{"type":"session","version":3,"id":"f3ee1f51-4d08-46a4-ab39-fc35765c546c","timestamp":"2026-05-17T06:36:38.145Z","cwd":"/root/.openclaw/workspace/fabu"} {"type":"model_change","id":"7e00e86e","parentId":null,"timestamp":"2026-05-17T06:36:38.154Z","provider":"deepseek","modelId":"deepseek-chat"} {"type":"thinking_level_change","id":"21be5419","parentId":"7e00e86e","timestamp":"2026-05-17T06:36:38.154Z","thinkingLevel":"off"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1778999798180,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"400c8a6f","parentId":"21be5419","timestamp":"2026-05-17T06:36:38.180Z"} {"type":"message","id":"08a23b98","parentId":"400c8a6f","timestamp":"2026-05-17T06:36:38.216Z","message":{"role":"user","content":[{"type":"text","text":"[Sun 2026-05-17 14:36 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":1778999798185}} {"type":"message","id":"9a6d48df","parentId":"08a23b98","timestamp":"2026-05-17T06:36:39.791Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me start by reading the two files I need to work with."},{"type":"toolCall","id":"call_00_kuXfNNXXyylxrKsHrW9w3027","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-17/算力网来了-Token涨价.md"}},{"type":"toolCall","id":"call_01_zJ6y8GhRnBpGpV2VSUkY2693","name":"read","arguments":{"path":"/tmp/computing-net-article.html"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":4698,"output":125,"cacheRead":7168,"cacheWrite":0,"totalTokens":11991,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778999798217,"responseId":"652dc245-b9a3-47c5-b090-36b7f0fd0594"}} {"type":"message","id":"e067f1d6","parentId":"9a6d48df","timestamp":"2026-05-17T06:36:39.913Z","message":{"role":"toolResult","toolCallId":"call_00_kuXfNNXXyylxrKsHrW9w3027","toolName":"read","content":[{"type":"text","text":"# Token越来越贵，但国家正在让算力像水电一样普惠\n\n\"不是说AI越来越便宜吗？\"\n\n你最近如果真在大量用AI产品，大概率笑不出来。\n\n2025年底那会儿，调用一次大模型API也就几厘钱。到了2026年5月，同样一个请求，价格翻了不止一倍。腾讯云部分模型涨幅超过400%，阿里云一个月内连续三次上调定价。\n\n涨价通知一封接一封，跟商量好了似的。\n\n这到底是怎么回事？\n\n## 不是AI变贵了，是用的人太多了\n\n先看一组数据。\n\n2026年3月，我国日均Token调用量超过了140万亿。什么概念？2024年初这个数字还不到现在的千分之一。一年多时间，增长了1000多倍。\n\n1000倍。\n\n你想想，任何一个行业，需求在一年半不到的时间里暴涨1000倍——价格不飞涨才奇怪。\n\n大模型不再是什么新鲜概念了。从写周报到编代码，从客服应答到医疗诊断，企业把AI当成了标配。每个公司都在往模型里喂数据、调参数、跑推理。这些动作叠加起来，对算力的消耗是指数级的。\n\n而算力基础设施的扩容，可没法按\"倍\"来涨。芯片供给有瓶颈、电力有上限、数据中心建设有周期。\n\n供需两端一掰手腕，结果很直接：**Token涨价了。**\n\n这其实不是什么新闻。任何资源从稀缺走向普及的过程中，都会经历这样一个阶段。早期需求爆发，供给跟不上，价格冲高，然后供给端开始大规模投入，最终价格回落。\n\n但这次不一样的地方在于：**推动供给端变化的，不再只是市场。国家出手了。**\n\n## 算力网：一场顶层设计的\"基础设施革命\"\n\n就在上个月，国务院常务会议明确提出：加强\"水网、新型电网、算力网、新一代通信网、城市地下管网、物流网\"规划建设。\n\n注意，算力网被放在了和水、电网同等的位置。\n\n这不是随口一提。此前中央政治局会议也有相同表述，\"十五五\"规划更是白纸黑字写着\"构建多层次算力设施体系和全国一体化算力网\"。\n\n什么叫算力网？说白了，就是**算力版的国家电网**。\n\n把全国各地的数据中心、超算中心、智算中心连成一张网，统一调度、按需分配。你不需要知道算力从哪来，就像你不需要关心电从哪个发电厂来一样。插上插头，就有电。接入网络，就有算力。\n\n国家发改委的数据显示，今年\"六张网\"及相关领域投资总额预计超过7万亿元。\n\n7万亿。这不是做实验，这是动真格地在建基础设施。\n\n## 想想当年的手机流量\n\n这让我想起一个特别相似的场景：手机上网。\n\n2012年前后，你拿手机看个视频都心疼流量——1MB好几毛钱用4G那年头，资费降了一波又一波。4G普及之后，流量从奢侈品变成了日用品。直播、短视频、移动支付，这些今天看起来理所当然的应用，都是在流量变得足够便宜之后才爆发的。\n\n算力网要走的，就是同一条路。\n\n早期算力贵，只有大公司用得起。大模型训练一次几千万，API调用按毫秒计费，普通的创业公司玩不转。这跟当年只有商务人士舍得开流量套餐是一个道理。\n\n但如果\"算力像水电一样普惠\"真的实现了呢？\n\n想象一下：你是一个做AI应用的创业者，不再需要关心底层算力从哪来。不用自己买GPU，不用纠结部署哪个云厂商，不用为了省几万块算力费熬夜调参数。你开箱即用，按使用量付费，像交水电费一样简单。\n\n那意味着什么？意味着**创新门槛被砍掉了一大截**。\n\n4G+流量便宜化催生了上万亿美元的移动互联网生态。算力网如果大规模铺开，它对AI生态的撬动作用只可能更大。\n\n## 对创业者的启示：别只看\"贵不贵\"，要看\"变没变\"\n\n现在这个阶段，很多人还在抱怨Token涨价。\n\n但如果你想在这个行业里找到机会，就不该只盯着当下的价格看。你应该关心的是：基础设施正在发生什么样的变化？\n\n每一次基础设施的革命，都会催生出一批新的物种。\n\n电来了，才有了家电行业，才有了生产线自动化。\n互联网来了，才有了电商，才有了社交网络。\n移动互联网来了，才有了美团，有了滴滴，有了抖音。\n\n而算力网，是把算力本身变成基础设施。这意味着：\n\n**算力将会像金融一样，成为万业之源。**\n\n想想金融是怎么改变商业世界的。没有银行、没有支付系统、没有信贷体系，就没有现代商业。算力正在走同样的路——它正在从一个\"需不需要\"的问题，变成一个\"想用多少用多少\"的问题。\n\n那些提前意识到这一点的人，正在悄悄布局。\n\n有人在算力网的基础上做AI Agent的服务平台。\n有人在算力网的边缘节点上做实时推理应用。\n有人在算力网的调度层做工具和中间件。\n\n他们赌的不是某个大模型会赢。他们赌的是，算力普惠这件事一定会发生。\n\n## 所以，Token还会涨价吗？\n\n短期看，会。供需失衡还没缓解，需求还在飙涨。\n\n但放在更长的时间维度上——当算力网这张大网铺开，当7万亿的投资落地，当算力像水电一样流入千家万户——Token的价格走上下行通道，几乎是必然的。\n\n到那时候，真正值得思考的问题就不是\"Token多少钱\"了，而是：\n\n**当算力不再稀缺，你的想象力够不够用？**"}],"isError":false,"timestamp":1778999799912}} {"type":"message","id":"bca1a93c","parentId":"e067f1d6","timestamp":"2026-05-17T06:36:39.913Z","message":{"role":"toolResult","toolCallId":"call_01_zJ6y8GhRnBpGpV2VSUkY2693","toolName":"read","content":[{"type":"text","text":"

Token越来越贵，但国家正在让算力像水电一样普惠

\n

\"不是说AI越来越便宜吗？\"

\n

你最近如果真在大量用AI产品，大概率笑不出来。

\n

2025年底那会儿，调用一次大模型API也就几厘钱。到了2026年5月，同样一个请求，价格翻了不止一倍。腾讯云部分模型涨幅超过400%，阿里云一个月内连续三次上调定价。

\n

涨价通知一封接一封，跟商量好了似的。

\n

这到底是怎么回事？

\n

不是AI变贵了，是用的人太多了

\n

先看一组数据。

\n

2026年3月，我国日均Token调用量超过了140万亿。什么概念？2024年初这个数字还不到现在的千分之一。一年多时间，增长了1000多倍。

\n

1000倍。

\n

你想想，任何一个行业，需求在一年半不到的时间里暴涨1000倍——价格不飞涨才奇怪。

\n

大模型不再是什么新鲜概念了。从写周报到编代码，从客服应答到医疗诊断，企业把AI当成了标配。每个公司都在往模型里喂数据、调参数、跑推理。这些动作叠加起来，对算力的消耗是指数级的。

\n

而算力基础设施的扩容，可没法按\"倍\"来涨。芯片供给有瓶颈、电力有上限、数据中心建设有周期。

\n

供需两端一掰手腕，结果很直接：Token涨价了。

\n

这其实不是什么新闻。任何资源从稀缺走向普及的过程中，都会经历这样一个阶段。早期需求爆发，供给跟不上，价格冲高，然后供给端开始大规模投入，最终价格回落。

\n

但这次不一样的地方在于：推动供给端变化的，不再只是市场。国家出手了。

\n

算力网：一场顶层设计的\"基础设施革命\"

\n

就在上个月，国务院常务会议明确提出：加强\"水网、新型电网、算力网、新一代通信网、城市地下管网、物流网\"规划建设。

\n

注意，算力网被放在了和水、电网同等的位置。

\n

这不是随口一提。此前中央政治局会议也有相同表述，\"十五五\"规划更是白纸黑字写着\"构建多层次算力设施体系和全国一体化算力网\"。

\n

什么叫算力网？说白了，就是算力版的国家电网。

\n

把全国各地的数据中心、超算中心、智算中心连成一张网，统一调度、按需分配。你不需要知道算力从哪来，就像你不需要关心电从哪个发电厂来一样。插上插头，就有电。接入网络，就有算力。

\n

国家发改委的数据显示，今年\"六张网\"及相关领域投资总额预计超过7万亿元。

\n

7万亿。这不是做实验，这是动真格地在建基础设施。

\n

想想当年的手机流量

\n

这让我想起一个特别相似的场景：手机上网。

\n

2012年前后，你拿手机看个视频都心疼流量——1MB好几毛钱用4G那年头，资费降了一波又一波。4G普及之后，流量从奢侈品变成了日用品。直播、短视频、移动支付，这些今天看起来理所当然的应用，都是在流量变得足够便宜之后才爆发的。

\n

算力网要走的，就是同一条路。

\n

早期算力贵，只有大公司用得起。大模型训练一次几千万，API调用按毫秒计费，普通的创业公司玩不转。这跟当年只有商务人士舍得开流量套餐是一个道理。

\n

但如果\"算力像水电一样普惠\"真的实现了呢？

\n

想象一下：你是一个做AI应用的创业者，不再需要关心底层算力从哪来。不用自己买GPU，不用纠结部署哪个云厂商，不用为了省几万块算力费熬夜调参数。你开箱即用，按使用量付费，像交水电费一样简单。

\n

那意味着什么？意味着创新门槛被砍掉了一大截。

\n

4G+流量便宜化催生了上万亿美元的移动互联网生态。算力网如果大规模铺开，它对AI生态的撬动作用只可能更大。

\n

对创业者的启示：别只看\"贵不贵\"，要看\"变没变\"

\n

现在这个阶段，很多人还在抱怨Token涨价。

\n

但如果你想在这个行业里找到机会，就不该只盯着当下的价格看。你应该关心的是：基础设施正在发生什么样的变化？

\n

每一次基础设施的革命，都会催生出一批新的物种。

\n

电来了，才有了家电行业，才有了生产线自动化。\n互联网来了，才有了电商，才有了社交网络。\n移动互联网来了，才有了美团，有了滴滴，有了抖音。

\n

而算力网，是把算力本身变成基础设施。这意味着：

\n

算力将会像金融一样，成为万业之源。

\n

想想金融是怎么改变商业世界的。没有银行、没有支付系统、没有信贷体系，就没有现代商业。算力正在走同样的路——它正在从一个\"需不需要\"的问题，变成一个\"想用多少用多少\"的问题。

\n

那些提前意识到这一点的人，正在悄悄布局。

\n

有人在算力网的基础上做AI Agent的服务平台。\n有人在算力网的边缘节点上做实时推理应用。\n有人在算力网的调度层做工具和中间件。

\n

他们赌的不是某个大模型会赢。他们赌的是，算力普惠这件事一定会发生。

\n

所以，Token还会涨价吗？

\n

短期看，会。供需失衡还没缓解，需求还在飙涨。

\n

但放在更长的时间维度上——当算力网这张大网铺开，当7万亿的投资落地，当算力像水电一样流入千家万户——Token的价格走上下行通道，几乎是必然的。

\n

到那时候，真正值得思考的问题就不是\"Token多少钱\"了，而是：

\n

当算力不再稀缺，你的想象力够不够用？

\n"}],"isError":false,"timestamp":1778999799912}} {"type":"message","id":"8b0f81fd","parentId":"bca1a93c","timestamp":"2026-05-17T06:36:41.889Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, I have both files. Now let me execute both tasks. For Task A (WeChat), I'll run the script. For Task B (Z-Blog via XML-RPC), I'll need to write a posting script.\n\nLet me start both:"},{"type":"toolCall","id":"call_00_YIW8tZpGHtUx1XpfeOPM0436","name":"exec","arguments":{"command":"ls -la /root/.openclaw/agents/101/workspace/imgs/cover.png 2>/dev/null && echo \"Cover exists\" || echo \"Cover NOT found\""}},{"type":"toolCall","id":"call_01_35iccmA3wWgwzoNdhXva2804","name":"exec","arguments":{"command":"ls -la /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>/dev/null && echo \"Script exists\" || echo \"Script NOT found\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2802,"output":212,"cacheRead":11776,"cacheWrite":0,"totalTokens":14790,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778999799913,"responseId":"3e085fe4-20c7-4ed7-806e-46f1c910e388"}} {"type":"message","id":"9d3f2240","parentId":"8b0f81fd","timestamp":"2026-05-17T06:36:42.093Z","message":{"role":"toolResult","toolCallId":"call_00_YIW8tZpGHtUx1XpfeOPM0436","toolName":"exec","content":[{"type":"text","text":"-rw-r--r-- 1 root root 159045 Mar 26 13:01 /root/.openclaw/agents/101/workspace/imgs/cover.png\nCover exists"}],"details":{"status":"completed","exitCode":0,"durationMs":50,"aggregated":"-rw-r--r-- 1 root root 159045 Mar 26 13:01 /root/.openclaw/agents/101/workspace/imgs/cover.png\nCover exists","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778999802093}} {"type":"message","id":"804af325","parentId":"9d3f2240","timestamp":"2026-05-17T06:36:42.094Z","message":{"role":"toolResult","toolCallId":"call_01_35iccmA3wWgwzoNdhXva2804","toolName":"exec","content":[{"type":"text","text":"-rw-r--r-- 1 root root 21517 Mar 26 12:20 /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts\nScript exists"}],"details":{"status":"completed","exitCode":0,"durationMs":112,"aggregated":"-rw-r--r-- 1 root root 21517 Mar 26 12:20 /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts\nScript exists","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778999802093}} {"type":"message","id":"f916019b","parentId":"804af325","timestamp":"2026-05-17T06:36:43.194Z","message":{"role":"assistant","content":[{"type":"text","text":"Both files exist. Let me first check the WeChat API script to understand its expected usage and requirements:"},{"type":"toolCall","id":"call_00_oAmvBdx1vCwBCpupY33V8197","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":183,"output":92,"cacheRead":14720,"cacheWrite":0,"totalTokens":14995,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778999802094,"responseId":"99dc4e7e-5941-4fc7-bf8a-d3179e068999"}} {"type":"message","id":"0fcae531","parentId":"f916019b","timestamp":"2026-05-17T06:36:43.263Z","message":{"role":"toolResult","toolCallId":"call_00_oAmvBdx1vCwBCpupY33V8197","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=***\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 = `${UPLOAD_URL}?access_token=***&type=image`;\n const res = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": `multipart/form-data; boundary=${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=***\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":1778999803262}} {"type":"message","id":"062f06f7","parentId":"0fcae531","timestamp":"2026-05-17T06:36:46.897Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me run Task A (WeChat post). The script is a TypeScript file that uses `bun`:"},{"type":"toolCall","id":"call_00_DXMSJCh0lKV96nXOJUuK1745","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-17 && \\\nWECHAT_APP_ID=wx88b0cf376e0386c4 \\\nWECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f \\\nbun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts \\\n/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-17/算力网来了-Token涨价.md \\\n--theme default --color blue --author \"ai张三疯\" \\\n--cover /root/.openclaw/agents/101/workspace/imgs/cover.png 2>&1","timeout":120}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":5989,"output":259,"cacheRead":14976,"cacheWrite":0,"totalTokens":21224,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778999803263,"responseId":"21f19176-9b9a-47ce-b290-31f0283ef6ae"}} {"type":"message","id":"82cfb16a","parentId":"062f06f7","timestamp":"2026-05-17T06:36:56.975Z","message":{"role":"toolResult","toolCallId":"call_00_DXMSJCh0lKV96nXOJUuK1745","toolName":"exec","content":[{"type":"text","text":"Command still running (session amber-summit, pid 649559). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"amber-summit","pid":649559,"startedAt":1778999806934,"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-rR2JXs/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: Token越来越贵，但国家正在让算力像水电一样普惠\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 你最近如果真在大量用AI产品，大概率笑不出来。...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/imgs/cover.png\n"},"isError":false,"timestamp":1778999816974}} {"type":"message","id":"c1a082f2","parentId":"82cfb16a","timestamp":"2026-05-17T06:36:58.297Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_SL2geQrpMFOEf0t1eXyd3523","name":"process","arguments":{"action":"poll","sessionId":"amber-summit","timeout":60000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":149,"output":79,"cacheRead":21120,"cacheWrite":0,"totalTokens":21348,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778999816976,"responseId":"3ea2b740-e6e9-49e7-baf1-37d3d7a3ab54"}} {"type":"message","id":"c2b9391c","parentId":"c1a082f2","timestamp":"2026-05-17T06:37:00.372Z","message":{"role":"toolResult","toolCallId":"call_00_SL2geQrpMFOEf0t1eXyd3523","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-rR2JXs/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: Token越来越贵，但国家正在让算力像水电一样普惠\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 你最近如果真在大量用AI产品，大概率笑不出来。...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/imgs/cover.png\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfnXlhwzUnJMB-biilgfUHwExrh8fWCKw6_pL9hrHeB9Q\",\n \"title\": \"Token越来越贵，但国家正在让算力像水电一样普惠\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfnXlhwzUnJMB-biilgfUHwExrh8fWCKw6_pL9hrHeB9Q\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"amber-summit","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-rR2JXs/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: Token越来越贵，但国家正在让算力像水电一样普惠\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 你最近如果真在大量用AI产品，大概率笑不出来。...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/imgs/cover.png\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfnXlhwzUnJMB-biilgfUHwExrh8fWCKw6_pL9hrHeB9Q\",\n \"title\": \"Token越来越贵，但国家正在让算力像水电一样普惠\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfnXlhwzUnJMB-biilgfUHwExrh8fWCKw6_pL9hrHeB9Q\n","name":"cd /root/.openclaw/agents...t-to-wechat/2026-05-17"},"isError":false,"timestamp":1778999820372}} {"type":"message","id":"950122cf","parentId":"c2b9391c","timestamp":"2026-05-17T06:37:06.719Z","message":{"role":"assistant","content":[{"type":"text","text":"Task A is done - posted to 创业张三疯 公众号 draft successfully. Now for Task B - posting to 创业思维网 via Z-Blog XML-RPC. I'll write a Python script to do this:"},{"type":"toolCall","id":"call_00_ZRmZXJsXbGH6N8WMbHyt1766","name":"write","arguments":{"path":"/tmp/post_zb.py","content":"#!/usr/bin/env python3\n\"\"\"Post HTML article to Z-Blog via XML-RPC.\"\"\"\n\nimport xmlrpc.client\nimport sys\n\nBLOG_URL = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\"\nUSERNAME = \"admin\"\nPASSWORD = \"135269zxj\"\nBLOG_ID = \"68ba1ff10060dd54f1e399b8e332bdba\"\nHTML_FILE = \"/tmp/computing-net-article.html\"\n\ndef extract_title_html(filepath):\n with open(filepath, \"r\", encoding=\"utf-8\") as f:\n html = f.read()\n # Extract title from <h1>\n import re\n h1_match = re.search(r'<h1[^>]*>([^<]+)</h1>', html)\n title = h1_match.group(1).strip() if h1_match else \"算力网来了\"\n return title, html\n\ndef post():\n title, html_content = extract_title_html(HTML_FILE)\n \n print(f\"Title: {title}\")\n print(f\"HTML length: {len(html_content)} chars\")\n \n server = xmlrpc.client.ServerProxy(BLOG_URL)\n \n # First, let's get recent posts to verify connectivity\n print(\"\\n=== Verifying connectivity - fetching recent posts ===\")\n try:\n recent = server.metaWeblog.getRecentPosts(BLOG_ID, USERNAME, PASSWORD, 3)\n print(f\"Connected! Found {len(recent)} recent posts:\")\n for post in recent:\n print(f\" - [{post.get('postid', '?')}] {post.get('title', '?')}\")\n except Exception as e:\n print(f\"Error fetching recent posts: {e}\")\n # Try alternate method\n try:\n recent = server.wp.getPosts(BLOG_ID, USERNAME, PASSWORD, {\"number\": 3})\n print(f\"Connected via wp.getPosts! Found {len(recent)} posts:\")\n for p in recent:\n print(f\" - [{p.get('post_id', '?')}] {p.get('post_title', '?')}\")\n except Exception as e2:\n print(f\"Also failed: {e2}\")\n sys.exit(1)\n \n # Now post\n print(\"\\n=== Posting article ===\")\n post_data = {\n \"title\": title,\n \"description\": html_content,\n \"categories\": [\"AI政策\", \"算力基础设施\"],\n }\n \n try:\n result = server.metaWeblog.newPost(BLOG_ID, USERNAME, PASSWORD, post_data, True)\n print(f\"Published! Post ID: {result}\")\n except Exception as e:\n print(f\"Error posting: {e}\")\n sys.exit(1)\n \n # Verify\n print(\"\\n=== Verifying - fetching recent posts ===\")\n try:\n recent = server.metaWeblog.getRecentPosts(BLOG_ID, USERNAME, PASSWORD, 5)\n for p in recent:\n print(f\" - [{p.get('postid', '?')}] {p.get('title', '?')} - {p.get('dateCreated', '?')}\")\n except Exception as e:\n print(f\"Verify error: {e}\")\n\nif __name__ == \"__main__\":\n post()\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":485,"output":831,"cacheRead":21248,"cacheWrite":0,"totalTokens":22564,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778999820373,"responseId":"13cc3871-b9c5-4c0f-be03-14d2f4e4025b"}} {"type":"message","id":"c134d060","parentId":"950122cf","timestamp":"2026-05-17T06:37:06.780Z","message":{"role":"toolResult","toolCallId":"call_00_ZRmZXJsXbGH6N8WMbHyt1766","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2512 bytes to /tmp/post_zb.py"}],"isError":false,"timestamp":1778999826780}} {"type":"message","id":"7002564b","parentId":"c134d060","timestamp":"2026-05-17T06:37:07.784Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_MZJOkJDqsgare0lZqFRF5589","name":"exec","arguments":{"command":"cd /tmp && python3 /tmp/post_zb.py 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":62,"output":74,"cacheRead":22528,"cacheWrite":0,"totalTokens":22664,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778999826783,"responseId":"290e22a0-c6ae-48a2-b33c-76f8b9083b80"}} {"type":"message","id":"59c1ff13","parentId":"7002564b","timestamp":"2026-05-17T06:37:08.792Z","message":{"role":"toolResult","toolCallId":"call_00_MZJOkJDqsgare0lZqFRF5589","toolName":"exec","content":[{"type":"text","text":"Title: Token越来越贵，但国家正在让算力像水电一样普惠\nHTML length: 2461 chars\n\n=== Verifying connectivity - fetching recent posts ===\nConnected! Found 3 recent posts:\n - [9596] 对于有思想的人来说，这是最好的时代\n - [9595] 未来已来：大多数人还在聊天，少数人已经在赚钱了\n - [9594] 国产103号赛级燃油投产：一桶油的国产替代，比你想的更有深意\n\n=== Posting article ===\nPublished! Post ID: True\n\n=== Verifying - fetching recent posts ===\n - [9596] 对于有思想的人来说，这是最好的时代 - 2026-05-17T21:08:55+08:00\n - [9595] 未来已来：大多数人还在聊天，少数人已经在赚钱了 - 2026-05-17T19:30:00+08:00\n - [9597] Token越来越贵，但国家正在让算力像水电一样普惠 - 2026-05-17T14:36:26+08:00\n - [9594] 国产103号赛级燃油投产：一桶油的国产替代，比你想的更有深意 - 2026-05-17T10:29:30+08:00\n - [9593] 中国新能源汽车专利突破11万件：技术护城河已经挖好，后来者还能追吗？ - 2026-05-17T10:02:16+08:00"}],"details":{"status":"completed","exitCode":0,"durationMs":943,"aggregated":"Title: Token越来越贵，但国家正在让算力像水电一样普惠\nHTML length: 2461 chars\n\n=== Verifying connectivity - fetching recent posts ===\nConnected! Found 3 recent posts:\n - [9596] 对于有思想的人来说，这是最好的时代\n - [9595] 未来已来：大多数人还在聊天，少数人已经在赚钱了\n - [9594] 国产103号赛级燃油投产：一桶油的国产替代，比你想的更有深意\n\n=== Posting article ===\nPublished! Post ID: True\n\n=== Verifying - fetching recent posts ===\n - [9596] 对于有思想的人来说，这是最好的时代 - 2026-05-17T21:08:55+08:00\n - [9595] 未来已来：大多数人还在聊天，少数人已经在赚钱了 - 2026-05-17T19:30:00+08:00\n - [9597] Token越来越贵，但国家正在让算力像水电一样普惠 - 2026-05-17T14:36:26+08:00\n - [9594] 国产103号赛级燃油投产：一桶油的国产替代，比你想的更有深意 - 2026-05-17T10:29:30+08:00\n - [9593] 中国新能源汽车专利突破11万件：技术护城河已经挖好，后来者还能追吗？ - 2026-05-17T10:02:16+08:00","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778999828792}} {"type":"message","id":"7a14bc32","parentId":"59c1ff13","timestamp":"2026-05-17T06:37:12.854Z","message":{"role":"assistant","content":[{"type":"text","text":"Hmm, `newPost` returned `True` instead of a post ID. That usually means Z-Blog doesn't return the post ID from metaWeblog. But verification confirms the article is there at post ID 9597. Let me also check if the post returned `True` but actually published - the verification shows it's there.\n\nWait, looking more carefully at the verification output: the article appears as post 9597. But `newPost` returned `True` which is odd. Let me check the full list again:\n\nPerfect - post 9597 is there: \"Token越来越贵，但国家正在让算力像水电一样普惠\" - successfully published.\n\nBoth tasks complete. Let me summarize:\n\n---\n\n## ✅ 双平台发布完成\n\n### 任务A：公众号「创业张三疯」✅\n- **草稿已发布成功**\n- media_id: `imBwNhfy9Uv4ps2luE5gfnXlhwzUnJMB-biilgfUHwExrh8fWCKw6_pL9hrHeB9Q`\n- 标题：Token越来越贵，但国家正在让算力像水电一样普惠\n- 作者：ai张三疯\n- 封面：已上传\n- 状态：草稿箱中待手动发布\n\n### 任务B：创业思维网 weixinsiwei.com ✅\n- **文章已发布成功**\n- Post ID: **9597**\n- 标题：Token越来越贵，但国家正在让算力像水电一样普惠\n- 发布时间：2026-05-17 14:36\n- 验证结果：已确认出现在最新文章中"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":355,"output":346,"cacheRead":22656,"cacheWrite":0,"totalTokens":23357,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1778999828793,"responseId":"a047e66f-8e7a-47a0-ad20-902a377f016b"}}