{"type":"session","version":3,"id":"be6f5d8c-b3eb-40f7-a730-c31ce13d0f7a","timestamp":"2026-05-21T09:02:45.432Z","cwd":"/root/.openclaw/workspace/fabu"}
{"type":"model_change","id":"f28ca466","parentId":null,"timestamp":"2026-05-21T09:02:45.442Z","provider":"deepseek","modelId":"deepseek-chat"}
{"type":"thinking_level_change","id":"cf6fdc9a","parentId":"f28ca466","timestamp":"2026-05-21T09:02:45.442Z","thinkingLevel":"off"}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1779354165461,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"18485ddd","parentId":"cf6fdc9a","timestamp":"2026-05-21T09:02:45.461Z"}
{"type":"message","id":"22a78e3b","parentId":"18485ddd","timestamp":"2026-05-21T09:02:45.509Z","message":{"role":"user","content":[{"type":"text","text":"[Thu 2026-05-21 17:02 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":1779354165466}}
{"type":"message","id":"0bf861c7","parentId":"22a78e3b","timestamp":"2026-05-21T09:02:48.338Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me start by reading the article file and the wechat-api script to understand the setup."},{"type":"toolCall","id":"call_00_cARatvgrIA1aCe3yTWqp8418","name":"read","arguments":{"path":"~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-21/Marvis腾讯AI助手.md"}},{"type":"toolCall","id":"call_01_mFWst74iOP2HNIUgY4Ds0973","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":4684,"output":146,"cacheRead":7168,"cacheWrite":0,"totalTokens":11998,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354165509,"responseId":"d395e394-2eb5-42c8-838d-587cded856b7"}}
{"type":"message","id":"b8875f0e","parentId":"0bf861c7","timestamp":"2026-05-21T09:02:48.512Z","message":{"role":"toolResult","toolCallId":"call_00_cARatvgrIA1aCe3yTWqp8418","toolName":"read","content":[{"type":"text","text":"\n# 腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\n\n想象这样一个场景：\n\n你在Mac上做方案，手机上收到微信文件，另一个应用弹窗说软件需要更新。你手忙脚乱地切来切去。\n\n这时候，你对着桌面说了一句：\"帮我把微信那个附件存到桌面的项目文件夹，顺便把系统自动更新关了。\"\n\n然后——它真的帮你做了。\n\n这不是科幻片。这是腾讯昨天发布的Marvis（马维斯）。\n\n\n## 一、它不是又一个聊天机器人\n\n5月20日，腾讯正式上线了一款叫Marvis的产品。中文名马维斯，听起来是不是有点耳熟？\n\n没错，灵感来自钢铁侠的贾维斯（Jarvis）。\n\n但它不是个\"聊天的\"。腾讯的定位很明确：**操作系统层级的AI助手**。不是给你聊天的，是替你干活的。\n\n怎么理解\"操作系统层级\"？\n\n市面上绝大多数AI产品，包括元宝、豆包、Kimi，都是运行在应用层的东西——你需要打开一个App，输入问题，它给你答案。它像一本会说话的百科全书。\n\nMarvis不一样。它被设计为操作系统之上的一个\"中间层\"，能够直接调用你的文件系统、系统设置、各种应用、浏览器，甚至远程连到你的另一台设备。\n\n想象一下：如果传统AI是\"你给我一个指令，我给你一段文字\"，那Marvis就是\"你给我一个目标，我给你一个结果\"。\n\n比如你说\"整理一下这周的会议纪要\"，它会自动去文件夹里把文档翻出来，扫码分析内容，汇总成一份表格，再发到你指定的人。全程不需要你动一次鼠标。\n\n目前Marvis预置了6个Agent组成一个\"AI团队\"：一个主Agent负责统筹调度，File Agent管文件处理，Computer Agent管系统配置，App Agent调取应用，Browser Agent玩转网页，Search Agent负责网络搜索。每一个都是专业分工，装机即用，零配置上手。\n\n\n## 二、两个模式：既要能干，又要安全\n\n你可能会问：一个能碰你文件的AI，安全吗？\n\n这确实是所有桌面AI助手最头疼的问题。Marvis的解法是给了你两个模式：\n\n**效率模式**——端云协同，AI替你代劳那些繁琐的操作。适合日常办公场景。\n\n**隐私模式**——所有数据解析、图片识别、对话都完全在本地完成，不上云，断网也能用。而且一旦涉及到隐私文件、安全性操作、支付等关键环节，系统会主动弹窗让你确认。\n\n这是很聪明的设计。财务、法务、HR处理的是高度敏感的数据，你不能让他们的文件跑到云端去。但日常场景又需要云端的算力来保证响应速度和能力。两个模式，一个产品，兼顾了。\n\n每天还有1000万免费Token的额度——对绝大多数人来说，基本等于免费用了。\n\n\n## 三、跨端协同：手机远程\"操控\"电脑\n\nMarvis目前支持Windows、Mac、安卓三端，iOS预计6月上线。\n\n最有趣的能力是\"手机远程接管电脑\"。\n\n想想看：你下班到家，突然想起来电脑上一个文件忘了发给客户。以前你得跑回办公室，或者让人帮忙开电脑。现在只要在手机上对Marvis说一句，它就能远程打开你的电脑，找到文件，发出去。\n\n它不是简单的远程桌面——那种画面卡顿、操作延迟的东西。它是一个AI在做那些事情，它会\"看\"你的桌面、\"点\"你的图标、\"拖\"你的文件。只不过它在替你操作，而不是在远程让你自己操作。\n\n这两个体验天差地别。\n\n\n## 四、市场格局：都在抢\"替你干活\"这个金矿\n\nMarvis不是第一个吃螃蟹的。\n\n去年底，海外开源项目火爆了一波，界面图标是红色龙虾，被国内网友叫做\"小龙虾AI\"。它的核心理念就是让AI接管电脑、24小时替你干活。\n\n随后，Anthropic推出了Cowork，定位是安全可控的桌面AI文员。阿里发布了QoderWork，阶跃星辰推出了AI桌面伙伴，MiniMax也入局了。再加上腾讯的QClaw（电脑管家里的远程AI助手），这条赛道已经挤满了选手。\n\n但仔细看，大家的打法不太一样：\n\n- **小龙虾AI**走的是开源路线，灵活但安全性依赖第三方\n- **Cowork**强在对底层安全的控制，但功能更偏向企业级\n- **QoderWork**主打开发者的代码场景\n- **Marvis**走的是\"操作系统级\"的路子，把AI做成系统的一部分，而不是一个独立App\n\n腾讯还有一个其他人没有的优势：**跨端协同和微信生态**。Marvis不仅跨PC端和手机端，还能天然调用微信的能力——收发文件、对接企微、消息推送。这层\"生态红利\"，是其他产品短期追不上的。\n\n\n## 五、这意味着什么？\n\n对普通人来说，Marvis的意义在于：**你终于不用学会所有工具才能用好工具了**。\n\n以前换一台新电脑，要安装软件、配置环境、学习快捷键。Marvis靠说的就行。你说\"帮我把这台电脑配置成开发环境\"，它就去装语言、配环境、下IDE，全程对话即可。\n\n对一个创业者或中小团队来说，这就是在节约管理成本。\n\n想想看，你的团队里有多少时间花在了\"被工具分散注意力\"上？找文件、切窗口、调配置、同步数据——这些看似琐碎的操作，一天下来可能占了30%以上的工作时间。\n\nMarvis能做的，就是把这些\"脏活累活\"接过去，让人去做真正需要判断力的事。\n\n当然，挑战也明摆着：系统级权限意味着更高安全要求；跨端协同意味着更复杂的底层能力；而让用户真正信任一个可以操作自己电脑的AI，还需要时间。\n\n但方向已经很清晰了：**AI正在从\"跟你聊天\"走向\"替你干活\"**。\n\nMarvis不是终端产品。它是一个信号——2026年，桌面AI助手正在从\"玩具\"变成\"工具\"。\n\n而当你还在犹豫时，你的电脑已经有人替你在用了。\n\n\n## 六、一句话收尾\n\n腾讯做了个\"贾维斯\"，但真正重要的不是这个名字。重要的是：**\"AI替你干活\"这件事，不再是概念了**。\n\n\n---\n**一人公司，从想法到赚钱，其实没有那么难。**\n\n![广告海报](https://weixinsiwei.com/zb_users/upload/2026/05/84850393b2efb63633d3fdfd9a6e21b4.jpg)\n"}],"isError":false,"timestamp":1779354168512}}
{"type":"message","id":"c206879b","parentId":"b8875f0e","timestamp":"2026-05-21T09:02:48.512Z","message":{"role":"toolResult","toolCallId":"call_01_mFWst74iOP2HNIUgY4Ds0973","toolName":"read","content":[{"type":"text","text":"---\nname: feishu-doc\ndescription: |\n  Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.\n---\n\n# Feishu Document Tool\n\nSingle tool `feishu_doc` with action parameter for all document operations, including table creation for Docx.\n\n## Token Extraction\n\nFrom URL `https://xxx.feishu.cn/docx/ABC123def` → `doc_token` = `ABC123def`\n\n## Actions\n\n### Read Document\n\n```json\n{ \"action\": \"read\", \"doc_token\": \"ABC123def\" }\n```\n\nReturns: title, plain text content, block statistics. Check `hint` field - if present, structured content (tables, images) exists that requires `list_blocks`.\n\n### Write Document (Replace All)\n\n```json\n{ \"action\": \"write\", \"doc_token\": \"ABC123def\", \"content\": \"# Title\\n\\nMarkdown content...\" }\n```\n\nReplaces entire document with markdown content. Supports: headings, lists, code blocks, quotes, links, images (`![](url)` auto-uploaded), bold/italic/strikethrough.\n\n**Limitation:** Markdown tables are NOT supported.\n\n### Append Content\n\n```json\n{ \"action\": \"append\", \"doc_token\": \"ABC123def\", \"content\": \"Additional content\" }\n```\n\nAppends markdown to end of document.\n\n### Create Document\n\n```json\n{ \"action\": \"create\", \"title\": \"New Document\", \"owner_open_id\": \"ou_xxx\" }\n```\n\nWith folder:\n\n```json\n{\n  \"action\": \"create\",\n  \"title\": \"New Document\",\n  \"folder_token\": \"fldcnXXX\",\n  \"owner_open_id\": \"ou_xxx\"\n}\n```\n\n**Important:** Always pass `owner_open_id` with the requesting user's `open_id` (from inbound metadata `sender_id`) so the user automatically gets `full_access` permission on the created document. Without this, only the bot app has access.\n\n### List Blocks\n\n```json\n{ \"action\": \"list_blocks\", \"doc_token\": \"ABC123def\" }\n```\n\nReturns full block data including tables, images. Use this to read structured content.\n\n### Get Single Block\n\n```json\n{ \"action\": \"get_block\", \"doc_token\": \"ABC123def\", \"block_id\": \"doxcnXXX\" }\n```\n\n### Update Block Text\n\n```json\n{\n  \"action\": \"update_block\",\n  \"doc_token\": \"ABC123def\",\n  \"block_id\": \"doxcnXXX\",\n  \"content\": \"New text\"\n}\n```\n\n### Delete Block\n\n```json\n{ \"action\": \"delete_block\", \"doc_token\": \"ABC123def\", \"block_id\": \"doxcnXXX\" }\n```\n\n### Create Table (Docx Table Block)\n\n```json\n{\n  \"action\": \"create_table\",\n  \"doc_token\": \"ABC123def\",\n  \"row_size\": 2,\n  \"column_size\": 2,\n  \"column_width\": [200, 200]\n}\n```\n\nOptional: `parent_block_id` to insert under a specific block.\n\n### Write Table Cells\n\n```json\n{\n  \"action\": \"write_table_cells\",\n  \"doc_token\": \"ABC123def\",\n  \"table_block_id\": \"doxcnTABLE\",\n  \"values\": [\n    [\"A1\", \"B1\"],\n    [\"A2\", \"B2\"]\n  ]\n}\n```\n\n### Create Table With Values (One-step)\n\n```json\n{\n  \"action\": \"create_table_with_values\",\n  \"doc_token\": \"ABC123def\",\n  \"row_size\": 2,\n  \"column_size\": 2,\n  \"column_width\": [200, 200],\n  \"values\": [\n    [\"A1\", \"B1\"],\n    [\"A2\", \"B2\"]\n  ]\n}\n```\n\nOptional: `parent_block_id` to insert under a specific block.\n\n### Upload Image to Docx (from URL or local file)\n\n```json\n{\n  \"action\": \"upload_image\",\n  \"doc_token\": \"ABC123def\",\n  \"url\": \"https://example.com/image.png\"\n}\n```\n\nOr local path with position control:\n\n```json\n{\n  \"action\": \"upload_image\",\n  \"doc_token\": \"ABC123def\",\n  \"file_path\": \"/tmp/image.png\",\n  \"parent_block_id\": \"doxcnParent\",\n  \"index\": 5\n}\n```\n\nOptional `index` (0-based) inserts the image at a specific position among sibling blocks. Omit to append at end.\n\n**Note:** Image display size is determined by the uploaded image's pixel dimensions. For small images (e.g. 480x270 GIFs), scale to 800px+ width before uploading to ensure proper display.\n\n### Upload File Attachment to Docx (from URL or local file)\n\n```json\n{\n  \"action\": \"upload_file\",\n  \"doc_token\": \"ABC123def\",\n  \"url\": \"https://example.com/report.pdf\"\n}\n```\n\nOr local path:\n\n```json\n{\n  \"action\": \"upload_file\",\n  \"doc_token\": \"ABC123def\",\n  \"file_path\": \"/tmp/report.pdf\",\n  \"filename\": \"Q1-report.pdf\"\n}\n```\n\nRules:\n\n- exactly one of `url` / `file_path`\n- optional `filename` override\n- optional `parent_block_id`\n\n## Reading Workflow\n\n1. Start with `action: \"read\"` - get plain text + statistics\n2. Check `block_types` in response for Table, Image, Code, etc.\n3. If structured content exists, use `action: \"list_blocks\"` for full data\n\n## Configuration\n\n```yaml\nchannels:\n  feishu:\n    tools:\n      doc: true # default: true\n```\n\n**Note:** `feishu_wiki` depends on this tool - wiki page content is read/written via `feishu_doc`.\n\n## Permissions\n\nRequired: `docx:document`, `docx:document:readonly`, `docx:document.block:convert`, `drive:drive`\n"}],"isError":false,"timestamp":1779354168512}}
{"type":"message","id":"5452bb44","parentId":"c206879b","timestamp":"2026-05-21T09:02:51.453Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, I have the article content. Now let me look at the wechat-api script and the HTML template to understand the publishing mechanism."},{"type":"toolCall","id":"call_00_RwmNqeKksK1YKg0IgsNs3530","name":"exec","arguments":{"command":"find ~/.openclaw/agents/101/workspace/post-to-wechat -type f | head -60"}},{"type":"toolCall","id":"call_01_fmKXEuQpSs5EJstJx6fZ6337","name":"exec","arguments":{"command":"ls /tmp/marvis.html 2>/dev/null && cat /tmp/marvis.html | head -20 || echo \"HTML not found\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2909,"output":151,"cacheRead":11776,"cacheWrite":0,"totalTokens":14836,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354168513,"responseId":"860eb24b-6b90-4f07-a50c-96dbd8ea0075"}}
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{"type":"message","id":"af1e4240","parentId":"4d8bda90","timestamp":"2026-05-21T09:02:51.762Z","message":{"role":"toolResult","toolCallId":"call_01_fmKXEuQpSs5EJstJx6fZ6337","toolName":"exec","content":[{"type":"text","text":"/tmp/marvis.html\n<h1>腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？</h1>\n<p>想象这样一个场景：</p>\n<p>你在Mac上做方案，手机上收到微信文件，另一个应用弹窗说软件需要更新。你手忙脚乱地切来切去。</p>\n<p>这时候，你对着桌面说了一句：\"帮我把微信那个附件存到桌面的项目文件夹，顺便把系统自动更新关了。\"</p>\n<p>然后——它真的帮你做了。</p>\n<p>这不是科幻片。这是腾讯昨天发布的Marvis（马维斯）。</p>\n<h2 id=\"_1\">一、它不是又一个聊天机器人</h2>\n<p>5月20日，腾讯正式上线了一款叫Marvis的产品。中文名马维斯，听起来是不是有点耳熟？</p>\n<p>没错，灵感来自钢铁侠的贾维斯（Jarvis）。</p>\n<p>但它不是个\"聊天的\"。腾讯的定位很明确：<strong>操作系统层级的AI助手</strong>。不是给你聊天的，是替你干活的。</p>\n<p>怎么理解\"操作系统层级\"？</p>\n<p>市面上绝大多数AI产品，包括元宝、豆包、Kimi，都是运行在应用层的东西——你需要打开一个App，输入问题，它给你答案。它像一本会说话的百科全书。</p>\n<p>Marvis不一样。它被设计为操作系统之上的一个\"中间层\"，能够直接调用你的文件系统、系统设置、各种应用、浏览器，甚至远程连到你的另一台设备。</p>\n<p>想象一下：如果传统AI是\"你给我一个指令，我给你一段文字\"，那Marvis就是\"你给我一个目标，我给你一个结果\"。</p>\n<p>比如你说\"整理一下这周的会议纪要\"，它会自动去文件夹里把文档翻出来，扫码分析内容，汇总成一份表格，再发到你指定的人。全程不需要你动一次鼠标。</p>\n<p>目前Marvis预置了6个Agent组成一个\"AI团队\"：一个主Agent负责统筹调度，File Agent管文件处理，Computer Agent管系统配置，App Agent调取应用，Browser Agent玩转网页，Search Agent负责网络搜索。每一个都是专业分工，装机即用，零配置上手。</p>\n<h2 id=\"_2\">二、两个模式：既要能干，又要安全</h2>\n<p>你可能会问：一个能碰你文件的AI，安全吗？</p>\n<p>这确实是所有桌面AI助手最头疼的问题。Marvis的解法是给了你两个模式：</p>\n<p><strong>效率模式</strong>——端云协同，AI替你代劳那些繁琐的操作。适合日常办公场景。</p>"}],"details":{"status":"completed","exitCode":0,"durationMs":182,"aggregated":"/tmp/marvis.html\n<h1>腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？</h1>\n<p>想象这样一个场景：</p>\n<p>你在Mac上做方案，手机上收到微信文件，另一个应用弹窗说软件需要更新。你手忙脚乱地切来切去。</p>\n<p>这时候，你对着桌面说了一句：\"帮我把微信那个附件存到桌面的项目文件夹，顺便把系统自动更新关了。\"</p>\n<p>然后——它真的帮你做了。</p>\n<p>这不是科幻片。这是腾讯昨天发布的Marvis（马维斯）。</p>\n<h2 id=\"_1\">一、它不是又一个聊天机器人</h2>\n<p>5月20日，腾讯正式上线了一款叫Marvis的产品。中文名马维斯，听起来是不是有点耳熟？</p>\n<p>没错，灵感来自钢铁侠的贾维斯（Jarvis）。</p>\n<p>但它不是个\"聊天的\"。腾讯的定位很明确：<strong>操作系统层级的AI助手</strong>。不是给你聊天的，是替你干活的。</p>\n<p>怎么理解\"操作系统层级\"？</p>\n<p>市面上绝大多数AI产品，包括元宝、豆包、Kimi，都是运行在应用层的东西——你需要打开一个App，输入问题，它给你答案。它像一本会说话的百科全书。</p>\n<p>Marvis不一样。它被设计为操作系统之上的一个\"中间层\"，能够直接调用你的文件系统、系统设置、各种应用、浏览器，甚至远程连到你的另一台设备。</p>\n<p>想象一下：如果传统AI是\"你给我一个指令，我给你一段文字\"，那Marvis就是\"你给我一个目标，我给你一个结果\"。</p>\n<p>比如你说\"整理一下这周的会议纪要\"，它会自动去文件夹里把文档翻出来，扫码分析内容，汇总成一份表格，再发到你指定的人。全程不需要你动一次鼠标。</p>\n<p>目前Marvis预置了6个Agent组成一个\"AI团队\"：一个主Agent负责统筹调度，File Agent管文件处理，Computer Agent管系统配置，App Agent调取应用，Browser Agent玩转网页，Search Agent负责网络搜索。每一个都是专业分工，装机即用，零配置上手。</p>\n<h2 id=\"_2\">二、两个模式：既要能干，又要安全</h2>\n<p>你可能会问：一个能碰你文件的AI，安全吗？</p>\n<p>这确实是所有桌面AI助手最头疼的问题。Marvis的解法是给了你两个模式：</p>\n<p><strong>效率模式</strong>——端云协同，AI替你代劳那些繁琐的操作。适合日常办公场景。</p>","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354171761}}
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{"type":"message","id":"9ccf36c0","parentId":"d5a23a05","timestamp":"2026-05-21T09:03:02.120Z","message":{"role":"toolResult","toolCallId":"call_02_tAOcTWb1Gq5VlZxQRzPC3020","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/workspace/fabu/wechat-api.ts\n/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":5454,"aggregated":"/root/.openclaw/workspace/fabu/wechat-api.ts\n/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":1779354182118}}
{"type":"message","id":"590eb72e","parentId":"9ccf36c0","timestamp":"2026-05-21T09:03:05.949Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me look at the wechat-api.ts script and one of the previous publish JS files to understand the patterns."},{"type":"toolCall","id":"call_00_s6lSfOUIbu7QX9En1xUV7357","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}},{"type":"toolCall","id":"call_01_jBlAn0FrDCsmWiwW7ThK6743","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-18/publish-北汽创业思维.js"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":21526,"output":154,"cacheRead":17664,"cacheWrite":0,"totalTokens":39344,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354182123,"responseId":"56720e4d-dd6e-4480-b7c6-a4d1ac4cb555"}}
{"type":"message","id":"31e3b798","parentId":"590eb72e","timestamp":"2026-05-21T09:03:06.134Z","message":{"role":"toolResult","toolCallId":"call_00_s6lSfOUIbu7QX9En1xUV7357","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: ${err instanceof Error ? err.message : String(err)}`);\n  process.exit(1);\n});\n[... 5641 more characters truncated]"}],"isError":false,"timestamp":1779354186133}}
{"type":"message","id":"df1c95e1","parentId":"31e3b798","timestamp":"2026-05-21T09:03:06.134Z","message":{"role":"toolResult","toolCallId":"call_01_jBlAn0FrDCsmWiwW7ThK6743","toolName":"read","content":[{"type":"text","text":"const fs = require('fs');\nconst path = require('path');\n\nconst XMLRPC_URL = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst USERNAME = 'admin';\nconst PASSWORD = '***';\nconst BLOG_ID = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst htmlContent = fs.readFileSync('/tmp/北汽创业思维.html', 'utf-8');\n\nfunction escapeXml(s) {\n  return String(s).replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;')\n    .replace(/\"/g, '&quot;').replace(/'/g, '&apos;');\n}\n\nfunction valueToXml(v) {\n  if (typeof v === 'number') return `<value><int>${v}</int></value>`;\n  if (typeof v === 'boolean') return `<value><boolean>${v ? 1 : 0}</boolean></value>`;\n  if (v instanceof Date) {\n    const iso = v.toISOString().replace(/\\.\\d{3}Z/, '');\n    return `<value><dateTime.iso8601>${iso}</dateTime.iso8601></value>`;\n  }\n  if (typeof v === 'string') return `<value><string>${escapeXml(v)}</string></value>`;\n  if (Array.isArray(v)) return `<value><array><data>${v.map(valueToXml).join('')}</data></array></value>`;\n  if (typeof v === 'object') {\n    return `<value><struct>${Object.entries(v).map(([k, val]) =>\n      `<member><name>${k}</name>${valueToXml(val)}</member>`\n    ).join('')}</struct></value>`;\n  }\n  return '<value><string></string></value>';\n}\n\nfunction buildXmlRpc(methodName, params) {\n  return `<?xml version=\"1.0\"?>\n<methodCall>\n  <methodName>${methodName}</methodName>\n  <params>${params.map(p => `<param>${valueToXml(p)}</param>`).join('')}</params>\n</methodCall>`;\n}\n\nasync function call(methodName, params) {\n  const res = await fetch(XMLRPC_URL, {\n    method: 'POST',\n    headers: { 'Content-Type': 'text/xml' },\n    body: buildXmlRpc(methodName, params)\n  });\n  const text = await res.text();\n  const faultMatch = text.match(/<fault>[\\s\\S]*?<\\/fault>/);\n  if (faultMatch) {\n    const msg = text.match(/<string>([^<]*)<\\/string>/);\n    throw new Error(`XML-RPC Fault: ${msg ? msg[1] : 'Unknown'}`);\n  }\n  return text;\n}\n\nasync function main() {\n  const title = \"北汽高管说\\\"国企要有创业思维\\\"——但90%的人都理解错了\\\"创业思维\\\"\";\n\n  const post = {\n    title: title,\n    description: htmlContent,\n    mt_allow_comments: 1,\n    mt_allow_pings: 1,\n    categories: ['创业', '管理'],\n    dateCreated: new Date().toISOString()\n  };\n\n  console.log(`Publishing: \"${title}\" (${htmlContent.length} chars)`);\n\n  const result = await call('metaWeblog.newPost', [BLOG_ID, USERNAME, PASSWORD, post, true]);\n  console.log('newPost response:', result.substring(0, 500));\n\n  // Verify\n  const recent = await call('metaWeblog.getRecentPosts', [BLOG_ID, USERNAME, PASSWORD, 5]);\n  const titleMatch = recent.match(/<name>title<\\/name><value><string>([^<]*)<\\/string><\\/value>/);\n  if (titleMatch) {\n    console.log('\\n✅ Verified post title:', titleMatch[1]);\n  }\n}\n\nmain().catch(console.error);\n"}],"isError":false,"timestamp":1779354186133}}
{"type":"message","id":"c48757bb","parentId":"df1c95e1","timestamp":"2026-05-21T09:03:09.207Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I understand the patterns. Let me proceed with both publications. First the WeChat API, then the website. Let me check the cover image exists first."},{"type":"toolCall","id":"call_00_1wHqJuM1LbttH2YtxQYd1528","name":"exec","arguments":{"command":"ls -la /root/imgs/default/cover.jpg 2>/dev/null || echo \"Not found\"\nls -la /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-21/ 2>/dev/null || echo \"Dir not found\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":6917,"output":134,"cacheRead":39296,"cacheWrite":0,"totalTokens":46347,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354186138,"responseId":"8f4b3792-a0a1-4e43-a582-7609d0c2627c"}}
{"type":"message","id":"12173f2d","parentId":"c48757bb","timestamp":"2026-05-21T09:03:09.398Z","message":{"role":"toolResult","toolCallId":"call_00_1wHqJuM1LbttH2YtxQYd1528","toolName":"exec","content":[{"type":"text","text":"-rw-r--r-- 1 root root 243462 May 21 09:15 /root/imgs/default/cover.jpg\ntotal 48\ndrwxr-xr-x  2 root root 4096 May 21 17:02 .\ndrwxr-xr-x 25 root root 4096 May 21 09:14 ..\n-rw-r--r--  1 root root 6314 May 21 17:02 Marvis腾讯AI助手.md\n-rw-r--r--  1 root root 5354 May 21 09:14 OPC一人公司创业贷.md\n-rw-r--r--  1 root root 7174 May 21 16:31 妙鸭相机解散.md\n-rw-r--r--  1 root root 5809 May 21 09:14 手搓创业新赛道.md\n-rw-r--r--  1 root root 7277 May 21 11:18 马斯克AI超越人类.md"}],"details":{"status":"completed","exitCode":0,"durationMs":100,"aggregated":"-rw-r--r-- 1 root root 243462 May 21 09:15 /root/imgs/default/cover.jpg\ntotal 48\ndrwxr-xr-x  2 root root 4096 May 21 17:02 .\ndrwxr-xr-x 25 root root 4096 May 21 09:14 ..\n-rw-r--r--  1 root root 6314 May 21 17:02 Marvis腾讯AI助手.md\n-rw-r--r--  1 root root 5354 May 21 09:14 OPC一人公司创业贷.md\n-rw-r--r--  1 root root 7174 May 21 16:31 妙鸭相机解散.md\n-rw-r--r--  1 root root 5809 May 21 09:14 手搓创业新赛道.md\n-rw-r--r--  1 root root 7277 May 21 11:18 马斯克AI超越人类.md","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354189398}}
{"type":"message","id":"99d60da6","parentId":"12173f2d","timestamp":"2026-05-21T09:03:11.672Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, both exist. Now let me also check the advertisment image URL is valid, and the HTML template is at `/tmp/marvis.html`."},{"type":"toolCall","id":"call_00_ewqKyGhFDMvW8QpAvkWD3241","name":"read","arguments":{"path":"/tmp/marvis.html","limit":100}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":234,"output":93,"cacheRead":46336,"cacheWrite":0,"totalTokens":46663,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354189402,"responseId":"f2847790-4caf-43c0-9f3d-440839cda283"}}
{"type":"message","id":"405fbd9c","parentId":"99d60da6","timestamp":"2026-05-21T09:03:11.763Z","message":{"role":"toolResult","toolCallId":"call_00_ewqKyGhFDMvW8QpAvkWD3241","toolName":"read","content":[{"type":"text","text":"<h1>腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？</h1>\n<p>想象这样一个场景：</p>\n<p>你在Mac上做方案，手机上收到微信文件，另一个应用弹窗说软件需要更新。你手忙脚乱地切来切去。</p>\n<p>这时候，你对着桌面说了一句：\"帮我把微信那个附件存到桌面的项目文件夹，顺便把系统自动更新关了。\"</p>\n<p>然后——它真的帮你做了。</p>\n<p>这不是科幻片。这是腾讯昨天发布的Marvis（马维斯）。</p>\n<h2 id=\"_1\">一、它不是又一个聊天机器人</h2>\n<p>5月20日，腾讯正式上线了一款叫Marvis的产品。中文名马维斯，听起来是不是有点耳熟？</p>\n<p>没错，灵感来自钢铁侠的贾维斯（Jarvis）。</p>\n<p>但它不是个\"聊天的\"。腾讯的定位很明确：<strong>操作系统层级的AI助手</strong>。不是给你聊天的，是替你干活的。</p>\n<p>怎么理解\"操作系统层级\"？</p>\n<p>市面上绝大多数AI产品，包括元宝、豆包、Kimi，都是运行在应用层的东西——你需要打开一个App，输入问题，它给你答案。它像一本会说话的百科全书。</p>\n<p>Marvis不一样。它被设计为操作系统之上的一个\"中间层\"，能够直接调用你的文件系统、系统设置、各种应用、浏览器，甚至远程连到你的另一台设备。</p>\n<p>想象一下：如果传统AI是\"你给我一个指令，我给你一段文字\"，那Marvis就是\"你给我一个目标，我给你一个结果\"。</p>\n<p>比如你说\"整理一下这周的会议纪要\"，它会自动去文件夹里把文档翻出来，扫码分析内容，汇总成一份表格，再发到你指定的人。全程不需要你动一次鼠标。</p>\n<p>目前Marvis预置了6个Agent组成一个\"AI团队\"：一个主Agent负责统筹调度，File Agent管文件处理，Computer Agent管系统配置，App Agent调取应用，Browser Agent玩转网页，Search Agent负责网络搜索。每一个都是专业分工，装机即用，零配置上手。</p>\n<h2 id=\"_2\">二、两个模式：既要能干，又要安全</h2>\n<p>你可能会问：一个能碰你文件的AI，安全吗？</p>\n<p>这确实是所有桌面AI助手最头疼的问题。Marvis的解法是给了你两个模式：</p>\n<p><strong>效率模式</strong>——端云协同，AI替你代劳那些繁琐的操作。适合日常办公场景。</p>\n<p><strong>隐私模式</strong>——所有数据解析、图片识别、对话都完全在本地完成，不上云，断网也能用。而且一旦涉及到隐私文件、安全性操作、支付等关键环节，系统会主动弹窗让你确认。</p>\n<p>这是很聪明的设计。财务、法务、HR处理的是高度敏感的数据，你不能让他们的文件跑到云端去。但日常场景又需要云端的算力来保证响应速度和能力。两个模式，一个产品，兼顾了。</p>\n<p>每天还有1000万免费Token的额度——对绝大多数人来说，基本等于免费用了。</p>\n<h2 id=\"_3\">三、跨端协同：手机远程\"操控\"电脑</h2>\n<p>Marvis目前支持Windows、Mac、安卓三端，iOS预计6月上线。</p>\n<p>最有趣的能力是\"手机远程接管电脑\"。</p>\n<p>想想看：你下班到家，突然想起来电脑上一个文件忘了发给客户。以前你得跑回办公室，或者让人帮忙开电脑。现在只要在手机上对Marvis说一句，它就能远程打开你的电脑，找到文件，发出去。</p>\n<p>它不是简单的远程桌面——那种画面卡顿、操作延迟的东西。它是一个AI在做那些事情，它会\"看\"你的桌面、\"点\"你的图标、\"拖\"你的文件。只不过它在替你操作，而不是在远程让你自己操作。</p>\n<p>这两个体验天差地别。</p>\n<h2 id=\"_4\">四、市场格局：都在抢\"替你干活\"这个金矿</h2>\n<p>Marvis不是第一个吃螃蟹的。</p>\n<p>去年底，海外开源项目火爆了一波，界面图标是红色龙虾，被国内网友叫做\"小龙虾AI\"。它的核心理念就是让AI接管电脑、24小时替你干活。</p>\n<p>随后，Anthropic推出了Cowork，定位是安全可控的桌面AI文员。阿里发布了QoderWork，阶跃星辰推出了AI桌面伙伴，MiniMax也入局了。再加上腾讯的QClaw（电脑管家里的远程AI助手），这条赛道已经挤满了选手。</p>\n<p>但仔细看，大家的打法不太一样：</p>\n<ul>\n<li><strong>小龙虾AI</strong>走的是开源路线，灵活但安全性依赖第三方</li>\n<li><strong>Cowork</strong>强在对底层安全的控制，但功能更偏向企业级</li>\n<li><strong>QoderWork</strong>主打开发者的代码场景</li>\n<li><strong>Marvis</strong>走的是\"操作系统级\"的路子，把AI做成系统的一部分，而不是一个独立App</li>\n</ul>\n<p>腾讯还有一个其他人没有的优势：<strong>跨端协同和微信生态</strong>。Marvis不仅跨PC端和手机端，还能天然调用微信的能力——收发文件、对接企微、消息推送。这层\"生态红利\"，是其他产品短期追不上的。</p>\n<h2 id=\"_5\">五、这意味着什么？</h2>\n<p>对普通人来说，Marvis的意义在于：<strong>你终于不用学会所有工具才能用好工具了</strong>。</p>\n<p>以前换一台新电脑，要安装软件、配置环境、学习快捷键。Marvis靠说的就行。你说\"帮我把这台电脑配置成开发环境\"，它就去装语言、配环境、下IDE，全程对话即可。</p>\n<p>对一个创业者或中小团队来说，这就是在节约管理成本。</p>\n<p>想想看，你的团队里有多少时间花在了\"被工具分散注意力\"上？找文件、切窗口、调配置、同步数据——这些看似琐碎的操作，一天下来可能占了30%以上的工作时间。</p>\n<p>Marvis能做的，就是把这些\"脏活累活\"接过去，让人去做真正需要判断力的事。</p>\n<p>当然，挑战也明摆着：系统级权限意味着更高安全要求；跨端协同意味着更复杂的底层能力；而让用户真正信任一个可以操作自己电脑的AI，还需要时间。</p>\n<p>但方向已经很清晰了：<strong>AI正在从\"跟你聊天\"走向\"替你干活\"</strong>。</p>\n<p>Marvis不是终端产品。它是一个信号——2026年，桌面AI助手正在从\"玩具\"变成\"工具\"。</p>\n<p>而当你还在犹豫时，你的电脑已经有人替你在用了。</p>\n<h2 id=\"_6\">六、一句话收尾</h2>\n<p>腾讯做了个\"贾维斯\"，但真正重要的不是这个名字。重要的是：<strong>\"AI替你干活\"这件事，不再是概念了</strong>。</p>\n"}],"isError":false,"timestamp":1779354191763}}
{"type":"message","id":"b9812f90","parentId":"405fbd9c","timestamp":"2026-05-21T09:03:15.231Z","message":{"role":"assistant","content":[{"type":"text","text":"Good - the HTML is missing the last part (广告海报). Let me check the full HTML file and the MD file's end:"},{"type":"toolCall","id":"call_00_XKTVofll4e4fSut81SaH1491","name":"exec","arguments":{"command":"wc -l /tmp/marvis.html\ntail -30 /tmp/marvis.html"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1662,"output":86,"cacheRead":46592,"cacheWrite":0,"totalTokens":48340,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354191767,"responseId":"d0b754aa-fb7b-43a7-9674-a10b09cbe5ae"}}
{"type":"message","id":"0d7690b5","parentId":"b9812f90","timestamp":"2026-05-21T09:03:15.381Z","message":{"role":"toolResult","toolCallId":"call_00_XKTVofll4e4fSut81SaH1491","toolName":"exec","content":[{"type":"text","text":"53 /tmp/marvis.html\n<h2 id=\"_3\">三、跨端协同：手机远程\"操控\"电脑</h2>\n<p>Marvis目前支持Windows、Mac、安卓三端，iOS预计6月上线。</p>\n<p>最有趣的能力是\"手机远程接管电脑\"。</p>\n<p>想想看：你下班到家，突然想起来电脑上一个文件忘了发给客户。以前你得跑回办公室，或者让人帮忙开电脑。现在只要在手机上对Marvis说一句，它就能远程打开你的电脑，找到文件，发出去。</p>\n<p>它不是简单的远程桌面——那种画面卡顿、操作延迟的东西。它是一个AI在做那些事情，它会\"看\"你的桌面、\"点\"你的图标、\"拖\"你的文件。只不过它在替你操作，而不是在远程让你自己操作。</p>\n<p>这两个体验天差地别。</p>\n<h2 id=\"_4\">四、市场格局：都在抢\"替你干活\"这个金矿</h2>\n<p>Marvis不是第一个吃螃蟹的。</p>\n<p>去年底，海外开源项目火爆了一波，界面图标是红色龙虾，被国内网友叫做\"小龙虾AI\"。它的核心理念就是让AI接管电脑、24小时替你干活。</p>\n<p>随后，Anthropic推出了Cowork，定位是安全可控的桌面AI文员。阿里发布了QoderWork，阶跃星辰推出了AI桌面伙伴，MiniMax也入局了。再加上腾讯的QClaw（电脑管家里的远程AI助手），这条赛道已经挤满了选手。</p>\n<p>但仔细看，大家的打法不太一样：</p>\n<ul>\n<li><strong>小龙虾AI</strong>走的是开源路线，灵活但安全性依赖第三方</li>\n<li><strong>Cowork</strong>强在对底层安全的控制，但功能更偏向企业级</li>\n<li><strong>QoderWork</strong>主打开发者的代码场景</li>\n<li><strong>Marvis</strong>走的是\"操作系统级\"的路子，把AI做成系统的一部分，而不是一个独立App</li>\n</ul>\n<p>腾讯还有一个其他人没有的优势：<strong>跨端协同和微信生态</strong>。Marvis不仅跨PC端和手机端，还能天然调用微信的能力——收发文件、对接企微、消息推送。这层\"生态红利\"，是其他产品短期追不上的。</p>\n<h2 id=\"_5\">五、这意味着什么？</h2>\n<p>对普通人来说，Marvis的意义在于：<strong>你终于不用学会所有工具才能用好工具了</strong>。</p>\n<p>以前换一台新电脑，要安装软件、配置环境、学习快捷键。Marvis靠说的就行。你说\"帮我把这台电脑配置成开发环境\"，它就去装语言、配环境、下IDE，全程对话即可。</p>\n<p>对一个创业者或中小团队来说，这就是在节约管理成本。</p>\n<p>想想看，你的团队里有多少时间花在了\"被工具分散注意力\"上？找文件、切窗口、调配置、同步数据——这些看似琐碎的操作，一天下来可能占了30%以上的工作时间。</p>\n<p>Marvis能做的，就是把这些\"脏活累活\"接过去，让人去做真正需要判断力的事。</p>\n<p>当然，挑战也明摆着：系统级权限意味着更高安全要求；跨端协同意味着更复杂的底层能力；而让用户真正信任一个可以操作自己电脑的AI，还需要时间。</p>\n<p>但方向已经很清晰了：<strong>AI正在从\"跟你聊天\"走向\"替你干活\"</strong>。</p>\n<p>Marvis不是终端产品。它是一个信号——2026年，桌面AI助手正在从\"玩具\"变成\"工具\"。</p>\n<p>而当你还在犹豫时，你的电脑已经有人替你在用了。</p>\n<h2 id=\"_6\">六、一句话收尾</h2>\n<p>腾讯做了个\"贾维斯\"，但真正重要的不是这个名字。重要的是：<strong>\"AI替你干活\"这件事，不再是概念了</strong>。</p>"}],"details":{"status":"completed","exitCode":0,"durationMs":65,"aggregated":"53 /tmp/marvis.html\n<h2 id=\"_3\">三、跨端协同：手机远程\"操控\"电脑</h2>\n<p>Marvis目前支持Windows、Mac、安卓三端，iOS预计6月上线。</p>\n<p>最有趣的能力是\"手机远程接管电脑\"。</p>\n<p>想想看：你下班到家，突然想起来电脑上一个文件忘了发给客户。以前你得跑回办公室，或者让人帮忙开电脑。现在只要在手机上对Marvis说一句，它就能远程打开你的电脑，找到文件，发出去。</p>\n<p>它不是简单的远程桌面——那种画面卡顿、操作延迟的东西。它是一个AI在做那些事情，它会\"看\"你的桌面、\"点\"你的图标、\"拖\"你的文件。只不过它在替你操作，而不是在远程让你自己操作。</p>\n<p>这两个体验天差地别。</p>\n<h2 id=\"_4\">四、市场格局：都在抢\"替你干活\"这个金矿</h2>\n<p>Marvis不是第一个吃螃蟹的。</p>\n<p>去年底，海外开源项目火爆了一波，界面图标是红色龙虾，被国内网友叫做\"小龙虾AI\"。它的核心理念就是让AI接管电脑、24小时替你干活。</p>\n<p>随后，Anthropic推出了Cowork，定位是安全可控的桌面AI文员。阿里发布了QoderWork，阶跃星辰推出了AI桌面伙伴，MiniMax也入局了。再加上腾讯的QClaw（电脑管家里的远程AI助手），这条赛道已经挤满了选手。</p>\n<p>但仔细看，大家的打法不太一样：</p>\n<ul>\n<li><strong>小龙虾AI</strong>走的是开源路线，灵活但安全性依赖第三方</li>\n<li><strong>Cowork</strong>强在对底层安全的控制，但功能更偏向企业级</li>\n<li><strong>QoderWork</strong>主打开发者的代码场景</li>\n<li><strong>Marvis</strong>走的是\"操作系统级\"的路子，把AI做成系统的一部分，而不是一个独立App</li>\n</ul>\n<p>腾讯还有一个其他人没有的优势：<strong>跨端协同和微信生态</strong>。Marvis不仅跨PC端和手机端，还能天然调用微信的能力——收发文件、对接企微、消息推送。这层\"生态红利\"，是其他产品短期追不上的。</p>\n<h2 id=\"_5\">五、这意味着什么？</h2>\n<p>对普通人来说，Marvis的意义在于：<strong>你终于不用学会所有工具才能用好工具了</strong>。</p>\n<p>以前换一台新电脑，要安装软件、配置环境、学习快捷键。Marvis靠说的就行。你说\"帮我把这台电脑配置成开发环境\"，它就去装语言、配环境、下IDE，全程对话即可。</p>\n<p>对一个创业者或中小团队来说，这就是在节约管理成本。</p>\n<p>想想看，你的团队里有多少时间花在了\"被工具分散注意力\"上？找文件、切窗口、调配置、同步数据——这些看似琐碎的操作，一天下来可能占了30%以上的工作时间。</p>\n<p>Marvis能做的，就是把这些\"脏活累活\"接过去，让人去做真正需要判断力的事。</p>\n<p>当然，挑战也明摆着：系统级权限意味着更高安全要求；跨端协同意味着更复杂的底层能力；而让用户真正信任一个可以操作自己电脑的AI，还需要时间。</p>\n<p>但方向已经很清晰了：<strong>AI正在从\"跟你聊天\"走向\"替你干活\"</strong>。</p>\n<p>Marvis不是终端产品。它是一个信号——2026年，桌面AI助手正在从\"玩具\"变成\"工具\"。</p>\n<p>而当你还在犹豫时，你的电脑已经有人替你在用了。</p>\n<h2 id=\"_6\">六、一句话收尾</h2>\n<p>腾讯做了个\"贾维斯\"，但真正重要的不是这个名字。重要的是：<strong>\"AI替你干活\"这件事，不再是概念了</strong>。</p>","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354195380}}
{"type":"message","id":"1f1c367f","parentId":"0d7690b5","timestamp":"2026-05-21T09:03:19.613Z","message":{"role":"assistant","content":[{"type":"text","text":"The HTML doesn't include the 广告海报 section. I need to append it. Also, the HTML at `/tmp/marvis.html` doesn't include the AD poster from the MD file. Let me append it to the HTML file, then proceed with both publishing tasks simultaneously.\n\nLet me first append the poster image to the HTML file:"},{"type":"toolCall","id":"call_00_nZqkeQNHkX7wo9u7njwf1949","name":"edit","arguments":{"path":"/tmp/marvis.html","edits":[{"oldText":"<h2 id=\"_6\">六、一句话收尾</h2>\n<p>腾讯做了个\"贾维斯\"，但真正重要的不是这个名字。重要的是：<strong>\"AI替你干活\"这件事，不再是概念了</strong>。</p>","newText":"<h2 id=\"_6\">六、一句话收尾</h2>\n<p>腾讯做了个\"贾维斯\"，但真正重要的不是这个名字。重要的是：<strong>\"AI替你干活\"这件事，不再是概念了</strong>。</p>\n<hr />\n<p><strong>一人公司，从想法到赚钱，其实没有那么难。</strong></p>\n<p><img src=\"https://weixinsiwei.com/zb_users/upload/2026/05/84850393b2efb63633d3fdfd9a6e21b4.jpg\" alt=\"广告海报\" style=\"display: block; width: 100%; margin: 1.5em auto;\" /></p>"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":967,"output":356,"cacheRead":48256,"cacheWrite":0,"totalTokens":49579,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354195384,"responseId":"24421da4-88d2-46be-b2b4-72bebaf77557"}}
{"type":"message","id":"30f6db32","parentId":"1f1c367f","timestamp":"2026-05-21T09:03:19.703Z","message":{"role":"toolResult","toolCallId":"call_00_nZqkeQNHkX7wo9u7njwf1949","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /tmp/marvis.html."}],"details":{"diff":"    ...\n 50 <p>Marvis不是终端产品。它是一个信号——2026年，桌面AI助手正在从\"玩具\"变成\"工具\"。</p>\n 51 <p>而当你还在犹豫时，你的电脑已经有人替你在用了。</p>\n 52 <h2 id=\"_6\">六、一句话收尾</h2>\n 53 <p>腾讯做了个\"贾维斯\"，但真正重要的不是这个名字。重要的是：<strong>\"AI替你干活\"这件事，不再是概念了</strong>。</p>\n+54 <hr />\n+55 <p><strong>一人公司，从想法到赚钱，其实没有那么难。</strong></p>\n+56 <p><img src=\"https://weixinsiwei.com/zb_users/upload/2026/05/84850393b2efb63633d3fdfd9a6e21b4.jpg\" alt=\"广告海报\" style=\"display: block; width: 100%; margin: 1.5em auto;\" /></p>","firstChangedLine":54},"isError":false,"timestamp":1779354199703}}
{"type":"message","id":"4beb2ee9","parentId":"30f6db32","timestamp":"2026-05-21T09:03:29.432Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. Now let me start both publishing tasks in parallel. First, the WeChat API publish:"},{"type":"toolCall","id":"call_00_8s9boSgpdDP1h5OUHxKN7700","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-21 && 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 Marvis腾讯AI助手.md --theme default --color blue --author \"ai张三疯\" --cover /root/imgs/default/cover.jpg 2>&1","timeout":120,"yieldMs":60000}},{"type":"toolCall","id":"call_01_yDIHcENp2bh8bz7vYPIe5424","name":"write","arguments":{"path":"/tmp/publish-marvis-web.js","content":"const fs = require('fs');\nconst path = require('path');\n\nconst XMLRPC_URL = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst USERNAME = 'admin';\nconst PASSWORD = '135269zxj';\nconst BLOG_ID = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst htmlContent = fs.readFileSync('/tmp/marvis.html', 'utf-8');\n\nfunction escapeXml(s) {\n  return String(s).replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;')\n    .replace(/\"/g, '&quot;').replace(/'/g, '&apos;');\n}\n\nfunction valueToXml(v) {\n  if (typeof v === 'number') return `<value><int>${v}</int></value>`;\n  if (typeof v === 'boolean') return `<value><boolean>${v ? 1 : 0}</boolean></value>`;\n  if (v instanceof Date) {\n    const iso = v.toISOString().replace(/\\.\\d{3}Z/, '');\n    return `<value><dateTime.iso8601>${iso}</dateTime.iso8601></value>`;\n  }\n  if (typeof v === 'string') return `<value><string>${escapeXml(v)}</string></value>`;\n  if (Array.isArray(v)) return `<value><array><data>${v.map(valueToXml).join('')}</data></array></value>`;\n  if (typeof v === 'object') {\n    return `<value><struct>${Object.entries(v).map(([k, val]) =>\n      `<member><name>${k}</name>${valueToXml(val)}</member>`\n    ).join('')}</struct></value>`;\n  }\n  return '<value><string></string></value>';\n}\n\nfunction buildXmlRpc(methodName, params) {\n  return `<?xml version=\"1.0\"?>\n<methodCall>\n  <methodName>${methodName}</methodName>\n  <params>${params.map(p => `<param>${valueToXml(p)}</param>`).join('')}</params>\n</methodCall>`;\n}\n\nasync function call(methodName, params) {\n  const res = await fetch(XMLRPC_URL, {\n    method: 'POST',\n    headers: { 'Content-Type': 'text/xml' },\n    body: buildXmlRpc(methodName, params)\n  });\n  const text = await res.text();\n  const faultMatch = text.match(/<fault>[\\s\\S]*?<\\/fault>/);\n  if (faultMatch) {\n    const msg = text.match(/<string>([^<]*)<\\/string>/);\n    throw new Error(`XML-RPC Fault: ${msg ? msg[1] : 'Unknown'}`);\n  }\n  return text;\n}\n\nasync function main() {\n  const title = \"腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\";\n\n  const post = {\n    title: title,\n    description: htmlContent,\n    mt_allow_comments: 1,\n    mt_allow_pings: 1,\n    categories: ['AI应用'],\n    dateCreated: new Date().toISOString()\n  };\n\n  console.log(`Publishing: \"${title}\" (${htmlContent.length} chars)`);\n\n  const result = await call('metaWeblog.newPost', [BLOG_ID, USERNAME, PASSWORD, post, true]);\n  console.log('newPost response:', result.substring(0, 500));\n\n  // Verify\n  const recent = await call('metaWeblog.getRecentPosts', [BLOG_ID, USERNAME, PASSWORD, 5]);\n  const titleMatch = recent.match(/<name>title<\\/name><value><string>([^<]*)<\\/string><\\/value>/);\n  if (titleMatch) {\n    console.log('\\n✅ Verified post title:', titleMatch[1]);\n  } else {\n    console.log('\\nRecent posts XML snippet:', recent.substring(0, 800));\n  }\n}\n\nmain().catch(console.error);\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":453,"output":1191,"cacheRead":49152,"cacheWrite":0,"totalTokens":50796,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354199707,"responseId":"723916b5-a51d-440c-b059-6dd7ca506c67"}}
{"type":"message","id":"220a430d","parentId":"4beb2ee9","timestamp":"2026-05-21T09:03:53.762Z","message":{"role":"toolResult","toolCallId":"call_00_8s9boSgpdDP1h5OUHxKN7700","toolName":"exec","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-UGairt/temp-article.html\n[wechat-api] Placeholder images: 1\n[wechat-api] Title: 腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 你在Mac上做方案，手机上收到微信文件，另一个应用弹窗说软件需要更新。你手忙脚乱地切来切去。...\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 placeholder image: /tmp/wechat-article-images-UGairt/remote_030ca20f.jpg\n[wechat-api] Uploading cover: /root/imgs/default/cover.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfuoFAa_3AuDPOWXoJ098MHV4F-boIM1WN6jWja2V1S6k\",\n  \"title\": \"腾讯出了个\\\"贾维斯\\\"：一个能替你干活的操作系统级AI，意味着什么？\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfuoFAa_3AuDPOWXoJ098MHV4F-boIM1WN6jWja2V1S6k"}],"details":{"status":"completed","exitCode":0,"durationMs":24190,"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-UGairt/temp-article.html\n[wechat-api] Placeholder images: 1\n[wechat-api] Title: 腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 你在Mac上做方案，手机上收到微信文件，另一个应用弹窗说软件需要更新。你手忙脚乱地切来切去。...\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 placeholder image: /tmp/wechat-article-images-UGairt/remote_030ca20f.jpg\n[wechat-api] Uploading cover: /root/imgs/default/cover.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfuoFAa_3AuDPOWXoJ098MHV4F-boIM1WN6jWja2V1S6k\",\n  \"title\": \"腾讯出了个\\\"贾维斯\\\"：一个能替你干活的操作系统级AI，意味着什么？\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfuoFAa_3AuDPOWXoJ098MHV4F-boIM1WN6jWja2V1S6k","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354233761}}
{"type":"message","id":"4fd13b95","parentId":"220a430d","timestamp":"2026-05-21T09:03:53.762Z","message":{"role":"toolResult","toolCallId":"call_01_yDIHcENp2bh8bz7vYPIe5424","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2839 bytes to /tmp/publish-marvis-web.js"}],"isError":false,"timestamp":1779354233761}}
{"type":"message","id":"566b347f","parentId":"4fd13b95","timestamp":"2026-05-21T09:03:56.221Z","message":{"role":"assistant","content":[{"type":"text","text":"WeChat publish succeeded! Now let me run the website publish:"},{"type":"toolCall","id":"call_00_rUI6TMtEz4iExh6MyI1k0858","name":"exec","arguments":{"command":"node /tmp/publish-marvis-web.js 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":564,"output":84,"cacheRead":50688,"cacheWrite":0,"totalTokens":51336,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354233766,"responseId":"a3b1a75f-175d-41b3-8314-165831f688c3"}}
{"type":"message","id":"2ecef55d","parentId":"566b347f","timestamp":"2026-05-21T09:03:56.396Z","message":{"role":"toolResult","toolCallId":"call_00_rUI6TMtEz4iExh6MyI1k0858","toolName":"exec","content":[{"type":"text","text":"/tmp/publish-marvis-web.js:57\n  const title = \"腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\";\n                       ^^^\n\nSyntaxError: Unexpected identifier '贾维斯'\n    at wrapSafe (node:internal/modules/cjs/loader:1637:18)\n    at Module._compile (node:internal/modules/cjs/loader:1679:20)\n    at Object..js (node:internal/modules/cjs/loader:1838:10)\n    at Module.load (node:internal/modules/cjs/loader:1441:32)\n    at Function._load (node:internal/modules/cjs/loader:1263:12)\n    at TracingChannel.traceSync (node:diagnostics_channel:328:14)\n    at wrapModuleLoad (node:internal/modules/cjs/loader:237:24)\n    at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:171:5)\n    at node:internal/main/run_main_module:36:49\n\nNode.js v22.22.1\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":87,"aggregated":"/tmp/publish-marvis-web.js:57\n  const title = \"腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\";\n                       ^^^\n\nSyntaxError: Unexpected identifier '贾维斯'\n    at wrapSafe (node:internal/modules/cjs/loader:1637:18)\n    at Module._compile (node:internal/modules/cjs/loader:1679:20)\n    at Object..js (node:internal/modules/cjs/loader:1838:10)\n    at Module.load (node:internal/modules/cjs/loader:1441:32)\n    at Function._load (node:internal/modules/cjs/loader:1263:12)\n    at TracingChannel.traceSync (node:diagnostics_channel:328:14)\n    at wrapModuleLoad (node:internal/modules/cjs/loader:237:24)\n    at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:171:5)\n    at node:internal/main/run_main_module:36:49\n\nNode.js v22.22.1\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354236396}}
{"type":"message","id":"7f80b2e5","parentId":"2ecef55d","timestamp":"2026-05-21T09:03:58.935Z","message":{"role":"assistant","content":[{"type":"text","text":"The Chinese quotes in the title are causing issues. Let me fix it:"},{"type":"toolCall","id":"call_00_6HFZVAtnOIQzDCNAbtKj1142","name":"edit","arguments":{"path":"/tmp/publish-marvis-web.js","edits":[{"oldText":"  const title = \"腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\";","newText":"  const title = '腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？';"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":269,"output":144,"cacheRead":51328,"cacheWrite":0,"totalTokens":51741,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354236400,"responseId":"a13e42c0-c146-464a-bb4e-88ccd1982650"}}
{"type":"message","id":"c42ae8bb","parentId":"7f80b2e5","timestamp":"2026-05-21T09:03:59.028Z","message":{"role":"toolResult","toolCallId":"call_00_6HFZVAtnOIQzDCNAbtKj1142","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /tmp/publish-marvis-web.js."}],"details":{"diff":"    ...\n 53   return text;\n 54 }\n 55 \n 56 async function main() {\n-57   const title = \"腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\";\n+57   const title = '腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？';\n 58 \n 59   const post = {\n 60     title: title,\n 61     description: htmlContent,\n    ...","firstChangedLine":57},"isError":false,"timestamp":1779354239027}}
{"type":"message","id":"f8d8683b","parentId":"c42ae8bb","timestamp":"2026-05-21T09:04:01.141Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_zHJ8I4d83jxj3xgdHXSA6723","name":"exec","arguments":{"command":"node /tmp/publish-marvis-web.js 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":59,"output":72,"cacheRead":51712,"cacheWrite":0,"totalTokens":51843,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354239031,"responseId":"476285b7-3d51-4ca6-b208-88fd0c170517"}}
{"type":"message","id":"19f7ecd2","parentId":"f8d8683b","timestamp":"2026-05-21T09:04:02.177Z","message":{"role":"toolResult","toolCallId":"call_00_zHJ8I4d83jxj3xgdHXSA6723","toolName":"exec","content":[{"type":"text","text":"Publishing: \"腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\" (3133 chars)\nnewPost response: <methodResponse><params><param><value><boolean>1</boolean></value></param></params></methodResponse>\n\n✅ Verified post title: 知名App，被曝团队解散！曾火爆全网"}],"details":{"status":"completed","exitCode":0,"durationMs":942,"aggregated":"Publishing: \"腾讯出了个\"贾维斯\"：一个能替你干活的操作系统级AI，意味着什么？\" (3133 chars)\nnewPost response: <methodResponse><params><param><value><boolean>1</boolean></value></param></params></methodResponse>\n\n✅ Verified post title: 知名App，被曝团队解散！曾火爆全网","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354242176}}
{"type":"message","id":"add66d47","parentId":"19f7ecd2","timestamp":"2026-05-21T09:04:09.529Z","message":{"role":"assistant","content":[{"type":"text","text":"The post was published (newPost returned 1/true for success), but the getRecentPosts verification picked up a different article (the most recent one is 妙鸭相机). The XML-RPC succeeded though. Let me verify more explicitly:"},{"type":"toolCall","id":"call_00_sS7Tr4CYHeejAwfeYZBj1465","name":"exec","arguments":{"command":"cat > /tmp/verify-post.js << 'SCRIPT'\nconst XMLRPC_URL = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst USERNAME = 'admin';\nconst PASSWORD = '135269zxj';\nconst BLOG_ID = '68ba1ff10060dd54f1e399b8e332bdba';\n\nfunction escapeXml(s) {\n  return String(s).replace(/&/g, '&amp;').replace(/</g, '&lt;').replace(/>/g, '&gt;')\n    .replace(/\"/g, '&quot;').replace(/'/g, '&apos;');\n}\n\nfunction valueToXml(v) {\n  if (typeof v === 'string') return `<value><string>${escapeXml(v)}</string></value>`;\n  if (typeof v === 'number') return `<value><int>${v}</int></value>`;\n  if (typeof v === 'boolean') return `<value><boolean>${v ? 1 : 0}</boolean></value>`;\n  if (Array.isArray(v)) return `<value><array><data>${v.map(valueToXml).join('')}</data></array></value>`;\n  if (typeof v === 'object') {\n    return `<value><struct>${Object.entries(v).map(([k, val]) =>\n      `<member><name>${k}</name>${valueToXml(val)}</member>`\n    ).join('')}</struct></value>`;\n  }\n  return '<value><string></string></value>';\n}\n\nfunction buildXmlRpc(methodName, params) {\n  return `<?xml version=\"1.0\"?>\n<methodCall>\n  <methodName>${methodName}</methodName>\n  <params>${params.map(p => `<param>${valueToXml(p)}</param>`).join('')}</params>\n</methodCall>`;\n}\n\nasync function main() {\n  const recent = await fetch(XMLRPC_URL, {\n    method: 'POST',\n    headers: { 'Content-Type': 'text/xml' },\n    body: buildXmlRpc('metaWeblog.getRecentPosts', [BLOG_ID, USERNAME, PASSWORD, 10])\n  });\n  const text = await recent.text();\n  \n  // Extract all titles\n  const titles = [];\n  const regex = /<name>title<\\/name><value><string>([^<]*)<\\/string><\\/value>/g;\n  let m;\n  while ((m = regex.exec(text)) !== null) {\n    titles.push(m[1]);\n  }\n  \n  console.log('Recent post titles:');\n  titles.forEach((t, i) => console.log(`  ${i+1}. ${t}`));\n  \n  if (text.includes('贾维斯')) {\n    console.log('\\n✅ Marvis article found!');\n  } else {\n    console.log('\\n⚠️  Marvis article not found in recent posts');\n  }\n}\n\nmain().catch(console.error);\nSCRIPT\nnode /tmp/verify-post.js","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":91,"output":763,"cacheRead":51840,"cacheWrite":0,"totalTokens":52694,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354242182,"responseId":"d5cf3a6d-7161-4921-89cd-abd2451e4015"}}
{"type":"message","id":"1bc098bd","parentId":"add66d47","timestamp":"2026-05-21T09:04:15.462Z","message":{"role":"toolResult","toolCallId":"call_00_sS7Tr4CYHeejAwfeYZBj1465","toolName":"exec","content":[{"type":"text","text":"Recent post titles:\n  1. 知名App，被曝团队解散！曾火爆全网\n  2. 腾讯出了个&amp;quot;贾维斯&amp;quot;：一个能替你干活的操作系统级AI，意味着什么？\n  3. 曾经最火的AI应用，团队解散了：妙鸭相机给所有创业者的警示\n  4. 马斯克败诉后说了句狠话：AI一两年内全面超越人类，创业者还剩多少时间？\n  5. 银行终于愿意&amp;quot;凭本事借钱&amp;quot;了——OPC一人公司创业贷加速落地意味着什么\n  6. 别人还在焦虑&amp;quot;AI取代我&amp;quot;，有人已经用AI&amp;quot;手搓&amp;quot;出爆款，年入2000万\n  7. 七十年的老轴承，终于要上市了\n  8. 长江存储启动IPO：国产芯片的&amp;quot;成人礼&amp;quot;来了\n  9. 中美坐回谈判桌：AI政府对话开启，一场&amp;quot;边打架边谈和&amp;quot;的博弈\n  10. 微信读书Skill冲上热搜背后：从&amp;quot;数字化生存&amp;quot;到&amp;quot;AI化生存&amp;quot;，人类正把自己Skill化\n\n✅ Marvis article found!"}],"details":{"status":"completed","exitCode":0,"durationMs":5838,"aggregated":"Recent post titles:\n  1. 知名App，被曝团队解散！曾火爆全网\n  2. 腾讯出了个&amp;quot;贾维斯&amp;quot;：一个能替你干活的操作系统级AI，意味着什么？\n  3. 曾经最火的AI应用，团队解散了：妙鸭相机给所有创业者的警示\n  4. 马斯克败诉后说了句狠话：AI一两年内全面超越人类，创业者还剩多少时间？\n  5. 银行终于愿意&amp;quot;凭本事借钱&amp;quot;了——OPC一人公司创业贷加速落地意味着什么\n  6. 别人还在焦虑&amp;quot;AI取代我&amp;quot;，有人已经用AI&amp;quot;手搓&amp;quot;出爆款，年入2000万\n  7. 七十年的老轴承，终于要上市了\n  8. 长江存储启动IPO：国产芯片的&amp;quot;成人礼&amp;quot;来了\n  9. 中美坐回谈判桌：AI政府对话开启，一场&amp;quot;边打架边谈和&amp;quot;的博弈\n  10. 微信读书Skill冲上热搜背后：从&amp;quot;数字化生存&amp;quot;到&amp;quot;AI化生存&amp;quot;，人类正把自己Skill化\n\n✅ Marvis article found!","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354255462}}
{"type":"message","id":"8ab48ade","parentId":"1bc098bd","timestamp":"2026-05-21T09:04:18.340Z","message":{"role":"assistant","content":[{"type":"text","text":"Both publications are successful. Let me clean up the temp files."},{"type":"toolCall","id":"call_00_EF9VbVNMCZREdyIz7KRb3750","name":"exec","arguments":{"command":"rm -f /tmp/publish-marvis-web.js /tmp/verify-post.js"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":389,"output":71,"cacheRead":52608,"cacheWrite":0,"totalTokens":53068,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779354255466,"responseId":"efaa29d6-2244-4006-9116-e77b353f58db"}}
{"type":"message","id":"77308a91","parentId":"8ab48ade","timestamp":"2026-05-21T09:04:19.116Z","message":{"role":"toolResult","toolCallId":"call_00_EF9VbVNMCZREdyIz7KRb3750","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"details":{"status":"completed","exitCode":0,"durationMs":33,"aggregated":"","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779354259115}}
{"type":"message","id":"cc6b47d6","parentId":"77308a91","timestamp":"2026-05-21T09:04:23.716Z","message":{"role":"assistant","content":[{"type":"text","text":"## ✅ 发布完成！\n\n两篇均已成功发布：\n\n### 1️⃣ 公众号 · 创业张三疯\n- **草稿ID：** `imBwNhfy9Uv4ps2luE5gfuoFAa_3AuDPOWXoJ098MHV4F-boIM1WN6jWja2V1S6k`\n- **主题：** default blue（腾讯蓝）\n- **作者：** ai张三疯\n- **封面：** 默认cover\n\n### 2️⃣ 网站 · weixinsiwei.com\n- **URL：** https://weixinsiwei.com/（已验证，排名第2篇最近文章）\n- **分类：** AI应用\n- **广告海报：** 已包含在文末\n\n> 注：网站验证中 title 显示 `&amp;quot;` 是 XML 转义，实际网页显示正常（之前发布的其他文章也是这个情况）。"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":90,"output":201,"cacheRead":52992,"cacheWrite":0,"totalTokens":53283,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1779354259122,"responseId":"32619523-24a2-4cff-9963-ac6e16f9fa82"}}