{"type":"session","version":3,"id":"5fecf052-eec5-4caa-86bd-072f365fa94d","timestamp":"2026-05-11T14:57:12.885Z","cwd":"/root/.openclaw/workspace/fabu"}
{"type":"model_change","id":"e8455b2f","parentId":null,"timestamp":"2026-05-11T14:57:12.894Z","provider":"deepseek","modelId":"deepseek-chat"}
{"type":"thinking_level_change","id":"877af8cb","parentId":"e8455b2f","timestamp":"2026-05-11T14:57:12.894Z","thinkingLevel":"off"}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1778511432916,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"170b6327","parentId":"877af8cb","timestamp":"2026-05-11T14:57:12.916Z"}
{"type":"message","id":"85e60d55","parentId":"170b6327","timestamp":"2026-05-11T14:57:12.944Z","message":{"role":"user","content":[{"type":"text","text":"[Mon 2026-05-11 22:57 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":1778511432921}}
{"type":"message","id":"209a0fc9","parentId":"85e60d55","timestamp":"2026-05-11T14:57:15.066Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me start by reading the article file and understanding the tools available."},{"type":"toolCall","id":"call_00_WcxxBYSNR0F9BD1omPlF4182","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/中国移动MoMA平台-20250511-v1.md"}},{"type":"toolCall","id":"call_01_0XN2b1fpAEEy8G0N9fuD1457","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":7842,"output":148,"cacheRead":4096,"cacheWrite":0,"totalTokens":12086,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511432945,"responseId":"c9dfbfe1-8df8-4e50-a1ec-f682681fcc3a"}}
{"type":"message","id":"15e9ff58","parentId":"209a0fc9","timestamp":"2026-05-11T14:57:15.187Z","message":{"role":"toolResult","toolCallId":"call_00_WcxxBYSNR0F9BD1omPlF4182","toolName":"read","content":[{"type":"text","text":"# 中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\n\n2500万免费Token，不绑信用卡，不搞套路，三网手机号都能领。\n\n中国移动的MoMA（一站式模型服务平台）就这么上线了。打开移动云官网，点\"免费畅享\"或\"模型观测\"，立即体验——甚至不需要你是移动用户，联通、电信的号码同样通行。\n\n这不是什么小的营销活动。这是中国运营商正式下场，加入AI基础设施的牌桌。\n\n## 免费Token，谁是下一个？\n\n先简单说怎么领：移动云官网首页点\"免费畅享\"或进控制台找\"一站式模型服务平台→模型观测\"，就能开启免费体验。三网通行，三步搞定。\n\n但真正值得聊的，不是操作路径——\n\n是国内大模型赛道，\"免费送Token\"已经从营销手段变成了行业入场券。\n\n回头看，阿里云百炼平台送过、百度千帆送过、字节火山引擎也送过。各家大厂的逻辑出奇一致：先喂免费额度，培养开发者的API使用习惯，等你的应用跑在它家模型上，迁移成本高了，自然就是付费用户。\n\n现在中国移动杀进来，一亮牌也是2500万免费Token。这意味着一件事：**Token分发已经从互联网大厂的游戏，变成了基础设施玩家的游戏。**\n\n## 运营商做AI平台，优势在哪？\n\n互联网大厂做AI平台，核心资产是技术——模型能力、算法积累、工程化经验。\n\n运营商做AI平台，核心资产是另一套东西：\n\n**第一，用户基数。** 中国移动的移动用户接近10亿，政企客户数以百万计。MoMA首批开放的模型观测功能，说白了就是\"低门槛体验AI能力\"——这种面向海量用户的触达能力，互联网厂做不到。\n\n**第二，政企关系。** 别低估这一点。中国有大量国企、央企、政府机构，AI采购的决策链条里，\"数字化合作伙伴\"天然倾向三大运营商。移动云本身就是国内TOP级的云服务商，现在云上叠一层AI平台，政企客户买AI就和买云服务一样顺理成章。\n\n**第三，数据管道。** 运营商拥有全网最庞大的网络流量数据。虽然数据合规使用有红线，但在模型训练、行业场景优化上，这种管道优势是纯云厂商拿不到的。\n\n## 免费背后的牌：在抢什么？\n\nToken免费送的商业逻辑，从来不是\"做慈善\"。\n\n大厂送Token，抢的是**开发者生态**。OpenAI的API之所以成为全球标准，不是因为它便宜，而是因为早期开发者大量涌入、工具链围绕它构建、整个生态被它锁死。国内大厂打Token价格战，本质上是在复刻这个故事——谁先圈住开发者，谁就有护城河。\n\n中国移动送Token，抢的不只是开发者，更是**政企市场的AI入口**。\n\n想想看：一家中型国企想做AI客服，选谁？如果是自研，要么对接百度千帆、要么阿里百炼，要么用电信/移动/联通的AI平台。但后者有一个其他厂商没有的优势——**他们已经在给这家企业提供通信和云服务了**。多开一个AI能力的开关，采购流程几乎无缝。\n\n换句话说，**Token价格战打到今天，已经不是技术问题，而是渠道问题。** 运营商的线下渠道、政企服务网络、央企身份的信任背书，构成了AI分发的新通路。\n\n## 创业者的机会：免费浪潮下怎么借势\n\n对于AI创业者和中小企业来说，这种\"全民送Token\"的格局，短期看是巨大的红利。\n\n我的建议很直接：\n\n**多接几张牌，不要押注单一平台。** 移动的2500万用完换阿里的、阿里的用完换百度的——在API接口标准化的前提下，不同模型各有特长，轮换用既能压低综合成本，也能避免被单一厂商锁定。\n\n**关注政企市场的入口机会。** 移动MoMA这类平台本质上在做\"AI能力超市\"。如果你的产品能作为行业解决方案挂上去（比如金融领域的AI文档处理、医疗领域的智能问诊），就等于搭上了运营商分销的高速公路。这比你自己一家家BD高效得多。\n\n**别被免费绑架注意力。** 免费Token帮你降低起步成本，但真正的竞争壁垒永远在场景和数据。拿到免费额度只是门票，怎么在具体的行业场景里构建数据飞轮，才是决定生死的事。\n\n---\n\nToken价格战打到运营商下场，说明AI基础设施正在经历一次深刻的渠道革命。\n\n未来的格局可能是：互联网大厂拼模型能力，运营商拼分发网络，创业者在场景里赚认知差的钱。谁都想\"锁定\"你，但真正聪明的做法，是让所有人都来服务你。\n\n2500万Token只是开始。这个市场，才刚热起来。\n"}],"isError":false,"timestamp":1778511435187}}
{"type":"message","id":"9fb2c711","parentId":"15e9ff58","timestamp":"2026-05-11T14:57:15.187Z","message":{"role":"toolResult","toolCallId":"call_01_0XN2b1fpAEEy8G0N9fuD1457","toolName":"exec","content":[{"type":"text","text":"cover-fitbit.jpg\ncover-geo.jpg\ncover-hermes.jpg\ncover-jensen.jpg\ncover.jpg\ncover-moma.jpg"}],"details":{"status":"completed","exitCode":0,"durationMs":37,"aggregated":"cover-fitbit.jpg\ncover-geo.jpg\ncover-hermes.jpg\ncover-jensen.jpg\ncover.jpg\ncover-moma.jpg","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511435187}}
{"type":"message","id":"01259b3e","parentId":"9fb2c711","timestamp":"2026-05-11T14:57:18.313Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, both files exist. Now let me check the wechat-api.ts script and the md2html.py script to understand how to use them."},{"type":"toolCall","id":"call_00_kMFWiQwPUCjpBAKjLi136930","name":"exec","arguments":{"command":"file /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-moma.jpg && ls -la /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-moma.jpg"}},{"type":"toolCall","id":"call_01_bOt2Iefqgj3rwWigFj6R4979","name":"exec","arguments":{"command":"cat /root/.openclaw/agents/101/workspace/post-to-wechat/scripts/wechat-api.ts | head -100"}},{"type":"toolCall","id":"call_02_d3gDdRHJyY2b0PPMziQH9004","name":"exec","arguments":{"command":"file /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1231,"output":244,"cacheRead":11904,"cacheWrite":0,"totalTokens":13379,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511435188,"responseId":"bf04782f-bcb8-455b-8bb7-1cbfdd2c16ab"}}
{"type":"message","id":"2c1b8c83","parentId":"01259b3e","timestamp":"2026-05-11T14:57:18.546Z","message":{"role":"toolResult","toolCallId":"call_00_kMFWiQwPUCjpBAKjLi136930","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-moma.jpg: JPEG image data, JFIF standard 1.01, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 1200x675, components 3\n-rw-r--r-- 1 root root 98056 May 11 22:56 /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-moma.jpg"}],"details":{"status":"completed","exitCode":0,"durationMs":101,"aggregated":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-moma.jpg: JPEG image data, JFIF standard 1.01, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 1200x675, components 3\n-rw-r--r-- 1 root root 98056 May 11 22:56 /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-moma.jpg","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511438546}}
{"type":"message","id":"444159a4","parentId":"2c1b8c83","timestamp":"2026-05-11T14:57:18.547Z","message":{"role":"toolResult","toolCallId":"call_01_bOt2Iefqgj3rwWigFj6R4979","toolName":"exec","content":[{"type":"text","text":"cat: /root/.openclaw/agents/101/workspace/post-to-wechat/scripts/wechat-api.ts: No such file or directory"}],"details":{"status":"completed","exitCode":0,"durationMs":78,"aggregated":"cat: /root/.openclaw/agents/101/workspace/post-to-wechat/scripts/wechat-api.ts: No such file or directory","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511438546}}
{"type":"message","id":"674a07a0","parentId":"444159a4","timestamp":"2026-05-11T14:57:18.547Z","message":{"role":"toolResult","toolCallId":"call_02_d3gDdRHJyY2b0PPMziQH9004","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/发布大师/workspace/scripts/md2html.py: Python script, Unicode text, UTF-8 text executable"}],"details":{"status":"completed","exitCode":0,"durationMs":143,"aggregated":"/root/.openclaw/agents/发布大师/workspace/scripts/md2html.py: Python script, Unicode text, UTF-8 text executable","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511438546}}
{"type":"message","id":"f375ca56","parentId":"674a07a0","timestamp":"2026-05-11T14:57:20.440Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me find the correct path for wechat-api.ts and read the md2html.py script."},{"type":"toolCall","id":"call_00_80Xq31LYAig1bQI2aJSL7659","name":"exec","arguments":{"command":"find /root/.openclaw -name \"wechat-api.ts\" 2>/dev/null"}},{"type":"toolCall","id":"call_01_fMxXfcmWUrrXHO7wmSrL7228","name":"exec","arguments":{"command":"find /root/.openclaw/agents -maxdepth 1 -type d 2>/dev/null"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":283,"output":130,"cacheRead":13312,"cacheWrite":0,"totalTokens":13725,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511438548,"responseId":"a5e2c00f-4bb3-4b37-9069-6927e6d4bfbb"}}
{"type":"message","id":"30c013cb","parentId":"f375ca56","timestamp":"2026-05-11T14:57:20.792Z","message":{"role":"toolResult","toolCallId":"call_00_80Xq31LYAig1bQI2aJSL7659","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts\n/root/.openclaw/agents/101/workspace/wechat-agent-template/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":276,"aggregated":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts\n/root/.openclaw/agents/101/workspace/wechat-agent-template/skills/baoyu-post-to-wechat/scripts/wechat-api.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511440792}}
{"type":"message","id":"d412b704","parentId":"30c013cb","timestamp":"2026-05-11T14:57:20.792Z","message":{"role":"toolResult","toolCallId":"call_01_fMxXfcmWUrrXHO7wmSrL7228","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents\n/root/.openclaw/agents/fabu\n/root/.openclaw/agents/main\n/root/.openclaw/agents/wenzhang\n/root/.openclaw/agents/jiaoben\n/root/.openclaw/agents/选题大师\n/root/.openclaw/agents/qingbao\n/root/.openclaw/agents/发布大师\n/root/.openclaw/agents/情报大师\n/root/.openclaw/agents/脚本大师\n/root/.openclaw/agents/文章大师\n/root/.openclaw/agents/101"}],"details":{"status":"completed","exitCode":0,"durationMs":47,"aggregated":"/root/.openclaw/agents\n/root/.openclaw/agents/fabu\n/root/.openclaw/agents/main\n/root/.openclaw/agents/wenzhang\n/root/.openclaw/agents/jiaoben\n/root/.openclaw/agents/选题大师\n/root/.openclaw/agents/qingbao\n/root/.openclaw/agents/发布大师\n/root/.openclaw/agents/情报大师\n/root/.openclaw/agents/脚本大师\n/root/.openclaw/agents/文章大师\n/root/.openclaw/agents/101","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511440792}}
{"type":"message","id":"f68facea","parentId":"d412b704","timestamp":"2026-05-11T14:57:22.453Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_Uxn2sXSe1wUmvuLfxsnS1098","name":"exec","arguments":{"command":"head -80 /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}},{"type":"toolCall","id":"call_01_VUE7cl796Nmf1f0Fh6M23167","name":"exec","arguments":{"command":"cat /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":251,"output":125,"cacheRead":13696,"cacheWrite":0,"totalTokens":14072,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511440793,"responseId":"71360ace-9ce2-44d1-8980-9803e7753c6d"}}
{"type":"message","id":"92cb5b5d","parentId":"f68facea","timestamp":"2026-05-11T14:57:22.605Z","message":{"role":"toolResult","toolCallId":"call_00_Uxn2sXSe1wUmvuLfxsnS1098","toolName":"exec","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}: ${data.errmsg}`);\n  }\n  if (!data.access_token) {\n    throw new Error(\"No access_token in response\");\n  }\n  return data.access_token;\n}\n\nasync function uploadImage(\n  imagePath: string,\n  accessToken: string,\n  baseDir?: string\n): Promise<UploadResponse> {\n  let fileBuffer: Buffer;"}],"details":{"status":"completed","exitCode":0,"durationMs":46,"aggregated":"import fs from \"node:fs\";\nimport path from \"node:path\";\nimport { spawnSync } from \"node:child_process\";\nimport { fileURLToPath } from \"node:url\";\nimport { loadWechatExtendConfig, resolveAccount, loadCredentials } from \"./wechat-extend-config.ts\";\n\ninterface AccessTokenResponse {\n  access_token?: string;\n  errcode?: number;\n  errmsg?: string;\n}\n\ninterface UploadResponse {\n  media_id: string;\n  url: string;\n  errcode?: number;\n  errmsg?: string;\n}\n\ninterface PublishResponse {\n  media_id?: string;\n  errcode?: number;\n  errmsg?: string;\n}\n\ninterface ImageInfo {\n  placeholder: string;\n  localPath: string;\n  originalPath: string;\n}\n\ninterface MarkdownRenderResult {\n  title: string;\n  author: string;\n  summary: string;\n  htmlPath: string;\n  contentImages: ImageInfo[];\n}\n\ntype ArticleType = \"news\" | \"newspic\";\n\ninterface ArticleOptions {\n  title: string;\n  author?: string;\n  digest?: string;\n  content: string;\n  thumbMediaId: string;\n  articleType: ArticleType;\n  imageMediaIds?: string[];\n  needOpenComment?: number;\n  onlyFansCanComment?: number;\n}\n\nconst TOKEN_URL = \"https://api.weixin.qq.com/cgi-bin/token\";\nconst UPLOAD_URL = \"https://api.weixin.qq.com/cgi-bin/material/add_material\";\nconst DRAFT_URL = \"https://api.weixin.qq.com/cgi-bin/draft/add\";\n\n\nasync function fetchAccessToken(appId: string, appSecret: string): Promise<string> {\n  const url = `${TOKEN_URL}?grant_type=client_credential&appid=${appId}&secret=${appSecret}`;\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;","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511442605}}
{"type":"message","id":"c0ae80d7","parentId":"92cb5b5d","timestamp":"2026-05-11T14:57:22.605Z","message":{"role":"toolResult","toolCallId":"call_01_VUE7cl796Nmf1f0Fh6M23167","toolName":"exec","content":[{"type":"text","text":"#!/usr/bin/env python3\n\"\"\"将 Markdown 转换为 HTML，处理前端元数据 (front-matter)\"\"\"\n\nimport sys\nimport re\nimport markdown\n\ndef strip_frontmatter(text):\n    \"\"\"去掉 YAML front-matter (--- ... ---)，返回 (标题行号偏移, 纯markdown内容)\"\"\"\n    lines = text.split('\\n')\n    if lines and lines[0].strip() == '---':\n        end = -1\n        for i in range(1, len(lines)):\n            if lines[i].strip() == '---':\n                end = i\n                break\n        if end > 0:\n            # 去掉 front-matter\n            new_lines = lines[end+1:]\n            # 如果去掉前导空行\n            while new_lines and new_lines[0].strip() == '':\n                new_lines = new_lines[1:]\n            return '\\n'.join(new_lines)\n    return text\n\ndef extract_title(md_text):\n    \"\"\"从 markdown 中提取第一个 # 标题\"\"\"\n    for line in md_text.split('\\n'):\n        if line.startswith('# '):\n            return line[2:].strip()\n    return None\n\ndef md_to_html(md_text):\n    \"\"\"转换 markdown 为完整 HTML\"\"\"\n    # 转换为 HTML\n    html = markdown.markdown(\n        md_text,\n        extensions=['extra', 'codehilite', 'toc'],\n        output_format='html5'\n    )\n    return html\n\ndef main():\n    import argparse\n    \n    parser = argparse.ArgumentParser(description='Convert Markdown to HTML for Z-Blog/WordPress')\n    parser.add_argument('input', help='Input markdown file')\n    parser.add_argument('--output', '-o', help='Output HTML file (default: stdout)')\n    parser.add_argument('--title-only', action='store_true', help='Only extract title')\n    \n    args = parser.parse_args()\n    \n    with open(args.input, 'r', encoding='utf-8') as f:\n        raw = f.read()\n    \n    # 去掉 front-matter\n    md_text = strip_frontmatter(raw)\n    \n    if args.title_only:\n        title = extract_title(md_text)\n        if title:\n            print(title)\n        return\n    \n    title = extract_title(md_text)\n    \n    # 去掉第一个 # 标题行（html中不再重复）\n    body_lines = md_text.split('\\n')\n    if body_lines and body_lines[0].startswith('# '):\n        body_lines = body_lines[1:]\n    body_md = '\\n'.join(body_lines).strip()\n    \n    html_body = md_to_html(body_md)\n    \n    # 构建完整 HTML\n    full_html = f\"\"\"<h1>{title}</h1>\n{html_body}\n\"\"\"\n    \n    if args.output:\n        with open(args.output, 'w', encoding='utf-8') as f:\n            f.write(full_html)\n        print(f'HTML 已保存到: {args.output}', file=sys.stderr)\n        print(f'标题: {title}', file=sys.stderr)\n    else:\n        print(full_html)\n\nif __name__ == '__main__':\n    main()"}],"details":{"status":"completed","exitCode":0,"durationMs":88,"aggregated":"#!/usr/bin/env python3\n\"\"\"将 Markdown 转换为 HTML，处理前端元数据 (front-matter)\"\"\"\n\nimport sys\nimport re\nimport markdown\n\ndef strip_frontmatter(text):\n    \"\"\"去掉 YAML front-matter (--- ... ---)，返回 (标题行号偏移, 纯markdown内容)\"\"\"\n    lines = text.split('\\n')\n    if lines and lines[0].strip() == '---':\n        end = -1\n        for i in range(1, len(lines)):\n            if lines[i].strip() == '---':\n                end = i\n                break\n        if end > 0:\n            # 去掉 front-matter\n            new_lines = lines[end+1:]\n            # 如果去掉前导空行\n            while new_lines and new_lines[0].strip() == '':\n                new_lines = new_lines[1:]\n            return '\\n'.join(new_lines)\n    return text\n\ndef extract_title(md_text):\n    \"\"\"从 markdown 中提取第一个 # 标题\"\"\"\n    for line in md_text.split('\\n'):\n        if line.startswith('# '):\n            return line[2:].strip()\n    return None\n\ndef md_to_html(md_text):\n    \"\"\"转换 markdown 为完整 HTML\"\"\"\n    # 转换为 HTML\n    html = markdown.markdown(\n        md_text,\n        extensions=['extra', 'codehilite', 'toc'],\n        output_format='html5'\n    )\n    return html\n\ndef main():\n    import argparse\n    \n    parser = argparse.ArgumentParser(description='Convert Markdown to HTML for Z-Blog/WordPress')\n    parser.add_argument('input', help='Input markdown file')\n    parser.add_argument('--output', '-o', help='Output HTML file (default: stdout)')\n    parser.add_argument('--title-only', action='store_true', help='Only extract title')\n    \n    args = parser.parse_args()\n    \n    with open(args.input, 'r', encoding='utf-8') as f:\n        raw = f.read()\n    \n    # 去掉 front-matter\n    md_text = strip_frontmatter(raw)\n    \n    if args.title_only:\n        title = extract_title(md_text)\n        if title:\n            print(title)\n        return\n    \n    title = extract_title(md_text)\n    \n    # 去掉第一个 # 标题行（html中不再重复）\n    body_lines = md_text.split('\\n')\n    if body_lines and body_lines[0].startswith('# '):\n        body_lines = body_lines[1:]\n    body_md = '\\n'.join(body_lines).strip()\n    \n    html_body = md_to_html(body_md)\n    \n    # 构建完整 HTML\n    full_html = f\"\"\"<h1>{title}</h1>\n{html_body}\n\"\"\"\n    \n    if args.output:\n        with open(args.output, 'w', encoding='utf-8') as f:\n            f.write(full_html)\n        print(f'HTML 已保存到: {args.output}', file=sys.stderr)\n        print(f'标题: {title}', file=sys.stderr)\n    else:\n        print(full_html)\n\nif __name__ == '__main__':\n    main()","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511442605}}
{"type":"message","id":"786cdd1b","parentId":"c0ae80d7","timestamp":"2026-05-11T14:57:24.484Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the wechat-extend-config.ts to understand how credentials/account setup works."},{"type":"toolCall","id":"call_00_NcRhdEuSjclPcJJ6DQYo4523","name":"exec","arguments":{"command":"head -50 /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts | tail -20"}},{"type":"toolCall","id":"call_01_kbF8KErAXNKqv8yIS5ew4075","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1348,"output":154,"cacheRead":13952,"cacheWrite":0,"totalTokens":15454,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511442606,"responseId":"22e67e5e-5cc6-4ce0-99aa-7c5829bb50f2"}}
{"type":"message","id":"f5fdce7d","parentId":"786cdd1b","timestamp":"2026-05-11T14:57:24.641Z","message":{"role":"toolResult","toolCallId":"call_00_NcRhdEuSjclPcJJ6DQYo4523","toolName":"exec","content":[{"type":"text","text":"interface 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;"}],"details":{"status":"completed","exitCode":0,"durationMs":40,"aggregated":"interface 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;","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511444640}}
{"type":"message","id":"8628cf77","parentId":"f5fdce7d","timestamp":"2026-05-11T14:57:24.641Z","message":{"role":"toolResult","toolCallId":"call_01_kbF8KErAXNKqv8yIS5ew4075","toolName":"exec","content":[{"type":"text","text":"bun.lock\ncdp.ts\ncheck-permissions.ts\ncopy-to-clipboard.ts\nmd-to-wechat.ts\nnode_modules\npackage.json\npackage-lock.json\npaste-from-clipboard.ts\nvendor\nwechat-agent-browser.ts\nwechat-api.ts\nwechat-article.ts\nwechat-browser.ts\nwechat-extend-config.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":88,"aggregated":"bun.lock\ncdp.ts\ncheck-permissions.ts\ncopy-to-clipboard.ts\nmd-to-wechat.ts\nnode_modules\npackage.json\npackage-lock.json\npaste-from-clipboard.ts\nvendor\nwechat-agent-browser.ts\nwechat-api.ts\nwechat-article.ts\nwechat-browser.ts\nwechat-extend-config.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511444641}}
{"type":"message","id":"0718ded3","parentId":"8628cf77","timestamp":"2026-05-11T14:57:25.741Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_WdCmbttUJJbGdMAY29o28803","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":289,"output":72,"cacheRead":15360,"cacheWrite":0,"totalTokens":15721,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511444642,"responseId":"6d7d0d23-5282-49b6-8791-2932dbe8d36f"}}
{"type":"message","id":"01843206","parentId":"0718ded3","timestamp":"2026-05-11T14:57:25.787Z","message":{"role":"toolResult","toolCallId":"call_00_WdCmbttUJJbGdMAY29o28803","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":1778511445787}}
{"type":"message","id":"b56ac753","parentId":"01843206","timestamp":"2026-05-11T14:57:27.847Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I understand the full script. The command needs to be run from the directory containing the md file. Let me also check the wechat-extend-config to understand credential loading, since we're passing credentials via env vars."},{"type":"toolCall","id":"call_00_AMjwl6UnfDa5i1YwBG7E9393","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":6075,"output":118,"cacheRead":15616,"cacheWrite":0,"totalTokens":21809,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511445788,"responseId":"418aa7ee-fc2b-42e4-a787-b41d8d4eeb67"}}
{"type":"message","id":"ef423ee9","parentId":"b56ac753","timestamp":"2026-05-11T14:57:27.892Z","message":{"role":"toolResult","toolCallId":"call_00_AMjwl6UnfDa5i1YwBG7E9393","toolName":"read","content":[{"type":"text","text":"import fs from \"node:fs\";\nimport path from \"node:path\";\nimport os from \"node:os\";\n\nexport interface WechatAccount {\n  name: string;\n  alias: string;\n  default?: boolean;\n  default_publish_method?: string;\n  default_author?: string;\n  need_open_comment?: number;\n  only_fans_can_comment?: number;\n  app_id?: string;\n  app_secret?: string;\n  chrome_profile_path?: string;\n}\n\nexport interface WechatExtendConfig {\n  default_theme?: string;\n  default_color?: string;\n  default_publish_method?: string;\n  default_author?: string;\n  need_open_comment?: number;\n  only_fans_can_comment?: number;\n  chrome_profile_path?: string;\n  accounts?: WechatAccount[];\n}\n\nexport interface ResolvedAccount {\n  name?: string;\n  alias?: string;\n  default_publish_method?: string;\n  default_author?: string;\n  need_open_comment: number;\n  only_fans_can_comment: number;\n  app_id?: string;\n  app_secret?: string;\n  chrome_profile_path?: string;\n}\n\nfunction stripQuotes(s: string): string {\n  return s.replace(/^['\"]|['\"]$/g, \"\");\n}\n\nfunction toBool01(v: string): number {\n  return v === \"1\" || v === \"true\" ? 1 : 0;\n}\n\nfunction parseWechatExtend(content: string): WechatExtendConfig {\n  const config: WechatExtendConfig = {};\n  const lines = content.split(\"\\n\");\n  let inAccounts = false;\n  let current: Record<string, string> | null = null;\n  const rawAccounts: Record<string, string>[] = [];\n\n  for (const raw of lines) {\n    const trimmed = raw.trim();\n    if (!trimmed || trimmed.startsWith(\"#\")) continue;\n\n    if (trimmed === \"accounts:\") {\n      inAccounts = true;\n      continue;\n    }\n\n    if (inAccounts) {\n      const listMatch = raw.match(/^\\s+-\\s+(.+)$/);\n      if (listMatch) {\n        if (current) rawAccounts.push(current);\n        current = {};\n        const kv = listMatch[1]!;\n        const ci = kv.indexOf(\":\");\n        if (ci > 0) {\n          current[kv.slice(0, ci).trim()] = stripQuotes(kv.slice(ci + 1).trim());\n        }\n        continue;\n      }\n\n      if (current && /^\\s{2,}/.test(raw) && !trimmed.startsWith(\"-\")) {\n        const ci = trimmed.indexOf(\":\");\n        if (ci > 0) {\n          current[trimmed.slice(0, ci).trim()] = stripQuotes(trimmed.slice(ci + 1).trim());\n        }\n        continue;\n      }\n\n      if (!/^\\s/.test(raw)) {\n        if (current) rawAccounts.push(current);\n        current = null;\n        inAccounts = false;\n      } else {\n        continue;\n      }\n    }\n\n    const ci = trimmed.indexOf(\":\");\n    if (ci < 0) continue;\n    const key = trimmed.slice(0, ci).trim();\n    const val = stripQuotes(trimmed.slice(ci + 1).trim());\n    if (val === \"null\" || val === \"\") continue;\n\n    switch (key) {\n      case \"default_theme\": config.default_theme = val; break;\n      case \"default_color\": config.default_color = val; break;\n      case \"default_publish_method\": config.default_publish_method = val; break;\n      case \"default_author\": config.default_author = val; break;\n      case \"need_open_comment\": config.need_open_comment = toBool01(val); break;\n      case \"only_fans_can_comment\": config.only_fans_can_comment = toBool01(val); break;\n      case \"chrome_profile_path\": config.chrome_profile_path = val; break;\n    }\n  }\n\n  if (current) rawAccounts.push(current);\n\n  if (rawAccounts.length > 0) {\n    config.accounts = rawAccounts.map(a => ({\n      name: a.name || \"\",\n      alias: a.alias || \"\",\n      default: a.default === \"true\" || a.default === \"1\",\n      default_publish_method: a.default_publish_method || undefined,\n      default_author: a.default_author || undefined,\n      need_open_comment: a.need_open_comment ? toBool01(a.need_open_comment) : undefined,\n      only_fans_can_comment: a.only_fans_can_comment ? toBool01(a.only_fans_can_comment) : undefined,\n      app_id: a.app_id || undefined,\n      app_secret: a.app_secret || undefined,\n      chrome_profile_path: a.chrome_profile_path || undefined,\n    }));\n  }\n\n  return config;\n}\n\nexport function loadWechatExtendConfig(): WechatExtendConfig {\n  const paths = [\n    path.join(process.cwd(), \".baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"),\n    path.join(\n      process.env.XDG_CONFIG_HOME || path.join(os.homedir(), \".config\"),\n      \"baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"\n    ),\n    path.join(os.homedir(), \".baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"),\n  ];\n  for (const p of paths) {\n    try {\n      const content = fs.readFileSync(p, \"utf-8\");\n      return parseWechatExtend(content);\n    } catch {\n      continue;\n    }\n  }\n  return {};\n}\n\nfunction selectAccount(config: WechatExtendConfig, alias?: string): WechatAccount | undefined {\n  if (!config.accounts || config.accounts.length === 0) return undefined;\n  if (alias) return config.accounts.find(a => a.alias === alias);\n  if (config.accounts.length === 1) return config.accounts[0];\n  return config.accounts.find(a => a.default);\n}\n\nexport function resolveAccount(config: WechatExtendConfig, alias?: string): ResolvedAccount {\n  const acct = selectAccount(config, alias);\n  return {\n    name: acct?.name,\n    alias: acct?.alias,\n    default_publish_method: acct?.default_publish_method ?? config.default_publish_method,\n    default_author: acct?.default_author ?? config.default_author,\n    need_open_comment: acct?.need_open_comment ?? config.need_open_comment ?? 1,\n    only_fans_can_comment: acct?.only_fans_can_comment ?? config.only_fans_can_comment ?? 0,\n    app_id: acct?.app_id,\n    app_secret: acct?.app_secret,\n    chrome_profile_path: acct?.chrome_profile_path ?? config.chrome_profile_path,\n  };\n}\n\nfunction loadEnvFile(envPath: string): Record<string, string> {\n  const env: Record<string, string> = {};\n  if (!fs.existsSync(envPath)) return env;\n  const content = fs.readFileSync(envPath, \"utf-8\");\n  for (const line of content.split(\"\\n\")) {\n    const trimmed = line.trim();\n    if (!trimmed || trimmed.startsWith(\"#\")) continue;\n    const eqIdx = trimmed.indexOf(\"=\");\n    if (eqIdx > 0) {\n      const key = trimmed.slice(0, eqIdx).trim();\n      let value = trimmed.slice(eqIdx + 1).trim();\n      if ((value.startsWith('\"') && value.endsWith('\"')) ||\n          (value.startsWith(\"'\") && value.endsWith(\"'\"))) {\n        value = value.slice(1, -1);\n      }\n      env[key] = value;\n    }\n  }\n  return env;\n}\n\nfunction aliasToEnvKey(alias: string): string {\n  return alias.toUpperCase().replace(/-/g, \"_\");\n}\n\nexport function loadCredentials(account?: ResolvedAccount): { appId: string; appSecret: string } {\n  if (account?.app_id && account?.app_secret) {\n    return { appId: account.app_id, appSecret: account.app_secret };\n  }\n\n  const cwdEnvPath = path.join(process.cwd(), \".baoyu-skills\", \".env\");\n  const homeEnvPath = path.join(os.homedir(), \".baoyu-skills\", \".env\");\n  const cwdEnv = loadEnvFile(cwdEnvPath);\n  const homeEnv = loadEnvFile(homeEnvPath);\n\n  const prefix = account?.alias ? `WECHAT_${aliasToEnvKey(account.alias)}_` : \"\";\n\n  let appId = \"\";\n  let appSecret = \"\";\n\n  if (prefix) {\n    appId = process.env[`${prefix}APP_ID`]\n      || cwdEnv[`${prefix}APP_ID`]\n      || homeEnv[`${prefix}APP_ID`]\n      || \"\";\n    appSecret = process.env[`${prefix}APP_SECRET`]\n      || cwdEnv[`${prefix}APP_SECRET`]\n      || homeEnv[`${prefix}APP_SECRET`]\n      || \"\";\n  }\n\n  if (!appId) {\n    appId = process.env.WECHAT_APP_ID || cwdEnv.WECHAT_APP_ID || homeEnv.WECHAT_APP_ID || \"\";\n  }\n  if (!appSecret) {\n    appSecret = process.env.WECHAT_APP_SECRET || cwdEnv.WECHAT_APP_SECRET || homeEnv.WECHAT_APP_SECRET || \"\";\n  }\n\n  if (!appId || !appSecret) {\n    const hint = account?.alias ? ` (account: ${account.alias})` : \"\";\n    throw new Error(\n      `Missing WECHAT_APP_ID or WECHAT_APP_SECRET${hint}.\\n` +\n      \"Set via EXTEND.md account config, environment variables, or .baoyu-skills/.env file.\"\n    );\n  }\n\n  return { appId, appSecret };\n}\n\nexport function listAccounts(config: WechatExtendConfig): string[] {\n  return (config.accounts || []).map(a => a.alias);\n}\n"}],"isError":false,"timestamp":1778511447892}}
{"type":"message","id":"23df3998","parentId":"ef423ee9","timestamp":"2026-05-11T14:57:31.816Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I understand the code. The script supports environment variables `WECHAT_APP_ID` and `WECHAT_APP_SECRET` to pass credentials directly. Let me start **Task 1: WeChat publishing**.\n\nI'll run the wechat-api.ts script from the working directory of the md file, passing the credentials as env vars."},{"type":"toolCall","id":"call_00_O25AkIE6VvHfJGEo4C9K9763","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11 && WECHAT_APP_ID=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f npx -y bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts 中国移动MoMA平台-20250511-v1.md --theme default --color blue --author \"ai张三疯\" --cover imgs/cover-moma.jpg 2>&1","timeout":120}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2283,"output":271,"cacheRead":21760,"cacheWrite":0,"totalTokens":24314,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511447893,"responseId":"c0158460-d37f-4825-8b8d-44122b2f42ac"}}
{"type":"message","id":"283dfe81","parentId":"23df3998","timestamp":"2026-05-11T14:57:41.893Z","message":{"role":"toolResult","toolCallId":"call_00_O25AkIE6VvHfJGEo4C9K9763","toolName":"exec","content":[{"type":"text","text":"Command still running (session young-valley, pid 113873). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"young-valley","pid":113873,"startedAt":1778511451840,"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"},"isError":false,"timestamp":1778511461893}}
{"type":"message","id":"457c1fd9","parentId":"283dfe81","timestamp":"2026-05-11T14:57:43.363Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_AlcSSXugF1DHAqGQtlU53539","name":"process","arguments":{"action":"poll","sessionId":"young-valley","timeout":120000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":167,"output":79,"cacheRead":24192,"cacheWrite":0,"totalTokens":24438,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511461895,"responseId":"dc850471-612a-4783-971b-cd9385318c0d"}}
{"type":"message","id":"99ab0f6d","parentId":"457c1fd9","timestamp":"2026-05-11T14:57:47.932Z","message":{"role":"toolResult","toolCallId":"call_00_AlcSSXugF1DHAqGQtlU53539","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-2p2kue/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 2500万免费Token，不绑信用卡，不搞套路，三网手机号都能领。...\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/2026-05-11/imgs/cover-moma.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz\",\n  \"title\": \"中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"young-valley","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-2p2kue/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 2500万免费Token，不绑信用卡，不搞套路，三网手机号都能领。...\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/2026-05-11/imgs/cover-moma.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz\",\n  \"title\": \"中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz\n","name":"cd /root/.openclaw/agents...t-to-wechat/2026-05-11"},"isError":false,"timestamp":1778511467931}}
{"type":"message","id":"a319faa0","parentId":"99ab0f6d","timestamp":"2026-05-11T14:57:55.014Z","message":{"role":"assistant","content":[{"type":"text","text":"**Task 1: WeChat publishing succeeded!** Let me verify the draft."},{"type":"toolCall","id":"call_00_tDdzlKjG635pgUOLPveM1442","name":"exec","arguments":{"command":"curl -s -X POST \"https://api.weixin.qq.com/cgi-bin/token?grant_type=client_credential&appid=wx88b0cf376e0386c4&secret=b2d47ee298204c28cf82549d2798192f\" 2>&1 | head -5"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":539,"output":129,"cacheRead":24320,"cacheWrite":0,"totalTokens":24988,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511467933,"responseId":"66e574d3-0b2c-40d9-add5-fc7dc506dd05"}}
{"type":"message","id":"6c7650cf","parentId":"a319faa0","timestamp":"2026-05-11T14:57:55.826Z","message":{"role":"toolResult","toolCallId":"call_00_tDdzlKjG635pgUOLPveM1442","toolName":"exec","content":[{"type":"text","text":"{\"access_token\":\"103_Hyj8Iq5s--4_I2APCaifECo6_apaaPQD-XVbZLFVGsIOO7RFhbvwdvvqg_4HG01fmbMYbq1UZ_AyXR-8uQ1oJTDyp27UqyVJPnbT1DtcGtfsUYuUEneM4s2fasMQELjAEAYMT\",\"expires_in\":7200}"}],"details":{"status":"completed","exitCode":0,"durationMs":763,"aggregated":"{\"access_token\":\"103_Hyj8Iq5s--4_I2APCaifECo6_apaaPQD-XVbZLFVGsIOO7RFhbvwdvvqg_4HG01fmbMYbq1UZ_AyXR-8uQ1oJTDyp27UqyVJPnbT1DtcGtfsUYuUEneM4s2fasMQELjAEAYMT\",\"expires_in\":7200}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511475826}}
{"type":"message","id":"3e28c9a4","parentId":"6c7650cf","timestamp":"2026-05-11T14:57:58.845Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_nln7kjkyQeekur7W5UJn4455","name":"exec","arguments":{"command":"TOKEN=\"103_Hyj8Iq5s--4_I2APCaifECo6_apaaPQD-XVbZLFVGsIOO7RFhbvwdvvqg_4HG01fmbMYbq1UZ_AyXR-8uQ1oJTDyp27UqyVJPnbT1DtcGtfsUYuUEneM4s2fasMQELjAEAYMT\"\n\n# List drafts to verify\ncurl -s -X POST \"https://api.weixin.qq.com/cgi-bin/draft/batchget?access_token=${TOKEN}\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"offset\":0,\"count\":1,\"no_content\":1}' 2>&1 | python3 -m json.tool"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":144,"output":217,"cacheRead":24960,"cacheWrite":0,"totalTokens":25321,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511475827,"responseId":"da01ef3b-95ed-43d7-a490-0375b79dd1ae"}}
{"type":"message","id":"94bcc54f","parentId":"3e28c9a4","timestamp":"2026-05-11T14:57:59.599Z","message":{"role":"toolResult","toolCallId":"call_00_nln7kjkyQeekur7W5UJn4455","toolName":"exec","content":[{"type":"text","text":"{\n    \"item\": [\n        {\n            \"media_id\": \"imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz\",\n            \"content\": {\n                \"news_item\": [\n                    {\n                        \"title\": \"\\u4e2d\\u56fd\\u79fb\\u52a8\\u90012500\\u4e07Token\\uff1a\\u8fd0\\u8425\\u5546\\u6740\\u5165AI\\u6218\\u573a\\uff0c\\u724c\\u5c40\\u5f00\\u59cb\\u53d8\\u4e86\",\n                        \"author\": \"ai\\u5f20\\u4e09\\u75af\",\n                        \"digest\": \"2500\\u4e07\\u514d\\u8d39Token\\uff0c\\u4e0d\\u7ed1\\u4fe1\\u7528\\u5361\\uff0c\\u4e0d\\u641e\\u5957\\u8def\\uff0c\\u4e09\\u7f51\\u624b\\u673a\\u53f7\\u90fd\\u80fd\\u9886\\u3002\",\n                        \"content_source_url\": \"\",\n                        \"thumb_media_id\": \"imBwNhfy9Uv4ps2luE5gfgxhtcqRe_wWcCYq8uzJwWoDxUaxD1Rfbd2E3rYAaY-m\",\n                        \"show_cover_pic\": 0,\n                        \"url\": \"http://mp.weixin.qq.com/s?__biz=MjM5NTEyMjg0MA==&tempkey=MTM3M19Ha3FHVG1WQ2Q1bmQ4LzlOSjJIR2ZrWEwtUkJyaTVVdmY4TlR0azN5djNHcHNwTXNtX0d3cUNmRTN6NmU1R2NjaVVwaVQ1RHRsSHB2RzlOQmliSUZ2bTdSMHZ5MGdnNjY4cnllMjhWa01ZOTlnODE5Y0RjM3JtSFFMbEtwZmpuNEdfd25ITnhUQnBzR0NyR0tYU0lfc2ZRcGpfekFfSGwzbGNSUUNRfn4%3D&chksm=3d0967d80a7eeece8d26dd0df427342d2dee0f88d0d4b17182f22c95f7db7fd0dbc8950a6ae8#rd\",\n                        \"thumb_url\": \"http://mmbiz.qpic.cn/sz_mmbiz_jpg/eoYh6VVsibTt7oeRRlBZVIRbKjbqWSFU4jwpTV2vUnQwClsp4n3AYBYsiaSAbicAzKTCRiaeHt4iaWDaJ7glkw0YfytrjnRFAZ1p7ViaFF9vtkJf4/0?wx_fmt=jpeg\",\n                        \"need_open_comment\": 1,\n                        \"only_fans_can_comment\": 0,\n                        \"article_type\": \"news\"\n                    }\n                ],\n                \"create_time\": 1778511428,\n                \"update_time\": 1778511429\n            },\n            \"update_time\": 1778511429\n        }\n    ],\n    \"total_count\": 99,\n    \"item_count\": 1\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":681,"aggregated":"{\n    \"item\": [\n        {\n            \"media_id\": \"imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz\",\n            \"content\": {\n                \"news_item\": [\n                    {\n                        \"title\": \"\\u4e2d\\u56fd\\u79fb\\u52a8\\u90012500\\u4e07Token\\uff1a\\u8fd0\\u8425\\u5546\\u6740\\u5165AI\\u6218\\u573a\\uff0c\\u724c\\u5c40\\u5f00\\u59cb\\u53d8\\u4e86\",\n                        \"author\": \"ai\\u5f20\\u4e09\\u75af\",\n                        \"digest\": \"2500\\u4e07\\u514d\\u8d39Token\\uff0c\\u4e0d\\u7ed1\\u4fe1\\u7528\\u5361\\uff0c\\u4e0d\\u641e\\u5957\\u8def\\uff0c\\u4e09\\u7f51\\u624b\\u673a\\u53f7\\u90fd\\u80fd\\u9886\\u3002\",\n                        \"content_source_url\": \"\",\n                        \"thumb_media_id\": \"imBwNhfy9Uv4ps2luE5gfgxhtcqRe_wWcCYq8uzJwWoDxUaxD1Rfbd2E3rYAaY-m\",\n                        \"show_cover_pic\": 0,\n                        \"url\": \"http://mp.weixin.qq.com/s?__biz=MjM5NTEyMjg0MA==&tempkey=MTM3M19Ha3FHVG1WQ2Q1bmQ4LzlOSjJIR2ZrWEwtUkJyaTVVdmY4TlR0azN5djNHcHNwTXNtX0d3cUNmRTN6NmU1R2NjaVVwaVQ1RHRsSHB2RzlOQmliSUZ2bTdSMHZ5MGdnNjY4cnllMjhWa01ZOTlnODE5Y0RjM3JtSFFMbEtwZmpuNEdfd25ITnhUQnBzR0NyR0tYU0lfc2ZRcGpfekFfSGwzbGNSUUNRfn4%3D&chksm=3d0967d80a7eeece8d26dd0df427342d2dee0f88d0d4b17182f22c95f7db7fd0dbc8950a6ae8#rd\",\n                        \"thumb_url\": \"http://mmbiz.qpic.cn/sz_mmbiz_jpg/eoYh6VVsibTt7oeRRlBZVIRbKjbqWSFU4jwpTV2vUnQwClsp4n3AYBYsiaSAbicAzKTCRiaeHt4iaWDaJ7glkw0YfytrjnRFAZ1p7ViaFF9vtkJf4/0?wx_fmt=jpeg\",\n                        \"need_open_comment\": 1,\n                        \"only_fans_can_comment\": 0,\n                        \"article_type\": \"news\"\n                    }\n                ],\n                \"create_time\": 1778511428,\n                \"update_time\": 1778511429\n            },\n            \"update_time\": 1778511429\n        }\n    ],\n    \"total_count\": 99,\n    \"item_count\": 1\n}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511479598}}
{"type":"message","id":"65eca56d","parentId":"94bcc54f","timestamp":"2026-05-11T14:58:02.206Z","message":{"role":"assistant","content":[{"type":"text","text":"**Task 1 verified: Draft exists in the draft box!** ✅ Title, author (ai张三疯), digest all correct.\n\nNow let me proceed with **Task 2: Z-Blog website publishing**."},{"type":"toolCall","id":"call_00_4XhGP358Mj5KpSMbKphY9500","name":"exec","arguments":{"command":"python3 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/中国移动MoMA平台-20250511-v1.md -o /tmp/moma-article.html 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":919,"output":156,"cacheRead":25216,"cacheWrite":0,"totalTokens":26291,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511479600,"responseId":"d1748072-b8e0-41db-a895-3a2e3a26a035"}}
{"type":"message","id":"4b8455b8","parentId":"65eca56d","timestamp":"2026-05-11T14:58:02.416Z","message":{"role":"toolResult","toolCallId":"call_00_4XhGP358Mj5KpSMbKphY9500","toolName":"exec","content":[{"type":"text","text":"HTML 已保存到: /tmp/moma-article.html\n标题: 中国移动送2500万Token：运营商杀入AI战场，牌局开始变了"}],"details":{"status":"completed","exitCode":0,"durationMs":163,"aggregated":"HTML 已保存到: /tmp/moma-article.html\n标题: 中国移动送2500万Token：运营商杀入AI战场，牌局开始变了","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511482416}}
{"type":"message","id":"33ec2b7d","parentId":"4b8455b8","timestamp":"2026-05-11T14:58:03.500Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_lv4050WD1T3ikHgLePBD6440","name":"read","arguments":{"path":"/tmp/moma-article.html"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":98,"output":48,"cacheRead":26240,"cacheWrite":0,"totalTokens":26386,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511482418,"responseId":"12bf7371-641f-4063-b060-6c117f024070"}}
{"type":"message","id":"72dd3e60","parentId":"33ec2b7d","timestamp":"2026-05-11T14:58:03.546Z","message":{"role":"toolResult","toolCallId":"call_00_lv4050WD1T3ikHgLePBD6440","toolName":"read","content":[{"type":"text","text":"<h1>中国移动送2500万Token：运营商杀入AI战场，牌局开始变了</h1>\n<p>2500万免费Token，不绑信用卡，不搞套路，三网手机号都能领。</p>\n<p>中国移动的MoMA（一站式模型服务平台）就这么上线了。打开移动云官网，点\"免费畅享\"或\"模型观测\"，立即体验——甚至不需要你是移动用户，联通、电信的号码同样通行。</p>\n<p>这不是什么小的营销活动。这是中国运营商正式下场，加入AI基础设施的牌桌。</p>\n<h2 id=\"token\">免费Token，谁是下一个？</h2>\n<p>先简单说怎么领：移动云官网首页点\"免费畅享\"或进控制台找\"一站式模型服务平台→模型观测\"，就能开启免费体验。三网通行，三步搞定。</p>\n<p>但真正值得聊的，不是操作路径——</p>\n<p>是国内大模型赛道，\"免费送Token\"已经从营销手段变成了行业入场券。</p>\n<p>回头看，阿里云百炼平台送过、百度千帆送过、字节火山引擎也送过。各家大厂的逻辑出奇一致：先喂免费额度，培养开发者的API使用习惯，等你的应用跑在它家模型上，迁移成本高了，自然就是付费用户。</p>\n<p>现在中国移动杀进来，一亮牌也是2500万免费Token。这意味着一件事：<strong>Token分发已经从互联网大厂的游戏，变成了基础设施玩家的游戏。</strong></p>\n<h2 id=\"ai\">运营商做AI平台，优势在哪？</h2>\n<p>互联网大厂做AI平台，核心资产是技术——模型能力、算法积累、工程化经验。</p>\n<p>运营商做AI平台，核心资产是另一套东西：</p>\n<p><strong>第一，用户基数。</strong> 中国移动的移动用户接近10亿，政企客户数以百万计。MoMA首批开放的模型观测功能，说白了就是\"低门槛体验AI能力\"——这种面向海量用户的触达能力，互联网厂做不到。</p>\n<p><strong>第二，政企关系。</strong> 别低估这一点。中国有大量国企、央企、政府机构，AI采购的决策链条里，\"数字化合作伙伴\"天然倾向三大运营商。移动云本身就是国内TOP级的云服务商，现在云上叠一层AI平台，政企客户买AI就和买云服务一样顺理成章。</p>\n<p><strong>第三，数据管道。</strong> 运营商拥有全网最庞大的网络流量数据。虽然数据合规使用有红线，但在模型训练、行业场景优化上，这种管道优势是纯云厂商拿不到的。</p>\n<h2 id=\"_1\">免费背后的牌：在抢什么？</h2>\n<p>Token免费送的商业逻辑，从来不是\"做慈善\"。</p>\n<p>大厂送Token，抢的是<strong>开发者生态</strong>。OpenAI的API之所以成为全球标准，不是因为它便宜，而是因为早期开发者大量涌入、工具链围绕它构建、整个生态被它锁死。国内大厂打Token价格战，本质上是在复刻这个故事——谁先圈住开发者，谁就有护城河。</p>\n<p>中国移动送Token，抢的不只是开发者，更是<strong>政企市场的AI入口</strong>。</p>\n<p>想想看：一家中型国企想做AI客服，选谁？如果是自研，要么对接百度千帆、要么阿里百炼，要么用电信/移动/联通的AI平台。但后者有一个其他厂商没有的优势——<strong>他们已经在给这家企业提供通信和云服务了</strong>。多开一个AI能力的开关，采购流程几乎无缝。</p>\n<p>换句话说，<strong>Token价格战打到今天，已经不是技术问题，而是渠道问题。</strong> 运营商的线下渠道、政企服务网络、央企身份的信任背书，构成了AI分发的新通路。</p>\n<h2 id=\"_2\">创业者的机会：免费浪潮下怎么借势</h2>\n<p>对于AI创业者和中小企业来说，这种\"全民送Token\"的格局，短期看是巨大的红利。</p>\n<p>我的建议很直接：</p>\n<p><strong>多接几张牌，不要押注单一平台。</strong> 移动的2500万用完换阿里的、阿里的用完换百度的——在API接口标准化的前提下，不同模型各有特长，轮换用既能压低综合成本，也能避免被单一厂商锁定。</p>\n<p><strong>关注政企市场的入口机会。</strong> 移动MoMA这类平台本质上在做\"AI能力超市\"。如果你的产品能作为行业解决方案挂上去（比如金融领域的AI文档处理、医疗领域的智能问诊），就等于搭上了运营商分销的高速公路。这比你自己一家家BD高效得多。</p>\n<p><strong>别被免费绑架注意力。</strong> 免费Token帮你降低起步成本，但真正的竞争壁垒永远在场景和数据。拿到免费额度只是门票，怎么在具体的行业场景里构建数据飞轮，才是决定生死的事。</p>\n<hr>\n<p>Token价格战打到运营商下场，说明AI基础设施正在经历一次深刻的渠道革命。</p>\n<p>未来的格局可能是：互联网大厂拼模型能力，运营商拼分发网络，创业者在场景里赚认知差的钱。谁都想\"锁定\"你，但真正聪明的做法，是让所有人都来服务你。</p>\n<p>2500万Token只是开始。这个市场，才刚热起来。</p>\n"}],"isError":false,"timestamp":1778511483546}}
{"type":"message","id":"b43fc825","parentId":"72dd3e60","timestamp":"2026-05-11T14:58:05.474Z","message":{"role":"assistant","content":[{"type":"text","text":"HTML looks good. Now let me use XML-RPC to publish to Z-Blog. I'll write a quick script to do this."},{"type":"toolCall","id":"call_00_nRj7LKMFXrtUbM5CXpoY2598","name":"exec","arguments":{"command":"pip3 install python-xmlrpc 2>/dev/null; python3 -c \"import xmlrpc.client; print('xmlrpc available')\" 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1207,"output":105,"cacheRead":26368,"cacheWrite":0,"totalTokens":27680,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511483547,"responseId":"a105b419-cbe8-4c30-b137-3f7e481326ea"}}
{"type":"message","id":"20d48859","parentId":"b43fc825","timestamp":"2026-05-11T14:58:06.107Z","message":{"role":"toolResult","toolCallId":"call_00_nRj7LKMFXrtUbM5CXpoY2598","toolName":"exec","content":[{"type":"text","text":"xmlrpc available"}],"details":{"status":"completed","exitCode":0,"durationMs":580,"aggregated":"xmlrpc available","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511486107}}
{"type":"message","id":"9b4faab2","parentId":"20d48859","timestamp":"2026-05-11T14:58:13.508Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_5nsp29QelzQ1hprZMM2s1722","name":"write","arguments":{"path":"/tmp/publish_zb.py","content":"#!/usr/bin/env python3\n\"\"\"Publish HTML content to Z-Blog via XML-RPC\"\"\"\nimport xmlrpc.client\nimport sys\nimport json\n\n# Z-Blog XML-RPC\nurl = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\"\nusername = \"admin\"\npassword = \"135269zxj\"\nblog_id = \"68ba1ff10060dd54f1e399b8e332bdba\"\n\n# Read HTML\nwith open(\"/tmp/moma-article.html\", \"r\", encoding=\"utf-8\") as f:\n    html_content = f.read()\n\n# Extract title\ntitle = \"中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\"\n\n# MetaWeblog API\nserver = xmlrpc.client.ServerProxy(url)\n\n# Create the post structure\npost = {\n    \"title\": title,\n    \"description\": html_content,\n    \"categories\": [\"AI\"],\n    \"mt_keywords\": \"AI基础设施,Token价格战,运营商,中国移动,MoMA\",\n    \"mt_allow_comments\": 1,\n    \"mt_allow_pings\": 1,\n    \"post_type\": \"\",\n}\n\nprint(\"Publishing to Z-Blog...\")\ntry:\n    result = server.metaWeblog.newPost(blog_id, username, password, post, 1)  # publish=1\n    print(f\"Published! Post ID: {result}\")\nexcept Exception as e:\n    print(f\"Error: {e}\", file=sys.stderr)\n    sys.exit(1)\n\n# Verify\nprint(\"\\nVerifying recent posts...\")\ntry:\n    recent = server.metaWeblog.getRecentPosts(blog_id, username, password, 3)\n    for p in recent:\n        print(f\"  - [{p.get('dateCreated','')}] {p.get('title','')} (ID: {p.get('postid','')})\")\nexcept Exception as e:\n    print(f\"Verify error: {e}\", file=sys.stderr)\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":48,"output":495,"cacheRead":27648,"cacheWrite":0,"totalTokens":28191,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511486108,"responseId":"b7192bf0-c534-42b7-af25-292e54203b28"}}
{"type":"message","id":"8d35781d","parentId":"9b4faab2","timestamp":"2026-05-11T14:58:13.560Z","message":{"role":"toolResult","toolCallId":"call_00_5nsp29QelzQ1hprZMM2s1722","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1323 bytes to /tmp/publish_zb.py"}],"isError":false,"timestamp":1778511493560}}
{"type":"message","id":"5610ca06","parentId":"8d35781d","timestamp":"2026-05-11T14:58:14.749Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_6ctHcPNkFv3SMk4OJVx22007","name":"exec","arguments":{"command":"python3 /tmp/publish_zb.py 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":58,"output":71,"cacheRead":28160,"cacheWrite":0,"totalTokens":28289,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511493561,"responseId":"ec0a7a2b-24af-4986-bb30-e0bbf0965f82"}}
{"type":"message","id":"035498b0","parentId":"5610ca06","timestamp":"2026-05-11T14:58:15.779Z","message":{"role":"toolResult","toolCallId":"call_00_6ctHcPNkFv3SMk4OJVx22007","toolName":"exec","content":[{"type":"text","text":"Publishing to Z-Blog...\nPublished! Post ID: True\n\nVerifying recent posts...\n  - [2026-05-11T22:57:37+08:00] 中国移动送2500万Token：运营商杀入AI战场，牌局开始变了 (ID: 9564)\n  - [2026-05-11T17:59:46+08:00] 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来 (ID: 9560)\n  - [2026-05-11T12:02:07+08:00] 央媒杀入AI合规战场：新华网GEO智能体平台背后的深意 (ID: 9563)"}],"details":{"status":"completed","exitCode":0,"durationMs":985,"aggregated":"Publishing to Z-Blog...\nPublished! Post ID: True\n\nVerifying recent posts...\n  - [2026-05-11T22:57:37+08:00] 中国移动送2500万Token：运营商杀入AI战场，牌局开始变了 (ID: 9564)\n  - [2026-05-11T17:59:46+08:00] 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来 (ID: 9560)\n  - [2026-05-11T12:02:07+08:00] 央媒杀入AI合规战场：新华网GEO智能体平台背后的深意 (ID: 9563)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778511495779}}
{"type":"message","id":"7ced02db","parentId":"035498b0","timestamp":"2026-05-11T14:58:21.336Z","message":{"role":"assistant","content":[{"type":"text","text":"**Task 2: Z-Blog publishing succeeded!** Post ID: 9564. Now let me write the publish log."},{"type":"toolCall","id":"call_00_Tyg5p9kYIxOfUA4KTf9b4246","name":"write","arguments":{"path":"/root/.openclaw/workspace/fabu/publish-log.md","content":"# 发布日志\n\n## 2026-05-11 22:57\n\n### 文章：中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\n\n**站点：创业思维网 (weixinsiwei.com)**\n- 发布状态：✅ 已发布\n- 文章ID：9564\n- 标题：中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\n- 分类：AI\n- 标签：AI基础设施, Token价格战, 运营商, 中国移动, MoMA\n- 发布URL：https://weixinsiwei.com/\n- 验证：已通过 getRecentPosts 验证\n\n**公众号：创业张三疯**\n- 发布状态：✅ 已发布到草稿箱\n- media_id：imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz\n- 作者：ai张三疯\n- 封面图：imgs/cover-moma.jpg\n- 验证：已通过草稿箱API验证\n\n### 发布方式\n- HTML转换：md2html.py\n- 公众号发布：wechat-api.ts (Env vars方式传参)\n- 网站发布：Z-Blog XML-RPC (metaWeblog.newPost)\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":169,"output":398,"cacheRead":28288,"cacheWrite":0,"totalTokens":28855,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778511495781,"responseId":"b7909376-0141-4902-b8f9-697d872e2297"}}
{"type":"message","id":"8ed56f05","parentId":"7ced02db","timestamp":"2026-05-11T14:58:21.381Z","message":{"role":"toolResult","toolCallId":"call_00_Tyg5p9kYIxOfUA4KTf9b4246","toolName":"write","content":[{"type":"text","text":"Successfully wrote 543 bytes to /root/.openclaw/workspace/fabu/publish-log.md"}],"isError":false,"timestamp":1778511501381}}
{"type":"message","id":"6db4c745","parentId":"8ed56f05","timestamp":"2026-05-11T14:58:26.689Z","message":{"role":"assistant","content":[{"type":"text","text":"Both tasks completed successfully. Here's the summary:\n\n---\n\n## ✅ 发布完成\n\n**文章标题**：中国移动送2500万Token：运营商杀入AI战场，牌局开始变了\n\n### 任务1：公众号发布（创业张三疯）✅\n- 通过 `wechat-api.ts` + 环境变量方式传入凭证\n- 主题 `default`，配色 `blue`，作者 `ai张三疯`，封面图 `cover-moma.jpg`\n- **已发布到草稿箱**，media_id: `imBwNhfy9Uv4ps2luE5gfvmMRpo0OdW1fUpJm--HzJEnHrCPLxk5qXk29qY33QJz`\n- **已验证**：草稿箱API查询返回标题、作者、摘要均正确\n\n### 任务2：网站发布（创业思维网 weixinsiwei.com）✅\n- 通过 `md2html.py` 将MD转换为完整HTML保存到 `/tmp/moma-article.html`\n- 通过 Z-Blog XML-RPC (`metaWeblog.newPost`) 发布，分类 `AI`，标签 `AI基础设施,Token价格战,运营商,中国移动,MoMA`\n- **已发布**，文章ID: **9564**\n- **已验证**：`getRecentPosts` 返回确认\n\n### 发布日志\n已写入 `/root/.openclaw/workspace/fabu/publish-log.md`"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":89,"output":314,"cacheRead":28800,"cacheWrite":0,"totalTokens":29203,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1778511501383,"responseId":"e4d72873-a849-4e85-91f4-cb2bcf9f15f5"}}