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。
\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。
\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。
\n1000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。
\n7万亿。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。
\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。
\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},{"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"},{"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},{"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},{"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"},{"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([\\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 --no-cite Disable bottom citations for ordinary external links in markdown mode\n --dry-run Parse and render only, don't publish\n --help Show this help\n\nFrontmatter Fields (markdown):\n title Article title\n author Author name\n digest/summary Article summary\n coverImage/featureImage/cover/image Cover image path\n\nComments:\n Comments are enabled by default, open to all users.\n\nEnvironment Variables:\n WECHAT_APP_ID WeChat App ID\n WECHAT_APP_SECRET WeChat App Secret\n\nConfig File Locations (in priority order):\n 1. Environment variables\n 2. <cwd>/.baoyu-skills/.env\n 3. ~/.baoyu-skills/.env\n\nExample:\n npx -y bun wechat-api.ts article.md\n npx -y bun wechat-api.ts article.md --theme grace --cover cover.png\n npx -y bun wechat-api.ts article.md --author \"Author Name\" --summary \"Brief intro\"\n npx -y bun wechat-api.ts article.html --title \"My Article\"\n npx -y bun wechat-api.ts images/ --type newspic --title \"Photo Album\"\n npx -y bun wechat-api.ts article.md --dry-run\n npx -y bun wechat-api.ts article.md --no-cite\n`);\n process.exit(0);\n}\n\ninterface CliArgs {\n filePath: string;\n isHtml: boolean;\n articleType: ArticleType;\n title?: string;\n author?: string;\n summary?: string;\n theme: string;\n color?: string;\n cover?: string;\n account?: string;\n citeStatus: boolean;\n dryRun: boolean;\n}\n\nfunction parseArgs(argv: string[]): CliArgs {\n if (argv.length === 0 || argv.includes(\"--help\") || argv.includes(\"-h\")) {\n printUsage();\n }\n\n const args: CliArgs = {\n filePath: \"\",\n isHtml: false,\n articleType: \"news\",\n theme: \"default\",\n citeStatus: true,\n dryRun: false,\n };\n\n for (let i = 0; i < argv.length; i++) {\n const arg = argv[i]!;\n if (arg === \"--type\" && argv[i + 1]) {\n const t = argv[++i]!.toLowerCase();\n if (t === \"news\" || t === \"newspic\") {\n args.articleType = t;\n }\n } else if (arg === \"--title\" && argv[i + 1]) {\n args.title = argv[++i];\n } else if (arg === \"--author\" && argv[i + 1]) {\n args.author = argv[++i];\n } else if (arg === \"--summary\" && argv[i + 1]) {\n args.summary = argv[++i];\n } else if (arg === \"--theme\" && argv[i + 1]) {\n args.theme = argv[++i]!;\n } else if (arg === \"--color\" && argv[i + 1]) {\n args.color = argv[++i];\n } else if (arg === \"--cover\" && argv[i + 1]) {\n args.cover = argv[++i];\n } else if (arg === \"--account\" && argv[i + 1]) {\n args.account = argv[++i];\n } else if (arg === \"--cite\") {\n args.citeStatus = true;\n } else if (arg === \"--no-cite\") {\n args.citeStatus = false;\n } else if (arg === \"--dry-run\") {\n args.dryRun = true;\n } else if (arg.startsWith(\"--\") && argv[i + 1] && !argv[i + 1]!.startsWith(\"-\")) {\n i++;\n } else if (!arg.startsWith(\"-\")) {\n args.filePath = arg;\n }\n }\n\n if (!args.filePath) {\n console.error(\"Error: File path required\");\n process.exit(1);\n }\n\n args.isHtml = args.filePath.toLowerCase().endsWith(\".html\");\n\n return args;\n}\n\nfunction extractHtmlTitle(html: string): string {\n const titleMatch = html.match(/<title>([^<]+)<\\/title>/i);\n if (titleMatch) return titleMatch[1]!;\n const h1Match = html.match(/<h1[^>]*>([^<]+)<\\/h1>/i);\n if (h1Match) return h1Match[1]!.replace(/<[^>]+>/g, \"\").trim();\n return \"\";\n}\n\nasync function main(): Promise<void> {\n const args = parseArgs(process.argv.slice(2));\n\n const filePath = path.resolve(args.filePath);\n if (!fs.existsSync(filePath)) {\n console.error(`Error: File not found: ${filePath}`);\n process.exit(1);\n }\n\n const baseDir = path.dirname(filePath);\n let title = args.title || \"\";\n let author = args.author || \"\";\n let digest = args.summary || \"\";\n let htmlPath: string;\n let htmlContent: string;\n let frontmatter: Record<string, string> = {};\n let contentImages: ImageInfo[] = [];\n\n if (args.isHtml) {\n htmlPath = filePath;\n htmlContent = extractHtmlContent(htmlPath);\n const mdPath = filePath.replace(/\\.html$/i, \".md\");\n if (fs.existsSync(mdPath)) {\n const mdContent = fs.readFileSync(mdPath, \"utf-8\");\n const parsed = parseFrontmatter(mdContent);\n frontmatter = parsed.frontmatter;\n if (!title && frontmatter.title) title = frontmatter.title;\n if (!author) author = frontmatter.author || \"\";\n if (!digest) digest = frontmatter.digest || frontmatter.summary || frontmatter.description || \"\";\n }\n if (!title) {\n title = extractHtmlTitle(fs.readFileSync(htmlPath, \"utf-8\"));\n }\n console.error(`[wechat-api] Using HTML file: ${htmlPath}`);\n } else {\n const content = fs.readFileSync(filePath, \"utf-8\");\n const parsed = parseFrontmatter(content);\n frontmatter = parsed.frontmatter;\n const body = parsed.body;\n\n title = title || frontmatter.title || \"\";\n if (!title) {\n const h1Match = body.match(/^#\\s+(.+)$/m);\n if (h1Match) title = h1Match[1]!;\n }\n if (!author) author = frontmatter.author || \"\";\n if (!digest) digest = frontmatter.digest || frontmatter.summary || frontmatter.description || \"\";\n\n console.error(`[wechat-api] Theme: ${args.theme}${args.color ? `, color: ${args.color}` : \"\"}, citeStatus: ${args.citeStatus}`);\n const rendered = renderMarkdownWithPlaceholders(filePath, args.theme, args.color, args.citeStatus, args.title);\n htmlPath = rendered.htmlPath;\n contentImages = rendered.contentImages;\n if (!title) title = rendered.title;\n if (!author) author = rendered.author;\n if (!digest) digest = rendered.summary;\n console.error(`[wechat-api] HTML generated: ${htmlPath}`);\n console.error(`[wechat-api] Placeholder images: ${contentImages.length}`);\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"}],"isError":false,"timestamp":1778999803262},{"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=<redacted> \\\nWECHAT_APP_SECRET=<redacted> \\\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"},{"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},{"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"},{"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},{"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"},{"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},{"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"},{"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},{"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"}]}}
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"f3ee1f51-4d08-46a4-ab39-fc35765c546c","source":"runtime","type":"trace.artifacts","ts":"2026-05-17T06:37:12.889Z","seq":6,"sourceSeq":6,"sessionId":"f3ee1f51-4d08-46a4-ab39-fc35765c546c","sessionKey":"agent:fabu:subagent:a2b80974-9919-411a-a55a-8f4e5ef4fc25","runId":"5ecb995d-1c82-4504-af41-dfdb4c058d00","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"capturedAt":"2026-05-17T06:37:12.889Z","finalStatus":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":14723,"output":2018,"cacheRead":136192,"total":152933},"promptCache":{"lastCallUsage":{"input":355,"output":346,"cacheRead":22656,"cacheWrite":0,"total":23357},"lastCacheTouchAt":1778999828793},"compactionCount":0,"assistantTexts":["Let me start by reading the two files I need to work with.","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:","Both files exist. Let me first check the WeChat API script to understand its expected usage and requirements:","Now let me run Task A (WeChat post). The script is a TypeScript file that uses `bun`:","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:","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"],"finalPromptText":"[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.","itemLifecycle":{"startedCount":13,"completedCount":13,"activeCount":0},"toolMetas":[{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-17/算力网来了-Token涨价.md"},{"toolName":"read","meta":"from /tmp/computing-net-article.html"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/imgs/cover.png → print text → print text, `ls -la ~/.openclaw/agents/101/workspace/imgs/cover.png 2>/dev/null && echo \"Cover exists\" || echo \"Cover NOT found\"`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts → print text → print text, `ls -la ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>/dev/null && echo \"Scri…`"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"},{"toolName":"exec","meta":"cd ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-17 && \\ WECHAT_APP_ID=<redacted> \\ WECHAT_APP_SE… (in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-17)"},{"toolName":"process","meta":"amber-summit"},{"toolName":"write","meta":"to /tmp/post_zb.py (2512 chars)"},{"toolName":"exec","meta":"run python3 /tmp/post_zb.py (in /tmp), `cd /tmp && python3 /tmp/post_zb.py 2>&1`"}],"didSendViaMessagingTool":false,"successfulCronAdds":0,"messagingToolSentTexts":[],"messagingToolSentMediaUrls":[],"messagingToolSentTargets":[]}}
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"f3ee1f51-4d08-46a4-ab39-fc35765c546c","source":"runtime","type":"session.ended","ts":"2026-05-17T06:37:12.889Z","seq":7,"sourceSeq":7,"sessionId":"f3ee1f51-4d08-46a4-ab39-fc35765c546c","sessionKey":"agent:fabu:subagent:a2b80974-9919-411a-a55a-8f4e5ef4fc25","runId":"5ecb995d-1c82-4504-af41-dfdb4c058d00","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"status":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false}}