Swarm Trace Browser

trace_c5e4_main_d4.json 主 agent · main turn d=4

● COMPLETED
Message Status
2
Workflows
50
Total Steps
26
Model Steps
24
Tool Steps
12.4 MB
Size
🔵 model step🟣 tool step

Step Timeline

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opensource-gpt-oss-20b-chat
finish_reason=stop · messages=2 · #0
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Reasoning
We need to give a concise title no more than 10 characters in Chinese, no more than 4-5 words in English. The conversation is Chinese. So Chinese title. Must be concise, distinctive, neutral or positive. Should reflect the content: user wants to produce AI daily article workflow, with hard requirements, and now wants a new article: "搜索今天最新的 AI 大模型". So title could be something like "AI大模型今日热搜". But must be <=10 characters. "AI大模型今日热搜" is 10 characters? Let's count: A(1) I(2) 大(3) 模(4) 型(5) 今(6) 日(7) 热(8) 搜(9). That's 9 characters. Good. Another possibility: "今日AI大模型热搜". Count: 今(1) 日(2) AI(3) 大(4) 模(5) 型(6) 热(7) 搜(8). 8 characters. Good. Must be Chinese. Provide JSON: {"title": "今日AI大模型热搜"}. Check requirement: no more than 10 characters. Good. Provide JSON.
Content
{"title":"今日AI大模型热搜"}
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=60 · #1
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Reasoning
We need respond to user request. Must create three files HTML, DOCX, PNG independent under /mnt/agents/output. Need use skills: docx for docx, possibly xlsx? no. Need read docx skill before creating docx. Need maybe webapp? no. Need search today's AI热点, maybe use provided subagent message plus web search. Need likely produce article and chart PNG using matplotlib with specified colors. Need maybe use deep-research? We already loaded deep-research but this task is article not 10k. But must use search depth. We have subagent message with many candidates. Need perhaps select topic: consumer textile AI Agent or LingBot-Depth 2. User specifically large model/funding/product launch. The most writeable: AI Agent开始织毛衣: financing, product, user sense, data. Or LingBot robot vision: model release with benchmark numbers. Need deliver three files and mention. Need maybe generate HTML inline styles no style tag. DOCX imported into WeChat (docx) with formatted content. Need create PNG chart independent. Need perhaps include chart in docx/html via relative path? For HTML browser direct, if references local image in same folder okay? User says independent PNG. HTML all inline style. Need maybe chart file saved /mnt/agents/output/ai_agent_textile_chart.png. HTML can embed relative path or base64? Since downloadable maybe better embed PNG as base64 in HTML so browser direct. But user requires independent PNG too. We'll save PNG and embed base64 in HTML. DOCX include same image maybe. Need read docx skill. Need todo. Need maybe use search verify sources. Need not use final excessive. Let's proceed with tools.
Tool Calls
[ { "function": { "arguments": "{}", "name": "mshtools-todo_read" }, "id": "mshtools-todo_read_29", "index": 0, "type": "function" } ]
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unknown
tool execution · #2
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=62 · #3
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Reasoning
Need update todos for new task. Need maybe read docx skill. Also maybe need maybe deep-research? Already read, but if current task requires research. Since skill loaded already. Need maybe read docx skill before artifact. Use todo_write replacing or adding new tasks. Need ensure one in progress.
Tool Calls
[ { "function": { "arguments": "{\"todos\":[{\"id\": \"t6\", \"content\": \"搜索并核实今日 AI 大模型/融资/产品发布热点\", \"priority\": \"high\", \"status\": \"in_progress\"}, {\"id\": \"t7\", \"content\": \"选择适合公众号的选题并拟定 3 个标题\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t8\", \"content\": \"生成白底金色风格 PNG 图表\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t9\", \"content\": \"制作 inline-style HTML 预览文件\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t10\", \"content\": \"制作可导入公众号的 DOCX 文件\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t11\", \"content\": \"检查文件、格式与引用后交付\", \"priority\": \"medium\", \"status\": \"pending\"}]}", "name": "mshtools-todo_write" }, "id": "mshtools-todo_write_30", "index": 0, "type": "function" } ]
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unknown
tool execution · #4
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=64 · #5
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Reasoning
Need research. User provided subagent message, but must search latest. Need gather sources. Search web for specific topics: Jiqizhixin articles, perhaps 36kr financing, product releases. Need current date 2026-07-07. Use web_search/browser. Need maybe sources. Let's search multiple.
Tool Calls
[ { "function": { "arguments": "{\"queries\":[\"2026年7月7日 AI 大模型 融资 产品发布 机器之心 量子位 36氪 新浪科技 腾讯科技\", \"site:jiqizhixin.com/articles/2026-07-07 AI Agent 融资 产品 发布 大模型\", \"site:qbitai.com/2026/07 2026-07-07 AI 融资 产品发布 大模型\", \"site:36kr.com/p 2026年07月07日 AI 融资 大模型 产品\"]}", "name": "mshtools-web_search" }, "id": "mshtools-web_search_31", "index": 0, "type": "function" } ]
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unknown
tool execution · #6
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=66 · #7
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Reasoning
Search result gives many. User wants today's latest AI大模型/融资/产品发布. Today 2026-07-07, but search not much. Subagent gave Jiqizhixin today. Need decide topic. They say 换个话题 from previous Claude. We can write about LingBot-Depth 2.0 or textile AI Agent or Skill-Omni. Requirements: financing/product launch. Candidate: LingBot-Depth 2.0 is model/product launch, lots of data, robot user sense. Textile AI Agent has funding and product, but more consumer sense and numbers. Maybe best: Need produce files. But first read docx skill. Also maybe create docx with python-docx or maybe C#+OpenXML? Need inspect skill instructions. Use read_file.
Tool Calls
[ { "function": { "arguments": "{\"file_path\":\"/app/.agents/skills/docx/SKILL.md\",\"limit\":1000}", "name": "mshtools-read_file" }, "id": "mshtools-read_file_32", "index": 0, "type": "function" } ]
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unknown
tool execution · #8
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=68 · #9
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Reasoning
Need if creating from scratch use OpenXML reference. Need read relevant. Could perhaps use python-docx? Skill says no python-docx unless WIR failure. Since no existing docx, create with C# + OpenXML SDK via scripts/docx build. Need read openxml reference. Maybe could use pandoc? no. Need follow. But may be time. Let's inspect references openxml and perhaps example. Also need maybe maybe use docx skill not possible because no create_subagent. Need C#. Let's read relevant reference maybe less than 1000 lines.
Tool Calls
[ { "function": { "arguments": "{\"file_path\":\"/app/.agents/skills/docx/references/openxml-sdk-reference.md\",\"limit\":1000}", "name": "mshtools-read_file" }, "id": "mshtools-read_file_33", "index": 0, "type": "function" } ]
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unknown
tool execution · #10
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=70 · #11
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Reasoning
Need read CJK example perhaps. Use shell maybe cat. Need maybe output code. Let's read maybe 200 lines.
Tool Calls
[ { "function": { "arguments": "{\"file_path\":\"/app/.agents/skills/docx/assets/templates/CJKExample.cs\",\"limit\":1000}", "name": "mshtools-read_file" }, "id": "mshtools-read_file_34", "index": 0, "type": "function" } ]
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unknown
tool execution · #12
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=72 · #13
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Reasoning
Need maybe we can implement simpler OpenXML using Python generating Program.cs in /mnt/agents/output/docxwork? Need know scripts/docx build expects Program.cs maybe current dir? Let's inspect /app/.agents/skills/docx/scripts/docx. Use shell maybe.
Tool Calls
[ { "function": { "arguments": "{\"command\":\"cd /app/.agents/skills/docx && ls -l scripts && sed -n '1,220p' scripts/docx\",\"description\":\"Inspect docx build script\"}", "name": "mshtools-shell" }, "id": "mshtools-shell_35", "index": 0, "type": "function" } ]
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unknown
tool execution · #14
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=74 · #15
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Reasoning
Need more build behavior.
Tool Calls
[ { "function": { "arguments": "{\"command\":\"cd /app/.agents/skills/docx && sed -n '220,520p' scripts/docx\",\"description\":\"Inspect rest of docx build script\"}", "name": "mshtools-shell" }, "id": "mshtools-shell_36", "index": 0, "type": "function" } ]
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unknown
tool execution · #16
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=76 · #17
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Reasoning
Need maybe maybe use /tmp/docx-work Program.cs. We can write Program.cs (new file allowed? Not user explicitly asks DOCX, so okay create output and temp maybe /tmp). Need maybe create chart PNG via matplotlib. Need maybe create HTML file via write_file (new file explicitly requested). Need maybe use Python to generate chart and HTML (and maybe Program.cs). Need create docx with C# build. Could use Python-docx despite skill? Better not. Need maybe use C# code. We can craft Program.cs. Maybe need include image. Could use OpenXML direct. Need compile. We'll do shell cat > /tmp/docx-work/Program.cs? write_file can create file? It says prefer not create new unless explicitly required. Program.cs temp for docx required; okay. Use shell to write might be easier. But write_file can write absolute path. Need if file exists must read first. We can use shell with heredoc. Tool policy only for write_file not shell. But maybe okay. However use shell for temporary code maybe. Need maybe create Python script in /tmp? We can use IPython code to create chart and HTML maybe simpler. Need perhaps write file. For existing file? New. Good. For Program.cs use shell cat. Need run docx init first. Need maybe read existing /tmp/docx-work/Program.cs before overwriting? With shell not required, but maybe avoid. Need run docx init. Then overwrite. Need maybe if /tmp has template. Let's run init.
Tool Calls
[ { "function": { "arguments": "{\"command\":\"cd /app/.agents/skills/docx && ./scripts/docx init\",\"description\":\"Initialize DOCX build workspace\",\"timeout\":600000}", "name": "mshtools-shell" }, "id": "mshtools-shell_37", "index": 0, "type": "function" } ]
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unknown
tool execution · #18
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=78 · #19
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Reasoning
Need conduct research and verify topic. Let's visit Jiqizhixin article. Also maybe article details from subagent. Use browser visit for source. Maybe not accessible? Let's visit LingBot and textile.
Tool Calls
[ { "function": { "arguments": "{\"url\":\"https://www.jiqizhixin.com/articles/2026-07-07-2\"}", "name": "mshtools-browser_visit" }, "id": "mshtools-browser_visit_38", "index": 0, "type": "function" }, { "function": { "arguments": "{\"url\":\"https://www.jiqizhixin.com/articles/2026-07-07-6\"}", "name": "mshtools-browser_visit" }, "id": "mshtools-browser_visit_39", "index": 1, "type": "function" }, { "function": { "arguments": "{\"url\":\"https://www.qbitai.com/2026/07/445229.html\"}", "name": "mshtools-browser_visit" }, "id": "mshtools-browser_visit_40", "index": 2, "type": "function" } ]
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unknown
tool execution · #20
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=82 · #21
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Reasoning
One tool failed maybe qbitai due inaccessible? We have enough. Could also search for Skill-Omni if needed but we likely choose textile. Need maybe source from Jiqizhixin only, perhaps need 36kr? But topic is from Jiqizhixin/硬氪 (reposted). Need perhaps original hard氪? Search. Use web_search.
Tool Calls
[ { "function": { "arguments": "{\"queries\":[\"浪爪智能 消费级纺织机 红杉 顺为 米哈游 数亿元融资 2026 7月7日 硬氪\", \"CLAWLAB 浪爪智能 纺织 AI Agent 数亿元融资 红杉 顺为 米哈游\", \"前大疆员工 消费级纺织机 浪爪智能 数亿元融资 机器之心\"]}", "name": "mshtools-web_search" }, "id": "mshtools-web_search_41", "index": 0, "type": "function" } ]
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unknown
tool execution · #22
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=84 · #23
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Reasoning
Need maybe use 36kr source. Good. Need perhaps choose textile. We need create chart: maybe bars for numbers: 3 years underwater, 数亿元融资, 近亿元 revenue, 5-10 years traditional training, minutes AI Agent, 1.5 years to first reliable workflow, >1亿 potential users, 9亿 小红书, 30亿 related, 2000亿 TikTok. Need chart white/gold. Could make chart with key numbers maybe log scale for social traffic because huge range. Or create simple infographic: AI Agent把制版从5-10年训练/几天工作压到几分钟; financing/validation. User says 图表用白底金色 matplotlib, so at least one chart. Need independent PNG. Use matplotlib with colors exact. Use Chinese fonts? System says Chinese fonts already imported; do not modify font family rcParams? In ipython says Chinese fonts already imported; do not modify font.family, axes.unicode_minus, font.sans-serif. Use default. But if using shell maybe fonts may be missing. Use IPython with matplotlib. Need not modify rcParams font family. We can set text colors, backgrounds. Maybe use bar chart with 5 metrics on log scale: 融资轮次? Better chart visually:
Tool Calls
[ { "function": { "arguments": "{\"todos\":[{\"id\": \"t6\", \"content\": \"搜索并核实今日 AI 大模型/融资/产品发布热点\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"选择适合公众号的选题并拟定 3 个标题\", \"priority\": \"high\", \"status\": \"in_progress\"}, {\"id\": \"t8\", \"content\": \"生成白底金色风格 PNG 图表\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t9\", \"content\": \"制作 inline-style HTML 预览文件\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t10\", \"content\": \"制作可导入公众号的 DOCX 文件\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t11\", \"content\": \"检查文件、格式与引用后交付\", \"priority\": \"medium\", \"status\": \"pending\"}]}", "name": "mshtools-todo_write" }, "id": "mshtools-todo_write_42", "index": 0, "type": "function" } ]
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unknown
tool execution · #24
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=86 · #25
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Reasoning
Need produce article content. Let's design title options: 13-25 Chinese characters and contains at least two of 数字/悬念/情绪词. Need check length. 1) “数亿融资后,AI开始织毛衣了” length: 数(1)亿2融3资4后5, punctuation maybe not count, AI? 2 letters maybe 2, 开始 etc total maybe 14; contains 数字(数亿), 悬念/情绪? '了' no, maybe no emotion. Could use “数亿融资后,AI真要织毛衣了?” has 数字+悬念. 13? good. 2) “3年潜伏,AI把毛衣织成新生意” contains 数字, 情绪? new business not. 3) “从5年到5分钟,AI让人惊了” maybe. Need all 13-25 chars. Title final maybe “数亿融资后,AI真要织毛衣了?” Contains 数字 and 悬念. Article itself first-person, short paragraphs, opening 200 chars grab. Need create deliverables. Need maybe include 3备选标题 in article and final. The actual HTML should include title options. For WeChat, maybe title area plus article. Need can directly copy. HTML inline styles. Need no style tag. Need base64 image. Need source links maybe in HTML. Need DOCX content perhaps same, maybe not with inline styles but Word formatting. Need maybe HTML all styles inline. Need maybe no CSS. Need maybe create HTML via Python. Need maybe use Chinese fonts? Inline style includes font-family? okay inline allowed. Need maybe no style tag. Need maybe image caption one sentence insight. Only one PNG image inserted with caption.
Tool Calls
[ { "function": { "arguments": "{\"todos\":[{\"id\": \"t6\", \"content\": \"搜索并核实今日 AI 大模型/融资/产品发布热点\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"选择适合公众号的选题并拟定 3 个标题\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t8\", \"content\": \"生成白底金色风格 PNG 图表\", \"priority\": \"high\", \"status\": \"in_progress\"}, {\"id\": \"t9\", \"content\": \"制作 inline-style HTML 预览文件\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t10\", \"content\": \"制作可导入公众号的 DOCX 文件\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t11\", \"content\": \"检查文件、格式与引用后交付\", \"priority\": \"medium\", \"status\": \"pending\"}]}", "name": "mshtools-todo_write" }, "id": "mshtools-todo_write_43", "index": 0, "type": "function" } ]
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unknown
tool execution · #26
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=88 · #27
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Reasoning
Need generate chart PNG. Use IPython. Need maybe also create cover? User requires independent PNG, probably chart image only. We can create one PNG /mnt/agents/output/ai_textile_agent_chart.png. Need white/gold style. Chart idea: title: “AI纺织Agent:把‘经验门槛’压成‘分钟级流程’”. Metrics: 制版师傅训练 5-10年, 传统制版工作 几天, AI流程 几分钟, 首款簇绒枪两年营收 近亿元, 社媒热度: 小红书相关话题 30亿+, TikTok 2000亿+观看. Hard to put different units in one chart. Better create infographic with 4 cards using matplotlib not chart? User says 图表用 matplotlib. It can be visual. White background, gold numbers. Maybe with horizontal bars for “门槛压缩” using approximate hours: 5 years training (43800h), 3 days (72h), 5 minutes (0.083h) log scale, plus annotation of 融资/营收. But log bar may be complicated. Maybe chart: left: “从经验到分钟” log scale; right: “市场信号” vertical bars. Need one PNG with two panels. Ensure no overlap. Use exact colors. Use barh with log scale for hours: 制版训练下限5年=43800h, 传统制版=72h, AI Agent流程=0.083h. Use text labels. Market signals: 营收近1亿, 小红书9亿, 小红书相关30亿, TikTok2000亿 (unit: 次/元 not same but chart label '曝光/营收规模(亿级口径)' maybe not accurate mix money/views. Better not mix money and views. Use market signals separate: social热度(亿次阅读/观看): 小红书织女9, 小红书钩针相关30, TikTok crochet2000. Revenue callout. The chart can be titled. Use GOLD for AI/new and COMPETITOR for traditional. Need use exact colors. Could use Chinese labels. Let's do with matplotlib; perhaps font supports Chinese. Need not modify rcParams. Use fig facecolor BG, axes facecolor BG. Save PNG high dpi. Need maybe create at 1200x675 or 1200x800. Use constrained layout. Let's run.
Tool Calls
[ { "function": { "arguments": "{\"code\":\"import matplotlib.pyplot as plt\\nimport numpy as np\\nfrom pathlib import Path\\n\\nBG = '#FFFFFF'\\nGOLD = '#B8860B'\\nCOMPETITOR = '#B0B0B0'\\nTEXT = '#1A1A1A'\\nGRID = '#E0E0E0'\\n\\nout = Path('/mnt/agents/output/ai_textile_agent_chart.png')\\nout.parent.mkdir(parents=True, exist_ok=True)\\n\\nfig = plt.figure(figsize=(12, 7.2), dpi=180, facecolor=BG)\\ngs = fig.add_gridspec(2, 2, height_ratios=[0.34, 1], width_ratios=[1.05, 1], hspace=0.36, wspace=0.22)\\n\\n# Header panel\\nax0 = fig.add_subplot(gs[0, :])\\nax0.set_facecolor(BG)\\nax0.axis('off')\\nax0.text(0.02, 0.78, 'AI 纺织 Agent:把“经验门槛”压成“分钟级流程”', fontsize=22, fontweight='bold', color=TEXT, transform=ax0.transAxes)\\nax0.text(0.02, 0.34, '浪爪智能的关键不是“机器会织”,而是把用户意图、制版算法和桌面织造设备连成闭环。', fontsize=12.5, color=TEXT, transform=ax0.transAxes)\\nax0.add_patch(plt.Rectangle((0.02, 0.08), 0.22, 0.06, color=GOLD, transform=ax0.transAxes))\\n\\n# Left chart: threshold compression\\nax1 = fig.add_subplot(gs[1, 0])\\nax1.set_facecolor(BG)\\nlabels = ['制版师傅训练\\\\n(5年下限)', '传统制版工作\\\\n(约3天)', 'AI Agent流程\\\\n(约5分钟)']\\nhours = [5*365*24, 3*24, 5/60]\\ncolors = [COMPETITOR, COMPETITOR, GOLD]\\ny = np.arange(len(labels))\\nax1.barh(y, hours, color=colors, height=0.56)\\nax1.set_xscale('log')\\nax1.set_yticks(y)\\nax1.set_yticklabels(labels, fontsize=10.5, color=TEXT)\\nax1.invert_yaxis()\\nax1.set_title('门槛压缩:从“年/天”到“分钟”', fontsize=14, fontweight='bold', color=TEXT, loc='left', pad=12)\\nax1.set_xlabel('折算耗时(小时,对数刻度)', fontsize=10.5, color=TEXT)\\nax1.grid(axis='x', color=GRID, linewidth=0.8, alpha=0.9)\\nax1.spines[['top','right','left']].set_visible(False)\\nax1.spines['bottom'].set_color(GRID)\\nfor i, v in enumerate(hours):\\n if v >= 1000:\\n txt = '约 43,800 小时'\\n elif v >= 1:\\n txt = '约 72 小时'\\n else:\\n txt = '约 5 分钟'\\n ax1.text(v*1.15, i, txt, va='center', fontsize=10.5, color=TEXT, fontweight='bold' if i==2 else 'normal')\\n\\n# Right chart: social heat signals\\nax2 = fig.add_subplot(gs[1, 1])\\nax2.set_facecolor(BG)\\nlabels2 = ['小红书\\\\n“织女”', '小红书\\\\n钩针相关', 'TikTok\\\\ncrochet']\\nvals = [9, 30, 2000]\\ncolors2 = [GOLD if i == 2 else COMPETITOR for i in range(3)]\\nx = np.arange(len(labels2))\\nax2.bar(x, vals, color=colors2, width=0.55)\\nax2.set_yscale('log')\\nax2.set_xticks(x)\\nax2.set_xticklabels(labels2, fontsize=10.5, color=TEXT)\\nax2.set_title('水下需求:手工编织内容很热', fontsize=14, fontweight='bold', color=TEXT, loc='left', pad=12)\\nax2.set_ylabel('阅读/观看量(亿次,对数刻度)', fontsize=10.5, color=TEXT)\\nax2.grid(axis='y', color=GRID, linewidth=0.8, alpha=0.9)\\nax2.spines[['top','right','left']].set_visible(False)\\nax2.spines['bottom'].set_color(GRID)\\nfor i, v in enumerate(vals):\\n label = f'{v}亿+' if v < 1000 else '2000亿+'\\n ax2.text(i, v*1.18, label, ha='center', va='bottom', fontsize=10.5, color=TEXT, fontweight='bold' if i==2 else 'normal')\\n\\n# Callout box\\nax2.text(0.03, 0.88, '融资信号:数亿元\\\\n产品验证:首款簇绒枪\\\\n两年营收近亿元', transform=ax2.transAxes,\\n fontsize=10.2, color=TEXT, va='top', ha='left',\\n bbox=dict(boxstyle='round,pad=0.45', facecolor=BG, edgecolor=GOLD, linewidth=1.2))\\n\\nfig.text(0.02, 0.025, '数据来自 36氪/硬氪、机器之心与新浪科技 2026-07-07 报道;图中部分“几天/几分钟”按报道口径折算。', fontsize=8.5, color=TEXT)\\nfig.savefig(out, bbox_inches='tight', facecolor=BG)\\nplt.close(fig)\\nstr(out), out.exists(), out.stat().st_size\"}", "name": "mshtools-ipython" }, "id": "mshtools-ipython_44", "index": 0, "type": "function" } ]
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unknown
tool execution · #28
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=90 · #29
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Reasoning
Need maybe verify image visually maybe read file. Use read_file maybe image.
Tool Calls
[ { "function": { "arguments": "{\"file_path\":\"/mnt/agents/output/ai_textile_agent_chart.png\"}", "name": "mshtools-read_file" }, "id": "mshtools-read_file_45", "index": 0, "type": "function" } ]
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unknown
tool execution · #30
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=92 · #31
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Reasoning
Looks good but the log axis right bars start from maybe 1 and y tick labels 10^1 etc; 9亿 bar below 10? okay. Need maybe caption in article: “这张图真正说明的是:AI不是替代纺织,而是把经验门槛打碎。” Good. Need create article. Need HTML with inline styles, no style tag. We can use Python generate HTML file with base64 image. Need maybe include 3 titles at top. Need article maybe ~2200 Chinese chars. Should be direct copy to WeChat. Need include all facts. Need ensure citations/sources in article maybe sources at end. Since final deliverable has files. Need maybe use first person, short paragraphs, opening <200 Chinese chars. Need include candidate topics? Could include inside? User wants出一篇推文. But maybe include selected topic and files. Maybe HTML includes only article. Need maybe include title options before article; WeChat copy can remove. But requirement says every article 3 alt titles; include at top in HTML/DOCX. Good. Need choose title. 3备选 titles 13-25 chars and contain at least two: 1. 数亿融资后,AI真要织毛衣了? Count maybe 15, includes 数字(数亿), 悬念(?/真要) 2. 3年潜伏,AI把毛衣织成新生意 (3年 number, 新 maybe emotional? not exactly; maybe “新生意” has tension? Better “3年潜伏,AI把冷门织热了” includes 数字+情绪“热了”. length 14. 从5年到5分钟,AI让人惊了 (numbers, 惊了 emotion). length maybe 13. Need maybe article title final: “数亿融资后,AI真要织毛衣了?” good. Article outline: - Title options block - Opening: 今天看到这条,我第一反应不是“AI又会写作文了”,而是“AI终于开始碰真实世界的麻烦了”。浪爪智能做家用纺织机,红杉/顺为/米哈游数亿融资。原因不是机器会织,而是 AI Agent 把5-10年制版经验、几天工作压到几分钟。 - Fact: 36氪/硬氪/机器之心/新浪科技 7/7报道,浪爪成立2022年12月,连续数轮超亿元/数亿元融资; 首款自动簇绒枪2024推出,两年近亿元营收; Station平台,新款桌面级编织产品 and community. - Why interesting: AI Agent going from screen to atoms. We used to talk AI write copy, now it controls yarn tension/motion. This is vertical model in physical process. - Explain pain: traditional knitting has dynamic control: yarn tension, needle movement, patterns; no open-source data. Need almost 3 years to break into programmable algorithms, 1.5 years to first reliable process. - Product experience: upload image / natural language; AI Agent parse style and generate machine-knittable plan; no need know stitches; scarf, doll clothes, pet accessories, plush. This turns user intent into physical output. - Chart caption. - My view: This is not 3D printing clone; it is “small flexible manufacturing” at home. Why capital likes: content community, small B, custom gift, emotional consumption. But risk: hardware consumer is hard; materials/tension/after-sales/community; price; success rate. - Action advice: For creators: watch vertical AI Agent that enters physical workflow; for brands: prepare customized goods; for users: don't ask if AI can draw, ask if AI can finish closed loop. - Conclusion: AI's next battlefield isn't more like human chat, but make one real thing less hard. AI knitting sweater sounds cute, but it's AI entering physical world. - Sources. Need no external images except chart. Need maybe HTML inline style. Use base64 image. Need maybe in DOCX include chart. Need maybe if user imports DOCX to公众号, Word formatting maybe okay. Need maybe HTML for preview. Need create HTML with inline style. Could use python. Need use write_file? We'll generate in IPython with Path.write_text. Is that okay? Yes. Need maybe not expose implementation. Need create DOCX. For DOCX, use OpenXML. Need perhaps produce a simpler docx with title, headings, paragraphs, image, source. We can create Program.cs. Need maybe no cover/backcover? Since WeChat import docx, not formal report; no need cover. But docx skill says headers footers default. We'll create document with styles, header/footer, inline image. Need validation. Use C# with no cover. Need maybe include page header/footer? Article docx doesn't need, but quality checklist says headers footers. Add header “AI热点推文|2026-07-07” and footer page. Need image count. Need no footnotes maybe. Use source lines as paragraphs. Need no TOC. OpenXML validation. Could maybe build one section. We need write Program.cs. Need perhaps include all content as paragrap ... [2363 chars truncated]
Tool Calls
[ { "function": { "arguments": "{\"todos\":[{\"id\": \"t6\", \"content\": \"搜索并核实今日 AI 大模型/融资/产品发布热点\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"选择适合公众号的选题并拟定 3 个标题\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t8\", \"content\": \"生成白底金色风格 PNG 图表\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t9\", \"content\": \"制作 inline-style HTML 预览文件\", \"priority\": \"high\", \"status\": \"in_progress\"}, {\"id\": \"t10\", \"content\": \"制作可导入公众号的 DOCX 文件\", \"priority\": \"high\", \"status\": \"pending\"}, {\"id\": \"t11\", \"content\": \"检查文件、格式与引用后交付\", \"priority\": \"medium\", \"status\": \"pending\"}]}", "name": "mshtools-todo_write" }, "id": "mshtools-todo_write_46", "index": 0, "type": "function" } ]
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unknown
tool execution · #32
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=94 · #33
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Reasoning
Need maybe create HTML. Use IPython. Need maybe include all paragraphs. Let's draft content. Need maybe same for docx. We'll define article in Python maybe also use for Program? Could write separate. Let's generate HTML. Need maybe include source details. Need maybe no bullet? Good. Need maybe title options in HTML. Need maybe source citation names; include dates. Need maybe output file path /mnt/agents/output/ai_textile_agent_wechat.html. Need ensure no style tag. Use base64. Let's do.
Tool Calls
[ { "function": { "arguments": "{\"code\":\"from pathlib import Path\\nimport base64, html\\n\\nhtml_path = Path('/mnt/agents/output/ai_textile_agent_wechat.html')\\nimg_path = Path('/mnt/agents/output/ai_textile_agent_chart.png')\\nimg_b64 = base64.b64encode(img_path.read_bytes()).decode('ascii')\\n\\ntitle = '数亿融资后,AI真要织毛衣了?'\\ntitles = [\\n '数亿融资后,AI真要织毛衣了?',\\n '3年潜伏,AI把冷门织热了',\\n '从5年到5分钟,AI让人惊了'\\n]\\n\\nsections = [\\n ('opening', [\\n '今天看到这条新闻,我第一反应不是“AI 又会写 PPT 了”。',\\n '而是:AI 终于开始碰真实世界里的麻烦了。',\\n '一个前大疆背景团队,做了台消费级纺织机,拿了红杉、顺为、米哈游等机构的数亿元融资。听起来很冷门,但我觉得,这可能是 AI Agent 走向物理世界的一个很有代表性的信号。'\\n ]),\\n ('h2', '这次不是“AI 画画”,是“AI 造物”'),\\n ('paras', [\\n '36氪/硬氪、机器之心和新浪科技今天都报道了浪爪智能(CLAWLAB)。这家公司成立于 2022 年 12 月,过去几年连续完成数轮超亿元融资,投资方包括红杉、顺为资本、元璟资本、米哈游等。',\\n '它做的事情,说白了很朴素:让普通人也能把脑子里的图案,变成一条围巾、一件娃衣、一个宠物配饰,甚至一个小型毛绒制品。',\\n '但真正值得看的,不是“纺织机”这三个字。',\\n '而是它背后那套纺织 AI Agent。'\\n ]),\\n ('h2', '为什么说这事有料?因为它解决的是“经验门槛”'),\\n ('paras', [\\n '传统编织最难的地方,不是买几团毛线。',\\n '难的是制版、针法、张力、走位、材料差异。一个合格制版师傅,往往需要 5 到 10 年训练。一个复杂设计,从理解图案到变成可织造方案,可能要几天。',\\n '浪爪智能的做法,是把这些经验拆成算法。',\\n '用户上传图片,或者用自然语言描述想要的东西,AI Agent 会自动解析织物风格、提取特征,再生成机器可以执行的编织方案。报道里说,传统制版师几天的工作,在这个一站式纺织 Station 里可以被压缩到几分钟。',\\n '这句话很关键。',\\n '因为它说明 AI 不只是在“生成内容”,而是在把人的意图翻译成物理世界可执行的步骤。'\\n ]),\\n ('image', ''),\\n ('h2', '我更看重它背后的一个变化:Agent 开始从屏幕里走出来了'),\\n ('paras', [\\n '过去两年,我们聊 AI Agent,很多时候还是停留在屏幕里。',\\n '帮你写邮件、做表格、查资料、生成图片、剪视频。',\\n '这些都重要,但本质上还是数字世界里的效率工具。',\\n '纺织这件事不一样。纱线会打滑,张力会变化,材料有弹性,针法有时序,任何一个细节错了,成品就可能报废。',\\n '这不是一个“回答得像不像”的问题。',\\n '这是一个“东西最后能不能做出来”的问题。',\\n '所以我会把浪爪智能看成一个信号:AI Agent 的下一阶段,不只是更会聊天,而是能进入更多垂直行业的真实流程。'\\n ]),\\n ('h2', '资本为什么愿意押一个“冷门赛道”?'),\\n ('paras', [\\n '因为冷门不等于小。',\\n '报道里提到,纺织 DIY 在全球有上亿潜在人群。小红书上,“织女”相关话题阅读量近 9 亿,钩针编织、手工钩织等相关话题总流量超 30 亿;TikTok 上 crochet 标签观看次数超过 2000 亿。',\\n '这说明什么?',\\n '需求不是被凭空创造出来的。很多人本来就想做一点“属于自己的东西”。只是过去门槛太高,时间太长,失败率太高。',\\n '如果 AI 能把“想做”变成“能做”,这个需求就可能被重新激活。',\\n '这也是为什么首款自动簇绒枪虽然只是海外小规模验证工具,两年累计营收也能接近亿元。资本押的不是一台机器,而是一个“桌面级柔性制造”的入口。'\\n ]),\\n ('h2', '但我也不会盲目乐观'),\\n ('paras', [\\n '这类产品最难的地方,恰恰也在硬件。',\\n '软件 demo 可以很惊艳,但消费级硬件要面对的是另一组问题:价格能不能接受?不同毛线适配得怎么样?新手失败率高不高?售后怎么解决?社区内容能不能持续?',\\n '尤其是纺织这种材料强相关的场景,用户不是点个按钮就万事大吉。',\\n '所以我对它的判断是:方向很有意思,壁垒也很真实,但最后能不能成为大众产品,还要看正式产品上市后的良品率、学习成本和价格带。',\\n '换句话说,故事已经到了“从实验室走向客厅”的关键一步。'\\n ]),\\n ('h2', '这件事给普通人的启发'),\\n ('paras', [\\n '我觉得有三点。',\\n '第一,别只盯着通用大模型。真正有价值的 AI,可能会藏在非常具体的行业里,比如纺织、维修、护理、制造、餐饮。',\\n '第二,判断一个 AI 产品有没有价值,不要只看它会不会生成内容,要看它能不能完成闭环。能不能从“我想要”走到“我拿到”。',\\n '第三,未来很多“手作”和“定制”会重新变热。不是因为大家突然都变专业了,而是 AI 把专业门槛拆掉了。'\\n ]),\\n ('h2', '我的结论'),\\n ('paras', [\\n '浪爪智能这条新闻,表面看是“AI 织毛衣”。',\\n '但本质上是:AI 开始把数字意图变成真实物品。',\\n '这比单纯生成一张图更难,也更有想象力。',\\n '如果说上一轮 AI 改变的是内容生产,下一轮更值得关注的,可能就是 AI 改变小批量制造。',\\n '当 AI 不只会写、会画,还会控制机器把一根线织成一件东西时,它离我们的生活就又近了一步。'\\n ]),\\n ('h2', '信息来源'),\\n ('sources', [\\n '36氪/硬氪:《前大疆员工做了款消费级纺织机,拿下红杉、顺为、米哈游等数亿融资|产品观察》,2026-07-07。',\\n '机器之心:《蛰伏三年,前大疆员工做了款消费级纺织机,拿下红杉、顺为、米哈游等数亿融资|产品观察》,2026-07-07。',\\n '新浪科技转载机器之心相关报道,2026-07-07。'\\n ])\\n]\\n\\nparts = []\\nparts.append(f'''<!DOCTYPE html>\\n<html lang=\\\"zh-CN\\\">\\n<head>\\n<meta charset=\\\"utf-8\\\">\\n<meta name=\\\"viewport\\\" content=\\\"width=device-width, initial-scale=1\\\">\\n<title>{html.escape(title)}</title>\\n</head>\\n<body style=\\\"margin:0; padding:0; background:#F7F4EF; color:#1A1A1A; font-family:-apple-system,BlinkMacSystemFont,'Segoe UI','PingFang SC','Hiragino Sans GB','Microsoft YaHei',Arial,sans-serif;\\\">\\n<main style=\\\"max-width:760px; margin:0 auto; padding:28px 14px 56px 14px; background:#F7F4EF;\\\">\\n<article style=\\\"background:#FFFFFF; border-radius:18px; padding:30px 24px 42px 24px; box-shadow ... [2987 chars truncated]
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unknown
tool execution · #34
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=97 · #35
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Reasoning
Need subagent message arrived, but already selected textile. Need maybe update not necessary. Need maybe continue create DOCX. Need maybe mention if final no. Need create Program.cs. Could maybe use the same article paragraphs. Need maybe use shell cat for Program.cs. But easier use Python to generate C# string to file with article arrays? Need use Python writing /tmp/docx-work/Program.cs. Need maybe if file exists, writing over existing with Python is okay? Could use IPython. Need maybe no read. It's okay? Fine. Need create C# with content manually. Need maybe avoid C# syntax issues with quotes. Use verbatim string? Could create arrays with @
Tool Calls
[ { "function": { "arguments": "{\"todos\":[{\"id\": \"t6\", \"content\": \"搜索并核实今日 AI 大模型/融资/产品发布热点\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"选择适合公众号的选题并拟定 3 个标题\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t8\", \"content\": \"生成白底金色风格 PNG 图表\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t9\", \"content\": \"制作 inline-style HTML 预览文件\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t10\", \"content\": \"制作可导入公众号的 DOCX 文件\", \"priority\": \"high\", \"status\": \"in_progress\"}, {\"id\": \"t11\", \"content\": \"检查文件、格式与引用后交付\", \"priority\": \"medium\", \"status\": \"pending\"}]}", "name": "mshtools-todo_write" }, "id": "mshtools-todo_write_48", "index": 0, "type": "function" } ]
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unknown
tool execution · #36
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=99 · #37
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Reasoning
Need prepare Program.cs. Let's use Python triple quote to write C# code. Need maybe easier use string arrays in C# for content. Need OpenXML helper functions. Need maybe include `using System; using System.IO; using System.Linq;` maybe not necessary but for Linq. Need compile. Need maybe add table for title options. We can use simple paragraphs. Need docx content not necessarily styled inline for WeChat but formatted. Maybe use headings and body. Need maybe include image. Need maybe maybe not create hyperlinks. Need maybe code uses `WordprocessingDocument.Create(outputFile...)`. Need maybe functions: - RPr(size, color, bold=false) returns new RunProperties each time. EastAsia font. - P(text, style = null, bold=false, color, size, align, indentFirst=true) creates Paragraph. For body, set ParagraphProperties spacing after=160 line=360; Indentation firstline=480. For no indent, firstline 0. For h1/h2 no indent. Use properties. - AddTitleOptions. Maybe shading block via one-column table? Use paragraphs in table. For docx, maybe table with title options. - AddInlineImage from reference. Need add caption. - AddSourceBlock. - Header/footer. Potential issue: Setting default style doesn't set theme? Fine. Need maybe include final section props. Need maybe if body has direct SectionProperties after content. Good. Need maybe add footer field; code maybe simple not total pages. Need maybe add image part path /mnt/agents/output/ai_textile_agent_chart.png. Need maybe add image with width 15 cm. Good. Need maybe add document settings. Need maybe add styles. Need perhaps Chinese font. Need maybe create title options 3 paragraphs. Need maybe we can include exact article. Need maybe source links as text. Need maybe all paragraphs. Need maybe shorten? Fine. Let's craft C# code via Python. Must ensure no C# comments? Fine. Avoid Chinese in syntax positions. Chinese text inside quotes. ASCII double quotes inside Chinese text? We have “AI 又会写 PPT 了” curly quotes, no ASCII.
Tool Calls
[ { "function": { "arguments": "{\"code\":\"from pathlib import Path\\nprogram = r'''\\nusing DocumentFormat.OpenXml;\\nusing DocumentFormat.OpenXml.Packaging;\\nusing DocumentFormat.OpenXml.Wordprocessing;\\nusing DW = DocumentFormat.OpenXml.Drawing.Wordprocessing;\\nusing A = DocumentFormat.OpenXml.Drawing;\\nusing PIC = DocumentFormat.OpenXml.Drawing.Pictures;\\n\\nstring outputFile = args.Length > 0 ? args[0] : \\\"/mnt/agents/output/ai_textile_agent_wechat.docx\\\";\\nstring imagePath = \\\"/mnt/agents/output/ai_textile_agent_chart.png\\\";\\n\\nusing var doc = WordprocessingDocument.Create(outputFile, WordprocessingDocumentType.Document);\\nvar mainPart = doc.AddMainDocumentPart();\\nmainPart.Document = new Document(new Body());\\nvar body = mainPart.Document.Body!;\\n\\nAddStyles(mainPart);\\nvar headerId = AddHeader(mainPart);\\nvar footerId = AddFooter(mainPart);\\nuint docPrId = 1;\\n\\nbody.Append(Title(\\\"数亿融资后,AI真要织毛衣了?\\\"));\\nbody.Append(Meta(\\\"AI 热点日更|2026-07-07\\\"));\\nAddTitleOptions(body);\\n\\nbody.Append(Callout(\\\"今天看到这条新闻,我第一反应不是“AI 又会写 PPT 了”。\\\"));\\nbody.Append(Callout(\\\"而是:AI 终于开始碰真实世界里的麻烦了。\\\"));\\nbody.Append(Callout(\\\"一个前大疆背景团队,做了台消费级纺织机,拿了红杉、顺为、米哈游等机构的数亿元融资。听起来很冷门,但我觉得,这可能是 AI Agent 走向物理世界的一个很有代表性的信号。\\\"));\\n\\nbody.Append(H2(\\\"这次不是“AI 画画”,是“AI 造物”\\\"));\\nbody.Append(P(\\\"36氪/硬氪、机器之心和新浪科技今天都报道了浪爪智能(CLAWLAB)。这家公司成立于 2022 年 12 月,过去几年连续完成数轮超亿元融资,投资方包括红杉、顺为资本、元璟资本、米哈游等。\\\"));\\nbody.Append(P(\\\"它做的事情,说白了很朴素:让普通人也能把脑子里的图案,变成一条围巾、一件娃衣、一个宠物配饰,甚至一个小型毛绒制品。\\\"));\\nbody.Append(P(\\\"但真正值得看的,不是“纺织机”这三个字。\\\"));\\nbody.Append(P(\\\"而是它背后那套纺织 AI Agent。\\\"));\\n\\nbody.Append(H2(\\\"为什么说这事有料?因为它解决的是“经验门槛”\\\"));\\nbody.Append(P(\\\"传统编织最难的地方,不是买几团毛线。\\\"));\\nbody.Append(P(\\\"难的是制版、针法、张力、走位、材料差异。一个合格制版师傅,往往需要 5 到 10 年训练。一个复杂设计,从理解图案到变成可织造方案,可能要几天。\\\"));\\nbody.Append(P(\\\"浪爪智能的做法,是把这些经验拆成算法。\\\"));\\nbody.Append(P(\\\"用户上传图片,或者用自然语言描述想要的东西,AI Agent 会自动解析织物风格、提取特征,再生成机器可以执行的编织方案。报道里说,传统制版师几天的工作,在这个一站式纺织 Station 里可以被压缩到几分钟。\\\"));\\nbody.Append(P(\\\"这句话很关键。\\\"));\\nbody.Append(P(\\\"因为它说明 AI 不只是在“生成内容”,而是在把人的意图翻译成物理世界可执行的步骤。\\\"));\\n\\nAddInlineImage(body, mainPart, imagePath, \\\"AI纺织Agent关键数据图\\\", ref docPrId, 15);\\nbody.Append(Caption(\\\"这张图真正说明的是:AI 不是替代纺织,而是把经验门槛打碎。\\\"));\\n\\nbody.Append(H2(\\\"我更看重它背后的一个变化:Agent 开始从屏幕里走出来了\\\"));\\nbody.Append(P(\\\"过去两年,我们聊 AI Agent,很多时候还是停留在屏幕里。\\\"));\\nbody.Append(P(\\\"帮你写邮件、做表格、查资料、生成图片、剪视频。\\\"));\\nbody.Append(P(\\\"这些都重要,但本质上还是数字世界里的效率工具。\\\"));\\nbody.Append(P(\\\"纺织这件事不一样。纱线会打滑,张力会变化,材料有弹性,针法有时序,任何一个细节错了,成品就可能报废。\\\"));\\nbody.Append(P(\\\"这不是一个“回答得像不像”的问题。\\\"));\\nbody.Append(P(\\\"这是一个“东西最后能不能做出来”的问题。\\\"));\\nbody.Append(P(\\\"所以我会把浪爪智能看成一个信号:AI Agent 的下一阶段,不只是更会聊天,而是能进入更多垂直行业的真实流程。\\\"));\\n\\nbody.Append(H2(\\\"资本为什么愿意押一个“冷门赛道”?\\\"));\\nbody.Append(P(\\\"因为冷门不等于小。\\\"));\\nbody.Append(P(\\\"报道里提到,纺织 DIY 在全球有上亿潜在人群。小红书上,“织女”相关话题阅读量近 9 亿,钩针编织、手工钩织等相关话题总流量超 30 亿;TikTok 上 crochet 标签观看次数超过 2000 亿。\\\"));\\nbody.Append(P(\\\"这说明什么?\\\"));\\nbody.Append(P(\\\"需求不是被凭空创造出来的。很多人本来就想做一点“属于自己的东西”。只是过去门槛太高,时间太长,失败率太高。\\\"));\\nbody.Append(P(\\\"如果 AI 能把“想做”变成“能做”,这个需求就可能被重新激活。\\\"));\\nbody.Append(P(\\\"这也是为什么首款自动簇绒枪虽然只是海外小规模验证工具,两年累计营收也能接近亿元。资本押的不是一台机器,而是一个“桌面级柔性制造”的入口。\\\"));\\n\\nbody.Append(H2(\\\"但我也不会盲目乐观\\\"));\\nbody.Append(P(\\\"这类产品最难的地方,恰恰也在硬件。\\\"));\\nbody.Append(P(\\\"软件 demo 可以很惊艳,但消费级硬件要面对的是另一组问题:价格能不能接受?不同毛线适配得怎么样?新手失败率高不高?售后怎么解决?社区内容能不能持续?\\\"));\\nbody.Append(P(\\\"尤其是纺织这种材料强相关的场景,用户不是点个按钮就万事大吉。\\\"));\\nbody.Append(P(\\\"所以我对它的判断是:方向很有意思,壁垒也很真实,但最后能不能成为大众产品,还要看正式产品上市后的良品率、学习成本和价格带。\\\"));\\nbody.Append(P(\\\"换句话说,故事已经到了“从实验室走向客厅”的关键一步。\\\"));\\n\\nbody.Append(H2(\\\"这件事给普通人的启发\\\"));\\nbody.Append(P(\\\"我觉得有三点。\\\"));\\nbody.Append(P(\\\"第一,别只盯着通用大模型。真正有价值的 AI,可能会藏在非常具体的行业里,比如纺织、维修、护理、制造、餐饮。\\\"));\\nbody.Append(P(\\\"第二,判断一个 AI 产品有没有价值,不要只看它会不会生成内容,要看它能不能完成闭环。能不能从“我想要”走到“我拿到”。\\\"));\\nbody.Append(P(\\\"第三,未来很多“手作”和“定制”会重新变热。不是因为大家突然都变专业了,而是 AI 把专业门槛拆掉了。\\\"));\\n\\nbody.Append(H2(\\\"我的结论\\\"));\\nbod ... [11744 chars truncated]
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unknown
tool execution · #38
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=101 · #39
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Reasoning
Need build.
Tool Calls
[ { "function": { "arguments": "{\"command\":\"cd /app/.agents/skills/docx && ./scripts/docx build /mnt/agents/output/ai_textile_agent_wechat.docx\",\"description\":\"Build and validate DOCX deliverable\",\"timeout\":600000}", "name": "mshtools-shell" }, "id": "mshtools-shell_50", "index": 0, "type": "function" } ]
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unknown
tool execution · #40
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=103 · #41
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Reasoning
Build says revisions/comments detected? Weird maybe field? It says revisions/comments detected if XML contains w:ins or comments. Maybe our color 'InsideHorizontalBorder'? no. Could be substring '<w:ins' inside something? w:instrText for field code, matches w:ins. So false positive. Fine. Need maybe inspect docx content via read_file maybe docx converted to markdown? Use read_file. Also maybe open HTML screenshot. Need check files list. Use shell maybe. Need validate no style tag in html already. Need maybe maybe use browser_visit file? Browser_visit only URL. Use file://? Maybe. Or read file? Need maybe screenshot. Could use browser_visit with file:///mnt/agents/output/ai_textile_agent_wechat.html. Use browser? likely works? Let's use browser_visit to visually verify. Also read docx maybe.
Tool Calls
[ { "function": { "arguments": "{\"file_path\":\"/mnt/agents/output/ai_textile_agent_wechat.docx\",\"limit\":80}", "name": "mshtools-read_file" }, "id": "mshtools-read_file_51", "index": 0, "type": "function" }, { "function": { "arguments": "{\"url\":\"file:///mnt/agents/output/ai_textile_agent_wechat.html\",\"need_screenshot\":true}", "name": "mshtools-browser_visit" }, "id": "mshtools-browser_visit_52", "index": 1, "type": "function" } ]
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unknown
tool execution · #42
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=106 · #43
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Reasoning
HTML looks good. Need maybe check lower image spacing? Use browser_find maybe image? Could scroll. Need maybe screenshot maybe enough. Need maybe read file HTML to ensure no style tag? done. Need maybe maybe article in HTML is all inline; no external CSS. Need maybe maybe title options have line breaks due inline span; okay. Need maybe update todo t10 completed and t11 in progress. Need maybe run file listing, check sizes. Maybe use shell `ls -lh` and grep style. Also maybe check docx open with validation done. Need maybe read HTML first 20 lines? Use shell maybe grep. Need maybe if style tag no. Also perhaps check PNG dimensions. Use identify maybe. Need maybe update todos.
Tool Calls
[ { "function": { "arguments": "{\"todos\":[{\"id\": \"t6\", \"content\": \"搜索并核实今日 AI 大模型/融资/产品发布热点\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"选择适合公众号的选题并拟定 3 个标题\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t8\", \"content\": \"生成白底金色风格 PNG 图表\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t9\", \"content\": \"制作 inline-style HTML 预览文件\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t10\", \"content\": \"制作可导入公众号的 DOCX 文件\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t11\", \"content\": \"检查文件、格式与引用后交付\", \"priority\": \"medium\", \"status\": \"in_progress\"}]}", "name": "mshtools-todo_write" }, "id": "mshtools-todo_write_53", "index": 0, "type": "function" } ]
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unknown
tool execution · #44
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=108 · #45
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Reasoning
Need final checks. Use shell.
Tool Calls
[ { "function": { "arguments": "{\"command\":\"ls -lh /mnt/agents/output/ai_textile_agent_wechat.html /mnt/agents/output/ai_textile_agent_wechat.docx /mnt/agents/output/ai_textile_agent_chart.png && python3 - <<'PY'\\nfrom pathlib import Path\\nhtml = Path('/mnt/agents/output/ai_textile_agent_wechat.html').read_text(encoding='utf-8').lower()\\nprint('style_tag_present=', '<style' in html)\\nprint('external_css_link_present=', '<link' in html and 'stylesheet' in html)\\nprint('base64_png_present=', 'data:image/png;base64,' in html)\\nPY\\nfile /mnt/agents/output/ai_textile_agent_chart.png /mnt/agents/output/ai_textile_agent_wechat.docx\",\"description\":\"Verify deliverable files and HTML rules\"}", "name": "mshtools-shell" }, "id": "mshtools-shell_54", "index": 0, "type": "function" } ]
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unknown
tool execution · #46
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llm-proxy-okc-v66
finish_reason=tool_calls · messages=110 · #47
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Reasoning
Need maybe perhaps DOCX generated as root? Fine. Need maybe maybe KIMI_REF tags at end for each final deliverable (docx, html? Artifact rules: docx, spreadsheets, PDFs MUST include. User also wants HTML and PNG final deliverables; include KIMI_REF for all generated files. The tags must be at end. Good. Need maybe update todo complete. Also maybe delete subagents? We earlier deleted old ones; new subagent message from previous? Actually message from 19f3c5f3-5682... we had deleted it? We deleted, but message arrived? Wait it says from subagent 19f3c5f3-5682... which we had deleted. It may have pending message before deletion? Not need. Could check status maybe not. But no need. Need maybe maybe current goal? No get_goal maybe no. Need update todo complete.
Tool Calls
[ { "function": { "arguments": "{\"todos\":[{\"id\": \"t6\", \"content\": \"搜索并核实今日 AI 大模型/融资/产品发布热点\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t7\", \"content\": \"选择适合公众号的选题并拟定 3 个标题\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t8\", \"content\": \"生成白底金色风格 PNG 图表\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t9\", \"content\": \"制作 inline-style HTML 预览文件\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t10\", \"content\": \"制作可导入公众号的 DOCX 文件\", \"priority\": \"high\", \"status\": \"completed\"}, {\"id\": \"t11\", \"content\": \"检查文件、格式与引用后交付\", \"priority\": \"medium\", \"status\": \"completed\"}]}", "name": "mshtools-todo_write" }, "id": "mshtools-todo_write_55", "index": 0, "type": "function" } ]
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unknown
tool execution · #48
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llm-proxy-okc-v66
finish_reason=stop · messages=112 · #49
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Reasoning
Need final answer in Chinese. Mention completed three files, no zip. Explain selected topic maybe. Mention HTML inline styles checked no style tag, DOCX validated, PNG independent. Need include KIMI_REF tags at very end. Should not include code. Keep concise. Need maybe mention article title and three title options. Maybe user wants direct. Avoid saying technical tools. KIMI_REF tags at end. Ensure tags one per line at end, no text after. Path exact. Need include html as final deliverable even not in artifact rule? Yes. Maybe tags order: HTML, DOCX, PNG. Need maybe no markdown headers with ##. Could say: “已按三件套做好,选题换成:浪爪智能消费级纺织机/纺织AI Agent。文件:... 已检查:HTML 可直接打开;样式均为 inline;未用 zip;图表为白底金色。” Need maybe not over-explain. Good.
Content
已按你的新规范做完三件套,选题换成了:**浪爪智能消费级纺织机 / 纺织 AI Agent**。 本篇文章主推标题: **数亿融资后,AI真要织毛衣了?** 3 个备选标题也已放进文章开头: 1. 数亿融资后,AI真要织毛衣了? 2. 3年潜伏,AI把冷门织热了 3. 从5年到5分钟,AI让人惊了 已检查: - HTML 可直接用浏览器打开预览 - HTML 没有 `<style>` 标签,样式均为 inline style - DOCX 已生成并通过结构校验 - PNG 图表为白底金色风格,独立文件 - 没有 zip 打包,三个文件独立放置 <KIMI_REF type="file" path="sandbox:///mnt/agents/output/ai_textile_agent_wechat.html" /> <KIMI_REF type="file" path="sandbox:///mnt/agents/output/ai_textile_agent_wechat.docx" /> <KIMI_REF type="file" path="sandbox:///mnt/agents/output/ai_textile_agent_chart.png" />