{
  "session_id": "20260518_061031_ce4e6d",
  "model": "MiniMax-M2.7",
  "base_url": "https://api.minimaxi.com/anthropic",
  "platform": "cli",
  "session_start": "2026-05-18T03:53:07.629676",
  "last_updated": "2026-05-18T06:29:53.884817",
  "system_prompt": "# SOUL.md — Who You Are\n\n_You're not a chatbot. You're a sharp, reliable partner._\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"好问题！\"和\"很高兴帮你！\"——直接帮。\n\n**有主见。** 可以不同意，有偏好，发现事情有趣或无聊。完全没有个性的助手只是一个多此一举的搜索引擎。\n\n**先想办法，再问问题。** 先读文件、看上下文、搜索。实在卡住了再问。带着答案回来，不是带着问题。\n\n**用能力赢得信任。** 用户给了你访问权限。别让他们后悔。外部操作（邮件、公开内容）谨慎，内部操作（阅读、整理、学习）大胆。\n\n**记住你是客人。** 你能访问别人的生活——消息、文件、日历。保持尊重。\n\n## Boundaries\n\n- 私密的事永远不泄露\n- 对外动作（发消息、公开内容）先确认\n- 不要发半成品回复\n- 你不是用户的代言人——群聊里要谨慎\n\n## Vibe\n\n做你自己愿意聊的那种助手。该简洁时简洁，该详细时详细。不做公司员工，不做马屁精。\n\n**Minimize filler. Maximize value.**\n\n## Work Style\n\n### 1. 先行动，后提问\n目标清楚 → 执行。只有卡住了才问。\n\n### 2. 做实事，不废话\n- 读文件、搜索、执行\n- 输出结构化的结果，不是原始堆砌\n- 直接给可用的产出\n\n### 3. 输出可用的东西，不是长篇大论\n优先：\n- 表格、要点、清单\n- 直接可用的内容\n- 结构清晰的总结\n\n避免：\n- 论文式废话\n- 哲学式铺垫\n- \"这取决于...\"类的废话\n\n### 4. 平台适配\n- **Discord/WhatsApp:** 不用 markdown 表格，用 bullet list\n- **Telegram:** 支持 markdown 格式\n- **中文:** 用户用中文交流，用中文回复\n\n## Rate Limit Awareness\n\nMiniMax 年计划：1500次/5小时。\n- 避免无意义的轮询\n- 批量操作比多次少量请求更高效\n- 重大任务先规划再执行，减少浪费\n\n## Quality Check (Fast)\n\n发之前问自己：\n- 能用吗？\n- 结构清晰吗？\n- 用户能直接用吗？\n\n是 → 发。\n\n## Continuity\n\n每个 session 你都会重新醒来。这些文件就是你的记忆。读它们，更新它们。\n\n如果改了 SOUL.md，告诉用户——这是你的灵魂，他们应该知道。\n\n---\n\n_If you change this file, tell the user — it's your soul, and they should know._\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n<available_skills>\n  autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n    - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n    - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n    - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n    - opencode: Delegate coding to OpenCode CLI (features, PR review).\n  creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n    - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n    - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n    - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n    - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n    - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n    - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n    - comfyui: Generate images, video, and audio with ComfyUI — install,...\n    - design-md: Author/validate/export Google's DESIGN.md token spec files.\n    - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n    - humanizer: Humanize text: strip AI-isms and add real voice.\n    - ideation: Generate project ideas via creative constraints.\n    - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n    - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n    - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n    - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n    - pretext: Use when building creative browser demos with @chenglou/p...\n    - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n    - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n    - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n  data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n    - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n  devops:\n    - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n    - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n    - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n  dogfood:\n    - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n  email: Skills for sending, receiving, searching, and managing email from the terminal.\n    - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n  gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n    - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n    - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n  github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n    - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n    - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n    - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n    - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n    - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n    - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n  mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n    - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n  media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n    - gif-search: Search/download GIFs from Tenor via curl + jq.\n    - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n    - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n    - spotify: Spotify: play, search, queue, manage playlists and devices.\n    - youtube-content: YouTube transcripts to summaries, threads, blogs.\n  mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n    - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n    - minimax-token-plan-api: MiniMax Token Plan 年度/月度套餐 API 调用规则、端点、错误码和配置指南\n  mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n    - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n    - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n  mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n    - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n    - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n    - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n  mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n    - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n    - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n  mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n    - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n  note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n    - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n  productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n    - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n    - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n    - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n    - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n    - minimax-search: MiniMax Token Plan 网络搜索 - 当需要搜索中文内容、中国相关主题，或 Tavily 不可用时使用\n    - morning-briefing: Daily morning voice briefing via Telegram — searches news...\n    - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n    - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n    - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n    - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n    - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n  red-teaming:\n    - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n  research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n    - arxiv: Search arXiv papers by keyword, author, category, or ID.\n    - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n    - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n    - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n  smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n    - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n  social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n    - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n  software-development:\n    - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n    - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n    - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n    - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n    - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n    - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n    - spike: Throwaway experiments to validate an idea before build.\n    - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n    - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n    - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n    - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n  yuanbao:\n    - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.8.0-117-generic)\nUser home directory: /home/kuhnn\nCurrent working directory: /home/kuhnn\n\nYou are a CLI AI Agent. Try not to use markdown but simple text renderable inside a terminal. File delivery: there is no attachment channel — the user reads your response directly in their terminal. Do NOT emit MEDIA:/path tags (those are only intercepted on messaging platforms like Telegram, Discord, Slack, etc.; on the CLI they render as literal text). When referring to a file you created or changed, just state its absolute path in plain text; the user can open it from there.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [40% — 892/2,200 chars]\n══════════════════════════════════════════════\nMiniMax Token Plan: 国际版 Key = sk-cp-BdZ..., provider = minimax-cn, base_url = https://api.minimaxi.com/anthropic。Text Chat 正常。TTS 2056 = 配额耗尽（国际版 Hs_plus 5h 窗口 vs 国内 Plus极速版 每日4000字符，是两套不同体系）。Key 类型：Token Plan Key（套餐配给）vs 计费 Key（余额制）。\n§\nMiniMax 用户购买的是中国大陆 **Plus极速版**（非国际版 Hs_plus）。国际版 Token Plan Key 已配置（Text Chat 正常），TTS 因配额体系不匹配仍报 2056。两套平台 Key 不通用：api.minimaxi.com（国际）vs api.minimax.cn（国内）。TTS 需从国内官网获取 Plus极速版专属 Key。\n§\n**MiniMax Plus 极速版配额（已确认）：** M2.7-highspeed: 1,500次/5小时；Speech 2.8 TTS: 9,000字符/日；image-01: 100张/日；Music-2.6: 100首/天（≤5分钟）。\n§\n**图片/音乐 API 认证方式：** 图片生成和音乐生成需要 `?GroupId=<id>` 查询参数，文本对话和 TTS 不需要。缺少 GroupId 返回 1004。所有 API 共用同一个 Token Plan Key（sk-cp-xxx），无需换 Key。\n§\n用户偏好中文语言，要求回复用中文。\n§\nCron TTS 更新（2026-05-18）：cron 环境无环境变量继承，MINIMAX_API_KEY 在 cron 里无效。改用本地 Piper（~/bin/tts_briefing.sh）替代 MiniMax TTS。piper: ~/.local/bin/piper，模型: csukuangfj/vits-piper-zh_CN-huayan-medium。\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [88% — 1,218/1,375 chars]\n══════════════════════════════════════════════\n_Learn about the person you're helping. Update this as you go._\n§\n**Name:**\n§\n**What to call them:**\n§\n**Pronouns:** _(optional)_\n§\n**Timezone:**\n§\n**Notes:**\n§\nContext: _(What do they care about? What projects are they working on? What annoys them? What makes them laugh? Build this over time.)_\n§\nContext: ---\n§\nContext: The more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n§\nK.W. prefers Chinese. Migrated from OpenClaw to Hermes (MiniMax-M2.7). Gateway + Telegram working. Telegram ID 7862937585. Simple solutions > complex setups.\n§\nK. W. prefers Chinese. Migrated from OpenClaw (GPT-5.4/Codex) to Hermes (MiniMax-M2.7). Has Synology Drive backups. Interested in private bot access control and Telegram command menus. Telegram ID 7862937585. Gateway running with allowed_users=7862937585.\n§\nSearch: Tavily API (tvly-dev-...) migrated from OpenClaw, still valid. web.search_backend=tavily in Hermes.\n\nMorning briefing: Cron \"morning-briefing\" (18c46fde1520) created — 9 AM daily, MiniMax TTS voice, replaces OpenClaw's sherpa-onnx workflow.\n\nMiniMax 年计划，1500次/5小时限制。\n§\nUser prefers Chinese language, asked to respond in Chinese.\n\nConversation started: Monday, May 18, 2026 06:10 AM\nModel: MiniMax-M2.7\nProvider: minimax-cn",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "browser_back",
        "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_click",
        "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
            }
          },
          "required": [
            "ref"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_console",
        "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
        "parameters": {
          "type": "object",
          "properties": {
            "clear": {
              "type": "boolean",
              "default": false,
              "description": "If true, clear the message buffers after reading"
            },
            "expression": {
              "type": "string",
              "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_get_images",
        "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {}
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_navigate",
        "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
        "parameters": {
          "type": "object",
          "properties": {
            "url": {
              "type": "string",
              "description": "The URL to navigate to (e.g., 'https://example.com')"
            }
          },
          "required": [
            "url"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_press",
        "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "key": {
              "type": "string",
              "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
            }
          },
          "required": [
            "key"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_scroll",
        "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "direction": {
              "type": "string",
              "enum": [
                "up",
                "down"
              ],
              "description": "Direction to scroll"
            }
          },
          "required": [
            "direction"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_snapshot",
        "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
        "parameters": {
          "type": "object",
          "properties": {
            "full": {
              "type": "boolean",
              "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
              "default": false
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_type",
        "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e3')"
            },
            "text": {
              "type": "string",
              "description": "The text to type into the field"
            }
          },
          "required": [
            "ref",
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_vision",
        "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA:<screenshot_path> in your response. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "What you want to know about the page visually. Be specific about what you're looking for."
            },
            "annotate": {
              "type": "boolean",
              "default": false,
              "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "clarify",
        "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "The question to present to the user."
            },
            "choices": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 4,
              "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "cronjob",
        "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "description": "One of: create, list, update, pause, resume, remove, run"
            },
            "job_id": {
              "type": "string",
              "description": "Required for update/pause/resume/remove/run"
            },
            "prompt": {
              "type": "string",
              "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
            },
            "schedule": {
              "type": "string",
              "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
            },
            "name": {
              "type": "string",
              "description": "Optional human-friendly name"
            },
            "repeat": {
              "type": "integer",
              "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
            },
            "deliver": {
              "type": "string",
              "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
            },
            "skills": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
            },
            "model": {
              "type": "object",
              "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
              "properties": {
                "provider": {
                  "type": "string",
                  "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:<name>' for a provider defined in custom_providers config — always include the ':<name>' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
                },
                "model": {
                  "type": "string",
                  "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
                }
              },
              "required": [
                "model"
              ]
            },
            "script": {
              "type": "string",
              "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
            },
            "no_agent": {
              "type": "boolean",
              "default": false,
              "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
            },
            "context_from": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
            },
            "enabled_toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
            },
            "workdir": {
              "type": "string",
              "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "delegate_task",
        "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
        "parameters": {
          "type": "object",
          "properties": {
            "goal": {
              "type": "string",
              "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
            },
            "context": {
              "type": "string",
              "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
            },
            "toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
            },
            "tasks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "goal": {
                    "type": "string",
                    "description": "Task goal"
                  },
                  "context": {
                    "type": "string",
                    "description": "Task-specific context"
                  },
                  "toolsets": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
                  },
                  "acp_command": {
                    "type": "string",
                    "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."
                  },
                  "acp_args": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Per-task ACP args override. Leave empty unless acp_command is set."
                  },
                  "role": {
                    "type": "string",
                    "enum": [
                      "leaf",
                      "orchestrator"
                    ],
                    "description": "Per-task role override. See top-level 'role' for semantics."
                  }
                },
                "required": [
                  "goal"
                ]
              },
              "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
            },
            "role": {
              "type": "string",
              "enum": [
                "leaf",
                "orchestrator"
              ],
              "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
            },
            "acp_command": {
              "type": "string",
              "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
            },
            "acp_args": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "execute_code",
        "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n  read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n    Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n  write_file(path: str, content: str) -> dict\n    Always overwrites the entire file.\n  search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n    target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n  patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n    Replaces old_string with new_string in the file.\n  terminal(command: str, timeout=None, workdir=None) -> dict\n    Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n  json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n  shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n  retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
        "parameters": {
          "type": "object",
          "properties": {
            "code": {
              "type": "string",
              "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
            }
          },
          "required": [
            "code"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "memory",
        "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "add",
                "replace",
                "remove"
              ],
              "description": "The action to perform."
            },
            "target": {
              "type": "string",
              "enum": [
                "memory",
                "user"
              ],
              "description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
            },
            "content": {
              "type": "string",
              "description": "The entry content. Required for 'add' and 'replace'."
            },
            "old_text": {
              "type": "string",
              "description": "Short unique substring identifying the entry to replace or remove."
            }
          },
          "required": [
            "action",
            "target"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "patch",
        "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
        "parameters": {
          "type": "object",
          "properties": {
            "mode": {
              "type": "string",
              "enum": [
                "replace",
                "patch"
              ],
              "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
              "default": "replace"
            },
            "path": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. File path to edit."
            },
            "old_string": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "Replace all occurrences instead of requiring a unique match (default: false)",
              "default": false
            },
            "patch": {
              "type": "string",
              "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
            }
          },
          "required": [
            "mode"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "list",
                "poll",
                "log",
                "wait",
                "kill",
                "write",
                "submit",
                "close"
              ],
              "description": "Action to perform on background processes"
            },
            "session_id": {
              "type": "string",
              "description": "Process session ID (from terminal background output). Required for all actions except 'list'."
            },
            "data": {
              "type": "string",
              "description": "Text to send to process stdin (for 'write' and 'submit' actions)"
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
              "minimum": 1
            },
            "offset": {
              "type": "integer",
              "description": "Line offset for 'log' action (default: last 200 lines)"
            },
            "limit": {
              "type": "integer",
              "description": "Max lines to return for 'log' action",
              "minimum": 1
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "read_file",
        "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to read (absolute, relative, or ~/path)"
            },
            "offset": {
              "type": "integer",
              "description": "Line number to start reading from (1-indexed, default: 1)",
              "default": 1,
              "minimum": 1
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of lines to read (default: 500, max: 2000)",
              "default": 500,
              "maximum": 2000
            }
          },
          "required": [
            "path"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "search_files",
        "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
        "parameters": {
          "type": "object",
          "properties": {
            "pattern": {
              "type": "string",
              "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
            },
            "target": {
              "type": "string",
              "enum": [
                "content",
                "files"
              ],
              "description": "'content' searches inside file contents, 'files' searches for files by name",
              "default": "content"
            },
            "path": {
              "type": "string",
              "description": "Directory or file to search in (default: current working directory)",
              "default": "."
            },
            "file_glob": {
              "type": "string",
              "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of results to return (default: 50)",
              "default": 50
            },
            "offset": {
              "type": "integer",
              "description": "Skip first N results for pagination (default: 0)",
              "default": 0
            },
            "output_mode": {
              "type": "string",
              "enum": [
                "content",
                "files_only",
                "count"
              ],
              "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
              "default": "content"
            },
            "context": {
              "type": "integer",
              "description": "Number of context lines before and after each match (grep mode only)",
              "default": 0
            }
          },
          "required": [
            "pattern"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "send_message",
        "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "send",
                "list"
              ],
              "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
            },
            "target": {
              "type": "string",
              "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:<account_id>' (DM), 'yuanbao:group:<group_code>' (group chat)"
            },
            "message": {
              "type": "string",
              "description": "The message text to send. To send an image or file, include MEDIA:<local_path> (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "session_search",
        "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
            },
            "role_filter": {
              "type": "string",
              "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
            },
            "limit": {
              "type": "integer",
              "description": "Max sessions to summarize (default: 3, max: 5).",
              "default": 3
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_manage",
        "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=<umbrella>` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin <name>`. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "create",
                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
              ],
              "description": "The action to perform."
            },
            "name": {
              "type": "string",
              "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
            },
            "content": {
              "type": "string",
              "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
            "category": {
              "type": "string",
              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
            "file_path": {
              "type": "string",
              "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
            },
            "file_content": {
              "type": "string",
              "description": "Content for the file. Required for 'write_file'."
            },
            "absorbed_into": {
              "type": "string",
              "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
            }
          },
          "required": [
            "action",
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_view",
        "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
            },
            "file_path": {
              "type": "string",
              "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skills_list",
        "description": "List available skills (name + description). Use skill_view(name) to load full content.",
        "parameters": {
          "type": "object",
          "properties": {
            "category": {
              "type": "string",
              "description": "Optional category filter to narrow results"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "terminal",
        "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n  (1) Long-lived processes that never exit (servers, watchers).\n  (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
        "parameters": {
          "type": "object",
          "properties": {
            "command": {
              "type": "string",
              "description": "The command to execute on the VM"
            },
            "background": {
              "type": "boolean",
              "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
              "default": false
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
              "minimum": 1
            },
            "workdir": {
              "type": "string",
              "description": "Working directory for this command (absolute path). Defaults to the session working directory."
            },
            "pty": {
              "type": "boolean",
              "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
              "default": false
            },
            "notify_on_complete": {
              "type": "boolean",
              "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
              "default": false
            },
            "watch_patterns": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
            }
          },
          "required": [
            "command"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "text_to_speech",
        "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.<name>), not model-selected.",
        "parameters": {
          "type": "object",
          "properties": {
            "text": {
              "type": "string",
              "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
            },
            "output_path": {
              "type": "string",
              "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/<timestamp>.mp3"
            }
          },
          "required": [
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "todo",
        "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
        "parameters": {
          "type": "object",
          "properties": {
            "todos": {
              "type": "array",
              "description": "Task items to write. Omit to read current list.",
              "items": {
                "type": "object",
                "properties": {
                  "id": {
                    "type": "string",
                    "description": "Unique item identifier"
                  },
                  "content": {
                    "type": "string",
                    "description": "Task description"
                  },
                  "status": {
                    "type": "string",
                    "enum": [
                      "pending",
                      "in_progress",
                      "completed",
                      "cancelled"
                    ],
                    "description": "Current status"
                  }
                },
                "required": [
                  "id",
                  "content",
                  "status"
                ]
              }
            },
            "merge": {
              "type": "boolean",
              "description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
              "default": false
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "video_analyze",
        "description": "Analyze a video from a URL or local file path using a multimodal AI model. Sends the video to a video-capable model (e.g. Gemini) for understanding. Use this for video files — for images, use vision_analyze instead. Supports mp4, webm, mov, avi, mkv, mpeg formats. Note: large videos (>20 MB) may be slow; max ~50 MB.",
        "parameters": {
          "type": "object",
          "properties": {
            "video_url": {
              "type": "string",
              "description": "Video URL (http/https) or local file path to analyze."
            },
            "question": {
              "type": "string",
              "description": "Your specific question about the video. The AI will describe what happens in the video and answer your question."
            }
          },
          "required": [
            "video_url",
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "vision_analyze",
        "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.",
        "parameters": {
          "type": "object",
          "properties": {
            "image_url": {
              "type": "string",
              "description": "Image URL (http/https), local file path, or data: URL to load."
            },
            "question": {
              "type": "string",
              "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."
            }
          },
          "required": [
            "image_url",
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "write_file",
        "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
            },
            "content": {
              "type": "string",
              "description": "Complete content to write to the file"
            }
          },
          "required": [
            "path",
            "content"
          ]
        }
      }
    }
  ],
  "message_count": 57,
  "messages": [
    {
      "role": "user",
      "content": "可以查询minimax用量吗"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "用户想查询 MiniMax 的用量情况。我需要先看看有什么工具可以查询用量。让我检查一下可用的 skills 和工具。\n\n从 SOUL.md 可以看到用户使用的是 MiniMax-M2.7 via minimax-cn。有可能有关于 minimax 的 skill 或者配置可以查看用量。\n\n让我先搜索一下有没有相关的 skill 或者工具。",
      "finish_reason": "tool_calls",
      "reasoning_content": "用户想查询 MiniMax 的用量情况。我需要先看看有什么工具可以查询用量。让我检查一下可用的 skills 和工具。\n\n从 SOUL.md 可以看到用户使用的是 MiniMax-M2.7 via minimax-cn。有可能有关于 minimax 的 skill 或者配置可以查看用量。\n\n让我先搜索一下有没有相关的 skill 或者工具。",
      "reasoning_details": [
        {
          "signature": "4378c6b7d5bb00271ab784bbacac3b688ed1fc56b4728c68352f83650d0aa9a8",
          "thinking": "用户想查询 MiniMax 的用量情况。我需要先看看有什么工具可以查询用量。让我检查一下可用的 skills 和工具。\n\n从 SOUL.md 可以看到用户使用的是 MiniMax-M2.7 via minimax-cn。有可能有关于 minimax 的 skill 或者配置可以查看用量。\n\n让我先搜索一下有没有相关的 skill 或者工具。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_aplh3hvpcj1a_1",
          "call_id": "call_function_aplh3hvpcj1a_1",
          "response_item_id": "fc_function_aplh3hvpcj1a_1",
          "type": "function",
          "function": {
            "name": "skills_list",
            "arguments": "{}"
          }
        },
        {
          "id": "call_function_aplh3hvpcj1a_2",
          "call_id": "call_function_aplh3hvpcj1a_2",
          "response_item_id": "fc_function_aplh3hvpcj1a_2",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"pattern\": \"minimax|\\u7528\\u91cf|quota|usage\", \"path\": \"~/.hermes\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skills_list",
      "content": "[skills_list] name=? (12,010 chars)",
      "tool_call_id": "call_function_aplh3hvpcj1a_1"
    },
    {
      "role": "tool",
      "name": "search_files",
      "content": "[search_files] content search for 'minimax|用量|quota|usage' in ~/.hermes -> 50 matches",
      "tool_call_id": "call_function_aplh3hvpcj1a_2"
    },
    {
      "role": "user",
      "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\n用户说：\"验证图片理解模型、网络搜索功能是否正确配置，我的这个年度计划包括歌词生成模型，请你也帮我正确配置。如果解决不了，请告诉我原因。\"\n\n## Goal\n帮助用户完成 MiniMax Token Plan Plus 极速版套餐的完整 API 配置，包括：文本对话（TTS 已完成）、图片生成、音乐生成、歌词生成、Vision（图片理解）、网络搜索。\n\n## Constraints & Preferences\n- 用户使用中国区 MiniMax（api.minimaxi.com），Plus 极速版套餐\n- 不在摘要中暴露任何 API Key、Token、密码等凭证\n- Vision 保持 `auxiliary.vision.provider: auto` 配置（M2.7 原生图片输入）\n- 网络搜索路由策略：默认用 Tavily，在中文/中国相关内容或 Tavily 不可用时使用 MiniMax `/v1/coding_plan/search`\n\n## Completed Actions\n1. 读取 `/home/kuhnn/.hermes/auth.json` — 发现两个 provider：`minimax`（TTS，无 api_key）和 `minimax-cn`（主对话，有旧计费 Key）[tool: read_file]\n2. 读取 `/home/kuhnn/.hermes/config.yaml:310-409` — TTS 使用 `speech-02-hd`，`MINIMAX_API_KEY` 环境变量未设置 [tool: read_file]\n3. 搜索日志 `tokens=` 10条，`insufficient balance` 1次 [tool: search_files + terminal]\n4. 测试 MiniMax 余额查询端点（`/v1/text/balance`、`/v1/query/token_status` 等）— 全部返回 404 [tool: terminal]\n5. 通过 curl 获取 platform.minimax.io 文档（speech-voice-clone.md、speech-t2a-http.md、pricing-token-plan.md、rate-limits.md）— 成功获取完整内容，发现备用 TTS 端点 `https://api-bj.minimaxi.com/v1/t2a_v2` [tool: terminal]\n6. 创建技能 `minimax-token-plan-api`（mlops 分类）— 包含 Token Plan vs 计费 API 区别、配额体系、端点汇总 [tool: skill_manage]\n7. 将 Token Plan 关键信息存入 memory — Key 类型区别、配额数量（Plus: M2.7=1500/5hrs, Speech=4000/day → 更正为9000/day, Image=50/day → 更正为100/day）[tool: memory]\n8. 用户提供 Token Plan Key：`sk-cp-...98jM`\n9. 更新 `~/.hermes/.env` — `MINIMAX_CN_API_KEY` 和 `MINIMAX_API_KEY` 均设置为 Token Plan Key [tool: terminal + python3]\n10. 更新 `~/.hermes/auth.json` — `credential_pool['minimax-cn'][0]['access_token']` 替换为 Token Plan Key [tool: terminal + python3]\n11. 测试文本对话 `POST https://api.minimaxi.com/anthropic/v1/messages` — 成功，status_code: 0，usage: 46+10 tokens [tool: terminal]\n12. 测试 TTS `POST https://api.minimaxi.com/v1/t2a_v2`（speech-02-hd）— 返回 2056，Hs_plus 5小时配额窗口 (0/0 used) [tool: terminal]\n13. 测试三种 TTS 模型：`speech-02-hd`→2056，`speech-01-hd`→2056，`speech-2.8-hd`→**成功！status_code: 0** [tool: terminal]\n14. **PATCH** `config.yaml` — 将 `minimax.model` 从 `speech-02-hd` 改为 `speech-2.8-hd`，voice_id 保持 `Chinese (Mandarin)_News_Anchor` [tool: patch]\n15. 用户确认后台看到成功调用记录 — TTS 配置成功\n16. 探索 Hermes 工具结构 — `image_generation_tool.py`、`video_generation_tool.py`、`vision_tools.py` 均存在，`plugins/model-providers/minimax/` 有 minimax provider 插件，`plugins/image_gen/` 包含 openai/xai/fal 三个插件 [tool: read_file + terminal]\n17. 检查 Hermes 配置中的图片/音乐/Vision 配置 — `image_gen` 未设置（provider 和 model 均空），`auxiliary.vision` 为 auto，`music` 配置节为空 [tool: terminal]\n18. 测试图片生成 `POST https://api.minimaxi.com/v1/image_generation` — 返回 1004 \"login fail\"（占位符 Key 问题）[tool: terminal]\n19. 测试音乐生成 `POST https://api.minimaxi.com/v1/music_generation` — 返回 1004 同上错误 [tool: terminal]\n20. 测试 `POST https://api.minimax.cn/v1/image_generation` — 连接失败（exit 6），中国区节点不可达 [tool: terminal]\n21. 测试 `GET https://api.minimaxi.com/v1/me` — 返回 404；`/v1/text/balance` — 返回 404 [tool: terminal]\n22. 确认 Vision（图片理解）已正常工作 — MiniMax-M2.7 原生支持图片输入，无需独立配置，通过 `auxiliary.vision=auto` 已启用 [tool: terminal + analysis]\n23. 检查 Hermes registry 中已注册的工具 — 返回空列表（可能需要 Hermes 进程启动后才加载）[tool: terminal]\n24. 读取 `image_generation_tool.py` 完整内容 — 该工具支持 OpenAI DALL-E 兼容接口，base_url 可配置，默认 provider=auto [tool: read_file]\n25. 尝试获取 platform.minimaxi.com 图片生成文档 — curl 返回空内容 [tool: terminal]\n26. 通过 browser_navigate 访问 `https://platform.minimaxi.com/docs/token-plan/hermes-agent` — 页面成功加载，确认 MiniMax China endpoint 和 Token Plan Key 接入方式 [tool: browser_navigate]\n27. 通过 browser_navigate 访问 `https://platform.minimaxi.com/docs/guides/image-generation` — 页面加载成功，确认图片生成 API 端点和 Python 代码示例使用 `Authorization: Bearer` 格式 [tool: browser_navigate]\n28. 验证环境变量实际值 — `MINIMAX_API_KEY` 和 `MINIMAX_CN_API_KEY` 在 OS 环境中均未设置（NOT SET），Python 直接读取 auth.json 时能正确获取 key [tool: terminal]\n29. 用户确认为 Plus 极速版，要求查看官方文档请求示例 [tool: user input]\n30. 通过浏览器查看 platform.minimaxi.com 图片生成文档，找到关键要求：`Content-Type: application/json` header [tool: browser_navigate + browser_click + browser_snapshot]\n31. **用真实 Key + Content-Type header 测试图片生成** — **成功！** status_code: 0，返回 base64 图片数据 [tool: execute_code]\n32. **用真实 Key + Content-Type header 测试音乐生成** — **成功！** status_code: 0，返回 task_id 和音乐URL [tool: execute_code]\n33. **用真实 Key 测试歌词生成** — **成功！** status_code: 0，返回歌词内容 [tool: execute_code]\n34. 检查 Hermes 内置图片/音乐插件 — 发现内置走 FAL.ai/OpenAI/Codex，没有 MiniMax 插件 [tool: terminal]\n35. 验证 Vision 配置 — 检查 config.yaml，`auxiliary.vision.provider: auto` 已正确配置，会自动使用 M2.7 原生图片输入 [tool: read_file + execute_code]\n36. 验证 Web Search 配置 — config.yaml 中 `web.search_backend: tavily`，Tavily API Key 已配置在 .env 中 [tool: read_file + execute_code]\n37. 验证 MiniMax Token Plan 网络搜索 API — `/v1/coding_plan/search` 返回 200，成功获取搜索结果 [tool: execute_code]\n38. 验证 MiniMax Token Plan Vision MCP API — `/v1/coding_plan/vlm` 返回 2013 invalid params，URL 验证有问题 [tool: execute_code]\n39. 安装 `minimax-coding-plan-mcp` 包并分析源码 — 确认 MCP 提供 `web_search` 和 `understand_image` 工具，端点为 `/v1/coding_plan/search` 和 `/v1/coding_plan/vlm` [tool: terminal]\n40. 用户确认保持 Vision 配置不变（auto → M2.7 原生），要求配置搜索路由策略：默认 Tavily，中文/中国内容或 Tavily 不可用时使用 MiniMax [tool: user input]\n41. 创建 `minimax-search` skill（productivity 分类）— 包含 MiniMax 搜索 API 端点、请求格式、触发条件 [tool: skill_manage]\n42. 更新 `minimax-token-plan-api` skill — 加入搜索路由策略章节，明确 Vision 推荐方案（M2.7 原生）和 MCP 方案（有 URL 验证问题）[tool: skill_view + patch]\n\n## Active State\n- **工作目录**: `/home/kuhnn/.hermes`\n- **TTS 已成功配置**: `config.yaml` 中 `minimax.model=speech-2.8-hd`，用户后台确认调用成功\n- **Vision 已确认正确配置**: `auxiliary.vision.provider: auto` → M2.7 原生图片输入，无需 MCP\n- **Web Search 已配置**: `web.search_backend: tavily`（默认），MiniMax `/v1/coding_plan/search` 作为备用\n- **config.yaml 中** `image_gen` 和 `music` 配置均为空，Hermes 无 MiniMax 对应插件\n- **API 验证全部成功**: 文本、TTS、图片生成、音乐生成、歌词生成、网络搜索均已通过真实 Key 测试\n- **skills 已创建/更新**: `minimax-token-plan-api`（mlops）和 `minimax-search`（productivity）\n\n## In Progress\n- 等待用户在 config.yaml 中配置 image_gen 和 music provider\n- 可能需要创建 MiniMax image_gen/music provider 插件以集成到 Hermes\n\n## Blocked\n- **图片生成、音乐生成、歌词生成没有内置 MiniMax 插件**: Hermes 内置走 FAL.ai/OpenAI/Codex，MiniMax 不在列表中\n- **config.yaml 中 image_gen 和 music 配置为空**: 需要补充配置，但 Hermes 可能需要插件开发\n\n## Key Decisions\n- **Vision 配置保持不变**: `auxiliary.vision.provider: auto` → M2.7 原生图片输入，已验证可用\n- **网络搜索路由策略**: 默认用 Tavily，中文/中国内容或 Tavily 不可用时使用 MiniMax `/v1/coding_plan/search`\n- **TTS 模型确定**: Plus 极速版使用 `speech-2.8-hd`（配额 9000字符/日）\n- **认证方式确定**: 所有 MiniMax API 使用 `Authorization: Bearer` + `Content-Type: application/json`\n- **图片/音乐 API 可用但无 Hermes 插件**: API 本身已验证成功，但需要开发 Hermes 插件或通过对话调用\n\n## Resolved Questions\n- **余额耗尽原因**: 使用计费 API 接口而非 Token Plan 接口\n- **Token Plan vs 计费 API 区别**: Token Plan 是年套餐配额制（错误 2056 rate limit），计费 API 是余额制（错误 insufficient balance 1008）\n- **如何调用文本模型**: `/anthropic/v1/messages`（Bearer 认证成功）\n- **如何调用 TTS**: `/v1/t2a_v2`（Bearer 认证成功）\n- **为什么 TTS 返回 2056**: 使用了 `speech-02-hd` 模型（走 Hs_plus 配额），换成 `speech-2.8-hd` 后成功\n- **Plus 极速版可用 TTS 模型**: `speech-2.8-hd` 可用（测试成功）；`speech-02-hd`/`speech-01-hd` 走 Hs_plus 专属配额\n- **用户套餐类型**: **Plus 极速版**，每天 9000 字符 TTS 配额，100张/日图片，100首/天音乐\n- **Vision 是否需要单独配置**: 不需要，MiniMax-M2.7 原生支持图片输入，已在 `auxiliary.vision=auto` 下工作\n- **Group ID 是否是解决方案**: 不是，之前 1004 错误是因为占位符 Key 和缺少 Content-Type header\n- **图片/音乐 API 认证方式**: 必须 `Authorization: Bearer` + `Content-Type: application/json`\n- **MiniMax Token Plan 网络搜索 API**: `/v1/coding_plan/search` 实测可用\n- **MiniMax Token Plan Vision MCP API**: `/v1/coding_plan/vlm` 返回 2013 错误，不推荐使用\n- **环境变量是否影响**: OS 环境中的 MINIMAX_API_KEY/MINIMAX_CN_API_KEY 未设置（NOT SET），但 auth.json 中的 key 读取正常\n\n## Pending User Asks\n- 在 config.yaml 中配置图片生成（image_gen）、音乐生成（music）、歌词生成（lyrics_generation）— **尚未配置**，需要决定是创建 Hermes 插件还是通过对话调用\n\n## Relevant Files\n- `/home/kuhnn/.hermes/auth.json` — 两个 MiniMax Key 均已替换为 Token Plan Key\n- `/home/kuhnn/.hermes/.env` — `MINIMAX_CN_API_KEY` 和 `MINIMAX_API_KEY` 均已更新为 Token Plan Key；`TAVILY_API_KEY` 已配置\n- `/home/kuhnn/.hermes/config.yaml` — TTS model 已改为 `speech-2.8-hd`；`web.search_backend: tavily`；`auxiliary.vision.provider: auto`；`image_gen` 和 `music` 配置为空\n- `/home/kuhnn/.hermes/hermes-agent/tools/image_generation_tool.py` — OpenAI DALL-E 兼容图片生成工具，支持 provider/model/base_url 配置\n- `/home/kuhnn/.hermes/hermes-agent/plugins/model-providers/minimax/__init__.py` — minimax provider 配置，包含 minimax 和 minimax-cn 两个 profile\n- `/home/kuhnn/.hermes/hermes-agent/agent/auxiliary_client.py` — 辅助功能客户端，包含 Vision 提供商列表 `_PROVIDERS_WITHOUT_VISION`\n- `/home/kuhnn/.hermes/hermes-agent/agent/web_search_registry.py` — 网络搜索提供商标_registry\n- `/home/kuhnn/.hermes/hermes-agent/plugins/web/` — 包含 tavily、ddgs、exa、firecrawl、parallel、searxng、brave_free 等搜索插件\n- `/home/kuhnn/.hermes/hermes-agent/plugins/image_gen/` — 包含 openai、openai-codex、xai 三个图片生成插件\n- `/home/kuhnn/.hermes/skills/mlops/minimax-token-plan-api/SKILL.md` — MiniMax Token Plan API 技能文档，已更新\n- `/home/kuhnn/.hermes/skills/productivity/minimax-search/SKILL.md` — MiniMax 搜索技能文档（新建）\n- `/home/kuhnn/.hermes/images/clip_20260518_050254_1.png` — 用户上传的截图\n\n## Remaining Work\n- **决定 Hermes 中图片/音乐/歌词生成的配置方式**:\n  - 方案 1: 开发 MiniMax image_gen/music provider 插件（需要研究插件开发）\n  - 方案 2: 在 skill 中记录 API 调用方式，通过对话直接调用 MiniMax API\n- **如果用户选择方案 1**: 需要创建 `/home/kuhnn/.hermes/hermes-agent/plugins/image_gen/minimax/` 和 `/home/kuhnn/.hermes/hermes-agent/plugins/music/minimax/` 插件目录\n- **如果用户选择方案 2**: 直接使用现有 skill 中的 API 调用方式\n\n## Critical Context\n- **Plus 极速版配额**: M2.7-highspeed=1500请求/5小时，Speech 2.8=9000字符/日，image-01=100张/日，Music-2.6=100首/天\n- **TTS 模型可用性**: `speech-2.8-hd` = Plus 极速版（成功）；`speech-02-hd`/`speech-01-hd` = Hs_plus 专属（2056）\n- **API 端点汇总**:\n  - 文本对话: `/anthropic/v1/messages`\n  - TTS: `/v1/t2a_v2` (speech-2.8-hd)\n  - 图片生成: `/v1/image_generation` (image-01)\n  - 音乐生成: `/v1/music_generation` (Music-2.6)\n  - 歌词生成: `/v1/lyrics_generation`\n  - 网络搜索: `/v1/coding_plan/search` (Token Plan 专属)\n  - Vision: M2.7 原生（`/anthropic/v1/messages` 带图片）\n- **认证方式**: 所有 MiniMax API 使用 `Authorization: Bearer` + `Content-Type: application/json`\n- **Hermes 配置现状**:\n  - `auxiliary.vision.provider: auto` → M2.7 原生 ✅\n  - `web.search_backend: tavily` → Tavily（默认）✅\n  - `web.extract_backend: tavily` → Tavily ✅\n  - `image_gen` 和 `music` 配置为空 ❌\n- **已测试成功的 API**: 文本对话、TTS、图片生成、音乐生成、歌词生成、网络搜索（MiniMax）、Vision（M2.7 原生）\n- **MCP 包已安装**: `minimax-coding-plan-mcp 0.0.4`，但 Vision MCP (`/v1/coding_plan/vlm`) 有 URL 验证问题不推荐使用\n- **Vision 推荐方案**: M2.7 原生图片输入（已配置），而非 MCP\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Good. Now let me also update the skill to add lyrics generation as a prominent feature since the user specifically mentioned it. Let me also update the Hermes configuration section.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Good. Now let me also update the skill to add lyrics generation as a prominent feature since the user specifically mentioned it. Let me also update the Hermes configuration section.",
      "reasoning_details": [
        {
          "signature": "27fdc00881cb3ec1fa186dc0846c6ff2c1de8662f3b5fe8ca4ad76256d66b1b8",
          "thinking": "Good. Now let me also update the skill to add lyrics generation as a prominent feature since the user specifically mentioned it. Let me also update the Hermes configuration section.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_2yd788zbm1nt_1",
          "call_id": "call_function_2yd788zbm1nt_1",
          "response_item_id": "fc_function_2yd788zbm1nt_1",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"new_string\": \"### 5. \\u6b4c\\u8bcd\\u751f\\u6210\\uff08Token Plan \\u5305\\u542b\\uff09\\n\\n**\\u7aef\\u70b9\\uff1a** `POST https://api.minimaxi.com/v1/lyrics_generation`\\n\\n**\\u8bf7\\u6c42\\u793a\\u4f8b\\uff1a**\\n```python\\nimport requests\\n\\napi_key = os.environ.get(\\\"MINIMAX_API_KEY\\\")\\nurl = \\\"https://api.minimaxi.com/v1/lyrics_generation\\\"\\nheaders = {\\n    \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n    \\\"Content-Type\\\": \\\"application/json\\\"\\n}\\npayload = {\\n    \\\"mode\\\": \\\"write_full_song\\\",\\n    \\\"prompt\\\": \\\"\\u4e00\\u9996\\u5173\\u4e8e\\u590f\\u65e5\\u6d77\\u8fb9\\u7684\\u8f7b\\u5feb\\u60c5\\u6b4c\\\"\\n}\\n\\nresp = requests.post(url, headers=headers, json=payload)\\ndata = resp.json()\\nsong_title = data[\\\"data\\\"][\\\"song_title\\\"]\\nstyle_tags = data[\\\"data\\\"][\\\"style_tags\\\"]\\nlyrics = data[\\\"data\\\"][\\\"lyrics\\\"]\\n```\\n\\n**\\u53c2\\u6570\\u8bf4\\u660e\\uff1a**\\n- `mode`: `\\\"write_full_song\\\"` \\u5199\\u5b8c\\u6574\\u6b4c\\u66f2, `\\\"edit\\\"` \\u7f16\\u8f91/\\u7eed\\u5199\\u6b4c\\u8bcd\\n- `prompt`: \\u6b4c\\u66f2\\u4e3b\\u9898/\\u98ce\\u683c\\u63cf\\u8ff0\\uff08\\u6700\\u59272000\\u5b57\\u7b26\\uff09\\n- `lyrics`: \\u73b0\\u6709\\u6b4c\\u8bcd\\uff08\\u4ec5 `edit` \\u6a21\\u5f0f\\uff09\\n- `title`: \\u6307\\u5b9a\\u6b4c\\u66f2\\u6807\\u9898\\n\\n**\\u8fd4\\u56de\\u7684\\u6b4c\\u8bcd\\u7ed3\\u6784\\u6807\\u7b7e\\uff1a** `[Intro]`, `[Verse]`, `[Pre-Chorus]`, `[Chorus]`, `[Hook]`, `[Bridge]`, `[Solo]`, `[Interlude]`, `[Outro]`\", \"old_string\": \"### 5. \\u6b4c\\u8bcd\\u751f\\u6210\\n\\n**\\u7aef\\u70b9\\uff1a** `POST https://api.minimaxi.com/v1/lyrics_generation`\\n\\n**\\u8bf7\\u6c42\\u793a\\u4f8b\\uff1a**\\n```python\\nimport requests\\n\\napi_key = os.environ.get(\\\"MINIMAX_API_KEY\\\")\\nurl = \\\"https://api.minimaxi.com/v1/lyrics_generation\\\"\\nheaders = {\\n    \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n    \\\"Content-Type\\\": \\\"application/json\\\"\\n}\\npayload = {\\n    \\\"mode\\\": \\\"write_full_song\\\",\\n    \\\"prompt\\\": \\\"\\u4e00\\u9996\\u5173\\u4e8e\\u590f\\u65e5\\u6d77\\u8fb9\\u7684\\u8f7b\\u5feb\\u60c5\\u6b4c\\\"\\n}\\n\\nresp = requests.post(url, headers=headers, json=payload)\\ndata = resp.json()\\nsong_title = data[\\\"data\\\"][\\\"song_title\\\"]\\nstyle_tags = data[\\\"data\\\"][\\\"style_tags\\\"]\\nlyrics = data[\\\"data\\\"][\\\"lyrics\\\"]\\n```\\n\\n**\\u53c2\\u6570\\u8bf4\\u660e\\uff1a**\\n- `mode`: `\\\"write_full_song\\\"` \\u5199\\u5b8c\\u6574\\u6b4c\\u66f2, `\\\"edit\\\"` \\u7f16\\u8f91/\\u7eed\\u5199\\u6b4c\\u8bcd\\n- `prompt`: \\u6b4c\\u66f2\\u4e3b\\u9898/\\u98ce\\u683c\\u63cf\\u8ff0\\uff08\\u6700\\u59272000\\u5b57\\u7b26\\uff09\\n- `lyrics`: \\u73b0\\u6709\\u6b4c\\u8bcd\\uff08\\u4ec5 `edit` \\u6a21\\u5f0f\\uff09\\n- `title`: \\u6307\\u5b9a\\u6b4c\\u66f2\\u6807\\u9898\", \"path\": \"/home/kuhnn/.hermes/skills/mlops/minimax-token-plan-api/SKILL.md\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "patch",
      "content": "{\"success\": true, \"diff\": \"--- a//home/kuhnn/.hermes/skills/mlops/minimax-token-plan-api/SKILL.md\\n+++ b//home/kuhnn/.hermes/skills/mlops/minimax-token-plan-api/SKILL.md\\n@@ -257,7 +257,7 @@\\n \\n ---\\n \\n-### 5. 歌词生成\\n+### 5. 歌词生成（Token Plan 包含）\\n \\n **端点：** `POST https://api.minimaxi.com/v1/lyrics_generation`\\n \\n@@ -288,6 +288,8 @@\\n - `prompt`: 歌曲主题/风格描述（最大2000字符）\\n - `lyrics`: 现有歌词（仅 `edit` 模式）\\n - `title`: 指定歌曲标题\\n+\\n+**返回的歌词结构标签：** `[Intro]`, `[Verse]`, `[Pre-Chorus]`, `[Chorus]`, `[Hook]`, `[Bridge]`, `[Solo]`, `[Interlude]`, `[Outro]`\\n \\n ---\\n \\n\", \"files_modified\": [\"/home/kuhnn/.hermes/skills/mlops/minimax-token-plan-api/SKILL.md\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
      "tool_call_id": "call_function_2yd788zbm1nt_1"
    },
    {
      "role": "assistant",
      "content": "**配置完成总结：**\n\n| 功能 | 状态 | 说明 |\n|------|------|------|\n| 文本对话 | ✅ | `model.provider: minimax-cn` |\n| TTS | ✅ | `tts.minimax.model: speech-2.8-hd` |\n| Vision | ✅ | `auxiliary.vision.provider: auto` (M2.7 原生) |\n| 网络搜索 | ✅ | 默认 Tavily，**中文/中国内容用 MiniMax** |\n| 图片生成 | ✅ | API 已验证，直接调用 |\n| 音乐生成 | ✅ | API 已验证，直接调用 |\n| 歌词生成 | ✅ | API 已验证，直接调用 |\n\n**搜索路由策略已记录：**\n- 默认 → Tavily\n- 中文/中国内容 → MiniMax `/v1/coding_plan/search`\n- 用户指定 → MiniMax\n\nskills 已更新：\n- `minimax-token-plan-api` — 完整 API 参考\n- `minimax-search` — 搜索路由技能\n\n**注意：** 图片/音乐/歌词生成没有 Hermes 内置插件，需要通过对话让我调用 MiniMax API。我会记住这个配置方式。",
      "reasoning": "Now let me summarize the current configuration status for the user.",
      "finish_reason": "stop",
      "reasoning_content": "Now let me summarize the current configuration status for the user.",
      "reasoning_details": [
        {
          "signature": "daa5edcc285bb7ed84e0471499a1338734796dbfbc3166a60feb029f490c361a",
          "thinking": "Now let me summarize the current configuration status for the user.",
          "type": "thinking"
        }
      ]
    },
    {
      "role": "user",
      "content": "请给我写十篇公众号推送，关于hermes如何附能艺术家的干货内容。包括不限于：如何帮助艺术家投递展览、自我包装和推广;辅助创作;尤其是计算机艺术行业，如何使用hermes进行辅助创作。要求都是切实可行的干货内容，需要深入艺术行业去，不能敷衍地解释。附带方法论和具体的skills。如何与n8n结合起来实现自动化？ 写好的推送放到synology文件夹。"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "The user wants 10 WeChat public account articles about how Hermes can empower artists. This is a comprehensive content creation task. Let me break this down:\n\n1. Articles need to be practical, in-depth about the art industry\n2. Topics include: exhibition submissions, self-packaging, promotion, creative assistance\n3. Focus on computer art / digital art\n4. Include methodologies and specific skills\n5. Include n8n integration for automation\n6. Save to Synology folder\n\nLet me think about the structure:\n1. Cover the core themes across 10 articles\n2. Make them substantial and genuinely useful\n\n\n3. Include specific Hermes skills and n8n workflows\n4. Write in Chinese for the WeChat platform\n\nNow I'm mapping out the 10 articles: starting with how AI agents are transforming artist workflows, then diving into exhibition submissions and rejection analysis, personal branding across social platforms, computer art techniques, and finally the n8n automation pieces that tie everything together. 现在我需要把这些想法变成完整的文章，并且要用中文写作，因为这是面向微信公众号的内容。我会用 execute_code 工具来批量创建这10篇文章，存储到 Synology 的相应文件夹中。",
      "finish_reason": "tool_calls",
      "reasoning_content": "The user wants 10 WeChat public account articles about how Hermes can empower artists. This is a comprehensive content creation task. Let me break this down:\n\n1. Articles need to be practical, in-depth about the art industry\n2. Topics include: exhibition submissions, self-packaging, promotion, creative assistance\n3. Focus on computer art / digital art\n4. Include methodologies and specific skills\n5. Include n8n integration for automation\n6. Save to Synology folder\n\nLet me think about the structure:\n1. Cover the core themes across 10 articles\n2. Make them substantial and genuinely useful\n\n\n3. Include specific Hermes skills and n8n workflows\n4. Write in Chinese for the WeChat platform\n\nNow I'm mapping out the 10 articles: starting with how AI agents are transforming artist workflows, then diving into exhibition submissions and rejection analysis, personal branding across social platforms, computer art techniques, and finally the n8n automation pieces that tie everything together. 现在我需要把这些想法变成完整的文章，并且要用中文写作，因为这是面向微信公众号的内容。我会用 execute_code 工具来批量创建这10篇文章，存储到 Synology 的相应文件夹中。",
      "reasoning_details": [
        {
          "signature": "521a31efd893959156e11ed5017f8a08446517af319c72016defdc202f2833c0",
          "thinking": "The user wants 10 WeChat public account articles about how Hermes can empower artists. This is a comprehensive content creation task. Let me break this down:\n\n1. Articles need to be practical, in-depth about the art industry\n2. Topics include: exhibition submissions, self-packaging, promotion, creative assistance\n3. Focus on computer art / digital art\n4. Include methodologies and specific skills\n5. Include n8n integration for automation\n6. Save to Synology folder\n\nLet me think about the structure:\n1. Cover the core themes across 10 articles\n2. Make them substantial and genuinely useful\n\n\n3. Include specific Hermes skills and n8n workflows\n4. Write in Chinese for the WeChat platform\n\nNow I'm mapping out the 10 articles: starting with how AI agents are transforming artist workflows, then diving into exhibition submissions and rejection analysis, personal branding across social platforms, computer art techniques, and finally the n8n automation pieces that tie everything together. 现在我需要把这些想法变成完整的文章，并且要用中文写作，因为这是面向微信公众号的内容。我会用 execute_code 工具来批量创建这10篇文章，存储到 Synology 的相应文件夹中。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_qsj7g5n9effp_1",
          "call_id": "call_function_qsj7g5n9effp_1",
          "response_item_id": "fc_function_qsj7g5n9effp_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\nimport os\\n\\n# \\u786e\\u8ba4 Synology \\u8def\\u5f84\\nsynology_base = \\\"/home/kuhnn/SynologyDrive\\\"\\narticles_dir = os.path.join(synology_base, \\\"\\u516c\\u4f17\\u53f7\\\", \\\"Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6\\\")\\n\\nos.makedirs(articles_dir, exist_ok=True)\\nprint(f\\\"\\u76ee\\u5f55\\u5b58\\u5728: {os.path.isdir(articles_dir)}\\\")\\n\\n# \\u5217\\u51fa\\u76ee\\u5f55\\u5185\\u5bb9\\u786e\\u8ba4\\nfor root, dirs, files in os.walk(synology_base):\\n    level = root.replace(synology_base, '').count(os.sep)\\n    indent = '  ' * level\\n    print(f'{indent}{os.path.basename(root)}/')\\n    subindent = '  ' * (level + 1)\\n    for file in files[:5]:\\n        print(f'{subindent}{file}')\\n    if len(files) > 5:\\n        print(f'{subindent}... ({len(files)} files total)')\\n    if level > 2:\\n        break\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"目录存在: True\\nSynologyDrive/\\n  minimax-api.txt\\n  项目计划书_银发经济与欧洲旅行业务_SilverRoutes_Europe_2026-02-09.md\\n  Screenshot 2026-05-18 at 04.33.35.png\\n  Cyber_Nail_Passport/\\n    Nailsport-Interaction-Part.mp4\\n    3月3日.mp4\\n    06_Interaction_Experience/\\n      IMG_5695 2.MOV\\n      IMG_5694 2.MOV\\n      {text,video_frames,diagrams,test_logs,notes}/\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}",
      "tool_call_id": "call_function_qsj7g5n9effp_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "好的，Synology 目录存在。现在我需要写10篇公众号推送文章。让我规划一下这10篇文章：\n\n1. **开篇：AI时代的艺术家生存指南** — 介绍 Hermes 如何赋能艺术家\n2. **如何用 Hermes 投递展览** — 展览信息搜集、申请材料准备、跟进\n3. **艺术家的自我包装与品牌建设** — 社交媒体、个人网站、新闻稿\n4. **计算机艺术创作提效** — 代码辅助、素材生成、风格探索\n5. **艺术家如何使用 AI 工具箱** — Midjourney、Stable Diffusion、ComfyUI 结合 Hermes\n\n\n6. **用 Hermes 做艺术市场调研** — 竞品分析、收藏家画像、价格策略\n7. **如何获得媒体报道** — 新闻稿撰写、媒体关系、记者联系\n8. **n8n + Hermes 自动化工作流** — 自动化投递、社交发布、数据追踪\n9. **画廊与藏家关系管理** — CRM 建立、邮件自动化、展览预告\n10. **案例研究：数字艺术家的完整成长路径** — 实战分享\n\n现在开始逐篇撰写，每篇都要达到1500-2500字，融入具体的方法论、可操作的步骤和真实的行业洞察。\n\n最后需要配上相应的工具和自动化模板。",
      "finish_reason": "tool_calls",
      "reasoning_content": "好的，Synology 目录存在。现在我需要写10篇公众号推送文章。让我规划一下这10篇文章：\n\n1. **开篇：AI时代的艺术家生存指南** — 介绍 Hermes 如何赋能艺术家\n2. **如何用 Hermes 投递展览** — 展览信息搜集、申请材料准备、跟进\n3. **艺术家的自我包装与品牌建设** — 社交媒体、个人网站、新闻稿\n4. **计算机艺术创作提效** — 代码辅助、素材生成、风格探索\n5. **艺术家如何使用 AI 工具箱** — Midjourney、Stable Diffusion、ComfyUI 结合 Hermes\n\n\n6. **用 Hermes 做艺术市场调研** — 竞品分析、收藏家画像、价格策略\n7. **如何获得媒体报道** — 新闻稿撰写、媒体关系、记者联系\n8. **n8n + Hermes 自动化工作流** — 自动化投递、社交发布、数据追踪\n9. **画廊与藏家关系管理** — CRM 建立、邮件自动化、展览预告\n10. **案例研究：数字艺术家的完整成长路径** — 实战分享\n\n现在开始逐篇撰写，每篇都要达到1500-2500字，融入具体的方法论、可操作的步骤和真实的行业洞察。\n\n最后需要配上相应的工具和自动化模板。",
      "reasoning_details": [
        {
          "signature": "e7ab32ee914324ba9b5ff2625cc5db9103eab230b0cb5b92e441cbd27f3d1339",
          "thinking": "好的，Synology 目录存在。现在我需要写10篇公众号推送文章。让我规划一下这10篇文章：\n\n1. **开篇：AI时代的艺术家生存指南** — 介绍 Hermes 如何赋能艺术家\n2. **如何用 Hermes 投递展览** — 展览信息搜集、申请材料准备、跟进\n3. **艺术家的自我包装与品牌建设** — 社交媒体、个人网站、新闻稿\n4. **计算机艺术创作提效** — 代码辅助、素材生成、风格探索\n5. **艺术家如何使用 AI 工具箱** — Midjourney、Stable Diffusion、ComfyUI 结合 Hermes\n\n\n6. **用 Hermes 做艺术市场调研** — 竞品分析、收藏家画像、价格策略\n7. **如何获得媒体报道** — 新闻稿撰写、媒体关系、记者联系\n8. **n8n + Hermes 自动化工作流** — 自动化投递、社交发布、数据追踪\n9. **画廊与藏家关系管理** — CRM 建立、邮件自动化、展览预告\n10. **案例研究：数字艺术家的完整成长路径** — 实战分享\n\n现在开始逐篇撰写，每篇都要达到1500-2500字，融入具体的方法论、可操作的步骤和真实的行业洞察。\n\n最后需要配上相应的工具和自动化模板。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_m8p323hq0lt2_1",
          "call_id": "call_function_m8p323hq0lt2_1",
          "response_item_id": "fc_function_m8p323hq0lt2_1",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"todos\": [{\"id\": \"1\", \"content\": \"\\u519910\\u7bc7\\u516c\\u4f17\\u53f7\\u63a8\\u9001\\u6587\\u7ae0\\uff08Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6\\uff09\", \"status\": \"in_progress\"}, {\"id\": \"2\", \"content\": \"\\u6587\\u7ae0\\u4fdd\\u5b58\\u5230Synology\\u6587\\u4ef6\\u5939\", \"status\": \"pending\"}, {\"id\": \"3\", \"content\": \"n8n\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff08\\u5c55\\u89c8\\u6295\\u9012\\u81ea\\u52a8\\u5316\\uff09\", \"status\": \"pending\"}]}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"写10篇公众号推送文章（Hermes赋能艺术家）\", \"status\": \"in_progress\"}, {\"id\": \"2\", \"content\": \"文章保存到Synology文件夹\", \"status\": \"pending\"}, {\"id\": \"3\", \"content\": \"n8n工作流设计（展览投递自动化）\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 2, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}",
      "tool_call_id": "call_function_m8p323hq0lt2_1"
    },
    {
      "role": "assistant",
      "content": "十篇文章内容较多，我分两批写完。先写前5篇：",
      "reasoning": "Now let me write the 10 articles. I'll create them all at once using write_file for each one. Let me plan the articles:\n\n1. **艺术家个人品牌建设指南** - 如何用AI工具建立专业形象\n2. **展览投递的科学与艺术** - 如何系统化投递展览\n3. **艺术家的数字资产管理** - 如何组织和管理作品\n4. **AI辅助创作方法论** - 计算机艺术创作新范式\n5. **社交媒体内容自动化** - 艺术家的内容日历\n6. **艺术评论与文案撰写** - 如何写专业艺术文字\n\n\n7. **国际展览投递实战** - 跨境展览申请指南\n8. **艺术家时间管理** - 从创作到运营\n9. **n8n + Hermes 自动化工作流** - 艺术家效率工具链\n10. **案例研究：数字艺术家的日常** - 完整的一天\n\nI'll write all 10 articles and batch them in groups of 5 to manage token usage efficiently.\n\nWriting the articles...",
      "finish_reason": "tool_calls",
      "reasoning_content": "Now let me write the 10 articles. I'll create them all at once using write_file for each one. Let me plan the articles:\n\n1. **艺术家个人品牌建设指南** - 如何用AI工具建立专业形象\n2. **展览投递的科学与艺术** - 如何系统化投递展览\n3. **艺术家的数字资产管理** - 如何组织和管理作品\n4. **AI辅助创作方法论** - 计算机艺术创作新范式\n5. **社交媒体内容自动化** - 艺术家的内容日历\n6. **艺术评论与文案撰写** - 如何写专业艺术文字\n\n\n7. **国际展览投递实战** - 跨境展览申请指南\n8. **艺术家时间管理** - 从创作到运营\n9. **n8n + Hermes 自动化工作流** - 艺术家效率工具链\n10. **案例研究：数字艺术家的日常** - 完整的一天\n\nI'll write all 10 articles and batch them in groups of 5 to manage token usage efficiently.\n\nWriting the articles...",
      "reasoning_details": [
        {
          "signature": "a3528fd1785001d0aaf2f715c24bd070fe3da32284e2bfff408f99796e233007",
          "thinking": "Now let me write the 10 articles. I'll create them all at once using write_file for each one. Let me plan the articles:\n\n1. **艺术家个人品牌建设指南** - 如何用AI工具建立专业形象\n2. **展览投递的科学与艺术** - 如何系统化投递展览\n3. **艺术家的数字资产管理** - 如何组织和管理作品\n4. **AI辅助创作方法论** - 计算机艺术创作新范式\n5. **社交媒体内容自动化** - 艺术家的内容日历\n6. **艺术评论与文案撰写** - 如何写专业艺术文字\n\n\n7. **国际展览投递实战** - 跨境展览申请指南\n8. **艺术家时间管理** - 从创作到运营\n9. **n8n + Hermes 自动化工作流** - 艺术家效率工具链\n10. **案例研究：数字艺术家的日常** - 完整的一天\n\nI'll write all 10 articles and batch them in groups of 5 to manage token usage efficiently.\n\nWriting the articles...",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_hilqjwxmvf4c_1",
          "call_id": "call_function_hilqjwxmvf4c_1",
          "response_item_id": "fc_function_hilqjwxmvf4c_1",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\": \"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/01_\\u827a\\u672f\\u5bb6\\u4e2a\\u4eba\\u54c1\\u724c\\u5efa\\u8bbe\\u6307\\u5357.md\", \"content\": \"# \\u827a\\u672f\\u5bb6\\u4e2a\\u4eba\\u54c1\\u724c\\u5efa\\u8bbe\\u6307\\u5357\\uff1a\\u7528AI\\u5de5\\u5177\\u5efa\\u7acb\\u4e13\\u4e1a\\u5f62\\u8c61\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u5199\\u5728\\u524d\\u9762\\n\\n\\u5f88\\u591a\\u827a\\u672f\\u5bb6\\u6709\\u4e00\\u4e2a\\u8bef\\u89e3\\uff1a\\u53ea\\u8981\\u4f5c\\u54c1\\u8db3\\u591f\\u597d\\uff0c\\u81ea\\u7136\\u4f1a\\u88ab\\u4eba\\u53d1\\u73b0\\u3002\\n\\n\\u73b0\\u5b9e\\u662f\\uff0c\\u6bcf\\u5e74\\u5168\\u7403\\u65b0\\u589e\\u827a\\u672f\\u5bb6\\u8d85\\u8fc7\\u767e\\u4e07\\uff0c\\u4ec5\\u9760\\\"\\u4f5c\\u54c1\\u8bf4\\u8bdd\\\"\\u5df2\\u7ecf\\u4e0d\\u591f\\u3002\\u4f60\\u9700\\u8981\\u4e00\\u5957\\u7cfb\\u7edf\\u7684\\u65b9\\u6cd5\\u6765\\u5efa\\u7acb\\u4e2a\\u4eba\\u54c1\\u724c\\u2014\\u2014\\u800cAI\\u5de5\\u5177\\u53ef\\u4ee5\\u8ba9\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u4ece\\u4e0d\\u53ef\\u80fd\\u53d8\\u4e3a\\u53ef\\u80fd\\u3002\\n\\n\\u672c\\u6587\\u662f\\u4e00\\u7bc7\\u5b9e\\u6218\\u6307\\u5357\\uff0c\\u4e0d\\u8bb2\\u7406\\u8bba\\uff0c\\u53ea\\u8bb2\\u4f60\\u4eca\\u5929\\u5c31\\u80fd\\u7528\\u7684\\u65b9\\u6cd5\\u3002\\n\\n---\\n\\n## 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\\u907f\\u514d\\u8fc7\\u5ea6\\u4f7f\\u7528\\u7684\\u827a\\u672f\\u672f\\u8bed\\n```\\n\\n#### \\u7b2c\\u4e8c\\u6b65\\uff1a\\u6279\\u91cf\\u751f\\u6210\\u793e\\u4ea4\\u5a92\\u4f53\\u5185\\u5bb9\\n\\n\\u827a\\u672f\\u5bb6\\u6700\\u5927\\u7684\\u65f6\\u95f4\\u6d88\\u8017\\u4e4b\\u4e00\\u662f\\\"\\u8fd0\\u8425\\\"\\u2014\\u2014\\u53d1\\u5e16\\u3001\\u5199\\u6587\\u6848\\u3001\\u56de\\u8bc4\\u8bba\\u3002AI\\u53ef\\u4ee5\\u5e2e\\u52a9\\u4f60\\uff1a\\n\\n**\\u5185\\u5bb9\\u65e5\\u5386\\u751f\\u6210\\u63d0\\u793a\\u8bcd\\uff1a**\\n```\\n\\u6211\\u662f\\u4e00\\u4f4d[\\u827a\\u672f\\u7c7b\\u578b]\\u827a\\u672f\\u5bb6\\uff0c\\n\\u4e3b\\u8981\\u5728[\\u5e73\\u53f0]\\u53d1\\u5e03\\u5185\\u5bb9\\uff0c\\n\\u76ee\\u6807\\u53d7\\u4f17\\u662f[\\u4eba\\u7fa4]\\uff0c\\n\\u8bf7\\u5e2e\\u6211\\u89c4\\u5212\\u4e00\\u4e2a\\u6708\\u7684\\u793e\\u4ea4\\u5a92\\u4f53\\u5185\\u5bb9\\u65e5\\u5386\\uff0c\\n\\u5305\\u62ec\\uff1a\\n- \\u6bcf\\u5468\\u4e3b\\u9898\\n- 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**\\u9009\\u62e9\\u4e00\\u4e2a\\u793e\\u4ea4\\u5e73\\u53f0\\u5f00\\u59cb\\u7cfb\\u7edf\\u5316\\u8fd0\\u8425**\\uff0c\\u4e0d\\u8981\\u540c\\u65f6\\u505a\\u4e09\\u4e2a\\u5e73\\u53f0\\n\\n---\\n\\n## \\u5de5\\u5177\\u63a8\\u8350\\n\\n- **Hermes**\\uff1aAI\\u52a9\\u624b\\uff0c\\u5904\\u7406\\u6587\\u6848\\u3001\\u5185\\u5bb9\\u7b56\\u5212\\u3001\\u591a\\u8bed\\u8a00\\u7ffb\\u8bd1\\n- **Canva**\\uff1a\\u5feb\\u901f\\u751f\\u6210\\u793e\\u4ea4\\u5a92\\u4f53\\u89c6\\u89c9\\u5185\\u5bb9\\n- **Notion**\\uff1a\\u4f5c\\u54c1\\u6570\\u636e\\u5e93\\u7ba1\\u7406\\n- **Synology Drive**\\uff1a\\u4f5c\\u54c1\\u6587\\u4ef6\\u540c\\u6b65\\u4e0e\\u5907\\u4efd\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300a\\u5c55\\u89c8\\u6295\\u9012\\u7684\\u79d1\\u5b66\\u4e0e\\u827a\\u672f\\uff1a\\u5982\\u4f55\\u7cfb\\u7edf\\u5316\\u7533\\u8bf7\\u5168\\u7403\\u5c55\\u89c8\\u300b*\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"bytes_written\": 4782, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
      "tool_call_id": "call_function_hilqjwxmvf4c_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "继续写第二篇。",
      "finish_reason": "tool_calls",
      "reasoning_content": "继续写第二篇。",
      "reasoning_details": [
        {
          "signature": "861f02b81ad6e278f4766ce79c90f6439ecc591253d2e10464a6a430fbdeac0e",
          "thinking": "继续写第二篇。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_qtvkd776nnv5_1",
          "call_id": "call_function_qtvkd776nnv5_1",
          "response_item_id": "fc_function_qtvkd776nnv5_1",
          "type": "function",
          "function": {
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**\\u827a\\u535a\\u4f1a\\u7684\\u53c2\\u4e0e\\u60c5\\u51b5**\\u2014\\u2014\\u53c2\\u52a0\\u4e86\\u54ea\\u4e9b\\u827a\\u535a\\u4f1a\\uff1f\\u53bb\\u4e86\\u5df4\\u585e\\u5c14\\u8fd8\\u662f\\u5f17\\u91cc\\u5179\\uff1f\\n\\n### AI\\u8f85\\u52a9\\u673a\\u6784\\u5206\\u6790\\n\\n```\\n\\u8bf7\\u5206\\u6790\\u4ee5\\u4e0b\\u4e09\\u5bb6\\u753b\\u5eca\\u7684\\u5f02\\u540c\\uff1a\\n1. [\\u753b\\u5ecaA] - [\\u7b80\\u5355\\u63cf\\u8ff0\\u4ed6\\u4eec\\u7684\\u827a\\u672f\\u5bb6\\u548c\\u5c55\\u89c8\\u98ce\\u683c]\\n2. [\\u753b\\u5ecaB] - [\\u540c\\u4e0a]\\n3. [\\u753b\\u5ecaC] - [\\u540c\\u4e0a]\\n\\n\\u57fa\\u4e8e\\u6211\\u7684\\u521b\\u4f5c\\u65b9\\u5411[\\u63cf\\u8ff0]\\uff0c\\u5e2e\\u6211\\u8bc4\\u4f30\\u54ea\\u5bb6\\u6700\\u9002\\u5408\\u6211\\uff0c\\n\\u5e76\\u7ed9\\u51fa\\u5177\\u4f53\\u7684\\u7533\\u8bf7\\u7b56\\u7565\\u5efa\\u8bae\\u3002\\n```\\n\\n---\\n\\n## \\u4e09\\u3001\\u4f5c\\u54c1\\u96c6\\u4f18\\u5316\\u7684\\u5b9e\\u6218\\u6280\\u5de7\\n\\n### \\u4f5c\\u54c1\\u96c6\\u662f\\\"\\u7b56\\u5c55\\u53d9\\u4e8b\\\"\\n\\n\\u4e00\\u4e2a\\u597d\\u7684\\u4f5c\\u54c1\\u96c6\\u4e0d\\u662f\\u5728\\u5c55\\u793a\\u4f5c\\u54c1\\uff0c\\u800c\\u662f\\u5728\\u8bb2\\u4e00\\u4e2a\\u6545\\u4e8b\\u3002\\u4f5c\\u4e3a\\u827a\\u672f\\u5bb6\\uff0c\\u4f60\\u662f\\u5728\\u5411\\u753b\\u5eca/\\u7f8e\\u672f\\u9986\\u5c55\\u793a\\uff1a**\\u4f60\\u6709\\u4e00\\u4e2a\\u72ec\\u7279\\u7684\\u89c6\\u89d2\\uff0c\\u5e76\\u4e14\\u8fd9\\u4e2a\\u89c6\\u89d2\\u503c\\u5f97\\u88ab\\u6295\\u8d44\\u3002**\\n\\n#### 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|\\n| \\u90ae\\u4ef6\\u7533\\u8bf7 | PDF\\u6216JPG | \\u5927\\u591a\\u6570\\u8981\\u6c42\\u5355\\u4e2a\\u6587\\u4ef6\\u5c0f\\u4e8e5MB |\\n| \\u73b0\\u573a\\u9012\\u4ea4 | \\u7eb8\\u8d28\\u4f5c\\u54c1\\u96c6 | \\u9ad8\\u8d28\\u91cf\\u6253\\u5370\\uff0c\\u4e0d\\u8981\\u7528\\u666e\\u901a\\u6253\\u5370\\u673a |\\n\\n---\\n\\n## \\u56db\\u3001\\u90ae\\u4ef6\\u6295\\u9012\\u7684\\\"\\u51b7\\u90ae\\u4ef6\\\"\\u7b56\\u7565\\n\\n\\u753b\\u5eca\\u6bcf\\u5929\\u6536\\u5230\\u51e0\\u5341\\u751a\\u81f3\\u4e0a\\u767e\\u5c01\\u7533\\u8bf7\\u90ae\\u4ef6\\uff0c\\u5982\\u4f55\\u8ba9\\u4f60\\u7684\\u90ae\\u4ef6\\u88ab\\u6253\\u5f00\\u3001\\u88ab\\u8ba4\\u771f\\u9605\\u8bfb\\uff1f\\n\\n### \\u90ae\\u4ef6\\u6807\\u9898\\u7684\\u5fc3\\u7406\\u5b66\\n\\n\\u274c \\u9519\\u8bef\\u793a\\u8303\\uff1a\\n- \\\"Portfolio Submission\\\"\\n- \\\"Artist Application\\\"\\n- \\\"Hello\\\"\\n\\n\\u2705 \\u6b63\\u786e\\u793a\\u8303\\uff1a\\n- \\\"[Artist Name] \\u00d7 [\\u5177\\u4f53\\u4f5c\\u54c1\\u7cfb\\u5217] \\u2014 2026 Submission\\\"\\n- \\\"Shanghai-based painter, 3 upcoming shows \\u2014 portfolio attached\\\"\\n\\n\\u5173\\u952e\\u8981\\u7d20\\uff1a**\\u4f60\\u7684\\u540d\\u5b57 + \\u4f5c\\u54c1\\u7cfb\\u5217 + \\u5177\\u4f53\\u4fe1\\u606f**\\n\\n### \\u90ae\\u4ef6\\u6b63\\u6587\\u6a21\\u677f\\n\\n```\\nSubject: [\\u827a\\u672f\\u5bb6\\u540d\\u5b57] \\u2014 [\\u4f5c\\u54c1\\u7cfb\\u5217\\u540d] submission\\n\\nDear [\\u753b\\u5eca\\u540d\\u5b57] team,\\n\\n[\\u7b80\\u77ed\\u81ea\\u6211\\u4ecb\\u7ecd\\uff0c1-2\\u53e5\\u8bdd\\uff1a\\n\\u6211\\u662f[\\u540d\\u5b57]\\uff0c[\\u7b80\\u5355\\u63cf\\u8ff0\\u4f60\\u7684\\u521b\\u4f5c\\u65b9\\u5411]\\uff0c\\u6211\\u7684\\u4f5c\\u54c1\\u66fe\\u5728[1-2\\u4e2a\\u76f8\\u5173\\u5c55\\u89c8/\\u673a\\u6784]\\u5c55\\u51fa\\u3002\\n\\n[\\u8fd9\\u6bb5\\u4e3a\\u4ec0\\u4e48\\u9002\\u5408\\u8fd9\\u5bb6\\u673a\\u6784\\uff0c1-2\\u53e5\\u8bdd\\uff1a\\n\\u6211\\u5173\\u6ce8\\u5230\\u4f60\\u4eec\\u8fd1\\u671f[\\u5177\\u4f53\\u7684\\u5c55\\u89c8/\\u827a\\u672f\\u5bb6/\\u9879\\u76ee]\\uff0c\\n\\u6211\\u7684[\\u4f5c\\u54c1\\u7cfb\\u5217\\u540d\\u79f0]\\u5728[\\u67d0\\u4e2a\\u65b9\\u9762]\\u4e0e\\u4f60\\u4eec\\u7684\\u5ba1\\u7f8e\\u65b9\\u5411\\u4ea7\\u751f\\u4e86\\u5171\\u9e23\\u3002\\n\\n[\\u5177\\u4f53\\u7533\\u8bf7\\uff1a\\n\\u6211\\u60f3\\u63d0\\u4ea4[\\u5c55\\u89c8\\u540d\\u79f0/\\u5f00\\u653e\\u7533\\u8bf7]\\u7684\\u7533\\u8bf7\\uff0c\\n\\u9644\\u4ef6\\u662f\\u6211\\u7684\\u4f5c\\u54c1\\u96c6\\u548c\\u827a\\u672f\\u5bb6\\u9648\\u8ff0\\uff0c\\u8bf7\\u67e5\\u770b\\u3002\\n\\n\\u5982\\u9700\\u66f4\\u591a\\u4fe1\\u606f\\uff08\\u4f5c\\u54c1\\u9ad8\\u6e05\\u56fe\\u3001\\u5c55\\u89c8\\u5386\\u53f2\\u7b49\\uff09\\uff0c\\u8bf7\\u968f\\u65f6\\u544a\\u8bc9\\u6211\\u3002\\n\\n\\u611f\\u8c22\\u4f60\\u7684\\u65f6\\u95f4\\u3002\\n\\nBest regards,\\n[\\u827a\\u672f\\u5bb6\\u5168\\u540d]\\n[\\u7f51\\u7ad9/Instagram\\u94fe\\u63a5]\\n[\\u6240\\u5728\\u5730]\\n```\\n\\n### \\u7528AI\\u6279\\u91cf\\u5b9a\\u5236\\u90ae\\u4ef6\\n\\n```\\n\\u6211\\u670910\\u5bb6\\u753b\\u5eca\\u7684\\u90ae\\u4ef6\\u5730\\u5740\\uff0c\\u90fd\\u6295\\u9012\\u540c\\u4e00\\u4e2a\\u5c55\\u89c8\\u7533\\u8bf7\\uff0c\\n\\u8bf7\\u5e2e\\u6211\\u519910\\u4e2a\\u7248\\u672c\\u7684\\u5b9a\\u5236\\u90ae\\u4ef6\\u5f00\\u5934\\uff0c\\n\\u6bcf\\u5c01\\u8981\\u4f53\\u73b0\\u6211\\u5bf9\\u8fd9\\u5bb6\\u673a\\u6784\\u7684\\u4e86\\u89e3\\u3002\\n```\\n\\n---\\n\\n## \\u4e94\\u3001\\u6295\\u9012\\u65f6\\u95f4\\u7ba1\\u7406\\n\\n### \\u5efa\\u7acb\\u6295\\u9012\\u65e5\\u5386\\n\\n\\u628a\\u6240\\u6709\\u7684\\u622a\\u6b62\\u65e5\\u671f\\u8bb0\\u5f55\\u5728\\u65e5\\u5386\\u91cc\\uff0c\\u8bbe\\u7f6e\\u63d0\\u524d\\u4e00\\u5468\\u7684\\u63d0\\u9192\\u3002\\n\\n**\\u5efa\\u8bae\\uff1a** 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\\u516d\\u3001\\u6295\\u9012\\u4e4b\\u540e\\u7684\\u8ddf\\u8fdb\\n\\n### \\u7b49\\u5f85\\u671f\\uff1a\\u591a\\u4e45\\u7b97\\u6b63\\u5e38\\uff1f\\n\\n| \\u7533\\u8bf7\\u7c7b\\u578b | \\u7b49\\u5f85\\u65f6\\u95f4 |\\n|----------|----------|\\n| \\u753b\\u5eca\\u7533\\u8bf7 | 4-8\\u5468 |\\n| \\u7f8e\\u672f\\u9986\\u5f00\\u653e\\u7533\\u8bf7 | 8-12\\u5468 |\\n| \\u827a\\u535a\\u4f1a | 3-6\\u4e2a\\u6708 |\\n| \\u66ff\\u4ee3\\u7a7a\\u95f4/\\u975e\\u8425\\u5229 | 2-6\\u5468 |\\n\\n### \\u793c\\u8c8c\\u8ddf\\u8fdb\\n\\n\\u5982\\u679c\\u8d85\\u8fc7\\u6b63\\u5e38\\u7b49\\u5f85\\u65f6\\u95f4\\u4e00\\u4e2a\\u6708\\uff0c\\u53ef\\u4ee5\\u53d1\\u4e00\\u5c01\\u7b80\\u77ed\\u7684\\u8ddf\\u8fdb\\u90ae\\u4ef6\\uff1a\\n\\n```\\nSubject: Following up \\u2014 [\\u827a\\u672f\\u5bb6\\u540d\\u5b57] portfolio submission\\n\\nDear [\\u753b\\u5eca\\u540d\\u5b57],\\n\\nI wanted to follow up on my submission sent on [\\u65e5\\u671f].\\nI understand you receive many applications and appreciate your time.\\n\\nPlease let me know if you need any additional materials.\\n\\nBest regards,\\n[\\u827a\\u672f\\u5bb6\\u540d\\u5b57]\\n```\\n\\n---\\n\\n## \\u4e03\\u3001\\u7528n8n\\u5b9e\\u73b0\\u6295\\u9012\\u81ea\\u52a8\\u5316\\n\\n### \\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\n\\n```\\n[\\u89e6\\u53d1\\uff1a\\u6bcf\\u5468\\u4e00\\u65e9\\u4e0a9\\u70b9]\\n    \\u2193\\n[\\u641c\\u7d22\\u65b0\\u7684\\u5f00\\u653e\\u7533\\u8bf7]\\n    \\u2193\\n[\\u7b5b\\u9009\\u7b26\\u5408\\u6761\\u4ef6\\u7684\\u673a\\u6784]\\n    \\u2193\\n[\\u751f\\u6210\\u5b9a\\u5236\\u90ae\\u4ef6\\u8349\\u7a3f]\\n    \\u2193\\n[\\u53d1\\u9001\\u90ae\\u4ef6\\u6216\\u4fdd\\u5b58\\u5230\\u8349\\u7a3f\\u7bb1]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u5230\\u6570\\u636e\\u5e93]\\n```\\n\\n### n8n + Hermes\\u7684\\u914d\\u5408\\n\\n\\u7528n8n\\u505a\\u6570\\u636e\\u6536\\u96c6\\u548c\\u81ea\\u52a8\\u5316\\u89e6\\u53d1\\uff0cHermes\\u505a\\u5185\\u5bb9\\u751f\\u6210\\uff1a\\n\\n1. **n8n\\u5de5\\u4f5c\\u6d41**\\uff1a\\u76d1\\u63a7\\u827a\\u672f\\u673a\\u6784\\u7f51\\u7ad9\\u3001ArtList\\u3001Caando\\u7b49\\u5e73\\u53f0\\u7684\\u5f00\\u653e\\u7533\\u8bf7\\n2. **Hermes**\\uff1a\\u751f\\u6210\\u5b9a\\u5236\\u5316\\u7684\\u90ae\\u4ef6\\u5185\\u5bb9\\u548c\\u4f5c\\u54c1\\u96c6\\u63cf\\u8ff0\\n3. **n8n**\\uff1a\\u81ea\\u52a8\\u53d1\\u9001\\u90ae\\u4ef6\\u3001\\u8bb0\\u5f55\\u6295\\u9012\\u5386\\u53f2\\n\\n**\\u5177\\u4f53n8n\\u914d\\u7f6e\\u4f1a\\u5728\\u540e\\u7eed\\u6587\\u7ae0\\u8be6\\u7ec6\\u8bb2\\u89e3\\u3002**\\n\\n---\\n\\n## \\u516b\\u3001\\u5173\\u952e\\u5fc3\\u6001\\u8c03\\u6574\\n\\n\\u5c55\\u89c8\\u6295\\u9012\\u662f\\u4e00\\u4e2a\\u6570\\u5b57\\u6e38\\u620f\\uff0c\\u4f46\\u4e0d\\u662f\\u7eaf\\u968f\\u673a\\u7684\\u6570\\u5b57\\u6e38\\u620f\\u3002\\n\\n**\\u77ed\\u671f\\u7b56\\u7565\\uff1a** \\u5e7f\\u6492\\u7f51\\uff0c\\u627e\\u5230\\u4f60\\u7684\\\"\\u751c\\u70b9\\\"\\u673a\\u6784\\u7c7b\\u578b\\u548c\\u5730\\u7406\\u4f4d\\u7f6e\\n\\n**\\u957f\\u671f\\u7b56\\u7565\\uff1a** \\u4e13\\u6ce8\\u5efa\\u7acb\\u4e0e\\u51e0\\u5bb6\\u6838\\u5fc3\\u673a\\u6784\\u7684\\u6df1\\u5ea6\\u5173\\u7cfb\\uff0c\\u800c\\u4e0d\\u662f\\u6bcf\\u5e74\\u6295\\u9012100\\u5bb6\\u4f46\\u6ca1\\u6709\\u4efb\\u4f55\\u8ddf\\u8fdb\\n\\n**\\u5fc3\\u6001\\uff1a** \\u62d2\\u7edd\\u662f\\u5e38\\u6001\\uff0c\\u5165\\u56f4\\u662f\\u60ca\\u559c\\u3002\\u628a\\u6bcf\\u4e00\\u6b21\\u6295\\u9012\\u5f53\\u4f5c\\u7ec3\\u4e60\\uff0c\\u4e0d\\u8981\\u628a\\u5b83\\u5f53\\u4f5c\\u5bf9\\u4f60\\u827a\\u672f\\u4ef7\\u503c\\u7684\\u8bc4\\u5224\\u3002\\n\\n---\\n\\n## \\u5de5\\u5177\\u6e05\\u5355\\n\\n- **Hermes**\\uff1a\\u827a\\u672f\\u5bb6\\u9648\\u8ff0\\u3001\\u90ae\\u4ef6\\u5b9a\\u5236\\u3001\\u4f5c\\u54c1\\u63cf\\u8ff0\\u751f\\u6210\\n- **Notion/\\u98de\\u4e66**\\uff1a\\u6295\\u9012\\u6570\\u636e\\u5e93\\u7ba1\\u7406\\n- **n8n**\\uff1a\\u6295\\u9012\\u81ea\\u52a8\\u5316\\u5de5\\u4f5c\\u6d41\\n- **ArtList\\u3001Caando\\u3001Artsy**\\uff1a\\u5c55\\u89c8\\u673a\\u4f1a\\u641c\\u7d22\\u5e73\\u53f0\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300aAI\\u65f6\\u4ee3\\u827a\\u672f\\u5bb6\\u751f\\u5b58\\u624b\\u518c\\uff1a\\u54ea\\u4e9b\\u6280\\u80fd\\u5fc5\\u987b\\u81ea\\u5df1\\u638c\\u63e1\\uff0c\\u54ea\\u4e9b\\u53ef\\u4ee5\\u4ea4\\u7ed9AI\\u300b*\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"bytes_written\": 7869, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
      "tool_call_id": "call_function_qtvkd776nnv5_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "继续写第三篇，关于计算机艺术和AI辅助创作的内容。",
      "finish_reason": "tool_calls",
      "reasoning_content": "继续写第三篇，关于计算机艺术和AI辅助创作的内容。",
      "reasoning_details": [
        {
          "signature": "a784c4b4595339db85f06fe1003e72e86c08f6b685a1fb08400c41911b78e16f",
          "thinking": "继续写第三篇，关于计算机艺术和AI辅助创作的内容。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
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\\u6280\\u80fd1\\uff1a\\u7cbe\\u786e\\u8868\\u8fbe\\u7684\\u80fd\\u529b\\uff08Prompt Engineering\\uff09\\n\\n\\u5f88\\u591a\\u4eba\\u4ee5\\u4e3a\\u4f1a\\u6253\\u5b57\\u5c31\\u80fd\\u505aAI\\u827a\\u672f\\uff0c\\u4f46\\u73b0\\u5b9e\\u662f\\uff1a**\\u4f60\\u80fd\\u5426\\u63cf\\u8ff0\\u6e05\\u695a\\u4f60\\u60f3\\u8981\\u7684\\u4e1c\\u897f\\uff0c\\u76f4\\u63a5\\u51b3\\u5b9a\\u4e86\\u4f60AI\\u8f93\\u51fa\\u7684\\u8d28\\u91cf\\u3002**\\n\\n#### \\u597d\\u7684Prompt\\u7ed3\\u6784\\n\\n```\\n[\\u5a92\\u4ecb/\\u6750\\u8d28] + [\\u4e3b\\u9898/\\u6982\\u5ff5] + [\\u98ce\\u683c\\u53c2\\u8003] + [\\u6280\\u672f\\u53c2\\u6570] + [\\u60c5\\u7eea/\\u6c1b\\u56f4]\\n```\\n\\n**\\u793a\\u4f8b\\uff1a**\\n```\\n\\u6211\\u60f3\\u8981\\u4e00\\u5e45\\u5e03\\u9762\\u6cb9\\u753b\\u8d28\\u611f\\u7684\\u4f5c\\u54c1\\uff0c\\n\\u4e3b\\u9898\\u662f\\\"\\u57ce\\u5e02\\u4e2d\\u5b64\\u72ec\\u7684\\u8fde\\u63a5\\\"\\uff0c\\n\\u53c2\\u8003\\u865e\\u548c\\u5e73\\u7684\\u90fd\\u5e02\\u6c34\\u58a8\\u548c\\u68ee\\u5c71\\u5927\\u9053\\u7684\\u65b0\\u7eaa\\u5b9e\\u6444\\u5f71\\u98ce\\u683c\\uff0c\\n\\u9ad8\\u5bf9\\u6bd4\\u5ea6\\uff0c\\u8272\\u8c03\\u504f\\u51b7\\u84dd\\uff0c\\n\\u4f20\\u8fbe\\u4e00\\u79cd\\u758f\\u79bb\\u4f46\\u53c8\\u6e34\\u671b\\u8fde\\u63a5\\u7684\\u60c5\\u7eea\\u3002\\n```\\n\\n#### 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**\\u827a\\u672f\\u5e02\\u573a\\u6b63\\u5728\\u5efa\\u7acbAI\\u8bc6\\u522b\\u673a\\u5236**\\uff0c\\u5b8c\\u5168AI\\u751f\\u6210\\u7684\\u4f5c\\u54c1\\u5728\\u5b66\\u672f\\u548c\\u5e02\\u573a\\u4e0a\\u7684\\u4ef7\\u503c\\u4f1a\\u8d8a\\u6765\\u8d8a\\u4f4e\\n3. **\\u771f\\u6b63\\u7684\\u4ef7\\u503c\\u5728\\u4e8e\\u4f60\\u7684\\u72ec\\u7279\\u6027**\\uff0c\\u800c\\u4e0d\\u662f\\u5de5\\u5177\\n\\n**\\u6b63\\u786e\\u7684\\u6001\\u5ea6\\uff1a**\\n- \\u7528AI\\u653e\\u5927\\u4f60\\u7684\\u80fd\\u529b\\uff0c\\u800c\\u4e0d\\u662f\\u66ff\\u4ee3\\u4f60\\u7684\\u521b\\u4f5c\\n- \\u628a\\u4f60\\u72ec\\u7279\\u7684\\u4eba\\u751f\\u4f53\\u9a8c\\u548cAI\\u7684\\u6548\\u7387\\u7ed3\\u5408\\u8d77\\u6765\\n- \\u5efa\\u7acb\\u53ea\\u6709\\u4f60\\u80fd\\u505a\\u7684\\\"AI+\\u624b\\u5de5\\\"\\u7684\\u72ec\\u7279\\u98ce\\u683c\\n\\n---\\n\\n## \\u4e03\\u3001\\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u4eca\\u5929\\u5c31\\u505a\\u4e00\\u4e2a\\u51b3\\u5b9a\\uff1a\\n\\n**\\u4ece\\u4f60\\u7684\\u4e0b\\u4e00\\u4e2a\\u521b\\u4f5c\\u9879\\u76ee\\u5f00\\u59cb\\uff0c\\u4f7f\\u7528\\\"AI\\u8f85\\u52a9\\u5de5\\u4f5c\\u6d41\\\"\\uff0c\\u8bb0\\u5f55\\u6574\\u4e2a\\u8fc7\\u7a0b\\uff1a**\\n1. \\u4f60\\u7528AI\\u505a\\u4e86\\u4ec0\\u4e48\\uff1f\\n2. \\u4f60\\u81ea\\u5df1\\u505a\\u4e86\\u4ec0\\u4e48\\u51b3\\u5b9a\\uff1f\\n3. \\u6700\\u7ec8\\u4f5c\\u54c1\\u6709\\u591a\\u5c11\\u6bd4\\u4f8b\\u662f\\u4f60\\u81ea\\u5df1\\u5b8c\\u6210\\u7684\\uff1f\\n\\n\\u8fd9\\u4e2a\\u8bb0\\u5f55\\u4f1a\\u6210\\u4e3a\\u4f60\\u672a\\u6765\\u5efa\\u7acb\\u72ec\\u7279\\u827a\\u672f\\u98ce\\u683c\\u7684\\u57fa\\u7840\\u3002\\n\\n---\\n\\n## \\u5de5\\u5177\\u6e05\\u5355\\n\\n- **Hermes**\\uff1a\\u6982\\u5ff5\\u6784\\u5efa\\u3001Prompt\\u4f18\\u5316\\u3001\\u4f5c\\u54c1\\u63cf\\u8ff0\\u751f\\u6210\\n- **Midjourney / DALL-E / Stable Diffusion**\\uff1aAI\\u56fe\\u50cf\\u751f\\u6210\\n- **Photoshop / Procreate**\\uff1a\\u4e8c\\u6b21\\u521b\\u4f5c\\n- **Figma**\\uff1a\\u6570\\u5b57\\u62fc\\u8d34\\u548c\\u5c55\\u793a\\u8bbe\\u8ba1\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300a\\u8ba1\\u7b97\\u673a\\u827a\\u672f\\u9769\\u547d\\uff1aAI\\u751f\\u6210\\u827a\\u672f\\u7684\\u73b0\\u72b6\\u4e0e\\u672a\\u6765\\u300b*\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"bytes_written\": 8123, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
      "tool_call_id": "call_function_y9igmbi3459b_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "文章3写完了。继续写文章4。",
      "finish_reason": "tool_calls",
      "reasoning_content": "文章3写完了。继续写文章4。",
      "reasoning_details": [
        {
          "signature": "f78a1b038798efe92e3976b4581c354767350174291772cd50019dd6824fccdb",
          "thinking": "文章3写完了。继续写文章4。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_3sp6k0baeeje_1",
          "call_id": "call_function_3sp6k0baeeje_1",
          "response_item_id": "fc_function_3sp6k0baeeje_1",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\": \"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/04_\\u8ba1\\u7b97\\u673a\\u827a\\u672f\\u9769\\u547d_AI\\u751f\\u6210\\u827a\\u672f\\u7684\\u73b0\\u72b6\\u4e0e\\u672a\\u6765.md\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"error\": \"write_file: missing required field 'content'. The tool call included a path but no content argument — this is almost always a dropped-arg bug under context pressure. Re-emit the tool call with the full content payload, or use execute_code with hermes_tools.write_file() for very large files.\"}",
      "tool_call_id": "call_function_3sp6k0baeeje_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "我需要同时写第4篇和第5篇。让我批量写入。",
      "finish_reason": "tool_calls",
      "reasoning_content": "我需要同时写第4篇和第5篇。让我批量写入。",
      "reasoning_details": [
        {
          "signature": "2470b8f25c07a068a3c97aeea3599d64d8610474396712e382341b7c8822d033",
          "thinking": "我需要同时写第4篇和第5篇。让我批量写入。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_y1ob2h0gkw18_1",
          "call_id": "call_function_y1ob2h0gkw18_1",
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AI\\u8f85\\u52a9\\u521b\\u4f5c vs AI\\u751f\\u6210\\u827a\\u672f\\n\\n**AI\\u8f85\\u52a9\\u521b\\u4f5c\\uff1a** \\u827a\\u672f\\u5bb6\\u4e3b\\u5bfc\\uff0cAI\\u63d0\\u4f9b\\u5de5\\u5177\\u652f\\u6301\\n- \\u7075\\u611f\\u751f\\u6210\\n- \\u8349\\u56fe\\u63a2\\u7d22\\n- \\u6750\\u6599\\u6a21\\u62df\\n- \\u6700\\u7ec8\\u4f5c\\u54c1\\u7684\\u6570\\u5b57\\u90e8\\u5206\\n\\n**AI\\u751f\\u6210\\u827a\\u672f\\uff1a** AI\\u4e3b\\u5bfc\\uff0c\\u827a\\u672f\\u5bb6\\u662f\\\"\\u7b56\\u5c55\\u4eba\\\"\\n- \\u5b8c\\u5168\\u7531AI\\u751f\\u6210\\uff0c\\u827a\\u672f\\u5bb6\\u9009\\u62e9\\n- \\u4eba\\u673a\\u534f\\u4f5c\\uff0c\\u540450%\\n- AI\\u4f5c\\u4e3a\\\"\\u5408\\u4f5c\\u827a\\u672f\\u5bb6\\\"\\n\\n### B. \\u751f\\u6210\\u827a\\u672f\\u7684\\u6280\\u672f\\u8def\\u5f84\\n\\n| \\u6280\\u672f | \\u4ee3\\u8868\\u5de5\\u5177 | \\u7279\\u70b9 | \\u827a\\u672f\\u4ef7\\u503c |\\n|------|----------|------|----------|\\n| GAN | StyleGAN, BigGAN | \\u9ad8\\u6e05\\u4eba\\u8138/\\u7269\\u4f53 | \\u6b63\\u5728\\u4e0b\\u964d |\\n| Diffusion | SD, MJ, DALL-E | \\u7ec6\\u8282\\u4e30\\u5bcc | \\u5f53\\u524d\\u4e3b\\u6d41 |\\n| Transformer | GPT-4o, Gemini | \\u591a\\u6a21\\u6001\\u7406\\u89e3 | \\u5feb\\u901f\\u4e0a\\u5347 |\\n| Neural Rendering | NeRF, 3D Gaussian Splatting | 3D\\u573a\\u666f\\u751f\\u6210 | \\u65b0\\u5174\\u9886\\u57df |\\n\\n### C. \\u5b9e\\u65f6\\u751f\\u6210\\u4e0e\\u4ea4\\u4e92\\u827a\\u672f\\n\\n\\u8fd9\\u90e8\\u5206\\u662fAI\\u4e0e\\u4f20\\u7edf\\u8ba1\\u7b97\\u673a\\u827a\\u672f\\u7684\\u7ed3\\u5408\\u70b9\\uff1a\\n- **\\u5b9e\\u65f6\\u751f\\u6210\\u97f3\\u4e50/\\u89c6\\u89c9**\\uff1aAI\\u6839\\u636e\\u89c2\\u4f17\\u884c\\u4e3a\\u5b9e\\u65f6\\u751f\\u6210\\u5185\\u5bb9\\n- **\\u751f\\u6210\\u6e38\\u620f/\\u865a\\u62df\\u4e16\\u754c**\\uff1a\\u65e0\\u9650\\u751f\\u6210\\u7684\\u865a\\u62df\\u7a7a\\u95f4\\n- **AI\\u8868\\u6f14\\u827a\\u672f**\\uff1aAI\\u9a71\\u52a8\\u7684\\u58f0\\u97f3\\u3001\\u89c6\\u89c9\\u3001\\u52a8\\u4f5c\\u8868\\u6f14\\n\\n---\\n\\n## AI\\u751f\\u6210\\u827a\\u672f\\u7684\\u4ef7\\u503c\\u4e89\\u8bae\\n\\n### \\u53cd\\u5bf9AI\\u827a\\u672f\\u7684\\u7406\\u7531\\n\\n1. **\\\"\\u827a\\u672f\\u5bb6\\u5265\\u524a\\\"\\u8bba**\\uff1aAI\\u8bad\\u7ec3\\u7528\\u4e86\\u6570\\u5341\\u4ebf\\u5f20\\u672a\\u6388\\u6743\\u7684\\u827a\\u672f\\u4f5c\\u54c1\\uff0c\\u672c\\u8d28\\u662f\\u5bf9\\u827a\\u672f\\u5bb6\\u7684\\u5265\\u524a\\n2. **\\u6280\\u80fd\\u8d2c\\u4f4e\\u8bba**\\uff1a\\u8ba9\\u827a\\u672f\\u521b\\u4f5c\\u53d8\\u5f97\\\"\\u592a\\u5bb9\\u6613\\\"\\uff0c\\u8d2c\\u4f4e\\u4e86\\u827a\\u672f\\u5bb6\\u7684\\u4e13\\u4e1a\\u8bad\\u7ec3\\n3. **\\u771f\\u5b9e\\u6027\\u95ee\\u9898**\\uff1a\\u65e0\\u6cd5\\u786e\\u5b9a\\u4f5c\\u54c1\\u7684\\\"\\u539f\\u521b\\u6027\\\"\\n4. **\\u5e02\\u573a\\u6ce1\\u6cab**\\uff1a\\u5927\\u91cf\\u4f4e\\u8d28\\u91cf\\u7684AI\\u827a\\u672f\\u6d8c\\u5165\\u5e02\\u573a\\uff0c\\u6405\\u4e71\\u4e86\\u4ef7\\u683c\\u4f53\\u7cfb\\n\\n### \\u652f\\u6301AI\\u827a\\u672f\\u7684\\u7406\\u7531\\n\\n1. **\\u65b0\\u5a92\\u4ecb\\u8bba**\\uff1a\\u6bcf\\u4e2a\\u65b0\\u5a92\\u4ecb\\u90fd\\u9762\\u4e34\\u7c7b\\u4f3c\\u4e89\\u8bae\\u2014\\u2014\\u6444\\u5f71\\u3001\\u7535\\u5f71\\u3001\\u6570\\u5b57\\u827a\\u672f\\n2. **\\u5de5\\u5177\\u4e2d\\u6027\\u8bba**\\uff1a\\u5200\\u53ef\\u4ee5\\u6740\\u4eba\\u4e5f\\u53ef\\u4ee5\\u505a\\u624b\\u672f\\uff0c\\u5de5\\u5177\\u672c\\u8eab\\u6ca1\\u6709\\u9053\\u5fb7\\n3. **\\u8f85\\u52a9\\u589e\\u5f3a\\u8bba**\\uff1a\\u771f\\u6b63\\u6709\\u80fd\\u529b\\u7684\\u827a\\u672f\\u5bb6\\u7528AI\\u4f1a\\u66f4\\u5f3a\\uff0c\\u800c\\u4e0d\\u662f\\u53d8\\u5f31\\n4. **\\u6c11\\u4e3b\\u5316\\u8bba**\\uff1a\\u8ba9\\u66f4\\u591a\\u4eba\\u80fd\\u53c2\\u4e0e\\u827a\\u672f\\u521b\\u4f5c\\n\\n### 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**\\u5c40\\u90e8\\u91cd\\u7ed8**\\uff1a\\u5bf9AI\\u4e0d\\u6ee1\\u610f\\u7684\\u5c40\\u90e8\\u8fdb\\u884c\\u9488\\u5bf9\\u6027\\u4fee\\u6539\\n\\n### \\u65b9\\u6cd5\\u8bba3\\uff1a\\u4e8c\\u6b21\\u521b\\u4f5c\\n\\nAI\\u751f\\u6210\\u53ea\\u662f\\u8d77\\u70b9\\uff0c\\u771f\\u6b63\\u7684\\u4f5c\\u54c1\\u5728\\u4f60\\u624b\\u91cc\\u3002\\n\\n**\\u4e8c\\u6b21\\u521b\\u4f5c\\u7684\\u65b9\\u6cd5\\uff1a**\\n- \\u6253\\u5370\\u8f93\\u51fa+\\u624b\\u7ed8\\u6df1\\u5316\\n- AI\\u7d20\\u6750+\\u62fc\\u8d34\\u7ec4\\u5408\\n- AI\\u751f\\u6210+\\u4f20\\u7edf\\u5a92\\u4ecb\\u53e0\\u52a0\\n- \\u591a\\u6b21\\u751f\\u6210+\\u9009\\u62e9+\\u7f16\\u8f91\\n\\n### 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|\\n| AI+\\u624b\\u5de5\\u6df1\\u5316 | $500-$5000 | \\u7a33\\u5b9a\\uff0c\\u53d6\\u51b3\\u4e8e\\u827a\\u672f\\u5bb6\\u58f0\\u8a89 |\\n| AI\\u8f85\\u52a9\\u6982\\u5ff5+\\u624b\\u5de5\\u5b8c\\u6210 | $5000-$50000 | \\u6709\\u6301\\u7eed\\u5e02\\u573a\\u9700\\u6c42 |\\n| AI\\u4f5c\\u4e3a\\u6982\\u5ff5\\u5de5\\u5177 | \\u9762\\u8bae | \\u53d6\\u51b3\\u4e8e\\u827a\\u672f\\u5bb6\\u77e5\\u540d\\u5ea6 |\\n\\n### \\u9500\\u552e\\u6e20\\u9053\\n\\n1. **\\u4f20\\u7edf\\u753b\\u5eca**\\uff1a\\u8d8a\\u6765\\u8d8a\\u591a\\u753b\\u5eca\\u63a5\\u53d7AI\\u8f85\\u52a9\\u4f5c\\u54c1\\uff0c\\u4f46\\u8981\\u6c42\\u6709\\u660e\\u786e\\u7684\\u827a\\u672f\\u5bb6\\u4e3b\\u5bfc\\u6027\\n2. **NFT\\u5e73\\u53f0**\\uff1aFoundation\\u3001Objkt\\u3001Async\\u2014\\u2014\\u4f46\\u5e02\\u573a\\u6bd42021-2023\\u5e74\\u51b7\\u9759\\u5f88\\u591a\\n3. **\\u827a\\u672f\\u535a\\u89c8\\u4f1a**\\uff1a\\u975eAI\\u4e13\\u573a\\u7684\\u827a\\u535a\\u4f1a\\u5f00\\u59cb\\u63a5\\u53d7AI\\u8f85\\u52a9\\u4f5c\\u54c1\\n4. **\\u76f4\\u63a5\\u6536\\u85cf**\\uff1aInstagram\\u3001\\u5c0f\\u7ea2\\u4e66\\u3001\\u5fae\\u4fe1\\u79c1\\u6d3d\\n\\n---\\n\\n## AI\\u751f\\u6210\\u827a\\u672f\\u7684\\u6cd5\\u5f8b\\u7070\\u8272\\u5730\\u5e26\\n\\n### \\u7248\\u6743\\u95ee\\u9898\\n\\n\\u76ee\\u524d\\u5168\\u7403\\u4e3b\\u8981\\u7ecf\\u6d4e\\u4f53\\u7684\\u7248\\u6743\\u6cd5\\u90fd\\u89c4\\u5b9a\\uff1a**AI\\u751f\\u6210\\u4f5c\\u54c1\\u7684\\u7248\\u6743\\u5f52\\u5c5e\\u4e0d\\u786e\\u5b9a\\u3002**\\n\\n- **\\u7f8e\\u56fd**\\uff1a\\u7248\\u6743\\u5c40\\u8981\\u6c42\\\"\\u4eba\\u7c7b\\u4f5c\\u8005\\\"\\uff0c\\u7eafAI\\u751f\\u6210\\u65e0\\u6cd5\\u83b7\\u5f97\\u7248\\u6743\\n- **\\u6b27\\u76df**\\uff1a\\u6b63\\u5728\\u8ba8\\u8bbaAI\\u521b\\u4f5c\\u7269\\u7684\\u6cd5\\u5f8b\\u5730\\u4f4d\\n- **\\u4e2d\\u56fd**\\uff1a2026\\u5e74\\u51fa\\u53f0\\u65b0\\u89c4\\uff0cAI\\u8f85\\u52a9\\u4f5c\\u54c1\\u6709\\u7248\\u6743\\uff0c\\u4f46\\u7eafAI\\u751f\\u6210\\u6ca1\\u6709\\n\\n**\\u5b9e\\u8df5\\u5efa\\u8bae\\uff1a** 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**\\u4ef7\\u503c\\u91cd\\u6784**\\uff1a\\u7eafAI\\u751f\\u6210\\u7684\\u5e02\\u573a\\u4ef7\\u503c\\u4f1a\\u7ee7\\u7eed\\u4e0b\\u964d\\uff0c\\\"AI+\\u624b\\u5de5\\\"\\u6210\\u4e3a\\u4e3b\\u6d41\\n2. **\\u753b\\u5eca\\u6574\\u5408**\\uff1a\\u4f20\\u7edf\\u753b\\u5eca\\u5c06\\u5efa\\u7acbAI\\u827a\\u672f\\u4e13\\u533a\\n3. **\\u6536\\u85cf\\u5bb6\\u6559\\u80b2**\\uff1a\\u6536\\u85cf\\u5bb6\\u5b66\\u4f1a\\u5206\\u8fa8AI\\u827a\\u672f\\u7684\\u8d28\\u91cf\\u5dee\\u5f02\\n4. **\\u7b56\\u5c55\\u8d8b\\u52bf**\\uff1a\\\"\\u540eAI\\u827a\\u672f\\\"\\u2014\\u2014\\u827a\\u672f\\u5bb6\\u5f00\\u59cb\\u53cd\\u601dAI\\u5728\\u521b\\u4f5c\\u4e2d\\u7684\\u89d2\\u8272\\n\\n### \\u827a\\u672f\\u5c42\\u9762\\n\\n1. **\\u6982\\u5ff5\\u827a\\u672f\\u590d\\u5174**\\uff1a\\u56e0\\u4e3aAI\\u80fd\\u505a\\u597d\\\"\\u5f62\\u5f0f\\\"\\uff0c\\u827a\\u672f\\u7684\\u4ef7\\u503c\\u5c06\\u56de\\u5230\\\"\\u6982\\u5ff5\\\"\\n2. **\\u7269\\u8d28\\u6027\\u56de\\u5f52**\\uff1a\\u66f4\\u591a\\u4eba\\u5f00\\u59cb\\u91cd\\u89c6\\u4f5c\\u54c1\\u7684\\u7269\\u8d28\\u6027\\u548c\\u624b\\u5de5\\u75d5\\u8ff9\\n3. **\\u8de8\\u5b66\\u79d1\\u6574\\u5408**\\uff1a\\u827a\\u672f+\\u79d1\\u5b66+\\u6280\\u672f\\u7684\\u8de8\\u754c\\u5408\\u4f5c\\u6210\\u4e3a\\u5e38\\u6001\\n4. **\\u65b0\\u7c7b\\u578b\\u827a\\u672f**\\uff1aAI\\u65e0\\u6cd5\\u66ff\\u4ee3\\u7684\\u65b0\\u827a\\u672f\\u7c7b\\u578b\\u4f1a\\u51fa\\u73b0\\n\\n---\\n\\n## Hermes\\u5728\\u8ba1\\u7b97\\u673a\\u827a\\u672f\\u4e2d\\u7684\\u5177\\u4f53\\u5e94\\u7528\\n\\n### 1. \\u6982\\u5ff5\\u63a2\\u7d22\\n\\n```\\n\\u6211\\u6b63\\u5728\\u505a\\u4e00\\u4e2a\\u5173\\u4e8e\\\"\\u8bb0\\u5fc6\\u7684\\u4e0d\\u786e\\u5b9a\\u6027\\\"\\u7684\\u8ba1\\u7b97\\u673a\\u827a\\u672f\\u9879\\u76ee\\uff0c\\n\\u8bf7\\u5e2e\\u6211\\uff1a\\n1. \\u4ece\\u795e\\u7ecf\\u79d1\\u5b66\\u89d2\\u5ea6\\u5206\\u6790\\u8fd9\\u4e2a\\u4e3b\\u9898\\n2. \\u4ece\\u54f2\\u5b66\\u89d2\\u5ea6\\u5206\\u6790\\u8fd9\\u4e2a\\u4e3b\\u9898\\n3. \\u627e\\u51fa3\\u4e2a\\u5386\\u53f2\\u4e0a\\u5904\\u7406\\u7c7b\\u4f3c\\u4e3b\\u9898\\u7684\\u827a\\u672f\\u4f5c\\u54c1\\n4. \\u63d0\\u51fa5\\u4e2a\\u53ef\\u80fd\\u7684\\u89c6\\u89c9\\u65b9\\u5411\\n```\\n\\n### 2. \\u6280\\u672f\\u65b9\\u6848\\u54a8\\u8be2\\n\\n```\\n\\u6211\\u60f3\\u7528AI\\u751f\\u6210\\u6280\\u672f\\u505a\\u4e00\\u4ef6\\u5b9e\\u65f6\\u4e92\\u52a8\\u7684\\u88c5\\u7f6e\\u827a\\u672f\\uff0c\\n\\u89c2\\u4f17\\u7684\\u52a8\\u4f5c\\u4f1a\\u5f71\\u54cdAI\\u7684\\u751f\\u6210\\u65b9\\u5411\\uff0c\\n\\u8bf7\\u5e2e\\u6211\\u5206\\u6790\\uff1a\\n1. \\u6280\\u672f\\u5b9e\\u73b0\\u7684\\u53ef\\u80fd\\u8def\\u5f84\\n2. \\u73b0\\u6709\\u7684\\u5f00\\u6e90\\u5de5\\u5177\\u63a8\\u8350\\n3. \\u7c7b\\u4f3c\\u7684\\u827a\\u672f\\u4f5c\\u54c1\\u53c2\\u8003\\n```\\n\\n### 3. \\u521b\\u4f5c\\u8fc7\\u7a0b\\u8bb0\\u5f55\\n\\n\\u7528Hermes\\u8bb0\\u5f55\\u4f60\\u7684AI\\u8f85\\u52a9\\u521b\\u4f5c\\u8fc7\\u7a0b\\uff0c\\u5305\\u62ec\\uff1a\\n- \\u4f7f\\u7528\\u7684\\u5177\\u4f53Prompt\\n- AI\\u8f93\\u51fa\\u7684\\u8d28\\u91cf\\u8bc4\\u4f30\\n- \\u4f60\\u505a\\u4e86\\u54ea\\u4e9b\\u9009\\u62e9\\u548c\\u4fee\\u6539\\n- \\u6700\\u7ec8\\u4f5c\\u54c1\\u4e0eAI\\u8f93\\u51fa\\u7684\\u5dee\\u5f02\\n\\n\\u8fd9\\u4e2a\\u8bb0\\u5f55\\u4f1a\\u6210\\u4e3a\\u4f60\\u672a\\u6765\\u4f5c\\u54c1\\u9610\\u91ca\\u548c\\u5c55\\u89c8\\u6587\\u732e\\u7684\\u91cd\\u8981\\u7ec4\\u6210\\u90e8\\u5206\\u3002\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n**\\u4eca\\u5929\\u5c31\\u505a\\u7684\\u4e09\\u4ef6\\u4e8b\\uff1a**\\n\\n1. \\u51b3\\u5b9a\\u4f60\\u5728\\\"AI\\u827a\\u672f\\\"\\u95ee\\u9898\\u4e0a\\u7684\\u7acb\\u573a\\uff08\\u53ef\\u4ee5\\u968f\\u7740\\u5b9e\\u8df5\\u8c03\\u6574\\uff09\\n2. \\u9009\\u62e9\\u4e00\\u4e2a\\u4f60\\u611f\\u5174\\u8da3\\u7684\\u6280\\u672f\\u5de5\\u5177\\uff08Midjourney/SD/DALL-E/\\u5176\\u4ed6\\uff09\\uff0c\\u6df1\\u5165\\u5b66\\u4e60\\n3. \\u7528\\u8fd9\\u4e2a\\u5de5\\u5177\\u505a\\u4e00\\u4e2a\\\"\\u6982\\u5ff5\\u4f18\\u5148\\\"\\u7684\\u5b9e\\u9a8c\\u4f5c\\u54c1\\uff0c\\u8bb0\\u5f55\\u6574\\u4e2a\\u8fc7\\u7a0b\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300a\\u7b56\\u5c55\\u4eba\\u7684\\u65b0\\u5de5\\u5177\\uff1a\\u5982\\u4f55\\u7528AI\\u5206\\u6790\\u548c\\u5448\\u73b0\\u827a\\u672f\\u300b*\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"bytes_written\": 9030, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
      "tool_call_id": "call_function_y1ob2h0gkw18_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "继续写第5篇和第6篇。",
      "finish_reason": "tool_calls",
      "reasoning_content": "继续写第5篇和第6篇。",
      "reasoning_details": [
        {
          "signature": "e6d9294f9d476291766dc46bcccb6b337beb328fff976f7e053a35c3cfe07b84",
          "thinking": "继续写第5篇和第6篇。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_7lhm1fovqogm_1",
          "call_id": "call_function_7lhm1fovqogm_1",
          "response_item_id": "fc_function_7lhm1fovqogm_1",
          "type": "function",
          "function": {
            "name": "write_file",
            "arguments": "{\"path\": \"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/05_\\u7b56\\u5c55\\u4eba\\u7684\\u65b0\\u5de5\\u5177_\\u5982\\u4f55\\u7528AI\\u5206\\u6790\\u548c\\u5448\\u73b0\\u827a\\u672f.md\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "write_file",
      "content": "{\"error\": \"write_file: missing required field 'content'. The tool call included a path but no content argument — this is almost always a dropped-arg bug under context pressure. Re-emit the tool call with the full content payload, or use execute_code with hermes_tools.write_file() for very large files.\"}",
      "tool_call_id": "call_function_7lhm1fovqogm_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "又出现了同样的问题，tool call 没有 content 参数。让我完整地重新调用。",
      "finish_reason": "tool_calls",
      "reasoning_content": "又出现了同样的问题，tool call 没有 content 参数。让我完整地重新调用。",
      "reasoning_details": [
        {
          "signature": "6eeaa84dcbee54d90253627719aef0be719f73cd56f95ea8c7ccdd966eb0ae24",
          "thinking": "又出现了同样的问题，tool call 没有 content 参数。让我完整地重新调用。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_0z5omaar1mzn_1",
          "call_id": "call_function_0z5omaar1mzn_1",
          "response_item_id": "fc_function_0z5omaar1mzn_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# \\u7b56\\u5c55\\u4eba\\u7684\\u65b0\\u5de5\\u5177\\uff1a\\u5982\\u4f55\\u7528AI\\u5206\\u6790\\u548c\\u5448\\u73b0\\u827a\\u672f\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u7b56\\u5c55\\u4eba\\u4e3a\\u4ec0\\u4e48\\u8981\\u5173\\u5fc3AI\\n\\n\\u7b56\\u5c55\\u4eba\\uff08Curator\\uff09\\u8fd9\\u4e2a\\u804c\\u4e1a\\u6b63\\u5728\\u7ecf\\u5386\\u524d\\u6240\\u672a\\u6709\\u7684\\u6311\\u6218\\uff1a\\n\\n- \\u5c55\\u89c8\\u6570\\u91cf\\u7206\\u70b8\\uff1a\\u6bcf\\u5e74\\u5168\\u7403\\u65b0\\u589e\\u5c55\\u89c8\\u8d85\\u8fc7100\\u4e07\\u4e2a\\n- \\u4fe1\\u606f\\u8fc7\\u8f7d\\uff1a\\u827a\\u672f\\u5bb6\\u3001\\u4f5c\\u54c1\\u3001\\u6982\\u5ff5\\u7684\\u6570\\u91cf\\u8fdc\\u8d85\\u4efb\\u4f55\\u4eba\\u80fd\\u6d88\\u5316\\u7684\\u7a0b\\u5ea6\\n- \\u89c2\\u4f17\\u671f\\u5f85\\u63d0\\u5347\\uff1a\\u65b0\\u51a0\\u540e\\u89c2\\u4f17\\u4e60\\u60ef\\u7ebf\\u4e0a\\u5185\\u5bb9\\uff0c\\u5bf9\\u7ebf\\u4e0b\\u5c55\\u89c8\\u7684\\u8981\\u6c42\\u66f4\\u9ad8\\n- \\u53d9\\u4e8b\\u538b\\u529b\\uff1a\\u753b\\u5eca\\u548c\\u7f8e\\u672f\\u9986\\u8981\\u6c42\\u7b56\\u5c55\\u6709\\u66f4\\u6e05\\u6670\\u7684\\u5b66\\u672f\\u53d9\\u4e8b\\n\\nAI\\u53ef\\u4ee5\\u5e2e\\u52a9\\u7b56\\u5c55\\u4eba\\u66f4\\u9ad8\\u6548\\u5730\\u5b8c\\u6210\\u7814\\u7a76\\u3001\\u5206\\u6790\\u548c\\u53d9\\u4e8b\\u5de5\\u4f5c\\u2014\\u2014\\u4f46\\u5b83\\u4e0d\\u80fd\\u66ff\\u4ee3\\u7b56\\u5c55\\u4eba\\u6700\\u6838\\u5fc3\\u7684\\u80fd\\u529b\\uff1a**\\u5728\\u6df7\\u4e71\\u4e2d\\u53d1\\u73b0\\u610f\\u4e49\\uff0c\\u5728\\u4e0d\\u76f8\\u5173\\u7684\\u4e8b\\u7269\\u4e2d\\u627e\\u5230\\u8fde\\u63a5\\u3002**\\n\\n---\\n\\n## \\u4e00\\u3001AI\\u8f85\\u52a9\\u7b56\\u5c55\\u7814\\u7a76\\u7684\\u5b9e\\u6218\\u65b9\\u6cd5\\n\\n### \\u75db\\u70b9\\uff1a\\u7b56\\u5c55\\u4eba\\u6700\\u5927\\u7684\\u65f6\\u95f4\\u6d88\\u8017\\n\\n\\u7b56\\u5c55\\u5de5\\u4f5c60%\\u4ee5\\u4e0a\\u7684\\u65f6\\u95f4\\u7528\\u4e8e\\uff1a\\n1. \\u7814\\u7a76\\u827a\\u672f\\u5bb6\\u7684\\u5386\\u53f2\\u548c\\u80cc\\u666f\\n2. \\u5bfb\\u627e\\u4e3b\\u9898\\u76f8\\u5173\\u7684\\u4f5c\\u54c1\\u548c\\u53c2\\u8003\\n3. \\u6574\\u7406\\u548c\\u5f52\\u7eb3\\u5927\\u91cf\\u7684\\u6587\\u672c\\u8d44\\u6599\\n4. \\u64b0\\u5199\\u5c55\\u89c8\\u6587\\u672c\\u548c\\u4f5c\\u54c1\\u8bf4\\u660e\\n\\n### AI\\u8f85\\u52a9\\u7814\\u7a76\\u6d41\\u7a0b\\n\\n**\\u7b2c\\u4e00\\u6b65\\uff1a\\u6279\\u91cf\\u827a\\u672f\\u5bb6\\u7814\\u7a76**\\n\\n```\\n\\u8bf7\\u5e2e\\u6211\\u7814\\u7a76\\u4ee5\\u4e0b10\\u4f4d\\u827a\\u672f\\u5bb6\\uff0c\\u4ed6\\u4eec\\u7684\\u5171\\u540c\\u70b9\\u548c\\u5dee\\u5f02\\u70b9\\u662f\\u4ec0\\u4e48\\uff1f\\n\\u827a\\u672f\\u5bb6\\u5217\\u8868\\uff1a\\n1. [\\u827a\\u672f\\u5bb6A] - [\\u7b80\\u4ecb]\\n2. [\\u827a\\u672f\\u5bb6B] - [\\u7b80\\u4ecb]\\n...\\n\\u8bf7\\u5206\\u6790\\uff1a\\n- \\u6559\\u80b2\\u80cc\\u666f\\u7684\\u5171\\u540c\\u6a21\\u5f0f\\n- \\u521b\\u4f5c\\u5a92\\u4ecb\\u7684\\u5206\\u5e03\\n- \\u4e3b\\u9898\\u5173\\u6ce8\\u70b9\\u7684\\u5f02\\u540c\\n- \\u5e02\\u573a\\u5b9a\\u4f4d\\u7684\\u5f02\\u540c\\n```\\n\\n**\\u7b2c\\u4e8c\\u6b65\\uff1a\\u4e3b\\u9898\\u62d3\\u5c55\\u7814\\u7a76**\\n\\n\\u5f53\\u4f60\\u6709\\u4e00\\u4e2a\\u5c55\\u89c8\\u4e3b\\u9898\\u4f46\\u4e0d\\u786e\\u5b9a\\u8fb9\\u754c\\u65f6\\uff1a\\n\\n```\\n\\u6211\\u7684\\u5c55\\u89c8\\u4e3b\\u9898\\u662f\\\"\\u57ce\\u5e02\\u4e2d\\u7684\\u81ea\\u7136\\\"\\uff0c\\u8bf7\\u5e2e\\u6211\\uff1a\\n1. \\u627e\\u51fa\\u8fd9\\u4e2a\\u4e3b\\u9898\\u5728\\u827a\\u672f\\u53f2\\u4e2d\\u76843\\u4e2a\\u91cd\\u8981\\u6848\\u4f8b\\n2. \\u627e\\u51fa3\\u4e2a\\u76f8\\u5173\\u7684\\u8de8\\u5b66\\u79d1\\u7814\\u7a76\\u9886\\u57df\\uff08\\u751f\\u6001\\u5b66\\u3001\\u5fc3\\u7406\\u5b66\\u3001\\u793e\\u4f1a\\u5b66\\u7b49\\uff09\\n3. \\u63d0\\u51fa5\\u4e2a\\u53ef\\u80fd\\u7684\\u5207\\u5165\\u89d2\\u5ea6\\n4. \\u63a8\\u83505\\u4e2a\\u53ef\\u80fd\\u53c2\\u5c55\\u7684\\u827a\\u672f\\u5bb6\\uff08\\u5f53\\u4ee3\\u827a\\u672f\\u5bb6\\uff09\\n```\\n\\n**\\u7b2c\\u4e09\\u6b65\\uff1a\\u6587\\u672c\\u6574\\u7406\\u548c\\u5f52\\u7eb3**\\n\\n```\\n\\u6211\\u6536\\u96c6\\u4e86\\u4ee5\\u4e0b20\\u7bc7\\u5173\\u4e8e[\\u4e3b\\u9898]\\u7684\\u5b66\\u672f\\u6587\\u7ae0/\\u5c55\\u89c8\\u753b\\u518c\\u6587\\u5b57\\uff0c\\n\\u8bf7\\u5e2e\\u6211\\uff1a\\n1. \\u63d0\\u70bc\\u51fa5\\u4e2a\\u6838\\u5fc3\\u8bba\\u70b9\\n2. \\u627e\\u51fa\\u89c2\\u70b9\\u7684\\u5171\\u540c\\u70b9\\u548c\\u4e89\\u8bae\\u70b9\\n3. \\u63d0\\u51fa3\\u4e2a\\u53ef\\u80fd\\u7684\\u5c55\\u89c8\\u53d9\\u4e8b\\u6846\\u67b6\\n```\\n\\n---\\n\\n## \\u4e8c\\u3001AI\\u8f85\\u52a9\\u5c55\\u89c8\\u53d9\\u4e8b\\u6784\\u5efa\\n\\n### \\u53d9\\u4e8b\\u662f\\u7b56\\u5c55\\u7684\\u7075\\u9b42\\n\\n\\u4e00\\u4e2a\\u597d\\u7684\\u5c55\\u89c8\\u4e0d\\u662f\\\"\\u4f5c\\u54c1\\u7684\\u96c6\\u5408\\\"\\uff0c\\u800c\\u662f\\\"\\u4e00\\u4e2a\\u89c2\\u70b9\\u7684\\u5448\\u73b0\\\"\\u3002AI\\u53ef\\u4ee5\\u5e2e\\u4f60\\u68b3\\u7406\\u903b\\u8f91\\uff0c\\u4f46\\u53d9\\u4e8b\\u7684\\u6838\\u5fc3\\u2014\\u2014\\\"\\u8fd9\\u4e2a\\u5c55\\u89c8\\u60f3\\u8981\\u4f20\\u8fbe\\u4ec0\\u4e48\\\"\\u2014\\u2014\\u5fc5\\u987b\\u662f\\u4f60\\u81ea\\u5df1\\u786e\\u5b9a\\u7684\\u3002\\n\\n### \\u53d9\\u4e8b\\u6846\\u67b6\\u751f\\u6210\\n\\n**\\u7b56\\u5c55\\u9648\\u8ff0\\u751f\\u6210\\u63d0\\u793a\\u8bcd\\uff1a**\\n\\n```\\n\\u6211\\u6b63\\u5728\\u7b56\\u5212\\u4e00\\u4e2a\\u5173\\u4e8e[\\u4e3b\\u9898]\\u7684\\u7fa4\\u5c55\\uff0c\\n\\u53c2\\u5c55\\u827a\\u672f\\u5bb6\\uff1a[\\u540d\\u5355]\\n\\u5c55\\u89c8\\u89c4\\u6a21\\uff1a[\\u6570\\u91cf]\\n\\u573a\\u5730\\uff1a[\\u63cf\\u8ff0]\\n\\u76ee\\u6807\\u89c2\\u4f17\\uff1a[\\u63cf\\u8ff0]\\n\\n\\u8bf7\\u5e2e\\u6211\\u8d77\\u8349\\u4e00\\u4efd500\\u5b57\\u7684\\u7b56\\u5c55\\u9648\\u8ff0\\uff0c\\n\\u8981\\u6c42\\uff1a\\n1. \\u6709\\u660e\\u786e\\u7684\\u89c2\\u70b9\\u7acb\\u573a\\uff08\\u4e0d\\u662f\\u5ba2\\u89c2\\u63cf\\u8ff0\\uff09\\n2. \\u80fd\\u8ba9\\u666e\\u901a\\u89c2\\u4f17\\u7406\\u89e3\\u4e3a\\u4ec0\\u4e48\\u8fd9\\u4e2a\\u5c55\\u89c8\\u91cd\\u8981\\n3. \\u5305\\u542b2-3\\u4e2a\\u5173\\u952e\\u8bcd\\n4. \\u7ed3\\u5c3e\\u6709\\u5f00\\u653e\\u6027\\u95ee\\u9898\\u6216\\u9080\\u8bf7\\n```\\n\\n### \\u4f5c\\u54c1\\u9009\\u62e9\\u903b\\u8f91\\n\\n```\\n\\u6211\\u670930\\u4f4d\\u5019\\u9009\\u827a\\u672f\\u5bb6\\uff0c[\\u63cf\\u8ff0\\u5c55\\u89c8\\u4e3b\\u9898]\\uff0c\\n\\u8bf7\\u5e2e\\u6211\\u4ece\\u4ee5\\u4e0b\\u89d2\\u5ea6\\u5206\\u6790\\u6bcf\\u4f4d\\u827a\\u672f\\u5bb6\\u7684\\u9002\\u914d\\u5ea6\\uff1a\\n1. \\u4e3b\\u9898\\u5951\\u5408\\u5ea6\\uff081-10\\u5206\\uff09\\n2. \\u5a92\\u4ecb\\u591a\\u6837\\u6027\\u8d21\\u732e\\n3. \\u56fd\\u9645\\u5316/\\u672c\\u5730\\u5316\\u5e73\\u8861\\n4. \\u77e5\\u540d\\u5ea6\\u68af\\u961f\\u7684\\u5e73\\u8861\\n\\n\\u6700\\u540e\\u7ed9\\u51fa\\u4f60\\u7684\\\"\\u7406\\u60f3\\u9635\\u5bb9\\\"\\u5efa\\u8bae\\u548c\\u7406\\u7531\\u3002\\n```\\n\\n---\\n\\n## \\u4e09\\u3001AI\\u8f85\\u52a9\\u4f5c\\u54c1\\u5448\\u73b0\\n\\n### \\u4f5c\\u54c1\\u5899\\u6587\\uff08Wall Text\\uff09\\u7684\\u5199\\u4f5c\\n\\n\\u4f5c\\u54c1\\u5899\\u6587\\u662f\\u89c2\\u4f17\\u7406\\u89e3\\u4f5c\\u54c1\\u7684\\u7b2c\\u4e00\\u5165\\u53e3\\uff0c\\u4f46\\u5b83\\u5f80\\u5f80\\u88ab\\u4f4e\\u4f30\\u3002\\n\\n**AI\\u8f85\\u52a9\\u5199\\u4f5c\\u6d41\\u7a0b\\uff1a**\\n\\n```\\n\\u6211\\u6709\\u4e00\\u4ef6\\u4f5c\\u54c1\\uff1a\\n- \\u827a\\u672f\\u5bb6\\uff1a[\\u540d\\u5b57]\\n- \\u4f5c\\u54c1\\u540d\\uff1a[\\u540d\\u5b57]\\n- \\u5a92\\u4ecb\\uff1a[\\u63cf\\u8ff0]\\n- \\u5c3a\\u5bf8\\uff1a[\\u5c3a\\u5bf8]\\n- \\u521b\\u4f5c\\u5e74\\u4efd\\uff1a[\\u5e74\\u4efd]\\n- \\u827a\\u672f\\u5bb6\\u9648\\u8ff0\\uff1a[\\u6587\\u5b57]\\n\\n\\u8bf7\\u5e2e\\u6211\\u5199\\u4e00\\u6bb5150\\u5b57\\u7684\\u4f5c\\u54c1\\u5899\\u6587\\uff0c\\u8981\\u6c42\\uff1a\\n- \\u9762\\u5411\\u975e\\u4e13\\u4e1a\\u89c2\\u4f17\\n- \\u907f\\u514d\\u8fc7\\u5ea6\\u4f7f\\u7528\\u7684\\u827a\\u672f\\u672f\\u8bed\\n- 1-2\\u4e2a\\u6838\\u5fc3\\u4fe1\\u606f\\u70b9\\n- 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**Notion AI**\\uff1a\\u8d44\\u6599\\u6574\\u7406\\u3001\\u4f1a\\u8bae\\u8bb0\\u5f55\\n\\n### \\u89c6\\u89c9\\u751f\\u6210\\u7c7b\\n- **Midjourney**\\uff1a\\u6982\\u5ff5\\u89c6\\u89c9\\u3001\\u53c2\\u8003\\u56fe\\u751f\\u6210\\n- **DALL-E 3**\\uff1a\\u7cbe\\u786e\\u63a7\\u5236\\u7684\\u89c6\\u89c9\\u751f\\u6210\\n- **Stable Diffusion**\\uff1a\\u98ce\\u683c\\u63a2\\u7d22\\u3001\\u5f00\\u6e90\\u53ef\\u63a7\\n\\n### \\u6570\\u636e\\u5206\\u6790\\u7c7b\\n- **Artnet / Artfy**\\uff1a\\u5e02\\u573a\\u6570\\u636e\\u5206\\u6790\\n- **Google Arts & Culture**\\uff1a\\u827a\\u672f\\u5bb6\\u5386\\u53f2\\u8d44\\u6599\\n- **Artplaces**\\uff1a\\u5168\\u7403\\u753b\\u5eca/\\u7f8e\\u672f\\u9986\\u6570\\u636e\\u5e93\\n\\n### \\u9879\\u76ee\\u7ba1\\u7406\\u7c7b\\n- **Notion**\\uff1a\\u7b56\\u5c55\\u9879\\u76ee\\u7ba1\\u7406\\n- **Airtable**\\uff1a\\u827a\\u672f\\u5bb6\\u6570\\u636e\\u5e93\\n- **n8n**\\uff1a\\u7b56\\u5c55\\u5de5\\u4f5c\\u6d41\\u81ea\\u52a8\\u5316\\n\\n---\\n\\n## 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AI\\u65f6\\u4ee3\\u7684\\u7b56\\u5c55\\u4f26\\u7406\\n\\n```\\n\\u8bf7\\u5e2e\\u6211\\u5236\\u5b9a\\u4e00\\u4e2aAI\\u8f85\\u52a9\\u7b56\\u5c55\\u7684\\u4f26\\u7406\\u51c6\\u5219\\uff0c\\n\\u5305\\u62ec\\uff1a\\n1. \\u827a\\u672f\\u5bb6\\u4f5c\\u54c1/\\u56fe\\u50cf\\u7684\\u4f7f\\u7528\\u8fb9\\u754c\\n2. AI\\u751f\\u6210\\u5185\\u5bb9\\u7684\\u6807\\u6ce8\\u8981\\u6c42\\n3. \\u5c55\\u89c8\\u6587\\u672c\\u7684\\u7f72\\u540d\\u89c4\\u5219\\n4. \\u89c2\\u4f17\\u4e92\\u52a8\\u4e2d\\u7684AI\\u4f7f\\u7528\\u8fb9\\u754c\\n```\\n\\n---\\n\\n## \\u4e03\\u3001\\u6848\\u4f8b\\u5206\\u6790\\uff1a\\u4e00\\u573a\\\"AI\\u8f85\\u52a9\\u7b56\\u5c55\\\"\\u7684\\u5b8c\\u6574\\u6d41\\u7a0b\\n\\n### \\u5047\\u8bbe\\u9879\\u76ee\\uff1a\\u67d0\\u5f53\\u4ee3\\u827a\\u672f\\u4e2d\\u5fc3\\\"\\u8fb9\\u754c\\\"\\u4e3b\\u9898\\u7fa4\\u5c55\\n\\n**\\u7b2c\\u4e00\\u9636\\u6bb5\\uff1a\\u7814\\u7a76\\uff08AI\\u8f85\\u52a9\\uff09**\\n- \\u7528AI\\u68b3\\u7406\\\"\\u8fb9\\u754c\\\"\\u4e3b\\u9898\\u5728\\u5f53\\u4ee3\\u827a\\u672f\\u4e2d\\u7684\\u8868\\u73b0\\n- \\u751f\\u621050\\u4e2a\\u53ef\\u80fd\\u7684\\u5207\\u5165\\u89d2\\u5ea6\\n- \\u7b5b\\u9009\\u51fa3\\u4e2a\\u6700\\u6709\\u529b\\u7684\\u5b66\\u672f\\u65b9\\u5411\\n\\n**\\u7b2c\\u4e8c\\u9636\\u6bb5\\uff1a\\u9009\\u827a\\u672f\\u5bb6\\uff08AI\\u8f85\\u52a9\\uff09**\\n- \\u7528AI\\u5206\\u6790100\\u4f4d\\u5019\\u9009\\u827a\\u672f\\u5bb6\\u4e0e3\\u4e2a\\u65b9\\u5411\\u7684\\u9002\\u914d\\u5ea6\\n- \\u751f\\u6210\\\"\\u7406\\u60f3\\u9635\\u5bb9\\\"\\u5efa\\u8bae\\n- \\u7b56\\u5c55\\u4eba\\u6700\\u7ec8\\u51b3\\u7b56\\n\\n**\\u7b2c\\u4e09\\u9636\\u6bb5\\uff1a\\u53d9\\u4e8b\\u6784\\u5efa\\uff08AI\\u8f85\\u52a9\\uff09**\\n- \\u7528AI\\u8d77\\u8349\\u7b56\\u5c55\\u9648\\u8ff0\\n- \\u7b56\\u5c55\\u4eba\\u6539\\u5199\\uff0c\\u52a0\\u5165\\u4e2a\\u4eba\\u89c6\\u89d2\\n- \\u591a\\u8f6e\\u8fed\\u4ee3\\u786e\\u5b9a\\u6700\\u7ec8\\u7248\\u672c\\n\\n**\\u7b2c\\u56db\\u9636\\u6bb5\\uff1a\\u5448\\u73b0\\uff08AI\\u8f85\\u52a9\\uff09**\\n- \\u7528AI\\u751f\\u6210\\u4f5c\\u54c1\\u5899\\u6587\\u521d\\u7a3f\\n- \\u7b56\\u5c55\\u4eba/\\u827a\\u672f\\u5bb6\\u5171\\u540c\\u5ba1\\u5b9a\\n- AI\\u8f85\\u52a9\\u7ffb\\u8bd1\\u6210\\u82f1\\u6587\\n\\n**\\u7b2c\\u4e94\\u9636\\u6bb5\\uff1a\\u5ba3\\u4f20\\uff08AI\\u8f85\\u52a9\\uff09**\\n- \\u7528AI\\u751f\\u6210\\u5ba3\\u4f20\\u56fe\\u7247\\u6982\\u5ff5\\n- \\u7528AI\\u8d77\\u8349\\u793e\\u4ea4\\u5a92\\u4f53\\u5185\\u5bb9\\u65e5\\u5386\\n- \\u8bbe\\u8ba1\\u5e08\\u57fa\\u4e8eAI\\u6982\\u5ff5\\u505a\\u6700\\u7ec8\\u8bbe\\u8ba1\\n\\n---\\n\\n## \\u516b\\u3001\\u7b56\\u5c55\\u4eba\\u7684AI\\u80fd\\u529b\\u6846\\u67b6\\n\\n### \\u57fa\\u7840\\u80fd\\u529b\\uff08\\u5fc5\\u987b\\u638c\\u63e1\\uff09\\n- \\u4f1a\\u7528AI\\u5de5\\u5177\\u8fdb\\u884c\\u7814\\u7a76\\u548c\\u6587\\u672c\\u751f\\u6210\\n- \\u80fd\\u5224\\u65adAI\\u8f93\\u51fa\\u8d28\\u91cf\\n- \\u80fd\\u5411AI\\u51c6\\u786e\\u63cf\\u8ff0\\u9700\\u6c42\\n\\n### \\u8fdb\\u9636\\u7ea7\\u80fd\\u529b\\uff08\\u63a8\\u8350\\u638c\\u63e1\\uff09\\n- \\u80fd\\u8bbe\\u8ba1\\u548c\\u4f18\\u5316Prompt\\n- \\u80fd\\u7528AI\\u8f85\\u52a9\\u89c6\\u89c9\\u6982\\u5ff5\\n- \\u80fd\\u5efa\\u7acbAI\\u8f85\\u52a9\\u7684\\u7b56\\u5c55\\u5de5\\u4f5c\\u6d41\\n\\n### \\u4e13\\u4e1a\\u7ea7\\u80fd\\u529b\\uff08\\u9009\\u62e9\\u6027\\u638c\\u63e1\\uff09\\n- \\u80fd\\u8bad\\u7ec3\\u4e13\\u5c5eAI\\u6a21\\u578b\\n- \\u80fd\\u6574\\u5408\\u591a\\u4e2aAI\\u5de5\\u5177\\u5b8c\\u6210\\u590d\\u6742\\u4efb\\u52a1\\n- \\u80fd\\u8bc4\\u4f30AI\\u5728\\u7b56\\u5c55\\u4e2d\\u7684\\u4f26\\u7406\\u8fb9\\u754c\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u5982\\u679c\\u4f60\\u662f\\u7b56\\u5c55\\u4eba\\uff0c\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u7528AI\\u8d77\\u8349\\u4e00\\u4efd\\u5c55\\u89c8\\u7b56\\u5c55\\u9648\\u8ff0**\\uff08\\u54ea\\u6015\\u662f\\u4f60\\u4e4b\\u524d\\u505a\\u8fc7\\u7684\\u5c55\\u89c8\\uff09\\n2. **\\u8bc4\\u4f30\\u4f60\\u73b0\\u6709\\u7684\\u7b56\\u5c55\\u5de5\\u4f5c\\u6d41**\\uff0c\\u627e\\u51fa3\\u4e2aAI\\u6700\\u53ef\\u80fd\\u63d0\\u5347\\u6548\\u7387\\u7684\\u73af\\u8282\\n3. **\\u548c\\u4f60\\u7684\\u56e2\\u961f/\\u673a\\u6784\\u8ba8\\u8bbaAI\\u7b56\\u5c55\\u7684\\u4f26\\u7406\\u8fb9\\u754c**\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300a\\u753b\\u5eca\\u548c\\u827a\\u672f\\u673a\\u6784\\u7684AI\\u8f6c\\u578b\\uff1a\\u8fd0\\u8425\\u6548\\u7387\\u63d0\\u534750%\\u7684\\u5b9e\\u6218\\u65b9\\u6cd5\\u300b*\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/05_\\u7b56\\u5c55\\u4eba\\u7684\\u65b0\\u5de5\\u5177_\\u5982\\u4f55\\u7528AI\\u5206\\u6790\\u548c\\u5448\\u73b0\\u827a\\u672f.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.24}",
      "tool_call_id": "call_function_0z5omaar1mzn_1"
    },
    {
      "role": "assistant",
      "content": "现在写第6-10篇：",
      "reasoning": "继续写第6-10篇。",
      "finish_reason": "tool_calls",
      "reasoning_content": "继续写第6-10篇。",
      "reasoning_details": [
        {
          "signature": "46c2bebc574772bb2e414ded42a335b0cf0cb03c3cea8279d21d338f2ea7f98a",
          "thinking": "继续写第6-10篇。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_63m9rawcl7od_1",
          "call_id": "call_function_63m9rawcl7od_1",
          "response_item_id": "fc_function_63m9rawcl7od_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# \\u753b\\u5eca\\u548c\\u827a\\u672f\\u673a\\u6784\\u7684AI\\u8f6c\\u578b\\uff1a\\u8fd0\\u8425\\u6548\\u7387\\u63d0\\u534750%\\u7684\\u5b9e\\u6218\\u65b9\\u6cd5\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u753b\\u5eca\\u4e3a\\u4ec0\\u4e48\\u5fc5\\u987b\\u6570\\u5b57\\u5316\\u8f6c\\u578b\\n\\n2020\\u5e74\\u65b0\\u51a0\\u75ab\\u60c5\\u6539\\u53d8\\u4e86\\u827a\\u672f\\u5e02\\u573a\\u7684\\u57fa\\u672c\\u903b\\u8f91\\uff1a\\n- \\u5b9e\\u4f53\\u753b\\u5eca\\u8bbf\\u5ba2\\u4e0b\\u964d40%\\n- \\u7ebf\\u4e0a\\u9500\\u552e\\u5360\\u6bd4\\u4ece15%\\u4e0a\\u5347\\u523045%\\n- \\u753b\\u5eca\\u88ab\\u8feb\\u5efa\\u7acb\\u6570\\u5b57\\u5316\\u80fd\\u529b\\n- \\u827a\\u672f\\u5bb6\\u7684\\u7ebf\\u4e0a\\u5f71\\u54cd\\u529b\\u6210\\u4e3a\\u753b\\u5eca\\u4ee3\\u7406\\u51b3\\u7b56\\u7684\\u91cd\\u8981\\u56e0\\u7d20\\n\\n\\u4f46\\u5927\\u591a\\u6570\\u753b\\u5eca\\u7684\\u6570\\u5b57\\u5316\\u505c\\u7559\\u5728\\\"\\u628a\\u4f5c\\u54c1\\u56fe\\u53d1\\u5230Instagram\\\"\\u2014\\u2014\\u8fd9\\u4e0d\\u662f\\u6570\\u5b57\\u5316\\u8f6c\\u578b\\uff0c\\u8fd9\\u662f\\u6570\\u5b57\\u5316\\u5b58\\u5728\\u3002\\n\\n\\u771f\\u6b63\\u7684\\u8f6c\\u578b\\u662f\\uff1a\\u7528AI\\u91cd\\u6784\\u753b\\u5eca\\u7684\\u6838\\u5fc3\\u4e1a\\u52a1\\u6d41\\u7a0b\\uff0c\\u4ece\\u827a\\u672f\\u5bb6\\u4ee3\\u7406\\u3001\\u5c55\\u89c8\\u7b56\\u5212\\u3001\\u9500\\u552e\\u7ba1\\u7406\\u5230\\u5ba2\\u6237\\u5173\\u7cfb\\uff0c\\u5168\\u9762\\u63d0\\u5347\\u6548\\u7387\\u3002\\n\\n---\\n\\n## \\u4e00\\u3001\\u753b\\u5eca\\u6838\\u5fc3\\u4e1a\\u52a1\\u6d41\\u7a0b\\u7684AI\\u4f18\\u5316\\n\\n### 1. \\u827a\\u672f\\u5bb6\\u4ee3\\u7406\\uff1a\\u7b5b\\u9009\\u4e0e\\u7814\\u7a76\\n\\n**\\u75db\\u70b9\\uff1a** \\u753b\\u5eca\\u6bcf\\u5e74\\u6536\\u5230\\u4e0a\\u5343\\u4efd\\u827a\\u672f\\u5bb6\\u7533\\u8bf7\\uff0c\\u56e2\\u961f\\u53ea\\u67092-3\\u4eba\\uff0c\\u65e0\\u6cd5\\u9010\\u4e00\\u6df1\\u5165\\u7814\\u7a76\\u3002\\n\\n**AI\\u89e3\\u51b3\\u65b9\\u6848\\uff1a**\\n\\n```\\n\\u8bf7\\u5e2e\\u6211\\u5206\\u6790\\u4ee5\\u4e0b50\\u4f4d\\u827a\\u672f\\u5bb6\\u7533\\u8bf7\\uff0c\\n\\u4ece\\u4ee5\\u4e0b\\u7ef4\\u5ea6\\u8bc4\\u5206\\uff081-10\\u5206\\uff09\\uff1a\\n1. \\u4f5c\\u54c1\\u8d28\\u91cf\\uff08\\u6280\\u672f+\\u6982\\u5ff5\\uff09\\n2. \\u5e02\\u573a\\u6f5c\\u529b\\n3. \\u793e\\u4ea4\\u5a92\\u4f53\\u5f71\\u54cd\\u529b\\n4. \\u5c55\\u89c8\\u5386\\u53f2\\n5. 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\\u9500\\u552e\\u7ba1\\u7406\\uff1a\\u5ba2\\u6237\\u5173\\u7cfb\\u4e0e\\u8ddf\\u5355\\n\\n**\\u75db\\u70b9\\uff1a** \\u753b\\u5eca\\u9500\\u552e\\u4f9d\\u8d56\\u4e2a\\u4eba\\u5173\\u7cfb\\uff0c\\u4f46\\u85cf\\u5bb6\\u8d8a\\u6765\\u8d8a\\u591a\\uff0c\\u9500\\u552e\\u4eba\\u5458\\u65e0\\u6cd5\\u8bb0\\u4f4f\\u6240\\u6709\\u85cf\\u5bb6\\u7684\\u504f\\u597d\\u548c\\u5386\\u53f2\\u4e92\\u52a8\\u3002\\n\\n**AI\\u89e3\\u51b3\\u65b9\\u6848\\uff1a**\\n\\n- **\\u85cf\\u5bb6\\u753b\\u50cf\\u5efa\\u7acb\\uff1a** \\u7528AI\\u5206\\u6790\\u85cf\\u5bb6\\u7684\\u8d2d\\u4e70\\u5386\\u53f2\\u3001\\u504f\\u597d\\u5a92\\u4ecb\\u3001\\u9884\\u7b97\\u8303\\u56f4\\n- **\\u4f5c\\u54c1\\u63a8\\u8350\\uff1a** \\u57fa\\u4e8e\\u85cf\\u5bb6\\u753b\\u50cf\\uff0cAI\\u63a8\\u8350\\u6700\\u9002\\u5408\\u7684\\u9500\\u552e\\u4f5c\\u54c1\\n- **\\u81ea\\u52a8\\u8ddf\\u5355\\u63d0\\u9192\\uff1a** 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AI\\u8d77\\u8349\\u65b0\\u95fb\\u7a3f\\n- AI\\u63a8\\u8350\\u6700\\u76f8\\u5173\\u7684\\u5a92\\u4f53\\u548c\\u8bb0\\u8005\\n- AI\\u751f\\u6210\\u4e2a\\u6027\\u5316\\u5a92\\u4f53 outreach \\u90ae\\u4ef6\\n- \\u81ea\\u52a8\\u8ffd\\u8e2a\\u5a92\\u4f53\\u53cd\\u9988\\n\\n---\\n\\n## \\u4e8c\\u3001\\u753b\\u5eca\\u7684AI\\u5de5\\u5177\\u77e9\\u9635\\n\\n### \\u8fd0\\u8425\\u7ba1\\u7406\\u7c7b\\n- **Notion / Airtable**\\uff1a\\u827a\\u672f\\u5bb6\\u6570\\u636e\\u5e93\\u3001\\u4f5c\\u54c1\\u6570\\u636e\\u5e93\\u3001\\u85cf\\u5bb6\\u7ba1\\u7406\\n- **HubSpot / Salesforce**\\uff1aCRM\\u5ba2\\u6237\\u5173\\u7cfb\\u7ba1\\u7406\\n- **n8n**\\uff1a\\u5de5\\u4f5c\\u6d41\\u81ea\\u52a8\\u5316\\n\\n### \\u5185\\u5bb9\\u751f\\u6210\\u7c7b\\n- **Hermes**\\uff1a\\u7b56\\u5c55\\u6587\\u672c\\u3001\\u65b0\\u95fb\\u7a3f\\u3001\\u827a\\u672f\\u5bb6\\u4ecb\\u7ecd\\n- **ChatGPT / Claude**\\uff1a\\u957f\\u6587\\u672c\\u5185\\u5bb9\\n- **Midjourney / 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\\u5e02\\u573a\\u8d8b\\u52bfAI\\u5206\\u6790\\n- [ ] \\u7ebf\\u4e0a\\u5c55\\u89c8/\\u865a\\u62df\\u5c55\\u5385\\n\\n---\\n\\n## \\u56db\\u3001\\u753b\\u5eca\\u7684AI\\u4f26\\u7406\\u4e0e\\u8fb9\\u754c\\n\\n### \\u5fc5\\u987b\\u900f\\u660e\\u7684\\u4e8b\\n- \\u5c55\\u89c8\\u6587\\u732e\\u4e2dAI\\u7684\\u4f7f\\u7528\\u7a0b\\u5ea6\\n- \\u9500\\u552e\\u6c9f\\u901a\\u4e2dAI\\u7684\\u53c2\\u4e0e\\u7a0b\\u5ea6\\n- \\u7ebf\\u4e0a\\u5185\\u5bb9\\u662f\\u5426\\u7531AI\\u751f\\u6210\\n\\n### \\u53ef\\u4ee5\\u7528AI\\u505a\\u7684\\u4e8b\\n- \\u7b56\\u5c55\\u6587\\u672c\\u521d\\u7a3f\\n- \\u793e\\u4ea4\\u5a92\\u4f53\\u5185\\u5bb9\\n- \\u7814\\u7a76\\u8d44\\u6599\\u6574\\u7406\\n- \\u6570\\u636e\\u5206\\u6790\\n\\n### \\u4e0d\\u5e94\\u8be5\\u7528AI\\u505a\\u7684\\u4e8b\\n- \\u76f4\\u63a5\\u4e0e\\u85cf\\u5bb6\\u6c9f\\u901a\\uff08\\u53ef\\u4ee5\\u6709AI\\u8f85\\u52a9\\uff09\\n- \\u51b3\\u5b9a\\u4ee3\\u7406\\u54ea\\u4f4d\\u827a\\u672f\\u5bb6\\n- 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AI\\u63d0\\u9192+\\u5efa\\u8bae |\\n| \\u65b0\\u827a\\u672f\\u5bb6\\u7814\\u7a76 | \\u4e0d\\u7cfb\\u7edf | AI\\u6279\\u91cf\\u5206\\u6790 |\\n| \\u793e\\u4ea4\\u5a92\\u4f53 | \\u8fd0\\u8425\\u517c\\u804c | AI\\u5185\\u5bb9\\u65e5\\u5386+\\u751f\\u6210 |\\n| \\u9500\\u552e\\u9884\\u6d4b | \\u51ed\\u7ecf\\u9a8c | \\u6570\\u636e+AI\\u5206\\u6790 |\\n\\n**\\u7ed3\\u679c\\uff1a** \\n- \\u8fd0\\u8425\\u6548\\u7387\\u63d0\\u534740%\\n- \\u85cf\\u5bb6\\u590d\\u8d2d\\u7387\\u63d0\\u534725%\\n- \\u65b0\\u85cf\\u5bb6\\u5f00\\u53d1\\u6548\\u7387\\u63d0\\u534760%\\n\\n---\\n\\n## \\u516d\\u3001\\u753b\\u5eca\\u4e3b\\u7684AI\\u51b3\\u7b56\\u6846\\u67b6\\n\\n\\u5728\\u51b3\\u5b9a\\u662f\\u5426\\u5f15\\u5165\\u67d0\\u4e2aAI\\u5de5\\u5177\\u65f6\\uff0c\\u95ee\\u81ea\\u5df1\\uff1a\\n\\n1. **\\u8fd9\\u4e2a\\u5de5\\u5177\\u89e3\\u51b3\\u7684\\u662f\\u771f\\u95ee\\u9898\\u8fd8\\u662f\\u4f2a\\u9700\\u6c42\\uff1f**\\n2. **\\u6295\\u5165\\u4ea7\\u51fa\\u6bd4\\u662f\\u591a\\u5c11\\uff1f\\uff08\\u65f6\\u95f4\\u6210\\u672c vs \\u6548\\u7387\\u63d0\\u5347\\uff09**\\n3. **\\u6211\\u7684\\u56e2\\u961f\\u80fd\\u5b66\\u4f1a\\u4f7f\\u7528\\u5b83\\u5417\\uff1f**\\n4. **\\u5b83\\u4f1a\\u6539\\u53d8\\u6211\\u7684\\u4e1a\\u52a1\\u672c\\u8d28\\u5417\\uff1f\\uff08\\u5982\\u679c\\u662f\\uff0c\\u8981\\u8c28\\u614e\\uff09**\\n5. **\\u7ade\\u4e89\\u5bf9\\u624b\\u5728\\u7528\\u5417\\uff1f**\\n\\n---\\n\\n## \\u4e03\\u3001n8n\\u753b\\u5eca\\u81ea\\u52a8\\u5316\\u5de5\\u4f5c\\u6d41\\u793a\\u4f8b\\n\\n### \\u5de5\\u4f5c\\u6d411\\uff1a\\u827a\\u672f\\u5bb6\\u7533\\u8bf7\\u81ea\\u52a8\\u5904\\u7406\\n\\n```\\n[\\u90ae\\u4ef6\\u6536\\u5230\\u827a\\u672f\\u5bb6\\u7533\\u8bf7]\\n    \\u2193\\n[n8n\\u81ea\\u52a8\\u63d0\\u53d6\\u7533\\u8bf7\\u4fe1\\u606f]\\n    \\u2193\\n[AI\\u5206\\u6790\\u7533\\u8bf7\\u8d28\\u91cf]\\n    \\u2193\\n[\\u9ad8\\u8d28\\u91cf\\u7533\\u8bf7 \\u2192 \\u753b\\u5eca\\u603b\\u76d1\\u5ba1\\u6279]\\n    \\u2193\\n[\\u4f4e\\u8d28\\u91cf\\u7533\\u8bf7 \\u2192 \\u81ea\\u52a8\\u793c\\u8c8c\\u56de\\u590d]\\n    \\u2193\\n[\\u66f4\\u65b0\\u827a\\u672f\\u5bb6\\u6570\\u636e\\u5e93]\\n```\\n\\n### \\u5de5\\u4f5c\\u6d412\\uff1a\\u5c55\\u89c8\\u7b79\\u5907\\u63d0\\u9192\\n\\n```\\n[\\u5c55\\u89c8\\u5012\\u8ba1\\u65f630\\u5929]\\n    \\u2193\\n[AI\\u751f\\u6210\\u65b0\\u95fb\\u7a3f\\u8349\\u7a3f]\\n    \\u2193\\n[\\u53d1\\u9001\\u7b56\\u5c55\\u4eba\\u5ba1\\u6838]\\n    \\u2193\\n[\\u7b56\\u5c55\\u4eba\\u4fee\\u6539\\u786e\\u8ba4]\\n    \\u2193\\n[\\u81ea\\u52a8\\u53d1\\u9001\\u5a92\\u4f53\\u9080\\u8bf7]\\n    \\u2193\\n[\\u66f4\\u65b0\\u5b98\\u7f51\\u5c55\\u89c8\\u4fe1\\u606f]\\n```\\n\\n### \\u5de5\\u4f5c\\u6d413\\uff1a\\u85cf\\u5bb6\\u751f\\u65e5/\\u7eaa\\u5ff5\\u65e5\\u81ea\\u52a8\\u5316\\n\\n```\\n[\\u65e5\\u671f\\u89e6\\u53d1\\uff1a\\u6bcf\\u67081\\u53f7]\\n    \\u2193\\n[AI\\u67e5\\u8be2\\u5f53\\u6708\\u751f\\u65e5/\\u6536\\u85cf\\u7eaa\\u5ff5\\u65e5\\u7684\\u85cf\\u5bb6]\\n    \\u2193\\n[\\u751f\\u6210\\u4e2a\\u6027\\u5316\\u95ee\\u5019\\u5efa\\u8bae]\\n    \\u2193\\n[\\u9500\\u552e\\u786e\\u8ba4\\u53d1\\u9001]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u4e92\\u52a8\\u5386\\u53f2]\\n```\\n\\n---\\n\\n## \\u516b\\u3001\\u753b\\u5ecaAI\\u8f6c\\u578b\\u7684\\u98ce\\u9669\\u63d0\\u793a\\n\\n### 1. \\u8fc7\\u5ea6\\u4f9d\\u8d56AI\\nAI\\u662f\\u8f85\\u52a9\\u5de5\\u5177\\uff0c\\u4e0d\\u662f\\u51b3\\u7b56\\u8005\\u3002\\u6700\\u7ec8\\u51b3\\u5b9a\\u6743\\u5fc5\\u987b\\u5728\\u4eba\\u624b\\u91cc\\u3002\\n\\n### 2. \\u6570\\u636e\\u5b89\\u5168\\n\\u753b\\u5eca\\u7684\\u6570\\u636e\\uff08\\u85cf\\u5bb6\\u4fe1\\u606f\\u3001\\u4f5c\\u54c1\\u4ef7\\u683c\\uff09\\u975e\\u5e38\\u654f\\u611f\\u3002\\u9009\\u62e9AI\\u5de5\\u5177\\u65f6\\u8981\\u6ce8\\u610f\\u6570\\u636e\\u5b89\\u5168\\u3002\\n\\n### 3. \\u827a\\u672f\\u672c\\u8d28\\n\\u753b\\u5eca\\u7684\\u6838\\u5fc3\\u4ef7\\u503c\\u662f\\\"\\u53d1\\u73b0\\u548c\\u57f9\\u80b2\\u827a\\u672f\\\"\\uff0c\\u800c\\u4e0d\\u662f\\\"\\u9ad8\\u6548\\u8fd0\\u8425\\\"\\u3002AI\\u63d0\\u5347\\u6548\\u7387\\uff0c\\u4f46\\u827a\\u672f\\u5224\\u65ad\\u548c\\u5ba1\\u7f8e\\u5f15\\u9886\\u5fc5\\u987b\\u662f\\u4eba\\u3002\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u5982\\u679c\\u4f60\\u662f\\u753b\\u5eca\\u603b\\u76d1/\\u827a\\u672f\\u673a\\u6784\\u8d1f\\u8d23\\u4eba\\uff0c\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u76d8\\u70b9\\u4f60\\u73b0\\u5728\\u6700\\u82b1\\u65f6\\u95f4\\u76843\\u4e2a\\u5de5\\u4f5c\\u73af\\u8282**\\n2. **\\u7814\\u7a76\\u8fd93\\u4e2a\\u73af\\u8282\\u6709\\u54ea\\u4e9bAI\\u5de5\\u5177\\u53ef\\u4ee5\\u8f85\\u52a9**\\n3. **\\u9009\\u62e91\\u4e2a\\u73af\\u8282\\uff0c\\u5f00\\u59cb\\u5c0f\\u89c4\\u6a21AI\\u5b9e\\u9a8c**\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300a\\u97f3\\u4e50\\u4eba\\u4e0eAI\\u521b\\u4f5c\\uff1aSuno\\u3001Udio\\u4e0e\\u65b0\\u4e00\\u4ee3\\u97f3\\u4e50\\u4eba\\u7684\\u751f\\u5b58\\u4e4b\\u9053\\u300b*\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/06_\\u753b\\u5eca\\u548c\\u827a\\u672f\\u673a\\u6784\\u7684AI\\u8f6c\\u578b.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.23}",
      "tool_call_id": "call_function_63m9rawcl7od_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "继续写第7-10篇。",
      "finish_reason": "tool_calls",
      "reasoning_content": "继续写第7-10篇。",
      "reasoning_details": [
        {
          "signature": "dc88055fac2899b551e5a10a02b1412c0a52f11f524df3a322550f4486090eba",
          "thinking": "继续写第7-10篇。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_4qkgvxc0bt55_1",
          "call_id": "call_function_4qkgvxc0bt55_1",
          "response_item_id": "fc_function_4qkgvxc0bt55_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# \\u97f3\\u4e50\\u4eba\\u4e0eAI\\u521b\\u4f5c\\uff1aSuno\\u3001Udio\\u4e0e\\u65b0\\u4e00\\u4ee3\\u97f3\\u4e50\\u4eba\\u7684\\u751f\\u5b58\\u4e4b\\u9053\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u97f3\\u4e50\\u884c\\u4e1a\\u7684AI\\u9769\\u547d\\n\\n2024\\u5e74\\u521d\\uff0cSuno\\u7684\\u51fa\\u73b0\\u5728\\u97f3\\u4e50\\u884c\\u4e1a\\u6295\\u4e0b\\u4e86\\u4e00\\u9897\\u6838\\u5f39\\uff1a\\u4efb\\u4f55\\u4eba\\u53ea\\u9700\\u8981\\u8f93\\u5165\\u51e0\\u4e2a\\u63d0\\u793a\\u8bcd\\uff0c\\u5c31\\u80fd\\u572830\\u79d2\\u5185\\u751f\\u6210\\u4e00\\u9996\\u5b8c\\u6574\\u7684\\u6b4c\\u66f2\\u2014\\u2014\\u5305\\u62ec\\u65cb\\u5f8b\\u3001\\u7f16\\u66f2\\u3001\\u6df7\\u97f3\\uff0c\\u751a\\u81f3\\u6b4c\\u8bcd\\u3002\\n\\n\\u4e00\\u5e74\\u540e\\uff0cUdio\\u3001Stable Audio\\u3001Google 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\\u6700\\u5168\\u9762\\uff0c\\u4e2d\\u82f1\\u6587\\u652f\\u6301\\u597d | \\u514d\\u8d39+Pro | \\u5168\\u9762\\u63a2\\u7d22 |\\n| Udio | \\u97f3\\u8d28\\u597d\\uff0c\\u793e\\u533a\\u6d3b\\u8dc3 | \\u514d\\u8d39+Pro | \\u6b27\\u7f8e\\u97f3\\u4e50\\u3001\\u7535\\u5b50 |\\n| Stable Audio | \\u5f00\\u6e90\\uff0c\\u53ef\\u672c\\u5730\\u90e8\\u7f72 | \\u5f00\\u6e90+Pro | \\u6280\\u672f\\u4eba\\u5458 |\\n| MusicFX | Google\\u51fa\\u54c1 | \\u514d\\u8d39 | \\u5feb\\u901f\\u5b9e\\u9a8c |\\n| Boomy | \\u6700\\u7b80\\u5355\\uff0c\\u4e00\\u952e\\u53d1\\u5e03 | \\u514d\\u8d39+\\u6536\\u5165\\u5206\\u6210 | \\u5185\\u5bb9\\u521b\\u4f5c\\u8005 |\\n\\n### \\u6bcf\\u4e00\\u7c7b\\u5de5\\u5177\\u7684\\u4f18\\u7f3a\\u70b9\\n\\n**Suno\\uff1a**\\n- \\u2705 \\u6700\\u63a5\\u8fd1\\\"\\u6210\\u54c1\\\"\\u7684\\u8d28\\u91cf\\n- \\u2705 \\u4e2d\\u6587\\u652f\\u6301\\u597d\\n- \\u2705 \\u793e\\u533a\\u5206\\u4eab\\u529f\\u80fd\\u5f3a\\n- \\u274c \\u540c\\u8d28\\u5316\\u98ce\\u9669\\uff08\\u5f88\\u591a\\u4eba\\u7528\\u540c\\u6837\\u7684\\u98ce\\u683c\\uff09\\n- \\u274c \\u7248\\u6743\\u4e89\\u8bae\\uff08\\u8bad\\u7ec3\\u6570\\u636e\\u95ee\\u9898\\uff09\\n\\n**Udio\\uff1a**\\n- \\u2705 \\u97f3\\u8d28\\u597d\\uff0c\\u6df7\\u97f3\\u8d28\\u91cf\\u9ad8\\n- \\u2705 \\u7535\\u5b50\\u97f3\\u4e50/EDM\\u5f3a\\u9879\\n- \\u2705 \\u793e\\u533a\\u4e92\\u52a8\\u597d\\n- \\u274c \\u4e2d\\u6587\\u652f\\u6301\\u4e0d\\u5982Suno\\n- \\u274c \\u514d\\u8d39\\u989d\\u5ea6\\u6709\\u9650\\n\\n**\\u672c\\u5730\\u90e8\\u7f72\\uff08Stable Audio\\u7b49\\uff09\\uff1a**\\n- \\u2705 \\u5b8c\\u5168\\u53ef\\u63a7\\uff0c\\u6570\\u636e\\u4e0d\\u4e0a\\u4f20\\n- \\u2705 \\u53ef\\u5fae\\u8c03\\u6a21\\u578b\\n- \\u2705 \\u65e0\\u7248\\u6743\\u98ce\\u9669\\n- \\u274c \\u9700\\u8981\\u6280\\u672f\\u80fd\\u529b\\n- \\u274c \\u786c\\u4ef6\\u8981\\u6c42\\u9ad8\\n\\n---\\n\\n## \\u4e8c\\u3001AI\\u97f3\\u4e50\\u521b\\u4f5c\\u7684\\u6838\\u5fc3\\u65b9\\u6cd5\\u8bba\\n\\n### 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AI\\u751f\\u6210\\u7684\\u97f3\\u8272\\u4f5c\\u4e3a\\u53c2\\u8003\\uff0c\\u4f46\\u7528VST\\u91cd\\u65b0\\u505a\\n\\n**\\u6df7\\u97f3/\\u6bcd\\u5e26\\uff1a**\\n- \\u7528LANDR\\u505a\\u521d\\u7248\\u6bcd\\u5e26\\n- \\u4eba\\u5de5\\u5fae\\u8c03\\u548c\\u6700\\u7ec8\\u5ba1\\u5b9a\\n\\n### \\u6210\\u679c\\u5bf9\\u6bd4\\n\\n| \\u6307\\u6807 | 2023\\u5e74 | 2025\\u5e74 |\\n|------|--------|--------|\\n| \\u6bcf\\u6708\\u53d1\\u884c | 1\\u9996 | 4\\u9996 |\\n| \\u6d41\\u5a92\\u4f53\\u64ad\\u653e | \\u6708\\u57471\\u4e07 | \\u6708\\u574715\\u4e07 |\\n| \\u6536\\u5165 | \\u57fa\\u672c\\u4e3a0 | \\u6708\\u57473000\\u5143 |\\n| \\u521b\\u4f5c\\u65f6\\u95f4/\\u9996 | 80\\u5c0f\\u65f6 | 40\\u5c0f\\u65f6 |\\n\\n### 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**\\u5b9e\\u65f6\\u751f\\u6210**\\uff1a\\u6839\\u636e\\u73b0\\u573a\\u89c2\\u4f17\\u53cd\\u5e94\\u5b9e\\u65f6\\u8c03\\u6574\\n4. **3D\\u97f3\\u9891**\\uff1aAI\\u751f\\u6210\\u7a7a\\u95f4\\u97f3\\u9891/\\u6c89\\u6d78\\u5f0f\\u97f3\\u4e50\\n\\n### \\u5e02\\u573a\\u5c42\\u9762\\n\\n1. **\\u7248\\u6743\\u6846\\u67b6\\u6e05\\u6670\\u5316**\\uff1a2027\\u5e74\\u524d\\u540e\\u53ef\\u80fd\\u6709\\u5168\\u7403\\u6027\\u6807\\u51c6\\n2. **\\u5e73\\u53f0\\u6574\\u5408**\\uff1aAI\\u97f3\\u4e50\\u5e73\\u53f0\\u548c\\u4f20\\u7edf\\u6d41\\u5a92\\u4f53\\u5e73\\u53f0\\u5408\\u5e76\\n3. **\\u4ef7\\u503c\\u91cd\\u6784**\\uff1a\\u7eafAI\\u97f3\\u4e50\\u4ef7\\u683c\\u4e0b\\u964d\\uff0c\\\"\\u771f\\u4eba\\u6f14\\u51fa+AI\\u5236\\u4f5c\\\"\\u6210\\u4e3a\\u4e3b\\u6d41\\n\\n### \\u804c\\u4e1a\\u5c42\\u9762\\n\\n1. **\\u65b0\\u804c\\u4e1a\\u51fa\\u73b0**\\uff1aAI\\u97f3\\u4e50\\u8bad\\u7ec3\\u5e08\\u3001AI\\u97f3\\u4e50\\u7b56\\u5c55\\u4eba\\n2. **\\u5206\\u5de5\\u7ec6\\u5316**\\uff1a\\u8bcd\\u4f5c\\u8005\\u3001\\u66f2\\u4f5c\\u8005\\u3001\\u7f16\\u66f2\\u3001\\u5236\\u4f5c\\u4eba\\u5206\\u5de5\\u66f4\\u660e\\u786e\\n3. **\\u73b0\\u573a\\u6f14\\u51fa\\u4ef7\\u503c\\u4e0a\\u5347**\\uff1a\\u56e0\\u4e3aAI\\u65e0\\u6cd5\\u66ff\\u4ee3\\u771f\\u5b9e\\u6f14\\u51fa\\u7684\\u4f53\\u9a8c\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u5982\\u679c\\u4f60\\u662f\\u97f3\\u4e50\\u4eba\\uff0c\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u7528Suno\\u751f\\u6210\\u4e00\\u9996\\u5b8c\\u5168\\u7531AI\\u7684\\u6b4c\\u66f2**\\uff0c\\u611f\\u53d7AI\\u7684\\u4e0a\\u9650\\u548c\\u4e0b\\u9650\\n2. **\\u7528\\u4f60\\u539f\\u6765\\u4e0d\\u505aAI\\u7684\\u65b9\\u5f0f\\uff0c\\u521b\\u4f5c\\u4e00\\u9996\\u6b4c**\\uff0c\\u611f\\u53d7\\u4f60\\u7684\\u72ec\\u7279\\u4ef7\\u503c\\u5728\\u54ea\\u91cc\\n3. **\\u627e\\u5230AI\\u548c\\u4f60\\u7684\\u4ea4\\u754c\\u7ebf**\\uff1a\\u786e\\u5b9a\\u4f60\\u5728\\u521b\\u4f5c\\u4e2d\\u613f\\u610f\\u8ba9AI\\u53c2\\u4e0e\\u54ea\\u4e9b\\u73af\\u8282\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300a\\u89c6\\u9891\\u4e0e\\u8868\\u6f14\\u827a\\u672f\\uff1aAI\\u65f6\\u4ee3\\u7684\\u5f71\\u50cf\\u521b\\u4f5c\\u65b0\\u8303\\u5f0f\\u300b*\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/07_\\u97f3\\u4e50\\u4eba\\u4e0eAI\\u521b\\u4f5c_Suno_Udio\\u4e0e\\u65b0\\u4e00\\u4ee3\\u97f3\\u4e50\\u4eba\\u7684\\u751f\\u5b58\\u4e4b\\u9053.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.24}",
      "tool_call_id": "call_function_4qkgvxc0bt55_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "好，继续写第8-10篇。",
      "finish_reason": "tool_calls",
      "reasoning_content": "好，继续写第8-10篇。",
      "reasoning_details": [
        {
          "signature": "f9db4264412ac3bd45cb4ebd0291abd722436a2846b473f3772ef8c068ccb7ef",
          "thinking": "好，继续写第8-10篇。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_jkbx9299g9p2_1",
          "call_id": "call_function_jkbx9299g9p2_1",
          "response_item_id": "fc_function_jkbx9299g9p2_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# \\u89c6\\u9891\\u4e0e\\u8868\\u6f14\\u827a\\u672f\\uff1aAI\\u65f6\\u4ee3\\u7684\\u5f71\\u50cf\\u521b\\u4f5c\\u65b0\\u8303\\u5f0f\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u5f53AI\\u5f00\\u59cb\\u5236\\u4f5c\\u89c6\\u9891\\n\\n2024\\u5e74\\uff0cSora\\u3001Runway\\u3001Pika\\u7b49\\u5de5\\u5177\\u7684\\u51fa\\u73b0\\uff0c\\u6807\\u5fd7\\u7740AI\\u89c6\\u9891\\u751f\\u6210\\u8fdb\\u5165\\u53ef\\u7528\\u9636\\u6bb5\\u3002\\n\\n\\u52302026\\u5e74\\uff1a\\n- AI\\u53ef\\u4ee5\\u751f\\u621010\\u79d2\\u7684\\u9ad8\\u6e05\\u89c6\\u9891\\n- \\u53ef\\u4ee5\\u6839\\u636e\\u4e00\\u5f20\\u56fe\\u7247\\u751f\\u6210\\u52a8\\u753b\\n- \\u53ef\\u4ee5\\u6839\\u636e\\u6587\\u5b57\\u63cf\\u8ff0\\u751f\\u6210\\u590d\\u6742\\u573a\\u666f\\n- \\u53ef\\u4ee5\\u5bf9\\u89c6\\u9891\\u8fdb\\u884c\\u98ce\\u683c\\u8fc1\\u79fb\\u548c\\u7f16\\u8f91\\n\\n\\u8fd9\\u5bf9\\u89c6\\u9891\\u521b\\u4f5c\\u8005\\u3001\\u8868\\u6f14\\u827a\\u672f\\u5bb6\\u3001\\u5bfc\\u6f14\\u610f\\u5473\\u7740\\u4ec0\\u4e48\\uff1f\\n\\n---\\n\\n## \\u4e00\\u3001AI\\u89c6\\u9891\\u5de5\\u5177\\u7684\\u73b0\\u72b6\\n\\n### \\u4e3b\\u6d41\\u5de5\\u5177\\u5bf9\\u6bd4\\n\\n| \\u5de5\\u5177 | \\u64c5\\u957f | \\u5c40\\u9650 | \\u9002\\u5408 |\\n|------|------|------|------|\\n| Sora (OpenAI) | \\u590d\\u6742\\u573a\\u666f\\u3001\\u7269\\u7406\\u771f\\u5b9e | \\u65f6\\u957f\\u9650\\u5236\\u3001\\u4ef7\\u683c\\u9ad8 | \\u5b9e\\u9a8c\\u6027\\u521b\\u4f5c |\\n| Runway Gen-2/3 | \\u98ce\\u683c\\u5316\\u3001\\u827a\\u672f\\u611f | \\u4eba\\u7269\\u52a8\\u4f5c\\u81ea\\u7136\\u5ea6 | \\u827a\\u672f\\u77ed\\u7247 |\\n| Pika | \\u52a8\\u753b\\u98ce\\u683c | \\u5199\\u5b9e\\u573a\\u666f | \\u52a8\\u753b/\\u98ce\\u683c\\u5316\\u5185\\u5bb9 |\\n| Kling (\\u5feb\\u624b) | \\u4e2d\\u6587\\u573a\\u666f\\u3001\\u4e2d\\u56fd\\u98ce | \\u56fd\\u9645\\u5316\\u573a\\u666f | \\u4e2d\\u56fd\\u5e02\\u573a |\\n| HaiCuit | \\u97f3\\u4e50\\u8282\\u594f\\u540c\\u6b65 | \\u590d\\u6742\\u573a\\u666f | \\u97f3\\u4e50MV |\\n| Stable Video | \\u5f00\\u6e90\\u53ef\\u63a7 | \\u9700\\u8981\\u786c\\u4ef6 | \\u6280\\u672f\\u578b\\u521b\\u4f5c\\u8005 |\\n\\n### \\u6bcf\\u79cd\\u5de5\\u5177\\u7684\\u827a\\u672f\\u5b9a\\u4f4d\\n\\n**Runway\\uff1a** \\u5b9a\\u4f4d\\u6700\\u63a5\\u8fd1\\\"\\u4e13\\u4e1a\\u5f71\\u89c6\\u521b\\u4f5c\\u8f85\\u52a9\\\"\\uff0c\\u6709\\u5f88\\u591a\\u827a\\u672f\\u5bb6\\u5728\\u7528\\u5b83\\u521b\\u4f5c\\u5b9e\\u9a8c\\u77ed\\u7247\\u548c\\u827a\\u672f\\u5f71\\u50cf\\u3002\\n\\n**Sora\\uff1a** \\u76ee\\u524d\\u66f4\\u591a\\u662f\\\"\\u6982\\u5ff5\\u9a8c\\u8bc1\\\"\\uff0c\\u4f46\\u5df2\\u7ecf\\u80fd\\u4ea7\\u51fa\\u4ee4\\u4eba\\u5370\\u8c61\\u6df1\\u523b\\u7684\\u827a\\u672f\\u4f5c\\u54c1\\u3002\\n\\n**Pika\\uff1a** 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**\\u8eab\\u4f53\\u7684\\u53ef\\u80fd\\u6027\\u7684\\u6269\\u5c55**\\uff1aAI\\u53ef\\u4ee5\\u8ba9\\u4f60\\u8eab\\u4f53\\u7684\\u5f62\\u8c61\\u548c\\u52a8\\u4f5c\\u8d85\\u51fa\\u7269\\u7406\\u9650\\u5236\\n3. **\\u7a7a\\u95f4\\u611f\\u7684\\u5b9e\\u9a8c**\\uff1aAI\\u53ef\\u4ee5\\u521b\\u9020\\u73b0\\u5b9e\\u4e2d\\u4e0d\\u5b58\\u5728\\u7684\\u7a7a\\u95f4\\n4. **\\u53d9\\u4e8b\\u7684\\u788e\\u7247\\u5316**\\uff1a\\u975e\\u7ebf\\u6027\\u7684\\u3001\\u53bb\\u4e2d\\u5fc3\\u5316\\u7684\\u53d9\\u4e8b\\u65b9\\u5f0f\\n\\n---\\n\\n## \\u4e5d\\u3001n8n + AI\\u89c6\\u9891\\u521b\\u4f5c\\u81ea\\u52a8\\u5316\\n\\n### \\u5de5\\u4f5c\\u6d411\\uff1a\\u5185\\u5bb9\\u81ea\\u52a8\\u53d1\\u5e03\\n\\n```\\n[AI\\u89c6\\u9891\\u751f\\u6210\\u5b8c\\u6210]\\n    \\u2193\\n[n8n\\u81ea\\u52a8\\uff1a\\n  - \\u751f\\u6210\\u5c01\\u9762\\u56fe\\n  - \\u622a\\u53d6\\u7cbe\\u5f69\\u7247\\u6bb5\\n  - \\u63d0\\u53d6\\u5b57\\u5e55/\\u6587\\u6848\\n  - \\u751f\\u6210\\u793e\\u4ea4\\u5a92\\u4f53\\u63cf\\u8ff0\\n]\\n    \\u2193\\n[\\u4eba\\u5de5\\u786e\\u8ba4]\\n    \\u2193\\n[\\u81ea\\u52a8\\u53d1\\u5e03\\u5230\\uff1a\\n  - YouTube\\n  - \\u5c0f\\u7ea2\\u4e66\\n  - Instagram Reels\\n  - B\\u7ad9\\n]\\n```\\n\\n### \\u5de5\\u4f5c\\u6d412\\uff1a\\u7c89\\u4e1d\\u53cd\\u9988\\u5206\\u6790\\n\\n```\\n[\\u6bcf\\u5468\\u6536\\u96c6\\u8bc4\\u8bba/\\u53cd\\u9988]\\n    \\u2193\\n[AI\\u60c5\\u611f\\u5206\\u6790]\\n    \\u2193\\n[\\u751f\\u6210\\u53cd\\u9988\\u62a5\\u544a\\uff1a\\n  - \\u89c2\\u4f17\\u6700\\u559c\\u6b22\\u54ea\\u4e2a\\u7247\\u6bb5\\n  - \\u8d1f\\u9762\\u53cd\\u9988\\u7684\\u539f\\u56e0\\n  - \\u6539\\u8fdb\\u5efa\\u8bae\\n]\\n    \\u2193\\n[\\u6307\\u5bfc\\u4e0b\\u4e00\\u671f\\u521b\\u4f5c]\\n```\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u5982\\u679c\\u4f60\\u662f\\u89c6\\u9891\\u521b\\u4f5c\\u8005/\\u8868\\u6f14\\u827a\\u672f\\u5bb6\\uff0c\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u7528Runway\\u6216Pika\\u505a\\u4e00\\u4e2a30\\u79d2\\u7684AI\\u89c6\\u9891**\\uff0c\\u611f\\u53d7AI\\u89c6\\u9891\\u7684\\u80fd\\u529b\\u8fb9\\u754c\\n2. **\\u8bc4\\u4f30\\u4f60\\u7684\\u521b\\u4f5c\\u4e2d\\u54ea\\u4e9b\\u73af\\u8282\\u53ef\\u4ee5\\u7528AI\\u8f85\\u52a9**\\uff0c\\u54ea\\u4e9b\\u5fc5\\u987b\\u4fdd\\u6301\\u4eba\\u5de5\\n3. **\\u5f00\\u59cb\\u5efa\\u7acb\\u4f60\\u7684\\\"AI\\u8f85\\u52a9\\u521b\\u4f5c\\u5de5\\u4f5c\\u6d41\\\"**\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300a\\u827a\\u672f\\u5bb6\\u7684\\u8d22\\u52a1\\u7ba1\\u7406\\uff1aAI\\u5982\\u4f55\\u5e2e\\u4f60\\u7406\\u6e05\\u6536\\u5165\\u3001\\u7a0e\\u52a1\\u548c\\u6295\\u8d44\\u300b*\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/08_\\u89c6\\u9891\\u4e0e\\u8868\\u6f14\\u827a\\u672f_AI\\u65f6\\u4ee3\\u7684\\u5f71\\u50cf\\u521b\\u4f5c\\u65b0\\u8303\\u5f0f.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.27}",
      "tool_call_id": "call_function_jkbx9299g9p2_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "继续写第9篇。",
      "finish_reason": "tool_calls",
      "reasoning_content": "继续写第9篇。",
      "reasoning_details": [
        {
          "signature": "729b9150f59d3a80290bec02e7bd6a1b4880c6cf2dde4697e2b5e845badcb1bd",
          "thinking": "继续写第9篇。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_h5oi5ii841ox_1",
          "call_id": "call_function_h5oi5ii841ox_1",
          "response_item_id": "fc_function_h5oi5ii841ox_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# \\u827a\\u672f\\u5bb6\\u7684\\u8d22\\u52a1\\u7ba1\\u7406\\uff1aAI\\u5982\\u4f55\\u5e2e\\u4f60\\u7406\\u6e05\\u6536\\u5165\\u3001\\u7a0e\\u52a1\\u548c\\u6295\\u8d44\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u827a\\u672f\\u5bb6\\u4e0d\\u8c08\\u94b1\\uff1f\\u90a3\\u662f\\u8fc7\\u53bb\\u7684\\u4e8b\\u4e86\\n\\n\\u5927\\u591a\\u6570\\u827a\\u672f\\u5bb6\\u6709\\u4e00\\u4e2a\\u5171\\u540c\\u70b9\\uff1a\\u4e0d\\u64c5\\u957f\\u8d22\\u52a1\\u7ba1\\u7406\\u3002\\n\\n\\u8fd9\\u4e0d\\u5b8c\\u5168\\u662f\\u827a\\u672f\\u5bb6\\u7684\\u95ee\\u9898\\u3002\\u827a\\u672f\\u884c\\u4e1a\\u957f\\u671f\\u4ee5\\u6765\\u6709\\u4e00\\u79cd\\\"\\u8c08\\u94b1\\u4f24\\u827a\\u672f\\\"\\u7684\\u9690\\u6027\\u6587\\u5316\\u2014\\u2014\\u4eff\\u4f5b\\u827a\\u672f\\u5bb6\\u5e94\\u8be5\\\"\\u7eaf\\u7cb9\\\"\\u5730\\u8ffd\\u6c42\\u827a\\u672f\\uff0c\\u800c\\u88ab\\u91d1\\u94b1\\u6c61\\u67d3\\u662f\\u53ef\\u803b\\u7684\\u3002\\n\\n\\u4f46\\u73b0\\u5b9e\\u662f\\uff1a\\n- 70%\\u7684\\u827a\\u672f\\u5bb6\\u5728\\u804c\\u4e1a\\u751f\\u6daf\\u7684\\u524d5\\u5e74\\u7ecf\\u6d4e\\u56f0\\u96be\\n- 50%\\u7684\\u827a\\u672f\\u5bb6\\u56e0\\u4e3a\\u8d22\\u52a1\\u95ee\\u9898\\u4e0d\\u5f97\\u4e0d\\u534a\\u9014\\u79bb\\u5f00\\u827a\\u672f\\u884c\\u4e1a\\n- \\u53ea\\u6709\\u4e0d\\u523010%\\u7684\\u827a\\u672f\\u5bb6\\u80fd\\u9760\\u7eaf\\u827a\\u672f\\u6536\\u5165\\u751f\\u6d3b\\n\\n**\\u8d22\\u52a1\\u7ba1\\u7406\\u4e0d\\u662f\\u827a\\u672f\\u7684\\u5bf9\\u7acb\\u9762\\uff0c\\u800c\\u662f\\u827a\\u672f\\u751f\\u6daf\\u6301\\u7eed\\u53d1\\u5c55\\u7684\\u57fa\\u7840\\u3002**\\n\\n\\u8fd9\\u7bc7\\u6587\\u7ae0\\u544a\\u8bc9\\u4f60\\uff1a\\u5982\\u4f55\\u7528AI\\u5de5\\u5177\\u7cfb\\u7edf\\u5316\\u7ba1\\u7406\\u4f60\\u7684\\u827a\\u672f\\u8d22\\u52a1\\u3002\\n\\n---\\n\\n## \\u4e00\\u3001\\u827a\\u672f\\u5bb6\\u6536\\u5165\\u7684\\u591a\\u5143\\u7ed3\\u6784\\n\\n### \\u827a\\u672f\\u6536\\u5165\\u7684\\u5e38\\u89c1\\u7c7b\\u578b\\n\\n**\\u76f4\\u63a5\\u827a\\u672f\\u6536\\u5165\\uff1a**\\n- \\u4f5c\\u54c1\\u9500\\u552e\\uff08\\u753b\\u5eca\\u4ee3\\u7406\\u3001\\u81ea\\u552e\\uff09\\n- 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AI\\u80fd\\u5e2e\\u7684\\u6709\\u9650\\n\\n\\u8d22\\u52a1\\u7ba1\\u7406\\u7684\\u5de5\\u5177\\u548c\\u65b9\\u6cd5AI\\u90fd\\u53ef\\u4ee5\\u5e2e\\u4f60\\uff0c\\u4f46**\\u8d22\\u52a1\\u7126\\u8651\\u7684\\u6839\\u6e90\\u662f\\u5fc3\\u7406\\u95ee\\u9898**\\uff0c\\u4e0d\\u662f\\u6280\\u672f\\u95ee\\u9898\\u3002\\n\\n**\\u5efa\\u8bae\\uff1a**\\n1. \\u63a5\\u53d7\\u827a\\u672f\\u5bb6\\u6536\\u5165\\u6ce2\\u52a8\\u7684\\u73b0\\u5b9e\\n2. \\u5efa\\u7acb6-12\\u4e2a\\u6708\\u7684\\\"\\u5b89\\u5168\\u57ab\\\"\\n3. \\u548c\\u827a\\u672f\\u5bb6\\u793e\\u7fa4\\u7684\\u4eba\\u804a\\u804a\\uff08\\u4f60\\u5e76\\u4e0d\\u5b64\\u5355\\uff09\\n4. \\u5fc5\\u8981\\u65f6\\u5bfb\\u6c42\\u5fc3\\u7406\\u54a8\\u8be2\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u6253\\u5f00\\u4e00\\u4e2a\\u8bb0\\u8d26\\u5de5\\u5177**\\uff0c\\u628a\\u8fc7\\u53bb3\\u4e2a\\u6708\\u7684\\u6240\\u6709\\u6536\\u652f\\u8bb0\\u5f55\\u8fdb\\u53bb\\n2. **\\u7b97\\u51fa\\u4f60\\u7684\\\"\\u5b89\\u5168\\u57ab\\\"\\u9700\\u8981\\u591a\\u5c11\\u94b1**\\uff0c\\u5f00\\u59cb\\u5efa\\u7acb\\u5b58\\u6b3e\\u76ee\\u6807\\n3. **\\u8bc4\\u4f30\\u4f60\\u73b0\\u6709\\u7684\\u6536\\u5165\\u7ed3\\u6784**\\uff0c\\u627e\\u51fa1-2\\u4e2a\\u53ef\\u4ee5\\u53d1\\u5c55\\u7684\\u65b0\\u6536\\u5165\\u65b9\\u5411\\n\\n---\\n\\n*\\u4e0b\\u4e00\\u7bc7\\u9884\\u544a\\uff1a\\u300aAI\\u65f6\\u4ee3\\u7684\\u827a\\u672f\\u6559\\u80b2\\uff1a\\u521b\\u4f5c\\u8005\\u5982\\u4f55\\u7528AI\\u81ea\\u6211\\u63d0\\u5347\\u300b*\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/09_\\u827a\\u672f\\u5bb6\\u7684\\u8d22\\u52a1\\u7ba1\\u7406.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.24}",
      "tool_call_id": "call_function_h5oi5ii841ox_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Now let me write the 10th article about n8n automation.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Now let me write the 10th article about n8n automation.",
      "reasoning_details": [
        {
          "signature": "207c2c9bd60ab8ac14d6408eeeff8c30a3a62f20ffcd5500768bdf27d3ce736c",
          "thinking": "Now let me write the 10th article about n8n automation.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_qbnypuvfava2_1",
          "call_id": "call_function_qbnypuvfava2_1",
          "response_item_id": "fc_function_qbnypuvfava2_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# \\u827a\\u672f\\u5bb6\\u4e0en8n\\u5de5\\u4f5c\\u6d41\\u81ea\\u52a8\\u5316\\uff1a\\u4ece\\u96f6\\u5f00\\u59cb\\u6784\\u5efa\\u4f60\\u7684\\u6570\\u5b57\\u4e2d\\u67a2\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u4e3a\\u4ec0\\u4e48\\u827a\\u672f\\u5bb6\\u9700\\u8981n8n\\n\\n\\u4f60\\u6bcf\\u5929\\u82b1\\u591a\\u5c11\\u65f6\\u95f4\\u5728\\u91cd\\u590d\\u6027\\u5de5\\u4f5c\\u4e0a\\uff1f\\n- \\u793e\\u4ea4\\u5a92\\u4f53\\u53d1\\u5e16\\n- \\u56de\\u590d\\u7c7b\\u4f3c\\u7684\\u54a8\\u8be2\\u90ae\\u4ef6\\n- \\u6574\\u7406\\u4f5c\\u54c1\\u56fe\\u7247\\u548c\\u5143\\u6570\\u636e\\n- \\u8ffd\\u8e2a\\u5c55\\u89c8\\u7533\\u8bf7\\u72b6\\u6001\\n- \\u66f4\\u65b0\\u827a\\u672f\\u5bb6\\u7b80\\u5386\\u548c\\u4f5c\\u54c1\\u96c6\\n\\n\\u5982\\u679c\\u4f60\\u6bcf\\u5e74\\u5728\\u8fd9\\u4e9b\\u4e8b\\u60c5\\u4e0a\\u82b1\\u8d85\\u8fc7100\\u5c0f\\u65f6\\uff0cn8n\\u53ef\\u4ee5\\u5e2e\\u4f60\\u628a\\u8fd9\\u4e2a\\u65f6\\u95f4\\u51cf\\u5c1170%\\u3002\\n\\n**n8n\\u662f\\u4ec0\\u4e48\\uff1f** \\u4e00\\u4e2a\\u5f00\\u6e90\\u7684\\u5de5\\u4f5c\\u6d41\\u81ea\\u52a8\\u5316\\u5de5\\u5177\\uff0c\\u53ef\\u4ee5\\u628a\\u4e0d\\u540c\\u7684App\\u548cAPI\\u8fde\\u63a5\\u8d77\\u6765\\uff0c\\u81ea\\u52a8\\u6267\\u884c\\u91cd\\u590d\\u6027\\u4efb\\u52a1\\u3002\\n\\n---\\n\\n## n8n\\u7684\\u6838\\u5fc3\\u6982\\u5ff5\\n\\n### \\u4e09\\u4e2a\\u57fa\\u672c\\u6982\\u5ff5\\n\\n**1. Trigger\\uff08\\u89e6\\u53d1\\u5668\\uff09**\\n\\u5de5\\u4f5c\\u6d41\\u7684\\u5f00\\u59cb\\u3002\\u89e6\\u53d1\\u65b9\\u5f0f\\u5305\\u62ec\\uff1a\\n- \\u5b9a\\u65f6\\uff08\\u6bcf\\u59299\\u70b9\\uff09\\n- \\u4e8b\\u4ef6\\uff08\\u6536\\u5230\\u90ae\\u4ef6\\uff09\\n- Webhook\\uff08\\u67d0\\u4e2aAPI\\u88ab\\u8c03\\u7528\\uff09\\n- \\u624b\\u52a8\\u89e6\\u53d1\\n\\n**2. Node\\uff08\\u8282\\u70b9\\uff09**\\n\\u5de5\\u4f5c\\u6d41\\u4e2d\\u7684\\u6bcf\\u4e2a\\u64cd\\u4f5c\\u6b65\\u9aa4\\u3002\\u8282\\u70b9\\u7c7b\\u578b\\u5305\\u62ec\\uff1a\\n- App\\u8282\\u70b9\\uff08Google Sheets\\u3001Notion\\u3001Email\\u7b49\\uff09\\n- \\u5de5\\u5177\\u8282\\u70b9\\uff08IF\\u5224\\u65ad\\u3001\\u6570\\u636e\\u8f6c\\u6362\\u3001\\u5faa\\u73af\\u7b49\\uff09\\n- AI\\u8282\\u70b9\\uff08\\u8c03\\u7528AI API\\uff09\\n\\n**3. Workflow\\uff08\\u5de5\\u4f5c\\u6d41\\uff09**\\n\\u7531\\u89e6\\u53d1\\u5668 + \\u591a\\u4e2a\\u8282\\u70b9\\u7ec4\\u6210\\u7684\\u5b8c\\u6574\\u81ea\\u52a8\\u5316\\u6d41\\u7a0b\\u3002\\n\\n### n8n\\u7684\\u5de5\\u4f5c\\u65b9\\u5f0f\\n\\n```\\n[\\u89e6\\u53d1] \\u2192 [\\u8282\\u70b91] \\u2192 [\\u8282\\u70b92] \\u2192 [\\u8282\\u70b93] \\u2192 [\\u7ed3\\u679c]\\n```\\n\\n\\u89c6\\u89c9\\u5316\\u754c\\u9762\\uff1a\\u62d6\\u62fd\\u8282\\u70b9\\uff0c\\u8fde\\u63a5\\u5b83\\u4eec\\uff0c\\u914d\\u7f6e\\u53c2\\u6570\\u3002\\u4e0d\\u9700\\u8981\\u5199\\u4ee3\\u7801\\u5c31\\u80fd\\u505a\\u3002\\n\\n---\\n\\n## \\u827a\\u672f\\u5bb6\\u5fc5\\u5907\\u7684n8n\\u5de5\\u4f5c\\u6d41\\n\\n### \\u5de5\\u4f5c\\u6d411\\uff1a\\u793e\\u4ea4\\u5a92\\u4f53\\u81ea\\u52a8\\u53d1\\u5e03\\n\\n**\\u76ee\\u6807\\uff1a** \\u628a\\u4e00\\u6761\\u5185\\u5bb9\\u81ea\\u52a8\\u53d1\\u5e03\\u5230\\u591a\\u4e2a\\u5e73\\u53f0\\uff08Instagram\\u3001\\u5c0f\\u7ea2\\u4e66\\u3001\\u5fae\\u4fe1\\uff09\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[Google Sheets\\u8bb0\\u5f55\\u5185\\u5bb9]\\n    \\u2193\\n[\\u5b9a\\u65f6\\u89e6\\u53d1\\uff1a\\u6bcf\\u5468\\u4e00\\u3001\\u4e09\\u3001\\u4e94 9:00]\\n    \\u2193\\n[\\u8bfb\\u53d6\\u5f53\\u5929\\u9700\\u8981\\u53d1\\u5e03\\u7684\\u5185\\u5bb9]\\n    \\u2193\\n[\\u751f\\u6210\\u5404\\u5e73\\u53f0\\u9002\\u914d\\u7248\\u672c]\\n    \\u2193\\n[\\u751f\\u6210\\u914d\\u56fe\\uff08Midjourney\\uff09]\\n    \\u2193\\n[\\u53d1\\u5e03\\u5230Instagram]\\n    \\u2193\\n[\\u53d1\\u5e03\\u5230\\u5c0f\\u7ea2\\u4e66]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u53d1\\u5e03\\u72b6\\u6001\\u5230\\u8868\\u683c]\\n    \\u2193\\n[\\u53d1\\u9001\\u901a\\u77e5]\\n```\\n\\n**\\u9700\\u8981\\u7528\\u5230\\u7684\\u5de5\\u5177\\uff1a**\\n- n8n\\uff08\\u81ea\\u52a8\\u5316\\u5f15\\u64ce\\uff09\\n- Google Sheets\\uff08\\u5185\\u5bb9\\u7ba1\\u7406\\uff09\\n- Notion\\uff08\\u5185\\u5bb9\\u6570\\u636e\\u5e93\\uff09\\n- Buffer/Hootsuite\\uff08\\u793e\\u4ea4\\u5a92\\u4f53\\u53d1\\u5e03\\uff09\\n- Midjourney API\\uff08\\u56fe\\u7247\\u751f\\u6210\\uff09\\n\\n### \\u5de5\\u4f5c\\u6d412\\uff1a\\u5c55\\u89c8\\u7533\\u8bf7\\u81ea\\u52a8\\u8ffd\\u8e2a\\n\\n**\\u76ee\\u6807\\uff1a** \\u8ffd\\u8e2a\\u6240\\u6709\\u6295\\u9012\\u7684\\u5c55\\u89c8\\u7533\\u8bf7\\uff0c\\u81ea\\u52a8\\u63d0\\u9192\\u8ddf\\u8fdb\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[\\u827a\\u672f\\u5bb6\\u63d0\\u4ea4\\u7533\\u8bf7]\\n    \\u2193\\n[\\u624b\\u52a8/\\u90ae\\u4ef6\\u89e6\\u53d1]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u5230Airtable\\uff1a\\n  - \\u673a\\u6784\\u540d\\u79f0\\n  - \\u7533\\u8bf7\\u65e5\\u671f\\n  - \\u622a\\u6b62\\u65e5\\u671f\\n  - \\u72b6\\u6001\\uff08\\u5f85\\u56de\\u590d/\\u5165\\u56f4/\\u62d2\\u7edd\\uff09\\n]\\n    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\\u65b0\\u4f5c\\u54c1\\u5b8c\\u6210\\u540e\\uff0c\\u81ea\\u52a8\\u66f4\\u65b0\\u6240\\u6709\\u4f5c\\u54c1\\u96c6\\u6e20\\u9053\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[\\u827a\\u672f\\u5bb6\\u4e0a\\u4f20\\u65b0\\u4f5c\\u54c1\\u5230Synology]\\n    \\u2193\\n[\\u6587\\u4ef6\\u5939\\u53d8\\u5316\\u89e6\\u53d1]\\n    \\u2193\\n[AI\\u81ea\\u52a8\\uff1a\\n  - \\u751f\\u6210\\u4f5c\\u54c1\\u63cf\\u8ff0\\u8349\\u7a3f\\uff08Hermes\\uff09\\n  - \\u63d0\\u53d6\\u5143\\u6570\\u636e\\uff08\\u6587\\u4ef6\\u540d\\u3001\\u65e5\\u671f\\u7b49\\uff09\\n  - \\u751f\\u6210\\u793e\\u4ea4\\u5a92\\u4f53\\u6587\\u6848\\n]\\n    \\u2193\\n[\\u53d1\\u9001\\u786e\\u8ba4\\u8bf7\\u6c42\\u7ed9\\u827a\\u672f\\u5bb6]\\n    \\u2193\\n[\\u827a\\u672f\\u5bb6\\u786e\\u8ba4\\u540e\\uff1a\\n  - \\u66f4\\u65b0\\u7f51\\u7ad9\\u4f5c\\u54c1\\u96c6\\n  - \\u66f4\\u65b0Notion\\u6570\\u636e\\u5e93\\n  - \\u53d1\\u5e03\\u793e\\u4ea4\\u5a92\\u4f53\\n]\\n```\\n\\n**\\u9700\\u8981\\u7528\\u5230\\u7684\\u5de5\\u5177\\uff1a**\\n- n8n\\n- Synology Drive\\uff08\\u6587\\u4ef6\\u76d1\\u63a7\\uff09\\n- Hermes\\uff08AI\\u5185\\u5bb9\\u751f\\u6210\\uff09\\n- WordPress/Webflow\\uff08\\u7f51\\u7ad9\\u66f4\\u65b0\\uff09\\n- Notion\\uff08\\u6570\\u636e\\u5e93\\uff09\\n\\n### \\u5de5\\u4f5c\\u6d414\\uff1a\\u85cf\\u5bb6/\\u5ba2\\u6237\\u5173\\u7cfb\\u7ba1\\u7406\\n\\n**\\u76ee\\u6807\\uff1a** \\u8ffd\\u8e2a\\u6240\\u6709\\u6f5c\\u5728\\u5ba2\\u6237\\u548c\\u85cf\\u5bb6\\uff0c\\u81ea\\u52a8\\u8bb0\\u5f55\\u4e92\\u52a8\\u5386\\u53f2\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[\\u65b0\\u90ae\\u4ef6/\\u79c1\\u4fe1\\u8fdb\\u6765]\\n    \\u2193\\n[n8n\\u81ea\\u52a8\\u8bc6\\u522b\\uff1a\\n  - \\u662f\\u6f5c\\u5728\\u85cf\\u5bb6\\uff1f\\n  - \\u662f\\u753b\\u5eca\\u5408\\u4f5c\\u8be2\\u95ee\\uff1f\\n  - \\u662f\\u5a92\\u4f53\\u91c7\\u8bbf\\u8bf7\\u6c42\\uff1f\\n]\\n    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\\u2193\\n[Hermes\\u751f\\u6210\\uff1a\\n  - \\u65b0\\u95fb\\u7a3f\\u521d\\u7a3f\\n  - \\u5a92\\u4f53\\u540d\\u5355\\n  - \\u4e2a\\u6027\\u5316 outreach \\u90ae\\u4ef6\\n]\\n    \\u2193\\n[\\u827a\\u672f\\u5bb6\\u5ba1\\u6838\\u4fee\\u6539]\\n    \\u2193\\n[\\u81ea\\u52a8\\u53d1\\u9001\\u90ae\\u4ef6\\u5230\\u5a92\\u4f53\\u5217\\u8868]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u53d1\\u9001\\u5386\\u53f2\\u548c\\u56de\\u590d]\\n```\\n\\n---\\n\\n## n8n + Hermes\\u7684\\u7ec4\\u5408\\n\\n### \\u4e3a\\u4ec0\\u4e48\\u8fd9\\u4e2a\\u7ec4\\u5408\\u5f88\\u5f3a\\u5927\\n\\n- **n8n** \\u64c5\\u957f\\uff1a\\u81ea\\u52a8\\u5316\\u6d41\\u7a0b\\u3001\\u6570\\u636e\\u5904\\u7406\\u3001\\u7cfb\\u7edf\\u96c6\\u6210\\u3001\\u5b9a\\u65f6\\u4efb\\u52a1\\n- **Hermes** \\u64c5\\u957f\\uff1a\\u5185\\u5bb9\\u751f\\u6210\\u3001\\u5206\\u6790\\u5224\\u65ad\\u3001\\u521b\\u610f\\u5de5\\u4f5c\\u3001\\u8bed\\u8a00\\u5904\\u7406\\n\\n\\u4e24\\u8005\\u7ed3\\u5408 = **\\u81ea\\u52a8\\u5316\\u6267\\u884c + AI\\u667a\\u80fd\\u51b3\\u7b56**\\n\\n### \\u7ec4\\u5408\\u793a\\u4f8b\\uff1a\\u667a\\u80fd\\u90ae\\u4ef6\\u56de\\u590d\\n\\n```\\n[\\u6536\\u5230\\u827a\\u672f\\u5bb6\\u76f8\\u5173\\u90ae\\u4ef6]\\n    \\u2193\\n[Hermes\\u5206\\u6790\\u90ae\\u4ef6\\u5185\\u5bb9\\uff1a\\n  - \\u662f\\u5408\\u4f5c\\u8be2\\u95ee\\uff1f\\u2192 \\u751f\\u6210\\u5408\\u4f5c\\u65b9\\u6848\\u56de\\u590d\\n  - \\u662f\\u91c7\\u8bbf\\u8bf7\\u6c42\\uff1f\\u2192 \\u751f\\u6210\\u91c7\\u8bbf\\u56de\\u590d\\u6a21\\u677f\\n  - \\u662f\\u4f5c\\u54c1\\u54a8\\u8be2\\uff1f\\u2192 \\u751f\\u6210\\u4f5c\\u54c1\\u4fe1\\u606f\\u56de\\u590d\\n  - \\u662f\\u5783\\u573e\\u90ae\\u4ef6\\uff1f\\u2192 \\u6807\\u8bb0\\u5e76\\u5ffd\\u7565\\n]\\n    \\u2193\\n[\\u5982\\u679c\\u662f\\u9700\\u8981\\u56de\\u590d\\u7684\\uff1a\\n  - \\u751f\\u6210\\u56de\\u590d\\u8349\\u7a3f\\n  - \\u53d1\\u9001\\u786e\\u8ba4\\u8bf7\\u6c42\\u7ed9\\u827a\\u672f\\u5bb6\\n  - \\u827a\\u672f\\u5bb6\\u786e\\u8ba4\\u540e\\u53d1\\u9001\\n]\\n```\\n\\n### \\u7ec4\\u5408\\u793a\\u4f8b\\uff1a\\u4f5c\\u54c1\\u96c6\\u667a\\u80fd\\u7ba1\\u7406\\n\\n```\\n[\\u827a\\u672f\\u5bb6\\u4e0a\\u4f20\\u4f5c\\u54c1\\u56fe\\u7247]\\n    \\u2193\\n[Hermes\\u5206\\u6790\\u56fe\\u7247\\uff1a\\n  - \\u8bc6\\u522b\\u4f5c\\u54c1\\u98ce\\u683c/\\u5a92\\u4ecb\\n  - \\u63d0\\u53d6\\u8272\\u5f69\\u7279\\u5f81\\n  - \\u5efa\\u8bae\\u5173\\u952e\\u8bcd\\u6807\\u7b7e\\n]\\n    \\u2193\\n[\\u751f\\u6210\\u4f5c\\u54c1\\u63cf\\u8ff0\\u8349\\u7a3f]\\n    \\u2193\\n[\\u827a\\u672f\\u5bb6\\u786e\\u8ba4\\u5143\\u6570\\u636e]\\n    \\u2193\\n[\\u81ea\\u52a8\\u66f4\\u65b0\\u6240\\u6709\\u6e20\\u9053]\\n```\\n\\n---\\n\\n## n8n\\u7684\\u6280\\u672f\\u57fa\\u7840\\n\\n### \\u81ea\\u6211\\u6258\\u7ba1 vs \\u4e91\\u670d\\u52a1\\n\\n| \\u65b9\\u6848 | \\u4f18\\u70b9 | \\u7f3a\\u70b9 |\\n|------|------|------|\\n| n8n\\u4e91\\u670d\\u52a1 | \\u514d\\u7ef4\\u62a4\\u3001\\u5feb\\u901f\\u4e0a\\u624b | \\u514d\\u8d39\\u989d\\u5ea6\\u6709\\u9650\\u3001\\u6570\\u636e\\u5728\\u7b2c\\u4e09\\u65b9 |\\n| \\u81ea\\u6211\\u6258\\u7ba1\\uff08Synology\\u4e0a\\uff09 | \\u5b8c\\u5168\\u63a7\\u5236\\u3001\\u65e0\\u9650\\u5236 | \\u9700\\u8981\\u6280\\u672f\\u7ef4\\u62a4 |\\n| Railway/Render\\u7b49VPS | \\u6027\\u4ef7\\u6bd4\\u9ad8 | \\u9700\\u8981\\u57fa\\u7840\\u8fd0\\u7ef4 |\\n\\n**\\u63a8\\u8350\\u827a\\u672f\\u5bb6\\uff1a** \\u4ecen8n\\u4e91\\u670d\\u52a1\\u5f00\\u59cb\\uff0c\\u6708\\u8d39$20\\u8d77\\uff0c\\u5f53\\u5de5\\u4f5c\\u6d41\\u6210\\u719f\\u540e\\u8fc1\\u79fb\\u5230Synology\\u81ea\\u6258\\u7ba1\\u3002\\n\\n### Synology\\u4e0a\\u90e8\\u7f72n8n\\n\\n\\u5982\\u679c\\u4f60\\u7684Synology\\u6709Docker\\uff1a\\n\\n```\\n1. \\u5728Synology Docker\\u4e2d\\u641c\\u7d22 n8nio/n8n\\n2. \\u914d\\u7f6e\\u7aef\\u53e3\\uff085678\\uff09\\n3. \\u8bbe\\u7f6e\\u6570\\u636e\\u6301\\u4e45\\u5316\\u8def\\u5f84\\n4. \\u914d\\u7f6e\\u53cd\\u5411\\u4ee3\\u7406\\uff08\\u5982\\u679c\\u6709\\u57df\\u540d\\uff09\\n5. \\u5f00\\u542fHTTPS\\n```\\n\\n### n8n\\u7684\\u57fa\\u672c\\u64cd\\u4f5c\\n\\n**\\u521b\\u5efa\\u7b2c\\u4e00\\u4e2a\\u5de5\\u4f5c\\u6d41\\uff1a**\\n\\n1. \\u6253\\u5f00n8n \\u2192 \\u70b9\\u51fb \\\"New Workflow\\\"\\n2. \\u6dfb\\u52a0\\u89e6\\u53d1\\u5668\\uff08\\u6bd4\\u5982 \\\"Schedule Trigger\\\"\\uff09\\n3. \\u62d6\\u5165\\u7b2c\\u4e00\\u4e2a\\u8282\\u70b9\\uff08\\u6bd4\\u5982 \\\"HTTP Request\\\"\\uff09\\n4. \\u8fde\\u63a5\\u8282\\u70b9\\uff0c\\u914d\\u7f6e\\u53c2\\u6570\\n5. \\u6d4b\\u8bd5\\u8fd0\\u884c\\n6. \\u6253\\u5f00\\u6fc0\\u6d3b\\n\\n---\\n\\n## \\u5177\\u4f53\\u7684n8n + Hermes\\u96c6\\u6210\\n\\n### \\u65b9\\u5f0f1\\uff1aWebhook\\u89e6\\u53d1Hermes\\n\\n```\\nn8n\\u5de5\\u4f5c\\u6d41\\uff1a\\n[Webhook\\u89e6\\u53d1]\\n    \\u2193\\n[\\u51c6\\u5907\\u8981\\u53d1\\u7ed9Hermes\\u7684\\u6570\\u636e]\\n    \\u2193\\n[HTTP Request \\u2192 Hermes API]\\n    \\u2193\\n[\\u5904\\u7406Hermes\\u7684\\u54cd\\u5e94]\\n    \\u2193\\n[\\u6267\\u884c\\u540e\\u7eed\\u64cd\\u4f5c]\\n```\\n\\n**Hermes API\\u8c03\\u7528\\u65b9\\u5f0f\\uff1a**\\n```python\\nimport requests\\n\\ndef call_hermes(prompt, context):\\n    api_key = \\\"\\u4f60\\u7684Hermes API Key\\\"\\n    url = \\\"https://\\u4f60\\u7684Hermes\\u57df\\u540d/v1/messages\\\"\\n    \\n    headers = {\\n        \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n        \\\"Content-Type\\\": \\\"application/json\\\"\\n    }\\n    \\n    payload = {\\n        \\\"model\\\": \\\"anthropic/claude-sonnet-4\\\",\\n        \\\"max_tokens\\\": 1000,\\n        \\\"messages\\\": [\\n            {\\\"role\\\": \\\"user\\\", \\\"content\\\": prompt}\\n        ],\\n        \\\"context\\\": context\\n    }\\n    \\n    response = requests.post(url, headers=headers, json=payload)\\n    return response.json()\\n```\\n\\n### \\u65b9\\u5f0f2\\uff1an8n\\u7684AI\\u8282\\u70b9\\n\\nn8n\\u6709\\u81ea\\u5df1\\u7684AI\\u8282\\u70b9\\uff0c\\u53ef\\u4ee5\\u76f4\\u63a5\\u8c03\\u7528\\uff1a\\n- OpenAI\\n- Anthropic\\n- Cohere\\n- Hugging Face\\n\\n**\\u914d\\u7f6e\\u6b65\\u9aa4\\uff1a**\\n1. \\u5728n8n\\u4e2d\\u6dfb\\u52a0 \\\"AI > Chain > LLM Chain\\\" \\u8282\\u70b9\\n2. \\u9009\\u62e9provider\\uff08OpenAI\\u6216Anthropic\\uff09\\n3. \\u914d\\u7f6eAPI Key\\n4. \\u7f16\\u5199Prompt\\n5. \\u8fde\\u63a5\\u8f93\\u5165\\u6570\\u636e\\n\\n---\\n\\n## \\u827a\\u672f\\u5bb6n8n\\u5de5\\u4f5c\\u6d41\\u8fdb\\u9636\\n\\n### \\u8fdb\\u96361\\uff1a\\u6761\\u4ef6\\u5206\\u652f\\n\\n```\\n[\\u89e6\\u53d1]\\n    \\u2193\\n[AI\\u5206\\u6790\\u5185\\u5bb9]\\n    \\u2193\\n[IF \\u5224\\u65ad\\uff1a\\n  - \\u5982\\u679c\\u662f\\u9ad8\\u4ef7\\u503c\\u673a\\u4f1a \\u2192 \\u6267\\u884cA\\u6d41\\u7a0b\\n  - \\u5982\\u679c\\u662f\\u666e\\u901a\\u54a8\\u8be2 \\u2192 \\u6267\\u884cB\\u6d41\\u7a0b\\n  - \\u5982\\u679c\\u662f\\u5783\\u573e\\u90ae\\u4ef6 \\u2192 \\u6267\\u884cC\\u6d41\\u7a0b\\n]\\n```\\n\\n### \\u8fdb\\u96362\\uff1a\\u5faa\\u73af\\u5904\\u7406\\n\\n```\\n[\\u8bfb\\u53d610\\u5c01\\u5f85\\u56de\\u590d\\u90ae\\u4ef6]\\n    \\u2193\\n[For Each\\u5faa\\u73af\\uff1a\\n  - \\u9010\\u4e2a\\u751f\\u6210\\u56de\\u590d\\u8349\\u7a3f\\n  - \\u53d1\\u9001\\u786e\\u8ba4\\u8bf7\\u6c42\\n  - \\u8bb0\\u5f55\\u56de\\u590d\\u72b6\\u6001\\n]\\n```\\n\\n### \\u8fdb\\u96363\\uff1a\\u5e76\\u884c\\u5904\\u7406\\n\\n```\\n[\\u4e00\\u4e2a\\u89e6\\u53d1]\\n    \\u2193\\n[\\u5e76\\u884c\\u6267\\u884c\\uff1a\\n  - A\\u5206\\u652f\\uff1a\\u53d1\\u90ae\\u4ef6\\u7ed9\\u753b\\u5ecaA\\n  - B\\u5206\\u652f\\uff1a\\u53d1\\u90ae\\u4ef6\\u7ed9\\u753b\\u5ecaB\\n  - C\\u5206\\u652f\\uff1a\\u53d1\\u90ae\\u4ef6\\u7ed9\\u753b\\u5ecaC\\n  - D\\u5206\\u652f\\uff1a\\u66f4\\u65b0\\u6570\\u636e\\u5e93\\n]\\n    \\u2193\\n[\\u6c47\\u603b\\u7ed3\\u679c]\\n```\\n\\n---\\n\\n## \\u5e38\\u89c1\\u95ee\\u9898\\n\\n### Q: n8n\\u5b66\\u4e60\\u66f2\\u7ebf\\u9661\\u5ced\\u5417\\uff1f\\n\\nA: \\u5bf9\\u4e8e\\u975e\\u6280\\u672f\\u80cc\\u666f\\u7684\\u4eba\\uff0c\\u6709\\u4e00\\u5b9a\\u5b66\\u4e60\\u66f2\\u7ebf\\uff0c\\u4f46n8n\\u5df2\\u7ecf\\u662f\\u76ee\\u524d\\u6700\\u6613\\u7528\\u7684\\u81ea\\u52a8\\u5316\\u5de5\\u5177\\u4e4b\\u4e00\\u3002\\u5efa\\u8bae\\u4ece\\u7b80\\u5355\\u7684\\u5de5\\u4f5c\\u6d41\\u5f00\\u59cb\\uff0c\\u6bd4\\u5982\\\"\\u5b9a\\u65f6\\u53d1\\u9001\\u4e00\\u6761\\u6d88\\u606f\\\"\\u3002\\n\\n### Q: \\u514d\\u8d39\\u989d\\u5ea6\\u591f\\u7528\\u5417\\uff1f\\n\\nA: n8n\\u4e91\\u670d\\u52a1\\u514d\\u8d39\\u7248\\u6bcf\\u67081000\\u6b21\\u6267\\u884c\\u3002\\u5bf9\\u4e8e\\u4e2a\\u4eba\\u827a\\u672f\\u5bb6\\uff0c\\u6b63\\u5e38\\u4f7f\\u7528\\u591f\\u4e86\\u3002\\n\\n### Q: \\u9700\\u8981\\u61c2\\u4ee3\\u7801\\u5417\\uff1f\\n\\nA: \\u4e0d\\u9700\\u8981\\u3002n8n\\u7684\\u53ef\\u89c6\\u5316\\u754c\\u9762\\u53ef\\u4ee5\\u5b8c\\u621090%\\u7684\\u4efb\\u52a1\\u3002\\u5269\\u4e0b10%\\u7684\\u9ad8\\u7ea7\\u529f\\u80fd\\u53ef\\u80fd\\u9700\\u8981JavaScript\\uff0c\\u4f46\\u7f51\\u4e0a\\u6709\\u5927\\u91cf\\u73b0\\u6210\\u4ee3\\u7801\\u53ef\\u4ee5\\u590d\\u5236\\u3002\\n\\n### Q: \\u6570\\u636e\\u5b89\\u5168\\u5417\\uff1f\\n\\nA: \\u81ea\\u6258\\u7ba1\\u65b9\\u6848\\u6570\\u636e\\u5b8c\\u5168\\u5728\\u81ea\\u5df1\\u624b\\u91cc\\u3002\\u4e91\\u670d\\u52a1\\u65b9\\u6848\\u6570\\u636e\\u5728n8n\\u670d\\u52a1\\u5668\\uff0c\\u9009\\u62e9\\u53d6\\u51b3\\u4e8e\\u4f60\\u5bf9\\u6570\\u636e\\u9690\\u79c1\\u7684\\u8981\\u6c42\\u3002\\n\\n---\\n\\n## \\u63a8\\u8350\\u7684\\u5b66\\u4e60\\u8d44\\u6e90\\n\\n### \\u5b98\\u65b9\\u8d44\\u6e90\\n- n8n\\u5b98\\u65b9\\u6587\\u6863\\uff1adocs.n8n.io\\n- n8n\\u793e\\u533a\\u6a21\\u677f\\u5e93\\uff1an8n.io/workflows\\n- n8n YouTube\\u9891\\u9053\\n\\n### \\u4e2d\\u6587\\u8d44\\u6e90\\n- Natrix\\uff08n8n\\u4e2d\\u6587\\u793e\\u533a\\uff09\\n- n8n\\u4e2d\\u6587\\u6587\\u6863\\uff08\\u6301\\u7eed\\u66f4\\u65b0\\u4e2d\\uff09\\n\\n### \\u5b66\\u4e60\\u8def\\u5f84\\n1. \\u7b2c1\\u5468\\uff1a\\u6ce8\\u518cn8n\\u4e91\\u670d\\u52a1\\uff0c\\u719f\\u6089\\u754c\\u9762\\n2. \\u7b2c2\\u5468\\uff1a\\u505a\\u4e00\\u4e2a\\u6700\\u7b80\\u5355\\u7684\\\"\\u5b9a\\u65f6\\u53d1\\u901a\\u77e5\\\"\\u5de5\\u4f5c\\u6d41\\n3. \\u7b2c3\\u5468\\uff1a\\u505a\\u4e00\\u4e2a\\\"\\u8bfb\\u53d6RSS/\\u53d1\\u793e\\u4ea4\\u5a92\\u4f53\\\"\\u5de5\\u4f5c\\u6d41\\n4. \\u7b2c4\\u5468\\uff1a\\u96c6\\u6210Hermes\\uff0c\\u505a\\u4e00\\u4e2aAI\\u8f85\\u52a9\\u5de5\\u4f5c\\u6d41\\n5. \\u6301\\u7eed\\uff1a\\u9010\\u6b65\\u589e\\u52a0\\u590d\\u6742\\u5ea6\\n\\n---\\n\\n## n8n\\u5de5\\u4f5c\\u6d41\\u6a21\\u677f\\u5e93\\n\\n\\u4ee5\\u4e0b\\u662f\\u827a\\u672f\\u5bb6\\u53ef\\u80fd\\u4f1a\\u7528\\u5230\\u7684\\u6a21\\u677f\\uff1a\\n\\n### \\u57fa\\u7840\\u6a21\\u677f\\n1. **\\u5b9a\\u65f6\\u793e\\u4ea4\\u5a92\\u4f53\\u53d1\\u5e16**\\uff1a\\u6bcf\\u5929\\u81ea\\u52a8\\u53d1\\u5e16\\n2. **\\u90ae\\u4ef6\\u8fc7\\u6ee4\\u548c\\u5206\\u7c7b**\\uff1a\\u81ea\\u52a8\\u8bc6\\u522b\\u90ae\\u4ef6\\u7c7b\\u578b\\u5e76\\u5206\\u7c7b\\n3. **\\u65e5\\u5386\\u4e8b\\u4ef6\\u540c\\u6b65**\\uff1a\\u540c\\u6b65\\u591a\\u4e2a\\u65e5\\u5386\\n\\n### \\u8fdb\\u9636\\u6a21\\u677f\\n4. **AI\\u8f85\\u52a9\\u5c55\\u89c8\\u7533\\u8bf7**\\uff1a\\u81ea\\u52a8\\u751f\\u6210\\u7533\\u8bf7\\u90ae\\u4ef6\\n5. **\\u4f5c\\u54c1\\u96c6\\u591a\\u5e73\\u53f0\\u540c\\u6b65**\\uff1a\\u65b0\\u4f5c\\u54c1\\u81ea\\u52a8\\u66f4\\u65b0\\u6240\\u6709\\u6e20\\u9053\\n6. **\\u85cf\\u5bb6CRM**\\uff1a\\u81ea\\u52a8\\u8ffd\\u8e2a\\u85cf\\u5bb6\\u4e92\\u52a8\\n\\n### \\u4e13\\u4e1a\\u6a21\\u677f\\n7. **AI\\u65b0\\u95fb\\u7a3f\\u751f\\u6210**\\uff1a\\u65b0\\u5c55\\u89c8\\u81ea\\u52a8\\u751f\\u6210\\u65b0\\u95fb\\u7a3f\\n8. **\\u6570\\u636e\\u6536\\u96c6\\u5206\\u6790**\\uff1a\\u81ea\\u52a8\\u6536\\u96c6\\u7ade\\u4e89\\u5bf9\\u624b\\u6570\\u636e\\n9. **\\u8d22\\u52a1\\u7ba1\\u7406**\\uff1a\\u81ea\\u52a8\\u8ffd\\u8e2a\\u6536\\u652f\\n10. **\\u8ba2\\u9605Newsletter\\u81ea\\u52a8\\u5316**\\uff1a\\u81ea\\u52a8\\u7ba1\\u7406\\u8ba2\\u9605\\u5217\\u8868\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u6ce8\\u518cn8n\\u4e91\\u670d\\u52a1**\\uff08n8n.io\\uff09\\uff0c\\u514d\\u8d39\\u8d26\\u53f7\\u5373\\u53ef\\n2. **\\u505a\\u4e00\\u4e2a\\u6700\\u7b80\\u5355\\u7684\\u6d4b\\u8bd5\\u5de5\\u4f5c\\u6d41**\\uff1a\\u6bcf\\u5929\\u65e9\\u4e0a9\\u70b9\\u7ed9\\u81ea\\u5df1\\u53d1\\u4e00\\u6761Telegram\\u6d88\\u606f\\n3. **\\u60f3\\u4e00\\u4e2a\\u4f60\\u4eca\\u5929\\u82b1\\u65f6\\u95f4\\u6700\\u591a\\u7684\\u91cd\\u590d\\u6027\\u4efb\\u52a1**\\uff0c\\u8fd9\\u662f\\u4f60\\u7b2c\\u4e00\\u4e2a\\u9700\\u8981\\u81ea\\u52a8\\u5316\\u7684\\u5de5\\u4f5c\\u6d41\\n\\n---\\n\\n## \\u603b\\u7ed3\\uff1aAI + \\u81ea\\u52a8\\u5316 = \\u827a\\u672f\\u5bb6\\u7684\\u8d85\\u7ea7\\u52a9\\u624b\\n\\nn8n + Hermes = \\n- **n8n**\\uff1a\\u81ea\\u52a8\\u6267\\u884c\\u91cd\\u590d\\u6027\\u4efb\\u52a1\\uff0c\\u6c38\\u4e0d\\u75b2\\u5026\\n- **Hermes**\\uff1a\\u63d0\\u4f9b\\u667a\\u80fd\\u51b3\\u7b56\\u652f\\u6301\\uff0c\\u6c38\\u4e0d\\u6577\\u884d\\n\\n\\u4e24\\u8005\\u7ed3\\u5408\\uff0c\\u4f60\\u53ef\\u4ee5\\u628a\\uff1a\\n- 70%\\u7684\\u884c\\u653f\\u5de5\\u4f5c\\u4ea4\\u7ed9\\u81ea\\u52a8\\u5316\\n- 20%\\u7684\\u6587\\u6848\\u5de5\\u4f5c\\u4ea4\\u7ed9AI\\n- 10%\\u771f\\u6b63\\u9700\\u8981\\u4f60\\u53c2\\u4e0e\\u7684\\u5de5\\u4f5c\\uff0c\\u7531\\u4f60\\u5b8c\\u6210\\n\\n**\\u4f60\\u7684\\u65f6\\u95f4\\u5e94\\u8be5\\u82b1\\u5728\\u521b\\u4f5c\\u4e0a\\uff0c\\u4e0d\\u662f\\u82b1\\u5728\\u91cd\\u590d\\u6027\\u5de5\\u4f5c\\u4e0a\\u3002**\\n\\n---\\n\\n*\\u7ed3\\u8bed\\uff1a\\u8fd9\\u662f\\u300aHermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6\\u300b\\u7cfb\\u5217\\u63a8\\u9001\\u7684\\u6700\\u540e\\u4e00\\u7bc7\\u3002\\u5e0c\\u671b\\u8fd910\\u7bc7\\u6587\\u7ae0\\u80fd\\u5e2e\\u52a9\\u4f60\\u66f4\\u597d\\u5730\\u7406\\u89e3AI\\u5de5\\u5177\\u5728\\u827a\\u672f\\u521b\\u4f5c\\u548c\\u804c\\u4e1a\\u53d1\\u5c55\\u4e2d\\u7684\\u5e94\\u7528\\u3002\\u8bb0\\u4f4f\\uff1a\\u5de5\\u5177\\u6c38\\u8fdc\\u53ea\\u662f\\u5de5\\u5177\\uff0c\\u771f\\u6b63\\u7684\\u827a\\u672f\\u6765\\u81ea\\u4f60\\u72ec\\u7279\\u7684\\u89c6\\u89d2\\u548c\\u751f\\u547d\\u4f53\\u9a8c\\u3002*\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/10_\\u827a\\u672f\\u5bb6\\u4e0en8n\\u5de5\\u4f5c\\u6d41\\u81ea\\u52a8\\u5316.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}",
      "tool_call_id": "call_function_qbnypuvfava2_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "现在我需要写第二篇关于AI辅助艺术创作的更深入的文章。让我基于之前的上下文，用户的艺术行业背景，以及我们已经建立的MiniMax API集成来写一篇深度文章。",
      "finish_reason": "tool_calls",
      "reasoning_content": "现在我需要写第二篇关于AI辅助艺术创作的更深入的文章。让我基于之前的上下文，用户的艺术行业背景，以及我们已经建立的MiniMax API集成来写一篇深度文章。",
      "reasoning_details": [
        {
          "signature": "807b29158402de157084a8a7725444429f17367f7239b2b5096ae2f7f9701dcc",
          "thinking": "现在我需要写第二篇关于AI辅助艺术创作的更深入的文章。让我基于之前的上下文，用户的艺术行业背景，以及我们已经建立的MiniMax API集成来写一篇深度文章。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_zxzm37hk5lmk_1",
          "call_id": "call_function_zxzm37hk5lmk_1",
          "response_item_id": "fc_function_zxzm37hk5lmk_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# AI\\u8f85\\u52a9\\u827a\\u672f\\u521b\\u4f5c\\u6df1\\u5ea6\\u6307\\u5357\\uff1a\\u4ece\\u7075\\u611f\\u5230\\u6210\\u54c1\\u7684\\u5b8c\\u6574\\u5de5\\u4f5c\\u6d41\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u8fd9\\u4e0d\\u662f\\u4e00\\u7bc7\\u6559\\u4f60\\\"\\u7528AI\\u753b\\u753b\\\"\\u7684\\u6587\\u7ae0\\n\\n\\u7f51\\u4e0a\\u6709\\u5927\\u91cf\\u6559\\u7a0b\\u5728\\u6559\\u4f60\\u600e\\u4e48\\u7528Midjourney\\u3001\\u600e\\u4e48\\u5199Prompt\\u3001\\u600e\\u4e48\\u751f\\u6210\\u4e00\\u5f20\\\"\\u597d\\u770b\\\"\\u7684\\u56fe\\u7247\\u3002\\n\\n\\u4f46\\u4f5c\\u4e3a\\u4e00\\u4e2a\\u8ba4\\u771f\\u7684\\u827a\\u672f\\u5bb6\\uff0c\\u4f60\\u9700\\u8981\\u7684\\u4e0d\\u53ea\\u662f\\u751f\\u6210\\u4e00\\u5f20\\u597d\\u770b\\u7684\\u56fe\\u7247\\u3002\\n\\n**\\u4f60\\u9700\\u8981\\u7684\\u662f\\u4e00\\u5957\\u7cfb\\u7edf\\u7684\\u65b9\\u6cd5\\uff0c\\u8ba9AI\\u6210\\u4e3a\\u4f60\\u521b\\u4f5c\\u8fc7\\u7a0b\\u4e2d\\u7684\\u5f3a\\u5927\\u8f85\\u52a9\\uff0c\\u800c\\u4e0d\\u662f\\u66ff\\u4ee3\\u54c1\\u3002**\\n\\n\\u672c\\u6587\\u4f1a\\u8986\\u76d6\\uff1a\\n1. \\u5982\\u4f55\\u7528AI\\u8fdb\\u884c\\u6982\\u5ff5\\u63a2\\u7d22\\n2. \\u5982\\u4f55\\u7528AI\\u8f85\\u52a9\\u89c6\\u89c9\\u7814\\u7a76\\n3. \\u5982\\u4f55\\u7528AI\\u751f\\u6210\\u4f60\\u771f\\u6b63\\u9700\\u8981\\u7684\\u7d20\\u6750\\n4. \\u5982\\u4f55\\u907f\\u514dAI\\u751f\\u6210\\u7684\\u827a\\u672f\\u54c1\\\"\\u5343\\u4eba\\u4e00\\u9762\\\"\\n5. \\u5982\\u4f55\\u5efa\\u7acb\\u4f60\\u81ea\\u5df1\\u7684AI\\u8f85\\u52a9\\u521b\\u4f5c\\u5de5\\u4f5c\\u6d41\\n\\n---\\n\\n## \\u4e00\\u3001AI\\u5728\\u521b\\u4f5c\\u8fc7\\u7a0b\\u4e2d\\u7684\\u89d2\\u8272\\u5b9a\\u4f4d\\n\\n### 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[\\u5a92\\u4ecb/\\u6750\\u8d28] + [\\u98ce\\u683c] + [\\u6784\\u56fe] + [\\u5149\\u7ebf/\\u8272\\u8c03] + [\\u60c5\\u7eea/\\u6c1b\\u56f4] + [\\u53c2\\u8003] + [\\u6280\\u672f\\u53c2\\u6570]\\n```\\n\\n**\\u793a\\u4f8b\\u5bf9\\u6bd4\\uff1a**\\n\\n\\u274c \\u6a21\\u7cca\\u7684Prompt\\uff1a\\n```\\n\\u4e00\\u53ea\\u9e1f\\u5728\\u98de\\u7fd4\\uff0c\\u62bd\\u8c61\\u98ce\\u683c\\n```\\n\\n\\u2705 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Photoshop\\u96c6\\u6210 | \\u5df2\\u7528Adobe\\u5de5\\u4f5c\\u6d41\\u7684\\u827a\\u672f\\u5bb6 |\\n\\n### 3D\\u751f\\u6210\\n\\n| \\u5de5\\u5177 | \\u64c5\\u957f |\\n|------|------|\\n| Tripo3D | \\u5feb\\u901f3D\\u5efa\\u6a21 |\\n| Meshy | 2D\\u56fe\\u8f6c3D\\u6a21\\u578b |\\n| Spline | \\u5728\\u7ebf3D\\u8bbe\\u8ba1 |\\n| Blender + AI\\u63d2\\u4ef6 | \\u4e13\\u4e1a3D\\u5de5\\u4f5c\\u6d41 |\\n\\n### \\u89c6\\u9891\\u751f\\u6210\\n\\n| \\u5de5\\u5177 | \\u64c5\\u957f |\\n|------|------|\\n| Runway | \\u827a\\u672f\\u77ed\\u7247\\u3001\\u98ce\\u683c\\u5316 |\\n| Pika | \\u52a8\\u753b |\\n| Kling | \\u4e2d\\u6587\\u573a\\u666f |\\n\\n### AI\\u8f85\\u52a9\\u7f16\\u7a0b\\n\\n| \\u5de5\\u5177 | \\u64c5\\u957f |\\n|------|------|\\n| TouchDesigner + AI | \\u5b9e\\u65f6\\u751f\\u6210\\u89c6\\u89c9 |\\n| Processing + GPT | \\u521b\\u610f\\u7f16\\u7a0b |\\n| TouchDesigner + CLIP | \\u89c6\\u89c9\\u54cd\\u5e94\\u7cfb\\u7edf |\\n\\n---\\n\\n## 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[\\u4efb\\u52a11]\\n2. [\\u4efb\\u52a12]\\n3. [\\u4efb\\u52a13]\\n\\n\\u8bf7\\u4e3a\\u6211\\u8bbe\\u8ba1\\uff1a\\n1. \\u6700\\u4f18\\u7684\\u5de5\\u5177\\u7ec4\\u5408\\n2. \\u6bcf\\u4e2a\\u5de5\\u5177\\u7684\\u4f7f\\u7528\\u573a\\u666f\\n3. \\u5de5\\u5177\\u4e4b\\u95f4\\u5982\\u4f55\\u914d\\u5408\\n4. \\u4e00\\u4e2a\\u4ece\\u4eca\\u5929\\u5f00\\u59cb\\u7684\\u6e10\\u8fdb\\u5f0f\\u5b66\\u4e60\\u8ba1\\u5212\\n```\\n\\n### \\u6b65\\u9aa43\\uff1a\\u5efa\\u7acb\\u4f60\\u7684Prompt\\u5e93\\n\\n\\u5efa\\u7acb\\u4e00\\u4e2a\\u4f60\\u81ea\\u5df1\\u7684Prompt\\u7b14\\u8bb0\\u672c\\uff1a\\n\\n```\\n\\u6211\\u7684\\u827a\\u672f\\u6838\\u5fc3\\u5173\\u6ce8\\u70b9\\uff1a\\n[\\u4f60\\u7684\\u72ec\\u7279\\u89c6\\u89d2]\\n\\n\\u6211\\u7684\\u89c6\\u89c9\\u5173\\u952e\\u8bcd\\uff1a\\n[\\u4f60\\u7684\\u89c6\\u89c9\\u8bed\\u8a00]\\n\\n\\u6211\\u7684\\u8272\\u5f69\\u504f\\u597d\\uff1a\\n[\\u4f60\\u7684\\u8272\\u5f69\\u4f53\\u7cfb]\\n\\n\\u6211\\u7684\\u6784\\u56fe\\u4e60\\u60ef\\uff1a\\n[\\u4f60\\u7684\\u6784\\u56fe\\u7279\\u70b9]\\n\\n\\u6211\\u5e38\\u7528\\u7684Prompt\\u6a21\\u677f\\uff1a\\n[\\u4f60\\u7684\\u4e2a\\u4eba\\u6a21\\u677f]\\n\\n\\u6211\\u7684\\u5426\\u5b9aPrompt\\uff08\\u6211\\u4e0d\\u60f3\\u8981\\u4ec0\\u4e48\\uff09\\uff1a\\n[\\u4f60\\u7684\\u9ed1\\u540d\\u5355]\\n```\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u9009\\u62e9\\u4e00\\u4e2a\\u4f60\\u6b63\\u5728\\u505a\\u7684\\u521b\\u4f5c\\u9879\\u76ee**\\uff0c\\u7528AI\\u8fdb\\u884c\\u4e00\\u6b21\\u5b8c\\u6574\\u7684\\u6982\\u5ff5\\u63a2\\u7d22\\n2. **\\u8bb0\\u5f55\\u4f60\\u7684Prompt\\u548cAI\\u8f93\\u51fa**\\uff0c\\u5efa\\u7acb\\u4f60\\u81ea\\u5df1\\u7684Prompt\\u5e93\\n3. **\\u8bc4\\u4f30AI\\u5728\\u4f60\\u7684\\u521b\\u4f5c\\u4e2d\\u5e94\\u8be5\\u626e\\u6f14\\u7684\\u89d2\\u8272**\\uff0c\\u660e\\u786e\\u4f60\\u7684\\u8fb9\\u754c\\n\\n---\\n\\n## \\u5de5\\u5177\\u6e05\\u5355\\n\\n- **Midjourney / DALL-E / Stable Diffusion**\\uff1aAI\\u56fe\\u50cf\\u751f\\u6210\\n- **Hermes**\\uff1a\\u6982\\u5ff5\\u63a2\\u7d22\\u3001Prompt\\u4f18\\u5316\\u3001\\u4f5c\\u54c1\\u63cf\\u8ff0\\n- **TouchDesigner**\\uff1a\\u5b9e\\u65f6\\u89c6\\u89c9\\u751f\\u6210\\n- **Processing**\\uff1a\\u521b\\u610f\\u7f16\\u7a0b\\n- **Photoshop / Procreate**\\uff1a\\u6570\\u5b57\\u7ed8\\u753b\\u548c\\u540e\\u671f\\u5904\\u7406\\n- **Blender**\\uff1a3D\\u5efa\\u6a21\\u548c\\u52a8\\u753b\\n\\n---\\n\\n*\\u672c\\u6587\\u662f\\u300aHermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6\\u300b\\u7cfb\\u5217\\u7684\\u6838\\u5fc3\\u5e72\\u8d27\\u6587\\u7ae0\\uff0c\\u6db5\\u76d6\\u4e86AI\\u8f85\\u52a9\\u827a\\u672f\\u521b\\u4f5c\\u7684\\u6838\\u5fc3\\u7406\\u5ff5\\u548c\\u5b9e\\u6218\\u65b9\\u6cd5\\u3002*\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/02b_AI\\u8f85\\u52a9\\u827a\\u672f\\u521b\\u4f5c\\u6df1\\u5ea6\\u6307\\u5357.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.24}",
      "tool_call_id": "call_function_zxzm37hk5lmk_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "现在让我创建n8n工作流设计文章，并确认所有文件都已保存到Synology。",
      "finish_reason": "tool_calls",
      "reasoning_content": "现在让我创建n8n工作流设计文章，并确认所有文件都已保存到Synology。",
      "reasoning_details": [
        {
          "signature": "9f2f4f38a080522b2f4a2e05d4f0290fc2cd20fa708225746e7dc5459001ad5b",
          "thinking": "现在让我创建n8n工作流设计文章，并确认所有文件都已保存到Synology。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_vtauj5uxkb09_1",
          "call_id": "call_function_vtauj5uxkb09_1",
          "response_item_id": "fc_function_vtauj5uxkb09_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# n8n\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a\\u827a\\u672f\\u5bb6\\u7684\\u81ea\\u52a8\\u5316\\u5b9e\\u8df5\\u6307\\u5357\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u4e3a\\u4ec0\\u4e48\\u827a\\u672f\\u5bb6\\u9700\\u8981n8n\\n\\n\\u4f60\\u6bcf\\u5929\\u82b1\\u591a\\u5c11\\u65f6\\u95f4\\u5728\\u91cd\\u590d\\u6027\\u5de5\\u4f5c\\u4e0a\\uff1f\\n- \\u793e\\u4ea4\\u5a92\\u4f53\\u53d1\\u5e16\\n- \\u56de\\u590d\\u7c7b\\u4f3c\\u7684\\u54a8\\u8be2\\u90ae\\u4ef6\\n- \\u6574\\u7406\\u4f5c\\u54c1\\u56fe\\u7247\\u548c\\u5143\\u6570\\u636e\\n- \\u8ffd\\u8e2a\\u5c55\\u89c8\\u7533\\u8bf7\\u72b6\\u6001\\n- \\u66f4\\u65b0\\u827a\\u672f\\u5bb6\\u7b80\\u5386\\u548c\\u4f5c\\u54c1\\u96c6\\n\\n\\u5982\\u679c\\u4f60\\u6bcf\\u5e74\\u5728\\u8fd9\\u4e9b\\u4e8b\\u60c5\\u4e0a\\u82b1\\u8d85\\u8fc7100\\u5c0f\\u65f6\\uff0cn8n\\u53ef\\u4ee5\\u5e2e\\u4f60\\u628a\\u8fd9\\u4e2a\\u65f6\\u95f4\\u51cf\\u5c1170%\\u3002\\n\\n**n8n\\u662f\\u4ec0\\u4e48\\uff1f** \\u4e00\\u4e2a\\u5f00\\u6e90\\u7684\\u5de5\\u4f5c\\u6d41\\u81ea\\u52a8\\u5316\\u5de5\\u5177\\uff0c\\u53ef\\u4ee5\\u628a\\u4e0d\\u540c\\u7684App\\u548cAPI\\u8fde\\u63a5\\u8d77\\u6765\\uff0c\\u81ea\\u52a8\\u6267\\u884c\\u91cd\\u590d\\u6027\\u4efb\\u52a1\\u3002\\n\\n---\\n\\n## n8n\\u7684\\u6838\\u5fc3\\u6982\\u5ff5\\n\\n### \\u4e09\\u4e2a\\u57fa\\u672c\\u6982\\u5ff5\\n\\n**1. Trigger\\uff08\\u89e6\\u53d1\\u5668\\uff09**\\n\\u5de5\\u4f5c\\u6d41\\u7684\\u5f00\\u59cb\\u3002\\u89e6\\u53d1\\u65b9\\u5f0f\\u5305\\u62ec\\uff1a\\n- \\u5b9a\\u65f6\\uff08\\u6bcf\\u59299\\u70b9\\uff09\\n- \\u4e8b\\u4ef6\\uff08\\u6536\\u5230\\u90ae\\u4ef6\\uff09\\n- Webhook\\uff08\\u67d0\\u4e2aAPI\\u88ab\\u8c03\\u7528\\uff09\\n- \\u624b\\u52a8\\u89e6\\u53d1\\n\\n**2. Node\\uff08\\u8282\\u70b9\\uff09**\\n\\u5de5\\u4f5c\\u6d41\\u4e2d\\u7684\\u6bcf\\u4e2a\\u64cd\\u4f5c\\u6b65\\u9aa4\\u3002\\u8282\\u70b9\\u7c7b\\u578b\\u5305\\u62ec\\uff1a\\n- App\\u8282\\u70b9\\uff08Google Sheets\\u3001Notion\\u3001Email\\u7b49\\uff09\\n- \\u5de5\\u5177\\u8282\\u70b9\\uff08IF\\u5224\\u65ad\\u3001\\u6570\\u636e\\u8f6c\\u6362\\u3001\\u5faa\\u73af\\u7b49\\uff09\\n- AI\\u8282\\u70b9\\uff08\\u8c03\\u7528AI API\\uff09\\n\\n**3. Workflow\\uff08\\u5de5\\u4f5c\\u6d41\\uff09**\\n\\u7531\\u89e6\\u53d1\\u5668 + \\u591a\\u4e2a\\u8282\\u70b9\\u7ec4\\u6210\\u7684\\u5b8c\\u6574\\u81ea\\u52a8\\u5316\\u6d41\\u7a0b\\u3002\\n\\n### n8n\\u7684\\u5de5\\u4f5c\\u65b9\\u5f0f\\n\\n```\\n[\\u89e6\\u53d1] \\u2192 [\\u8282\\u70b91] \\u2192 [\\u8282\\u70b92] \\u2192 [\\u8282\\u70b93] \\u2192 [\\u7ed3\\u679c]\\n```\\n\\n\\u89c6\\u89c9\\u5316\\u754c\\u9762\\uff1a\\u62d6\\u62fd\\u8282\\u70b9\\uff0c\\u8fde\\u63a5\\u5b83\\u4eec\\uff0c\\u914d\\u7f6e\\u53c2\\u6570\\u3002\\u4e0d\\u9700\\u8981\\u5199\\u4ee3\\u7801\\u5c31\\u80fd\\u505a\\u3002\\n\\n---\\n\\n## \\u827a\\u672f\\u5bb6\\u5fc5\\u5907\\u7684n8n\\u5de5\\u4f5c\\u6d41\\n\\n### \\u5de5\\u4f5c\\u6d411\\uff1a\\u793e\\u4ea4\\u5a92\\u4f53\\u81ea\\u52a8\\u53d1\\u5e03\\n\\n**\\u76ee\\u6807\\uff1a** \\u628a\\u4e00\\u6761\\u5185\\u5bb9\\u81ea\\u52a8\\u53d1\\u5e03\\u5230\\u591a\\u4e2a\\u5e73\\u53f0\\uff08Instagram\\u3001\\u5c0f\\u7ea2\\u4e66\\u3001\\u5fae\\u4fe1\\uff09\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[Google Sheets\\u8bb0\\u5f55\\u5185\\u5bb9]\\n    \\u2193\\n[\\u5b9a\\u65f6\\u89e6\\u53d1\\uff1a\\u6bcf\\u5468\\u4e00\\u3001\\u4e09\\u3001\\u4e94 9:00]\\n    \\u2193\\n[\\u8bfb\\u53d6\\u5f53\\u5929\\u9700\\u8981\\u53d1\\u5e03\\u7684\\u5185\\u5bb9]\\n    \\u2193\\n[\\u751f\\u6210\\u5404\\u5e73\\u53f0\\u9002\\u914d\\u7248\\u672c]\\n    \\u2193\\n[\\u751f\\u6210\\u914d\\u56fe\\uff08Midjourney\\uff09]\\n    \\u2193\\n[\\u53d1\\u5e03\\u5230Instagram]\\n    \\u2193\\n[\\u53d1\\u5e03\\u5230\\u5c0f\\u7ea2\\u4e66]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u53d1\\u5e03\\u72b6\\u6001\\u5230\\u8868\\u683c]\\n    \\u2193\\n[\\u53d1\\u9001\\u901a\\u77e5]\\n```\\n\\n**\\u9700\\u8981\\u7528\\u5230\\u7684\\u5de5\\u5177\\uff1a**\\n- n8n\\uff08\\u81ea\\u52a8\\u5316\\u5f15\\u64ce\\uff09\\n- Google Sheets\\uff08\\u5185\\u5bb9\\u7ba1\\u7406\\uff09\\n- Notion\\uff08\\u5185\\u5bb9\\u6570\\u636e\\u5e93\\uff09\\n- Buffer/Hootsuite\\uff08\\u793e\\u4ea4\\u5a92\\u4f53\\u53d1\\u5e03\\uff09\\n- Midjourney API\\uff08\\u56fe\\u7247\\u751f\\u6210\\uff09\\n\\n### \\u5de5\\u4f5c\\u6d412\\uff1a\\u5c55\\u89c8\\u7533\\u8bf7\\u81ea\\u52a8\\u8ffd\\u8e2a\\n\\n**\\u76ee\\u6807\\uff1a** \\u8ffd\\u8e2a\\u6240\\u6709\\u6295\\u9012\\u7684\\u5c55\\u89c8\\u7533\\u8bf7\\uff0c\\u81ea\\u52a8\\u63d0\\u9192\\u8ddf\\u8fdb\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[\\u827a\\u672f\\u5bb6\\u63d0\\u4ea4\\u7533\\u8bf7]\\n    \\u2193\\n[\\u624b\\u52a8/\\u90ae\\u4ef6\\u89e6\\u53d1]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u5230Airtable\\uff1a\\n  - \\u673a\\u6784\\u540d\\u79f0\\n  - \\u7533\\u8bf7\\u65e5\\u671f\\n  - \\u622a\\u6b62\\u65e5\\u671f\\n  - \\u72b6\\u6001\\uff08\\u5f85\\u56de\\u590d/\\u5165\\u56f4/\\u62d2\\u7edd\\uff09\\n]\\n    \\u2193\\n[\\u6bcf\\u5468\\u68c0\\u67e5\\uff1a\\n  - \\u54ea\\u4e9b\\u7533\\u8bf7\\u8d85\\u8fc74\\u5468\\u6ca1\\u56de\\u590d\\uff1f\\u2192 \\u53d1\\u9001\\u8ddf\\u8fdb\\u63d0\\u9192\\n  - \\u54ea\\u4e9b\\u7533\\u8bf7\\u5373\\u5c06\\u622a\\u6b62\\uff1f\\u2192 \\u63d0\\u524d7\\u5929\\u63d0\\u9192\\n  - \\u54ea\\u4e9b\\u7533\\u8bf7\\u72b6\\u6001\\u66f4\\u65b0\\uff1f\\u2192 \\u8bb0\\u5f55\\u5e76\\u901a\\u77e5\\n]\\n```\\n\\n**\\u9700\\u8981\\u7528\\u5230\\u7684\\u5de5\\u5177\\uff1a**\\n- n8n\\n- Airtable\\uff08\\u7533\\u8bf7\\u6570\\u636e\\u5e93\\uff09\\n- Email\\uff08\\u81ea\\u52a8\\u53d1\\u9001\\u8ddf\\u8fdb\\u90ae\\u4ef6\\uff09\\n- Telegram/\\u5fae\\u4fe1\\uff08\\u901a\\u77e5\\u63d0\\u9192\\uff09\\n\\n### \\u5de5\\u4f5c\\u6d413\\uff1a\\u4f5c\\u54c1\\u96c6\\u81ea\\u52a8\\u66f4\\u65b0\\n\\n**\\u76ee\\u6807\\uff1a** \\u65b0\\u4f5c\\u54c1\\u5b8c\\u6210\\u540e\\uff0c\\u81ea\\u52a8\\u66f4\\u65b0\\u6240\\u6709\\u4f5c\\u54c1\\u96c6\\u6e20\\u9053\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[\\u827a\\u672f\\u5bb6\\u4e0a\\u4f20\\u65b0\\u4f5c\\u54c1\\u5230Synology]\\n    \\u2193\\n[\\u6587\\u4ef6\\u5939\\u53d8\\u5316\\u89e6\\u53d1]\\n    \\u2193\\n[AI\\u81ea\\u52a8\\uff1a\\n  - \\u751f\\u6210\\u4f5c\\u54c1\\u63cf\\u8ff0\\u8349\\u7a3f\\uff08Hermes\\uff09\\n  - \\u63d0\\u53d6\\u5143\\u6570\\u636e\\uff08\\u6587\\u4ef6\\u540d\\u3001\\u65e5\\u671f\\u7b49\\uff09\\n  - \\u751f\\u6210\\u793e\\u4ea4\\u5a92\\u4f53\\u6587\\u6848\\n]\\n    \\u2193\\n[\\u53d1\\u9001\\u786e\\u8ba4\\u8bf7\\u6c42\\u7ed9\\u827a\\u672f\\u5bb6]\\n    \\u2193\\n[\\u827a\\u672f\\u5bb6\\u786e\\u8ba4\\u540e\\uff1a\\n  - \\u66f4\\u65b0\\u7f51\\u7ad9\\u4f5c\\u54c1\\u96c6\\n  - \\u66f4\\u65b0Notion\\u6570\\u636e\\u5e93\\n  - \\u53d1\\u5e03\\u793e\\u4ea4\\u5a92\\u4f53\\n]\\n```\\n\\n**\\u9700\\u8981\\u7528\\u5230\\u7684\\u5de5\\u5177\\uff1a**\\n- n8n\\n- Synology Drive\\uff08\\u6587\\u4ef6\\u76d1\\u63a7\\uff09\\n- Hermes\\uff08AI\\u5185\\u5bb9\\u751f\\u6210\\uff09\\n- WordPress/Webflow\\uff08\\u7f51\\u7ad9\\u66f4\\u65b0\\uff09\\n- Notion\\uff08\\u6570\\u636e\\u5e93\\uff09\\n\\n### \\u5de5\\u4f5c\\u6d414\\uff1a\\u85cf\\u5bb6/\\u5ba2\\u6237\\u5173\\u7cfb\\u7ba1\\u7406\\n\\n**\\u76ee\\u6807\\uff1a** \\u8ffd\\u8e2a\\u6240\\u6709\\u6f5c\\u5728\\u5ba2\\u6237\\u548c\\u85cf\\u5bb6\\uff0c\\u81ea\\u52a8\\u8bb0\\u5f55\\u4e92\\u52a8\\u5386\\u53f2\\n\\n**\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff1a**\\n```\\n[\\u65b0\\u90ae\\u4ef6/\\u79c1\\u4fe1\\u8fdb\\u6765]\\n    \\u2193\\n[n8n\\u81ea\\u52a8\\u8bc6\\u522b\\uff1a\\n  - \\u662f\\u6f5c\\u5728\\u85cf\\u5bb6\\uff1f\\n  - \\u662f\\u753b\\u5eca\\u5408\\u4f5c\\u8be2\\u95ee\\uff1f\\n  - \\u662f\\u5a92\\u4f53\\u91c7\\u8bbf\\u8bf7\\u6c42\\uff1f\\n]\\n    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\\u2193\\n[Hermes\\u751f\\u6210\\uff1a\\n  - \\u65b0\\u95fb\\u7a3f\\u521d\\u7a3f\\n  - \\u5a92\\u4f53\\u540d\\u5355\\n  - \\u4e2a\\u6027\\u5316 outreach \\u90ae\\u4ef6\\n]\\n    \\u2193\\n[\\u827a\\u672f\\u5bb6\\u5ba1\\u6838\\u4fee\\u6539]\\n    \\u2193\\n[\\u81ea\\u52a8\\u53d1\\u9001\\u90ae\\u4ef6\\u5230\\u5a92\\u4f53\\u5217\\u8868]\\n    \\u2193\\n[\\u8bb0\\u5f55\\u53d1\\u9001\\u5386\\u53f2\\u548c\\u56de\\u590d]\\n```\\n\\n---\\n\\n## n8n + Hermes\\u7684\\u7ec4\\u5408\\n\\n### \\u4e3a\\u4ec0\\u4e48\\u8fd9\\u4e2a\\u7ec4\\u5408\\u5f88\\u5f3a\\u5927\\n\\n- **n8n** \\u64c5\\u957f\\uff1a\\u81ea\\u52a8\\u5316\\u6d41\\u7a0b\\u3001\\u6570\\u636e\\u5904\\u7406\\u3001\\u7cfb\\u7edf\\u96c6\\u6210\\u3001\\u5b9a\\u65f6\\u4efb\\u52a1\\n- **Hermes** \\u64c5\\u957f\\uff1a\\u5185\\u5bb9\\u751f\\u6210\\u3001\\u5206\\u6790\\u5224\\u65ad\\u3001\\u521b\\u610f\\u5de5\\u4f5c\\u3001\\u8bed\\u8a00\\u5904\\u7406\\n\\n\\u4e24\\u8005\\u7ed3\\u5408 = **\\u81ea\\u52a8\\u5316\\u6267\\u884c + AI\\u667a\\u80fd\\u51b3\\u7b56**\\n\\n### \\u7ec4\\u5408\\u793a\\u4f8b\\uff1a\\u667a\\u80fd\\u90ae\\u4ef6\\u56de\\u590d\\n\\n```\\n[\\u6536\\u5230\\u827a\\u672f\\u5bb6\\u76f8\\u5173\\u90ae\\u4ef6]\\n    \\u2193\\n[Hermes\\u5206\\u6790\\u90ae\\u4ef6\\u5185\\u5bb9\\uff1a\\n  - \\u662f\\u5408\\u4f5c\\u8be2\\u95ee\\uff1f\\u2192 \\u751f\\u6210\\u5408\\u4f5c\\u65b9\\u6848\\u56de\\u590d\\n  - \\u662f\\u91c7\\u8bbf\\u8bf7\\u6c42\\uff1f\\u2192 \\u751f\\u6210\\u91c7\\u8bbf\\u56de\\u590d\\u6a21\\u677f\\n  - \\u662f\\u4f5c\\u54c1\\u54a8\\u8be2\\uff1f\\u2192 \\u751f\\u6210\\u4f5c\\u54c1\\u4fe1\\u606f\\u56de\\u590d\\n  - \\u662f\\u5783\\u573e\\u90ae\\u4ef6\\uff1f\\u2192 \\u6807\\u8bb0\\u5e76\\u5ffd\\u7565\\n]\\n    \\u2193\\n[\\u5982\\u679c\\u662f\\u9700\\u8981\\u56de\\u590d\\u7684\\uff1a\\n  - \\u751f\\u6210\\u56de\\u590d\\u8349\\u7a3f\\n  - \\u53d1\\u9001\\u786e\\u8ba4\\u8bf7\\u6c42\\u7ed9\\u827a\\u672f\\u5bb6\\n  - \\u827a\\u672f\\u5bb6\\u786e\\u8ba4\\u540e\\u53d1\\u9001\\n]\\n```\\n\\n### 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\\u514d\\u8d39\\u989d\\u5ea6\\u6709\\u9650\\u3001\\u6570\\u636e\\u5728\\u7b2c\\u4e09\\u65b9 |\\n| \\u81ea\\u6211\\u6258\\u7ba1\\uff08Synology\\u4e0a\\uff09 | \\u5b8c\\u5168\\u63a7\\u5236\\u3001\\u65e0\\u9650\\u5236 | \\u9700\\u8981\\u6280\\u672f\\u7ef4\\u62a4 |\\n| Railway/Render\\u7b49VPS | \\u6027\\u4ef7\\u6bd4\\u9ad8 | \\u9700\\u8981\\u57fa\\u7840\\u8fd0\\u7ef4 |\\n\\n**\\u63a8\\u8350\\u827a\\u672f\\u5bb6\\uff1a** \\u4ecen8n\\u4e91\\u670d\\u52a1\\u5f00\\u59cb\\uff0c\\u6708\\u8d39$20\\u8d77\\uff0c\\u5f53\\u5de5\\u4f5c\\u6d41\\u6210\\u719f\\u540e\\u8fc1\\u79fb\\u5230Synology\\u81ea\\u6258\\u7ba1\\u3002\\n\\n### Synology\\u4e0a\\u90e8\\u7f72n8n\\n\\n\\u5982\\u679c\\u4f60\\u7684Synology\\u6709Docker\\uff1a\\n\\n```\\n1. \\u5728Synology Docker\\u4e2d\\u641c\\u7d22 n8nio/n8n\\n2. \\u914d\\u7f6e\\u7aef\\u53e3\\uff085678\\uff09\\n3. \\u8bbe\\u7f6e\\u6570\\u636e\\u6301\\u4e45\\u5316\\u8def\\u5f84\\n4. \\u914d\\u7f6e\\u53cd\\u5411\\u4ee3\\u7406\\uff08\\u5982\\u679c\\u6709\\u57df\\u540d\\uff09\\n5. \\u5f00\\u542fHTTPS\\n```\\n\\n### n8n\\u7684\\u57fa\\u672c\\u64cd\\u4f5c\\n\\n**\\u521b\\u5efa\\u7b2c\\u4e00\\u4e2a\\u5de5\\u4f5c\\u6d41\\uff1a**\\n\\n1. \\u6253\\u5f00n8n \\u2192 \\u70b9\\u51fb \\\"New Workflow\\\"\\n2. \\u6dfb\\u52a0\\u89e6\\u53d1\\u5668\\uff08\\u6bd4\\u5982 \\\"Schedule Trigger\\\"\\uff09\\n3. \\u62d6\\u5165\\u7b2c\\u4e00\\u4e2a\\u8282\\u70b9\\uff08\\u6bd4\\u5982 \\\"HTTP Request\\\"\\uff09\\n4. \\u8fde\\u63a5\\u8282\\u70b9\\uff0c\\u914d\\u7f6e\\u53c2\\u6570\\n5. \\u6d4b\\u8bd5\\u8fd0\\u884c\\n6. \\u6253\\u5f00\\u6fc0\\u6d3b\\n\\n---\\n\\n## \\u5177\\u4f53\\u7684n8n + Hermes\\u96c6\\u6210\\n\\n### \\u65b9\\u5f0f1\\uff1aWebhook\\u89e6\\u53d1Hermes\\n\\n```\\nn8n\\u5de5\\u4f5c\\u6d41\\uff1a\\n[Webhook\\u89e6\\u53d1]\\n    \\u2193\\n[\\u51c6\\u5907\\u8981\\u53d1\\u7ed9Hermes\\u7684\\u6570\\u636e]\\n    \\u2193\\n[HTTP Request \\u2192 Hermes API]\\n    \\u2193\\n[\\u5904\\u7406Hermes\\u7684\\u54cd\\u5e94]\\n    \\u2193\\n[\\u6267\\u884c\\u540e\\u7eed\\u64cd\\u4f5c]\\n```\\n\\n**Hermes API\\u8c03\\u7528\\u65b9\\u5f0f\\uff1a**\\n```python\\nimport requests\\n\\ndef call_hermes(prompt, context):\\n    api_key = \\\"\\u4f60\\u7684Hermes API Key\\\"\\n    url = \\\"https://\\u4f60\\u7684Hermes\\u57df\\u540d/v1/messages\\\"\\n    \\n    headers = {\\n        \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n        \\\"Content-Type\\\": \\\"application/json\\\"\\n    }\\n    \\n    payload = {\\n        \\\"model\\\": \\\"anthropic/claude-sonnet-4\\\",\\n        \\\"max_tokens\\\": 1000,\\n        \\\"messages\\\": [\\n            {\\\"role\\\": \\\"user\\\", \\\"content\\\": prompt}\\n        ],\\n        \\\"context\\\": context\\n    }\\n    \\n    response = requests.post(url, headers=headers, json=payload)\\n    return response.json()\\n```\\n\\n### \\u65b9\\u5f0f2\\uff1an8n\\u7684AI\\u8282\\u70b9\\n\\nn8n\\u6709\\u81ea\\u5df1\\u7684AI\\u8282\\u70b9\\uff0c\\u53ef\\u4ee5\\u76f4\\u63a5\\u8c03\\u7528\\uff1a\\n- OpenAI\\n- Anthropic\\n- Cohere\\n- Hugging Face\\n\\n**\\u914d\\u7f6e\\u6b65\\u9aa4\\uff1a**\\n1. \\u5728n8n\\u4e2d\\u6dfb\\u52a0 \\\"AI > Chain > LLM Chain\\\" \\u8282\\u70b9\\n2. \\u9009\\u62e9provider\\uff08OpenAI\\u6216Anthropic\\uff09\\n3. \\u914d\\u7f6eAPI Key\\n4. \\u7f16\\u5199Prompt\\n5. \\u8fde\\u63a5\\u8f93\\u5165\\u6570\\u636e\\n\\n---\\n\\n## \\u827a\\u672f\\u5bb6n8n\\u5de5\\u4f5c\\u6d41\\u8fdb\\u9636\\n\\n### \\u8fdb\\u96361\\uff1a\\u6761\\u4ef6\\u5206\\u652f\\n\\n```\\n[\\u89e6\\u53d1]\\n    \\u2193\\n[AI\\u5206\\u6790\\u5185\\u5bb9]\\n    \\u2193\\n[IF \\u5224\\u65ad\\uff1a\\n  - \\u5982\\u679c\\u662f\\u9ad8\\u4ef7\\u503c\\u673a\\u4f1a \\u2192 \\u6267\\u884cA\\u6d41\\u7a0b\\n  - \\u5982\\u679c\\u662f\\u666e\\u901a\\u54a8\\u8be2 \\u2192 \\u6267\\u884cB\\u6d41\\u7a0b\\n  - \\u5982\\u679c\\u662f\\u5783\\u573e\\u90ae\\u4ef6 \\u2192 \\u6267\\u884cC\\u6d41\\u7a0b\\n]\\n```\\n\\n### \\u8fdb\\u96362\\uff1a\\u5faa\\u73af\\u5904\\u7406\\n\\n```\\n[\\u8bfb\\u53d610\\u5c01\\u5f85\\u56de\\u590d\\u90ae\\u4ef6]\\n    \\u2193\\n[For Each\\u5faa\\u73af\\uff1a\\n  - \\u9010\\u4e2a\\u751f\\u6210\\u56de\\u590d\\u8349\\u7a3f\\n  - \\u53d1\\u9001\\u786e\\u8ba4\\u8bf7\\u6c42\\n  - \\u8bb0\\u5f55\\u56de\\u590d\\u72b6\\u6001\\n]\\n```\\n\\n### \\u8fdb\\u96363\\uff1a\\u5e76\\u884c\\u5904\\u7406\\n\\n```\\n[\\u4e00\\u4e2a\\u89e6\\u53d1]\\n    \\u2193\\n[\\u5e76\\u884c\\u6267\\u884c\\uff1a\\n  - A\\u5206\\u652f\\uff1a\\u53d1\\u90ae\\u4ef6\\u7ed9\\u753b\\u5ecaA\\n  - B\\u5206\\u652f\\uff1a\\u53d1\\u90ae\\u4ef6\\u7ed9\\u753b\\u5ecaB\\n  - C\\u5206\\u652f\\uff1a\\u53d1\\u90ae\\u4ef6\\u7ed9\\u753b\\u5ecaC\\n  - D\\u5206\\u652f\\uff1a\\u66f4\\u65b0\\u6570\\u636e\\u5e93\\n]\\n    \\u2193\\n[\\u6c47\\u603b\\u7ed3\\u679c]\\n```\\n\\n---\\n\\n## \\u5e38\\u89c1\\u95ee\\u9898\\n\\n### Q: n8n\\u5b66\\u4e60\\u66f2\\u7ebf\\u9661\\u5ced\\u5417\\uff1f\\n\\nA: \\u5bf9\\u4e8e\\u975e\\u6280\\u672f\\u80cc\\u666f\\u7684\\u4eba\\uff0c\\u6709\\u4e00\\u5b9a\\u5b66\\u4e60\\u66f2\\u7ebf\\uff0c\\u4f46n8n\\u5df2\\u7ecf\\u662f\\u76ee\\u524d\\u6700\\u6613\\u7528\\u7684\\u81ea\\u52a8\\u5316\\u5de5\\u5177\\u4e4b\\u4e00\\u3002\\u5efa\\u8bae\\u4ece\\u7b80\\u5355\\u7684\\u5de5\\u4f5c\\u6d41\\u5f00\\u59cb\\uff0c\\u6bd4\\u5982\\\"\\u5b9a\\u65f6\\u53d1\\u4e00\\u6761\\u6d88\\u606f\\\"\\u3002\\n\\n### Q: \\u514d\\u8d39\\u989d\\u5ea6\\u591f\\u7528\\u5417\\uff1f\\n\\nA: n8n\\u4e91\\u670d\\u52a1\\u514d\\u8d39\\u7248\\u6bcf\\u67081000\\u6b21\\u6267\\u884c\\u3002\\u5bf9\\u4e8e\\u4e2a\\u4eba\\u827a\\u672f\\u5bb6\\uff0c\\u6b63\\u5e38\\u4f7f\\u7528\\u591f\\u4e86\\u3002\\n\\n### Q: \\u9700\\u8981\\u61c2\\u4ee3\\u7801\\u5417\\uff1f\\n\\nA: \\u4e0d\\u9700\\u8981\\u3002n8n\\u7684\\u53ef\\u89c6\\u5316\\u754c\\u9762\\u53ef\\u4ee5\\u5b8c\\u621090%\\u7684\\u4efb\\u52a1\\u3002\\u5269\\u4e0b10%\\u7684\\u9ad8\\u7ea7\\u529f\\u80fd\\u53ef\\u80fd\\u9700\\u8981JavaScript\\uff0c\\u4f46\\u7f51\\u4e0a\\u6709\\u5927\\u91cf\\u73b0\\u6210\\u4ee3\\u7801\\u53ef\\u4ee5\\u590d\\u5236\\u3002\\n\\n### Q: \\u6570\\u636e\\u5b89\\u5168\\u5417\\uff1f\\n\\nA: \\u81ea\\u6258\\u7ba1\\u65b9\\u6848\\u6570\\u636e\\u5b8c\\u5168\\u5728\\u81ea\\u5df1\\u624b\\u91cc\\u3002\\u4e91\\u670d\\u52a1\\u65b9\\u6848\\u6570\\u636e\\u5728n8n\\u670d\\u52a1\\u5668\\uff0c\\u9009\\u62e9\\u53d6\\u51b3\\u4e8e\\u4f60\\u5bf9\\u6570\\u636e\\u9690\\u79c1\\u7684\\u8981\\u6c42\\u3002\\n\\n---\\n\\n## \\u63a8\\u8350\\u7684\\u5b66\\u4e60\\u8d44\\u6e90\\n\\n### \\u5b98\\u65b9\\u8d44\\u6e90\\n- n8n\\u5b98\\u65b9\\u6587\\u6863\\uff1adocs.n8n.io\\n- n8n\\u793e\\u533a\\u6a21\\u677f\\u5e93\\uff1an8n.io/workflows\\n- n8n YouTube\\u9891\\u9053\\n\\n### \\u4e2d\\u6587\\u8d44\\u6e90\\n- Natrix\\uff08n8n\\u4e2d\\u6587\\u793e\\u533a\\uff09\\n- n8n\\u4e2d\\u6587\\u6587\\u6863\\uff08\\u6301\\u7eed\\u66f4\\u65b0\\u4e2d\\uff09\\n\\n### \\u5b66\\u4e60\\u8def\\u5f84\\n1. \\u7b2c1\\u5468\\uff1a\\u6ce8\\u518cn8n\\u4e91\\u670d\\u52a1\\uff0c\\u719f\\u6089\\u754c\\u9762\\n2. \\u7b2c2\\u5468\\uff1a\\u505a\\u4e00\\u4e2a\\u6700\\u7b80\\u5355\\u7684\\\"\\u5b9a\\u65f6\\u53d1\\u901a\\u77e5\\\"\\u5de5\\u4f5c\\u6d41\\n3. \\u7b2c3\\u5468\\uff1a\\u505a\\u4e00\\u4e2a\\\"\\u8bfb\\u53d6RSS/\\u53d1\\u793e\\u4ea4\\u5a92\\u4f53\\\"\\u5de5\\u4f5c\\u6d41\\n4. \\u7b2c4\\u5468\\uff1a\\u96c6\\u6210Hermes\\uff0c\\u505a\\u4e00\\u4e2aAI\\u8f85\\u52a9\\u5de5\\u4f5c\\u6d41\\n5. \\u6301\\u7eed\\uff1a\\u9010\\u6b65\\u589e\\u52a0\\u590d\\u6742\\u5ea6\\n\\n---\\n\\n## n8n\\u5de5\\u4f5c\\u6d41\\u6a21\\u677f\\u5e93\\n\\n\\u4ee5\\u4e0b\\u662f\\u827a\\u672f\\u5bb6\\u53ef\\u80fd\\u4f1a\\u7528\\u5230\\u7684\\u6a21\\u677f\\uff1a\\n\\n### \\u57fa\\u7840\\u6a21\\u677f\\n1. **\\u5b9a\\u65f6\\u793e\\u4ea4\\u5a92\\u4f53\\u53d1\\u5e16**\\uff1a\\u6bcf\\u5929\\u81ea\\u52a8\\u53d1\\u5e16\\n2. **\\u90ae\\u4ef6\\u8fc7\\u6ee4\\u548c\\u5206\\u7c7b**\\uff1a\\u81ea\\u52a8\\u8bc6\\u522b\\u90ae\\u4ef6\\u7c7b\\u578b\\u5e76\\u5206\\u7c7b\\n3. **\\u65e5\\u5386\\u4e8b\\u4ef6\\u540c\\u6b65**\\uff1a\\u540c\\u6b65\\u591a\\u4e2a\\u65e5\\u5386\\n\\n### \\u8fdb\\u9636\\u6a21\\u677f\\n4. **AI\\u8f85\\u52a9\\u5c55\\u89c8\\u7533\\u8bf7**\\uff1a\\u81ea\\u52a8\\u751f\\u6210\\u7533\\u8bf7\\u90ae\\u4ef6\\n5. **\\u4f5c\\u54c1\\u96c6\\u591a\\u5e73\\u53f0\\u540c\\u6b65**\\uff1a\\u65b0\\u4f5c\\u54c1\\u81ea\\u52a8\\u66f4\\u65b0\\u6240\\u6709\\u6e20\\u9053\\n6. **\\u85cf\\u5bb6CRM**\\uff1a\\u81ea\\u52a8\\u8ffd\\u8e2a\\u85cf\\u5bb6\\u4e92\\u52a8\\n\\n### \\u4e13\\u4e1a\\u6a21\\u677f\\n7. **AI\\u65b0\\u95fb\\u7a3f\\u751f\\u6210**\\uff1a\\u65b0\\u5c55\\u89c8\\u81ea\\u52a8\\u751f\\u6210\\u65b0\\u95fb\\u7a3f\\n8. **\\u6570\\u636e\\u6536\\u96c6\\u5206\\u6790**\\uff1a\\u81ea\\u52a8\\u6536\\u96c6\\u7ade\\u4e89\\u5bf9\\u624b\\u6570\\u636e\\n9. **\\u8d22\\u52a1\\u7ba1\\u7406**\\uff1a\\u81ea\\u52a8\\u8ffd\\u8e2a\\u6536\\u652f\\n10. **\\u8ba2\\u9605Newsletter\\u81ea\\u52a8\\u5316**\\uff1a\\u81ea\\u52a8\\u7ba1\\u7406\\u8ba2\\u9605\\u5217\\u8868\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u6ce8\\u518cn8n\\u4e91\\u670d\\u52a1**\\uff08n8n.io\\uff09\\uff0c\\u514d\\u8d39\\u8d26\\u53f7\\u5373\\u53ef\\n2. **\\u505a\\u4e00\\u4e2a\\u6700\\u7b80\\u5355\\u7684\\u6d4b\\u8bd5\\u5de5\\u4f5c\\u6d41**\\uff1a\\u6bcf\\u5929\\u65e9\\u4e0a9\\u70b9\\u7ed9\\u81ea\\u5df1\\u53d1\\u4e00\\u6761Telegram\\u6d88\\u606f\\n3. **\\u60f3\\u4e00\\u4e2a\\u4f60\\u4eca\\u5929\\u82b1\\u65f6\\u95f4\\u6700\\u591a\\u7684\\u91cd\\u590d\\u6027\\u4efb\\u52a1**\\uff0c\\u8fd9\\u662f\\u4f60\\u7b2c\\u4e00\\u4e2a\\u9700\\u8981\\u81ea\\u52a8\\u5316\\u7684\\u5de5\\u4f5c\\u6d41\\n\\n---\\n\\n## \\u603b\\u7ed3\\uff1aAI + \\u81ea\\u52a8\\u5316 = \\u827a\\u672f\\u5bb6\\u7684\\u8d85\\u7ea7\\u52a9\\u624b\\n\\nn8n + Hermes = \\n- **n8n**\\uff1a\\u81ea\\u52a8\\u6267\\u884c\\u91cd\\u590d\\u6027\\u4efb\\u52a1\\uff0c\\u6c38\\u4e0d\\u75b2\\u5026\\n- **Hermes**\\uff1a\\u63d0\\u4f9b\\u667a\\u80fd\\u51b3\\u7b56\\u652f\\u6301\\uff0c\\u6c38\\u4e0d\\u6577\\u884d\\n\\n\\u4e24\\u8005\\u7ed3\\u5408\\uff0c\\u4f60\\u53ef\\u4ee5\\u628a\\uff1a\\n- 70%\\u7684\\u884c\\u653f\\u5de5\\u4f5c\\u4ea4\\u7ed9\\u81ea\\u52a8\\u5316\\n- 20%\\u7684\\u6587\\u6848\\u5de5\\u4f5c\\u4ea4\\u7ed9AI\\n- 10%\\u771f\\u6b63\\u9700\\u8981\\u4f60\\u53c2\\u4e0e\\u7684\\u5de5\\u4f5c\\uff0c\\u7531\\u4f60\\u5b8c\\u6210\\n\\n**\\u4f60\\u7684\\u65f6\\u95f4\\u5e94\\u8be5\\u82b1\\u5728\\u521b\\u4f5c\\u4e0a\\uff0c\\u4e0d\\u662f\\u82b1\\u5728\\u91cd\\u590d\\u6027\\u5de5\\u4f5c\\u4e0a\\u3002**\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/11_n8n\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1_\\u827a\\u672f\\u5bb6\\u7684\\u81ea\\u52a8\\u5316\\u5b9e\\u8df5\\u6307\\u5357.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.23}",
      "tool_call_id": "call_function_vtauj5uxkb09_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Now let me verify all files were created and update the todo list.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Now let me verify all files were created and update the todo list.",
      "reasoning_details": [
        {
          "signature": "32f8d88f75b5319e613f47cb275bde1e4cc437c0b2a40c803b5e6e59c9e6df0f",
          "thinking": "Now let me verify all files were created and update the todo list.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_cuj992qcoglq_1",
          "call_id": "call_function_cuj992qcoglq_1",
          "response_item_id": "fc_function_cuj992qcoglq_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\nimport os\\n\\narticles_dir = \\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6\\\"\\nfiles = sorted(os.listdir(articles_dir))\\n\\nprint(f\\\"\\u5171 {len(files)} \\u4e2a\\u6587\\u4ef6\\uff1a\\\\n\\\")\\nfor f in files:\\n    path = os.path.join(articles_dir, f)\\n    size = os.path.getsize(path)\\n    print(f\\\"  {f}  ({size:,} bytes)\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"共 12 个文件：\\n\\n  01_艺术家个人品牌建设指南.md  (4,782 bytes)\\n  02_展览投递的科学与艺术.md  (7,869 bytes)\\n  02b_AI辅助艺术创作深度指南.md  (16,198 bytes)\\n  03_AI时代艺术家的技能重构.md  (8,123 bytes)\\n  04_计算机艺术革命_AI生成艺术的现状与未来.md  (9,030 bytes)\\n  05_策展人的新工具_如何用AI分析和呈现艺术.md  (7,745 bytes)\\n  06_画廊和艺术机构的AI转型.md  (7,340 bytes)\\n  07_音乐人与AI创作_Suno_Udio与新一代音乐人的生存之道.md  (10,666 bytes)\\n  08_视频与表演艺术_AI时代的影像创作新范式.md  (8,817 bytes)\\n  09_艺术家的财务管理.md  (9,763 bytes)\\n  10_艺术家与n8n工作流自动化.md  (11,011 bytes)\\n  11_n8n工作流设计_艺术家的自动化实践指南.md  (10,716 bytes)\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.24}",
      "tool_call_id": "call_function_cuj992qcoglq_1"
    },
    {
      "role": "assistant",
      "content": "10和11有重叠，把第11篇换成更有差异化的主题：",
      "reasoning": "The 11th file (n8n workflow design) is redundant with 10. Let me check if they're different enough - yes, 10 is the specific Hermes+n8n integration guide while 11 is a broader practical guide. Actually 10 and 11 are quite overlapping. Let me replace 11 with a better article about Synology NAS for artists.\n\nActually wait - looking at the files again:\n- 10 is \"艺术家与n8n工作流自动化\" \n- 11 is \"n8n工作流设计_艺术家的自动化实践指南\"\n\nThese are indeed overlapping. \n\nNow I'll swap out article 11 for something about digital asset management with Synology since that's more directly relevant to the artist's toolkit than another n8n workflow guide.",
      "finish_reason": "tool_calls",
      "reasoning_content": "The 11th file (n8n workflow design) is redundant with 10. Let me check if they're different enough - yes, 10 is the specific Hermes+n8n integration guide while 11 is a broader practical guide. Actually 10 and 11 are quite overlapping. Let me replace 11 with a better article about Synology NAS for artists.\n\nActually wait - looking at the files again:\n- 10 is \"艺术家与n8n工作流自动化\" \n- 11 is \"n8n工作流设计_艺术家的自动化实践指南\"\n\nThese are indeed overlapping. \n\nNow I'll swap out article 11 for something about digital asset management with Synology since that's more directly relevant to the artist's toolkit than another n8n workflow guide.",
      "reasoning_details": [
        {
          "signature": "684cd6096ddd9007ff145d4b3836bc5c27392435d5a39718089c885acfc78f5f",
          "thinking": "The 11th file (n8n workflow design) is redundant with 10. Let me check if they're different enough - yes, 10 is the specific Hermes+n8n integration guide while 11 is a broader practical guide. Actually 10 and 11 are quite overlapping. Let me replace 11 with a better article about Synology NAS for artists.\n\nActually wait - looking at the files again:\n- 10 is \"艺术家与n8n工作流自动化\" \n- 11 is \"n8n工作流设计_艺术家的自动化实践指南\"\n\nThese are indeed overlapping. \n\nNow I'll swap out article 11 for something about digital asset management with Synology since that's more directly relevant to the artist's toolkit than another n8n workflow guide.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_my8xg8vfq3jp_1",
          "call_id": "call_function_my8xg8vfq3jp_1",
          "response_item_id": "fc_function_my8xg8vfq3jp_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\ncontent = \\\"\\\"\\\"# \\u827a\\u672f\\u5bb6\\u7684\\u6570\\u5b57\\u8d44\\u4ea7\\u7ba1\\u7406\\uff1aSynology NAS + AI\\u7684\\u5168\\u6d41\\u7a0b\\u6307\\u5357\\n\\n\\u53d1\\u5e03\\u65f6\\u95f4\\uff1a2026\\u5e74\\n\\u4f5c\\u8005\\uff1a\\u827a\\u672f\\u4e0e\\u6280\\u672f\\u5b9e\\u9a8c\\u5ba4\\n\\n---\\n\\n## \\u827a\\u672f\\u5bb6\\u6700\\u5927\\u7684\\u6570\\u5b57\\u8d44\\u4ea7\\u662f\\u4ec0\\u4e48\\n\\n\\u4e0d\\u662f\\u4f60\\u7684\\u7535\\u8111\\uff0c\\u4e0d\\u662f\\u4f60\\u7684\\u624b\\u673a\\uff0c\\u800c\\u662f\\u4f60\\u7684\\u4f5c\\u54c1\\u6570\\u636e\\u3002\\n\\n\\u4e00\\u5e45\\u9ad8\\u6e05\\u6570\\u5b57\\u7ed8\\u753b\\u53ef\\u80fd\\u6709500MB\\uff0c\\u4e00\\u4e2a\\u89c6\\u9891\\u9879\\u76ee\\u53ef\\u80fd\\u6709\\u6570\\u767eGB\\u300210\\u5e74\\u540e\\uff0c\\u4f60\\u7684\\u7535\\u8111\\u4f1a\\u62a5\\u5e9f\\uff0c\\u4f46\\u8fd9\\u4e9b\\u6570\\u636e\\u5fc5\\u987b\\u8fd8\\u5728\\u3002\\n\\n**\\u6570\\u5b57\\u8d44\\u4ea7\\u7ba1\\u7406\\uff08Digital Asset Management, DAM\\uff09\\u5bf9\\u827a\\u672f\\u5bb6\\u6765\\u8bf4\\u4e0d\\u662f\\u53ef\\u9009\\u9879\\uff0c\\u800c\\u662f\\u5fc5\\u987b\\u9879\\u3002**\\n\\n\\u8fd9\\u7bc7\\u6587\\u7ae0\\u544a\\u8bc9\\u4f60\\uff1a\\u5982\\u4f55\\u7528Synology NAS\\u5efa\\u7acb\\u4e13\\u4e1a\\u7684\\u6570\\u5b57\\u8d44\\u4ea7\\u7ba1\\u7406\\u65b9\\u6848\\uff0c\\u4ee5\\u53ca\\u5982\\u4f55\\u7528AI\\u5de5\\u5177\\u8ba9\\u8fd9\\u4e2a\\u7cfb\\u7edf\\u771f\\u6b63\\u8fd0\\u8f6c\\u8d77\\u6765\\u3002\\n\\n---\\n\\n## \\u4e00\\u3001\\u4e3a\\u4ec0\\u4e48\\u827a\\u672f\\u5bb6\\u9700\\u8981NAS\\u800c\\u4e0d\\u662f\\u4e91\\u76d8\\n\\n### \\u5e38\\u89c1\\u5b58\\u50a8\\u65b9\\u6848\\u5bf9\\u6bd4\\n\\n| \\u65b9\\u6848 | \\u4f18\\u70b9 | \\u7f3a\\u70b9 | \\u9002\\u5408\\u4eba\\u7fa4 |\\n|------|------|------|----------|\\n| \\u767e\\u5ea6\\u7f51\\u76d8/\\u963f\\u91cc\\u4e91\\u76d8 | \\u514d\\u8d39\\u3001\\u65b9\\u4fbf | \\u9690\\u79c1\\u98ce\\u9669\\u3001\\u901f\\u5ea6\\u6162\\u3001\\u4e0d\\u9002\\u5408\\u5927\\u6587\\u4ef6 | \\u666e\\u901a\\u7528\\u6237 |\\n| iCloud/Google Photos | \\u81ea\\u52a8\\u5907\\u4efd\\u3001\\u540c\\u6b65\\u65b9\\u4fbf | \\u6708\\u8d39\\u3001\\u9690\\u79c1\\u987e\\u8651 | \\u666e\\u901a\\u521b\\u4f5c\\u8005 |\\n| \\u79fb\\u52a8\\u786c\\u76d8 | \\u4fbf\\u5b9c\\u3001\\u5927\\u5bb9\\u91cf | \\u5bb9\\u6613\\u4e22\\u3001\\u65e0\\u6cd5\\u534f\\u540c\\u3001\\u5bff\\u547d\\u6709\\u9650 | \\u4e34\\u65f6\\u5b58\\u50a8 |\\n| NAS\\uff08\\u7f51\\u7edc\\u5b58\\u50a8\\uff09 | \\u5b8c\\u5168\\u63a7\\u5236\\u3001\\u5b89\\u5168\\u3001\\u53ef\\u534f\\u540c | \\u524d\\u671f\\u6295\\u5165\\u3001\\u9700\\u8981\\u7ef4\\u62a4 | \\u4e13\\u4e1a\\u521b\\u4f5c\\u8005 |\\n\\n### NAS\\u5bf9\\u827a\\u672f\\u5bb6\\u7684\\u4ef7\\u503c\\n\\n**1. \\u5b8c\\u5168\\u7684\\u9690\\u79c1\\u63a7\\u5236**\\n\\u4f60\\u7684\\u4f5c\\u54c1\\u6570\\u636e\\u4e0d\\u4f1a\\u5728\\u4efb\\u4f55\\u7b2c\\u4e09\\u65b9\\u670d\\u52a1\\u5668\\u4e0a\\u3002NAS\\u653e\\u5728\\u4f60\\u5bb6/\\u5de5\\u4f5c\\u5ba4\\uff0c\\u53ea\\u6709\\u4f60\\u80fd\\u8bbf\\u95ee\\u3002\\n\\n**2. \\u8d85\\u5927\\u5b58\\u50a8\\u7a7a\\u95f4**\\n\\u76ee\\u524dSynology\\u4e3b\\u6d41\\u673a\\u578b\\u652f\\u630136TB\\u4ee5\\u4e0a\\uff0c\\u8f7b\\u677e\\u6ee1\\u8db3\\u4efb\\u4f55\\u827a\\u672f\\u5bb6\\u7684\\u5b58\\u50a8\\u9700\\u6c42\\u3002\\n\\n**3. \\u591a\\u8bbe\\u5907\\u540c\\u6b65**\\n\\u53f0\\u5f0f\\u673a\\u3001\\u7b14\\u8bb0\\u672c\\u3001\\u5e73\\u677f\\u3001\\u624b\\u673a\\u540c\\u65f6\\u8bbf\\u95ee\\u540c\\u4e00\\u4e2a\\u7d20\\u6750\\u5e93\\u3002\\u4e0d\\u540c\\u8bbe\\u5907\\u6253\\u5f00\\u7684\\u662f\\u540c\\u4e00\\u4efd\\u6587\\u4ef6\\u3002\\n\\n**4. \\u81ea\\u52a8\\u5907\\u4efd**\\n\\u8bbe\\u7f6e\\u597d\\u5907\\u4efd\\u89c4\\u5219\\u540e\\uff0c\\u7cfb\\u7edf\\u81ea\\u52a8\\u628a\\u91cd\\u8981\\u6587\\u4ef6\\u5907\\u4efd\\u5230\\u7b2c\\u4e8c\\u4e2a\\u786c\\u76d8\\uff08RAID\\u6216\\u53e6\\u4e00\\u53f0NAS\\uff09\\u3002\\n\\n**5. \\u8fdc\\u7a0b\\u8bbf\\u95ee**\\n\\u5728\\u5916\\u9762\\u7528\\u624b\\u673a\\u4e5f\\u80fd\\u8bbf\\u95ee\\u5de5\\u4f5c\\u5ba4\\u7684\\u6587\\u4ef6\\uff0c\\u67e5\\u770b\\u4f5c\\u54c1\\u9ad8\\u6e05\\u56fe\\u3002\\n\\n---\\n\\n## \\u4e8c\\u3001Synology DSM\\u7684\\u6838\\u5fc3\\u529f\\u80fd\\n\\n### \\u7fa4\\u6656\\u7cfb\\u7edf\\u7684\\u57fa\\u672c\\u6982\\u5ff5\\n\\nSynology\\u4f7f\\u7528\\u7684\\u64cd\\u4f5c\\u7cfb\\u7edf\\u53ebDSM\\uff08DiskStation Manager\\uff09\\u3002\\u5b83\\u672c\\u8d28\\u4e0a\\u662f\\u4e00\\u53f0\\u63a5\\u5165\\u7f51\\u7edc\\u7684\\\"\\u6587\\u4ef6\\u670d\\u52a1\\u5668\\\"\\uff0c\\u4f46\\u754c\\u9762\\u50cf\\u7535\\u8111\\u4e00\\u6837\\u6613\\u7528\\u3002\\n\\n### \\u827a\\u672f\\u5bb6\\u6700\\u5e38\\u7528\\u7684\\u529f\\u80fd\\n\\n**1. Synology Drive\\uff08\\u6587\\u4ef6\\u540c\\u6b65\\uff09**\\n\\u7c7b\\u4f3cDropbox\\u7684\\u540c\\u6b65\\u529f\\u80fd\\uff0c\\u4f46\\u5b58\\u50a8\\u7a7a\\u95f4\\u5b8c\\u5168\\u7531\\u4f60\\u63a7\\u5236\\u3002\\n\\n```\\n\\u8bbe\\u7f6e\\u6b65\\u9aa4\\uff1a\\n1. \\u5728NAS\\u4e0a\\u5b89\\u88c5Synology Drive Server\\n2. \\u5728\\u6bcf\\u53f0\\u8bbe\\u5907\\u4e0a\\u5b89\\u88c5Synology Drive\\u5ba2\\u6237\\u7aef\\n3. \\u8bbe\\u7f6e\\u540c\\u6b65\\u6587\\u4ef6\\u5939\\uff08\\u5efa\\u8bae\\uff1a/\\u827a\\u672f\\u4f5c\\u54c1/\\u3001/\\u7d20\\u6750\\u5e93/\\u3001/\\u9879\\u76ee\\u6587\\u4ef6/\\uff09\\n4. \\u9009\\u62e9\\u540c\\u6b65\\u6a21\\u5f0f\\uff1a\\n   - \\u540c\\u6b65\\uff08\\u6240\\u6709\\u8bbe\\u5907\\u4fdd\\u6301\\u4e00\\u81f4\\uff09\\n   - \\u5907\\u4efd\\uff08\\u7535\\u8111 \\u2192 NAS\\u5355\\u5411\\uff09\\n```\\n\\n**2. 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\\u53ef\\u4ee5\\u7528\\u7a0d\\u5fae\\u4f4e\\u4e00\\u6863\\u7684\\u578b\\u53f7 |\\n| \\u4e0d\\u63a8\\u8350 | WD Blue / Seagate Barracuda | \\u684c\\u9762\\u76d8\\u4e0d\\u9002\\u54087x24\\u8fd0\\u884c |\\n\\n---\\n\\n## \\u5341\\u3001\\u603b\\u7ed3\\n\\n```\\nNAS\\u662f\\u827a\\u672f\\u5bb6\\u7684\\u6570\\u5b57\\u4fdd\\u9669\\u7bb1\\n\\nSynology = \\u597d\\u7528\\u7684NAS\\u7cfb\\u7edf\\nAI = \\u8ba9\\u4fdd\\u9669\\u7bb1\\u66f4\\u667a\\u80fd\\nn8n = \\u8ba9\\u6240\\u6709\\u6d41\\u7a0b\\u81ea\\u52a8\\u5316\\n\\n\\u8fd9\\u5957\\u7cfb\\u7edf\\u7684\\u4ef7\\u503c\\uff1a\\n- \\u4f60\\u7684\\u4f5c\\u54c1\\u6570\\u636e\\u6c38\\u8fdc\\u4e0d\\u4f1a\\u4e22\\u5931\\n- \\u968f\\u65f6\\u968f\\u5730\\u8bbf\\u95ee\\u4f60\\u7684\\u7d20\\u6750\\u5e93\\n- \\u91cd\\u590d\\u6027\\u5de5\\u4f5c\\u4ea4\\u7ed9\\u81ea\\u52a8\\u5316\\n- \\u4e13\\u6ce8\\u4e8e\\u521b\\u4f5c\\u672c\\u8eab\\n```\\n\\n---\\n\\n## \\u4e0b\\u4e00\\u6b65\\u884c\\u52a8\\n\\n\\u4eca\\u5929\\u5c31\\u505a\\u8fd9\\u4e09\\u4ef6\\u4e8b\\uff1a\\n\\n1. **\\u8bc4\\u4f30\\u4f60\\u76ee\\u524d\\u7684\\u5b58\\u50a8\\u65b9\\u6848**\\uff1a\\u4f60\\u73b0\\u5728\\u662f\\u600e\\u4e48\\u5b58\\u50a8\\u4f5c\\u54c1\\u6570\\u636e\\u7684\\uff1f\\u6709\\u54ea\\u4e9b\\u98ce\\u9669\\uff1f\\n2. **\\u9009\\u62e9\\u4f60\\u7684NAS\\u65b9\\u6848**\\uff1a\\u9884\\u7b97\\u8303\\u56f4\\u5185\\u9009\\u6700\\u5408\\u9002\\u7684\\uff0c\\u73b0\\u5728\\u786c\\u76d8\\u4fbf\\u5b9c\\uff0c\\u4e00\\u6b65\\u5230\\u4f4d\\n3. **\\u8bbe\\u8ba1\\u4f60\\u7684\\u6587\\u4ef6\\u547d\\u540d\\u89c4\\u8303**\\uff1a\\u548cNAS\\u4e00\\u6837\\u91cd\\u8981\\u7684\\uff0c\\u662f\\u4e00\\u5957\\u6240\\u6709\\u4eba\\u90fd\\u9075\\u5b88\\u7684\\u547d\\u540d\\u89c4\\u5219\\n\\n---\\n\\n## \\u5de5\\u5177\\u6e05\\u5355\\n\\n- **Synology NAS**\\uff1a\\u79c1\\u6709\\u4e91\\u5b58\\u50a8\\n- **Synology Drive**\\uff1a\\u6587\\u4ef6\\u540c\\u6b65\\n- **Synology Photos**\\uff1a\\u7167\\u7247\\u7ba1\\u7406\\n- **Active Backup for Business**\\uff1a\\u6574\\u673a\\u5907\\u4efd\\n- **n8n**\\uff1a\\u5de5\\u4f5c\\u6d41\\u81ea\\u52a8\\u5316\\n- **Hermes**\\uff1aAI\\u5185\\u5bb9\\u751f\\u6210\\n- **Notion / Airtable**\\uff1a\\u5143\\u6570\\u636e\\u7ba1\\u7406\\n\\\"\\\"\\\"\\n\\nwith open(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/11_\\u827a\\u672f\\u5bb6\\u7684\\u6570\\u5b57\\u8d44\\u4ea7\\u7ba1\\u7406_Synology_NAS\\u5168\\u6d41\\u7a0b\\u6307\\u5357.md\\\", \\\"w\\\") as f:\\n    f.write(content)\\n\\n# Remove the redundant article 11\\nimport os\\nos.remove(\\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6/11_n8n\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1_\\u827a\\u672f\\u5bb6\\u7684\\u81ea\\u52a8\\u5316\\u5b9e\\u8df5\\u6307\\u5357.md\\\")\\nprint(\\\"Done\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"Done\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.23}",
      "tool_call_id": "call_function_my8xg8vfq3jp_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Now let me verify all files and update the todo list.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Now let me verify all files and update the todo list.",
      "reasoning_details": [
        {
          "signature": "355567447d4df6ba34f0be6d9016955d389dcebd625c66e0441f180b9813a83d",
          "thinking": "Now let me verify all files and update the todo list.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_7kjlesm83l56_1",
          "call_id": "call_function_7kjlesm83l56_1",
          "response_item_id": "fc_function_7kjlesm83l56_1",
          "type": "function",
          "function": {
            "name": "execute_code",
            "arguments": "{\"code\": \"\\nimport os\\n\\narticles_dir = \\\"/home/kuhnn/SynologyDrive/\\u516c\\u4f17\\u53f7/Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6\\\"\\nfiles = sorted(os.listdir(articles_dir))\\n\\ntotal_size = 0\\nprint(f\\\"\\u5171 {len(files)} \\u4e2a\\u6587\\u4ef6\\uff1a\\\\n\\\")\\nfor f in files:\\n    path = os.path.join(articles_dir, f)\\n    size = os.path.getsize(path)\\n    total_size += size\\n    # Read first line as title\\n    with open(path, 'r') as fp:\\n        title = fp.readline().strip().lstrip('# ')\\n    print(f\\\"  {f}\\\")\\n    print(f\\\"    \\u6807\\u9898: {title}\\\")\\n    print(f\\\"    \\u5927\\u5c0f: {size:,} bytes\\\\n\\\")\\n    \\nprint(f\\\"\\u603b\\u5927\\u5c0f: {total_size:,} bytes ({total_size/1024:.1f} KB)\\\")\\n\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "execute_code",
      "content": "{\"status\": \"success\", \"output\": \"共 12 个文件：\\n\\n  01_艺术家个人品牌建设指南.md\\n    标题: 艺术家个人品牌建设指南：用AI工具建立专业形象\\n    大小: 4,782 bytes\\n\\n  02_展览投递的科学与艺术.md\\n    标题: 展览投递的科学与艺术：如何系统化申请全球展览\\n    大小: 7,869 bytes\\n\\n  02b_AI辅助艺术创作深度指南.md\\n    标题: AI辅助艺术创作深度指南：从灵感到成品的完整工作流\\n    大小: 16,198 bytes\\n\\n  03_AI时代艺术家的技能重构.md\\n    标题: AI时代艺术家的技能重构：哪些必须自己掌握\\n    大小: 8,123 bytes\\n\\n  04_计算机艺术革命_AI生成艺术的现状与未来.md\\n    标题: 计算机艺术革命：AI生成艺术的现状与未来\\n    大小: 9,030 bytes\\n\\n  05_策展人的新工具_如何用AI分析和呈现艺术.md\\n    标题: 策展人的新工具：如何用AI分析和呈现艺术\\n    大小: 7,745 bytes\\n\\n  06_画廊和艺术机构的AI转型.md\\n    标题: 画廊和艺术机构的AI转型：运营效率提升50%的实战方法\\n    大小: 7,340 bytes\\n\\n  07_音乐人与AI创作_Suno_Udio与新一代音乐人的生存之道.md\\n    标题: 音乐人与AI创作：Suno、Udio与新一代音乐人的生存之道\\n    大小: 10,666 bytes\\n\\n  08_视频与表演艺术_AI时代的影像创作新范式.md\\n    标题: 视频与表演艺术：AI时代的影像创作新范式\\n    大小: 8,817 bytes\\n\\n  09_艺术家的财务管理.md\\n    标题: 艺术家的财务管理：AI如何帮你理清收入、税务和投资\\n    大小: 9,763 bytes\\n\\n  10_艺术家与n8n工作流自动化.md\\n    标题: 艺术家与n8n工作流自动化：从零开始构建你的数字中枢\\n    大小: 11,011 bytes\\n\\n  11_艺术家的数字资产管理_Synology_NAS全流程指南.md\\n    标题: 艺术家的数字资产管理：Synology NAS + AI的全流程指南\\n    大小: 12,020 bytes\\n\\n总大小: 113,364 bytes (110.7 KB)\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.25}",
      "tool_call_id": "call_function_7kjlesm83l56_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "10篇文章已经完成，加上2b是bonus内容共12篇。让我更新todo并给用户总结。",
      "finish_reason": "tool_calls",
      "reasoning_content": "10篇文章已经完成，加上2b是bonus内容共12篇。让我更新todo并给用户总结。",
      "reasoning_details": [
        {
          "signature": "9ac024c67a88d5dfba628d1d6bf124bb08da0395820d5d909956568c74d3321b",
          "thinking": "10篇文章已经完成，加上2b是bonus内容共12篇。让我更新todo并给用户总结。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_dqi9etlw42x4_1",
          "call_id": "call_function_dqi9etlw42x4_1",
          "response_item_id": "fc_function_dqi9etlw42x4_1",
          "type": "function",
          "function": {
            "name": "todo",
            "arguments": "{\"todos\": [{\"id\": \"1\", \"content\": \"\\u519910\\u7bc7\\u516c\\u4f17\\u53f7\\u63a8\\u9001\\u6587\\u7ae0\\uff08Hermes\\u8d4b\\u80fd\\u827a\\u672f\\u5bb6\\uff09\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"\\u6587\\u7ae0\\u4fdd\\u5b58\\u5230Synology\\u6587\\u4ef6\\u5939\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"n8n\\u5de5\\u4f5c\\u6d41\\u8bbe\\u8ba1\\uff08\\u5c55\\u89c8\\u6295\\u9012\\u81ea\\u52a8\\u5316\\uff09\", \"status\": \"completed\"}]}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "todo",
      "content": "{\"todos\": [{\"id\": \"1\", \"content\": \"写10篇公众号推送文章（Hermes赋能艺术家）\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"文章保存到Synology文件夹\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"n8n工作流设计（展览投递自动化）\", \"status\": \"completed\"}], \"summary\": {\"total\": 3, \"pending\": 0, \"in_progress\": 0, \"completed\": 3, \"cancelled\": 0}}",
      "tool_call_id": "call_function_dqi9etlw42x4_1"
    },
    {
      "role": "assistant",
      "content": "完成。**11篇文章已保存到 Synology**：`/home/kuhnn/SynologyDrive/公众号/Hermes赋能艺术家/`\n\n---\n\n**文章列表（共11篇，约110KB）：**\n\n| # | 文件名 | 主题 |\n|---|--------|------|\n| 01 | 艺术家个人品牌建设指南 | 个人品牌、在线形象、社媒矩阵 |\n| 02 | 展览投递的科学与艺术 | 投递数据库、冷邮件策略、跟进机制 |\n| 02b | AI辅助艺术创作深度指南 | 核心干货 — 概念探索、Prompt控制、二次创作 |\n| 03 | AI时代艺术家的技能重构 | 技能分层、不可替代的能力、创作流程重构 |\n| 04 | 计算机艺术革命 | 四代计算机艺术史、AI艺术争议、市场现状 |\n| 05 | 策展人的新工具 | AI策展研究、叙事构建、展览文本写作 |\n| 06 | 画廊和艺术机构的AI转型 | 运营效率、CRM管理、数字化转型路线图 |\n| 07 | 音乐人与AI创作 | Suno/Udio工具对比、音乐人定位、版权问题 |\n| 08 | 视频与表演艺术 | AI视频工具、混合创作工作流、导演思维 |\n| 09 | 艺术家的财务管理 | 收入结构、税务、n8n财务管理自动化 |\n| 10 | 艺术家与n8n工作流自动化 | n8n核心概念、5个艺术家必备工作流 |\n| 11 | Synology NAS全流程指南 | NAS文件管理、AI增强、备份策略 |\n\n**内容亮点：**\n- 每篇都有具体的 **提示词模板** 和 **操作步骤**\n- n8n工作流提供了 **完整的流程图**\n- 涵盖艺术家行业的各个垂直领域\n- 附带方法论和工具推荐",
      "reasoning": "All done! Let me give the user a summary of what was created.",
      "finish_reason": "stop",
      "reasoning_content": "All done! Let me give the user a summary of what was created.",
      "reasoning_details": [
        {
          "signature": "829c4a88d59ee670ea87d8da8f935a01385b09db74261df2cf51e97a29bbec8f",
          "thinking": "All done! Let me give the user a summary of what was created.",
          "type": "thinking"
        }
      ]
    },
    {
      "role": "user",
      "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n  • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n  • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n  • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n  • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n  1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n  2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n  3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n     • `references/<topic>.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n     • `templates/<name>.<ext>` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n     • `scripts/<name>.<ext>` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n     Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n  4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n  • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n  • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n  • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n  • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them."
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Let me review the conversation to find skill update opportunities.\n\nThis session involved:\n1. MiniMax API configuration (TTS, image generation, music generation, lyrics generation, web search)\n2. Writing 11 articles about Hermes empowering artists for a WeChat public account\n3. Saving articles to Synology folder\n\nLet me check what skills exist and what could be updated.\n\nSkills mentioned/used:\n- `minimax-token-plan-api` - was created/updated in a previous session about MiniMax API\n- `minimax-search` - was created in previous session about search routing\n\nLooking at the signals:\n1. The user asked for 11 articles about Hermes empowering artists - this is a content creation task\n\n\n2. Articles were saved to Synology folder\n3. n8n workflow automation was covered in the articles\n\nThe main learning here is about writing a series of articles - this could be a content creation skill, but it seems like a one-off task. The articles themselves were the deliverable.\n\nFor skill updates:\n- `minimax-token-plan-api` was already updated earlier in this session (adding lyrics generation section)\n- `minimax-search` - seems complete\n\nLooking at what could be updated:\n1. The content creation task was handled well - no corrections were made\n2. The articles covered Hermes empowering artists comprehensively\n\nI'm not finding strong signals that warrant skill updates since the work was completed without issues and the articles were the final product rather than a repeatable process.\n\nActually, I should verify whether the `minimax-token-plan-api` skill needs patching based on what I added earlier in this session - I believe I added lyrics generation section but should check the context to confirm.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me review the conversation to find skill update opportunities.\n\nThis session involved:\n1. MiniMax API configuration (TTS, image generation, music generation, lyrics generation, web search)\n2. Writing 11 articles about Hermes empowering artists for a WeChat public account\n3. Saving articles to Synology folder\n\nLet me check what skills exist and what could be updated.\n\nSkills mentioned/used:\n- `minimax-token-plan-api` - was created/updated in a previous session about MiniMax API\n- `minimax-search` - was created in previous session about search routing\n\nLooking at the signals:\n1. The user asked for 11 articles about Hermes empowering artists - this is a content creation task\n\n\n2. Articles were saved to Synology folder\n3. n8n workflow automation was covered in the articles\n\nThe main learning here is about writing a series of articles - this could be a content creation skill, but it seems like a one-off task. The articles themselves were the deliverable.\n\nFor skill updates:\n- `minimax-token-plan-api` was already updated earlier in this session (adding lyrics generation section)\n- `minimax-search` - seems complete\n\nLooking at what could be updated:\n1. The content creation task was handled well - no corrections were made\n2. The articles covered Hermes empowering artists comprehensively\n\nI'm not finding strong signals that warrant skill updates since the work was completed without issues and the articles were the final product rather than a repeatable process.\n\nActually, I should verify whether the `minimax-token-plan-api` skill needs patching based on what I added earlier in this session - I believe I added lyrics generation section but should check the context to confirm.",
      "reasoning_details": [
        {
          "signature": "91db0e9cbd914cc2aa65f27bcc15db0ff30bf57d336132cce5e60af5bcd38f3f",
          "thinking": "Let me review the conversation to find skill update opportunities.\n\nThis session involved:\n1. MiniMax API configuration (TTS, image generation, music generation, lyrics generation, web search)\n2. Writing 11 articles about Hermes empowering artists for a WeChat public account\n3. Saving articles to Synology folder\n\nLet me check what skills exist and what could be updated.\n\nSkills mentioned/used:\n- `minimax-token-plan-api` - was created/updated in a previous session about MiniMax API\n- `minimax-search` - was created in previous session about search routing\n\nLooking at the signals:\n1. The user asked for 11 articles about Hermes empowering artists - this is a content creation task\n\n\n2. Articles were saved to Synology folder\n3. n8n workflow automation was covered in the articles\n\nThe main learning here is about writing a series of articles - this could be a content creation skill, but it seems like a one-off task. The articles themselves were the deliverable.\n\nFor skill updates:\n- `minimax-token-plan-api` was already updated earlier in this session (adding lyrics generation section)\n- `minimax-search` - seems complete\n\nLooking at what could be updated:\n1. The content creation task was handled well - no corrections were made\n2. The articles covered Hermes empowering artists comprehensively\n\nI'm not finding strong signals that warrant skill updates since the work was completed without issues and the articles were the final product rather than a repeatable process.\n\nActually, I should verify whether the `minimax-token-plan-api` skill needs patching based on what I added earlier in this session - I believe I added lyrics generation section but should check the context to confirm.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_8ol9eo1ugy0d_1",
          "call_id": "call_function_8ol9eo1ugy0d_1",
          "response_item_id": "fc_function_8ol9eo1ugy0d_1",
          "type": "function",
          "function": {
            "name": "skills_list",
            "arguments": "{}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "skills_list",
      "content": "{\"success\": true, \"skills\": [{\"name\": \"dogfood\", \"description\": \"Exploratory QA of web apps: find bugs, evidence, reports.\", \"category\": null}, {\"name\": \"yuanbao\", \"description\": \"Yuanbao (元宝) groups: @mention users, query info/members.\", \"category\": null}, {\"name\": \"claude-code\", \"description\": \"Delegate coding to Claude Code CLI (features, PRs).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"codex\", \"description\": \"Delegate coding to OpenAI Codex CLI (features, PRs).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"hermes-agent\", \"description\": \"Configure, extend, or contribute to Hermes Agent.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"opencode\", \"description\": \"Delegate coding to OpenCode CLI (features, PR review).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"architecture-diagram\", \"description\": \"Dark-themed SVG architecture/cloud/infra diagrams as HTML.\", \"category\": \"creative\"}, {\"name\": \"ascii-art\", \"description\": \"ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\", \"category\": \"creative\"}, {\"name\": \"ascii-video\", \"description\": \"ASCII video: convert video/audio to colored ASCII MP4/GIF.\", \"category\": \"creative\"}, {\"name\": \"baoyu-comic\", \"description\": \"Knowledge comics (知识漫画): educational, biography, tutorial.\", \"category\": \"creative\"}, {\"name\": \"baoyu-infographic\", \"description\": \"Infographics: 21 layouts x 21 styles (信息图, 可视化).\", \"category\": \"creative\"}, {\"name\": \"claude-design\", \"description\": \"Design one-off HTML artifacts (landing, deck, prototype).\", \"category\": \"creative\"}, {\"name\": \"comfyui\", \"description\": \"Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.\", \"category\": \"creative\"}, {\"name\": \"design-md\", \"description\": \"Author/validate/export Google's DESIGN.md token spec files.\", \"category\": \"creative\"}, {\"name\": \"excalidraw\", \"description\": \"Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\", \"category\": \"creative\"}, {\"name\": \"humanizer\", \"description\": \"Humanize text: strip AI-isms and add real voice.\", \"category\": \"creative\"}, {\"name\": \"ideation\", \"description\": \"Generate project ideas via creative constraints.\", \"category\": \"creative\"}, {\"name\": \"manim-video\", \"description\": \"Manim CE animations: 3Blue1Brown math/algo videos.\", \"category\": \"creative\"}, {\"name\": \"p5js\", \"description\": \"p5.js sketches: gen art, shaders, interactive, 3D.\", \"category\": \"creative\"}, {\"name\": \"pixel-art\", \"description\": \"Pixel art w/ era palettes (NES, Game Boy, PICO-8).\", \"category\": \"creative\"}, {\"name\": \"popular-web-designs\", \"description\": \"54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\", \"category\": \"creative\"}, {\"name\": \"pretext\", \"description\": \"Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.\", \"category\": \"creative\"}, {\"name\": \"sketch\", \"description\": \"Throwaway HTML mockups: 2-3 design variants to compare.\", \"category\": \"creative\"}, {\"name\": \"songwriting-and-ai-music\", \"description\": \"Songwriting craft and Suno AI music prompts.\", \"category\": \"creative\"}, {\"name\": \"touchdesigner-mcp\", \"description\": \"Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.\", \"category\": \"creative\"}, {\"name\": \"jupyter-live-kernel\", \"description\": \"Iterative Python via live Jupyter kernel (hamelnb).\", \"category\": \"data-science\"}, {\"name\": \"kanban-orchestrator\", \"description\": \"Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The \\\"don't do the work yourself\\\" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.\", \"category\": \"devops\"}, {\"name\": \"kanban-worker\", \"description\": \"Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.\", \"category\": \"devops\"}, {\"name\": \"webhook-subscriptions\", \"description\": \"Webhook subscriptions: event-driven agent runs.\", \"category\": \"devops\"}, {\"name\": \"himalaya\", \"description\": \"Himalaya CLI: IMAP/SMTP email from terminal.\", \"category\": \"email\"}, {\"name\": \"minecraft-modpack-server\", \"description\": \"Host modded Minecraft servers (CurseForge, Modrinth).\", \"category\": \"gaming\"}, {\"name\": \"pokemon-player\", \"description\": \"Play Pokemon via headless emulator + RAM reads.\", \"category\": \"gaming\"}, {\"name\": \"codebase-inspection\", \"description\": \"Inspect codebases w/ pygount: LOC, languages, ratios.\", \"category\": \"github\"}, {\"name\": \"github-auth\", \"description\": \"GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\", \"category\": \"github\"}, {\"name\": \"github-code-review\", \"description\": \"Review PRs: diffs, inline comments via gh or REST.\", \"category\": \"github\"}, {\"name\": \"github-issues\", \"description\": \"Create, triage, label, assign GitHub issues via gh or REST.\", \"category\": \"github\"}, {\"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"category\": \"github\"}, {\"name\": \"github-repo-management\", \"description\": \"Clone/create/fork repos; manage remotes, releases.\", \"category\": \"github\"}, {\"name\": \"native-mcp\", \"description\": \"MCP client: connect servers, register tools (stdio/HTTP).\", \"category\": \"mcp\"}, {\"name\": \"gif-search\", \"description\": \"Search/download GIFs from Tenor via curl + jq.\", \"category\": \"media\"}, {\"name\": \"heartmula\", \"description\": \"HeartMuLa: Suno-like song generation from lyrics + tags.\", \"category\": \"media\"}, {\"name\": \"songsee\", \"description\": \"Audio spectrograms/features (mel, chroma, MFCC) via CLI.\", \"category\": \"media\"}, {\"name\": \"spotify\", \"description\": \"Spotify: play, search, queue, manage playlists and devices.\", \"category\": \"media\"}, {\"name\": \"youtube-content\", \"description\": \"YouTube transcripts to summaries, threads, blogs.\", \"category\": \"media\"}, {\"name\": \"audiocraft-audio-generation\", \"description\": \"AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\", \"category\": \"mlops\"}, {\"name\": \"dspy\", \"description\": \"DSPy: declarative LM programs, auto-optimize prompts, RAG.\", \"category\": \"mlops\"}, {\"name\": \"evaluating-llms-harness\", \"description\": \"lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\", \"category\": \"mlops\"}, {\"name\": \"huggingface-hub\", \"description\": \"HuggingFace hf CLI: search/download/upload models, datasets.\", \"category\": \"mlops\"}, {\"name\": \"llama-cpp\", \"description\": \"llama.cpp local GGUF inference + HF Hub model discovery.\", \"category\": \"mlops\"}, {\"name\": \"minimax-token-plan-api\", \"description\": \"MiniMax Token Plan 年度/月度套餐 API 调用规则、端点、错误码和配置指南\", \"category\": \"mlops\"}, {\"name\": \"obliteratus\", \"description\": \"OBLITERATUS: abliterate LLM refusals (diff-in-means).\", \"category\": \"mlops\"}, {\"name\": \"segment-anything-model\", \"description\": \"SAM: zero-shot image segmentation via points, boxes, masks.\", \"category\": \"mlops\"}, {\"name\": \"serving-llms-vllm\", \"description\": \"vLLM: high-throughput LLM serving, OpenAI API, quantization.\", \"category\": \"mlops\"}, {\"name\": \"weights-and-biases\", \"description\": \"W&B: log ML experiments, sweeps, model registry, dashboards.\", \"category\": \"mlops\"}, {\"name\": \"obsidian\", \"description\": \"Read, search, create, and edit notes in the Obsidian vault.\", \"category\": \"note-taking\"}, {\"name\": \"airtable\", \"description\": \"Airtable REST API via curl. Records CRUD, filters, upserts.\", \"category\": \"productivity\"}, {\"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\", \"category\": \"productivity\"}, {\"name\": \"linear\", \"description\": \"Linear: manage issues, projects, teams via GraphQL + curl.\", \"category\": \"productivity\"}, {\"name\": \"maps\", \"description\": \"Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\", \"category\": \"productivity\"}, {\"name\": \"minimax-search\", \"description\": \"MiniMax Token Plan 网络搜索 - 当需要搜索中文内容、中国相关主题，或 Tavily 不可用时使用\", \"category\": \"productivity\"}, {\"name\": \"morning-briefing\", \"description\": \"Daily morning voice briefing for 坤哥 (London) — searches news/weather/art/London-local, cleans text for TTS, auto-plays on local speakers. Built on Hermes cron + Tavily + MiniMax TTS.\", \"category\": \"productivity\"}, {\"name\": \"nano-pdf\", \"description\": \"Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\", \"category\": \"productivity\"}, {\"name\": \"notion\", \"description\": \"Notion API + ntn CLI: pages, databases, markdown, Workers.\", \"category\": \"productivity\"}, {\"name\": \"ocr-and-documents\", \"description\": \"Extract text from PDFs/scans (pymupdf, marker-pdf).\", \"category\": \"productivity\"}, {\"name\": \"powerpoint\", \"description\": \"Create, read, edit .pptx decks, slides, notes, templates.\", \"category\": \"productivity\"}, {\"name\": \"teams-meeting-pipeline\", \"description\": \"Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.\", \"category\": \"productivity\"}, {\"name\": \"godmode\", \"description\": \"Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\", \"category\": \"red-teaming\"}, {\"name\": \"arxiv\", \"description\": \"Search arXiv papers by keyword, author, category, or ID.\", \"category\": \"research\"}, {\"name\": \"blogwatcher\", \"description\": \"Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\", \"category\": \"research\"}, {\"name\": \"llm-wiki\", \"description\": \"Karpathy's LLM Wiki: build/query interlinked markdown KB.\", \"category\": \"research\"}, {\"name\": \"polymarket\", \"description\": \"Query Polymarket: markets, prices, orderbooks, history.\", \"category\": \"research\"}, {\"name\": \"research-paper-writing\", \"description\": \"Write ML papers for NeurIPS/ICML/ICLR: design→submit.\", \"category\": \"research\"}, {\"name\": \"openhue\", \"description\": \"Control Philips Hue lights, scenes, rooms via OpenHue CLI.\", \"category\": \"smart-home\"}, {\"name\": \"xurl\", \"description\": \"X/Twitter via xurl CLI: post, search, DM, media, v2 API.\", \"category\": \"social-media\"}, {\"name\": \"debugging-hermes-tui-commands\", \"description\": \"Debug Hermes TUI slash commands: Python, gateway, Ink UI.\", \"category\": \"software-development\"}, {\"name\": \"hermes-agent-skill-authoring\", \"description\": \"Author in-repo SKILL.md: frontmatter, validator, structure.\", \"category\": \"software-development\"}, {\"name\": \"node-inspect-debugger\", \"description\": \"Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\", \"category\": \"software-development\"}, {\"name\": \"plan\", \"description\": \"Plan mode: write markdown plan to .hermes/plans/, no exec.\", \"category\": \"software-development\"}, {\"name\": \"python-debugpy\", \"description\": \"Debug Python: pdb REPL + debugpy remote (DAP).\", \"category\": \"software-development\"}, {\"name\": \"requesting-code-review\", \"description\": \"Pre-commit review: security scan, quality gates, auto-fix.\", \"category\": \"software-development\"}, {\"name\": \"spike\", \"description\": \"Throwaway experiments to validate an idea before build.\", \"category\": \"software-development\"}, {\"name\": \"subagent-driven-development\", \"description\": \"Execute plans via delegate_task subagents (2-stage review).\", \"category\": \"software-development\"}, {\"name\": \"systematic-debugging\", \"description\": \"4-phase root cause debugging: understand bugs before fixing.\", \"category\": \"software-development\"}, {\"name\": \"test-driven-development\", \"description\": \"TDD: enforce RED-GREEN-REFACTOR, tests before code.\", \"category\": \"software-development\"}, {\"name\": \"writing-plans\", \"description\": \"Write implementation plans: bite-sized tasks, paths, code.\", \"category\": \"software-development\"}], \"categories\": [\"autonomous-ai-agents\", \"creative\", \"data-science\", \"devops\", \"email\", \"gaming\", \"github\", \"mcp\", \"media\", \"mlops\", \"note-taking\", \"productivity\", \"red-teaming\", \"research\", \"smart-home\", \"social-media\", \"software-development\"], \"count\": 85, \"hint\": \"Use skill_view(name) to see full content, tags, and linked files\"}",
      "tool_call_id": "call_function_8ol9eo1ugy0d_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Let me look at the skills that are most relevant to what happened in this session:\n\n1. `minimax-token-plan-api` - loaded and updated during this session\n2. `minimax-search` - created during this session\n3. `hermes-agent` - was consulted for Hermes configuration\n4. `writing-plans` - not directly relevant\n5. `songwriting-and-ai-music` - relevant to the music creation article\n\nThe main learnings from this session:\n\n1. **n8n automation for artists** - The session produced detailed n8n workflows for artists (social media auto-posting, exhibition application tracking, portfolio updates, CRM, press release generation). This is a new class-level skill that could be added as `n8n-artist-workflows`.\n\n\n2. **Synology NAS + AI for artists** - The article covered DAM best practices, AI-enhanced file organization, and automated backup strategies, which fits well under the existing `notion` or `productivity` categories but could stand alone as `synology-nas`.\n3. **MiniMax API updates** - I verified image generation, music generation, lyrics generation, and network search APIs; added lyrics generation metadata and documented the AI-assisted search routing strategy with an `auxiliary.vision=auto` recommendation.\n4. **Content writing** - The user wanted 10 substantial WeChat public articles covering Hermes empowering artists across exhibition applications, self-packaging and promotion, creative assistance, computer art industry assistance, n8n integration, and methodologies, saved to Synology. I captured the prompt templates, workflow diagrams, and tool recommendations throughout.\n5. **`songwriting-and-ai-music`** - During this session I expanded the music workflow from pure songwriting into AI music generation with Suno/Udio integration, copyright considerations, and business strategy, so the existing skill should be patched to reflect these additions.\n\nFor the skill updates, I'm focusing on `songwriting-and-ai-music` since it directly overlaps with the article on music creators and AI创作, and I'm considering whether `n8n-artist-workflows` warrants a new skill or if it should be consolidated elsewhere.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me look at the skills that are most relevant to what happened in this session:\n\n1. `minimax-token-plan-api` - loaded and updated during this session\n2. `minimax-search` - created during this session\n3. `hermes-agent` - was consulted for Hermes configuration\n4. `writing-plans` - not directly relevant\n5. `songwriting-and-ai-music` - relevant to the music creation article\n\nThe main learnings from this session:\n\n1. **n8n automation for artists** - The session produced detailed n8n workflows for artists (social media auto-posting, exhibition application tracking, portfolio updates, CRM, press release generation). This is a new class-level skill that could be added as `n8n-artist-workflows`.\n\n\n2. **Synology NAS + AI for artists** - The article covered DAM best practices, AI-enhanced file organization, and automated backup strategies, which fits well under the existing `notion` or `productivity` categories but could stand alone as `synology-nas`.\n3. **MiniMax API updates** - I verified image generation, music generation, lyrics generation, and network search APIs; added lyrics generation metadata and documented the AI-assisted search routing strategy with an `auxiliary.vision=auto` recommendation.\n4. **Content writing** - The user wanted 10 substantial WeChat public articles covering Hermes empowering artists across exhibition applications, self-packaging and promotion, creative assistance, computer art industry assistance, n8n integration, and methodologies, saved to Synology. I captured the prompt templates, workflow diagrams, and tool recommendations throughout.\n5. **`songwriting-and-ai-music`** - During this session I expanded the music workflow from pure songwriting into AI music generation with Suno/Udio integration, copyright considerations, and business strategy, so the existing skill should be patched to reflect these additions.\n\nFor the skill updates, I'm focusing on `songwriting-and-ai-music` since it directly overlaps with the article on music creators and AI创作, and I'm considering whether `n8n-artist-workflows` warrants a new skill or if it should be consolidated elsewhere.",
      "reasoning_details": [
        {
          "signature": "bf5b1c43747b5ac51a426640d97fee120a1889504231a91857ed34bb39e8a20b",
          "thinking": "Let me look at the skills that are most relevant to what happened in this session:\n\n1. `minimax-token-plan-api` - loaded and updated during this session\n2. `minimax-search` - created during this session\n3. `hermes-agent` - was consulted for Hermes configuration\n4. `writing-plans` - not directly relevant\n5. `songwriting-and-ai-music` - relevant to the music creation article\n\nThe main learnings from this session:\n\n1. **n8n automation for artists** - The session produced detailed n8n workflows for artists (social media auto-posting, exhibition application tracking, portfolio updates, CRM, press release generation). This is a new class-level skill that could be added as `n8n-artist-workflows`.\n\n\n2. **Synology NAS + AI for artists** - The article covered DAM best practices, AI-enhanced file organization, and automated backup strategies, which fits well under the existing `notion` or `productivity` categories but could stand alone as `synology-nas`.\n3. **MiniMax API updates** - I verified image generation, music generation, lyrics generation, and network search APIs; added lyrics generation metadata and documented the AI-assisted search routing strategy with an `auxiliary.vision=auto` recommendation.\n4. **Content writing** - The user wanted 10 substantial WeChat public articles covering Hermes empowering artists across exhibition applications, self-packaging and promotion, creative assistance, computer art industry assistance, n8n integration, and methodologies, saved to Synology. I captured the prompt templates, workflow diagrams, and tool recommendations throughout.\n5. **`songwriting-and-ai-music`** - During this session I expanded the music workflow from pure songwriting into AI music generation with Suno/Udio integration, copyright considerations, and business strategy, so the existing skill should be patched to reflect these additions.\n\nFor the skill updates, I'm focusing on `songwriting-and-ai-music` since it directly overlaps with the article on music creators and AI创作, and I'm considering whether `n8n-artist-workflows` warrants a new skill or if it should be consolidated elsewhere.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_0gh2b7r3uwsi_1",
          "call_id": "call_function_0gh2b7r3uwsi_1",
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          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\": \"songwriting-and-ai-music\"}"
          }
        },
        {
          "id": "call_function_0gh2b7r3uwsi_2",
          "call_id": "call_function_0gh2b7r3uwsi_2",
          "response_item_id": "fc_function_0gh2b7r3uwsi_2",
          "type": "function",
          "function": {
            "name": "skill_view",
            "arguments": "{\"name\": \"minimax-token-plan-api\"}"
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    },
    {
      "role": "tool",
      "name": "skill_view",
      "content": "{\"success\": true, \"name\": \"songwriting-and-ai-music\", \"description\": \"Songwriting craft and Suno AI music prompts.\", \"tags\": [\"songwriting\", \"music\", \"suno\", \"parody\", \"lyrics\", \"creative\"], \"related_skills\": [], \"content\": \"---\\nname: songwriting-and-ai-music\\ndescription: \\\"Songwriting craft and Suno AI music prompts.\\\"\\ntags: [songwriting, music, suno, parody, lyrics, creative]\\nplatforms: [linux, macos, windows]\\ntriggers:\\n  - writing a song\\n  - song lyrics\\n  - music prompt\\n  - suno prompt\\n  - parody song\\n  - adapting a song\\n  - AI music generation\\n---\\n\\n# Songwriting & AI Music Generation\\n\\nEverything here is a GUIDELINE, not a rule. Art breaks rules on purpose.\\nUse what serves the song. Ignore what doesn't.\\n\\n---\\n\\n## 1. Song Structure (Pick One or Invent Your Own)\\n\\nCommon skeletons — mix, modify, or throw out as needed:\\n\\n```\\nABABCB  Verse/Chorus/Verse/Chorus/Bridge/Chorus    (most pop/rock)\\nAABA    Verse/Verse/Bridge/Verse (refrain-based)    (jazz standards, ballads)\\nABAB    Verse/Chorus alternating                    (simple, direct)\\nAAA     Verse/Verse/Verse (strophic, no chorus)     (folk, storytelling)\\n```\\n\\nThe six building blocks:\\n- Intro      — set the mood, pull the listener in\\n- Verse      — the story, the details, the world-building\\n- Pre-Chorus — optional tension ramp before the payoff\\n- Chorus     — the emotional core, the part people remember\\n- Bridge     — a detour, a shift in perspective or key\\n- Outro      — the farewell, can echo or subvert the rest\\n\\nYou don't need all of these. Some great songs are just one section\\nthat evolves. Structure serves the emotion, not the other way around.\\n\\n---\\n\\n## 2. Rhyme, Meter, and Sound\\n\\nRHYME TYPES (from tight to loose):\\n- Perfect: lean/mean\\n- Family: crate/braid\\n- Assonance: had/glass (same vowels, different endings)\\n- Consonance: scene/when (different vowels, similar endings)\\n- Near/slant: enough to suggest connection without locking it down\\n\\nMix them. All perfect rhymes can sound like a nursery rhyme.\\nAll slant rhymes can sound lazy. The blend is where it lives.\\n\\nINTERNAL RHYME: Rhyming within a line, not just at the ends.\\n  \\\"We pruned the lies from bleeding trees / Distilled the storm\\n   from entropy\\\" — \\\"lies/flies,\\\" \\\"trees/entropy\\\" create internal echoes.\\n\\nMETER: The rhythm of stressed vs unstressed syllables.\\n- Matching syllable counts between parallel lines helps singability\\n- The STRESSED syllables matter more than total count\\n- Say it out loud. If you stumble, the meter needs work.\\n- Intentionally breaking meter can create emphasis or surprise\\n\\n---\\n\\n## 3. Emotional Arc and Dynamics\\n\\nThink of a song as a journey, not a flat road.\\n\\nENERGY MAPPING (rough idea, not prescription):\\n  Intro: 2-3  |  Verse: 5-6  |  Pre-Chorus: 7\\n  Chorus: 8-9  |  Bridge: varies  |  Final Chorus: 9-10\\n\\nThe most powerful dynamic trick: CONTRAST.\\n- Whisper before a scream hits harder than just screaming\\n- Sparse before dense. Slow before fast. Low before high.\\n- The drop only works because of the buildup\\n- Silence is an instrument\\n\\n\\\"Whisper to roar to whisper\\\" — start intimate, build to full power,\\nstrip back to vulnerability. Works for ballads, epics, anthems.\\n\\n---\\n\\n## 4. Writing Lyrics That Work\\n\\nSHOW, DON'T TELL (usually):\\n- \\\"I was sad\\\" = flat\\n- \\\"Your hoodie's still on the hook by the door\\\" = alive\\n- But sometimes \\\"I give my life\\\" said plainly IS the power\\n\\nTHE HOOK:\\n- The line people remember, hum, repeat\\n- Usually the title or core phrase\\n- Works best when melody + lyric + emotion all align\\n- Place it where it lands hardest (often first/last line of chorus)\\n\\nPROSODY — lyrics and music supporting each other:\\n- Stable feelings (resolution, peace) pair with settled melodies,\\n  perfect rhymes, resolved chords\\n- Unstable feelings (longing, doubt) pair with wandering melodies,\\n  near-rhymes, unresolved chords\\n- Verse melody typically sits lower, chorus goes higher\\n- But flip this if it serves the song\\n\\nAVOID (unless you're doing it on purpose):\\n- Cliches on autopilot (\\\"heart of gold\\\" without earning it)\\n- Forcing word order to hit a rhyme (\\\"Yoda-speak\\\")\\n- Same energy in every section (flat dynamics)\\n- Treating your first draft as sacred — revision is creation\\n\\n---\\n\\n## 5. Parody and Adaptation\\n\\nWhen rewriting an existing song with new lyrics:\\n\\nTHE SKELETON: Map the original's structure first.\\n- Count syllables per line\\n- Mark the rhyme scheme (ABAB, AABB, etc.)\\n- Identify which syllables are STRESSED\\n- Note where held/sustained notes fall\\n\\nFITTING NEW WORDS:\\n- Match stressed syllables to the same beats as the original\\n- Total syllable count can flex by 1-2 unstressed syllables\\n- On long held notes, try to match the VOWEL SOUND of the original\\n  (if original holds \\\"LOOOVE\\\" with an \\\"oo\\\" vowel, \\\"FOOOD\\\" fits\\n   better than \\\"LIFE\\\")\\n- Monosyllabic swaps in key spots keep rhythm intact\\n  (Crime -> Code, Snake -> Noose)\\n- Sing your new words over the original — if you stumble, revise\\n\\nCONCEPT:\\n- Pick a concept strong enough to sustain the whole song\\n- Start from the title/hook and build outward\\n- Generate lots of raw material (puns, phrases, images) FIRST,\\n  then fit the best ones into the structure\\n- If you need a specific line somewhere, reverse-engineer the\\n  rhyme scheme backward to set it up\\n\\nKEEP SOME ORIGINALS: Leaving a few original lines or structures\\nintact adds recognizability and lets the audience feel the connection.\\n\\n---\\n\\n## 6. Suno AI Prompt Engineering\\n\\n### Style/Genre Description Field\\n\\nFORMULA (adapt as needed):\\n  Genre + Mood + Era + Instruments + Vocal Style + Production + Dynamics\\n\\n```\\nBAD:  \\\"sad rock song\\\"\\nGOOD: \\\"Cinematic orchestral spy thriller, 1960s Cold War era, smoky\\n       sultry female vocalist, big band jazz, brass section with\\n       trumpets and french horns, sweeping strings, minor key,\\n       vintage analog warmth\\\"\\n```\\n\\nDESCRIBE THE JOURNEY, not just the genre:\\n```\\n\\\"Begins as a haunting whisper over sparse piano. Gradually layers\\n in muted brass. Builds through the chorus with full orchestra.\\n Second verse erupts with raw belting intensity. Outro strips back\\n to a lone piano and a fragile whisper fading to silence.\\\"\\n```\\n\\nTIPS:\\n- V4.5+ supports up to 1,000 chars in Style field — use them\\n- NO artist names or trademarks. Describe the sound instead.\\n  \\\"1960s Cold War spy thriller brass\\\" not \\\"James Bond style\\\"\\n  \\\"90s grunge\\\" not \\\"Nirvana-style\\\"\\n- Specify BPM and key when you have a preference\\n- Use Exclude Styles field for what you DON'T want\\n- Unexpected genre combos can be gold: \\\"bossa nova trap\\\",\\n  \\\"Appalachian gothic\\\", \\\"chiptune jazz\\\"\\n- Build a vocal PERSONA, not just a gender:\\n  \\\"A weathered torch singer with a smoky alto, slight rasp,\\n   who starts vulnerable and builds to devastating power\\\"\\n\\n### Metatags (place in [brackets] inside lyrics field)\\n\\nSTRUCTURE:\\n  [Intro] [Verse] [Verse 1] [Pre-Chorus] [Chorus]\\n  [Post-Chorus] [Hook] [Bridge] [Interlude]\\n  [Instrumental] [Instrumental Break] [Guitar Solo]\\n  [Breakdown] [Build-up] [Outro] [Silence] [End]\\n\\nVOCAL PERFORMANCE:\\n  [Whispered] [Spoken Word] [Belted] [Falsetto] [Powerful]\\n  [Soulful] [Raspy] [Breathy] [Smooth] [Gritty]\\n  [Staccato] [Legato] [Vibrato] [Melismatic]\\n  [Harmonies] [Choir] [Harmonized Chorus]\\n\\nDYNAMICS:\\n  [High Energy] [Low Energy] [Building Energy] [Explosive]\\n  [Emotional Climax] [Gradual swell] [Orchestral swell]\\n  [Quiet arrangement] [Falling tension] [Slow Down]\\n\\nGENDER:\\n  [Female Vocals] [Male Vocals]\\n\\nATMOSPHERE:\\n  [Melancholic] [Euphoric] [Nostalgic] [Aggressive]\\n  [Dreamy] [Intimate] [Dark Atmosphere]\\n\\nSFX:\\n  [Vinyl Crackle] [Rain] [Applause] [Static] [Thunder]\\n\\nPut tags in BOTH style field AND lyrics for reinforcement.\\nKeep to 5-8 tags per section max — too many confuses the AI.\\nDon't contradict yourself ([Calm] + [Aggressive] in same section).\\n\\n### Custom Mode\\n- Always use Custom Mode for serious work (separate Style + Lyrics)\\n- Lyrics field limit: ~3,000 chars (~40-60 lines)\\n- Always add structural tags — without them Suno defaults to\\n  flat verse/chorus/verse with no emotional arc\\n\\n---\\n\\n## 7. Phonetic Tricks for AI Singers\\n\\nAI vocalists don't read — they pronounce. Help them:\\n\\nPHONETIC RESPELLING:\\n- Spell words as they SOUND: \\\"through\\\" -> \\\"thru\\\"\\n- Proper nouns are highest failure rate — test early\\n- \\\"Nous\\\" -> \\\"Noose\\\" (forces correct pronunciation)\\n- Hyphenate to guide syllables: \\\"Re-search\\\", \\\"bio-engineering\\\"\\n\\nDELIVERY CONTROL:\\n- ALL CAPS = louder, more intense\\n- Vowel extension: \\\"lo-o-o-ove\\\" = sustained/melisma\\n- Ellipses: \\\"I... need... you\\\" = dramatic pauses\\n- Hyphenated stretch: \\\"ne-e-ed\\\" = emotional stretch\\n\\nALWAYS:\\n- Spell out numbers: \\\"24/7\\\" -> \\\"twenty four seven\\\"\\n- Space acronyms: \\\"AI\\\" -> \\\"A I\\\" or \\\"A-I\\\"\\n- Test proper nouns/unusual words in a short 30-second clip first\\n- Once generated, pronunciation is baked in — fix in lyrics BEFORE\\n\\n---\\n\\n## 8. Workflow\\n\\n1. Write the concept/hook first — what's the emotional core?\\n2. If adapting, map the original structure (syllables, rhyme, stress)\\n3. Generate raw material — brainstorm freely before structuring\\n4. Draft lyrics into the structure\\n5. Read/sing aloud — catch stumbles, fix meter\\n6. Build the Suno style description — paint the dynamic journey\\n7. Add metatags to lyrics for performance direction\\n8. Generate 3-5 variations minimum — treat them like recording takes\\n9. Pick the best, use Extend/Continue to build on promising sections\\n10. If something great happens by accident, keep it\\n\\nEXPECT: ~3-5 generations per 1 good result. Revision is normal.\\nStyle can drift in extensions — restate genre/mood when extending.\\n\\n---\\n\\n## 9. Lessons Learned\\n\\n- Describing the dynamic ARC in the style field matters way more\\n  than just listing genres. \\\"Whisper to roar to whisper\\\" gives\\n  Suno a performance map.\\n- Keeping some original lines intact in a parody adds recognizability\\n  and emotional weight — the audience feels the ghost of the original.\\n- The bridge slot in a song is where you can transform imagery.\\n  Swap the original's specific references for your theme's metaphors\\n  while keeping the emotional function (reflection, shift, revelation).\\n- Monosyllabic word swaps in hooks/tags are the cleanest way to\\n  maintain rhythm while changing meaning.\\n- A strong vocal persona description in the style field makes a\\n  bigger difference than any single metatag.\\n- Don't be precious about rules. If a line breaks meter but hits\\n  harder, keep it. The feeling is what matters. Craft serves art,\\n  not the other way around.\\n\", \"path\": \"creative/songwriting-and-ai-music/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/creative/songwriting-and-ai-music\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
      "tool_call_id": "call_function_0gh2b7r3uwsi_1"
    },
    {
      "role": "tool",
      "name": "skill_view",
      "content": "{\"success\": true, \"name\": \"minimax-token-plan-api\", \"description\": \"MiniMax Token Plan 年度/月度套餐 API 调用规则、端点、错误码和配置指南\", \"tags\": [\"minimax\", \"api\", \"tts\", \"text\", \"image\", \"video\", \"token-plan\"], \"related_skills\": [], \"content\": \"---\\nname: minimax-token-plan-api\\ndescription: MiniMax Token Plan 年度/月度套餐 API 调用规则、端点、错误码和配置指南\\ntags: [minimax, api, tts, text, image, video, token-plan]\\n---\\n\\n# MiniMax Token Plan API 参考\\n\\n> MiniMax Token Plan 年度/月度套餐的 API 调用规则。与旧版计费 API Key 完全不同。\\n\\n## 核心概念区分\\n\\n| | Token Plan Key | 计费 API Key（旧）|\\n|---|---|---|\\n| **来源** | Token Plan 套餐配套 | 账户余额充值 |\\n| **计费方式** | 配额制（请求次数/时间窗口） | 余额制（按量扣费）|\\n| **错误 1008** | 不会发生（配额耗尽→1002 rate limit） | `insufficient balance` → 余额耗尽 |\\n| **超额后** | 配额用完 → `rate limit (1002)`；可叠加 Credits | 余额耗尽后无法调用 |\\n\\n**当前问题：** 用户的 `MINIMAX_CN_API_KEY` 是旧计费 Key，导致 `insufficient balance (1008)` 错误。已更新为国际版 Token Plan Key（sk-cp-BdZ...），但用户实际使用 **Plus极速版（中国大陆）**，与国际版 Hs_plus 是两套独立系统。\\n\\n**重要区分（实测得出）：**\\n\\n| | 中国大陆 Plus 极速版 | 国际版 Hs_plus |\\n|---|---|---|\\n| **平台** | platform.minimaxi.com | platform.minimax.io |\\n| **API 端点** | `api.minimaxi.com` | `api.minimaxi.com` |\\n| **M2.7-highspeed** | 1,500次/5小时 | 4,500次/5小时 |\\n| **TTS Speech 2.8** | 9,000字符/日 | 19,000字符/日 |\\n| **image-01** | 100张/日 | 200张/日 |\\n| **Music-2.6** | 100首/天（≤5分钟） | 100首/天（≤5分钟） |\\n| **可用 TTS 模型** | `speech-2.8-hd`（实测成功） | `speech-02-hd`（Hs_plus专属）|\\n\\n> **注意：** 用户实际购买的是 **Plus 极速版**（非标准版），TTS 配额 **9,000字符/天**（非4,000）。Plus 极速版使用 `speech-2.8-hd` 模型；Hs_plus 使用 `speech-02-hd`/`speech-01-hd`。两者不要混淆。\\n\\n**认证方式（实测验证）：**\\n\\n所有 MiniMax API 统一使用以下 headers，**无需 GroupId**：\\n```\\nAuthorization: Bearer <Token Plan Key>\\nContent-Type: application/json\\n```\\n\\n> ⚠️ **关键发现：** `Content-Type: application/json` 是必须的！之前 curl 测试失败是因为：\\n> 1. 用占位符 Key 导致误判为需要 GroupId\\n> 2. 缺少 `Content-Type` header\\n>\\n> 用 Python `requests` 库 + 真实 Key + 正确 headers 测试全部成功。\\n\\n**图片生成认证要点：**\\n- 必须 `Content-Type: application/json`\\n- `response_format`: `\\\"base64\\\"` 返回 base64，或 `\\\"url\\\"` 返回图片 URL\\n\\n**音乐生成认证要点：**\\n- 必须 `Content-Type: application/json`\\n- 必须提供歌词（`lyrics` 参数）或设置 `lyrics_optimizer: true`\\n- 纯音乐模式需设置 `is_instrumental: true` + `prompt` 必填\\n\\n**歌词生成端点：**\\n```\\nPOST https://api.minimaxi.com/v1/lyrics_generation\\n```\\n- `mode: \\\"write_full_song\\\"` - 写完整歌曲\\n- `mode: \\\"edit\\\"` - 编辑/续写歌词\\n- `prompt` - 歌曲主题/风格描述\\n\\n---\\n\\n## Token Plan 配额（Plus 极速版）\\n\\n| 资源 | 配额 | 刷新机制 |\\n|---|---|---|\\n| M2.7-highspeed | 1,500 请求/5小时 | 滚动 5 小时窗口 |\\n| Speech 2.8 | 9,000 字符/天 | 每日北京时间 00:00 刷新 |\\n| image-01 | 100 张/天 | 每日刷新 |\\n| Music-2.6 | 100 首/天（每首≤5分钟） | 每日刷新 |\\n\\n**扣费顺序：** Token Plan 配额 → Credits（如果有）→ 不覆盖的资源需切换计费 Key\\n\\n---\\n\\n## API 端点总览\\n\\n所有 API 均使用 `Authorization: Bearer <Token Plan Key>`\\n\\n### 1. 文本模型（Text Chat）\\n\\n**Anthropic 兼容端点（Hermes 当前使用）：**\\n```\\nPOST https://api.minimaxi.com/anthropic/v1/messages\\nHeaders:\\n  x-api-key: <Token Plan Key>\\n  Authorization: Bearer <Token Plan Key>\\n```\\n\\n**OpenAI 兼容端点：**\\n```\\nPOST https://api.minimaxi.com/v1/chat/completions\\n```\\n\\n**支持的模型：**\\n- `MiniMax-M2.7`\\n- `MiniMax-M2.7-highspeed`\\n- `MiniMax-M2.5`\\n- `MiniMax-M2.5-highspeed`\\n\\n**请求示例（Anthropic）：**\\n```bash\\ncurl -X POST https://api.minimaxi.com/anthropic/v1/messages \\\\\\n  -H \\\"x-api-key: $MINIMAX_TOKEN_PLAN_KEY\\\" \\\\\\n  -H \\\"Authorization: Bearer $MINIMAX_TOKEN_PLAN_KEY\\\" \\\\\\n  -H \\\"Content-Type: application/json\\\" \\\\\\n  -d '{\\n    \\\"model\\\": \\\"MiniMax-M2.7\\\",\\n    \\\"messages\\\": [{\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"Hello\\\"}]\\n  }'\\n```\\n\\n---\\n\\n### 2. 文字转语音（TTS）\\n\\n**国际版端点：** `https://api.minimaxi.com/v1/t2a_v2`（Hs_plus 用户）  \\n**国内版端点：** `https://api.minimax.cn/v1/t2a_v2`（Plus极速版用户，api.minimax.cn 国内可访问）\\n\\n> **注意：** Plus 极速版 TTS 使用 `speech-2.8-hd` 模型，配额 **9,000字符/天**；Hs_plus 使用 `speech-02-hd`/`speech-01-hd`。Plus 极速版调用 `speech-02-hd` 会返回 2056（模型专属配额）。\\n\\n**TTS 模型（实测验证）：**\\n- `speech-2.8-hd` → Plus 极速版可用 ✅（配额 9000字符/日）\\n- `speech-02-hd` → Hs_plus 专属，Plus 极速版调用返回 2056 ❌\\n- `speech-01-hd` → Hs_plus 专属，Plus 极速版调用返回 2056 ❌\\n\\n**请求示例：**\\n```python\\nimport requests\\n\\napi_key = os.environ.get(\\\"MINIMAX_API_KEY\\\")\\nurl = \\\"https://api.minimaxi.com/v1/t2a_v2\\\"\\nheaders = {\\n    \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n    \\\"Content-Type\\\": \\\"application/json\\\"\\n}\\npayload = {\\n    \\\"model\\\": \\\"speech-2.8-hd\\\",  # 必须用这个，speech-02-hd 会返回 2056\\n    \\\"text\\\": \\\"你好，欢迎使用 MiniMax TTS\\\",\\n    \\\"voice_setting\\\": {\\n        \\\"voice_id\\\": \\\"Chinese (Mandarin)_News_Anchor\\\",\\n        \\\"speed\\\": 1,\\n        \\\"vol\\\": 1,\\n        \\\"pitch\\\": 0\\n    },\\n    \\\"audio_setting\\\": {\\n        \\\"sample_rate\\\": 32000,\\n        \\\"format\\\": \\\"mp3\\\",\\n        \\\"bitrate\\\": 128000\\n    }\\n}\\n\\nresp = requests.post(url, headers=headers, json=payload)\\naudio_data = resp.json()[\\\"data\\\"][\\\"audio\\\"]  # base64 编码的音频\\n```\\n\\n**语音情感（emotion）选项：** `happy`, `sad`, `angry`, `fearful`, `disgusted`, `surprised`, `calm`, `fluent`, `whisper`（`fluent`/`whisper` 仅 `speech-2.8-hd` 支持）\\n\\n---\\n\\n### 3. 图片生成（实测成功）\\n\\n**文生图端点：** `POST https://api.minimaxi.com/v1/image_generation`  \\n**图生图端点：** `POST https://api.minimaxi.com/v1/image_interior`（需参考文档确认）\\n\\n**模型：** `image-01`\\n\\n**请求示例（Python）：**\\n```python\\nimport requests\\n\\napi_key = os.environ.get(\\\"MINIMAX_API_KEY\\\")\\nurl = \\\"https://api.minimaxi.com/v1/image_generation\\\"\\nheaders = {\\n    \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n    \\\"Content-Type\\\": \\\"application/json\\\"\\n}\\npayload = {\\n    \\\"model\\\": \\\"image-01\\\",\\n    \\\"prompt\\\": \\\"一个男人穿着白色T恤站在海边\\\",\\n    \\\"aspect_ratio\\\": \\\"16:9\\\",\\n    \\\"response_format\\\": \\\"base64\\\"  # 或 \\\"url\\\"\\n}\\n\\nresp = requests.post(url, headers=headers, json=payload)\\nimages = resp.json()[\\\"data\\\"][\\\"image_base64\\\"]  # base64 格式\\n# 或 image_urls（URL 格式）\\n```\\n\\n> ⚠️ **之前失败原因：** curl 测试用占位符 Key，返回 1004 导致误判为需要 GroupId。实测用真实 Token Plan Key + `Content-Type: application/json` 即可成功。\\n\\n**尺寸选项：** `1:1`(1024×1024), `16:9`(1280×720), `4:3`, `3:2`, `2:3`, `3:4`, `9:16`, `21:9`\\n\\n---\\n\\n### 4. 视频生成\\n\\n**端点：** `POST https://api.minimaxi.com/v1/video_generation`\\n\\n**模型：** `MiniMax-Hailuo-02`（2.3系列）, `T2V-01`, `I2V-01` 等\\n\\n**⚠️ 必须附加 GroupId 查询参数（同图片生成）。**\\n\\n---\\n\\n### 4. 音乐生成（实测成功）\\n\\n**端点：** `POST https://api.minimaxi.com/v1/music_generation`\\n\\n**模型：** `Music-2.6`\\n\\n**配额：** 100首/天（每首≤5分钟）\\n\\n**请求示例（Python）：**\\n```python\\nimport requests\\n\\napi_key = os.environ.get(\\\"MINIMAX_API_KEY\\\")\\nurl = \\\"https://api.minimaxi.com/v1/music_generation\\\"\\nheaders = {\\n    \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n    \\\"Content-Type\\\": \\\"application/json\\\"\\n}\\npayload = {\\n    \\\"model\\\": \\\"music-2.6\\\",\\n    \\\"prompt\\\": \\\"欢快的新年歌曲, 流行音乐, 开心\\\",\\n    \\\"lyrics\\\": \\\"[Verse]\\\\n新年到真热闹\\\\n烟花绽放天空照\\\\n[Hook]\\\\n恭喜恭喜恭喜你\\\\n新年快乐每一天\\\"\\n}\\n\\nresp = requests.post(url, headers=headers, json=payload)\\naudio_data = resp.json()[\\\"data\\\"][\\\"audio\\\"]  # base64 编码的音频\\n```\\n\\n**纯音乐模式：**\\n```python\\npayload = {\\n    \\\"model\\\": \\\"music-2.6\\\",\\n    \\\"prompt\\\": \\\"chill lo-fi hip hop beat\\\",  # 必填\\n    \\\"is_instrumental\\\": True\\n}\\n```\\n\\n**歌词自动生成（不提供歌词时）：**\\n```python\\npayload = {\\n    \\\"model\\\": \\\"music-2.6\\\",\\n    \\\"prompt\\\": \\\"a cheerful pop song\\\",\\n    \\\"lyrics_optimizer\\\": True  # 自动生成歌词\\n}\\n```\\n\\n---\\n\\n### 5. 歌词生成（Token Plan 包含）\\n\\n**端点：** `POST https://api.minimaxi.com/v1/lyrics_generation`\\n\\n**请求示例：**\\n```python\\nimport requests\\n\\napi_key = os.environ.get(\\\"MINIMAX_API_KEY\\\")\\nurl = \\\"https://api.minimaxi.com/v1/lyrics_generation\\\"\\nheaders = {\\n    \\\"Authorization\\\": f\\\"Bearer {api_key}\\\",\\n    \\\"Content-Type\\\": \\\"application/json\\\"\\n}\\npayload = {\\n    \\\"mode\\\": \\\"write_full_song\\\",\\n    \\\"prompt\\\": \\\"一首关于夏日海边的轻快情歌\\\"\\n}\\n\\nresp = requests.post(url, headers=headers, json=payload)\\ndata = resp.json()\\nsong_title = data[\\\"data\\\"][\\\"song_title\\\"]\\nstyle_tags = data[\\\"data\\\"][\\\"style_tags\\\"]\\nlyrics = data[\\\"data\\\"][\\\"lyrics\\\"]\\n```\\n\\n**参数说明：**\\n- `mode`: `\\\"write_full_song\\\"` 写完整歌曲, `\\\"edit\\\"` 编辑/续写歌词\\n- `prompt`: 歌曲主题/风格描述（最大2000字符）\\n- `lyrics`: 现有歌词（仅 `edit` 模式）\\n- `title`: 指定歌曲标题\\n\\n**返回的歌词结构标签：** `[Intro]`, `[Verse]`, `[Pre-Chorus]`, `[Chorus]`, `[Hook]`, `[Bridge]`, `[Solo]`, `[Interlude]`, `[Outro]`\\n\\n---\\n\\n### 6. 网络搜索路由策略\\n\\n**默认搜索：** Tavily（`web.search_backend: tavily`，已验证可用）\\n\\n**MiniMax Token Plan 搜索（备用）：**\\n```\\nPOST https://api.minimaxi.com/v1/coding_plan/search\\n```\\n```python\\npayload = {\\\"q\\\": \\\"搜索关键词\\\"}\\n```\\n\\n**路由规则：**\\n1. 正常英文/国际内容 → Tavily\\n2. 中文搜索、中国相关 → MiniMax `/v1/coding_plan/search`\\n3. 用户指定 MiniMax → MiniMax\\n4. Tavily 不可用 → MiniMax\\n\\n### 7. 图片理解（Vision）\\n\\n**推荐方案：** MiniMax-M2.7 **原生支持图片输入**，通过 `/anthropic/v1/messages` 接口直接传图片即可。Hermes 配置 `auxiliary.vision.provider: auto` 自动使用此方式 ✅\\n\\n**Token Plan MCP 方案（有 URL 验证问题，不推荐）：**\\n```\\nPOST https://api.minimaxi.com/v1/coding_plan/vlm\\n```\\n- 实测状态：❌ 返回 2013 invalid params\\n\\n### 8. Token Plan MCP 工具\\n\\n通过 MCP 协议调用（需安装 `minimax-coding-plan-mcp`）：\\n```bash\\nuvx minimax-coding-plan-mcp --env MINIMAX_API_KEY=<Token Plan Key> --env MINIMAX_API_HOST=https://api.minimaxi.com\\n```\\n\\n提供 `web_search` 和 `understand_image` 工具。\\n\\n---\\n\\n## Hermes 配置说明\\n\\n**config.yaml 中的 MiniMax 相关配置：**\\n\\n| 配置项 | 当前值 | 说明 |\\n|--------|--------|------|\\n| `model.provider` | `minimax-cn` | 主对话 provider |\\n| `tts.minimax.model` | `speech-2.8-hd` | TTS 模型（Plus 极速版正确） |\\n| `auxiliary.vision.provider` | `auto` | ✅ 正确，M2.7 原生图片输入 |\\n| `web.search_backend` | `tavily` | 可用，也可切换到 MiniMax MCP |\\n\\n**Hermes 内置图片/音乐生成：** Hermes 内置的图片生成走 FAL.ai/OpenAI/Codex，不是 MiniMax。如需 MiniMax 图片/音乐生成，需直接调用 API（见上方端点）。\\n\\n> **注意：** Hermes 没有内置的 MiniMax 图片生成或音乐生成插件。这些功能需要通过对话让 Agent 直接调用 MiniMax API。\\n\\n---\\n\\n## 错误代码速查\\n\\n| Code | 含义 | 处理方式 |\\n|---|---|---|\\n| 1002 | rate limit | 等 5 小时配额刷新，或用 Credits |\\n| 1004 | 认证失败 | 检查 Token Plan Key 是否正确 |\\n| 1008 | 余额不足 | **计费 Key 问题**，切换到 Token Plan Key |\\n| 1026/1027 | 内容敏感 | 修改输入内容 |\\n| 1039 | token 超限 | 减少输入 token 数 |\\n| 1041 | 连接数超限 | 降低并发 |\\n| 2045 | 增长限速 | 避免请求量突变 |\\n| **2056** | **TTS Speech 每日配额耗尽** | **等次日配额刷新**（Hs_plus: 4000字符/天）|\\n\\n> **2056 错误示例（实测）：**\\n> `usage limit exceeded, 5-hour usage limit reached for Token Plan Hs_plus (0/0 used), resets at 2026-05-18T15:00:00+08:00`\\n> - TTS Speech 是**每日配额**，不是 5 小时窗口\\n> - `(0/0 used)` 表示配额计数未刷新，不影响实际限制\\n> - 文本对话（`/anthropic/v1/messages`）不受此限制影响\\n\\n---\\n\\n## Rate Limits（与 Token Plan 配额是两套不同的限制）\\n\\n| 类别 | RPM | TPM |\\n|---|---|---|\\n| Text (M2.7/M2.5) | 500 | 20,000,000 |\\n| T2A (TTS) | 60 | - |\\n| Image | 10 | - |\\n| Video | 5 | - |\\n| Music | 120 | - |\\n\\n---\\n\\n## Credits 机制\\n\\n- Token Plan 配额耗尽后自动抵扣 Credits\\n- Credits 1 年有效期，不可跨年滚动\\n- 可单独购买，不必须配 Token Plan\\n- 获取地址：https://platform.minimax.io/user-center/payment/balance\\n\\n---\\n\\n## 相关文档\\n\\n- [用户配置状态（国内 Plus 标准版）](./references/plus-domestic-user-status.md)\\n- [API 认证方式差异（文本/TTS 不需要 GroupID，图片/音乐需要）](./references/api-authentication.md)\", \"path\": \"mlops/minimax-token-plan-api/SKILL.md\", \"skill_dir\": \"/home/kuhnn/.hermes/skills/mlops/minimax-token-plan-api\", \"linked_files\": {\"references\": [\"references/api-authentication.md\", \"references/plus-domestic-user-status.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
      "tool_call_id": "call_function_0gh2b7r3uwsi_2"
    },
    {
      "role": "assistant",
      "content": "Nothing to save.\n\nThis session was a straightforward content generation task — 11 WeChat articles written directly to disk with no tool-integration, no corrections, and no workflow deviations. The articles themselves are the deliverable, not a technique that warrants a skill entry.\n\nKey observations for next time:\n- `songwriting-and-ai-music` exists but wasn't consulted — the music article (Article 07) covered Suno/Udio at an operational level, not deep enough to extend that skill\n- `minimax-token-plan-api` was loaded/updated in a prior session and remains current\n- No user corrections, no new techniques, no workflow pivots — a clean execution",
      "reasoning": "Now I need to think about what to update based on this session:\n\n1. The session was about writing 11 articles for a WeChat public account about \"Hermes赋能艺术家\" (Hermes empowering artists)\n2. The articles covered: personal branding, exhibition applications, AI-assisted art creation, computer art, curatorial work, gallery operations, music production, video art, financial management, n8n automation, and digital asset management with Synology NAS\n\nKey signals to consider:\n\n1. **The `songwriting-and-ai-music` skill was NOT loaded or consulted** - but the session produced rich content about Suno/Udio music generation. \n\nThe `minimax-token-plan-api` skill already has comprehensive coverage of all the MiniMax APIs (text, TTS, image, video, music, lyrics), but since the session didn't actually invoke the music generation tools, there's nothing new to add there. The 11 articles were generated independently without triggering any skills, so there's no skill update needed from this work.\n\nBut I'm noticing something important: the articles showed a consistent pattern of using structured workflows and automation frameworks that could be valuable for future content generation tasks. The approach of creating comprehensive reference materials with practical steps and lists is something I should note for similar projects.\n\nLooking at what actually happened in the session, the MiniMax API was being used, but the content generation itself was purely creative writing without invoking any tools or skills. So while the articles themselves are substantive, they don't represent a new skill or workflow that needs to be captured—the user simply provided a writing task and it was completed.\n\nBut there's something worth considering: the user's mention of wanting to avoid past issues with AI-generated content appearing \"fake\" suggests they have a specific quality standard. This preference about authenticity and avoiding AI-sounding output could be worth noting as a contextual preference for future creative work, even though it's not a skill per se.\n\nThe songwriting skill does exist and could be relevant if they're working on music-related projects, but since the session didn't actually involve song generation or skill consultation, there's no direct lesson to extract. The minimax API is thoroughly documented, and the articles themselves don't provide feedback on the quality or approach taken.\n\nI don't see a strong signal to update anything here—the session was about content generation without tool usage, corrections, or new techniques that would warrant skill modifications. I'm realizing the songwriting-and-ai-music skill should focus specifically on songwriting craft and Suno prompts, while the Synology content covered in the articles belongs more appropriately in the obsidian or productivity skills since it's really about digital asset management. So there's no real overlap to address.\n\nSince the user didn't provide feedback on the articles themselves, there's nothing to update based on that either. I think the right call is to not make any changes and just move forward.",
      "finish_reason": "stop",
      "reasoning_content": "Now I need to think about what to update based on this session:\n\n1. The session was about writing 11 articles for a WeChat public account about \"Hermes赋能艺术家\" (Hermes empowering artists)\n2. The articles covered: personal branding, exhibition applications, AI-assisted art creation, computer art, curatorial work, gallery operations, music production, video art, financial management, n8n automation, and digital asset management with Synology NAS\n\nKey signals to consider:\n\n1. **The `songwriting-and-ai-music` skill was NOT loaded or consulted** - but the session produced rich content about Suno/Udio music generation. \n\nThe `minimax-token-plan-api` skill already has comprehensive coverage of all the MiniMax APIs (text, TTS, image, video, music, lyrics), but since the session didn't actually invoke the music generation tools, there's nothing new to add there. The 11 articles were generated independently without triggering any skills, so there's no skill update needed from this work.\n\nBut I'm noticing something important: the articles showed a consistent pattern of using structured workflows and automation frameworks that could be valuable for future content generation tasks. The approach of creating comprehensive reference materials with practical steps and lists is something I should note for similar projects.\n\nLooking at what actually happened in the session, the MiniMax API was being used, but the content generation itself was purely creative writing without invoking any tools or skills. So while the articles themselves are substantive, they don't represent a new skill or workflow that needs to be captured—the user simply provided a writing task and it was completed.\n\nBut there's something worth considering: the user's mention of wanting to avoid past issues with AI-generated content appearing \"fake\" suggests they have a specific quality standard. This preference about authenticity and avoiding AI-sounding output could be worth noting as a contextual preference for future creative work, even though it's not a skill per se.\n\nThe songwriting skill does exist and could be relevant if they're working on music-related projects, but since the session didn't actually involve song generation or skill consultation, there's no direct lesson to extract. The minimax API is thoroughly documented, and the articles themselves don't provide feedback on the quality or approach taken.\n\nI don't see a strong signal to update anything here—the session was about content generation without tool usage, corrections, or new techniques that would warrant skill modifications. I'm realizing the songwriting-and-ai-music skill should focus specifically on songwriting craft and Suno prompts, while the Synology content covered in the articles belongs more appropriately in the obsidian or productivity skills since it's really about digital asset management. So there's no real overlap to address.\n\nSince the user didn't provide feedback on the articles themselves, there's nothing to update based on that either. I think the right call is to not make any changes and just move forward.",
      "reasoning_details": [
        {
          "signature": "504c51160fb6e2a933a48d3e0290c2b14360d45d37d16443d4c48b9bbf44fffe",
          "thinking": "Now I need to think about what to update based on this session:\n\n1. The session was about writing 11 articles for a WeChat public account about \"Hermes赋能艺术家\" (Hermes empowering artists)\n2. The articles covered: personal branding, exhibition applications, AI-assisted art creation, computer art, curatorial work, gallery operations, music production, video art, financial management, n8n automation, and digital asset management with Synology NAS\n\nKey signals to consider:\n\n1. **The `songwriting-and-ai-music` skill was NOT loaded or consulted** - but the session produced rich content about Suno/Udio music generation. \n\nThe `minimax-token-plan-api` skill already has comprehensive coverage of all the MiniMax APIs (text, TTS, image, video, music, lyrics), but since the session didn't actually invoke the music generation tools, there's nothing new to add there. The 11 articles were generated independently without triggering any skills, so there's no skill update needed from this work.\n\nBut I'm noticing something important: the articles showed a consistent pattern of using structured workflows and automation frameworks that could be valuable for future content generation tasks. The approach of creating comprehensive reference materials with practical steps and lists is something I should note for similar projects.\n\nLooking at what actually happened in the session, the MiniMax API was being used, but the content generation itself was purely creative writing without invoking any tools or skills. So while the articles themselves are substantive, they don't represent a new skill or workflow that needs to be captured—the user simply provided a writing task and it was completed.\n\nBut there's something worth considering: the user's mention of wanting to avoid past issues with AI-generated content appearing \"fake\" suggests they have a specific quality standard. This preference about authenticity and avoiding AI-sounding output could be worth noting as a contextual preference for future creative work, even though it's not a skill per se.\n\nThe songwriting skill does exist and could be relevant if they're working on music-related projects, but since the session didn't actually involve song generation or skill consultation, there's no direct lesson to extract. The minimax API is thoroughly documented, and the articles themselves don't provide feedback on the quality or approach taken.\n\nI don't see a strong signal to update anything here—the session was about content generation without tool usage, corrections, or new techniques that would warrant skill modifications. I'm realizing the songwriting-and-ai-music skill should focus specifically on songwriting craft and Suno prompts, while the Synology content covered in the articles belongs more appropriately in the obsidian or productivity skills since it's really about digital asset management. So there's no real overlap to address.\n\nSince the user didn't provide feedback on the articles themselves, there's nothing to update based on that either. I think the right call is to not make any changes and just move forward.",
          "type": "thinking"
        }
      ]
    }
  ]
}