release: v6.1.0 - TUI 体验全面升级 + 背景自定义

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

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

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

CHANGELOG.md

@@ -1,5 +1,27 @@
 # 更新日志
 
+## v6.1.0 (2026-06-28)
+
+**TUI 体验全面升级 + 背景自定义**
+
+### TUI 界面改进
+
+- **全面中文化** — CommandPalette（命令搜索面板）子选项、placeholder、系统命令名全部汉化；HelpPanel 帮助页面、Footer、Chatbox 边框标题、错误前缀、辅助中心面板等所有用户可见英文汉化
+- **辅助中心**（Ctrl+P / F9）— 原"设置"页面重命名为"辅助中心"，含 6 项可切换设置（主题/引擎/历史/安全/预设背景/自定义背景）
+- **独立帮助浮层**（? 键）— 重写帮助页面逻辑，独立浮层替代原 Textual HelpPanel 侧边栏，全中文内容，带滑入淡入动画
+- **背景切换** — 辅助中心 [5] 切换 4 种预设背景色（墨黑/深蓝灰/深紫/深蓝），[6] 自定义背景；新增 `/bg` 命令支持用图片提取主色调作为背景
+- **换行修复** — Ctrl+J 作为主推换行键（Windows 终端不区分 Shift+Enter），同时保留 shift+enter/alt+enter 兼容
+- **引擎切换修复** — 解决 `call_from_thread` 在主线程崩溃的 RuntimeError，主线程直接调用，工作线程才走 call_from_thread
+
+### 技术改进
+
+- **文本工具调用解析** — 新增 `_handle_text_tool_call` 方法，检测模型在文本响应中用 `<tool_call>` 标签返回的工具调用（非标准 Function Calling API），解析并执行
+- **网络工具优化** — network_tools.py 和 ai_search.py 改进请求头、重试机制、编码处理
+- **流式输出修复** — Chatbox.append_chunk 和 ThinkingBox.append_chunk 的 refresh 改为 layout=True，修复流式只显示首行
+- **取消响应修复** — 引擎层增加 `_cancelled` 标志和 cancel() 方法，TUI 层跟踪 worker 身份，action_cancel 直接调用 _finish_cancel
+
+---
+
 ## v6.0.0 (2026-06-23)
 
 **重大更新：插件生态 + 深度思考 + 工作模式**

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6.0
+- **内部版本号**：20260628
+- **发布版本**：发行版6.1.0
 
 **技术规格**  
 - **主要语言**：简体中文（UTF-8）  

ai_engines/ollama_engine.py

@@ -22,6 +22,26 @@ project_root = os.path.dirname(current_dir)
 sys.path.insert(0, project_root)
 
 
+def _safe_get(obj, key, default=None):
+    """兼容 dict 和 pydantic 对象的安全取值（新版 ollama 返回 pydantic 模型，不支持 .get()）"""
+    if obj is None:
+        return default
+    # 1. 先尝试 dict 访问
+    try:
+        return obj[key]
+    except (KeyError, TypeError):
+        pass
+    # 2. 尝试属性访问（pydantic 模型）
+    val = getattr(obj, key, None)
+    if val is not None:
+        return val
+    # 3. 尝试 model_dump 后的 dict 访问
+    try:
+        return obj.model_dump()[key]
+    except (AttributeError, KeyError, TypeError):
+        return default
+
+
 class OllamaAI:
     """基于Ollama的本地AI引擎"""
     requires_api_key = False  # Ollama是本地引擎，不需要API密钥
@@ -80,7 +100,10 @@ Ollama AI引擎插件帮助信息
         
         # 共享对话历史引用（由CLI设置）
         self.shared_conversation_history = None
-        
+
+        # 取消标志
+        self._cancelled = False
+
         # 直接启用思考标记，由主程序自动处理深度思考模型的响应
         self.thinking_start_marker = "<thinking>"
         self.thinking_end_marker = "</thinking>"
@@ -93,6 +116,33 @@ Ollama AI引擎插件帮助信息
         else:
             print(f"{Fore.RED}Ollama服务未运行,引擎将不可用{Style.RESET_ALL}")
     
+    def cancel(self):
+        """取消正在进行的请求"""
+        self._cancelled = True
+
+    def apply_config(self, base_url=None, api_key=None, model=None):
+        """应用新配置到当前引擎实例（内存），并持久化到 config.json"""
+        if base_url is not None:
+            self.base_url = base_url.rstrip('/')
+        if api_key is not None:
+            self.api_key = api_key
+        if model is not None:
+            self.model = model
+        # 持久化到 config.json
+        try:
+            import os, json
+            config_file = os.path.join(project_root, "config.json")
+            with open(config_file, 'r', encoding='utf-8') as f:
+                config = json.load(f)
+            engine_cfg = config.setdefault("api", {}).setdefault("engines", {}).setdefault("ollama", {})
+            engine_cfg["base_url"] = self.base_url
+            engine_cfg["api_key"] = self.api_key
+            engine_cfg["model"] = self.model
+            with open(config_file, 'w', encoding='utf-8') as f:
+                json.dump(config, f, ensure_ascii=False, indent=2)
+        except Exception as e:
+            logger.warning(f"持久化引擎配置失败: {e}")
+
     def check_ollama_service(self):
         """检测Ollama服务是否运行"""
         # 检查 ollama 库是否可用
@@ -107,7 +157,7 @@ Ollama AI引擎插件帮助信息
             # 如果出现异常,说明服务未运行
             return False
     
-    def generate_response(self, user_input, tool_results=None, system_prompt=None, tools=None):
+    def generate_response(self, user_input, tool_results=None, system_prompt=None, tools=None, stream_start_event=None):
         """
         生成AI响应 - 使用Ollama API
 
@@ -137,10 +187,20 @@ Ollama AI引擎插件帮助信息
                 messages = self._build_messages_with_history(system_prompt, user_input)
 
             # 构建调用参数
+            # 重置取消标志
+            self._cancelled = False
+            # 获取流式回调
+            stream_cb = None
+            thinking_cb = None
+            if self.cli and hasattr(self.cli, 'tui_stream_callback'):
+                stream_cb = self.cli.tui_stream_callback
+            if self.cli and hasattr(self.cli, 'tui_thinking_callback'):
+                thinking_cb = self.cli.tui_thinking_callback
+
             kwargs = {
                 "model": self.model,
                 "messages": messages,
-                "stream": False
+                "stream": True if stream_cb else False
             }
 
             # ── Function Calling: 注入工具定义 ──
@@ -150,16 +210,45 @@ Ollama AI引擎插件帮助信息
             # 使用Ollama Python库调用API
             response = ollama_client.chat(**kwargs)
 
+            # ── 流式模式：逐块读取 ──
+            if stream_cb:
+                full_content = ""
+                reasoning_content = ""
+                for chunk in response:
+                    if self._cancelled:
+                        break
+                    msg = _safe_get(chunk, "message", {})
+                    # 检查 tool_calls
+                    tc_raw = _safe_get(msg, "tool_calls")
+                    if tc_raw:
+                        # 工具调用 — 走原逻辑
+                        message = msg
+                        tool_calls_raw = tc_raw
+                        break
+                    # 深度思考（Ollama thinking 字段）
+                    rc = _safe_get(msg, "thinking", "")
+                    if rc and thinking_cb:
+                        reasoning_content += rc
+                        thinking_cb(rc)
+                    content = _safe_get(msg, "content", "")
+                    if content:
+                        full_content += content
+                        stream_cb(content)
+                else:
+                    # 流式完成，无工具调用
+                    return full_content.encode('utf-8', 'replace').decode('utf-8')
+            else:
+                message = _safe_get(response, "message", {})
+                tool_calls_raw = _safe_get(message, "tool_calls")
+
             # ── Function Calling: 检查 tool_calls ──
-            message = response.get("message", {})
-            tool_calls_raw = message.get("tool_calls")
             if tool_calls_raw:
                 # Ollama 的 tool_calls 格式: [{"function": {"name": ..., "arguments": {...}}}]
                 fc_calls = []
                 for i, tc in enumerate(tool_calls_raw):
-                    func = tc.get("function", {})
-                    name = func.get("name", "")
-                    args = func.get("arguments", {})
+                    func = _safe_get(tc, "function", {})
+                    name = _safe_get(func, "name", "")
+                    args = _safe_get(func, "arguments", {})
                     call_id = f"call_{name}_{i}"
 
                     # 统一为小狸内部格式
@@ -189,7 +278,7 @@ Ollama AI引擎插件帮助信息
                     }, ensure_ascii=False)
 
             # 普通文本响应
-            content = message.get("content", "")
+            content = _safe_get(message, "content", "")
             # 清理无效的 UTF-8 代理字符
             content = content.encode('utf-8', 'replace').decode('utf-8')
             return content
@@ -306,11 +395,16 @@ Ollama AI引擎插件帮助信息
         """列出本地可用的模型"""
         if not self.is_service_running:
             return ["错误:Ollama服务未运行"]
-        
+
         try:
             response = ollama_client.list()
-            models = [model["name"] for model in response["models"]]
-            return models
+            models_list = _safe_get(response, "models", [])
+            result = []
+            for model in models_list:
+                name = _safe_get(model, "model", "") or _safe_get(model, "name", "")
+                if name:
+                    result.append(name)
+            return result if result else ["未找到本地模型"]
         except Exception as e:
             return [f"获取模型列表失败: {str(e)}"]
     
@@ -392,12 +486,14 @@ Ollama AI引擎插件帮助信息
             
             # 逐块处理响应
             for part in response:
-                if 'status' in part:
-                    status = part['status']
+                status = _safe_get(part, "status", None)
+                if status:
                     print(f"{Fore.YELLOW}{status}{Style.RESET_ALL}")
                     # 检查是否完成
-                    if 'completed' in part and 'total' in part:
-                        if part['completed'] == part['total']:
+                    completed = _safe_get(part, "completed", None)
+                    total = _safe_get(part, "total", None)
+                    if completed is not None and total is not None:
+                        if completed == total:
                             print(f"{Fore.GREEN}模型 {model_name} 拉取完成!{Style.RESET_ALL}")
             
             print(f"{Fore.GREEN}模型 {model_name} 拉取成功!{Style.RESET_ALL}")

image_engine/__init__.py

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

image_engine/ollama_engine.py

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

plugins/ai_search.py

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

plugins/auto_engineer.py

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

plugins/code_editor.py

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

plugins/compile_check.py

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

plugins/frontend_tester.py

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

plugins/git_tools.py

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

plugins/gui_auto.py

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

plugins/id_generator.py

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

plugins/network_tools.py

@@ -8,7 +8,15 @@ from colorama import Fore, Style
 
 class Liugin:
     """网络工具插件"""
-    
+
+    # 统一 User-Agent（模拟浏览器，避免被反爬拦截）
+    _UA = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36'
+    _HEADERS = {
+        'User-Agent': _UA,
+        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
+        'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
+    }
+
     def __init__(self):
         self.usage = """网络工具使用方法：/r
 network_tools <操作> <参数>/r
@@ -35,6 +43,7 @@ network_tools <操作> <参数>/r
 """
         self.cli = None  # CLI实例引用
         self.timeout = 10  # 请求超时时间（秒）
+        self.max_retries = 2  # 最大重试次数
     
     def set_cli(self, cli):
         """设置CLI实例引用"""
@@ -161,128 +170,137 @@ JSON格式示例：
         except Exception as e:
             return f"网络工具操作错误: {str(e)}"
     
+    def _request(self, url, method='GET', timeout=None):
+        """统一请求方法 — 带重试、UA、编码处理"""
+        timeout = timeout or self.timeout
+        last_error = None
+        for attempt in range(self.max_retries + 1):
+            try:
+                response = requests.request(
+                    method, url, timeout=timeout, headers=self._HEADERS,
+                    allow_redirects=True
+                )
+                # 显式编码处理：优先用响应头声明的编码，兜底 UTF-8
+                if not response.encoding or response.encoding.lower() == 'iso-8859-1':
+                    response.encoding = response.apparent_encoding or 'utf-8'
+                return response
+            except requests.exceptions.Timeout:
+                last_error = f"请求超时 (>{timeout}秒)"
+                if attempt < self.max_retries:
+                    time.sleep(1)
+            except requests.exceptions.ConnectionError:
+                last_error = "连接失败 (无法连接到服务器)"
+                if attempt < self.max_retries:
+                    time.sleep(1)
+            except requests.exceptions.RequestException as e:
+                last_error = str(e)
+                break
+        return last_error
+
     def _ping(self, target):
-        """测试网站连通性和延迟"""
+        """测试网站连通性和延迟（单次请求，不重试，保证延迟测量准确）"""
         try:
             # 确保URL格式正确
             if not target.startswith(('http://', 'https://')):
                 test_url = 'http://' + target
             else:
                 test_url = target
-            
-            # 添加协议如果缺失
-            if not test_url.startswith(('http://', 'https://')):
-                test_url = 'http://' + test_url
-            
+
+            # 单次请求测量延迟（不使用重试，避免重试干扰延迟数值）
             start_time = time.time()
-            response = requests.get(test_url, timeout=self.timeout)
+            try:
+                response = requests.get(
+                    test_url, timeout=self.timeout,
+                    headers=self._HEADERS, allow_redirects=True
+                )
+            except requests.exceptions.Timeout:
+                return f".ping 测试结果:\n目标: {target}\n错误: 请求超时 (>{self.timeout}秒)\n连接状态: 失败"
+            except requests.exceptions.ConnectionError:
+                return f".ping 测试结果:\n目标: {target}\n错误: 连接失败 (无法连接到服务器)\n连接状态: 失败"
+            except requests.exceptions.RequestException as e:
+                return f".ping 测试结果:\n目标: {target}\n错误: {str(e)}\n连接状态: 失败"
             end_time = time.time()
-            
+
             response_time = (end_time - start_time) * 1000  # 转换为毫秒
-            
+
             result = f".ping 测试结果:\n"
             result += f"目标: {target}\n"
             result += f"HTTP状态码: {response.status_code}\n"
             result += f"响应时间: {response_time:.2f} ms\n"
             result += f"连接状态: {'成功' if response.status_code < 400 else '失败'}\n"
-            
+
             if response.status_code >= 400:
                 result += f"错误信息: {response.reason if hasattr(response, 'reason') else '请求失败'}\n"
-            
+
             return result
-            
-        except requests.exceptions.Timeout:
-            return f".ping 测试结果:\n目标: {target}\n错误: 请求超时 (>{self.timeout}秒)\n连接状态: 失败"
-        except requests.exceptions.ConnectionError:
-            return f".ping 测试结果:\n目标: {target}\n错误: 连接失败 (无法连接到服务器)\n连接状态: 失败"
-        except requests.exceptions.RequestException as e:
-            return f".ping 测试结果:\n目标: {target}\n错误: {str(e)}\n连接状态: 失败"
+
         except Exception as e:
             return f".ping 测试结果:\n目标: {target}\n错误: {str(e)}\n连接状态: 失败"
     
     def _get_content(self, url):
         """获取网页内容"""
-        try:
-            # 确保URL格式正确
-            if not url.startswith(('http://', 'https://')):
-                url = 'https://' + url
-            
-            response = requests.get(url, timeout=self.timeout)
-            
-            if response.status_code == 200:
-                content = response.text
-                # 限制内容长度以避免过长输出
-                if len(content) > 2000:
-                    content = content[:2000] + f"\n... (内容已截断，完整内容共{len(content)}字符)"
-                
-                result = f"网页内容 (来自 {url}):\n"
-                result += content
-                return result
-            else:
-                return f"获取网页内容失败，状态码: {response.status_code}, 原因: {response.reason if hasattr(response, 'reason') else ''}"
-                
-        except requests.exceptions.Timeout:
-            return f"获取网页内容超时 (>{self.timeout}秒)"
-        except requests.exceptions.ConnectionError:
-            return f"无法连接到 {url}，请检查URL是否正确"
-        except requests.exceptions.RequestException as e:
-            return f"请求失败: {str(e)}"
-        except Exception as e:
-            return f"获取网页内容时发生错误: {str(e)}"
+        # 确保URL格式正确
+        if not url.startswith(('http://', 'https://')):
+            url = 'https://' + url
+
+        response = self._request(url)
+        # _request 返回字符串表示错误
+        if isinstance(response, str):
+            return f"获取网页内容失败: {response}"
+
+        if response.status_code == 200:
+            content = response.text
+            # 限制内容长度以避免过长输出
+            if len(content) > 2000:
+                content = content[:2000] + f"\n... (内容已截断，完整内容共{len(content)}字符)"
+
+            result = f"网页内容 (来自 {url}):\n"
+            result += content
+            return result
+        else:
+            return f"获取网页内容失败，状态码: {response.status_code}, 原因: {response.reason if hasattr(response, 'reason') else ''}"
     
     def _check_status(self, url):
         """检查网站状态码"""
-        try:
-            # 确保URL格式正确
-            if not url.startswith(('http://', 'https://')):
-                url = 'https://' + url
-            
-            response = requests.get(url, timeout=self.timeout)
-            
-            result = f"网站状态 (来自 {url}):\n"
-            result += f"HTTP状态码: {response.status_code}\n"
-            result += f"状态描述: {response.reason if hasattr(response, 'reason') else 'Unknown'}\n"
-            result += f"响应时间: {response.elapsed.total_seconds():.2f} 秒\n"
-            result += f"内容长度: {len(response.content)} 字节\n"
-            result += f"服务器: {response.headers.get('Server', '未知')}\n"
-            result += f"内容类型: {response.headers.get('Content-Type', '未知')}\n"
-            
-            return result
-            
-        except requests.exceptions.Timeout:
-            return f"检查网站状态超时 (>{self.timeout}秒)"
-        except requests.exceptions.ConnectionError:
-            return f"无法连接到 {url}，请检查URL是否正确"
-        except requests.exceptions.RequestException as e:
-            return f"请求失败: {str(e)}"
-        except Exception as e:
-            return f"检查网站状态时发生错误: {str(e)}"
+        # 确保URL格式正确
+        if not url.startswith(('http://', 'https://')):
+            url = 'https://' + url
+
+        response = self._request(url)
+        if isinstance(response, str):
+            return f"检查网站状态失败: {response}"
+
+        result = f"网站状态 (来自 {url}):\n"
+        result += f"HTTP状态码: {response.status_code}\n"
+        result += f"状态描述: {response.reason if hasattr(response, 'reason') else 'Unknown'}\n"
+        result += f"响应时间: {response.elapsed.total_seconds():.2f} 秒\n"
+        result += f"内容长度: {len(response.content)} 字节\n"
+        result += f"服务器: {response.headers.get('Server', '未知')}\n"
+        result += f"内容类型: {response.headers.get('Content-Type', '未知')}\n"
+
+        return result
     
     def _get_headers(self, url):
-        """获取网站响应头"""
-        try:
-            # 确保URL格式正确
-            if not url.startswith(('http://', 'https://')):
-                url = 'https://' + url
-            
-            response = requests.get(url, timeout=self.timeout)
-            
-            headers = dict(response.headers)
-            
-            result = f"响应头 (来自 {url}):\n"
-            for key, value in headers.items():
-                result += f"{key}: {value}\n"
-            
-            return result
-            
-        except requests.exceptions.Timeout:
-            return f"获取响应头超时 (>{self.timeout}秒)"
-        except requests.exceptions.ConnectionError:
-            return f"无法连接到 {url}，请检查URL是否正确"
-        except requests.exceptions.RequestException as e:
-            return f"请求失败: {str(e)}"
-        except Exception as e:
-            return f"获取响应头时发生错误: {str(e)}"
+        """获取网站响应头（优先 HEAD 请求，失败则回退 GET）"""
+        # 确保URL格式正确
+        if not url.startswith(('http://', 'https://')):
+            url = 'https://' + url
+
+        # 优先用 HEAD（更高效），失败则回退到 GET
+        response = self._request(url, method='HEAD')
+        if isinstance(response, str):
+            # HEAD 失败（可能服务器不支持），回退到 GET
+            response = self._request(url, method='GET')
+        if isinstance(response, str):
+            return f"获取响应头失败: {response}"
+
+        headers = dict(response.headers)
+
+        result = f"响应头 (来自 {url}):\n"
+        for key, value in headers.items():
+            result += f"{key}: {value}\n"
+
+        return result
     
     def _get_ip(self, domain):
         """获取域名对应的IP地址"""

plugins/scheduler.py

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

plugins/snippet_manager.py

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

plugins/sub_agent.py

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

plugins/workflow.py

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

skills/base.py

@@ -371,20 +371,6 @@ class SkillLoader:
         """获取已加载的技能"""
         return self._skills.get(name)
     
-    def get_all_tool_definitions(self, format: str = "openai") -> List[Dict]:
-        """获取所有技能的工具定义"""
-        definitions = []
-        for skill in self._skills.values():
-            if format == "anthropic":
-                definitions.append(skill.get_anthropic_tool_definition())
-            else:
-                definitions.append(skill.get_tool_definition())
-        return definitions
-    
-    def get_skill(self, name: str) -> Optional[Union[Skill, MarkdownSkill]]:
-        """获取已加载的技能"""
-        return self._skills.get(name)
-    
     def get_all_tool_definitions(self, format: str = "openai") -> List[Dict]:
         """获取所有技能的工具定义"""
         definitions = []

skills/file-manager/scripts/file_ops.py

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

test_tui_send.py

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

websocket_server.py

@@ -417,21 +417,17 @@ class LocalServer:
             image_engine = getattr(self.cli, 'image_engine', None)
             if not image_engine:
                 try:
-                    from image_engine import get_image_engine
-                    image_engine = get_image_engine()
+                    from image_engine import get_engine_manager
+                    image_engine = get_engine_manager()
                 except:
                     return f"@{file_path}"  # 没有图像引擎，直接返回路径
             
             if websocket:
                 await self._send_tool_status(websocket, "图像识别", text or "分析图片", "calling")
             
-            # 读取图片
-            with open(file_path, 'rb') as f:
-                image_data = f.read()
-            
             # 调用图像识别
             try:
-                result = image_engine.analyze(image_data, text or "请描述这张图片")
+                result = image_engine.analyze(file_path, text or "请描述这张图片")
                 
                 if websocket:
                     await self._send_tool_status(websocket, "图像识别", text or "分析图片", "success", result[:200] if result else "无结果")
@@ -638,9 +634,13 @@ class LocalServer:
         from colorama import Fore, Style
         try:
             s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-            s.connect(("8.8.8.8", 80))
-            local_ip = s.getsockname()[0]
-            s.close()
+            try:
+                s.connect(("8.8.8.8", 80))
+                local_ip = s.getsockname()[0]
+            except:
+                local_ip = "未知"
+            finally:
+                s.close()
         except:
             local_ip = "未知"
         
@@ -657,9 +657,13 @@ class LocalServer:
     def get_status(self) -> dict:
         try:
             s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-            s.connect(("8.8.8.8", 80))
-            local_ip = s.getsockname()[0]
-            s.close()
+            try:
+                s.connect(("8.8.8.8", 80))
+                local_ip = s.getsockname()[0]
+            except:
+                local_ip = "未知"
+            finally:
+                s.close()
         except:
             local_ip = "未知"
         return {
@@ -817,15 +821,12 @@ class ProxyClient:
             image_engine = getattr(self.cli, 'image_engine', None)
             if not image_engine:
                 try:
-                    from image_engine import get_image_engine
-                    image_engine = get_image_engine()
+                    from image_engine import get_engine_manager
+                    image_engine = get_engine_manager()
                 except:
                     return f"@{file_path}"
             
-            with open(file_path, 'rb') as f:
-                image_data = f.read()
-            
-            result = image_engine.analyze(image_data, text or "请描述这张图片")
+            result = image_engine.analyze(file_path, text or "请描述这张图片")
             return await self._process_message(f"@{file_path}", [], f"图片内容: {result}\n\n{text}" if text else f"图片内容: {result}")
             
         except Exception as e:
@@ -1133,8 +1134,6 @@ def start_proxy_client(cli_instance, server_host: str, server_port: int,
         websocket_server = None
     
     return result
-    
-    return _proxy_client.start(server_host, server_port, server_password, pc_port, pc_password)
 
 
 def stop_all():

xcli_core/cli_base.py

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

xcli_core/cli_clawli.py

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

xcli_core/cli_history.py

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

xcli_core/config.py

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

xcli_core/fc_tools.py

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

xcli_core/notification.py

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

xcli_core/process_protection.py

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