[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