{"type":"session","version":3,"id":"f573615c-251c-4698-878a-a5065455523f","timestamp":"2026-05-15T03:23:38.531Z","cwd":"/root/.openclaw/workspace/fabu"} {"type":"model_change","id":"d9d7492a","parentId":null,"timestamp":"2026-05-15T03:23:38.540Z","provider":"deepseek","modelId":"deepseek-chat"} {"type":"thinking_level_change","id":"869e5192","parentId":"d9d7492a","timestamp":"2026-05-15T03:23:38.540Z","thinkingLevel":"off"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1778815418574,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"cab6a0db","parentId":"869e5192","timestamp":"2026-05-15T03:23:38.574Z"} {"type":"message","id":"979fb54c","parentId":"cab6a0db","timestamp":"2026-05-15T03:23:38.607Z","message":{"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}} {"type":"message","id":"472ec49d","parentId":"979fb54c","timestamp":"2026-05-15T03:23:40.522Z","message":{"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"}} {"type":"message","id":"bc78d2c7","parentId":"472ec49d","timestamp":"2026-05-15T03:23:40.685Z","message":{"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}} {"type":"message","id":"d694f669","parentId":"bc78d2c7","timestamp":"2026-05-15T03:23:40.686Z","message":{"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}} {"type":"message","id":"1aeb8732","parentId":"d694f669","timestamp":"2026-05-15T03:23:42.860Z","message":{"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"}} {"type":"message","id":"dd1378de","parentId":"1aeb8732","timestamp":"2026-05-15T03:23:43.049Z","message":{"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}} 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Now let me create the HTML file and the publish script simultaneously."},{"type":"toolCall","id":"call_00_MKBNhUGPcKCJ0UgwjN8q4924","name":"write","arguments":{"path":"/tmp/h200-article.html","content":"\n\n\n\n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\n

事情正在起变化。

\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

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

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。

\n

H200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
\n

75万颗H200到底意味着什么?

\n

算一笔简单的账。

\n

H200单颗市场价格约3-4万美元,取中间值3.5万美元:

\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?

\n

H200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。

\n

AI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"}} {"type":"message","id":"072f1788","parentId":"3f65c79a","timestamp":"2026-05-15T03:23:57.694Z","message":{"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}} {"type":"message","id":"9a924a8c","parentId":"072f1788","timestamp":"2026-05-15T03:23:57.694Z","message":{"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}} {"type":"message","id":"b37fa8d3","parentId":"9a924a8c","timestamp":"2026-05-15T03:23:59.981Z","message":{"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"}} {"type":"message","id":"649823e5","parentId":"b37fa8d3","timestamp":"2026-05-15T03:24:00.180Z","message":{"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}} {"type":"message","id":"061370c4","parentId":"649823e5","timestamp":"2026-05-15T03:24:00.180Z","message":{"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}} {"type":"message","id":"f82f16f5","parentId":"061370c4","timestamp":"2026-05-15T03:24:03.014Z","message":{"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=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f 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"}} {"type":"message","id":"74c90826","parentId":"f82f16f5","timestamp":"2026-05-15T03:24:06.061Z","message":{"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}} {"type":"message","id":"8f9cadd6","parentId":"74c90826","timestamp":"2026-05-15T03:24:06.061Z","message":{"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}} {"type":"message","id":"d60c8082","parentId":"8f9cadd6","timestamp":"2026-05-15T03:24:09.130Z","message":{"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"}} {"type":"message","id":"0039af31","parentId":"d60c8082","timestamp":"2026-05-15T03:24:09.353Z","message":{"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}} {"type":"message","id":"d4a4c93d","parentId":"0039af31","timestamp":"2026-05-15T03:24:09.354Z","message":{"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 = '***';\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}} {"type":"message","id":"afef7868","parentId":"d4a4c93d","timestamp":"2026-05-15T03:24:11.396Z","message":{"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"}} {"type":"message","id":"8887eb26","parentId":"afef7868","timestamp":"2026-05-15T03:24:11.587Z","message":{"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}} {"type":"message","id":"e61a0f77","parentId":"8887eb26","timestamp":"2026-05-15T03:24:11.588Z","message":{"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}} {"type":"message","id":"c8efeebc","parentId":"e61a0f77","timestamp":"2026-05-15T03:24:13.557Z","message":{"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"}} {"type":"message","id":"2f3ab88a","parentId":"c8efeebc","timestamp":"2026-05-15T03:24:13.670Z","message":{"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}} {"type":"message","id":"594c3471","parentId":"2f3ab88a","timestamp":"2026-05-15T03:24:15.351Z","message":{"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"}} {"type":"message","id":"98e44eec","parentId":"594c3471","timestamp":"2026-05-15T03:24:15.454Z","message":{"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}} {"type":"message","id":"5a02e7d1","parentId":"98e44eec","timestamp":"2026-05-15T03:24:17.370Z","message":{"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"}} {"type":"message","id":"0825cee0","parentId":"5a02e7d1","timestamp":"2026-05-15T03:24:17.483Z","message":{"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}} {"type":"message","id":"8bce73c0","parentId":"0825cee0","timestamp":"2026-05-15T03:24:19.079Z","message":{"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"}} {"type":"message","id":"42999939","parentId":"8bce73c0","timestamp":"2026-05-15T03:24:19.179Z","message":{"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}} {"type":"message","id":"af977be3","parentId":"42999939","timestamp":"2026-05-15T03:24:21.192Z","message":{"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"}} {"type":"message","id":"ff90a215","parentId":"af977be3","timestamp":"2026-05-15T03:24:21.272Z","message":{"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}} {"type":"message","id":"bf961e66","parentId":"ff90a215","timestamp":"2026-05-15T03:24:22.856Z","message":{"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"}} {"type":"message","id":"829b55f1","parentId":"bf961e66","timestamp":"2026-05-15T03:24:22.973Z","message":{"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}} {"type":"message","id":"faf3671a","parentId":"829b55f1","timestamp":"2026-05-15T03:24:24.252Z","message":{"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"}} {"type":"message","id":"ce4f71b9","parentId":"faf3671a","timestamp":"2026-05-15T03:24:24.348Z","message":{"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}} {"type":"message","id":"4d4b9817","parentId":"ce4f71b9","timestamp":"2026-05-15T03:24:31.347Z","message":{"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"}} {"type":"message","id":"b3fe5fb3","parentId":"4d4b9817","timestamp":"2026-05-15T03:24:31.413Z","message":{"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}} {"type":"message","id":"c298e234","parentId":"b3fe5fb3","timestamp":"2026-05-15T03:24:33.266Z","message":{"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"}} {"type":"message","id":"27effdc9","parentId":"c298e234","timestamp":"2026-05-15T03:24:33.369Z","message":{"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}} {"type":"message","id":"ba3ffa28","parentId":"27effdc9","timestamp":"2026-05-15T03:24:36.172Z","message":{"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"}} {"type":"message","id":"1bc84211","parentId":"ba3ffa28","timestamp":"2026-05-15T03:24:36.372Z","message":{"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}} {"type":"message","id":"1181fd91","parentId":"1bc84211","timestamp":"2026-05-15T03:24:39.198Z","message":{"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=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f 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"}} {"type":"message","id":"204b0792","parentId":"1181fd91","timestamp":"2026-05-15T03:24:46.125Z","message":{"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}} {"type":"message","id":"9da032b9","parentId":"204b0792","timestamp":"2026-05-15T03:24:46.125Z","message":{"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}} {"type":"message","id":"5e64eb81","parentId":"9da032b9","timestamp":"2026-05-15T03:24:52.445Z","message":{"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=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f 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"}} {"type":"message","id":"35ef03a1","parentId":"5e64eb81","timestamp":"2026-05-15T03:24:55.710Z","message":{"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}} {"type":"message","id":"9dd0979c","parentId":"35ef03a1","timestamp":"2026-05-15T03:24:59.301Z","message":{"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"}} {"type":"message","id":"b6bf7e8a","parentId":"9dd0979c","timestamp":"2026-05-15T03:25:00.234Z","message":{"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}} {"type":"message","id":"0b80302e","parentId":"b6bf7e8a","timestamp":"2026-05-15T03:25:04.332Z","message":{"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"}} {"type":"message","id":"b5f47469","parentId":"0b80302e","timestamp":"2026-05-15T03:25:05.374Z","message":{"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}} {"type":"message","id":"e51a6ce7","parentId":"b5f47469","timestamp":"2026-05-15T03:25:09.727Z","message":{"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"}} {"type":"message","id":"69816e8f","parentId":"e51a6ce7","timestamp":"2026-05-15T03:25:11.087Z","message":{"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}} {"type":"message","id":"2689b16a","parentId":"69816e8f","timestamp":"2026-05-15T03:25:15.346Z","message":{"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"}} {"type":"message","id":"d3fc838d","parentId":"2689b16a","timestamp":"2026-05-15T03:25:16.348Z","message":{"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}} {"type":"message","id":"67901936","parentId":"d3fc838d","timestamp":"2026-05-15T03:25:20.730Z","message":{"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"}}