[2026-02-28 13:16:51,269] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 13:16:51,270] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 13:16:51,271] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 13:16:51,271] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 13:16:51,271] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 13:16:51,271] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 13:16:51,272] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: claude-sonnet-4-6 [2026-02-28 13:16:51,273] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 13:16:51,273] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 13:16:51,273] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 13:59:08,843] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 13:59:08,844] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 13:59:08,845] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 13:59:08,845] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 13:59:08,845] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 13:59:08,845] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 13:59:08,846] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: claude-sonnet-4-6 [2026-02-28 13:59:08,847] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 13:59:08,848] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 13:59:08,848] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 13:59:40,111] [agent.CLIENT] INFO: ======================================================= [2026-02-28 13:59:41,400] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:00:07,071] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:00:51,574] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:02:14,371] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:04:03,060] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:15:21,435] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:15:21,437] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:15:21,437] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:15:21,438] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:15:21,438] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:15:21,438] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:15:21,439] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: claude-sonnet-4-6 [2026-02-28 14:15:21,730] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:15:21,731] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:15:21,731] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:15:37,946] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:15:38,634] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1+1等于多少 [2026-02-28 14:15:39,212] [agent.MEMORY] DEBUG: 💬 [USER] 1+1等于多少... [2026-02-28 14:15:40,563] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:15:47,714] [agent.LLM] INFO: 💭 分析意图: 1+1等于多少... [2026-02-28 14:15:50,157] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:17:52,834] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:17:52,836] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:17:52,837] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:17:52,837] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:17:52,837] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:17:52,838] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:17:52,839] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: claude-sonnet-4-6 [2026-02-28 14:17:53,009] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:17:53,010] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:17:53,010] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:18:02,052] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:18:02,614] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:18:03,083] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:18:04,093] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:18:07,998] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:18:09,082] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:19:28,781] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:19:28,781] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:19:28,782] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:19:28,782] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:19:28,783] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:19:28,783] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:19:28,783] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:19:28,912] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:19:28,913] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:19:28,913] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:19:38,773] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:19:38,773] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:19:38,774] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:19:38,774] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:19:38,774] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:19:38,774] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:24:25,989] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:24:25,990] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:24:25,991] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:24:25,991] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:24:25,991] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:24:25,991] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:24:25,992] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:24:26,120] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:24:26,120] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:24:26,121] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:24:47,520] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:24:47,520] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:24:47,521] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:24:47,521] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:24:47,521] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:24:47,521] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:26:41,628] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:26:41,629] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:26:41,630] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:26:41,630] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:26:41,631] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:26:41,631] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:26:41,632] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:26:41,764] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:26:41,764] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:26:41,765] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:26:52,266] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:26:52,266] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:26:52,267] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:26:52,267] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:26:52,267] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:26:52,268] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:29:31,672] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:29:31,673] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:29:31,674] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:29:31,674] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:29:31,674] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:29:31,675] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:29:31,675] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:29:31,809] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:29:31,810] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:29:31,811] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:29:43,546] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:29:43,546] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:29:43,546] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:29:43,547] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:29:43,547] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:29:43,547] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:32:01,347] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:32:01,348] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:32:01,349] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:32:01,349] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:32:01,349] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:32:01,350] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:32:01,351] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:32:01,477] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:32:01,477] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:32:01,478] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:32:08,959] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:32:08,959] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:32:08,959] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:32:08,960] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:32:08,960] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:32:08,960] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:34:04,981] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:34:04,982] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:34:04,983] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:34:04,984] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:34:04,984] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:34:04,985] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:34:04,987] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:34:05,137] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:34:05,140] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:34:05,141] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:34:14,908] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:34:14,908] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:34:14,908] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:34:14,908] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:34:14,909] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:34:14,909] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:35:39,204] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:35:39,205] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:35:39,205] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:35:39,205] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:35:39,206] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:35:39,206] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:35:39,207] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:35:39,333] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:35:39,334] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:35:39,334] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:35:51,583] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:35:51,583] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:35:51,584] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:35:51,584] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:35:51,584] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:35:51,585] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:43:51,069] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 14:43:51,069] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 14:43:51,070] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 14:43:51,070] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 14:43:51,071] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 14:43:51,071] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 14:43:51,071] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 14:43:51,198] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 14:43:51,198] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 14:43:51,199] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 14:44:04,009] [agent.CLIENT] INFO: ======================================================= [2026-02-28 14:44:04,009] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 14:44:04,009] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 14:44:04,010] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 14:44:04,010] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 14:44:04,010] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 14:44:10,159] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [calculator] [2026-02-28 14:44:10,159] [agent.LLM] DEBUG: 💡 推理: 用户询问数学计算问题，直接调用计算工具得到1+1的结果是最合适的。 [2026-02-28 14:44:21,419] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: calculator 参数: {'expression': '1+1'} 请求体: {'jsonrpc': '2.0', 'id': 'e4d8732a', 'method': 'tools/call', 'params': {'name': 'calculator', 'arguments': {'expression': '1+1'}}} [2026-02-28 14:44:36,340] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [calculator]... [2026-02-28 14:44:40,181] [agent.MCP] INFO: 📨 收到请求 id=e4d8732a method=tools/call [2026-02-28 14:46:24,701] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '1+1'} [2026-02-28 14:46:50,239] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-02-28 16:05:27,152] [agent.CLIENT] INFO: ✅ 工具执行成功，输出: 1+1 = 2... [2026-02-28 16:05:46,521] [agent.MEMORY] DEBUG: 💬 [TOOL] 1+1 = 2... [2026-02-28 16:05:49,469] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合工具结果，生成最终回复... [2026-02-28 16:05:53,270] [agent.LLM] INFO: ✍️ 整合工具结果，生成最终回复... [2026-02-28 16:05:53,271] [agent.LLM] INFO: 💬 回复已生成 (83 chars) [2026-02-28 16:06:03,400] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [calculator] 工具处理您的请求。 **执行结果:** 1+1 = 2 --- *由 gpt-... [2026-02-28 16:06:05,167] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-02-28 22:29:24,671] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:29:24,672] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:29:24,672] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:29:24,672] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:29:24,672] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:29:24,672] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:29:24,672] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:29:56,971] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:29:56,971] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:29:56,971] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:29:56,971] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:29:56,971] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:29:56,971] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:29:56,972] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:30:46,017] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:30:46,017] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:30:46,017] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:30:46,018] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:30:46,018] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:30:46,018] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:30:46,018] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:30:53,901] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:30:53,902] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:30:53,902] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:30:53,902] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:30:53,902] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:30:53,902] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:30:53,902] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:47:31,295] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:47:31,296] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:47:31,296] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:47:31,296] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:47:31,296] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:47:31,296] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:47:31,296] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:51:08,506] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:51:08,507] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:51:08,507] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:51:08,507] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:51:08,507] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:51:08,507] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:51:08,507] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:51:43,854] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:51:43,855] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:51:43,855] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:51:43,855] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:51:43,855] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:51:43,855] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:51:43,855] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:51:43,891] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 22:51:43,891] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 22:51:43,891] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 22:51:58,206] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:51:58,206] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:51:58,206] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:51:58,206] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:51:58,207] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:51:58,207] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:51:58,207] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:51:58,232] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 22:51:58,232] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 22:51:58,232] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 22:52:08,077] [agent.CLIENT] INFO: ======================================================= [2026-02-28 22:52:08,077] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 22:52:08,077] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 22:52:08,078] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 22:52:08,078] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 22:52:08,078] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 22:54:48,518] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:54:48,518] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:54:48,518] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:54:48,519] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:54:48,519] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:54:48,519] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:54:48,519] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:54:48,543] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 22:54:48,544] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 22:54:48,544] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 22:55:14,173] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:55:14,173] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:55:14,173] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:55:14,174] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:55:14,174] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:55:14,174] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:55:14,174] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:55:54,637] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:55:54,637] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:55:54,637] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:55:54,638] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:55:54,638] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:55:54,638] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:55:54,638] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:55:54,675] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 22:55:54,676] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 22:55:54,676] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 22:56:03,477] [agent.CLIENT] INFO: ======================================================= [2026-02-28 22:56:03,478] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 1加1等于多少 [2026-02-28 22:56:03,478] [agent.MEMORY] DEBUG: 💬 [USER] 1加1等于多少... [2026-02-28 22:56:03,478] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 22:56:03,478] [agent.LLM] INFO: 💭 分析意图: 1加1等于多少... [2026-02-28 22:56:03,478] [agent.LLM] DEBUG: 📝 Prompt 已构造 (344 chars) [2026-02-28 22:56:17,390] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [calculator] [2026-02-28 22:56:17,391] [agent.LLM] DEBUG: 💡 推理: 用户提出了一个数学问题，需要计算 1 加 1 的值，用 calculator 工具进行计算是最合适的。 [2026-02-28 22:56:17,391] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: calculator 参数: {'expression': '1+1'} 请求体: {'jsonrpc': '2.0', 'id': '2bcb050e', 'method': 'tools/call', 'params': {'name': 'calculator', 'arguments': {'expression': '1+1'}}} [2026-02-28 22:56:17,392] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [calculator]... [2026-02-28 22:56:17,392] [agent.MCP] INFO: 📨 收到请求 id=2bcb050e method=tools/call [2026-02-28 22:56:17,392] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '1+1'} [2026-02-28 22:56:17,392] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-02-28 22:56:17,393] [agent.CLIENT] INFO: ✅ 工具执行成功，输出: 1+1 = 2... [2026-02-28 22:56:17,393] [agent.MEMORY] DEBUG: 💬 [TOOL] 1+1 = 2... [2026-02-28 22:56:17,393] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合工具结果，生成最终回复... [2026-02-28 22:56:17,393] [agent.LLM] INFO: ✍️ 整合工具结果，生成最终回复... [2026-02-28 22:56:17,394] [agent.LLM] INFO: 💬 回复已生成 (83 chars) [2026-02-28 22:56:17,394] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [calculator] 工具处理您的请求。 **执行结果:** 1+1 = 2 --- *由 gpt-... [2026-02-28 22:56:17,394] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-02-28 22:56:35,957] [agent.CLIENT] INFO: ======================================================= [2026-02-28 22:56:35,958] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 34*67等于多少 [2026-02-28 22:56:35,958] [agent.MEMORY] DEBUG: 💬 [USER] 34*67等于多少... [2026-02-28 22:56:35,959] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 22:56:35,959] [agent.LLM] INFO: 💭 分析意图: 34*67等于多少... [2026-02-28 22:56:35,959] [agent.LLM] DEBUG: 📝 Prompt 已构造 (471 chars) [2026-02-28 22:58:14,926] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 22:58:14,926] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 22:58:14,926] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 22:58:14,926] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 22:58:14,926] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 22:58:14,926] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 22:58:14,927] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 22:58:14,964] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 22:58:14,964] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 22:58:14,965] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 22:58:21,018] [agent.CLIENT] INFO: ======================================================= [2026-02-28 22:58:21,018] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 34*56等于多少 [2026-02-28 22:58:21,018] [agent.MEMORY] DEBUG: 💬 [USER] 34*56等于多少... [2026-02-28 22:58:21,018] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 22:58:21,018] [agent.LLM] INFO: 💭 分析意图: 34*56等于多少... [2026-02-28 22:58:21,019] [agent.LLM] DEBUG: 📝 Prompt 已构造 (348 chars) [2026-02-28 22:58:23,409] [agent.Monica] INFO: { "need_tool": true, "tool_name": "calculator", "arguments": { "expression": "34*56" }, "reasoning": "用户询问的数学问题需要计算具体结果，这可以通过调用 calculator 工具来完成。" } [2026-02-28 22:58:23,409] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [calculator] [2026-02-28 22:58:23,409] [agent.LLM] DEBUG: 💡 推理: 用户询问的数学问题需要计算具体结果，这可以通过调用 calculator 工具来完成。 [2026-02-28 22:58:23,409] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: calculator 参数: {'expression': '34*56'} 请求体: {'jsonrpc': '2.0', 'id': '6f404ceb', 'method': 'tools/call', 'params': {'name': 'calculator', 'arguments': {'expression': '34*56'}}} [2026-02-28 22:58:23,409] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [calculator]... [2026-02-28 22:58:23,410] [agent.MCP] INFO: 📨 收到请求 id=6f404ceb method=tools/call [2026-02-28 22:58:23,410] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '34*56'} [2026-02-28 22:58:23,410] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-02-28 22:58:23,410] [agent.CLIENT] INFO: ✅ 工具执行成功，输出: 34*56 = 1904... [2026-02-28 22:58:23,410] [agent.MEMORY] DEBUG: 💬 [TOOL] 34*56 = 1904... [2026-02-28 22:58:23,410] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合工具结果，生成最终回复... [2026-02-28 22:58:23,410] [agent.LLM] INFO: ✍️ 整合工具结果，生成最终回复... [2026-02-28 22:58:23,410] [agent.LLM] INFO: 💬 回复已生成 (88 chars) [2026-02-28 22:58:23,410] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [calculator] 工具处理您的请求。 **执行结果:** 34*56 = 1904 --- *由... [2026-02-28 22:58:23,410] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-02-28 22:58:37,709] [agent.CLIENT] INFO: ======================================================= [2026-02-28 22:58:37,710] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 23*45等于多少 [2026-02-28 22:58:37,710] [agent.MEMORY] DEBUG: 💬 [USER] 23*45等于多少... [2026-02-28 22:58:37,710] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 22:58:37,711] [agent.LLM] INFO: 💭 分析意图: 23*45等于多少... [2026-02-28 22:58:37,711] [agent.LLM] DEBUG: 📝 Prompt 已构造 (478 chars) [2026-02-28 22:58:47,485] [agent.Monica] INFO: {"need_tool": true, "tool_name": "calculator", "arguments": {"expression": "23*45"}, "reasoning": "计算数学表达式需要调用 calculator 工具直接获得结果，以确保准确性。"} [2026-02-28 22:58:47,486] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [calculator] [2026-02-28 22:58:47,486] [agent.LLM] DEBUG: 💡 推理: 计算数学表达式需要调用 calculator 工具直接获得结果，以确保准确性。 [2026-02-28 22:58:47,487] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: calculator 参数: {'expression': '23*45'} 请求体: {'jsonrpc': '2.0', 'id': '246d9a09', 'method': 'tools/call', 'params': {'name': 'calculator', 'arguments': {'expression': '23*45'}}} [2026-02-28 22:58:47,487] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [calculator]... [2026-02-28 22:58:47,487] [agent.MCP] INFO: 📨 收到请求 id=246d9a09 method=tools/call [2026-02-28 22:58:47,487] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '23*45'} [2026-02-28 22:58:47,488] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-02-28 22:58:47,488] [agent.CLIENT] INFO: ✅ 工具执行成功，输出: 23*45 = 1035... [2026-02-28 22:58:47,488] [agent.MEMORY] DEBUG: 💬 [TOOL] 23*45 = 1035... [2026-02-28 22:58:47,489] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合工具结果，生成最终回复... [2026-02-28 22:58:47,489] [agent.LLM] INFO: ✍️ 整合工具结果，生成最终回复... [2026-02-28 22:58:47,489] [agent.LLM] INFO: 💬 回复已生成 (88 chars) [2026-02-28 22:58:47,489] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [calculator] 工具处理您的请求。 **执行结果:** 23*45 = 1035 --- *由... [2026-02-28 22:58:47,489] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-02-28 23:01:29,790] [agent.CLIENT] INFO: ======================================================= [2026-02-28 23:01:29,790] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 搜索今日的天气如何 [2026-02-28 23:01:29,790] [agent.MEMORY] DEBUG: 💬 [USER] 搜索今日的天气如何... [2026-02-28 23:01:29,791] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 23:01:29,791] [agent.LLM] INFO: 💭 分析意图: 搜索今日的天气如何... [2026-02-28 23:01:29,791] [agent.LLM] DEBUG: 📝 Prompt 已构造 (591 chars) [2026-02-28 23:02:40,057] [agent.Monica] INFO: ```json { "need_tool": true, "tool_name": "web_search", "arguments": { "query": "今日的天气" }, "reasoning": "获取当日天气信息需要实时数据，而我无法直接访问实时信息，因此需要调用 web_search 工具来搜索并获取最新的天气信息。" } ``` [2026-02-28 23:11:18,766] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 23:11:18,766] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 23:11:18,766] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 23:11:18,766] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 23:11:18,766] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 23:11:18,766] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 23:11:18,767] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 23:11:18,821] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 23:11:18,822] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 23:11:18,822] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 23:11:23,918] [agent.CLIENT] INFO: ======================================================= [2026-02-28 23:11:23,918] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 查询今天的天气 [2026-02-28 23:11:23,918] [agent.MEMORY] DEBUG: 💬 [USER] 查询今天的天气... [2026-02-28 23:11:23,918] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 23:11:23,918] [agent.LLM] INFO: 💭 分析意图: 查询今天的天气... [2026-02-28 23:11:23,919] [agent.LLM] DEBUG: 📝 Prompt 已构造 (359 chars) [2026-02-28 23:11:27,029] [agent.Monica] INFO: {"need_tool": true, "tool_name": "web_search", "arguments": {"query": "今天的天气"}, "reasoning": "查询天气需要访问实时信息，无法直接从内置数据中获取，因此需要调用网络搜索工具来获取当天的天气状况。"} [2026-02-28 23:11:27,029] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [web_search] [2026-02-28 23:11:27,029] [agent.LLM] DEBUG: 💡 推理: 查询天气需要访问实时信息，无法直接从内置数据中获取，因此需要调用网络搜索工具来获取当天的天气状况。 [2026-02-28 23:11:27,029] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: web_search 参数: {'query': '今天的天气'} 请求体: {'jsonrpc': '2.0', 'id': '6b19ead1', 'method': 'tools/call', 'params': {'name': 'web_search', 'arguments': {'query': '今天的天气'}}} [2026-02-28 23:11:27,030] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [web_search]... [2026-02-28 23:11:27,030] [agent.MCP] INFO: 📨 收到请求 id=6b19ead1 method=tools/call [2026-02-28 23:11:27,030] [agent.TOOL] INFO: ▶ 执行工具 [web_search]，参数: {'query': '今天的天气'} [2026-02-28 23:11:27,130] [agent.TOOL] INFO: ✅ 工具 [web_search] 执行成功 [2026-02-28 23:11:27,130] [agent.CLIENT] INFO: ✅ 工具执行成功，输出: 搜索「今天的天气」，共 2 条结果: [1] 今日天气预报 晴转多云，气温 15°C ~ 24°C，东南风 3 级 [2] 未来 7 天天气 本... [2026-02-28 23:11:27,130] [agent.MEMORY] DEBUG: 💬 [TOOL] 搜索「今天的天气」，共 2 条结果: [1] 今日天气预报 晴转多云，气温 15°C ~ 24°C，东南风 3 ... [2026-02-28 23:11:27,130] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合工具结果，生成最终回复... [2026-02-28 23:11:27,131] [agent.LLM] INFO: ✍️ 整合工具结果，生成最终回复... [2026-02-28 23:11:27,131] [agent.LLM] INFO: 💬 回复已生成 (167 chars) [2026-02-28 23:11:27,131] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [web_search] 工具处理您的请求。 **执行结果:** 搜索「今天的天气」，共 2 条结果: [... [2026-02-28 23:11:27,131] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-02-28 23:12:22,747] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-02-28 23:12:22,747] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-02-28 23:12:22,747] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-02-28 23:12:22,747] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-02-28 23:12:22,747] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-02-28 23:12:22,747] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-02-28 23:12:22,747] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-02-28 23:12:22,785] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-02-28 23:12:22,785] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-02-28 23:12:22,785] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-02-28 23:12:53,887] [agent.CLIENT] INFO: ======================================================= [2026-02-28 23:12:53,887] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 执行python代码：print('你好') [2026-02-28 23:12:53,887] [agent.MEMORY] DEBUG: 💬 [USER] 执行python代码：print('你好')... [2026-02-28 23:12:53,887] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-02-28 23:12:53,887] [agent.LLM] INFO: 💭 分析意图: 执行python代码：print('你好')... [2026-02-28 23:12:53,887] [agent.LLM] DEBUG: 📝 Prompt 已构造 (389 chars) [2026-02-28 23:12:57,254] [agent.Monica] INFO: {"need_tool": true, "tool_name": "code_executor", "arguments": {"code": "print('你好')"}, "reasoning": "用户明确要求执行一段Python代码，因此需要调用code_executor工具来执行该代码。"} [2026-02-28 23:12:57,254] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [code_executor] [2026-02-28 23:12:57,254] [agent.LLM] DEBUG: 💡 推理: 用户明确要求执行一段Python代码，因此需要调用code_executor工具来执行该代码。 [2026-02-28 23:12:57,254] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: code_executor 参数: {'code': "print('你好')"} 请求体: {'jsonrpc': '2.0', 'id': '49bf04da', 'method': 'tools/call', 'params': {'name': 'code_executor', 'arguments': {'code': "print('你好')"}}} [2026-02-28 23:12:57,255] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [code_executor]... [2026-02-28 23:12:57,255] [agent.MCP] INFO: 📨 收到请求 id=49bf04da method=tools/call [2026-02-28 23:12:57,255] [agent.TOOL] INFO: ▶ 执行工具 [code_executor]，参数: {'code': "print('你好')"} [2026-02-28 23:12:57,255] [agent.TOOL] INFO: ✅ 工具 [code_executor] 执行成功 [2026-02-28 23:12:57,255] [agent.CLIENT] INFO: ✅ 工具执行成功，输出: 执行成功 (0.1ms): 你好 ... [2026-02-28 23:12:57,255] [agent.MEMORY] DEBUG: 💬 [TOOL] 执行成功 (0.1ms): 你好 ... [2026-02-28 23:12:57,255] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合工具结果，生成最终回复... [2026-02-28 23:12:57,255] [agent.LLM] INFO: ✍️ 整合工具结果，生成最终回复... [2026-02-28 23:12:57,255] [agent.LLM] INFO: 💬 回复已生成 (99 chars) [2026-02-28 23:12:57,256] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [code_executor] 工具处理您的请求。 **执行结果:** 执行成功 (0.1ms): 你好 ... [2026-02-28 23:12:57,256] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-03-02 10:49:15,081] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 10:49:15,081] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 10:49:15,081] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 10:49:15,081] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 10:49:15,081] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 10:49:15,081] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 10:49:15,081] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 10:49:15,081] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 10:49:15,119] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 10:49:15,119] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 10:49:15,119] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 10:59:16,161] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 10:59:16,162] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 10:59:16,162] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 10:59:16,162] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 10:59:16,162] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 10:59:16,162] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 10:59:16,162] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 10:59:16,162] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 10:59:16,200] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 10:59:16,201] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 10:59:16,201] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:00:03,211] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:00:03,211] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下： [2026-03-02 11:00:03,211] [agent.MEMORY] DEBUG: 💬 [USER] 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：... [2026-03-02 11:00:03,211] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:00:03,211] [agent.LLM] INFO: 💭 分析意图: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：... [2026-03-02 11:00:03,212] [agent.LLM] DEBUG: 📝 Prompt 已构造 (456 chars) [2026-03-02 11:02:33,970] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:02:33,970] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:02:33,970] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:02:33,970] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:02:33,970] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:02:33,971] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:02:33,971] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:02:33,971] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:02:34,008] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:02:34,008] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:02:34,008] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:02:39,526] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:02:39,526] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(BaseTool):\n name = \"my demo tool\"\n description = \"this demo is used to show how to write a agent tool \"\n parameters = {\n \"parameter1\": {\n \"type\": \"string\",\n \"description\": \"the first parameter\"\n },\n \"parameter2\": {\n \"type\": \"integer\",\n \"description\": \"the second parameter\"\n }\n }\n def execute(parameter1: str, parameter2: int):\n ...\n" [2026-03-02 11:02:39,526] [agent.MEMORY] DEBUG: 💬 [USER] 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(Base... [2026-03-02 11:02:39,526] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:02:39,526] [agent.LLM] INFO: 💭 分析意图: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDem... [2026-03-02 11:02:39,526] [agent.LLM] DEBUG: 📝 Prompt 已构造 (985 chars) [2026-03-02 11:03:09,470] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:03:09,470] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:03:09,470] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:03:09,471] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:03:09,471] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:03:09,471] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:03:09,471] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:03:09,471] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:03:09,509] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:03:09,509] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:03:09,510] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:03:12,558] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:03:12,558] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(BaseTool):\n name = \"my demo tool\"\n description = \"this demo is used to show how to write a agent tool \"\n parameters = {\n \"parameter1\": {\n \"type\": \"string\",\n \"description\": \"the first parameter\"\n },\n \"parameter2\": {\n \"type\": \"integer\",\n \"description\": \"the second parameter\"\n }\n }\n def execute(parameter1: str, parameter2: int):\n ...\n" [2026-03-02 11:03:12,558] [agent.MEMORY] DEBUG: 💬 [USER] 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(Base... [2026-03-02 11:03:12,558] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:03:12,558] [agent.LLM] INFO: 💭 分析意图: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDem... [2026-03-02 11:03:12,558] [agent.LLM] DEBUG: 📝 Prompt 已构造 (985 chars) [2026-03-02 11:06:15,110] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:06:15,110] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:06:15,110] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:06:15,110] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:06:15,111] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:06:15,111] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:06:15,111] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:06:15,111] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:06:15,148] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:06:15,148] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:06:15,148] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:06:18,486] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:06:18,486] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(BaseTool):\n name = \"my demo tool\"\n description = \"this demo is used to show how to write a agent tool \"\n parameters = {\n \"parameter1\": {\n \"type\": \"string\",\n \"description\": \"the first parameter\"\n },\n \"parameter2\": {\n \"type\": \"integer\",\n \"description\": \"the second parameter\"\n }\n }\n def execute(parameter1: str, parameter2: int):\n ...\n" [2026-03-02 11:06:18,486] [agent.MEMORY] DEBUG: 💬 [USER] 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(Base... [2026-03-02 11:06:18,486] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:06:18,486] [agent.LLM] INFO: 💭 分析意图: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDem... [2026-03-02 11:06:18,486] [agent.LLM] DEBUG: 📝 Prompt 已构造 (985 chars) [2026-03-02 11:06:21,669] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"name": "process_status_query_tool", "description": "Tool for querying current system process status", "parameters": {"process_id": {"type": "integer", "description": "The ID of the process to query"}}, "execution_code": "def execute(process_id: int):\n import psutil\n process = psutil.Process(process_id)\n return {\n 'name': process.name(),\n 'status': process.status(),\n 'cpu_usage': process.cpu_percent(interval=1),\n 'memory_info': process.memory_info()._asdict()\n }"}, "reasoning": "The user requested code for an agent skill tool that queries system process status. The agent_skill_generator tool is necessary to generate the required skill code based on the provided input."} [2026-03-02 11:06:21,669] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:06:21,669] [agent.LLM] DEBUG: 💡 推理: The user requested code for an agent skill tool that queries system process status. The agent_skill_generator tool is necessary to generate the required skill code based on the provided input. [2026-03-02 11:06:21,669] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'name': 'process_status_query_tool', 'description': 'Tool for querying current system process status', 'parameters': {'process_id': {'type': 'integer', 'description': 'The ID of the process to query'}}, 'execution_code': "def execute(process_id: int):\n import psutil\n process = psutil.Process(process_id)\n return {\n 'name': process.name(),\n 'status': process.status(),\n 'cpu_usage': process.cpu_percent(interval=1),\n 'memory_info': process.memory_info()._asdict()\n }"} 请求体: {'jsonrpc': '2.0', 'id': '11f24daa', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'name': 'process_status_query_tool', 'description': 'Tool for querying current system process status', 'parameters': {'process_id': {'type': 'integer', 'description': 'The ID of the process to query'}}, 'execution_code': "def execute(process_id: int):\n import psutil\n process = psutil.Process(process_id)\n return {\n 'name': process.name(),\n 'status': process.status(),\n 'cpu_usage': process.cpu_percent(interval=1),\n 'memory_info': process.memory_info()._asdict()\n }"}}} [2026-03-02 11:06:21,669] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:06:21,669] [agent.MCP] INFO: 📨 收到请求 id=11f24daa method=tools/call [2026-03-02 11:06:21,669] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'name': 'process_status_query_tool', 'description': 'Tool for querying current system process status', 'parameters': {'process_id': {'type': 'integer', 'description': 'The ID of the process to query'}}, 'execution_code': "def execute(process_id: int):\n import psutil\n process = psutil.Process(process_id)\n return {\n 'name': process.name(),\n 'status': process.status(),\n 'cpu_usage': process.cpu_percent(interval=1),\n 'memory_info': process.memory_info()._asdict()\n }"} [2026-03-02 11:06:21,669] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'name' [2026-03-02 11:06:21,669] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'name'"} [2026-03-02 11:13:52,278] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:13:52,278] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(BaseTool):\n name = \"my demo tool\"\n description = \"this demo is used to show how to write a agent tool \"\n parameters = {\n \"type\": \"string\",\n \"description\": \"the first parameter\"\n },\n \"parameter2\": {\n \"type\": \"integer\",\n \"description\": \"the second parameter\"\n }\n }\n def execute(self, parameter1: str, parameter2: int):\n ...\n" [2026-03-02 11:13:52,278] [agent.MEMORY] DEBUG: 💬 [USER] 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDemoTool(Base... [2026-03-02 11:13:52,278] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:13:52,278] [agent.LLM] INFO: 💭 分析意图: 生成agent技能工具用于实现当前系统进程状态查询，技能工具代码示例如下：\nclass MyDem... [2026-03-02 11:13:52,278] [agent.LLM] DEBUG: 📝 Prompt 已构造 (1047 chars) [2026-03-02 11:13:55,354] [agent.Monica] INFO: { "need_tool": true, "tool_name": "agent_skill_generator", "arguments": { "tool_name": "System Process State Query", "description": "A tool designed to retrieve the current state of system processes.", "parameters": { "query": { "type": "string", "description": "A keyword or query to filter specific system processes." } } }, "reasoning": "The user has requested to generate an agent skill tool that can query the current system process states with specific parameters. The `agent_skill_generator` is the appropriate tool to generate the required agent tool code." } [2026-03-02 11:13:55,354] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:13:55,354] [agent.LLM] DEBUG: 💡 推理: The user has requested to generate an agent skill tool that can query the current system process states with specific parameters. The `agent_skill_generator` is the appropriate tool to generate the required agent tool code. [2026-03-02 11:13:55,354] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'tool_name': 'System Process State Query', 'description': 'A tool designed to retrieve the current state of system processes.', 'parameters': {'query': {'type': 'string', 'description': 'A keyword or query to filter specific system processes.'}}} 请求体: {'jsonrpc': '2.0', 'id': 'a37c6fb6', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'tool_name': 'System Process State Query', 'description': 'A tool designed to retrieve the current state of system processes.', 'parameters': {'query': {'type': 'string', 'description': 'A keyword or query to filter specific system processes.'}}}}} [2026-03-02 11:13:55,354] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:13:55,354] [agent.MCP] INFO: 📨 收到请求 id=a37c6fb6 method=tools/call [2026-03-02 11:13:55,354] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'tool_name': 'System Process State Query', 'description': 'A tool designed to retrieve the current state of system processes.', 'parameters': {'query': {'type': 'string', 'description': 'A keyword or query to filter specific system processes.'}}} [2026-03-02 11:13:55,354] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'tool_name' [2026-03-02 11:13:55,354] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'tool_name'"} [2026-03-02 11:24:14,691] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:24:14,691] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:24:14,691] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:24:14,691] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:24:14,691] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:24:14,692] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:24:14,692] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:24:14,692] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:24:14,729] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:24:14,730] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:24:14,730] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:24:35,048] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:24:35,048] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 生成agent技能工具用于实现当前系统进程状态查询 [2026-03-02 11:24:35,048] [agent.MEMORY] DEBUG: 💬 [USER] 生成agent技能工具用于实现当前系统进程状态查询... [2026-03-02 11:24:35,048] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:24:35,048] [agent.LLM] INFO: 💭 分析意图: 生成agent技能工具用于实现当前系统进程状态查询... [2026-03-02 11:24:35,048] [agent.LLM] DEBUG: 📝 Prompt 已构造 (432 chars) [2026-03-02 11:24:37,629] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"description": "实现当前系统进程状态查询"}, "reasoning": "用户请求生成一个agent技能工具用于查询当前系统进程状态，这要求创建一个相关功能的工具，而agent_skill_generator正是为了生成这样的工具。"} [2026-03-02 11:24:37,630] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:24:37,630] [agent.LLM] DEBUG: 💡 推理: 用户请求生成一个agent技能工具用于查询当前系统进程状态，这要求创建一个相关功能的工具，而agent_skill_generator正是为了生成这样的工具。 [2026-03-02 11:24:37,630] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'description': '实现当前系统进程状态查询'} 请求体: {'jsonrpc': '2.0', 'id': '7aa01ed6', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'description': '实现当前系统进程状态查询'}}} [2026-03-02 11:24:37,630] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:24:37,630] [agent.MCP] INFO: 📨 收到请求 id=7aa01ed6 method=tools/call [2026-03-02 11:24:37,630] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'description': '实现当前系统进程状态查询'} [2026-03-02 11:24:37,630] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'description' [2026-03-02 11:24:37,630] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'description'"} [2026-03-02 11:30:16,159] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:30:16,159] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:30:16,160] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:30:16,160] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:30:16,160] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:30:16,160] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:30:16,160] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:30:16,160] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:30:16,199] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:30:16,200] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:30:16,200] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:30:31,049] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:30:31,049] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 生成agent技能工具用于实现当前系统进程状态查询 [2026-03-02 11:30:31,049] [agent.MEMORY] DEBUG: 💬 [USER] 生成agent技能工具用于实现当前系统进程状态查询... [2026-03-02 11:30:31,049] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:30:31,049] [agent.LLM] INFO: 💭 分析意图: 生成agent技能工具用于实现当前系统进程状态查询... [2026-03-02 11:30:31,049] [agent.LLM] DEBUG: 📝 Prompt 已构造 (432 chars) [2026-03-02 11:30:33,326] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"description": "实现当前系统进程状态查询的工具"}, "reasoning": "用户请求生成一个agent技能工具用于查询当前系统的进程状态，符合agent_skill_generator工具的功能需求。"} [2026-03-02 11:30:33,327] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:30:33,327] [agent.LLM] DEBUG: 💡 推理: 用户请求生成一个agent技能工具用于查询当前系统的进程状态，符合agent_skill_generator工具的功能需求。 [2026-03-02 11:30:33,327] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'description': '实现当前系统进程状态查询的工具'} 请求体: {'jsonrpc': '2.0', 'id': '2f435cb4', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'description': '实现当前系统进程状态查询的工具'}}} [2026-03-02 11:30:33,327] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:30:33,327] [agent.MCP] INFO: 📨 收到请求 id=2f435cb4 method=tools/call [2026-03-02 11:30:33,327] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'description': '实现当前系统进程状态查询的工具'} [2026-03-02 11:30:33,327] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'description' [2026-03-02 11:30:33,327] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'description'"} [2026-03-02 11:30:54,686] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:30:54,686] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:30:54,686] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:30:54,686] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:30:54,686] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:30:54,687] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:30:54,687] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:30:54,687] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:30:54,725] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:30:54,725] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:30:54,725] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:31:54,249] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:31:54,249] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:31:54,249] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:31:54,249] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:31:54,249] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:31:54,249] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:31:54,249] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:31:54,250] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:31:54,291] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:31:54,291] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:31:54,292] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:32:03,024] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:32:03,024] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: create tool to get system name [2026-03-02 11:32:03,025] [agent.MEMORY] DEBUG: 💬 [USER] create tool to get system name... [2026-03-02 11:32:03,025] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:32:03,025] [agent.LLM] INFO: 💭 分析意图: create tool to get system name... [2026-03-02 11:32:03,025] [agent.LLM] DEBUG: 📝 Prompt 已构造 (442 chars) [2026-03-02 11:32:05,556] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"task_description": "Create a tool to retrieve the name of the system or operating system."}, "reasoning": "The user wants to create a tool capable of retrieving the system name. This requires generating code for the tool, which falls under the capabilities of the 'agent_skill_generator' tool."} [2026-03-02 11:32:05,556] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:32:05,557] [agent.LLM] DEBUG: 💡 推理: The user wants to create a tool capable of retrieving the system name. This requires generating code for the tool, which falls under the capabilities of the 'agent_skill_generator' tool. [2026-03-02 11:32:05,557] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'task_description': 'Create a tool to retrieve the name of the system or operating system.'} 请求体: {'jsonrpc': '2.0', 'id': '40b58637', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'task_description': 'Create a tool to retrieve the name of the system or operating system.'}}} [2026-03-02 11:32:05,557] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:32:05,557] [agent.MCP] INFO: 📨 收到请求 id=40b58637 method=tools/call [2026-03-02 11:32:05,557] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'task_description': 'Create a tool to retrieve the name of the system or operating system.'} [2026-03-02 11:32:05,557] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'task_description' [2026-03-02 11:32:05,557] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'task_description'"} [2026-03-02 11:34:15,429] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:34:15,430] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:34:15,430] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:34:15,430] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:34:15,430] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:34:15,430] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:34:15,430] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:34:15,430] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:34:15,468] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:34:15,468] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:34:15,468] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:34:22,464] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:34:22,465] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: create tool to get system name [2026-03-02 11:34:22,465] [agent.MEMORY] DEBUG: 💬 [USER] create tool to get system name... [2026-03-02 11:34:22,465] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:34:22,465] [agent.LLM] INFO: 💭 分析意图: create tool to get system name... [2026-03-02 11:34:22,465] [agent.LLM] DEBUG: 📝 Prompt 已构造 (442 chars) [2026-03-02 11:34:24,754] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"description": "A tool to retrieve the name of the operating system or system information."}, "reasoning": "The task involves creating a specialized tool, which aligns with the purpose of the 'agent_skill_generator' to generate agent tools based on user requirements."} [2026-03-02 11:34:24,754] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:34:24,754] [agent.LLM] DEBUG: 💡 推理: The task involves creating a specialized tool, which aligns with the purpose of the 'agent_skill_generator' to generate agent tools based on user requirements. [2026-03-02 11:34:24,755] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'description': 'A tool to retrieve the name of the operating system or system information.'} 请求体: {'jsonrpc': '2.0', 'id': '29799203', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'description': 'A tool to retrieve the name of the operating system or system information.'}}} [2026-03-02 11:34:24,755] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:34:24,755] [agent.MCP] INFO: 📨 收到请求 id=29799203 method=tools/call [2026-03-02 11:34:24,755] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'description': 'A tool to retrieve the name of the operating system or system information.'} [2026-03-02 11:34:24,755] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() missing 3 required positional arguments: 'name', 'parameters', and 'execution_code' [2026-03-02 11:34:24,755] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() missing 3 required positional arguments: 'name', 'parameters', and 'execution_code'"} [2026-03-02 11:35:56,812] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:35:56,812] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:35:56,813] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:35:56,813] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:35:56,813] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:35:56,813] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:35:56,813] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:35:56,813] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:35:56,850] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:35:56,850] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:35:56,851] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:36:13,470] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:36:13,470] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: create tool to get system name [2026-03-02 11:36:13,470] [agent.MEMORY] DEBUG: 💬 [USER] create tool to get system name... [2026-03-02 11:36:13,470] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:36:13,470] [agent.LLM] INFO: 💭 分析意图: create tool to get system name... [2026-03-02 11:36:13,471] [agent.LLM] DEBUG: 📝 Prompt 已构造 (442 chars) [2026-03-02 11:36:15,863] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"description": "Generate a tool to fetch the system name of the machine it is run on.", "input_format": "", "output_format": "The system name as a string."}, "reasoning": "The user requested to create a tool that retrieves the system name, which requires generating a specific agent skill to achieve this functionality."} [2026-03-02 11:36:15,863] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:36:15,863] [agent.LLM] DEBUG: 💡 推理: The user requested to create a tool that retrieves the system name, which requires generating a specific agent skill to achieve this functionality. [2026-03-02 11:36:15,863] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'description': 'Generate a tool to fetch the system name of the machine it is run on.', 'input_format': '', 'output_format': 'The system name as a string.'} 请求体: {'jsonrpc': '2.0', 'id': 'c03b28f1', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'description': 'Generate a tool to fetch the system name of the machine it is run on.', 'input_format': '', 'output_format': 'The system name as a string.'}}} [2026-03-02 11:36:15,863] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:36:15,863] [agent.MCP] INFO: 📨 收到请求 id=c03b28f1 method=tools/call [2026-03-02 11:36:15,863] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'description': 'Generate a tool to fetch the system name of the machine it is run on.', 'input_format': '', 'output_format': 'The system name as a string.'} [2026-03-02 11:36:15,864] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'input_format' [2026-03-02 11:36:15,864] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'input_format'"} [2026-03-02 11:36:54,380] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:36:54,380] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate python function to get system name [2026-03-02 11:36:54,380] [agent.MEMORY] DEBUG: 💬 [USER] generate python function to get system name... [2026-03-02 11:36:54,380] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:36:54,380] [agent.LLM] INFO: 💭 分析意图: generate python function to get system name... [2026-03-02 11:36:54,380] [agent.LLM] DEBUG: 📝 Prompt 已构造 (506 chars) [2026-03-02 11:36:56,964] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"request": "generate a Python function to get the system name"}, "reasoning": "The user has requested the generation of a Python function to get the system name, which can be fulfilled using the 'agent_skill_generator' tool that creates agent tools or code snippets."} [2026-03-02 11:36:56,964] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:36:56,964] [agent.LLM] DEBUG: 💡 推理: The user has requested the generation of a Python function to get the system name, which can be fulfilled using the 'agent_skill_generator' tool that creates agent tools or code snippets. [2026-03-02 11:36:56,965] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'request': 'generate a Python function to get the system name'} 请求体: {'jsonrpc': '2.0', 'id': 'e985d57b', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'request': 'generate a Python function to get the system name'}}} [2026-03-02 11:36:56,965] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:36:56,965] [agent.MCP] INFO: 📨 收到请求 id=e985d57b method=tools/call [2026-03-02 11:36:56,965] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'request': 'generate a Python function to get the system name'} [2026-03-02 11:36:56,965] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'request' [2026-03-02 11:36:56,966] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() got an unexpected keyword argument 'request'"} [2026-03-02 11:37:17,360] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:37:17,361] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:37:17,361] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:37:17,361] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:37:17,361] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:37:17,361] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:37:17,361] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:37:17,361] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:37:17,398] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:37:17,398] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:37:17,399] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:37:33,225] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:37:33,225] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate python tool to get system name [2026-03-02 11:37:33,226] [agent.MEMORY] DEBUG: 💬 [USER] generate python tool to get system name... [2026-03-02 11:37:33,226] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:37:33,226] [agent.LLM] INFO: 💭 分析意图: generate python tool to get system name... [2026-03-02 11:37:33,226] [agent.LLM] DEBUG: 📝 Prompt 已构造 (460 chars) [2026-03-02 11:37:35,615] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"description": "A python tool to get the system name"}, "reasoning": "The user is requesting a Python tool that retrieves the system name. To fulfill this request, the agent_skill_generator is the appropriate tool to generate this code."} [2026-03-02 11:37:35,615] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:37:35,615] [agent.LLM] DEBUG: 💡 推理: The user is requesting a Python tool that retrieves the system name. To fulfill this request, the agent_skill_generator is the appropriate tool to generate this code. [2026-03-02 11:37:35,615] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'description': 'A python tool to get the system name'} 请求体: {'jsonrpc': '2.0', 'id': '1bbc8950', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'description': 'A python tool to get the system name'}}} [2026-03-02 11:37:35,615] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:37:35,615] [agent.MCP] INFO: 📨 收到请求 id=1bbc8950 method=tools/call [2026-03-02 11:37:35,615] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'description': 'A python tool to get the system name'} [2026-03-02 11:37:35,615] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: AgentSkillGeneratorTool.execute() missing 3 required positional arguments: 'name', 'parameters', and 'code' [2026-03-02 11:37:35,615] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: AgentSkillGeneratorTool.execute() missing 3 required positional arguments: 'name', 'parameters', and 'code'"} [2026-03-02 11:40:22,719] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:40:22,719] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:40:22,720] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:40:22,720] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:40:22,720] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:40:22,720] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:40:22,720] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:40:22,720] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:40:22,757] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:40:22,758] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:40:22,758] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:41:21,329] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:41:21,330] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:41:21,330] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:41:21,330] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:41:21,330] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:41:21,330] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:41:21,330] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:41:21,330] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:41:21,368] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:41:21,369] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:41:21,369] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:41:26,744] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:41:26,745] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: create a tool to get system name [2026-03-02 11:41:26,745] [agent.MEMORY] DEBUG: 💬 [USER] create a tool to get system name... [2026-03-02 11:41:26,745] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:41:26,745] [agent.LLM] INFO: 💭 分析意图: create a tool to get system name... [2026-03-02 11:41:26,745] [agent.LLM] DEBUG: 📝 Prompt 已构造 (446 chars) [2026-03-02 11:41:28,904] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"prompt": "Create a tool to get the operating system name of the current system in Python"}, "reasoning": "To create a tool for retrieving the system name, I should use the 'agent_skill_generator' tool to define and construct this functionality."} [2026-03-02 11:41:28,904] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:41:28,905] [agent.LLM] DEBUG: 💡 推理: To create a tool for retrieving the system name, I should use the 'agent_skill_generator' tool to define and construct this functionality. [2026-03-02 11:41:28,905] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'prompt': 'Create a tool to get the operating system name of the current system in Python'} 请求体: {'jsonrpc': '2.0', 'id': 'b4653973', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'prompt': 'Create a tool to get the operating system name of the current system in Python'}}} [2026-03-02 11:41:28,905] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:41:28,905] [agent.MCP] INFO: 📨 收到请求 id=b4653973 method=tools/call [2026-03-02 11:41:28,905] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'prompt': 'Create a tool to get the operating system name of the current system in Python'} [2026-03-02 11:41:28,905] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: ToolGeneratorTool.execute() got an unexpected keyword argument 'prompt' [2026-03-02 11:41:28,905] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: ToolGeneratorTool.execute() got an unexpected keyword argument 'prompt'"} [2026-03-02 11:41:58,733] [agent.MEMORY] INFO: 🗑 对话历史已清空 [2026-03-02 11:41:58,733] [agent.CLIENT] INFO: 🗑 会话已清空 [2026-03-02 11:42:03,610] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 11:42:03,611] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 11:42:03,611] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 11:42:03,611] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 11:42:03,611] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 11:42:03,611] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 11:42:03,611] [agent.MCP] INFO: 📌 注册工具: [agent_skill_generator] — 生成agent工具代码 [2026-03-02 11:42:03,611] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 11:42:03,650] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 11:42:03,650] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 11:42:03,650] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'agent_skill_generator'] [2026-03-02 11:42:09,009] [agent.CLIENT] INFO: ======================================================= [2026-03-02 11:42:09,009] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: create tool to get system name [2026-03-02 11:42:09,009] [agent.MEMORY] DEBUG: 💬 [USER] create tool to get system name... [2026-03-02 11:42:09,009] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 11:42:09,009] [agent.LLM] INFO: 💭 分析意图: create tool to get system name... [2026-03-02 11:42:09,009] [agent.LLM] DEBUG: 📝 Prompt 已构造 (442 chars) [2026-03-02 11:42:11,109] [agent.Monica] INFO: {"need_tool": true, "tool_name": "agent_skill_generator", "arguments": {"description": "A tool to retrieve the system's name or hostname"}, "reasoning": "The user wants to create a tool to retrieve the system's name, which requires generating custom code for a new tool. The appropriate action is to use the 'agent_skill_generator' tool to create this functionality."} [2026-03-02 11:42:11,109] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [agent_skill_generator] [2026-03-02 11:42:11,109] [agent.LLM] DEBUG: 💡 推理: The user wants to create a tool to retrieve the system's name, which requires generating custom code for a new tool. The appropriate action is to use the 'agent_skill_generator' tool to create this functionality. [2026-03-02 11:42:11,109] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: agent_skill_generator 参数: {'description': "A tool to retrieve the system's name or hostname"} 请求体: {'jsonrpc': '2.0', 'id': 'da607239', 'method': 'tools/call', 'params': {'name': 'agent_skill_generator', 'arguments': {'description': "A tool to retrieve the system's name or hostname"}}} [2026-03-02 11:42:11,109] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [agent_skill_generator]... [2026-03-02 11:42:11,109] [agent.MCP] INFO: 📨 收到请求 id=da607239 method=tools/call [2026-03-02 11:42:11,110] [agent.TOOL] INFO: ▶ 执行工具 [agent_skill_generator]，参数: {'description': "A tool to retrieve the system's name or hostname"} [2026-03-02 11:42:11,110] [agent.TOOL] ERROR: ❌ 工具 [agent_skill_generator] 执行失败: ToolGeneratorTool.execute() missing 3 required positional arguments: 'name', 'parameters', and 'code' [2026-03-02 11:42:11,110] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: ToolGeneratorTool.execute() missing 3 required positional arguments: 'name', 'parameters', and 'code'"} [2026-03-02 13:46:40,526] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 13:46:40,527] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 13:46:40,527] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 13:46:40,527] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 13:46:40,527] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 13:46:40,527] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 13:46:40,527] [agent.MCP] INFO: 📌 注册工具: [tool_generator] — 生成agent工具代码 [2026-03-02 13:46:40,527] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 13:46:51,425] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 13:46:51,425] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 13:46:51,425] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 13:46:51,425] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 13:46:51,426] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 13:46:51,426] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 13:46:51,426] [agent.MCP] INFO: 📌 注册工具: [tool_generator] — 生成agent工具代码 [2026-03-02 13:46:51,426] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 13:46:51,468] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 13:46:51,468] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 13:46:51,469] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'tool_generator'] [2026-03-02 13:47:26,677] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 13:47:26,678] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 13:47:26,678] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 13:47:26,678] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 13:47:26,678] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 13:47:26,678] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 13:47:26,678] [agent.MCP] INFO: 📌 注册工具: [tool_generator] — 生成agent工具代码 [2026-03-02 13:47:26,678] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 13:47:26,718] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 13:47:26,718] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 13:47:26,719] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'tool_generator'] [2026-03-02 13:47:37,167] [agent.CLIENT] INFO: ======================================================= [2026-03-02 13:47:37,167] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate a python function to get system's name [2026-03-02 13:47:37,167] [agent.MEMORY] DEBUG: 💬 [USER] generate a python function to get system's name... [2026-03-02 13:47:37,167] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 13:47:37,167] [agent.LLM] INFO: 💭 分析意图: generate a python function to get system's name... [2026-03-02 13:47:37,167] [agent.LLM] DEBUG: 📝 Prompt 已构造 (469 chars) [2026-03-02 13:47:39,191] [agent.Monica] INFO: {"need_tool": false, "tool_name": "", "arguments": {}, "reasoning": "The task involves generating a Python function, which can be done directly without requiring the use of any tools."} [2026-03-02 13:47:39,191] [agent.LLM] INFO: 🎯 决策结果: 直接回复 [2026-03-02 13:47:39,191] [agent.LLM] DEBUG: 💡 推理: The task involves generating a Python function, which can be done directly without requiring the use of any tools. [2026-03-02 13:47:39,191] [agent.CLIENT] INFO: 💬 无需工具，直接生成回复 [2026-03-02 13:47:39,191] [agent.LLM] INFO: 💬 直接生成回复（无需工具） [2026-03-02 13:47:39,191] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] [gpt-4o] 您好！关于「generate a python function to get system's na... [2026-03-02 14:10:27,448] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 14:10:27,448] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 14:10:27,448] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 14:10:27,448] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 14:10:27,449] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 14:10:27,449] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 14:10:27,449] [agent.MCP] INFO: 📌 注册工具: [tool_generator] — 生成agent工具代码 [2026-03-02 14:10:27,449] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 14:10:27,487] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 14:10:27,487] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 14:10:27,488] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'tool_generator'] [2026-03-02 14:10:39,389] [agent.CLIENT] INFO: ======================================================= [2026-03-02 14:10:39,389] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate a python function to get system's name [2026-03-02 14:10:39,389] [agent.MEMORY] DEBUG: 💬 [USER] generate a python function to get system's name... [2026-03-02 14:10:39,389] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 14:10:39,389] [agent.LLM] INFO: 💭 分析意图: generate a python function to get system's name... [2026-03-02 14:10:39,390] [agent.LLM] DEBUG: 📝 Prompt 已构造 (469 chars) [2026-03-02 14:10:43,803] [agent.Monica] INFO: {"need_tool": false, "tool_name": "", "arguments": {}, "reasoning": "The task can be accomplished without any tools by providing a Python code snippet to get the system's name using the platform module."} [2026-03-02 14:10:43,803] [agent.LLM] INFO: 🎯 决策结果: 直接回复 [2026-03-02 14:10:43,803] [agent.LLM] DEBUG: 💡 推理: The task can be accomplished without any tools by providing a Python code snippet to get the system's name using the platform module. [2026-03-02 14:10:43,803] [agent.CLIENT] INFO: 💬 无需工具，直接生成回复 [2026-03-02 14:10:43,803] [agent.LLM] INFO: 💬 直接生成回复（无需工具） [2026-03-02 14:10:45,852] [agent.Monica] INFO: Here is a Python function to get the system's name using the `platform` module: ```python import platform def get_system_name(): """ Returns the name of the system/OS. For example: 'Windows', 'Linux', 'Darwin' (for macOS) """ return platform.system() # Example usage if __name__ == "__main__": print("System name:", get_system_name()) ``` This function uses the `platform.system()` method, which retrieves the name of the operating system your script is running on. For example, it will return `'Windows'` for Windows systems, `'Linux'` for Linux systems, or `'Darwin'` for macOS. [2026-03-02 14:12:22,700] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 14:12:22,700] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 14:12:22,701] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 14:12:22,701] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 14:12:22,701] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 14:12:22,701] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 14:12:22,701] [agent.MCP] INFO: 📌 注册工具: [tool_generator] — 生成agent工具代码 [2026-03-02 14:12:22,701] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 14:12:22,741] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 14:12:22,741] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 14:12:22,742] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'tool_generator'] [2026-03-02 14:12:33,611] [agent.CLIENT] INFO: ======================================================= [2026-03-02 14:12:33,611] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate a python function to get system's name [2026-03-02 14:12:33,612] [agent.MEMORY] DEBUG: 💬 [USER] generate a python function to get system's name... [2026-03-02 14:12:33,612] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 14:12:33,612] [agent.LLM] INFO: 💭 分析意图: generate a python function to get system's name... [2026-03-02 14:12:33,612] [agent.LLM] DEBUG: 📝 Prompt 已构造 (469 chars) [2026-03-02 14:12:35,773] [agent.Monica] INFO: {"need_tool": false, "tool_name": "", "arguments": {}, "reasoning": "To generate a Python function that retrieves a system's name, no tool needs to be invoked; providing the Python code directly is sufficient."} [2026-03-02 14:12:35,773] [agent.LLM] INFO: 🎯 决策结果: 直接回复 [2026-03-02 14:12:35,773] [agent.LLM] DEBUG: 💡 推理: To generate a Python function that retrieves a system's name, no tool needs to be invoked; providing the Python code directly is sufficient. [2026-03-02 14:12:35,773] [agent.CLIENT] INFO: 💬 无需工具，直接生成回复 [2026-03-02 14:12:35,773] [agent.LLM] INFO: 💬 直接生成回复（无需工具） [2026-03-02 14:12:37,842] [agent.Monica] INFO: Here is a Python function to get the system's name using the `platform` module: ```python import platform def get_system_name(): """ This function retrieves the system's name. Returns: str: The name of the operating system (e.g., 'Windows', 'Linux', 'Darwin'). """ system_name = platform.system() return system_name # Example usage if __name__ == "__main__": print(f"System Name: {get_system_name()}") ``` The function `get_system_name()` uses `platform.system()` to determine the system's name. This will return values such as: - `Windows` for Windows, - `Linux` for Linux-based systems, - `Darwin` for macOS systems. [2026-03-02 14:12:37,842] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] Here is a Python function to get the system's name using the... [2026-03-02 14:13:24,958] [agent.CLIENT] INFO: ======================================================= [2026-03-02 14:13:24,959] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 将生成的代码转换成本地工具用于调用 [2026-03-02 14:13:24,959] [agent.MEMORY] DEBUG: 💬 [USER] 将生成的代码转换成本地工具用于调用... [2026-03-02 14:13:24,959] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 14:13:24,959] [agent.LLM] INFO: 💭 分析意图: 将生成的代码转换成本地工具用于调用... [2026-03-02 14:13:24,959] [agent.LLM] DEBUG: 📝 Prompt 已构造 (557 chars) [2026-03-02 14:13:29,677] [agent.Monica] INFO: { "need_tool": true, "tool_name": "tool_generator", "arguments": { "code": "import platform\ndef get_system_name():\n return platform.system()" }, "reasoning": "The user wants to convert the previously generated code into a local tool for calling, which can be achieved using the tool_generator by providing the generated code." } [2026-03-02 14:13:29,678] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [tool_generator] [2026-03-02 14:13:29,678] [agent.LLM] DEBUG: 💡 推理: The user wants to convert the previously generated code into a local tool for calling, which can be achieved using the tool_generator by providing the generated code. [2026-03-02 14:13:29,678] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: tool_generator 参数: {'code': 'import platform\ndef get_system_name():\n return platform.system()'} 请求体: {'jsonrpc': '2.0', 'id': 'a7e1eee2', 'method': 'tools/call', 'params': {'name': 'tool_generator', 'arguments': {'code': 'import platform\ndef get_system_name():\n return platform.system()'}}} [2026-03-02 14:13:29,679] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [tool_generator]... [2026-03-02 14:13:29,679] [agent.MCP] INFO: 📨 收到请求 id=a7e1eee2 method=tools/call [2026-03-02 14:13:29,679] [agent.TOOL] INFO: ▶ 执行工具 [tool_generator]，参数: {'code': 'import platform\ndef get_system_name():\n return platform.system()'} [2026-03-02 14:13:29,679] [agent.TOOL] ERROR: ❌ 工具 [tool_generator] 执行失败: ToolGeneratorTool.execute() missing 3 required positional arguments: 'name', 'description', and 'parameters' [2026-03-02 14:13:29,680] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: ToolGeneratorTool.execute() missing 3 required positional arguments: 'name', 'description', and 'parameters'"} [2026-03-02 14:16:50,715] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统... [2026-03-02 14:16:50,716] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-02 14:16:50,716] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-02 14:16:50,716] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-02 14:16:50,716] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限 workspace/ 目录下的文件 [2026-03-02 14:16:50,716] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-02 14:16:50,716] [agent.MCP] INFO: 📌 注册工具: [tool_generator] — 生成agent工具代码 [2026-03-02 14:16:50,716] [agent.LLM] INFO: 🧠 LLM 引擎初始化，模型: gpt-4o [2026-03-02 14:16:50,754] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-02 14:16:50,754] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成 [2026-03-02 14:16:50,754] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'tool_generator'] [2026-03-02 14:17:52,746] [agent.CLIENT] INFO: ======================================================= [2026-03-02 14:17:52,746] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate the python code to get system's name and generate a tool with the code [2026-03-02 14:17:52,746] [agent.MEMORY] DEBUG: 💬 [USER] generate the python code to get system's name and generate a... [2026-03-02 14:17:52,746] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 14:17:52,746] [agent.LLM] INFO: 💭 分析意图: generate the python code to get system's name and ... [2026-03-02 14:17:52,746] [agent.LLM] DEBUG: 📝 Prompt 已构造 (533 chars) [2026-03-02 14:17:55,200] [agent.Monica] INFO: {"need_tool": true, "tool_name": "tool_generator", "arguments": {"code": "import platform\n\ndef get_system_name():\n return platform.system()"}, "reasoning": "The user explicitly requested to generate a Python script that retrieves the system's name, and to create a tool based on that code. The provided tool_generator is appropriate for this task."} [2026-03-02 14:17:55,200] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [tool_generator] [2026-03-02 14:17:55,200] [agent.LLM] DEBUG: 💡 推理: The user explicitly requested to generate a Python script that retrieves the system's name, and to create a tool based on that code. The provided tool_generator is appropriate for this task. [2026-03-02 14:17:55,200] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: tool_generator 参数: {'code': 'import platform\n\ndef get_system_name():\n return platform.system()'} 请求体: {'jsonrpc': '2.0', 'id': '6adf8eba', 'method': 'tools/call', 'params': {'name': 'tool_generator', 'arguments': {'code': 'import platform\n\ndef get_system_name():\n return platform.system()'}}} [2026-03-02 14:17:55,200] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [tool_generator]... [2026-03-02 14:17:55,201] [agent.MCP] INFO: 📨 收到请求 id=6adf8eba method=tools/call [2026-03-02 14:17:55,201] [agent.TOOL] INFO: ▶ 执行工具 [tool_generator]，参数: {'code': 'import platform\n\ndef get_system_name():\n return platform.system()'} [2026-03-02 14:17:55,201] [agent.TOOL] ERROR: ❌ 工具 [tool_generator] 执行失败: ToolGeneratorTool.execute() missing 3 required positional arguments: 'name', 'description', and 'parameters' [2026-03-02 14:17:55,201] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: ToolGeneratorTool.execute() missing 3 required positional arguments: 'name', 'description', and 'parameters'"} [2026-03-02 14:21:07,265] [agent.CLIENT] INFO: ======================================================= [2026-03-02 14:21:07,266] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate the python function to get system's name and then generate the a tool with the code that includes tool name, tool description [2026-03-02 14:21:07,266] [agent.MEMORY] DEBUG: 💬 [USER] generate the python function to get system's name and then g... [2026-03-02 14:21:07,266] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 14:21:07,266] [agent.LLM] INFO: 💭 分析意图: generate the python function to get system's name ... [2026-03-02 14:21:07,266] [agent.LLM] DEBUG: 📝 Prompt 已构造 (676 chars) [2026-03-02 14:21:09,618] [agent.Monica] INFO: {"need_tool": true, "tool_name": "tool_generator", "arguments": {"code": "def get_system_name():\n import platform\n return platform.system()", "tool_name": "get_system_name_tool", "tool_description": "A tool to retrieve the name of the operating system."}, "reasoning": "User wants to generate a tool based on the Python function for retrieving the system's name. The tool_generator is appropriate for creating such a tool with the provided code, name, and description."} [2026-03-02 14:21:09,618] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [tool_generator] [2026-03-02 14:21:09,618] [agent.LLM] DEBUG: 💡 推理: User wants to generate a tool based on the Python function for retrieving the system's name. The tool_generator is appropriate for creating such a tool with the provided code, name, and description. [2026-03-02 14:21:09,618] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: tool_generator 参数: {'code': 'def get_system_name():\n import platform\n return platform.system()', 'tool_name': 'get_system_name_tool', 'tool_description': 'A tool to retrieve the name of the operating system.'} 请求体: {'jsonrpc': '2.0', 'id': '766f288c', 'method': 'tools/call', 'params': {'name': 'tool_generator', 'arguments': {'code': 'def get_system_name():\n import platform\n return platform.system()', 'tool_name': 'get_system_name_tool', 'tool_description': 'A tool to retrieve the name of the operating system.'}}} [2026-03-02 14:21:09,618] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [tool_generator]... [2026-03-02 14:21:09,618] [agent.MCP] INFO: 📨 收到请求 id=766f288c method=tools/call [2026-03-02 14:21:09,618] [agent.TOOL] INFO: ▶ 执行工具 [tool_generator]，参数: {'code': 'def get_system_name():\n import platform\n return platform.system()', 'tool_name': 'get_system_name_tool', 'tool_description': 'A tool to retrieve the name of the operating system.'} [2026-03-02 14:21:09,618] [agent.TOOL] ERROR: ❌ 工具 [tool_generator] 执行失败: ToolGeneratorTool.execute() got an unexpected keyword argument 'tool_name' [2026-03-02 14:21:09,618] [agent.CLIENT] ERROR: ❌ 工具调用失败: {'code': -32000, 'message': "工具执行异常: ToolGeneratorTool.execute() got an unexpected keyword argument 'tool_name'"} [2026-03-02 14:27:41,610] [agent.CLIENT] INFO: ======================================================= [2026-03-02 14:27:41,610] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: generate the python function to get system's name and then generate the a tool with the code that includes tool name, tool description, tool parameters and code. [2026-03-02 14:27:41,611] [agent.MEMORY] DEBUG: 💬 [USER] generate the python function to get system's name and then g... [2026-03-02 14:27:41,611] [agent.CLIENT] INFO: 🧠 Step 2 [LLM] 开始推理，分析意图... [2026-03-02 14:27:41,611] [agent.LLM] INFO: 💭 分析意图: generate the python function to get system's name ... [2026-03-02 14:27:41,611] [agent.LLM] DEBUG: 📝 Prompt 已构造 (791 chars) [2026-03-02 14:27:44,132] [agent.Monica] INFO: { "need_tool": true, "tool_name": "tool_generator", "arguments": { "name": "get_system_name", "description": "Returns the name of the operating system of the machine.", "parameters": {}, "code": "import platform\ndef get_system_name():\n return platform.system()" }, "reasoning": "The user requested to generate a Python function that retrieves the system's name and then encapsulate it into a tool with specified attributes such as tool name, description, parameters, and code. To accomplish this task, the `tool_generator` utility can be used with the specified parameters." } [2026-03-02 14:27:44,133] [agent.LLM] INFO: 🎯 决策结果: 调用工具 [tool_generator] [2026-03-02 14:27:44,133] [agent.LLM] DEBUG: 💡 推理: The user requested to generate a Python function that retrieves the system's name and then encapsulate it into a tool with specified attributes such as tool name, description, parameters, and code. To accomplish this task, the `tool_generator` utility can be used with the specified parameters. [2026-03-02 14:27:44,133] [agent.CLIENT] INFO: 📡 Step 3 [MCP] 发送工具调用请求 方法: tools/call 工具: tool_generator 参数: {'name': 'get_system_name', 'description': 'Returns the name of the operating system of the machine.', 'parameters': {}, 'code': 'import platform\ndef get_system_name():\n return platform.system()'} 请求体: {'jsonrpc': '2.0', 'id': '9118bd32', 'method': 'tools/call', 'params': {'name': 'tool_generator', 'arguments': {'name': 'get_system_name', 'description': 'Returns the name of the operating system of the machine.', 'parameters': {}, 'code': 'import platform\ndef get_system_name():\n return platform.system()'}}} [2026-03-02 14:27:44,134] [agent.CLIENT] INFO: 🔧 Step 4 [TOOL] MCP Server 执行工具 [tool_generator]... [2026-03-02 14:27:44,134] [agent.MCP] INFO: 📨 收到请求 id=9118bd32 method=tools/call [2026-03-02 14:27:44,134] [agent.TOOL] INFO: ▶ 执行工具 [tool_generator]，参数: {'name': 'get_system_name', 'description': 'Returns the name of the operating system of the machine.', 'parameters': {}, 'code': 'import platform\ndef get_system_name():\n return platform.system()'} [2026-03-02 14:27:44,134] [agent.TOOL] INFO: ✅ 工具 [tool_generator] 执行成功 [2026-03-09 13:11:25,019] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（配置文件驱动）... [2026-03-09 13:11:25,019] [agent.SYSTEM] INFO: ────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────── [LLM] provider = anthropic [LLM] model_name = claude-sonnet-4-6 [LLM] model_path = (未设置) [LLM] api_key = (未设置) [LLM] temperature = 0.7 [MCP] server_name = DemoMCPServer [MCP] transport = stdio [MCP] tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [MEMORY] max_history = 20 [AGENT] multi_step = True [AGENT] max_steps = 10 [LOG] level = DEBUG ────────────────────────────────────────────────── [2026-03-09 13:11:25,020] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 13:11:25,020] [agent.MCP] INFO: transport = stdio [2026-03-09 13:11:25,020] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:11:25,021] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 13:11:25,021] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 13:11:25,021] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 13:11:25,022] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 13:11:25,022] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 13:11:25,022] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 13:11:25,022] [agent.TOOL] DEBUG: ⚙️ CodeExecutor timeout=5s, sandbox=True [2026-03-09 13:11:25,022] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-09 13:11:25,023] [agent.LLM] INFO: 🧠 LLM 引擎初始化 [2026-03-09 13:11:25,024] [agent.LLM] INFO: provider = anthropic [2026-03-09 13:11:25,024] [agent.LLM] INFO: model_name = claude-sonnet-4-6 [2026-03-09 13:11:25,024] [agent.LLM] INFO: model_path = (未设置) [2026-03-09 13:11:25,025] [agent.LLM] INFO: api_base = (默认) [2026-03-09 13:11:25,025] [agent.LLM] INFO: temperature= 0.7 [2026-03-09 13:11:25,025] [agent.LLM] INFO: max_tokens = 4096 [2026-03-09 13:11:25,026] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-09 13:11:25,027] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成（支持多步串行调用） [2026-03-09 13:11:25,027] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:14:47,765] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（配置文件驱动）... [2026-03-09 13:14:47,768] [agent.SYSTEM] INFO: ────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────── [LLM] provider = anthropic [LLM] model_name = claude-sonnet-4-6 [LLM] model_path = (未设置) [LLM] api_key = (未设置) [LLM] temperature = 0.7 [MCP] server_name = DemoMCPServer [MCP] transport = stdio [MCP] tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [MEMORY] max_history = 20 [AGENT] multi_step = True [AGENT] max_steps = 10 [LOG] level = DEBUG ────────────────────────────────────────────────── [2026-03-09 13:14:47,769] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 13:14:47,769] [agent.MCP] INFO: transport = stdio [2026-03-09 13:14:47,769] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:14:47,770] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 13:14:47,770] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 13:14:47,770] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 13:14:47,770] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 13:14:47,771] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 13:14:47,771] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 13:14:47,771] [agent.TOOL] DEBUG: ⚙️ CodeExecutor timeout=5s, sandbox=True [2026-03-09 13:14:47,771] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-09 13:14:47,772] [agent.LLM] INFO: 🧠 LLM 引擎初始化 [2026-03-09 13:14:47,773] [agent.LLM] INFO: provider = anthropic [2026-03-09 13:14:47,773] [agent.LLM] INFO: model_name = claude-sonnet-4-6 [2026-03-09 13:14:47,773] [agent.LLM] INFO: model_path = (未设置) [2026-03-09 13:14:47,773] [agent.LLM] INFO: api_base = (默认) [2026-03-09 13:14:47,773] [agent.LLM] INFO: temperature= 0.7 [2026-03-09 13:14:47,774] [agent.LLM] INFO: max_tokens = 4096 [2026-03-09 13:14:47,775] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-09 13:14:47,776] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成（支持多步串行调用） [2026-03-09 13:14:47,777] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:15:29,737] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（配置文件驱动）... [2026-03-09 13:15:29,739] [agent.SYSTEM] INFO: ────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────── [LLM] provider = monica [LLM] model_name = gpt-4o [LLM] model_path = (未设置) [LLM] api_key = *** [LLM] temperature = 0.7 [MCP] server_name = MCPServer [MCP] transport = stdio [MCP] tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [MEMORY] max_history = 20 [AGENT] multi_step = True [AGENT] max_steps = 10 [LOG] level = DEBUG ────────────────────────────────────────────────── [2026-03-09 13:15:29,742] [agent.MCP] INFO: 🚀 MCP Server [MCPServer] 启动 [2026-03-09 13:15:29,743] [agent.MCP] INFO: transport = stdio [2026-03-09 13:15:29,743] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:15:29,745] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 13:15:29,745] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 13:15:29,745] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 13:15:29,745] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 13:15:29,746] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 13:15:29,746] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 13:15:29,747] [agent.TOOL] DEBUG: ⚙️ CodeExecutor timeout=5s, sandbox=True [2026-03-09 13:15:29,748] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-09 13:15:29,748] [agent.LLM] INFO: 🧠 LLM 引擎初始化 [2026-03-09 13:15:29,749] [agent.LLM] INFO: provider = monica [2026-03-09 13:15:29,749] [agent.LLM] INFO: model_name = gpt-4o [2026-03-09 13:15:29,749] [agent.LLM] INFO: model_path = (未设置) [2026-03-09 13:15:29,749] [agent.LLM] INFO: api_base = https://openapi.monica.im/v1 [2026-03-09 13:15:29,750] [agent.LLM] INFO: temperature= 0.7 [2026-03-09 13:15:29,750] [agent.LLM] INFO: max_tokens = 4096 [2026-03-09 13:15:29,751] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-09 13:15:29,752] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成（支持多步串行调用） [2026-03-09 13:15:29,752] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:17:27,993] [agent.CLIENT] INFO: ══════════════════════════════════════════════════════════ [2026-03-09 13:17:27,995] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 从从网络搜索获取系统名称的python代码并进行执行 [2026-03-09 13:17:27,996] [agent.CLIENT] INFO: ══════════════════════════════════════════════════════════ [2026-03-09 13:17:27,996] [agent.MEMORY] DEBUG: 💬 [USER] 从从网络搜索获取系统名称的python代码并进行执行... [2026-03-09 13:17:27,997] [agent.CLIENT] INFO: 🗺 Step 2 [LLM] 分析任务，规划工具调用链... [2026-03-09 13:17:27,997] [agent.LLM] INFO: 🗺 规划工具调用链 [gpt-4o]: 从从网络搜索获取系统名称的python代码并进行执行... [2026-03-09 13:17:27,998] [agent.LLM] DEBUG: 📝 Prompt 已构造 (436 chars) [2026-03-09 13:17:27,998] [agent.LLM] INFO: 📋 规划完成: ChainPlan(goal='从从网络搜索获取系统名称的python代码并进行执行', chain=[1]web_search) [2026-03-09 13:17:27,998] [agent.LLM] INFO: Step 1: [web_search] depends_on=[] — 网络搜索 [2026-03-09 13:17:27,998] [agent.CLIENT] INFO: ────────────────────────────────────────────────────────── 🔗 开始执行工具调用链 目标: 从从网络搜索获取系统名称的python代码并进行执行 步骤: 1 步 ────────────────────────────────────────────────────────── [2026-03-09 13:17:27,999] [agent.CLIENT] INFO: ▶ Step 1/1 执行中 工具: [web_search] 说明: 网络搜索 参数: {'query': '从从网络搜索获取系统名称的python代码并进行执行', 'max_results': 5} [2026-03-09 13:17:28,002] [agent.CLIENT] INFO: 📡 [MCP] 发送请求: {'jsonrpc': '2.0', 'id': 'dc801fda', 'method': 'tools/call', 'params': {'name': 'web_search', 'arguments': {'query': '从从网络搜索获取系统名称的python代码并进行执行', 'max_results': 5}}} [2026-03-09 13:17:28,003] [agent.MCP] INFO: 📨 收到请求 id=dc801fda method=tools/call transport=stdio [2026-03-09 13:17:28,003] [agent.TOOL] INFO: ▶ 执行工具 [web_search]，参数: {'query': '从从网络搜索获取系统名称的python代码并进行执行', 'max_results': 5} [2026-03-09 13:17:28,108] [agent.TOOL] INFO: ✅ 工具 [web_search] 执行成功 [2026-03-09 13:17:28,109] [agent.CLIENT] INFO: ✅ Step 1 成功: 搜索「从从网络搜索获取系统名称的python代码并进行执行」(mock)，共 2 条: [1] Python 官方文档 Python 3.12 新特性：... [2026-03-09 13:17:28,109] [agent.MEMORY] DEBUG: 💬 [TOOL] 搜索「从从网络搜索获取系统名称的python代码并进行执行」(mock)，共 2 条: [1] Python 官方文档 ... [2026-03-09 13:17:28,111] [agent.CLIENT] INFO: ────────────────────────────────────────────────────────── ✅ 调用链执行完成 完成: 1/1 步 ────────────────────────────────────────────────────────── [2026-03-09 13:17:28,111] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合所有步骤结果，生成最终回复... [2026-03-09 13:17:28,111] [agent.LLM] INFO: ✍️ 整合单步工具结果 [gpt-4o]... [2026-03-09 13:17:28,111] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [web_search] 工具处理您的请求。 **执行结果:** 搜索「从从网络搜索获取系统名称的pyth... [2026-03-09 13:18:21,524] [agent.CLIENT] INFO: ══════════════════════════════════════════════════════════ [2026-03-09 13:18:21,524] [agent.CLIENT] INFO: 📨 Step 1 [CLIENT] 收到用户输入: 计算1+1等于多少 [2026-03-09 13:18:21,524] [agent.CLIENT] INFO: ══════════════════════════════════════════════════════════ [2026-03-09 13:18:21,525] [agent.MEMORY] DEBUG: 💬 [USER] 计算1+1等于多少... [2026-03-09 13:18:21,525] [agent.CLIENT] INFO: 🗺 Step 2 [LLM] 分析任务，规划工具调用链... [2026-03-09 13:18:21,526] [agent.LLM] INFO: 🗺 规划工具调用链 [gpt-4o]: 计算1+1等于多少... [2026-03-09 13:18:21,526] [agent.LLM] DEBUG: 📝 Prompt 已构造 (617 chars) [2026-03-09 13:18:21,528] [agent.LLM] INFO: 📋 规划完成: ChainPlan(goal='计算1+1等于多少', chain=[1]calculator) [2026-03-09 13:18:21,528] [agent.LLM] INFO: Step 1: [calculator] depends_on=[] — 数学计算 [2026-03-09 13:18:21,529] [agent.CLIENT] INFO: ────────────────────────────────────────────────────────── 🔗 开始执行工具调用链 目标: 计算1+1等于多少 步骤: 1 步 ────────────────────────────────────────────────────────── [2026-03-09 13:18:21,529] [agent.CLIENT] INFO: ▶ Step 1/1 执行中 工具: [calculator] 说明: 数学计算 参数: {'expression': '1+1'} [2026-03-09 13:18:21,530] [agent.CLIENT] INFO: 📡 [MCP] 发送请求: {'jsonrpc': '2.0', 'id': 'd6becfe5', 'method': 'tools/call', 'params': {'name': 'calculator', 'arguments': {'expression': '1+1'}}} [2026-03-09 13:18:21,530] [agent.MCP] INFO: 📨 收到请求 id=d6becfe5 method=tools/call transport=stdio [2026-03-09 13:18:21,530] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '1+1'} [2026-03-09 13:18:21,532] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-03-09 13:18:21,533] [agent.CLIENT] INFO: ✅ Step 1 成功: 1+1 = 2... [2026-03-09 13:18:21,533] [agent.MEMORY] DEBUG: 💬 [TOOL] 1+1 = 2... [2026-03-09 13:18:21,533] [agent.CLIENT] INFO: ────────────────────────────────────────────────────────── ✅ 调用链执行完成 完成: 1/1 步 ────────────────────────────────────────────────────────── [2026-03-09 13:18:21,534] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 整合所有步骤结果，生成最终回复... [2026-03-09 13:18:21,534] [agent.LLM] INFO: ✍️ 整合单步工具结果 [gpt-4o]... [2026-03-09 13:18:21,534] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ 已通过 [calculator] 工具处理您的请求。 **执行结果:** 1+1 = 2 --- *由 gpt-... [2026-03-09 13:29:29,657] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 13:29:29,659] [agent.SYSTEM] INFO: ──────────────────────────────────────────────────── 📋 当前配置 ──────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = (未设置) [LLM] api_base_url = (默认) [LLM] temperature = 0.7 [LLM] max_tokens = 4096 [LLM] function_calling = True [LLM] stream = False [LLM] max_retries = 3 [MCP] server_name = DemoMCPServer [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [MEMORY] max_history = 20 [AGENT] multi_step = True [AGENT] fallback_rules = True [LOG] level = DEBUG ──────────────────────────────────────────────────── [2026-03-09 13:29:29,661] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 13:29:29,662] [agent.MCP] INFO: transport = stdio [2026-03-09 13:29:29,662] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:29:29,663] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 13:29:29,663] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 13:29:29,664] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 13:29:29,664] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 13:29:29,664] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 13:29:29,664] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 13:29:29,665] [agent.TOOL] DEBUG: ⚙️ CodeExecutor timeout=5s, sandbox=True [2026-03-09 13:29:29,665] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-09 13:29:29,665] [agent.LLM] INFO: 🏭 Provider 工厂: 创建 [openai] Provider [2026-03-09 13:29:33,124] [agent.LLM] WARNING: ⚠️ LLM_API_KEY 未设置，OpenAI API 调用将失败。 请设置环境变量: export LLM_API_KEY=sk-... [2026-03-09 13:29:33,315] [agent.LLM] INFO: ✅ OpenAI 客户端初始化完成 model = gpt-4o base_url = https://api.openai.com/v1 max_retries= 3 [2026-03-09 13:29:33,315] [agent.LLM] INFO: 🧠 LLM 引擎初始化完成 [2026-03-09 13:29:33,315] [agent.LLM] INFO: provider = openai [2026-03-09 13:29:33,315] [agent.LLM] INFO: model_name = gpt-4o [2026-03-09 13:29:33,315] [agent.LLM] INFO: function_calling = True [2026-03-09 13:29:33,315] [agent.LLM] INFO: temperature = 0.7 [2026-03-09 13:29:33,316] [agent.LLM] INFO: fallback_rules = True [2026-03-09 13:29:33,316] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-09 13:29:33,317] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成（OpenAI Function Calling 模式） [2026-03-09 13:29:33,317] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:30:14,954] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 13:30:14,954] [agent.SYSTEM] INFO: ──────────────────────────────────────────────────── 📋 当前配置 ──────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = *** [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] temperature = 0.7 [LLM] max_tokens = 4096 [LLM] function_calling = True [LLM] stream = False [LLM] max_retries = 3 [MCP] server_name = DemoMCPServer [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [MEMORY] max_history = 20 [AGENT] multi_step = True [AGENT] fallback_rules = True [LOG] level = DEBUG ──────────────────────────────────────────────────── [2026-03-09 13:30:14,955] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 13:30:14,956] [agent.MCP] INFO: transport = stdio [2026-03-09 13:30:14,956] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:30:14,957] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 13:30:14,957] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 13:30:14,957] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 13:30:14,958] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 13:30:14,958] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 13:30:14,959] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 13:30:14,960] [agent.TOOL] DEBUG: ⚙️ CodeExecutor timeout=5s, sandbox=True [2026-03-09 13:30:14,960] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-09 13:30:14,961] [agent.LLM] INFO: 🏭 Provider 工厂: 创建 [openai] Provider [2026-03-09 13:30:17,075] [agent.LLM] INFO: 🔗 使用自定义 API 地址: https://openapi.monica.im/v1 [2026-03-09 13:30:17,245] [agent.LLM] INFO: ✅ OpenAI 客户端初始化完成 model = gpt-4o base_url = https://openapi.monica.im/v1 max_retries= 3 [2026-03-09 13:30:17,246] [agent.LLM] INFO: 🧠 LLM 引擎初始化完成 [2026-03-09 13:30:17,246] [agent.LLM] INFO: provider = openai [2026-03-09 13:30:17,246] [agent.LLM] INFO: model_name = gpt-4o [2026-03-09 13:30:17,246] [agent.LLM] INFO: function_calling = True [2026-03-09 13:30:17,247] [agent.LLM] INFO: temperature = 0.7 [2026-03-09 13:30:17,247] [agent.LLM] INFO: fallback_rules = True [2026-03-09 13:30:17,248] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-09 13:30:17,249] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成（OpenAI Function Calling 模式） [2026-03-09 13:30:17,249] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:30:39,084] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:30:39,085] [agent.CLIENT] INFO: 📨 收到用户输入: 234乘以123等于多少 [2026-03-09 13:30:39,085] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:30:39,086] [agent.MEMORY] DEBUG: 💬 [USER] 234乘以123等于多少... [2026-03-09 13:30:39,086] [agent.CLIENT] INFO: 🗺 Step 2 [LLM] 规划工具调用链... [2026-03-09 13:30:39,086] [agent.LLM] INFO: 🗺 规划工具调用链: 234乘以123等于多少... [2026-03-09 13:30:39,087] [agent.LLM] DEBUG: 📤 发送规划请求，tools 数量: 4 [2026-03-09 13:30:39,087] [agent.LLM] DEBUG: 📤 消息历史长度: 3 [2026-03-09 13:30:42,294] [agent.LLM] INFO: 📊 Token 用量: prompt=395, completion=17 [2026-03-09 13:30:42,294] [agent.LLM] INFO: 📋 解析到 1 个工具调用步骤 [2026-03-09 13:30:42,294] [agent.LLM] INFO: 📋 OpenAI 规划完成: 1 步 [2026-03-09 13:30:42,294] [agent.LLM] INFO: Step 1: [calculator] args={'expression': '234*123'} [2026-03-09 13:30:42,294] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── 🔗 开始执行工具调用链 目标: calculator 步骤: 1 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:30:42,295] [agent.CLIENT] INFO: ▶ Step 1 执行中 工具: [calculator] 说明: 调用 calculator（由 OpenAI Function Calling 规划） 参数: {'expression': '234*123'} call_id: call_6b8b5745 [2026-03-09 13:30:42,295] [agent.MCP] INFO: 📨 收到请求 id=11862afa method=tools/call transport=stdio [2026-03-09 13:30:42,295] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '234*123'} [2026-03-09 13:30:42,297] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-03-09 13:30:42,297] [agent.CLIENT] INFO: ✅ Step 1 成功: 234*123 = 28782... [2026-03-09 13:30:42,297] [agent.MEMORY] DEBUG: 💬 [TOOL] 234*123 = 28782... [2026-03-09 13:30:42,297] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── ✅ 调用链执行完成 完成: 1/1 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:30:42,297] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 调用 OpenAI 生成最终回复... [2026-03-09 13:30:42,298] [agent.LLM] INFO: ✍️ 整合单步工具结果 [calculator]... [2026-03-09 13:30:42,298] [agent.LLM] INFO: ✍️ 生成最终回复... [2026-03-09 13:30:42,298] [agent.LLM] DEBUG: 📤 发送回复生成请求，消息长度: 3 [2026-03-09 13:30:42,924] [agent.LLM] WARNING: ⚠️ OpenAI 回复生成失败: 生成回复失败: Error code: 400 - {'error': {'code': '11111', 'message': "StatusCode: 400: API returned unexpected status code: 400: Invalid parameter: messages with role 'tool' must be a response to a preceeding message with 'tool_calls'.", 'type': 'invalid_request_error'}} [2026-03-09 13:30:42,924] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ **任务已完成** 针对您的需求「234乘以123等于多少」，执行结果如下： 234*123 = 28782... [2026-03-09 13:30:42,924] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-03-09 13:34:35,843] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:34:35,845] [agent.CLIENT] INFO: 📨 收到用户输入: 先计算34乘以45，再计算12乘以23 [2026-03-09 13:34:35,845] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:34:35,846] [agent.MEMORY] DEBUG: 💬 [USER] 先计算34乘以45，再计算12乘以23... [2026-03-09 13:34:35,846] [agent.CLIENT] INFO: 🗺 Step 2 [LLM] 规划工具调用链... [2026-03-09 13:34:35,846] [agent.LLM] INFO: 🗺 规划工具调用链: 先计算34乘以45，再计算12乘以23... [2026-03-09 13:34:35,846] [agent.LLM] DEBUG: 📤 发送规划请求，tools 数量: 4 [2026-03-09 13:34:35,847] [agent.LLM] DEBUG: 📤 消息历史长度: 4 [2026-03-09 13:34:37,936] [agent.LLM] INFO: 📊 Token 用量: prompt=424, completion=49 [2026-03-09 13:34:37,936] [agent.LLM] INFO: 📋 解析到 2 个工具调用步骤 [2026-03-09 13:34:37,937] [agent.LLM] INFO: 📋 OpenAI 规划完成: 2 步 [2026-03-09 13:34:37,937] [agent.LLM] INFO: Step 1: [calculator] args={'expression': '34*45'} [2026-03-09 13:34:37,937] [agent.LLM] INFO: Step 2: [calculator] args={'expression': '12*23'} [2026-03-09 13:34:37,937] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── 🔗 开始执行工具调用链 目标: calculator → calculator 步骤: 2 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:34:37,938] [agent.CLIENT] INFO: ▶ Step 1 执行中 工具: [calculator] 说明: 调用 calculator（由 OpenAI Function Calling 规划） 参数: {'expression': '34*45'} call_id: call_78edf968 [2026-03-09 13:34:37,938] [agent.MCP] INFO: 📨 收到请求 id=ec8a2d23 method=tools/call transport=stdio [2026-03-09 13:34:37,938] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '34*45'} [2026-03-09 13:34:37,938] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-03-09 13:34:37,938] [agent.CLIENT] INFO: ✅ Step 1 成功: 34*45 = 1530... [2026-03-09 13:34:37,938] [agent.MEMORY] DEBUG: 💬 [TOOL] 34*45 = 1530... [2026-03-09 13:34:37,939] [agent.CLIENT] INFO: ▶ Step 2 执行中 工具: [calculator] 说明: 调用 calculator（由 OpenAI Function Calling 规划） 参数: {'expression': '12*23'} call_id: call_f3174090 [2026-03-09 13:34:37,939] [agent.MCP] INFO: 📨 收到请求 id=ce5f9e24 method=tools/call transport=stdio [2026-03-09 13:34:37,939] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '12*23'} [2026-03-09 13:34:37,939] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-03-09 13:34:37,939] [agent.CLIENT] INFO: ✅ Step 2 成功: 12*23 = 276... [2026-03-09 13:34:37,940] [agent.MEMORY] DEBUG: 💬 [TOOL] 12*23 = 276... [2026-03-09 13:34:37,940] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── ✅ 调用链执行完成 完成: 2/2 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:34:37,940] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 调用 OpenAI 生成最终回复... [2026-03-09 13:34:37,940] [agent.LLM] INFO: ✍️ 生成最终回复... [2026-03-09 13:34:37,940] [agent.LLM] DEBUG: 📤 发送回复生成请求，消息长度: 5 [2026-03-09 13:34:39,468] [agent.LLM] INFO: ✅ 回复生成成功，长度: 25 chars，Token: 18 [2026-03-09 13:34:39,469] [agent.LLM] INFO: ✅ OpenAI 回复生成成功 (25 chars) [2026-03-09 13:34:39,469] [agent.MEMORY] DEBUG: 💬 [CHAIN] 34乘以45等于1530，12乘以23等于276。... [2026-03-09 13:34:39,469] [agent.MEMORY] INFO: 🔗 调用链已记录: 2/2 步成功 [2026-03-09 13:34:39,470] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-03-09 13:35:13,266] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:35:13,267] [agent.CLIENT] INFO: 📨 收到用户输入: 先计算34乘以56，再将结果乘以12 [2026-03-09 13:35:13,268] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:35:13,268] [agent.MEMORY] DEBUG: 💬 [USER] 先计算34乘以56，再将结果乘以12... [2026-03-09 13:35:13,269] [agent.CLIENT] INFO: 🗺 Step 2 [LLM] 规划工具调用链... [2026-03-09 13:35:13,269] [agent.LLM] INFO: 🗺 规划工具调用链: 先计算34乘以56，再将结果乘以12... [2026-03-09 13:35:13,269] [agent.LLM] DEBUG: 📤 发送规划请求，tools 数量: 4 [2026-03-09 13:35:13,270] [agent.LLM] DEBUG: 📤 消息历史长度: 6 [2026-03-09 13:35:15,298] [agent.LLM] INFO: 📊 Token 用量: prompt=461, completion=17 [2026-03-09 13:35:15,299] [agent.LLM] INFO: 📋 解析到 1 个工具调用步骤 [2026-03-09 13:35:15,299] [agent.LLM] INFO: 📋 OpenAI 规划完成: 1 步 [2026-03-09 13:35:15,299] [agent.LLM] INFO: Step 1: [calculator] args={'expression': '34*56'} [2026-03-09 13:35:15,299] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── 🔗 开始执行工具调用链 目标: calculator 步骤: 1 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:35:15,300] [agent.CLIENT] INFO: ▶ Step 1 执行中 工具: [calculator] 说明: 调用 calculator（由 OpenAI Function Calling 规划） 参数: {'expression': '34*56'} call_id: call_6e1cc584 [2026-03-09 13:35:15,300] [agent.MCP] INFO: 📨 收到请求 id=a2b93b20 method=tools/call transport=stdio [2026-03-09 13:35:15,300] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '34*56'} [2026-03-09 13:35:15,300] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-03-09 13:35:15,301] [agent.CLIENT] INFO: ✅ Step 1 成功: 34*56 = 1904... [2026-03-09 13:35:15,301] [agent.MEMORY] DEBUG: 💬 [TOOL] 34*56 = 1904... [2026-03-09 13:35:15,301] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── ✅ 调用链执行完成 完成: 1/1 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:35:15,301] [agent.CLIENT] INFO: ✍️ Step 5 [LLM] 调用 OpenAI 生成最终回复... [2026-03-09 13:35:15,301] [agent.LLM] INFO: ✍️ 整合单步工具结果 [calculator]... [2026-03-09 13:35:15,302] [agent.LLM] INFO: ✍️ 生成最终回复... [2026-03-09 13:35:15,302] [agent.LLM] DEBUG: 📤 发送回复生成请求，消息长度: 3 [2026-03-09 13:35:15,929] [agent.LLM] WARNING: ⚠️ OpenAI 回复生成失败: 生成回复失败: Error code: 400 - {'error': {'code': '11111', 'message': "StatusCode: 400: API returned unexpected status code: 400: Invalid parameter: messages with role 'tool' must be a response to a preceeding message with 'tool_calls'.", 'type': 'invalid_request_error'}} [2026-03-09 13:35:15,929] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] ✅ **任务已完成** 针对您的需求「先计算34乘以56，再将结果乘以12」，执行结果如下： 34*56 = 190... [2026-03-09 13:35:15,930] [agent.CLIENT] INFO: 🎉 [CLIENT] 流程完成，回复已返回 [2026-03-09 13:39:06,494] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 13:39:06,494] [agent.SYSTEM] INFO: ──────────────────────────────────────────────────── 📋 当前配置 ──────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = *** [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] temperature = 0.7 [LLM] max_tokens = 4096 [LLM] function_calling = True [LLM] stream = False [LLM] max_retries = 3 [MCP] server_name = DemoMCPServer [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [MEMORY] max_history = 20 [AGENT] multi_step = True [AGENT] fallback_rules = True [LOG] level = DEBUG ──────────────────────────────────────────────────── [2026-03-09 13:39:06,495] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 13:39:06,495] [agent.MCP] INFO: transport = stdio [2026-03-09 13:39:06,496] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:39:06,497] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 13:39:06,498] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 13:39:06,498] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 13:39:06,498] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 13:39:06,498] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 13:39:06,498] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 13:39:06,499] [agent.TOOL] DEBUG: ⚙️ CodeExecutor timeout=5s, sandbox=True [2026-03-09 13:39:06,499] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-09 13:39:06,499] [agent.LLM] INFO: 🏭 Provider 工厂: 创建 [openai] Provider [2026-03-09 13:39:08,884] [agent.LLM] INFO: 🔗 使用自定义 API 地址: https://openapi.monica.im/v1 [2026-03-09 13:39:09,057] [agent.LLM] INFO: ✅ OpenAI 客户端初始化完成 model = gpt-4o base_url = https://openapi.monica.im/v1 max_retries= 3 [2026-03-09 13:39:09,058] [agent.LLM] INFO: 🧠 LLM 引擎初始化完成 [2026-03-09 13:39:09,058] [agent.LLM] INFO: provider = openai [2026-03-09 13:39:09,058] [agent.LLM] INFO: model_name = gpt-4o [2026-03-09 13:39:09,058] [agent.LLM] INFO: function_calling = True [2026-03-09 13:39:09,058] [agent.LLM] INFO: temperature = 0.7 [2026-03-09 13:39:09,059] [agent.LLM] INFO: fallback_rules = True [2026-03-09 13:39:09,059] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-09 13:39:09,060] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成（OpenAI Function Calling 模式） [2026-03-09 13:39:09,061] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] [2026-03-09 13:39:25,884] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:39:25,884] [agent.CLIENT] INFO: 📨 收到用户输入: 先计算34乘以12，再将结果乘以56 [2026-03-09 13:39:25,884] [agent.CLIENT] INFO: ════════════════════════════════════════════════════════════ [2026-03-09 13:39:25,885] [agent.MEMORY] DEBUG: 💬 [USER] 先计算34乘以12，再将结果乘以56... [2026-03-09 13:39:25,885] [agent.CLIENT] INFO: 🗺 [LLM] 规划工具调用链... [2026-03-09 13:39:25,885] [agent.LLM] INFO: 🗺 规划工具调用链: 先计算34乘以12，再将结果乘以56... [2026-03-09 13:39:25,886] [agent.LLM] DEBUG: 📤 发送规划请求，tools 数量: 4 [2026-03-09 13:39:25,886] [agent.LLM] DEBUG: 📤 消息历史长度: 3 [2026-03-09 13:39:28,752] [agent.LLM] INFO: 📊 Token 用量: prompt=405, completion=17 [2026-03-09 13:39:28,752] [agent.LLM] INFO: 📋 解析到 1 个工具调用步骤 [2026-03-09 13:39:28,753] [agent.LLM] INFO: 📋 OpenAI 规划完成: 1 步 [2026-03-09 13:39:28,753] [agent.LLM] INFO: Step 1: [calculator] args={'expression': '34*12'} [2026-03-09 13:39:28,753] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── 🔗 开始执行工具调用链 目标: calculator 步骤: 1 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:39:28,753] [agent.CLIENT] DEBUG: 🔑 预生成 tool_call_ids: {1: 'call_d656a0cfe9ab'} [2026-03-09 13:39:28,753] [agent.CLIENT] INFO: ▶ Step 1 执行中 工具 : [calculator] 说明 : 调用 calculator（由 OpenAI Function Calling 规划） 参数 : {'expression': '34*12'} call_id : call_d656a0cfe9ab [2026-03-09 13:39:28,754] [agent.MCP] INFO: 📨 收到请求 id=df72b664 method=tools/call transport=stdio [2026-03-09 13:39:28,754] [agent.TOOL] INFO: ▶ 执行工具 [calculator]，参数: {'expression': '34*12'} [2026-03-09 13:39:28,754] [agent.TOOL] INFO: ✅ 工具 [calculator] 执行成功 [2026-03-09 13:39:28,754] [agent.CLIENT] INFO: ✅ Step 1 成功: 34*12 = 408... [2026-03-09 13:39:28,754] [agent.MEMORY] DEBUG: 💬 [TOOL] 34*12 = 408... [2026-03-09 13:39:28,754] [agent.CLIENT] DEBUG: 📦 OpenAI 消息块结构: [2026-03-09 13:39:28,754] [agent.CLIENT] DEBUG: [0] assistant tool_calls.ids = ['call_d656a0cfe9ab'] [2026-03-09 13:39:28,755] [agent.CLIENT] DEBUG: [1] tool tool_call_id = call_d656a0cfe9ab content = 34*12 = 408... [2026-03-09 13:39:28,755] [agent.CLIENT] INFO: ──────────────────────────────────────────────────────────── ✅ 调用链执行完成 完成: 1/1 步 ──────────────────────────────────────────────────────────── [2026-03-09 13:39:28,755] [agent.CLIENT] INFO: ✍️ [LLM] 调用 OpenAI 生成最终回复... [2026-03-09 13:39:28,755] [agent.LLM] INFO: ✍️ 生成最终回复（工具调用链模式）... [2026-03-09 13:39:28,755] [agent.LLM] DEBUG: 📤 发送回复请求，消息数: 4 [2026-03-09 13:39:28,755] [agent.LLM] DEBUG: 📋 消息序列结构: [2026-03-09 13:39:28,755] [agent.LLM] DEBUG: [0] system 你是一个友好、专业的 AI 助手。 请基于已执行的工具调用结果，用清晰、自然的语言回答用户的问题。 ... [2026-03-09 13:39:28,755] [agent.LLM] DEBUG: [1] user 先计算34乘以12，再将结果乘以56... [2026-03-09 13:39:28,755] [agent.LLM] DEBUG: [2] assistant tool_calls=['calculator'] ids=['call_d656a0cfe9ab'] [2026-03-09 13:39:28,755] [agent.LLM] DEBUG: [3] tool tool_call_id=call_d656a0cfe9ab content=34*12 = 408... [2026-03-09 13:39:28,756] [agent.LLM] DEBUG: 📤 发送回复生成请求，消息长度: 4 [2026-03-09 13:39:30,293] [agent.LLM] INFO: ✅ 回复生成成功，长度: 27 chars，Token: 18 [2026-03-09 13:39:30,294] [agent.LLM] INFO: ✅ OpenAI 回复生成成功 (27 chars) [2026-03-09 13:39:30,294] [agent.MEMORY] DEBUG: 💬 [ASSISTANT] 34乘以12的结果是408。接下来计算408乘以56。... [2026-03-09 13:39:30,294] [agent.CLIENT] INFO: 🎉 流程完成，回复已返回 [2026-03-09 14:03:41,261] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:03:41,271] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:03:41,271] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:03:41,276] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:03:41,278] [agent.MCP] INFO: transport = stdio [2026-03-09 14:03:41,278] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:05:16,524] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:05:16,529] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:05:16,529] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:05:16,530] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:05:16,530] [agent.MCP] INFO: transport = stdio [2026-03-09 14:05:16,531] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:06:01,148] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:06:01,156] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:06:01,157] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:06:01,161] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:06:01,161] [agent.MCP] INFO: transport = stdio [2026-03-09 14:06:01,161] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:06:11,760] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:06:11,766] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:06:11,766] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:06:11,767] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:06:11,767] [agent.MCP] INFO: transport = stdio [2026-03-09 14:06:11,768] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:06:11,768] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 14:06:11,769] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 14:06:22,925] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:06:22,939] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:06:22,940] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:06:22,942] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:06:22,942] [agent.MCP] INFO: transport = stdio [2026-03-09 14:06:22,942] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:06:22,943] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 14:06:22,943] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 14:06:44,043] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:06:44,046] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:06:44,046] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:06:44,048] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:06:44,048] [agent.MCP] INFO: transport = stdio [2026-03-09 14:06:44,048] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:06:44,049] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 14:06:44,049] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 14:06:44,049] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 14:06:44,050] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 14:07:04,527] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:07:04,531] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:07:04,532] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:07:04,532] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:07:04,533] [agent.MCP] INFO: transport = stdio [2026-03-09 14:07:04,533] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:07:04,533] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 14:07:04,533] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 14:07:04,533] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 14:07:04,533] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 14:07:04,534] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 14:07:04,534] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 14:07:40,023] [agent.TOOL.SSHDocker] WARNING: ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 [2026-03-09 14:07:40,029] [agent.SYSTEM] INFO: 🔧 开始组装 Agent 系统（OpenAI Function Calling 模式）... [2026-03-09 14:07:40,029] [agent.SYSTEM] INFO: ────────────────────────────────────────────────────────────── 📋 当前配置 ────────────────────────────────────────────────────────────── [LLM] provider = openai [LLM] model_name = gpt-4o [LLM] api_key = ***ACjR [LLM] api_base_url = https://openapi.monica.im/v1 [LLM] function_calling = True [LLM] temperature = 0.7 [MCP] enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [TOOL] calculator.precision= 10 [TOOL] web_search.engine = mock [TOOL] web_search.timeout = 10s [TOOL] file_reader.root = ./workspace [TOOL] code_executor.timeout=5s [TOOL] static_analyzer.tool = cppcheck [TOOL] static_analyzer.std = c++17 [TOOL] static_analyzer.timeout = 120s [TOOL] static_analyzer.jobs = 4 [TOOL] static_analyzer.roots = (不限制) [TOOL] ssh_docker.port = 22 [TOOL] ssh_docker.user = root [TOOL] ssh_docker.conn_timeout = 30s [TOOL] ssh_docker.deploy_timeout= 300s [TOOL] ssh_docker.allowed_hosts = (不限制) [TOOL] ssh_docker.servers = (无预设) [MEM] max_history = 20 [AGT] fallback_rules = True [LOG] level = DEBUG ────────────────────────────────────────────────────────────── [2026-03-09 14:07:40,032] [agent.MCP] INFO: 🚀 MCP Server [DemoMCPServer] 启动 [2026-03-09 14:07:40,032] [agent.MCP] INFO: transport = stdio [2026-03-09 14:07:40,032] [agent.MCP] INFO: enabled_tools = ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] [2026-03-09 14:07:40,033] [agent.TOOL] DEBUG: ⚙️ Calculator 精度: 10 [2026-03-09 14:07:40,034] [agent.MCP] INFO: 📌 注册工具: [calculator] — 计算数学表达式，支持加减乘除、幂运算、括号等 [2026-03-09 14:07:40,034] [agent.TOOL] DEBUG: ⚙️ WebSearch engine=mock, max_results=5, api_key=(未设置) [2026-03-09 14:07:40,035] [agent.MCP] INFO: 📌 注册工具: [web_search] — 在互联网上搜索信息，返回相关网页摘要 [2026-03-09 14:07:40,035] [agent.TOOL] DEBUG: ⚙️ FileReader root=workspace, max_size=512KB [2026-03-09 14:07:40,035] [agent.MCP] INFO: 📌 注册工具: [file_reader] — 读取本地文件内容，仅限配置的 allowed_root 目录 [2026-03-09 14:07:40,036] [agent.TOOL] DEBUG: ⚙️ CodeExecutor timeout=5s, sandbox=True [2026-03-09 14:07:40,036] [agent.MCP] INFO: 📌 注册工具: [code_executor] — 在沙箱环境中执行 Python 代码片段，返回标准输出 [2026-03-09 14:07:40,036] [agent.MCP] INFO: 📌 注册工具: [static_analyzer] — 对指定目录下的 C/C++ 工程调用外部静态分析工具（cppcheck/clang-tidy/infer）进行代码质量检查，返回错误、警告及代码风格问题 [2026-03-09 14:07:40,036] [agent.MCP] INFO: 📌 注册工具: [ssh_docker] — 通过 SSH 连接到远程服务器，使用 Docker 部署和管理容器应用。支持: deploy | start | stop | restart | status | logs | remove | compose_up | compose_down | compose_ps | pull | inspect | stats [2026-03-09 14:07:40,037] [agent.LLM] INFO: 🏭 Provider 工厂: 创建 [openai] Provider [2026-03-09 14:07:42,643] [agent.LLM] INFO: 🔗 使用自定义 API 地址: https://openapi.monica.im/v1 [2026-03-09 14:07:42,832] [agent.LLM] INFO: ✅ OpenAI 客户端初始化完成 model = gpt-4o base_url = https://openapi.monica.im/v1 max_retries= 3 [2026-03-09 14:07:42,833] [agent.LLM] INFO: 🧠 LLM 引擎初始化完成 [2026-03-09 14:07:42,833] [agent.LLM] INFO: provider = openai [2026-03-09 14:07:42,833] [agent.LLM] INFO: model_name = gpt-4o [2026-03-09 14:07:42,833] [agent.LLM] INFO: function_calling = True [2026-03-09 14:07:42,834] [agent.LLM] INFO: temperature = 0.7 [2026-03-09 14:07:42,834] [agent.LLM] INFO: fallback_rules = True [2026-03-09 14:07:42,834] [agent.MEMORY] INFO: 💾 Memory 初始化，最大历史: 20 条 [2026-03-09 14:07:42,834] [agent.CLIENT] INFO: 💻 Agent Client 初始化完成（OpenAI Function Calling 模式） [2026-03-09 14:07:42,835] [agent.SYSTEM] INFO: ✅ Agent 组装完成，已注册工具: ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] 2026-03-30 14:57:08 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-03-30 14:57:08 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-03-30 14:57:08 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-03-30 14:57:08 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-03-30 14:57:08 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: static_analyzer 2026-03-30 14:57:08 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: ssh_docker 2026-03-30 14:57:08 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-03-30 14:57:08 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-03-30 14:57:09 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 14:57:11 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-03-30 14:57:19 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-03-30 14:57:20 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 14:57:23 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-03-30 14:57:30 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-03-30 14:57:32 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 14:57:33 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-03-30 14:57:42 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [everything] 连接失败，跳过 错误: ❌ MCP Skill [everything] 连接失败（已重试 2 次） 最后错误: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-03-30 14:57:42 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [everything] 已断开 2026-03-30 14:57:42 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 6 个 ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] 远端工具 : 0 个 [] 2026-03-30 15:32:59 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-03-30 15:32:59 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-03-30 15:32:59 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-03-30 15:32:59 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-03-30 15:32:59 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: static_analyzer 2026-03-30 15:32:59 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: ssh_docker 2026-03-30 15:32:59 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-03-30 15:32:59 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-03-30 15:32:59 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 15:33:00 [INFO ] agent.MCP.SkillClient │ ✅ SSE 已连接，endpoint: http://localhost:3001/message?sessionId=5a5197db-716d-42b7-9d49-07fec869389c 2026-03-30 15:33:00 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [everything] 服务端: mcp-servers/everything v2.0.0 协议版本: 2024-11-05 2026-03-30 15:33:00 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [everything] 连接成功 2026-03-30 15:33:00 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [everything] 工具列表: • echo: Echoes back the input string • get-annotated-message: Demonstrates how annotations can be used to provide metadata • get-env: Returns all environment variables, helpful for debugging MCP • get-resource-links: Returns up to ten resource links that reference different ty • get-resource-reference: Returns a resource reference that can be used by MCP clients • get-structured-content: Returns structured content along with an output schema for c • get-sum: Returns the sum of two numbers • get-tiny-image: Returns a tiny MCP logo image. • gzip-file-as-resource: Compresses a single file using gzip compression. Depending u • toggle-simulated-logging: Toggles simulated, random-leveled logging on or off. • toggle-subscriber-updates: Toggles simulated resource subscription updates on or off. • trigger-long-running-operation: Demonstrates a long running operation with progress updates. 2026-03-30 15:33:00 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [everything] 注册完成 工具数=12: ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:33:00 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 6 个 ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] 远端工具 : 12 个 ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:33:02 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 18 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🔵 [local ] static_analyzer 🔵 [local ] ssh_docker 🟢 [remote:everything ] echo 🟢 [remote:everything ] get-annotated-message 🟢 [remote:everything ] get-env 🟢 [remote:everything ] get-resource-links 🟢 [remote:everything ] get-resource-reference 🟢 [remote:everything ] get-structured-content 🟢 [remote:everything ] get-sum 🟢 [remote:everything ] get-tiny-image 🟢 [remote:everything ] gzip-file-as-resource 🟢 [remote:everything ] toggle-simulated-logging 🟢 [remote:everything ] toggle-subscriber-updates 🟢 [remote:everything ] trigger-long-running-operation 2026-03-30 15:33:30 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: timed out 2026-03-30 15:34:21 [INFO ] agent.Agent │ 💬 用户输入: 输出get-tiny-image的用法 2026-03-30 15:34:21 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-03-30 15:34:23 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [everything] 已断开 2026-03-30 15:34:23 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-03-30 15:41:34 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-03-30 15:41:34 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-03-30 15:41:34 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-03-30 15:41:34 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-03-30 15:41:34 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: static_analyzer 2026-03-30 15:41:34 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: ssh_docker 2026-03-30 15:41:34 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-03-30 15:41:34 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-03-30 15:41:35 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 15:41:36 [INFO ] agent.MCP.SkillClient │ ✅ SSE 已连接，endpoint: http://localhost:3001/message?sessionId=1090ee13-097a-487f-bea2-5173605d9e7e 2026-03-30 15:41:36 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [everything] 服务端: mcp-servers/everything v2.0.0 协议版本: 2024-11-05 2026-03-30 15:41:36 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [everything] 连接成功 2026-03-30 15:41:36 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [everything] 工具列表: • echo: Echoes back the input string • get-annotated-message: Demonstrates how annotations can be used to provide metadata • get-env: Returns all environment variables, helpful for debugging MCP • get-resource-links: Returns up to ten resource links that reference different ty • get-resource-reference: Returns a resource reference that can be used by MCP clients • get-structured-content: Returns structured content along with an output schema for c • get-sum: Returns the sum of two numbers • get-tiny-image: Returns a tiny MCP logo image. • gzip-file-as-resource: Compresses a single file using gzip compression. Depending u • toggle-simulated-logging: Toggles simulated, random-leveled logging on or off. • toggle-subscriber-updates: Toggles simulated resource subscription updates on or off. • trigger-long-running-operation: Demonstrates a long running operation with progress updates. 2026-03-30 15:41:36 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [everything] 注册完成 工具数=12: ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:41:36 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 6 个 ['calculator', 'web_search', 'file_reader', 'code_executor', 'static_analyzer', 'ssh_docker'] 远端工具 : 12 个 ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:41:41 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 18 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🔵 [local ] static_analyzer 🔵 [local ] ssh_docker 🟢 [remote:everything ] echo 🟢 [remote:everything ] get-annotated-message 🟢 [remote:everything ] get-env 🟢 [remote:everything ] get-resource-links 🟢 [remote:everything ] get-resource-reference 🟢 [remote:everything ] get-structured-content 🟢 [remote:everything ] get-sum 🟢 [remote:everything ] get-tiny-image 🟢 [remote:everything ] gzip-file-as-resource 🟢 [remote:everything ] toggle-simulated-logging 🟢 [remote:everything ] toggle-subscriber-updates 🟢 [remote:everything ] trigger-long-running-operation 2026-03-30 15:41:51 [INFO ] agent.Agent │ 💬 用户输入: 给出所有工具的用法 2026-03-30 15:41:51 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-03-30 15:42:06 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: timed out 2026-03-30 15:43:50 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [everything] 已断开 2026-03-30 15:43:50 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-03-30 15:45:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-03-30 15:45:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-03-30 15:45:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-03-30 15:45:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-03-30 15:45:13 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-03-30 15:45:13 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-03-30 15:45:13 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 15:45:14 [INFO ] agent.MCP.SkillClient │ ✅ SSE 已连接，endpoint: http://localhost:3001/message?sessionId=a25e6693-dab8-46fe-9c32-fa090ff317dc 2026-03-30 15:45:14 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [everything] 服务端: mcp-servers/everything v2.0.0 协议版本: 2024-11-05 2026-03-30 15:45:14 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [everything] 连接成功 2026-03-30 15:45:14 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [everything] 工具列表: • echo: Echoes back the input string • get-annotated-message: Demonstrates how annotations can be used to provide metadata • get-env: Returns all environment variables, helpful for debugging MCP • get-resource-links: Returns up to ten resource links that reference different ty • get-resource-reference: Returns a resource reference that can be used by MCP clients • get-structured-content: Returns structured content along with an output schema for c • get-sum: Returns the sum of two numbers • get-tiny-image: Returns a tiny MCP logo image. • gzip-file-as-resource: Compresses a single file using gzip compression. Depending u • toggle-simulated-logging: Toggles simulated, random-leveled logging on or off. • toggle-subscriber-updates: Toggles simulated resource subscription updates on or off. • trigger-long-running-operation: Demonstrates a long running operation with progress updates. 2026-03-30 15:45:14 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [everything] 注册完成 工具数=12: ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:45:14 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 12 个 ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:45:16 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 16 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:everything ] echo 🟢 [remote:everything ] get-annotated-message 🟢 [remote:everything ] get-env 🟢 [remote:everything ] get-resource-links 🟢 [remote:everything ] get-resource-reference 🟢 [remote:everything ] get-structured-content 🟢 [remote:everything ] get-sum 🟢 [remote:everything ] get-tiny-image 🟢 [remote:everything ] gzip-file-as-resource 🟢 [remote:everything ] toggle-simulated-logging 🟢 [remote:everything ] toggle-subscriber-updates 🟢 [remote:everything ] trigger-long-running-operation 2026-03-30 15:45:22 [INFO ] agent.Agent │ 💬 用户输入: 给出所有工具的用法 2026-03-30 15:45:22 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-03-30 15:45:31 [DEBUG ] agent.Agent │ LLM 响应: finish=stop tool_calls=0 content=以下是所有可用的工具及其用法说明： 1. **calculator** 进行数学计算，包括四则运算、幂运算、开方、三角函数、对数等。 - 参数 2026-03-30 15:45:44 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: timed out 2026-03-30 15:47:02 [INFO ] agent.Agent │ 💬 用户输入: 有哪些remote tools，给出url 2026-03-30 15:47:02 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-03-30 15:47:06 [DEBUG ] agent.Agent │ LLM 响应: finish=stop tool_calls=0 content=目前可用的“remote tools”是通过网络服务或远程 API 提供的工具。我无法直接提供这些工具的具体 URL，因为它们是内部集成的一部分。但我可以列出以 2026-03-30 15:49:01 [INFO ] agent.Agent │ 💬 用户输入: filesystem工具如何用 2026-03-30 15:49:01 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-03-30 15:49:07 [DEBUG ] agent.Agent │ LLM 响应: finish=stop tool_calls=0 content=在当前工具集中与文件系统交互的主要工具是 **`file_reader`**，它用于读取本地文件的内容。以下是该工具的详细用法说明： --- ### **f 2026-03-30 15:57:26 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [everything] 已断开 2026-03-30 15:57:26 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-03-30 15:57:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-03-30 15:57:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-03-30 15:57:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-03-30 15:57:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-03-30 15:57:32 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=2 2026-03-30 15:57:32 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ ✅ SSE 已连接，endpoint: http://localhost:3001/message?sessionId=78c05e34-0e31-4a23-b960-609093d4577e 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [everything] 服务端: mcp-servers/everything v2.0.0 协议版本: 2024-11-05 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [everything] 连接成功 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [everything] 工具列表: • echo: Echoes back the input string • get-annotated-message: Demonstrates how annotations can be used to provide metadata • get-env: Returns all environment variables, helpful for debugging MCP • get-resource-links: Returns up to ten resource links that reference different ty • get-resource-reference: Returns a resource reference that can be used by MCP clients • get-structured-content: Returns structured content along with an output schema for c • get-sum: Returns the sum of two numbers • get-tiny-image: Returns a tiny MCP logo image. • gzip-file-as-resource: Compresses a single file using gzip compression. Depending u • toggle-simulated-logging: Toggles simulated, random-leveled logging on or off. • toggle-subscriber-updates: Toggles simulated resource subscription updates on or off. • trigger-long-running-operation: Demonstrates a long running operation with progress updates. 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [everything] 注册完成 工具数=12: ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [filesystem] 传输协议: stdio 地址 : npx 超时 : 30s 重试 : 1 次 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: npx -y @modelcontextprotocol/server-filesystem /tmp 2026-03-30 15:57:33 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=24198 2026-03-30 15:57:33 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/2)，1s 后重试: stdio 子进程无响应 skill=filesystem method=initialize 2026-03-30 15:57:34 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=filesystem 2026-03-30 15:57:34 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: npx -y @modelcontextprotocol/server-filesystem /tmp 2026-03-30 15:57:35 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=24199 2026-03-30 15:57:35 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=filesystem 2026-03-30 15:57:35 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [filesystem] 连接失败，跳过 错误: ❌ MCP Skill [filesystem] 连接失败（已重试 1 次） 最后错误: stdio 子进程无响应 skill=filesystem method=initialize 2026-03-30 15:57:35 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [filesystem] 已断开 2026-03-30 15:57:35 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 12 个 ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 15:57:37 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 16 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:everything ] echo 🟢 [remote:everything ] get-annotated-message 🟢 [remote:everything ] get-env 🟢 [remote:everything ] get-resource-links 🟢 [remote:everything ] get-resource-reference 🟢 [remote:everything ] get-structured-content 🟢 [remote:everything ] get-sum 🟢 [remote:everything ] get-tiny-image 🟢 [remote:everything ] gzip-file-as-resource 🟢 [remote:everything ] toggle-simulated-logging 🟢 [remote:everything ] toggle-subscriber-updates 🟢 [remote:everything ] trigger-long-running-operation 2026-03-30 15:58:03 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: timed out 2026-03-30 15:59:08 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [everything] 已断开 2026-03-30 15:59:08 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-03-30 16:06:10 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-03-30 16:06:10 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-03-30 16:06:10 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-03-30 16:06:10 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-03-30 16:06:10 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=2 2026-03-30 16:06:10 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillClient │ ✅ SSE 已连接，endpoint: http://localhost:3001/message?sessionId=2fc7c333-5d6a-42a7-9ae9-d5debd56c517 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [everything] 服务端: mcp-servers/everything v2.0.0 协议版本: 2024-11-05 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [everything] 连接成功 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [everything] 工具列表: • echo: Echoes back the input string • get-annotated-message: Demonstrates how annotations can be used to provide metadata • get-env: Returns all environment variables, helpful for debugging MCP • get-resource-links: Returns up to ten resource links that reference different ty • get-resource-reference: Returns a resource reference that can be used by MCP clients • get-structured-content: Returns structured content along with an output schema for c • get-sum: Returns the sum of two numbers • get-tiny-image: Returns a tiny MCP logo image. • gzip-file-as-resource: Compresses a single file using gzip compression. Depending u • toggle-simulated-logging: Toggles simulated, random-leveled logging on or off. • toggle-subscriber-updates: Toggles simulated resource subscription updates on or off. • trigger-long-running-operation: Demonstrates a long running operation with progress updates. 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [everything] 注册完成 工具数=12: ['echo', 'get-annotated-message', 'get-env', 'get-resource-links', 'get-resource-reference', 'get-structured-content', 'get-sum', 'get-tiny-image', 'gzip-file-as-resource', 'toggle-simulated-logging', 'toggle-subscriber-updates', 'trigger-long-running-operation'] 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [filesystem] 传输协议: stdio 地址 : npx 超时 : 30s 重试 : 1 次 2026-03-30 16:06:11 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: npx -y @modelcontextprotocol/server-filesystem /tmp 2026-03-30 16:06:41 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: timed out 2026-04-13 15:18:27 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:18:27 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:18:27 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:18:27 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:18:27 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=2 2026-04-13 15:18:27 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-04-13 15:18:28 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-04-13 15:18:28 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-04-13 15:18:38 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-04-13 15:18:40 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-04-13 15:18:40 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-04-13 15:18:50 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-04-13 15:18:52 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-04-13 15:18:52 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-04-13 15:19:02 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [everything] 连接失败，跳过 错误: ❌ MCP Skill [everything] 连接失败（已重试 2 次） 最后错误: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-04-13 15:19:02 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [everything] 已断开 2026-04-13 15:19:02 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:19:02 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:19:02 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=40245 2026-04-13 15:19:11 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [hexstrike-ai] 服务端: hexstrike-ai-mcp v1.26.0 协议版本: 2024-11-05 2026-04-13 15:19:11 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [hexstrike-ai] 连接成功 2026-04-13 15:19:11 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [hexstrike-ai] 工具列表: • nmap_scan: Execute an enhanced Nmap scan against a target with • gobuster_scan: Execute Gobuster to find directories, DNS subdomain • nuclei_scan: Execute Nuclei vulnerability scanner with enhanced • prowler_scan: Execute Prowler for comprehensive cloud security as • trivy_scan: Execute Trivy for container and filesystem vulnerab • scout_suite_assessment: Execute Scout Suite for multi-cloud security assess • cloudmapper_analysis: Execute CloudMapper for AWS network visualization a • pacu_exploitation: Execute Pacu for AWS exploitation framework. • kube_hunter_scan: Execute kube-hunter for Kubernetes penetration test • kube_bench_cis: Execute kube-bench for CIS Kubernetes benchmark che • docker_bench_security_scan: Execute Docker Bench for Security for Docker securi • clair_vulnerability_scan: Execute Clair for container vulnerability analysis. • falco_runtime_monitoring: Execute Falco for runtime security monitoring. • checkov_iac_scan: Execute Checkov for infrastructure as code security • terrascan_iac_scan: Execute Terrascan for infrastructure as code securi • create_file: Create a file with specified content on the HexStri • modify_file: Modify an existing file on the HexStrike server. • delete_file: Delete a file or directory on the HexStrike server. • list_files: List files in a directory on the HexStrike server. • generate_payload: Generate large payloads for testing and exploitatio • install_python_package: Install a Python package in a virtual environment o • execute_python_script: Execute a Python script in a virtual environment on • dirb_scan: Execute Dirb for directory brute forcing with enhan • nikto_scan: Execute Nikto web vulnerability scanner with enhanc • sqlmap_scan: Execute SQLMap for SQL injection testing with enhan • metasploit_run: Execute a Metasploit module with enhanced logging. • hydra_attack: Execute Hydra for password brute forcing with enhan • john_crack: Execute John the Ripper for password cracking with • wpscan_analyze: Execute WPScan for WordPress vulnerability scanning • enum4linux_scan: Execute Enum4linux for SMB enumeration with enhance • ffuf_scan: Execute FFuf for web fuzzing with enhanced logging. • netexec_scan: Execute NetExec (formerly CrackMapExec) for network • amass_scan: Execute Amass for subdomain enumeration with enhanc • hashcat_crack: Execute Hashcat for advanced password cracking with • subfinder_scan: Execute Subfinder for passive subdomain enumeration • smbmap_scan: Execute SMBMap for SMB share enumeration with enhan • rustscan_fast_scan: Execute Rustscan for ultra-fast port scanning with • masscan_high_speed: Execute Masscan for high-speed Internet-scale port • nmap_advanced_scan: Execute advanced Nmap scans with custom NSE scripts • autorecon_comprehensive: Execute AutoRecon for comprehensive automated recon • enum4linux_ng_advanced: Execute Enum4linux-ng for advanced SMB enumeration • rpcclient_enumeration: Execute rpcclient for RPC enumeration with enhanced • nbtscan_netbios: Execute nbtscan for NetBIOS name scanning with enha • arp_scan_discovery: Execute arp-scan for network discovery with enhance • responder_credential_harvest: Execute Responder for credential harvesting with en • volatility_analyze: Execute Volatility for memory forensics analysis wi • msfvenom_generate: Execute MSFVenom for payload generation with enhanc • gdb_analyze: Execute GDB for binary analysis and debugging with • radare2_analyze: Execute Radare2 for binary analysis and reverse eng • binwalk_analyze: Execute Binwalk for firmware and file analysis with • ropgadget_search: Search for ROP gadgets in a binary using ROPgadget • checksec_analyze: Check security features of a binary with enhanced l • xxd_hexdump: Create a hex dump of a file using xxd with enhanced • strings_extract: Extract strings from a binary file with enhanced lo • objdump_analyze: Analyze a binary using objdump with enhanced loggin • ghidra_analysis: Execute Ghidra for advanced binary analysis and rev • pwntools_exploit: Execute Pwntools for exploit development and automa • one_gadget_search: Execute one_gadget to find one-shot RCE gadgets in • libc_database_lookup: Execute libc-database for libc identification and o • gdb_peda_debug: Execute GDB with PEDA for enhanced debugging and ex • angr_symbolic_execution: Execute angr for symbolic execution and binary anal • ropper_gadget_search: Execute ropper for advanced ROP/JOP gadget searchin • pwninit_setup: Execute pwninit for CTF binary exploitation setup. • feroxbuster_scan: Execute Feroxbuster for recursive content discovery • dotdotpwn_scan: Execute DotDotPwn for directory traversal testing w • xsser_scan: Execute XSSer for XSS vulnerability testing with en • wfuzz_scan: Execute Wfuzz for web application fuzzing with enha • dirsearch_scan: Execute Dirsearch for advanced directory and file d • katana_crawl: Execute Katana for next-generation crawling and spi • gau_discovery: Execute Gau (Get All URLs) for URL discovery from m • waybackurls_discovery: Execute Waybackurls for historical URL discovery wi • arjun_parameter_discovery: Execute Arjun for HTTP parameter discovery with enh • paramspider_mining: Execute ParamSpider for parameter mining from web a • x8_parameter_discovery: Execute x8 for hidden parameter discovery with enha • jaeles_vulnerability_scan: Execute Jaeles for advanced vulnerability scanning • dalfox_xss_scan: Execute Dalfox for advanced XSS vulnerability scann • httpx_probe: Execute httpx for fast HTTP probing and technology • anew_data_processing: Execute anew for appending new lines to files (usef • qsreplace_parameter_replacement: Execute qsreplace for query string parameter replac • uro_url_filtering: Execute uro for filtering out similar URLs. • ai_generate_payload: Generate AI-powered contextual payloads for securit • ai_test_payload: Test generated payload against target with AI analy • ai_generate_attack_suite: Generate comprehensive attack suite with multiple p • api_fuzzer: Advanced API endpoint fuzzing with intelligent para • graphql_scanner: Advanced GraphQL security scanning and introspectio • jwt_analyzer: Advanced JWT token analysis and vulnerability testi • api_schema_analyzer: Analyze API schemas and identify potential security • comprehensive_api_audit: Comprehensive API security audit combining multiple • volatility3_analyze: Execute Volatility3 for advanced memory forensics w • foremost_carving: Execute Foremost for file carving with enhanced log • steghide_analysis: Execute Steghide for steganography analysis with en • exiftool_extract: Execute ExifTool for metadata extraction with enhan • hashpump_attack: Execute HashPump for hash length extension attacks • hakrawler_crawl: Execute Hakrawler for web endpoint discovery with e • paramspider_discovery: Execute ParamSpider for parameter discovery with en • burpsuite_scan: Execute Burp Suite with enhanced logging. • zap_scan: Execute OWASP ZAP with enhanced logging. A • arjun_scan: Execute Arjun for parameter discovery with enhanced • wafw00f_scan: Execute wafw00f to identify and fingerprint WAF pro • fierce_scan: Execute fierce for DNS reconnaissance with enhanced • dnsenum_scan: Execute dnsenum for DNS enumeration with enhanced l • autorecon_scan: Execute AutoRecon for comprehensive target enumerat • server_health: Check the health status of the HexStrike AI server. • get_cache_stats: Get cache statistics from the HexStrike AI server. • clear_cache: Clear the cache on the HexStrike AI server. • get_telemetry: Get system telemetry from the HexStrike AI server. • list_active_processes: List all active processes on the HexStrike AI serve • get_process_status: Get the status of a specific process. Args • terminate_process: Terminate a specific running process. Args • pause_process: Pause a specific running process. Args: • resume_process: Resume a paused process. Args: • get_process_dashboard: Get enhanced process dashboard with visual status i • execute_command: Execute an arbitrary command on the HexStrike AI se • monitor_cve_feeds: Monitor CVE databases for new vulnerabilities with • generate_exploit_from_cve: Generate working exploits from CVE information usin • discover_attack_chains: Discover multi-stage attack chains for target softw • research_zero_day_opportunities: Automated zero-day vulnerability research using AI • correlate_threat_intelligence: Correlate threat intelligence across multiple sourc • advanced_payload_generation: Generate advanced payloads with AI-powered evasion • vulnerability_intelligence_dashboard: Get a comprehensive vulnerability intelligence dash • threat_hunting_assistant: AI-powered threat hunting assistant with vulnerabil • get_live_dashboard: Get a beautiful live dashboard showing all active p • create_vulnerability_report: Create a beautiful vulnerability report with severi • format_tool_output_visual: Format tool output with beautiful visual styling, s • create_scan_summary: Create a comprehensive scan summary report with bea • display_system_metrics: Display current system metrics and performance indi • analyze_target_intelligence: Analyze target using AI-powered intelligence to cre • select_optimal_tools_ai: Use AI to select optimal security tools based on ta • optimize_tool_parameters_ai: Use AI to optimize tool parameters based on target • create_attack_chain_ai: Create an intelligent attack chain using AI-driven • intelligent_smart_scan: Execute an intelligent scan using AI-driven tool se • detect_technologies_ai: Use AI to detect technologies and provide technolog • ai_reconnaissance_workflow: Execute AI-driven reconnaissance workflow with inte • ai_vulnerability_assessment: Perform AI-driven vulnerability assessment with int • bugbounty_reconnaissance_workflow: Create comprehensive reconnaissance workflow for bu • bugbounty_vulnerability_hunting: Create vulnerability hunting workflow prioritized b • bugbounty_business_logic_testing: Create business logic testing workflow for advanced • bugbounty_osint_gathering: Create OSINT (Open Source Intelligence) gathering w • bugbounty_file_upload_testing: Create file upload vulnerability testing workflow w • bugbounty_comprehensive_assessment: Create comprehensive bug bounty assessment combinin • bugbounty_authentication_bypass_testing: Create authentication bypass testing workflow for b • http_framework_test: Enhanced HTTP testing framework (Burp Suite alterna • browser_agent_inspect: AI-powered browser agent for comprehensive web appl • http_set_rules: Set match/replace rules used to rewrite parts of URL/query/h • http_set_scope: Define in-scope host (and optionally subdomains) so out-of-s • http_repeater: Send a crafted request (Burp Repeater equivalent). request_s • http_intruder: Simple Intruder (sniper) fuzzing. Iterates payloads over eac • burpsuite_alternative_scan: Comprehensive Burp Suite alternative combining HTTP • error_handling_statistics: Get intelligent error handling system statistics an • test_error_recovery: Test the intelligent error recovery system with sim 2026-04-13 15:19:11 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [hexstrike-ai] 注册完成 工具数=150: ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:19:11 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 150 个 ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:19:13 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 154 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:hexstrike-ai ] nmap_scan 🟢 [remote:hexstrike-ai ] gobuster_scan 🟢 [remote:hexstrike-ai ] nuclei_scan 🟢 [remote:hexstrike-ai ] prowler_scan 🟢 [remote:hexstrike-ai ] trivy_scan 🟢 [remote:hexstrike-ai ] scout_suite_assessment 🟢 [remote:hexstrike-ai ] cloudmapper_analysis 🟢 [remote:hexstrike-ai ] pacu_exploitation 🟢 [remote:hexstrike-ai ] kube_hunter_scan 🟢 [remote:hexstrike-ai ] kube_bench_cis 🟢 [remote:hexstrike-ai ] docker_bench_security_scan 🟢 [remote:hexstrike-ai ] clair_vulnerability_scan 🟢 [remote:hexstrike-ai ] falco_runtime_monitoring 🟢 [remote:hexstrike-ai ] checkov_iac_scan 🟢 [remote:hexstrike-ai ] terrascan_iac_scan 🟢 [remote:hexstrike-ai ] create_file 🟢 [remote:hexstrike-ai ] modify_file 🟢 [remote:hexstrike-ai ] delete_file 🟢 [remote:hexstrike-ai ] list_files 🟢 [remote:hexstrike-ai ] generate_payload 🟢 [remote:hexstrike-ai ] install_python_package 🟢 [remote:hexstrike-ai ] execute_python_script 🟢 [remote:hexstrike-ai ] dirb_scan 🟢 [remote:hexstrike-ai ] nikto_scan 🟢 [remote:hexstrike-ai ] sqlmap_scan 🟢 [remote:hexstrike-ai ] metasploit_run 🟢 [remote:hexstrike-ai ] hydra_attack 🟢 [remote:hexstrike-ai ] john_crack 🟢 [remote:hexstrike-ai ] wpscan_analyze 🟢 [remote:hexstrike-ai ] enum4linux_scan 🟢 [remote:hexstrike-ai ] ffuf_scan 🟢 [remote:hexstrike-ai ] netexec_scan 🟢 [remote:hexstrike-ai ] amass_scan 🟢 [remote:hexstrike-ai ] hashcat_crack 🟢 [remote:hexstrike-ai ] subfinder_scan 🟢 [remote:hexstrike-ai ] smbmap_scan 🟢 [remote:hexstrike-ai ] rustscan_fast_scan 🟢 [remote:hexstrike-ai ] masscan_high_speed 🟢 [remote:hexstrike-ai ] nmap_advanced_scan 🟢 [remote:hexstrike-ai ] autorecon_comprehensive 🟢 [remote:hexstrike-ai ] enum4linux_ng_advanced 🟢 [remote:hexstrike-ai ] rpcclient_enumeration 🟢 [remote:hexstrike-ai ] nbtscan_netbios 🟢 [remote:hexstrike-ai ] arp_scan_discovery 🟢 [remote:hexstrike-ai ] responder_credential_harvest 🟢 [remote:hexstrike-ai ] volatility_analyze 🟢 [remote:hexstrike-ai ] msfvenom_generate 🟢 [remote:hexstrike-ai ] gdb_analyze 🟢 [remote:hexstrike-ai ] radare2_analyze 🟢 [remote:hexstrike-ai ] binwalk_analyze 🟢 [remote:hexstrike-ai ] ropgadget_search 🟢 [remote:hexstrike-ai ] checksec_analyze 🟢 [remote:hexstrike-ai ] xxd_hexdump 🟢 [remote:hexstrike-ai ] strings_extract 🟢 [remote:hexstrike-ai ] objdump_analyze 🟢 [remote:hexstrike-ai ] ghidra_analysis 🟢 [remote:hexstrike-ai ] pwntools_exploit 🟢 [remote:hexstrike-ai ] one_gadget_search 🟢 [remote:hexstrike-ai ] libc_database_lookup 🟢 [remote:hexstrike-ai ] gdb_peda_debug 🟢 [remote:hexstrike-ai ] angr_symbolic_execution 🟢 [remote:hexstrike-ai ] ropper_gadget_search 🟢 [remote:hexstrike-ai ] pwninit_setup 🟢 [remote:hexstrike-ai ] feroxbuster_scan 🟢 [remote:hexstrike-ai ] dotdotpwn_scan 🟢 [remote:hexstrike-ai ] xsser_scan 🟢 [remote:hexstrike-ai ] wfuzz_scan 🟢 [remote:hexstrike-ai ] dirsearch_scan 🟢 [remote:hexstrike-ai ] katana_crawl 🟢 [remote:hexstrike-ai ] gau_discovery 🟢 [remote:hexstrike-ai ] waybackurls_discovery 🟢 [remote:hexstrike-ai ] arjun_parameter_discovery 🟢 [remote:hexstrike-ai ] paramspider_mining 🟢 [remote:hexstrike-ai ] x8_parameter_discovery 🟢 [remote:hexstrike-ai ] jaeles_vulnerability_scan 🟢 [remote:hexstrike-ai ] dalfox_xss_scan 🟢 [remote:hexstrike-ai ] httpx_probe 🟢 [remote:hexstrike-ai ] anew_data_processing 🟢 [remote:hexstrike-ai ] qsreplace_parameter_replacement 🟢 [remote:hexstrike-ai ] uro_url_filtering 🟢 [remote:hexstrike-ai ] ai_generate_payload 🟢 [remote:hexstrike-ai ] ai_test_payload 🟢 [remote:hexstrike-ai ] ai_generate_attack_suite 🟢 [remote:hexstrike-ai ] api_fuzzer 🟢 [remote:hexstrike-ai ] graphql_scanner 🟢 [remote:hexstrike-ai ] jwt_analyzer 🟢 [remote:hexstrike-ai ] api_schema_analyzer 🟢 [remote:hexstrike-ai ] comprehensive_api_audit 🟢 [remote:hexstrike-ai ] volatility3_analyze 🟢 [remote:hexstrike-ai ] foremost_carving 🟢 [remote:hexstrike-ai ] steghide_analysis 🟢 [remote:hexstrike-ai ] exiftool_extract 🟢 [remote:hexstrike-ai ] hashpump_attack 🟢 [remote:hexstrike-ai ] hakrawler_crawl 🟢 [remote:hexstrike-ai ] paramspider_discovery 🟢 [remote:hexstrike-ai ] burpsuite_scan 🟢 [remote:hexstrike-ai ] zap_scan 🟢 [remote:hexstrike-ai ] arjun_scan 🟢 [remote:hexstrike-ai ] wafw00f_scan 🟢 [remote:hexstrike-ai ] fierce_scan 🟢 [remote:hexstrike-ai ] dnsenum_scan 🟢 [remote:hexstrike-ai ] autorecon_scan 🟢 [remote:hexstrike-ai ] server_health 🟢 [remote:hexstrike-ai ] get_cache_stats 🟢 [remote:hexstrike-ai ] clear_cache 🟢 [remote:hexstrike-ai ] get_telemetry 🟢 [remote:hexstrike-ai ] list_active_processes 🟢 [remote:hexstrike-ai ] get_process_status 🟢 [remote:hexstrike-ai ] terminate_process 🟢 [remote:hexstrike-ai ] pause_process 🟢 [remote:hexstrike-ai ] resume_process 🟢 [remote:hexstrike-ai ] get_process_dashboard 🟢 [remote:hexstrike-ai ] execute_command 🟢 [remote:hexstrike-ai ] monitor_cve_feeds 🟢 [remote:hexstrike-ai ] generate_exploit_from_cve 🟢 [remote:hexstrike-ai ] discover_attack_chains 🟢 [remote:hexstrike-ai ] research_zero_day_opportunities 🟢 [remote:hexstrike-ai ] correlate_threat_intelligence 🟢 [remote:hexstrike-ai ] advanced_payload_generation 🟢 [remote:hexstrike-ai ] vulnerability_intelligence_dashboard 🟢 [remote:hexstrike-ai ] threat_hunting_assistant 🟢 [remote:hexstrike-ai ] get_live_dashboard 🟢 [remote:hexstrike-ai ] create_vulnerability_report 🟢 [remote:hexstrike-ai ] format_tool_output_visual 🟢 [remote:hexstrike-ai ] create_scan_summary 🟢 [remote:hexstrike-ai ] display_system_metrics 🟢 [remote:hexstrike-ai ] analyze_target_intelligence 🟢 [remote:hexstrike-ai ] select_optimal_tools_ai 🟢 [remote:hexstrike-ai ] optimize_tool_parameters_ai 🟢 [remote:hexstrike-ai ] create_attack_chain_ai 🟢 [remote:hexstrike-ai ] intelligent_smart_scan 🟢 [remote:hexstrike-ai ] detect_technologies_ai 🟢 [remote:hexstrike-ai ] ai_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] ai_vulnerability_assessment 🟢 [remote:hexstrike-ai ] bugbounty_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] bugbounty_vulnerability_hunting 🟢 [remote:hexstrike-ai ] bugbounty_business_logic_testing 🟢 [remote:hexstrike-ai ] bugbounty_osint_gathering 🟢 [remote:hexstrike-ai ] bugbounty_file_upload_testing 🟢 [remote:hexstrike-ai ] bugbounty_comprehensive_assessment 🟢 [remote:hexstrike-ai ] bugbounty_authentication_bypass_testing 🟢 [remote:hexstrike-ai ] http_framework_test 🟢 [remote:hexstrike-ai ] browser_agent_inspect 🟢 [remote:hexstrike-ai ] http_set_rules 🟢 [remote:hexstrike-ai ] http_set_scope 🟢 [remote:hexstrike-ai ] http_repeater 🟢 [remote:hexstrike-ai ] http_intruder 🟢 [remote:hexstrike-ai ] burpsuite_alternative_scan 🟢 [remote:hexstrike-ai ] error_handling_statistics 🟢 [remote:hexstrike-ai ] test_error_recovery 2026-04-13 15:19:57 [INFO ] agent.Agent │ 💬 用户输入: 扫描主机192.168.0.1 2026-04-13 15:19:57 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-04-13 15:20:14 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:20:14 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 15:20:14 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 15:22:07 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:22:07 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:22:07 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:22:07 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:22:07 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=2 2026-04-13 15:22:07 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [everything] 传输协议: sse 地址 : http://localhost:3001/sse 超时 : 30s 重试 : 2 次 2026-04-13 15:22:08 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-04-13 15:22:08 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-04-13 15:22:18 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-04-13 15:22:19 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-04-13 15:22:19 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-04-13 15:22:29 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-04-13 15:22:31 [INFO ] agent.MCP.SkillClient │ 🔌 SSE 连接: http://localhost:3001/sse timeout=30s 2026-04-13 15:22:31 [ERROR ] agent.MCP.SkillClient │ ❌ SSE 监听异常: Expected response header Content-Type to contain 'text/event-stream', got '' 2026-04-13 15:22:41 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [everything] 连接失败，跳过 错误: ❌ MCP Skill [everything] 连接失败（已重试 2 次） 最后错误: SSE 连接超时：未收到 endpoint 事件 URL: http://localhost:3001/sse 请检查 MCP Server 是否正常运行 2026-04-13 15:22:41 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [everything] 已断开 2026-04-13 15:22:41 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:22:41 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:22:41 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=41006 2026-04-13 15:22:53 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [hexstrike-ai] 服务端: hexstrike-ai-mcp v1.26.0 协议版本: 2024-11-05 2026-04-13 15:22:53 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [hexstrike-ai] 连接成功 2026-04-13 15:22:54 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [hexstrike-ai] 工具列表: • nmap_scan: Execute an enhanced Nmap scan against a target with • gobuster_scan: Execute Gobuster to find directories, DNS subdomain • nuclei_scan: Execute Nuclei vulnerability scanner with enhanced • prowler_scan: Execute Prowler for comprehensive cloud security as • trivy_scan: Execute Trivy for container and filesystem vulnerab • scout_suite_assessment: Execute Scout Suite for multi-cloud security assess • cloudmapper_analysis: Execute CloudMapper for AWS network visualization a • pacu_exploitation: Execute Pacu for AWS exploitation framework. • kube_hunter_scan: Execute kube-hunter for Kubernetes penetration test • kube_bench_cis: Execute kube-bench for CIS Kubernetes benchmark che • docker_bench_security_scan: Execute Docker Bench for Security for Docker securi • clair_vulnerability_scan: Execute Clair for container vulnerability analysis. • falco_runtime_monitoring: Execute Falco for runtime security monitoring. • checkov_iac_scan: Execute Checkov for infrastructure as code security • terrascan_iac_scan: Execute Terrascan for infrastructure as code securi • create_file: Create a file with specified content on the HexStri • modify_file: Modify an existing file on the HexStrike server. • delete_file: Delete a file or directory on the HexStrike server. • list_files: List files in a directory on the HexStrike server. • generate_payload: Generate large payloads for testing and exploitatio • install_python_package: Install a Python package in a virtual environment o • execute_python_script: Execute a Python script in a virtual environment on • dirb_scan: Execute Dirb for directory brute forcing with enhan • nikto_scan: Execute Nikto web vulnerability scanner with enhanc • sqlmap_scan: Execute SQLMap for SQL injection testing with enhan • metasploit_run: Execute a Metasploit module with enhanced logging. • hydra_attack: Execute Hydra for password brute forcing with enhan • john_crack: Execute John the Ripper for password cracking with • wpscan_analyze: Execute WPScan for WordPress vulnerability scanning • enum4linux_scan: Execute Enum4linux for SMB enumeration with enhance • ffuf_scan: Execute FFuf for web fuzzing with enhanced logging. • netexec_scan: Execute NetExec (formerly CrackMapExec) for network • amass_scan: Execute Amass for subdomain enumeration with enhanc • hashcat_crack: Execute Hashcat for advanced password cracking with • subfinder_scan: Execute Subfinder for passive subdomain enumeration • smbmap_scan: Execute SMBMap for SMB share enumeration with enhan • rustscan_fast_scan: Execute Rustscan for ultra-fast port scanning with • masscan_high_speed: Execute Masscan for high-speed Internet-scale port • nmap_advanced_scan: Execute advanced Nmap scans with custom NSE scripts • autorecon_comprehensive: Execute AutoRecon for comprehensive automated recon • enum4linux_ng_advanced: Execute Enum4linux-ng for advanced SMB enumeration • rpcclient_enumeration: Execute rpcclient for RPC enumeration with enhanced • nbtscan_netbios: Execute nbtscan for NetBIOS name scanning with enha • arp_scan_discovery: Execute arp-scan for network discovery with enhance • responder_credential_harvest: Execute Responder for credential harvesting with en • volatility_analyze: Execute Volatility for memory forensics analysis wi • msfvenom_generate: Execute MSFVenom for payload generation with enhanc • gdb_analyze: Execute GDB for binary analysis and debugging with • radare2_analyze: Execute Radare2 for binary analysis and reverse eng • binwalk_analyze: Execute Binwalk for firmware and file analysis with • ropgadget_search: Search for ROP gadgets in a binary using ROPgadget • checksec_analyze: Check security features of a binary with enhanced l • xxd_hexdump: Create a hex dump of a file using xxd with enhanced • strings_extract: Extract strings from a binary file with enhanced lo • objdump_analyze: Analyze a binary using objdump with enhanced loggin • ghidra_analysis: Execute Ghidra for advanced binary analysis and rev • pwntools_exploit: Execute Pwntools for exploit development and automa • one_gadget_search: Execute one_gadget to find one-shot RCE gadgets in • libc_database_lookup: Execute libc-database for libc identification and o • gdb_peda_debug: Execute GDB with PEDA for enhanced debugging and ex • angr_symbolic_execution: Execute angr for symbolic execution and binary anal • ropper_gadget_search: Execute ropper for advanced ROP/JOP gadget searchin • pwninit_setup: Execute pwninit for CTF binary exploitation setup. • feroxbuster_scan: Execute Feroxbuster for recursive content discovery • dotdotpwn_scan: Execute DotDotPwn for directory traversal testing w • xsser_scan: Execute XSSer for XSS vulnerability testing with en • wfuzz_scan: Execute Wfuzz for web application fuzzing with enha • dirsearch_scan: Execute Dirsearch for advanced directory and file d • katana_crawl: Execute Katana for next-generation crawling and spi • gau_discovery: Execute Gau (Get All URLs) for URL discovery from m • waybackurls_discovery: Execute Waybackurls for historical URL discovery wi • arjun_parameter_discovery: Execute Arjun for HTTP parameter discovery with enh • paramspider_mining: Execute ParamSpider for parameter mining from web a • x8_parameter_discovery: Execute x8 for hidden parameter discovery with enha • jaeles_vulnerability_scan: Execute Jaeles for advanced vulnerability scanning • dalfox_xss_scan: Execute Dalfox for advanced XSS vulnerability scann • httpx_probe: Execute httpx for fast HTTP probing and technology • anew_data_processing: Execute anew for appending new lines to files (usef • qsreplace_parameter_replacement: Execute qsreplace for query string parameter replac • uro_url_filtering: Execute uro for filtering out similar URLs. • ai_generate_payload: Generate AI-powered contextual payloads for securit • ai_test_payload: Test generated payload against target with AI analy • ai_generate_attack_suite: Generate comprehensive attack suite with multiple p • api_fuzzer: Advanced API endpoint fuzzing with intelligent para • graphql_scanner: Advanced GraphQL security scanning and introspectio • jwt_analyzer: Advanced JWT token analysis and vulnerability testi • api_schema_analyzer: Analyze API schemas and identify potential security • comprehensive_api_audit: Comprehensive API security audit combining multiple • volatility3_analyze: Execute Volatility3 for advanced memory forensics w • foremost_carving: Execute Foremost for file carving with enhanced log • steghide_analysis: Execute Steghide for steganography analysis with en • exiftool_extract: Execute ExifTool for metadata extraction with enhan • hashpump_attack: Execute HashPump for hash length extension attacks • hakrawler_crawl: Execute Hakrawler for web endpoint discovery with e • paramspider_discovery: Execute ParamSpider for parameter discovery with en • burpsuite_scan: Execute Burp Suite with enhanced logging. • zap_scan: Execute OWASP ZAP with enhanced logging. A • arjun_scan: Execute Arjun for parameter discovery with enhanced • wafw00f_scan: Execute wafw00f to identify and fingerprint WAF pro • fierce_scan: Execute fierce for DNS reconnaissance with enhanced • dnsenum_scan: Execute dnsenum for DNS enumeration with enhanced l • autorecon_scan: Execute AutoRecon for comprehensive target enumerat • server_health: Check the health status of the HexStrike AI server. • get_cache_stats: Get cache statistics from the HexStrike AI server. • clear_cache: Clear the cache on the HexStrike AI server. • get_telemetry: Get system telemetry from the HexStrike AI server. • list_active_processes: List all active processes on the HexStrike AI serve • get_process_status: Get the status of a specific process. Args • terminate_process: Terminate a specific running process. Args • pause_process: Pause a specific running process. Args: • resume_process: Resume a paused process. Args: • get_process_dashboard: Get enhanced process dashboard with visual status i • execute_command: Execute an arbitrary command on the HexStrike AI se • monitor_cve_feeds: Monitor CVE databases for new vulnerabilities with • generate_exploit_from_cve: Generate working exploits from CVE information usin • discover_attack_chains: Discover multi-stage attack chains for target softw • research_zero_day_opportunities: Automated zero-day vulnerability research using AI • correlate_threat_intelligence: Correlate threat intelligence across multiple sourc • advanced_payload_generation: Generate advanced payloads with AI-powered evasion • vulnerability_intelligence_dashboard: Get a comprehensive vulnerability intelligence dash • threat_hunting_assistant: AI-powered threat hunting assistant with vulnerabil • get_live_dashboard: Get a beautiful live dashboard showing all active p • create_vulnerability_report: Create a beautiful vulnerability report with severi • format_tool_output_visual: Format tool output with beautiful visual styling, s • create_scan_summary: Create a comprehensive scan summary report with bea • display_system_metrics: Display current system metrics and performance indi • analyze_target_intelligence: Analyze target using AI-powered intelligence to cre • select_optimal_tools_ai: Use AI to select optimal security tools based on ta • optimize_tool_parameters_ai: Use AI to optimize tool parameters based on target • create_attack_chain_ai: Create an intelligent attack chain using AI-driven • intelligent_smart_scan: Execute an intelligent scan using AI-driven tool se • detect_technologies_ai: Use AI to detect technologies and provide technolog • ai_reconnaissance_workflow: Execute AI-driven reconnaissance workflow with inte • ai_vulnerability_assessment: Perform AI-driven vulnerability assessment with int • bugbounty_reconnaissance_workflow: Create comprehensive reconnaissance workflow for bu • bugbounty_vulnerability_hunting: Create vulnerability hunting workflow prioritized b • bugbounty_business_logic_testing: Create business logic testing workflow for advanced • bugbounty_osint_gathering: Create OSINT (Open Source Intelligence) gathering w • bugbounty_file_upload_testing: Create file upload vulnerability testing workflow w • bugbounty_comprehensive_assessment: Create comprehensive bug bounty assessment combinin • bugbounty_authentication_bypass_testing: Create authentication bypass testing workflow for b • http_framework_test: Enhanced HTTP testing framework (Burp Suite alterna • browser_agent_inspect: AI-powered browser agent for comprehensive web appl • http_set_rules: Set match/replace rules used to rewrite parts of URL/query/h • http_set_scope: Define in-scope host (and optionally subdomains) so out-of-s • http_repeater: Send a crafted request (Burp Repeater equivalent). request_s • http_intruder: Simple Intruder (sniper) fuzzing. Iterates payloads over eac • burpsuite_alternative_scan: Comprehensive Burp Suite alternative combining HTTP • error_handling_statistics: Get intelligent error handling system statistics an • test_error_recovery: Test the intelligent error recovery system with sim 2026-04-13 15:22:54 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [hexstrike-ai] 注册完成 工具数=150: ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:22:54 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 150 个 ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:22:56 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 154 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:hexstrike-ai ] nmap_scan 🟢 [remote:hexstrike-ai ] gobuster_scan 🟢 [remote:hexstrike-ai ] nuclei_scan 🟢 [remote:hexstrike-ai ] prowler_scan 🟢 [remote:hexstrike-ai ] trivy_scan 🟢 [remote:hexstrike-ai ] scout_suite_assessment 🟢 [remote:hexstrike-ai ] cloudmapper_analysis 🟢 [remote:hexstrike-ai ] pacu_exploitation 🟢 [remote:hexstrike-ai ] kube_hunter_scan 🟢 [remote:hexstrike-ai ] kube_bench_cis 🟢 [remote:hexstrike-ai ] docker_bench_security_scan 🟢 [remote:hexstrike-ai ] clair_vulnerability_scan 🟢 [remote:hexstrike-ai ] falco_runtime_monitoring 🟢 [remote:hexstrike-ai ] checkov_iac_scan 🟢 [remote:hexstrike-ai ] terrascan_iac_scan 🟢 [remote:hexstrike-ai ] create_file 🟢 [remote:hexstrike-ai ] modify_file 🟢 [remote:hexstrike-ai ] delete_file 🟢 [remote:hexstrike-ai ] list_files 🟢 [remote:hexstrike-ai ] generate_payload 🟢 [remote:hexstrike-ai ] install_python_package 🟢 [remote:hexstrike-ai ] execute_python_script 🟢 [remote:hexstrike-ai ] dirb_scan 🟢 [remote:hexstrike-ai ] nikto_scan 🟢 [remote:hexstrike-ai ] sqlmap_scan 🟢 [remote:hexstrike-ai ] metasploit_run 🟢 [remote:hexstrike-ai ] hydra_attack 🟢 [remote:hexstrike-ai ] john_crack 🟢 [remote:hexstrike-ai ] wpscan_analyze 🟢 [remote:hexstrike-ai ] enum4linux_scan 🟢 [remote:hexstrike-ai ] ffuf_scan 🟢 [remote:hexstrike-ai ] netexec_scan 🟢 [remote:hexstrike-ai ] amass_scan 🟢 [remote:hexstrike-ai ] hashcat_crack 🟢 [remote:hexstrike-ai ] subfinder_scan 🟢 [remote:hexstrike-ai ] smbmap_scan 🟢 [remote:hexstrike-ai ] rustscan_fast_scan 🟢 [remote:hexstrike-ai ] masscan_high_speed 🟢 [remote:hexstrike-ai ] nmap_advanced_scan 🟢 [remote:hexstrike-ai ] autorecon_comprehensive 🟢 [remote:hexstrike-ai ] enum4linux_ng_advanced 🟢 [remote:hexstrike-ai ] rpcclient_enumeration 🟢 [remote:hexstrike-ai ] nbtscan_netbios 🟢 [remote:hexstrike-ai ] arp_scan_discovery 🟢 [remote:hexstrike-ai ] responder_credential_harvest 🟢 [remote:hexstrike-ai ] volatility_analyze 🟢 [remote:hexstrike-ai ] msfvenom_generate 🟢 [remote:hexstrike-ai ] gdb_analyze 🟢 [remote:hexstrike-ai ] radare2_analyze 🟢 [remote:hexstrike-ai ] binwalk_analyze 🟢 [remote:hexstrike-ai ] ropgadget_search 🟢 [remote:hexstrike-ai ] checksec_analyze 🟢 [remote:hexstrike-ai ] xxd_hexdump 🟢 [remote:hexstrike-ai ] strings_extract 🟢 [remote:hexstrike-ai ] objdump_analyze 🟢 [remote:hexstrike-ai ] ghidra_analysis 🟢 [remote:hexstrike-ai ] pwntools_exploit 🟢 [remote:hexstrike-ai ] one_gadget_search 🟢 [remote:hexstrike-ai ] libc_database_lookup 🟢 [remote:hexstrike-ai ] gdb_peda_debug 🟢 [remote:hexstrike-ai ] angr_symbolic_execution 🟢 [remote:hexstrike-ai ] ropper_gadget_search 🟢 [remote:hexstrike-ai ] pwninit_setup 🟢 [remote:hexstrike-ai ] feroxbuster_scan 🟢 [remote:hexstrike-ai ] dotdotpwn_scan 🟢 [remote:hexstrike-ai ] xsser_scan 🟢 [remote:hexstrike-ai ] wfuzz_scan 🟢 [remote:hexstrike-ai ] dirsearch_scan 🟢 [remote:hexstrike-ai ] katana_crawl 🟢 [remote:hexstrike-ai ] gau_discovery 🟢 [remote:hexstrike-ai ] waybackurls_discovery 🟢 [remote:hexstrike-ai ] arjun_parameter_discovery 🟢 [remote:hexstrike-ai ] paramspider_mining 🟢 [remote:hexstrike-ai ] x8_parameter_discovery 🟢 [remote:hexstrike-ai ] jaeles_vulnerability_scan 🟢 [remote:hexstrike-ai ] dalfox_xss_scan 🟢 [remote:hexstrike-ai ] httpx_probe 🟢 [remote:hexstrike-ai ] anew_data_processing 🟢 [remote:hexstrike-ai ] qsreplace_parameter_replacement 🟢 [remote:hexstrike-ai ] uro_url_filtering 🟢 [remote:hexstrike-ai ] ai_generate_payload 🟢 [remote:hexstrike-ai ] ai_test_payload 🟢 [remote:hexstrike-ai ] ai_generate_attack_suite 🟢 [remote:hexstrike-ai ] api_fuzzer 🟢 [remote:hexstrike-ai ] graphql_scanner 🟢 [remote:hexstrike-ai ] jwt_analyzer 🟢 [remote:hexstrike-ai ] api_schema_analyzer 🟢 [remote:hexstrike-ai ] comprehensive_api_audit 🟢 [remote:hexstrike-ai ] volatility3_analyze 🟢 [remote:hexstrike-ai ] foremost_carving 🟢 [remote:hexstrike-ai ] steghide_analysis 🟢 [remote:hexstrike-ai ] exiftool_extract 🟢 [remote:hexstrike-ai ] hashpump_attack 🟢 [remote:hexstrike-ai ] hakrawler_crawl 🟢 [remote:hexstrike-ai ] paramspider_discovery 🟢 [remote:hexstrike-ai ] burpsuite_scan 🟢 [remote:hexstrike-ai ] zap_scan 🟢 [remote:hexstrike-ai ] arjun_scan 🟢 [remote:hexstrike-ai ] wafw00f_scan 🟢 [remote:hexstrike-ai ] fierce_scan 🟢 [remote:hexstrike-ai ] dnsenum_scan 🟢 [remote:hexstrike-ai ] autorecon_scan 🟢 [remote:hexstrike-ai ] server_health 🟢 [remote:hexstrike-ai ] get_cache_stats 🟢 [remote:hexstrike-ai ] clear_cache 🟢 [remote:hexstrike-ai ] get_telemetry 🟢 [remote:hexstrike-ai ] list_active_processes 🟢 [remote:hexstrike-ai ] get_process_status 🟢 [remote:hexstrike-ai ] terminate_process 🟢 [remote:hexstrike-ai ] pause_process 🟢 [remote:hexstrike-ai ] resume_process 🟢 [remote:hexstrike-ai ] get_process_dashboard 🟢 [remote:hexstrike-ai ] execute_command 🟢 [remote:hexstrike-ai ] monitor_cve_feeds 🟢 [remote:hexstrike-ai ] generate_exploit_from_cve 🟢 [remote:hexstrike-ai ] discover_attack_chains 🟢 [remote:hexstrike-ai ] research_zero_day_opportunities 🟢 [remote:hexstrike-ai ] correlate_threat_intelligence 🟢 [remote:hexstrike-ai ] advanced_payload_generation 🟢 [remote:hexstrike-ai ] vulnerability_intelligence_dashboard 🟢 [remote:hexstrike-ai ] threat_hunting_assistant 🟢 [remote:hexstrike-ai ] get_live_dashboard 🟢 [remote:hexstrike-ai ] create_vulnerability_report 🟢 [remote:hexstrike-ai ] format_tool_output_visual 🟢 [remote:hexstrike-ai ] create_scan_summary 🟢 [remote:hexstrike-ai ] display_system_metrics 🟢 [remote:hexstrike-ai ] analyze_target_intelligence 🟢 [remote:hexstrike-ai ] select_optimal_tools_ai 🟢 [remote:hexstrike-ai ] optimize_tool_parameters_ai 🟢 [remote:hexstrike-ai ] create_attack_chain_ai 🟢 [remote:hexstrike-ai ] intelligent_smart_scan 🟢 [remote:hexstrike-ai ] detect_technologies_ai 🟢 [remote:hexstrike-ai ] ai_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] ai_vulnerability_assessment 🟢 [remote:hexstrike-ai ] bugbounty_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] bugbounty_vulnerability_hunting 🟢 [remote:hexstrike-ai ] bugbounty_business_logic_testing 🟢 [remote:hexstrike-ai ] bugbounty_osint_gathering 🟢 [remote:hexstrike-ai ] bugbounty_file_upload_testing 🟢 [remote:hexstrike-ai ] bugbounty_comprehensive_assessment 🟢 [remote:hexstrike-ai ] bugbounty_authentication_bypass_testing 🟢 [remote:hexstrike-ai ] http_framework_test 🟢 [remote:hexstrike-ai ] browser_agent_inspect 🟢 [remote:hexstrike-ai ] http_set_rules 🟢 [remote:hexstrike-ai ] http_set_scope 🟢 [remote:hexstrike-ai ] http_repeater 🟢 [remote:hexstrike-ai ] http_intruder 🟢 [remote:hexstrike-ai ] burpsuite_alternative_scan 🟢 [remote:hexstrike-ai ] error_handling_statistics 🟢 [remote:hexstrike-ai ] test_error_recovery 2026-04-13 15:22:56 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:22:57 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 15:22:57 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 15:23:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:23:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:23:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:23:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:23:00 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:23:00 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:23:00 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:23:00 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=41304 2026-04-13 15:23:09 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [hexstrike-ai] 服务端: hexstrike-ai-mcp v1.26.0 协议版本: 2024-11-05 2026-04-13 15:23:09 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [hexstrike-ai] 连接成功 2026-04-13 15:23:09 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [hexstrike-ai] 工具列表: • nmap_scan: Execute an enhanced Nmap scan against a target with • gobuster_scan: Execute Gobuster to find directories, DNS subdomain • nuclei_scan: Execute Nuclei vulnerability scanner with enhanced • prowler_scan: Execute Prowler for comprehensive cloud security as • trivy_scan: Execute Trivy for container and filesystem vulnerab • scout_suite_assessment: Execute Scout Suite for multi-cloud security assess • cloudmapper_analysis: Execute CloudMapper for AWS network visualization a • pacu_exploitation: Execute Pacu for AWS exploitation framework. • kube_hunter_scan: Execute kube-hunter for Kubernetes penetration test • kube_bench_cis: Execute kube-bench for CIS Kubernetes benchmark che • docker_bench_security_scan: Execute Docker Bench for Security for Docker securi • clair_vulnerability_scan: Execute Clair for container vulnerability analysis. • falco_runtime_monitoring: Execute Falco for runtime security monitoring. • checkov_iac_scan: Execute Checkov for infrastructure as code security • terrascan_iac_scan: Execute Terrascan for infrastructure as code securi • create_file: Create a file with specified content on the HexStri • modify_file: Modify an existing file on the HexStrike server. • delete_file: Delete a file or directory on the HexStrike server. • list_files: List files in a directory on the HexStrike server. • generate_payload: Generate large payloads for testing and exploitatio • install_python_package: Install a Python package in a virtual environment o • execute_python_script: Execute a Python script in a virtual environment on • dirb_scan: Execute Dirb for directory brute forcing with enhan • nikto_scan: Execute Nikto web vulnerability scanner with enhanc • sqlmap_scan: Execute SQLMap for SQL injection testing with enhan • metasploit_run: Execute a Metasploit module with enhanced logging. • hydra_attack: Execute Hydra for password brute forcing with enhan • john_crack: Execute John the Ripper for password cracking with • wpscan_analyze: Execute WPScan for WordPress vulnerability scanning • enum4linux_scan: Execute Enum4linux for SMB enumeration with enhance • ffuf_scan: Execute FFuf for web fuzzing with enhanced logging. • netexec_scan: Execute NetExec (formerly CrackMapExec) for network • amass_scan: Execute Amass for subdomain enumeration with enhanc • hashcat_crack: Execute Hashcat for advanced password cracking with • subfinder_scan: Execute Subfinder for passive subdomain enumeration • smbmap_scan: Execute SMBMap for SMB share enumeration with enhan • rustscan_fast_scan: Execute Rustscan for ultra-fast port scanning with • masscan_high_speed: Execute Masscan for high-speed Internet-scale port • nmap_advanced_scan: Execute advanced Nmap scans with custom NSE scripts • autorecon_comprehensive: Execute AutoRecon for comprehensive automated recon • enum4linux_ng_advanced: Execute Enum4linux-ng for advanced SMB enumeration • rpcclient_enumeration: Execute rpcclient for RPC enumeration with enhanced • nbtscan_netbios: Execute nbtscan for NetBIOS name scanning with enha • arp_scan_discovery: Execute arp-scan for network discovery with enhance • responder_credential_harvest: Execute Responder for credential harvesting with en • volatility_analyze: Execute Volatility for memory forensics analysis wi • msfvenom_generate: Execute MSFVenom for payload generation with enhanc • gdb_analyze: Execute GDB for binary analysis and debugging with • radare2_analyze: Execute Radare2 for binary analysis and reverse eng • binwalk_analyze: Execute Binwalk for firmware and file analysis with • ropgadget_search: Search for ROP gadgets in a binary using ROPgadget • checksec_analyze: Check security features of a binary with enhanced l • xxd_hexdump: Create a hex dump of a file using xxd with enhanced • strings_extract: Extract strings from a binary file with enhanced lo • objdump_analyze: Analyze a binary using objdump with enhanced loggin • ghidra_analysis: Execute Ghidra for advanced binary analysis and rev • pwntools_exploit: Execute Pwntools for exploit development and automa • one_gadget_search: Execute one_gadget to find one-shot RCE gadgets in • libc_database_lookup: Execute libc-database for libc identification and o • gdb_peda_debug: Execute GDB with PEDA for enhanced debugging and ex • angr_symbolic_execution: Execute angr for symbolic execution and binary anal • ropper_gadget_search: Execute ropper for advanced ROP/JOP gadget searchin • pwninit_setup: Execute pwninit for CTF binary exploitation setup. • feroxbuster_scan: Execute Feroxbuster for recursive content discovery • dotdotpwn_scan: Execute DotDotPwn for directory traversal testing w • xsser_scan: Execute XSSer for XSS vulnerability testing with en • wfuzz_scan: Execute Wfuzz for web application fuzzing with enha • dirsearch_scan: Execute Dirsearch for advanced directory and file d • katana_crawl: Execute Katana for next-generation crawling and spi • gau_discovery: Execute Gau (Get All URLs) for URL discovery from m • waybackurls_discovery: Execute Waybackurls for historical URL discovery wi • arjun_parameter_discovery: Execute Arjun for HTTP parameter discovery with enh • paramspider_mining: Execute ParamSpider for parameter mining from web a • x8_parameter_discovery: Execute x8 for hidden parameter discovery with enha • jaeles_vulnerability_scan: Execute Jaeles for advanced vulnerability scanning • dalfox_xss_scan: Execute Dalfox for advanced XSS vulnerability scann • httpx_probe: Execute httpx for fast HTTP probing and technology • anew_data_processing: Execute anew for appending new lines to files (usef • qsreplace_parameter_replacement: Execute qsreplace for query string parameter replac • uro_url_filtering: Execute uro for filtering out similar URLs. • ai_generate_payload: Generate AI-powered contextual payloads for securit • ai_test_payload: Test generated payload against target with AI analy • ai_generate_attack_suite: Generate comprehensive attack suite with multiple p • api_fuzzer: Advanced API endpoint fuzzing with intelligent para • graphql_scanner: Advanced GraphQL security scanning and introspectio • jwt_analyzer: Advanced JWT token analysis and vulnerability testi • api_schema_analyzer: Analyze API schemas and identify potential security • comprehensive_api_audit: Comprehensive API security audit combining multiple • volatility3_analyze: Execute Volatility3 for advanced memory forensics w • foremost_carving: Execute Foremost for file carving with enhanced log • steghide_analysis: Execute Steghide for steganography analysis with en • exiftool_extract: Execute ExifTool for metadata extraction with enhan • hashpump_attack: Execute HashPump for hash length extension attacks • hakrawler_crawl: Execute Hakrawler for web endpoint discovery with e • paramspider_discovery: Execute ParamSpider for parameter discovery with en • burpsuite_scan: Execute Burp Suite with enhanced logging. • zap_scan: Execute OWASP ZAP with enhanced logging. A • arjun_scan: Execute Arjun for parameter discovery with enhanced • wafw00f_scan: Execute wafw00f to identify and fingerprint WAF pro • fierce_scan: Execute fierce for DNS reconnaissance with enhanced • dnsenum_scan: Execute dnsenum for DNS enumeration with enhanced l • autorecon_scan: Execute AutoRecon for comprehensive target enumerat • server_health: Check the health status of the HexStrike AI server. • get_cache_stats: Get cache statistics from the HexStrike AI server. • clear_cache: Clear the cache on the HexStrike AI server. • get_telemetry: Get system telemetry from the HexStrike AI server. • list_active_processes: List all active processes on the HexStrike AI serve • get_process_status: Get the status of a specific process. Args • terminate_process: Terminate a specific running process. Args • pause_process: Pause a specific running process. Args: • resume_process: Resume a paused process. Args: • get_process_dashboard: Get enhanced process dashboard with visual status i • execute_command: Execute an arbitrary command on the HexStrike AI se • monitor_cve_feeds: Monitor CVE databases for new vulnerabilities with • generate_exploit_from_cve: Generate working exploits from CVE information usin • discover_attack_chains: Discover multi-stage attack chains for target softw • research_zero_day_opportunities: Automated zero-day vulnerability research using AI • correlate_threat_intelligence: Correlate threat intelligence across multiple sourc • advanced_payload_generation: Generate advanced payloads with AI-powered evasion • vulnerability_intelligence_dashboard: Get a comprehensive vulnerability intelligence dash • threat_hunting_assistant: AI-powered threat hunting assistant with vulnerabil • get_live_dashboard: Get a beautiful live dashboard showing all active p • create_vulnerability_report: Create a beautiful vulnerability report with severi • format_tool_output_visual: Format tool output with beautiful visual styling, s • create_scan_summary: Create a comprehensive scan summary report with bea • display_system_metrics: Display current system metrics and performance indi • analyze_target_intelligence: Analyze target using AI-powered intelligence to cre • select_optimal_tools_ai: Use AI to select optimal security tools based on ta • optimize_tool_parameters_ai: Use AI to optimize tool parameters based on target • create_attack_chain_ai: Create an intelligent attack chain using AI-driven • intelligent_smart_scan: Execute an intelligent scan using AI-driven tool se • detect_technologies_ai: Use AI to detect technologies and provide technolog • ai_reconnaissance_workflow: Execute AI-driven reconnaissance workflow with inte • ai_vulnerability_assessment: Perform AI-driven vulnerability assessment with int • bugbounty_reconnaissance_workflow: Create comprehensive reconnaissance workflow for bu • bugbounty_vulnerability_hunting: Create vulnerability hunting workflow prioritized b • bugbounty_business_logic_testing: Create business logic testing workflow for advanced • bugbounty_osint_gathering: Create OSINT (Open Source Intelligence) gathering w • bugbounty_file_upload_testing: Create file upload vulnerability testing workflow w • bugbounty_comprehensive_assessment: Create comprehensive bug bounty assessment combinin • bugbounty_authentication_bypass_testing: Create authentication bypass testing workflow for b • http_framework_test: Enhanced HTTP testing framework (Burp Suite alterna • browser_agent_inspect: AI-powered browser agent for comprehensive web appl • http_set_rules: Set match/replace rules used to rewrite parts of URL/query/h • http_set_scope: Define in-scope host (and optionally subdomains) so out-of-s • http_repeater: Send a crafted request (Burp Repeater equivalent). request_s • http_intruder: Simple Intruder (sniper) fuzzing. Iterates payloads over eac • burpsuite_alternative_scan: Comprehensive Burp Suite alternative combining HTTP • error_handling_statistics: Get intelligent error handling system statistics an • test_error_recovery: Test the intelligent error recovery system with sim 2026-04-13 15:23:09 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [hexstrike-ai] 注册完成 工具数=150: ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:23:09 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 150 个 ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:23:11 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 154 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:hexstrike-ai ] nmap_scan 🟢 [remote:hexstrike-ai ] gobuster_scan 🟢 [remote:hexstrike-ai ] nuclei_scan 🟢 [remote:hexstrike-ai ] prowler_scan 🟢 [remote:hexstrike-ai ] trivy_scan 🟢 [remote:hexstrike-ai ] scout_suite_assessment 🟢 [remote:hexstrike-ai ] cloudmapper_analysis 🟢 [remote:hexstrike-ai ] pacu_exploitation 🟢 [remote:hexstrike-ai ] kube_hunter_scan 🟢 [remote:hexstrike-ai ] kube_bench_cis 🟢 [remote:hexstrike-ai ] docker_bench_security_scan 🟢 [remote:hexstrike-ai ] clair_vulnerability_scan 🟢 [remote:hexstrike-ai ] falco_runtime_monitoring 🟢 [remote:hexstrike-ai ] checkov_iac_scan 🟢 [remote:hexstrike-ai ] terrascan_iac_scan 🟢 [remote:hexstrike-ai ] create_file 🟢 [remote:hexstrike-ai ] modify_file 🟢 [remote:hexstrike-ai ] delete_file 🟢 [remote:hexstrike-ai ] list_files 🟢 [remote:hexstrike-ai ] generate_payload 🟢 [remote:hexstrike-ai ] install_python_package 🟢 [remote:hexstrike-ai ] execute_python_script 🟢 [remote:hexstrike-ai ] dirb_scan 🟢 [remote:hexstrike-ai ] nikto_scan 🟢 [remote:hexstrike-ai ] sqlmap_scan 🟢 [remote:hexstrike-ai ] metasploit_run 🟢 [remote:hexstrike-ai ] hydra_attack 🟢 [remote:hexstrike-ai ] john_crack 🟢 [remote:hexstrike-ai ] wpscan_analyze 🟢 [remote:hexstrike-ai ] enum4linux_scan 🟢 [remote:hexstrike-ai ] ffuf_scan 🟢 [remote:hexstrike-ai ] netexec_scan 🟢 [remote:hexstrike-ai ] amass_scan 🟢 [remote:hexstrike-ai ] hashcat_crack 🟢 [remote:hexstrike-ai ] subfinder_scan 🟢 [remote:hexstrike-ai ] smbmap_scan 🟢 [remote:hexstrike-ai ] rustscan_fast_scan 🟢 [remote:hexstrike-ai ] masscan_high_speed 🟢 [remote:hexstrike-ai ] nmap_advanced_scan 🟢 [remote:hexstrike-ai ] autorecon_comprehensive 🟢 [remote:hexstrike-ai ] enum4linux_ng_advanced 🟢 [remote:hexstrike-ai ] rpcclient_enumeration 🟢 [remote:hexstrike-ai ] nbtscan_netbios 🟢 [remote:hexstrike-ai ] arp_scan_discovery 🟢 [remote:hexstrike-ai ] responder_credential_harvest 🟢 [remote:hexstrike-ai ] volatility_analyze 🟢 [remote:hexstrike-ai ] msfvenom_generate 🟢 [remote:hexstrike-ai ] gdb_analyze 🟢 [remote:hexstrike-ai ] radare2_analyze 🟢 [remote:hexstrike-ai ] binwalk_analyze 🟢 [remote:hexstrike-ai ] ropgadget_search 🟢 [remote:hexstrike-ai ] checksec_analyze 🟢 [remote:hexstrike-ai ] xxd_hexdump 🟢 [remote:hexstrike-ai ] strings_extract 🟢 [remote:hexstrike-ai ] objdump_analyze 🟢 [remote:hexstrike-ai ] ghidra_analysis 🟢 [remote:hexstrike-ai ] pwntools_exploit 🟢 [remote:hexstrike-ai ] one_gadget_search 🟢 [remote:hexstrike-ai ] libc_database_lookup 🟢 [remote:hexstrike-ai ] gdb_peda_debug 🟢 [remote:hexstrike-ai ] angr_symbolic_execution 🟢 [remote:hexstrike-ai ] ropper_gadget_search 🟢 [remote:hexstrike-ai ] pwninit_setup 🟢 [remote:hexstrike-ai ] feroxbuster_scan 🟢 [remote:hexstrike-ai ] dotdotpwn_scan 🟢 [remote:hexstrike-ai ] xsser_scan 🟢 [remote:hexstrike-ai ] wfuzz_scan 🟢 [remote:hexstrike-ai ] dirsearch_scan 🟢 [remote:hexstrike-ai ] katana_crawl 🟢 [remote:hexstrike-ai ] gau_discovery 🟢 [remote:hexstrike-ai ] waybackurls_discovery 🟢 [remote:hexstrike-ai ] arjun_parameter_discovery 🟢 [remote:hexstrike-ai ] paramspider_mining 🟢 [remote:hexstrike-ai ] x8_parameter_discovery 🟢 [remote:hexstrike-ai ] jaeles_vulnerability_scan 🟢 [remote:hexstrike-ai ] dalfox_xss_scan 🟢 [remote:hexstrike-ai ] httpx_probe 🟢 [remote:hexstrike-ai ] anew_data_processing 🟢 [remote:hexstrike-ai ] qsreplace_parameter_replacement 🟢 [remote:hexstrike-ai ] uro_url_filtering 🟢 [remote:hexstrike-ai ] ai_generate_payload 🟢 [remote:hexstrike-ai ] ai_test_payload 🟢 [remote:hexstrike-ai ] ai_generate_attack_suite 🟢 [remote:hexstrike-ai ] api_fuzzer 🟢 [remote:hexstrike-ai ] graphql_scanner 🟢 [remote:hexstrike-ai ] jwt_analyzer 🟢 [remote:hexstrike-ai ] api_schema_analyzer 🟢 [remote:hexstrike-ai ] comprehensive_api_audit 🟢 [remote:hexstrike-ai ] volatility3_analyze 🟢 [remote:hexstrike-ai ] foremost_carving 🟢 [remote:hexstrike-ai ] steghide_analysis 🟢 [remote:hexstrike-ai ] exiftool_extract 🟢 [remote:hexstrike-ai ] hashpump_attack 🟢 [remote:hexstrike-ai ] hakrawler_crawl 🟢 [remote:hexstrike-ai ] paramspider_discovery 🟢 [remote:hexstrike-ai ] burpsuite_scan 🟢 [remote:hexstrike-ai ] zap_scan 🟢 [remote:hexstrike-ai ] arjun_scan 🟢 [remote:hexstrike-ai ] wafw00f_scan 🟢 [remote:hexstrike-ai ] fierce_scan 🟢 [remote:hexstrike-ai ] dnsenum_scan 🟢 [remote:hexstrike-ai ] autorecon_scan 🟢 [remote:hexstrike-ai ] server_health 🟢 [remote:hexstrike-ai ] get_cache_stats 🟢 [remote:hexstrike-ai ] clear_cache 🟢 [remote:hexstrike-ai ] get_telemetry 🟢 [remote:hexstrike-ai ] list_active_processes 🟢 [remote:hexstrike-ai ] get_process_status 🟢 [remote:hexstrike-ai ] terminate_process 🟢 [remote:hexstrike-ai ] pause_process 🟢 [remote:hexstrike-ai ] resume_process 🟢 [remote:hexstrike-ai ] get_process_dashboard 🟢 [remote:hexstrike-ai ] execute_command 🟢 [remote:hexstrike-ai ] monitor_cve_feeds 🟢 [remote:hexstrike-ai ] generate_exploit_from_cve 🟢 [remote:hexstrike-ai ] discover_attack_chains 🟢 [remote:hexstrike-ai ] research_zero_day_opportunities 🟢 [remote:hexstrike-ai ] correlate_threat_intelligence 🟢 [remote:hexstrike-ai ] advanced_payload_generation 🟢 [remote:hexstrike-ai ] vulnerability_intelligence_dashboard 🟢 [remote:hexstrike-ai ] threat_hunting_assistant 🟢 [remote:hexstrike-ai ] get_live_dashboard 🟢 [remote:hexstrike-ai ] create_vulnerability_report 🟢 [remote:hexstrike-ai ] format_tool_output_visual 🟢 [remote:hexstrike-ai ] create_scan_summary 🟢 [remote:hexstrike-ai ] display_system_metrics 🟢 [remote:hexstrike-ai ] analyze_target_intelligence 🟢 [remote:hexstrike-ai ] select_optimal_tools_ai 🟢 [remote:hexstrike-ai ] optimize_tool_parameters_ai 🟢 [remote:hexstrike-ai ] create_attack_chain_ai 🟢 [remote:hexstrike-ai ] intelligent_smart_scan 🟢 [remote:hexstrike-ai ] detect_technologies_ai 🟢 [remote:hexstrike-ai ] ai_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] ai_vulnerability_assessment 🟢 [remote:hexstrike-ai ] bugbounty_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] bugbounty_vulnerability_hunting 🟢 [remote:hexstrike-ai ] bugbounty_business_logic_testing 🟢 [remote:hexstrike-ai ] bugbounty_osint_gathering 🟢 [remote:hexstrike-ai ] bugbounty_file_upload_testing 🟢 [remote:hexstrike-ai ] bugbounty_comprehensive_assessment 🟢 [remote:hexstrike-ai ] bugbounty_authentication_bypass_testing 🟢 [remote:hexstrike-ai ] http_framework_test 🟢 [remote:hexstrike-ai ] browser_agent_inspect 🟢 [remote:hexstrike-ai ] http_set_rules 🟢 [remote:hexstrike-ai ] http_set_scope 🟢 [remote:hexstrike-ai ] http_repeater 🟢 [remote:hexstrike-ai ] http_intruder 🟢 [remote:hexstrike-ai ] burpsuite_alternative_scan 🟢 [remote:hexstrike-ai ] error_handling_statistics 🟢 [remote:hexstrike-ai ] test_error_recovery 2026-04-13 15:23:38 [INFO ] agent.Agent │ 💬 用户输入: 扫描主机192.168.0.1的80端口 2026-04-13 15:23:38 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-04-13 15:23:52 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:23:52 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 15:23:52 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 15:25:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:25:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:25:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:25:13 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:25:13 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:25:13 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:25:13 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:25:22 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=41926 2026-04-13 15:25:29 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-13 15:25:30 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:25:30 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:25:30 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=41937 2026-04-13 15:25:35 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-13 15:25:37 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:25:37 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:25:37 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=41944 2026-04-13 15:26:07 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:26:07 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-13 15:26:07 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 15:26:07 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-13 15:26:13 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 4 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 2026-04-13 15:26:18 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 15:26:26 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:26:26 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:26:26 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:26:26 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:26:26 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:26:26 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:26:26 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:26:26 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=42040 2026-04-13 15:26:53 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-13 15:26:54 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:26:54 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8888 2026-04-13 15:26:54 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=42075 2026-04-13 15:27:36 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:27:36 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:27:36 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:27:36 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:27:36 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:27:36 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:27:36 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 15:27:36 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=42136 2026-04-13 15:27:43 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-13 15:27:44 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:27:44 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 15:27:44 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=42147 2026-04-13 15:27:56 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-13 15:27:58 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:27:58 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 15:27:58 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=42165 2026-04-13 15:28:02 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:28:02 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-13 15:28:02 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 15:28:02 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-13 15:28:05 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 4 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 2026-04-13 15:28:16 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 15:28:44 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:28:44 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:28:44 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:28:44 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:28:44 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:28:44 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:28:44 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 15:29:14 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:29:14 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:29:14 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:29:14 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:29:14 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:29:14 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:29:14 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 15:29:14 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=42274 2026-04-13 15:29:44 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [hexstrike-ai] 服务端: hexstrike-ai-mcp v1.26.0 协议版本: 2024-11-05 2026-04-13 15:29:44 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [hexstrike-ai] 连接成功 2026-04-13 15:29:44 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [hexstrike-ai] 工具列表: • nmap_scan: Execute an enhanced Nmap scan against a target with • gobuster_scan: Execute Gobuster to find directories, DNS subdomain • nuclei_scan: Execute Nuclei vulnerability scanner with enhanced • prowler_scan: Execute Prowler for comprehensive cloud security as • trivy_scan: Execute Trivy for container and filesystem vulnerab • scout_suite_assessment: Execute Scout Suite for multi-cloud security assess • cloudmapper_analysis: Execute CloudMapper for AWS network visualization a • pacu_exploitation: Execute Pacu for AWS exploitation framework. • kube_hunter_scan: Execute kube-hunter for Kubernetes penetration test • kube_bench_cis: Execute kube-bench for CIS Kubernetes benchmark che • docker_bench_security_scan: Execute Docker Bench for Security for Docker securi • clair_vulnerability_scan: Execute Clair for container vulnerability analysis. • falco_runtime_monitoring: Execute Falco for runtime security monitoring. • checkov_iac_scan: Execute Checkov for infrastructure as code security • terrascan_iac_scan: Execute Terrascan for infrastructure as code securi • create_file: Create a file with specified content on the HexStri • modify_file: Modify an existing file on the HexStrike server. • delete_file: Delete a file or directory on the HexStrike server. • list_files: List files in a directory on the HexStrike server. • generate_payload: Generate large payloads for testing and exploitatio • install_python_package: Install a Python package in a virtual environment o • execute_python_script: Execute a Python script in a virtual environment on • dirb_scan: Execute Dirb for directory brute forcing with enhan • nikto_scan: Execute Nikto web vulnerability scanner with enhanc • sqlmap_scan: Execute SQLMap for SQL injection testing with enhan • metasploit_run: Execute a Metasploit module with enhanced logging. • hydra_attack: Execute Hydra for password brute forcing with enhan • john_crack: Execute John the Ripper for password cracking with • wpscan_analyze: Execute WPScan for WordPress vulnerability scanning • enum4linux_scan: Execute Enum4linux for SMB enumeration with enhance • ffuf_scan: Execute FFuf for web fuzzing with enhanced logging. • netexec_scan: Execute NetExec (formerly CrackMapExec) for network • amass_scan: Execute Amass for subdomain enumeration with enhanc • hashcat_crack: Execute Hashcat for advanced password cracking with • subfinder_scan: Execute Subfinder for passive subdomain enumeration • smbmap_scan: Execute SMBMap for SMB share enumeration with enhan • rustscan_fast_scan: Execute Rustscan for ultra-fast port scanning with • masscan_high_speed: Execute Masscan for high-speed Internet-scale port • nmap_advanced_scan: Execute advanced Nmap scans with custom NSE scripts • autorecon_comprehensive: Execute AutoRecon for comprehensive automated recon • enum4linux_ng_advanced: Execute Enum4linux-ng for advanced SMB enumeration • rpcclient_enumeration: Execute rpcclient for RPC enumeration with enhanced • nbtscan_netbios: Execute nbtscan for NetBIOS name scanning with enha • arp_scan_discovery: Execute arp-scan for network discovery with enhance • responder_credential_harvest: Execute Responder for credential harvesting with en • volatility_analyze: Execute Volatility for memory forensics analysis wi • msfvenom_generate: Execute MSFVenom for payload generation with enhanc • gdb_analyze: Execute GDB for binary analysis and debugging with • radare2_analyze: Execute Radare2 for binary analysis and reverse eng • binwalk_analyze: Execute Binwalk for firmware and file analysis with • ropgadget_search: Search for ROP gadgets in a binary using ROPgadget • checksec_analyze: Check security features of a binary with enhanced l • xxd_hexdump: Create a hex dump of a file using xxd with enhanced • strings_extract: Extract strings from a binary file with enhanced lo • objdump_analyze: Analyze a binary using objdump with enhanced loggin • ghidra_analysis: Execute Ghidra for advanced binary analysis and rev • pwntools_exploit: Execute Pwntools for exploit development and automa • one_gadget_search: Execute one_gadget to find one-shot RCE gadgets in • libc_database_lookup: Execute libc-database for libc identification and o • gdb_peda_debug: Execute GDB with PEDA for enhanced debugging and ex • angr_symbolic_execution: Execute angr for symbolic execution and binary anal • ropper_gadget_search: Execute ropper for advanced ROP/JOP gadget searchin • pwninit_setup: Execute pwninit for CTF binary exploitation setup. • feroxbuster_scan: Execute Feroxbuster for recursive content discovery • dotdotpwn_scan: Execute DotDotPwn for directory traversal testing w • xsser_scan: Execute XSSer for XSS vulnerability testing with en • wfuzz_scan: Execute Wfuzz for web application fuzzing with enha • dirsearch_scan: Execute Dirsearch for advanced directory and file d • katana_crawl: Execute Katana for next-generation crawling and spi • gau_discovery: Execute Gau (Get All URLs) for URL discovery from m • waybackurls_discovery: Execute Waybackurls for historical URL discovery wi • arjun_parameter_discovery: Execute Arjun for HTTP parameter discovery with enh • paramspider_mining: Execute ParamSpider for parameter mining from web a • x8_parameter_discovery: Execute x8 for hidden parameter discovery with enha • jaeles_vulnerability_scan: Execute Jaeles for advanced vulnerability scanning • dalfox_xss_scan: Execute Dalfox for advanced XSS vulnerability scann • httpx_probe: Execute httpx for fast HTTP probing and technology • anew_data_processing: Execute anew for appending new lines to files (usef • qsreplace_parameter_replacement: Execute qsreplace for query string parameter replac • uro_url_filtering: Execute uro for filtering out similar URLs. • ai_generate_payload: Generate AI-powered contextual payloads for securit • ai_test_payload: Test generated payload against target with AI analy • ai_generate_attack_suite: Generate comprehensive attack suite with multiple p • api_fuzzer: Advanced API endpoint fuzzing with intelligent para • graphql_scanner: Advanced GraphQL security scanning and introspectio • jwt_analyzer: Advanced JWT token analysis and vulnerability testi • api_schema_analyzer: Analyze API schemas and identify potential security • comprehensive_api_audit: Comprehensive API security audit combining multiple • volatility3_analyze: Execute Volatility3 for advanced memory forensics w • foremost_carving: Execute Foremost for file carving with enhanced log • steghide_analysis: Execute Steghide for steganography analysis with en • exiftool_extract: Execute ExifTool for metadata extraction with enhan • hashpump_attack: Execute HashPump for hash length extension attacks • hakrawler_crawl: Execute Hakrawler for web endpoint discovery with e • paramspider_discovery: Execute ParamSpider for parameter discovery with en • burpsuite_scan: Execute Burp Suite with enhanced logging. • zap_scan: Execute OWASP ZAP with enhanced logging. A • arjun_scan: Execute Arjun for parameter discovery with enhanced • wafw00f_scan: Execute wafw00f to identify and fingerprint WAF pro • fierce_scan: Execute fierce for DNS reconnaissance with enhanced • dnsenum_scan: Execute dnsenum for DNS enumeration with enhanced l • autorecon_scan: Execute AutoRecon for comprehensive target enumerat • server_health: Check the health status of the HexStrike AI server. • get_cache_stats: Get cache statistics from the HexStrike AI server. • clear_cache: Clear the cache on the HexStrike AI server. • get_telemetry: Get system telemetry from the HexStrike AI server. • list_active_processes: List all active processes on the HexStrike AI serve • get_process_status: Get the status of a specific process. Args • terminate_process: Terminate a specific running process. Args • pause_process: Pause a specific running process. Args: • resume_process: Resume a paused process. Args: • get_process_dashboard: Get enhanced process dashboard with visual status i • execute_command: Execute an arbitrary command on the HexStrike AI se • monitor_cve_feeds: Monitor CVE databases for new vulnerabilities with • generate_exploit_from_cve: Generate working exploits from CVE information usin • discover_attack_chains: Discover multi-stage attack chains for target softw • research_zero_day_opportunities: Automated zero-day vulnerability research using AI • correlate_threat_intelligence: Correlate threat intelligence across multiple sourc • advanced_payload_generation: Generate advanced payloads with AI-powered evasion • vulnerability_intelligence_dashboard: Get a comprehensive vulnerability intelligence dash • threat_hunting_assistant: AI-powered threat hunting assistant with vulnerabil • get_live_dashboard: Get a beautiful live dashboard showing all active p • create_vulnerability_report: Create a beautiful vulnerability report with severi • format_tool_output_visual: Format tool output with beautiful visual styling, s • create_scan_summary: Create a comprehensive scan summary report with bea • display_system_metrics: Display current system metrics and performance indi • analyze_target_intelligence: Analyze target using AI-powered intelligence to cre • select_optimal_tools_ai: Use AI to select optimal security tools based on ta • optimize_tool_parameters_ai: Use AI to optimize tool parameters based on target • create_attack_chain_ai: Create an intelligent attack chain using AI-driven • intelligent_smart_scan: Execute an intelligent scan using AI-driven tool se • detect_technologies_ai: Use AI to detect technologies and provide technolog • ai_reconnaissance_workflow: Execute AI-driven reconnaissance workflow with inte • ai_vulnerability_assessment: Perform AI-driven vulnerability assessment with int • bugbounty_reconnaissance_workflow: Create comprehensive reconnaissance workflow for bu • bugbounty_vulnerability_hunting: Create vulnerability hunting workflow prioritized b • bugbounty_business_logic_testing: Create business logic testing workflow for advanced • bugbounty_osint_gathering: Create OSINT (Open Source Intelligence) gathering w • bugbounty_file_upload_testing: Create file upload vulnerability testing workflow w • bugbounty_comprehensive_assessment: Create comprehensive bug bounty assessment combinin • bugbounty_authentication_bypass_testing: Create authentication bypass testing workflow for b • http_framework_test: Enhanced HTTP testing framework (Burp Suite alterna • browser_agent_inspect: AI-powered browser agent for comprehensive web appl • http_set_rules: Set match/replace rules used to rewrite parts of URL/query/h • http_set_scope: Define in-scope host (and optionally subdomains) so out-of-s • http_repeater: Send a crafted request (Burp Repeater equivalent). request_s • http_intruder: Simple Intruder (sniper) fuzzing. Iterates payloads over eac • burpsuite_alternative_scan: Comprehensive Burp Suite alternative combining HTTP • error_handling_statistics: Get intelligent error handling system statistics an • test_error_recovery: Test the intelligent error recovery system with sim 2026-04-13 15:29:44 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [hexstrike-ai] 注册完成 工具数=150: ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:29:44 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 150 个 ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:29:47 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 154 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:hexstrike-ai ] nmap_scan 🟢 [remote:hexstrike-ai ] gobuster_scan 🟢 [remote:hexstrike-ai ] nuclei_scan 🟢 [remote:hexstrike-ai ] prowler_scan 🟢 [remote:hexstrike-ai ] trivy_scan 🟢 [remote:hexstrike-ai ] scout_suite_assessment 🟢 [remote:hexstrike-ai ] cloudmapper_analysis 🟢 [remote:hexstrike-ai ] pacu_exploitation 🟢 [remote:hexstrike-ai ] kube_hunter_scan 🟢 [remote:hexstrike-ai ] kube_bench_cis 🟢 [remote:hexstrike-ai ] docker_bench_security_scan 🟢 [remote:hexstrike-ai ] clair_vulnerability_scan 🟢 [remote:hexstrike-ai ] falco_runtime_monitoring 🟢 [remote:hexstrike-ai ] checkov_iac_scan 🟢 [remote:hexstrike-ai ] terrascan_iac_scan 🟢 [remote:hexstrike-ai ] create_file 🟢 [remote:hexstrike-ai ] modify_file 🟢 [remote:hexstrike-ai ] delete_file 🟢 [remote:hexstrike-ai ] list_files 🟢 [remote:hexstrike-ai ] generate_payload 🟢 [remote:hexstrike-ai ] install_python_package 🟢 [remote:hexstrike-ai ] execute_python_script 🟢 [remote:hexstrike-ai ] dirb_scan 🟢 [remote:hexstrike-ai ] nikto_scan 🟢 [remote:hexstrike-ai ] sqlmap_scan 🟢 [remote:hexstrike-ai ] metasploit_run 🟢 [remote:hexstrike-ai ] hydra_attack 🟢 [remote:hexstrike-ai ] john_crack 🟢 [remote:hexstrike-ai ] wpscan_analyze 🟢 [remote:hexstrike-ai ] enum4linux_scan 🟢 [remote:hexstrike-ai ] ffuf_scan 🟢 [remote:hexstrike-ai ] netexec_scan 🟢 [remote:hexstrike-ai ] amass_scan 🟢 [remote:hexstrike-ai ] hashcat_crack 🟢 [remote:hexstrike-ai ] subfinder_scan 🟢 [remote:hexstrike-ai ] smbmap_scan 🟢 [remote:hexstrike-ai ] rustscan_fast_scan 🟢 [remote:hexstrike-ai ] masscan_high_speed 🟢 [remote:hexstrike-ai ] nmap_advanced_scan 🟢 [remote:hexstrike-ai ] autorecon_comprehensive 🟢 [remote:hexstrike-ai ] enum4linux_ng_advanced 🟢 [remote:hexstrike-ai ] rpcclient_enumeration 🟢 [remote:hexstrike-ai ] nbtscan_netbios 🟢 [remote:hexstrike-ai ] arp_scan_discovery 🟢 [remote:hexstrike-ai ] responder_credential_harvest 🟢 [remote:hexstrike-ai ] volatility_analyze 🟢 [remote:hexstrike-ai ] msfvenom_generate 🟢 [remote:hexstrike-ai ] gdb_analyze 🟢 [remote:hexstrike-ai ] radare2_analyze 🟢 [remote:hexstrike-ai ] binwalk_analyze 🟢 [remote:hexstrike-ai ] ropgadget_search 🟢 [remote:hexstrike-ai ] checksec_analyze 🟢 [remote:hexstrike-ai ] xxd_hexdump 🟢 [remote:hexstrike-ai ] strings_extract 🟢 [remote:hexstrike-ai ] objdump_analyze 🟢 [remote:hexstrike-ai ] ghidra_analysis 🟢 [remote:hexstrike-ai ] pwntools_exploit 🟢 [remote:hexstrike-ai ] one_gadget_search 🟢 [remote:hexstrike-ai ] libc_database_lookup 🟢 [remote:hexstrike-ai ] gdb_peda_debug 🟢 [remote:hexstrike-ai ] angr_symbolic_execution 🟢 [remote:hexstrike-ai ] ropper_gadget_search 🟢 [remote:hexstrike-ai ] pwninit_setup 🟢 [remote:hexstrike-ai ] feroxbuster_scan 🟢 [remote:hexstrike-ai ] dotdotpwn_scan 🟢 [remote:hexstrike-ai ] xsser_scan 🟢 [remote:hexstrike-ai ] wfuzz_scan 🟢 [remote:hexstrike-ai ] dirsearch_scan 🟢 [remote:hexstrike-ai ] katana_crawl 🟢 [remote:hexstrike-ai ] gau_discovery 🟢 [remote:hexstrike-ai ] waybackurls_discovery 🟢 [remote:hexstrike-ai ] arjun_parameter_discovery 🟢 [remote:hexstrike-ai ] paramspider_mining 🟢 [remote:hexstrike-ai ] x8_parameter_discovery 🟢 [remote:hexstrike-ai ] jaeles_vulnerability_scan 🟢 [remote:hexstrike-ai ] dalfox_xss_scan 🟢 [remote:hexstrike-ai ] httpx_probe 🟢 [remote:hexstrike-ai ] anew_data_processing 🟢 [remote:hexstrike-ai ] qsreplace_parameter_replacement 🟢 [remote:hexstrike-ai ] uro_url_filtering 🟢 [remote:hexstrike-ai ] ai_generate_payload 🟢 [remote:hexstrike-ai ] ai_test_payload 🟢 [remote:hexstrike-ai ] ai_generate_attack_suite 🟢 [remote:hexstrike-ai ] api_fuzzer 🟢 [remote:hexstrike-ai ] graphql_scanner 🟢 [remote:hexstrike-ai ] jwt_analyzer 🟢 [remote:hexstrike-ai ] api_schema_analyzer 🟢 [remote:hexstrike-ai ] comprehensive_api_audit 🟢 [remote:hexstrike-ai ] volatility3_analyze 🟢 [remote:hexstrike-ai ] foremost_carving 🟢 [remote:hexstrike-ai ] steghide_analysis 🟢 [remote:hexstrike-ai ] exiftool_extract 🟢 [remote:hexstrike-ai ] hashpump_attack 🟢 [remote:hexstrike-ai ] hakrawler_crawl 🟢 [remote:hexstrike-ai ] paramspider_discovery 🟢 [remote:hexstrike-ai ] burpsuite_scan 🟢 [remote:hexstrike-ai ] zap_scan 🟢 [remote:hexstrike-ai ] arjun_scan 🟢 [remote:hexstrike-ai ] wafw00f_scan 🟢 [remote:hexstrike-ai ] fierce_scan 🟢 [remote:hexstrike-ai ] dnsenum_scan 🟢 [remote:hexstrike-ai ] autorecon_scan 🟢 [remote:hexstrike-ai ] server_health 🟢 [remote:hexstrike-ai ] get_cache_stats 🟢 [remote:hexstrike-ai ] clear_cache 🟢 [remote:hexstrike-ai ] get_telemetry 🟢 [remote:hexstrike-ai ] list_active_processes 🟢 [remote:hexstrike-ai ] get_process_status 🟢 [remote:hexstrike-ai ] terminate_process 🟢 [remote:hexstrike-ai ] pause_process 🟢 [remote:hexstrike-ai ] resume_process 🟢 [remote:hexstrike-ai ] get_process_dashboard 🟢 [remote:hexstrike-ai ] execute_command 🟢 [remote:hexstrike-ai ] monitor_cve_feeds 🟢 [remote:hexstrike-ai ] generate_exploit_from_cve 🟢 [remote:hexstrike-ai ] discover_attack_chains 🟢 [remote:hexstrike-ai ] research_zero_day_opportunities 🟢 [remote:hexstrike-ai ] correlate_threat_intelligence 🟢 [remote:hexstrike-ai ] advanced_payload_generation 🟢 [remote:hexstrike-ai ] vulnerability_intelligence_dashboard 🟢 [remote:hexstrike-ai ] threat_hunting_assistant 🟢 [remote:hexstrike-ai ] get_live_dashboard 🟢 [remote:hexstrike-ai ] create_vulnerability_report 🟢 [remote:hexstrike-ai ] format_tool_output_visual 🟢 [remote:hexstrike-ai ] create_scan_summary 🟢 [remote:hexstrike-ai ] display_system_metrics 🟢 [remote:hexstrike-ai ] analyze_target_intelligence 🟢 [remote:hexstrike-ai ] select_optimal_tools_ai 🟢 [remote:hexstrike-ai ] optimize_tool_parameters_ai 🟢 [remote:hexstrike-ai ] create_attack_chain_ai 🟢 [remote:hexstrike-ai ] intelligent_smart_scan 🟢 [remote:hexstrike-ai ] detect_technologies_ai 🟢 [remote:hexstrike-ai ] ai_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] ai_vulnerability_assessment 🟢 [remote:hexstrike-ai ] bugbounty_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] bugbounty_vulnerability_hunting 🟢 [remote:hexstrike-ai ] bugbounty_business_logic_testing 🟢 [remote:hexstrike-ai ] bugbounty_osint_gathering 🟢 [remote:hexstrike-ai ] bugbounty_file_upload_testing 🟢 [remote:hexstrike-ai ] bugbounty_comprehensive_assessment 🟢 [remote:hexstrike-ai ] bugbounty_authentication_bypass_testing 🟢 [remote:hexstrike-ai ] http_framework_test 🟢 [remote:hexstrike-ai ] browser_agent_inspect 🟢 [remote:hexstrike-ai ] http_set_rules 🟢 [remote:hexstrike-ai ] http_set_scope 🟢 [remote:hexstrike-ai ] http_repeater 🟢 [remote:hexstrike-ai ] http_intruder 🟢 [remote:hexstrike-ai ] burpsuite_alternative_scan 🟢 [remote:hexstrike-ai ] error_handling_statistics 🟢 [remote:hexstrike-ai ] test_error_recovery 2026-04-13 15:31:08 [INFO ] agent.Agent │ 💬 用户输入: 扫描主机192.168.0.1，端口80 2026-04-13 15:31:08 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-04-13 15:31:25 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:31:25 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 15:31:25 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 15:32:12 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:32:12 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:32:12 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:32:12 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:32:12 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:32:12 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:32:12 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 15:32:12 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=43004 2026-04-13 15:32:23 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [hexstrike-ai] 服务端: hexstrike-ai-mcp v1.26.0 协议版本: 2024-11-05 2026-04-13 15:32:23 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [hexstrike-ai] 连接成功 2026-04-13 15:32:23 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [hexstrike-ai] 工具列表: • nmap_scan: Execute an enhanced Nmap scan against a target with • gobuster_scan: Execute Gobuster to find directories, DNS subdomain • nuclei_scan: Execute Nuclei vulnerability scanner with enhanced • prowler_scan: Execute Prowler for comprehensive cloud security as • trivy_scan: Execute Trivy for container and filesystem vulnerab • scout_suite_assessment: Execute Scout Suite for multi-cloud security assess • cloudmapper_analysis: Execute CloudMapper for AWS network visualization a • pacu_exploitation: Execute Pacu for AWS exploitation framework. • kube_hunter_scan: Execute kube-hunter for Kubernetes penetration test • kube_bench_cis: Execute kube-bench for CIS Kubernetes benchmark che • docker_bench_security_scan: Execute Docker Bench for Security for Docker securi • clair_vulnerability_scan: Execute Clair for container vulnerability analysis. • falco_runtime_monitoring: Execute Falco for runtime security monitoring. • checkov_iac_scan: Execute Checkov for infrastructure as code security • terrascan_iac_scan: Execute Terrascan for infrastructure as code securi • create_file: Create a file with specified content on the HexStri • modify_file: Modify an existing file on the HexStrike server. • delete_file: Delete a file or directory on the HexStrike server. • list_files: List files in a directory on the HexStrike server. • generate_payload: Generate large payloads for testing and exploitatio • install_python_package: Install a Python package in a virtual environment o • execute_python_script: Execute a Python script in a virtual environment on • dirb_scan: Execute Dirb for directory brute forcing with enhan • nikto_scan: Execute Nikto web vulnerability scanner with enhanc • sqlmap_scan: Execute SQLMap for SQL injection testing with enhan • metasploit_run: Execute a Metasploit module with enhanced logging. • hydra_attack: Execute Hydra for password brute forcing with enhan • john_crack: Execute John the Ripper for password cracking with • wpscan_analyze: Execute WPScan for WordPress vulnerability scanning • enum4linux_scan: Execute Enum4linux for SMB enumeration with enhance • ffuf_scan: Execute FFuf for web fuzzing with enhanced logging. • netexec_scan: Execute NetExec (formerly CrackMapExec) for network • amass_scan: Execute Amass for subdomain enumeration with enhanc • hashcat_crack: Execute Hashcat for advanced password cracking with • subfinder_scan: Execute Subfinder for passive subdomain enumeration • smbmap_scan: Execute SMBMap for SMB share enumeration with enhan • rustscan_fast_scan: Execute Rustscan for ultra-fast port scanning with • masscan_high_speed: Execute Masscan for high-speed Internet-scale port • nmap_advanced_scan: Execute advanced Nmap scans with custom NSE scripts • autorecon_comprehensive: Execute AutoRecon for comprehensive automated recon • enum4linux_ng_advanced: Execute Enum4linux-ng for advanced SMB enumeration • rpcclient_enumeration: Execute rpcclient for RPC enumeration with enhanced • nbtscan_netbios: Execute nbtscan for NetBIOS name scanning with enha • arp_scan_discovery: Execute arp-scan for network discovery with enhance • responder_credential_harvest: Execute Responder for credential harvesting with en • volatility_analyze: Execute Volatility for memory forensics analysis wi • msfvenom_generate: Execute MSFVenom for payload generation with enhanc • gdb_analyze: Execute GDB for binary analysis and debugging with • radare2_analyze: Execute Radare2 for binary analysis and reverse eng • binwalk_analyze: Execute Binwalk for firmware and file analysis with • ropgadget_search: Search for ROP gadgets in a binary using ROPgadget • checksec_analyze: Check security features of a binary with enhanced l • xxd_hexdump: Create a hex dump of a file using xxd with enhanced • strings_extract: Extract strings from a binary file with enhanced lo • objdump_analyze: Analyze a binary using objdump with enhanced loggin • ghidra_analysis: Execute Ghidra for advanced binary analysis and rev • pwntools_exploit: Execute Pwntools for exploit development and automa • one_gadget_search: Execute one_gadget to find one-shot RCE gadgets in • libc_database_lookup: Execute libc-database for libc identification and o • gdb_peda_debug: Execute GDB with PEDA for enhanced debugging and ex • angr_symbolic_execution: Execute angr for symbolic execution and binary anal • ropper_gadget_search: Execute ropper for advanced ROP/JOP gadget searchin • pwninit_setup: Execute pwninit for CTF binary exploitation setup. • feroxbuster_scan: Execute Feroxbuster for recursive content discovery • dotdotpwn_scan: Execute DotDotPwn for directory traversal testing w • xsser_scan: Execute XSSer for XSS vulnerability testing with en • wfuzz_scan: Execute Wfuzz for web application fuzzing with enha • dirsearch_scan: Execute Dirsearch for advanced directory and file d • katana_crawl: Execute Katana for next-generation crawling and spi • gau_discovery: Execute Gau (Get All URLs) for URL discovery from m • waybackurls_discovery: Execute Waybackurls for historical URL discovery wi • arjun_parameter_discovery: Execute Arjun for HTTP parameter discovery with enh • paramspider_mining: Execute ParamSpider for parameter mining from web a • x8_parameter_discovery: Execute x8 for hidden parameter discovery with enha • jaeles_vulnerability_scan: Execute Jaeles for advanced vulnerability scanning • dalfox_xss_scan: Execute Dalfox for advanced XSS vulnerability scann • httpx_probe: Execute httpx for fast HTTP probing and technology • anew_data_processing: Execute anew for appending new lines to files (usef • qsreplace_parameter_replacement: Execute qsreplace for query string parameter replac • uro_url_filtering: Execute uro for filtering out similar URLs. • ai_generate_payload: Generate AI-powered contextual payloads for securit • ai_test_payload: Test generated payload against target with AI analy • ai_generate_attack_suite: Generate comprehensive attack suite with multiple p • api_fuzzer: Advanced API endpoint fuzzing with intelligent para • graphql_scanner: Advanced GraphQL security scanning and introspectio • jwt_analyzer: Advanced JWT token analysis and vulnerability testi • api_schema_analyzer: Analyze API schemas and identify potential security • comprehensive_api_audit: Comprehensive API security audit combining multiple • volatility3_analyze: Execute Volatility3 for advanced memory forensics w • foremost_carving: Execute Foremost for file carving with enhanced log • steghide_analysis: Execute Steghide for steganography analysis with en • exiftool_extract: Execute ExifTool for metadata extraction with enhan • hashpump_attack: Execute HashPump for hash length extension attacks • hakrawler_crawl: Execute Hakrawler for web endpoint discovery with e • paramspider_discovery: Execute ParamSpider for parameter discovery with en • burpsuite_scan: Execute Burp Suite with enhanced logging. • zap_scan: Execute OWASP ZAP with enhanced logging. A • arjun_scan: Execute Arjun for parameter discovery with enhanced • wafw00f_scan: Execute wafw00f to identify and fingerprint WAF pro • fierce_scan: Execute fierce for DNS reconnaissance with enhanced • dnsenum_scan: Execute dnsenum for DNS enumeration with enhanced l • autorecon_scan: Execute AutoRecon for comprehensive target enumerat • server_health: Check the health status of the HexStrike AI server. • get_cache_stats: Get cache statistics from the HexStrike AI server. • clear_cache: Clear the cache on the HexStrike AI server. • get_telemetry: Get system telemetry from the HexStrike AI server. • list_active_processes: List all active processes on the HexStrike AI serve • get_process_status: Get the status of a specific process. Args • terminate_process: Terminate a specific running process. Args • pause_process: Pause a specific running process. Args: • resume_process: Resume a paused process. Args: • get_process_dashboard: Get enhanced process dashboard with visual status i • execute_command: Execute an arbitrary command on the HexStrike AI se • monitor_cve_feeds: Monitor CVE databases for new vulnerabilities with • generate_exploit_from_cve: Generate working exploits from CVE information usin • discover_attack_chains: Discover multi-stage attack chains for target softw • research_zero_day_opportunities: Automated zero-day vulnerability research using AI • correlate_threat_intelligence: Correlate threat intelligence across multiple sourc • advanced_payload_generation: Generate advanced payloads with AI-powered evasion • vulnerability_intelligence_dashboard: Get a comprehensive vulnerability intelligence dash • threat_hunting_assistant: AI-powered threat hunting assistant with vulnerabil • get_live_dashboard: Get a beautiful live dashboard showing all active p • create_vulnerability_report: Create a beautiful vulnerability report with severi • format_tool_output_visual: Format tool output with beautiful visual styling, s • create_scan_summary: Create a comprehensive scan summary report with bea • display_system_metrics: Display current system metrics and performance indi • analyze_target_intelligence: Analyze target using AI-powered intelligence to cre • select_optimal_tools_ai: Use AI to select optimal security tools based on ta • optimize_tool_parameters_ai: Use AI to optimize tool parameters based on target • create_attack_chain_ai: Create an intelligent attack chain using AI-driven • intelligent_smart_scan: Execute an intelligent scan using AI-driven tool se • detect_technologies_ai: Use AI to detect technologies and provide technolog • ai_reconnaissance_workflow: Execute AI-driven reconnaissance workflow with inte • ai_vulnerability_assessment: Perform AI-driven vulnerability assessment with int • bugbounty_reconnaissance_workflow: Create comprehensive reconnaissance workflow for bu • bugbounty_vulnerability_hunting: Create vulnerability hunting workflow prioritized b • bugbounty_business_logic_testing: Create business logic testing workflow for advanced • bugbounty_osint_gathering: Create OSINT (Open Source Intelligence) gathering w • bugbounty_file_upload_testing: Create file upload vulnerability testing workflow w • bugbounty_comprehensive_assessment: Create comprehensive bug bounty assessment combinin • bugbounty_authentication_bypass_testing: Create authentication bypass testing workflow for b • http_framework_test: Enhanced HTTP testing framework (Burp Suite alterna • browser_agent_inspect: AI-powered browser agent for comprehensive web appl • http_set_rules: Set match/replace rules used to rewrite parts of URL/query/h • http_set_scope: Define in-scope host (and optionally subdomains) so out-of-s • http_repeater: Send a crafted request (Burp Repeater equivalent). request_s • http_intruder: Simple Intruder (sniper) fuzzing. Iterates payloads over eac • burpsuite_alternative_scan: Comprehensive Burp Suite alternative combining HTTP • error_handling_statistics: Get intelligent error handling system statistics an • test_error_recovery: Test the intelligent error recovery system with sim 2026-04-13 15:32:23 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [hexstrike-ai] 注册完成 工具数=150: ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:32:23 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 150 个 ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:32:25 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 154 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:hexstrike-ai ] nmap_scan 🟢 [remote:hexstrike-ai ] gobuster_scan 🟢 [remote:hexstrike-ai ] nuclei_scan 🟢 [remote:hexstrike-ai ] prowler_scan 🟢 [remote:hexstrike-ai ] trivy_scan 🟢 [remote:hexstrike-ai ] scout_suite_assessment 🟢 [remote:hexstrike-ai ] cloudmapper_analysis 🟢 [remote:hexstrike-ai ] pacu_exploitation 🟢 [remote:hexstrike-ai ] kube_hunter_scan 🟢 [remote:hexstrike-ai ] kube_bench_cis 🟢 [remote:hexstrike-ai ] docker_bench_security_scan 🟢 [remote:hexstrike-ai ] clair_vulnerability_scan 🟢 [remote:hexstrike-ai ] falco_runtime_monitoring 🟢 [remote:hexstrike-ai ] checkov_iac_scan 🟢 [remote:hexstrike-ai ] terrascan_iac_scan 🟢 [remote:hexstrike-ai ] create_file 🟢 [remote:hexstrike-ai ] modify_file 🟢 [remote:hexstrike-ai ] delete_file 🟢 [remote:hexstrike-ai ] list_files 🟢 [remote:hexstrike-ai ] generate_payload 🟢 [remote:hexstrike-ai ] install_python_package 🟢 [remote:hexstrike-ai ] execute_python_script 🟢 [remote:hexstrike-ai ] dirb_scan 🟢 [remote:hexstrike-ai ] nikto_scan 🟢 [remote:hexstrike-ai ] sqlmap_scan 🟢 [remote:hexstrike-ai ] metasploit_run 🟢 [remote:hexstrike-ai ] hydra_attack 🟢 [remote:hexstrike-ai ] john_crack 🟢 [remote:hexstrike-ai ] wpscan_analyze 🟢 [remote:hexstrike-ai ] enum4linux_scan 🟢 [remote:hexstrike-ai ] ffuf_scan 🟢 [remote:hexstrike-ai ] netexec_scan 🟢 [remote:hexstrike-ai ] amass_scan 🟢 [remote:hexstrike-ai ] hashcat_crack 🟢 [remote:hexstrike-ai ] subfinder_scan 🟢 [remote:hexstrike-ai ] smbmap_scan 🟢 [remote:hexstrike-ai ] rustscan_fast_scan 🟢 [remote:hexstrike-ai ] masscan_high_speed 🟢 [remote:hexstrike-ai ] nmap_advanced_scan 🟢 [remote:hexstrike-ai ] autorecon_comprehensive 🟢 [remote:hexstrike-ai ] enum4linux_ng_advanced 🟢 [remote:hexstrike-ai ] rpcclient_enumeration 🟢 [remote:hexstrike-ai ] nbtscan_netbios 🟢 [remote:hexstrike-ai ] arp_scan_discovery 🟢 [remote:hexstrike-ai ] responder_credential_harvest 🟢 [remote:hexstrike-ai ] volatility_analyze 🟢 [remote:hexstrike-ai ] msfvenom_generate 🟢 [remote:hexstrike-ai ] gdb_analyze 🟢 [remote:hexstrike-ai ] radare2_analyze 🟢 [remote:hexstrike-ai ] binwalk_analyze 🟢 [remote:hexstrike-ai ] ropgadget_search 🟢 [remote:hexstrike-ai ] checksec_analyze 🟢 [remote:hexstrike-ai ] xxd_hexdump 🟢 [remote:hexstrike-ai ] strings_extract 🟢 [remote:hexstrike-ai ] objdump_analyze 🟢 [remote:hexstrike-ai ] ghidra_analysis 🟢 [remote:hexstrike-ai ] pwntools_exploit 🟢 [remote:hexstrike-ai ] one_gadget_search 🟢 [remote:hexstrike-ai ] libc_database_lookup 🟢 [remote:hexstrike-ai ] gdb_peda_debug 🟢 [remote:hexstrike-ai ] angr_symbolic_execution 🟢 [remote:hexstrike-ai ] ropper_gadget_search 🟢 [remote:hexstrike-ai ] pwninit_setup 🟢 [remote:hexstrike-ai ] feroxbuster_scan 🟢 [remote:hexstrike-ai ] dotdotpwn_scan 🟢 [remote:hexstrike-ai ] xsser_scan 🟢 [remote:hexstrike-ai ] wfuzz_scan 🟢 [remote:hexstrike-ai ] dirsearch_scan 🟢 [remote:hexstrike-ai ] katana_crawl 🟢 [remote:hexstrike-ai ] gau_discovery 🟢 [remote:hexstrike-ai ] waybackurls_discovery 🟢 [remote:hexstrike-ai ] arjun_parameter_discovery 🟢 [remote:hexstrike-ai ] paramspider_mining 🟢 [remote:hexstrike-ai ] x8_parameter_discovery 🟢 [remote:hexstrike-ai ] jaeles_vulnerability_scan 🟢 [remote:hexstrike-ai ] dalfox_xss_scan 🟢 [remote:hexstrike-ai ] httpx_probe 🟢 [remote:hexstrike-ai ] anew_data_processing 🟢 [remote:hexstrike-ai ] qsreplace_parameter_replacement 🟢 [remote:hexstrike-ai ] uro_url_filtering 🟢 [remote:hexstrike-ai ] ai_generate_payload 🟢 [remote:hexstrike-ai ] ai_test_payload 🟢 [remote:hexstrike-ai ] ai_generate_attack_suite 🟢 [remote:hexstrike-ai ] api_fuzzer 🟢 [remote:hexstrike-ai ] graphql_scanner 🟢 [remote:hexstrike-ai ] jwt_analyzer 🟢 [remote:hexstrike-ai ] api_schema_analyzer 🟢 [remote:hexstrike-ai ] comprehensive_api_audit 🟢 [remote:hexstrike-ai ] volatility3_analyze 🟢 [remote:hexstrike-ai ] foremost_carving 🟢 [remote:hexstrike-ai ] steghide_analysis 🟢 [remote:hexstrike-ai ] exiftool_extract 🟢 [remote:hexstrike-ai ] hashpump_attack 🟢 [remote:hexstrike-ai ] hakrawler_crawl 🟢 [remote:hexstrike-ai ] paramspider_discovery 🟢 [remote:hexstrike-ai ] burpsuite_scan 🟢 [remote:hexstrike-ai ] zap_scan 🟢 [remote:hexstrike-ai ] arjun_scan 🟢 [remote:hexstrike-ai ] wafw00f_scan 🟢 [remote:hexstrike-ai ] fierce_scan 🟢 [remote:hexstrike-ai ] dnsenum_scan 🟢 [remote:hexstrike-ai ] autorecon_scan 🟢 [remote:hexstrike-ai ] server_health 🟢 [remote:hexstrike-ai ] get_cache_stats 🟢 [remote:hexstrike-ai ] clear_cache 🟢 [remote:hexstrike-ai ] get_telemetry 🟢 [remote:hexstrike-ai ] list_active_processes 🟢 [remote:hexstrike-ai ] get_process_status 🟢 [remote:hexstrike-ai ] terminate_process 🟢 [remote:hexstrike-ai ] pause_process 🟢 [remote:hexstrike-ai ] resume_process 🟢 [remote:hexstrike-ai ] get_process_dashboard 🟢 [remote:hexstrike-ai ] execute_command 🟢 [remote:hexstrike-ai ] monitor_cve_feeds 🟢 [remote:hexstrike-ai ] generate_exploit_from_cve 🟢 [remote:hexstrike-ai ] discover_attack_chains 🟢 [remote:hexstrike-ai ] research_zero_day_opportunities 🟢 [remote:hexstrike-ai ] correlate_threat_intelligence 🟢 [remote:hexstrike-ai ] advanced_payload_generation 🟢 [remote:hexstrike-ai ] vulnerability_intelligence_dashboard 🟢 [remote:hexstrike-ai ] threat_hunting_assistant 🟢 [remote:hexstrike-ai ] get_live_dashboard 🟢 [remote:hexstrike-ai ] create_vulnerability_report 🟢 [remote:hexstrike-ai ] format_tool_output_visual 🟢 [remote:hexstrike-ai ] create_scan_summary 🟢 [remote:hexstrike-ai ] display_system_metrics 🟢 [remote:hexstrike-ai ] analyze_target_intelligence 🟢 [remote:hexstrike-ai ] select_optimal_tools_ai 🟢 [remote:hexstrike-ai ] optimize_tool_parameters_ai 🟢 [remote:hexstrike-ai ] create_attack_chain_ai 🟢 [remote:hexstrike-ai ] intelligent_smart_scan 🟢 [remote:hexstrike-ai ] detect_technologies_ai 🟢 [remote:hexstrike-ai ] ai_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] ai_vulnerability_assessment 🟢 [remote:hexstrike-ai ] bugbounty_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] bugbounty_vulnerability_hunting 🟢 [remote:hexstrike-ai ] bugbounty_business_logic_testing 🟢 [remote:hexstrike-ai ] bugbounty_osint_gathering 🟢 [remote:hexstrike-ai ] bugbounty_file_upload_testing 🟢 [remote:hexstrike-ai ] bugbounty_comprehensive_assessment 🟢 [remote:hexstrike-ai ] bugbounty_authentication_bypass_testing 🟢 [remote:hexstrike-ai ] http_framework_test 🟢 [remote:hexstrike-ai ] browser_agent_inspect 🟢 [remote:hexstrike-ai ] http_set_rules 🟢 [remote:hexstrike-ai ] http_set_scope 🟢 [remote:hexstrike-ai ] http_repeater 🟢 [remote:hexstrike-ai ] http_intruder 🟢 [remote:hexstrike-ai ] burpsuite_alternative_scan 🟢 [remote:hexstrike-ai ] error_handling_statistics 🟢 [remote:hexstrike-ai ] test_error_recovery 2026-04-13 15:34:14 [INFO ] agent.Agent │ 💬 用户输入: 扫描主机192.168.0.1，端口80 2026-04-13 15:34:14 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-04-13 15:34:18 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 15:34:18 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 15:34:18 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 15:46:39 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 15:46:39 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 15:46:39 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 15:46:39 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 15:46:39 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 15:46:39 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 15:46:39 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 15:46:39 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=44847 2026-04-13 15:47:12 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [hexstrike-ai] 服务端: hexstrike-ai-mcp v1.26.0 协议版本: 2024-11-05 2026-04-13 15:47:12 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [hexstrike-ai] 连接成功 2026-04-13 15:47:12 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [hexstrike-ai] 工具列表: • nmap_scan: Execute an enhanced Nmap scan against a target with • gobuster_scan: Execute Gobuster to find directories, DNS subdomain • nuclei_scan: Execute Nuclei vulnerability scanner with enhanced • prowler_scan: Execute Prowler for comprehensive cloud security as • trivy_scan: Execute Trivy for container and filesystem vulnerab • scout_suite_assessment: Execute Scout Suite for multi-cloud security assess • cloudmapper_analysis: Execute CloudMapper for AWS network visualization a • pacu_exploitation: Execute Pacu for AWS exploitation framework. • kube_hunter_scan: Execute kube-hunter for Kubernetes penetration test • kube_bench_cis: Execute kube-bench for CIS Kubernetes benchmark che • docker_bench_security_scan: Execute Docker Bench for Security for Docker securi • clair_vulnerability_scan: Execute Clair for container vulnerability analysis. • falco_runtime_monitoring: Execute Falco for runtime security monitoring. • checkov_iac_scan: Execute Checkov for infrastructure as code security • terrascan_iac_scan: Execute Terrascan for infrastructure as code securi • create_file: Create a file with specified content on the HexStri • modify_file: Modify an existing file on the HexStrike server. • delete_file: Delete a file or directory on the HexStrike server. • list_files: List files in a directory on the HexStrike server. • generate_payload: Generate large payloads for testing and exploitatio • install_python_package: Install a Python package in a virtual environment o • execute_python_script: Execute a Python script in a virtual environment on • dirb_scan: Execute Dirb for directory brute forcing with enhan • nikto_scan: Execute Nikto web vulnerability scanner with enhanc • sqlmap_scan: Execute SQLMap for SQL injection testing with enhan • metasploit_run: Execute a Metasploit module with enhanced logging. • hydra_attack: Execute Hydra for password brute forcing with enhan • john_crack: Execute John the Ripper for password cracking with • wpscan_analyze: Execute WPScan for WordPress vulnerability scanning • enum4linux_scan: Execute Enum4linux for SMB enumeration with enhance • ffuf_scan: Execute FFuf for web fuzzing with enhanced logging. • netexec_scan: Execute NetExec (formerly CrackMapExec) for network • amass_scan: Execute Amass for subdomain enumeration with enhanc • hashcat_crack: Execute Hashcat for advanced password cracking with • subfinder_scan: Execute Subfinder for passive subdomain enumeration • smbmap_scan: Execute SMBMap for SMB share enumeration with enhan • rustscan_fast_scan: Execute Rustscan for ultra-fast port scanning with • masscan_high_speed: Execute Masscan for high-speed Internet-scale port • nmap_advanced_scan: Execute advanced Nmap scans with custom NSE scripts • autorecon_comprehensive: Execute AutoRecon for comprehensive automated recon • enum4linux_ng_advanced: Execute Enum4linux-ng for advanced SMB enumeration • rpcclient_enumeration: Execute rpcclient for RPC enumeration with enhanced • nbtscan_netbios: Execute nbtscan for NetBIOS name scanning with enha • arp_scan_discovery: Execute arp-scan for network discovery with enhance • responder_credential_harvest: Execute Responder for credential harvesting with en • volatility_analyze: Execute Volatility for memory forensics analysis wi • msfvenom_generate: Execute MSFVenom for payload generation with enhanc • gdb_analyze: Execute GDB for binary analysis and debugging with • radare2_analyze: Execute Radare2 for binary analysis and reverse eng • binwalk_analyze: Execute Binwalk for firmware and file analysis with • ropgadget_search: Search for ROP gadgets in a binary using ROPgadget • checksec_analyze: Check security features of a binary with enhanced l • xxd_hexdump: Create a hex dump of a file using xxd with enhanced • strings_extract: Extract strings from a binary file with enhanced lo • objdump_analyze: Analyze a binary using objdump with enhanced loggin • ghidra_analysis: Execute Ghidra for advanced binary analysis and rev • pwntools_exploit: Execute Pwntools for exploit development and automa • one_gadget_search: Execute one_gadget to find one-shot RCE gadgets in • libc_database_lookup: Execute libc-database for libc identification and o • gdb_peda_debug: Execute GDB with PEDA for enhanced debugging and ex • angr_symbolic_execution: Execute angr for symbolic execution and binary anal • ropper_gadget_search: Execute ropper for advanced ROP/JOP gadget searchin • pwninit_setup: Execute pwninit for CTF binary exploitation setup. • feroxbuster_scan: Execute Feroxbuster for recursive content discovery • dotdotpwn_scan: Execute DotDotPwn for directory traversal testing w • xsser_scan: Execute XSSer for XSS vulnerability testing with en • wfuzz_scan: Execute Wfuzz for web application fuzzing with enha • dirsearch_scan: Execute Dirsearch for advanced directory and file d • katana_crawl: Execute Katana for next-generation crawling and spi • gau_discovery: Execute Gau (Get All URLs) for URL discovery from m • waybackurls_discovery: Execute Waybackurls for historical URL discovery wi • arjun_parameter_discovery: Execute Arjun for HTTP parameter discovery with enh • paramspider_mining: Execute ParamSpider for parameter mining from web a • x8_parameter_discovery: Execute x8 for hidden parameter discovery with enha • jaeles_vulnerability_scan: Execute Jaeles for advanced vulnerability scanning • dalfox_xss_scan: Execute Dalfox for advanced XSS vulnerability scann • httpx_probe: Execute httpx for fast HTTP probing and technology • anew_data_processing: Execute anew for appending new lines to files (usef • qsreplace_parameter_replacement: Execute qsreplace for query string parameter replac • uro_url_filtering: Execute uro for filtering out similar URLs. • ai_generate_payload: Generate AI-powered contextual payloads for securit • ai_test_payload: Test generated payload against target with AI analy • ai_generate_attack_suite: Generate comprehensive attack suite with multiple p • api_fuzzer: Advanced API endpoint fuzzing with intelligent para • graphql_scanner: Advanced GraphQL security scanning and introspectio • jwt_analyzer: Advanced JWT token analysis and vulnerability testi • api_schema_analyzer: Analyze API schemas and identify potential security • comprehensive_api_audit: Comprehensive API security audit combining multiple • volatility3_analyze: Execute Volatility3 for advanced memory forensics w • foremost_carving: Execute Foremost for file carving with enhanced log • steghide_analysis: Execute Steghide for steganography analysis with en • exiftool_extract: Execute ExifTool for metadata extraction with enhan • hashpump_attack: Execute HashPump for hash length extension attacks • hakrawler_crawl: Execute Hakrawler for web endpoint discovery with e • paramspider_discovery: Execute ParamSpider for parameter discovery with en • burpsuite_scan: Execute Burp Suite with enhanced logging. • zap_scan: Execute OWASP ZAP with enhanced logging. A • arjun_scan: Execute Arjun for parameter discovery with enhanced • wafw00f_scan: Execute wafw00f to identify and fingerprint WAF pro • fierce_scan: Execute fierce for DNS reconnaissance with enhanced • dnsenum_scan: Execute dnsenum for DNS enumeration with enhanced l • autorecon_scan: Execute AutoRecon for comprehensive target enumerat • server_health: Check the health status of the HexStrike AI server. • get_cache_stats: Get cache statistics from the HexStrike AI server. • clear_cache: Clear the cache on the HexStrike AI server. • get_telemetry: Get system telemetry from the HexStrike AI server. • list_active_processes: List all active processes on the HexStrike AI serve • get_process_status: Get the status of a specific process. Args • terminate_process: Terminate a specific running process. Args • pause_process: Pause a specific running process. Args: • resume_process: Resume a paused process. Args: • get_process_dashboard: Get enhanced process dashboard with visual status i • execute_command: Execute an arbitrary command on the HexStrike AI se • monitor_cve_feeds: Monitor CVE databases for new vulnerabilities with • generate_exploit_from_cve: Generate working exploits from CVE information usin • discover_attack_chains: Discover multi-stage attack chains for target softw • research_zero_day_opportunities: Automated zero-day vulnerability research using AI • correlate_threat_intelligence: Correlate threat intelligence across multiple sourc • advanced_payload_generation: Generate advanced payloads with AI-powered evasion • vulnerability_intelligence_dashboard: Get a comprehensive vulnerability intelligence dash • threat_hunting_assistant: AI-powered threat hunting assistant with vulnerabil • get_live_dashboard: Get a beautiful live dashboard showing all active p • create_vulnerability_report: Create a beautiful vulnerability report with severi • format_tool_output_visual: Format tool output with beautiful visual styling, s • create_scan_summary: Create a comprehensive scan summary report with bea • display_system_metrics: Display current system metrics and performance indi • analyze_target_intelligence: Analyze target using AI-powered intelligence to cre • select_optimal_tools_ai: Use AI to select optimal security tools based on ta • optimize_tool_parameters_ai: Use AI to optimize tool parameters based on target • create_attack_chain_ai: Create an intelligent attack chain using AI-driven • intelligent_smart_scan: Execute an intelligent scan using AI-driven tool se • detect_technologies_ai: Use AI to detect technologies and provide technolog • ai_reconnaissance_workflow: Execute AI-driven reconnaissance workflow with inte • ai_vulnerability_assessment: Perform AI-driven vulnerability assessment with int • bugbounty_reconnaissance_workflow: Create comprehensive reconnaissance workflow for bu • bugbounty_vulnerability_hunting: Create vulnerability hunting workflow prioritized b • bugbounty_business_logic_testing: Create business logic testing workflow for advanced • bugbounty_osint_gathering: Create OSINT (Open Source Intelligence) gathering w • bugbounty_file_upload_testing: Create file upload vulnerability testing workflow w • bugbounty_comprehensive_assessment: Create comprehensive bug bounty assessment combinin • bugbounty_authentication_bypass_testing: Create authentication bypass testing workflow for b • http_framework_test: Enhanced HTTP testing framework (Burp Suite alterna • browser_agent_inspect: AI-powered browser agent for comprehensive web appl • http_set_rules: Set match/replace rules used to rewrite parts of URL/query/h • http_set_scope: Define in-scope host (and optionally subdomains) so out-of-s • http_repeater: Send a crafted request (Burp Repeater equivalent). request_s • http_intruder: Simple Intruder (sniper) fuzzing. Iterates payloads over eac • burpsuite_alternative_scan: Comprehensive Burp Suite alternative combining HTTP • error_handling_statistics: Get intelligent error handling system statistics an • test_error_recovery: Test the intelligent error recovery system with sim 2026-04-13 15:47:12 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [hexstrike-ai] 注册完成 工具数=150: ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:47:12 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 150 个 ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 15:47:16 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 154 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:hexstrike-ai ] nmap_scan 🟢 [remote:hexstrike-ai ] gobuster_scan 🟢 [remote:hexstrike-ai ] nuclei_scan 🟢 [remote:hexstrike-ai ] prowler_scan 🟢 [remote:hexstrike-ai ] trivy_scan 🟢 [remote:hexstrike-ai ] scout_suite_assessment 🟢 [remote:hexstrike-ai ] cloudmapper_analysis 🟢 [remote:hexstrike-ai ] pacu_exploitation 🟢 [remote:hexstrike-ai ] kube_hunter_scan 🟢 [remote:hexstrike-ai ] kube_bench_cis 🟢 [remote:hexstrike-ai ] docker_bench_security_scan 🟢 [remote:hexstrike-ai ] clair_vulnerability_scan 🟢 [remote:hexstrike-ai ] falco_runtime_monitoring 🟢 [remote:hexstrike-ai ] checkov_iac_scan 🟢 [remote:hexstrike-ai ] terrascan_iac_scan 🟢 [remote:hexstrike-ai ] create_file 🟢 [remote:hexstrike-ai ] modify_file 🟢 [remote:hexstrike-ai ] delete_file 🟢 [remote:hexstrike-ai ] list_files 🟢 [remote:hexstrike-ai ] generate_payload 🟢 [remote:hexstrike-ai ] install_python_package 🟢 [remote:hexstrike-ai ] execute_python_script 🟢 [remote:hexstrike-ai ] dirb_scan 🟢 [remote:hexstrike-ai ] nikto_scan 🟢 [remote:hexstrike-ai ] sqlmap_scan 🟢 [remote:hexstrike-ai ] metasploit_run 🟢 [remote:hexstrike-ai ] hydra_attack 🟢 [remote:hexstrike-ai ] john_crack 🟢 [remote:hexstrike-ai ] wpscan_analyze 🟢 [remote:hexstrike-ai ] enum4linux_scan 🟢 [remote:hexstrike-ai ] ffuf_scan 🟢 [remote:hexstrike-ai ] netexec_scan 🟢 [remote:hexstrike-ai ] amass_scan 🟢 [remote:hexstrike-ai ] hashcat_crack 🟢 [remote:hexstrike-ai ] subfinder_scan 🟢 [remote:hexstrike-ai ] smbmap_scan 🟢 [remote:hexstrike-ai ] rustscan_fast_scan 🟢 [remote:hexstrike-ai ] masscan_high_speed 🟢 [remote:hexstrike-ai ] nmap_advanced_scan 🟢 [remote:hexstrike-ai ] autorecon_comprehensive 🟢 [remote:hexstrike-ai ] enum4linux_ng_advanced 🟢 [remote:hexstrike-ai ] rpcclient_enumeration 🟢 [remote:hexstrike-ai ] nbtscan_netbios 🟢 [remote:hexstrike-ai ] arp_scan_discovery 🟢 [remote:hexstrike-ai ] responder_credential_harvest 🟢 [remote:hexstrike-ai ] volatility_analyze 🟢 [remote:hexstrike-ai ] msfvenom_generate 🟢 [remote:hexstrike-ai ] gdb_analyze 🟢 [remote:hexstrike-ai ] radare2_analyze 🟢 [remote:hexstrike-ai ] binwalk_analyze 🟢 [remote:hexstrike-ai ] ropgadget_search 🟢 [remote:hexstrike-ai ] checksec_analyze 🟢 [remote:hexstrike-ai ] xxd_hexdump 🟢 [remote:hexstrike-ai ] strings_extract 🟢 [remote:hexstrike-ai ] objdump_analyze 🟢 [remote:hexstrike-ai ] ghidra_analysis 🟢 [remote:hexstrike-ai ] pwntools_exploit 🟢 [remote:hexstrike-ai ] one_gadget_search 🟢 [remote:hexstrike-ai ] libc_database_lookup 🟢 [remote:hexstrike-ai ] gdb_peda_debug 🟢 [remote:hexstrike-ai ] angr_symbolic_execution 🟢 [remote:hexstrike-ai ] ropper_gadget_search 🟢 [remote:hexstrike-ai ] pwninit_setup 🟢 [remote:hexstrike-ai ] feroxbuster_scan 🟢 [remote:hexstrike-ai ] dotdotpwn_scan 🟢 [remote:hexstrike-ai ] xsser_scan 🟢 [remote:hexstrike-ai ] wfuzz_scan 🟢 [remote:hexstrike-ai ] dirsearch_scan 🟢 [remote:hexstrike-ai ] katana_crawl 🟢 [remote:hexstrike-ai ] gau_discovery 🟢 [remote:hexstrike-ai ] waybackurls_discovery 🟢 [remote:hexstrike-ai ] arjun_parameter_discovery 🟢 [remote:hexstrike-ai ] paramspider_mining 🟢 [remote:hexstrike-ai ] x8_parameter_discovery 🟢 [remote:hexstrike-ai ] jaeles_vulnerability_scan 🟢 [remote:hexstrike-ai ] dalfox_xss_scan 🟢 [remote:hexstrike-ai ] httpx_probe 🟢 [remote:hexstrike-ai ] anew_data_processing 🟢 [remote:hexstrike-ai ] qsreplace_parameter_replacement 🟢 [remote:hexstrike-ai ] uro_url_filtering 🟢 [remote:hexstrike-ai ] ai_generate_payload 🟢 [remote:hexstrike-ai ] ai_test_payload 🟢 [remote:hexstrike-ai ] ai_generate_attack_suite 🟢 [remote:hexstrike-ai ] api_fuzzer 🟢 [remote:hexstrike-ai ] graphql_scanner 🟢 [remote:hexstrike-ai ] jwt_analyzer 🟢 [remote:hexstrike-ai ] api_schema_analyzer 🟢 [remote:hexstrike-ai ] comprehensive_api_audit 🟢 [remote:hexstrike-ai ] volatility3_analyze 🟢 [remote:hexstrike-ai ] foremost_carving 🟢 [remote:hexstrike-ai ] steghide_analysis 🟢 [remote:hexstrike-ai ] exiftool_extract 🟢 [remote:hexstrike-ai ] hashpump_attack 🟢 [remote:hexstrike-ai ] hakrawler_crawl 🟢 [remote:hexstrike-ai ] paramspider_discovery 🟢 [remote:hexstrike-ai ] burpsuite_scan 🟢 [remote:hexstrike-ai ] zap_scan 🟢 [remote:hexstrike-ai ] arjun_scan 🟢 [remote:hexstrike-ai ] wafw00f_scan 🟢 [remote:hexstrike-ai ] fierce_scan 🟢 [remote:hexstrike-ai ] dnsenum_scan 🟢 [remote:hexstrike-ai ] autorecon_scan 🟢 [remote:hexstrike-ai ] server_health 🟢 [remote:hexstrike-ai ] get_cache_stats 🟢 [remote:hexstrike-ai ] clear_cache 🟢 [remote:hexstrike-ai ] get_telemetry 🟢 [remote:hexstrike-ai ] list_active_processes 🟢 [remote:hexstrike-ai ] get_process_status 🟢 [remote:hexstrike-ai ] terminate_process 🟢 [remote:hexstrike-ai ] pause_process 🟢 [remote:hexstrike-ai ] resume_process 🟢 [remote:hexstrike-ai ] get_process_dashboard 🟢 [remote:hexstrike-ai ] execute_command 🟢 [remote:hexstrike-ai ] monitor_cve_feeds 🟢 [remote:hexstrike-ai ] generate_exploit_from_cve 🟢 [remote:hexstrike-ai ] discover_attack_chains 🟢 [remote:hexstrike-ai ] research_zero_day_opportunities 🟢 [remote:hexstrike-ai ] correlate_threat_intelligence 🟢 [remote:hexstrike-ai ] advanced_payload_generation 🟢 [remote:hexstrike-ai ] vulnerability_intelligence_dashboard 🟢 [remote:hexstrike-ai ] threat_hunting_assistant 🟢 [remote:hexstrike-ai ] get_live_dashboard 🟢 [remote:hexstrike-ai ] create_vulnerability_report 🟢 [remote:hexstrike-ai ] format_tool_output_visual 🟢 [remote:hexstrike-ai ] create_scan_summary 🟢 [remote:hexstrike-ai ] display_system_metrics 🟢 [remote:hexstrike-ai ] analyze_target_intelligence 🟢 [remote:hexstrike-ai ] select_optimal_tools_ai 🟢 [remote:hexstrike-ai ] optimize_tool_parameters_ai 🟢 [remote:hexstrike-ai ] create_attack_chain_ai 🟢 [remote:hexstrike-ai ] intelligent_smart_scan 🟢 [remote:hexstrike-ai ] detect_technologies_ai 🟢 [remote:hexstrike-ai ] ai_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] ai_vulnerability_assessment 🟢 [remote:hexstrike-ai ] bugbounty_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] bugbounty_vulnerability_hunting 🟢 [remote:hexstrike-ai ] bugbounty_business_logic_testing 🟢 [remote:hexstrike-ai ] bugbounty_osint_gathering 🟢 [remote:hexstrike-ai ] bugbounty_file_upload_testing 🟢 [remote:hexstrike-ai ] bugbounty_comprehensive_assessment 🟢 [remote:hexstrike-ai ] bugbounty_authentication_bypass_testing 🟢 [remote:hexstrike-ai ] http_framework_test 🟢 [remote:hexstrike-ai ] browser_agent_inspect 🟢 [remote:hexstrike-ai ] http_set_rules 🟢 [remote:hexstrike-ai ] http_set_scope 🟢 [remote:hexstrike-ai ] http_repeater 🟢 [remote:hexstrike-ai ] http_intruder 🟢 [remote:hexstrike-ai ] burpsuite_alternative_scan 🟢 [remote:hexstrike-ai ] error_handling_statistics 🟢 [remote:hexstrike-ai ] test_error_recovery 2026-04-13 15:47:27 [INFO ] agent.Agent │ 💬 用户输入: 扫描主机192.168.0.1的80端口 2026-04-13 15:47:27 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-04-13 15:47:42 [DEBUG ] agent.Agent │ LLM 响应: finish=tool_calls tool_calls=1 content= 2026-04-13 15:47:42 [INFO ] agent.Agent │ 🔧 执行工具: nmap_scan 来源: {'name': 'nmap_scan', 'source': 'remote:hexstrike-ai', 'description': '\n Execute an enhanced Nmap scan against a target with real-time logging.\n\n Args:\n target: The IP address or hostname to scan\n scan_type: Scan type (e.g., -sV for version detection, -sC for scripts)\n ports: Comma-separated list of ports or port ranges\n additional_args: Additional Nmap arguments\n\n Returns:\n Scan results with enhanced telemetry\n '} 参数: {"target": "192.168.0.1", "ports": "80"} 2026-04-13 15:47:42 [INFO ] agent.MCP.SkillRegistry │ 🌐 调用远端工具: [hexstrike-ai] / nmap_scan 参数={'target': '192.168.0.1', 'ports': '80'} 2026-04-13 15:47:42 [INFO ] agent.MCP.SkillClient │ 🔧 调用远端工具: [hexstrike-ai] / nmap_scan 参数: {"target": "192.168.0.1", "ports": "80"} 2026-04-13 15:47:45 [INFO ] agent.MCP.SkillClient │ ✅ 工具调用成功: nmap_scan 耗时=3.81s 结果: { "execution_time": 3.7700958251953125, "partial_results": false, "recovery_info": { "attempts_made": 1, "recovery_applied": false, 2026-04-13 15:47:45 [INFO ] agent.Agent │ ✅ 工具结果: nmap_scan source=remote:hexstrike-ai 耗时=3.81s { "execution_time": 3.7700958251953125, "partial_results": false, "recovery_info": { "attempts_made": 1, "recovery_applied": false, "recovery_history": [] }, "return_code": 0, 2026-04-13 15:47:45 [INFO ] agent.Agent │ 🔁 推理步骤 2/10 2026-04-13 15:47:50 [DEBUG ] agent.Agent │ LLM 响应: finish=stop tool_calls=0 content=扫描主机192.168.0.1的80端口时，Nmap返回以下结果： - **主机状态**: 主机似乎处于离线状态。如果主机确实在线，但阻止了Nmap的ping 2026-04-13 15:49:14 [INFO ] agent.Agent │ 💬 用户输入: 扫描主机10.10.10.229 2026-04-13 15:49:14 [INFO ] agent.Agent │ 🔁 推理步骤 1/10 2026-04-13 15:49:18 [DEBUG ] agent.Agent │ LLM 响应: finish=tool_calls tool_calls=1 content= 2026-04-13 15:49:18 [INFO ] agent.Agent │ 🔧 执行工具: nmap_scan 来源: {'name': 'nmap_scan', 'source': 'remote:hexstrike-ai', 'description': '\n Execute an enhanced Nmap scan against a target with real-time logging.\n\n Args:\n target: The IP address or hostname to scan\n scan_type: Scan type (e.g., -sV for version detection, -sC for scripts)\n ports: Comma-separated list of ports or port ranges\n additional_args: Additional Nmap arguments\n\n Returns:\n Scan results with enhanced telemetry\n '} 参数: {"target": "10.10.10.229"} 2026-04-13 15:49:18 [INFO ] agent.MCP.SkillRegistry │ 🌐 调用远端工具: [hexstrike-ai] / nmap_scan 参数={'target': '10.10.10.229'} 2026-04-13 15:49:18 [INFO ] agent.MCP.SkillClient │ 🔧 调用远端工具: [hexstrike-ai] / nmap_scan 参数: {"target": "10.10.10.229"} 2026-04-13 15:49:33 [INFO ] agent.MCP.SkillClient │ ✅ 工具调用成功: nmap_scan 耗时=14.57s 结果: { "execution_time": 14.536990880966187, "partial_results": false, "recovery_info": { "attempts_made": 1, "recovery_applied": false, 2026-04-13 15:49:33 [INFO ] agent.Agent │ ✅ 工具结果: nmap_scan source=remote:hexstrike-ai 耗时=14.58s { "execution_time": 14.536990880966187, "partial_results": false, "recovery_info": { "attempts_made": 1, "recovery_applied": false, "recovery_history": [] }, "return_code": 0, 2026-04-13 15:49:33 [INFO ] agent.Agent │ 🔁 推理步骤 2/10 2026-04-13 15:49:40 [DEBUG ] agent.Agent │ LLM 响应: finish=stop tool_calls=0 content=扫描主机 `10.10.10.229` 的结果如下： - **主机状态**: 在线 (延迟约 0.00066 秒) - **端口信息**: - **22/ 2026-04-13 16:11:22 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 16:11:22 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 16:11:22 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 16:11:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 16:11:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 16:11:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 16:11:32 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 16:11:32 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 16:11:32 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 16:11:32 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 16:11:32 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=47856 2026-04-13 16:12:03 [INFO ] agent.MCP.SkillClient │ 🤝 MCP 握手成功 [hexstrike-ai] 服务端: hexstrike-ai-mcp v1.26.0 协议版本: 2024-11-05 2026-04-13 16:12:03 [INFO ] agent.MCP.SkillClient │ ✅ MCP Skill [hexstrike-ai] 连接成功 2026-04-13 16:12:03 [INFO ] agent.MCP.SkillClient │ 📦 MCP Skill [hexstrike-ai] 工具列表: • nmap_scan: Execute an enhanced Nmap scan against a target with • gobuster_scan: Execute Gobuster to find directories, DNS subdomain • nuclei_scan: Execute Nuclei vulnerability scanner with enhanced • prowler_scan: Execute Prowler for comprehensive cloud security as • trivy_scan: Execute Trivy for container and filesystem vulnerab • scout_suite_assessment: Execute Scout Suite for multi-cloud security assess • cloudmapper_analysis: Execute CloudMapper for AWS network visualization a • pacu_exploitation: Execute Pacu for AWS exploitation framework. • kube_hunter_scan: Execute kube-hunter for Kubernetes penetration test • kube_bench_cis: Execute kube-bench for CIS Kubernetes benchmark che • docker_bench_security_scan: Execute Docker Bench for Security for Docker securi • clair_vulnerability_scan: Execute Clair for container vulnerability analysis. • falco_runtime_monitoring: Execute Falco for runtime security monitoring. • checkov_iac_scan: Execute Checkov for infrastructure as code security • terrascan_iac_scan: Execute Terrascan for infrastructure as code securi • create_file: Create a file with specified content on the HexStri • modify_file: Modify an existing file on the HexStrike server. • delete_file: Delete a file or directory on the HexStrike server. • list_files: List files in a directory on the HexStrike server. • generate_payload: Generate large payloads for testing and exploitatio • install_python_package: Install a Python package in a virtual environment o • execute_python_script: Execute a Python script in a virtual environment on • dirb_scan: Execute Dirb for directory brute forcing with enhan • nikto_scan: Execute Nikto web vulnerability scanner with enhanc • sqlmap_scan: Execute SQLMap for SQL injection testing with enhan • metasploit_run: Execute a Metasploit module with enhanced logging. • hydra_attack: Execute Hydra for password brute forcing with enhan • john_crack: Execute John the Ripper for password cracking with • wpscan_analyze: Execute WPScan for WordPress vulnerability scanning • enum4linux_scan: Execute Enum4linux for SMB enumeration with enhance • ffuf_scan: Execute FFuf for web fuzzing with enhanced logging. • netexec_scan: Execute NetExec (formerly CrackMapExec) for network • amass_scan: Execute Amass for subdomain enumeration with enhanc • hashcat_crack: Execute Hashcat for advanced password cracking with • subfinder_scan: Execute Subfinder for passive subdomain enumeration • smbmap_scan: Execute SMBMap for SMB share enumeration with enhan • rustscan_fast_scan: Execute Rustscan for ultra-fast port scanning with • masscan_high_speed: Execute Masscan for high-speed Internet-scale port • nmap_advanced_scan: Execute advanced Nmap scans with custom NSE scripts • autorecon_comprehensive: Execute AutoRecon for comprehensive automated recon • enum4linux_ng_advanced: Execute Enum4linux-ng for advanced SMB enumeration • rpcclient_enumeration: Execute rpcclient for RPC enumeration with enhanced • nbtscan_netbios: Execute nbtscan for NetBIOS name scanning with enha • arp_scan_discovery: Execute arp-scan for network discovery with enhance • responder_credential_harvest: Execute Responder for credential harvesting with en • volatility_analyze: Execute Volatility for memory forensics analysis wi • msfvenom_generate: Execute MSFVenom for payload generation with enhanc • gdb_analyze: Execute GDB for binary analysis and debugging with • radare2_analyze: Execute Radare2 for binary analysis and reverse eng • binwalk_analyze: Execute Binwalk for firmware and file analysis with • ropgadget_search: Search for ROP gadgets in a binary using ROPgadget • checksec_analyze: Check security features of a binary with enhanced l • xxd_hexdump: Create a hex dump of a file using xxd with enhanced • strings_extract: Extract strings from a binary file with enhanced lo • objdump_analyze: Analyze a binary using objdump with enhanced loggin • ghidra_analysis: Execute Ghidra for advanced binary analysis and rev • pwntools_exploit: Execute Pwntools for exploit development and automa • one_gadget_search: Execute one_gadget to find one-shot RCE gadgets in • libc_database_lookup: Execute libc-database for libc identification and o • gdb_peda_debug: Execute GDB with PEDA for enhanced debugging and ex • angr_symbolic_execution: Execute angr for symbolic execution and binary anal • ropper_gadget_search: Execute ropper for advanced ROP/JOP gadget searchin • pwninit_setup: Execute pwninit for CTF binary exploitation setup. • feroxbuster_scan: Execute Feroxbuster for recursive content discovery • dotdotpwn_scan: Execute DotDotPwn for directory traversal testing w • xsser_scan: Execute XSSer for XSS vulnerability testing with en • wfuzz_scan: Execute Wfuzz for web application fuzzing with enha • dirsearch_scan: Execute Dirsearch for advanced directory and file d • katana_crawl: Execute Katana for next-generation crawling and spi • gau_discovery: Execute Gau (Get All URLs) for URL discovery from m • waybackurls_discovery: Execute Waybackurls for historical URL discovery wi • arjun_parameter_discovery: Execute Arjun for HTTP parameter discovery with enh • paramspider_mining: Execute ParamSpider for parameter mining from web a • x8_parameter_discovery: Execute x8 for hidden parameter discovery with enha • jaeles_vulnerability_scan: Execute Jaeles for advanced vulnerability scanning • dalfox_xss_scan: Execute Dalfox for advanced XSS vulnerability scann • httpx_probe: Execute httpx for fast HTTP probing and technology • anew_data_processing: Execute anew for appending new lines to files (usef • qsreplace_parameter_replacement: Execute qsreplace for query string parameter replac • uro_url_filtering: Execute uro for filtering out similar URLs. • ai_generate_payload: Generate AI-powered contextual payloads for securit • ai_test_payload: Test generated payload against target with AI analy • ai_generate_attack_suite: Generate comprehensive attack suite with multiple p • api_fuzzer: Advanced API endpoint fuzzing with intelligent para • graphql_scanner: Advanced GraphQL security scanning and introspectio • jwt_analyzer: Advanced JWT token analysis and vulnerability testi • api_schema_analyzer: Analyze API schemas and identify potential security • comprehensive_api_audit: Comprehensive API security audit combining multiple • volatility3_analyze: Execute Volatility3 for advanced memory forensics w • foremost_carving: Execute Foremost for file carving with enhanced log • steghide_analysis: Execute Steghide for steganography analysis with en • exiftool_extract: Execute ExifTool for metadata extraction with enhan • hashpump_attack: Execute HashPump for hash length extension attacks • hakrawler_crawl: Execute Hakrawler for web endpoint discovery with e • paramspider_discovery: Execute ParamSpider for parameter discovery with en • burpsuite_scan: Execute Burp Suite with enhanced logging. • zap_scan: Execute OWASP ZAP with enhanced logging. A • arjun_scan: Execute Arjun for parameter discovery with enhanced • wafw00f_scan: Execute wafw00f to identify and fingerprint WAF pro • fierce_scan: Execute fierce for DNS reconnaissance with enhanced • dnsenum_scan: Execute dnsenum for DNS enumeration with enhanced l • autorecon_scan: Execute AutoRecon for comprehensive target enumerat • server_health: Check the health status of the HexStrike AI server. • get_cache_stats: Get cache statistics from the HexStrike AI server. • clear_cache: Clear the cache on the HexStrike AI server. • get_telemetry: Get system telemetry from the HexStrike AI server. • list_active_processes: List all active processes on the HexStrike AI serve • get_process_status: Get the status of a specific process. Args • terminate_process: Terminate a specific running process. Args • pause_process: Pause a specific running process. Args: • resume_process: Resume a paused process. Args: • get_process_dashboard: Get enhanced process dashboard with visual status i • execute_command: Execute an arbitrary command on the HexStrike AI se • monitor_cve_feeds: Monitor CVE databases for new vulnerabilities with • generate_exploit_from_cve: Generate working exploits from CVE information usin • discover_attack_chains: Discover multi-stage attack chains for target softw • research_zero_day_opportunities: Automated zero-day vulnerability research using AI • correlate_threat_intelligence: Correlate threat intelligence across multiple sourc • advanced_payload_generation: Generate advanced payloads with AI-powered evasion • vulnerability_intelligence_dashboard: Get a comprehensive vulnerability intelligence dash • threat_hunting_assistant: AI-powered threat hunting assistant with vulnerabil • get_live_dashboard: Get a beautiful live dashboard showing all active p • create_vulnerability_report: Create a beautiful vulnerability report with severi • format_tool_output_visual: Format tool output with beautiful visual styling, s • create_scan_summary: Create a comprehensive scan summary report with bea • display_system_metrics: Display current system metrics and performance indi • analyze_target_intelligence: Analyze target using AI-powered intelligence to cre • select_optimal_tools_ai: Use AI to select optimal security tools based on ta • optimize_tool_parameters_ai: Use AI to optimize tool parameters based on target • create_attack_chain_ai: Create an intelligent attack chain using AI-driven • intelligent_smart_scan: Execute an intelligent scan using AI-driven tool se • detect_technologies_ai: Use AI to detect technologies and provide technolog • ai_reconnaissance_workflow: Execute AI-driven reconnaissance workflow with inte • ai_vulnerability_assessment: Perform AI-driven vulnerability assessment with int • bugbounty_reconnaissance_workflow: Create comprehensive reconnaissance workflow for bu • bugbounty_vulnerability_hunting: Create vulnerability hunting workflow prioritized b • bugbounty_business_logic_testing: Create business logic testing workflow for advanced • bugbounty_osint_gathering: Create OSINT (Open Source Intelligence) gathering w • bugbounty_file_upload_testing: Create file upload vulnerability testing workflow w • bugbounty_comprehensive_assessment: Create comprehensive bug bounty assessment combinin • bugbounty_authentication_bypass_testing: Create authentication bypass testing workflow for b • http_framework_test: Enhanced HTTP testing framework (Burp Suite alterna • browser_agent_inspect: AI-powered browser agent for comprehensive web appl • http_set_rules: Set match/replace rules used to rewrite parts of URL/query/h • http_set_scope: Define in-scope host (and optionally subdomains) so out-of-s • http_repeater: Send a crafted request (Burp Repeater equivalent). request_s • http_intruder: Simple Intruder (sniper) fuzzing. Iterates payloads over eac • burpsuite_alternative_scan: Comprehensive Burp Suite alternative combining HTTP • error_handling_statistics: Get intelligent error handling system statistics an • test_error_recovery: Test the intelligent error recovery system with sim 2026-04-13 16:12:03 [INFO ] agent.MCP.SkillRegistry │ ✅ Skill [hexstrike-ai] 注册完成 工具数=150: ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 16:12:03 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 150 个 ['nmap_scan', 'gobuster_scan', 'nuclei_scan', 'prowler_scan', 'trivy_scan', 'scout_suite_assessment', 'cloudmapper_analysis', 'pacu_exploitation', 'kube_hunter_scan', 'kube_bench_cis', 'docker_bench_security_scan', 'clair_vulnerability_scan', 'falco_runtime_monitoring', 'checkov_iac_scan', 'terrascan_iac_scan', 'create_file', 'modify_file', 'delete_file', 'list_files', 'generate_payload', 'install_python_package', 'execute_python_script', 'dirb_scan', 'nikto_scan', 'sqlmap_scan', 'metasploit_run', 'hydra_attack', 'john_crack', 'wpscan_analyze', 'enum4linux_scan', 'ffuf_scan', 'netexec_scan', 'amass_scan', 'hashcat_crack', 'subfinder_scan', 'smbmap_scan', 'rustscan_fast_scan', 'masscan_high_speed', 'nmap_advanced_scan', 'autorecon_comprehensive', 'enum4linux_ng_advanced', 'rpcclient_enumeration', 'nbtscan_netbios', 'arp_scan_discovery', 'responder_credential_harvest', 'volatility_analyze', 'msfvenom_generate', 'gdb_analyze', 'radare2_analyze', 'binwalk_analyze', 'ropgadget_search', 'checksec_analyze', 'xxd_hexdump', 'strings_extract', 'objdump_analyze', 'ghidra_analysis', 'pwntools_exploit', 'one_gadget_search', 'libc_database_lookup', 'gdb_peda_debug', 'angr_symbolic_execution', 'ropper_gadget_search', 'pwninit_setup', 'feroxbuster_scan', 'dotdotpwn_scan', 'xsser_scan', 'wfuzz_scan', 'dirsearch_scan', 'katana_crawl', 'gau_discovery', 'waybackurls_discovery', 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery', 'jaeles_vulnerability_scan', 'dalfox_xss_scan', 'httpx_probe', 'anew_data_processing', 'qsreplace_parameter_replacement', 'uro_url_filtering', 'ai_generate_payload', 'ai_test_payload', 'ai_generate_attack_suite', 'api_fuzzer', 'graphql_scanner', 'jwt_analyzer', 'api_schema_analyzer', 'comprehensive_api_audit', 'volatility3_analyze', 'foremost_carving', 'steghide_analysis', 'exiftool_extract', 'hashpump_attack', 'hakrawler_crawl', 'paramspider_discovery', 'burpsuite_scan', 'zap_scan', 'arjun_scan', 'wafw00f_scan', 'fierce_scan', 'dnsenum_scan', 'autorecon_scan', 'server_health', 'get_cache_stats', 'clear_cache', 'get_telemetry', 'list_active_processes', 'get_process_status', 'terminate_process', 'pause_process', 'resume_process', 'get_process_dashboard', 'execute_command', 'monitor_cve_feeds', 'generate_exploit_from_cve', 'discover_attack_chains', 'research_zero_day_opportunities', 'correlate_threat_intelligence', 'advanced_payload_generation', 'vulnerability_intelligence_dashboard', 'threat_hunting_assistant', 'get_live_dashboard', 'create_vulnerability_report', 'format_tool_output_visual', 'create_scan_summary', 'display_system_metrics', 'analyze_target_intelligence', 'select_optimal_tools_ai', 'optimize_tool_parameters_ai', 'create_attack_chain_ai', 'intelligent_smart_scan', 'detect_technologies_ai', 'ai_reconnaissance_workflow', 'ai_vulnerability_assessment', 'bugbounty_reconnaissance_workflow', 'bugbounty_vulnerability_hunting', 'bugbounty_business_logic_testing', 'bugbounty_osint_gathering', 'bugbounty_file_upload_testing', 'bugbounty_comprehensive_assessment', 'bugbounty_authentication_bypass_testing', 'http_framework_test', 'browser_agent_inspect', 'http_set_rules', 'http_set_scope', 'http_repeater', 'http_intruder', 'burpsuite_alternative_scan', 'error_handling_statistics', 'test_error_recovery'] 2026-04-13 16:12:06 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 154 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 🟢 [remote:hexstrike-ai ] nmap_scan 🟢 [remote:hexstrike-ai ] gobuster_scan 🟢 [remote:hexstrike-ai ] nuclei_scan 🟢 [remote:hexstrike-ai ] prowler_scan 🟢 [remote:hexstrike-ai ] trivy_scan 🟢 [remote:hexstrike-ai ] scout_suite_assessment 🟢 [remote:hexstrike-ai ] cloudmapper_analysis 🟢 [remote:hexstrike-ai ] pacu_exploitation 🟢 [remote:hexstrike-ai ] kube_hunter_scan 🟢 [remote:hexstrike-ai ] kube_bench_cis 🟢 [remote:hexstrike-ai ] docker_bench_security_scan 🟢 [remote:hexstrike-ai ] clair_vulnerability_scan 🟢 [remote:hexstrike-ai ] falco_runtime_monitoring 🟢 [remote:hexstrike-ai ] checkov_iac_scan 🟢 [remote:hexstrike-ai ] terrascan_iac_scan 🟢 [remote:hexstrike-ai ] create_file 🟢 [remote:hexstrike-ai ] modify_file 🟢 [remote:hexstrike-ai ] delete_file 🟢 [remote:hexstrike-ai ] list_files 🟢 [remote:hexstrike-ai ] generate_payload 🟢 [remote:hexstrike-ai ] install_python_package 🟢 [remote:hexstrike-ai ] execute_python_script 🟢 [remote:hexstrike-ai ] dirb_scan 🟢 [remote:hexstrike-ai ] nikto_scan 🟢 [remote:hexstrike-ai ] sqlmap_scan 🟢 [remote:hexstrike-ai ] metasploit_run 🟢 [remote:hexstrike-ai ] hydra_attack 🟢 [remote:hexstrike-ai ] john_crack 🟢 [remote:hexstrike-ai ] wpscan_analyze 🟢 [remote:hexstrike-ai ] enum4linux_scan 🟢 [remote:hexstrike-ai ] ffuf_scan 🟢 [remote:hexstrike-ai ] netexec_scan 🟢 [remote:hexstrike-ai ] amass_scan 🟢 [remote:hexstrike-ai ] hashcat_crack 🟢 [remote:hexstrike-ai ] subfinder_scan 🟢 [remote:hexstrike-ai ] smbmap_scan 🟢 [remote:hexstrike-ai ] rustscan_fast_scan 🟢 [remote:hexstrike-ai ] masscan_high_speed 🟢 [remote:hexstrike-ai ] nmap_advanced_scan 🟢 [remote:hexstrike-ai ] autorecon_comprehensive 🟢 [remote:hexstrike-ai ] enum4linux_ng_advanced 🟢 [remote:hexstrike-ai ] rpcclient_enumeration 🟢 [remote:hexstrike-ai ] nbtscan_netbios 🟢 [remote:hexstrike-ai ] arp_scan_discovery 🟢 [remote:hexstrike-ai ] responder_credential_harvest 🟢 [remote:hexstrike-ai ] volatility_analyze 🟢 [remote:hexstrike-ai ] msfvenom_generate 🟢 [remote:hexstrike-ai ] gdb_analyze 🟢 [remote:hexstrike-ai ] radare2_analyze 🟢 [remote:hexstrike-ai ] binwalk_analyze 🟢 [remote:hexstrike-ai ] ropgadget_search 🟢 [remote:hexstrike-ai ] checksec_analyze 🟢 [remote:hexstrike-ai ] xxd_hexdump 🟢 [remote:hexstrike-ai ] strings_extract 🟢 [remote:hexstrike-ai ] objdump_analyze 🟢 [remote:hexstrike-ai ] ghidra_analysis 🟢 [remote:hexstrike-ai ] pwntools_exploit 🟢 [remote:hexstrike-ai ] one_gadget_search 🟢 [remote:hexstrike-ai ] libc_database_lookup 🟢 [remote:hexstrike-ai ] gdb_peda_debug 🟢 [remote:hexstrike-ai ] angr_symbolic_execution 🟢 [remote:hexstrike-ai ] ropper_gadget_search 🟢 [remote:hexstrike-ai ] pwninit_setup 🟢 [remote:hexstrike-ai ] feroxbuster_scan 🟢 [remote:hexstrike-ai ] dotdotpwn_scan 🟢 [remote:hexstrike-ai ] xsser_scan 🟢 [remote:hexstrike-ai ] wfuzz_scan 🟢 [remote:hexstrike-ai ] dirsearch_scan 🟢 [remote:hexstrike-ai ] katana_crawl 🟢 [remote:hexstrike-ai ] gau_discovery 🟢 [remote:hexstrike-ai ] waybackurls_discovery 🟢 [remote:hexstrike-ai ] arjun_parameter_discovery 🟢 [remote:hexstrike-ai ] paramspider_mining 🟢 [remote:hexstrike-ai ] x8_parameter_discovery 🟢 [remote:hexstrike-ai ] jaeles_vulnerability_scan 🟢 [remote:hexstrike-ai ] dalfox_xss_scan 🟢 [remote:hexstrike-ai ] httpx_probe 🟢 [remote:hexstrike-ai ] anew_data_processing 🟢 [remote:hexstrike-ai ] qsreplace_parameter_replacement 🟢 [remote:hexstrike-ai ] uro_url_filtering 🟢 [remote:hexstrike-ai ] ai_generate_payload 🟢 [remote:hexstrike-ai ] ai_test_payload 🟢 [remote:hexstrike-ai ] ai_generate_attack_suite 🟢 [remote:hexstrike-ai ] api_fuzzer 🟢 [remote:hexstrike-ai ] graphql_scanner 🟢 [remote:hexstrike-ai ] jwt_analyzer 🟢 [remote:hexstrike-ai ] api_schema_analyzer 🟢 [remote:hexstrike-ai ] comprehensive_api_audit 🟢 [remote:hexstrike-ai ] volatility3_analyze 🟢 [remote:hexstrike-ai ] foremost_carving 🟢 [remote:hexstrike-ai ] steghide_analysis 🟢 [remote:hexstrike-ai ] exiftool_extract 🟢 [remote:hexstrike-ai ] hashpump_attack 🟢 [remote:hexstrike-ai ] hakrawler_crawl 🟢 [remote:hexstrike-ai ] paramspider_discovery 🟢 [remote:hexstrike-ai ] burpsuite_scan 🟢 [remote:hexstrike-ai ] zap_scan 🟢 [remote:hexstrike-ai ] arjun_scan 🟢 [remote:hexstrike-ai ] wafw00f_scan 🟢 [remote:hexstrike-ai ] fierce_scan 🟢 [remote:hexstrike-ai ] dnsenum_scan 🟢 [remote:hexstrike-ai ] autorecon_scan 🟢 [remote:hexstrike-ai ] server_health 🟢 [remote:hexstrike-ai ] get_cache_stats 🟢 [remote:hexstrike-ai ] clear_cache 🟢 [remote:hexstrike-ai ] get_telemetry 🟢 [remote:hexstrike-ai ] list_active_processes 🟢 [remote:hexstrike-ai ] get_process_status 🟢 [remote:hexstrike-ai ] terminate_process 🟢 [remote:hexstrike-ai ] pause_process 🟢 [remote:hexstrike-ai ] resume_process 🟢 [remote:hexstrike-ai ] get_process_dashboard 🟢 [remote:hexstrike-ai ] execute_command 🟢 [remote:hexstrike-ai ] monitor_cve_feeds 🟢 [remote:hexstrike-ai ] generate_exploit_from_cve 🟢 [remote:hexstrike-ai ] discover_attack_chains 🟢 [remote:hexstrike-ai ] research_zero_day_opportunities 🟢 [remote:hexstrike-ai ] correlate_threat_intelligence 🟢 [remote:hexstrike-ai ] advanced_payload_generation 🟢 [remote:hexstrike-ai ] vulnerability_intelligence_dashboard 🟢 [remote:hexstrike-ai ] threat_hunting_assistant 🟢 [remote:hexstrike-ai ] get_live_dashboard 🟢 [remote:hexstrike-ai ] create_vulnerability_report 🟢 [remote:hexstrike-ai ] format_tool_output_visual 🟢 [remote:hexstrike-ai ] create_scan_summary 🟢 [remote:hexstrike-ai ] display_system_metrics 🟢 [remote:hexstrike-ai ] analyze_target_intelligence 🟢 [remote:hexstrike-ai ] select_optimal_tools_ai 🟢 [remote:hexstrike-ai ] optimize_tool_parameters_ai 🟢 [remote:hexstrike-ai ] create_attack_chain_ai 🟢 [remote:hexstrike-ai ] intelligent_smart_scan 🟢 [remote:hexstrike-ai ] detect_technologies_ai 🟢 [remote:hexstrike-ai ] ai_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] ai_vulnerability_assessment 🟢 [remote:hexstrike-ai ] bugbounty_reconnaissance_workflow 🟢 [remote:hexstrike-ai ] bugbounty_vulnerability_hunting 🟢 [remote:hexstrike-ai ] bugbounty_business_logic_testing 🟢 [remote:hexstrike-ai ] bugbounty_osint_gathering 🟢 [remote:hexstrike-ai ] bugbounty_file_upload_testing 🟢 [remote:hexstrike-ai ] bugbounty_comprehensive_assessment 🟢 [remote:hexstrike-ai ] bugbounty_authentication_bypass_testing 🟢 [remote:hexstrike-ai ] http_framework_test 🟢 [remote:hexstrike-ai ] browser_agent_inspect 🟢 [remote:hexstrike-ai ] http_set_rules 🟢 [remote:hexstrike-ai ] http_set_scope 🟢 [remote:hexstrike-ai ] http_repeater 🟢 [remote:hexstrike-ai ] http_intruder 🟢 [remote:hexstrike-ai ] burpsuite_alternative_scan 🟢 [remote:hexstrike-ai ] error_handling_statistics 🟢 [remote:hexstrike-ai ] test_error_recovery 2026-04-13 16:12:42 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-13 16:12:42 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-13 16:12:42 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-13 16:12:50 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-13 16:12:50 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-13 16:12:50 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-13 16:12:50 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-13 16:12:50 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-13 16:12:50 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-13 16:12:50 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-13 16:12:50 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=48433 2026-04-15 15:34:11 [WARNING ] agent.TOOL.SSHDocker │ ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 2026-04-15 15:34:11 [WARNING ] agent.mcp.SkillLoader │ 未在opencli-autofix发现SKILL.md文件 2026-04-15 15:34:11 [WARNING ] agent.mcp.SkillLoader │ 未在opencli-browser发现SKILL.md文件 2026-04-15 15:34:11 [WARNING ] agent.mcp.SkillLoader │ 未在opencli-explorer发现SKILL.md文件 2026-04-15 15:34:11 [WARNING ] agent.mcp.SkillLoader │ 未在opencli-oneshot发现SKILL.md文件 2026-04-15 15:34:11 [WARNING ] agent.mcp.SkillLoader │ 未在opencli-usage发现SKILL.md文件 2026-04-15 15:34:11 [WARNING ] agent.mcp.SkillLoader │ 未在smart-search发现SKILL.md文件 2026-04-15 15:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 15:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 15:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 15:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 15:34:11 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-15 15:34:11 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-15 15:34:11 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:34:11 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=19704 2026-04-15 15:34:11 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:34:12 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:34:12 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:34:13 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=14668 2026-04-15 15:34:13 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:34:15 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:34:15 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:34:15 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=13920 2026-04-15 15:34:15 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:34:15 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:34:15 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-15 15:34:15 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-15 15:34:16 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 4 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 2026-04-15 15:35:21 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-15 15:35:23 [WARNING ] agent.TOOL.SSHDocker │ ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 15:35:23 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 15:35:23 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 15:35:23 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 15:35:23 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:35:23 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=19588 2026-04-15 15:35:23 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:35:24 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:35:24 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:35:24 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=19208 2026-04-15 15:35:24 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:35:26 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:35:26 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:35:26 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=19680 2026-04-15 15:35:26 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:35:26 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:35:26 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-15 15:35:26 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 6 个 ['opencli-autofix', 'opencli-browser', 'opencli-explorer', 'opencli-oneshot', 'opencli-usage', 'smart-search'] 2026-04-15 15:44:33 [WARNING ] agent.TOOL.SSHDocker │ ⚠️ paramiko 未安装，请执行: pip install paramiko>=3.0.0 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 15:44:33 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-autofix', 'description': 'Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through diagnosing the failure via OPENCLI_DIAGNOSTIC, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.', 'allowed-tools': 'Bash(opencli:*), Bash(gh:*), Read, Edit, Write'} 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 15:44:33 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-browser', 'description': 'Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.', 'allowed-tools': 'Bash(opencli:*), Read, Edit, Write'} 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 15:44:33 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-explorer', 'description': 'Use when creating a new OpenCLI adapter from scratch, adding support for a new website or platform, exploring a site\'s API endpoints via browser DevTools, or when a user asks to automatically generate a CLI for a website (e.g. "帮我生成 xxx.com 的 cli"). Covers automated generation, API discovery workflow, authentication strategy selection, TS adapter writing, and testing.', 'tags': ['opencli', 'adapter', 'browser', 'api-discovery', 'cli', 'web-scraping', 'automation', 'generate']} 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 15:44:33 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-oneshot', 'description': 'Use when quickly generating a single OpenCLI command from a specific URL and goal description. 4-step process — open page, capture API, write TS adapter, test. For full site exploration, use opencli-explorer instead.', 'tags': ['opencli', 'adapter', 'quick-start', 'ts', 'cli', 'one-shot', 'automation']} 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 15:44:33 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-usage', 'description': 'Use when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv). Covers installation, command reference, and output formats for 87+ adapters.', 'version': '1.7.0', 'author': 'jackwener', 'tags': ['opencli', 'cli', 'browser', 'web', 'chrome-extension', 'cdp', 'bilibili', 'twitter', 'reddit', 'xiaohongshu', 'github', 'youtube', 'AI', 'agent', 'automation']} 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 15:44:33 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'smart-search', 'description': '基于 opencli 命令的智能搜索路由器。当用户想要搜索、查询、查找或研究信息时，尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时，务必使用此 skill'} 2026-04-15 15:44:33 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 15:44:33 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 15:44:33 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 15:44:33 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:44:33 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=19376 2026-04-15 15:44:33 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:44:34 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:44:34 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:44:34 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=18048 2026-04-15 15:44:34 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:44:36 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:44:36 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 15:44:36 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=19960 2026-04-15 15:44:36 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 15:44:36 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 15:44:36 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-15 15:44:36 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-15 15:44:37 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 4 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 2026-04-15 16:09:20 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:09:20 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-autofix', 'description': 'Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through diagnosing the failure via OPENCLI_DIAGNOSTIC, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.', 'allowed-tools': 'Bash(opencli:*), Bash(gh:*), Read, Edit, Write'} 2026-04-15 16:09:20 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 16:09:20 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-browser', 'description': 'Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.', 'allowed-tools': 'Bash(opencli:*), Read, Edit, Write'} 2026-04-15 16:09:20 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 16:09:20 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-explorer', 'description': 'Use when creating a new OpenCLI adapter from scratch, adding support for a new website or platform, exploring a site\'s API endpoints via browser DevTools, or when a user asks to automatically generate a CLI for a website (e.g. "帮我生成 xxx.com 的 cli"). Covers automated generation, API discovery workflow, authentication strategy selection, TS adapter writing, and testing.', 'tags': ['opencli', 'adapter', 'browser', 'api-discovery', 'cli', 'web-scraping', 'automation', 'generate']} 2026-04-15 16:09:20 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 16:09:20 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-oneshot', 'description': 'Use when quickly generating a single OpenCLI command from a specific URL and goal description. 4-step process — open page, capture API, write TS adapter, test. For full site exploration, use opencli-explorer instead.', 'tags': ['opencli', 'adapter', 'quick-start', 'ts', 'cli', 'one-shot', 'automation']} 2026-04-15 16:09:20 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 16:09:20 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-usage', 'description': 'Use when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv). Covers installation, command reference, and output formats for 87+ adapters.', 'version': '1.7.0', 'author': 'jackwener', 'tags': ['opencli', 'cli', 'browser', 'web', 'chrome-extension', 'cdp', 'bilibili', 'twitter', 'reddit', 'xiaohongshu', 'github', 'youtube', 'AI', 'agent', 'automation']} 2026-04-15 16:09:20 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 16:09:20 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'smart-search', 'description': '基于 opencli 命令的智能搜索路由器。当用户想要搜索、查询、查找或研究信息时，尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时，务必使用此 skill'} 2026-04-15 16:09:28 [INFO ] agent.MCP.SkillRegistry │ 🔧 注册本地工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] 2026-04-15 16:10:46 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:10:46 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-autofix', 'description': 'Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through diagnosing the failure via OPENCLI_DIAGNOSTIC, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.', 'allowed-tools': 'Bash(opencli:*), Bash(gh:*), Read, Edit, Write'} 2026-04-15 16:10:46 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 16:10:46 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-browser', 'description': 'Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.', 'allowed-tools': 'Bash(opencli:*), Read, Edit, Write'} 2026-04-15 16:10:46 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 16:10:46 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-explorer', 'description': 'Use when creating a new OpenCLI adapter from scratch, adding support for a new website or platform, exploring a site\'s API endpoints via browser DevTools, or when a user asks to automatically generate a CLI for a website (e.g. "帮我生成 xxx.com 的 cli"). Covers automated generation, API discovery workflow, authentication strategy selection, TS adapter writing, and testing.', 'tags': ['opencli', 'adapter', 'browser', 'api-discovery', 'cli', 'web-scraping', 'automation', 'generate']} 2026-04-15 16:10:46 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 16:10:46 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-oneshot', 'description': 'Use when quickly generating a single OpenCLI command from a specific URL and goal description. 4-step process — open page, capture API, write TS adapter, test. For full site exploration, use opencli-explorer instead.', 'tags': ['opencli', 'adapter', 'quick-start', 'ts', 'cli', 'one-shot', 'automation']} 2026-04-15 16:10:46 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 16:10:46 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-usage', 'description': 'Use when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv). Covers installation, command reference, and output formats for 87+ adapters.', 'version': '1.7.0', 'author': 'jackwener', 'tags': ['opencli', 'cli', 'browser', 'web', 'chrome-extension', 'cdp', 'bilibili', 'twitter', 'reddit', 'xiaohongshu', 'github', 'youtube', 'AI', 'agent', 'automation']} 2026-04-15 16:10:46 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 16:10:46 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'smart-search', 'description': '基于 opencli 命令的智能搜索路由器。当用户想要搜索、查询、查找或研究信息时，尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时，务必使用此 skill'} 2026-04-15 16:10:46 [INFO ] agent.MCP.SkillRegistry │ 🔧 注册本地工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] 2026-04-15 16:10:53 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 16:10:58 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 16:10:58 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 16:10:58 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:12:30 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-autofix', 'description': 'Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through diagnosing the failure via OPENCLI_DIAGNOSTIC, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.', 'allowed-tools': 'Bash(opencli:*), Bash(gh:*), Read, Edit, Write'} 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 16:12:30 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-browser', 'description': 'Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.', 'allowed-tools': 'Bash(opencli:*), Read, Edit, Write'} 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 16:12:30 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-explorer', 'description': 'Use when creating a new OpenCLI adapter from scratch, adding support for a new website or platform, exploring a site\'s API endpoints via browser DevTools, or when a user asks to automatically generate a CLI for a website (e.g. "帮我生成 xxx.com 的 cli"). Covers automated generation, API discovery workflow, authentication strategy selection, TS adapter writing, and testing.', 'tags': ['opencli', 'adapter', 'browser', 'api-discovery', 'cli', 'web-scraping', 'automation', 'generate']} 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 16:12:30 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-oneshot', 'description': 'Use when quickly generating a single OpenCLI command from a specific URL and goal description. 4-step process — open page, capture API, write TS adapter, test. For full site exploration, use opencli-explorer instead.', 'tags': ['opencli', 'adapter', 'quick-start', 'ts', 'cli', 'one-shot', 'automation']} 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 16:12:30 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-usage', 'description': 'Use when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv). Covers installation, command reference, and output formats for 87+ adapters.', 'version': '1.7.0', 'author': 'jackwener', 'tags': ['opencli', 'cli', 'browser', 'web', 'chrome-extension', 'cdp', 'bilibili', 'twitter', 'reddit', 'xiaohongshu', 'github', 'youtube', 'AI', 'agent', 'automation']} 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 16:12:30 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'smart-search', 'description': '基于 opencli 命令的智能搜索路由器。当用户想要搜索、查询、查找或研究信息时，尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时，务必使用此 skill'} 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 🔧 注册本地工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] 2026-04-15 16:12:30 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 16:12:30 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 16:12:30 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 16:12:30 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-15 16:12:30 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:12:33 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=18196 2026-04-15 16:12:37 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: [Errno 22] Invalid argument 2026-04-15 16:12:38 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:12:38 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:12:38 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=14612 2026-04-15 16:12:38 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:12:40 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:12:40 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:12:40 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=7028 2026-04-15 16:12:40 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:12:40 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:12:40 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-15 16:12:40 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-15 16:12:42 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 4 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 2026-04-15 16:19:35 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-15 16:22:01 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:22:04 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-autofix', 'description': 'Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through diagnosing the failure via OPENCLI_DIAGNOSTIC, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.', 'allowed-tools': 'Bash(opencli:*), Bash(gh:*), Read, Edit, Write'} 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 16:22:04 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-browser', 'description': 'Make websites accessible for AI agents. Navigate, click, type, extract, wait — using Chrome with existing login sessions. No LLM API key needed.', 'allowed-tools': 'Bash(opencli:*), Read, Edit, Write'} 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 16:22:04 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-explorer', 'description': 'Use when creating a new OpenCLI adapter from scratch, adding support for a new website or platform, exploring a site\'s API endpoints via browser DevTools, or when a user asks to automatically generate a CLI for a website (e.g. "帮我生成 xxx.com 的 cli"). Covers automated generation, API discovery workflow, authentication strategy selection, TS adapter writing, and testing.', 'tags': ['opencli', 'adapter', 'browser', 'api-discovery', 'cli', 'web-scraping', 'automation', 'generate']} 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 16:22:04 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-oneshot', 'description': 'Use when quickly generating a single OpenCLI command from a specific URL and goal description. 4-step process — open page, capture API, write TS adapter, test. For full site exploration, use opencli-explorer instead.', 'tags': ['opencli', 'adapter', 'quick-start', 'ts', 'cli', 'one-shot', 'automation']} 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 16:22:04 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'opencli-usage', 'description': 'Use when running OpenCLI commands to interact with websites (Bilibili, Twitter, Reddit, Xiaohongshu, etc.), desktop apps (Cursor, Notion), or public APIs (HackerNews, arXiv). Covers installation, command reference, and output formats for 87+ adapters.', 'version': '1.7.0', 'author': 'jackwener', 'tags': ['opencli', 'cli', 'browser', 'web', 'chrome-extension', 'cdp', 'bilibili', 'twitter', 'reddit', 'xiaohongshu', 'github', 'youtube', 'AI', 'agent', 'automation']} 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 16:22:04 [WARNING ] agent.MCP.SkillRegistry │ ⚠️ 工具实例缺少 name 属性，跳过: {'name': 'smart-search', 'description': '基于 opencli 命令的智能搜索路由器。当用户想要搜索、查询、查找或研究信息时，尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时，务必使用此 skill'} 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 🔧 注册本地工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] 2026-04-15 16:22:04 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 16:22:04 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 16:22:04 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 16:22:04 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:22:04 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=16812 2026-04-15 16:22:04 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:22:05 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:22:05 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:22:05 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=20244 2026-04-15 16:22:05 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:22:07 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:22:07 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:22:08 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=18752 2026-04-15 16:22:08 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:22:08 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:22:08 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-15 16:22:08 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 4 个 ['calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-15 16:22:09 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 4 个 最大步数 : 10 工具列表 : 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 2026-04-15 16:22:49 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:29:58 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-autofix 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-browser 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-explorer 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-oneshot 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-usage 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: smart-search 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 🔧 注册本地工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 16:30:00 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:30:00 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=19420 2026-04-15 16:30:00 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:30:01 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:30:01 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:30:01 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=20076 2026-04-15 16:30:01 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:30:03 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:30:03 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:30:03 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=2820 2026-04-15 16:30:03 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:30:03 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:30:03 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-15 16:30:03 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 10 个 ['opencli-autofix', 'opencli-browser', 'opencli-explorer', 'opencli-oneshot', 'opencli-usage', 'smart-search', 'calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-15 16:33:03 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:33:03 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-autofix 2026-04-15 16:33:03 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 16:33:03 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-browser 2026-04-15 16:33:03 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 16:33:03 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-explorer 2026-04-15 16:33:03 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 16:33:03 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-oneshot 2026-04-15 16:33:03 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 16:33:03 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-usage 2026-04-15 16:33:03 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 16:33:03 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: smart-search 2026-04-15 16:33:03 [INFO ] agent.MCP.SkillRegistry │ 🔧 注册本地工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-autofix 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-autofix 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-browser 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-browser 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-explorer 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-explorer 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-oneshot 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-oneshot 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: opencli-usage 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: opencli-usage 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 📦 加载技能: smart-search 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: smart-search 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 🔧 注册本地工具: ['calculator', 'web_search', 'file_reader', 'code_executor'] 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: calculator 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: web_search 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: file_reader 2026-04-15 16:34:11 [DEBUG ] agent.MCP.SkillRegistry │ 📌 注册本地工具: code_executor 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillRegistry │ 🌐 开始连接在线 MCP Skills，数量=1 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillClient │ 🌐 连接在线 MCP Skill: [hexstrike-ai] 传输协议: stdio 地址 : python3 超时 : 300s 重试 : 2 次 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:34:11 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=16664 2026-04-15 16:34:11 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 1/3)，1s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:34:12 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:34:12 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:34:12 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=2384 2026-04-15 16:34:12 [WARNING ] agent.MCP.SkillClient │ ⚠️ 连接失败 (attempt 2/3)，2s 后重试: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:34:14 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:34:14 [INFO ] agent.MCP.SkillClient │ 🔌 stdio 启动子进程: python3 /Users/sontolau/Applications/hexstrike-ai/hexstrike_mcp.py --server http://localhost:8999 2026-04-15 16:34:14 [INFO ] agent.MCP.SkillClient │ ✅ stdio 子进程已启动 PID=13276 2026-04-15 16:34:14 [DEBUG ] agent.MCP.SkillClient │ 🔌 stdio 子进程已关闭 skill=hexstrike-ai 2026-04-15 16:34:14 [ERROR ] agent.MCP.SkillRegistry │ ❌ Skill [hexstrike-ai] 连接失败，跳过 错误: ❌ MCP Skill [hexstrike-ai] 连接失败（已重试 2 次） 最后错误: stdio 子进程无响应 skill=hexstrike-ai method=initialize 2026-04-15 16:34:14 [DEBUG ] agent.MCP.SkillClient │ 🔌 MCP Skill [hexstrike-ai] 已断开 2026-04-15 16:34:14 [INFO ] agent.MCP.SkillRegistry │ 📊 SkillRegistry 初始化完成 本地工具 : 10 个 ['opencli-autofix', 'opencli-browser', 'opencli-explorer', 'opencli-oneshot', 'opencli-usage', 'smart-search', 'calculator', 'web_search', 'file_reader', 'code_executor'] 远端工具 : 0 个 [] 2026-04-15 16:34:15 [INFO ] agent.Agent │ 🤖 Agent 初始化完成 LLM : openai / gpt-4o 工具总数 : 10 个 最大步数 : 10 工具列表 : 🔵 [local ] opencli-autofix 🔵 [local ] opencli-browser 🔵 [local ] opencli-explorer 🔵 [local ] opencli-oneshot 🔵 [local ] opencli-usage 🔵 [local ] smart-search 🔵 [local ] calculator 🔵 [local ] web_search 🔵 [local ] file_reader 🔵 [local ] code_executor 2026-04-15 16:34:20 [INFO ] agent.MCP.SkillRegistry │ 🔌 SkillRegistry 已关闭所有连接