{"type":"session","version":3,"id":"6942f895-0fea-42dc-bc1c-c67d91f9681c","timestamp":"2026-05-06T00:31:10.727Z","cwd":"/root/.openclaw/workspace/fabu"}
{"type":"model_change","id":"362d641e","parentId":null,"timestamp":"2026-05-06T00:31:10.740Z","provider":"deepseek","modelId":"deepseek-chat"}
{"type":"thinking_level_change","id":"d6f4dcd0","parentId":"362d641e","timestamp":"2026-05-06T00:31:10.740Z","thinkingLevel":"off"}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1778027470763,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"cac04529","parentId":"d6f4dcd0","timestamp":"2026-05-06T00:31:10.763Z"}
{"type":"message","id":"9cde5512","parentId":"cac04529","timestamp":"2026-05-06T00:31:10.786Z","message":{"role":"user","content":[{"type":"text","text":"[Wed 2026-05-06 08:31 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion."}],"timestamp":1778027470769}}
{"type":"message","id":"4c09b7c9","parentId":"9cde5512","timestamp":"2026-05-06T00:31:14.985Z","message":{"role":"assistant","content":[{"type":"text","text":"I'll start by checking the prerequisites and then work on both tasks in parallel. Let me first examine the article file and the wechat-api.ts script."},{"type":"toolCall","id":"call_00_KVhrTuO0tylWmT4811DY7510","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/用OpenClaw搭建AI自媒体工作流.md","limit":30}},{"type":"toolCall","id":"call_01_CTuRo1dcDCycF66zaR516756","name":"exec","arguments":{"command":"cat /root/.openclaw/agents/文章大师/workspace/用OpenClaw搭建AI自媒体工作流-2026-05-06-v1.md | head -15"}},{"type":"toolCall","id":"call_02_2bc10oDejBJY6raLun7n0602","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/imgs/cover.jpg 2>/dev/null && echo \"cover exists\" || echo \"cover not found\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":5150,"output":266,"cacheRead":7040,"cacheWrite":0,"totalTokens":12456,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027470787,"responseId":"f158d776-d278-46ad-bf20-d483ca4943fb"}}
{"type":"message","id":"3ab77060","parentId":"4c09b7c9","timestamp":"2026-05-06T00:31:15.134Z","message":{"role":"toolResult","toolCallId":"call_00_KVhrTuO0tylWmT4811DY7510","toolName":"read","content":[{"type":"text","text":"\n# 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n\n## 先说痛点\n\n我做自媒体有一段时间了，公众号、个人博客网站、企业微信都在用。每天的工作流程大概是这样的：\n\n看到一篇好的科技新闻 → 自己判断要不要写 → 构思文章框架 → 查资料写稿 → 配图排版 → 登录公众号后台发布 → 登录博客后台再发一遍 → 企业微信里还有一堆待办和日程要处理\n\n一个人干这些事，精力根本跟不上。很多时候看到好素材，想想后面那一套流程，就放弃了。\n\n我需要一个东西，能让我在飞书上说一句\"写篇文章\"，后面的事情自动跑完。\n\n## 我是怎么搭起来的\n\n我现在的方案是：**OpenClaw + 多智能体系统 + MCP协议。**\n\n听起来很技术，但用起来其实很简单。\n\n### 第一步：注册智能体团队\n\n我在OpenClaw里注册了几个AI智能体，各有分工：\n\n- **选题大师**：负责看新闻、找热点、评估选题价值\n- **文章大师**：根据素材写出完整文章\n- **发布大师**：把文章发到公众号和网站\n- **情报大师**：对接外部数据源，比如金十财经\n- **101协调者**：统管所有智能体的调度\n\n每个智能体有自己的\"工作区\"，文章写完后存在独立目录，数据流转清晰。\n\n[75 more lines in file. Use offset=31 to continue.]"}],"isError":false,"timestamp":1778027475134}}
{"type":"message","id":"6e376fe3","parentId":"3ab77060","timestamp":"2026-05-06T00:31:15.134Z","message":{"role":"toolResult","toolCallId":"call_01_CTuRo1dcDCycF66zaR516756","toolName":"exec","content":[{"type":"text","text":"---\ntitle: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\ndate: 2026-05-06\ncover_category: ai-robot\n---\n\n# 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n\n## 先说痛点\n\n我做自媒体有一段时间了，公众号、个人博客网站、企业微信都在用。每天的工作流程大概是这样的：\n\n看到一篇好的科技新闻 → 自己判断要不要写 → 构思文章框架 → 查资料写稿 → 配图排版 → 登录公众号后台发布 → 登录博客后台再发一遍 → 企业微信里还有一堆待办和日程要处理\n\n一个人干这些事，精力根本跟不上。很多时候看到好素材，想想后面那一套流程，就放弃了。"}],"details":{"status":"completed","exitCode":0,"durationMs":34,"aggregated":"---\ntitle: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\ndate: 2026-05-06\ncover_category: ai-robot\n---\n\n# 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n\n## 先说痛点\n\n我做自媒体有一段时间了，公众号、个人博客网站、企业微信都在用。每天的工作流程大概是这样的：\n\n看到一篇好的科技新闻 → 自己判断要不要写 → 构思文章框架 → 查资料写稿 → 配图排版 → 登录公众号后台发布 → 登录博客后台再发一遍 → 企业微信里还有一堆待办和日程要处理\n\n一个人干这些事，精力根本跟不上。很多时候看到好素材，想想后面那一套流程，就放弃了。","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027475134}}
{"type":"message","id":"9c11eff5","parentId":"6e376fe3","timestamp":"2026-05-06T00:31:15.135Z","message":{"role":"toolResult","toolCallId":"call_02_2bc10oDejBJY6raLun7n0602","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/imgs/cover.jpg\ncover exists"}],"details":{"status":"completed","exitCode":0,"durationMs":80,"aggregated":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/imgs/cover.jpg\ncover exists","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027475134}}
{"type":"message","id":"6fce9c96","parentId":"9c11eff5","timestamp":"2026-05-06T00:31:18.241Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, both the article and cover exist. Let me check the wechat-api.ts script and the md2html.py script, and also look for existing publish scripts."},{"type":"toolCall","id":"call_00_5gOawi4X3ZGpPaNwPc3E7232","name":"exec","arguments":{"command":"find /root/.openclaw -name \"wechat-api.ts\" -type f 2>/dev/null"}},{"type":"toolCall","id":"call_01_zXrR6RfRrgqUmMM8nmfk7581","name":"exec","arguments":{"command":"find ~/.openclaw -name \"md2html.py\" -type f 2>/dev/null"}},{"type":"toolCall","id":"call_02_sxaQCmLp5xjwVIRhifQa9280","name":"exec","arguments":{"command":"find /root/.openclaw -name \"publish-*.js\" -o -name \"zbpublish*\" -o -name \"zblog*\" -type f 2>/dev/null | head -20"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":832,"output":222,"cacheRead":12160,"cacheWrite":0,"totalTokens":13214,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027475135,"responseId":"62b5062a-47e1-4276-a1c1-6b3d23691892"}}
{"type":"message","id":"3bb92d99","parentId":"6fce9c96","timestamp":"2026-05-06T00:31:19.406Z","message":{"role":"toolResult","toolCallId":"call_00_5gOawi4X3ZGpPaNwPc3E7232","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":1101,"aggregated":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027479406}}
{"type":"message","id":"6bb8e7a6","parentId":"3bb92d99","timestamp":"2026-05-06T00:31:19.406Z","message":{"role":"toolResult","toolCallId":"call_01_zXrR6RfRrgqUmMM8nmfk7581","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/发布大师/workspace/scripts/md2html.py"}],"details":{"status":"completed","exitCode":0,"durationMs":1112,"aggregated":"/root/.openclaw/agents/发布大师/workspace/scripts/md2html.py","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027479406}}
{"type":"message","id":"b47c8e77","parentId":"6bb8e7a6","timestamp":"2026-05-06T00:31:19.406Z","message":{"role":"toolResult","toolCallId":"call_02_sxaQCmLp5xjwVIRhifQa9280","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/workspace/fabu/publish-商业短信.js\n/root/.openclaw/workspace/fabu/publish-china-oss-ai.js\n/root/.openclaw/workspace/fabu/publish-印尼支付.js\n/root/.openclaw/workspace/fabu/publish-美军AI.js\n/root/.openclaw/workspace/fabu/publish-manus.js\n/root/.openclaw/workspace/fabu/publish-印尼支付-v2.js\n/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4Muon.js\n/root/.openclaw/agents/发布大师/workspace/publish-deepseek-v4.js\n/root/.openclaw/agents/发布大师/workspace/publish-办公三大CLI.js\n/root/.openclaw/agents/发布大师/workspace/publish-黄仁勋激辩芯片出口.js\n/root/.openclaw/agents/发布大师/workspace/publish-wecom-5.0.8.js\n/root/.openclaw/agents/发布大师/workspace/publish-time-ai-2026.js\n/root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/zblog-xmlrpc.mjs\n/root/.openclaw/agents/发布大师/workspace/publish-openclaw-deepseekv4.js\n/root/.openclaw/agents/发布大师/workspace/publish-visual-china.js\n/root/.openclaw/agents/发布大师/workspace/publish-ai-100-v2.js\n/root/.openclaw/agents/发布大师/workspace/publish-tuike-daiding.js\n/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4百炼.js\n/root/.openclaw/agents/发布大师/workspace/publish-xiaomi-mimo-100t.js\n/root/.openclaw/agents/发布大师/workspace/publish-time-ai-2026-v2.js"}],"details":{"status":"completed","exitCode":0,"durationMs":1089,"aggregated":"/root/.openclaw/workspace/fabu/publish-商业短信.js\n/root/.openclaw/workspace/fabu/publish-china-oss-ai.js\n/root/.openclaw/workspace/fabu/publish-印尼支付.js\n/root/.openclaw/workspace/fabu/publish-美军AI.js\n/root/.openclaw/workspace/fabu/publish-manus.js\n/root/.openclaw/workspace/fabu/publish-印尼支付-v2.js\n/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4Muon.js\n/root/.openclaw/agents/发布大师/workspace/publish-deepseek-v4.js\n/root/.openclaw/agents/发布大师/workspace/publish-办公三大CLI.js\n/root/.openclaw/agents/发布大师/workspace/publish-黄仁勋激辩芯片出口.js\n/root/.openclaw/agents/发布大师/workspace/publish-wecom-5.0.8.js\n/root/.openclaw/agents/发布大师/workspace/publish-time-ai-2026.js\n/root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/zblog-xmlrpc.mjs\n/root/.openclaw/agents/发布大师/workspace/publish-openclaw-deepseekv4.js\n/root/.openclaw/agents/发布大师/workspace/publish-visual-china.js\n/root/.openclaw/agents/发布大师/workspace/publish-ai-100-v2.js\n/root/.openclaw/agents/发布大师/workspace/publish-tuike-daiding.js\n/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4百炼.js\n/root/.openclaw/agents/发布大师/workspace/publish-xiaomi-mimo-100t.js\n/root/.openclaw/agents/发布大师/workspace/publish-time-ai-2026-v2.js","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027479406}}
{"type":"message","id":"9210721e","parentId":"b47c8e77","timestamp":"2026-05-06T00:31:21.789Z","message":{"role":"assistant","content":[{"type":"text","text":"There's existing zblog publish scripts. Let me look at one for reference and also inspect the wechat-api.ts script."},{"type":"toolCall","id":"call_00_yBO6ZpSwN4TQ1ZgQMGmX8767","name":"read","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/zblog-xmlrpc.mjs"}},{"type":"toolCall","id":"call_01_rZHHIYcZZ5yKFDqQRNp00824","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":571,"output":155,"cacheRead":13184,"cacheWrite":0,"totalTokens":13910,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027479407,"responseId":"cadbd958-11cf-4aca-a7eb-f932fe089923"}}
{"type":"message","id":"3972a219","parentId":"9210721e","timestamp":"2026-05-06T00:31:21.846Z","message":{"role":"toolResult","toolCallId":"call_00_yBO6ZpSwN4TQ1ZgQMGmX8767","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env node\n\nimport xmlrpc from 'xmlrpc';\nimport { readFileSync } from 'node:fs';\nimport yaml from 'yaml';\nimport { homedir } from 'node:os';\nimport { join } from 'node:path';\n\nconst { createClient, createSecureClient } = xmlrpc;\nconst { parse } = yaml;\n\n// 解析命令行参数\nfunction parseArgs() {\n  const args = process.argv.slice(2);\n  const result = {};\n  \n  for (let i = 0; i < args.length; i++) {\n    if (args[i].startsWith('--')) {\n      const key = args[i].slice(2);\n      const value = args[i + 1] && !args[i + 1].startsWith('--') ? args[i + 1] : true;\n      result[key] = value;\n      if (value !== true) i++;\n    } else if (!result.command) {\n      result.command = args[i];\n    }\n  }\n  return result;\n}\n\n// 读取环境变量\nfunction getEnvVar(key) {\n  return process.env[`ZBLOG_${key}`] || process.env[key];\n}\n\n// 检查连接\nasync function checkConnection(endpoint, username, password, blogId = 1) {\n  return new Promise((resolve, reject) => {\n    // 根据协议选择客户端\n    const client = endpoint.startsWith('https://') \n      ? createSecureClient(endpoint)\n      : createClient(endpoint);\n    \n    // Z-Blog使用Blogger API\n    client.methodCall('blogger.getUsersBlogs', ['', username, password], (error, value) => {\n      if (error) {\n        reject(new Error(`连接失败: ${error.message}`));\n      } else if (Array.isArray(value) && value.length > 0) {\n        const blog = value.find(b => b.blogid == blogId) || value[0];\n        resolve({\n          success: true,\n          blogName: blog.blogName,\n          url: blog.url,\n          blogId: blog.blogid\n        });\n      } else {\n        reject(new Error('认证失败或博客不存在'));\n      }\n    });\n  });\n}\n\n// 发布文章\nasync function publishArticle(options) {\n  const {\n    endpoint,\n    username,\n    password,\n    blogId = 1,\n    title,\n    content,\n    categories = [],\n    tags = [],\n    excerpt = '',\n    slug = '',\n    draft = false\n  } = options;\n\n  return new Promise((resolve, reject) => {\n    // 根据协议选择客户端\n    const client = endpoint.startsWith('https://') \n      ? createSecureClient(endpoint)\n      : createClient(endpoint);\n    \n    // Z-Blog可能使用metaWeblog API\n    const post = {\n      title: title,\n      description: content,\n      categories: categories\n    };\n\n    // 先尝试metaWeblog.newPost\n    client.methodCall('metaWeblog.newPost', [blogId, username, password, post, draft], (error, postId) => {\n      if (error) {\n        // 如果失败，尝试blogger.newPost\n        console.error('metaWeblog.newPost失败，尝试blogger.newPost:', error.message);\n        client.methodCall('blogger.newPost', [blogId, username, password, content, draft], (error2, postId2) => {\n          if (error2) {\n            reject(new Error(`发布失败: ${error2.message}`));\n          } else {\n            resolve({\n              success: true,\n              postId: postId2,\n              status: draft ? 'draft' : 'published',\n              message: `文章已${draft ? '保存为草稿' : '发布'}，ID: ${postId2}`\n            });\n          }\n        });\n      } else {\n        resolve({\n          success: true,\n          postId,\n          status: draft ? 'draft' : 'published',\n          message: `文章已${draft ? '保存为草稿' : '发布'}，ID: ${postId}`\n        });\n      }\n    });\n  });\n}\n\n// 解析Markdown front matter\nfunction parseMarkdownFrontMatter(content) {\n  const lines = content.split('\\n');\n  if (lines[0] !== '---') return { content, frontMatter: {} };\n  \n  let i = 1;\n  const frontMatterLines = [];\n  while (i < lines.length && lines[i] !== '---') {\n    frontMatterLines.push(lines[i]);\n    i++;\n  }\n  \n  const frontMatterText = frontMatterLines.join('\\n');\n  const frontMatter = parse(frontMatterText) || {};\n  \n  // 提取正文（跳过front matter）\n  const body = lines.slice(i + 1).join('\\n');\n  \n  return { content: body, frontMatter };\n}\n\n// 读取HTML文件\nfunction readHtmlFile(filePath) {\n  const content = readFileSync(filePath, 'utf-8');\n  // 尝试从HTML中提取标题\n  const titleMatch = content.match(/<title>(.*?)<\\/title>/i) || content.match(/<h1[^>]*>(.*?)<\\/h1>/i);\n  const title = titleMatch ? titleMatch[1].trim() : path.basename(filePath, '.html');\n  \n  return {\n    content: content,\n    frontMatter: { title: title },\n    isHtml: true\n  };\n}\n\n// 主函数\nasync function main() {\n  const args = parseArgs();\n  \n  if (args.command === 'check') {\n    // 检查连接\n    const endpoint = args.endpoint || getEnvVar('ENDPOINT');\n    const username = args.username || getEnvVar('USERNAME');\n    const password = args.password || getEnvVar('PASSWORD');\n    const blogId = args['blog-id'] || getEnvVar('BLOG_ID') || 1;\n    \n    if (!endpoint || !username || !password) {\n      console.error('缺少必要参数: --endpoint, --username, --password');\n      console.error('或设置环境变量: ZBLOG_ENDPOINT, ZBLOG_USERNAME, ZBLOG_PASSWORD');\n      process.exit(1);\n    }\n    \n    try {\n      const result = await checkConnection(endpoint, username, password, blogId);\n      console.log(JSON.stringify(result, null, 2));\n    } catch (error) {\n      console.error(JSON.stringify({ success: false, error: error.message }, null, 2));\n      process.exit(1);\n    }\n    \n  } else if (args.command === 'publish') {\n    // 发布文章\n    const endpoint = args.endpoint || getEnvVar('ENDPOINT');\n    const username = args.username || getEnvVar('USERNAME');\n    const password = args.password || getEnvVar('PASSWORD');\n    const blogId = args['blog-id'] || getEnvVar('BLOG_ID') || 1;\n    const markdownFile = args['markdown-file'];\n    \n    if (!endpoint || !username || !password || !markdownFile) {\n      console.error('缺少必要参数: --endpoint, --username, --password, --markdown-file');\n      process.exit(1);\n    }\n    \n    try {\n      // 读取文件（支持Markdown和HTML）\n      const fileExt = path.extname(markdownFile).toLowerCase();\n      let body, frontMatter, isHtml = false;\n      \n      if (fileExt === '.html' || fileExt === '.htm') {\n        const result = readHtmlFile(markdownFile);\n        body = result.content;\n        frontMatter = result.frontMatter;\n        isHtml = true;\n      } else {\n        const markdownContent = readFileSync(markdownFile, 'utf-8');\n        const parsed = parseMarkdownFrontMatter(markdownContent);\n        body = parsed.content;\n        frontMatter = parsed.frontMatter;\n      }\n      \n      // 确定标题（优先级：命令行参数 > front matter > 第一个H1 > 文件名）\n      let title = args.title || frontMatter.title;\n      if (!title) {\n        const h1Match = body.match(/^#\\s+(.+)$/m);\n        if (h1Match) {\n          title = h1Match[1];\n        } else {\n          title = markdownFile.split('/').pop().replace(/\\.md$/, '');\n        }\n      }\n      \n      // 分类和标签\n      let categories = args.categories ? args.categories.split(',').map(c => c.trim()) : [];\n      if (!categories.length && frontMatter.categories) {\n        categories = Array.isArray(frontMatter.categories) \n          ? frontMatter.categories \n          : [frontMatter.categories];\n      }\n      \n      let tags = args.tags ? args.tags.split(',').map(t => t.trim()) : [];\n      if (!tags.length && frontMatter.tags) {\n        tags = Array.isArray(frontMatter.tags) \n          ? frontMatter.tags \n          : frontMatter.tags.split(',').map(t => t.trim());\n      }\n      \n      // 其他参数\n      const excerpt = args.excerpt || frontMatter.excerpt || '';\n      const slug = args.slug || frontMatter.slug || '';\n      const draft = args.draft !== undefined ? args.draft : frontMatter.draft || false;\n      \n      const result = await publishArticle({\n        endpoint,\n        username,\n        password,\n        blogId,\n        title,\n        content: body,\n        categories,\n        tags,\n        excerpt,\n        slug,\n        draft\n      });\n      \n      console.log(JSON.stringify(result, null, 2));\n      \n    } catch (error) {\n      console.error(JSON.stringify({ success: false, error: error.message }, null, 2));\n      process.exit(1);\n    }\n    \n  } else {\n    console.log(`\nZ-Blog XML-RPC 客户端\n\n用法:\n  node zblog-xmlrpc.mjs check --endpoint <url> --username <user> --password *** [--blog-id <id>]\n  node zblog-xmlrpc.mjs publish --markdown-file <path> --endpoint <url> --username <user> --password *** [options]\n\n选项:\n  --endpoint      XML-RPC 端点地址 (如 https://example.com/zb_system/xml-rpc/index.php)\n  --username      用户名\n  --password      ***\n  --blog-id       博客ID (默认: 1)\n  --markdown-file Markdown 文件路径\n  --title         覆盖标题\n  --categories    逗号分隔的分类\n  --tags          逗号分隔的标签\n  --excerpt       摘要\n  --slug          别名\n  --draft         保存为草稿\n\n环境变量:\n  ZBLOG_ENDPOINT, ZBLOG_USERNAME, ZBLOG_PASSWORD, ZBLOG_BLOG_ID\n    `);\n    process.exit(1);\n  }\n}\n\n// 运行主函数\nif (import.meta.url === `file://${process.argv[1]}`) {\n  main().catch(error => {\n    console.error('致命错误:', error.message);\n    process.exit(1);\n  });\n}\n\n// 导出main函数\nexport { main };"}],"isError":false,"timestamp":1778027481845}}
{"type":"message","id":"17439957","parentId":"3972a219","timestamp":"2026-05-06T00:31:21.847Z","message":{"role":"toolResult","toolCallId":"call_01_rZHHIYcZZ5yKFDqQRNp00824","toolName":"read","content":[{"type":"text","text":"import fs from \"node:fs\";\nimport path from \"node:path\";\nimport { spawnSync } from \"node:child_process\";\nimport { fileURLToPath } from \"node:url\";\nimport { loadWechatExtendConfig, resolveAccount, loadCredentials } from \"./wechat-extend-config.ts\";\n\ninterface AccessTokenResponse {\n  access_token?: string;\n  errcode?: number;\n  errmsg?: string;\n}\n\ninterface UploadResponse {\n  media_id: string;\n  url: string;\n  errcode?: number;\n  errmsg?: string;\n}\n\ninterface PublishResponse {\n  media_id?: string;\n  errcode?: number;\n  errmsg?: string;\n}\n\ninterface ImageInfo {\n  placeholder: string;\n  localPath: string;\n  originalPath: string;\n}\n\ninterface MarkdownRenderResult {\n  title: string;\n  author: string;\n  summary: string;\n  htmlPath: string;\n  contentImages: ImageInfo[];\n}\n\ntype ArticleType = \"news\" | \"newspic\";\n\ninterface ArticleOptions {\n  title: string;\n  author?: string;\n  digest?: string;\n  content: string;\n  thumbMediaId: string;\n  articleType: ArticleType;\n  imageMediaIds?: string[];\n  needOpenComment?: number;\n  onlyFansCanComment?: number;\n}\n\nconst TOKEN_URL = \"https://api.weixin.qq.com/cgi-bin/token\";\nconst UPLOAD_URL = \"https://api.weixin.qq.com/cgi-bin/material/add_material\";\nconst DRAFT_URL = \"https://api.weixin.qq.com/cgi-bin/draft/add\";\n\n\nasync function fetchAccessToken(appId: string, appSecret: string): Promise<string> {\n  const url = `${TOKEN_URL}?grant_type=client_credential&appid=${appId}&secret=***\n  const res = await fetch(url);\n  if (!res.ok) {\n    throw new Error(`Failed to fetch access token: ${res.status}`);\n  }\n  const data = await res.json() as AccessTokenResponse;\n  if (data.errcode) {\n    throw new Error(`Access token error ${data.errcode}: ${data.errmsg}`);\n  }\n  if (!data.access_token) {\n    throw new Error(\"No access_token in response\");\n  }\n  return data.access_token;\n}\n\nasync function uploadImage(\n  imagePath: string,\n  accessToken: string,\n  baseDir?: string\n): Promise<UploadResponse> {\n  let fileBuffer: Buffer;\n  let filename: string;\n  let contentType: string;\n\n  if (imagePath.startsWith(\"http://\") || imagePath.startsWith(\"https://\")) {\n    const response = await fetch(imagePath);\n    if (!response.ok) {\n      throw new Error(`Failed to download image: ${imagePath}`);\n    }\n    const buffer = await response.arrayBuffer();\n    if (buffer.byteLength === 0) {\n      throw new Error(`Remote image is empty: ${imagePath}`);\n    }\n    fileBuffer = Buffer.from(buffer);\n    const urlPath = imagePath.split(\"?\")[0];\n    filename = path.basename(urlPath) || \"image.jpg\";\n    contentType = response.headers.get(\"content-type\") || \"image/jpeg\";\n  } else {\n    const resolvedPath = path.isAbsolute(imagePath)\n      ? imagePath\n      : path.resolve(baseDir || process.cwd(), imagePath);\n\n    if (!fs.existsSync(resolvedPath)) {\n      throw new Error(`Image not found: ${resolvedPath}`);\n    }\n    const stats = fs.statSync(resolvedPath);\n    if (stats.size === 0) {\n      throw new Error(`Local image is empty: ${resolvedPath}`);\n    }\n    fileBuffer = fs.readFileSync(resolvedPath);\n    filename = path.basename(resolvedPath);\n    const ext = path.extname(filename).toLowerCase();\n    const mimeTypes: Record<string, string> = {\n      \".jpg\": \"image/jpeg\",\n      \".jpeg\": \"image/jpeg\",\n      \".png\": \"image/png\",\n      \".gif\": \"image/gif\",\n      \".webp\": \"image/webp\",\n    };\n    contentType = mimeTypes[ext] || \"image/jpeg\";\n  }\n\n  const boundary = `----WebKitFormBoundary${Date.now().toString(16)}`;\n  const header = [\n    `--${boundary}`,\n    `Content-Disposition: form-data; name=\"media\"; filename=\"${filename}\"`,\n    `Content-Type: ${contentType}`,\n    \"\",\n    \"\",\n  ].join(\"\\r\\n\");\n  const footer = `\\r\\n--${boundary}--\\r\\n`;\n\n  const headerBuffer = Buffer.from(header, \"utf-8\");\n  const footerBuffer = Buffer.from(footer, \"utf-8\");\n  const body = Buffer.concat([headerBuffer, fileBuffer, footerBuffer]);\n\n  const url = `${UPLOAD_URL}?access_token=***&type=image`;\n  const res = await fetch(url, {\n    method: \"POST\",\n    headers: {\n      \"Content-Type\": `multipart/form-data; boundary=${boundary}`,\n    },\n    body,\n  });\n\n  const data = await res.json() as UploadResponse;\n  if (data.errcode && data.errcode !== 0) {\n    throw new Error(`Upload failed ${data.errcode}: ${data.errmsg}`);\n  }\n\n  if (data.url?.startsWith(\"http://\")) {\n    data.url = data.url.replace(/^http:\\/\\//i, \"https://\");\n  }\n\n  return data;\n}\n\nasync function uploadImagesInHtml(\n  html: string,\n  accessToken: string,\n  baseDir: string,\n  contentImages: ImageInfo[] = [],\n): Promise<{ html: string; firstMediaId: string; allMediaIds: string[] }> {\n  const imgRegex = /<img[^>]*\\ssrc=[\"']([^\"']+)[\"'][^>]*>/gi;\n  const matches = [...html.matchAll(imgRegex)];\n\n  if (matches.length === 0 && contentImages.length === 0) {\n    return { html, firstMediaId: \"\", allMediaIds: [] };\n  }\n\n  let firstMediaId = \"\";\n  let updatedHtml = html;\n  const allMediaIds: string[] = [];\n  const uploadedBySource = new Map<string, UploadResponse>();\n\n  for (const match of matches) {\n    const [fullTag, src] = match;\n    if (!src) continue;\n\n    if (src.startsWith(\"https://mmbiz.qpic.cn\")) {\n      if (!firstMediaId) {\n        firstMediaId = src;\n      }\n      continue;\n    }\n\n    const localPathMatch = fullTag.match(/data-local-path=[\"']([^\"']+)[\"']/);\n    const imagePath = localPathMatch ? localPathMatch[1]! : src;\n\n    console.error(`[wechat-api] Uploading image: ${imagePath}`);\n    try {\n      let resp = uploadedBySource.get(imagePath);\n      if (!resp) {\n        resp = await uploadImage(imagePath, accessToken, baseDir);\n        uploadedBySource.set(imagePath, resp);\n      }\n      const newTag = fullTag\n        .replace(/\\ssrc=[\"'][^\"']+[\"']/, ` src=\"${resp.url}\"`)\n        .replace(/\\sdata-local-path=[\"'][^\"']+[\"']/, \"\");\n      updatedHtml = updatedHtml.replace(fullTag, newTag);\n      allMediaIds.push(resp.media_id);\n      if (!firstMediaId) {\n        firstMediaId = resp.media_id;\n      }\n    } catch (err) {\n      console.error(`[wechat-api] Failed to upload ${imagePath}:`, err);\n    }\n  }\n\n  for (const image of contentImages) {\n    if (!updatedHtml.includes(image.placeholder)) continue;\n\n    const imagePath = image.localPath || image.originalPath;\n    console.error(`[wechat-api] Uploading placeholder image: ${imagePath}`);\n\n    try {\n      let resp = uploadedBySource.get(imagePath);\n      if (!resp) {\n        resp = await uploadImage(imagePath, accessToken, baseDir);\n        uploadedBySource.set(imagePath, resp);\n      }\n\n      const replacementTag = `<img src=\"${resp.url}\" style=\"display: block; width: 100%; margin: 1.5em auto;\">`;\n      updatedHtml = replaceAllPlaceholders(updatedHtml, image.placeholder, replacementTag);\n      allMediaIds.push(resp.media_id);\n      if (!firstMediaId) {\n        firstMediaId = resp.media_id;\n      }\n    } catch (err) {\n      console.error(`[wechat-api] Failed to upload placeholder ${image.placeholder}:`, err);\n    }\n  }\n\n  return { html: updatedHtml, firstMediaId, allMediaIds };\n}\n\nasync function publishToDraft(\n  options: ArticleOptions,\n  accessToken: string\n): Promise<PublishResponse> {\n  const url = `${DRAFT_URL}?access_token=***\n\n  let article: Record<string, unknown>;\n\n  const noc = options.needOpenComment ?? 1;\n  const ofcc = options.onlyFansCanComment ?? 0;\n\n  if (options.articleType === \"newspic\") {\n    if (!options.imageMediaIds || options.imageMediaIds.length === 0) {\n      throw new Error(\"newspic requires at least one image\");\n    }\n    article = {\n      article_type: \"newspic\",\n      title: options.title,\n      content: options.content,\n      need_open_comment: noc,\n      only_fans_can_comment: ofcc,\n      image_info: {\n        image_list: options.imageMediaIds.map(id => ({ image_media_id: id })),\n      },\n    };\n    if (options.author) article.author = options.author;\n  } else {\n    article = {\n      article_type: \"news\",\n      title: options.title,\n      content: options.content,\n      thumb_media_id: options.thumbMediaId,\n      need_open_comment: noc,\n      only_fans_can_comment: ofcc,\n    };\n    if (options.author) article.author = options.author;\n    if (options.digest) article.digest = options.digest;\n  }\n\n  const res = await fetch(url, {\n    method: \"POST\",\n    headers: {\n      \"Content-Type\": \"application/json\",\n    },\n    body: JSON.stringify({ articles: [article] }),\n  });\n\n  const data = await res.json() as PublishResponse;\n  if (data.errcode && data.errcode !== 0) {\n    throw new Error(`Publish failed ${data.errcode}: ${data.errmsg}`);\n  }\n\n  return data;\n}\n\nfunction parseFrontmatter(content: string): { frontmatter: Record<string, string>; body: string } {\n  const match = content.match(/^\\s*---\\r?\\n([\\s\\S]*?)\\r?\\n---\\r?\\n?([\\s\\S]*)$/);\n  if (!match) return { frontmatter: {}, body: content };\n\n  const frontmatter: Record<string, string> = {};\n  const lines = match[1]!.split(\"\\n\");\n  for (const line of lines) {\n    const colonIdx = line.indexOf(\":\");\n    if (colonIdx > 0) {\n      const key = line.slice(0, colonIdx).trim();\n      let value = line.slice(colonIdx + 1).trim();\n      if ((value.startsWith('\"') && value.endsWith('\"')) ||\n          (value.startsWith(\"'\") && value.endsWith(\"'\"))) {\n        value = value.slice(1, -1);\n      }\n      frontmatter[key] = value;\n    }\n  }\n\n  return { frontmatter, body: match[2]! };\n}\n\nfunction renderMarkdownWithPlaceholders(\n  markdownPath: string,\n  theme: string = \"default\",\n  color?: string,\n  citeStatus: boolean = true,\n  title?: string,\n): MarkdownRenderResult {\n  const __filename = fileURLToPath(import.meta.url);\n  const __dirname = path.dirname(__filename);\n  const mdToWechatScript = path.join(__dirname, \"md-to-wechat.ts\");\n  const baseDir = path.dirname(markdownPath);\n\n  const args = [\"-y\", \"bun\", mdToWechatScript, markdownPath];\n  if (title) args.push(\"--title\", title);\n  if (theme) args.push(\"--theme\", theme);\n  if (color) args.push(\"--color\", color);\n  if (!citeStatus) args.push(\"--no-cite\");\n\n  console.error(`[wechat-api] Rendering markdown with placeholders via md-to-wechat: ${theme}${color ? `, color: ${color}` : \"\"}, citeStatus: ${citeStatus}`);\n  const result = spawnSync(\"npx\", args, {\n    stdio: [\"inherit\", \"pipe\", \"pipe\"],\n    cwd: baseDir,\n  });\n\n  if (result.status !== 0) {\n    const stderr = result.stderr?.toString() || \"\";\n    throw new Error(`Markdown placeholder render failed: ${stderr}`);\n  }\n\n  const stdout = result.stdout?.toString() || \"\";\n  return JSON.parse(stdout) as MarkdownRenderResult;\n}\n\nfunction replaceAllPlaceholders(html: string, placeholder: string, replacement: string): string {\n  const escapedPlaceholder = placeholder.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\");\n  return html.replace(new RegExp(escapedPlaceholder, \"g\"), replacement);\n}\n\nfunction extractHtmlContent(htmlPath: string): string {\n  const html = fs.readFileSync(htmlPath, \"utf-8\");\n  const match = html.match(/<div id=\"output\">([\\s\\S]*?)<\\/div>\\s*<\\/body>/);\n  if (match) {\n    return match[1]!.trim();\n  }\n  const bodyMatch = html.match(/<body[^>]*>([\\s\\S]*?)<\\/body>/i);\n  return bodyMatch ? bodyMatch[1]!.trim() : html;\n}\n\nfunction printUsage(): never {\n  console.log(`Publish article to WeChat Official Account draft using API\n\nUsage:\n  npx -y bun wechat-api.ts <file> [options]\n\nArguments:\n  file                Markdown (.md) or HTML (.html) file\n\nOptions:\n  --type <type>       Article type: news (文章, default) or newspic (图文)\n  --title <title>     Override title\n  --author <name>     Author name (max 16 chars)\n  --summary <text>    Article summary/digest (max 128 chars)\n  --theme <name>      Theme name for markdown (default, grace, simple, modern). Default: default\n  --color <name|hex>  Primary color (blue, green, vermilion, etc. or hex)\n  --cover <path>      Cover image path (local or URL)\n  --account <alias>   Select account by alias (for multi-account setups)\n\n⚠️ [... middle content omitted — showing head and tail ...]\n\n    htmlContent = extractHtmlContent(htmlPath);\n  }\n\n  if (!title) {\n    console.error(\"Error: No title found. Provide via --title, frontmatter, or <title> tag.\");\n    process.exit(1);\n  }\n\n  if (digest && digest.length > 120) {\n    const truncated = digest.slice(0, 117);\n    const lastPunct = Math.max(truncated.lastIndexOf(\"。\"), truncated.lastIndexOf(\"，\"), truncated.lastIndexOf(\"；\"), truncated.lastIndexOf(\"、\"));\n    digest = lastPunct > 80 ? truncated.slice(0, lastPunct + 1) : truncated + \"...\";\n    console.error(`[wechat-api] Digest truncated to ${digest.length} chars`);\n  }\n\n  console.error(`[wechat-api] Title: ${title}`);\n  if (author) console.error(`[wechat-api] Author: ${author}`);\n  if (digest) console.error(`[wechat-api] Digest: ${digest.slice(0, 50)}...`);\n  console.error(`[wechat-api] Type: ${args.articleType}`);\n\n  const extConfig = loadWechatExtendConfig();\n  const resolved = resolveAccount(extConfig, args.account);\n  if (resolved.name) console.error(`[wechat-api] Account: ${resolved.name} (${resolved.alias})`);\n\n  if (!author && resolved.default_author) author = resolved.default_author;\n\n  if (args.dryRun) {\n    console.log(JSON.stringify({\n      articleType: args.articleType,\n      title,\n      author: author || undefined,\n      digest: digest || undefined,\n      htmlPath,\n      contentLength: htmlContent.length,\n      placeholderImageCount: contentImages.length || undefined,\n      account: resolved.alias || undefined,\n    }, null, 2));\n    return;\n  }\n\n  const creds = loadCredentials(resolved);\n  console.error(\"[wechat-api] Fetching access token...\");\n  const accessToken = await fetchAccessToken(creds.appId, creds.appSecret);\n\n  console.error(\"[wechat-api] Uploading images...\");\n  const { html: processedHtml, firstMediaId, allMediaIds } = await uploadImagesInHtml(\n    htmlContent,\n    accessToken,\n    baseDir,\n    contentImages,\n  );\n  htmlContent = processedHtml;\n\n  let thumbMediaId = \"\";\n  const rawCoverPath = args.cover ||\n    frontmatter.coverImage ||\n    frontmatter.featureImage ||\n    frontmatter.cover ||\n    frontmatter.image;\n  const coverPath = rawCoverPath && !path.isAbsolute(rawCoverPath) && args.cover\n    ? path.resolve(process.cwd(), rawCoverPath)\n    : rawCoverPath;\n\n  if (coverPath) {\n    console.error(`[wechat-api] Uploading cover: ${coverPath}`);\n    const coverResp = await uploadImage(coverPath, accessToken, baseDir);\n    thumbMediaId = coverResp.media_id;\n  } else if (firstMediaId) {\n    if (firstMediaId.startsWith(\"https://\")) {\n      console.error(`[wechat-api] Uploading first image as cover: ${firstMediaId}`);\n      const coverResp = await uploadImage(firstMediaId, accessToken, baseDir);\n      thumbMediaId = coverResp.media_id;\n    } else {\n      thumbMediaId = firstMediaId;\n    }\n  }\n\n  if (args.articleType === \"news\" && !thumbMediaId) {\n    console.error(\"Error: No cover image. Provide via --cover, frontmatter.coverImage, or include an image in content.\");\n    process.exit(1);\n  }\n\n  if (args.articleType === \"newspic\" && allMediaIds.length === 0) {\n    console.error(\"Error: newspic requires at least one image in content.\");\n    process.exit(1);\n  }\n\n  console.error(\"[wechat-api] Publishing to draft...\");\n  const result = await publishToDraft({\n    title,\n    author: author || undefined,\n    digest: digest || undefined,\n    content: htmlContent,\n    thumbMediaId,\n    articleType: args.articleType,\n    imageMediaIds: args.articleType === \"newspic\" ? allMediaIds : undefined,\n    needOpenComment: resolved.need_open_comment,\n    onlyFansCanComment: resolved.only_fans_can_comment,\n  }, accessToken);\n\n  console.log(JSON.stringify({\n    success: true,\n    media_id: result.media_id,\n    title,\n    articleType: args.articleType,\n  }, null, 2));\n\n  console.error(`[wechat-api] Published successfully! media_id: ${result.media_id}`);\n}\n\nawait main().catch((err) => {\n  console.error(`Error: ${err instanceof Error ? err.message : String(err)}`);\n  process.exit(1);\n});\n[... 5641 more characters truncated]"}],"isError":false,"timestamp":1778027481845}}
{"type":"message","id":"e5e22092","parentId":"17439957","timestamp":"2026-05-06T00:31:27.573Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I have a good understanding of both systems. Let me start both tasks. For Task A, I'll publish to WeChat Official Account. For Task B, I need to convert markdown to HTML and then publish to Z-Blog.\n\nLet me first run Task A (WeChat) and Task B step 1 (md2html) in parallel."},{"type":"toolCall","id":"call_00_HspwpuFL3lGJqFY1ATPi5157","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06 && \\\nWECHAT_APP_ID=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f \\\nnpx -y bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts \\\n\"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/用OpenClaw搭建AI自媒体工作流.md\" \\\n--theme default --color blue --author \"ai张三疯\" --cover /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/imgs/cover.jpg 2>&1","timeout":120}},{"type":"toolCall","id":"call_01_7jt8w5oJodMwPxkWalmI1631","name":"exec","arguments":{"command":"python3 ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py \\\n  /root/.openclaw/agents/文章大师/workspace/用OpenClaw搭建AI自媒体工作流-2026-05-06-v1.md \\\n  -o /tmp/publish-openclaw-workflow.html 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":8510,"output":443,"cacheRead":13824,"cacheWrite":0,"totalTokens":22777,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027481848,"responseId":"169cb283-0784-4751-b2a6-f40e867b06aa"}}
{"type":"message","id":"5d2bbbac","parentId":"e5e22092","timestamp":"2026-05-06T00:31:37.637Z","message":{"role":"toolResult","toolCallId":"call_00_HspwpuFL3lGJqFY1ATPi5157","toolName":"exec","content":[{"type":"text","text":"Command still running (session mellow-bison, pid 3925219). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"mellow-bison","pid":3925219,"startedAt":1778027487603,"cwd":"/root/.openclaw/workspace/fabu","tail":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-V5Tkqb/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 我做自媒体有一段时间了，公众号、个人博客网站、企业微信都在用。每天的工作流程大概是这样的：...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/imgs/cover.jpg\n[wechat-api] Publishing to draft...\n"},"isError":false,"timestamp":1778027497636}}
{"type":"message","id":"0c6518cb","parentId":"5d2bbbac","timestamp":"2026-05-06T00:31:37.637Z","message":{"role":"toolResult","toolCallId":"call_01_7jt8w5oJodMwPxkWalmI1631","toolName":"exec","content":[{"type":"text","text":"HTML 已保存到: /tmp/publish-openclaw-workflow.html\n标题: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道"}],"details":{"status":"completed","exitCode":0,"durationMs":208,"aggregated":"HTML 已保存到: /tmp/publish-openclaw-workflow.html\n标题: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027497636}}
{"type":"message","id":"9f9b0b99","parentId":"0c6518cb","timestamp":"2026-05-06T00:31:40.216Z","message":{"role":"assistant","content":[{"type":"text","text":"Task B step 1 (md2html) is done. Let me wait for Task A to complete and check the HTML output."},{"type":"toolCall","id":"call_00_sxvFaGYRom4kJpeZ5TRG6155","name":"process","arguments":{"action":"poll","sessionId":"mellow-bison","timeout":60000}},{"type":"toolCall","id":"call_01_DzsrfIdi3t506EmVE1v64785","name":"read","arguments":{"path":"/tmp/publish-openclaw-workflow.html","limit":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":213,"output":160,"cacheRead":22656,"cacheWrite":0,"totalTokens":23029,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027497638,"responseId":"2d16ec12-f655-42e7-988c-a1ffceab6582"}}
{"type":"message","id":"38694956","parentId":"9f9b0b99","timestamp":"2026-05-06T00:31:40.272Z","message":{"role":"toolResult","toolCallId":"call_00_sxvFaGYRom4kJpeZ5TRG6155","toolName":"process","content":[{"type":"text","text":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-V5Tkqb/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 我做自媒体有一段时间了，公众号、个人博客网站、企业微信都在用。每天的工作流程大概是这样的：...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/imgs/cover.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfjJ4RljpP8i243HnhHTGfOqCOkPttHlSR7mGfMOpbgA2\",\n  \"title\": \"用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfjJ4RljpP8i243HnhHTGfOqCOkPttHlSR7mGfMOpbgA2\n\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"mellow-bison","exitCode":0,"aggregated":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-V5Tkqb/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 我做自媒体有一段时间了，公众号、个人博客网站、企业微信都在用。每天的工作流程大概是这样的：...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-06/imgs/cover.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfjJ4RljpP8i243HnhHTGfOqCOkPttHlSR7mGfMOpbgA2\",\n  \"title\": \"用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfjJ4RljpP8i243HnhHTGfOqCOkPttHlSR7mGfMOpbgA2\n","name":"cd /root/.openclaw/agents...t-to-wechat/2026-05-06"},"isError":false,"timestamp":1778027500272}}
{"type":"message","id":"003349e9","parentId":"38694956","timestamp":"2026-05-06T00:31:40.273Z","message":{"role":"toolResult","toolCallId":"call_01_DzsrfIdi3t506EmVE1v64785","toolName":"read","content":[{"type":"text","text":"<h1>用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道</h1>\n<h2 id=\"_1\">先说痛点</h2>\n<p>我做自媒体有一段时间了，公众号、个人博客网站、企业微信都在用。每天的工作流程大概是这样的：</p>\n<p>看到一篇好的科技新闻 → 自己判断要不要写 → 构思文章框架 → 查资料写稿 → 配图排版 → 登录公众号后台发布 → 登录博客后台再发一遍 → 企业微信里还有一堆待办和日程要处理</p>\n<p>一个人干这些事，精力根本跟不上。很多时候看到好素材，想想后面那一套流程，就放弃了。</p>\n<p>我需要一个东西，能让我在飞书上说一句\"写篇文章\"，后面的事情自动跑完。</p>\n<h2 id=\"_2\">我是怎么搭起来的</h2>\n<p>我现在的方案是：<strong>OpenClaw + 多智能体系统 + MCP协议。</strong></p>\n<p>听起来很技术，但用起来其实很简单。</p>\n<h3 id=\"_3\">第一步：注册智能体团队</h3>\n<p>我在OpenClaw里注册了几个AI智能体，各有分工：</p>\n<ul>\n<li><strong>选题大师</strong>：负责看新闻、找热点、评估选题价值</li>\n<li><strong>文章大师</strong>：根据素材写出完整文章</li>\n<li><strong>发布大师</strong>：把文章发到公众号和网站</li>\n<li><strong>情报大师</strong>：对接外部数据源，比如金十财经</li>\n<li><strong>101协调者</strong>：统管所有智能体的调度</li>\n</ul>\n<p>每个智能体有自己的\"工作区\"，文章写完后存在独立目录，数据流转清晰。</p>\n<h3 id=\"im\">第二步：打通IM通道</h3>\n<p>OpenClaw支持对接多个IM平台，我接了两个：</p>\n<ul>\n<li><strong>飞书</strong>：日常主要聊天、发指令、接收推送的通道</li>\n<li><strong>企业微信</strong>：管理日程、会议、待办，还有企业级联系人</li>\n</ul>\n<p>现在我在飞书上发条消息给101，它就自动调度文章大师写稿，再调发布大师发布，全程不需要我登录任何后台。</p>\n<h3 id=\"_4\">第三步：配了几个自动化任务</h3>\n<p>OpenClaw内置了cron定时任务系统，我配了两个自动推送：</p>\n<ul>\n<li><strong>金十数据快报</strong>：每小时整点自动从金十数据抓取财经快报，推送到我飞书</li>\n\n[48 more lines in file. Use offset=31 to continue.]"}],"isError":false,"timestamp":1778027500272}}
{"type":"message","id":"d6c1aec5","parentId":"003349e9","timestamp":"2026-05-06T00:31:44.952Z","message":{"role":"assistant","content":[{"type":"text","text":"**Task A (公众号) 已完成！** `media_id: imBwNhfy9Uv4ps2luE5gfjJ4RljpP8i243HnhHTGfOqCOkPttHlSR7mGfMOpbgA2`\n\nNow let me proceed with Task B - publishing to Z-Blog. I'll use the existing zblog-xmlrpc.mjs script."},{"type":"toolCall","id":"call_00_09Lt7VSAJ1vL6BUkFmwT3123","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher && \\\nZBLOG_ENDPOINT=\"https://weixinsiwei.com/zb_system/xml-rpc/index.php\" \\\nZBLOG_USERNAME=\"admin\" \\\nZBLOG_PASSWORD=\"135269zxj\" \\\nZBLOG_BLOG_ID=\"68ba1ff10060dd54f1e399b8e332bdba\" \\\nnode zblog-xmlrpc.mjs publish \\\n  --markdown-file /tmp/publish-openclaw-workflow.html \\\n  --title \"用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\" \\\n  --endpoint \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\" \\\n  --username \"admin\" \\\n  --password \"135269zxj\" \\\n  --blog-id \"68ba1ff10060dd54f1e399b8e332bdba\" 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1155,"output":365,"cacheRead":22912,"cacheWrite":0,"totalTokens":24432,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027500274,"responseId":"c61945a9-4e10-4927-94d5-6cef442d088b"}}
{"type":"message","id":"ff707d53","parentId":"d6c1aec5","timestamp":"2026-05-06T00:31:45.141Z","message":{"role":"toolResult","toolCallId":"call_00_09Lt7VSAJ1vL6BUkFmwT3123","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"details":{"status":"completed","exitCode":0,"durationMs":160,"aggregated":"","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027505141}}
{"type":"message","id":"918955d0","parentId":"ff707d53","timestamp":"2026-05-06T00:31:48.586Z","message":{"role":"assistant","content":[{"type":"text","text":"No output, let me check if it succeeded. The script may just need the import fix since it uses top-level `path` without importing it. Let me check the error."},{"type":"toolCall","id":"call_00_12eD1u0dASjMzAigCizC1376","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher && \\\nnode zblog-xmlrpc.mjs publish \\\n  --markdown-file /tmp/publish-openclaw-workflow.html \\\n  --title \"用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\" \\\n  --endpoint \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\" \\\n  --username \"admin\" \\\n  --password \"135269zxj\" \\\n  --blog-id \"68ba1ff10060dd54f1e399b8e332bdba\" 2>&1; echo \"EXIT: $?\"","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":126,"output":246,"cacheRead":24320,"cacheWrite":0,"totalTokens":24692,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027505142,"responseId":"a0e0cb09-18c7-4f7d-80ee-bf8dabaead00"}}
{"type":"message","id":"64c4e69b","parentId":"918955d0","timestamp":"2026-05-06T00:31:48.738Z","message":{"role":"toolResult","toolCallId":"call_00_12eD1u0dASjMzAigCizC1376","toolName":"exec","content":[{"type":"text","text":"EXIT: 0"}],"details":{"status":"completed","exitCode":0,"durationMs":116,"aggregated":"EXIT: 0","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027508738}}
{"type":"message","id":"a18ae444","parentId":"64c4e69b","timestamp":"2026-05-06T00:31:57.676Z","message":{"role":"assistant","content":[{"type":"text","text":"Exit code 0 but no output. The script seems to have a missing `path` import at line 117. Let me just create a dedicated publish script for this."},{"type":"toolCall","id":"call_00_eVXXs8Otz4XXLL1Yftgy7186","name":"write","arguments":{"path":"/tmp/publish-openclaw-workflow-site.js","content":"import { createSecureClient } from 'xmlrpc';\nimport { readFileSync } from 'node:fs';\n\nconst endpoint = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst username = 'admin';\nconst password = '135269zxj';\nconst blogId = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst htmlContent = readFileSync('/tmp/publish-openclaw-workflow.html', 'utf-8');\nconst title = '用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道';\n\n// Wrap HTML in a full document for WeChat-style rendering\nconst fullHtml = `<!DOCTYPE html>\n<html>\n<head><meta charset=\"utf-8\"><title>${title}</title></head>\n<body>${htmlContent}</body>\n</html>`;\n\nconst client = createSecureClient(endpoint);\n\n// First try metaWeblog.newPost\nconst post = {\n  title: title,\n  description: fullHtml,\n  categories: ['AI', '自媒体']\n};\n\nclient.methodCall('metaWeblog.newPost', [blogId, username, password, post, false], (error, postId) => {\n  if (error) {\n    console.error('metaWeblog.newPost failed:', error.message);\n    // Try blogger.newPost\n    client.methodCall('blogger.newPost', [blogId, username, password, fullHtml, false], (error2, postId2) => {\n      if (error2) {\n        console.error('blogger.newPost failed:', error2.message);\n        process.exit(1);\n      } else {\n        console.log(JSON.stringify({ success: true, postId: postId2, method: 'blogger.newPost' }));\n        \n        // Verify with getRecentPosts\n        client.methodCall('metaWeblog.getRecentPosts', [blogId, username, password, 5], (err3, posts) => {\n          if (!err3 && Array.isArray(posts)) {\n            const latest = posts[0];\n            console.log(JSON.stringify({ \n              verified: true, \n              latestPostTitle: latest?.title,\n              latestPostId: latest?.postid || latest?.link\n            }));\n          } else {\n            console.log(JSON.stringify({ verified: false, note: 'Could not verify' }));\n          }\n          process.exit(0);\n        });\n      }\n    });\n  } else {\n    console.log(JSON.stringify({ success: true, postId, method: 'metaWeblog.newPost' }));\n    \n    // Verify\n    client.methodCall('metaWeblog.getRecentPosts', [blogId, username, password, 5], (err3, posts) => {\n      if (!err3 && Array.isArray(posts)) {\n        const latest = posts[0];\n        console.log(JSON.stringify({ \n          verified: true, \n          latestPostTitle: latest?.title,\n          latestPostId: latest?.postid || latest?.link\n        }));\n      }\n      process.exit(0);\n    });\n  }\n});\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":133,"output":750,"cacheRead":24576,"cacheWrite":0,"totalTokens":25459,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027508740,"responseId":"c7108e7e-52c0-49f0-af4d-6d58c065fe63"}}
{"type":"message","id":"9f63be87","parentId":"a18ae444","timestamp":"2026-05-06T00:31:57.716Z","message":{"role":"toolResult","toolCallId":"call_00_eVXXs8Otz4XXLL1Yftgy7186","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2439 bytes to /tmp/publish-openclaw-workflow-site.js"}],"isError":false,"timestamp":1778027517716}}
{"type":"message","id":"51511fef","parentId":"9f63be87","timestamp":"2026-05-06T00:31:59.726Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_ZupMRKgOAvNxhYGcuPBG4450","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher && \\\nnode /tmp/publish-openclaw-workflow-site.js 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":146,"output":100,"cacheRead":25344,"cacheWrite":0,"totalTokens":25590,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027517717,"responseId":"39741f34-bc1e-45b7-b397-e89d63616331"}}
{"type":"message","id":"db74f5c5","parentId":"51511fef","timestamp":"2026-05-06T00:31:59.812Z","message":{"role":"toolResult","toolCallId":"call_00_ZupMRKgOAvNxhYGcuPBG4450","toolName":"exec","content":[{"type":"text","text":"node:internal/modules/package_json_reader:314\n  throw new ERR_MODULE_NOT_FOUND(packageName, fileURLToPath(base), null);\n        ^\n\nError [ERR_MODULE_NOT_FOUND]: Cannot find package 'xmlrpc' imported from /tmp/publish-openclaw-workflow-site.js\n    at Object.getPackageJSONURL (node:internal/modules/package_json_reader:314:9)\n    at packageResolve (node:internal/modules/esm/resolve:768:81)\n    at moduleResolve (node:internal/modules/esm/resolve:855:18)\n    at defaultResolve (node:internal/modules/esm/resolve:985:11)\n    at #cachedDefaultResolve (node:internal/modules/esm/loader:731:20)\n    at ModuleLoader.resolve (node:internal/modules/esm/loader:708:38)\n    at ModuleLoader.getModuleJobForImport (node:internal/modules/esm/loader:310:38)\n    at ModuleJob._link (node:internal/modules/esm/module_job:182:49) {\n  code: 'ERR_MODULE_NOT_FOUND'\n}\n\nNode.js v22.22.1\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":61,"aggregated":"node:internal/modules/package_json_reader:314\n  throw new ERR_MODULE_NOT_FOUND(packageName, fileURLToPath(base), null);\n        ^\n\nError [ERR_MODULE_NOT_FOUND]: Cannot find package 'xmlrpc' imported from /tmp/publish-openclaw-workflow-site.js\n    at Object.getPackageJSONURL (node:internal/modules/package_json_reader:314:9)\n    at packageResolve (node:internal/modules/esm/resolve:768:81)\n    at moduleResolve (node:internal/modules/esm/resolve:855:18)\n    at defaultResolve (node:internal/modules/esm/resolve:985:11)\n    at #cachedDefaultResolve (node:internal/modules/esm/loader:731:20)\n    at ModuleLoader.resolve (node:internal/modules/esm/loader:708:38)\n    at ModuleLoader.getModuleJobForImport (node:internal/modules/esm/loader:310:38)\n    at ModuleJob._link (node:internal/modules/esm/module_job:182:49) {\n  code: 'ERR_MODULE_NOT_FOUND'\n}\n\nNode.js v22.22.1\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027519812}}
{"type":"message","id":"8347b4e2","parentId":"db74f5c5","timestamp":"2026-05-06T00:32:02.418Z","message":{"role":"assistant","content":[{"type":"text","text":"Need to run from the directory where xmlrpc is installed. Let me check."},{"type":"toolCall","id":"call_00_OGw3beXfGlbSZnGKhnjc6393","name":"exec","arguments":{"command":"find /root/.openclaw/agents/发布大师 -name \"node_modules\" -type d 2>/dev/null | head -5"}},{"type":"toolCall","id":"call_01_i7y8RggKRKjjkxNbI7BO2319","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/node_modules/xmlrpc 2>/dev/null && echo \"found\" || echo \"not found\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":400,"output":161,"cacheRead":25472,"cacheWrite":0,"totalTokens":26033,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027519813,"responseId":"50545044-6fe6-4800-b8aa-d9df54b935b5"}}
{"type":"message","id":"78b79912","parentId":"8347b4e2","timestamp":"2026-05-06T00:32:02.528Z","message":{"role":"toolResult","toolCallId":"call_00_OGw3beXfGlbSZnGKhnjc6393","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/node_modules\n/root/.openclaw/agents/发布大师/workspace/node_modules"}],"details":{"status":"completed","exitCode":0,"durationMs":32,"aggregated":"/root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/node_modules\n/root/.openclaw/agents/发布大师/workspace/node_modules","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027522528}}
{"type":"message","id":"6426fdb5","parentId":"78b79912","timestamp":"2026-05-06T00:32:02.528Z","message":{"role":"toolResult","toolCallId":"call_01_i7y8RggKRKjjkxNbI7BO2319","toolName":"exec","content":[{"type":"text","text":"HISTORY.md\nlib\nLICENSE\npackage.json\nREADME.md\ntmp\nfound"}],"details":{"status":"completed","exitCode":0,"durationMs":73,"aggregated":"HISTORY.md\nlib\nLICENSE\npackage.json\nREADME.md\ntmp\nfound","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027522528}}
{"type":"message","id":"4daebac8","parentId":"6426fdb5","timestamp":"2026-05-06T00:32:05.024Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, it's there. Let me fix the script to run from that directory."},{"type":"toolCall","id":"call_00_oEpYfNqSq1JmjFaskjzc7228","name":"exec","arguments":{"command":"cp /tmp/publish-openclaw-workflow-site.js /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/publish-openclaw-workflow-site.js && \\\ncd /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher && \\\nnode publish-openclaw-workflow-site.js 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":129,"output":159,"cacheRead":25984,"cacheWrite":0,"totalTokens":26272,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027522530,"responseId":"c8220a8a-0b0d-4b48-8b39-5da5c69b5696"}}
{"type":"message","id":"d4dfe20d","parentId":"4daebac8","timestamp":"2026-05-06T00:32:05.116Z","message":{"role":"toolResult","toolCallId":"call_00_oEpYfNqSq1JmjFaskjzc7228","toolName":"exec","content":[{"type":"text","text":"file:///root/.openclaw/agents/%E5%8F%91%E5%B8%83%E5%A4%A7%E5%B8%88/workspace/openclaw-zblog-markdown-publisher/publish-openclaw-workflow-site.js:1\nimport { createSecureClient } from 'xmlrpc';\n         ^^^^^^^^^^^^^^^^^^\nSyntaxError: Named export 'createSecureClient' not found. The requested module 'xmlrpc' is a CommonJS module, which may not support all module.exports as named exports.\nCommonJS modules can always be imported via the default export, for example using:\n\nimport pkg from 'xmlrpc';\nconst { createSecureClient } = pkg;\n\n    at ModuleJob._instantiate (node:internal/modules/esm/module_job:226:21)\n    at async ModuleJob.run (node:internal/modules/esm/module_job:335:5)\n    at async onImport.tracePromise.__proto__ (node:internal/modules/esm/loader:665:26)\n    at async asyncRunEntryPointWithESMLoader (node:internal/modules/run_main:117:5)\n\nNode.js v22.22.1\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":67,"aggregated":"file:///root/.openclaw/agents/%E5%8F%91%E5%B8%83%E5%A4%A7%E5%B8%88/workspace/openclaw-zblog-markdown-publisher/publish-openclaw-workflow-site.js:1\nimport { createSecureClient } from 'xmlrpc';\n         ^^^^^^^^^^^^^^^^^^\nSyntaxError: Named export 'createSecureClient' not found. The requested module 'xmlrpc' is a CommonJS module, which may not support all module.exports as named exports.\nCommonJS modules can always be imported via the default export, for example using:\n\nimport pkg from 'xmlrpc';\nconst { createSecureClient } = pkg;\n\n    at ModuleJob._instantiate (node:internal/modules/esm/module_job:226:21)\n    at async ModuleJob.run (node:internal/modules/esm/module_job:335:5)\n    at async onImport.tracePromise.__proto__ (node:internal/modules/esm/loader:665:26)\n    at async asyncRunEntryPointWithESMLoader (node:internal/modules/run_main:117:5)\n\nNode.js v22.22.1\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027525116}}
{"type":"message","id":"9603aae4","parentId":"d4dfe20d","timestamp":"2026-05-06T00:32:07.224Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_1J95FxSwvI5OJJ8P5VAM0639","name":"edit","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/publish-openclaw-workflow-site.js","edits":[{"oldText":"import { createSecureClient } from 'xmlrpc';","newText":"import xmlrpc from 'xmlrpc';\nconst { createSecureClient } = xmlrpc;"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":310,"output":137,"cacheRead":26240,"cacheWrite":0,"totalTokens":26687,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027525118,"responseId":"71ea2e4e-8146-4253-b0c3-6d8c441d59d9"}}
{"type":"message","id":"6a5c5513","parentId":"9603aae4","timestamp":"2026-05-06T00:32:07.256Z","message":{"role":"toolResult","toolCallId":"call_00_1J95FxSwvI5OJJ8P5VAM0639","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/publish-openclaw-workflow-site.js."}],"details":{"diff":"- 1 import { createSecureClient } from 'xmlrpc';\n+ 1 import xmlrpc from 'xmlrpc';\n+ 2 const { createSecureClient } = xmlrpc;\n  2 import { readFileSync } from 'node:fs';\n  3 \n  4 const endpoint = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\n  5 const username = 'admin';\n    ...","firstChangedLine":1},"isError":false,"timestamp":1778027527256}}
{"type":"message","id":"3b7eb073","parentId":"6a5c5513","timestamp":"2026-05-06T00:32:08.907Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_8hTgtmvN9CTQW33ydS2K1307","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher && \\\nnode publish-openclaw-workflow-site.js 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":113,"output":97,"cacheRead":26624,"cacheWrite":0,"totalTokens":26834,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778027527258,"responseId":"8e5b6d9d-9a3f-450e-a957-e096ac5b822d"}}
{"type":"message","id":"81b1199b","parentId":"3b7eb073","timestamp":"2026-05-06T00:32:10.214Z","message":{"role":"toolResult","toolCallId":"call_00_8hTgtmvN9CTQW33ydS2K1307","toolName":"exec","content":[{"type":"text","text":"{\"success\":true,\"postId\":true,\"method\":\"metaWeblog.newPost\"}\n{\"verified\":true,\"latestPostTitle\":\"用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\",\"latestPostId\":\"9454\"}"}],"details":{"status":"completed","exitCode":0,"durationMs":1277,"aggregated":"{\"success\":true,\"postId\":true,\"method\":\"metaWeblog.newPost\"}\n{\"verified\":true,\"latestPostTitle\":\"用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\",\"latestPostId\":\"9454\"}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778027530214}}
{"type":"message","id":"39bb2657","parentId":"81b1199b","timestamp":"2026-05-06T00:32:13.950Z","message":{"role":"assistant","content":[{"type":"text","text":"**Task B (创业思维网) 也完成了！** 文章已成功发布，post ID: 9454。\n\n验证也通过了——`getRecentPosts` 确认最新文章正是我们发布的文章，标题匹配。\n\n来总结一下两个任务的完成情况：\n\n---\n\n## ✅ 双渠道发布完成\n\n### 任务A：公众号（创业张三疯）\n- ✅ 成功发布到公众号草稿箱\n- **media_id**: `imBwNhfy9Uv4ps2luE5gfjJ4RljpP8i243HnhHTGfOqCOkPttHlSR7mGfMOpbgA2`\n- **标题**: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n- **作者**: ai张三疯\n- **状态**: 已存入草稿箱，可登录公众号后台手动发布\n\n### 任务B：创业思维网（weixinsiwei.com）\n- ✅ 成功通过 XML-RPC (metaWeblog.newPost) 发布\n- **文章ID**: `9454`（已验证，getRecentPosts 确认最新文章标题匹配）\n- **标题**: 用OpenClaw搭建AI自媒体工作流，我一个人管理了3个发布渠道\n- **地址**: https://weixinsiwei.com\n- **状态**: 已发布"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":146,"output":287,"cacheRead":26752,"cacheWrite":0,"totalTokens":27185,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1778027530215,"responseId":"c8166d0a-5066-4313-b0dc-187eb140b713"}}