CHANGELOG v6.0.0: 移除 operit_bridge 条目

- 删除 plugins/operit/ 目录（47 个 Operit 脚本）
- 删除 plugins/operit_bridge.py
- 删除 tests/test_operit_bridge.py
- plugins_config.py: 移除 ENABLE_OPERIT_BRIDGE
- plugin_registry.json: 移除 operit_bridge 注册
- README.md: 更新插件计数和项目结构
- CHANGELOG.md: 移除 operit 相关条目

CHANGELOG.md

@@ -1,5 +1,76 @@
 # 更新日志
 
+## 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
-- **发布版本**：发行版5.1.3
+- **发布版本**：发行版6.0
 
 **技术规格**  
 - **主要语言**：简体中文（UTF-8）  

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
@@ -395,8 +511,28 @@ OpenAI 兼容格式引擎帮助信息
             print(f"  base_url:      {self.base_url}")
             print(f"  model:         {self.model}")
             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"
       }
     }
   },

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/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/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/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/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/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/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_config.py

@@ -1,11 +1,10 @@
 # 小狸插件配置
 
+# ── 必备生产力 ──
 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
@@ -14,7 +13,15 @@ ENABLE_SPEECH_RECOGNITION = True
 ENABLE_TASK_MANAGER = True
 ENABLE_TOOL_SEARCH = True
 ENABLE_AUTO_ENGINEER = True
-ENABLE_GIT_WORKFLOW = True
+ENABLE_TERMINAL = True
-ENABLE_PROJECT_ANALYZER = True
+ENABLE_BROWSER_AUTO = True
-
+ENABLE_GUI_AUTO = True
-ENABLE_DGLAB_WS = False
+ENABLE_SUB_AGENT = True
+ENABLE_WORKFLOW = True
+ENABLE_MEMORY_PLUGIN = True
+ENABLE_JSON_TOOLKIT = True
+ENABLE_REGEX_TESTER = True
+ENABLE_SNIPPET_MANAGER = True
+ENABLE_MARKDOWN_TOOL = True
+ENABLE_ID_GENERATOR = True
+ENABLE_IMAGE_READER = True

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!")

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"}}
 
@@ -488,6 +526,15 @@ multi 操作支持一次修改多处：
         max_loops = 20
 
         while loop_count < max_loops:
+            # ── 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/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
-
-        # 尝试从文本中提取 JSON
             match = re.search(r'\{[^{}]*"safe"[^{}]*\}', response)
             if match:
                 try:
                     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