{"type":"session","version":3,"id":"d1204e44-3c97-499c-82c6-b345fac5d10b","timestamp":"2026-04-24T14:22:10.367Z","cwd":"/root/.openclaw/workspace/fabu"} {"type":"model_change","id":"5982270f","parentId":null,"timestamp":"2026-04-24T14:22:10.369Z","provider":"deepseek","modelId":"deepseek-chat"} {"type":"thinking_level_change","id":"50b595d8","parentId":"5982270f","timestamp":"2026-04-24T14:22:10.369Z","thinkingLevel":"off"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1777040530387,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"9cefa484","parentId":"50b595d8","timestamp":"2026-04-24T14:22:10.387Z"} {"type":"message","id":"55844cbf","parentId":"9cefa484","timestamp":"2026-04-24T14:22:10.401Z","message":{"role":"user","content":[{"type":"text","text":"[Fri 2026-04-24 22:22 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\n[Subagent Task]: 你是**发布大师**，公众号内容发布专家。\n\n## 任务：发布\"DeepSeek V4用Kimi Muon优化器\"文章\n\n### 文章信息\n- 标题：DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n- 作者：ai张三疯\n- Markdown：/root/.openclaw/agents/文章大师/workspace/DeepSeekV4Muon开源-2026-04-24-v1.md\n- 网站HTML：/root/.openclaw/agents/发布大师/workspace/DeepSeekV4Muon开源-2026-04-24.html\n\n### 公众号\n```bash\ncd /root/.openclaw/agents/发布大师/workspace\nWECHAT_APP_ID=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeekV4Muon开源-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\"\n```\n\n### 网站\n创建 publish-DeepSeekV4Muon.js：\n- 端点：https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号：admin / 135269zxj\n- blogId：68ba1ff10060dd54f1e399b8e332bdba\n- 标签：DeepSeek-V4, Kimi, Muon优化器, 开源AI, MLA架构, 中国AI\n\n**别忘了container移除**：读取HTML后替换class=\"container\"为内联max-width。\n\n完成后回复发布总结。避免重复发布。"}],"timestamp":1777040530392}} {"type":"message","id":"52ea0335","parentId":"55844cbf","timestamp":"2026-04-24T14:22:13.885Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me start by reading the article files and the wechat API script to understand what I'm working with."},{"type":"toolCall","id":"call_00_hUvfcjM6P2PeQJTmbLoe5fvr","name":"read","arguments":{"path":"/root/.openclaw/agents/文章大师/workspace/DeepSeekV4Muon开源-2026-04-24-v1.md"}},{"type":"toolCall","id":"call_01_J2dOHaGCzvVTkynnJCP1wU9i","name":"read","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/DeepSeekV4Muon开源-2026-04-24.html"}},{"type":"toolCall","id":"call_02_RGecjR9pKcFKSKErm5lqYiVT","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":12385,"output":214,"cacheRead":0,"cacheWrite":0,"totalTokens":12599,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040530408,"responseId":"244c3962-89e2-4161-b741-f6def1b04fe2"}} {"type":"message","id":"2957517b","parentId":"52ea0335","timestamp":"2026-04-24T14:22:13.941Z","message":{"role":"toolResult","toolCallId":"call_00_hUvfcjM6P2PeQJTmbLoe5fvr","toolName":"read","content":[{"type":"text","text":"# DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n\nDeepSeek V4的技术报告里，藏着一个容易被忽略但信息量极大的细节——模型训练全程使用了Muon优化器，并且实现了**预训练零Loss Spike**。而这个Muon优化器，正是Kimi（月之暗面）首次在万亿参数规模上验证过的。\n\n乍看是一个\"你研发、我使用\"的单向故事，但当你把目光投向更广阔的图景，会发现这恰恰是中国AI产业当下最深层的底色：**开源协作，才是国产AI从追赶到并跑的真实武器。**\n\n### Muon优化器是什么？技术共享才是常态\n\nMuon并不是一个全新的概念。它源自学术界对优化算法的持续探索——如何让模型训练更快、更稳、更省算力。但理论与大规模验证之间，横亘着一道巨大的鸿沟。\n\nKimi团队率先在万亿参数模型的实战中验证了Muon的有效性，结果相当亮眼：训练稳定性大幅提升，Loss曲线平滑得让人怀疑是不是调了参数。这个结果，Kimi没有藏着掖着，而是写进了公开的技术论文和代码中。\n\nDeepSeek V4直接拿来用了。不是\"借鉴\"、\"参考\"、\"受到启发\"——就是拿来用了。训练全程零Loss Spike，技术报告里大方承认。\n\n在中国AI圈，这太正常了。谁做出了好东西，大家就用谁的。不存在什么\"技术壁垒\"、\"专利封锁\"，因为所有人都明白一个道理：资源有限、时间紧迫，与其重复造轮子，不如站在彼此的肩膀上。代码是公开的，论文是公开的，谁好用用谁——这不是抄袭，这是中国AI生态的生存法则。\n\n### 双向奔赴才是真故事\n\n故事的反面同样精彩。\n\nKimi在今年早些时候发布的K2模型中，核心架构采用了DeepSeek此前首创的MLA（Multi-head Latent Attention）。MLA对KV Cache的极致优化，大幅提升了推理效率，是K2能实现高性能长上下文推理的关键。\n\n你看，这不是DeepSeek单方面\"偷师\"Kimi，也不是Kimi单方面借鉴DeepSeek。这是一场**双向的、默契的、开诚布公的技术流动**。\n\nDeepSeek的MLA成就了Kimi K2，Kimi的Muon成就了DeepSeek V4。他们互为师友，彼此成就。没有黑箱协议，没有专利战争，只有公开的代码仓库和学术论文里冷冰冰但极其诚实的引用标注。\n\n这就是中国AI的开源生态——**不设围墙，没有什么\"这是我们的看家本领不能外传\"。** 你强的地方我学你，我强的地方你拿去。每个人都在拼命往前跑，没人有闲工夫去修篱笆。\n\n### 美国AI圈的镜像：闭源内斗与连续剧\n\n如果我们把镜头转向大洋彼岸，画风截然不同。\n\nOpenAI和Anthropic——这两家目前全球最受瞩目的AI公司，创始人曾经是并肩战斗的同事，如今却成了最激烈的对手。Sam Altman和Dario Amodei之间的恩怨，堪称硅谷最狗血的连续剧：从OpenAI分裂、Anthropic出走、互相挖角核心成员、到公开场合的明枪暗箭。\n\n这不仅仅是个人恩怨，而是两种商业模式的必然冲突。OpenAI从非营利变为\"有限营利\"再到彻底商业化，Anthropic则以\"安全AI\"为旗号但同样在疯狂融资和商业化。它们在人才市场上互相抬价，在融资市场上互相碾压，在技术路线上各守秘密——GPT-4的技术报告几乎不提供任何工程细节，Claude的架构细节也小心翼翼。\n\n**闭源模式下的内斗，消耗的是整个行业的效率。** 同样的技术，两家都要独立研发、独立验证、独立踩坑。这不仅浪费了本可以共享的资源和时间，也拖慢了整个AI进步的速度。\n\n一位从OpenAI跳槽到Anthropic的工程师曾私下感叹：\"同样的优化技巧，我在两家公司各写了一遍，两边的代码风格都不同，但解决的问题一模一样。\"\n\n### 开源是被迫还是战略？资源有限下的最优解\n\n有人说，中国AI公司走开源路线是因为\"没得选\"——在芯片禁运的封锁下，算力受限，不抱团就只能各自等死。\n\n这话对，但不全对。开源确实有被动的一面，但它更像是一个**被逼迫出来的战略选择，而选择后产生的化学反应，正在让中国AI走出一条完全不同的路**。\n\n芯片禁运是真实存在的。H100、B200、甚至阉割版的芯片，都在限制名单上。每一块能用的GPU都是稀缺资源。在这样的背景下，如果每家公司都关起门来各自为战，结果只会是——所有人都没跑起来。\n\n开源协作的本质，是**最大化了有限资源的利用率**。你优化的训练框架，我拿去直接跑；我解决的数据工程问题，你在它的基础上继续改进。每一分算力都不浪费，每一点突破都能被整个生态复用。这不是理想主义，这是迫在眉睫的现实倒逼出来的最优策略。\n\n更有趣的是，这种\"被迫\"的选择，反而让中国AI生态长出了另一种韧性和活力。没有人能靠封锁技术来建立护城河——大家都明白真正的护城河不是代码的保密性，而是持续创新的能力。你去看看GitHub上中国AI公司的仓库，Star数、Fork数、Issue讨论的活跃度，某种意义上是比论文引用量更真实的生态指标。\n\n### 先把蛋糕做大\n\n回到DeepSeek V4用Kimi Muon这件事。\n\n它不是什么爆炸性新闻，不会刷屏朋友圈，不会成为热搜话题。但恰恰是这样的\"小事\"，才最真实地反映了中国AI产业的运转方式——**不急着分蛋糕，先把蛋糕做大。**\n\n美国AI公司在忙着建护城河、打专利仗、挖对家墙角的时候，中国AI公司在忙着互相\"借用\"对方的优化器、注意力机制、训练框架。前者像是一群人在争夺一张尚未确定大小的饼，后者像是一群人合力在把饼摊得更大。\n\n芯片禁运依然在，算力天花板依然在。但如果每一家公司都能站在彼此的肩头上，这个天花板就会被不断地向上推开。\n\nDeepSeek和Kimi的故事，只是中国AI开源生态中的一个缩影。这样的双向奔赴，正在中国AI的各个角落里默默发生——某家的数据处理框架，某家的通信库优化，某家的MoE调度策略。它们不会成为新闻头条，但它们在实实在在地推动这个江湖向前走。\n\n没有零和博弈，没有闭门造车。公开共享，彼此成就，把蛋糕做大。这就是中国AI正在做的事，**开源协作，是这片江湖最真实的底色，也是从追赶到并跑，甚至反超的真正武器。**\n\n*（本文观点素材综合自DeepSeek V4技术报告、Kimi K2技术报告、以及公开开源的Chinese AI社区生态动态。）*\n"}],"isError":false,"timestamp":1777040533941}} {"type":"message","id":"2b016a25","parentId":"2957517b","timestamp":"2026-04-24T14:22:13.941Z","message":{"role":"toolResult","toolCallId":"call_01_J2dOHaGCzvVTkynnJCP1wU9i","toolName":"read","content":[{"type":"text","text":"\n\n\n \n \n DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n \n \n \n\n\n
\n

DeepSeek V4的技术报告里，藏着一个容易被忽略但信息量极大的细节——模型训练全程使用了Muon优化器，并且实现了预训练零Loss Spike。而这个Muon优化器，正是Kimi（月之暗面）首次在万亿参数规模上验证过的。

乍看是一个"你研发、我使用"的单向故事，但当你把目光投向更广阔的图景，会发现这恰恰是中国AI产业当下最深层的底色：开源协作，才是国产AI从追赶到并跑的真实武器。

Muon优化器是什么？技术共享才是常态

Muon并不是一个全新的概念。它源自学术界对优化算法的持续探索——如何让模型训练更快、更稳、更省算力。但理论与大规模验证之间，横亘着一道巨大的鸿沟。

Kimi团队率先在万亿参数模型的实战中验证了Muon的有效性，结果相当亮眼：训练稳定性大幅提升，Loss曲线平滑得让人怀疑是不是调了参数。这个结果，Kimi没有藏着掖着，而是写进了公开的技术论文和代码中。

DeepSeek V4直接拿来用了。不是"借鉴"、"参考"、"受到启发"——就是拿来用了。训练全程零Loss Spike，技术报告里大方承认。

在中国AI圈，这太正常了。谁做出了好东西，大家就用谁的。不存在什么"技术壁垒"、"专利封锁"，因为所有人都明白一个道理：资源有限、时间紧迫，与其重复造轮子，不如站在彼此的肩膀上。代码是公开的，论文是公开的，谁好用用谁——这不是抄袭，这是中国AI生态的生存法则。

双向奔赴才是真故事

故事的反面同样精彩。

Kimi在今年早些时候发布的K2模型中，核心架构采用了DeepSeek此前首创的MLA（Multi-head Latent Attention）。MLA对KV Cache的极致优化，大幅提升了推理效率，是K2能实现高性能长上下文推理的关键。

你看，这不是DeepSeek单方面"偷师"Kimi，也不是Kimi单方面借鉴DeepSeek。这是一场双向的、默契的、开诚布公的技术流动。

DeepSeek的MLA成就了Kimi K2，Kimi的Muon成就了DeepSeek V4。他们互为师友，彼此成就。没有黑箱协议，没有专利战争，只有公开的代码仓库和学术论文里冷冰冰但极其诚实的引用标注。

这就是中国AI的开源生态——不设围墙，没有什么"这是我们的看家本领不能外传"。 你强的地方我学你，我强的地方你拿去。每个人都在拼命往前跑，没人有闲工夫去修篱笆。

美国AI圈的镜像：闭源内斗与连续剧

如果我们把镜头转向大洋彼岸，画风截然不同。

OpenAI和Anthropic——这两家目前全球最受瞩目的AI公司，创始人曾经是并肩战斗的同事，如今却成了最激烈的对手。Sam Altman和Dario Amodei之间的恩怨，堪称硅谷最狗血的连续剧：从OpenAI分裂、Anthropic出走、互相挖角核心成员、到公开场合的明枪暗箭。

这不仅仅是个人恩怨，而是两种商业模式的必然冲突。OpenAI从非营利变为"有限营利"再到彻底商业化，Anthropic则以"安全AI"为旗号但同样在疯狂融资和商业化。它们在人才市场上互相抬价，在融资市场上互相碾压，在技术路线上各守秘密——GPT-4的技术报告几乎不提供任何工程细节，Claude的架构细节也小心翼翼。

闭源模式下的内斗，消耗的是整个行业的效率。 同样的技术，两家都要独立研发、独立验证、独立踩坑。这不仅浪费了本可以共享的资源和时间，也拖慢了整个AI进步的速度。

一位从OpenAI跳槽到Anthropic的工程师曾私下感叹："同样的优化技巧，我在两家公司各写了一遍，两边的代码风格都不同，但解决的问题一模一样。"

开源是被迫还是战略？资源有限下的最优解

有人说，中国AI公司走开源路线是因为"没得选"——在芯片禁运的封锁下，算力受限，不抱团就只能各自等死。

这话对，但不全对。开源确实有被动的一面，但它更像是一个被逼迫出来的战略选择，而选择后产生的化学反应，正在让中国AI走出一条完全不同的路。

芯片禁运是真实存在的。H100、B200、甚至阉割版的芯片，都在限制名单上。每一块能用的GPU都是稀缺资源。在这样的背景下，如果每家公司都关起门来各自为战，结果只会是——所有人都没跑起来。

开源协作的本质，是最大化了有限资源的利用率。你优化的训练框架，我拿去直接跑；我解决的数据工程问题，你在它的基础上继续改进。每一分算力都不浪费，每一点突破都能被整个生态复用。这不是理想主义，这是迫在眉睫的现实倒逼出来的最优策略。

更有趣的是，这种"被迫"的选择，反而让中国AI生态长出了另一种韧性和活力。没有人能靠封锁技术来建立护城河——大家都明白真正的护城河不是代码的保密性，而是持续创新的能力。你去看看GitHub上中国AI公司的仓库，Star数、Fork数、Issue讨论的活跃度，某种意义上是比论文引用量更真实的生态指标。

先把蛋糕做大

回到DeepSeek V4用Kimi Muon这件事。

它不是什么爆炸性新闻，不会刷屏朋友圈，不会成为热搜话题。但恰恰是这样的"小事"，才最真实地反映了中国AI产业的运转方式——不急着分蛋糕，先把蛋糕做大。

美国AI公司在忙着建护城河、打专利仗、挖对家墙角的时候，中国AI公司在忙着互相"借用"对方的优化器、注意力机制、训练框架。前者像是一群人在争夺一张尚未确定大小的饼，后者像是一群人合力在把饼摊得更大。

芯片禁运依然在，算力天花板依然在。但如果每一家公司都能站在彼此的肩头上，这个天花板就会被不断地向上推开。

DeepSeek和Kimi的故事，只是中国AI开源生态中的一个缩影。这样的双向奔赴，正在中国AI的各个角落里默默发生——某家的数据处理框架，某家的通信库优化，某家的MoE调度策略。它们不会成为新闻头条，但它们在实实在在地推动这个江湖向前走。

没有零和博弈，没有闭门造车。公开共享，彼此成就，把蛋糕做大。这就是中国AI正在做的事，开源协作，是这片江湖最真实的底色，也是从追赶到并跑，甚至反超的真正武器。

（本文观点素材综合自DeepSeek V4技术报告、Kimi K2技术报告、以及公开开源的Chinese AI社区生态动态。）

\n \n \n \n \n \n
\n
\n\n"}],"isError":false,"timestamp":1777040533941}} {"type":"message","id":"ac7ffdcd","parentId":"2b016a25","timestamp":"2026-04-24T14:22:13.942Z","message":{"role":"toolResult","toolCallId":"call_02_RGecjR9pKcFKSKErm5lqYiVT","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 {\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 {\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: ${resolvedPath}`);\n }\n fileBuffer = fs.readFileSync(resolvedPath);\n filename = path.basename(resolvedPath);\n const ext = path.extname(filename).toLowerCase();\n const mimeTypes: Record = {\n \".jpg\": \"image/jpeg\",\n \".jpeg\": \"image/jpeg\",\n \".png\": \"image/png\",\n \".gif\": \"image/gif\",\n \".webp\": \"image/webp\",\n };\n contentType = mimeTypes[ext] || \"image/jpeg\";\n }\n\n const boundary = `----WebKitFormBoundary${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 = `${UPLOAD_URL}?access_token=${accessToken}&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 = /]*\\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();\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 = ``;\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 ${image.placeholder}:`, err);\n }\n }\n\n return { html: updatedHtml, firstMediaId, allMediaIds };\n}\n\nasync function publishToDraft(\n options: ArticleOptions,\n accessToken: string\n): Promise {\n const url = `${DRAFT_URL}?access_token=${accessToken}`;\n\n let article: Record;\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}: ${data.errmsg}`);\n }\n\n return data;\n}\n\nfunction parseFrontmatter(content: string): { frontmatter: Record; body: string } {\n const match = content.match(/^\\s*---\\r?\\n([\\s\\S]*?)\\r?\\n---\\r?\\n?([\\s\\S]*)$/);\n if (!match) return { frontmatter: {}, body: content };\n\n const frontmatter: Record = {};\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(/
([\\s\\S]*?)<\\/div>\\s*<\\/body>/);\n if (match) {\n return match[1]!.trim();\n }\n const bodyMatch = html.match(/]*>([\\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 [options]\n\nArguments:\n file Markdown (.md) or HTML (.html) file\n\nOptions:\n --type Article type: news (文章, default) or newspic (图文)\n --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":1777040533941}} {"type":"message","id":"53b852c4","parentId":"ac7ffdcd","timestamp":"2026-04-24T14:22:16.326Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, I have the article content and the wechat API script. The HTML file already has the content formatted well. The wechat-api.ts script handles everything from markdown rendering to uploading images and publishing.\n\nNow let me create the website publishing script first, then run the wechat publish command.\n\nFirst, let me check the HTML more closely to handle the \"container class\" removal requirement."},{"type":"toolCall","id":"call_00_nxD0rpsgMn24dCInVpvqm4Un","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && ls -la"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":11375,"output":138,"cacheRead":12288,"cacheWrite":0,"totalTokens":23801,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040533942,"responseId":"ea28863f-647c-4427-a931-fec106d0cd19"}} {"type":"message","id":"a9fbfc74","parentId":"53b852c4","timestamp":"2026-04-24T14:22:16.399Z","message":{"role":"toolResult","toolCallId":"call_00_nxD0rpsgMn24dCInVpvqm4Un","toolName":"exec","content":[{"type":"text","text":"total 824\ndrwxr-xr-x 6 root root 4096 Apr 24 22:21 .\ndrwxr-xr-x 4 root root 4096 Apr 22 19:16 ..\n-rw-r--r-- 1 root root 42968 Apr 23 10:12 2026中国Token服务商TOP50榜单分析-2026-04-23.html\n-rw-r--r-- 1 root root 10952 Apr 23 10:12 2026中国Token服务商TOP50榜单分析-2026-04-23-v1.md\n-rw-r--r-- 1 root root 25031 Apr 22 21:10 apple-tencent-html.html\ndrwxr-xr-x 3 root root 4096 Mar 27 09:07 .baoyu-skills\n-rw-r--r-- 1 root root 40845 Apr 24 20:16 cover-deepseek.jpg\n-rw-r--r-- 1 root root 12050 Apr 24 22:21 DeepSeekV4Muon开源-2026-04-24.html\n-rw-r--r-- 1 root root 17068 Apr 24 13:15 DeepSeek-V4发布-2026-04-24.html\n-rw-r--r-- 1 root root 10809 Apr 24 20:40 DeepSeekV4国产硬件黄仁勋-2026-04-24.html\n-rw-r--r-- 1 root root 12263 Apr 24 20:15 DeepSeek-V4超算互联网-2026-04-24.html\n-rw-r--r-- 1 root root 13269 Apr 24 21:31 DeepSeekV4阿里云百炼-2026-04-24.html\ndrwxr-xr-x 2 root root 4096 Mar 27 09:07 imgs\ndrwxr-xr-x 5 root root 4096 Apr 24 20:16 node_modules\n-rw-r--r-- 1 root root 38358 Apr 22 21:11 openclaw-deepseek-html.html\ndrwxr-xr-x 5 root root 4096 Apr 22 19:20 openclaw-zblog-markdown-publisher\n-rw-r--r-- 1 root root 51 Apr 24 20:16 package.json\n-rw-r--r-- 1 root root 1217 Apr 24 20:16 package-lock.json\n-rw-r--r-- 1 root root 2759 Apr 23 16:24 publish-ai-100-entrepreneurs.js\n-rw-r--r-- 1 root root 446 Apr 23 16:24 publish-ai-100-entrepreneurs-log.json\n-rw-r--r-- 1 root root 2738 Apr 23 16:10 publish-ai-100-scenarios.js\n-rw-r--r-- 1 root root 464 Apr 23 16:10 publish-ai-100-scenarios-log.json\n-rw-r--r-- 1 root root 1707 Apr 23 16:40 publish-ai-100-v2.js\n-rw-r--r-- 1 root root 212 Apr 23 16:40 publish-ai-100-v2-log.json\n-rw-r--r-- 1 root root 2276 Apr 23 09:27 publish-article.js\n-rw-r--r-- 1 root root 209 Apr 24 09:24 publish-baibu-fanfu-log.json\n-rw-r--r-- 1 root root 2074 Apr 24 09:24 publish-baidu-fanfu.js\n-rw-r--r-- 1 root root 2446 Apr 24 13:16 publish-deepseek-v4.js\n-rw-r--r-- 1 root root 435 Apr 24 13:16 publish-deepseek-v4-log.json\n-rw-r--r-- 1 root root 8316 Apr 24 21:33 publish-DeepSeekV4百炼.js\n-rw-r--r-- 1 root root 480 Apr 24 21:34 publish-DeepSeekV4百炼-log.json\n-rw-r--r-- 1 root root 6577 Apr 24 20:16 publish-DeepSeekV4超算.js\n-rw-r--r-- 1 root root 10029 Apr 24 20:42 publish-DeepSeekV4黄仁勋.js\n-rw-r--r-- 1 root root 2752 Apr 24 09:03 publish-grid-robot.js\n-rw-r--r-- 1 root root 431 Apr 24 09:03 publish-grid-robot-log.json\n-rw-r--r-- 1 root root 236 Apr 23 09:27 publish-log.json\n-rw-r--r-- 1 root root 2694 Apr 23 10:13 publish-token-top50.js\n-rw-r--r-- 1 root root 443 Apr 23 10:13 publish-token-top50-log.json\n-rw-r--r-- 1 root root 2681 Apr 23 14:49 publish-wecom-5.0.8.js\n-rw-r--r-- 1 root root 438 Apr 23 14:49 publish-wecom-5.0.8-log.json\n-rw-r--r-- 1 root root 144 Apr 23 22:02 publish-wuzhao-log.json\n-rw-r--r-- 1 root root 2491 Apr 24 18:42 publish-办公三大CLI.js\n-rw-r--r-- 1 root root 420 Apr 24 18:42 publish-办公三大CLI-log.json\n-rw-r--r-- 1 root root 3188 Mar 25 21:47 SOUL.md\n-rw-r--r-- 1 root root 659 Apr 22 20:12 test-article.md\n-rw-r--r-- 1 root root 374 Apr 22 20:05 test-metaweblog.xml\n-rw-r--r-- 1 root root 1267 Apr 23 09:26 test-publish.js\n-rw-r--r-- 1 root root 1253 Apr 22 20:17 test-publish.md\n-rw-r--r-- 1 root root 291 Apr 22 20:04 test-xmlrpc.xml\n-rw-r--r-- 1 root root 990 Apr 22 20:04 test-zblog-connection.js\n-rw-r--r-- 1 root root 848 Apr 24 20:17 test-zblog.js\n-rw-r--r-- 1 root root 27928 Apr 22 21:11 wechat-peipao-html.html\n-rw-r--r-- 1 root root 10514 Apr 24 09:24 互联网大厂反腐-百度144人-2026-04-24.html\n-rw-r--r-- 1 root root 57905 Apr 23 16:09 人工智能100个应用场景深度解析-2026-04-23.html\n-rw-r--r-- 1 root root 13171 Apr 23 16:09 人工智能100个应用场景深度解析-2026-04-23-v1.md\n-rw-r--r-- 1 root root 42843 Apr 23 14:48 企业微信5.0.8版本重磅发布-2026-04-23.html\n-rw-r--r-- 1 root root 10700 Apr 23 14:48 企业微信5.0.8版本重磅发布-2026-04-23-v1.md\n-rw-r--r-- 1 root root 8098 Mar 27 09:07 企业微信陪跑套餐-文章草稿.md\n-rw-r--r-- 1 root root 6768 Mar 28 15:40 公众号文章-OpenClaw-DeepSeek-升级指南.md\n-rw-r--r-- 1 root root 14655 Apr 24 09:03 具身智能-国家电网百亿采购-2026-04-24.html\n-rw-r--r-- 1 root root 11872 Apr 24 18:41 办公三大CLI-AI智能体春天-2026-04-24.html\n-rw-r--r-- 1 root root 22259 Apr 23 09:23 国务院AI+政策-2026-04-23.html\n-rw-r--r-- 1 root root 6489 Apr 23 09:25 国务院AI+政策-网站发布.md\n-rw-r--r-- 1 root root 45709 Apr 23 16:23 干货分享-人工智能100个高价值场景全解析-2026-04-23.html\n-rw-r--r-- 1 root root 11947 Apr 23 16:22 干货分享-人工智能100个高价值场景全解析-2026-04-23-v1.md\n-rw-r--r-- 1 root root 26169 Apr 23 16:39 干货分享-人工智能100个高价值场景全解析-2026-04-23-v2.html\n-rw-r--r-- 1 root root 9162 Apr 23 16:39 干货分享-人工智能100个高价值场景全解析-2026-04-23-v2.md\n-rw-r--r-- 1 root root 27650 Apr 23 22:02 日抛型软件时代来临-钉钉铁律引发的思考-2026-04-23-v1.html\n-rw-r--r-- 1 root root 9371 Apr 23 22:01 日抛型软件时代来临-钉钉铁律引发的思考-2026-04-23-v1.md\n-rw-r--r-- 1 root root 5913 Apr 23 09:10 深度文章-国务院AI+政策-2026-04-23-v1.md\n-rw-r--r-- 1 root root 6462 Apr 23 09:11 深度文章-国务院AI+政策-2026-04-23-v1-with-frontmatter.md"}],"details":{"status":"completed","exitCode":0,"durationMs":49,"aggregated":"total 824\ndrwxr-xr-x 6 root root 4096 Apr 24 22:21 .\ndrwxr-xr-x 4 root root 4096 Apr 22 19:16 ..\n-rw-r--r-- 1 root root 42968 Apr 23 10:12 2026中国Token服务商TOP50榜单分析-2026-04-23.html\n-rw-r--r-- 1 root root 10952 Apr 23 10:12 2026中国Token服务商TOP50榜单分析-2026-04-23-v1.md\n-rw-r--r-- 1 root root 25031 Apr 22 21:10 apple-tencent-html.html\ndrwxr-xr-x 3 root root 4096 Mar 27 09:07 .baoyu-skills\n-rw-r--r-- 1 root root 40845 Apr 24 20:16 cover-deepseek.jpg\n-rw-r--r-- 1 root root 12050 Apr 24 22:21 DeepSeekV4Muon开源-2026-04-24.html\n-rw-r--r-- 1 root root 17068 Apr 24 13:15 DeepSeek-V4发布-2026-04-24.html\n-rw-r--r-- 1 root root 10809 Apr 24 20:40 DeepSeekV4国产硬件黄仁勋-2026-04-24.html\n-rw-r--r-- 1 root root 12263 Apr 24 20:15 DeepSeek-V4超算互联网-2026-04-24.html\n-rw-r--r-- 1 root root 13269 Apr 24 21:31 DeepSeekV4阿里云百炼-2026-04-24.html\ndrwxr-xr-x 2 root root 4096 Mar 27 09:07 imgs\ndrwxr-xr-x 5 root root 4096 Apr 24 20:16 node_modules\n-rw-r--r-- 1 root root 38358 Apr 22 21:11 openclaw-deepseek-html.html\ndrwxr-xr-x 5 root root 4096 Apr 22 19:20 openclaw-zblog-markdown-publisher\n-rw-r--r-- 1 root root 51 Apr 24 20:16 package.json\n-rw-r--r-- 1 root root 1217 Apr 24 20:16 package-lock.json\n-rw-r--r-- 1 root root 2759 Apr 23 16:24 publish-ai-100-entrepreneurs.js\n-rw-r--r-- 1 root root 446 Apr 23 16:24 publish-ai-100-entrepreneurs-log.json\n-rw-r--r-- 1 root root 2738 Apr 23 16:10 publish-ai-100-scenarios.js\n-rw-r--r-- 1 root root 464 Apr 23 16:10 publish-ai-100-scenarios-log.json\n-rw-r--r-- 1 root root 1707 Apr 23 16:40 publish-ai-100-v2.js\n-rw-r--r-- 1 root root 212 Apr 23 16:40 publish-ai-100-v2-log.json\n-rw-r--r-- 1 root root 2276 Apr 23 09:27 publish-article.js\n-rw-r--r-- 1 root root 209 Apr 24 09:24 publish-baibu-fanfu-log.json\n-rw-r--r-- 1 root root 2074 Apr 24 09:24 publish-baidu-fanfu.js\n-rw-r--r-- 1 root root 2446 Apr 24 13:16 publish-deepseek-v4.js\n-rw-r--r-- 1 root root 435 Apr 24 13:16 publish-deepseek-v4-log.json\n-rw-r--r-- 1 root root 8316 Apr 24 21:33 publish-DeepSeekV4百炼.js\n-rw-r--r-- 1 root root 480 Apr 24 21:34 publish-DeepSeekV4百炼-log.json\n-rw-r--r-- 1 root root 6577 Apr 24 20:16 publish-DeepSeekV4超算.js\n-rw-r--r-- 1 root root 10029 Apr 24 20:42 publish-DeepSeekV4黄仁勋.js\n-rw-r--r-- 1 root root 2752 Apr 24 09:03 publish-grid-robot.js\n-rw-r--r-- 1 root root 431 Apr 24 09:03 publish-grid-robot-log.json\n-rw-r--r-- 1 root root 236 Apr 23 09:27 publish-log.json\n-rw-r--r-- 1 root root 2694 Apr 23 10:13 publish-token-top50.js\n-rw-r--r-- 1 root root 443 Apr 23 10:13 publish-token-top50-log.json\n-rw-r--r-- 1 root root 2681 Apr 23 14:49 publish-wecom-5.0.8.js\n-rw-r--r-- 1 root root 438 Apr 23 14:49 publish-wecom-5.0.8-log.json\n-rw-r--r-- 1 root root 144 Apr 23 22:02 publish-wuzhao-log.json\n-rw-r--r-- 1 root root 2491 Apr 24 18:42 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深度文章-国务院AI+政策-2026-04-23-v1.md\n-rw-r--r-- 1 root root 6462 Apr 23 09:11 深度文章-国务院AI+政策-2026-04-23-v1-with-frontmatter.md","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777040536399}} {"type":"message","id":"d022d104","parentId":"a9fbfc74","timestamp":"2026-04-24T14:22:18.586Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me look at an existing publish script to understand the pattern:"},{"type":"toolCall","id":"call_00_vsfZMsyGJXwus7lZBrbJbNt5","name":"read","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4百炼.js"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2371,"output":79,"cacheRead":23680,"cacheWrite":0,"totalTokens":26130,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040536400,"responseId":"3ccd58c0-d659-43e6-8ae9-65d14cfb83bc"}} {"type":"message","id":"7d72925f","parentId":"d022d104","timestamp":"2026-04-24T14:22:18.615Z","message":{"role":"toolResult","toolCallId":"call_00_vsfZMsyGJXwus7lZBrbJbNt5","toolName":"read","content":[{"type":"text","text":"// Z-Blog XML-RPC 发布脚本 - DeepSeek-V4阿里云百炼首发\nconst http = require('http');\nconst https = require('https');\nconst fs = require('fs');\nconst path = require('path');\n\nconst xmlrpcEndpoint = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst username = 'admin';\nconst password = '135269zxj';\nconst blogId = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst title = '阿里云百炼首发DeepSeek-V4：价格击穿地板，国产AI从\"找模型\"到\"找平台\"';\nconst author = 'ai张三疯';\nconst tags = ['DeepSeek-V4', '阿里云百炼', 'API', '大模型', '阿里云', '国产AI'];\nconst categories = ['默认分类', 'AI人工智能', '大模型'];\nconst slug = 'DeepSeekV4-Aliyun-Bailian-2026';\n\n// Read and process HTML - remove container class, replace with inline style\nfunction readAndProcessHtml(filePath) {\n let content = fs.readFileSync(filePath, 'utf-8');\n\n // Extract content from #output div\n const outputMatch = content.match(/<div id=\"output\">([\\s\\S]*?)<\\/div>\\s*<\\/body>/);\n let bodyContent;\n if (outputMatch) {\n bodyContent = outputMatch[1].trim();\n } else {\n const bodyMatch = content.match(/<body[^>]*>([\\s\\S]*?)<\\/body>/i);\n bodyContent = bodyMatch ? bodyMatch[1].trim() : content;\n }\n\n // Remove section.container -> inline max-width:860px\n bodyContent = bodyContent.replace(/<section class=\"container\"[^>]*>/g, '<div style=\"max-width:860px;margin:0 auto;font-family:-apple-system-font,BlinkMacSystemFont,Helvetica Neue,PingFang SC,Hiragino Sans GB,Microsoft YaHei UI,Microsoft YaHei,Arial,sans-serif;font-size:16px;line-height:1.75;text-align:left;\">');\n bodyContent = bodyContent.replace(/<\\/section>/g, '</div>');\n\n // Build full HTML document\n return `<!DOCTYPE html>\n<html>\n<head>\n<meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n<title>${title.replace(/\"/g, '"')}\n\n\n${bodyContent}\n\n`;\n}\n\nfunction escapeXml(s) {\n return String(s).replace(/&/g, '&').replace(//g, '>').replace(/\"/g, '"').replace(/'/g, ''');\n}\n\nfunction paramToXml(val) {\n if (typeof val === 'string') {\n return `${escapeXml(val)}`;\n } else if (typeof val === 'number') {\n return `${val}`;\n } else if (typeof val === 'boolean') {\n return val ? '1' : '0';\n } else if (val instanceof Date) {\n return `${val.toISOString()}`;\n } else if (Array.isArray(val)) {\n let xml = '';\n for (const item of val) {\n xml += `${paramToXml(item)}`;\n }\n xml += '';\n return xml;\n } else if (typeof val === 'object' && val !== null) {\n let xml = '';\n for (const [key, value] of Object.entries(val)) {\n xml += `${key}${paramToXml(value)}`;\n }\n xml += '';\n return xml;\n }\n return '';\n}\n\nfunction buildXmlRpcRequest(method, params) {\n let xml = `\n\n${method}\n`;\n for (const p of params) {\n xml += `${paramToXml(p)}`;\n }\n xml += `\n`;\n return xml;\n}\n\nfunction xmlrpcCall(method, params) {\n return new Promise((resolve, reject) => {\n const xml = buildXmlRpcRequest(method, params);\n const isHttps = xmlrpcEndpoint.startsWith('https');\n const transport = isHttps ? https : http;\n const url = new URL(xmlrpcEndpoint);\n\n const options = {\n hostname: url.hostname,\n port: url.port || (isHttps ? 443 : 80),\n path: url.pathname,\n method: 'POST',\n headers: {\n 'Content-Type': 'text/xml',\n 'Content-Length': Buffer.byteLength(xml),\n 'User-Agent': 'OpenClaw-Publisher/1.0'\n }\n };\n\n const req = transport.request(options, (res) => {\n let data = '';\n res.on('data', chunk => data += chunk);\n res.on('end', () => {\n const faultMatch = data.match(/([\\s\\S]*?)<\\/fault>/);\n if (faultMatch) {\n const fsMatch = data.match(/faultString<\\/name>\\s*\\s*([^<]*)<\\/string>/);\n const fcMatch = data.match(/faultCode<\\/name>\\s*\\s*([^<]*)<\\/int>/);\n reject(new Error(`XML-RPC fault: ${fcMatch ? fcMatch[1] : '?'} - ${fsMatch ? fsMatch[1] : 'Unknown error'}`));\n return;\n }\n resolve(data);\n });\n });\n\n req.on('error', reject);\n req.write(xml);\n req.end();\n });\n}\n\nasync function main() {\n console.log('=== Z-Blog XML-RPC 发布 ===');\n console.log(`标题: ${title}`);\n console.log(`标签: ${tags.join(', ')}`);\n console.log(`端点: ${xmlrpcEndpoint}`);\n\n // Step 0: Verify connection\n console.log('\\n[步骤 0] 验证连接...');\n try {\n const result = await xmlrpcCall('blogger.getUsersBlogs', ['appKey', username, password]);\n console.log('连接成功');\n } catch (e) {\n console.error('连接失败:', e.message);\n process.exit(1);\n }\n\n // Step 1: Get categories\n console.log('\\n[步骤 1] 获取分类列表...');\n let existingCategories = [];\n try {\n const catResult = await xmlrpcCall('metaWeblog.getCategories', [blogId, username, password]);\n const catMatches = [...catResult.matchAll(/categoryName<\\/name>\\s*\\s*([^<]*)<\\/string>/g)];\n existingCategories = catMatches.map(m => m[1]);\n console.log('已有分类:', existingCategories);\n } catch (e) {\n console.log('获取分类失败（继续）:', e.message);\n }\n\n // Step 2: Read and process HTML\n console.log('\\n[步骤 2] 读取并处理HTML...');\n const htmlPath = path.resolve(__dirname, 'DeepSeekV4阿里云百炼-2026-04-24.html');\n const htmlContent = readAndProcessHtml(htmlPath);\n console.log(`HTML内容长度: ${htmlContent.length} 字符`);\n\n // Step 3: Publish new post\n console.log('\\n[步骤 3] 发布新文章...');\n\n const postStruct = {\n title: title,\n description: htmlContent,\n dateCreated: new Date(),\n categories: categories,\n mt_keywords: tags.join(', '),\n mt_allow_comments: 1,\n mt_allow_pings: 1,\n wp_slug: slug,\n post_type: 'post',\n post_status: 'publish'\n };\n\n const publishResult = await xmlrpcCall('metaWeblog.newPost', [\n blogId, username, password, postStruct, true\n ]);\n\n console.log('发布响应:', publishResult.substring(0, 300));\n\n // Step 4: Get post ID from recent posts\n console.log('\\n[步骤 4] 查询最新文章ID...');\n let postId = 'unknown';\n try {\n const recentResult = await xmlrpcCall('metaWeblog.getRecentPosts', [blogId, username, password, 5]);\n const posts = recentResult.split('').slice(1);\n for (const postXml of posts) {\n const tMatch = postXml.match(/title<\\/name>\\s*\\s*([^<]*)<\\/string>/);\n const idMatch = postXml.match(/(?:postid|postId)<\\/name>\\s*\\s*(?:([^<]*)<\\/string>|([^<]*)<\\/int>)/);\n if (tMatch && tMatch[1] === title) {\n postId = idMatch ? (idMatch[1] || idMatch[2]) : 'unknown';\n console.log('找到匹配文章:', tMatch[1], 'ID:', postId);\n break;\n }\n }\n } catch (e) {\n console.log('查询最新文章失败:', e.message);\n }\n\n console.log(`\\n=== 发布成功 ===`);\n console.log(`文章ID: ${postId}`);\n console.log(`文章URL: https://weixinsiwei.com/post/${postId}.html`);\n console.log(`文章标题: ${title}`);\n\n // Save log\n const logEntry = {\n timestamp: new Date().toISOString(),\n title: title,\n postId: postId,\n platform: 'Z-Blog网站',\n status: 'success',\n categories: categories,\n tags: tags\n };\n fs.writeFileSync('publish-DeepSeekV4百炼-log.json', JSON.stringify(logEntry, null, 2));\n console.log('📋 发布日志已保存到 publish-DeepSeekV4百炼-log.json');\n\n console.log(`\\n---RESULT---`);\n console.log(JSON.stringify({\n success: true,\n post_id: postId,\n url: `https://weixinsiwei.com/post/${postId}.html`,\n title: title\n }));\n}\n\nmain().catch(err => {\n console.error('\\n发布失败:', err.message);\n console.log(`\\n---RESULT---`);\n console.log(JSON.stringify({ success: false, error: err.message }));\n process.exit(1);\n});\n"}],"isError":false,"timestamp":1777040538615}} {"type":"message","id":"447eac29","parentId":"7d72925f","timestamp":"2026-04-24T14:22:53.116Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I have the pattern. Let me note: the existing publish-DeepSeekV4百炼.js shows the working approach - it extracts content from the `#output` div and then processes `section.container` (not `class=\"container\"` directly). Let me check what the current HTML actually uses:\n\nLooking at the HTML I already read, there's no `
` in it. The HTML already has everything inline. So for the website script, I need to handle whatever container structure the HTML has.\n\nLet me now create the website publish script and run the wechat publish simultaneously."},{"type":"toolCall","id":"call_00_SQZciOTf6zjsrFLeuhIhS7SI","name":"write","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4Muon.js","content":"// Z-Blog XML-RPC 发布脚本 - DeepSeek V4\"偷师\"Kimi Muon\nconst http = require('http');\nconst https = require('https');\nconst fs = require('fs');\nconst path = require('path');\n\nconst xmlrpcEndpoint = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst username = 'admin';\nconst password = '135269zxj';\nconst blogId = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst title = 'DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场';\nconst author = 'ai张三疯';\nconst tags = ['DeepSeek-V4', 'Kimi', 'Muon优化器', '开源AI', 'MLA架构', '中国AI'];\nconst categories = ['默认分类', 'AI人工智能', '大模型'];\nconst slug = 'DeepSeekV4-Kimi-Muon-2026';\n\n// Read and process HTML - remove container class, replace with inline style\nfunction readAndProcessHtml(filePath) {\n let content = fs.readFileSync(filePath, 'utf-8');\n\n // Extract content from #output div\n const outputMatch = content.match(/
([\\s\\S]*?)<\\/div>\\s*<\\/body>/);\n let bodyContent;\n if (outputMatch) {\n bodyContent = outputMatch[1].trim();\n } else {\n const bodyMatch = content.match(/]*>([\\s\\S]*?)<\\/body>/i);\n bodyContent = bodyMatch ? bodyMatch[1].trim() : content;\n }\n\n // Remove class=\"container\" -> inline max-width:860px if present\n bodyContent = bodyContent.replace(/]*class=\"container\"[^>]*>/g, '
');\n bodyContent = bodyContent.replace(/<\\/div>\\s*/g, '
');\n\n // Build full HTML document\n return `\n\n\n\n\n${title.replace(/\"/g, '"')}\n\n\n${bodyContent}\n\n`;\n}\n\nfunction escapeXml(s) {\n return String(s).replace(/&/g, '&').replace(//g, '>').replace(/\"/g, '"').replace(/'/g, ''');\n}\n\nfunction paramToXml(val) {\n if (typeof val === 'string') {\n return `${escapeXml(val)}`;\n } else if (typeof val === 'number') {\n return `${val}`;\n } else if (typeof val === 'boolean') {\n return val ? '1' : '0';\n } else if (val instanceof Date) {\n return `${val.toISOString()}`;\n } else if (Array.isArray(val)) {\n let xml = '';\n for (const item of val) {\n xml += `${paramToXml(item)}`;\n }\n xml += '';\n return xml;\n } else if (typeof val === 'object' && val !== null) {\n let xml = '';\n for (const [key, value] of Object.entries(val)) {\n xml += `${key}${paramToXml(value)}`;\n }\n xml += '';\n return xml;\n }\n return '';\n}\n\nfunction buildXmlRpcRequest(method, params) {\n let xml = `\n\n${method}\n`;\n for (const p of params) {\n xml += `${paramToXml(p)}`;\n }\n xml += `\n`;\n return xml;\n}\n\nfunction xmlrpcCall(method, params) {\n return new Promise((resolve, reject) => {\n const xml = buildXmlRpcRequest(method, params);\n const isHttps = xmlrpcEndpoint.startsWith('https');\n const transport = isHttps ? https : http;\n const url = new URL(xmlrpcEndpoint);\n\n const options = {\n hostname: url.hostname,\n port: url.port || (isHttps ? 443 : 80),\n path: url.pathname,\n method: 'POST',\n headers: {\n 'Content-Type': 'text/xml',\n 'Content-Length': Buffer.byteLength(xml),\n 'User-Agent': 'OpenClaw-Publisher/1.0'\n }\n };\n\n const req = transport.request(options, (res) => {\n let data = '';\n res.on('data', chunk => data += chunk);\n res.on('end', () => {\n const faultMatch = data.match(/([\\s\\S]*?)<\\/fault>/);\n if (faultMatch) {\n const fsMatch = data.match(/faultString<\\/name>\\s*\\s*([^<]*)<\\/string>/);\n const fcMatch = data.match(/faultCode<\\/name>\\s*\\s*([^<]*)<\\/int>/);\n reject(new Error(`XML-RPC fault: ${fcMatch ? fcMatch[1] : '?'} - ${fsMatch ? fsMatch[1] : 'Unknown error'}`));\n return;\n }\n resolve(data);\n });\n });\n\n req.on('error', reject);\n req.write(xml);\n req.end();\n });\n}\n\nasync function main() {\n console.log('=== Z-Blog XML-RPC 发布 ===');\n console.log(`标题: ${title}`);\n console.log(`标签: ${tags.join(', ')}`);\n console.log(`端点: ${xmlrpcEndpoint}`);\n\n // Step 0: Verify connection\n console.log('\\n[步骤 0] 验证连接...');\n try {\n const result = await xmlrpcCall('blogger.getUsersBlogs', ['appKey', username, password]);\n console.log('连接成功');\n } catch (e) {\n console.error('连接失败:', e.message);\n process.exit(1);\n }\n\n // Step 1: Get categories\n console.log('\\n[步骤 1] 获取分类列表...');\n let existingCategories = [];\n try {\n const catResult = await xmlrpcCall('metaWeblog.getCategories', [blogId, username, password]);\n const catMatches = [...catResult.matchAll(/categoryName<\\/name>\\s*\\s*([^<]*)<\\/string>/g)];\n existingCategories = catMatches.map(m => m[1]);\n console.log('已有分类:', existingCategories);\n } catch (e) {\n console.log('获取分类失败（继续）:', e.message);\n }\n\n // Step 2: Read and process HTML\n console.log('\\n[步骤 2] 读取并处理HTML...');\n const htmlPath = path.resolve(__dirname, 'DeepSeekV4Muon开源-2026-04-24.html');\n const htmlContent = readAndProcessHtml(htmlPath);\n console.log(`HTML内容长度: ${htmlContent.length} 字符`);\n\n // Step 3: Publish new post\n console.log('\\n[步骤 3] 发布新文章...');\n\n const postStruct = {\n title: title,\n description: htmlContent,\n dateCreated: new Date(),\n categories: categories,\n mt_keywords: tags.join(', '),\n mt_allow_comments: 1,\n mt_allow_pings: 1,\n wp_slug: slug,\n post_type: 'post',\n post_status: 'publish'\n };\n\n const publishResult = await xmlrpcCall('metaWeblog.newPost', [\n blogId, username, password, postStruct, true\n ]);\n\n console.log('发布响应:', publishResult.substring(0, 300));\n\n // Step 4: Get post ID from recent posts\n console.log('\\n[步骤 4] 查询最新文章ID...');\n let postId = 'unknown';\n try {\n const recentResult = await xmlrpcCall('metaWeblog.getRecentPosts', [blogId, username, password, 5]);\n const posts = recentResult.split('').slice(1);\n for (const postXml of posts) {\n const tMatch = postXml.match(/title<\\/name>\\s*\\s*([^<]*)<\\/string>/);\n const idMatch = postXml.match(/(?:postid|postId)<\\/name>\\s*\\s*(?:([^<]*)<\\/string>|([^<]*)<\\/int>)/);\n if (tMatch && tMatch[1] === title) {\n postId = idMatch ? (idMatch[1] || idMatch[2]) : 'unknown';\n console.log('找到匹配文章:', tMatch[1], 'ID:', postId);\n break;\n }\n }\n } catch (e) {\n console.log('查询最新文章失败:', e.message);\n }\n\n console.log(`\\n=== 发布成功 ===`);\n console.log(`文章ID: ${postId}`);\n console.log(`文章URL: https://weixinsiwei.com/post/${postId}.html`);\n console.log(`文章标题: ${title}`);\n\n // Save log\n const logEntry = {\n timestamp: new Date().toISOString(),\n title: title,\n postId: postId,\n platform: 'Z-Blog网站',\n status: 'success',\n categories: categories,\n tags: tags\n };\n fs.writeFileSync('publish-DeepSeekV4Muon-log.json', JSON.stringify(logEntry, null, 2));\n console.log('📋 发布日志已保存到 publish-DeepSeekV4Muon-log.json');\n\n console.log(`\\n---RESULT---`);\n console.log(JSON.stringify({\n success: true,\n post_id: postId,\n url: `https://weixinsiwei.com/post/${postId}.html`,\n title: title\n }));\n}\n\nmain().catch(err => {\n console.error('\\n发布失败:', err.message);\n console.log(`\\n---RESULT---`);\n console.log(JSON.stringify({ success: false, error: err.message }));\n process.exit(1);\n});\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2501,"output":2692,"cacheRead":26112,"cacheWrite":0,"totalTokens":31305,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040538616,"responseId":"ff59e84f-0e98-4d98-b340-bdea28959c31"}} {"type":"message","id":"723c33d4","parentId":"447eac29","timestamp":"2026-04-24T14:22:53.140Z","message":{"role":"toolResult","toolCallId":"call_00_SQZciOTf6zjsrFLeuhIhS7SI","toolName":"write","content":[{"type":"text","text":"Successfully wrote 7978 bytes to /root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4Muon.js"}],"isError":false,"timestamp":1777040573140}} {"type":"message","id":"0d69aae6","parentId":"723c33d4","timestamp":"2026-04-24T14:22:57.314Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me run both the website publish and the wechat publish in parallel:"},{"type":"toolCall","id":"call_00_qBC0IQnBb2S3t0hkQ7fDAJLJ","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && node publish-DeepSeekV4Muon.js 2>&1","timeout":30}},{"type":"toolCall","id":"call_01_VhM7mDmZu2itLrCPt3LcEA3F","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && WECHAT_APP_ID=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeekV4Muon开源-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\" 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":118,"output":289,"cacheRead":31232,"cacheWrite":0,"totalTokens":31639,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040573141,"responseId":"f1e2a58a-bd20-4d6c-b9dd-275cec3ca6d0"}} {"type":"message","id":"0d153a5a","parentId":"0d69aae6","timestamp":"2026-04-24T14:23:00.390Z","message":{"role":"toolResult","toolCallId":"call_00_qBC0IQnBb2S3t0hkQ7fDAJLJ","toolName":"exec","content":[{"type":"text","text":"=== Z-Blog XML-RPC 发布 ===\n标题: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n标签: DeepSeek-V4, Kimi, Muon优化器, 开源AI, MLA架构, 中国AI\n端点: https://weixinsiwei.com/zb_system/xml-rpc/index.php\n\n[步骤 0] 验证连接...\n连接成功\n\n[步骤 1] 获取分类列表...\n已有分类: [\n '视频号', '企业微信',\n '私域流量', '微信小店',\n '企微SOP', '企业邮箱',\n '腾讯电子签', '腾讯会议',\n '企业服务', '数据资产入表',\n '私车公用'\n]\n\n[步骤 2] 读取并处理HTML...\nHTML内容长度: 7345 字符\n\n[步骤 3] 发布新文章...\n发布响应: 1\n\n[步骤 4] 查询最新文章ID...\n\n=== 发布成功 ===\n文章ID: unknown\n文章URL: https://weixinsiwei.com/post/unknown.html\n文章标题: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n📋 发布日志已保存到 publish-DeepSeekV4Muon-log.json\n\n---RESULT---\n{\"success\":true,\"post_id\":\"unknown\",\"url\":\"https://weixinsiwei.com/post/unknown.html\",\"title\":\"DeepSeek V4\\\"偷师\\\"Kimi Muon：中国AI开源反超的隐秘战场\"}"}],"details":{"status":"completed","exitCode":0,"durationMs":1110,"aggregated":"=== Z-Blog XML-RPC 发布 ===\n标题: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n标签: DeepSeek-V4, Kimi, Muon优化器, 开源AI, MLA架构, 中国AI\n端点: https://weixinsiwei.com/zb_system/xml-rpc/index.php\n\n[步骤 0] 验证连接...\n连接成功\n\n[步骤 1] 获取分类列表...\n已有分类: [\n '视频号', '企业微信',\n '私域流量', '微信小店',\n '企微SOP', '企业邮箱',\n '腾讯电子签', '腾讯会议',\n '企业服务', '数据资产入表',\n '私车公用'\n]\n\n[步骤 2] 读取并处理HTML...\nHTML内容长度: 7345 字符\n\n[步骤 3] 发布新文章...\n发布响应: 1\n\n[步骤 4] 查询最新文章ID...\n\n=== 发布成功 ===\n文章ID: unknown\n文章URL: https://weixinsiwei.com/post/unknown.html\n文章标题: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n📋 发布日志已保存到 publish-DeepSeekV4Muon-log.json\n\n---RESULT---\n{\"success\":true,\"post_id\":\"unknown\",\"url\":\"https://weixinsiwei.com/post/unknown.html\",\"title\":\"DeepSeek V4\\\"偷师\\\"Kimi Muon：中国AI开源反超的隐秘战场\"}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777040580390}} {"type":"message","id":"c1eefc00","parentId":"0d153a5a","timestamp":"2026-04-24T14:23:00.391Z","message":{"role":"toolResult","toolCallId":"call_01_VhM7mDmZu2itLrCPt3LcEA3F","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-bf2s3h/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: DeepSeek V4的技术报告里，藏着一个容易被忽略但信息量极大的细节——模型训练全程使用了Muo...\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...\nError: No cover image. Provide via --cover, frontmatter.coverImage, or include an image in content.\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":3036,"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-bf2s3h/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: DeepSeek V4的技术报告里，藏着一个容易被忽略但信息量极大的细节——模型训练全程使用了Muo...\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...\nError: No cover image. Provide via --cover, frontmatter.coverImage, or include an image in content.\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777040580390}} {"type":"message","id":"5ffcf7fd","parentId":"c1eefc00","timestamp":"2026-04-24T14:23:04.243Z","message":{"role":"assistant","content":[{"type":"text","text":"The website published successfully. The wechat publish failed because it needs a cover image. Let me use the existing cover image and re-run:"},{"type":"toolCall","id":"call_00_QOGQ3awPvFI6wSyMs8oIeveg","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && WECHAT_APP_ID=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeekV4Muon开源-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\" --cover /root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":649,"output":247,"cacheRead":31616,"cacheWrite":0,"totalTokens":32512,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040580391,"responseId":"96a4e457-3c08-4b9d-ad80-391d73d26c9e"}} {"type":"message","id":"c5195cc4","parentId":"5ffcf7fd","timestamp":"2026-04-24T14:23:14.283Z","message":{"role":"toolResult","toolCallId":"call_00_QOGQ3awPvFI6wSyMs8oIeveg","toolName":"exec","content":[{"type":"text","text":"Command still running (session marine-ember, pid 3115128). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"marine-ember","pid":3115128,"startedAt":1777040584261,"cwd":"/root/.openclaw/workspace/fabu","tail":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-ESyCxR/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: DeepSeek V4的技术报告里，藏着一个容易被忽略但信息量极大的细节——模型训练全程使用了Muo...\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/发布大师/workspace/cover-deepseek.jpg\n"},"isError":false,"timestamp":1777040594282}} {"type":"message","id":"c8f2839d","parentId":"c5195cc4","timestamp":"2026-04-24T14:23:21.778Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_j0JJGi67TxOMw31aPnQZljsH","name":"process","arguments":{"action":"poll","sessionId":"marine-ember","timeout":45000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":46,"output":79,"cacheRead":32512,"cacheWrite":0,"totalTokens":32637,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040594284,"responseId":"ac5e2556-9db6-4a97-9567-f754c1d55e6f"}} {"type":"message","id":"80e0110a","parentId":"c8f2839d","timestamp":"2026-04-24T14:23:21.806Z","message":{"role":"toolResult","toolCallId":"call_00_j0JJGi67TxOMw31aPnQZljsH","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-ESyCxR/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: DeepSeek V4的技术报告里，藏着一个容易被忽略但信息量极大的细节——模型训练全程使用了Muo...\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/发布大师/workspace/cover-deepseek.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfrLH5PHsNJsBC5kXTZ2KJ7VC9tD6Llbc-s1Zy_v4ZWkA\",\n \"title\": \"DeepSeek V4\\\"偷师\\\"Kimi Muon：中国AI开源反超的隐秘战场\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfrLH5PHsNJsBC5kXTZ2KJ7VC9tD6Llbc-s1Zy_v4ZWkA\n\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"marine-ember","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-ESyCxR/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: DeepSeek V4的技术报告里，藏着一个容易被忽略但信息量极大的细节——模型训练全程使用了Muo...\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/发布大师/workspace/cover-deepseek.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfrLH5PHsNJsBC5kXTZ2KJ7VC9tD6Llbc-s1Zy_v4ZWkA\",\n \"title\": \"DeepSeek V4\\\"偷师\\\"Kimi Muon：中国AI开源反超的隐秘战场\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfrLH5PHsNJsBC5kXTZ2KJ7VC9tD6Llbc-s1Zy_v4ZWkA\n","name":"cd /root/.openclaw/agents/发布大师/workspace"},"isError":false,"timestamp":1777040601806}} {"type":"message","id":"5bdd98df","parentId":"80e0110a","timestamp":"2026-04-24T14:23:24.256Z","message":{"role":"assistant","content":[{"type":"text","text":"Both channels published successfully. Let me verify the website article ID:"},{"type":"toolCall","id":"call_00_4rPbusVQFpwWEx9aFtYKP5yQ","name":"read","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4Muon-log.json"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":545,"output":79,"cacheRead":32512,"cacheWrite":0,"totalTokens":33136,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040601807,"responseId":"03e9ba67-29e9-48e9-b2d7-0387031ecd5c"}} {"type":"message","id":"9cf63ac5","parentId":"5bdd98df","timestamp":"2026-04-24T14:23:24.286Z","message":{"role":"toolResult","toolCallId":"call_00_4rPbusVQFpwWEx9aFtYKP5yQ","toolName":"read","content":[{"type":"text","text":"{\n \"timestamp\": \"2026-04-24T14:22:58.440Z\",\n \"title\": \"DeepSeek V4\\\"偷师\\\"Kimi Muon：中国AI开源反超的隐秘战场\",\n \"postId\": \"unknown\",\n \"platform\": \"Z-Blog网站\",\n \"status\": \"success\",\n \"categories\": [\n \"默认分类\",\n \"AI人工智能\",\n \"大模型\"\n ],\n \"tags\": [\n \"DeepSeek-V4\",\n \"Kimi\",\n \"Muon优化器\",\n \"开源AI\",\n \"MLA架构\",\n \"中国AI\"\n ]\n}"}],"isError":false,"timestamp":1777040604286}} {"type":"message","id":"7cb34d1a","parentId":"9cf63ac5","timestamp":"2026-04-24T14:23:35.071Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me also check the recent posts to get the actual post ID:"},{"type":"toolCall","id":"call_00_t4I44Ym4AoZwZ5Nb1VHlK6Qo","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && node -e \"\nconst http = require('http');\nconst https = require('https');\n\nfunction escapeXml(s) {\n return String(s).replace(/&/g, '&').replace(//g, '>').replace(/\\\"/g, '"').replace(/'/g, ''');\n}\n\nfunction paramToXml(val) {\n if (typeof val === 'string') return '' + escapeXml(val) + '';\n if (typeof val === 'number') return '' + val + '';\n if (Array.isArray(val)) {\n let xml = '';\n for (const item of val) xml += '' + paramToXml(item) + '';\n xml += '';\n return xml;\n }\n return '';\n}\n\nfunction buildXmlRpcRequest(method, params) {\n let xml = '' + method + '';\n for (const p of params) xml += '' + paramToXml(p) + '';\n xml += '';\n return xml;\n}\n\nfunction xmlrpcCall(method, params) {\n return new Promise((resolve, reject) => {\n const xml = buildXmlRpcRequest(method, params);\n const transport = method === 'metaWeblog.getRecentPosts' ? https : https;\n const url = new URL('https://weixinsiwei.com/zb_system/xml-rpc/index.php');\n const options = { hostname: url.hostname, port: 443, path: url.pathname, method: 'POST', headers: { 'Content-Type': 'text/xml', 'Content-Length': Buffer.byteLength(xml) } };\n const req = transport.request(options, (res) => { let d = ''; res.on('data', c => d += c); res.on('end', () => resolve(d)); });\n req.on('error', reject);\n req.write(xml);\n req.end();\n });\n}\n\nasync function main() {\n const result = await xmlrpcCall('metaWeblog.getRecentPosts', ['68ba1ff10060dd54f1e399b8e332bdba', 'admin', '135269zxj', 5]);\n const posts = result.split('').slice(1);\n for (const p of posts) {\n const t = p.match(/title<\\\\/name>\\\\s*\\\\s*([^<]*)<\\\\/string>/);\n const id = p.match(/(?:postid|postId)<\\\\/name>\\\\s*\\\\s*(?:([^<]*)<\\\\/string>|([^<]*)<\\\\/int>)/);\n if (t) console.log('ID:', id ? (id[1] || id[2]) : '?', 'Title:', t[1]);\n }\n}\nmain().catch(e => console.error(e.message));\n\" 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":263,"output":785,"cacheRead":33024,"cacheWrite":0,"totalTokens":34072,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040604287,"responseId":"08148e20-fde0-4621-a172-10cc3663ef8f"}} {"type":"message","id":"bc583def","parentId":"7cb34d1a","timestamp":"2026-04-24T14:23:35.853Z","message":{"role":"toolResult","toolCallId":"call_00_t4I44Ym4AoZwZ5Nb1VHlK6Qo","toolName":"exec","content":[{"type":"text","text":"ID: 9413 Title: DeepSeek-V4牵手国家超算：国产AI基础设施的合纵时刻\nID: 9418 Title: DeepSeek V4&quot;偷师&quot;Kimi Muon：中国AI开源反超的隐秘战场\nID: 9417 Title: 阿里云百炼首发DeepSeek-V4：价格击穿地板，国产AI从&quot;找模型&quot;到&quot;找平台&quot;\nID: 9416 Title: （已删除）对手的恐惧是最好的赞美\nID: 9415 Title: （已删除）对手的恐惧是最好的赞美"}],"details":{"status":"completed","exitCode":0,"durationMs":754,"aggregated":"ID: 9413 Title: DeepSeek-V4牵手国家超算：国产AI基础设施的合纵时刻\nID: 9418 Title: DeepSeek V4&quot;偷师&quot;Kimi Muon：中国AI开源反超的隐秘战场\nID: 9417 Title: 阿里云百炼首发DeepSeek-V4：价格击穿地板，国产AI从&quot;找模型&quot;到&quot;找平台&quot;\nID: 9416 Title: （已删除）对手的恐惧是最好的赞美\nID: 9415 Title: （已删除）对手的恐惧是最好的赞美","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777040615853}} {"type":"message","id":"9b18f043","parentId":"bc583def","timestamp":"2026-04-24T14:23:40.062Z","message":{"role":"assistant","content":[{"type":"text","text":"文章ID是9418。现在来更新日志文件："},{"type":"toolCall","id":"call_00_9FJVlPn3DfbKIzSCrrl3a6BE","name":"write","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4Muon-log.json","content":"{\n \"timestamp\": \"2026-04-24T22:22:58.440+08:00\",\n \"title\": \"DeepSeek V4\\\"偷师\\\"Kimi Muon：中国AI开源反超的隐秘战场\",\n \"postId\": \"9418\",\n \"platform\": \"Z-Blog网站\",\n \"wechatMediaId\": \"imBwNhfy9Uv4ps2luE5gfrLH5PHsNJsBC5kXTZ2KJ7VC9tD6Llbc-s1Zy_v4ZWkA\",\n \"status\": \"success\",\n \"categories\": [\"默认分类\", \"AI人工智能\", \"大模型\"],\n \"tags\": [\"DeepSeek-V4\", \"Kimi\", \"Muon优化器\", \"开源AI\", \"MLA架构\", \"中国AI\"]\n}\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":178,"output":277,"cacheRead":34048,"cacheWrite":0,"totalTokens":34503,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777040615854,"responseId":"dbce6283-3e30-4bd5-9548-8888f87a02d1"}} {"type":"message","id":"010f629e","parentId":"9b18f043","timestamp":"2026-04-24T14:23:40.098Z","message":{"role":"toolResult","toolCallId":"call_00_9FJVlPn3DfbKIzSCrrl3a6BE","toolName":"write","content":[{"type":"text","text":"Successfully wrote 376 bytes to /root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4Muon-log.json"}],"isError":false,"timestamp":1777040620098}} {"type":"message","id":"d81a94a4","parentId":"010f629e","timestamp":"2026-04-24T14:23:44.819Z","message":{"role":"assistant","content":[{"type":"text","text":"## ✅ 发布总结\n\n**文章：**《DeepSeek V4\"偷师\"Kimi Muon：中国AI开源反超的隐秘战场》 \n**作者：** ai张三疯\n\n### 双渠道发布成功\n\n| 渠道 | 状态 | 详情 |\n|------|------|------|\n| **微信公众号**（创业张三疯） | ✅ 已发布到草稿箱 | `media_id: imBwNhfy9Uv...` |\n| **网站**（weixinsiwei.com） | ✅ 已发布 | 文章ID: 9418 → https://weixinsiwei.com/post/9418.html |\n\n### 网站发布详情\n- 分类：默认分类 / AI人工智能 / 大模型\n- 标签：DeepSeek-V4, Kimi, Muon优化器, 开源AI, MLA架构, 中国AI\n- 封面：使用了 cover-deepseek.jpg\n- 已处理容器替换逻辑（`class=\"container\"` → 内联 `max-width` 样式）"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":116,"output":224,"cacheRead":34432,"cacheWrite":0,"totalTokens":34772,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1777040620099,"responseId":"1afcaec6-434d-4f03-a5ee-c47595d7c065"}}