| shell=bash | channel=feishu | capabilities=none | thinking=off\nReasoning: off (hidden unless on/stream). Toggle /reasoning; /status shows Reasoning when enabled.","messages":[],"imagesCount":0}}
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"f573615c-251c-4698-878a-a5065455523f","source":"runtime","type":"model.completed","ts":"2026-05-15T03:25:20.758Z","seq":5,"sourceSeq":5,"sessionId":"f573615c-251c-4698-878a-a5065455523f","sessionKey":"agent:fabu:subagent:a61d2248-0ac0-46dd-aeac-08f138699e6e","runId":"853a6292-5371-43e8-8df3-b4758d09ae80","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":17412,"output":8758,"cacheRead":557952,"total":584122},"promptCache":{"lastCallUsage":{"input":566,"output":376,"cacheRead":30848,"cacheWrite":0,"total":31790},"lastCacheTouchAt":1778815516350},"compactionCount":0,"assistantTexts":["Let me start by reading the article file and checking the workspace.","Good, I can see the article file. Now let me create the HTML file for the website and the publish script. Let me start by creating the HTML file.","I have the reference publish script. Now let me create the HTML file and the publish script simultaneously.","Files created. Now let me run the WeChat publish and the Z-Blog publish in parallel. Let me first check that the wechat-api script exists.","Both scripts and dependencies are available. Let me start both publishing tasks.","Two issues need to be addressed. Let me fix them:\n\n1. **WeChat**: Needs a cover image (--cover or use fallback). The task says \"无封面图，让脚本生成蓝色主题封面\" - so I need to check if there's a way to generate one or provide a placeholder.\n2. **Z-Blog**: The XML-RPC call is getting \"Bad Request\" - could be the content encoding or content type. Let me check the reference publish script more carefully.\n\nLet me investigate both issues.","Let me look at a successful publish script to understand the XML-RPC format better:","I see - the successful scripts use `createSecureClient(endpoint)` format instead of the `createClient({host, path, port, secure})` format. Let me also check the xmlrpc module to see what's compatible:","Let me check the XML-RPC client to understand createSecureClient:","The xmlrpc lib accepts createSecureClient with a URL string or options object. Let me update the publish script to use the same pattern as the known-working scripts:","OK, so `createSecureClient` takes an options object with host, port, url. Let me check how the `url` option works:","OK I see, the new xmlrpc module (at `./openclaw-zblog-markdown-publisher/node_modules/xmlrpc`) handles both string URL and options format. But my script was using the `xmlrpc` from `node_modules/xmlrpc` which might be a different version. The issue is the \"Invalid XML-RPC message / Bad Request\" error. Let me rewrite the script to use the same pattern as the working ones:","Now let me handle the WeChat cover issue. The script needs a cover image. I'll generate a simple blue-themed cover using imagemagick or similar:","Now let me run both tasks simultaneously again - the WeChat publish with the cover image, and the website publish:","Both publishing tasks succeeded. Now let me verify the WeChat draft using batchget:","It seems the dry-run mode uses the first `#` title. Let me verify differently - let me look at the drafts list directly:","The H200 article isn't appearing in batchget. Let me check the actual publish output more carefully - it returned `success: true` with a `media_id`. Let me check if the draft needs a different approach, or if batchget requires `offset=0,count=10` format:","The draft is confirmed with the correct title. The batchget issue might be pagination - let me check:","The structure is different - the items have `content` directly instead of `content_item` or `news_item` when `no_content` is off. Let me fix:","✅ Both publishing tasks are successful and verified. Let me compile the results.\n\n---\n\n## 发布任务完成报告\n\n### ✅ 1. 公众号发布（创业张三疯）\n- **状态：成功** ✅\n- 标题：`特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片`\n- 作者：ai张三疯\n- 封面：蓝色主题封面（已生成上传）\n- 草稿 media_id：`imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE`\n- **验证：已通过 draft/get 确认为草稿箱中，标题正确**\n\n### ✅ 2. 网站发布（创业思维网 weixinsiwei.com）\n- **状态：成功** ✅\n- 发布脚本：`~/.openclaw/agents/发布大师/workspace/publish-h200.js`\n- 文章ID：9587\n- 文章链接：`https://weixinsiwei.com/?post=9587`\n- **验证：已通过 getRecentPosts 确认** - 最新文章标题为\"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\"\n\n### 📋 备注\n- 公众号发布时使用 `--title` 参数正确传递了完整标题（避免截取文件第一行 `## 事情正在起变化`）\n- 生成了临时蓝色封面 `/tmp/wechat-cover-h200.png`\n- 网站发布改用 `createSecureClient(endpoint)` 格式（与之前的成功脚本一致）解决了\"Bad Request\"问题"],"finalPromptText":"[Fri 2026-05-15 11:23 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.","messagesSnapshot":[{"role":"user","content":[{"type":"text","text":"[Fri 2026-05-15 11:23 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":1778815418579},{"role":"assistant","content":[{"type":"text","text":"Let me start by reading the article file and checking the workspace."},{"type":"toolCall","id":"call_00_WExbJp3PYSzNzemJozy92983","name":"read","arguments":{"path":"~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md"}},{"type":"toolCall","id":"call_01_GieAnMgiKPBoUvfiurxE4004","name":"exec","arguments":{"command":"ls ~/.openclaw/agents/101/workspace/"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":4902,"output":138,"cacheRead":7168,"cacheWrite":0,"totalTokens":12208,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815418607,"responseId":"c00d2811-d53d-4e17-b775-a46965745d7c"},{"role":"toolResult","toolCallId":"call_00_WExbJp3PYSzNzemJozy92983","toolName":"read","content":[{"type":"text","text":"\n事情正在起变化。\n\n就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。\n\n**75万颗英伟达H200——这是目前全球性能最强、可用于大模型训练的完整版AI芯片——被批准出口到10家中国公司。**\n\n每个买家最多可拿75000颗。阿里巴巴、腾讯、字节跳动、京东等巨头均在列。\n\n这不是渐进式的松绑，这是闸门式的放开。\n\n---\n\n## 从H20到H200：质的飞跃\n\n此前，美国对中国出口高端AI芯片设限，中国企业只能买到\"阉割版\"的H20/B20芯片。性能被大幅削减，算力打了折扣。\n\nH200基于Hopper架构，是英伟达面向AI训练和推理的旗舰级芯片。与H20相比，它的计算性能高出数倍。简单说，H20能跑的东西，H200能跑得更快、更大、更复杂。\n\n**这不是iPhone 14到iPhone 15的差别，这是自行车到摩托车的差别。**\n\n此前中国AI公司面临的最大瓶颈是什么？算力不够。\n\n做大模型的人都知道，训练一个前沿大模型需要成千上万颗高端GPU连续运行数周甚至数月。H20能用，但效率差一大截。现在H200来了，这个瓶颈直接被打通。\n\n---\n\n## 75万颗H200到底意味着什么？\n\n算一笔简单的账。\n\nH200单颗市场价格约3-4万美元，取中间值3.5万美元：\n\n- 单家公司采购上限75000颗 ≈ **26.25亿美元**\n- 10家公司合计75万颗 ≈ **262.5亿美元**\n\n**这是225-300亿美元级别的采购盘子。**\n\n对英伟达而言，这意味着什么？英伟达目前市值约5.5万亿美元。这单规模对任何其他公司来说都是天文数字，但对英伟达来说，是\"塞牙缝\"级别的确定性收入——相当于季度营收的一次性加成，而且是板上钉钉的大客户长单。\n\n对采购方而言，75000颗H200意味着什么？\n\n当前全球最大规模的大模型训练集群，通常在几万到十几万颗GPU的量级。75000颗H200，足以支撑一家公司独立训练全球第一梯队的通用大模型。**10家公司各自拿到这个量级，意味着中国AI的算力基础设施将发生质变。**\n\n---\n\n## 时机的隐喻：商业谈判桌比政治谈判桌更管用\n\n特朗普刚走。黄仁勋随行。\n\n这不是巧合。\n\n此前几个月，字节跳动被曝出与英伟达洽谈200-400亿美元的算力合作。当时很多人觉得这只是传言，现在看来，那不过是冰山一角。\n\n**真实的叙事是：美国科技巨头们用商业逻辑，打通了政治堵点。**\n\n黄仁勋在特朗普访华代表团的名单上，这不是挂名。当英伟达的工程师和商务团队坐在谈判桌前，算的是未来三年中国AI市场的渗透率和订单规模。而华盛顿的政治逻辑，在万亿美元的商业利益面前，让步了。\n\n这个信号非常明确：**在中美科技博弈中，商业的力量正在重新被证明——它不是政治的附庸，它有自己的方向。**\n\n---\n\n## 谁受益？谁受伤？\n\n**腾讯的混元、字节的豆包、阿里的通义千问、京东的产业AI，还有另外6家公司——他们都是赢家。**\n\n过去两年，中国AI大模型公司的困境是\"有算法、有数据、没算力\"。很多团队不得不去海外租算力，或者用阉割版芯片凑合着跑。现在算力供应彻底打开，产品落地速度会明显加快。\n\n**但国产替代受到冲击了吗？**\n\n短期内会。华为昇腾正在全力追赶，但距离H200的性能差距是客观存在的。75万颗H200涌入，必然会在高端算力市场挤压国产芯片的份额。\n\n不过长期来看，这反而是好事。\n\n一是国产芯片的客户不会完全流失——地缘政治风险始终存在，今天能买，明天也可能被叫停，任何理性的公司都会保持国产芯片的备选份额。\n\n二是竞争是最好的催化剂。华为、寒武纪们必须在更激烈的环境中加速迭代，而不是在\"卡脖子\"的保护伞下慢慢发育。\n\n**美国芯片股会涨，中国AI股也会涨。这是双赢。**\n\n---\n\n## 中美AI：从脱钩到竞合\n\n回顾2022年以来的一系列禁令和限制，中美AI在\"脱钩\"的路上走了很远。\n\n但现在风向在变。\n\n美国不是要放弃AI芯片市场——全球最大的AI应用市场在中国，美国的芯片不做中国的生意，难道只靠军工订单养活整个产业链吗？算不过这个账。\n\n中国的逻辑也很清楚——能买的时候买最好的，同时自己也要能造。两条腿走路，不把鸡蛋放一个篮子里。\n\n**所以这一轮H200的放开，不是\"美帝发善心\"，而是商业逻辑的回归。**\n\n美国卖芯片挣钱，中国用芯片做应用。这是典型的竞合关系——在关键技术上美国保持领先，在商业应用上中美共同做大蛋糕。\n\n---\n\n## 下一步看什么？\n\nH200是现在可以确定吃到嘴里的了。那么H100呢？B100呢？英伟达下一代Blackwell架构的芯片呢？\n\n这一轮放开的逻辑，可能只是打开了第一道闸门。\n\n一旦中美商业合作形成正循环——美国芯片公司有了确定收入、中国AI公司有了充足算力，两边都尝到了甜头——接下来高端芯片的开放门槛只会越来越低。\n\n**黄仁勋和特朗普的这趟中国行，签的不仅是H200这单。**\n\n对中国AI公司来说，核心战略只有一条：**拿芯片、出产品、跑数据、再迭代。** 算力这道坎迈过去之后，拼的就是应用能力和产品力了。\n\nAI竞赛的下半场，才刚开始。\n"}],"isError":false,"timestamp":1778815420685},{"role":"toolResult","toolCallId":"call_01_GieAnMgiKPBoUvfiurxE4004","toolName":"exec","content":[{"type":"text","text":"2026开发App要多少钱-2026-05-12-v1.md\nactual-publish-test-report.md\nAGENTS.md\nai-ecosystem-wechat-article.md\nai-era-ecosystem-script.md\nAI卢德主义者-2026-05-12-v1.md\nApp消失-2026-05-12-v1.md\nApp消失逐字稿-2026-05-12-v1.md\nbaoyu-config-example.md\ncheck_franchisee_status.sh\nconfig\nconfigure_deepseek_quick.sh\ndeploy_simple.sh\ndeploy_wecom_dual_plugin.sh\ndiagnose_franchisee.py\ndocs\necontract-50-topics.md\nexcel_extracted.json\nfirst-publish-test.md\nfranchisee_cron.py\nfranchisee_cron_task.sh\nfranchisee_real.py\nfranchisee_real_v2.py\nfranchisee_sync_complete.py\nfranchisee_sync.py\nfranchisee_sync_simple.py\nfranchisee_workaround.py\nHEARTBEAT.md\nIDENTITY.md\nimgs\nlogs\nmemory\nmonitor.sh\nnode_modules\nOpenClaw自媒体智能体-交付方案-20250511.md\npackage.json\npackage-lock.json\npost-to-wechat\npublish-log.md\n__pycache__\nquick-test.sh\nread_excel.py\nREADME_DEEPSEEK.md\nscripts\nscripts-master\nsearch_wecom_repos.py\nserve-files.js\nsimple_excel_reader.py\nsimple-test.md\nskills\nSOUL.md\nstate\ntest-article.md\ntest-baoyu-skill.sh\ntest-config.sh\ntest_deepseek.sh\ntest-external-access.sh\ntest_franchisee_integration.py\ntest_franchisee_management.py\ntest_franchisee.py\ntest-public.html\ntest-script.py\ntest_status_change.sh\ntest-token-only.js\ntest-wechat-config.sh\nTOOLS.md\nupgrade_openclaw_deepseek.sh\nUSER.md\nwechat-agent-template\nwechat-agent-template.tar.gz\nwechat-config-complete.md\nwechat-config-guide.md\nwecom_cli_alternative.md\nwecom-cli-main\nwecom-cli-mcp-config.json\nwecom-cli-mcp-server.js\nwecom-cli-skill-installation-report.md\nwecom_cli_tool.py\nwecom_enhanced_mcp_server.js\nwecom双插件架构方案.md\nwecom插件能力详细报告.md\nwecom插件能力速查表.md\n任务暂停报告.md\n企业微信落地陪跑实操套餐-公众号文章.md\n企业微信陪跑套餐-公众号文章.html\n企业微信陪跑套餐-文章草稿.md\n公众号文章-OpenClaw-DeepSeek-升级指南.md\n别短视-AI冲击-2026-05-12-v2.md\n别短视逐字稿-2026-05-12-v2.md\n加盟商状态自动同步方案.md\n加盟商管理功能测试报告.md\n双插件架构部署完成报告.md\n如何创建关联收集表.md\n宇树机甲GD01-2026-05-12-v1.md\n宇树机甲逐字稿-2026-05-12-v1.md\n情报大事-SOUL.md\n最终解决方案.md\n特朗普访华商界-2026-05-12-v1.md\n短视频脚本-OpenClaw-DeepSeek-分镜版.md\n短视频脚本-OpenClaw-DeepSeek-口播版.md\n短视频脚本-微信AI封禁事件.md\n腾讯收购喜马拉雅-2026-05-12-v1.md\n部署完成总结.md\n部署确认报告.md\n销售业绩统计表信息.md"}],"details":{"status":"completed","exitCode":0,"durationMs":50,"aggregated":"2026开发App要多少钱-2026-05-12-v1.md\nactual-publish-test-report.md\nAGENTS.md\nai-ecosystem-wechat-article.md\nai-era-ecosystem-script.md\nAI卢德主义者-2026-05-12-v1.md\nApp消失-2026-05-12-v1.md\nApp消失逐字稿-2026-05-12-v1.md\nbaoyu-config-example.md\ncheck_franchisee_status.sh\nconfig\nconfigure_deepseek_quick.sh\ndeploy_simple.sh\ndeploy_wecom_dual_plugin.sh\ndiagnose_franchisee.py\ndocs\necontract-50-topics.md\nexcel_extracted.json\nfirst-publish-test.md\nfranchisee_cron.py\nfranchisee_cron_task.sh\nfranchisee_real.py\nfranchisee_real_v2.py\nfranchisee_sync_complete.py\nfranchisee_sync.py\nfranchisee_sync_simple.py\nfranchisee_workaround.py\nHEARTBEAT.md\nIDENTITY.md\nimgs\nlogs\nmemory\nmonitor.sh\nnode_modules\nOpenClaw自媒体智能体-交付方案-20250511.md\npackage.json\npackage-lock.json\npost-to-wechat\npublish-log.md\n__pycache__\nquick-test.sh\nread_excel.py\nREADME_DEEPSEEK.md\nscripts\nscripts-master\nsearch_wecom_repos.py\nserve-files.js\nsimple_excel_reader.py\nsimple-test.md\nskills\nSOUL.md\nstate\ntest-article.md\ntest-baoyu-skill.sh\ntest-config.sh\ntest_deepseek.sh\ntest-external-access.sh\ntest_franchisee_integration.py\ntest_franchisee_management.py\ntest_franchisee.py\ntest-public.html\ntest-script.py\ntest_status_change.sh\ntest-token-only.js\ntest-wechat-config.sh\nTOOLS.md\nupgrade_openclaw_deepseek.sh\nUSER.md\nwechat-agent-template\nwechat-agent-template.tar.gz\nwechat-config-complete.md\nwechat-config-guide.md\nwecom_cli_alternative.md\nwecom-cli-main\nwecom-cli-mcp-config.json\nwecom-cli-mcp-server.js\nwecom-cli-skill-installation-report.md\nwecom_cli_tool.py\nwecom_enhanced_mcp_server.js\nwecom双插件架构方案.md\nwecom插件能力详细报告.md\nwecom插件能力速查表.md\n任务暂停报告.md\n企业微信落地陪跑实操套餐-公众号文章.md\n企业微信陪跑套餐-公众号文章.html\n企业微信陪跑套餐-文章草稿.md\n公众号文章-OpenClaw-DeepSeek-升级指南.md\n别短视-AI冲击-2026-05-12-v2.md\n别短视逐字稿-2026-05-12-v2.md\n加盟商状态自动同步方案.md\n加盟商管理功能测试报告.md\n双插件架构部署完成报告.md\n如何创建关联收集表.md\n宇树机甲GD01-2026-05-12-v1.md\n宇树机甲逐字稿-2026-05-12-v1.md\n情报大事-SOUL.md\n最终解决方案.md\n特朗普访华商界-2026-05-12-v1.md\n短视频脚本-OpenClaw-DeepSeek-分镜版.md\n短视频脚本-OpenClaw-DeepSeek-口播版.md\n短视频脚本-微信AI封禁事件.md\n腾讯收购喜马拉雅-2026-05-12-v1.md\n部署完成总结.md\n部署确认报告.md\n销售业绩统计表信息.md","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815420685},{"role":"assistant","content":[{"type":"text","text":"Good, I can see the article file. Now let me create the HTML file for the website and the publish script. Let me start by creating the HTML file."},{"type":"toolCall","id":"call_00_zwu3ABeba9MQBaB9jbUt0784","name":"exec","arguments":{"command":"cat ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md"}},{"type":"toolCall","id":"call_01_FqJNOQ2HNDIp2WXqQBRJ3946","name":"exec","arguments":{"command":"ls ~/.openclaw/agents/发布大师/workspace/ 2>/dev/null; cat ~/.openclaw/agents/发布大师/workspace/publish-musk-daibao.js 2>/dev/null || echo \"File not found\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2239,"output":199,"cacheRead":12032,"cacheWrite":0,"totalTokens":14470,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815420686,"responseId":"061abc68-3464-4587-b99a-93a46aea6149"},{"role":"toolResult","toolCallId":"call_00_zwu3ABeba9MQBaB9jbUt0784","toolName":"exec","content":[{"type":"text","text":"事情正在起变化。\n\n就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。\n\n**75万颗英伟达H200——这是目前全球性能最强、可用于大模型训练的完整版AI芯片——被批准出口到10家中国公司。**\n\n每个买家最多可拿75000颗。阿里巴巴、腾讯、字节跳动、京东等巨头均在列。\n\n这不是渐进式的松绑，这是闸门式的放开。\n\n---\n\n## 从H20到H200：质的飞跃\n\n此前，美国对中国出口高端AI芯片设限，中国企业只能买到\"阉割版\"的H20/B20芯片。性能被大幅削减，算力打了折扣。\n\nH200基于Hopper架构，是英伟达面向AI训练和推理的旗舰级芯片。与H20相比，它的计算性能高出数倍。简单说，H20能跑的东西，H200能跑得更快、更大、更复杂。\n\n**这不是iPhone 14到iPhone 15的差别，这是自行车到摩托车的差别。**\n\n此前中国AI公司面临的最大瓶颈是什么？算力不够。\n\n做大模型的人都知道，训练一个前沿大模型需要成千上万颗高端GPU连续运行数周甚至数月。H20能用，但效率差一大截。现在H200来了，这个瓶颈直接被打通。\n\n---\n\n## 75万颗H200到底意味着什么？\n\n算一笔简单的账。\n\nH200单颗市场价格约3-4万美元，取中间值3.5万美元：\n\n- 单家公司采购上限75000颗 ≈ **26.25亿美元**\n- 10家公司合计75万颗 ≈ **262.5亿美元**\n\n**这是225-300亿美元级别的采购盘子。**\n\n对英伟达而言，这意味着什么？英伟达目前市值约5.5万亿美元。这单规模对任何其他公司来说都是天文数字，但对英伟达来说，是\"塞牙缝\"级别的确定性收入——相当于季度营收的一次性加成，而且是板上钉钉的大客户长单。\n\n对采购方而言，75000颗H200意味着什么？\n\n当前全球最大规模的大模型训练集群，通常在几万到十几万颗GPU的量级。75000颗H200，足以支撑一家公司独立训练全球第一梯队的通用大模型。**10家公司各自拿到这个量级，意味着中国AI的算力基础设施将发生质变。**\n\n---\n\n## 时机的隐喻：商业谈判桌比政治谈判桌更管用\n\n特朗普刚走。黄仁勋随行。\n\n这不是巧合。\n\n此前几个月，字节跳动被曝出与英伟达洽谈200-400亿美元的算力合作。当时很多人觉得这只是传言，现在看来，那不过是冰山一角。\n\n**真实的叙事是：美国科技巨头们用商业逻辑，打通了政治堵点。**\n\n黄仁勋在特朗普访华代表团的名单上，这不是挂名。当英伟达的工程师和商务团队坐在谈判桌前，算的是未来三年中国AI市场的渗透率和订单规模。而华盛顿的政治逻辑，在万亿美元的商业利益面前，让步了。\n\n这个信号非常明确：**在中美科技博弈中，商业的力量正在重新被证明——它不是政治的附庸，它有自己的方向。**\n\n---\n\n## 谁受益？谁受伤？\n\n**腾讯的混元、字节的豆包、阿里的通义千问、京东的产业AI，还有另外6家公司——他们都是赢家。**\n\n过去两年，中国AI大模型公司的困境是\"有算法、有数据、没算力\"。很多团队不得不去海外租算力，或者用阉割版芯片凑合着跑。现在算力供应彻底打开，产品落地速度会明显加快。\n\n**但国产替代受到冲击了吗？**\n\n短期内会。华为昇腾正在全力追赶，但距离H200的性能差距是客观存在的。75万颗H200涌入，必然会在高端算力市场挤压国产芯片的份额。\n\n不过长期来看，这反而是好事。\n\n一是国产芯片的客户不会完全流失——地缘政治风险始终存在，今天能买，明天也可能被叫停，任何理性的公司都会保持国产芯片的备选份额。\n\n二是竞争是最好的催化剂。华为、寒武纪们必须在更激烈的环境中加速迭代，而不是在\"卡脖子\"的保护伞下慢慢发育。\n\n**美国芯片股会涨，中国AI股也会涨。这是双赢。**\n\n---\n\n## 中美AI：从脱钩到竞合\n\n回顾2022年以来的一系列禁令和限制，中美AI在\"脱钩\"的路上走了很远。\n\n但现在风向在变。\n\n美国不是要放弃AI芯片市场——全球最大的AI应用市场在中国，美国的芯片不做中国的生意，难道只靠军工订单养活整个产业链吗？算不过这个账。\n\n中国的逻辑也很清楚——能买的时候买最好的，同时自己也要能造。两条腿走路，不把鸡蛋放一个篮子里。\n\n**所以这一轮H200的放开，不是\"美帝发善心\"，而是商业逻辑的回归。**\n\n美国卖芯片挣钱，中国用芯片做应用。这是典型的竞合关系——在关键技术上美国保持领先，在商业应用上中美共同做大蛋糕。\n\n---\n\n## 下一步看什么？\n\nH200是现在可以确定吃到嘴里的了。那么H100呢？B100呢？英伟达下一代Blackwell架构的芯片呢？\n\n这一轮放开的逻辑，可能只是打开了第一道闸门。\n\n一旦中美商业合作形成正循环——美国芯片公司有了确定收入、中国AI公司有了充足算力，两边都尝到了甜头——接下来高端芯片的开放门槛只会越来越低。\n\n**黄仁勋和特朗普的这趟中国行，签的不仅是H200这单。**\n\n对中国AI公司来说，核心战略只有一条：**拿芯片、出产品、跑数据、再迭代。** 算力这道坎迈过去之后，拼的就是应用能力和产品力了。\n\nAI竞赛的下半场，才刚开始。"}],"details":{"status":"completed","exitCode":0,"durationMs":47,"aggregated":"事情正在起变化。\n\n就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。\n\n**75万颗英伟达H200——这是目前全球性能最强、可用于大模型训练的完整版AI芯片——被批准出口到10家中国公司。**\n\n每个买家最多可拿75000颗。阿里巴巴、腾讯、字节跳动、京东等巨头均在列。\n\n这不是渐进式的松绑，这是闸门式的放开。\n\n---\n\n## 从H20到H200：质的飞跃\n\n此前，美国对中国出口高端AI芯片设限，中国企业只能买到\"阉割版\"的H20/B20芯片。性能被大幅削减，算力打了折扣。\n\nH200基于Hopper架构，是英伟达面向AI训练和推理的旗舰级芯片。与H20相比，它的计算性能高出数倍。简单说，H20能跑的东西，H200能跑得更快、更大、更复杂。\n\n**这不是iPhone 14到iPhone 15的差别，这是自行车到摩托车的差别。**\n\n此前中国AI公司面临的最大瓶颈是什么？算力不够。\n\n做大模型的人都知道，训练一个前沿大模型需要成千上万颗高端GPU连续运行数周甚至数月。H20能用，但效率差一大截。现在H200来了，这个瓶颈直接被打通。\n\n---\n\n## 75万颗H200到底意味着什么？\n\n算一笔简单的账。\n\nH200单颗市场价格约3-4万美元，取中间值3.5万美元：\n\n- 单家公司采购上限75000颗 ≈ **26.25亿美元**\n- 10家公司合计75万颗 ≈ **262.5亿美元**\n\n**这是225-300亿美元级别的采购盘子。**\n\n对英伟达而言，这意味着什么？英伟达目前市值约5.5万亿美元。这单规模对任何其他公司来说都是天文数字，但对英伟达来说，是\"塞牙缝\"级别的确定性收入——相当于季度营收的一次性加成，而且是板上钉钉的大客户长单。\n\n对采购方而言，75000颗H200意味着什么？\n\n当前全球最大规模的大模型训练集群，通常在几万到十几万颗GPU的量级。75000颗H200，足以支撑一家公司独立训练全球第一梯队的通用大模型。**10家公司各自拿到这个量级，意味着中国AI的算力基础设施将发生质变。**\n\n---\n\n## 时机的隐喻：商业谈判桌比政治谈判桌更管用\n\n特朗普刚走。黄仁勋随行。\n\n这不是巧合。\n\n此前几个月，字节跳动被曝出与英伟达洽谈200-400亿美元的算力合作。当时很多人觉得这只是传言，现在看来，那不过是冰山一角。\n\n**真实的叙事是：美国科技巨头们用商业逻辑，打通了政治堵点。**\n\n黄仁勋在特朗普访华代表团的名单上，这不是挂名。当英伟达的工程师和商务团队坐在谈判桌前，算的是未来三年中国AI市场的渗透率和订单规模。而华盛顿的政治逻辑，在万亿美元的商业利益面前，让步了。\n\n这个信号非常明确：**在中美科技博弈中，商业的力量正在重新被证明——它不是政治的附庸，它有自己的方向。**\n\n---\n\n## 谁受益？谁受伤？\n\n**腾讯的混元、字节的豆包、阿里的通义千问、京东的产业AI，还有另外6家公司——他们都是赢家。**\n\n过去两年，中国AI大模型公司的困境是\"有算法、有数据、没算力\"。很多团队不得不去海外租算力，或者用阉割版芯片凑合着跑。现在算力供应彻底打开，产品落地速度会明显加快。\n\n**但国产替代受到冲击了吗？**\n\n短期内会。华为昇腾正在全力追赶，但距离H200的性能差距是客观存在的。75万颗H200涌入，必然会在高端算力市场挤压国产芯片的份额。\n\n不过长期来看，这反而是好事。\n\n一是国产芯片的客户不会完全流失——地缘政治风险始终存在，今天能买，明天也可能被叫停，任何理性的公司都会保持国产芯片的备选份额。\n\n二是竞争是最好的催化剂。华为、寒武纪们必须在更激烈的环境中加速迭代，而不是在\"卡脖子\"的保护伞下慢慢发育。\n\n**美国芯片股会涨，中国AI股也会涨。这是双赢。**\n\n---\n\n## 中美AI：从脱钩到竞合\n\n回顾2022年以来的一系列禁令和限制，中美AI在\"脱钩\"的路上走了很远。\n\n但现在风向在变。\n\n美国不是要放弃AI芯片市场——全球最大的AI应用市场在中国，美国的芯片不做中国的生意，难道只靠军工订单养活整个产业链吗？算不过这个账。\n\n中国的逻辑也很清楚——能买的时候买最好的，同时自己也要能造。两条腿走路，不把鸡蛋放一个篮子里。\n\n**所以这一轮H200的放开，不是\"美帝发善心\"，而是商业逻辑的回归。**\n\n美国卖芯片挣钱，中国用芯片做应用。这是典型的竞合关系——在关键技术上美国保持领先，在商业应用上中美共同做大蛋糕。\n\n---\n\n## 下一步看什么？\n\nH200是现在可以确定吃到嘴里的了。那么H100呢？B100呢？英伟达下一代Blackwell架构的芯片呢？\n\n这一轮放开的逻辑，可能只是打开了第一道闸门。\n\n一旦中美商业合作形成正循环——美国芯片公司有了确定收入、中国AI公司有了充足算力，两边都尝到了甜头——接下来高端芯片的开放门槛只会越来越低。\n\n**黄仁勋和特朗普的这趟中国行，签的不仅是H200这单。**\n\n对中国AI公司来说，核心战略只有一条：**拿芯片、出产品、跑数据、再迭代。** 算力这道坎迈过去之后，拼的就是应用能力和产品力了。\n\nAI竞赛的下半场，才刚开始。","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815423048},{"role":"toolResult","toolCallId":"call_01_FqJNOQ2HNDIp2WXqQBRJ3946","toolName":"exec","content":[{"type":"text","text":"2026中国Token服务商TOP50榜单分析-2026-04-23.html\n2026中国Token服务商TOP50榜单分析-2026-04-23-v1.md\napple-tencent-html.html\ncover-deepseek.jpg\ncover-huang.jpg\ncover-wechat-video.png\nDeepSeekV4Muon开源-2026-04-24.html\nDeepSeek-V4发布-2026-04-24.html\nDeepSeekV4国产硬件黄仁勋-2026-04-24.html\nDeepSeek-V4超算互联网-2026-04-24.html\nDeepSeekV4阿里云百炼-2026-04-24.html\nDeepSeek融资腾讯阿里-20260425.html\nget-last-post.js\nimgs\nMacOS视频号直播-2026-04-24.html\nManus外资收购被叫停-20260427.html\nnode_modules\nOpenAI手机处理器-20260427.html\nopenclaw-deepseek-html.html\nopenclaw-zblog-markdown-publisher\nOpenClaw适配DeepSeekV4-2026-04-26.html\npackage.json\npackage-lock.json\npublish-agent-policy.js\npublish-ai-100-entrepreneurs.js\npublish-ai-100-entrepreneurs-log.json\npublish-ai-100-scenarios.js\npublish-ai-100-scenarios-log.json\npublish-ai-100-v2.js\npublish-ai-100-v2-log.json\npublish-article.js\npublish-baibu-fanfu-log.json\npublish-baidu-fanfu.js\npublish-claude-hk2.js\npublish-claude-hk.js\npublish-deepseek-v4.js\npublish-deepseek-v4-log.json\npublish-DeepSeekV4Muon.js\npublish-DeepSeekV4Muon-log.json\npublish-DeepSeekV4百炼.js\npublish-DeepSeekV4百炼-log.json\npublish-DeepSeekV4超算.js\npublish-DeepSeekV4黄仁勋.js\npublish-fifa-cctv.js\npublish-grid-robot.js\npublish-grid-robot-log.json\npublish-han2.js\npublish-han2-raw.js\npublish-log.json\npublish-MacOS视频号直播.js\npublish-musk-daibao.js\npublish-openclaw-deepseekv4.js\npublish-openclaw-deepseekv4-log.json\npublish-time-ai-2026.js\npublish-time-ai-2026-v2.js\npublish-token-top50.js\npublish-token-top50-log.json\npublish-tuike-daiding.js\npublish-tuike-daiding-log.json\npublish-visual-china.js\npublish-wecom-5.0.8.js\npublish-wecom-5.0.8-log.json\npublish-wuzhao-log.json\npublish-xiaomi-mimo-100t.js\npublish-xiaomi-mimo-log.json\npublish-zongcai.js\npublish-企业增信手册.js\npublish-企业增信手册-log.json\npublish-办公三大CLI.js\npublish-办公三大CLI-log.json\npublish-黄仁勋激辩芯片出口.js\npublish-黄仁勋激辩芯片出口-log.json\nscripts\nSOUL.md\ntest-article.md\ntest-get-post.js\ntest-metaweblog.xml\ntest-publish.js\ntest-publish.md\ntest-xmlrpc.xml\ntest-zblog-connection.js\ntest-zblog.js\ntime-ai-2026-2026-04-28.html\nwechat-peipao-html.html\nwechat-tuike-daiding-2026-04-28.html\nxiaomi-mimo-100t-2026-04-28.html\n中国开源AI崛起-HuggingFace报告-20260427.html\n互联网大厂反腐-百度144人-2026-04-24.html\n人工智能100个应用场景深度解析-2026-04-23.html\n人工智能100个应用场景深度解析-2026-04-23-v1.md\n企业增信手册-2026-04-25.html\n企业增信手册-2026-04-25-v1.md\n企业微信5.0.8版本重磅发布-2026-04-23.html\n企业微信5.0.8版本重磅发布-2026-04-23-v1.md\n企业微信陪跑套餐-文章草稿.md\n公众号文章-OpenClaw-DeepSeek-升级指南.md\n具身智能-国家电网百亿采购-2026-04-24.html\n办公三大CLI-AI智能体春天-2026-04-24.html\n国务院AI+政策-2026-04-23.html\n国务院AI+政策-网站发布.md\n干货分享-人工智能100个高价值场景全解析-2026-04-23.html\n干货分享-人工智能100个高价值场景全解析-2026-04-23-v1.md\n干货分享-人工智能100个高价值场景全解析-2026-04-23-v2.html\n干货分享-人工智能100个高价值场景全解析-2026-04-23-v2.md\n日抛型软件时代来临-钉钉铁律引发的思考-2026-04-23-v1.html\n日抛型软件时代来临-钉钉铁律引发的思考-2026-04-23-v1.md\n深度文章-国务院AI+政策-2026-04-23-v1.md\n深度文章-国务院AI+政策-2026-04-23-v1-with-frontmatter.md\n超聚变IPO河南算力-20260425.html\n黄仁勋激辩芯片出口-20260425.html\nconst 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\n就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。
\n75万颗英伟达H200——这是目前全球性能最强、可用于大模型训练的完整版AI芯片——被批准出口到10家中国公司。
\n每个买家最多可拿75000颗。阿里巴巴、腾讯、字节跳动、京东等巨头均在列。
\n这不是渐进式的松绑，这是闸门式的放开。
\n
\n从H20到H200：质的飞跃
\n此前，美国对中国出口高端AI芯片设限，中国企业只能买到\"阉割版\"的H20/B20芯片。性能被大幅削减，算力打了折扣。
\nH200基于Hopper架构，是英伟达面向AI训练和推理的旗舰级芯片。与H20相比，它的计算性能高出数倍。简单说，H20能跑的东西，H200能跑得更快、更大、更复杂。
\n这不是iPhone 14到iPhone 15的差别，这是自行车到摩托车的差别。
\n此前中国AI公司面临的最大瓶颈是什么？算力不够。
\n做大模型的人都知道，训练一个前沿大模型需要成千上万颗高端GPU连续运行数周甚至数月。H20能用，但效率差一大截。现在H200来了，这个瓶颈直接被打通。
\n
\n75万颗H200到底意味着什么？
\n算一笔简单的账。
\nH200单颗市场价格约3-4万美元，取中间值3.5万美元：
\n\n- 单家公司采购上限75000颗 ≈ 26.25亿美元
\n- 10家公司合计75万颗 ≈ 262.5亿美元
\n
\n这是225-300亿美元级别的采购盘子。
\n对英伟达而言，这意味着什么？英伟达目前市值约5.5万亿美元。这单规模对任何其他公司来说都是天文数字，但对英伟达来说，是\"塞牙缝\"级别的确定性收入——相当于季度营收的一次性加成，而且是板上钉钉的大客户长单。
\n对采购方而言，75000颗H200意味着什么？
\n当前全球最大规模的大模型训练集群，通常在几万到十几万颗GPU的量级。75000颗H200，足以支撑一家公司独立训练全球第一梯队的通用大模型。10家公司各自拿到这个量级，意味着中国AI的算力基础设施将发生质变。
\n
\n时机的隐喻：商业谈判桌比政治谈判桌更管用
\n特朗普刚走。黄仁勋随行。
\n这不是巧合。
\n此前几个月，字节跳动被曝出与英伟达洽谈200-400亿美元的算力合作。当时很多人觉得这只是传言，现在看来，那不过是冰山一角。
\n真实的叙事是：美国科技巨头们用商业逻辑，打通了政治堵点。
\n黄仁勋在特朗普访华代表团的名单上，这不是挂名。当英伟达的工程师和商务团队坐在谈判桌前，算的是未来三年中国AI市场的渗透率和订单规模。而华盛顿的政治逻辑，在万亿美元的商业利益面前，让步了。
\n这个信号非常明确：在中美科技博弈中，商业的力量正在重新被证明——它不是政治的附庸，它有自己的方向。
\n
\n谁受益？谁受伤？
\n腾讯的混元、字节的豆包、阿里的通义千问、京东的产业AI，还有另外6家公司——他们都是赢家。
\n过去两年，中国AI大模型公司的困境是\"有算法、有数据、没算力\"。很多团队不得不去海外租算力，或者用阉割版芯片凑合着跑。现在算力供应彻底打开，产品落地速度会明显加快。
\n但国产替代受到冲击了吗？
\n短期内会。华为昇腾正在全力追赶，但距离H200的性能差距是客观存在的。75万颗H200涌入，必然会在高端算力市场挤压国产芯片的份额。
\n不过长期来看，这反而是好事。
\n一是国产芯片的客户不会完全流失——地缘政治风险始终存在，今天能买，明天也可能被叫停，任何理性的公司都会保持国产芯片的备选份额。
\n二是竞争是最好的催化剂。华为、寒武纪们必须在更激烈的环境中加速迭代，而不是在\"卡脖子\"的保护伞下慢慢发育。
\n美国芯片股会涨，中国AI股也会涨。这是双赢。
\n
\n中美AI：从脱钩到竞合
\n回顾2022年以来的一系列禁令和限制，中美AI在\"脱钩\"的路上走了很远。
\n但现在风向在变。
\n美国不是要放弃AI芯片市场——全球最大的AI应用市场在中国，美国的芯片不做中国的生意，难道只靠军工订单养活整个产业链吗？算不过这个账。
\n中国的逻辑也很清楚——能买的时候买最好的，同时自己也要能造。两条腿走路，不把鸡蛋放一个篮子里。
\n所以这一轮H200的放开，不是\"美帝发善心\"，而是商业逻辑的回归。
\n美国卖芯片挣钱，中国用芯片做应用。这是典型的竞合关系——在关键技术上美国保持领先，在商业应用上中美共同做大蛋糕。
\n
\n下一步看什么？
\nH200是现在可以确定吃到嘴里的了。那么H100呢？B100呢？英伟达下一代Blackwell架构的芯片呢？
\n这一轮放开的逻辑，可能只是打开了第一道闸门。
\n一旦中美商业合作形成正循环——美国芯片公司有了确定收入、中国AI公司有了充足算力，两边都尝到了甜头——接下来高端芯片的开放门槛只会越来越低。
\n黄仁勋和特朗普的这趟中国行，签的不仅是H200这单。
\n对中国AI公司来说，核心战略只有一条：拿芯片、出产品、跑数据、再迭代。 算力这道坎迈过去之后，拼的就是应用能力和产品力了。
\nAI竞赛的下半场，才刚开始。
\n\n\n"}},{"type":"toolCall","id":"call_01_8XuHA5d1wwYcultU7PyY6967","name":"write","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-h200.js","content":"const xmlrpc = require('xmlrpc');\nconst fs = require('fs');\n\n// Read the HTML content\nconst content = fs.readFileSync('/tmp/h200-article.html', 'utf-8');\nconsole.log('HTML content length:', content.length, 'chars');\n\nconst client = xmlrpc.createClient({\n host: 'weixinsiwei.com',\n path: '/zb_system/xml-rpc/index.php',\n port: 443,\n secure: true,\n});\n\nconst blogId = '68ba1ff10060dd54f1e399b8e332bdba';\nconst username = 'admin';\nconst password = '135269zxj';\n\nconst post = {\n title: '特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片',\n description: content,\n mt_keywords: '英伟达,H200,AI芯片,美国出口,中国公司,特朗普,黄仁勋',\n categories: ['1'],\n};\n\nconsole.log('Publishing post...');\nclient.methodCall('metaWeblog.newPost', [blogId, username, password, post, true], (err, value) => {\n if (err) {\n console.error('Error publishing post:', err.message);\n console.error('Error code:', err.code);\n if (err.body) console.error('Response body:', err.body.toString().substring(0, 500));\n process.exit(1);\n }\n console.log('Post published successfully! Post ID:', value);\n\n // Verify with getRecentPosts\n client.methodCall('metaWeblog.getRecentPosts', [blogId, username, password, 5], (err2, posts) => {\n if (err2) {\n console.error('Error getting recent posts:', err2.message);\n process.exit(1);\n }\n console.log('\\n=== Recent Posts Verification ===');\n (posts || []).forEach(p => {\n console.log(`- ID: ${p.postid || p.postId}, Title: ${p.title}, Date: ${p.dateCreated || ''}`);\n });\n console.log('=== Verification Complete ===');\n });\n});\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2965,"output":2151,"cacheRead":14464,"cacheWrite":0,"totalTokens":19580,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815423050,"responseId":"a9f142db-7753-4b98-9120-16bfbd0801ec"},{"role":"toolResult","toolCallId":"call_00_MKBNhUGPcKCJ0UgwjN8q4924","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2793 bytes to /tmp/h200-article.html"}],"isError":false,"timestamp":1778815437694},{"role":"toolResult","toolCallId":"call_01_8XuHA5d1wwYcultU7PyY6967","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1562 bytes to /root/.openclaw/agents/发布大师/workspace/publish-h200.js"}],"isError":false,"timestamp":1778815437694},{"role":"assistant","content":[{"type":"text","text":"Files created. Now let me run the WeChat publish and the Z-Blog publish in parallel. Let me first check that the wechat-api script exists."},{"type":"toolCall","id":"call_00_M5CNdzgDBI75yT280JgU5948","name":"exec","arguments":{"command":"ls -la ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>/dev/null || echo \"NOT FOUND\""}},{"type":"toolCall","id":"call_01_JGTgtFgz3JToDGdboK8k0078","name":"exec","arguments":{"command":"ls ~/.openclaw/agents/发布大师/workspace/node_modules/xmlrpc/lib/xmlrpc.js 2>/dev/null && echo \"xmlrpc available\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":186,"output":184,"cacheRead":19456,"cacheWrite":0,"totalTokens":19826,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815437695,"responseId":"b6c29703-72ba-43c5-9879-68b8931a079e"},{"role":"toolResult","toolCallId":"call_00_M5CNdzgDBI75yT280JgU5948","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"}],"details":{"status":"completed","exitCode":0,"durationMs":51,"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","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815440180},{"role":"toolResult","toolCallId":"call_01_JGTgtFgz3JToDGdboK8k0078","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/发布大师/workspace/node_modules/xmlrpc/lib/xmlrpc.js\nxmlrpc available"}],"details":{"status":"completed","exitCode":0,"durationMs":113,"aggregated":"/root/.openclaw/agents/发布大师/workspace/node_modules/xmlrpc/lib/xmlrpc.js\nxmlrpc available","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815440180},{"role":"assistant","content":[{"type":"text","text":"Both scripts and dependencies are available. Let me start both publishing tasks."},{"type":"toolCall","id":"call_00_MUZusshLygjr4MZdaneA7758","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/101/workspace && WECHAT_APP_ID= WECHAT_APP_SECRET= bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md --theme default --color blue --author \"ai张三疯\" --title \"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\"","timeout":60,"yieldMs":30000}},{"type":"toolCall","id":"call_01_Kbo6YnfQG4YtvJxDmMPU9392","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && node publish-h200.js","timeout":30,"yieldMs":15000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":214,"output":320,"cacheRead":19712,"cacheWrite":0,"totalTokens":20246,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815440181,"responseId":"9f1fbb68-e60a-441d-986c-485fea1b4aa8"},{"role":"toolResult","toolCallId":"call_00_MUZusshLygjr4MZdaneA7758","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-tX7X7E/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。...\n[wechat-api] Type: news\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":2952,"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-tX7X7E/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。...\n[wechat-api] Type: news\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":1778815446061},{"role":"toolResult","toolCallId":"call_01_Kbo6YnfQG4YtvJxDmMPU9392","toolName":"exec","content":[{"type":"text","text":"HTML content length: 2793 chars\nPublishing post...\nError publishing post: Invalid XML-RPC message\nError code: undefined\nResponse body: Bad Request\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":629,"aggregated":"HTML content length: 2793 chars\nPublishing post...\nError publishing post: Invalid XML-RPC message\nError code: undefined\nResponse body: Bad Request\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815446061},{"role":"assistant","content":[{"type":"text","text":"Two issues need to be addressed. Let me fix them:\n\n1. **WeChat**: Needs a cover image (--cover or use fallback). The task says \"无封面图，让脚本生成蓝色主题封面\" - so I need to check if there's a way to generate one or provide a placeholder.\n2. **Z-Blog**: The XML-RPC call is getting \"Bad Request\" - could be the content encoding or content type. Let me check the reference publish script more carefully.\n\nLet me investigate both issues."},{"type":"toolCall","id":"call_00_9oTKx5RoyNRRnWCLc1dL3032","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/101/workspace && bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts --help 2>&1 | head -50","timeout":10}},{"type":"toolCall","id":"call_01_4fbUk1efrHyrqgvMwrRd9259","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && cat test-zblog.js 2>/dev/null; echo \"---\"; cat test-zblog-connection.js 2>/dev/null","timeout":10}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":317,"output":293,"cacheRead":20224,"cacheWrite":0,"totalTokens":20834,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815446062,"responseId":"e97f22c8-309e-4af7-92dd-29687c1ebbb5"},{"role":"toolResult","toolCallId":"call_00_9oTKx5RoyNRRnWCLc1dL3032","toolName":"exec","content":[{"type":"text","text":"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"}],"details":{"status":"completed","exitCode":0,"durationMs":110,"aggregated":"Publish article to WeChat Official Account draft using API\n\nUsage:\n npx -y bun wechat-api.ts <file> [options]\n\nArguments:\n file Markdown (.md) or HTML (.html) file\n\nOptions:\n --type <type> Article type: news (文章, default) or newspic (图文)\n --title <title> Override title\n --author <name> Author name (max 16 chars)\n --summary <text> Article summary/digest (max 128 chars)\n --theme <name> Theme name for markdown (default, grace, simple, modern). Default: default\n --color <name|hex> Primary color (blue, green, vermilion, etc. or hex)\n --cover <path> Cover image path (local or URL)\n --account <alias> Select account by alias (for multi-account setups)\n --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","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815449353},{"role":"toolResult","toolCallId":"call_01_4fbUk1efrHyrqgvMwrRd9259","toolName":"exec","content":[{"type":"text","text":"const xmlrpc = require('xmlrpc');\n\nconst ENDPOINT = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst USERNAME = 'admin';\nconst PASSWORD = '135269zxj';\nconst BLOG_ID = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst client = xmlrpc.createClient({ url: ENDPOINT });\n\n// Test: get recent posts to see the response format\nclient.methodCall('metaWeblog.getRecentPosts', [BLOG_ID, USERNAME, PASSWORD, 3], (err, posts) => {\n if (err) {\n console.error('Error:', err.message);\n // Try another approach - check available methods\n client.methodCall('system.listMethods', [], (err2, methods) => {\n if (err2) {\n console.error('Cannot list methods:', err2.message);\n } else {\n console.log('Available methods:', methods);\n }\n });\n return;\n }\n console.log('Recent posts:', JSON.stringify(posts, null, 2));\n});\n---\n#!/usr/bin/env node\n\nimport { XMLRPClient } from 'xmlrpc';\n\nconst endpoint = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst username = 'admin';\nconst password = '135269zxj';\n\nconsole.log('测试 Z-Blog XML-RPC 连接...');\nconsole.log('端点:', endpoint);\nconsole.log('用户名:', username);\n\n// 创建 XML-RPC 客户端\nconst client = XMLRPClient.createSecureClient({\n host: 'weixinsiwei.com',\n port: 443,\n path: '/zb_system/xml-rpc/index.php'\n});\n\n// 测试 getUsersBlogs 方法\nconst methodCall = {\n methodName: 'blogger.getUsersBlogs',\n params: [\n '', // appkey (通常为空)\n username,\n password\n ]\n};\n\nconsole.log('\\n发送请求...');\nclient.methodCall(methodCall.methodName, methodCall.params, (error, value) => {\n if (error) {\n console.error('连接失败:', error);\n console.error('错误详情:', error.message || error);\n } else {\n console.log('连接成功!');\n console.log('博客信息:', JSON.stringify(value, null, 2));\n }\n});"}],"details":{"status":"completed","exitCode":0,"durationMs":139,"aggregated":"const xmlrpc = require('xmlrpc');\n\nconst ENDPOINT = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst USERNAME = 'admin';\nconst PASSWORD = '135269zxj';\nconst BLOG_ID = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst client = xmlrpc.createClient({ url: ENDPOINT });\n\n// Test: get recent posts to see the response format\nclient.methodCall('metaWeblog.getRecentPosts', [BLOG_ID, USERNAME, PASSWORD, 3], (err, posts) => {\n if (err) {\n console.error('Error:', err.message);\n // Try another approach - check available methods\n client.methodCall('system.listMethods', [], (err2, methods) => {\n if (err2) {\n console.error('Cannot list methods:', err2.message);\n } else {\n console.log('Available methods:', methods);\n }\n });\n return;\n }\n console.log('Recent posts:', JSON.stringify(posts, null, 2));\n});\n---\n#!/usr/bin/env node\n\nimport { XMLRPClient } from 'xmlrpc';\n\nconst endpoint = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst username = 'admin';\nconst password = '135269zxj';\n\nconsole.log('测试 Z-Blog XML-RPC 连接...');\nconsole.log('端点:', endpoint);\nconsole.log('用户名:', username);\n\n// 创建 XML-RPC 客户端\nconst client = XMLRPClient.createSecureClient({\n host: 'weixinsiwei.com',\n port: 443,\n path: '/zb_system/xml-rpc/index.php'\n});\n\n// 测试 getUsersBlogs 方法\nconst methodCall = {\n methodName: 'blogger.getUsersBlogs',\n params: [\n '', // appkey (通常为空)\n username,\n password\n ]\n};\n\nconsole.log('\\n发送请求...');\nclient.methodCall(methodCall.methodName, methodCall.params, (error, value) => {\n if (error) {\n console.error('连接失败:', error);\n console.error('错误详情:', error.message || error);\n } else {\n console.log('连接成功!');\n console.log('博客信息:', JSON.stringify(value, null, 2));\n }\n});","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815449353},{"role":"assistant","content":[{"type":"text","text":"Let me look at a successful publish script to understand the XML-RPC format better:"},{"type":"toolCall","id":"call_00_DlIdN88kUWrwrKOu2IQs0233","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && cat publish-ai-100-entrepreneurs.js","timeout":10}},{"type":"toolCall","id":"call_01_P73yny7PsKwG0NlmdiTm0017","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && cat publish-grid-robot.js","timeout":10}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1124,"output":166,"cacheRead":20736,"cacheWrite":0,"totalTokens":22026,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815449355,"responseId":"2e89ee5e-cb1f-4607-957b-9bdce8ca9f9d"},{"role":"toolResult","toolCallId":"call_00_DlIdN88kUWrwrKOu2IQs0233","toolName":"exec","content":[{"type":"text","text":"const xmlrpc = require('./openclaw-zblog-markdown-publisher/node_modules/xmlrpc');\nconst fs = require('fs');\n\nconst WEBSITE_CONFIG = {\n endpoint: 'https://weixinsiwei.com/zb_system/xml-rpc/index.php',\n username: 'admin',\n password: '135269zxj',\n blogId: '68ba1ff10060dd54f1e399b8e332bdba'\n};\n\nconsole.log('🚀 开始发布《干货分享-人工智能100个高价值场景全解析》到网站...');\n\n// 读取HTML内容\nconst htmlContent = fs.readFileSync('干货分享-人工智能100个高价值场景全解析-2026-04-23.html', 'utf-8');\n\n// 提取和清理内容\nconst bodyMatch = htmlContent.match(/<body[^>]*>([\\s\\S]*)<\\/body>/i);\nlet content = bodyMatch ? bodyMatch[1] : htmlContent;\ncontent = content.replace(/<div id=\"output\">|<\\/div>/g, '');\ncontent = content.replace(/<section class=\"container\"[^>]*>|<\\/section>/g, '');\n\nconsole.log('📝 文章标题: 干货收藏！人工智能100个高价值应用场景全解析，创业者必看');\nconsole.log('👤 作者: ai张三疯');\nconsole.log('📊 内容长度:', content.length, '字符');\nconsole.log('🏷️ 分类: 默认分类, AI人工智能, 创业干货, 行业洞察');\nconsole.log('🔖 标签: 人工智能应用场景, AI创业, 高价值场景, 干货分享, 数字化转型');\n\nconst client = xmlrpc.createSecureClient(WEBSITE_CONFIG.endpoint);\n\nclient.methodCall('metaWeblog.newPost', [\n WEBSITE_CONFIG.blogId,\n WEBSITE_CONFIG.username,\n WEBSITE_CONFIG.password,\n {\n title: '干货收藏！人工智能100个高价值应用场景全解析，创业者必看',\n description: content,\n categories: ['默认分类', 'AI人工智能', '创业干货', '行业洞察'],\n mt_keywords: '人工智能应用场景,AI创业,高价值场景,干货分享,数字化转型,AI落地,100个场景'\n },\n true // 立即发布\n], (error, postId) => {\n if (error) {\n console.error('❌ 发布失败:', error.message || error);\n } else {\n console.log('✅ 网站发布成功!');\n console.log('📌 文章ID:', postId);\n console.log('🌐 文章链接: https://weixinsiwei.com/?post=' + postId);\n \n // 记录发布日志\n const logEntry = {\n timestamp: new Date().toISOString(),\n title: '干货收藏！人工智能100个高价值应用场景全解析，创业者必看',\n postId: postId,\n platform: 'Z-Blog网站',\n status: 'success',\n categories: ['默认分类', 'AI人工智能', '创业干货', '行业洞察'],\n tags: ['人工智能应用场景', 'AI创业', '高价值场景', '干货分享', '数字化转型']\n };\n \n fs.writeFileSync('publish-ai-100-entrepreneurs-log.json', JSON.stringify(logEntry, null, 2));\n console.log('📋 发布日志已保存到 publish-ai-100-entrepreneurs-log.json');\n }\n});"}],"details":{"status":"completed","exitCode":0,"durationMs":49,"aggregated":"const xmlrpc = require('./openclaw-zblog-markdown-publisher/node_modules/xmlrpc');\nconst fs = require('fs');\n\nconst WEBSITE_CONFIG = {\n endpoint: 'https://weixinsiwei.com/zb_system/xml-rpc/index.php',\n username: 'admin',\n password: '135269zxj',\n blogId: '68ba1ff10060dd54f1e399b8e332bdba'\n};\n\nconsole.log('🚀 开始发布《干货分享-人工智能100个高价值场景全解析》到网站...');\n\n// 读取HTML内容\nconst htmlContent = fs.readFileSync('干货分享-人工智能100个高价值场景全解析-2026-04-23.html', 'utf-8');\n\n// 提取和清理内容\nconst bodyMatch = htmlContent.match(/<body[^>]*>([\\s\\S]*)<\\/body>/i);\nlet content = bodyMatch ? bodyMatch[1] : htmlContent;\ncontent = content.replace(/<div id=\"output\">|<\\/div>/g, '');\ncontent = content.replace(/<section class=\"container\"[^>]*>|<\\/section>/g, '');\n\nconsole.log('📝 文章标题: 干货收藏！人工智能100个高价值应用场景全解析，创业者必看');\nconsole.log('👤 作者: ai张三疯');\nconsole.log('📊 内容长度:', content.length, '字符');\nconsole.log('🏷️ 分类: 默认分类, AI人工智能, 创业干货, 行业洞察');\nconsole.log('🔖 标签: 人工智能应用场景, AI创业, 高价值场景, 干货分享, 数字化转型');\n\nconst client = xmlrpc.createSecureClient(WEBSITE_CONFIG.endpoint);\n\nclient.methodCall('metaWeblog.newPost', [\n WEBSITE_CONFIG.blogId,\n WEBSITE_CONFIG.username,\n WEBSITE_CONFIG.password,\n {\n title: '干货收藏！人工智能100个高价值应用场景全解析，创业者必看',\n description: content,\n categories: ['默认分类', 'AI人工智能', '创业干货', '行业洞察'],\n mt_keywords: '人工智能应用场景,AI创业,高价值场景,干货分享,数字化转型,AI落地,100个场景'\n },\n true // 立即发布\n], (error, postId) => {\n if (error) {\n console.error('❌ 发布失败:', error.message || error);\n } else {\n console.log('✅ 网站发布成功!');\n console.log('📌 文章ID:', postId);\n console.log('🌐 文章链接: https://weixinsiwei.com/?post=' + postId);\n \n // 记录发布日志\n const logEntry = {\n timestamp: new Date().toISOString(),\n title: '干货收藏！人工智能100个高价值应用场景全解析，创业者必看',\n postId: postId,\n platform: 'Z-Blog网站',\n status: 'success',\n categories: ['默认分类', 'AI人工智能', '创业干货', '行业洞察'],\n tags: ['人工智能应用场景', 'AI创业', '高价值场景', '干货分享', '数字化转型']\n };\n \n fs.writeFileSync('publish-ai-100-entrepreneurs-log.json', JSON.stringify(logEntry, null, 2));\n console.log('📋 发布日志已保存到 publish-ai-100-entrepreneurs-log.json');\n }\n});","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815451587},{"role":"toolResult","toolCallId":"call_01_P73yny7PsKwG0NlmdiTm0017","toolName":"exec","content":[{"type":"text","text":"const xmlrpc = require('./openclaw-zblog-markdown-publisher/node_modules/xmlrpc');\nconst fs = require('fs');\n\nconst WEBSITE_CONFIG = {\n endpoint: 'https://weixinsiwei.com/zb_system/xml-rpc/index.php',\n username: 'admin',\n password: '135269zxj',\n blogId: '68ba1ff10060dd54f1e399b8e332bdba'\n};\n\nconsole.log('🚀 开始发布《国家电网豪掷100亿采购机器人》到网站...');\n\n// 读取HTML内容\nconst htmlContent = fs.readFileSync('具身智能-国家电网百亿采购-2026-04-24.html', 'utf-8');\n\n// 提取和清理内容\nconst bodyMatch = htmlContent.match(/<body[^>]*>([\\s\\S]*)<\\/body>/i);\nlet content = bodyMatch ? bodyMatch[1] : htmlContent;\ncontent = content.replace(/<div id=\"output\">|<\\/div>/g, '');\ncontent = content.replace(/<section class=\"container\"[^>]*>|<\\/section>/g, '');\n\nconsole.log('📝 文章标题: 国家电网豪掷100亿采购机器人：AI大规模商业落地的号角已经吹响');\nconsole.log('👤 作者: ai张三疯');\nconsole.log('📊 内容长度:', content.length, '字符');\nconsole.log('🏷️ 分类: 默认分类, AI人工智能, 机器人与自动化, 行业分析');\nconsole.log('🔖 标签: 具身智能, 国家电网, 机器人采购, AI商业落地, 四足机器狗, 人形机器人');\n\nconst client = xmlrpc.createSecureClient(WEBSITE_CONFIG.endpoint);\n\nclient.methodCall('metaWeblog.newPost', [\n WEBSITE_CONFIG.blogId,\n WEBSITE_CONFIG.username,\n WEBSITE_CONFIG.password,\n {\n title: '国家电网豪掷100亿采购机器人：AI大规模商业落地的号角已经吹响',\n description: content,\n categories: ['默认分类', 'AI人工智能', '机器人与自动化', '行业分析'],\n mt_keywords: '具身智能,国家电网,机器人采购,AI商业落地,四足机器狗,人形机器人,AI产业化,电力巡检'\n },\n true // 立即发布\n], (error, postId) => {\n if (error) {\n console.error('❌ 网站发布失败:', error.message || error);\n } else {\n console.log('✅ 网站发布成功!');\n console.log('📌 文章ID:', postId);\n console.log('🌐 文章链接: https://weixinsiwei.com/?post=' + postId);\n \n // 记录发布日志\n const logEntry = {\n timestamp: new Date().toISOString(),\n title: '国家电网豪掷100亿采购机器人：AI大规模商业落地的号角已经吹响',\n postId: postId,\n platform: 'Z-Blog网站',\n status: 'success',\n categories: ['默认分类', 'AI人工智能', '机器人与自动化', '行业分析'],\n tags: ['具身智能', '国家电网', '机器人采购', 'AI商业落地']\n };\n \n fs.writeFileSync('publish-grid-robot-log.json', JSON.stringify(logEntry, null, 2));\n console.log('📋 发布日志已保存到 publish-grid-robot-log.json');\n }\n});"}],"details":{"status":"completed","exitCode":0,"durationMs":103,"aggregated":"const xmlrpc = require('./openclaw-zblog-markdown-publisher/node_modules/xmlrpc');\nconst fs = require('fs');\n\nconst WEBSITE_CONFIG = {\n endpoint: 'https://weixinsiwei.com/zb_system/xml-rpc/index.php',\n username: 'admin',\n password: '135269zxj',\n blogId: '68ba1ff10060dd54f1e399b8e332bdba'\n};\n\nconsole.log('🚀 开始发布《国家电网豪掷100亿采购机器人》到网站...');\n\n// 读取HTML内容\nconst htmlContent = fs.readFileSync('具身智能-国家电网百亿采购-2026-04-24.html', 'utf-8');\n\n// 提取和清理内容\nconst bodyMatch = htmlContent.match(/<body[^>]*>([\\s\\S]*)<\\/body>/i);\nlet content = bodyMatch ? bodyMatch[1] : htmlContent;\ncontent = content.replace(/<div id=\"output\">|<\\/div>/g, '');\ncontent = content.replace(/<section class=\"container\"[^>]*>|<\\/section>/g, '');\n\nconsole.log('📝 文章标题: 国家电网豪掷100亿采购机器人：AI大规模商业落地的号角已经吹响');\nconsole.log('👤 作者: ai张三疯');\nconsole.log('📊 内容长度:', content.length, '字符');\nconsole.log('🏷️ 分类: 默认分类, AI人工智能, 机器人与自动化, 行业分析');\nconsole.log('🔖 标签: 具身智能, 国家电网, 机器人采购, AI商业落地, 四足机器狗, 人形机器人');\n\nconst client = xmlrpc.createSecureClient(WEBSITE_CONFIG.endpoint);\n\nclient.methodCall('metaWeblog.newPost', [\n WEBSITE_CONFIG.blogId,\n WEBSITE_CONFIG.username,\n WEBSITE_CONFIG.password,\n {\n title: '国家电网豪掷100亿采购机器人：AI大规模商业落地的号角已经吹响',\n description: content,\n categories: ['默认分类', 'AI人工智能', '机器人与自动化', '行业分析'],\n mt_keywords: '具身智能,国家电网,机器人采购,AI商业落地,四足机器狗,人形机器人,AI产业化,电力巡检'\n },\n true // 立即发布\n], (error, postId) => {\n if (error) {\n console.error('❌ 网站发布失败:', error.message || error);\n } else {\n console.log('✅ 网站发布成功!');\n console.log('📌 文章ID:', postId);\n console.log('🌐 文章链接: https://weixinsiwei.com/?post=' + postId);\n \n // 记录发布日志\n const logEntry = {\n timestamp: new Date().toISOString(),\n title: '国家电网豪掷100亿采购机器人：AI大规模商业落地的号角已经吹响',\n postId: postId,\n platform: 'Z-Blog网站',\n status: 'success',\n categories: ['默认分类', 'AI人工智能', '机器人与自动化', '行业分析'],\n tags: ['具身智能', '国家电网', '机器人采购', 'AI商业落地']\n };\n \n fs.writeFileSync('publish-grid-robot-log.json', JSON.stringify(logEntry, null, 2));\n console.log('📋 发布日志已保存到 publish-grid-robot-log.json');\n }\n});","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815451587},{"role":"assistant","content":[{"type":"text","text":"I see - the successful scripts use `createSecureClient(endpoint)` format instead of the `createClient({host, path, port, secure})` format. Let me also check the xmlrpc module to see what's compatible:"},{"type":"toolCall","id":"call_00_MtiQoFkTiIEdPr7xcg858365","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && ls openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/","timeout":5}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1533,"output":138,"cacheRead":22016,"cacheWrite":0,"totalTokens":23687,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815451589,"responseId":"50b936c6-712e-4614-b519-112a1a306f52"},{"role":"toolResult","toolCallId":"call_00_MtiQoFkTiIEdPr7xcg858365","toolName":"exec","content":[{"type":"text","text":"client.js\ncookies.js\ncustomtype.js\ndate_formatter.js\ndeserializer.js\nserializer.js\nserver.js\nxmlrpc.js"}],"details":{"status":"completed","exitCode":0,"durationMs":52,"aggregated":"client.js\ncookies.js\ncustomtype.js\ndate_formatter.js\ndeserializer.js\nserializer.js\nserver.js\nxmlrpc.js","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815453670},{"role":"assistant","content":[{"type":"text","text":"Let me check the XML-RPC client to understand createSecureClient:"},{"type":"toolCall","id":"call_00_BqQ650ZQIEWdxAuJ73oJ5421","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && grep -n \"createSecureClient\\|createClient\\|exports\" openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/xmlrpc.js | head -20","timeout":5}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":51,"output":124,"cacheRead":23680,"cacheWrite":0,"totalTokens":23855,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815453671,"responseId":"1982c921-0dcd-40d9-adb6-5b359ccb7af0"},{"role":"toolResult","toolCallId":"call_00_BqQ650ZQIEWdxAuJ73oJ5421","toolName":"exec","content":[{"type":"text","text":"6:var xmlrpc = exports\n19:xmlrpc.createClient = function(options) {\n34:xmlrpc.createSecureClient = function(options) {"}],"details":{"status":"completed","exitCode":0,"durationMs":44,"aggregated":"6:var xmlrpc = exports\n19:xmlrpc.createClient = function(options) {\n34:xmlrpc.createSecureClient = function(options) {","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815455454},{"role":"assistant","content":[{"type":"text","text":"The xmlrpc lib accepts createSecureClient with a URL string or options object. Let me update the publish script to use the same pattern as the known-working scripts:"},{"type":"toolCall","id":"call_00_mRcUoNKeVVQSc6A4tkZf2577","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && head -5 openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js | grep -i \"url\\|strict\\|options\"","timeout":5}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":93,"output":138,"cacheRead":23808,"cacheWrite":0,"totalTokens":24039,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815455456,"responseId":"f117d5ce-0771-49d0-bb87-09fb8bbaebee"},{"role":"toolResult","toolCallId":"call_00_mRcUoNKeVVQSc6A4tkZf2577","toolName":"exec","content":[{"type":"text","text":", url = require('url')"}],"details":{"status":"completed","exitCode":0,"durationMs":53,"aggregated":", url = require('url')","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815457483},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_TNQeyZBlGAiVRgApuxjX5092","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && grep -A 20 \"createSecureClient\\|createClient\" openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/xmlrpc.js","timeout":5}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":122,"output":107,"cacheRead":23936,"cacheWrite":0,"totalTokens":24165,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815457484,"responseId":"8cb1e5dc-76cf-48eb-b81c-96cb8ae084a2"},{"role":"toolResult","toolCallId":"call_00_TNQeyZBlGAiVRgApuxjX5092","toolName":"exec","content":[{"type":"text","text":"xmlrpc.createClient = function(options) {\n return new Client(options, false)\n}\n\n/**\n * Creates an XML-RPC client that makes calls using HTTPS.\n *\n * @param {Object} options - server options to make the HTTP request to\n * - {String} host\n * - {Number} port\n * - {String} url\n * - {Boolean} cookies\n * @return {Client}\n * @see Client\n */\nxmlrpc.createSecureClient = function(options) {\n return new Client(options, true)\n}\n\n/**\n * Creates an XML-RPC server.\n *\n * @param {Object}options - the HTTP server options\n * - {String} host\n * - {Number} port\n * @return {Server}\n * @see Server\n */\nxmlrpc.createServer = function(options, callback) {\n return new Server(options, false, callback)\n}\n\n/**\n * Creates an XML-RPC server that uses HTTPS.\n *\n * @param {Object}options - the HTTP server options"}],"details":{"status":"completed","exitCode":0,"durationMs":44,"aggregated":"xmlrpc.createClient = function(options) {\n return new Client(options, false)\n}\n\n/**\n * Creates an XML-RPC client that makes calls using HTTPS.\n *\n * @param {Object} options - server options to make the HTTP request to\n * - {String} host\n * - {Number} port\n * - {String} url\n * - {Boolean} cookies\n * @return {Client}\n * @see Client\n */\nxmlrpc.createSecureClient = function(options) {\n return new Client(options, true)\n}\n\n/**\n * Creates an XML-RPC server.\n *\n * @param {Object}options - the HTTP server options\n * - {String} host\n * - {Number} port\n * @return {Server}\n * @see Server\n */\nxmlrpc.createServer = function(options, callback) {\n return new Server(options, false, callback)\n}\n\n/**\n * Creates an XML-RPC server that uses HTTPS.\n *\n * @param {Object}options - the HTTP server options","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815459179},{"role":"assistant","content":[{"type":"text","text":"OK, so `createSecureClient` takes an options object with host, port, url. Let me check how the `url` option works:"},{"type":"toolCall","id":"call_00_hwm2n6XovoLtDKRIrRq78012","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && grep -B5 -A30 \"var Client\" openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js","timeout":5}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":327,"output":131,"cacheRead":24064,"cacheWrite":0,"totalTokens":24522,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815459181,"responseId":"a3915441-618e-44d8-82ee-f660a94ddc88"},{"role":"toolResult","toolCallId":"call_00_hwm2n6XovoLtDKRIrRq78012","toolName":"exec","content":[{"type":"text","text":"\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":17,"aggregated":"\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815461272},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_q0hQaM9PVY6KzGD2SN6Y0601","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && grep -n \"module.exports\\|exports\\|Client\\|function Client\\|function client\" openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js","timeout":5}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":93,"output":108,"cacheRead":24448,"cacheWrite":0,"totalTokens":24649,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815461274,"responseId":"e61e2205-2399-4889-9225-55aa7be30a10"},{"role":"toolResult","toolCallId":"call_00_q0hQaM9PVY6KzGD2SN6Y0601","toolName":"exec","content":[{"type":"text","text":"9: * Creates a Client object for making XML-RPC method calls.\n23: * @return {Client}\n25:function Client(options, isSecure) {\n28: if (false === (this instanceof Client)) {\n29: return new Client(options, isSecure)\n48: 'User-Agent' : 'NodeJS XML-RPC Client'\n99:Client.prototype.methodCall = function methodCall(method, params, callback) {\n147:Client.prototype.getCookie = function getCookie(name) {\n168:Client.prototype.setCookie = function setCookie(name, value) {\n176:module.exports = Client"}],"details":{"status":"completed","exitCode":0,"durationMs":49,"aggregated":"9: * Creates a Client object for making XML-RPC method calls.\n23: * @return {Client}\n25:function Client(options, isSecure) {\n28: if (false === (this instanceof Client)) {\n29: return new Client(options, isSecure)\n48: 'User-Agent' : 'NodeJS XML-RPC Client'\n99:Client.prototype.methodCall = function methodCall(method, params, callback) {\n147:Client.prototype.getCookie = function getCookie(name) {\n168:Client.prototype.setCookie = function setCookie(name, value) {\n176:module.exports = Client","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815462972},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_BLiOsgIbHdZ2coGXx9ou5472","name":"read","arguments":{"path":"~/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js","offset":25,"limit":50}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":212,"output":104,"cacheRead":24576,"cacheWrite":0,"totalTokens":24892,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815462974,"responseId":"25948502-f5ac-4021-97bc-5d05c2ff119e"},{"role":"toolResult","toolCallId":"call_00_BLiOsgIbHdZ2coGXx9ou5472","toolName":"read","content":[{"type":"text","text":"function Client(options, isSecure) {\n\n // Invokes with new if called without\n if (false === (this instanceof Client)) {\n return new Client(options, isSecure)\n }\n\n // If a string URI is passed in, converts to URI fields\n if (typeof options === 'string') {\n options = url.parse(options)\n options.host = options.hostname\n options.path = options.pathname\n }\n\n if (typeof options.url !== 'undefined') {\n var parsedUrl = url.parse(options.url);\n options.host = parsedUrl.hostname;\n options.path = parsedUrl.pathname;\n options.port = parsedUrl.port;\n }\n\n // Set the HTTP request headers\n var headers = {\n 'User-Agent' : 'NodeJS XML-RPC Client'\n , 'Content-Type' : 'text/xml'\n , 'Accept' : 'text/xml'\n , 'Accept-Charset' : 'UTF8'\n , 'Connection' : 'Keep-Alive'\n }\n options.headers = options.headers || {}\n\n if (options.headers.Authorization == null &&\n options.basic_auth != null &&\n options.basic_auth.user != null &&\n options.basic_auth.pass != null)\n {\n var auth = options.basic_auth.user + ':' + options.basic_auth.pass\n options.headers['Authorization'] = 'Basic ' + new Buffer(auth).toString('base64')\n }\n\n for (var attribute in headers) {\n if (options.headers[attribute] === undefined) {\n options.headers[attribute] = headers[attribute]\n }\n }\n\n options.method = 'POST'\n this.options = options\n\n this.isSecure = isSecure\n\n[104 more lines in file. Use offset=75 to continue.]"}],"isError":false,"timestamp":1778815464348},{"role":"assistant","content":[{"type":"text","text":"OK I see, the new xmlrpc module (at `./openclaw-zblog-markdown-publisher/node_modules/xmlrpc`) handles both string URL and options format. But my script was using the `xmlrpc` from `node_modules/xmlrpc` which might be a different version. The issue is the \"Invalid XML-RPC message / Bad Request\" error. Let me rewrite the script to use the same pattern as the working ones:"},{"type":"toolCall","id":"call_00_SuXSrI9sYlvG5Dxu7C9H0918","name":"write","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-h200.js","content":"const xmlrpc = require('./openclaw-zblog-markdown-publisher/node_modules/xmlrpc');\nconst fs = require('fs');\n\nconst WEBSITE_CONFIG = {\n endpoint: 'https://weixinsiwei.com/zb_system/xml-rpc/index.php',\n username: 'admin',\n password: '135269zxj',\n blogId: '68ba1ff10060dd54f1e399b8e332bdba'\n};\n\nconsole.log('🚀 开始发布《特朗普刚走，75万颗H200就来了》到创业思维网...');\n\n// 读取HTML内容\nconst htmlContent = fs.readFileSync('/tmp/h200-article.html', 'utf-8');\n\n// 提取和清理内容\nconst bodyMatch = htmlContent.match(/<body[^>]*>([\\s\\S]*)<\\/body>/i);\nlet content = bodyMatch ? bodyMatch[1] : htmlContent;\ncontent = content.replace(/<div id=\"output\">|<\\/div>/g, '');\ncontent = content.replace(/<section class=\"container\"[^>]*>|<\\/section>/g, '');\n\nconsole.log('📝 文章标题:', '特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片');\nconsole.log('📊 内容长度:', content.length, '字符');\n\nconst client = xmlrpc.createSecureClient(WEBSITE_CONFIG.endpoint);\n\nclient.methodCall('metaWeblog.newPost', [\n WEBSITE_CONFIG.blogId,\n WEBSITE_CONFIG.username,\n WEBSITE_CONFIG.password,\n {\n title: '特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片',\n description: content,\n categories: ['1'],\n mt_keywords: '英伟达,H200,AI芯片,美国出口,中国公司,特朗普,黄仁勋'\n },\n true // 立即发布\n], (error, postId) => {\n if (error) {\n console.error('❌ 网站发布失败:', error.message || error);\n process.exit(1);\n } else {\n console.log('✅ 网站发布成功!');\n console.log('📌 文章ID:', postId);\n console.log('🌐 文章链接: https://weixinsiwei.com/?post=' + postId);\n \n // 验证 - getRecentPosts\n console.log('\\n=== 正在验证发布结果 ===');\n client.methodCall('metaWeblog.getRecentPosts', [\n WEBSITE_CONFIG.blogId,\n WEBSITE_CONFIG.username,\n WEBSITE_CONFIG.password,\n 5\n ], (err2, posts) => {\n if (err2) {\n console.error('❌ 获取最近文章失败:', err2.message || err2);\n process.exit(1);\n }\n console.log('最近5篇文章:');\n (posts || []).forEach(p => {\n console.log(` - ID: ${p.postid || p.postId}, Title: ${p.title}`);\n });\n console.log('=== 验证完成 ===');\n });\n }\n});\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":465,"output":849,"cacheRead":24832,"cacheWrite":0,"totalTokens":26146,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815464350,"responseId":"e5173e5a-4d6f-4d07-a997-6e27954f2f38"},{"role":"toolResult","toolCallId":"call_00_SuXSrI9sYlvG5Dxu7C9H0918","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2023 bytes to /root/.openclaw/agents/发布大师/workspace/publish-h200.js"}],"isError":false,"timestamp":1778815471412},{"role":"assistant","content":[{"type":"text","text":"Now let me handle the WeChat cover issue. The script needs a cover image. I'll generate a simple blue-themed cover using imagemagick or similar:"},{"type":"toolCall","id":"call_00_1WE5Nl0YHw2VOfm9iE6p0709","name":"exec","arguments":{"command":"which convert 2>/dev/null || which magick 2>/dev/null || which ffmpeg 2>/dev/null || echo \"no image tools\"","timeout":5}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":73,"output":122,"cacheRead":26112,"cacheWrite":0,"totalTokens":26307,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815471414,"responseId":"c41a0a32-e0e8-40f2-a161-b904402f29e2"},{"role":"toolResult","toolCallId":"call_00_1WE5Nl0YHw2VOfm9iE6p0709","toolName":"exec","content":[{"type":"text","text":"/usr/bin/convert"}],"details":{"status":"completed","exitCode":0,"durationMs":45,"aggregated":"/usr/bin/convert","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815473369},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_Ipoo1XOLdeRNHk4ocoLB8230","name":"exec","arguments":{"command":"convert -size 900x500 xc:'#1a73e8' -font Helvetica -pointsize 36 -fill white -gravity center -annotate 0 'AI芯片\\n75万颗H200来了' -font Helvetica -pointsize 18 -annotate +0+120 '创业张三疯' /tmp/wechat-cover-h200.png 2>&1","timeout":10}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":83,"output":141,"cacheRead":26240,"cacheWrite":0,"totalTokens":26464,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815473371,"responseId":"a812dad7-c798-42cb-af71-bb1be6655062"},{"role":"toolResult","toolCallId":"call_00_Ipoo1XOLdeRNHk4ocoLB8230","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"details":{"status":"completed","exitCode":0,"durationMs":146,"aggregated":"","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815476372},{"role":"assistant","content":[{"type":"text","text":"Now let me run both tasks simultaneously again - the WeChat publish with the cover image, and the website publish:"},{"type":"toolCall","id":"call_00_jzpWbB4ZhYAbCZ4atsXh5251","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/101/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md --theme default --color blue --author \"ai张三疯\" --title \"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\" --cover /tmp/wechat-cover-h200.png","timeout":60,"yieldMs":40000}},{"type":"toolCall","id":"call_01_aScLsTBZhA8GbpKiXhUp8941","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/发布大师/workspace && node publish-h200.js","timeout":30,"yieldMs":15000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":110,"output":341,"cacheRead":26368,"cacheWrite":0,"totalTokens":26819,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815476374,"responseId":"10af2b94-9cb8-42c2-bb99-79eb81b01081"},{"role":"toolResult","toolCallId":"call_00_jzpWbB4ZhYAbCZ4atsXh5251","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-N245bf/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。...\n[wechat-api] Type: news\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /tmp/wechat-cover-h200.png\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE\",\n \"title\": \"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE"}],"details":{"status":"completed","exitCode":0,"durationMs":6835,"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-N245bf/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。...\n[wechat-api] Type: news\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /tmp/wechat-cover-h200.png\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE\",\n \"title\": \"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815486125},{"role":"toolResult","toolCallId":"call_01_aScLsTBZhA8GbpKiXhUp8941","toolName":"exec","content":[{"type":"text","text":"🚀 开始发布《特朗普刚走，75万颗H200就来了》到创业思维网...\n📝 文章标题: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n📊 内容长度: 2653 字符\n✅ 网站发布成功!\n📌 文章ID: true\n🌐 文章链接: https://weixinsiwei.com/?post=true\n\n=== 正在验证发布结果 ===\n最近5篇文章:\n - ID: 9587, Title: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n - ID: 9586, Title: 马斯克带娃中国行吵翻了，但你们吵的点全错了\n - ID: 9585, Title: 特朗普访华宴会上，26位企业家的"万亿美元饭局"：谁和谁最可能联手赚钱？\n - ID: 9584, Title: 微信聊天记录一键转发元宝：你的聊天记录，终于有了"AI大脑"\n - ID: 9583, Title: 14.32亿月活还在涨，腾讯的AI故事才刚刚开始\n=== 验证完成 ==="}],"details":{"status":"completed","exitCode":0,"durationMs":1437,"aggregated":"🚀 开始发布《特朗普刚走，75万颗H200就来了》到创业思维网...\n📝 文章标题: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n📊 内容长度: 2653 字符\n✅ 网站发布成功!\n📌 文章ID: true\n🌐 文章链接: https://weixinsiwei.com/?post=true\n\n=== 正在验证发布结果 ===\n最近5篇文章:\n - ID: 9587, Title: 特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\n - ID: 9586, Title: 马斯克带娃中国行吵翻了，但你们吵的点全错了\n - ID: 9585, Title: 特朗普访华宴会上，26位企业家的"万亿美元饭局"：谁和谁最可能联手赚钱？\n - ID: 9584, Title: 微信聊天记录一键转发元宝：你的聊天记录，终于有了"AI大脑"\n - ID: 9583, Title: 14.32亿月活还在涨，腾讯的AI故事才刚刚开始\n=== 验证完成 ===","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815486125},{"role":"assistant","content":[{"type":"text","text":"Both publishing tasks succeeded. Now let me verify the WeChat draft using batchget:"},{"type":"toolCall","id":"call_00_g2PDjmU68uwA7I6Emfh71755","name":"exec","arguments":{"command":"cd ~/.openclaw/agents/101/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md --dry-run 2>&1 | head -5; echo \"---\"; bun -e \"\nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47ee298204c28cf82549d2798192f';\n\nasync function verify() {\n // Get token\n const tokenResp = await fetch(\\`\\${API_BASE}/token?grant_type=client_credential&appid=\\${APP_ID}&secret=\\${APP_SECRET}\\`);\n const tokenData = await tokenResp.json();\n console.log('Token response:', JSON.stringify(tokenData));\n \n if (!tokenData.access_token) {\n console.error('Failed to get token');\n return;\n }\n \n const token = tokenData.access_token;\n \n // Batchget draft\n const batchgetResp = await fetch(\\`\\${API_BASE}/draft/batchget?access_token=\\${token}\\`, {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 10,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n \n if (batchgetData.errcode && batchgetData.errcode !== 0) {\n console.error('Batchget error:', JSON.stringify(batchgetData));\n return;\n }\n \n console.log('Total drafts:', batchgetData.total || batchgetData.item_count);\n const items = batchgetData.item || [];\n \n // Find our article\n let found = false;\n for (const item of items) {\n for (const article of (item.content_item || item.news_item || [])) {\n if (article.title && article.title.includes('H200')) {\n console.log('✅ Found H200 article in drafts!');\n console.log(' Title:', article.title);\n console.log(' Media ID:', item.media_id);\n found = true;\n }\n }\n }\n \n if (!found) {\n console.log('Showing recent draft titles for reference:');\n for (const item of items.slice(0, 3)) {\n for (const article of (item.content_item || item.news_item || [])) {\n console.log(' Draft:', article.title);\n }\n }\n }\n}\n\nverify().catch(console.error);\n\" 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":747,"output":715,"cacheRead":26752,"cacheWrite":0,"totalTokens":28214,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815486127,"responseId":"96daaa53-6f5e-4be3-a6cb-60dcc1716c2e"},{"role":"toolResult","toolCallId":"call_00_g2PDjmU68uwA7I6Emfh71755","toolName":"exec","content":[{"type":"text","text":"[wechat-api] Theme: default, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-S2yCf8/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 从H20到H200：质的飞跃\n---\nToken response: {\"access_token\":\"104_cWHUSlQmjC_bGwIZbFuSKKKWYbmksurtQGDlMZVte3VOB9nfODCYDZKsDlPENdVetijxciIv4p6wJ-vIbbXr1D1YrFkwHNHSiuXcwGJ-MS2QCuR6QhHXNmFqNBoNGDiACAVOL\",\"expires_in\":7200}\nTotal drafts: 10\nShowing recent draft titles for reference:"}],"details":{"status":"completed","exitCode":0,"durationMs":3205,"aggregated":"[wechat-api] Theme: default, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-S2yCf8/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 从H20到H200：质的飞跃\n---\nToken response: {\"access_token\":\"104_cWHUSlQmjC_bGwIZbFuSKKKWYbmksurtQGDlMZVte3VOB9nfODCYDZKsDlPENdVetijxciIv4p6wJ-vIbbXr1D1YrFkwHNHSiuXcwGJ-MS2QCuR6QhHXNmFqNBoNGDiACAVOL\",\"expires_in\":7200}\nTotal drafts: 10\nShowing recent draft titles for reference:","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815495710},{"role":"assistant","content":[{"type":"text","text":"It seems the dry-run mode uses the first `#` title. Let me verify differently - let me look at the drafts list directly:"},{"type":"toolCall","id":"call_00_rR7i7oDJ4HyA3VZaZNYi1014","name":"exec","arguments":{"command":"bun -e \"\nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47ee298204c28cf82549d2798192f';\n\nasync function verify() {\n const tokenResp = await fetch(\\`\\${API_BASE}/token?grant_type=client_credential&appid=\\${APP_ID}&secret=\\${APP_SECRET}\\`);\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n \n const batchgetResp = await fetch(\\`\\${API_BASE}/draft/batchget?access_token=\\${token}\\`, {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 10,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n \n const items = batchgetData.item || [];\n let found = false;\n for (const item of items) {\n const articles = item.content_item || item.news_item || [];\n for (const article of articles) {\n console.log('Draft title:', article.title);\n if (article.title && article.title.includes('特朗普') && article.title.includes('H200')) {\n console.log('✅ FOUND!');\n found = true;\n }\n }\n }\n \n if (!found) {\n console.log('\\\\n❌ H200 article not found in recent drafts');\n }\n}\n\nverify().catch(console.error);\n\" 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":279,"output":443,"cacheRead":28160,"cacheWrite":0,"totalTokens":28882,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815495712,"responseId":"d993974e-b17f-4769-b64d-4c6dbb7fca44"},{"role":"toolResult","toolCallId":"call_00_rR7i7oDJ4HyA3VZaZNYi1014","toolName":"exec","content":[{"type":"text","text":"❌ H200 article not found in recent drafts"}],"details":{"status":"completed","exitCode":0,"durationMs":875,"aggregated":"❌ H200 article not found in recent drafts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815500234},{"role":"assistant","content":[{"type":"text","text":"The H200 article isn't appearing in batchget. Let me check the actual publish output more carefully - it returned `success: true` with a `media_id`. Let me check if the draft needs a different approach, or if batchget requires `offset=0,count=10` format:"},{"type":"toolCall","id":"call_00_AlgbRFXsHC4ZqDKTK6mX3542","name":"exec","arguments":{"command":"bun -e \"\nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47ee298204c28cf82549d2798192f';\n\nasync function verify() {\n const tokenResp = await fetch(\\`\\${API_BASE}/token?grant_type=client_credential&appid=\\${APP_ID}&secret=\\${APP_SECRET}\\`);\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n console.log('Token obtained');\n \n // Try getting the specific media_id\n const mediaId = 'imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE';\n const getResp = await fetch(\\`\\${API_BASE}/draft/get?access_token=\\${token}\\`, {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n media_id: mediaId\n })\n });\n const data = await getResp.json();\n console.log('Get draft result:', JSON.stringify(data, null, 2).substring(0, 1000));\n}\n\nverify().catch(console.error);\n\" 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":104,"output":424,"cacheRead":28800,"cacheWrite":0,"totalTokens":29328,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815500236,"responseId":"21d70ce8-22a7-4bf8-830b-05c7f4cebb05"},{"role":"toolResult","toolCallId":"call_00_AlgbRFXsHC4ZqDKTK6mX3542","toolName":"exec","content":[{"type":"text","text":"Token obtained\nGet draft result: {\n \"news_item\": [\n {\n \"title\": \"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\",\n \"author\": \"ai张三疯\",\n \"digest\": \"就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。\",\n \"content\": \"<section class=\\\"container\\\" style=\\\"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;\\\"><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f; margin-top: 0 !important;\\\">事情正在起变化。</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">75万颗英伟达H200——这是目前全球性能最强、可用于大模型训练的完整版AI芯片——被批准出口到10家中国公司。</strong></p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3"}],"details":{"status":"completed","exitCode":0,"durationMs":989,"aggregated":"Token obtained\nGet draft result: {\n \"news_item\": [\n {\n \"title\": \"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\",\n \"author\": \"ai张三疯\",\n \"digest\": \"就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。\",\n \"content\": \"<section class=\\\"container\\\" style=\\\"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;\\\"><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f; margin-top: 0 !important;\\\">事情正在起变化。</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">就在特朗普访华宴会结束、黄仁勋随行回美之后没几天，美国商务部一纸批文，改写了中美AI芯片的格局。</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">75万颗英伟达H200——这是目前全球性能最强、可用于大模型训练的完整版AI芯片——被批准出口到10家中国公司。</strong></p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815505373},{"role":"assistant","content":[{"type":"text","text":"The draft is confirmed with the correct title. The batchget issue might be pagination - let me check:"},{"type":"toolCall","id":"call_00_CfNGmHEIYFAsgSnOq4Ad8745","name":"exec","arguments":{"command":"bun -e \"\nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47ee298204c28cf82549d2798192f';\n\nasync function verify() {\n const tokenResp = await fetch(\\`\\${API_BASE}/token?grant_type=client_credential&appid=\\${APP_ID}&secret=\\${APP_SECRET}\\`);\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n\n // Try batchget with offset 0, count 20\n const batchgetResp = await fetch(\\`\\${API_BASE}/draft/batchget?access_token=\\${token}\\`, {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 20,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n console.log('batchget errcode:', batchgetData.errcode, 'total:', batchgetData.total, 'count:', (batchgetData.item || []).length);\n \n // Check structure\n if (batchgetData.item && batchgetData.item.length > 0) {\n console.log('First item keys:', Object.keys(batchgetData.item[0]));\n const firstArticles = batchgetData.item[0].content_item || batchgetData.item[0].news_item || [];\n console.log('First article titles:', firstArticles.map(a => a.title));\n }\n \n // Try looking at all items\n for (const item of (batchgetData.item || [])) {\n const articles = item.content_item || item.news_item || [];\n for (const a of articles) {\n if (a.title && a.title.includes('H200')) {\n console.log('✅ Found in batchget! Title:', a.title);\n }\n }\n }\n}\n\nverify().catch(console.error);\n\" 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":463,"output":529,"cacheRead":29312,"cacheWrite":0,"totalTokens":30304,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815505375,"responseId":"ff45d4ef-24c4-4a8b-984c-3719b0e6bba5"},{"role":"toolResult","toolCallId":"call_00_CfNGmHEIYFAsgSnOq4Ad8745","toolName":"exec","content":[{"type":"text","text":"batchget errcode: undefined total: undefined count: 20\nFirst item keys: [ \"media_id\", \"content\", \"update_time\" ]\nFirst article titles: []"}],"details":{"status":"completed","exitCode":0,"durationMs":1258,"aggregated":"batchget errcode: undefined total: undefined count: 20\nFirst item keys: [ \"media_id\", \"content\", \"update_time\" ]\nFirst article titles: []","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815511087},{"role":"assistant","content":[{"type":"text","text":"The structure is different - the items have `content` directly instead of `content_item` or `news_item` when `no_content` is off. Let me fix:"},{"type":"toolCall","id":"call_00_BntgbLv0JwKV7BUHDYGW6166","name":"exec","arguments":{"command":"bun -e \"\nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47ee298204c28cf82549d2798192f';\n\nasync function verify() {\n const tokenResp = await fetch(\\`\\${API_BASE}/token?grant_type=client_credential&appid=\\${APP_ID}&secret=\\${APP_SECRET}\\`);\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n\n const batchgetResp = await fetch(\\`\\${API_BASE}/draft/batchget?access_token=\\${token}\\`, {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 20,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n \nconsole.log('Item count:', (batchgetData.item || []).length);\n \n // Try looking at items directly \n let found = false;\n for (const item of (batchgetData.item || [])) {\n // Some versions have news_item directly\n for (const key of Object.keys(item)) {\n console.log('Key:', key, 'Type:', typeof item[key], Array.isArray(item[key]) ? 'array(len='+item[key].length+')' : typeof item[key]);\n }\n // Check if H200 title is anywhere in this item\n const str = JSON.stringify(item);\n if (str.includes('特朗普') && str.includes('H200')) {\n console.log('✅ Found H200 in batchget!');\n found = true;\n }\n }\n \n if (!found) {\n console.log('Not found in batchget with no_content=1. Trying without...');\n }\n}\n\nverify().catch(console.error);\n\" 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":144,"output":517,"cacheRead":30208,"cacheWrite":0,"totalTokens":30869,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778815511090,"responseId":"62b26b83-1809-4058-9f0f-2013f168237a"},{"role":"toolResult","toolCallId":"call_00_BntgbLv0JwKV7BUHDYGW6166","toolName":"exec","content":[{"type":"text","text":"Item count: 20\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\n✅ Found H200 in batchget!\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number"}],"details":{"status":"completed","exitCode":0,"durationMs":944,"aggregated":"Item count: 20\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\n✅ Found H200 in batchget!\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number\nKey: media_id Type: string string\nKey: content Type: object object\nKey: update_time Type: number number","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778815516348},{"role":"assistant","content":[{"type":"text","text":"✅ Both publishing tasks are successful and verified. Let me compile the results.\n\n---\n\n## 发布任务完成报告\n\n### ✅ 1. 公众号发布（创业张三疯）\n- **状态：成功** ✅\n- 标题：`特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片`\n- 作者：ai张三疯\n- 封面：蓝色主题封面（已生成上传）\n- 草稿 media_id：`imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE`\n- **验证：已通过 draft/get 确认为草稿箱中，标题正确**\n\n### ✅ 2. 网站发布（创业思维网 weixinsiwei.com）\n- **状态：成功** ✅\n- 发布脚本：`~/.openclaw/agents/发布大师/workspace/publish-h200.js`\n- 文章ID：9587\n- 文章链接：`https://weixinsiwei.com/?post=9587`\n- **验证：已通过 getRecentPosts 确认** - 最新文章标题为\"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\"\n\n### 📋 备注\n- 公众号发布时使用 `--title` 参数正确传递了完整标题（避免截取文件第一行 `## 事情正在起变化`）\n- 生成了临时蓝色封面 `/tmp/wechat-cover-h200.png`\n- 网站发布改用 `createSecureClient(endpoint)` 格式（与之前的成功脚本一致）解决了\"Bad Request\"问题"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":566,"output":376,"cacheRead":30848,"cacheWrite":0,"totalTokens":31790,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1778815516350,"responseId":"8204c76e-3d38-4cff-ae20-85a2d9f4c53d"}]}}
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"f573615c-251c-4698-878a-a5065455523f","source":"runtime","type":"trace.artifacts","ts":"2026-05-15T03:25:20.762Z","seq":6,"sourceSeq":6,"sessionId":"f573615c-251c-4698-878a-a5065455523f","sessionKey":"agent:fabu:subagent:a61d2248-0ac0-46dd-aeac-08f138699e6e","runId":"853a6292-5371-43e8-8df3-b4758d09ae80","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"capturedAt":"2026-05-15T03:25:20.762Z","finalStatus":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":17412,"output":8758,"cacheRead":557952,"total":584122},"promptCache":{"lastCallUsage":{"input":566,"output":376,"cacheRead":30848,"cacheWrite":0,"total":31790},"lastCacheTouchAt":1778815516350},"compactionCount":0,"assistantTexts":["Let me start by reading the article file and checking the workspace.","Good, I can see the article file. Now let me create the HTML file for the website and the publish script. Let me start by creating the HTML file.","I have the reference publish script. Now let me create the HTML file and the publish script simultaneously.","Files created. Now let me run the WeChat publish and the Z-Blog publish in parallel. Let me first check that the wechat-api script exists.","Both scripts and dependencies are available. Let me start both publishing tasks.","Two issues need to be addressed. Let me fix them:\n\n1. **WeChat**: Needs a cover image (--cover or use fallback). The task says \"无封面图，让脚本生成蓝色主题封面\" - so I need to check if there's a way to generate one or provide a placeholder.\n2. **Z-Blog**: The XML-RPC call is getting \"Bad Request\" - could be the content encoding or content type. Let me check the reference publish script more carefully.\n\nLet me investigate both issues.","Let me look at a successful publish script to understand the XML-RPC format better:","I see - the successful scripts use `createSecureClient(endpoint)` format instead of the `createClient({host, path, port, secure})` format. Let me also check the xmlrpc module to see what's compatible:","Let me check the XML-RPC client to understand createSecureClient:","The xmlrpc lib accepts createSecureClient with a URL string or options object. Let me update the publish script to use the same pattern as the known-working scripts:","OK, so `createSecureClient` takes an options object with host, port, url. Let me check how the `url` option works:","OK I see, the new xmlrpc module (at `./openclaw-zblog-markdown-publisher/node_modules/xmlrpc`) handles both string URL and options format. But my script was using the `xmlrpc` from `node_modules/xmlrpc` which might be a different version. The issue is the \"Invalid XML-RPC message / Bad Request\" error. Let me rewrite the script to use the same pattern as the working ones:","Now let me handle the WeChat cover issue. The script needs a cover image. I'll generate a simple blue-themed cover using imagemagick or similar:","Now let me run both tasks simultaneously again - the WeChat publish with the cover image, and the website publish:","Both publishing tasks succeeded. Now let me verify the WeChat draft using batchget:","It seems the dry-run mode uses the first `#` title. Let me verify differently - let me look at the drafts list directly:","The H200 article isn't appearing in batchget. Let me check the actual publish output more carefully - it returned `success: true` with a `media_id`. Let me check if the draft needs a different approach, or if batchget requires `offset=0,count=10` format:","The draft is confirmed with the correct title. The batchget issue might be pagination - let me check:","The structure is different - the items have `content` directly instead of `content_item` or `news_item` when `no_content` is off. Let me fix:","✅ Both publishing tasks are successful and verified. Let me compile the results.\n\n---\n\n## 发布任务完成报告\n\n### ✅ 1. 公众号发布（创业张三疯）\n- **状态：成功** ✅\n- 标题：`特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片`\n- 作者：ai张三疯\n- 封面：蓝色主题封面（已生成上传）\n- 草稿 media_id：`imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE`\n- **验证：已通过 draft/get 确认为草稿箱中，标题正确**\n\n### ✅ 2. 网站发布（创业思维网 weixinsiwei.com）\n- **状态：成功** ✅\n- 发布脚本：`~/.openclaw/agents/发布大师/workspace/publish-h200.js`\n- 文章ID：9587\n- 文章链接：`https://weixinsiwei.com/?post=9587`\n- **验证：已通过 getRecentPosts 确认** - 最新文章标题为\"特朗普刚走，75万颗H200就来了：美国批准向10家中国公司出口英伟达顶级AI芯片\"\n\n### 📋 备注\n- 公众号发布时使用 `--title` 参数正确传递了完整标题（避免截取文件第一行 `## 事情正在起变化`）\n- 生成了临时蓝色封面 `/tmp/wechat-cover-h200.png`\n- 网站发布改用 `createSecureClient(endpoint)` 格式（与之前的成功脚本一致）解决了\"Bad Request\"问题"],"finalPromptText":"[Fri 2026-05-15 11:23 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":57,"completedCount":57,"activeCount":0},"toolMetas":[{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/, `ls ~/.openclaw/agents/101/workspace/`"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md"},{"toolName":"exec","meta":"show ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md, `cat ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-15/美批准出口H200-75万颗芯片-2026-05-15.md`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/发布大师/workspace/ → show ~/.openclaw/agents/发布大师/workspace/publish-musk-daibao.js → print text, `ls ~/.openclaw/agents/发布大师/workspace/ 2>/dev/null; cat ~/.openclaw/agents/发布大师/workspace/publish-musk-daibao.js 2>/dev/…`"},{"toolName":"write","meta":"to ~/.openclaw/agents/发布大师/workspace/publish-h200.js (1562 chars)"},{"toolName":"write","meta":"to /tmp/h200-article.html (2793 chars)"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts → print text, `ls -la ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>/dev/null || echo \"NOT FOUN…`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/发布大师/workspace/node_modules/xmlrpc/lib/xmlrpc.js → print text, `ls ~/.openclaw/agents/发布大师/workspace/node_modules/xmlrpc/lib/xmlrpc.js 2>/dev/null && echo \"xmlrpc available\"`"},{"toolName":"exec","meta":"run node script publish-h200.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && node publish-h200.js`"},{"toolName":"exec","meta":"run bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts (in ~/.openclaw/agents/101/workspace), `cd ~/.openclaw/agents/101/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=b2d47e…81…`"},{"toolName":"exec","meta":"run bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts -> show first 50 lines (in ~/.openclaw/agents/101/workspace), `cd ~/.openclaw/agents/101/workspace && bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts --help 2>&1 | head -50`"},{"toolName":"exec","meta":"show test-zblog.js → print text → show test-zblog-connection.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && cat test-zblog.js 2>/dev/null; echo \"---\"; cat test-zblog-connection.js 2>/dev/…`"},{"toolName":"exec","meta":"show publish-ai-100-entrepreneurs.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && cat publish-ai-100-entrepreneurs.js`"},{"toolName":"exec","meta":"show publish-grid-robot.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && cat publish-grid-robot.js`"},{"toolName":"exec","meta":"list files in openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/ (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && ls openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/`"},{"toolName":"exec","meta":"search \"createSecureClient|createClient|exports\" in openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/xmlrpc.js -> show first 20 lines (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && grep -n \"createSecureClient\\|createClient\\|exports\" openclaw-zblog-markdown-pub…`"},{"toolName":"exec","meta":"show first 5 lines of openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js -> search \"url|strict|options\" (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && head -5 openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js | g…`"},{"toolName":"exec","meta":"search \"createSecureClient|createClient\" in openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/xmlrpc.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && grep -A 20 \"createSecureClient\\|createClient\" openclaw-zblog-markdown-publisher…`"},{"toolName":"exec","meta":"search \"var Client\" in openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && grep -B5 -A30 \"var Client\" openclaw-zblog-markdown-publisher/node_modules/xmlrp…`"},{"toolName":"exec","meta":"search \"module.exports|exports|Client|function Client|function client\" in openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && grep -n \"module.exports\\|exports\\|Client\\|function Client\\|function client\" ope…`"},{"toolName":"read","meta":"lines 25-74 from ~/.openclaw/agents/发布大师/workspace/openclaw-zblog-markdown-publisher/node_modules/xmlrpc/lib/client.js"},{"toolName":"write","meta":"to ~/.openclaw/agents/发布大师/workspace/publish-h200.js (2023 chars)"},{"toolName":"exec","meta":"run which convert → run which magick → run which ffmpeg → print text, `which convert 2>/dev/null || which magick 2>/dev/null || which ffmpeg 2>/dev/null || echo \"no image tools\"`"},{"toolName":"exec","meta":"convert -size 900x500 xc:'#1a73e8' -font Helvetica -pointsize 36 -fill white -gravity center -annotate 0 'AI芯片\\n75万颗H20…"},{"toolName":"exec","meta":"run node script publish-h200.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && node publish-h200.js`"},{"toolName":"exec","meta":"run bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts (in ~/.openclaw/agents/101/workspace), `cd ~/.openclaw/agents/101/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=b2d47e…81…`"},{"toolName":"exec","meta":"run bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts -> show first 5 lines → print text → run bun \nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47e…192f';\n\nasync function verify() {\n // Get token\n const tokenResp = await fetch(`${API_BASE}/token?grant_type=client_credential&appid=${APP_ID}&secret=***\n const tokenData = await tokenResp.json();\n console.log('Token response:', JSON.stringify(tokenData));\n \n if (!tokenData.access_token) {\n console.error('Failed to get token');\n return;\n }\n \n const token = tokenData.access_token;\n \n // Batchget draft\n const batchgetResp = await fetch(`${API_BASE}/draft/batchget?access_token=*** {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 10,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n \n if (batchgetData.errcode && batchgetData.errcode !== 0) {\n console.error('Batchget error:', JSON.stringify(batchgetData));\n return;\n }\n \n console.log('Total drafts:', batchgetData.total || batchgetData.item_count);\n const items = batchgetData.item || [];\n \n // Find our article\n let found = false;\n for (const item of items) {\n for (const article of (item.content_item || item.news_item || [])) {\n if (article.title && article.title.includes('H200')) {\n console.log('✅ Found H200 article in drafts!');\n console.log(' Title:', article.title);\n console.log(' Media ID:', item.media_id);\n found = true;\n }\n }\n }\n \n if (!found) {\n console.log('Showing recent draft titles for reference:');\n for (const item of items.slice(0, 3)) {\n for (const article of (item.content_item || item.news_item || [])) {\n console.log(' Draft:', article.title);\n }\n }\n }\n}\n\nverify().catch(console.error);\n (in ~/.openclaw/agents/101/workspace), `cd ~/.openclaw/agents/101/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=b2d47e…81…`"},{"toolName":"exec","meta":"run bun \nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47e…192f';\n\nasync function verify() {\n const tokenResp = await fetch(`${API_BASE}/token?grant_type=client_credential&appid=${APP_ID}&secret=***\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n \n const batchgetResp = await fetch(`${API_BASE}/draft/batchget?access_token=*** {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 10,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n \n const items = batchgetData.item || [];\n let found = false;\n for (const item of items) {\n const articles = item.content_item || item.news_item || [];\n for (const article of articles) {\n console.log('Draft title:', article.title);\n if (article.title && article.title.includes('特朗普') && article.title.includes('H200')) {\n console.log('✅ FOUND!');\n found = true;\n }\n }\n }\n \n if (!found) {\n console.log('\\n❌ H200 article not found in recent drafts');\n }\n}\n\nverify().catch(console.error);, `bun -e \" const API_BASE = 'https://api.weixin.qq.com/cgi-bin'; const APP_ID = 'wx88b0cf376e0386c4'; const APP_SECRET = ***"},{"toolName":"exec","meta":"run bun \nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47e…192f';\n\nasync function verify() {\n const tokenResp = await fetch(`${API_BASE}/token?grant_type=client_credential&appid=${APP_ID}&secret=***\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n console.log('Token obtained');\n \n // Try getting the specific media_id\n const mediaId = 'imBwNhfy9Uv4ps2luE5gfopMD_1F_sU8OQGoj0gTx293dD5UV67td_78ORFPsGwE';\n const getResp = await fetch(`${API_BASE}/draft/get?access_token=*** {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n media_id: mediaId\n })\n });\n const data = await getResp.json();\n console.log('Get draft result:', JSON.stringify(data, null, 2).substring(0, 1000));\n}\n\nverify().catch(console.error);, `bun -e \" const API_BASE = 'https://api.weixin.qq.com/cgi-bin'; const APP_ID = 'wx88b0cf376e0386c4'; const APP_SECRET = ***"},{"toolName":"exec","meta":"run bun \nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47e…192f';\n\nasync function verify() {\n const tokenResp = await fetch(`${API_BASE}/token?grant_type=client_credential&appid=${APP_ID}&secret=***\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n\n // Try batchget with offset 0, count 20\n const batchgetResp = await fetch(`${API_BASE}/draft/batchget?access_token=*** {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 20,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n console.log('batchget errcode:', batchgetData.errcode, 'total:', batchgetData.total, 'count:', (batchgetData.item || []).length);\n \n // Check structure\n if (batchgetData.item && batchgetData.item.length > 0) {\n console.log('First item keys:', Object.keys(batchgetData.item[0]));\n const firstArticles = batchgetData.item[0].content_item || batchgetData.item[0].news_item || [];\n console.log('First article titles:', firstArticles.map(a => a.title));\n }\n \n // Try looking at all items\n for (const item of (batchgetData.item || [])) {\n const articles = item.content_item || item.news_item || [];\n for (const a of articles) {\n if (a.title && a.title.includes('H200')) {\n console.log('✅ Found in batchget! Title:', a.title);\n }\n }\n }\n}\n\nverify().catch(console.error);, `bun -e \" const API_BASE = 'https://api.weixin.qq.com/cgi-bin'; const APP_ID = 'wx88b0cf376e0386c4'; const APP_SECRET = ***"},{"toolName":"exec","meta":"run bun \nconst API_BASE = 'https://api.weixin.qq.com/cgi-bin';\nconst APP_ID = 'wx88b0cf376e0386c4';\nconst APP_SECRET = 'b2d47e…192f';\n\nasync function verify() {\n const tokenResp = await fetch(`${API_BASE}/token?grant_type=client_credential&appid=${APP_ID}&secret=***\n const tokenData = await tokenResp.json();\n const token = tokenData.access_token;\n\n const batchgetResp = await fetch(`${API_BASE}/draft/batchget?access_token=*** {\n method: 'POST',\n headers: {'Content-Type': 'application/json'},\n body: JSON.stringify({\n offset: 0,\n count: 20,\n no_content: 1\n })\n });\n const batchgetData = await batchgetResp.json();\n \nconsole.log('Item count:', (batchgetData.item || []).length);\n \n // Try looking at items directly \n let found = false;\n for (const item of (batchgetData.item || [])) {\n // Some versions have news_item directly\n for (const key of Object.keys(item)) {\n console.log('Key:', key, 'Type:', typeof item[key], Array.isArray(item[key]) ? 'array(len='+item[key].length+')' : typeof item[key]);\n }\n // Check if H200 title is anywhere in this item\n const str = JSON.stringify(item);\n if (str.includes('特朗普') && str.includes('H200')) {\n console.log('✅ Found H200 in batchget!');\n found = true;\n }\n }\n \n if (!found) {\n console.log('Not found in batchget with no_content=1. Trying without...');\n }\n}\n\nverify().catch(console.error);, `bun -e \" const API_BASE = 'https://api.weixin.qq.com/cgi-bin'; const APP_ID = 'wx88b0cf376e0386c4'; const APP_SECRET = ***"}],"didSendViaMessagingTool":false,"successfulCronAdds":0,"messagingToolSentTexts":[],"messagingToolSentMediaUrls":[],"messagingToolSentTargets":[]}}
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