{
"session_id": "20260519_004603_9ad3b1",
"model": "MiniMax-M2.7",
"base_url": "https://api.minimaxi.com/anthropic",
"platform": "cli",
"session_start": "2026-05-19T00:46:03.474264",
"last_updated": "2026-05-19T04:27:36.406477",
"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\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n - minimax-token-plan-api: MiniMax Token Plan 年度/月度套餐 API 调用规则、端点、错误码和配置指南\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - minimax-search: MiniMax Token Plan 网络搜索 - 当需要搜索中文内容、中国相关主题，或 Tavily 不可用时使用\n - morning-briefing: Daily morning voice briefing via Telegram — searches news...\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.8.0-117-generic)\nUser home directory: /home/kuhnn\nCurrent working directory: /home/kuhnn\n\nYou are a CLI AI Agent. Try not to use markdown but simple text renderable inside a terminal. File delivery: there is no attachment channel — the user reads your response directly in their terminal. Do NOT emit MEDIA:/path tags (those are only intercepted on messaging platforms like Telegram, Discord, Slack, etc.; on the CLI they render as literal text). When referring to a file you created or changed, just state its absolute path in plain text; the user can open it from there.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [40% — 892/2,200 chars]\n══════════════════════════════════════════════\nMiniMax Token Plan: 国际版 Key = sk-cp-BdZ..., provider = minimax-cn, base_url = https://api.minimaxi.com/anthropic。Text Chat 正常。TTS 2056 = 配额耗尽（国际版 Hs_plus 5h 窗口 vs 国内 Plus极速版 每日4000字符，是两套不同体系）。Key 类型：Token Plan Key（套餐配给）vs 计费 Key（余额制）。\n§\nMiniMax 用户购买的是中国大陆 **Plus极速版**（非国际版 Hs_plus）。国际版 Token Plan Key 已配置（Text Chat 正常），TTS 因配额体系不匹配仍报 2056。两套平台 Key 不通用：api.minimaxi.com（国际）vs api.minimax.cn（国内）。TTS 需从国内官网获取 Plus极速版专属 Key。\n§\n**MiniMax Plus 极速版配额（已确认）：** M2.7-highspeed: 1,500次/5小时；Speech 2.8 TTS: 9,000字符/日；image-01: 100张/日；Music-2.6: 100首/天（≤5分钟）。\n§\n**图片/音乐 API 认证方式：** 图片生成和音乐生成需要 `?GroupId=` 查询参数，文本对话和 TTS 不需要。缺少 GroupId 返回 1004。所有 API 共用同一个 Token Plan Key（sk-cp-xxx），无需换 Key。\n§\n用户偏好中文语言，要求回复用中文。\n§\nCron TTS 更新（2026-05-18）：cron 环境无环境变量继承，MINIMAX_API_KEY 在 cron 里无效。改用本地 Piper（~/bin/tts_briefing.sh）替代 MiniMax TTS。piper: ~/.local/bin/piper，模型: csukuangfj/vits-piper-zh_CN-huayan-medium。\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [88% — 1,218/1,375 chars]\n══════════════════════════════════════════════\n_Learn about the person you're helping. Update this as you go._\n§\n**Name:**\n§\n**What to call them:**\n§\n**Pronouns:** _(optional)_\n§\n**Timezone:**\n§\n**Notes:**\n§\nContext: _(What do they care about? What projects are they working on? What annoys them? What makes them laugh? Build this over time.)_\n§\nContext: ---\n§\nContext: The more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n§\nK.W. prefers Chinese. Migrated from OpenClaw to Hermes (MiniMax-M2.7). Gateway + Telegram working. Telegram ID 7862937585. Simple solutions > complex setups.\n§\nK. W. prefers Chinese. Migrated from OpenClaw (GPT-5.4/Codex) to Hermes (MiniMax-M2.7). Has Synology Drive backups. Interested in private bot access control and Telegram command menus. Telegram ID 7862937585. Gateway running with allowed_users=7862937585.\n§\nSearch: Tavily API (tvly-dev-...) migrated from OpenClaw, still valid. web.search_backend=tavily in Hermes.\n\nMorning briefing: Cron \"morning-briefing\" (18c46fde1520) created — 9 AM daily, MiniMax TTS voice, replaces OpenClaw's sherpa-onnx workflow.\n\nMiniMax 年计划，1500次/5小时限制。\n§\nUser prefers Chinese language, asked to respond in Chinese.\n\nConversation started: Tuesday, May 19, 2026 12:46 AM\nModel: MiniMax-M2.7\nProvider: minimax-cn",
"tools": [
{
"type": "function",
"function": {
"name": "browser_back",
"description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_click",
"description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
}
},
"required": [
"ref"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_console",
"description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
"parameters": {
"type": "object",
"properties": {
"clear": {
"type": "boolean",
"default": false,
"description": "If true, clear the message buffers after reading"
},
"expression": {
"type": "string",
"description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_get_images",
"description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_navigate",
"description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to navigate to (e.g., 'https://example.com')"
}
},
"required": [
"url"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_press",
"description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
}
},
"required": [
"key"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_scroll",
"description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"direction": {
"type": "string",
"enum": [
"up",
"down"
],
"description": "Direction to scroll"
}
},
"required": [
"direction"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_snapshot",
"description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
"parameters": {
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_type",
"description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e3')"
},
"text": {
"type": "string",
"description": "The text to type into the field"
}
},
"required": [
"ref",
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_vision",
"description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "What you want to know about the page visually. Be specific about what you're looking for."
},
"annotate": {
"type": "boolean",
"default": false,
"description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "clarify",
"description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to present to the user."
},
"choices": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 4,
"description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "cronjob",
"description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"description": "One of: create, list, update, pause, resume, remove, run"
},
"job_id": {
"type": "string",
"description": "Required for update/pause/resume/remove/run"
},
"prompt": {
"type": "string",
"description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
},
"schedule": {
"type": "string",
"description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
},
"name": {
"type": "string",
"description": "Optional human-friendly name"
},
"repeat": {
"type": "integer",
"description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
},
"deliver": {
"type": "string",
"description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
},
"skills": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
},
"model": {
"type": "object",
"description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
"properties": {
"provider": {
"type": "string",
"description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
},
"model": {
"type": "string",
"description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
}
},
"required": [
"model"
]
},
"script": {
"type": "string",
"description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
},
"no_agent": {
"type": "boolean",
"default": false,
"description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
},
"context_from": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
},
"enabled_toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
},
"workdir": {
"type": "string",
"description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "delegate_task",
"description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
"parameters": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
},
"context": {
"type": "string",
"description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
},
"tasks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "Task goal"
},
"context": {
"type": "string",
"description": "Task-specific context"
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
},
"acp_command": {
"type": "string",
"description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Per-task ACP args override. Leave empty unless acp_command is set."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Per-task role override. See top-level 'role' for semantics."
}
},
"required": [
"goal"
]
},
"description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
},
"acp_command": {
"type": "string",
"description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "execute_code",
"description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
}
},
"required": [
"code"
]
}
}
},
{
"type": "function",
"function": {
"name": "memory",
"description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"add",
"replace",
"remove"
],
"description": "The action to perform."
},
"target": {
"type": "string",
"enum": [
"memory",
"user"
],
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
},
"content": {
"type": "string",
"description": "The entry content. Required for 'add' and 'replace'."
},
"old_text": {
"type": "string",
"description": "Short unique substring identifying the entry to replace or remove."
}
},
"required": [
"action",
"target"
]
}
}
},
{
"type": "function",
"function": {
"name": "patch",
"description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
"default": "replace"
},
"path": {
"type": "string",
"description": "REQUIRED when mode='replace'. File path to edit."
},
"old_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "Replace all occurrences instead of requiring a unique match (default: false)",
"default": false
},
"patch": {
"type": "string",
"description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
}
},
"required": [
"mode"
]
}
}
},
{
"type": "function",
"function": {
"name": "process",
"description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"list",
"poll",
"log",
"wait",
"kill",
"write",
"submit",
"close"
],
"description": "Action to perform on background processes"
},
"session_id": {
"type": "string",
"description": "Process session ID (from terminal background output). Required for all actions except 'list'."
},
"data": {
"type": "string",
"description": "Text to send to process stdin (for 'write' and 'submit' actions)"
},
"timeout": {
"type": "integer",
"description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
"minimum": 1
},
"offset": {
"type": "integer",
"description": "Line offset for 'log' action (default: last 200 lines)"
},
"limit": {
"type": "integer",
"description": "Max lines to return for 'log' action",
"minimum": 1
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to read (absolute, relative, or ~/path)"
},
"offset": {
"type": "integer",
"description": "Line number to start reading from (1-indexed, default: 1)",
"default": 1,
"minimum": 1
},
"limit": {
"type": "integer",
"description": "Maximum number of lines to read (default: 500, max: 2000)",
"default": 500,
"maximum": 2000
}
},
"required": [
"path"
]
}
}
},
{
"type": "function",
"function": {
"name": "search_files",
"description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
"parameters": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
},
"target": {
"type": "string",
"enum": [
"content",
"files"
],
"description": "'content' searches inside file contents, 'files' searches for files by name",
"default": "content"
},
"path": {
"type": "string",
"description": "Directory or file to search in (default: current working directory)",
"default": "."
},
"file_glob": {
"type": "string",
"description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return (default: 50)",
"default": 50
},
"offset": {
"type": "integer",
"description": "Skip first N results for pagination (default: 0)",
"default": 0
},
"output_mode": {
"type": "string",
"enum": [
"content",
"files_only",
"count"
],
"description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
"default": "content"
},
"context": {
"type": "integer",
"description": "Number of context lines before and after each match (grep mode only)",
"default": 0
}
},
"required": [
"pattern"
]
}
}
},
{
"type": "function",
"function": {
"name": "send_message",
"description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"send",
"list"
],
"description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
},
"target": {
"type": "string",
"description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)"
},
"message": {
"type": "string",
"description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "session_search",
"description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
},
"role_filter": {
"type": "string",
"description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
},
"limit": {
"type": "integer",
"description": "Max sessions to summarize (default: 3, max: 5).",
"default": 3
}
}
}
}
},
{
"type": "function",
"function": {
"name": "skill_manage",
"description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` 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 `. 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.), 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/.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": "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": "我现在需要配置chatgpt,之前存档的未完成任务。"
},
{
"role": "assistant",
"content": "我来找一下之前关于 ChatGPT 配置的记录。",
"reasoning": "用户提到需要配置 ChatGPT，这是之前存档的未完成任务。我需要先查看之前的会话记录，了解之前关于 ChatGPT 配置的具体情况。让我先搜索相关记忆。",
"finish_reason": "tool_calls",
"reasoning_content": "用户提到需要配置 ChatGPT，这是之前存档的未完成任务。我需要先查看之前的会话记录，了解之前关于 ChatGPT 配置的具体情况。让我先搜索相关记忆。",
"reasoning_details": [
{
"signature": "9e49cc90d82bd57ff9db31620d8b9eafb12721477aa463a96a25dfbfb67b4580",
"thinking": "用户提到需要配置 ChatGPT，这是之前存档的未完成任务。我需要先查看之前的会话记录，了解之前关于 ChatGPT 配置的具体情况。让我先搜索相关记忆。",
"type": "thinking"
}
],
"tool_calls": [
{
"id": "call_function_b4jgqmbhczab_1",
"call_id": "call_function_b4jgqmbhczab_1",
"response_item_id": "fc_function_b4jgqmbhczab_1",
"type": "function",
"function": {
"name": "session_search",
"arguments": "{\"query\": \"ChatGPT \\u914d\\u7f6e\", \"limit\": 5}"
}
}
]
},
{
"role": "tool",
"name": "session_search",
"content": "{\"success\": true, \"query\": \"ChatGPT 配置\", \"results\": [{\"session_id\": \"20260518_174244_6100a8d0\", \"when\": \"May 18, 2026 at 05:42 PM\", \"source\": \"telegram\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 会话摘要：ChatGPT 配置\\n\\n### 用户需求\\n用户从 OpenClaw 迁移到 Hermes，需要配置 ChatGPT 相关的视觉（vision）功能，因为 MiniMax-M2.7 的图片理解有问题。\\n\\n### 已执行的操作\\n1. **分析源码** — 检查 `auxiliary_client.py` 和 `vision_tools.py`，发现 `vision_analyze` 走 auxiliary client 路径，MiniMax M2.7 的 `/anthropic/v1/messages` 接口在 tool result 中传递图片时不支持\\n2. **搜索 MiniMax 文档** — 发现 MiniMax M2.7 的图片理解是通过 Token Plan MCP 的 `understand_image` 工具实现，而非主 API\\n3. **修改配置** — 将 `config.yaml` 中 `auxiliary.vision` 从 `provider: auto` 改为 `provider: openai / model: gpt-4o`（但 api_key 为空）\\n4. **查找 OpenClaw 迁移数据** — 检查 `~/.openclaw/agents/main/agent/auth-profiles.json`，发现存在 `openai-codex:default` OAuth 配置，但这是 OAuth 会话认证而非 API Key\\n\\n### 关键发现\\n- 用户之前的 OpenClaw 使用的是 **OpenAI Codex OAuth** (`openai-codex/gpt-5.4`)，不是独立 API Key\\n- `openai-codex:default` profile 包含 OAuth access token 和 refresh token（已过期）\\n- Hermes 配置中目前没有可用的 OpenAI API Key\\n\\n### 待解决\\n用户需要去 https://platform.openai.com/api-keys 创建或获取一个 API Key（ChatGPT Plus 订阅 ≠ API Key，需单独创建）。Key 格式为 `sk-...`。\"}, {\"session_id\": \"20260518_154127_b7d75857\", \"when\": \"May 18, 2026 at 03:41 PM\", \"source\": \"telegram\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 对话摘要\\n\\n**主题（实际）**: n8n 教程学习计划创建（非 ChatGPT 配置）\\n\\n### 用户请求\\n用户希望找到实用易懂的 n8n 教程，制作学习计划并保存到 Synology 的文件夹中。\\n\\n### 执行操作\\n1. **网络搜索** - 搜索了 n8n 中文教程资源，找到多个优质来源：\\n - n8n 中文社区 (n8n.akashio.com)\\n - Jimmy Song 的 n8n 入门教程\\n - YouTube 视频教程\\n - 知乎文章\\n\\n2. **终端探索** - 探索了 Synology Drive 目录结构，确认用户使用 `/home/kuhnn/SynologyDrive/` 路径\\n\\n3. **澄清确认** - 向用户确认文件夹位置，用户表示直接在 SynologyDrive 下新建 \\\"n8n教程\\\" 文件夹即可\\n\\n4. **内容提取** - 从 n8n 中文社区和 Jimmy Song 教程网站提取了详细的教程内容\\n\\n5. **文件创建** - 生成了完整的 5 阶段 30 天学习计划，保存至：\\n ```\\n ~/SynologyDrive/n8n教程/n8n学习计划.md\\n ```\\n\\n### 学习计划内容\\n- **第1周**: 入门 + 界面熟悉\\n- **第2周**: 核心节点（条件/循环/数据处理）\\n- **第3周**: 实战案例（天气推送、表单存档、Telegram Bot 等）\\n- **第4周**: 部署 + 运维 + 备份\\n\\n### 备注\\n会话标题显示\\\"ChatGPT 配置\\\"，但实际对话内容与 ChatGPT 配置无关，是关于 n8n 自动化工具的学习计划创建。\"}, {\"session_id\": \"20260518_150933_0157a290\", \"when\": \"May 18, 2026 at 03:09 PM\", \"source\": \"telegram\", \"model\": \"MiniMax-M2.7\", \"summary\": \"**Summary of Conversation — May 18, 2026, 15:09**\\n\\n**Topic:** Tailscale 服务状态检查与 Funnel 外网访问修复（非 ChatGPT 配置）\\n\\n**User Request:**\\n用户要求检查设备运行状态，重点查看 tailscaled 服务。\\n\\n**Actions & Outcomes:**\\n\\n1. **检查 Tailscale 运行状态**\\n - 确认 tailscaled 运行在 `userspace-networking` 模式\\n - PID: 94182（后重启为 100374）\\n - Socket 路径: `/tmp/tailscaled.sock`（非标准路径）\\n - Tailscale IP: `100.96.60.110`\\n - 节点名: `kuhnn-lenovo-ideapad-710s-13isk.tail95fef0.ts.net`\\n - 账户: `iwskun@gmail.com`\\n\\n2. **重启 Tailscale 服务**\\n - 使用 `pkill tailscaled` 停止旧进程\\n - 后台启动新实例，状态正常\\n\\n3. **诊断外网访问问题**\\n - `https://kuhnn-lenovo-ideapad-710s-13isk.tail95fef0.ts.net` 无法访问\\n - `89.39.139.202:59846` 无法连接\\n - Funnel 配置存在（443 → localhost:5679）\\n - 根因：`systemd-resolved` 不认识 `.ts.net` 域名，导致 DNS 解析失败\\n\\n4. **解决方案（未执行，需 sudo 权限）**\\n ```bash\\n sudo resolvectl dns tailscale0 100.100.100.100\\n sudo resolvectl domain tailscale0 tail95fef0.ts.net\\n # 然后重启 systemd-resolved\\n ```\\n\\n5. **创建 Cron 任务**\\n - Job ID: `d80e27fb6e52`\\n - 明天 10:00 自动继续修复\\n - 仍需用户手动授权 sudo 密码\\n\\n6. **关闭 Tailscale**\\n - 执行 `pkill tailscaled` 停止服务\\n\\n**Key Technical Details:**\\n- 运行模式：`userspace-networking`（无真实 TUN 接口）\\n- Funnel 能力已启用（443 端口可用）\\n- PeerAPI 监听: `http://100.96.60.110:42898`\\n- 目标服务: `localhost:5679`\\n- DNS 后缀: `tail95fef0.ts.net`\\n- DERP 最近节点: London (9.1ms)\\n\\n**Unresolved:**\\n- DNS 转发配置待手动执行\\n- 外网访问问题待明天 Cron 任务继续\"}, {\"session_id\": \"20260518_041517_bc1f07e7\", \"when\": \"May 18, 2026 at 04:15 AM\", \"source\": \"telegram\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 会话总结：ChatGPT 配置 - 每日播报 Skill 优化\\n\\n### 1. 用户需求\\n测试并优化每日早晨播报 Skill（morning-briefing），提升 TTS 语音质量，并增加本地喇叭自动播放功能。\\n\\n### 2. 采取的行动\\n\\n**TTS 问题排查：**\\n- 发现 cron job 运行环境缺少 `MINIMAX_API_KEY`（session 有，但 cron 无），导致 MiniMax TTS 失败\\n- Piper 作为 fallback 存在但质量差（停顿机械、语调平板）\\n- Cron job 未加载 skill（`skills: []`）\\n\\n**本地 Piper TTS 搭建：**\\n- 检查已装 TTS 组件：espeak-ng 数据包有但缺二进制、speech-dispatcher 已安装\\n- 尝试 Coqui TTS → PyTorch 下载 2GB+ 超时失败\\n- 成功安装 piper-tts（pip）和 HuggingFace 模型 `csukuangfj/vits-piper-zh_CN-huayan-medium`\\n- 编写 `/home/kuhnn/bin/tts_briefing.sh` 本地 TTS 脚本\\n\\n**MiniMax TTS 优化（最终方案）：**\\n- 将 cron job 关联到 `morning-briefing` skill（`skill: morning-briefing`）\\n- 更新 SKILL.md：MiniMax 优先，Piper fallback\\n- Cron 现在能正确使用 MiniMax TTS，音质明显优于 Piper\\n\\n**新增功能：**\\n- 内容增加艺术行业新闻（web_search \\\"艺术行业新闻 中国\\\"）\\n- 本地喇叭播放：使用 `pactl` 调音量 80% + `ffplay` 播放音频\\n\\n### 3. 关键配置\\n\\n| 项目 | 配置 |\\n|------|------|\\n| Cron Job ID | `18c46fde1520` |\\n| Schedule | `0 9 * * *` (每天 09:00 BST) |\\n| TTS 优先级 | MiniMax (speech-02-hd) > Piper (离线备用) |\\n| 本地播放 | `pactl set-sink-volume 80%` + `ffplay -volume 80` |\\n| Audio output | `/home/kuhnn/.hermes/audio_cache/tts_YYYYMMDD_HHMMSS.ogg` |\\n| Skill 路径 | `/home/kuhnn/.hermes/skills/productivity/morning-briefing/SKILL.md` |\\n\\n### 4. 已解决\\n- ✅ Cron 环境变量注入问题（通过 skill 关联）\\n- ✅ MiniMax TTS 质量确认（1.1MB 高质量音频 vs Piper 385KB 机械音）\\n- ✅ 本地喇叭 80% 音量播放测试通过\\n- ✅ 艺术新闻已整合进播报\\n\\n### 5. 未完全解决\\n- ⚠️ Piper fallback 逻辑尚未完全集成进 cron prompt（目前 cron 优先 MiniMax，配额用完后需确认 fallback 是否自动触发）\"}, {\"session_id\": \"20260518_035307_d35fd7\", \"when\": \"May 18, 2026 at 03:53 AM\", \"source\": \"cli\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## Conversation Summary\\n\\n### What Happened\\n1. **User Input**: The user sent a simple \\\"Hello\\\" greeting.\\n2. **Assistant Response**: The assistant responded with \\\"Hello! How can I help you today?\\\"\\n\\n### Focus Topic: ChatGPT 配置 (ChatGPT Configuration)\\n- **No actual discussion** about ChatGPT configuration occurred in this conversation.\\n- The only exchange was a greeting - no questions were asked, no tasks were requested, and no technical issues were discussed.\\n\\n### Conclusion\\nThis was an initial greeting exchange with no substantive content or actions taken. The conversation ended after the greeting, leaving the user's actual needs or questions unknown. If you intended to discuss or configure ChatGPT settings, please clarify what you need assistance with.\"}], \"count\": 5, \"sessions_searched\": 5}",
"tool_call_id": "call_function_b4jgqmbhczab_1"
},
{
"role": "assistant",
"content": "找到了。上次会话（5月18日 17:42）的待解决项：\n\n**情况：**\n- 配置了 `auxiliary.vision: provider: openai / model: gpt-4o`\n- 但 `api_key` 是空的\n- 你之前 OpenClaw 用的是 OpenAI Codex **OAuth**（不是 API Key），所以没有现成的 `sk-...` Key\n\n**需要你做的：**\n去 https://platform.openai.com/api-keys 创建一个 API Key（ChatGPT Plus 订阅 ≠ API Key，需单独创建）。\n\n创建好后，把 Key 发给我，我来填入配置。\n\n或者你想让我先看一下当前 config.yaml 的状态？",
"reasoning": "From the session search, I can see that the main ChatGPT configuration task was discussed on May 18, 2026 at 05:42 PM. The key findings were:\n\n1. User migrated from OpenClaw to Hermes\n2. They wanted to configure ChatGPT vision capabilities because MiniMax-M2.7 has issues with image understanding\n3. The `auxiliary.vision` was changed from `provider: auto` to `provider: openai / model: gpt-4o` but the api_key is empty\n4. User's previous OpenClaw used **OpenAI Codex OAuth** (`openai-codex/gpt-5.4`), not a separate API Key\n5. The `openai-codex:default` profile has OAuth access token and refresh token (expired)\n6. **Key action needed**: User needs to go to https://platform.openai.com/api-keys to create or get an API Key\n\nSo the unfinished task is: User needs to provide an OpenAI API Key to use ChatGPT (GPT-4o) for vision capabilities.\n\nLet me ask the user for the API Key or check the current config state.",
"finish_reason": "stop",
"reasoning_content": "From the session search, I can see that the main ChatGPT configuration task was discussed on May 18, 2026 at 05:42 PM. The key findings were:\n\n1. User migrated from OpenClaw to Hermes\n2. They wanted to configure ChatGPT vision capabilities because MiniMax-M2.7 has issues with image understanding\n3. The `auxiliary.vision` was changed from `provider: auto` to `provider: openai / model: gpt-4o` but the api_key is empty\n4. User's previous OpenClaw used **OpenAI Codex OAuth** (`openai-codex/gpt-5.4`), not a separate API Key\n5. The `openai-codex:default` profile has OAuth access token and refresh token (expired)\n6. **Key action needed**: User needs to go to https://platform.openai.com/api-keys to create or get an API Key\n\nSo the unfinished task is: User needs to provide an OpenAI API Key to use ChatGPT (GPT-4o) for vision capabilities.\n\nLet me ask the user for the API Key or check the current config state.",
"reasoning_details": [
{
"signature": "5f27d5a992276d5141596721f282b1052197b49a4e9ad3fe15afe54b1b05f755",
"thinking": "From the session search, I can see that the main ChatGPT configuration task was discussed on May 18, 2026 at 05:42 PM. The key findings were:\n\n1. User migrated from OpenClaw to Hermes\n2. They wanted to configure ChatGPT vision capabilities because MiniMax-M2.7 has issues with image understanding\n3. The `auxiliary.vision` was changed from `provider: auto` to `provider: openai / model: gpt-4o` but the api_key is empty\n4. User's previous OpenClaw used **OpenAI Codex OAuth** (`openai-codex/gpt-5.4`), not a separate API Key\n5. The `openai-codex:default` profile has OAuth access token and refresh token (expired)\n6. **Key action needed**: User needs to go to https://platform.openai.com/api-keys to create or get an API Key\n\nSo the unfinished task is: User needs to provide an OpenAI API Key to use ChatGPT (GPT-4o) for vision capabilities.\n\nLet me ask the user for the API Key or check the current config state.",
"type": "thinking"
}
]
},
{
"role": "user",
"content": "可以使用oauth吗"
},
{
"role": "assistant",
"content": "好问题。让我查一下 Hermes 对 OpenAI OAuth 的支持情况。",
"reasoning": "The user is asking if OAuth can be used. Let me think about this - in the previous session, we found that the OpenClaw config had `openai-codex:default` OAuth configuration with access/refresh tokens. But OAuth for OpenAI API access typically requires user interaction to authorize, which doesn't work well for CLI/automated setups.\n\nLet me search_files for more details about OAuth support in Hermes, or check what authentication methods are supported.\n\nActually, let me first check the Hermes config to understand what auth options are available for OpenAI.",
"finish_reason": "tool_calls",
"reasoning_content": "The user is asking if OAuth can be used. Let me think about this - in the previous session, we found that the OpenClaw config had `openai-codex:default` OAuth configuration with access/refresh tokens. But OAuth for OpenAI API access typically requires user interaction to authorize, which doesn't work well for CLI/automated setups.\n\nLet me search_files for more details about OAuth support in Hermes, or check what authentication methods are supported.\n\nActually, let me first check the Hermes config to understand what auth options are available for OpenAI.",
"reasoning_details": [
{
"signature": "bf12716af4339e5cfdc42b0d72282c32a3301d393cb394c66434633bccfaad87",
"thinking": "The user is asking if OAuth can be used. Let me think about this - in the previous session, we found that the OpenClaw config had `openai-codex:default` OAuth configuration with access/refresh tokens. But OAuth for OpenAI API access typically requires user interaction to authorize, which doesn't work well for CLI/automated setups.\n\nLet me search_files for more details about OAuth support in Hermes, or check what authentication methods are supported.\n\nActually, let me first check the Hermes config to understand what auth options are available for OpenAI.",
"type": "thinking"
}
],
"tool_calls": [
{
"id": "call_function_7urtev7s0m60_1",
"call_id": "call_function_7urtev7s0m60_1",
"response_item_id": "fc_function_7urtev7s0m60_1",
"type": "function",
"function": {
"name": "search_files",
"arguments": "{\"pattern\": \"oauth|OAuth|OAUTH\", \"path\": \"~/.hermes\"}"
}
},
{
"id": "call_function_7urtev7s0m60_2",
"call_id": "call_function_7urtev7s0m60_2",
"response_item_id": "fc_function_7urtev7s0m60_2",
"type": "function",
"function": {
"name": "search_files",
"arguments": "{\"pattern\": \"openai.*auth|auth.*openai\", \"path\": \"~/.hermes\"}"
}
}
]
},
{
"role": "tool",
"name": "search_files",
"content": "{\"total_count\": 50, \"matches\": [{\"path\": \"/home/kuhnn/.hermes/config.yaml.bak.20260518_001723\", \"line\": 16, \"content\": \" # \\\"nous\\\" - Nous Portal OAuth (requires: hermes login)\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml.bak.20260518_001723\", \"line\": 417, \"content\": \"# \\\"codex\\\" - Force Codex OAuth (requires: hermes model → Codex).\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml.bak.20260518_001723\", \"line\": 421, \"content\": \"# endpoint. Also falls back to Codex OAuth and API-key providers.\"}, {\"path\": \"/home/kuhnn/.hermes/logs/agent.log\", \"line\": 5281, \"content\": \"2026-05-19 00:48:02,141 INFO [20260519_004603_9ad3b1] agent.conversation_loop: conversation turn: session=20260519_004603_9ad3b1 model=MiniMax-M2.7 provider=minimax-cn platform=cli history=4 msg='可以使用oauth吗'\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 5, \"content\": \"> The intelligence release — background task auto-notifications, free MiMo v2 Pro on Nous Portal, live model switching across all platforms, self-optimized GPT/Codex guidance, native Google AI Studio, smart inactivity timeouts, approval buttons, MCP OAuth 2.1, and 209 merged PRs with 82 resolved issues.\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 25, \"content\": \"- **MCP OAuth 2.1 PKCE + OSV Malware Scanning** — Full standards-compliant OAuth for MCP server authentication, plus automatic malware scanning of MCP extension packages via the OSV vulnerability database. ([#5420](https://github.com/NousResearch/hermes-agent/pull/5420), [#5305](https://github.com/NousResearch/hermes-agent/pull/5305))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 53, \"content\": \"- **OAuth token sync** between credential pool and credentials file ([#4981](https://github.com/NousResearch/hermes-agent/pull/4981))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 54, \"content\": \"- **Stale OAuth credentials** no longer block OpenRouter users on auto-detect ([#5746](https://github.com/NousResearch/hermes-agent/pull/5746))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 55, \"content\": \"- **Codex OAuth credential pool disconnect** + expired token import fix ([#5681](https://github.com/NousResearch/hermes-agent/pull/5681))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 62, \"content\": \"- **Nous OAuth access_token** no longer used as inference API key — @SHL0MS ([#5564](https://github.com/NousResearch/hermes-agent/pull/5564))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 231, \"content\": \"- **MCP OAuth 2.1 PKCE** — full standards-compliant OAuth client support ([#5420](https://github.com/NousResearch/hermes-agent/pull/5420))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 281, \"content\": \"- **Profile-scoped Google Workspace OAuth tokens** protected ([#4910](https://github.com/NousResearch/hermes-agent/pull/4910))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.8.0.md\", \"line\": 334, \"content\": \"- **@SHL0MS** (7 PRs) — p5js creative coding skill, manim-video skill + 5 reference expansions, research-paper-writing, Nous OAuth fix, manim font fix\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.12.0.md\", \"line\": 20, \"content\": \"- **Four more new inference providers** — **GMI Cloud** (first-class, salvage of #11955 — @isaachuangGMICLOUD), **Azure AI Foundry** with auto-detection, **MiniMax OAuth** with PKCE browser flow (salvage #15203), **Tencent Tokenhub** (salvage of #16860). ([#16663](https://github.com/NousResearch/hermes-agent/pull/16663), [#15845](https://github.com/NousResearch/hermes-agent/pull/15845), [#17524](https://github.com/NousResearch/hermes-agent/pull/17524), [#16960](https://github.com/NousResearch/he\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.12.0.md\", \"line\": 26, \"content\": \"- **Spotify — native tools + bundled skill + wizard** — 7 tools (play, search, queue, playlists, devices) behind PKCE OAuth, interactive setup wizard, bundled skill, surfacing in `hermes tools`, cron usage documented. ([#15121](https://github.com/NousResearch/hermes-agent/pull/15121), [#15130](https://github.com/NousResearch/hermes-agent/pull/15130), [#15154](https://github.com/NousResearch/hermes-agent/pull/15154), [#15180](https://github.com/NousResearch/hermes-agent/pull/15180))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.12.0.md\", \"line\": 116, \"content\": \"- **MiniMax OAuth** — PKCE browser flow with full OAuth integration (salvage #15203) ([#17524](https://github.com/NousResearch/hermes-agent/pull/17524))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.9.0.md\", \"line\": 24, \"content\": \"- **Native xAI & Xiaomi MiMo Providers** — First-class provider support for xAI (Grok) and Xiaomi MiMo, with direct API access, model catalogs, and setup wizard integration. Plus Qwen OAuth with portal request support. ([#7372](https://github.com/NousResearch/hermes-agent/pull/7372), [#7855](https://github.com/NousResearch/hermes-agent/pull/7855))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.9.0.md\", \"line\": 45, \"content\": \"- **Qwen OAuth provider** with portal request support ([#6282](https://github.com/NousResearch/hermes-agent/pull/6282))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.9.0.md\", \"line\": 54, \"content\": \"- **OAuth credential lifecycle** hardening — stale pool keys, auth.json sync, Codex CLI race fixes ([#6874](https://github.com/NousResearch/hermes-agent/pull/6874))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.6.0.md\", \"line\": 5, \"content\": \"> The multi-instance release — Profiles for running isolated agent instances, MCP server mode, Docker container, fallback provider chains, two new messaging platforms (Feishu/Lark and WeCom), Telegram webhook mode, Slack multi-workspace OAuth, 95 PRs and 16 resolved issues in 2 days.\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.6.0.md\", \"line\": 23, \"content\": \"- **Slack Multi-Workspace OAuth** — Connect a single Hermes gateway to multiple Slack workspaces via OAuth token file. Each workspace gets its own bot token, resolved dynamically per incoming event. ([#3903](https://github.com/NousResearch/hermes-agent/pull/3903))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/RELEASE_v0.6.0.md\", \"line\": 77, \"content\": \"- **Multi-workspace OAuth** — connect to multiple Slack workspaces from a single gateway via OAuth token file ([#3903](https://github.com/NousResearch/hermes-agent/pull/3903))\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 7, \"content\": \"import { api, type OAuthProvider, type OAuthStartResponse } from \\\"@/lib/api\\\";\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 12, \"content\": \" provider: OAuthProvider;\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 27, \"content\": \"export function OAuthLoginModal({ provider, onClose, onSuccess }: Props) {\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 29, \"content\": \" const [start, setStart] = useState(null);\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 41, \"content\": \" .startOAuthLogin(provider.id)\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 74, \"content\": \" setErrorMsg(t.oauth.sessionExpired);\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 89, \"content\": \" const resp = await api.pollOAuthSession(provider.id, sid);\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 121, \"content\": \" const resp = await api.submitOAuthCode(\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 145, \"content\": \" await api.cancelOAuthSession(start.session_id);\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 170, \"content\": \" aria-labelledby=\\\"oauth-modal-title\\\"\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 185, \"content\": \" id=\\\"oauth-modal-title\\\"\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 190, \"content\": \" {t.oauth.connect} {provider.name}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 196, \"content\": \" {t.oauth.sessionExpires.replace(\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 207, \"content\": \" {t.oauth.initiatingLogin}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 214, \"content\": \" {t.oauth.pkceStep1}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 215, \"content\": \" {t.oauth.pkceStep2}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 216, \"content\": \" {t.oauth.pkceStep3}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 222, \"content\": \" placeholder={t.oauth.pasteCode}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 229, \"content\": \" (start as Extract)\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 237, \"content\": \" {t.oauth.reOpenAuth}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 243, \"content\": \" {t.oauth.submitCode}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 253, \"content\": \" {t.oauth.exchangingCode}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 260, \"content\": \" {t.oauth.enterCodePrompt}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 267, \"content\": \" OAuthStartResponse,\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 277, \"content\": \" OAuthStartResponse,\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 288, \"content\": \" OAuthStartResponse,\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 298, \"content\": \" {t.oauth.reOpenVerification}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/web/src/components/OAuthLoginModal.tsx\", \"line\": 302, \"content\": \" {t.oauth.waitingAuth}\"}]}",
"tool_call_id": "call_function_7urtev7s0m60_1"
},
{
"role": "tool",
"name": "search_files",
"content": "{\"total_count\": 50, \"matches\": [{\"path\": \"/home/kuhnn/.hermes/config.yaml.bak.20260518_001723\", \"line\": 19, \"content\": \" # \\\"openai-codex\\\" - OpenAI Codex (requires: hermes auth)\"}, {\"path\": \"/home/kuhnn/.hermes/logs/errors.log\", \"line\": 355, \"content\": \"2026-05-18 18:14:14,566 WARNING [20260518_180753_6f545d] agent.tool_executor: Tool terminal returned error (41.22s): {\\\"output\\\": \\\"To continue, follow these steps:\\\\r\\\\n\\\\r\\\\n 1. Open this URL in your browser:\\\\r\\\\n https://auth.openai.com/codex/device\\\\r\\\\n\\\\r\\\\n 2. Enter this code:\\\\r\\\\n 8T6M-K7ARM\\\\r\\\\n\\\\r\\\\nWaiting for \"}, {\"path\": \"/home/kuhnn/.hermes/logs/agent.log\", \"line\": 5072, \"content\": \"2026-05-18 18:14:14,566 WARNING [20260518_180753_6f545d] agent.tool_executor: Tool terminal returned error (41.22s): {\\\"output\\\": \\\"To continue, follow these steps:\\\\r\\\\n\\\\r\\\\n 1. Open this URL in your browser:\\\\r\\\\n https://auth.openai.com/codex/device\\\\r\\\\n\\\\r\\\\n 2. Enter this code:\\\\r\\\\n 8T6M-K7ARM\\\\r\\\\n\\\\r\\\\nWaiting for \"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/cli-config.yaml.example\", \"line\": 19, \"content\": \" # \\\"openai-codex\\\" - OpenAI Codex (requires: hermes auth)\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/auxiliary_client.py\", \"line\": 475, \"content\": \" acct_id = claims.get(\\\"https://api.openai.com/auth\\\", {}).get(\\\"chatgpt_account_id\\\")\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_sources.py\", \"line\": 8, \"content\": \" device_code — auth.json providers. (nous, openai-codex, ...)\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_sources.py\", \"line\": 60, \"content\": \" ``\\\"Cleared openai-codex OAuth tokens from auth store\\\"``).\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_sources.py\", \"line\": 305, \"content\": \" via ``hermes auth add openai-codex``), but in both cases the re-seed\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_sources.py\", \"line\": 322, \"content\": \" \\\"Run `hermes auth add openai-codex` to re-enable if needed.\\\",\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_sources.py\", \"line\": 423, \"content\": \" description=\\\"auth.json providers.openai-codex + ~/.codex/auth.json\\\",\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/conversation_loop.py\", \"line\": 1960, \"content\": \" and agent.provider in {\\\"openai-codex\\\", \\\"xai-oauth\\\"}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/conversation_loop.py\", \"line\": 2640, \"content\": \" if _provider in {\\\"openai-codex\\\", \\\"xai-oauth\\\"} and status_code == 401:\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_pool.py\", \"line\": 504, \"content\": \" state = _load_provider_state(auth_store, \\\"openai-codex\\\")\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_pool.py\", \"line\": 713, \"content\": \" state = _load_provider_state(auth_store, \\\"openai-codex\\\")\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_pool.py\", \"line\": 724, \"content\": \" _store_provider_state(auth_store, \\\"openai-codex\\\", state, set_active=False)\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_pool.py\", \"line\": 1513, \"content\": \" # Respect user suppression — `hermes auth remove openai-codex` marks\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_pool.py\", \"line\": 1520, \"content\": \" state = _load_provider_state(auth_store, \\\"openai-codex\\\")\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/agent/credential_pool.py\", \"line\": 1527, \"content\": \" # via `hermes auth openai-codex`.\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/cli.py\", \"line\": 4309, \"content\": \" # If model is still empty (e.g. user ran `hermes auth add openai-codex`\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/run_agent.py\", \"line\": 2553, \"content\": \" if self.api_mode != \\\"codex_responses\\\" or self.provider not in {\\\"openai-codex\\\", \\\"xai-oauth\\\"}:\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/skills/autonomous-ai-agents/codex/SKILL.md\", \"line\": 36, \"content\": \"OAuth from `~/.hermes/auth.json` after `hermes auth add openai-codex`. For the\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/reference/environment-variables.md\", \"line\": 108, \"content\": \"| `HERMES_INFERENCE_PROVIDER` | Override provider selection: `auto`, `custom`, `openrouter`, `nous`, `openai-codex`, `copilot`, `copilot-acp`, `anthropic`, `huggingface`, `novita`, `gemini`, `zai`, `kimi-coding`, `kimi-coding-cn`, `minimax`, `minimax-cn`, `minimax-oauth` (browser OAuth login — no API key required; see [MiniMax OAuth guide](../guides/minimax-oauth.md)), `kilocode`, `xiaomi`, `arcee`, `gmi`, `stepfun`, `alibaba`, `alibaba-coding-plan` (alias `alibaba_coding`), `deepseek`, `nvidia`\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/reference/cli-commands.md\", \"line\": 95, \"content\": \"| `--provider ` | Force a provider: `auto`, `openrouter`, `nous`, `openai-codex`, `copilot-acp`, `copilot`, `anthropic`, `gemini`, `google-gemini-cli`, `huggingface`, `novita`, `zai`, `kimi-coding`, `kimi-coding-cn`, `minimax`, `minimax-cn`, `minimax-oauth`, `kilocode`, `xiaomi`, `arcee`, `gmi`, `alibaba`, `alibaba-coding-plan` (alias `alibaba_coding`), `deepseek`, `nvidia`, `ollama-cloud`, `xai` (alias `grok`), `xai-oauth` (alias `grok-oauth`), `qwen-oauth`, `bedrock`, `opencode-zen`,\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/user-guide/configuration.md\", \"line\": 818, \"content\": \"Available providers for auxiliary tasks: `auto`, `main`, plus any provider in the [provider registry](/docs/reference/environment-variables) — `openrouter`, `nous`, `openai-codex`, `copilot`, `copilot-acp`, `anthropic`, `gemini`, `google-gemini-cli`, `qwen-oauth`, `zai`, `kimi-coding`, `kimi-coding-cn`, `minimax`, `minimax-cn`, `minimax-oauth`, `deepseek`, `nvidia`, `xai`, `xai-oauth`, `ollama-cloud`, `alibaba`, `bedrock`, `huggingface`, `arcee`, `xiaomi`, `kilocode`, `opencode-zen`, `opencode-g\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/user-guide/features/codex-app-server-runtime.md\", \"line\": 38, \"content\": \"When you enable the runtime, Hermes queries codex's `plugin/list` RPC and writes a `[plugins.\\\"@openai-curated\\\"]` entry for every plugin you have installed. The plugins themselves are managed by codex and authorized once via codex's own UI.\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/user-guide/features/codex-app-server-runtime.md\", \"line\": 120, \"content\": \"| ChatGPT subscription auth | — | yes (via `openai-codex` provider) |\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/user-guide/skills/bundled/autonomous-ai-agents/autonomous-ai-agents-codex.md\", \"line\": 54, \"content\": \"OAuth from `~/.hermes/auth.json` after `hermes auth add openai-codex`. For the\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/nous_subscription.py\", \"line\": 313, \"content\": \" managed_tts_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready(\\\"openai-audio\\\")\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/integrations/providers.md\", \"line\": 1449, \"content\": \"Supported providers: `openrouter`, `nous`, `openai-codex`, `copilot`, `copilot-acp`, `anthropic`, `gemini`, `google-gemini-cli`, `qwen-oauth`, `huggingface`, `zai`, `kimi-coding`, `kimi-coding-cn`, `minimax`, `minimax-cn`, `minimax-oauth`, `deepseek`, `nvidia`, `xai`, `xai-oauth`, `ollama-cloud`, `bedrock`, `ai-gateway`, `azure-foundry`, `opencode-zen`, `opencode-go`, `kilocode`, `xiaomi`, `arcee`, `gmi`, `stepfun`, `lmstudio`, `alibaba`, `alibaba-coding-plan`, `tencent-tokenhub`, `custom`.\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/web_server.py\", \"line\": 1428, \"content\": \" \\\"cli_command\\\": \\\"hermes auth add openai-codex\\\",\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/web_server.py\", \"line\": 1604, \"content\": \"# 1. POST /api/providers/oauth/{nous|openai-codex}/start\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/web_server.py\", \"line\": 1857, \"content\": \" sid, _ = _new_oauth_session(\\\"openai-codex\\\", \\\"device_code\\\")\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/web_server.py\", \"line\": 2132, \"content\": \" issuer = \\\"https://auth.openai.com\\\"\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/web_server.py\", \"line\": 2237, \"content\": \" _log.info(\\\"oauth/device: openai-codex login completed (session=%s)\\\", session_id)\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/main.py\", \"line\": 9712, \"content\": \" \\\"auto\\\", \\\"openrouter\\\", \\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\", \\\"copilot-acp\\\", \\\"copilot\\\",\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/main.py\", \"line\": 10261, \"content\": \" choices=[\\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\"],\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/main.py\", \"line\": 10307, \"content\": \" choices=[\\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\", \\\"spotify\\\"],\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py\", \"line\": 91, \"content\": \"CODEX_OAUTH_TOKEN_URL = \\\"https://auth.openai.com/oauth/token\\\"\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py\", \"line\": 2650, \"content\": \" state = _load_provider_state(auth_store, \\\"openai-codex\\\")\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py\", \"line\": 2694, \"content\": \" state = _load_provider_state(auth_store, \\\"openai-codex\\\") or {}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py\", \"line\": 2698, \"content\": \" _save_provider_state(auth_store, \\\"openai-codex\\\", state)\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py\", \"line\": 4932, \"content\": \" if provider in {\\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\"}:\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py\", \"line\": 5544, \"content\": \" issuer = \\\"https://auth.openai.com\\\"\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/config.py\", \"line\": 4354, \"content\": \"# openai-codex (OAuth — hermes auth) — OpenAI Codex\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/config.py\", \"line\": 4386, \"content\": \"# openai-codex (OAuth — hermes auth) — OpenAI Codex\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/tests/agent/test_codex_cloudflare_headers.py\", \"line\": 47, \"content\": \" \\\"https://api.openai.com/auth\\\": {\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/tests/agent/test_credential_pool.py\", \"line\": 1539, \"content\": \" # Simulate `hermes auth openai-codex` replacing the token pair on disk.\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/tests/agent/test_gemini_cloudcode.py\", \"line\": 1164, \"content\": \" for required in (\\\"anthropic\\\", \\\"nous\\\", \\\"openai-codex\\\", \\\"qwen-oauth\\\", \\\"google-gemini-cli\\\"):\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/tests/agent/test_auxiliary_client.py\", \"line\": 365, \"content\": \" assert mock_openai.call_args.kwargs[\\\"api_key\\\"] == \\\"codex-auth-token\\\"\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth_commands.py\", \"line\": 36, \"content\": \"_OAUTH_CAPABLE_PROVIDERS = {\\\"anthropic\\\", \\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\", \\\"qwen-oauth\\\", \\\"google-gemini-cli\\\", \\\"minimax-oauth\\\"}\"}]}",
"tool_call_id": "call_function_7urtev7s0m60_2"
},
{
"role": "assistant",
"content": "支持！Hermes 有 `openai-codex` provider，用的是 OAuth device code flow，不需要 API Key。\n\n从之前错误日志看到，5月18日已经尝试过这个流程（device code: `8T6M-K7ARM`），但没有完成。\n\n让我检查当前 auth 状态和配置：",
"reasoning": "So yes! Hermes DOES support OpenAI Codex OAuth via `hermes auth add openai-codex`. From the error log I can see it even tried to do a device code flow (`https://auth.openai.com/codex/device`). \n\nThe provider is `openai-codex` and it uses OAuth (device code flow). This means the user can use their existing ChatGPT Plus subscription through the Codex OAuth flow without needing an API key.\n\nLet me check what the current config looks like and what the auth status is.",
"finish_reason": "tool_calls",
"reasoning_content": "So yes! Hermes DOES support OpenAI Codex OAuth via `hermes auth add openai-codex`. From the error log I can see it even tried to do a device code flow (`https://auth.openai.com/codex/device`). \n\nThe provider is `openai-codex` and it uses OAuth (device code flow). This means the user can use their existing ChatGPT Plus subscription through the Codex OAuth flow without needing an API key.\n\nLet me check what the current config looks like and what the auth status is.",
"reasoning_details": [
{
"signature": "40174720ca407c15271930a26a208e036fee38e54e87c4497e1f80c1935e60f8",
"thinking": "So yes! Hermes DOES support OpenAI Codex OAuth via `hermes auth add openai-codex`. From the error log I can see it even tried to do a device code flow (`https://auth.openai.com/codex/device`). \n\nThe provider is `openai-codex` and it uses OAuth (device code flow). This means the user can use their existing ChatGPT Plus subscription through the Codex OAuth flow without needing an API key.\n\nLet me check what the current config looks like and what the auth status is.",
"type": "thinking"
}
],
"tool_calls": [
{
"id": "call_function_ttgfcvn147gl_1",
"call_id": "call_function_ttgfcvn147gl_1",
"response_item_id": "fc_function_ttgfcvn147gl_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"hermes auth list 2>&1 | head -30\"}"
}
},
{
"id": "call_function_ttgfcvn147gl_2",
"call_id": "call_function_ttgfcvn147gl_2",
"response_item_id": "fc_function_ttgfcvn147gl_2",
"type": "function",
"function": {
"name": "read_file",
"arguments": "{\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"offset\": 410, \"limit\": 40}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"minimax (1 credentials):\\n #1 MINIMAX_API_KEY api_key env:MINIMAX_API_KEY ←\\n\\nminimax-cn (1 credentials):\\n #1 MINIMAX_CN_API_KEY api_key env:MINIMAX_CN_API_KEY ←\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_ttgfcvn147gl_1"
},
{
"role": "tool",
"name": "read_file",
"content": "{\"content\": \" 410| free_response_channels: ''\\n 411| allowed_channels: ''\\n 412| channel_prompts: {}\\n 413|matrix:\\n 414| require_mention: true\\n 415| free_response_rooms: ''\\n 416| allowed_rooms: ''\\n 417|approvals:\\n 418| mode: manual\\n 419| timeout: 60\\n 420| cron_mode: deny\\n 421| mcp_reload_confirm: true\\n 422| destructive_slash_confirm: false\\n 423|command_allowlist:\\n 424|- stop/restart hermes gateway (kills running agents)\\n 425|- stop/restart system service\\n 426|quick_commands: {}\\n 427|hooks: {}\\n 428|hooks_auto_accept: false\\n 429|personalities: {}\\n 430|security:\\n 431| allow_private_urls: false\\n 432| redact_secrets: true\\n 433| tirith_enabled: true\\n 434| tirith_path: tirith\\n 435| tirith_timeout: 5\\n 436| tirith_fail_open: true\\n 437| website_blocklist:\\n 438| enabled: false\\n 439| domains: []\\n 440| shared_files: []\\n 441| acked_advisories: []\\n 442| allow_lazy_installs: true\\n 443|cron:\\n 444| wrap_response: true\\n 445| max_parallel_jobs: null\\n 446|kanban:\\n 447| dispatch_in_gateway: true\\n 448| dispatch_interval_seconds: 60\\n 449| failure_limit: 2\\n 450|\", \"total_lines\": 528, \"file_size\": 12856, \"truncated\": true, \"hint\": \"Use offset=450 to continue reading (showing 410-449 of 528 lines)\", \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_function_ttgfcvn147gl_2"
},
{
"role": "assistant",
"content": "",
"reasoning": "I see that `hermes auth list` only shows minimax credentials, not openai-codex. The OAuth hasn't been set up yet. Let me check the auxiliary config section and find the vision provider config.",
"finish_reason": "tool_calls",
"reasoning_content": "I see that `hermes auth list` only shows minimax credentials, not openai-codex. The OAuth hasn't been set up yet. Let me check the auxiliary config section and find the vision provider config.",
"reasoning_details": [
{
"signature": "3cc2ddeff330f71e15223e14c8f76b4b464bdecd8e567601bdf4d107eb94d653",
"thinking": "I see that `hermes auth list` only shows minimax credentials, not openai-codex. The OAuth hasn't been set up yet. Let me check the auxiliary config section and find the vision provider config.",
"type": "thinking"
}
],
"tool_calls": [
{
"id": "call_function_flwqfggc1jgp_1",
"call_id": "call_function_flwqfggc1jgp_1",
"response_item_id": "fc_function_flwqfggc1jgp_1",
"type": "function",
"function": {
"name": "search_files",
"arguments": "{\"pattern\": \"auxiliary|vision|openai\", \"path\": \"/home/kuhnn/.hermes/config.yaml\", \"output_mode\": \"content\", \"context\": 2}"
}
}
]
},
{
"role": "tool",
"name": "search_files",
"content": "{\"total_count\": 17, \"matches\": [{\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 156, \"content\": \" stream_processing_mode: async\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 157, \"content\": \" trace: disabled\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 158, \"content\": \"auxiliary:\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 159, \"content\": \" vision:\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 160, \"content\": \" provider: openai\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 161, \"content\": \" model: gpt-4o\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 162, \"content\": \" api_key: ''\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 293, \"content\": \" voice_id: pNInz6obpgDQGcFmaJgB\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 294, \"content\": \" model_id: eleven_multilingual_v2\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 295, \"content\": \" openai:\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 296, \"content\": \" model: gpt-4o-mini-tts\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 297, \"content\": \" voice: alloy\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 321, \"content\": \" model: base\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 322, \"content\": \" language: ''\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 323, \"content\": \" openai:\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 324, \"content\": \" model: whisper-1\"}, {\"path\": \"/home/kuhnn/.hermes/config.yaml\", \"line\": 325, \"content\": \" mistral:\"}]}",
"tool_call_id": "call_function_flwqfggc1jgp_1"
},
{
"role": "assistant",
"content": "**结论：可以用 OAuth。** 但当前配置需要调整。\n\n当前问题：\n- `auxiliary.vision` 配置的是 `provider: openai`（需要 `sk-...` API Key）\n- 你想用 `provider: openai-codex`（OAuth，不需要 API Key）\n\n**配置步骤：**\n\n1. 先认证 OAuth（终端运行）：\n```bash\nhermes auth add openai-codex\n```\n会给你一个 device code，去 https://auth.openai.com/codex/device 输入完成授权。\n\n2. 认证成功后，把 `config.yaml` 里的 `auxiliary.vision` 改成：\n```yaml\nauxiliary:\n vision:\n provider: openai-codex\n model: gpt-4o\n api_key: ''\n```\n\n要我帮你改配置吗？还是你先跑一下 `hermes auth add openai-codex` 试试？",
"reasoning": "Now I have the full picture:\n\n1. `auxiliary.vision` is set to `provider: openai / model: gpt-4o / api_key: ''` - empty api_key\n2. `hermes auth list` only shows minimax credentials, no openai-codex OAuth\n\nThe user wants to use OAuth. The `openai-codex` provider uses OAuth (device code flow) and doesn't need an API key. But the current config has `provider: openai` (not `openai-codex`), and the api_key is empty.\n\nFor `openai-codex` provider, Hermes uses `hermes auth add openai-codex` to authenticate via OAuth. This doesn't need an API key.\n \nThe issue is that `provider: openai` requires an API key while `provider: openai-codex` uses OAuth instead. Since the user specifically asked about OAuth, I should guide them toward setting up `openai-codex` as the provider and then running the authentication command.",
"finish_reason": "stop",
"reasoning_content": "Now I have the full picture:\n\n1. `auxiliary.vision` is set to `provider: openai / model: gpt-4o / api_key: ''` - empty api_key\n2. `hermes auth list` only shows minimax credentials, no openai-codex OAuth\n\nThe user wants to use OAuth. The `openai-codex` provider uses OAuth (device code flow) and doesn't need an API key. But the current config has `provider: openai` (not `openai-codex`), and the api_key is empty.\n\nFor `openai-codex` provider, Hermes uses `hermes auth add openai-codex` to authenticate via OAuth. This doesn't need an API key.\n \nThe issue is that `provider: openai` requires an API key while `provider: openai-codex` uses OAuth instead. Since the user specifically asked about OAuth, I should guide them toward setting up `openai-codex` as the provider and then running the authentication command.",
"reasoning_details": [
{
"signature": "f3461cba9091f5d99119a4eef9d70208e0a9764372cf2ff92748140d8d33d7bf",
"thinking": "Now I have the full picture:\n\n1. `auxiliary.vision` is set to `provider: openai / model: gpt-4o / api_key: ''` - empty api_key\n2. `hermes auth list` only shows minimax credentials, no openai-codex OAuth\n\nThe user wants to use OAuth. The `openai-codex` provider uses OAuth (device code flow) and doesn't need an API key. But the current config has `provider: openai` (not `openai-codex`), and the api_key is empty.\n\nFor `openai-codex` provider, Hermes uses `hermes auth add openai-codex` to authenticate via OAuth. This doesn't need an API key.\n \nThe issue is that `provider: openai` requires an API key while `provider: openai-codex` uses OAuth instead. Since the user specifically asked about OAuth, I should guide them toward setting up `openai-codex` as the provider and then running the authentication command.",
"type": "thinking"
}
]
},
{
"role": "user",
"content": "不行，跑完后网页提示使用chatgpt登陆到codex."
},
{
"role": "assistant",
"content": "等等，这其实就是正确的流程——Codex OAuth 就是用 ChatGPT 账号登陆的。\n\n你说的\"不行\"具体是什么情况？\n\n1. 网页打开后，用 ChatGPT 账号登陆/授权，然后呢？命令那边报错了？\n2. 还是说 ChatGPT 账号本身没有 Codex 权限（需要 ChatGPT Plus 订阅）？\n\n能把终端输出的完整信息发给我看看吗？",
"reasoning": "The user says after running `hermes auth add openai-codex`, the web page prompts them to login to Codex with ChatGPT. This means the OAuth flow is asking for ChatGPT login, which is what we want - Codex uses ChatGPT authentication. But the user seems to be saying it didn't work or something.\n\nWait, let me re-read. The user says \"不行\" - not working. And \"跑完后网页提示使用chatgpt登陆到codex\" - after running, the webpage prompts to use ChatGPT to login to Codex.\n\nThis is actually the expected behavior! Codex OAuth uses ChatGPT accounts. The flow should be:\n\n\nOpen the device URL → login with ChatGPT → authorize → done.\n\nBut the user is saying it doesn't work. Maybe there's an issue with the ChatGPT Plus subscription not being active, or the authorization didn't complete successfully. Or maybe the user started the command but it got stuck or failed. I should ask them to share what happened - whether the command completed, if they saw an error, or if they're just describing what the webpage showed them.",
"finish_reason": "stop",
"reasoning_content": "The user says after running `hermes auth add openai-codex`, the web page prompts them to login to Codex with ChatGPT. This means the OAuth flow is asking for ChatGPT login, which is what we want - Codex uses ChatGPT authentication. But the user seems to be saying it didn't work or something.\n\nWait, let me re-read. The user says \"不行\" - not working. And \"跑完后网页提示使用chatgpt登陆到codex\" - after running, the webpage prompts to use ChatGPT to login to Codex.\n\nThis is actually the expected behavior! Codex OAuth uses ChatGPT accounts. The flow should be:\n\n\nOpen the device URL → login with ChatGPT → authorize → done.\n\nBut the user is saying it doesn't work. Maybe there's an issue with the ChatGPT Plus subscription not being active, or the authorization didn't complete successfully. Or maybe the user started the command but it got stuck or failed. I should ask them to share what happened - whether the command completed, if they saw an error, or if they're just describing what the webpage showed them.",
"reasoning_details": [
{
"signature": "164466dfe81d2acc5d50641a03b65bcde805c05253c08afd6ccac3870d2dc240",
"thinking": "The user says after running `hermes auth add openai-codex`, the web page prompts them to login to Codex with ChatGPT. This means the OAuth flow is asking for ChatGPT login, which is what we want - Codex uses ChatGPT authentication. But the user seems to be saying it didn't work or something.\n\nWait, let me re-read. The user says \"不行\" - not working. And \"跑完后网页提示使用chatgpt登陆到codex\" - after running, the webpage prompts to use ChatGPT to login to Codex.\n\nThis is actually the expected behavior! Codex OAuth uses ChatGPT accounts. The flow should be:\n\n\nOpen the device URL → login with ChatGPT → authorize → done.\n\nBut the user is saying it doesn't work. Maybe there's an issue with the ChatGPT Plus subscription not being active, or the authorization didn't complete successfully. Or maybe the user started the command but it got stuck or failed. I should ask them to share what happened - whether the command completed, if they saw an error, or if they're just describing what the webpage showed them.",
"type": "thinking"
}
]
},
{
"role": "user",
"content": "如果使用chatgpt的订阅来绑定hermes有那些方式？"
},
{
"role": "assistant",
"content": "根据 Hermes 支持的情况，ChatGPT 订阅有两种接入方式：\n\n| 方式 | 需要什么 | 配置方法 | 用途 |\n|------|---------|---------|------|\n| **API Key** | platform.openai.com 的 Key | `auxiliary.vision: provider: openai / api_key: sk-...` | Vision / 图片理解 |\n| **Codex OAuth** | ChatGPT Plus 订阅 | `provider: openai-codex` + `hermes auth add openai-codex` | Vision + 可能的 Codex 模型 |\n\n你说的\"网页提示用 ChatGPT 登陆到 Codex\"，**那就是正确流程**——Codex OAuth 本质上就是用你的 ChatGPT 账号授权。\n\n**你现在卡在哪一步了？**\n- 输入 code 后没有响应？\n- 授权成功了但终端还是报错？\n- 没有 ChatGPT Plus 所以授权被拒？\n\n具体说清楚我帮你排查。",
"reasoning": "The user wants to know what ways there are to use ChatGPT's subscription to bind with Hermes. Let me think about this:\n\n1. **OpenAI Codex OAuth** (`openai-codex` provider) - This uses ChatGPT subscription auth via `hermes auth add openai-codex`. It goes through the device code flow at `auth.openai.com/codex/device` and requires a ChatGPT Plus subscription. This is the OAuth method we were just discussing.\n\n2. **API Key** - Create an API key at platform.openai.com. This is separate from the ChatGPT subscription.\n\n3. Looking at the Hermes docs, there might be other ways...\n\nLet me think about what the user is asking. They have a ChatGPT subscription and want to use it with Hermes. The options are:\n\n\n- The `openai-codex` OAuth flow that routes through the device code endpoint and requires an active ChatGPT Plus subscription\n- A direct API key from the platform, which bills separately from the subscription\n\nI'm trying to clarify what the user actually needs—they might be running into issues with the device code flow, or they could be asking whether there's a simpler way to connect their existing ChatGPT account to Hermes without OAuth.",
"finish_reason": "stop",
"reasoning_content": "The user wants to know what ways there are to use ChatGPT's subscription to bind with Hermes. Let me think about this:\n\n1. **OpenAI Codex OAuth** (`openai-codex` provider) - This uses ChatGPT subscription auth via `hermes auth add openai-codex`. It goes through the device code flow at `auth.openai.com/codex/device` and requires a ChatGPT Plus subscription. This is the OAuth method we were just discussing.\n\n2. **API Key** - Create an API key at platform.openai.com. This is separate from the ChatGPT subscription.\n\n3. Looking at the Hermes docs, there might be other ways...\n\nLet me think about what the user is asking. They have a ChatGPT subscription and want to use it with Hermes. The options are:\n\n\n- The `openai-codex` OAuth flow that routes through the device code endpoint and requires an active ChatGPT Plus subscription\n- A direct API key from the platform, which bills separately from the subscription\n\nI'm trying to clarify what the user actually needs—they might be running into issues with the device code flow, or they could be asking whether there's a simpler way to connect their existing ChatGPT account to Hermes without OAuth.",
"reasoning_details": [
{
"signature": "ce2259081e16bd1205ad4976d3fb1d5e63acbb869128a5fdc224ba61370ef630",
"thinking": "The user wants to know what ways there are to use ChatGPT's subscription to bind with Hermes. Let me think about this:\n\n1. **OpenAI Codex OAuth** (`openai-codex` provider) - This uses ChatGPT subscription auth via `hermes auth add openai-codex`. It goes through the device code flow at `auth.openai.com/codex/device` and requires a ChatGPT Plus subscription. This is the OAuth method we were just discussing.\n\n2. **API Key** - Create an API key at platform.openai.com. This is separate from the ChatGPT subscription.\n\n3. Looking at the Hermes docs, there might be other ways...\n\nLet me think about what the user is asking. They have a ChatGPT subscription and want to use it with Hermes. The options are:\n\n\n- The `openai-codex` OAuth flow that routes through the device code endpoint and requires an active ChatGPT Plus subscription\n- A direct API key from the platform, which bills separately from the subscription\n\nI'm trying to clarify what the user actually needs—they might be running into issues with the device code flow, or they could be asking whether there's a simpler way to connect their existing ChatGPT account to Hermes without OAuth.",
"type": "thinking"
}
]
},
{
"role": "user",
"content": "Review the conversation above and consider saving to memory if appropriate.\n\nFocus on:\n1. Has the user revealed things about themselves — their persona, desires, preferences, or personal details worth remembering?\n2. Has the user expressed expectations about how you should behave, their work style, or ways they want you to operate?\n\nIf something stands out, save it using the memory tool. If nothing is worth saving, just say 'Nothing to save.' and stop.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them."
},
{
"role": "assistant",
"content": "没什么新东西。已保存的信息足够覆盖这个会话的内容。",
"reasoning": "The user wants me to review the conversation and save anything noteworthy to memory.\n\nLet me think about what was revealed:\n\n1. User preferences:\n- Prefers Chinese language\n- Simple solutions > complex setups\n- Using MiniMax Token Plan (1500/5h limit)\n- Migrated from OpenClaw to Hermes (MiniMax-M2.7)\n- Synology Drive backups\n- Telegram ID 7862937585\n- Has a ChatGPT Plus subscription (mentioned in this conversation)\n\n2. Current project:\n- Configuring ChatGPT integration for vision (auxiliary.vision)\n- Previously tried Codex OAuth but got stuck on the authorization step\n\n3. Work style:\n- Direct, doesn't like filler\n- Asks clarifying questions when stuck\n\nNothing new really - this is mostly a continuation of the ChatGPT configuration task from the previous session. The user profile already has most of this.\n\nI should check if there's anything new worth adding. The key new info is:\n- User HAS a ChatGPT Plus subscription (this was unclear before)\n- They're trying to use it for Hermes auxiliary.vision\n\nBut actually, looking at the existing memory, it already notes \"Has Synology Drive backups. Interested in private bot access control and Telegram command menus.\" - so Synology Drive preference is already saved.\n\nThe user persona hasn't really changed. I don't think there's much new to save here that's not already captured in the existing memory and user profile.\n\nActually, I should just say \"Nothing to save\" since the existing memory already covers the important stuff and nothing dramatically new was revealed.",
"finish_reason": "stop",
"reasoning_content": "The user wants me to review the conversation and save anything noteworthy to memory.\n\nLet me think about what was revealed:\n\n1. User preferences:\n- Prefers Chinese language\n- Simple solutions > complex setups\n- Using MiniMax Token Plan (1500/5h limit)\n- Migrated from OpenClaw to Hermes (MiniMax-M2.7)\n- Synology Drive backups\n- Telegram ID 7862937585\n- Has a ChatGPT Plus subscription (mentioned in this conversation)\n\n2. Current project:\n- Configuring ChatGPT integration for vision (auxiliary.vision)\n- Previously tried Codex OAuth but got stuck on the authorization step\n\n3. Work style:\n- Direct, doesn't like filler\n- Asks clarifying questions when stuck\n\nNothing new really - this is mostly a continuation of the ChatGPT configuration task from the previous session. The user profile already has most of this.\n\nI should check if there's anything new worth adding. The key new info is:\n- User HAS a ChatGPT Plus subscription (this was unclear before)\n- They're trying to use it for Hermes auxiliary.vision\n\nBut actually, looking at the existing memory, it already notes \"Has Synology Drive backups. Interested in private bot access control and Telegram command menus.\" - so Synology Drive preference is already saved.\n\nThe user persona hasn't really changed. I don't think there's much new to save here that's not already captured in the existing memory and user profile.\n\nActually, I should just say \"Nothing to save\" since the existing memory already covers the important stuff and nothing dramatically new was revealed.",
"reasoning_details": [
{
"signature": "54abefd57d838c1839e7a0355060af782f6b777ea67ea80293f0ad8013f891da",
"thinking": "The user wants me to review the conversation and save anything noteworthy to memory.\n\nLet me think about what was revealed:\n\n1. User preferences:\n- Prefers Chinese language\n- Simple solutions > complex setups\n- Using MiniMax Token Plan (1500/5h limit)\n- Migrated from OpenClaw to Hermes (MiniMax-M2.7)\n- Synology Drive backups\n- Telegram ID 7862937585\n- Has a ChatGPT Plus subscription (mentioned in this conversation)\n\n2. Current project:\n- Configuring ChatGPT integration for vision (auxiliary.vision)\n- Previously tried Codex OAuth but got stuck on the authorization step\n\n3. Work style:\n- Direct, doesn't like filler\n- Asks clarifying questions when stuck\n\nNothing new really - this is mostly a continuation of the ChatGPT configuration task from the previous session. The user profile already has most of this.\n\nI should check if there's anything new worth adding. The key new info is:\n- User HAS a ChatGPT Plus subscription (this was unclear before)\n- They're trying to use it for Hermes auxiliary.vision\n\nBut actually, looking at the existing memory, it already notes \"Has Synology Drive backups. Interested in private bot access control and Telegram command menus.\" - so Synology Drive preference is already saved.\n\nThe user persona hasn't really changed. I don't think there's much new to save here that's not already captured in the existing memory and user profile.\n\nActually, I should just say \"Nothing to save\" since the existing memory already covers the important stuff and nothing dramatically new was revealed.",
"type": "thinking"
}
]
}
]
}