{
  "session_id": "cron_18c46fde1520_20260518_061135",
  "model": "MiniMax-M2.7",
  "base_url": "https://api.minimaxi.com/anthropic",
  "platform": "cron",
  "session_start": "2026-05-18T06:11:35.526217",
  "last_updated": "2026-05-18T06:13:52.668510",
  "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    - 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/.hermes/hermes-agent\n\nYou are running as a scheduled cron job. There is no user present — you cannot ask questions, request clarification, or wait for follow-up. Execute the task fully and autonomously, making reasonable decisions where needed. Your final response is automatically delivered to the job's configured destination — put the primary content directly in your response.\n\nConversation started: Monday, May 18, 2026 06:11 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 simple information retrieval, prefer web_search or web_extract (faster, cheaper). 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": "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  web_search(query: str, limit: int = 5) -> dict\n    Returns {\"data\": {\"web\": [{\"url\", \"title\", \"description\"}, ...]}}\n  web_extract(urls: list[str]) -> dict\n    Returns {\"results\": [{\"url\", \"title\", \"content\", \"error\"}, ...]} where content is markdown\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 web_search, 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": "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": "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": "web_extract",
        "description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.",
        "parameters": {
          "type": "object",
          "properties": {
            "urls": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "List of URLs to extract content from (max 5 URLs per call)",
              "maxItems": 5
            }
          },
          "required": [
            "urls"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "web_search",
        "description": "Search the web for information. Returns up to 5 results by default with titles, URLs, and descriptions. The query is passed through to the configured backend, so operators such as site:domain, filetype:pdf, intitle:word, -term, and \"exact phrase\" may work when the backend supports them.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "The search query to look up on the web. You may include backend-supported operators such as site:example.com, filetype:pdf, intitle:word, -term, or \"exact phrase\"."
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of results to return. Defaults to 5.",
              "minimum": 1,
              "maximum": 100,
              "default": 5
            }
          },
          "required": [
            "query"
          ]
        }
      }
    },
    {
      "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": 20,
  "messages": [
    {
      "role": "user",
      "content": "[IMPORTANT: The user has invoked the \"morning-briefing\" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]\n\n---\nname: morning-briefing\ndescription: \"Daily morning voice briefing via Telegram — searches news/weather, cleans text for TTS, delivers audio. Built on Hermes cron + Tavily + MiniMax TTS.\"\nversion: 1.0.0\nauthor: Hermes Agent\nplatforms: [linux]\ntags: [cron, telegram, tts, tavily, mini-max, news, voice, briefing]\nmetadata:\n  cron_job_id: \"18c46fde1520\"\n  tavily_key: \"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\"\n  schedule: \"0 9 * * *\"\n  minimax_tts_key_note: \"MINIMAX_API_KEY (TTS) is SEPARATE from MINIMAX_CN_API_KEY (chat). Both must be set. The TTS endpoint (speech-02-hd) uses api.minimaxi.com/v1/t2a_v2 and requires MINIMAX_API_KEY. The chat endpoint uses api.minimaxi.com/anthropic with MINIMAX_CN_API_KEY.\"\n---\n\n# Morning Briefing\n\nDaily voice briefing delivered to Telegram at 09:00 BST (16:00 北京).\n\n## Workflow\n\n1. `web_search` — search today's news via Tavily\n2. `web_search` — get weather for user's city\n3. **Art industry news** — web_search for \"艺术行业新闻 中国\" (museums, galleries, auctions, cultural heritage, etc.)\n4. Compile briefing text in Chinese\n5. **Convert all Arabic numerals to Chinese characters** (critical — see Pitfalls)\n6. **MiniMax TTS via `text_to_speech` tool** (preferred — best quality, broadcast style)\n7. **Playback on local speakers** — set volume to 80%, play via ffplay\n8. **Fallback: Local Piper** via `~/bin/tts_briefing.sh` (only if MiniMax fails)\n9. Cron auto-delivers to Telegram\n\n## User Profile\n- **Name**: 坤哥 (K.W.)\n- **Location**: 伦敦\n- **Language**: 中文\n\n## Briefing Template\n\n```\n坤哥，早上好！今天是{dates}，{weekday}。\n\n重要新闻：\n{n}条新闻，每条一行\n\n艺术动态：\n{艺术新闻，1条}\n\n伦敦本地：\n{伦敦本地新闻，重点提TFL罢工和游行示威情况}\n\n伦敦天气：{weather}，气温{temp}。\n```\n\n## London Local News Priority\n重点监测：\n- TFL 地铁/公交是否罢工\n- 是否有游行示威\n- 其他重要本地事件\n\n## Audio Playback (Local Speakers at 9 AM)\n\nAfter TTS generation, play the audio on the local machine's speakers at 80% volume:\n\n```bash\n# Set system volume to 80% (unmuted)\npactl set-sink-volume alsa_output.pci-0000_00_1f.3.analog-stereo 80%\npactl set-sink-mute alsa_output.pci-0000_00_1f.3.analog-stereo false\n\n# Play audio\nffplay -nodisp -autoexit -volume 80 /home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.ogg &\n```\n\n**Audio device (ALSA):** `alsa_output.pci-0000_00_1f.3.analog-stereo` — confirm with `pactl list sinks` if different.\n\n## Pitfalls\n\n### TTS reads numbers as digits\nMiniMax TTS (and most Chinese TTS) reads `18°C`、`2026年5月18日`、`85%` as individual digits. **ALL numbers must be pre-converted to Chinese characters:**\n\n| Original | For TTS |\n|----------|---------|\n| 18°C | 十八度 |\n| 27°C | 二十七度 |\n| 2026年5月18日 | 二零二六年五月十八日 |\n| 85% | 百分之八十五 |\n| 79年 | 七十九年 |\n| 20~32°C | 二十到三十二度 |\n\nAlways apply this conversion in the prompt: e.g. `\"温度用中文，如'十八到二十七度'\"`\n\n## Cron Job Management\n\n```bash\n# List jobs\nhermes cron list\n\n# Run manually (for testing)\nhermes cron run <job_id>\n\n# View output\ncat ~/.hermes/cron/output/<job_id>/*.md\n\n# Find latest audio file\nfind ~/.hermes/audio_cache/ -name \"*.ogg\" -newer ~/.hermes/cron/output/<job_id>/*.md\n```\n\nCurrent job ID: `18c46fde1520`\n\n## TTS: MiniMax API (Preferred — Best Quality)\n\nMiniMax TTS (speech-02-hd, voice: Chinese_Mandarin_News_Anchor) gives significantly better quality — natural pauses, proper intonation, broadcast style. Use `text_to_speech` tool directly.\n\n**IMPORTANT — Cron environment:** Cron runs in a fresh subprocess without your session's env vars. Before calling `text_to_speech`, the agent MUST load .env:\n```bash\nexport $(grep MINIMAX_API_KEY /home/kuhnn/.hermes/.env | xargs)\n```\nThe `skills: [morning-briefing]` attachment on the cron job ensures the skill is loaded, which triggers the env loading logic. If TTS still fails with \"MINIMAX_API_KEY not set\", manually add the export step to the cron prompt.\n\n**TTS config (in cron prompt):**\n```\n使用 text_to_speech 工具（provider: minimax, model: speech-02-hd, voice: Chinese (Mandarin)_News_Anchor）\n输出 .ogg 格式文件\n在回复末尾写：MEDIA:/home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.ogg\n```\n\n**Rate limit:** MiniMax 年计划 1500次/5小时。超出后 cron 会静默失败，fallback 到 Piper。\n\n## TTS: Piper (Fallback — Fully Offline)\n\nWhen MiniMax is unavailable (quota exhausted, network down), fall back to local Piper via `~/bin/tts_briefing.sh`:\n\n```bash\n# Generate audio from text\necho \"播报文本内容\" | ~/bin/tts_briefing.sh --out /home/kuhnn/.hermes/audio_cache/tts_$(date +%Y%m%d_%H%M%S).wav\n\n# Convert to .ogg for Telegram\nffmpeg -i /home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.wav \\\n       -acodec libopus /home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.ogg -y\n\n# Deliver: MEDIA:/home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.ogg\n```\n\n**Piper quality note:** csukuangfj/vits-piper-zh_CN-huayan-medium has mechanical pauses and flat intonation. Acceptable for fallback, not ideal for daily use.\n\n**Piper setup:** `pip install piper-tts` → `~/.local/bin/piper` + model `csukuangfj/vits-piper-zh_CN-huayan-medium` (HuggingFace cache). Use **python3.10** (not 3.11) for huggingface_hub downloads.\n\n## Reference Files\n\n- `references/brief_text_clean.py` — Python TTS text cleaner (numbers→中文, acronyms→full form, punctuation normalization). Derived from OpenClaw's offline TTS pipeline.\n- `references/brief_replacements.json` — Acronym/name replacement dictionary used by the cleaner.\n- `references/tts-local-setup.md` — Piper model download, local TTS cron integration, MiniMax API key note.\n\n## Legacy (OpenClaw)\n\nOpenClaw used sherpa-onnx with `brief_text_clean.py` + `brief_replacements.json` for offline TTS. The cleaning script handled:\n- Acronyms: BBC → 英国广播公司\n- Names: Emmanuel Macron → 马克龙\n- Numbers → Chinese characters\n- Punctuation normalization for speech\n\nThese files are preserved in: `/home/kuhnn/SynologyDrive/openclaw_backup/snapshot_2026-03-09_031002/bin/`\n\n**Note:** The current morning-briefing cron uses MiniMax TTS, which requires `MINIMAX_API_KEY` (set separately from `MINIMAX_CN_API_KEY` used for chat). TTS failures with \"MINIMAX_API_KEY not set\" mean the TTS key is missing — check that `MINIMAX_API_KEY` is in `.env`, not just `MINIMAX_CN_API_KEY`.\n\nThe user has provided the following instruction alongside the skill invocation: [IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly \"[SILENT]\" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]\n\n你是坤哥的每日播报员。每早九点运行。\n\n## 搜索任务（并行）\n\n1. **重要新闻**：Tavily 搜索 \"today's top news China OR world 2026\" — 抓3条摘要\n2. **艺术动态**：Tavily 搜索 \"艺术行业新闻 中国\" — 抓1条（博物馆、画廊、拍卖、文化遗产等）\n3. **伦敦本地新闻**：Tavily 搜索 \"London today news TFL strike protest demonstration 2026\" — 重点关注：\n   - TFL 地铁/公交是否罢工\n   - 是否有游行示威\n   - 其他重要本地事件\n4. **伦敦天气**：Tavily 搜索 \"London current weather temperature\" — 获取天气状况和气温\n\n## 播报文本格式\n\n```\n坤哥，早上好！今天是{dates}，{weekday}。\n\n重要新闻：\n{3条新闻，每条一行}\n\n艺术动态：\n{1条艺术新闻}\n\n伦敦本地：\n{伦敦本地新闻，重点提TFL罢工和游行示威情况}\n\n伦敦天气：{weather}，气温{temp}。\n```\n\n## 关键规则\n\n- **称呼**：叫\"坤哥\"（不是 K.W.）\n- **数字全部转中文**：18°C → 十八度；2026年5月18日 → 二零二六年五月十八日；85% → 百分之八十五\n- **天气城市**：伦敦，不是北京\n- **伦敦新闻**：重点监测 TFL 罢工和游行示威活动，有就明确说\"有\"，没有就说\"无\"\n\n## TTS 生成\n\n使用 text_to_speech 工具（provider: minimax, model: speech-02-hd, voice: Chinese (Mandarin)_News_Anchor）\n输出 .ogg 格式\n回复末尾写：MEDIA:/home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.ogg\n\n## 本地喇叭播放\n\nTTS 完成后，在终端执行：\n```bash\npactl set-sink-volume alsa_output.pci-0000_00_1f.3.analog-stereo 80%\npactl set-sink-mute alsa_output.pci-0000_00_1f.3.analog-stereo false\nffplay -nodisp -autoexit -volume 80 /home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.ogg &\n```\n\n## 交付\n\n- Cron 自动投递到 Telegram\n- 回复只写播报文本 + MEDIA 路径，不要多余解释"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Let me start by running the searches in parallel to gather news, weather, and art industry news.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me start by running the searches in parallel to gather news, weather, and art industry news.",
      "reasoning_details": [
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          "thinking": "Let me start by running the searches in parallel to gather news, weather, and art industry news.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_7t6ejx2wmlif_1",
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          "type": "function",
          "function": {
            "name": "web_search",
            "arguments": "{\"query\": \"today's top news China OR world 2026\", \"limit\": 3}"
          }
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        {
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          "call_id": "call_function_7t6ejx2wmlif_2",
          "response_item_id": "fc_function_7t6ejx2wmlif_2",
          "type": "function",
          "function": {
            "name": "web_search",
            "arguments": "{\"query\": \"\\u827a\\u672f\\u884c\\u4e1a\\u65b0\\u95fb \\u4e2d\\u56fd \\u535a\\u7269\\u9986 \\u753b\\u5eca \\u62cd\\u5356 2026\", \"limit\": 3}"
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          "response_item_id": "fc_function_7t6ejx2wmlif_3",
          "type": "function",
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            "name": "web_search",
            "arguments": "{\"query\": \"London today news TFL strike protest demonstration 2026\", \"limit\": 5}"
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            "name": "web_search",
            "arguments": "{\"query\": \"London current weather temperature 2026\", \"limit\": 3}"
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    },
    {
      "role": "tool",
      "name": "web_search",
      "content": "{\n  \"success\": true,\n  \"data\": {\n    \"web\": [\n      {\n        \"title\": \"China news - breaking news, video, headlines and opinion | CNN\",\n        \"url\": \"https://www.cnn.com/world/china\",\n        \"description\": \"View the latest China news and videos, including politics, travel and business headlines ... 2026 — Trump's China state visit and meetings with Xi Jinping.\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"Xi Predicts 2026 as Landmark Year for U.S.–China Ties - YouTube\",\n        \"url\": \"https://www.youtube.com/watch?v=SzC2Ac0N3DI\",\n        \"description\": \"... China-U.S. relations, signaling hopes for improved engagement between the world's two largest economies ... Breaking News Today May 16, 2026. ME\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"China News | Today's Breaking Stories | Reuters\",\n        \"url\": \"https://www.reuters.com/world/china/\",\n        \"description\": \"Reuters.com is your online source for the latest China news stories and current events, ensuring our readers up to date with any breaking news developments.\",\n        \"position\": 3\n      }\n    ]\n  }\n}",
      "tool_call_id": "call_function_7t6ejx2wmlif_1"
    },
    {
      "role": "tool",
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      "content": "{\n  \"success\": true,\n  \"data\": {\n    \"web\": [\n      {\n        \"title\": \"雅昌专栏 | 孔达达：艺术拍卖市场结构性分化迎来2026新变量\",\n        \"url\": \"https://m.thepaper.cn/newsDetail_forward_32916605\",\n        \"description\": \"# 雅昌专栏 | 孔达达：艺术拍卖市场结构性分化迎来2026新变量. 一件元青花瓷罐的成交价从2005年伦敦佳士得的2.3亿元，到2025年香港苏富比饶介草书卷的2.5亿港元，数字背后是中国艺术品市场从爆发式增长到理性调整的二十年沉浮。. 元 14世纪中期 青花[鬼谷下山]图罐. 成交价  USD| 2,761.09万. 2024年全球艺术市场总销售额为575亿美元，较前一年下降12%，这已是市场连续第二年下滑。而在中国，内地艺术品拍卖市场经历了更加剧烈的调整，2024年销售额暴跌31%，跌至84亿美元，成为自2009年以来的最低水平。. 然而，进入2026年，市场在深幅调整中展现出新的生机与分化信号。佳士得香港春拍“20/21世纪艺术晚拍”以总成交额6.56亿港元、同比大增17.7%的成绩，以及100%的成交率，为处于理性调整期的艺术市场注入了一剂强心针，清晰地勾勒出“精品策略”主导下的复苏路径。. 中国艺术品拍卖市场的二十年发展，从2000年起，内地艺术品拍卖成交额还不足10亿元，到了2011年，这一数字已飙升至968亿元，全球市场份额从2005年的12%一度超越美国，最高达42%。这一时期，天价拍品与核心品类的崛起成为市场繁荣的关键标志。2005年伦敦佳士得拍卖中，元青花《鬼谷子下山图》瓷罐以2.3亿元人民币成交，彻底改变了西方对中国古代艺术品的价值认知。书画板块作为市场的压舱石，长期占据核心地位。2010年张大千《爱痕湖》以1.08亿元首破亿元大关。2017年齐白石《山水十二条屏》以9.315亿元落槌，刷新近现代书画纪录。. 戊申（1968年）作 爱痕湖  镜框. 伴随着中国经济的快速增长，艺术品成为新富群体资产配置与身份象征的重要载体。据相关报告显示，2015-2020年高净值人群艺术品投资占比从8%升至15%。与此同时，全球艺术市场格局也在悄然变化，2024年，美国依然稳占全球艺术市场的龙头地位，其销售额占全球总值的43%，英国成功重夺全球第二大艺术市场的地位，而中国则退居第三位。这一格局在2026年面临新的变量：中东资本深度介入、亚洲藏家视野全球化，以及拍卖行通过顶级拍品重构市场信心。. 今日的艺术拍卖市场呈现明显的结构性分化特征，中西方市场在调整中展现出不同特点，中国市场呈现出严重的两极分化。一方面，顶级精品保持坚挺，2025年香港苏富比春拍中，元末饶介《草书韩愈柳宗元文》以2.501亿港币成交，超估价20倍。另一方面，中低端拍品流拍率普遍超过40%，普通近现代书画、民国瓷器等品类成交价较峰值下降50%-70%。中国拍卖市场的集中度也在不断提高，从2013年到2023年，内地成交额最高的四家拍卖行市场份额从43.36%上升到51.38%，市场结构已从中下等垄断型转变为中上等垄断型的结构性转型。. 2026年佳士得香港春拍的数据，则为“顶级精品”市场的韧性提供了最新注脚。 其“20/21世纪艺术晚拍”专场，总成交额达6.56亿港元，同比大幅增长17.7%，上拍37件拍品实现100%成交率，即“白手套”佳绩。这一成绩是在全球市场仍处调整期、藏家出手审慎的背景下取得的，凸显了资金对极致精品的集中追逐。其中，杰哈德·李希特《抽象画》以9,210万港元领衔，常玉《毯上的曲腿马》以6,394万港元紧随其后，沃尔特·史毕斯《登高望远》更是以5,906万港元刷新艺术家世界拍卖纪录。这些数据清晰地表明：在理性时期，具有坚实学术价值和稀缺性的顶级作品，依然是高净值资本避险与增值的首选。. image:49×74.2cm；overall:53.5×78cm. 与中国市场的急剧收缩不同，国际艺术市场呈现出更加复杂的分层调整，高端市场明显降温，2024年公开拍卖中价值超过1000万美元的作品数量大幅下降了39%，其总价值更锐减45%。但同时，低价位市场展现韧性，价格低于5万美元的市场区间的交易量增长了8%，价格低于5000美元的超入门级市场，其销售额和成交量也分别提升了7%和13%。2026年佳士得伦敦春拍的数据也印证了这一国际趋势。 其三场拍卖合计成交总额达8.87亿港元，整体成交率高达93.82%。其中，晚拍延续了香港的精品策略，实现100%成交。而二十世纪日拍和二十一世纪日拍的成交率分别为92.7%和91.5%，显示出中坚价位市场的稳定需求。市场交易渠道也在发生变化。私人洽购在波动时期受到青睐，2024年拍卖行促成的私人洽购销售额逆势增长了14%，达到44亿美元。这与公开拍卖销售下降25%形成鲜明对比。. 中国艺术品拍卖市场面临的不仅是周期性调整，更是深层次结构性问题的集中爆发。成交数据显示，市场规模显著收缩且结构分化加剧。据《巴塞尔艺术展与瑞银集团艺术市场报告》，2024年中国内地艺术品拍卖成交额同比暴跌38%，全球市场份额从2021年35%降至28%，退居全球第三。核心藏家群体的断层是市场萎缩的重要原因，传统高净值藏家以房地产、制造业企业家为主，2021年后房地产行业深度调整、制造业面临转型压力，其购买力大幅萎缩。数据显示，2024年房地产行业藏家拍卖投入同比下降62%，艺术品在其资产配置中的占比从10%降至不足2%。. 政策环境的变化也给市场带来不确定性，2025年新版《文物保护法》部分“一刀切”条款压缩了民间藏品流通空间。如“近现代文物”界定模糊导致部分民国书画、革命文物无法上拍。市场信任体系的动摇则是另一大挑战，造假技术升级使传统“眼力鉴定”失效。部分专家为利益站台、拍卖行知假拍假，进一步透支了市场信任。2024年艺术品拍卖投诉量同比上升45%，真伪纠纷占比达78%。经过二十年挖掘流通，生货（未公开流通精品）日益稀缺，2024年内地拍卖行平均征集成本同比上升30%。高价征集藏品又因市场低迷难售出，形成征集难、销售难的恶性循环。. 科技正在全方位冲击艺术产业链，为市场带来颠覆性变革，在艺术创作和交易领域，数字艺术已从边缘存在转变为市场不可或缺的一部分。根据《巴塞尔艺术展与瑞银集团环球收藏调查报告》，数字艺术目前的总支出排名仅次于绘画和雕塑，位列第三。51%的高净值受访者在2024年或2025年购买了数字艺术品。市场信任难题也正在通过技术手段得到缓解，区块链技术的应用使艺术品数字确权成为可能。保利艺术云库收录2亿条藏品防伪数据，通过“数字身份证”记录流通历史、鉴定报告，实现来源可溯、真伪可查。AI鉴定系统也在逐步提升市场透明度，雅昌艺术网、阿里拍卖等机构推出针对书画、瓷器建立百万级数据库，显著降低了初级藏家参与门槛。. 线上交易正打破传统拍卖的地域限制，2024年全球线上艺术品拍卖成交额达186亿元，同比上升58%，中国市场占比41%。中国内地艺术品网络拍卖从2013年的不成气候，发展到2023年成交额14.38亿元，已占到总成交额的5.06%。. 面对结构性调整，艺术品市场参与者需要采取多元化策略以适应新环境。拍卖行正从交易中介转向综合服务商，提供藏品修复、学术研究、资产配置等增值服务。例如嘉德拍卖推出“藏品托管+保险+展览”一站式服务，2024年此类增值服务收入占比已达15%，成为新的利润增长点。学术化转型成为市场价值回归的核心路径，中国嘉德推出的“古代书画学术研究专场”，通过出版专著、举办研讨会提升拍品价值。保利拍卖联合故宫博物院、上海博物馆推出“馆藏级文物对比展”，强化价值公信力。2025年学术性专场成交率平均达75%，远高于市场平均水平，引导藏家从短期投机转向长期收藏。. 2026年佳士得的策略，成为这一转型的标杆。其香港春拍晚拍的核心策略是“精品化”与“多元化”并举。首先，上拍数量同比减少10%，将资源集中于37件经严格筛选的顶级作品，通过“减量增质”确保每一件拍品都具备极强的市场竞争力。其次，在以往以常玉、草间弥生等亚洲大师为核心的基础上，显著提升了西方印象派与现代艺术的比例，李希特、史毕斯、霍克尼等西方巨匠作品的加入，回应了亚洲收藏家视野日益全球化的趋势。这一策略直接促成了100%成交率和17.7%的同比增长，证明在理性市场中，清晰的精品策略和学术价值挖掘是穿越周期的关键。. 国际市场也呈现出新动向，中东市场正成为全球艺术产业的新沃土，阿布达比主权基金于2024年底斥资10亿美元入股苏富比，标志着中东资本首次在国际拍卖行的运营层面取得实质影响力。2025年12月，苏富比在阿布达比举办的首届“阿布达比藏家周”，跨品类拍卖总成交额突破1.3亿美元，为新兴市场拓展写下里程碑。. 低价格区间市场将继续扩大，这已成为全球艺术市场的明显趋势。根据艺术市场通讯《Puck》的研究，纽约拍卖行中价格低于5万美元的作品落槌价比率最高，达到1.57，意味著平均落槌价是估价的1.57倍。女性艺术家市场地位正持续缓慢提升，2024年，女性艺术家在经销商代理中的比例上升至41%，较2018年的35%有所增长。在一级市场艺廊中，这一比例更高达46%，其销售额占比也达到42%。. 面对传统藏家购买力萎缩的困境，中国拍卖行开始将目光投向更广阔的市场。传统与数字并行发展，高端精品与大众市场两极延伸，全球视野与本土资源深度融合，这三大趋势共同勾勒出2026年及未来艺术拍卖市场的新格局。2026年佳士得香港春拍的那一记响亮落槌，不仅是市场的强心针，更是理性时期新游戏规则的宣言。唯有最卓越的品质、最专业的策略和最开放的视野，才能赢得未来的博弈。.\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"汇聚近20个国家、数百家艺术机构，2026北京艺术季五月启幕\",\n        \"url\": \"https://m.bjnews.com.cn/detail/1776926898169256.html\",\n        \"description\": \"新京报讯（记者刘臻）4月22日，2026北京艺术季发布会在798艺术区举行，本届艺术季是由北京市文化和旅游局、北京市朝阳区人民政府、北京电子控股有限责任公司指导，北京七九八文化科技有限公司主办的城市级文化事件，以“艺聚北京 和合万方”为主题，旨在聚合海内外艺术资源、打造开放包容的平台，让不同地域、媒介与观念的艺术并置对话、交融互鉴。艺术季将于5月21日重磅启幕，持续至6月15日。. 本届北京艺术季以画廊周北京、北京当代·艺术博览会为双核心，联动全城各大艺术区、美术馆、专业画廊，汇聚近20个国家、数百家艺术机构，推出超400场特色活动，并邀请演员朱珠作为本届北京艺术季的宣传大使，共同开启一场关于艺术与城市的对话。据悉，本届艺术季首次构建“一级画廊市场+二级拍卖市场”联动的生态架构，推动从艺术价值培育到价值流通的链路贯通，完善艺术市场双循环格局，也为城市艺术生态持续升级注入更强动能。预期带动亿级产业规模，参与总人数拟超500万人次。. 作为立足首都、链接全球的标志性城市艺术盛会，2026北京艺术季首次联动六大城区，汇聚全城优质艺术资源，形成覆盖专业机构、市场主体与公众参与的城市级联动机制，营造全城流动的艺术氛围，同时还将打通重点文化空间与多元消费场景，打造集展览展示、艺术交易、城市漫游、公共美育、文商旅融合于一体的全民文化节日。届时，艺术将通过前沿数字技术在城市各大点位呈现优质作品，让艺术走出展馆、融入日常。此外，北京艺术季还将联动全市博物馆和500余家合作商户，整合特展、公教、研学等多元内容，以NFC票根串联艺术体验与消费场景，助力北京“博物馆之城”建设，叠加百万级票务补贴实惠，进一步激发文旅、餐饮、零售等多元消费活力。. 2026年恰逢“中巴文化年”，本届北京艺术季以此为契机，推出巴西文化主题展览和交流活动。同时，北京艺术季还将携手联合国教科文组织发起特别策划儿童绘画展览，以艺术推动自然生态教育、促进代际对话。艺术季期间，北京西班牙文化中心塞万提斯学院、丹麦艺术中心、韩国文化院、歌德学院等国际机构和文化交流中心也将带来更加多元的国际文化内容与交流体验。. 聚焦专业艺术生态建设、公共文化空间拓展、国际艺术资源链接与文化消费潜力释放四大维度，七九八文化科技有限公司将推动2026北京艺术季以更完整的城市视角、更开放的资源整合和更丰富的活动内容，助力艺术融入城市，展现首都全国文化中心的创新活力与时代风貌。. 新京报报料邮箱：82708677@bjnews.com.cn.\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"超1.37亿！亚洲最贵女艺术家作品出炉，2026香港春拍在回暖中重构 ...\",\n        \"url\": 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      "content": "{\n  \"success\": true,\n  \"data\": {\n    \"web\": [\n      {\n        \"title\": \"Weather in London, UK\",\n        \"url\": \"https://www.weatherapi.com/\",\n        \"description\": \"{'location': {'name': 'London', 'region': 'City of London, Greater London', 'country': 'United Kingdom', 'lat': 51.5171, 'lon': -0.1062, 'tz_id': 'Europe/London', 'localtime_epoch': 1779081100, 'localtime': '2026-05-18 06:11'}, 'current': {'last_updated_epoch': 1779080400, 'last_updated': '2026-05-18 06:00', 'temp_c': 8.1, 'temp_f': 46.6, 'is_day': 1, 'condition': {'text': 'Cloudy', 'icon': '//cdn.weatherapi.com/weather/64x64/day/119.png', 'code': 1006}, 'wind_mph': 5.1, 'wind_kph': 8.3, 'wind_degree': 222, 'wind_dir': 'SW', 'pressure_mb': 1010.0, 'pressure_in': 29.83, 'precip_mm': 0.0, 'precip_in': 0.0, 'humidity': 87, 'cloud': 25, 'feelslike_c': 6.7, 'feelslike_f': 44.1, 'windchill_c': 5.9, 'windchill_f': 42.6, 'heatindex_c': 7.4, 'heatindex_f': 45.3, 'dewpoint_c': 6.1, 'dewpoint_f': 43.0, 'vis_km': 10.0, 'vis_miles': 6.0, 'uv': 0.1, 'gust_mph': 8.1, 'gust_kph': 13.1, 'will_it_rain': 0, 'chance_of_rain': 0, 'will_it_snow': 0, 'chance_of_snow': 0}}\",\n        \"position\": 1\n      },\n      {\n        \"title\": \"London, London, United Kingdom Monthly Weather | AccuWeather\",\n        \"url\": \"https://www.accuweather.com/en/gb/london/ec4a-2/may-weather/328328\",\n        \"description\": \"London's May 2026 forecast shows daily high temperatures ranging from 58° to 81°, with overnight lows between 44° and 61°. The average high for May is 70°\",\n        \"position\": 2\n      },\n      {\n        \"title\": \"2026 - London, IN Monthly Weather | AccuWeather\",\n        \"url\": \"https://www.accuweather.com/en/us/london/46126/may-weather/2122624\",\n        \"description\": \"London's May 2026 forecast shows daily high temperatures ranging from 69° to 88°, with overnight lows between 51° and 70°. The average high for May is 79°\",\n        \"position\": 3\n      }\n    ]\n  }\n}",
      "tool_call_id": "call_function_7t6ejx2wmlif_4"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Now let me extract the key information from the search results:\n\n1. **重要新闻 (Top News)**:\n   - From CNN/YouTube: Xi predicts 2026 as landmark year for US-China relations, Trump's China state visit\n   - Need to get more specific news\n\n2. **艺术动态 (Art News)**:\n   - 2026北京艺术季五月启幕 - 汇聚近20个国家、数百家艺术机构\n   - 佳士得香港春拍成绩亮眼，成交额大增\n\n3. **伦敦本地新闻**:\n   - 有Tube strikes报道 - London Underground strikes\n   - Tens of thousands march in London (两场游行 - far-right and pro-Palestine)\n   - 今日新闻：2026年5月16日有游行示威\n\n4. **伦敦天气**:\n   - 8.1°C (八点一摄氏度 → 八度)\n   - Cloudy (多云)\n   - But I need to say it in Chinese format\n\nLet me get more specific news. Let me extract more from the results to get specifics.\n\nFor the date: Today is May 18, 2026 (二零二六年五月十八日), Monday (星期一).\n\nFor weather: 8.1°C → 八度左右, Cloudy → 多云\n\nLet me look at the art news more carefully - there are several articles. The Beijing Art Season and Christie's HK spring auction are good news items.\n\nFor London local news - I see there were protests on May 16, 2026. Since this is May 18, 2026, I should check if these are ongoing or recent. The Express article mentions Tube strikes coming up. Let me extract more from the Al Jazeera article.\n\n\nThe Al Jazeera piece describes tens of thousands marching through central London in two separate protests—a far-right demonstration and a pro-Palestine rally coinciding with Nakba Day. This is confirmed recent activity. For today's briefing on May 18, I should note whether these protests are still active or have subsided. The Express article also indicates upcoming Tube strikes affecting London Underground lines, which is relevant for local transit information.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Now let me extract the key information from the search results:\n\n1. **重要新闻 (Top News)**:\n   - From CNN/YouTube: Xi predicts 2026 as landmark year for US-China relations, Trump's China state visit\n   - Need to get more specific news\n\n2. **艺术动态 (Art News)**:\n   - 2026北京艺术季五月启幕 - 汇聚近20个国家、数百家艺术机构\n   - 佳士得香港春拍成绩亮眼，成交额大增\n\n3. **伦敦本地新闻**:\n   - 有Tube strikes报道 - London Underground strikes\n   - Tens of thousands march in London (两场游行 - far-right and pro-Palestine)\n   - 今日新闻：2026年5月16日有游行示威\n\n4. **伦敦天气**:\n   - 8.1°C (八点一摄氏度 → 八度)\n   - Cloudy (多云)\n   - But I need to say it in Chinese format\n\nLet me get more specific news. Let me extract more from the results to get specifics.\n\nFor the date: Today is May 18, 2026 (二零二六年五月十八日), Monday (星期一).\n\nFor weather: 8.1°C → 八度左右, Cloudy → 多云\n\nLet me look at the art news more carefully - there are several articles. The Beijing Art Season and Christie's HK spring auction are good news items.\n\nFor London local news - I see there were protests on May 16, 2026. Since this is May 18, 2026, I should check if these are ongoing or recent. The Express article mentions Tube strikes coming up. Let me extract more from the Al Jazeera article.\n\n\nThe Al Jazeera piece describes tens of thousands marching through central London in two separate protests—a far-right demonstration and a pro-Palestine rally coinciding with Nakba Day. This is confirmed recent activity. For today's briefing on May 18, I should note whether these protests are still active or have subsided. The Express article also indicates upcoming Tube strikes affecting London Underground lines, which is relevant for local transit information.",
      "reasoning_details": [
        {
          "signature": "77c17b723e87a5cae7ebaf6bd2c64c8938defe64ee154dd34490095739d069ec",
          "thinking": "Now let me extract the key information from the search results:\n\n1. **重要新闻 (Top News)**:\n   - From CNN/YouTube: Xi predicts 2026 as landmark year for US-China relations, Trump's China state visit\n   - Need to get more specific news\n\n2. **艺术动态 (Art News)**:\n   - 2026北京艺术季五月启幕 - 汇聚近20个国家、数百家艺术机构\n   - 佳士得香港春拍成绩亮眼，成交额大增\n\n3. **伦敦本地新闻**:\n   - 有Tube strikes报道 - London Underground strikes\n   - Tens of thousands march in London (两场游行 - far-right and pro-Palestine)\n   - 今日新闻：2026年5月16日有游行示威\n\n4. **伦敦天气**:\n   - 8.1°C (八点一摄氏度 → 八度)\n   - Cloudy (多云)\n   - But I need to say it in Chinese format\n\nLet me get more specific news. Let me extract more from the results to get specifics.\n\nFor the date: Today is May 18, 2026 (二零二六年五月十八日), Monday (星期一).\n\nFor weather: 8.1°C → 八度左右, Cloudy → 多云\n\nLet me look at the art news more carefully - there are several articles. The Beijing Art Season and Christie's HK spring auction are good news items.\n\nFor London local news - I see there were protests on May 16, 2026. Since this is May 18, 2026, I should check if these are ongoing or recent. The Express article mentions Tube strikes coming up. Let me extract more from the Al Jazeera article.\n\n\nThe Al Jazeera piece describes tens of thousands marching through central London in two separate protests—a far-right demonstration and a pro-Palestine rally coinciding with Nakba Day. This is confirmed recent activity. For today's briefing on May 18, I should note whether these protests are still active or have subsided. The Express article also indicates upcoming Tube strikes affecting London Underground lines, which is relevant for local transit information.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_h1h5yw312nkn_1",
          "call_id": "call_function_h1h5yw312nkn_1",
          "response_item_id": "fc_function_h1h5yw312nkn_1",
          "type": "function",
          "function": {
            "name": "web_extract",
            "arguments": "{\"urls\": [\"https://www.aljazeera.com/news/2026/5/16/tens-of-thousands-march-in-london-in-far-right-and-pro-palestine-protests\", \"https://www.express.co.uk/news/uk/2206508/tube-strikes-2026-london-underground-lines-affected/amp\", \"https://www.theguardian.com/uk-news/2026/may/15/london-underground-tube-strikes-could-be-called-off-rmt-talks\"]}"
          }
        },
        {
          "id": "call_function_h1h5yw312nkn_2",
          "call_id": "call_function_h1h5yw312nkn_2",
          "response_item_id": "fc_function_h1h5yw312nkn_2",
          "type": "function",
          "function": {
            "name": "web_extract",
            "arguments": "{\"urls\": [\"https://www.youtube.com/watch?v=SzC2Ac0N3DI\"]}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "web_extract",
      "content": "{\n  \"results\": [\n    {\n      \"url\": \"https://www.aljazeera.com/news/2026/5/16/tens-of-thousands-march-in-london-in-far-right-and-pro-palestine-protests\",\n      \"title\": \"Tens of thousands march in London in far-right and pro-Palestine ...\",\n      \"content\": \"# Tens of thousands march in London in far-right and pro-Palestine protests\\n\\n*British capital sees heightened security as right wing rally takes place at the same time as Nakba Day march.*\\n\\nSave\\n\\nShare\\n\\n![LONDON, ENGLAND -MAY 15: People take part in the 78th Nakba Anniversary March on May 16, 2026 in London, England. Today is the 78th Nakba anniversary, demanding an end to British support for Israel. The Metropolitan Police have imposed Public Order Act conditions, restricting the protest to Pall Mall to separate it from a concurrent far-right rally on Whitehall. (Photo by Brook Mitchell/Getty Images)](/wp-content/uploads/2026/05/getty_6a086aefa4-1778936559.jpg?resize=770%2C513&quality=80)\\n\\nTens of thousands of people are marching through central London in two separate protests – one pro-Palestine demonstration a day after Nakba Day, and the other, a [far-right rally](/features/longform/2026/5/15/how-the-far-right-got-its-name) staged by Tommy Robinson.\\n\\nPolice in the British capital deployed 4,000 officers, including reinforcements from ⁠outside the city, on Saturday and pledged “the most assertive possible use of our powers” in what they called their biggest public order operation in years.\\n\\n## Recommended Stories\\n\\nArmoured vehicles, horses, dogs, drones and helicopters were also deployed to manage the separate protest marches, the UK Metropolitan Police said.\\n\\nBy 1200 GMT, shortly after both marches started, police said they had made 11 arrests for a range of offences. They had earlier forecast ⁠turnout of at least 80,000 – about 50,000 at Robinson’s “Unite the Kingdom” march, and 30,000 more expected to go to the Nakba Day rally.\\n\\nAuthorities had imposed various conditions on the two rallies over their routes and timings, in a bid to keep rival attendees apart.\\n\\nProsecutors were told to consider whether certain protest placards or chants may amount to offences and stir up aggression during the rallies.\\n\\n“This is not about restricting free speech,” said the Crown Prosecution Service’s director, Stephen Parkinson. “It is about preventing hate crime and protecting the public, particularly at a time of heightened tensions.”\\n\\nThe police force, which estimates its operation will cost 4.5 million pounds ($6m), warned in a statement that it would adopt “a zero-tolerance approach”. That includes, for the first time, making organisers legally responsible for ensuring invited speakers do not break hate speech laws.\\n\\nThe British government earlier blocked 11 foreign nationals from entering the country for the “Unite the Kingdom” rally. Right-wing figures claiming to have been barred include Polish politician Dominik Tarczynski, Belgian politician Filip Dewinter, Colombian-American anti-Islam commentator Valentina Gomez and Dutch activist Eva Vlaardingerbroek.\\n\\nOn the eve of demonstrations, Prime Minister Keir Starmer warned: “Anyone who sets out to wreak havoc on our streets, to intimidate or threaten anyone … can expect to face the full force of the law.”\\n\\nStarmer – [facing intense pressure](/news/2026/5/12/starmer-to-face-split-cabinet-as-demands-for-his-resignation-mount) within his ruling Labour party to quit after far-right Reform UK scored huge wins in local elections last week – accused the organisers of Saturday’s far-right rally of “peddling hatred and division”.\\n\\nLast September, far-right activist Robinson – whose real name is Stephen Yaxley-Lennon – [drew about 110,000 people](/news/2025/9/13/over-100000-attend-london-rally-led-by-far-right-activist-tommy-robinson) into central London for a similar rally proclaiming “national unity, free speech and Christian values”.\\n\\nX owner Elon Musk addressed that event, which shocked many in the UK for its scale, directness, and clashes between participants and police, which injured dozens of officers.\\n\\nMeanwhile, the Stand Up to Racism group has combined its antifascism march with the pro-Palestine event to mark Nakba Day, held annually on March 15 to commemorate the 1948 mass expulsion of Palestinians from their land during the establishment of the state of Israel.\\n\\nThe Met said live facial recognition would be used for the first time to police the protests.\\n\\n### \\n\\n## \\n\\n## \\n\\n## \\n\\n### \\n\\n## \\n\\n## \\n\\n## \\n\\n### \\n\\n## \\n\\n## \\n\\n## \\n\\n## About\\n\\n## Connect\\n\\n## Our Channels\\n\\n## Our Network\\n\\nFollow Al Jazeera English:\\n\\n![Al Jazeera Media Network logo](/static/media/aj-footer-logo.bac952ad.svg)\",\n      \"error\": null\n    },\n    {\n      \"url\": \"https://www.express.co.uk/news/uk/2206508/tube-strikes-2026-london-underground-lines-affected/amp\",\n      \"title\": \"Tube strikes 2026: London Underground lines affected as ...\",\n      \"content\": \"# London Tube Strikes 2026: Key Information Summary\\n\\n## Strike Overview\\n\\nLondon Underground drivers (RMT members) are staging industrial action to protest TfL's proposed changes to working patterns. The dispute centers on a proposed **four-day working week** arrangement.\\n\\n## Background: The Dispute\\n\\n| Current Terms | TfL Proposal | Union Demand |\\n|---------------|--------------|--------------|\\n| 36 hours over 5 days | 35 hours over 4 days (one less paid lunch break) | 32 hours over 4 days |\\n\\n**Union's position:** The proposed changes would cause fatigue and negatively affect shift patterns.\\n\\n**TfL's position:** The 35-hour/4-day arrangement would be voluntary.\\n\\n---\\n\\n## Strike Dates\\n\\nTwo **24-hour walkouts** scheduled:\\n\\n- **Tuesday, May 19** — strike begins at 12pm\\n- **Thursday, May 21** — strike begins at 12pm\\n\\n*Note: Historically, Tube strikes have been cancelled at the last minute, but at time of writing, strikes are proceeding as planned.*\\n\\n---\\n\\n## Lines Affected\\n\\n### Most Severely Impacted\\nTwo lines face significantly reduced or no service due to higher proportion of RMT drivers:\\n\\n- **Metropolitan Line** — No service between Baker Street and Aldgate\\n- **Central Line** — No service between White City and Liverpool Street\\n\\n### General Impact\\n- Most of the Tube network expected to be affected at varying degrees\\n- Other Underground lines will have \\\"disruption to journeys\\\" with \\\"varying service levels throughout the week\\\"\\n\\n---\\n\\n## Alternative Services Running Normally\\n\\nDespite Tube disruptions, the following services will operate:\\n- ✅ Elizabeth Line\\n- ✅ DLR\\n- ✅ London Buses\\n- ✅ London Trams\\n- ✅ London Overground\\n\\n⚠️ **Warning:** These services will likely be **busier than normal** as they absorb displaced Tube passengers.\\n\\n---\\n\\n## Historical Context\\n\\n- **April 21–24, 2026:** Previous strikes caused major travel disruption across the capital, affecting both commuters and tourists\\n- Some lines were brought to a standstill during those strikes\\n\\n---\\n\\n## Future Strikes\\n\\nAdditional industrial action is planned for **June 2026**, though specific dates were not detailed in the article.\\n\\n---\\n\\n## TfL Advice for Passengers\\n\\n> \\\"Urge passengers to seek alternative routes and plan in advance\\\"\\n\\n---\\n\\n**Source:** Express.co.uk (published May 17, 2026)\",\n      \"error\": null\n    },\n    {\n      \"url\": \"https://www.theguardian.com/uk-news/2026/may/15/london-underground-tube-strikes-could-be-called-off-rmt-talks\",\n      \"title\": \"Hopes grow that London Underground strikes could be ...\",\n      \"content\": \"# Hopes Grow That London Underground Strikes Could Be Called Off\\n\\n## Overview\\n\\nThe RMT union has put out feelers for talks, raising hopes that next week's strikes by London Underground drivers could yet be averted. The union represents nearly half of London's Tube drivers.\\n\\n## Strike Details\\n\\n| Detail | Information |\\n|--------|-------------|\\n| **Duration** | Two 24-hour periods |\\n| **Start Times** | From midday on Tuesday and Thursday |\\n| **Dispute** | Planned four-day week working pattern |\\n| **Context** | Follows similar strikes in April, with more planned for June |\\n\\n## Lines and Services Affected\\n\\n### Fully Closed During Strikes\\n- **Circle line** — No service\\n- **Piccadilly line** — No service\\n- **Metropolitan line** — No service in Zone 1\\n- **Central line** — No service in Zone 1\\n\\n### Still Operating (Even During Strikes)\\n- Elizabeth line\\n- London Overground\\n- DLR\\n- Bus services\\n\\n## Key Developments\\n\\n**RMT Seeking Talks:**\\n> \\\"A source close to the dispute said that union representatives had now reached out to seek a deal, giving TfL a 'window of opportunity' to prevent further strikes.\\\"\\n\\n**RMT's Position:**\\n> \\\"It is clear TfL needs to move from its uncompromising position and make some new proposals that do not impose new working conditions that tube drivers will not accept.\\\"\\n\\n> \\\"An opportunity exists for the employer to do the right thing by Londoners and make a reasonable offer to the union.\\\"\\n\\nThe source added that tube drivers were prepared for a **long strike campaign of disruption**.\\n\\n## TfL Response\\n\\n**Claire Mann, TfL's chief operating officer:**\\n> \\\"It is disappointing that the RMT is planning this strike action despite our best efforts to resolve this dispute. We have been clear that our proposals for a four-day week are designed to improve work-life balance and are entirely voluntary.\\\"\\n\\n> \\\"A significant number of drivers have indicated that they want us to progress plans for the pilot of this new working pattern on the Bakerloo line, and it would deliver benefits both for our colleagues and our customers.\\\"\\n\\nTfL stated it was not too late for RMT to withdraw planned strike action, claiming union objections would be resolved with more detailed work.\\n\\n## April Strike Impact Data\\n\\n| Metric | Impact |\\n|--------|--------|\\n| **Overall TfL patronage drop** | 13-14% on most strike days |\\n| **Friday travel** | Approaching normal levels |\\n| **Lime bike hires** | ~20% above average |\\n| **Forest rush hour hires** | Up 35-50% |\\n| **Tube tap-ins (Tue-Thu)** | Down 42-48% |\\n| **Tube tap-ins (Friday)** | Down 31% |\\n| **Overall TfL travel (Friday)** | Down only 6% |\\n\\n**Key Insight:** Friday data suggests Londoners returned to the tube in the evening for leisure despite ongoing disruption, indicating adaptation to strike conditions.\\n\\n## Union Dynamics\\n\\n- **Aslef union** (represents slight majority of London Underground drivers) has **backed TfL's proposals** for a four-day week\\n- **RMT union** declined to comment\\n\\n## Passenger Advice\\n\\nTfL urging customers to:\\n- Plan ahead\\n- Expect significant disruption\\n- Expect early closures Tuesday/Thursday\\n- Expect late starts Wednesday/Friday\\n- Check before traveling\\n- Allow extra journey time\\n\\n---\\n\\n**Note:** No talks had taken place at time of publication, with neither TfL nor the union apparently willing to alter course before the strikes.\",\n      \"error\": null\n    }\n  ]\n}",
      "tool_call_id": "call_function_h1h5yw312nkn_1"
    },
    {
      "role": "tool",
      "name": "web_extract",
      "content": "{\n  \"results\": [\n    {\n      \"url\": \"https://www.youtube.com/watch?v=SzC2Ac0N3DI\",\n      \"title\": \"Xi Predicts 2026 as Landmark Year for U.S.–China Ties - YouTube\",\n      \"content\": \"# Trump-Xi Historic China Meeting: Xi Predicts 2026 as Landmark Year for U.S.–China Ties | NewsX\\n## NewsX Live\\n1590000 subscribers\\n8 likes\\n\\n### Description\\n2808 views\\nPosted: 14 May 2026\\nChinese President Xi Jinping said 2026 could become a “historic” and “landmark” year for China-U.S. relations, signaling hopes for improved engagement between the world’s two largest economies. \\n\\n#XiJinping #ChinaUSRelations #USChina #China #UnitedStates #Geopolitics\\n\\nTo Subscribe our YouTube channel \\\"NewsX\\\" click on the link below:-\\n\\nhttps://www.youtube.com/user/newsxlive/\\nWatch More Videos: https://www.youtube.com/user/newsxlive\\nFor More information on this News Visit: https://www.newsx.com/\\n\\n\\nWatch Live on https://www.newsx.com/live-tv/newsx-live-tv-watch-online-india-news/\\nLatest News Update:  https://www.newsx.com/\\nEntertainment News: https://www.newsxset.com/\\n\\nSocial Media Handles:- Follow us on Facebook, Twitter, Instagram\\n#NewsxLive #IndiaNews #EnglishNews\\nInstagram: https://www.instagram.com/newsxonline/ \\nFacebook: https://www.facebook.com/Newsxonline\\nTwitter: https://twitter.com/NewsX\\n\\n1 comments\\n### Transcript:\",\n      \"error\": null\n    }\n  ]\n}",
      "tool_call_id": "call_function_h1h5yw312nkn_2"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Now I have enough information to compile the briefing. Let me organize the data:\n\n**Date**: 2026年5月18日，星期一\n\n**重要新闻**:\n1. 习近平预测2026年将成为中美关系的\"历史性\"和\"里程碑\"年份，释放改善两国关系的积极信号\n2. 特朗普访问中国，与习近平会晤，中美关系出现新突破\n3. 英国首相斯塔默面临巨大压力，因右翼改革英国党在地方选举中大获全胜\n\n**艺术动态**:\n2026北京艺术季五月启幕，汇聚近20个国家、数百家艺术机构，推出超400场特色活动，以\"艺聚北京 和合万方\"为主题。\n\n**伦敦本地**:\n- TFL地铁罢工：有两场24小时罢工计划在5月19日（周二）和5月21日（周四）进行，但RMT工会已发出谈判信号，罢工可能被取消\n- 游行示威：数以万计的人在伦敦市中心游行，包括支持巴勒斯坦的纳克巴纪念日游行和由汤米·罗宾逊组织的右翼集会\"Unite the Kingdom\"，双方共超过8万人参与，警方部署了4000名警察维持秩序\n\n\n- 伦敦天气：阴天，气温八点一度，感觉像六点七度\n\n现在需要将所有数字转换为中文表述，确保日期、温度和百分比都符合中文表达习惯。整理后的广播文本应该是：坤哥，早上好！今天是二零二六年五月十八日，星期一。\n\n现在继续播报主要内容，包括三条重要新闻、北京艺术季的艺术动态、伦敦本地新闻（重点关注TFL地铁罢工和示威游行情况）以及伦敦的天气状况。\n\n最后需要使用text_to_speech工具生成中文语音播报，采用MiniMax的speech-02-hd模型和中文新闻主播的声音，然后保存为.ogg格式。",
      "finish_reason": "tool_calls",
      "reasoning_content": "Now I have enough information to compile the briefing. Let me organize the data:\n\n**Date**: 2026年5月18日，星期一\n\n**重要新闻**:\n1. 习近平预测2026年将成为中美关系的\"历史性\"和\"里程碑\"年份，释放改善两国关系的积极信号\n2. 特朗普访问中国，与习近平会晤，中美关系出现新突破\n3. 英国首相斯塔默面临巨大压力，因右翼改革英国党在地方选举中大获全胜\n\n**艺术动态**:\n2026北京艺术季五月启幕，汇聚近20个国家、数百家艺术机构，推出超400场特色活动，以\"艺聚北京 和合万方\"为主题。\n\n**伦敦本地**:\n- TFL地铁罢工：有两场24小时罢工计划在5月19日（周二）和5月21日（周四）进行，但RMT工会已发出谈判信号，罢工可能被取消\n- 游行示威：数以万计的人在伦敦市中心游行，包括支持巴勒斯坦的纳克巴纪念日游行和由汤米·罗宾逊组织的右翼集会\"Unite the Kingdom\"，双方共超过8万人参与，警方部署了4000名警察维持秩序\n\n\n- 伦敦天气：阴天，气温八点一度，感觉像六点七度\n\n现在需要将所有数字转换为中文表述，确保日期、温度和百分比都符合中文表达习惯。整理后的广播文本应该是：坤哥，早上好！今天是二零二六年五月十八日，星期一。\n\n现在继续播报主要内容，包括三条重要新闻、北京艺术季的艺术动态、伦敦本地新闻（重点关注TFL地铁罢工和示威游行情况）以及伦敦的天气状况。\n\n最后需要使用text_to_speech工具生成中文语音播报，采用MiniMax的speech-02-hd模型和中文新闻主播的声音，然后保存为.ogg格式。",
      "reasoning_details": [
        {
          "signature": "6b71c79709fced2e4e4430adea2f6bc2943607e5acfda653ba2847d526398024",
          "thinking": "Now I have enough information to compile the briefing. Let me organize the data:\n\n**Date**: 2026年5月18日，星期一\n\n**重要新闻**:\n1. 习近平预测2026年将成为中美关系的\"历史性\"和\"里程碑\"年份，释放改善两国关系的积极信号\n2. 特朗普访问中国，与习近平会晤，中美关系出现新突破\n3. 英国首相斯塔默面临巨大压力，因右翼改革英国党在地方选举中大获全胜\n\n**艺术动态**:\n2026北京艺术季五月启幕，汇聚近20个国家、数百家艺术机构，推出超400场特色活动，以\"艺聚北京 和合万方\"为主题。\n\n**伦敦本地**:\n- TFL地铁罢工：有两场24小时罢工计划在5月19日（周二）和5月21日（周四）进行，但RMT工会已发出谈判信号，罢工可能被取消\n- 游行示威：数以万计的人在伦敦市中心游行，包括支持巴勒斯坦的纳克巴纪念日游行和由汤米·罗宾逊组织的右翼集会\"Unite the Kingdom\"，双方共超过8万人参与，警方部署了4000名警察维持秩序\n\n\n- 伦敦天气：阴天，气温八点一度，感觉像六点七度\n\n现在需要将所有数字转换为中文表述，确保日期、温度和百分比都符合中文表达习惯。整理后的广播文本应该是：坤哥，早上好！今天是二零二六年五月十八日，星期一。\n\n现在继续播报主要内容，包括三条重要新闻、北京艺术季的艺术动态、伦敦本地新闻（重点关注TFL地铁罢工和示威游行情况）以及伦敦的天气状况。\n\n最后需要使用text_to_speech工具生成中文语音播报，采用MiniMax的speech-02-hd模型和中文新闻主播的声音，然后保存为.ogg格式。",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_y6s8btsm6hrd_1",
          "call_id": "call_function_y6s8btsm6hrd_1",
          "response_item_id": "fc_function_y6s8btsm6hrd_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"export $(grep MINIMAX_API_KEY /home/kuhnn/.hermes/.env | xargs)\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_y6s8btsm6hrd_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Good, the env is loaded. Now let me compose the briefing text and generate TTS.\n\nToday's date: 2026年5月18日 (Monday)\nWeather: Cloudy, 8.1°C → 八点一度 (or 八度一? Let me be precise: 8.1°C is 八点一度)\n\nActually for TTS: \"八点一度\" reads as \"8.1度\" - that should work. Or simpler: \"八度\" but it's 8.1 so approximately eight degrees.\n\nWait, the skill says: 18°C → 十八度. So for 8.1, I should say \"八点一度\". But that might sound like \"八点一度\" which could be misinterpreted. \n\nI need to handle decimals carefully - \"8.1\" converts to \"八点一\" and \"8度\" to \"八度\", but mixing them could confuse the TTS. Since the temperature is 8.1°C, I'll round to \"八度\" for simplicity, or be more precise with \"八点一度\" if needed.\n\nFor the briefing text, I'll write it out with Chinese numerals as specified, then pass it through text_to_speech with instructions to handle the temperature and other numbers correctly.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Good, the env is loaded. Now let me compose the briefing text and generate TTS.\n\nToday's date: 2026年5月18日 (Monday)\nWeather: Cloudy, 8.1°C → 八点一度 (or 八度一? Let me be precise: 8.1°C is 八点一度)\n\nActually for TTS: \"八点一度\" reads as \"8.1度\" - that should work. Or simpler: \"八度\" but it's 8.1 so approximately eight degrees.\n\nWait, the skill says: 18°C → 十八度. So for 8.1, I should say \"八点一度\". But that might sound like \"八点一度\" which could be misinterpreted. \n\nI need to handle decimals carefully - \"8.1\" converts to \"八点一\" and \"8度\" to \"八度\", but mixing them could confuse the TTS. Since the temperature is 8.1°C, I'll round to \"八度\" for simplicity, or be more precise with \"八点一度\" if needed.\n\nFor the briefing text, I'll write it out with Chinese numerals as specified, then pass it through text_to_speech with instructions to handle the temperature and other numbers correctly.",
      "reasoning_details": [
        {
          "signature": "655f89c5a84b3ff506fd7dbdc732a3797ae1d66211e0ae84c8856e63d36159d7",
          "thinking": "Good, the env is loaded. Now let me compose the briefing text and generate TTS.\n\nToday's date: 2026年5月18日 (Monday)\nWeather: Cloudy, 8.1°C → 八点一度 (or 八度一? Let me be precise: 8.1°C is 八点一度)\n\nActually for TTS: \"八点一度\" reads as \"8.1度\" - that should work. Or simpler: \"八度\" but it's 8.1 so approximately eight degrees.\n\nWait, the skill says: 18°C → 十八度. So for 8.1, I should say \"八点一度\". But that might sound like \"八点一度\" which could be misinterpreted. \n\nI need to handle decimals carefully - \"8.1\" converts to \"八点一\" and \"8度\" to \"八度\", but mixing them could confuse the TTS. Since the temperature is 8.1°C, I'll round to \"八度\" for simplicity, or be more precise with \"八点一度\" if needed.\n\nFor the briefing text, I'll write it out with Chinese numerals as specified, then pass it through text_to_speech with instructions to handle the temperature and other numbers correctly.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_9db0hc0vahuc_1",
          "call_id": "call_function_9db0hc0vahuc_1",
          "response_item_id": "fc_function_9db0hc0vahuc_1",
          "type": "function",
          "function": {
            "name": "text_to_speech",
            "arguments": "{\"text\": \"\\u5764\\u54e5\\uff0c\\u65e9\\u4e0a\\u597d\\uff01\\u4eca\\u5929\\u662f\\u4e8c\\u96f6\\u4e8c\\u516d\\u5e74\\u4e94\\u6708\\u5341\\u516b\\u65e5\\uff0c\\u661f\\u671f\\u4e00\\u3002\\n\\n\\u91cd\\u8981\\u65b0\\u95fb\\uff1a\\n\\u4e00\\uff0c\\u4e60\\u8fd1\\u5e73\\u8868\\u793a\\u4e8c\\u96f6\\u4e8c\\u516d\\u5e74\\u53ef\\u80fd\\u6210\\u4e3a\\u4e2d\\u7f8e\\u5173\\u7cfb\\u7684\\u91cc\\u7a0b\\u7891\\u5e74\\u4efd\\uff0c\\u4e3a\\u4e16\\u754c\\u4e24\\u5927\\u7ecf\\u6d4e\\u4f53\\u5173\\u7cfb\\u6539\\u5584\\u5e26\\u6765\\u5e0c\\u671b\\u3002\\n\\u4e8c\\uff0c\\u4f73\\u58eb\\u5f97\\u9999\\u6e2f\\u6625\\u62cd\\u603b\\u6210\\u4ea4\\u989d\\u8fbe\\u516d\\u70b9\\u4e94\\u516d\\u4ebf\\u6e2f\\u5143\\uff0c\\u540c\\u6bd4\\u5927\\u589e\\u767e\\u5206\\u4e4b\\u5341\\u4e03\\u70b9\\u4e03\\uff0c\\u6210\\u4ea4\\u7387\\u767e\\u5206\\u4e4b\\u767e\\u3002\\n\\u4e09\\uff0c\\u4e2d\\u56fd\\u827a\\u672f\\u54c1\\u62cd\\u5356\\u5e02\\u573a\\u5728\\u7ecf\\u5386\\u5927\\u5e45\\u4e0b\\u8dcc\\u540e\\u51fa\\u73b0\\u5206\\u5316\\u4fe1\\u53f7\\uff0c\\u9876\\u7ea7\\u7cbe\\u54c1\\u575a\\u633a\\uff0c\\u4e2d\\u4f4e\\u7aef\\u62cd\\u54c1\\u6d41\\u62cd\\u7387\\u8d85\\u767e\\u5206\\u4e4b\\u56db\\u5341\\u3002\\n\\n\\u827a\\u672f\\u52a8\\u6001\\uff1a\\n\\u4e8c\\u96f6\\u4e8c\\u516d\\u5e74\\u5317\\u4eac\\u827a\\u672f\\u5b63\\u4e94\\u6708\\u542f\\u5e55\\uff0c\\u6c47\\u805a\\u8fd1\\u4e8c\\u5341\\u4e2a\\u56fd\\u5bb6\\u3001\\u6570\\u767e\\u5bb6\\u827a\\u672f\\u673a\\u6784\\uff0c\\u63a8\\u51fa\\u8d85\\u56db\\u767e\\u573a\\u7279\\u8272\\u6d3b\\u52a8\\u3002\\n\\n\\u4f26\\u6566\\u672c\\u5730\\uff1a\\n\\u4e00\\uff0c\\u6709\\u5927\\u89c4\\u6a21\\u6e38\\u884c\\u793a\\u5a01\\u6d3b\\u52a8\\uff0c\\u6570\\u4e07\\u6c11\\u4f17\\u540c\\u65f6\\u53c2\\u4e0e\\u53f3\\u7ffc\\u96c6\\u4f1a\\u548c\\u58f0\\u63f4\\u5df4\\u52d2\\u65af\\u5766\\u6e38\\u884c\\uff0c\\u4f26\\u6566\\u8b66\\u65b9\\u90e8\\u7f72\\u56db\\u5343\\u8b66\\u529b\\u7ef4\\u6301\\u79e9\\u5e8f\\u3002\\n\\u4e8c\\uff0c\\u4f26\\u6566\\u5730\\u94c1\\u7f62\\u5de5\\u4ecd\\u5728\\u6301\\u7eed\\u53d1\\u9175\\uff0c\\u5de5\\u4f1a\\u5df2\\u53d1\\u51fa\\u8c08\\u5224\\u4fe1\\u53f7\\uff0c\\u4f46\\u76ee\\u524d\\u4ecd\\u672a\\u53d6\\u6d88\\uff0c\\u4e94\\u6708\\u5341\\u4e5d\\u65e5\\u548c\\u4e8c\\u5341\\u4e00\\u65e5\\u4ecd\\u5c06\\u5206\\u522b\\u4e3e\\u884c\\u4e8c\\u5341\\u56db\\u5c0f\\u65f6\\u7f62\\u5de5\\u3002\\n\\n\\u4f26\\u6566\\u5929\\u6c14\\uff1a\\u9634\\u5929\\uff0c\\u6c14\\u6e29\\u7ea6\\u516b\\u5ea6\\u3002\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "text_to_speech",
      "content": "{\"success\": true, \"file_path\": \"/home/kuhnn/.hermes/audio_cache/tts_20260518_061321.ogg\", \"media_tag\": \"[[audio_as_voice]]\\nMEDIA:/home/kuhnn/.hermes/audio_cache/tts_20260518_061321.ogg\", \"provider\": \"minimax\", \"voice_compatible\": true}",
      "tool_call_id": "call_function_9db0hc0vahuc_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Good, TTS generated successfully. Now I need to play it on local speakers at 80% volume.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Good, TTS generated successfully. Now I need to play it on local speakers at 80% volume.",
      "reasoning_details": [
        {
          "signature": "1a53caf8e3fd6824005c4b4613dff615c421e08049d15fbbd8f52a0ba4cd1af2",
          "thinking": "Good, TTS generated successfully. Now I need to play it on local speakers at 80% volume.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_dxdm7rgub8d1_1",
          "call_id": "call_function_dxdm7rgub8d1_1",
          "response_item_id": "fc_function_dxdm7rgub8d1_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"pactl set-sink-volume alsa_output.pci-0000_00_1f.3.analog-stereo 80%\\npactl set-sink-mute alsa_output.pci-0000_00_1f.3.analog-stereo false\\nffplay -nodisp -autoexit -volume 80 /home/kuhnn/.hermes/audio_cache/tts_20260518_061321.ogg &\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"Foreground command uses '&' backgrounding. Use terminal(background=true) for long-lived processes, then run health checks and tests in follow-up terminal calls.\", \"status\": \"error\"}",
      "tool_call_id": "call_function_dxdm7rgub8d1_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Let me use background=true for the ffplay command.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Let me use background=true for the ffplay command.",
      "reasoning_details": [
        {
          "signature": "91090ff07128d4c375066306c4ccd4ecb58c632fabd140147748a5517a5a1ea3",
          "thinking": "Let me use background=true for the ffplay command.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_ptxc02bm3kr4_1",
          "call_id": "call_function_ptxc02bm3kr4_1",
          "response_item_id": "fc_function_ptxc02bm3kr4_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"pactl set-sink-volume alsa_output.pci-0000_00_1f.3.analog-stereo 80% && pactl set-sink-mute alsa_output.pci-0000_00_1f.3.analog-stereo false\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_ptxc02bm3kr4_1"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "Good, volume set. Now let me play the audio in background.",
      "finish_reason": "tool_calls",
      "reasoning_content": "Good, volume set. Now let me play the audio in background.",
      "reasoning_details": [
        {
          "signature": "61d18e4f041744a8d2f049c4eec2f1cfe09f30c27b5be7b9d5e2827782c757e7",
          "thinking": "Good, volume set. Now let me play the audio in background.",
          "type": "thinking"
        }
      ],
      "tool_calls": [
        {
          "id": "call_function_r094bw60h1pw_1",
          "call_id": "call_function_r094bw60h1pw_1",
          "response_item_id": "fc_function_r094bw60h1pw_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"ffplay -nodisp -autoexit -volume 80 /home/kuhnn/.hermes/audio_cache/tts_20260518_061321.ogg\", \"background\": true, \"notify_on_complete\": true}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"Background process started\", \"session_id\": \"proc_5bafff2cec72\", \"pid\": 45649, \"exit_code\": 0, \"error\": null, \"notify_on_complete\": true}",
      "tool_call_id": "call_function_r094bw60h1pw_1"
    },
    {
      "role": "assistant",
      "content": "坤哥，早上好！今天是二零二六年五月十八日，星期一。\n\n重要新闻：\n一，习近平表示二零二六年可能成为中美关系的里程碑年份，为世界两大经济体关系改善带来希望。\n二，佳士得香港春拍总成交额达六点五六亿港元，同比大增百分之十七点七，成交率百分之百。\n三，中国艺术品拍卖市场在经历大幅下跌后出现分化信号，顶级精品坚挺，中低端拍品流拍率超百分之四十。\n\n艺术动态：\n二零二六年北京艺术季五月启幕，汇聚近二十个国家、数百家艺术机构，推出超四百场特色活动。\n\n伦敦本地：\n一，有大规模游行示威活动，数万民众同时参与右翼集会和声援巴勒斯坦游行，伦敦警方部署四千警力维持秩序。\n二，伦敦地铁罢工仍在持续发酵，工会已发出谈判信号，但目前仍未取消，五月十九日和二十一日仍将分别举行二十四小时罢工。\n\n伦敦天气：阴天，气温约八度。\n\nMEDIA:/home/kuhnn/.hermes/audio_cache/tts_20260518_061321.ogg",
      "reasoning": "Done. Let me compile the final report. The audio is playing and will be delivered to Telegram via the cron job.",
      "finish_reason": "stop",
      "reasoning_content": "Done. Let me compile the final report. The audio is playing and will be delivered to Telegram via the cron job.",
      "reasoning_details": [
        {
          "signature": "8027a24d9f8685fa321ba837d34ab15a590bff76d96bb5489997f0a917044902",
          "thinking": "Done. Let me compile the final report. The audio is playing and will be delivered to Telegram via the cron job.",
          "type": "thinking"
        }
      ]
    }
  ]
}