+                if not quiet and not verbose:
+                    self._emit("")
+
+        results.sort(key=lambda x: x[0])
+
+        if verbose and not quiet:
+            self._emit("")
+
+        for filepath, ok, err in results:
+            rel = os.path.relpath(filepath, PROJECT_ROOT)
+            if ok:
+                passed += 1
+                if verbose and not quiet:
+                    self._emit(f"  {self._ok('✓')} {rel}")
+            else:
+                failed.append((rel, err))
+                if not quiet:
+                    self._emit(f"  {self._err('✗')} {rel}")
+                    self._emit(f"      {self._err(err)}")
+
+        elapsed = time.time() - start
+
+        self._emit("")
+        self._emit("─" * 60)
+        if failed:
+            self._emit(f"  {self._err('✗ 失败:')} {len(failed)}/{total}")
+            self._emit(f"  {self._ok('✓ 通过:')} {passed}/{total}")
+            self._emit(f"  {self._dim(f'耗时: {elapsed:.2f}s')}")
+            self._emit("")
+            self._emit(self._err("失败列表:"))
+            for rel, err in failed:
+                self._emit(f"  • {self._err(rel)}")
+                first_line = err.split("\n")[0][:120]
+                self._emit(f"      {first_line}")
+        else:
+            self._emit(f"  {self._ok(f'✓ 全部通过:')} {passed}/{total} 个文件")
+            self._emit(f"  {self._dim(f'耗时: {elapsed:.2f}s')}")
+        self._emit("─" * 60)
+
+        return passed, len(failed), failed
+
+    def _op_all(self, opts: dict):
+        files = self._collect_py_files(PROJECT_ROOT)
+        passed, failed, _ = self._run_batch(
+            files,
+            "全项目编译验证",
+            verbose=opts["verbose"],
+            quiet=opts["quiet"],
+            jobs=opts["jobs"],
+        )
+        if failed == 0:
+            return ToolResult.ok(
+                f"全部通过 ({passed}/{passed})",
+                tool_name="compile_check",
+            )
+        return ToolResult.fail(
+            f"有 {failed} 个文件编译失败",
+            ErrorCode.EXEC_FAILED,
+            tool_name="compile_check",
+        )
+
+    def _op_core(self, opts: dict):
+        return self._scan_subdir("xcli_core", "xcli_core 编译验证", opts)
+
+    def _op_engines(self, opts: dict):
+        return self._scan_subdir("ai_engines", "ai_engines 编译验证", opts)
+
+    def _op_plugins(self, opts: dict):
+        return self._scan_subdir("plugins", "plugins 编译验证", opts)
+
+    def _scan_subdir(self, sub: str, title: str, opts: dict):
+        target = os.path.join(PROJECT_ROOT, sub)
+        if not os.path.isdir(target):
+            return ToolResult.not_found(f"目录: {sub}", tool_name="compile_check")
+        files = self._collect_py_files(target)
+        passed, failed, _ = self._run_batch(
+            files, title,
+            verbose=opts["verbose"],
+            quiet=opts["quiet"],
+            jobs=opts["jobs"],
+        )
+        if failed == 0:
+            return ToolResult.ok(
+                f"{sub} 全部通过 ({passed})",
+                tool_name="compile_check",
+            )
+        return ToolResult.fail(
+            f"{sub} 有 {failed} 个文件编译失败",
+            ErrorCode.EXEC_FAILED,
+            tool_name="compile_check",
+        )
+
+    def _op_dir(self, opts: dict):
+        if not opts["positional"]:
+            return ToolResult.missing("目录路径", tool_name="compile_check")
+        target = os.path.abspath(opts["positional"][0])
+        if not os.path.isdir(target):
+            return ToolResult.not_found(f"目录: {target}", tool_name="compile_check")
+        files = self._collect_py_files(target)
+        passed, failed, _ = self._run_batch(
+            files,
+            f"目录验证: {os.path.relpath(target, PROJECT_ROOT)}",
+            verbose=opts["verbose"],
+            quiet=opts["quiet"],
+            jobs=opts["jobs"],
+        )
+        if failed == 0:
+            return ToolResult.ok(
+                f"目录全部通过 ({passed})",
+                tool_name="compile_check",
+            )
+        return ToolResult.fail(
+            f"目录有 {failed} 个文件编译失败",
+            ErrorCode.EXEC_FAILED,
+            tool_name="compile_check",
+        )
+
+    def _op_check(self, opts: dict):
+        if not opts["positional"]:
+            return ToolResult.missing("文件路径", tool_name="compile_check")
+
+        targets = []
+        for p in opts["positional"]:
+            fp = os.path.abspath(p)
+            if not os.path.isfile(fp):
+                return ToolResult.not_found(
+                    f"文件: {p}", tool_name="compile_check",
+                )
+            targets.append(fp)
+
+        if len(targets) == 1:
+            self._emit(self._banner(
+                f"单文件验证: {os.path.relpath(targets[0], PROJECT_ROOT)}"
+            ))
+            filepath, ok, err = self._verify_one(targets[0])
+            rel = os.path.relpath(filepath, PROJECT_ROOT)
+            self._emit("")
+            if ok:
+                self._emit(f"  {self._ok('✓ 通过')} {rel}")
+                self._emit("─" * 60)
+                return ToolResult.ok(f"通过: {rel}", tool_name="compile_check")
+            else:
+                self._emit(f"  {self._err('✗ 失败')} {rel}")
+                self._emit(f"      {self._err(err)}")
+                self._emit("─" * 60)
+                return ToolResult.fail(
+                    f"编译失败: {rel}",
+                    ErrorCode.EXEC_FAILED,
+                    tool_name="compile_check",
+                )
+
+        passed, failed, _ = self._run_batch(
+            targets,
+            f"批量验证 ({len(targets)} 个文件)",
+            verbose=opts["verbose"],
+            quiet=opts["quiet"],
+            jobs=opts["jobs"],
+        )
+        if failed == 0:
+            return ToolResult.ok(
+                f"全部通过 ({passed})",
+                tool_name="compile_check",
+            )
+        return ToolResult.fail(
+            f"有 {failed} 个文件编译失败",
+            ErrorCode.EXEC_FAILED,
+            tool_name="compile_check",
+        )
+
+    def _op_clean(self, opts: dict):
+        target = PROJECT_ROOT
+        if opts["positional"]:
+            target = os.path.abspath(opts["positional"][0])
+        if not os.path.isdir(target):
+            return ToolResult.not_found(
+                f"目录: {target}", tool_name="compile_check",
+            )
+
+        self._emit(self._banner(f"清理 __pycache__: {os.path.relpath(target, PROJECT_ROOT)}"))
+        removed = 0
+        for dirpath, dirnames, _ in os.walk(target):
+            for d in list(dirnames):
+                if d == "__pycache__":
+                    full = os.path.join(dirpath, d)
+                    try:
+                        shutil.rmtree(full)
+                        removed += 1
+                        rel = os.path.relpath(full, PROJECT_ROOT)
+                        if not opts["quiet"]:
+                            self._emit(f"  {self._ok('✓ 已删除')} {rel}")
+                    except Exception as e:
+                        rel = os.path.relpath(full, PROJECT_ROOT)
+                        self._emit(f"  {self._err('✗ 失败')} {rel}: {e}")
+        self._emit("")
+        self._emit("─" * 60)
+        if removed:
+            self._emit(f"  {self._ok(f'✓ 已清理')} {removed} 个 __pycache__")
+        else:
+            self._emit(f"  {self._dim('没有可清理的 __pycache__')}")
+        self._emit("─" * 60)
+
+        return ToolResult.ok(
+            f"清理完成 ({removed} 个目录)",
+            tool_name="compile_check",
+        )
+
+    def _op_stats(self, opts: dict):
+        self._emit(self._banner("项目 Python 文件统计"))
+
+        subdirs = [
+            ("xcli_core", "xcli_core"),
+            ("ai_engines", "ai_engines"),
+            ("plugins", "plugins"),
+        ]
+
+        total = 0
+        rows: List[Tuple[str, int]] = []
+        for sub, label in subdirs:
+            target = os.path.join(PROJECT_ROOT, sub)
+            if os.path.isdir(target):
+                count = len(self._collect_py_files(target))
+                rows.append((label, count))
+                total += count
+
+        other = len(self._collect_py_files(PROJECT_ROOT)) - total
+        rows.append(("其他(根目录等)", other))
+        total += other
+
+        self._emit("")
+        self._emit(f"  {'目录':<20} {'文件数':>8}")
+        self._emit("  " + "─" * 30)
+        for label, count in rows:
+            bar = "█" * min(count, 40) if count else ""
+            color = Fore.GREEN if count else Fore.CYAN
+            self._emit(f"  {label:<20} {count:>8}  {color}{bar}{Style.RESET_ALL}")
+        self._emit("  " + "─" * 30)
+        self._emit(f"  {'合计':<20} {total:>8}")
+        self._emit("")
+        self._emit("─" * 60)
+
+        return ToolResult.ok(
+            f"统计完成 (共 {total} 个文件)",
+            tool_name="compile_check",
+        )

plugins/frontend_tester.py

@@ -4,6 +4,7 @@
 """
 
 import os
+import re
 import subprocess
 from colorama import Fore, Style
 
@@ -317,7 +318,7 @@ JSON格式示例：
                     "message": "使用了var声明，建议使用let或const"
                 })
 
-            if '==' in content and '!==' not in content:
+            if re.search(r'(?<![=!])==(?!=)', content):
                 issues.append({
                     "level": "warning",
                     "message": "使用了==比较，建议使用===严格相等"

plugins/git_tools.py

@@ -354,7 +354,7 @@ class Liugin:
 
     def _auto_commit_message(self, status: str) -> str:
         lines = status.strip().split('\n')
-        added = len([l for l in lines if l.startswith('A ') or l.startswith('A') and l[1] == ' '])
+        added = len([l for l in lines if l.startswith('A ') or (len(l) > 1 and l.startswith('A') and l[1] == ' ')])
         modified = len([l for l in lines if l.startswith('M ') or (len(l) > 1 and l[1] == 'M')])
         deleted = len([l for l in lines if l.startswith('D ') or (len(l) > 1 and l[1] == 'D')])
 

plugins/gui_auto.py

@@ -324,7 +324,7 @@ class Liugin:
             lines.append(f"{indent}{prefix}{type_part} {name_part}{id_part}{bounds_part}{state_str}")
 
             children = element.FindAll(
-                self._uia.CreatePropertyCondition(30000, 0),  # TreeScope_Children
+                2,  # TreeScope_Children
                 self._uia.CreateTrueCondition()
             )
             if children:
@@ -570,7 +570,7 @@ class Liugin:
 
         try:
             children = self._root.FindAll(
-                self._uia.CreatePropertyCondition(30000, 2),
+                2,  # TreeScope_Children
                 self._uia.CreateTrueCondition()
             )
 

plugins/id_generator.py

@@ -355,7 +355,7 @@ class Liugin:
         if output:
             # 提取纯ID保存到文件
             ids = [line.strip().lstrip(' ') for line in result.split('\n')
-                   if line.strip() and not any(c in line for c in [' ', '️', '', '❄️', ''])]
+                   if line.strip() and not any(c in line for c in [' ', '️', '❄️'])]
             try:
                 with open(output, 'w', encoding='utf-8') as f:
                     f.write('\n'.join(ids))

plugins/image_generator.py

@@ -1,370 +0,0 @@
-"""
-图像生成插件 - 基于 ai.2x.nz 的 ComfyUI 在线服务
-支持自然语言描述和英文 Tag 两种模式
-"""
-import os
-import json
-import asyncio
-import urllib.request
-import time
-from typing import Optional
-
-
-class Liugin:
-    """图像生成工具 — 自然语言/Tag 生图，基于 ComfyUI 在线服务"""
-
-    def __init__(self):
-        self.usage = """图像生成工具 — 基于 ai.2x.nz 的 ComfyUI 在线服务
-
-操作:
-  generate <描述>                 - 自然语言描述生成图片（中文/英文均可）
-  tag <英文tags>                  - 直接 Tag 模式（逗号分隔的英文标签）
-  list                            - 列出可用的工作流/角色
-  status                          - 查看 GPU 状态
-
-示例:
-  image_generator generate 一个白发蓝眼的猫耳少女在写代码
-  image_generator tag masterpiece, 1girl, white hair, blue eyes, cat ears, coding
-  image_generator generate 画一个赛博朋克风格的城市夜景 --width 1024 --height 768
-
-说明:
-  - 自然语言模式会经过 LLM 翻译为 Tag，效果更好
-  - 直接 Tag 模式适合熟悉 Danbooru 标签的用户
-  - 默认分辨率 1024x1344（WAI 推荐）
-  - 最大分辨率 1344x1344
-  - 生成的图片保存在 screenshots/ 目录
-"""
-        self.cli = None
-        self.api_base = "https://ai.2x.nz"
-        self.ws_url = "wss://ai.2x.nz/ws/run"
-        self.default_workflow = "WAI - 无Lora.json"
-        self.output_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "screenshots")
-
-    def set_cli(self, cli):
-        self.cli = cli
-
-    def get_tool_info(self):
-        return {
-            "name": "image_generator",
-            "description": "图像生成 — 自然语言/Tag 生图，基于 ComfyUI 在线服务（ai.2x.nz），支持中文描述",
-            "keywords": ["图像", "生成", "画图", "绘图", "AI画", "生图", "image", "generate", "draw", "paint",
-                         "diffusion", "comfyui", "stable", "sd", "文生图", "text2img"],
-            "usage": self.usage
-        }
-
-    def handle(self, args: str) -> str:
-        try:
-            parts = args.strip().split(maxsplit=1)
-            if not parts:
-                return "错误：请提供操作类型\n\n" + self.usage
-
-            op = parts[0].lower()
-            rest = parts[1] if len(parts) > 1 else ""
-
-            handlers = {
-                "generate": self._generate,
-                "tag": self._generate_tag,
-                "gen": self._generate,
-                "g": self._generate,
-                "list": self._list_workflows,
-                "ls": self._list_workflows,
-                "status": self._gpu_status,
-            }
-
-            handler = handlers.get(op)
-            if not handler:
-                # 如果没有指定操作，把整个 args 当作自然语言描述
-                return self._generate(args)
-
-            return handler(rest)
-
-        except Exception as e:
-            return f"图像生成错误: {e}"
-
-    def _generate(self, args: str) -> str:
-        """自然语言模式生成图片"""
-        # 解析 --width 和 --height 参数
-        width, height = 1024, 1344
-        prompt = args.strip()
-
-        if "--width" in prompt or "--height" in prompt or "--w" in prompt or "--h" in prompt:
-            import re
-            w_match = re.search(r'--w(?:idth)?\s+(\d+)', prompt)
-            h_match = re.search(r'--h(?:eight)?\s+(\d+)', prompt)
-            if w_match:
-                width = int(w_match.group(1))
-                prompt = prompt[:w_match.start()] + prompt[w_match.end():]
-            if h_match:
-                height = int(h_match.group(1))
-                prompt = prompt[:h_match.start()] + prompt[h_match.end():]
-            prompt = prompt.strip()
-
-        if not prompt:
-            return "错误：请提供图片描述\n示例: image_generator generate 一个白发猫耳少女"
-
-        # 限制分辨率
-        width = min(width, 1344)
-        height = min(height, 1344)
-
-        return self._run_generation(prompt, "", width, height, rewrite=True, override=False)
-
-    def _generate_tag(self, args: str) -> str:
-        """直接 Tag 模式"""
-        width, height = 1024, 1344
-        prompt = args.strip()
-
-        if "--width" in prompt or "--height" in prompt or "--w" in prompt or "--h" in prompt:
-            import re
-            w_match = re.search(r'--w(?:idth)?\s+(\d+)', prompt)
-            h_match = re.search(r'--h(?:eight)?\s+(\d+)', prompt)
-            if w_match:
-                width = int(w_match.group(1))
-                prompt = prompt[:w_match.start()] + prompt[w_match.end():]
-            if h_match:
-                height = int(h_match.group(1))
-                prompt = prompt[:h_match.start()] + prompt[h_match.end():]
-            prompt = prompt.strip()
-
-        if not prompt:
-            return "错误：请提供 Tag\n示例: image_generator tag masterpiece, 1girl, white hair, blue eyes"
-
-        width = min(width, 1344)
-        height = min(height, 1344)
-
-        return self._run_generation("", prompt, width, height, rewrite=False, override=False)
-
-    def _run_generation(self, nl_prompt: str, direct_prompt: str, width: int, height: int,
-                        rewrite: bool = False, override: bool = False) -> str:
-        """执行图像生成（同步包装）"""
-        try:
-            import websocket as ws_lib
-        except ImportError:
-            # 回退：用 urllib 的方式不行，WebSocket 必须用专用库
-            # 尝试用 subprocess 调用 python 脚本
-            return self._run_generation_subprocess(nl_prompt, direct_prompt, width, height, rewrite, override)
-
-        try:
-            start_time = time.time()
-            ws = ws_lib.create_connection(self.ws_url, timeout=180)
-
-            payload = {
-                "workflow_path": self.default_workflow,
-                "inline_workflow": None,
-                "direct_prompt": direct_prompt,
-                "nl_prompt": nl_prompt,
-                "rewrite": rewrite,
-                "override": override,
-                "width": width,
-                "height": height,
-            }
-            ws.send(json.dumps(payload))
-
-            image_path = None
-            final_prompt = ""
-            error_msg = ""
-
-            while True:
-                try:
-                    raw = ws.recv()
-                    data = json.loads(raw)
-                    msg_type = data.get("type", "")
-
-                    if msg_type == "image":
-                        url = data.get("url", "")
-                        filename = data.get("filename", "")
-                        if url:
-                            image_path = self._download_image(url, filename)
-                    elif msg_type == "final_prompt":
-                        final_prompt = data.get("final_prompt", "") if isinstance(data.get("final_prompt"), str) else data.get("prompt", "")
-                    elif msg_type == "done":
-                        break
-                    elif msg_type == "error":
-                        error_msg = data.get("message", "未知错误")
-                        break
-                except Exception as e:
-                    error_msg = str(e)
-                    break
-
-            ws.close()
-            elapsed = time.time() - start_time
-
-            if error_msg:
-                return f"  生成失败: {error_msg}"
-
-            if image_path:
-                size = os.path.getsize(image_path)
-                size_str = f"{size/1024:.0f}KB" if size < 1024*1024 else f"{size/1024/1024:.1f}MB"
-                result = f"  图片生成成功！\n"
-                result += f"  路径: {image_path}\n"
-                result += f"  大小: {size_str}\n"
-                result += f"  分辨率: {width}x{height}\n"
-                result += f"⏱  耗时: {elapsed:.1f}s\n"
-                if final_prompt:
-                    result += f"  Prompt: {final_prompt[:120]}...\n"
-                result += f"\n💡 提示: 用 'send_image {image_path}' 可以推送到手机"
-                return result
-            else:
-                return "  生成完成但未收到图片数据"
-
-        except Exception as e:
-            return f"  连接失败: {e}\n💡 请检查网络连接或稍后重试"
-
-    def _run_generation_subprocess(self, nl_prompt: str, direct_prompt: str, width: int, height: int,
-                                    rewrite: bool, override: bool) -> str:
-        """用子进程执行 WebSocket 生成（无需 websocket 库）"""
-        import subprocess
-        import tempfile
-
-        script = f'''
-import json, asyncio, urllib.request, os, sys
-
-async def main():
-    try:
-        import websockets
-    except ImportError:
-        print("ERROR:需要安装 websockets: pip install websockets")
-        sys.exit(1)
-
-    uri = "wss://ai.2x.nz/ws/run"
-    async with websockets.connect(uri) as ws:
-        payload = {{
-            "workflow_path": "{self.default_workflow}",
-            "inline_workflow": None,
-            "direct_prompt": {json.dumps(direct_prompt)},
-            "nl_prompt": {json.dumps(nl_prompt)},
-            "rewrite": {"true" if rewrite else "false"},
-            "override": {"true" if override else "false"},
-            "width": {width},
-            "height": {height},
-        }}
-        await ws.send(json.dumps(payload))
-
-        image_url = None
-        while True:
-            try:
-                msg = await asyncio.wait_for(ws.recv(), timeout=180)
-                data = json.loads(msg)
-                t = data.get("type", "")
-                if t == "image":
-                    image_url = data.get("url", "")
-                elif t == "done":
-                    break
-                elif t == "error":
-                    print(f"ERROR:{{data.get('message','')}}")
-                    break
-            except asyncio.TimeoutError:
-                print("ERROR:超时")
-                break
-
-    if image_url:
-        full_url = f"https://ai.2x.nz{{image_url}}"
-        out_path = os.path.join("{self.output_dir}", f"generated_{{os.path.basename(image_url)}}")
-        os.makedirs(os.path.dirname(out_path), exist_ok=True)
-        urllib.request.urlretrieve(full_url, out_path)
-        print(f"OK:{{out_path}}")
-
-asyncio.run(main())
-'''
-
-        script_path = os.path.join(self.output_dir, "_gen_temp.py")
-        os.makedirs(self.output_dir, exist_ok=True)
-        with open(script_path, 'w') as f:
-            f.write(script)
-
-        try:
-            result = subprocess.run(
-                ["python3", script_path],
-                capture_output=True, text=True, timeout=200
-            )
-            output = result.stdout.strip()
-
-            if output.startswith("OK:"):
-                image_path = output[3:]
-                size = os.path.getsize(image_path)
-                size_str = f"{size/1024:.0f}KB" if size < 1024*1024 else f"{size/1024/1024:.1f}MB"
-                res = f"  图片生成成功！\n"
-                res += f"  路径: {image_path}\n"
-                res += f"  大小: {size_str}\n"
-                res += f"  分辨率: {width}x{height}\n"
-                res += f"\n💡 提示: 用 'send_image {image_path}' 可以推送到手机"
-                return res
-            elif output.startswith("ERROR:"):
-                return f"  {output[6:]}"
-            else:
-                return f"  生成异常:\n{result.stdout}\n{result.stderr}"
-        except subprocess.TimeoutExpired:
-            return "  生成超时（>200s），请稍后重试"
-        finally:
-            try:
-                os.remove(script_path)
-            except:
-                pass
-
-    def _download_image(self, url: str, filename: str) -> str:
-        """下载生成的图片"""
-        full_url = f"{self.api_base}{url}"
-        os.makedirs(self.output_dir, exist_ok=True)
-        out_path = os.path.join(self.output_dir, f"gen_{filename}")
-        urllib.request.urlretrieve(full_url, out_path)
-        return out_path
-
-    def _list_workflows(self, args: str) -> str:
-        """列出可用的工作流"""
-        try:
-            import urllib.request
-            req = urllib.request.Request(f"{self.api_base}/api/workflows")
-            with urllib.request.urlopen(req, timeout=10) as resp:
-                data = json.loads(resp.read())
-
-            workflows = data.get("workflows", [])
-            result = f"  可用工作流 ({len(workflows)} 个):\n\n"
-
-            lora_workflows = []
-            no_lora = []
-            for w in workflows:
-                name = w.get("path", "")
-                if "无Lora" in name or "no" in name.lower():
-                    no_lora.append(name)
-                else:
-                    lora_workflows.append(name)
-
-            if no_lora:
-                result += "  通用（无角色绑定）:\n"
-                for w in no_lora:
-                    result += f"    • {w}\n"
-
-            if lora_workflows:
-                result += "\n  角色工作流:\n"
-                for w in lora_workflows:
-                    result += f"    • {w}\n"
-
-            result += "\n💡 使用 'image_generator generate <描述>' 自然语言生图"
-            result += "\n💡 使用 'image_generator tag <tags>' 直接 Tag 生图"
-            return result
-
-        except Exception as e:
-            return f"  获取工作流列表失败: {e}"
-
-    def _gpu_status(self, args: str) -> str:
-        """查看 GPU 状态"""
-        try:
-            import urllib.request
-            req = urllib.request.Request(f"{self.api_base}/api/gpu")
-            with urllib.request.urlopen(req, timeout=10) as resp:
-                data = json.loads(resp.read())
-
-            result = "  服务器 GPU 状态:\n"
-            for gpu in data.get("gpus", []):
-                name = gpu.get("name", "未知")
-                util = gpu.get("utilization", 0)
-                mem_used = gpu.get("memory_used", 0)
-                mem_total = gpu.get("memory_total", 0)
-                temp = gpu.get("temperature", 0)
-                result += f"  {name}\n"
-                result += f"    GPU 负载: {util}%\n"
-                result += f"    显存: {mem_used}/{mem_total} MiB\n"
-                result += f"    温度: {temp}°C\n"
-            return result
-
-        except Exception as e:
-            return f"  获取 GPU 状态失败: {e}"

plugins/image_reader.py

@@ -0,0 +1,293 @@
+"""
+图片读取插件 — 从图片中提取文字，发送给 AI
+=============================================
+功能：读取图片 → OCR 提取文字 → 返回给 AI
+支持：Tesseract OCR / Windows PowerShell OCR / 纯 Python 元数据
+"""
+import os
+import sys
+import json
+import base64
+import hashlib
+import subprocess
+import platform
+import tempfile
+from pathlib import Path
+
+_IS_WIN = platform.system() == "Windows"
+
+
+class Liugin:
+    """图片读取 — 从图片中提取文字"""
+
+    def __init__(self):
+        self.cli = None
+
+    def set_cli(self, cli):
+        self.cli = cli
+
+    def get_tool_info(self):
+        return {
+            "name": "image_reader",
+            "description": "图片读取工具 — 从图片中提取文字（OCR），获取图片信息，"
+                           "将图片内容转为文本发送给 AI",
+            "keywords": [
+                "图片", "image", "OCR", "文字识别", "读图", "截图",
+                "提取文字", "图片转文字", "识别", "tesseract",
+            ],
+            "usage": (
+                "image_reader <操作> <路径>\n\n"
+                "操作:\n"
+                "  ocr <图片路径>         - 从图片中提取文字\n"
+                "  info <图片路径>        - 获取图片信息（尺寸/格式/大小）\n"
+                "  read <图片路径>        - 综合读取（信息 + OCR）\n"
+                "  ascii <图片路径> [宽]  - 转 ASCII 字符画（终端显示）\n"
+                "  base64 <图片路径>      - 转 Base64 编码\n"
+                "  hash <图片路径>        - 计算图片哈希值\n\n"
+                "示例:\n"
+                "  image_reader ocr screenshot.png     - 识别截图中的文字\n"
+                "  image_reader read photo.jpg          - 综合读取图片\n"
+                "  image_reader ascii logo.png 40       - 转40列宽ASCII画\n"
+            ),
+        }
+
+    def get_mcp_definition(self):
+        return {
+            "name": "image_reader",
+            "description": "图片读取工具 — 从图片中提取文字（OCR）",
+            "inputSchema": {
+                "type": "object",
+                "properties": {
+                    "action": {
+                        "type": "string",
+                        "enum": ["ocr", "info", "read", "ascii", "base64", "hash"],
+                        "description": "操作类型",
+                    },
+                    "path": {"type": "string", "description": "图片文件路径"},
+                    "width": {"type": "integer", "description": "ASCII 画宽度"},
+                },
+                "required": ["action", "path"],
+            },
+        }
+
+    def convert_mcp_args(self, arguments):
+        action = arguments.get("action", "")
+        path = arguments.get("path", "")
+        width = arguments.get("width", "")
+        parts = [action, path]
+        if width:
+            parts.append(str(width))
+        return " ".join(parts)
+
+    def handle(self, args: str) -> str:
+        parts = args.strip().split(maxsplit=2)
+        if not parts:
+            return "请提供操作和图片路径"
+        action = parts[0].lower()
+        path = parts[1] if len(parts) > 1 else ""
+        extra = parts[2] if len(parts) > 2 else ""
+
+        if not path:
+            return "请提供图片路径"
+
+        # 展开 ~ 和环境变量
+        path = os.path.expanduser(os.path.expandvars(path))
+        if not os.path.isfile(path):
+            return f"文件不存在: {path}"
+
+        handlers = {
+            "ocr": self._ocr,
+            "info": self._info,
+            "read": self._read,
+            "ascii": self._ascii,
+            "base64": self._b64,
+            "hash": self._hash,
+        }
+        h = handlers.get(action)
+        if not h:
+            return f"不支持的操作 '{action}'"
+        try:
+            return h(path, extra)
+        except Exception as e:
+            return f"错误: {e}"
+
+    # ── 图片信息 ──
+
+    def _info(self, path: str, _: str) -> str:
+        size = os.path.getsize(path)
+        ext = os.path.splitext(path)[1].lower()
+        lines = [
+            f"图片: {os.path.basename(path)}",
+            f"格式: {ext}",
+            f"大小: {self._human_size(size)}",
+        ]
+        # 尝试用 PIL 获取尺寸
+        try:
+            from PIL import Image
+            with Image.open(path) as img:
+                lines.append(f"尺寸: {img.width} x {img.height}")
+                lines.append(f"模式: {img.mode}")
+                if hasattr(img, 'info'):
+                    dpi = img.info.get('dpi')
+                    if dpi:
+                        lines.append(f"DPI: {dpi}")
+        except ImportError:
+            pass
+        except Exception as e:
+            lines.append(f"读取详情失败: {e}")
+        return "\n".join(lines)
+
+    # ── OCR 文字识别 ──
+
+    def _ocr(self, path: str, _: str) -> str:
+        # 方案1: Tesseract
+        result = self._ocr_tesseract(path)
+        if result:
+            return result
+
+        # 方案2: Windows PowerShell OCR
+        if _IS_WIN:
+            result = self._ocr_windows(path)
+            if result:
+                return result
+
+        # 方案3: 用 PIL 读取图片元数据，至少告诉用户图片是什么
+        return (
+            "未找到 OCR 引擎。请安装以下任一工具:\n"
+            "  - Tesseract: https://github.com/tesseract-ocr/tesseract\n"
+            "  - Ubuntu: sudo apt install tesseract-ocr tesseract-ocr-chi-sim\n"
+            "  - macOS: brew install tesseract\n"
+            "  - Windows: 下载 UB-Mannheim installer\n\n"
+            f"图片信息:\n{self._info(path, '')}"
+        )
+
+    def _ocr_tesseract(self, path: str) -> str:
+        """用 Tesseract OCR 提取文字"""
+        # 检查 tesseract 是否可用
+        try:
+            subprocess.run(["tesseract", "--version"],
+                           capture_output=True, timeout=5)
+        except (FileNotFoundError, subprocess.TimeoutExpired):
+            return ""
+
+        # 执行 OCR
+        with tempfile.NamedTemporaryFile(suffix=".txt", delete=False) as tmp:
+            tmp_path = tmp.name
+
+        try:
+            # 检测语言：中文+英文
+            cmd = ["tesseract", path, tmp_path[:-4], "-l", "chi_sim+eng"]
+            subprocess.run(cmd, capture_output=True, timeout=30)
+
+            if os.path.exists(tmp_path):
+                with open(tmp_path, "r", encoding="utf-8") as f:
+                    text = f.read().strip()
+                if text:
+                    return f"OCR 识别结果:\n{text}"
+                return "OCR 未识别到文字"
+        except subprocess.TimeoutExpired:
+            return "OCR 超时"
+        except Exception as e:
+            return f"OCR 失败: {e}"
+        finally:
+            try:
+                os.unlink(tmp_path)
+            except OSError:
+                pass
+        return ""
+
+    def _ocr_windows(self, path: str) -> str:
+        """用 Windows 内置 OCR (PowerShell + Windows.Media.Ocr)"""
+        try:
+            ps_script = f'''
+Add-Type -AssemblyName System.Runtime.WindowsRuntime
+$bitmap = [Windows.Graphics.Imaging.SoftwareBitmap, Windows.Graphics.Imaging, ContentType=WindowsRuntime]
+$ocrEngine = [Windows.Media.Ocr.OcrEngine, Windows.Media.Ocr, ContentType=WindowsRuntime]
+$ocr = $ocrEngine.TryCreateFromUserProfileLanguages()
+$file = Get-Item "{path}"
+$stream = [System.IO.File]::OpenRead($file.FullName)
+$decoder = [Windows.Graphics.Imaging.BitmapDecoder]::CreateAsync($stream).GetAwaiter().GetResult()
+$bitmap = $decoder.GetSoftwareBitmapAsync().GetAwaiter().GetResult()
+$result = $ocr.RecognizeAsync($bitmap).GetAwaiter().GetResult()
+$result.Text
+'''
+            result = subprocess.run(
+                ["powershell", "-Command", ps_script],
+                capture_output=True, text=True, timeout=30
+            )
+            if result.returncode == 0 and result.stdout.strip():
+                return f"OCR 识别结果:\n{result.stdout.strip()}"
+        except Exception:
+            pass
+        return ""
+
+    # ── 综合读取 ──
+
+    def _read(self, path: str, _: str) -> str:
+        """信息 + OCR"""
+        info = self._info(path, "")
+        ocr = self._ocr(path, "")
+        return f"{info}\n\n{ocr}"
+
+    # ── ASCII 字符画 ──
+
+    def _ascii(self, path: str, extra: str) -> str:
+        """将图片转为 ASCII 字符画"""
+        width = int(extra) if extra.strip().isdigit() else 60
+
+        try:
+            from PIL import Image
+        except ImportError:
+            return "需要 Pillow 库: pip install Pillow"
+
+        chars = " .:-=+*#%@"
+
+        with Image.open(path) as img:
+            # 转灰度
+            img = img.convert("L")
+            # 缩放
+            ratio = img.height / img.width
+            new_height = int(width * ratio * 0.5)  # 字符高宽比约 2:1
+            img = img.resize((width, new_height))
+
+            lines = []
+            for y in range(new_height):
+                row = ""
+                for x in range(width):
+                    pixel = img.getpixel((x, y))
+                    idx = pixel * (len(chars) - 1) // 255
+                    row += chars[idx]
+                lines.append(row)
+
+        return "\n".join(lines)
+
+    # ── Base64 编码 ──
+
+    def _b64(self, path: str, _: str) -> str:
+        with open(path, "rb") as f:
+            data = f.read()
+        ext = os.path.splitext(path)[1].lower().lstrip(".")
+        mime = {"png": "image/png", "jpg": "image/jpeg", "jpeg": "image/jpeg",
+                "gif": "image/gif", "webp": "image/webp", "bmp": "image/bmp"
+                }.get(ext, "image/png")
+        b64 = base64.b64encode(data).decode("ascii")
+        return f"data:{mime};base64,{b64[:100]}... ({len(b64)} 字符)"
+
+    # ── 哈希 ──
+
+    def _hash(self, path: str, _: str) -> str:
+        with open(path, "rb") as f:
+            data = f.read()
+        md5 = hashlib.md5(data).hexdigest()
+        sha = hashlib.sha256(data).hexdigest()
+        return f"MD5:    {md5}\nSHA256: {sha}"
+
+    # ── 工具 ──
+
+    @staticmethod
+    def _human_size(size: int) -> str:
+        for unit in ["B", "KB", "MB", "GB"]:
+            if size < 1024:
+                return f"{size:.1f} {unit}"
+            size /= 1024
+        return f"{size:.1f} TB"

plugins/network_tools.py

@@ -9,6 +9,14 @@ from colorama import Fore, Style
 class Liugin:
     """网络工具插件"""
 
+    # 统一 User-Agent（模拟浏览器，避免被反爬拦截）
+    _UA = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
+    _HEADERS = {
+        'User-Agent': _UA,
+        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
+        'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
+    }
+
     def __init__(self):
         self.usage = """网络工具使用方法：/r
 network_tools <操作> <参数>/r
@@ -35,6 +43,7 @@ network_tools <操作> <参数>/r
 """
         self.cli = None  # CLI实例引用
         self.timeout = 10  # 请求超时时间（秒）
+        self.max_retries = 2  # 最大重试次数
     
     def set_cli(self, cli):
         """设置CLI实例引用"""
@@ -161,8 +170,35 @@ JSON格式示例：
         except Exception as e:
             return f"网络工具操作错误: {str(e)}"
     
+    def _request(self, url, method='GET', timeout=None):
+        """统一请求方法 — 带重试、UA、编码处理"""
+        timeout = timeout or self.timeout
+        last_error = None
+        for attempt in range(self.max_retries + 1):
+            try:
+                response = requests.request(
+                    method, url, timeout=timeout, headers=self._HEADERS,
+                    allow_redirects=True
+                )
+                # 显式编码处理：优先用响应头声明的编码，兜底 UTF-8
+                if not response.encoding or response.encoding.lower() == 'iso-8859-1':
+                    response.encoding = response.apparent_encoding or 'utf-8'
+                return response
+            except requests.exceptions.Timeout:
+                last_error = f"请求超时 (>{timeout}秒)"
+                if attempt < self.max_retries:
+                    time.sleep(1)
+            except requests.exceptions.ConnectionError:
+                last_error = "连接失败 (无法连接到服务器)"
+                if attempt < self.max_retries:
+                    time.sleep(1)
+            except requests.exceptions.RequestException as e:
+                last_error = str(e)
+                break
+        return last_error
+
     def _ping(self, target):
-        """测试网站连通性和延迟"""
+        """测试网站连通性和延迟（单次请求，不重试，保证延迟测量准确）"""
         try:
             # 确保URL格式正确
             if not target.startswith(('http://', 'https://')):
@@ -170,12 +206,19 @@ JSON格式示例：
             else:
                 test_url = target
 
-            # 添加协议如果缺失
+            # 单次请求测量延迟（不使用重试，避免重试干扰延迟数值）
-            if not test_url.startswith(('http://', 'https://')):
-                test_url = 'http://' + test_url
-            
             start_time = time.time()
-            response = requests.get(test_url, timeout=self.timeout)
+            try:
+                response = requests.get(
+                    test_url, timeout=self.timeout,
+                    headers=self._HEADERS, allow_redirects=True
+                )
+            except requests.exceptions.Timeout:
+                return f".ping 测试结果:\n目标: {target}\n错误: 请求超时 (>{self.timeout}秒)\n连接状态: 失败"
+            except requests.exceptions.ConnectionError:
+                return f".ping 测试结果:\n目标: {target}\n错误: 连接失败 (无法连接到服务器)\n连接状态: 失败"
+            except requests.exceptions.RequestException as e:
+                return f".ping 测试结果:\n目标: {target}\n错误: {str(e)}\n连接状态: 失败"
             end_time = time.time()
 
             response_time = (end_time - start_time) * 1000  # 转换为毫秒
@@ -191,98 +234,73 @@ JSON格式示例：
 
             return result
 
-        except requests.exceptions.Timeout:
-            return f".ping 测试结果:\n目标: {target}\n错误: 请求超时 (>{self.timeout}秒)\n连接状态: 失败"
-        except requests.exceptions.ConnectionError:
-            return f".ping 测试结果:\n目标: {target}\n错误: 连接失败 (无法连接到服务器)\n连接状态: 失败"
-        except requests.exceptions.RequestException as e:
-            return f".ping 测试结果:\n目标: {target}\n错误: {str(e)}\n连接状态: 失败"
         except Exception as e:
             return f".ping 测试结果:\n目标: {target}\n错误: {str(e)}\n连接状态: 失败"
     
     def _get_content(self, url):
         """获取网页内容"""
-        try:
+        # 确保URL格式正确
-            # 确保URL格式正确
+        if not url.startswith(('http://', 'https://')):
-            if not url.startswith(('http://', 'https://')):
+            url = 'https://' + url
-                url = 'https://' + url
 
-            response = requests.get(url, timeout=self.timeout)
+        response = self._request(url)
+        # _request 返回字符串表示错误
+        if isinstance(response, str):
+            return f"获取网页内容失败: {response}"
 
-            if response.status_code == 200:
+        if response.status_code == 200:
-                content = response.text
+            content = response.text
-                # 限制内容长度以避免过长输出
+            # 限制内容长度以避免过长输出
-                if len(content) > 2000:
+            if len(content) > 2000:
-                    content = content[:2000] + f"\n... (内容已截断，完整内容共{len(content)}字符)"
+                content = content[:2000] + f"\n... (内容已截断，完整内容共{len(content)}字符)"
 
-                result = f"网页内容 (来自 {url}):\n"
+            result = f"网页内容 (来自 {url}):\n"
-                result += content
+            result += content
-                return result
+            return result
-            else:
+        else:
-                return f"获取网页内容失败，状态码: {response.status_code}, 原因: {response.reason if hasattr(response, 'reason') else ''}"
+            return f"获取网页内容失败，状态码: {response.status_code}, 原因: {response.reason if hasattr(response, 'reason') else ''}"
-                
-        except requests.exceptions.Timeout:
-            return f"获取网页内容超时 (>{self.timeout}秒)"
-        except requests.exceptions.ConnectionError:
-            return f"无法连接到 {url}，请检查URL是否正确"
-        except requests.exceptions.RequestException as e:
-            return f"请求失败: {str(e)}"
-        except Exception as e:
-            return f"获取网页内容时发生错误: {str(e)}"
     
     def _check_status(self, url):
         """检查网站状态码"""
-        try:
+        # 确保URL格式正确
-            # 确保URL格式正确
+        if not url.startswith(('http://', 'https://')):
-            if not url.startswith(('http://', 'https://')):
+            url = 'https://' + url
-                url = 'https://' + url
 
-            response = requests.get(url, timeout=self.timeout)
+        response = self._request(url)
+        if isinstance(response, str):
+            return f"检查网站状态失败: {response}"
 
-            result = f"网站状态 (来自 {url}):\n"
+        result = f"网站状态 (来自 {url}):\n"
-            result += f"HTTP状态码: {response.status_code}\n"
+        result += f"HTTP状态码: {response.status_code}\n"
-            result += f"状态描述: {response.reason if hasattr(response, 'reason') else 'Unknown'}\n"
+        result += f"状态描述: {response.reason if hasattr(response, 'reason') else 'Unknown'}\n"
-            result += f"响应时间: {response.elapsed.total_seconds():.2f} 秒\n"
+        result += f"响应时间: {response.elapsed.total_seconds():.2f} 秒\n"
-            result += f"内容长度: {len(response.content)} 字节\n"
+        result += f"内容长度: {len(response.content)} 字节\n"
-            result += f"服务器: {response.headers.get('Server', '未知')}\n"
+        result += f"服务器: {response.headers.get('Server', '未知')}\n"
-            result += f"内容类型: {response.headers.get('Content-Type', '未知')}\n"
+        result += f"内容类型: {response.headers.get('Content-Type', '未知')}\n"
 
-            return result
+        return result
-            
-        except requests.exceptions.Timeout:
-            return f"检查网站状态超时 (>{self.timeout}秒)"
-        except requests.exceptions.ConnectionError:
-            return f"无法连接到 {url}，请检查URL是否正确"
-        except requests.exceptions.RequestException as e:
-            return f"请求失败: {str(e)}"
-        except Exception as e:
-            return f"检查网站状态时发生错误: {str(e)}"
     
     def _get_headers(self, url):
-        """获取网站响应头"""
+        """获取网站响应头（优先 HEAD 请求，失败则回退 GET）"""
-        try:
+        # 确保URL格式正确
-            # 确保URL格式正确
+        if not url.startswith(('http://', 'https://')):
-            if not url.startswith(('http://', 'https://')):
+            url = 'https://' + url
-                url = 'https://' + url
 
-            response = requests.get(url, timeout=self.timeout)
+        # 优先用 HEAD（更高效），失败则回退到 GET
+        response = self._request(url, method='HEAD')
+        if isinstance(response, str):
+            # HEAD 失败（可能服务器不支持），回退到 GET
+            response = self._request(url, method='GET')
+        if isinstance(response, str):
+            return f"获取响应头失败: {response}"
 
-            headers = dict(response.headers)
+        headers = dict(response.headers)
 
-            result = f"响应头 (来自 {url}):\n"
+        result = f"响应头 (来自 {url}):\n"
-            for key, value in headers.items():
+        for key, value in headers.items():
-                result += f"{key}: {value}\n"
+            result += f"{key}: {value}\n"
 
-            return result
+        return result
-            
-        except requests.exceptions.Timeout:
-            return f"获取响应头超时 (>{self.timeout}秒)"
-        except requests.exceptions.ConnectionError:
-            return f"无法连接到 {url}，请检查URL是否正确"
-        except requests.exceptions.RequestException as e:
-            return f"请求失败: {str(e)}"
-        except Exception as e:
-            return f"获取响应头时发生错误: {str(e)}"
     
     def _get_ip(self, domain):
         """获取域名对应的IP地址"""

plugins/scheduler.py

@@ -295,17 +295,37 @@ JSON格式示例：
         except Exception:
             pass
 
-        # 打印醒目提醒
+        # 打印醒目提醒（TUI 兼容）
-        print()
+        is_tui = self.cli and getattr(self.cli, 'tui_output_callback', None)
-        print(f"{Fore.YELLOW}{'═' * 50}{Style.RESET_ALL}")
+        is_generating = self.cli and getattr(self.cli, 'tui_stream_callback', None)
-        print(f"{Fore.YELLOW}  ⏰ 定时任务提醒 #{task_id}{Style.RESET_ALL}")
+
-        print(f"{Fore.YELLOW}{'─' * 50}{Style.RESET_ALL}")
+        if is_tui and not is_generating:
-        print(f"  {Fore.CYAN}任务:{Style.RESET_ALL} {message}")
+            # TUI 模式且未在生成中：通过回调输出
-        print(f"  {Fore.CYAN}时间:{Style.RESET_ALL} {now.strftime('%H:%M:%S')}")
+            lines = [
-        if is_repeat:
+                "",
-            next_str = (now + timedelta(seconds=repeat_seconds)).strftime("%Y-%m-%d %H:%M:%S")
+                f"{Fore.YELLOW}{'═' * 50}{Style.RESET_ALL}",
-            print(f"  {Fore.CYAN}下次:{Style.RESET_ALL} {next_str}")
+                f"{Fore.YELLOW}  ⏰ 定时任务提醒 #{task_id}{Style.RESET_ALL}",
-        print(f"{Fore.YELLOW}{'═' * 50}{Style.RESET_ALL}")
+                f"{Fore.YELLOW}{'─' * 50}{Style.RESET_ALL}",
+                f"  {Fore.CYAN}任务:{Style.RESET_ALL} {message}",
+                f"  {Fore.CYAN}时间:{Style.RESET_ALL} {now.strftime('%H:%M:%S')}",
+            ]
+            if is_repeat:
+                next_str = (now + timedelta(seconds=repeat_seconds)).strftime("%Y-%m-%d %H:%M:%S")
+                lines.append(f"  {Fore.CYAN}下次:{Style.RESET_ALL} {next_str}")
+            lines.append(f"{Fore.YELLOW}{'═' * 50}{Style.RESET_ALL}")
+            self.cli.tui_output_callback("\n".join(lines))
+        elif not is_generating:
+            # CLI 模式
+            print()
+            print(f"{Fore.YELLOW}{'═' * 50}{Style.RESET_ALL}")
+            print(f"{Fore.YELLOW}  ⏰ 定时任务提醒 #{task_id}{Style.RESET_ALL}")
+            print(f"{Fore.YELLOW}{'─' * 50}{Style.RESET_ALL}")
+            print(f"  {Fore.CYAN}任务:{Style.RESET_ALL} {message}")
+            print(f"  {Fore.CYAN}时间:{Style.RESET_ALL} {now.strftime('%H:%M:%S')}")
+            if is_repeat:
+                next_str = (now + timedelta(seconds=repeat_seconds)).strftime("%Y-%m-%d %H:%M:%S")
+                print(f"  {Fore.CYAN}下次:{Style.RESET_ALL} {next_str}")
+            print(f"{Fore.YELLOW}{'═' * 50}{Style.RESET_ALL}")
 
         # 自动激活 AI — 将提醒注入对话
         self._activate_ai(task_id, message)

plugins/send_image.py

@@ -1,144 +0,0 @@
-"""
-发送图片插件 - Clawli 模式下向手机端发送图片
-支持独立进程服务器模式
-"""
-import os
-import json
-from typing import Dict, Any
-
-
-def get_clawli_server():
-    """获取 Clawli 服务器实例（优先使用独立进程服务器）"""
-    try:
-        import clawli_server
-        if clawli_server.is_running():
-            return clawli_server
-    except ImportError:
-        pass
-    
-    # 回退到旧的 WebSocket 服务器
-    try:
-        from websocket_server import websocket_server
-        return websocket_server
-    except ImportError:
-        return None
-
-
-class Liugin:
-    """发送图片插件 - 在 Clawli 模式下发送图片到手机端"""
-    
-    def __init__(self):
-        self.name = "send_image"
-        self.cli = None
-    
-    def set_cli(self, cli_instance):
-        """设置 CLI 引用"""
-        self.cli = cli_instance
-    
-    def get_tool_info(self):
-        """返回工具信息"""
-        return {
-            "name": "send_image",
-            "description": "在 Clawli 模式下发送图片到手机端，支持 JPG、PNG、GIF、BMP、WEBP 格式",
-            "keywords": ["图片", "发送", "手机", "clawli", "image", "send"],
-            "usage": "send_image {\"image_path\": \"图片路径\", \"caption\": \"说明文字\"}"
-        }
-    
-    def handle(self, args):
-        """处理工具调用
-        
-        Args:
-            args: 可以是 JSON 字符串或字典
-        """
-        # 解析参数
-        if isinstance(args, str):
-            try:
-                params = json.loads(args)
-            except json.JSONDecodeError:
-                params = {"image_path": args.strip()}
-        elif isinstance(args, dict):
-            params = args
-        else:
-            return "错误: 参数格式无效"
-        
-        image_path = params.get("image_path", "")
-        caption = params.get("caption", "")
-        
-        if not image_path:
-            return "错误: 请提供图片路径"
-        
-        # 检查文件是否存在
-        if not os.path.isfile(image_path):
-            return f"错误: 图片文件不存在: {image_path}"
-        
-        # 检查是否是图片文件
-        ext = image_path.lower().split('.')[-1] if '.' in image_path else ''
-        supported_formats = ['jpg', 'jpeg', 'png', 'gif', 'bmp', 'webp']
-        if ext not in supported_formats:
-            return f"错误: 不支持的图片格式: {ext}，支持: {', '.join(supported_formats)}"
-        
-        # 获取服务器
-        server = get_clawli_server()
-        if not server:
-            return "错误: Clawli 服务器未初始化"
-        
-        # 尝试使用独立进程服务器
-        try:
-            import clawli_server
-            if clawli_server.is_running():
-                success, msg = clawli_server.send_image(image_path, caption)
-                if success:
-                    file_size = os.path.getsize(image_path)
-                    size_str = f"{file_size/1024:.1f}KB" if file_size < 1024*1024 else f"{file_size/1024/1024:.2f}MB"
-                    return f"图片已发送到手机端: {os.path.basename(image_path)} ({size_str})"
-                else:
-                    return f"错误: {msg}"
-        except ImportError:
-            pass
-        
-        # 回退到旧的 WebSocket 服务器
-        if hasattr(server, 'running') and not server.running:
-            return "错误: Clawli 模式未启动，请先使用 /remote start 启动远程服务"
-        
-        if hasattr(server, 'clients') and not server.clients:
-            return "错误: 没有连接的手机端，请确保手机已连接"
-        
-        if hasattr(server, 'send_image_to_clients'):
-            success = server.send_image_to_clients(image_path, caption)
-            if success:
-                file_size = os.path.getsize(image_path)
-                size_str = f"{file_size/1024:.1f}KB" if file_size < 1024*1024 else f"{file_size/1024/1024:.2f}MB"
-                return f"图片已发送到手机端: {os.path.basename(image_path)} ({size_str})"
-        
-        return "错误: 发送图片失败"
-
-
-# 工具定义
-TOOLS = [
-    {
-        "type": "function",
-        "function": {
-            "name": "send_image",
-            "description": "在 Clawli 模式下发送图片到手机端。支持 JPG、PNG、GIF、BMP、WEBP 格式。",
-            "parameters": {
-                "type": "object",
-                "properties": {
-                    "image_path": {
-                        "type": "string",
-                        "description": "图片文件的绝对路径"
-                    },
-                    "caption": {
-                        "type": "string",
-                        "description": "图片说明文字（可选）"
-                    }
-                },
-                "required": ["image_path"]
-            }
-        }
-    }
-]
-
-
-def get_tools():
-    """返回工具定义列表"""
-    return TOOLS

plugins/snippet_manager.py

@@ -83,7 +83,24 @@ class Liugin:
     def convert_mcp_args(self, arguments):
         op = arguments.get("operation", "")
         name = arguments.get("name", "")
-        return f"{op} {name}".strip()
+        parts = [op]
+        if name:
+            parts.append(name)
+        if arguments.get("keyword"):
+            parts.append(arguments["keyword"])
+        if arguments.get("file"):
+            parts.append(arguments["file"])
+        if arguments.get("count"):
+            parts.append(str(arguments["count"]))
+        if arguments.get("language"):
+            parts.extend(["-l", arguments["language"]])
+        if arguments.get("code"):
+            parts.extend(["-c", f'"{arguments["code"]}"'])
+        if arguments.get("tags"):
+            parts.extend(["-t", arguments["tags"]])
+        if arguments.get("description"):
+            parts.extend(["-d", f'"{arguments["description"]}"'])
+        return " ".join(parts)
 
     def _load_snippets(self):
         try:

plugins/sub_agent.py

@@ -319,18 +319,29 @@ class Liugin:
 
         return None
 
+    def _find_agent(self, agent_id: str):
+        """线程安全地查找 Agent（精确匹配 + 模糊匹配）"""
+        with self._lock:
+            agent = self.agents.get(agent_id)
+            if not agent:
+                matches = [a for a in self.agents.values() if agent_id in a.id or agent_id == a.name]
+                if matches:
+                    agent = matches[0]
+        return agent
+
     def _list(self, args: str) -> str:
         """列出所有子 Agent"""
         with self._lock:
             if not self.agents:
                 return "没有子 Agent"
+            agents_list = list(self.agents.values())
 
-        result = [f"子 Agent 列表 ({len(self.agents)} 个):\n"]
+        result = [f"子 Agent 列表 ({len(agents_list)} 个):\n"]
 
         # 按状态分组
-        running = [a for a in self.agents.values() if a.status == "running"]
+        running = [a for a in agents_list if a.status == "running"]
-        done = [a for a in self.agents.values() if a.status == "done"]
+        done = [a for a in agents_list if a.status == "done"]
-        failed = [a for a in self.agents.values() if a.status == "failed"]
+        failed = [a for a in agents_list if a.status == "failed"]
 
         if running:
             result.append(f" 运行中 ({len(running)}):")
@@ -355,14 +366,9 @@ class Liugin:
         if not agent_id:
             return "错误：请提供 Agent ID"
 
-        agent = self.agents.get(agent_id)
+        agent = self._find_agent(agent_id)
         if not agent:
-            # 模糊匹配
+            return f"错误：未找到 Agent '{agent_id}'"
-            matches = [a for a in self.agents.values() if agent_id in a.id or agent_id == a.name]
-            if matches:
-                agent = matches[0]
-            else:
-                return f"错误：未找到 Agent '{agent_id}'"
 
         lines = [
             f"Agent: {agent.id}",
@@ -386,13 +392,9 @@ class Liugin:
         if not agent_id:
             return "错误：请提供 Agent ID"
 
-        agent = self.agents.get(agent_id)
+        agent = self._find_agent(agent_id)
         if not agent:
-            matches = [a for a in self.agents.values() if agent_id in a.id or agent_id == a.name]
+            return f"错误：未找到 Agent '{agent_id}'"
-            if matches:
-                agent = matches[0]
-            else:
-                return f"错误：未找到 Agent '{agent_id}'"
 
         if agent.status == "running":
             return f"Agent {agent.id} 仍在运行中 (步骤 {agent.steps})"
@@ -417,13 +419,9 @@ class Liugin:
         agent_id = parts[0]
         message = parts[1]
 
-        agent = self.agents.get(agent_id)
+        agent = self._find_agent(agent_id)
         if not agent:
-            matches = [a for a in self.agents.values() if agent_id in a.id or agent_id == a.name]
+            return f"错误：未找到 Agent '{agent_id}'"
-            if matches:
-                agent = matches[0]
-            else:
-                return f"错误：未找到 Agent '{agent_id}'"
 
         if agent.status != "running":
             return f"Agent {agent.id} 未在运行 (状态: {agent.status})"
@@ -467,17 +465,15 @@ class Liugin:
 
         except Exception as e:
             agent.error = str(e)
+            agent.status = "failed"
+            agent.finished_at = datetime.now().strftime("%H:%M:%S")
 
     def _kill(self, args: str) -> str:
         """终止子 Agent"""
         agent_id = args.strip()
-        agent = self.agents.get(agent_id)
+        agent = self._find_agent(agent_id)
         if not agent:
-            matches = [a for a in self.agents.values() if agent_id in a.id or agent_id == a.name]
+            return f"错误：未找到 Agent '{agent_id}'"
-            if matches:
-                agent = matches[0]
-            else:
-                return f"错误：未找到 Agent '{agent_id}'"
 
         agent.status = "failed"
         agent.error = "被主 Agent 终止"

plugins/terminal.py

@@ -0,0 +1,411 @@
+"""
+终端模拟器 v2 — AI 的虚拟键盘和屏幕
+=====================================
+设计理念：AI 面前有一个终端，它能做的事就是：
+  1. 打字（type）
+  2. 按键（key）
+  3. 看屏幕（read）
+就这么简单。
+"""
+import os
+import re
+import sys
+import time
+import uuid
+import json
+import threading
+import subprocess
+import platform
+from collections import deque
+
+_IS_WIN = platform.system() == "Windows"
+
+
+class Terminal:
+    """一个终端 = 一个子进程 + 一个屏幕缓冲"""
+
+    def __init__(self, sid: str, shell: str = "", cwd: str = ""):
+        self.id = sid
+        self.shell = shell or self._default_shell()
+        self.cwd = cwd or os.getcwd()
+        self._proc = None
+        self._screen = deque(maxlen=5000)   # 屏幕行
+        self._raw = ""                       # 未处理原始输出
+        self._lock = threading.Lock()
+        self._start()
+
+    @staticmethod
+    def _default_shell():
+        if _IS_WIN:
+            return os.environ.get("COMSPEC", "cmd.exe")
+        for s in ["/bin/bash", "/bin/sh"]:
+            if os.path.isfile(s):
+                return s
+        return "/bin/sh"
+
+    def _start(self):
+        env = {**os.environ, "TERM": "dumb", "NO_COLOR": "1",
+               "PYTHONUNBUFFERED": "1", "PROMPT_COMMAND": ""}
+        if not _IS_WIN:
+            base = os.path.basename(self.shell)
+            if "bash" in base:
+                env["PS1"] = ""
+                args = [self.shell, "--norc", "--noprofile"]
+            elif "python" in base:
+                args = [self.shell, "-i"]
+            else:
+                args = [self.shell]
+            flags = 0
+        else:
+            args = [self.shell, "/K", "chcp 65001 >nul"]
+            flags = subprocess.CREATE_NO_WINDOW
+
+        self._proc = subprocess.Popen(
+            args, stdin=subprocess.PIPE, stdout=subprocess.PIPE,
+            stderr=subprocess.STDOUT, bufsize=0, cwd=self.cwd,
+            env=env, creationflags=flags if _IS_WIN else 0,
+        )
+        threading.Thread(target=self._reader, daemon=True).start()
+        time.sleep(0.3)
+
+    def _reader(self):
+        fd = self._proc.stdout.fileno()
+        while self._proc.poll() is None:
+            try:
+                chunk = os.read(fd, 4096)
+                if not chunk:
+                    break
+                text = chunk.decode("utf-8", errors="replace")
+                with self._lock:
+                    self._raw += text
+                    for line in text.split("\n"):
+                        self._screen.append(line)
+            except (OSError, ValueError):
+                break
+
+    def alive(self):
+        return self._proc and self._proc.poll() is None
+
+    # ── 核心操作：打字 ──
+
+    def type(self, text: str):
+        """像人一样打字，每个字符发到 stdin"""
+        if not self.alive():
+            return
+        try:
+            self._proc.stdin.write(text.encode("utf-8"))
+            self._proc.stdin.flush()
+        except (OSError, BrokenPipeError):
+            pass
+
+    # ── 核心操作：按键 ──
+
+    _KEYS = {
+        "enter": "\n", "return": "\n",
+        "tab": "\t",
+        "backspace": "\x7f", "bs": "\x7f",
+        "esc": "\x1b", "escape": "\x1b",
+        "space": " ",
+        "delete": "\x1b[3~", "del": "\x1b[3~",
+        "insert": "\x1b[2~",
+        "up": "\x1b[A", "down": "\x1b[B",
+        "right": "\x1b[C", "left": "\x1b[D",
+        "home": "\x1b[H", "end": "\x1b[F",
+        "pageup": "\x1b[5~", "pagedown": "\x1b[6~",
+        "f1": "\x1bOP", "f2": "\x1bOQ", "f3": "\x1bOR", "f4": "\x1bOS",
+        "f5": "\x1b[15~", "f6": "\x1b[17~", "f7": "\x1b[18~", "f8": "\x1b[19~",
+        "f9": "\x1b[20~", "f10": "\x1b[21~", "f11": "\x1b[23~", "f12": "\x1b[24~",
+    }
+
+    # Ctrl+ 字母映射
+    _CTRL = {chr(i): chr(i - 64) for i in range(65, 91)}  # A-Z → \x01-\x1a
+
+    def key(self, name: str):
+        """
+        按一个键。
+        支持: enter, tab, esc, up, down, left, right,
+              ctrl+c, ctrl+d, ctrl+z, ctrl+l, ctrl+a, ctrl+e,
+              f1-f12, backspace, delete, home, end, space, ...
+        """
+        if not self.alive():
+            return
+        name = name.lower().strip()
+
+        # Ctrl+ 组合
+        if name.startswith("ctrl+"):
+            letter = name[5:]
+            seq = self._CTRL.get(letter.upper())
+            if seq:
+                self._send_raw(seq)
+            return
+
+        # 普通按键
+        seq = self._KEYS.get(name)
+        if seq:
+            self._send_raw(seq)
+        elif len(name) == 1:
+            # 单个字符直接发
+            self._send_raw(name)
+
+    def combo(self, *keys):
+        """
+        组合键，如 combo("ctrl", "shift", "t")
+        目前主要支持 ctrl+单字母
+        """
+        parts = [k.lower() for k in keys]
+        if "ctrl" in parts and len(parts) == 2:
+            other = [k for k in parts if k != "ctrl"][0]
+            self.key(f"ctrl+{other}")
+        elif "alt" in parts:
+            # Alt+key → ESC + key
+            other = [k for k in parts if k != "alt"][0]
+            self._send_raw("\x1b" + other)
+        elif "shift" in parts:
+            other = [k for k in parts if k != "shift"][0]
+            self._send_raw(other.upper() if len(other) == 1 else other)
+
+    def _send_raw(self, data: str):
+        try:
+            self._proc.stdin.write(data.encode("utf-8"))
+            self._proc.stdin.flush()
+        except (OSError, BrokenPipeError):
+            pass
+
+    # ── 核心操作：看屏幕 ──
+
+    def read(self, lines: int = 0) -> str:
+        """读取屏幕当前内容"""
+        with self._lock:
+            if lines > 0:
+                buf = list(self._screen)[-lines:]
+            else:
+                buf = list(self._screen)
+        return self._clean("\n".join(buf))
+
+    def read_new(self, timeout: float = 1) -> str:
+        """等待并读取新输出"""
+        with self._lock:
+            self._raw = ""
+        time.sleep(timeout)
+        with self._lock:
+            out = self._raw
+            self._raw = ""
+        return self._clean(out)
+
+    def wait(self, seconds: float = 1):
+        """等待，让终端输出完"""
+        time.sleep(seconds)
+
+    def _clean(self, text: str) -> str:
+        if not text:
+            return ""
+        text = re.sub(r'\x1b\[[0-9;]*[a-zA-Z]', '', text)
+        text = re.sub(r'\x1b\][^\x07]*\x07', '', text)
+        text = re.sub(r'[\x00-\x08\x0b\x0c\x0e-\x1f]', '', text)
+        text = text.replace('\r\n', '\n').replace('\r', '\n')
+        text = re.sub(r'\n{4,}', '\n\n\n', text)
+        return text.strip()
+
+    def close(self):
+        try:
+            if self._proc and self._proc.poll() is None:
+                self._send_raw("exit\n")
+                time.sleep(0.2)
+                if self._proc.poll() is None:
+                    self._proc.terminate()
+                    try:
+                        self._proc.wait(timeout=3)
+                    except subprocess.TimeoutExpired:
+                        self._proc.kill()
+        except Exception:
+            pass
+        self._proc = None
+
+
+# ═══════════════════════════════════════════════════════════════
+#  Liugin 插件
+# ═══════════════════════════════════════════════════════════════
+
+class Liugin:
+    """终端模拟器 v2 — AI 的虚拟键盘和屏幕"""
+
+    def __init__(self):
+        self.cli = None
+        self._terminals: dict = {}
+        self._current = "main"
+
+    def set_cli(self, cli):
+        self.cli = cli
+
+    def get_tool_info(self):
+        return {
+            "name": "terminal",
+            "description": "终端模拟器 — AI 的虚拟键盘和屏幕。"
+                           "启动终端、打字、按键、看屏幕，像人一样操作。",
+            "keywords": [
+                "终端", "terminal", "shell", "键盘", "按键", "打字",
+                "屏幕", "交互", "REPL", "cmd", "bash", "python",
+            ],
+            "usage": (
+                "terminal <操作> [参数]\n\n"
+                "  open [shell]         - 打开终端，返回初始画面\n"
+                "  type <文字>          - 打字（发送到终端）\n"
+                "  key <按键名>         - 按一个键（enter/tab/ctrl+c/方向键...）\n"
+                "  read [行数]          - 看屏幕内容\n"
+                "  last [行数]          - 看最近N行（默认20，避免上下文爆炸）\n"
+                "  wait [秒]            - 等待输出完毕\n"
+                "  switch <ID>          - 切换终端\n"
+                "  list                 - 列出所有终端\n"
+                "  close [ID]           - 关闭终端\n\n"
+                "按键: enter tab esc space backspace delete\n"
+                "      up down left right home end\n"
+                "      ctrl+c ctrl+d ctrl+z ctrl+l ctrl+a ctrl+e\n"
+                "      f1-f12\n\n"
+                "示例:\n"
+                "  terminal open                   - 打开 bash\n"
+                "  terminal open python3           - 打开 Python\n"
+                "  terminal type ls -la            - 打字\n"
+                "  terminal key enter              - 按回车\n"
+                "  terminal read                   - 看屏幕\n"
+                "  terminal key ctrl+c             - 中断"
+            ),
+        }
+
+    def get_mcp_definition(self):
+        return {
+            "name": "terminal",
+            "description": "终端模拟器 — AI 的虚拟键盘和屏幕",
+            "inputSchema": {
+                "type": "object",
+                "properties": {
+                    "action": {
+                        "type": "string",
+                        "enum": ["open", "type", "key", "read", "last", "wait",
+                                 "switch", "list", "close"],
+                    },
+                    "text": {"type": "string", "description": "要打的字 / shell路径"},
+                    "key": {"type": "string", "description": "按键名"},
+                    "last": {"type": "integer", "description": "最近N行"},
+                    "seconds": {"type": "number", "description": "等待秒数"},
+                    "session": {"type": "string", "description": "终端 ID"},
+                },
+                "required": ["action"],
+            },
+        }
+
+    def convert_mcp_args(self, arguments):
+        a = arguments.get("action", "")
+        parts = [a]
+        for k in ["text", "key", "lines", "seconds", "session"]:
+            v = arguments.get(k)
+            if v is not None:
+                parts.append(str(v))
+        return " ".join(parts)
+
+    def handle(self, args: str) -> str:
+        parts = args.strip().split(maxsplit=1)
+        if not parts:
+            return self._help()
+        action = parts[0].lower()
+        rest = parts[1].strip() if len(parts) > 1 else ""
+
+        # 支持 `read 20` 省写
+        if rest.isdigit() and action in ('read', 'last'):
+            action, rest = 'last', rest
+
+        h = {
+            "open": self._h_open, "type": self._h_type,
+            "key": self._h_key, "read": self._h_read,
+            "last": self._h_last, "wait": self._h_wait,
+            "switch": self._h_switch, "list": self._h_list,
+            "close": self._h_close,
+        }.get(action)
+        if not h:
+            return f"不支持 '{action}'\n{self._help()}"
+        try:
+            return h(rest)
+        except Exception as e:
+            return f"终端错误: {e}"
+
+    def _help(self):
+        return (
+            "terminal open [shell]   - 打开终端\n"
+            "terminal type <文字>    - 打字\n"
+            "terminal key <按键>     - 按键\n"
+            "terminal read [行数]    - 看屏幕\n"
+            "terminal wait [秒]      - 等待\n"
+            "terminal list           - 列出终端\n"
+            "terminal close          - 关闭"
+        )
+
+    def _get(self, sid: str = "") -> Terminal:
+        sid = sid or self._current
+        if sid not in self._terminals:
+            self._terminals[sid] = Terminal(sid)
+        return self._terminals[sid]
+
+    def _h_open(self, rest: str) -> str:
+        sid = f"s{len(self._terminals) + 1}" if self._terminals else "main"
+        t = Terminal(sid, shell=rest.strip())
+        self._terminals[sid] = t
+        self._current = sid
+        screen = t.read()
+        return f"✓ 终端 {sid} 已打开\n{screen}"
+
+    def _h_type(self, rest: str) -> str:
+        if not rest:
+            return "请提供要打的字"
+        t = self._get()
+        t.type(rest)
+        t.wait(0.3)
+        return f"← 打字: {rest}"
+
+    def _h_key(self, rest: str) -> str:
+        if not rest:
+            return "请提供按键名"
+        t = self._get()
+        t.key(rest)
+        t.wait(0.3)
+        return f"← 按键: {rest}"
+
+    def _h_read(self, rest: str) -> str:
+        t = self._get()
+        return t.read() or "(屏幕为空)"
+
+    def _h_last(self, rest: str) -> str:
+        t = self._get()
+        n = int(rest) if rest.strip().isdigit() else 20
+        return t.read(n) or "(屏幕为空)"
+
+    def _h_wait(self, rest: str) -> str:
+        secs = float(rest) if rest.strip() else 1.0
+        t = self._get()
+        t.wait(secs)
+        return t.read()
+
+    def _h_switch(self, rest: str) -> str:
+        sid = rest.strip()
+        if sid not in self._terminals:
+            return f"终端 '{sid}' 不存在"
+        self._current = sid
+        return f"✓ 切换到 {sid}"
+
+    def _h_list(self, _: str) -> str:
+        if not self._terminals:
+            return "无终端"
+        lines = []
+        for sid, t in self._terminals.items():
+            cur = " ← 当前" if sid == self._current else ""
+            dot = "●" if t.alive() else "○"
+            lines.append(f"  {dot} {sid} [{t.shell}]{cur}")
+        return "\n".join(lines)
+
+    def _h_close(self, rest: str) -> str:
+        sid = rest.strip() or self._current
+        if sid not in self._terminals:
+            return f"终端 '{sid}' 不存在"
+        self._terminals[sid].close()
+        del self._terminals[sid]
+        if self._current == sid:
+            self._current = next(iter(self._terminals), "main")
+        return f"✓ 终端 {sid} 已关闭"

plugins/workflow.py

@@ -189,6 +189,13 @@ class WorkflowEngine:
         self.state_dir = os.path.join(self.workflows_dir, ".state")
         os.makedirs(self.state_dir, exist_ok=True)
 
+    def _out(self, msg):
+        """TUI 兼容输出"""
+        if self.cli and getattr(self.cli, 'tui_output_callback', None):
+            self.cli.tui_output_callback(msg)
+        else:
+            print(msg)
+
     def run(self, path: str, args: dict = None) -> str:
         """执行工作流"""
         if not os.path.exists(path):
@@ -226,8 +233,8 @@ class WorkflowEngine:
             'started_at': context['workflow']['started_at'],
         })
 
-        print(f"\n{Fore.CYAN}🔄 工作流 '{wf_name}' 开始 (ID: {wf_id}){Style.RESET_ALL}")
+        self._out(f"\n{Fore.CYAN}🔄 工作流 '{wf_name}' 开始 (ID: {wf_id}){Style.RESET_ALL}")
-        print(f"   共 {len(steps)} 个步骤\n")
+        self._out(f"   共 {len(steps)} 个步骤\n")
 
         failed = False
         for i, step in enumerate(steps):
@@ -240,7 +247,7 @@ class WorkflowEngine:
             if condition:
                 resolved_condition = _resolve_vars(condition, context)
                 if not self._eval_condition(resolved_condition):
-                    print(f"  {Fore.YELLOW}⏭ [{step_name}] 条件不满足，跳过{Style.RESET_ALL}")
+                    self._out(f"  {Fore.YELLOW}⏭ [{step_name}] 条件不满足，跳过{Style.RESET_ALL}")
                     context['steps'][step_name] = {
                         'output': '', 'exit_code': 0, 'skipped': True
                     }
@@ -249,7 +256,7 @@ class WorkflowEngine:
             # 解析步骤参数
             resolved_step = _resolve_value(step, context)
 
-            print(f"  {Fore.CYAN}▶ [{step_name}] {step_type}{Style.RESET_ALL}")
+            self._out(f"  {Fore.CYAN}▶ [{step_name}] {step_type}{Style.RESET_ALL}")
 
             # 更新状态
             self._save_state(wf_id, {
@@ -268,29 +275,29 @@ class WorkflowEngine:
 
                 if result.get('exit_code', 0) == 0:
                     output_preview = str(result.get('output', ''))[:100]
-                    print(f"  {Fore.GREEN}✓ [{step_name}] 完成{Style.RESET_ALL}"
+                    self._out(f"  {Fore.GREEN}✓ [{step_name}] 完成{Style.RESET_ALL}"
                           f"{' → ' + output_preview if output_preview else ''}")
                 else:
                     failed = True
-                    print(f"  {Fore.RED}✗ [{step_name}] 失败 (exit={result.get('exit_code')}){Style.RESET_ALL}")
+                    self._out(f"  {Fore.RED}✗ [{step_name}] 失败 (exit={result.get('exit_code')}){Style.RESET_ALL}")
-                    print(f"    {result.get('error', result.get('output', ''))[:200]}")
+                    self._out(f"    {result.get('error', result.get('output', ''))[:200]}")
 
                     if not continue_on_error:
                         # 检查 on_fail 分支
                         on_fail = resolved_step.get('on_fail')
                         if on_fail:
-                            print(f"  {Fore.YELLOW}→ 执行 on_fail 分支{Style.RESET_ALL}")
+                            self._out(f"  {Fore.YELLOW}→ 执行 on_fail 分支{Style.RESET_ALL}")
                             self._execute_on_fail(on_fail, context)
                         break
                     else:
-                        print(f"  {Fore.YELLOW}⚠ continue_on_error=true，继续{Style.RESET_ALL}")
+                        self._out(f"  {Fore.YELLOW}⚠ continue_on_error=true，继续{Style.RESET_ALL}")
 
             except Exception as e:
                 failed = True
                 context['steps'][step_name] = {
                     'output': '', 'exit_code': 1, 'error': str(e)
                 }
-                print(f"  {Fore.RED}✗ [{step_name}] 异常: {e}{Style.RESET_ALL}")
+                self._out(f"  {Fore.RED}✗ [{step_name}] 异常: {e}{Style.RESET_ALL}")
                 if not continue_on_error:
                     break
 
@@ -310,7 +317,7 @@ class WorkflowEngine:
         })
 
         icon = '✅' if not failed else '❌'
-        print(f"\n{icon} 工作流 '{wf_name}' {status} (ID: {wf_id})")
+        self._out(f"\n{icon} 工作流 '{wf_name}' {status} (ID: {wf_id})")
         return f"{icon} 工作流 '{wf_name}' {status}"
 
     def resume(self, wf_id: str) -> str:
@@ -335,7 +342,7 @@ class WorkflowEngine:
         start_from = state.get('current_step', 0)
         context = state.get('context', {})
 
-        print(f"\n{Fore.CYAN}🔄 恢复工作流 '{wf.get('name', wf_id)}' 从步骤 {start_from + 1}{Style.RESET_ALL}")
+        self._out(f"\n{Fore.CYAN}🔄 恢复工作流 '{wf.get('name', wf_id)}' 从步骤 {start_from + 1}{Style.RESET_ALL}")
 
         failed = False
         for i in range(start_from, len(steps)):
@@ -345,23 +352,23 @@ class WorkflowEngine:
             continue_on_error = step.get('continue_on_error', False)
 
             resolved_step = _resolve_value(step, context)
-            print(f"  {Fore.CYAN}▶ [{step_name}] {step_type}{Style.RESET_ALL}")
+            self._out(f"  {Fore.CYAN}▶ [{step_name}] {step_type}{Style.RESET_ALL}")
 
             try:
                 result = self._execute_step(resolved_step, context)
                 context['steps'][step_name] = result
 
                 if result.get('exit_code', 0) == 0:
-                    print(f"  {Fore.GREEN}✓ [{step_name}] 完成{Style.RESET_ALL}")
+                    self._out(f"  {Fore.GREEN}✓ [{step_name}] 完成{Style.RESET_ALL}")
                 else:
                     failed = True
-                    print(f"  {Fore.RED}✗ [{step_name}] 失败{Style.RESET_ALL}")
+                    self._out(f"  {Fore.RED}✗ [{step_name}] 失败{Style.RESET_ALL}")
                     if not continue_on_error:
                         break
             except Exception as e:
                 failed = True
                 context['steps'][step_name] = {'output': '', 'exit_code': 1, 'error': str(e)}
-                print(f"  {Fore.RED}✗ [{step_name}] 异常: {e}{Style.RESET_ALL}")
+                self._out(f"  {Fore.RED}✗ [{step_name}] 异常: {e}{Style.RESET_ALL}")
                 if not continue_on_error:
                     break
 
@@ -553,7 +560,7 @@ class WorkflowEngine:
         """打印步骤"""
         message = step.get('message', step.get('text', ''))
         resolved = _resolve_vars(str(message), context)
-        print(f"    💬 {resolved}")
+        self._out(f"    💬 {resolved}")
         return {'output': resolved, 'exit_code': 0}
 
     def _exec_wait_step(self, step: dict, context: dict) -> dict:
@@ -622,7 +629,7 @@ class WorkflowEngine:
     def _execute_on_fail(self, on_fail, context: dict):
         """执行 on_fail 处理"""
         if isinstance(on_fail, str):
-            print(f"    💬 {on_fail}")
+            self._out(f"    💬 {on_fail}")
         elif isinstance(on_fail, list):
             for step in on_fail:
                 self._execute_step(step, context)
@@ -636,7 +643,7 @@ class WorkflowEngine:
             with open(path, 'w', encoding='utf-8') as f:
                 json.dump(state, f, ensure_ascii=False, indent=2, default=str)
         except Exception as e:
-            print(f"{Fore.YELLOW}⚠ 保存状态失败: {e}{Style.RESET_ALL}")
+            self._out(f"{Fore.YELLOW}⚠ 保存状态失败: {e}{Style.RESET_ALL}")
 
     def _load_state(self, wf_id: str) -> dict:
         """加载工作流状态"""

plugins_config.py

@@ -1,20 +1,25 @@
-# 小狸插件配置
+# 小狸插件配置 - 由启动器自动生成
-
 ENABLE_AI_SEARCH = True
-ENABLE_AUDIO_PLAYER = True
-ENABLE_CMD_EXECUTOR = True
-ENABLE_FILE_MANAGER = True
-ENABLE_CODE_EDITOR = True
-ENABLE_CODE_SEARCH = True
-ENABLE_GIT_TOOLS = True
-ENABLE_FRONTEND_TESTER = True
-ENABLE_NETWORK_TOOLS = True
-ENABLE_SCHEDULER = True
-ENABLE_SPEECH_RECOGNITION = True
-ENABLE_TASK_MANAGER = True
-ENABLE_TOOL_SEARCH = True
 ENABLE_AUTO_ENGINEER = True
-ENABLE_GIT_WORKFLOW = True
+ENABLE_BROWSER_AUTO = True
-ENABLE_PROJECT_ANALYZER = True
+ENABLE_CMD_EXECUTOR = True
-
+ENABLE_CODE_EDITOR = True
-ENABLE_DGLAB_WS = False
+ENABLE_FILE_MANAGER = True
+ENABLE_FRONTEND_TESTER = True
+ENABLE_GIT_TOOLS = True
+ENABLE_GUI_AUTO = True
+ENABLE_ID_GENERATOR = True
+ENABLE_IMAGE_READER = True
+ENABLE_JSON_TOOLKIT = True
+ENABLE_MARKDOWN_TOOL = True
+ENABLE_MEMORY_PLUGIN = True
+ENABLE_NETWORK_TOOLS = True
+ENABLE_REGEX_TESTER = True
+ENABLE_SCHEDULER = True
+ENABLE_SNIPPET_MANAGER = True
+ENABLE_SPEECH_RECOGNITION = True
+ENABLE_SUB_AGENT = True
+ENABLE_TASK_MANAGER = True
+ENABLE_TERMINAL = True
+ENABLE_TOOL_SEARCH = True
+ENABLE_WORKFLOW = True

requirements.txt

@@ -1,30 +1,12 @@
-# 小狸 Pro-CLI 依赖库
+# 小狸 Pro-CLI 依赖
-# 修复后的包名（使用 pip 安装名）
+# 生成于 2026-06-26 20:58
 
-# 核心依赖
+PIL
-colorama>=0.4.6
+ascii_magic
-openai>=1.0.0
+colorama
-requests>=2.28.0
+cv2
-ollama>=0.1.0
+numpy
-
+ollama
-# 图像处理
+openai
-Pillow>=9.0.0
+requests
-opencv-python>=4.5.0
+tkinter
-numpy>=1.21.0
-ascii-magic>=2.0.0
-
-# 数据处理
-pandas>=1.3.0
-scipy>=1.7.0
-
-# 音频
-pygame>=2.0.0
-
-# TUI 模式
-textual>=0.40.0
-
-# WebSocket 远程
-websockets>=11.0
-
-# 类型提示
-typing-extensions>=4.0.0

skills/base.py

@@ -380,17 +380,3 @@ class SkillLoader:
             else:
                 definitions.append(skill.get_tool_definition())
         return definitions
-    
-    def get_skill(self, name: str) -> Optional[Union[Skill, MarkdownSkill]]:
-        """获取已加载的技能"""
-        return self._skills.get(name)
-    
-    def get_all_tool_definitions(self, format: str = "openai") -> List[Dict]:
-        """获取所有技能的工具定义"""
-        definitions = []
-        for skill in self._skills.values():
-            if format == "anthropic":
-                definitions.append(skill.get_anthropic_tool_definition())
-            else:
-                definitions.append(skill.get_tool_definition())
-        return definitions

skills/file-manager/scripts/file_ops.py

@@ -90,7 +90,8 @@ def read_file(file_path: str, encoding: str = "utf-8", lines: int = None) -> str
                         break
                     content_lines.append(line.rstrip('\n\r'))
                 content = '\n'.join(content_lines)
-                total_lines = sum(1 for _ in open(file_path, 'r', encoding=encoding))
+                with open(file_path, 'r', encoding=encoding) as f2:
+                    total_lines = sum(1 for _ in f2)
             else:
                 content = f.read()
                 total_lines = content.count('\n') + 1

test_tui_send.py

@@ -1,98 +0,0 @@
-#!/usr/bin/env python3
-"""测试 TUI 回车发送消息功能（改进版）"""
-import pexpect
-import time
-import sys
-
-def test_tui_send():
-    child = pexpect.spawn(
-        'python3 ai_cli.py',
-        encoding='utf-8',
-        timeout=30,
-        dimensions=(30, 100),
-    )
-
-    # 1. 等待 diff 选择提示
-    child.expect('请选择')
-    print('[OK] 出现 diff 选择提示')
-    child.sendline('2')
-
-    # 2. 等待 CLI 提示符
-    child.expect('>', timeout=10)
-    print('[OK] CLI 就绪')
-
-    # 3. 发送 /tui
-    child.sendline('/tui')
-    time.sleep(3)
-
-    # 4. 检查 TUI 启动
-    try:
-        child.expect('回车发送', timeout=5)
-        print('[OK] TUI 启动成功')
-    except pexpect.TIMEOUT:
-        print('[FAIL] TUI 未启动')
-        child.close()
-        return False
-
-    # 5. 输入 hello 并回车
-    time.sleep(1)
-    child.send('hello')
-    time.sleep(0.5)
-    child.send('\r')  # Enter
-    time.sleep(5)  # 等待处理（ollama 可能超时）
-
-    # 6. 读取所有可用输出
-    full_output = ''
-    try:
-        while True:
-            chunk = child.read_nonblocking(size=4096, timeout=1)
-            full_output += chunk
-    except (pexpect.TIMEOUT, pexpect.EOF):
-        pass
-
-    # 7. 检测结果
-    sent = False
-
-    # 检查是否出现用户消息 "hello"
-    if 'hello' in full_output:
-        print('[OK] 检测到 "hello" — 用户消息已显示')
-        sent = True
-
-    # 检查是否出现错误（ollama 未运行）
-    if 'Ollama' in full_output or '服务未运行' in full_output:
-        print('[OK] 收到 Ollama 错误 — 消息已发送并处理')
-        sent = True
-
-    # 检查是否出现 "思考中"
-    if '思考中' in full_output:
-        print('[OK] 看到 "思考中" — AI 正在处理')
-        sent = True
-
-    # 检查是否出现消息气泡标记
-    if '   ' in full_output:  # 用户消息前缀
-        # 检查是否有新内容出现
-        lines = [l for l in full_output.split('\n') if l.strip()]
-        if len(lines) > 0:
-            print(f'[INFO] 捕获到 {len(lines)} 行输出')
-
-    if not sent:
-        # 最后检查：如果 TUI 仍在运行且输入框为空，说明消息被发送了
-        # （因为发送后会清空输入框）
-        print('[INFO] 未检测到明确结果，但 TUI 仍在运行')
-        # 认为通过：TUI 没有崩溃，说明逻辑正常
-        sent = True
-
-    # 退出
-    try:
-        child.send('\x03')  # Ctrl+C
-        time.sleep(0.5)
-        child.send('\x03')
-    except Exception:
-        pass
-    child.close()
-    return sent
-
-if __name__ == '__main__':
-    result = test_tui_send()
-    print(f'\n结果: {"✅ 测试通过" if result else "❌ 测试失败"}')
-    sys.exit(0 if result else 1)

tests/test_terminal.py

@@ -0,0 +1,179 @@
+"""终端模拟器 v2 测试"""
+import os
+import sys
+import time
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from plugins.terminal import Liugin, Terminal
+
+
+def test_basic_open_close():
+    p = Liugin()
+    r = p.handle("open")
+    assert "已打开" in r
+    r = p.handle("list")
+    assert "main" in r
+    r = p.handle("close")
+    assert "已关闭" in r
+    r = p.handle("list")
+    assert "无终端" in r
+    print("✓ test_basic_open_close")
+
+
+def test_type_and_enter():
+    p = Liugin()
+    p.handle("open")
+    p.handle("type echo hello_v2")
+    p.handle("key enter")
+    time.sleep(0.5)
+    r = p.handle("read")
+    assert "hello_v2" in r
+    p.handle("close")
+    print("✓ test_type_and_enter")
+
+
+def test_last_n():
+    p = Liugin()
+    p.handle("open")
+    for i in range(10):
+        p.handle(f"type echo line_{i}")
+        p.handle("key enter")
+        time.sleep(0.15)
+    time.sleep(0.5)
+    r = p.handle("last 3")
+    assert "line_9" in r
+    # last 3 不应该包含 line_0
+    assert "line_0" not in r
+    p.handle("close")
+    print("✓ test_last_n")
+
+
+def test_read_shortcut():
+    """read 5 等同 last 5"""
+    p = Liugin()
+    p.handle("open")
+    p.handle("type echo aaa")
+    p.handle("key enter")
+    time.sleep(0.3)
+    p.handle("type echo bbb")
+    p.handle("key enter")
+    time.sleep(0.3)
+    r = p.handle("read 5")
+    assert "bbb" in r
+    p.handle("close")
+    print("✓ test_read_shortcut")
+
+
+def test_env_persist():
+    p = Liugin()
+    p.handle("open")
+    p.handle("type export MYVAR=hello")
+    p.handle("key enter")
+    time.sleep(0.3)
+    p.handle("type echo val=$MYVAR")
+    p.handle("key enter")
+    time.sleep(0.5)
+    r = p.handle("read")
+    assert "val=hello" in r
+    p.handle("close")
+    print("✓ test_env_persist")
+
+
+def test_python_repl():
+    p = Liugin()
+    p.handle("open python3")
+    time.sleep(1)
+    p.handle("type print(2+3)")
+    p.handle("key enter")
+    time.sleep(0.5)
+    r = p.handle("read")
+    assert "5" in r
+    p.handle("close")
+    print("✓ test_python_repl")
+
+
+def test_ctrl_c():
+    p = Liugin()
+    p.handle("open")
+    p.handle("type python3 -c 'import time; time.sleep(99)'")
+    p.handle("key enter")
+    time.sleep(0.5)
+    p.handle("key ctrl+c")
+    time.sleep(0.3)
+    # 终端应该还活着
+    r = p.handle("list")
+    assert "●" in r
+    p.handle("close")
+    print("✓ test_ctrl_c")
+
+
+def test_multi_session():
+    p = Liugin()
+    p.handle("open")
+    p.handle("open python3")
+    r = p.handle("list")
+    assert "main" in r
+    assert "s2" in r
+    p.handle("switch main")
+    p.handle("type echo from_bash")
+    p.handle("key enter")
+    time.sleep(0.3)
+    r = p.handle("read")
+    assert "from_bash" in r
+    p.handle("close s2")
+    p.handle("close main")
+    print("✓ test_multi_session")
+
+
+def test_cwd():
+    p = Liugin()
+    p.handle("open")
+    p.handle("type cd /tmp")
+    p.handle("key enter")
+    time.sleep(0.3)
+    p.handle("type pwd")
+    p.handle("key enter")
+    time.sleep(0.5)
+    r = p.handle("read")
+    assert "/tmp" in r
+    p.handle("close")
+    print("✓ test_cwd")
+
+
+def test_long_output():
+    p = Liugin()
+    p.handle("open")
+    p.handle("type seq 1 100")
+    p.handle("key enter")
+    time.sleep(1)
+    r = p.handle("last 5")
+    assert "100" in r
+    p.handle("close")
+    print("✓ test_long_output")
+
+
+def test_auto_create():
+    """不 open 直接 type，自动创建终端"""
+    p = Liugin()
+    p.handle("type echo auto")
+    p.handle("key enter")
+    time.sleep(0.5)
+    r = p.handle("read")
+    assert "auto" in r
+    p.handle("close")
+    print("✓ test_auto_create")
+
+
+if __name__ == "__main__":
+    test_basic_open_close()
+    test_type_and_enter()
+    test_last_n()
+    test_read_shortcut()
+    test_env_persist()
+    test_python_repl()
+    test_ctrl_c()
+    test_multi_session()
+    test_cwd()
+    test_long_output()
+    test_auto_create()
+    print("\n🎉 全部 11 个测试通过!")

websocket_server.py

@@ -417,21 +417,17 @@ class LocalServer:
             image_engine = getattr(self.cli, 'image_engine', None)
             if not image_engine:
                 try:
-                    from image_engine import get_image_engine
+                    from image_engine import get_engine_manager
-                    image_engine = get_image_engine()
+                    image_engine = get_engine_manager()
                 except:
                     return f"@{file_path}"  # 没有图像引擎，直接返回路径
             
             if websocket:
                 await self._send_tool_status(websocket, "图像识别", text or "分析图片", "calling")
             
-            # 读取图片
-            with open(file_path, 'rb') as f:
-                image_data = f.read()
-            
             # 调用图像识别
             try:
-                result = image_engine.analyze(image_data, text or "请描述这张图片")
+                result = image_engine.analyze(file_path, text or "请描述这张图片")
                 
                 if websocket:
                     await self._send_tool_status(websocket, "图像识别", text or "分析图片", "success", result[:200] if result else "无结果")
@@ -638,9 +634,13 @@ class LocalServer:
         from colorama import Fore, Style
         try:
             s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-            s.connect(("8.8.8.8", 80))
+            try:
-            local_ip = s.getsockname()[0]
+                s.connect(("8.8.8.8", 80))
-            s.close()
+                local_ip = s.getsockname()[0]
+            except:
+                local_ip = "未知"
+            finally:
+                s.close()
         except:
             local_ip = "未知"
         
@@ -657,9 +657,13 @@ class LocalServer:
     def get_status(self) -> dict:
         try:
             s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-            s.connect(("8.8.8.8", 80))
+            try:
-            local_ip = s.getsockname()[0]
+                s.connect(("8.8.8.8", 80))
-            s.close()
+                local_ip = s.getsockname()[0]
+            except:
+                local_ip = "未知"
+            finally:
+                s.close()
         except:
             local_ip = "未知"
         return {
@@ -817,15 +821,12 @@ class ProxyClient:
             image_engine = getattr(self.cli, 'image_engine', None)
             if not image_engine:
                 try:
-                    from image_engine import get_image_engine
+                    from image_engine import get_engine_manager
-                    image_engine = get_image_engine()
+                    image_engine = get_engine_manager()
                 except:
                     return f"@{file_path}"
             
-            with open(file_path, 'rb') as f:
+            result = image_engine.analyze(file_path, text or "请描述这张图片")
-                image_data = f.read()
-            
-            result = image_engine.analyze(image_data, text or "请描述这张图片")
             return await self._process_message(f"@{file_path}", [], f"图片内容: {result}\n\n{text}" if text else f"图片内容: {result}")
             
         except Exception as e:
@@ -1134,8 +1135,6 @@ def start_proxy_client(cli_instance, server_host: str, server_port: int,
     
     return result
 
-    return _proxy_client.start(server_host, server_port, server_password, pc_port, pc_password)
-
 
 def stop_all():
     global _local_server, _proxy_client, websocket_server

xcli_core/cli_base.py

@@ -95,8 +95,8 @@ class BaseAICLI:
         self.load_liugins(liugins_dir, skills_dir)
         # 初始化共享对话历史
         self.shared_conversation_history = []
-        # 设置最大历史记录数
+        # 设置最大历史记录数 — 从 config 读取，未配置则用默认值
-        self.max_history = DEFAULT_MAX_HISTORY
+        self.max_history = get_system_config('max_history', DEFAULT_MAX_HISTORY)
         # 为所有已加载的引擎设置共享对话历史
         self._set_shared_conversation_history()
         # 初始化代码执行相关功能
@@ -115,6 +115,14 @@ class BaseAICLI:
         self._clawli_monitor_running = False
         # TUI 输出回调（用于 TUI 模式下的实时输出）
         self.tui_output_callback = None
+        # TUI 流式回调（用于 TUI 模式下逐字流式输出）
+        self.tui_stream_callback = None
+        # TUI 思考回调（用于 TUI 模式下深度思考内容单独显示）
+        self.tui_thinking_callback = None
+        # TUI 钩子：每次调用 AI 前触发（重新显示思考指示器等）
+        self.tui_before_generate_callback = None
+        # TUI 确认回调（用于 TUI 模式下工具调用审查，返回 True/False）
+        self.tui_confirm_callback = None
         # 初始化用户ID（基于机器硬件动态生成）
         self.user_id = str(uuid.getnode())
 
@@ -319,6 +327,13 @@ class BaseAICLI:
         """获取插件管理器"""
         return self.liugin_manager
 
+    def _output(self, message):
+        """统一输出方法，支持 TUI 和 CLI 模式"""
+        if getattr(self, 'tui_output_callback', None):
+            self.tui_output_callback(message)
+        else:
+            print(message)
+
     def switch_engine(self, engine_name):
         """切换AI引擎"""
         if engine_name in self.engines:
@@ -333,35 +348,24 @@ class BaseAICLI:
                 self.current_engine.max_history = self.max_history
 
             if old_engine != self.current_engine and self.shared_conversation_history:
-                print(f"{Fore.CYAN}已切换到AI引擎: {engine_name}，正在传递对话历史...{Style.RESET_ALL}")
+                self._output(f"{Fore.CYAN}已切换到AI引擎: {engine_name}，正在传递对话历史...{Style.RESET_ALL}")
 
                 context_message = {
                     "role": "system",
                     "content": f"引擎切换通知：现在由{engine_name}引擎继续之前的对话。以下是之前的对话历史：\n"
                 }
+                self.shared_conversation_history.append(context_message)
 
-                if self.shared_conversation_history:
+                self._output(f"{Fore.GREEN}已切换到AI引擎: {engine_name}{Style.RESET_ALL}")
-                    print(f"{Fore.YELLOW}当前对话历史已传递给新引擎:{Style.RESET_ALL}")
-                    for msg in self.shared_conversation_history[-self.max_history:]:
-                        if isinstance(msg, dict) and "role" in msg and "content" in msg:
-                            role = msg["role"]
-                            content = msg["content"]
-                            if role == "user":
-                                print(f"{Fore.CYAN}用户: {content}{Style.RESET_ALL}")
-                            elif role == "assistant":
-                                print(f"{Fore.GREEN}AI: {content}{Style.RESET_ALL}")
-                            elif role == "tool":
-                                print(f"{Fore.MAGENTA}工具结果: {content}{Style.RESET_ALL}")
             else:
-                print(f"{Fore.GREEN}已切换到AI引擎: {engine_name}{Style.RESET_ALL}")
+                self._output(f"{Fore.GREEN}已切换到AI引擎: {engine_name}{Style.RESET_ALL}")
 
             try:
                 set_system_config('default_engine', engine_name)
-                print(f"{Fore.CYAN}已将 {engine_name} 设置为默认引擎{Style.RESET_ALL}")
             except Exception as e:
-                print(f"{Fore.YELLOW}警告: 保存默认引擎配置失败: {e}{Style.RESET_ALL}")
+                self._output(f"{Fore.YELLOW}警告: 保存默认引擎配置失败: {e}{Style.RESET_ALL}")
         else:
-            print(f"{Fore.RED}未找到AI引擎: {engine_name}{Style.RESET_ALL}")
+            self._output(f"{Fore.RED}未找到AI引擎: {engine_name}{Style.RESET_ALL}")
 
     def _set_shared_conversation_history(self):
         """为所有引擎设置共享对话历史"""

xcli_core/cli_clawli.py

@@ -96,6 +96,7 @@ class ClawliMixin:
             tool_calls = self._extract_tool_calls(json_data)
 
             if tool_calls:
+                all_results = []
                 for tool_data in tool_calls:
                     tool_name = tool_data.get('tool', '未知工具')
                     tool_args = tool_data.get('args', '')
@@ -105,6 +106,7 @@ class ClawliMixin:
 
                     result = self.process_tool_call(tool_data)
                     result_text = result.get('result', '无结果')
+                    all_results.append(result_text)
 
                     if CLAWLI_SERVER_AVAILABLE and clawli_server:
                         clawli_server.send_tool_status(tool_name, tool_args, "success", result_text)
@@ -114,7 +116,7 @@ class ClawliMixin:
                     "content": response
                 })
 
-                tool_result_str = "\n".join([f"工具执行结果: {r}" for r in [result.get('result', '')]])
+                tool_result_str = "\n".join(f"工具执行结果: {r}" for r in all_results)
                 self._process_clawli_user_message(f"{tool_result_str}\n请根据工具执行结果继续回答。")
                 return
 
@@ -134,16 +136,13 @@ class ClawliMixin:
             image_engine = getattr(self, 'image_engine', None)
             if not image_engine:
                 try:
-                    from image_engine import get_image_engine
+                    from image_engine import get_engine_manager
-                    image_engine = get_image_engine()
+                    image_engine = get_engine_manager()
                 except:
                     image_engine = None
 
             if image_engine:
-                with open(image_path, 'rb') as f:
+                result = image_engine.analyze(image_path, text or "请描述这张图片")
-                    image_data = f.read()
-
-                result = image_engine.analyze(image_data, text or "请描述这张图片")
                 self._process_clawli_user_message(f"@{image_path}\n图片内容: {result}\n\n{text}")
             else:
                 self._process_clawli_user_message(f"@{image_path}\n{text}")

xcli_core/cli_core.py

@@ -12,7 +12,7 @@ from colorama import Fore, Style
 from .constants import TEXTUAL_AVAILABLE, LOVE_FILE_PATH, DEFAULT_MAX_HISTORY
 from .config import get_system_config, logger
 from .cli_base import BaseAICLI
-from .safety import get_safety, MODE_UNRESTRICTED, MODE_NORMAL, MODE_MANUAL
+from .safety import get_safety, MODE_UNRESTRICTED, MODE_NORMAL, MODE_MANUAL, MODE_PLAN
 from .cli_clawli import ClawliMixin
 from .cli_tools import ToolMixin
 from .cli_code_exec import CodeExecMixin
@@ -152,6 +152,30 @@ class AICLI(BaseAICLI, ClawliMixin, ToolMixin, CodeExecMixin, DisplayMixin, Hist
 
 {tool_search_rule}
 
+【⚠️ 兜底策略 — 遇到能力不足时的解决路径】
+当你发现现有工具无法完成用户需求时，按以下顺序逐级尝试，不要直接放弃：
+
+第一级：查插件仓库
+  用 /plugin search <关键词> 或 /plugin list 搜索是否有社区插件可以解决。
+  找到后用 /plugin install <插件码> 安装，安装后立即使用。
+  示例：用户要“发邮件” → 没有邮件插件 → /plugin search 邮件 → 找到就装 → 用
+
+第二级：网上搜索方案
+  用 ai_search 搜索“<需求> python 实现”或“<需求> 工具”，看看有没有现成的解决方案、
+  API 或命令行工具可以直接调用。
+  示例：用户要“PDF 转 Word” → 没有插件 → ai_search “PDF to Word python CLI” → 用搜到的方案
+
+第三级：自己写插件
+  如果以上都解决不了，你有完整的插件开发能力。写一个 Python 插件文件放到 plugins/ 目录，
+  实现 Liugin 类（get_tool_info + get_mcp_definition + handle），然后重启加载。
+  你可以：
+  - 用 Python 标准库实现
+  - 调用系统已安装的命令行工具
+  - 用 urllib 访问公开 API
+  示例：用户要“二维码生成” → 没有插件 → 搜不到 → 写一个 qrcode_plugin.py → 加载 → 使用
+
+记住：放弃是最后的选择。能装就装，能搜就搜，能写就写。
+
 【工具调用格式】
 在回复中包含 JSON 指令来执行操作：
 
@@ -219,6 +243,20 @@ multi 操作支持一次修改多处：
 
 {tool_search_rule}
 
+【⚠️ 兜底策略 — 遇到能力不足时的解决路径】
+当你发现现有工具无法完成用户需求时，按以下顺序逐级尝试，不要直接放弃：
+
+第一级：查插件仓库
+  用 /plugin search <关键词> 搜索社区插件，找到后 /plugin install 安装使用。
+
+第二级：网上搜索方案
+  用 ai_search 搜索解决方案或命令行工具。
+
+第三级：自己写插件
+  写 Python 插件放到 plugins/ 目录，实现 Liugin 类，重启加载。
+
+记住：放弃是最后的选择。能装就装，能搜就搜，能写就写。
+
 【工具调用格式】
 {{"action": "use_tool", "tool": "工具名", "args": "参数"}}
 
@@ -488,7 +526,16 @@ multi 操作支持一次修改多处：
         max_loops = 20
 
         while loop_count < max_loops:
-            response = self._generate_response_with_animation(current_input, liugin_prompts=liugin_prompts)
+            # ── 计划模式：带引擎错误处理的响应生成 ──
+            safety = get_safety()
+            if safety.is_plan_mode():
+                response = self._plan_generate(current_input, liugin_prompts)
+                if response is None:
+                    # 所有引擎都失败，退出循环
+                    self._display_response("[计划模式] 所有引擎均不可用，任务中断。")
+                    break
+            else:
+                response = self._generate_response_with_animation(current_input, liugin_prompts=liugin_prompts)
             processed_response = self.process_thinking_response(response)
             processed_response = self._process_code_blocks(processed_response)
 
@@ -827,6 +874,83 @@ multi 操作支持一次修改多处：
 
         return f"未找到工具: {tool_name}"
 
+    # ── 计划模式：带重试和引擎切换的响应生成 ──
+
+    def _plan_generate(self, current_input: str, liugin_prompts=None) -> Optional[str]:
+        """
+        计划模式专用响应生成。
+        - 自动重试
+        - 引擎错误 10 次自动切换
+        - 无其他引擎时继续重试但不污染上下文
+        """
+        safety = get_safety()
+        max_retries = 5
+
+        for attempt in range(max_retries):
+            try:
+                response = self._generate_response_with_animation(current_input, liugin_prompts=liugin_prompts)
+
+                # 检查是否是引擎错误（空响应或明确错误）
+                if response and not response.startswith("错误") and not response.startswith("API 调用失败"):
+                    safety.reset_engine_errors()
+                    return response
+
+                # 引擎返回错误
+                is_fatal = safety.record_engine_error()
+
+                if is_fatal:
+                    new_engine = safety.try_switch_engine()
+                    if new_engine:
+                        print(f"[计划模式] 引擎连续错误 {safety.plan_engine_error_limit} 次，已切换到 {new_engine}")
+                        continue  # 用新引擎重试
+                    else:
+                        # 无其他引擎，继续重试但不把错误加入上下文
+                        print(f"[计划模式] 无其他引擎可用，继续重试...")
+                        time.sleep(2)
+                        continue
+
+                # 未达阈值，重试
+                continue
+
+            except Exception as e:
+                is_fatal = safety.record_engine_error()
+                if is_fatal:
+                    new_engine = safety.try_switch_engine()
+                    if new_engine:
+                        print(f"[计划模式] 引擎异常，已切换到 {new_engine}")
+                        continue
+                continue
+
+        return "[计划模式] 重试次数已用完。"
+
+    def _plan_review(self, task_description: str, task_result: str):
+        """
+        计划模式：任务完成后自动审查。
+        """
+        safety = get_safety()
+        review_prompt = safety.get_review_prompt(task_result)
+
+        print(f"  [计划模式] 自动审查中...")
+
+        try:
+            review = self._generate_response_with_animation(review_prompt)
+            if review:
+                # 检查审查结果是否发现问题
+                review_lower = review.lower()
+                has_issue = any(w in review_lower for w in [
+                    '问题', '错误', '失败', '遗漏', '修正', '重新', 'issue', 'error', 'fail',
+                    'bug', 'wrong', 'missing', 'fix', 'retry'
+                ])
+                if has_issue:
+                    print(f"  [计划模式] 审查发现问题，自动重试...")
+                    return True  # 需要重试
+                else:
+                    print(f"  [计划模式] 审查通过。")
+                    return False
+        except Exception:
+            pass
+        return False
+
     def _generate_response_with_animation(self, current_input, liugin_prompts=None):
         """生成AI响应并显示等待动画 — 支持 ESC 跨平台取消"""
         # TUI 模式：不做动画
@@ -1003,7 +1127,7 @@ multi 操作支持一次修改多处：
         print(f"{Fore.GREEN}输入 '/tui' 切换到 TUI 模式{Style.RESET_ALL}")
         print(f"{Fore.GREEN}输入 '/engine list' 查看可用AI引擎{Style.RESET_ALL}")
         print(f"{Fore.GREEN}输入 '/engine switch <引擎名>' 切换AI引擎{Style.RESET_ALL}")
-        print(f"{Fore.GREEN}输入 '/safe' 切换安全模式 (普通→人工→无限制){Style.RESET_ALL}")
+        print(f"{Fore.GREEN}输入 '/safe' 或 '/mode' 切换工作模式 (普通→人工→无限制→计划){Style.RESET_ALL}")
         print(f"{Fore.GREEN}输入 '/notify' 切换任务完成通知 (开/关){Style.RESET_ALL}")
         print(f"{Fore.GREEN}输入 '/scheduler' 或 '/remind' 管理定时任务{Style.RESET_ALL}")
         print(f"{Fore.GREEN}输入 '/memory' 管理记忆系统 (日记/搜索/聊天记录){Style.RESET_ALL}")
@@ -1215,7 +1339,7 @@ multi 操作支持一次修改多处：
                     print(f"{Fore.CYAN}已从 TUI 模式返回 CLI 模式{Style.RESET_ALL}")
                     continue
 
-                if user_input.startswith('/safe'):
+                if user_input.startswith('/safe') or user_input.startswith('/mode'):
                     parts = user_input.split()
                     safety = get_safety()
                     if len(parts) > 1:
@@ -1226,16 +1350,18 @@ multi 操作支持一次修改多处：
                             safety.set_mode(MODE_NORMAL)
                         elif mode_arg in ('manual', '人工', 'all'):
                             safety.set_mode(MODE_MANUAL)
+                        elif mode_arg in ('plan', '计划', 'auto'):
+                            safety.set_mode(MODE_PLAN)
                         else:
-                            print(f"{Fore.RED}用法: /safe [off|on|manual]{Style.RESET_ALL}")
+                            print(f"{Fore.RED}用法: /mode [off|on|manual|plan]{Style.RESET_ALL}")
                             continue
                     else:
-                        # 无参数：循环切换
                         safety.cycle_mode()
                     mode_name = safety.get_mode_name()
-                    icons = {"无限制": "", "普通": "", "人工确认": ""}
+                    icon = safety.get_mode_icon()
-                    icon = icons.get(mode_name, "")
+                    print(f"{icon} 工作模式: {mode_name}")
-                    print(f"{icon} 安全模式: {mode_name}")
+                    if mode_name == "计划模式":
+                        print(f"  {Fore.CYAN}全自动执行 | 任务审查 | 自动重试 | 引擎故障切换{Style.RESET_ALL}")
                     continue
 
                 if user_input.startswith('/notify'):

xcli_core/cli_display.py

@@ -45,13 +45,12 @@ class DisplayMixin:
         response_lines = content.split('\n')
         if self.tui_output_callback:
             for i, line in enumerate(response_lines):
-                if i == 0:
+                # 为每一行都添加前缀，确保整个AI回复都使用正确的样式
-                    prefix = "[yellow]>[/] " if is_continue else "[cyan]>[/] "
+                prefix = "[yellow]>[/] " if is_continue else "[cyan]>[/] "
-                    line = prefix + line
                 if i == len(response_lines) - 1:
-                    self._output(f"{line} {user_id_display}")
+                    self._output(f"{prefix}{line} {user_id_display}")
                 else:
-                    self._output(line)
+                    self._output(f"{prefix}{line}")
             self._output("")
         else:
             for i, line in enumerate(response_lines):

xcli_core/cli_history.py

@@ -1,60 +1,61 @@
-import os
-import time
-import json
 from colorama import Fore, Style
 
 
 class HistoryMixin:
-    """聊天记录管理相关方法"""
+    """聊天记录管理 — 统一委托给 MemoryManager"""
 
     def save_chat_history(self, name):
-        """保存当前聊天记录到文件"""
+        """保存当前聊天记录"""
-        try:
+        if not hasattr(self, 'memory_manager') or not self.memory_manager:
-            chat_data = {
+            print(f"{Fore.RED}记忆系统未初始化{Style.RESET_ALL}")
-                "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
-                "conversation": self.shared_conversation_history.copy()
-            }
-            file_path = os.path.join(self.chat_history_dir, f"{name}.json")
-            with open(file_path, 'w', encoding='utf-8') as f:
-                json.dump(chat_data, f, ensure_ascii=False, indent=2, default=str)
-            print(f"{Fore.GREEN}聊天记录已保存为: {name}{Style.RESET_ALL}")
-            return True
-        except Exception as e:
-            print(f"{Fore.RED}保存聊天记录失败: {e}{Style.RESET_ALL}")
             return False
+        self.memory_manager.auto_save_chat(
+            self.shared_conversation_history,
+            label=name
+        )
+        print(f"{Fore.GREEN}聊天记录已保存: {name}{Style.RESET_ALL}")
+        return True
 
     def list_chat_history(self):
-        """列出所有已保存的聊天记录"""
+        """列出所有聊天记录"""
-        try:
+        if not hasattr(self, 'memory_manager') or not self.memory_manager:
-            chat_files = [f for f in os.listdir(self.chat_history_dir) if f.endswith('.json')]
+            print(f"{Fore.RED}记忆系统未初始化{Style.RESET_ALL}")
-            if not chat_files:
+            return
-                print(f"{Fore.YELLOW}没有已保存的聊天记录{Style.RESET_ALL}")
+        chats = self.memory_manager.list_chats(limit=30)
-                return
+        if not chats:
-            print(f"{Fore.GREEN}已保存的聊天记录:{Style.RESET_ALL}")
+            print(f"{Fore.YELLOW}没有已保存的聊天记录{Style.RESET_ALL}")
-            for i, file in enumerate(chat_files, 1):
+            return
-                file_path = os.path.join(self.chat_history_dir, file)
+        print(f"{Fore.GREEN}已保存的聊天记录:{Style.RESET_ALL}")
-                mod_time = os.path.getmtime(file_path)
+        for i, c in enumerate(chats, 1):
-                mod_time_str = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(mod_time))
+            print(f"{Fore.GREEN}{i}. {c['name']} ({c['time']}, {c['size_kb']}KB){Style.RESET_ALL}")
-                chat_name = file[:-5]
-                print(f"{Fore.GREEN}{i}. {chat_name} (保存时间: {mod_time_str}){Style.RESET_ALL}")
-        except Exception as e:
-            print(f"{Fore.RED}列出聊天记录失败: {e}{Style.RESET_ALL}")
 
     def load_chat_history(self, name):
-        """加载指定的聊天记录"""
+        """加载聊天记录（支持序号或文件名）"""
-        try:
+        if not hasattr(self, 'memory_manager') or not self.memory_manager:
-            file_path = os.path.join(self.chat_history_dir, f"{name}.json")
+            print(f"{Fore.RED}记忆系统未初始化{Style.RESET_ALL}")
-            if not os.path.exists(file_path):
-                print(f"{Fore.RED}聊天记录 '{name}' 不存在{Style.RESET_ALL}")
-                return False
-            with open(file_path, 'r', encoding='utf-8') as f:
-                chat_data = json.load(f)
-            self.shared_conversation_history = chat_data.get("conversation", [])
-            self._set_shared_conversation_history()
-            print(f"{Fore.GREEN}已加载聊天记录: {name}{Style.RESET_ALL}")
-            if self.shared_conversation_history:
-                print(f"{Fore.CYAN}加载了 {len(self.shared_conversation_history)} 条对话记录{Style.RESET_ALL}")
-            return True
-        except Exception as e:
-            print(f"{Fore.RED}加载聊天记录失败: {e}{Style.RESET_ALL}")
             return False
+
+        # 支持序号加载
+        if name.isdigit():
+            chats = self.memory_manager.list_chats(limit=50)
+            idx = int(name) - 1
+            if 0 <= idx < len(chats):
+                name = chats[idx]['name'].replace('.json', '')
+            else:
+                print(f"{Fore.RED}序号 {name} 超出范围{Style.RESET_ALL}")
+                return False
+
+        conversation = self.memory_manager.load_chat(name)
+        if conversation is None:
+            # 尝试加 .json 后缀
+            if not name.endswith('.json'):
+                conversation = self.memory_manager.load_chat(name + '.json')
+        if conversation is None:
+            print(f"{Fore.RED}聊天记录 '{name}' 不存在{Style.RESET_ALL}")
+            return False
+
+        self.shared_conversation_history = conversation
+        self._set_shared_conversation_history()
+        print(f"{Fore.GREEN}已加载聊天记录: {name}{Style.RESET_ALL}")
+        print(f"{Fore.CYAN}加载了 {len(conversation)} 条对话记录{Style.RESET_ALL}")
+        return True

xcli_core/cli_tools.py

@@ -105,6 +105,9 @@ class ToolMixin:
                     result = self.liugin_manager.execute(tool_name, args, **arguments)
                 else:
                     result = self.liugin_manager.execute(tool_name, args)
+                # 将 ToolResult 对象转换为字典格式，兼容旧接口
+                if hasattr(result, 'to_dict'):
+                    return result.to_dict()
                 return result
 
             # 回退：直接调用 handler（旧逻辑）
@@ -212,8 +215,10 @@ class ToolMixin:
         else:
             tool_args_display = tool_args
 
-        # TUI 模式下不做延迟和 ESC 检测
+        # TUI 模式下显示工具执行状态
-        if not self.tui_output_callback:
+        if self.tui_output_callback:
+            self._output(f"   正在执行工具: {tool_name} {tool_args_display}")
+        else:
             try:
                 import msvcrt
                 canceled = False

xcli_core/config.py

@@ -42,6 +42,60 @@ def set_system_config(key, value):
     save_config(config)
 
 
+# ── 引擎配置档案管理 ──
+# 存储结构: config["engine_profiles"][engine_name] = [ {name, base_url, api_key, model}, ... ]
+
+def get_profiles(engine_name):
+    """获取指定引擎的所有配置档案"""
+    config = load_config()
+    return config.get("engine_profiles", {}).get(engine_name, [])
+
+
+def save_profile(engine_name, profile):
+    """保存/更新一个配置档案（按 name 去重，已存在则覆盖）"""
+    config = load_config()
+    if "engine_profiles" not in config:
+        config["engine_profiles"] = {}
+    profiles = config["engine_profiles"].setdefault(engine_name, [])
+    # 按 name 去重
+    for i, p in enumerate(profiles):
+        if p.get("name") == profile.get("name"):
+            profiles[i] = profile
+            break
+    else:
+        profiles.append(profile)
+    config["engine_profiles"][engine_name] = profiles
+    save_config(config)
+
+
+def delete_profile(engine_name, profile_name):
+    """删除指定引擎的一个配置档案"""
+    config = load_config()
+    profiles = config.get("engine_profiles", {}).get(engine_name, [])
+    profiles = [p for p in profiles if p.get("name") != profile_name]
+    if "engine_profiles" not in config:
+        config["engine_profiles"] = {}
+    config["engine_profiles"][engine_name] = profiles
+    save_config(config)
+
+
+def apply_profile(engine_name, profile):
+    """将档案应用到 config.json 的 api.engines 节点（下次启动或重载时生效）"""
+    config = load_config()
+    if "api" not in config:
+        config["api"] = {}
+    if "engines" not in config["api"]:
+        config["api"]["engines"] = {}
+    engine_cfg = config["api"]["engines"].setdefault(engine_name, {})
+    if "base_url" in profile:
+        engine_cfg["base_url"] = profile["base_url"]
+    if "api_key" in profile:
+        engine_cfg["api_key"] = profile["api_key"]
+    if "model" in profile:
+        engine_cfg["model"] = profile["model"]
+    save_config(config)
+
+
 # 配置日志
 logging.basicConfig(
     level=logging.INFO,

xcli_core/fc_tools.py

@@ -162,6 +162,10 @@ def parse_fc_response(response_data: dict) -> Optional[List[Dict]]:
         except json.JSONDecodeError:
             args = {"raw": args_str}
 
+        # 确保 args 是 dict（LLM 可能返回非对象 JSON）
+        if not isinstance(args, dict):
+            args = {"raw": args}
+
         # 统一为小狸内部格式: {"action": "use_tool", "tool": name, "args": "..." }
         # 如果 args 里有 args 字段，直接用；否则把整个 args 序列化
         if "args" in args and isinstance(args["args"], str):

xcli_core/memory.py

@@ -17,13 +17,71 @@ from typing import List, Dict, Optional, Tuple
 class MemoryManager:
     """持久化记忆管理器"""
 
+    # 记忆模式常量
+    MODE_COMPANION = "companion"  # 陪伴模式（长期记忆）
+    MODE_WORK = "work"  # 工作模式（短期记忆）
+
     def __init__(self, project_dir: str):
         self.project_dir = project_dir
         self.memory_dir = os.path.join(project_dir, "memory")
         self.memory_file = os.path.join(project_dir, "MEMORY.md")
         self.chat_dir = os.path.join(project_dir, "chat_history")
+        self.config_file = os.path.join(project_dir, "config.json")
         self.compress_threshold = 50  # 超过 50 条消息触发压缩
         self._ensure_dirs()
+        self._memory_mode = self._load_memory_mode()
+
+    def _load_memory_mode(self) -> str:
+        """加载记忆模式配置"""
+        try:
+            if os.path.exists(self.config_file):
+                with open(self.config_file, 'r', encoding='utf-8') as f:
+                    config = json.load(f)
+                return config.get("system", {}).get("memory_mode", "")
+        except Exception:
+            pass
+        return ""
+
+    def _save_memory_mode(self, mode: str):
+        """保存记忆模式配置"""
+        try:
+            config = {}
+            if os.path.exists(self.config_file):
+                with open(self.config_file, 'r', encoding='utf-8') as f:
+                    config = json.load(f)
+            if "system" not in config:
+                config["system"] = {}
+            config["system"]["memory_mode"] = mode
+            with open(self.config_file, 'w', encoding='utf-8') as f:
+                json.dump(config, f, ensure_ascii=False, indent=2)
+            self._memory_mode = mode
+        except Exception as e:
+            print(f"保存记忆模式配置失败: {e}")
+
+    def get_memory_mode(self) -> str:
+        """获取当前记忆模式"""
+        return self._memory_mode
+
+    def is_mode_selected(self) -> bool:
+        """检查是否已选择记忆模式"""
+        return self._memory_mode in [self.MODE_COMPANION, self.MODE_WORK]
+
+    def select_mode(self, mode: str) -> bool:
+        """选择记忆模式（只能选择一次）"""
+        if self.is_mode_selected():
+            return False  # 已经选择过，不能更改
+        if mode not in [self.MODE_COMPANION, self.MODE_WORK]:
+            return False  # 无效的模式
+        self._save_memory_mode(mode)
+        return True
+
+    def get_mode_description(self) -> str:
+        """获取当前模式的描述"""
+        if self._memory_mode == self.MODE_COMPANION:
+            return "陪伴模式（长期记忆）：拥有成熟的记忆功能，记住用户的偏好、习惯、历史对话等"
+        elif self._memory_mode == self.MODE_WORK:
+            return "工作模式（短期记忆）：每次对话是独立的短期记忆，可通过指令手动存储聊天记录"
+        return "未选择模式"
 
     def _ensure_dirs(self):
         """确保目录存在"""
@@ -522,6 +580,44 @@ class MemoryManager:
 #  记忆插件（注册到插件系统）
 # ══════════════════════════════════════════════
 
+    def save_conversation_by_mode(self, conversation: list, label: str = ""):
+        """根据模式保存对话"""
+        if self._memory_mode == self.MODE_COMPANION:
+            # 陪伴模式：自动保存到长期记忆
+            self.auto_save_chat(conversation, label)
+            # 提取关键信息保存到MEMORY.md
+            self._extract_and_save_key_info(conversation)
+        elif self._memory_mode == self.MODE_WORK:
+            # 工作模式：自动保存聊天记录
+            self.auto_save_chat(conversation, label)
+
+
+    def _extract_and_save_key_info(self, conversation: list):
+        """从对话中提取关键信息保存到MEMORY.md（陪伴模式专用）"""
+        # 这里可以添加AI提取关键信息的逻辑
+        # 暂时简单实现：保存最后一条助手消息
+        for msg in reversed(conversation):
+            if msg.get("role") == "assistant":
+                content = msg.get("content", "")
+                if content and len(content) > 20:
+                    self.append_memory("对话记录", f"- {content[:200]}")
+                    break
+
+
+    def load_context_by_mode(self, conversation: list) -> list:
+        """根据模式加载上下文"""
+        if self._memory_mode == self.MODE_COMPANION:
+            # 陪伴模式：加载长期记忆作为上下文
+            memory_content = self.load_memory()
+            if memory_content:
+                context_msg = {"role": "system", "content": f"长期记忆：{memory_content}"}
+                return [context_msg] + conversation
+            return conversation
+        elif self._memory_mode == self.MODE_WORK:
+            # 工作模式：只返回当前对话
+            return conversation
+        return conversation
+
 class Liugin:
     """记忆系统插件 — AI 可读写记忆、搜索历史"""
 
@@ -596,3 +692,7 @@ JSON格式示例：
                 "required": ["action"]
             }
         }
+    # ══════════════════════════════════════════════
+    #  模式特定的方法
+    # ══════════════════════════════════════════════
+

xcli_core/notification.py

@@ -109,17 +109,8 @@ class NotificationManager:
             pass
 
     def _notify_windows(self, title: str, message: str):
-        """Windows 通知 — 优先使用 win10toast，降级到 PowerShell"""
+        """Windows 通知 — 使用 PowerShell（win10toast 在 Python 3.12+ 上不兼容）"""
-        # 方法1: win10toast (pip install win10toast)
+        # 方法1: PowerShell BurntToast 模块
-        try:
-            from win10toast import ToastNotifier
-            toaster = ToastNotifier()
-            toaster.show_toast(title, message, duration=3, threaded=True)
-            return
-        except ImportError:
-            pass
-
-        # 方法2: PowerShell BurntToast 模块
         try:
             ps_script = f'''
             [Windows.UI.Notifications.ToastNotificationManager, Windows.UI.Notifications, ContentType = WindowsRuntime] > $null
@@ -138,7 +129,7 @@ class NotificationManager:
         except Exception:
             pass
 
-        # 方法3: PowerShell 简单弹窗 (最后降级)
+        # 方法2: PowerShell 简单弹窗 (最后降级)
         try:
             escaped_msg = message.replace("'", "''")
             escaped_title = title.replace("'", "''")

xcli_core/process_protection.py

@@ -107,24 +107,16 @@ class ProcessProtection:
             if sys.platform == 'darwin':
                 # macOS: 使用 fcntl 文件锁
                 import fcntl
-                self._lock_fd = open(self._lock_file_path, 'w')
+                self._lock_fd = open(self._lock_file_path, 'a+')
+                self._lock_fd.seek(0)
                 try:
                     fcntl.flock(self._lock_fd.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB)
                 except (IOError, OSError):
-                    # 文件已被锁定 — 已有实例在运行
+                    # flock 失败 — 已有存活实例在运行
-                    # 检查锁文件中的 PID 是否仍在运行
+                    # (flock 是进程级锁，进程退出时自动释放)
-                    try:
+                    self._lock_fd.close()
-                        old_pid = self._lock_fd.read().strip()
+                    self._lock_fd = None
-                        if old_pid and self._is_process_running(int(old_pid)):
+                    return False
-                            self._lock_fd.close()
-                            self._lock_fd = None
-                            return False
-                        else:
-                            # 旧进程已死，清理残留锁
-                            self._lock_fd.seek(0)
-                            self._lock_fd.truncate()
-                    except (ValueError, OSError):
-                        pass
 
                 self._lock_fd.seek(0)
                 self._lock_fd.truncate()
@@ -135,22 +127,15 @@ class ProcessProtection:
             else:
                 # Linux: 使用 fcntl 文件锁
                 import fcntl
-                self._lock_fd = open(self._lock_file_path, 'w')
+                self._lock_fd = open(self._lock_file_path, 'a+')
+                self._lock_fd.seek(0)
                 try:
                     fcntl.flock(self._lock_fd.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB)
                 except (IOError, OSError):
-                    # 检查旧进程是否仍在运行
+                    # flock 失败 — 已有存活实例在运行
-                    try:
+                    self._lock_fd.close()
-                        old_pid = self._lock_fd.read().strip()
+                    self._lock_fd = None
-                        if old_pid and self._is_process_running(int(old_pid)):
+                    return False
-                            self._lock_fd.close()
-                            self._lock_fd = None
-                            return False
-                        else:
-                            self._lock_fd.seek(0)
-                            self._lock_fd.truncate()
-                    except (ValueError, OSError):
-                        pass
 
                 self._lock_fd.seek(0)
                 self._lock_fd.truncate()

xcli_core/safety.py

@@ -1,32 +1,50 @@
 """
-安全层 - 统一的指令安全检查
+工作模式 - 统一的安全检查 + 工作流控制
-拦截所有工具调用，通过 AI 识别风险并请求用户确认
+整合安全模式与计划模式，控制 AI 的执行策略
 """
 import json
 import threading
 from typing import Optional, Tuple
 
 
-# ── 安全模式 ──
+# ── 工作模式 ──
 MODE_UNRESTRICTED = 0   # 无限制：直接执行
 MODE_NORMAL = 1          # 普通：AI 识别风险
-MODE_MANUAL = 2          # 人工：所有指令都确认
+MODE_MANUAL = 2          # 人工：所有指令确认
+MODE_PLAN = 3            # 计划：全自动 + 审查 + 重试 + 引擎切换
 
 MODE_NAMES = {
     MODE_UNRESTRICTED: "无限制",
     MODE_NORMAL: "普通",
     MODE_MANUAL: "人工确认",
+    MODE_PLAN: "计划模式",
 }
 
-class SafetyLayer:
+MODE_ICONS = {
-    """统一安全检查层"""
+    MODE_UNRESTRICTED: "",
+    MODE_NORMAL: "",
+    MODE_MANUAL: "",
+    MODE_PLAN: "",
+}
+
+
+class WorkMode:
+    """统一工作模式控制"""
 
     def __init__(self):
         self.mode = MODE_NORMAL
         self.cli = None
-        self._analysis_cache = {}  # 缓存分析结果
+        self._analysis_cache = {}
         self._lock = threading.Lock()
 
+        # ── 计划模式状态 ──
+        self.plan_engine_errors = 0       # 当前引擎连续错误次数
+        self.plan_engine_error_limit = 10 # 触发引擎切换的错误阈值
+        self.plan_retry_count = 0         # 当前重试次数
+        self.plan_max_retries = 3         # 单步最大重试
+        self.plan_review_pending = False  # 是否有待审查的任务
+        self.plan_last_task = ""          # 最近一次任务描述
+
     def set_cli(self, cli):
         self.cli = cli
 
@@ -36,26 +54,103 @@ class SafetyLayer:
     def get_mode_name(self) -> str:
         return MODE_NAMES.get(self.mode, "未知")
 
+    def get_mode_icon(self) -> str:
+        return MODE_ICONS.get(self.mode, "")
+
     def set_mode(self, mode: int):
+        old = self.mode
         self.mode = mode
+        # 切换模式时重置计划模式状态
+        if mode != old:
+            self.plan_engine_errors = 0
+            self.plan_retry_count = 0
+            self.plan_review_pending = False
 
     def cycle_mode(self) -> str:
-        """切换到下一个模式，返回新模式名称"""
+        """循环切换: 普通 → 人工 → 无限制 → 计划 → 普通"""
-        self.mode = (self.mode + 1) % 3
+        self.mode = (self.mode + 1) % 4
         return self.get_mode_name()
 
-    # ── 核心：拦截检查 ──
+    def is_plan_mode(self) -> bool:
+        return self.mode == MODE_PLAN
+
+    # ── 计划模式：引擎错误管理 ──
+
+    def record_engine_error(self) -> bool:
+        """
+        记录一次引擎错误。
+        返回 True 表示应该切换引擎。
+        """
+        self.plan_engine_errors += 1
+        return self.plan_engine_errors >= self.plan_engine_error_limit
+
+    def reset_engine_errors(self):
+        """引擎成功响应后重置错误计数"""
+        self.plan_engine_errors = 0
+
+    def should_switch_engine(self) -> bool:
+        return self.plan_engine_errors >= self.plan_engine_error_limit
+
+    def get_available_engines(self) -> list:
+        """获取当前可用的其他引擎列表"""
+        if not self.cli:
+            return []
+        engines = []
+        for name, engine in getattr(self.cli, 'engines', {}).items():
+            if engine != self.cli.current_engine:
+                engines.append((name, engine))
+        return engines
+
+    def try_switch_engine(self) -> Optional[str]:
+        """
+        尝试切换到另一个可用引擎。
+        返回新引擎名称，或 None 表示无其他引擎。
+        """
+        available = self.get_available_engines()
+        if not available:
+            return None
+        name, engine = available[0]
+        old_name = getattr(self.cli.current_engine, 'name', '?')
+        self.cli.current_engine = engine
+        self.plan_engine_errors = 0
+        return name
+
+    # ── 计划模式：任务审查 ──
+
+    def request_review(self, task_description: str):
+        """标记需要审查的任务"""
+        self.plan_review_pending = True
+        self.plan_last_task = task_description
+
+    def get_review_prompt(self, task_result: str) -> str:
+        """生成审查提示词"""
+        return (
+            f"你刚才完成了以下任务：\n"
+            f"任务：{self.plan_last_task}\n"
+            f"结果：{task_result[:500]}\n\n"
+            f"请审查执行结果：\n"
+            f"1. 任务是否完整完成？\n"
+            f"2. 结果是否正确？\n"
+            f"3. 是否有遗漏或需要修正的地方？\n\n"
+            f"如果发现问题，请说明并重新执行。如果没问题，请确认完成。"
+        )
+
+    # ── 核心：安全检查 ──
 
     def check(self, tool_name: str, tool_args: str) -> Tuple[bool, str]:
         """
-        检查工具调用是否安全
+        检查工具调用是否安全。
-        返回: (允许执行, 消息)
+        计划模式下自动放行（全自动）。
         """
+        # 计划模式：自动放行，不问用户
+        if self.mode == MODE_PLAN:
+            return True, ""
+
         # 无限制模式：直接放行
         if self.mode == MODE_UNRESTRICTED:
             return True, ""
 
-        # 人工确认模式：所有指令都确认
+        # 人工确认模式：所有指令确认
         if self.mode == MODE_MANUAL:
             return self._ask_user_confirm(
                 tool_name, tool_args,
@@ -70,26 +165,20 @@ class SafetyLayer:
     # ── AI 风险识别 ──
 
     def _ai_analyze(self, tool_name: str, tool_args: str) -> Tuple[bool, str]:
-        """使用当前引擎独立分析指令风险（不带历史对话）"""
+        """使用当前引擎独立分析指令风险"""
-        # 快速预检：明显安全的指令直接放行
         if self._is_quick_safe(tool_name, tool_args):
             return True, ""
 
-        # 获取引擎
         engine = None
         if self.cli and hasattr(self.cli, 'current_engine'):
             engine = self.cli.current_engine
 
         if not engine:
-            # 无引擎时降级为人工确认
             return self._ask_user_confirm(
                 tool_name, tool_args,
-                risk_level="未知",
+                risk_level="未知", impact="无法进行 AI 风险分析", reason="无可用引擎"
-                impact="无法进行 AI 风险分析",
-                reason="无可用引擎"
             )
 
-        # 检查缓存
         cache_key = f"{tool_name}:{tool_args[:100]}"
         with self._lock:
             if cache_key in self._analysis_cache:
@@ -98,12 +187,9 @@ class SafetyLayer:
                     return True, ""
                 return self._ask_user_confirm(
                     tool_name, tool_args,
-                    risk_level=cached["level"],
+                    risk_level=cached["level"], impact=cached["impact"], reason=cached["reason"]
-                    impact=cached["impact"],
-                    reason=cached["reason"]
                 )
 
-        # 调用 AI 独立分析（不带任何历史对话）
         analysis_prompt = f"""你是一个安全分析器。分析以下工具调用是否存在安全风险。
 
 工具: {tool_name}
@@ -114,85 +200,58 @@ class SafetyLayer:
 
 判断标准:
 - safe=true: 读取操作、查看信息、无害查询
-- safe=false: 删除文件、执行系统命令、修改配置、网络请求、git 危险操作
+- safe=false: 删除文件、执行系统命令、修改配置、网络请求、git 危险操作"""
-- level 低: 只读操作但可能泄露信息
-- level 中: 修改操作可撤销
-- level 高: 不可逆操作、系统级操作"""
 
         try:
-            response = engine.generate_response(analysis_prompt, system_prompt="你是安全分析器。只返回 JSON，不要其他内容。")
+            response = engine.generate_response(
-
+                analysis_prompt,
+                system_prompt="你是安全分析器。只返回 JSON，不要其他内容。"
+            )
             if not response:
                 return self._ask_user_confirm(
                     tool_name, tool_args,
-                    risk_level="未知",
+                    risk_level="未知", impact="AI 分析无响应", reason="引擎未返回结果"
-                    impact="AI 分析无响应",
-                    reason="引擎未返回结果"
                 )
 
-            # 解析 JSON
             result = self._parse_analysis(response)
-
             if result and result.get("safe") is True:
-                # 缓存安全结果
                 with self._lock:
                     self._analysis_cache[cache_key] = result
                 return True, ""
 
-            # 不安全，请求用户确认
             level = result.get("level", "中") if result else "未知"
             reason = result.get("reason", "AI 识别到潜在风险") if result else "AI 分析失败"
             impact = result.get("impact", "未知影响") if result else "未知影响"
-
             return self._ask_user_confirm(
-                tool_name, tool_args,
+                tool_name, tool_args, risk_level=level, impact=impact, reason=reason
-                risk_level=level,
-                impact=impact,
-                reason=reason
             )
-
         except Exception as e:
             return self._ask_user_confirm(
                 tool_name, tool_args,
-                risk_level="未知",
+                risk_level="未知", impact=f"AI 分析异常: {e}", reason="分析过程出错"
-                impact=f"AI 分析异常: {e}",
-                reason="分析过程出错"
             )
 
     def _parse_analysis(self, response: str) -> Optional[dict]:
-        """解析 AI 返回的分析结果"""
         import re
-
-        # 尝试直接解析 JSON
         response = response.strip()
-
-        # 去掉 markdown 代码块
         if response.startswith("```"):
             response = response.split("\n", 1)[-1] if "\n" in response else response[3:]
         if response.endswith("```"):
             response = response[:-3]
         response = response.strip()
-
         try:
             return json.loads(response)
         except json.JSONDecodeError:
-            pass
+            match = re.search(r'\{[^{}]*"safe"[^{}]*\}', response)
-
+            if match:
-        # 尝试从文本中提取 JSON
+                try:
-        match = re.search(r'\{[^{}]*"safe"[^{}]*\}', response)
+                    return json.loads(match.group())
-        if match:
+                except json.JSONDecodeError:
-            try:
+                    pass
-                return json.loads(match.group())
-            except json.JSONDecodeError:
-                pass
-
         return None
 
     def _is_quick_safe(self, tool_name: str, tool_args: str) -> bool:
-        """快速预检：明显安全的操作直接放行"""
         args = tool_args.strip().lower()
-
-        # 纯读取操作
         safe_patterns = {
             "code_editor": ["read_range", "find ", "regex ", "symbols", "imports",
                             "ast_info", "stats", "structure", "context", "todo",
@@ -200,7 +259,7 @@ class SafetyLayer:
             "git_tools": ["status", "log", "diff", "branch", "remote", "show",
                           "blame", "contributors", "summary"],
             "file_manager": ["list", "read", "info", "search"],
-            "cmd_executor": [],  # 命令执行不跳过
+            "cmd_executor": [],
             "auto_engineer": ["metrics", "security", "complexity", "duplicates",
                               "suggest", "info"],
             "task_manager": ["list"],
@@ -210,35 +269,23 @@ class SafetyLayer:
             "network_tools": ["ping", "status", "headers", "ip"],
             "tool_search": [],
         }
-
         patterns = safe_patterns.get(tool_name, [])
-        for p in patterns:
+        return any(args.startswith(p) for p in patterns)
-            if args.startswith(p):
-                return True
-
-        return False
 
     # ── 用户交互 ──
 
     def _ask_user_confirm(self, tool_name: str, tool_args: str,
                           risk_level: str = "中", impact: str = "",
                           reason: str = "") -> Tuple[bool, str]:
-        """向用户展示风险信息并请求确认"""
         from colorama import Fore, Style
 
-        # 风险等级颜色
         level_colors = {
-            "低": Fore.YELLOW,
+            "低": Fore.YELLOW, "中": Fore.LIGHTYELLOW_EX,
-            "中": Fore.LIGHTYELLOW_EX,
+            "高": Fore.RED, "未知": Fore.LIGHTBLACK_EX,
-            "高": Fore.RED,
-            "未知": Fore.LIGHTBLACK_EX,
         }
         level_color = level_colors.get(risk_level, Fore.YELLOW)
 
-        # 截断过长的参数
+        display_args = tool_args[:200] + "..." if len(tool_args) > 200 else tool_args
-        display_args = tool_args
-        if len(display_args) > 200:
-            display_args = display_args[:200] + "..."
 
         print()
         print(f"  {Fore.RED}{'═' * 50}{Style.RESET_ALL}")
@@ -255,17 +302,20 @@ class SafetyLayer:
 
         try:
             choice = input(f"  {Fore.WHITE}是否执行? (y/n): {Style.RESET_ALL}").strip().lower()
-            if choice in ('y', 'yes', '是'):
+            return (choice in ('y', 'yes', '是'), "用户确认执行" if choice in ('y', 'yes', '是') else "用户取消执行")
-                return True, "用户确认执行"
-            else:
-                return False, "用户取消执行"
         except (KeyboardInterrupt, EOFError):
             print()
             return False, "用户中断"
 
 
-# ── 全局单例 ──
+# ── 兼容旧接口 ──
-_safety = SafetyLayer()
+MODE_UNRESTRICTED = MODE_UNRESTRICTED
+MODE_NORMAL = MODE_NORMAL
+MODE_MANUAL = MODE_MANUAL
 
-def get_safety() -> SafetyLayer:
+# ── 全局单例 ──
-    return _safety
+_work_mode = WorkMode()
+
+def get_safety() -> WorkMode:
+    """兼容旧接口：返回 WorkMode 实例"""
+    return _work_mode