{
"session_id": "20260518_180753_6f545d",
"model": "MiniMax-M2.7",
"base_url": "https://api.minimaxi.com/anthropic",
"platform": "telegram",
"session_start": "2026-05-18T17:43:46.332395",
"last_updated": "2026-05-18T18:16:55.570659",
"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 for 坤哥 (London) — searches n...\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 - self-hosted-services: Install, configure, and expose self-hosted services via D...\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/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format  and they will be sent as native photos.\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: Monday, May 18, 2026 06:07 PM\nModel: MiniMax-M2.7\nProvider: minimax-cn",
"tools": [
{
"type": "function",
"function": {
"name": "browser_back",
"description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_click",
"description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
}
},
"required": [
"ref"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_console",
"description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
"parameters": {
"type": "object",
"properties": {
"clear": {
"type": "boolean",
"default": false,
"description": "If true, clear the message buffers after reading"
},
"expression": {
"type": "string",
"description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_get_images",
"description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_navigate",
"description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For simple information retrieval, prefer web_search or web_extract (faster, cheaper). For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to navigate to (e.g., 'https://example.com')"
}
},
"required": [
"url"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_press",
"description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
}
},
"required": [
"key"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_scroll",
"description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"direction": {
"type": "string",
"enum": [
"up",
"down"
],
"description": "Direction to scroll"
}
},
"required": [
"direction"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_snapshot",
"description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
"parameters": {
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_type",
"description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e3')"
},
"text": {
"type": "string",
"description": "The text to type into the field"
}
},
"required": [
"ref",
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_vision",
"description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: 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 web_search(query: str, limit: int = 5) -> dict\n Returns {\"data\": {\"web\": [{\"url\", \"title\", \"description\"}, ...]}}\n web_extract(urls: list[str]) -> dict\n Returns {\"results\": [{\"url\", \"title\", \"content\", \"error\"}, ...]} where content is markdown\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute. Import tools with `from hermes_tools import web_search, terminal, ...` and print your final result to stdout."
}
},
"required": [
"code"
]
}
}
},
{
"type": "function",
"function": {
"name": "memory",
"description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"add",
"replace",
"remove"
],
"description": "The action to perform."
},
"target": {
"type": "string",
"enum": [
"memory",
"user"
],
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
},
"content": {
"type": "string",
"description": "The entry content. Required for 'add' and 'replace'."
},
"old_text": {
"type": "string",
"description": "Short unique substring identifying the entry to replace or remove."
}
},
"required": [
"action",
"target"
]
}
}
},
{
"type": "function",
"function": {
"name": "patch",
"description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
"default": "replace"
},
"path": {
"type": "string",
"description": "REQUIRED when mode='replace'. File path to edit."
},
"old_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "Replace all occurrences instead of requiring a unique match (default: false)",
"default": false
},
"patch": {
"type": "string",
"description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
}
},
"required": [
"mode"
]
}
}
},
{
"type": "function",
"function": {
"name": "process",
"description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"list",
"poll",
"log",
"wait",
"kill",
"write",
"submit",
"close"
],
"description": "Action to perform on background processes"
},
"session_id": {
"type": "string",
"description": "Process session ID (from terminal background output). Required for all actions except 'list'."
},
"data": {
"type": "string",
"description": "Text to send to process stdin (for 'write' and 'submit' actions)"
},
"timeout": {
"type": "integer",
"description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
"minimum": 1
},
"offset": {
"type": "integer",
"description": "Line offset for 'log' action (default: last 200 lines)"
},
"limit": {
"type": "integer",
"description": "Max lines to return for 'log' action",
"minimum": 1
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to read (absolute, relative, or ~/path)"
},
"offset": {
"type": "integer",
"description": "Line number to start reading from (1-indexed, default: 1)",
"default": 1,
"minimum": 1
},
"limit": {
"type": "integer",
"description": "Maximum number of lines to read (default: 500, max: 2000)",
"default": 500,
"maximum": 2000
}
},
"required": [
"path"
]
}
}
},
{
"type": "function",
"function": {
"name": "search_files",
"description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
"parameters": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
},
"target": {
"type": "string",
"enum": [
"content",
"files"
],
"description": "'content' searches inside file contents, 'files' searches for files by name",
"default": "content"
},
"path": {
"type": "string",
"description": "Directory or file to search in (default: current working directory)",
"default": "."
},
"file_glob": {
"type": "string",
"description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return (default: 50)",
"default": 50
},
"offset": {
"type": "integer",
"description": "Skip first N results for pagination (default: 0)",
"default": 0
},
"output_mode": {
"type": "string",
"enum": [
"content",
"files_only",
"count"
],
"description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
"default": "content"
},
"context": {
"type": "integer",
"description": "Number of context lines before and after each match (grep mode only)",
"default": 0
}
},
"required": [
"pattern"
]
}
}
},
{
"type": "function",
"function": {
"name": "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": "web_extract",
"description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.",
"parameters": {
"type": "object",
"properties": {
"urls": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of URLs to extract content from (max 5 URLs per call)",
"maxItems": 5
}
},
"required": [
"urls"
]
}
}
},
{
"type": "function",
"function": {
"name": "web_search",
"description": "Search the web for information. Returns up to 5 results by default with titles, URLs, and descriptions. The query is passed through to the configured backend, so operators such as site:domain, filetype:pdf, intitle:word, -term, and \"exact phrase\" may work when the backend supports them.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The search query to look up on the web. You may include backend-supported operators such as site:example.com, filetype:pdf, intitle:word, -term, or \"exact phrase\"."
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return. Defaults to 5.",
"minimum": 1,
"maximum": 100,
"default": 5
}
},
"required": [
"query"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 65,
"messages": [
{
"role": "user",
"content": "[The user sent an image~ Here's what I can see:\nI’m sorry—I don’t have access to the image you’re referring to. If you can share or upload the image, I’ll be happy to describe everything visible in it in detail.]\n[If you need a closer look, use vision_analyze with image_url: /home/kuhnn/.hermes/image_cache/img_40fd30c92feb.jpg ~]\n\n/"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_d5fyrcfqvtxv_1",
"call_id": "call_function_d5fyrcfqvtxv_1",
"response_item_id": "fc_function_d5fyrcfqvtxv_1",
"type": "function",
"function": {
"name": "vision_analyze",
"arguments": "{\"image_url\": \"/home/kuhnn/.hermes/image_cache/img_40fd30c92feb.jpg\", \"question\": \"\\u63cf\\u8ff0\\u56fe\\u7247\\u4e2d\\u6240\\u6709\\u53ef\\u89c1\\u7684\\u5185\\u5bb9\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The user sent an image, but the message only shows the system description, not the actual image. I can see from the note that there's an image cached at `/home/kuhnn/.hermes/image_cache/img_40fd30c92feb.jpg`. Let me analyze it.",
"reasoning_content": "The user sent an image, but the message only shows the system description, not the actual image. I can see from the note that there's an image cached at `/home/kuhnn/.hermes/image_cache/img_40fd30c92feb.jpg`. Let me analyze it.",
"reasoning_details": [
{
"signature": "b77281252e76f802123d738a81770ab343f5ebd1a336a9c26ec27c70e333bf8a",
"thinking": "The user sent an image, but the message only shows the system description, not the actual image. I can see from the note that there's an image cached at `/home/kuhnn/.hermes/image_cache/img_40fd30c92feb.jpg`. Let me analyze it.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\n \"success\": true,\n \"analysis\": \"抱歉，我无法看到您所提到的图片。您可以在聊天中直接上传（或粘贴）图片，这样我就能详细描述其中的所有可见内容并回答您的问题。期待您的图片！\"\n}",
"tool_call_id": "call_function_d5fyrcfqvtxv_1"
},
{
"role": "user",
"content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\n用户询问：能否查看之前 OpenClaw 的配置信息，看看 ChatGPT 的 API key 是否还可用。\n\n## Goal\n解决图像分析（Vision）能力缺失的问题。用户有 ChatGPT 订阅，想知道是否能复用之前的 OpenAI API Key 来启用 vision_analyze 工具。\n\n## Completed Actions\n1. SEARCH_FILES `~/.hermes` — 搜索 openai/sk-/api_key 相关内容，找到 50 个匹配项 [tool: search_files]\n2. TERMINAL `grep -r \"openai\" ~/.hermes/ --include=\"*.yaml\" --include=\"*.json\" --include=\"*.env\"` — 找到 OpenClaw 迁移报告，包含 `OPENAI_API_KEY` 和 `VOICE_TOOLS_OPENAI_KEY` 支持 [tool: terminal]\n3. TERMINAL `cat ~/.hermes/.env | grep -i \"openai\"` — 结果：无 OpenAI 凭据在 .env 中 [tool: terminal]\n4. TERMINAL `cat ~/.hermes/auth.json` — Providers: []，Active: None，credential_pool 只有 `minimax-cn` [tool: terminal]\n5. TERMINAL `python3` 解析 migration report.json — 提取 OpenClaw 迁移配置摘要（敏感信息已脱敏）[tool: terminal]\n6. TERMINAL `ls ~/.hermes/migration/openclaw/20260518T001900/` — 找到 archive/backups/MIGRATION_NOTES.md/report.json [tool: terminal]\n7. READ_FILE `MIGRATION_NOTES.md` — 记录了 OpenClaw→Hermes 迁移注意事项，包含 `hermes claw cleanup` 建议 [tool: read_file]\n8. TERMINAL `find backups/ -name \"*.json\" -o -name \"*.yaml\" -o -name \"*.env\"` — 找到备份的 .env 文件 [tool: terminal]\n9. TERMINAL `ls ~/.openclaw/credentials/` — 只有 telegram-pairing.json，无 OpenAI 相关凭据 [tool: terminal]\n10. TERMINAL `python3` 解析 openclaw.json — 发现 `openai-codex/gpt-5.4` 模型配置，但无 API key [tool: terminal]\n11. TERMINAL `ls ~/.codex/` — 不存在 [tool: terminal]\n12. TERMINAL `find ~/.openclaw -name \"*.json\" | xargs grep -l \"openai\\|api.key\\|sk-\"` — 找到 auth-profiles.json 等文件 [tool: terminal]\n\n## Active State\n- 工作目录：`/home/kuhnn`\n- 查找结果：OpenClaw 迁移报告中显示支持 `OPENAI_API_KEY` 和 `VOICE_TOOLS_OPENAI_KEY`，但实际没有找到任何 OpenAI API Key\n- `auth.json` 中只有 `minimax-cn` provider\n- `.env` 中无 OpenAI 凭据\n- `.openclaw/credentials/` 目录中只有 Telegram 配对文件\n\n## Blocked\nOpenClaw 迁移时**没有**将 OpenAI API Key 迁移过来。report.json 显示 `migrate_secrets: \"[redacted]\"`，说明迁移过程中敏感信息处理了，但最终 `auth.json` 中没有 OpenAI provider，说明要么 OpenClaw 当时就没有保存 OpenAI key，要么迁移时被过滤了。\n\n## Key Decisions\n- 之前已将 `config.yaml` 中 `auxiliary.vision.provider` 从 `auto` 改为 `openai`，但 `api_key` 为空\n- 确认 MiniMax M2.7 的 `/anthropic/v1/messages` 接口**不支持图片输入**，需要第三方 vision 模型\n- 用户有 ChatGPT 订阅，但订阅本身≠API Key，需要从 platform.openai.com 单独创建\n\n## Resolved Questions\n- MiniMax M2.7 原生 vision 问题：确认是 API 路径问题，不是模型能力问题\n- OpenClaw 的 OpenAI key 是否存在：检查了多处（.env、auth.json、openclaw.json、credentials/、codex/），均**未找到**\n\n## Pending User Asks\n用户问：\"你查看一下之前openclaw的配置信息，看看chatgpt的key是否还可用？\"\n**结论：不可用，没有找到任何 OpenAI API Key。用户需要从 platform.openai.com 重新创建一个 API Key 并提供给我。**\n\n## Relevant Files\n- `/home/kuhnn/.hermes/config.yaml` — `auxiliary.vision.provider` 已改为 `openai`，`api_key` 待填充\n- `/home/kuhnn/.openclaw/openclaw.json` — 包含 `openai-codex/gpt-5.4` 模型引用，无 key\n- `/home/kuhnn/.hermes/auth.json` — 只有 minimax-cn credential，无 OpenAI\n- `/home/kuhnn/.hermes/.env` — 无 OpenAI 凭据\n- `/home/kuhnn/.hermes/migration/openclaw/20260518T001900/report.json` — 迁移报告，显示支持 OPENAI_API_KEY 但未实际迁移\n- `/home/kuhnn/.hermes/migration/openclaw/20260518T001900/MIGRATION_NOTES.md` — 迁移注意事项\n\n## Remaining Work\n- 用户需要从 https://platform.openai.com/api-keys 创建新的 API Key\n- 拿到 key 后，填入 config.yaml 的 `auxiliary.vision.api_key`\n- 重启 Hermes agent 后测试 vision_analyze 是否正常工作\n\n## Critical Context\n- **Vision 问题根因**：MiniMax M2.7 的 `/anthropic/v1/messages` 接口不支持在 tool result 中传递图片，vision_analyze 工具走 auxiliary client 路径会失败\n- **config.yaml 当前 vision 配置**：`provider: openai`，`model: gpt-4o`，`api_key: ''`（空）\n- **MiniMax Plus 极速版配额**：M2.7=1500请求/5小时，Image Gen=100/天，Speech 2.8 TTS=9000字符/天，Music=100/天 — vision 不在配额内，是模型内置能力但需要正确传递方式\n- **OpenClaw 迁移时间**：20260518T001900\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_9bet9mhf15au_1",
"call_id": "call_function_9bet9mhf15au_1",
"response_item_id": "fc_function_9bet9mhf15au_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"python3 -c \\\"\\nimport json\\nwith open('/home/kuhnn/.openclaw/agents/main/agent/auth-profiles.json') as f:\\n d = json.load(f)\\n# Redact keys\\ndef r(obj):\\n if isinstance(obj, dict):\\n return {k: r(v) if k.lower() not in ['key','token','secret','id','name'] else '' for k,v in obj.items()}\\n return obj\\nprint(json.dumps(r(d), indent=2, ensure_ascii=False)[:5000])\\n\\\" 2>/dev/null\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Let me check the auth-profiles.json to see what OpenAI credentials might be stored there.",
"reasoning_content": "Let me check the auth-profiles.json to see what OpenAI credentials might be stored there.",
"reasoning_details": [
{
"signature": "cdd4796c2c13877244238dbecaec9e80f1b17d798cbed377b56f8f7718e73ee4",
"thinking": "Let me check the auth-profiles.json to see what OpenAI credentials might be stored there.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"{\\n \\\"version\\\": 1,\\n \\\"profiles\\\": {\\n \\\"openai-codex:default\\\": {\\n \\\"type\\\": \\\"oauth\\\",\\n \\\"provider\\\": \\\"openai-codex\\\",\\n \\\"access\\\": \\\"eyJhbG...oTh0\\\",\\n \\\"refresh\\\": \\\"rt_NAB2U1GV8twI_T4IponZrdwGHQ4NM-Rp5bSj0Qfs_as.236_LJLrpDz3O0i_araCDdrU1U2R_mQIjoQde9y1gk8\\\",\\n \\\"expires\\\": 1773970873776,\\n \\\"accountId\\\": \\\"78a2bfbd-0e33-42d8-bd67-aa0a5636dfe9\\\"\\n }\\n },\\n \\\"usageStats\\\": {\\n \\\"openai-codex:default\\\": {\\n \\\"errorCount\\\": 0,\\n \\\"lastUsed\\\": 1773108166455\\n }\\n }\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_9bet9mhf15au_1"
},
{
"role": "assistant",
"content": "找到了！OpenClaw 的认证配置里有 **OpenAI Codex OAuth**（`openai-codex:default`），这说明你之前用的是 GPT-5.4 through Codex。\n\n但这是 OAuth 会话认证，**不是 API Key**。你的 ChatGPT Plus 订阅是否有独立的 API Key？\n\n**你需要做的：**\n1. 去 https://platform.openai.com/api-keys 看看有没有已创建的 API Key\n2. 如果没有，点 \"Create new secret key\" 创建一个\n\n你有 OpenAI API Key 吗？格式是 `sk-...`。",
"reasoning": "I found it! There's an OpenAI Codex OAuth entry in the OpenClaw auth profiles. This means the user has an active OpenAI Codex OAuth session. However, this is for OpenAI Codex CLI, not for the API.\n\nBut wait - the user said they have a \"ChatGPT subscription\". Let me check if there's a direct API key or if there's another way to get vision working.\n\nActually, looking at the migration report earlier, it mentioned:\n- `\"incoming\": \"openai-codex/gpt-5.4\"` - this was the user's model in OpenClaw\n- The user migrated from OpenClaw (GPT-5.4/Codex) to Hermes (MiniMax-M2.7)\n\n\n- The auth profiles confirm OpenAI Codex OAuth is active with valid tokens, so the user definitely has an authenticated OpenAI session\n\nNow I need to figure out if there's a way to leverage these OpenAI credentials for the vision tool in Hermes, since the current setup only has MiniMax configured. The real issue is that ChatGPT Plus doesn't automatically grant API access—I need to check if the user has actually created an OpenAI API key from their platform settings.",
"reasoning_content": "I found it! There's an OpenAI Codex OAuth entry in the OpenClaw auth profiles. This means the user has an active OpenAI Codex OAuth session. However, this is for OpenAI Codex CLI, not for the API.\n\nBut wait - the user said they have a \"ChatGPT subscription\". Let me check if there's a direct API key or if there's another way to get vision working.\n\nActually, looking at the migration report earlier, it mentioned:\n- `\"incoming\": \"openai-codex/gpt-5.4\"` - this was the user's model in OpenClaw\n- The user migrated from OpenClaw (GPT-5.4/Codex) to Hermes (MiniMax-M2.7)\n\n\n- The auth profiles confirm OpenAI Codex OAuth is active with valid tokens, so the user definitely has an authenticated OpenAI session\n\nNow I need to figure out if there's a way to leverage these OpenAI credentials for the vision tool in Hermes, since the current setup only has MiniMax configured. The real issue is that ChatGPT Plus doesn't automatically grant API access—I need to check if the user has actually created an OpenAI API key from their platform settings.",
"reasoning_details": [
{
"signature": "a42b67dde75a8d5af5caf375f0fbb6010a7020125fffeef9286c5400e381db02",
"thinking": "I found it! There's an OpenAI Codex OAuth entry in the OpenClaw auth profiles. This means the user has an active OpenAI Codex OAuth session. However, this is for OpenAI Codex CLI, not for the API.\n\nBut wait - the user said they have a \"ChatGPT subscription\". Let me check if there's a direct API key or if there's another way to get vision working.\n\nActually, looking at the migration report earlier, it mentioned:\n- `\"incoming\": \"openai-codex/gpt-5.4\"` - this was the user's model in OpenClaw\n- The user migrated from OpenClaw (GPT-5.4/Codex) to Hermes (MiniMax-M2.7)\n\n\n- The auth profiles confirm OpenAI Codex OAuth is active with valid tokens, so the user definitely has an authenticated OpenAI session\n\nNow I need to figure out if there's a way to leverage these OpenAI credentials for the vision tool in Hermes, since the current setup only has MiniMax configured. The real issue is that ChatGPT Plus doesn't automatically grant API access—I need to check if the user has actually created an OpenAI API key from their platform settings.",
"type": "thinking"
}
],
"finish_reason": "stop"
},
{
"role": "user",
"content": "那我也用认证的方式链接chatgpt给你可以吗？"
},
{
"role": "assistant",
"content": "可以的，但有个问题需要确认。\n\nOpenClaw 当时用的是 **OAuth（会话认证）** 连接 OpenAI Codex，这需要特定的 OAuth flow 实现。让我看看 Hermes 是否支持 OpenAI OAuth 登录：",
"tool_calls": [
{
"id": "call_function_uv05wk926ful_1",
"call_id": "call_function_uv05wk926ful_1",
"response_item_id": "fc_function_uv05wk926ful_1",
"type": "function",
"function": {
"name": "search_files",
"arguments": "{\"pattern\": \"oauth.*openai|openai.*oauth\", \"path\": \"/home/kuhnn/.hermes\", \"file_glob\": \"*.py\"}"
}
},
{
"id": "call_function_uv05wk926ful_2",
"call_id": "call_function_uv05wk926ful_2",
"response_item_id": "fc_function_uv05wk926ful_2",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"grep -r \\\"oauth\\\" /home/kuhnn/.hermes/providers/ 2>/dev/null | head -20\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The user is asking if they can use OAuth/authentication method to connect ChatGPT to me. Let me think about this...\n\nLooking at the context, OpenClaw used `openai-codex` with OAuth. The auth-profiles.json shows:\n- type: oauth\n- provider: openai-codex\n- access token and refresh token\n- account ID\n\nThis means OpenClaw had a valid OAuth connection to OpenAI Codex. But what does \"link ChatGPT via authentication\" mean for Hermes?\n\nLooking at the Hermes config, the auxiliary.vision.provider is set to `openai` with model `gpt-4o`. For OpenAI, Hermes supports either:\n\n\n1. API Key (sk-xxx)\n2. OAuth - but does Hermes support OAuth for OpenAI providers?\n\nExamining the available OpenAI providers in the codebase, they all use API keys directly. OAuth authentication like what OpenClaw used isn't currently supported as a configuration option in Hermes, so I'd need to ask the user for an API key instead.\n\nThe user might have a ChatGPT Plus subscription with access to both the API and Plus features. While Codex with OAuth was available before, I'm not sure if Hermes has native OAuth support for OpenAI - the most straightforward path would be using a traditional API key, which is the standard approach for most users.",
"reasoning_content": "The user is asking if they can use OAuth/authentication method to connect ChatGPT to me. Let me think about this...\n\nLooking at the context, OpenClaw used `openai-codex` with OAuth. The auth-profiles.json shows:\n- type: oauth\n- provider: openai-codex\n- access token and refresh token\n- account ID\n\nThis means OpenClaw had a valid OAuth connection to OpenAI Codex. But what does \"link ChatGPT via authentication\" mean for Hermes?\n\nLooking at the Hermes config, the auxiliary.vision.provider is set to `openai` with model `gpt-4o`. For OpenAI, Hermes supports either:\n\n\n1. API Key (sk-xxx)\n2. OAuth - but does Hermes support OAuth for OpenAI providers?\n\nExamining the available OpenAI providers in the codebase, they all use API keys directly. OAuth authentication like what OpenClaw used isn't currently supported as a configuration option in Hermes, so I'd need to ask the user for an API key instead.\n\nThe user might have a ChatGPT Plus subscription with access to both the API and Plus features. While Codex with OAuth was available before, I'm not sure if Hermes has native OAuth support for OpenAI - the most straightforward path would be using a traditional API key, which is the standard approach for most users.",
"reasoning_details": [
{
"signature": "5a961eadeaea66541bbf0c472d3d4aa0fea59f3e7a2bbb0dcd80530a300b2286",
"thinking": "The user is asking if they can use OAuth/authentication method to connect ChatGPT to me. Let me think about this...\n\nLooking at the context, OpenClaw used `openai-codex` with OAuth. The auth-profiles.json shows:\n- type: oauth\n- provider: openai-codex\n- access token and refresh token\n- account ID\n\nThis means OpenClaw had a valid OAuth connection to OpenAI Codex. But what does \"link ChatGPT via authentication\" mean for Hermes?\n\nLooking at the Hermes config, the auxiliary.vision.provider is set to `openai` with model `gpt-4o`. For OpenAI, Hermes supports either:\n\n\n1. API Key (sk-xxx)\n2. OAuth - but does Hermes support OAuth for OpenAI providers?\n\nExamining the available OpenAI providers in the codebase, they all use API keys directly. OAuth authentication like what OpenClaw used isn't currently supported as a configuration option in Hermes, so I'd need to ask the user for an API key instead.\n\nThe user might have a ChatGPT Plus subscription with access to both the API and Plus features. While Codex with OAuth was available before, I'm not sure if Hermes has native OAuth support for OpenAI - the most straightforward path would be using a traditional API key, which is the standard approach for most users.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"total_count\": 17, \"matches\": [{\"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/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/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\": 2237, \"content\": \" _log.info(\\\"oauth/device: openai-codex login completed (session=%s)\\\", session_id)\"}, {\"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/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\": 4932, \"content\": \" if provider in {\\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\"}:\"}, {\"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_commands.py\", \"line\": 36, \"content\": \"_OAUTH_CAPABLE_PROVIDERS = {\\\"anthropic\\\", \\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\", \\\"qwen-oauth\\\", \\\"google-gemini-cli\\\", \\\"minimax-oauth\\\"}\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/models.py\", \"line\": 3467, \"content\": \" if normalized in {\\\"openai-codex\\\", \\\"xai-oauth\\\"}:\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/tests/run_agent/test_run_agent_codex_responses.py\", \"line\": 641, \"content\": \" handler that fires for openai-codex must also fire for xai-oauth — the\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/tests/hermes_cli/test_api_key_providers.py\", \"line\": 138, \"content\": \" assert PROVIDER_REGISTRY[\\\"openai-codex\\\"].auth_type == \\\"oauth_external\\\"\"}, {\"path\": \"/home/kuhnn/.hermes/hermes-agent/tests/hermes_cli/test_auth_xai_oauth_provider.py\", \"line\": 1088, \"content\": \" must work for xai-oauth alongside openai-codex — otherwise mid-call\"}]}",
"tool_call_id": "call_function_uv05wk926ful_1"
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_uv05wk926ful_2"
},
{
"role": "assistant",
"content": "Hermes **支持** `openai-codex` OAuth！让我看看怎么启动登录：",
"tool_calls": [
{
"id": "call_function_mr3fdrorvy3c_1",
"call_id": "call_function_mr3fdrorvy3c_1",
"response_item_id": "fc_function_mr3fdrorvy3c_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && grep -n \\\"oauth/login\\\\|openai-codex.*login\\\\|device_code\\\\|hermes.*login\\\" hermes_cli/auth.py | head -30\"}"
}
},
{
"id": "call_function_mr3fdrorvy3c_2",
"call_id": "call_function_mr3fdrorvy3c_2",
"response_item_id": "fc_function_mr3fdrorvy3c_2",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && grep -n \\\"openai-codex\\\" hermes_cli/auth_commands.py | head -30\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Great, Hermes does support OpenAI Codex OAuth (`openai-codex`). The auth.py file has CODEX_OAUTH_TOKEN_URL. Let me check how to initiate the OAuth flow.",
"reasoning_content": "Great, Hermes does support OpenAI Codex OAuth (`openai-codex`). The auth.py file has CODEX_OAUTH_TOKEN_URL. Let me check how to initiate the OAuth flow.",
"reasoning_details": [
{
"signature": "8ab89cebaa672b9d130b787b5bff55071ee37c7cf9a8e8fb1f28f883c23bfc0a",
"thinking": "Great, Hermes does support OpenAI Codex OAuth (`openai-codex`). The auth.py file has CODEX_OAUTH_TOKEN_URL. Let me check how to initiate the OAuth flow.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"149: auth_type: str # \\\"oauth_device_code\\\", \\\"oauth_external\\\", \\\"oauth_minimax\\\", or \\\"api_key\\\"\\n165: auth_type=\\\"oauth_device_code\\\",\\n3309:def _request_device_code(\\n3315: \\\"\\\"\\\"POST to the device code endpoint. Returns device_code, user_code, etc.\\\"\\\"\\\"\\n3327: \\\"device_code\\\", \\\"user_code\\\", \\\"verification_uri\\\",\\n3340: device_code: str,\\n3352: \\\"grant_type\\\": \\\"urn:ietf:params:oauth:grant-type:device_code\\\",\\n3354: \\\"device_code\\\": device_code,\\n4046:NOUS_DEVICE_CODE_SOURCE = \\\"device_code\\\"\\n4064: Historically ``hermes auth add nous`` wrote a ``manual:device_code`` pool\\n4070: ``_seed_from_singletons`` materialises the canonical ``device_code`` pool\\n4072: place; the pool never accumulates duplicate device_code rows.\\n4445:# mtime so that `hermes auth login/logout/add/remove` invalidate naturally on the next call.\\n4556: # `hermes model` store device_code tokens.\\n5151: print(\\\"The 'hermes login' command has been removed.\\\")\\n5219: creds = _codex_device_code_login()\\n5297: # `referrer=hermes-agent` lets xAI attribute Hermes-originated logins\\n5540:def _codex_device_code_login() -> Dict[str, Any]:\\n5558: provider=\\\"openai-codex\\\", code=\\\"device_code_request_failed\\\",\\n5564: provider=\\\"openai-codex\\\", code=\\\"device_code_request_error\\\",\\n5575: provider=\\\"openai-codex\\\", code=\\\"device_code_incomplete\\\",\\n5609: provider=\\\"openai-codex\\\", code=\\\"device_code_poll_error\\\",\\n5618: provider=\\\"openai-codex\\\", code=\\\"device_code_timeout\\\",\\n5629: provider=\\\"openai-codex\\\", code=\\\"device_code_incomplete_exchange\\\",\\n6024:def _nous_device_code_login(\\n6065: device_data = _request_device_code(\\n6096: device_code=str(device_data[\\\"device_code\\\"]),\\n6196: auth_state = _nous_device_code_login(\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_mr3fdrorvy3c_1"
},
{
"role": "tool",
"content": "{\"output\": \"36:_OAUTH_CAPABLE_PROVIDERS=*** \\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\", \\\"qwen-oauth\\\", \\\"google-gemini-cli\\\", \\\"minimax-oauth\\\"}\\n313: if provider == \\\"openai-codex\\\":\\n315: # remove openai-codex` works without the new tokens being skipped.\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_mr3fdrorvy3c_2"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_ektvjybamj72_1",
"call_id": "call_function_ektvjybamj72_1",
"response_item_id": "fc_function_ektvjybamj72_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && python3 -c \\\"\\nfrom hermes_cli.auth_commands import do_auth_add\\nimport inspect\\nsig = inspect.signature(do_auth_add)\\nprint(sig)\\nprint('---')\\nprint(inspect.getsource(do_auth_add)[:2000])\\n\\\" 2>/dev/null\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "There's a `hermes auth add openai-codex` command that uses device code OAuth flow. Let me check what the command actually does and what the user needs to do.",
"reasoning_content": "There's a `hermes auth add openai-codex` command that uses device code OAuth flow. Let me check what the command actually does and what the user needs to do.",
"reasoning_details": [
{
"signature": "dd29f1a68c93e5895787be51a3e35de2ad2326403bb2112c9e2473cb5e581c4f",
"thinking": "There's a `hermes auth add openai-codex` command that uses device code OAuth flow. Let me check what the command actually does and what the user needs to do.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 1, \"error\": null}",
"tool_call_id": "call_function_ektvjybamj72_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_lflf1juvplkm_1",
"call_id": "call_function_lflf1juvplkm_1",
"response_item_id": "fc_function_lflf1juvplkm_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && grep -n \\\"hermes auth add\\\\|auth add.*openai\\\\|codex\\\" hermes_cli/main.py | head -30\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Let me try a different approach to understand the auth flow for openai-codex.",
"reasoning_content": "Let me try a different approach to understand the auth flow for openai-codex.",
"reasoning_details": [
{
"signature": "97f63295e0e3d53f99facc2790216448b683ab5a34994c6e502d00ea224f6c1b",
"thinking": "Let me try a different approach to understand the auth flow for openai-codex.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"2007: elif selected_provider == \\\"openai-codex\\\":\\n2008: _model_flow_openai_codex(config, current_model)\\n2802:def _model_flow_openai_codex(config, current_model=\\\"\\\"):\\n2805: get_codex_auth_status,\\n2809: _login_openai_codex,\\n2813: from hermes_cli.codex_models import get_codex_model_ids\\n2815: status = get_codex_auth_status()\\n2833: _login_openai_codex(\\n2835: PROVIDER_REGISTRY[\\\"openai-codex\\\"],\\n2844: status = get_codex_auth_status()\\n2855: _login_openai_codex(mock_args, PROVIDER_REGISTRY[\\\"openai-codex\\\"])\\n2863: _codex_token = None\\n2867: _codex_status = get_codex_auth_status()\\n2868: if _codex_status.get(\\\"logged_in\\\"):\\n2869: _codex_token = _codex_status.get(\\\"api_key\\\")\\n2872: if not _codex_token:\\n2874: from hermes_cli.auth import resolve_codex_runtime_credentials\\n2876: _codex_creds = resolve_codex_runtime_credentials()\\n2877: _codex_token = _codex_creds.get(\\\"api_key\\\")\\n2881: codex_models = get_codex_model_ids(access_token=_codex_token)\\n2883: selected = _prompt_model_selection(codex_models, current_model=current_model)\\n2886: _update_config_for_provider(\\\"openai-codex\\\", DEFAULT_CODEX_BASE_URL)\\n2952: # live only in the pool (e.g. after ``hermes auth add xai-oauth``). Fall\\n3244: # Prompt for API compatibility mode explicitly so codex-compatible custom\\n3389: \\\"codex_responses\\\",\\n3427: if raw in {\\\"3\\\", \\\"responses\\\", \\\"codex\\\", \\\"codex_responses\\\"}:\\n3428: return \\\"codex_responses\\\"\\n9712: \\\"auto\\\", \\\"openrouter\\\", \\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\", \\\"copilot-acp\\\", \\\"copilot\\\",\\n10261: choices=[\\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\"],\\n10307: choices=[\\\"nous\\\", \\\"openai-codex\\\", \\\"xai-oauth\\\", \\\"spotify\\\"],\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_lflf1juvplkm_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_o56jjieeahlu_1",
"call_id": "call_function_o56jjieeahlu_1",
"response_item_id": "fc_function_o56jjieeahlu_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && grep -n \\\"_login_openai_codex\\\\|def _login_openai_codex\\\" hermes_cli/*.py\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Now I understand the flow. There's a `_login_openai_codex` function. Let me find the CLI command to trigger this OAuth login.\n\nLooking at line 2809: `_login_openai_codex`. And line 2007: `elif selected_provider == \"openai-codex\": _model_flow_openai_codex(config, current_model)`.\n\nSo the command would be `hermes model` and then select `openai-codex` as the provider, which would trigger the OAuth flow.\n\nBut wait - the vision config is separate. The `auxiliary.vision` uses OpenAI, not the main model. Let me check if there's a way to authenticate OpenAI for vision purposes specifically.\n\n\nActually, I'm seeing that `openai-codex` is a full model provider, while `auxiliary.vision` with `provider: openai` would just be for the vision tool. Since `openai-codex` supports the Codex API mode and has vision capabilities through `gpt-4o`, the OAuth flow there would handle the vision authentication too.\n\nThe question is whether I can add `openai-codex` as a model provider while keeping the vision config as-is, or if I need to handle them separately. Let me trace through the `_login_openai_codex` function to see how the authentication actually works.",
"reasoning_content": "Now I understand the flow. There's a `_login_openai_codex` function. Let me find the CLI command to trigger this OAuth login.\n\nLooking at line 2809: `_login_openai_codex`. And line 2007: `elif selected_provider == \"openai-codex\": _model_flow_openai_codex(config, current_model)`.\n\nSo the command would be `hermes model` and then select `openai-codex` as the provider, which would trigger the OAuth flow.\n\nBut wait - the vision config is separate. The `auxiliary.vision` uses OpenAI, not the main model. Let me check if there's a way to authenticate OpenAI for vision purposes specifically.\n\n\nActually, I'm seeing that `openai-codex` is a full model provider, while `auxiliary.vision` with `provider: openai` would just be for the vision tool. Since `openai-codex` supports the Codex API mode and has vision capabilities through `gpt-4o`, the OAuth flow there would handle the vision authentication too.\n\nThe question is whether I can add `openai-codex` as a model provider while keeping the vision config as-is, or if I need to handle them separately. Let me trace through the `_login_openai_codex` function to see how the authentication actually works.",
"reasoning_details": [
{
"signature": "48f2748177aba0799118645903406eb7e6eddd8b202c0b7372942c985e0cb2c6",
"thinking": "Now I understand the flow. There's a `_login_openai_codex` function. Let me find the CLI command to trigger this OAuth login.\n\nLooking at line 2809: `_login_openai_codex`. And line 2007: `elif selected_provider == \"openai-codex\": _model_flow_openai_codex(config, current_model)`.\n\nSo the command would be `hermes model` and then select `openai-codex` as the provider, which would trigger the OAuth flow.\n\nBut wait - the vision config is separate. The `auxiliary.vision` uses OpenAI, not the main model. Let me check if there's a way to authenticate OpenAI for vision purposes specifically.\n\n\nActually, I'm seeing that `openai-codex` is a full model provider, while `auxiliary.vision` with `provider: openai` would just be for the vision tool. Since `openai-codex` supports the Codex API mode and has vision capabilities through `gpt-4o`, the OAuth flow there would handle the vision authentication too.\n\nThe question is whether I can add `openai-codex` as a model provider while keeping the vision config as-is, or if I need to handle them separately. Let me trace through the `_login_openai_codex` function to see how the authentication actually works.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"hermes_cli/auth.py:5157:def _login_openai_codex(\\nhermes_cli/main.py:2809: _login_openai_codex,\\nhermes_cli/main.py:2833: _login_openai_codex(\\nhermes_cli/main.py:2855: _login_openai_codex(mock_args, PROVIDER_REGISTRY[\\\"openai-codex\\\"])\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_o56jjieeahlu_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_17iudifv4v0t_1",
"call_id": "call_function_17iudifv4v0t_1",
"response_item_id": "fc_function_17iudifv4v0t_1",
"type": "function",
"function": {
"name": "read_file",
"arguments": "{\"path\": \"/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py\", \"offset\": 5157, \"limit\": 80}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Let me look at the `_login_openai_codex` function to understand the OAuth flow:",
"reasoning_content": "Let me look at the `_login_openai_codex` function to understand the OAuth flow:",
"reasoning_details": [
{
"signature": "521d862adc657ddbb267b24045ccc12b19fbaaf2b1d79b92a30aee704a14528e",
"thinking": "Let me look at the `_login_openai_codex` function to understand the OAuth flow:",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"content\": \" 5157|def _login_openai_codex(\\n 5158| args,\\n 5159| pconfig: ProviderConfig,\\n 5160| *,\\n 5161| force_new_login: bool = False,\\n 5162|) -> None:\\n 5163| \\\"\\\"\\\"OpenAI Codex login via device code flow. Tokens stored in ~/.hermes/auth.json.\\\"\\\"\\\"\\n 5164|\\n 5165| del args, pconfig # kept for parity with other provider login helpers\\n 5166|\\n 5167| # Check for existing Hermes-owned credentials\\n 5168| if not force_new_login:\\n 5169| try:\\n 5170| existing = resolve_codex_runtime_credentials()\\n 5171| # Verify the resolved token is actually usable (not expired).\\n 5172| # resolve_codex_runtime_credentials attempts refresh, so if we get\\n 5173| # here the token should be valid — but double-check before telling\\n 5174| # the user \\\"Login successful!\\\".\\n 5175| _resolved_key = existing.get(\\\"api_key\\\", \\\"\\\")\\n 5176| if isinstance(_resolved_key, str) and _resolved_key and not _codex_access_token_is_expiring(_resolved_key, 60):\\n 5177| print(\\\"Existing Codex credentials found in Hermes auth store.\\\")\\n 5178| try:\\n 5179| reuse = input(\\\"Use existing credentials? [Y/n]: \\\").strip().lower()\\n 5180| except (EOFError, KeyboardInterrupt):\\n 5181| reuse = \\\"y\\\"\\n 5182| if reuse in {\\\"\\\", \\\"y\\\", \\\"yes\\\"}:\\n 5183| config_path = _update_config_for_provider(\\\"openai-codex\\\", existing.get(\\\"base_url\\\", DEFAULT_CODEX_BASE_URL))\\n 5184| print()\\n 5185| print(\\\"Login successful!\\\")\\n 5186| print(f\\\" Config updated: {config_path} (model.provider=openai-codex)\\\")\\n 5187| return\\n 5188| else:\\n 5189| print(\\\"Existing Codex credentials are expired. Starting fresh login...\\\")\\n 5190| except AuthError:\\n 5191| pass\\n 5192|\\n 5193| # Check for existing Codex CLI tokens we can import\\n 5194| if not force_new_login:\\n 5195| cli_tokens = _import_codex_cli_tokens()\\n 5196| if cli_tokens:\\n 5197| print(\\\"Found existing Codex CLI credentials at ~/.codex/auth.json\\\")\\n 5198| print(\\\"Hermes will create its own session to avoid conflicts with Codex CLI / VS Code.\\\")\\n 5199| try:\\n 5200| do_import = input(\\\"Import these credentials? (a separate login is recommended) [y/N]: \\\").strip().lower()\\n 5201| except (EOFError, KeyboardInterrupt):\\n 5202| do_import = \\\"n\\\"\\n 5203| if do_import in {\\\"y\\\", \\\"yes\\\"}:\\n 5204| _save_codex_tokens(cli_tokens)\\n 5205| base_url = os.getenv(\\\"HERMES_CODEX_BASE_URL\\\", \\\"\\\").strip().rstrip(\\\"/\\\") or DEFAULT_CODEX_BASE_URL\\n 5206| config_path = _update_config_for_provider(\\\"openai-codex\\\", base_url)\\n 5207| print()\\n 5208| print(\\\"Credentials imported. Note: if Codex CLI refreshes its token,\\\")\\n 5209| print(\\\"Hermes will keep working independently with its own session.\\\")\\n 5210| print(f\\\" Config updated: {config_path} (model.provider=openai-codex)\\\")\\n 5211| return\\n 5212|\\n 5213| # Run a fresh device code flow — Hermes gets its own OAuth session\\n 5214| print()\\n 5215| print(\\\"Signing in to OpenAI Codex...\\\")\\n 5216| print(\\\"(Hermes creates its own session — won't affect Codex CLI or VS Code)\\\")\\n 5217| print()\\n 5218|\\n 5219| creds = _codex_device_code_login()\\n 5220|\\n 5221| # Save tokens to Hermes auth store\\n 5222| _save_codex_tokens(creds[\\\"tokens\\\"], creds.get(\\\"last_refresh\\\"))\\n 5223| config_path = _update_config_for_provider(\\\"openai-codex\\\", creds.get(\\\"base_url\\\", DEFAULT_CODEX_BASE_URL))\\n 5224| print()\\n 5225| print(\\\"Login successful!\\\")\\n 5226| from hermes_constants import display_hermes_home as _dhh\\n 5227| print(f\\\" Auth state: {_dhh()}/auth.json\\\")\\n 5228| print(f\\\" Config updated: {config_path} (model.provider=openai-codex)\\\")\\n 5229|\\n 5230|\\n 5231|def _login_xai_oauth(\\n 5232| args,\\n 5233| pconfig: ProviderConfig,\\n 5234| *,\\n 5235| force_new_login: bool = False,\\n 5236|) -> None:\\n 5237|\", \"total_lines\": 6366, \"file_size\": 250238, \"truncated\": true, \"hint\": \"Use offset=5237 to continue reading (showing 5157-5236 of 6366 lines)\", \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_function_17iudifv4v0t_1"
},
{
"role": "assistant",
"content": "**可以的！** Hermes 支持 OpenAI Codex OAuth 登录。步骤如下：\n\n**1. 在服务器上运行：**\n```bash\nhermes auth add openai-codex\n```\n\n这会启动 Device Code 登录流程，你会得到一个链接和验证码。\n\n**2. 你需要做的是：**\n- 在你电脑上打开这个链接并登录 ChatGPT\n- 输入显示的验证码\n\n要我直接执行 `hermes auth add openai-codex` 吗？",
"reasoning": "Now I have a clear picture. Hermes supports OpenAI Codex OAuth login via device code flow. The command to use would be `hermes auth add openai-codex` or similar. Let me check what the actual CLI command is.",
"reasoning_content": "Now I have a clear picture. Hermes supports OpenAI Codex OAuth login via device code flow. The command to use would be `hermes auth add openai-codex` or similar. Let me check what the actual CLI command is.",
"reasoning_details": [
{
"signature": "1798b0a8d913c4a14290232beaa971161569d7457e7070397190e4e238aa3c0d",
"thinking": "Now I have a clear picture. Hermes supports OpenAI Codex OAuth login via device code flow. The command to use would be `hermes auth add openai-codex` or similar. Let me check what the actual CLI command is.",
"type": "thinking"
}
],
"finish_reason": "stop"
},
{
"role": "user",
"content": "执行"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_emt6096v70wj_1",
"call_id": "call_function_emt6096v70wj_1",
"response_item_id": "fc_function_emt6096v70wj_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && hermes auth add openai-codex\", \"pty\": true, \"timeout\": 120}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "User wants me to execute the command. This will require interactive input (the device code flow asks questions), so I need to use PTY mode. Let me run it.",
"reasoning_content": "User wants me to execute the command. This will require interactive input (the device code flow asks questions), so I need to use PTY mode. Let me run it.",
"reasoning_details": [
{
"signature": "997f356f4b8ae49d08d489fb5d58d88cc8e24db77c5b5f79e01cf041005aca79",
"thinking": "User wants me to execute the command. This will require interactive input (the device code flow asks questions), so I need to use PTY mode. Let me run it.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"[Command timed out after 120s]\", \"exit_code\": 124, \"error\": null}",
"tool_call_id": "call_function_emt6096v70wj_1"
},
{
"role": "assistant",
"content": "卡住了，需要交互。让我用强制模式跳过现有凭证检查：",
"tool_calls": [
{
"id": "call_function_6em8le2f2xic_1",
"call_id": "call_function_6em8le2f2xic_1",
"response_item_id": "fc_function_6em8le2f2xic_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && echo \\\"n\\\" | hermes auth add openai-codex 2>&1 | head -30\", \"timeout\": 30}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The command timed out, probably waiting for user input. Let me try a different approach - maybe I can run it non-interactively with force_new_login=True, or check if there's a way to see the device code URL without interactive prompt.\n\nActually, looking at the code, the device code flow requires user interaction to enter the验证码. The timeout happened because the command was waiting for input.\n\nLet me try with force_new_login to skip the \"use existing credentials?\" prompt, or try a different approach.\n\nActually, looking more carefully, the first thing it does is check for existing credentials and asks \"Use existing credentials? [Y/n]\". Since we're in a PTY, maybe it hung somewhere. Let me try with force=True to skip the existing credential check.",
"reasoning_content": "The command timed out, probably waiting for user input. Let me try a different approach - maybe I can run it non-interactively with force_new_login=True, or check if there's a way to see the device code URL without interactive prompt.\n\nActually, looking at the code, the device code flow requires user interaction to enter the验证码. The timeout happened because the command was waiting for input.\n\nLet me try with force_new_login to skip the \"use existing credentials?\" prompt, or try a different approach.\n\nActually, looking more carefully, the first thing it does is check for existing credentials and asks \"Use existing credentials? [Y/n]\". Since we're in a PTY, maybe it hung somewhere. Let me try with force=True to skip the existing credential check.",
"reasoning_details": [
{
"signature": "237b2bd39f5aa08ec12673916ff708970b7f2849d2cb58bae8c081d417f612a4",
"thinking": "The command timed out, probably waiting for user input. Let me try a different approach - maybe I can run it non-interactively with force_new_login=True, or check if there's a way to see the device code URL without interactive prompt.\n\nActually, looking at the code, the device code flow requires user interaction to enter the验证码. The timeout happened because the command was waiting for input.\n\nLet me try with force_new_login to skip the \"use existing credentials?\" prompt, or try a different approach.\n\nActually, looking more carefully, the first thing it does is check for existing credentials and asks \"Use existing credentials? [Y/n]\". Since we're in a PTY, maybe it hung somewhere. Let me try with force=True to skip the existing credential check.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"[Command timed out after 30s]\", \"exit_code\": 124, \"error\": null}",
"tool_call_id": "call_function_6em8le2f2xic_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_hh1w07v2m98p_1",
"call_id": "call_function_hh1w07v2m98p_1",
"response_item_id": "fc_function_hh1w07v2m98p_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && timeout 15 hermes auth add openai-codex --help 2>&1 || true\", \"timeout\": 20}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The command is timing out. Let me try a different approach - maybe I can see what the actual flow is. The issue might be that hermes auth add is trying to do something interactive that's hanging. Let me try to check if there's a way to run this non-interactively, or if I can use the API directly.\n\nActually, looking at the code again - the `_login_openai_codex` function calls `_codex_device_code_login()` which makes HTTP requests. The timeout might be in the network call. Let me check what this function does and if there's a way to run it non-interactively.\n\nActually, the real issue might be that the function is waiting for user input (the \"Use existing credentials? [Y/n]\" prompt). \n\nEven with echo \"n\" | piped in, it's still timing out, which suggests the problem isn't just stdin buffering - something in the device code login flow itself is hanging. Let me look at the `_codex_device_code_login` function to see if there's a network timeout or another blocking operation I need to address.",
"reasoning_content": "The command is timing out. Let me try a different approach - maybe I can see what the actual flow is. The issue might be that hermes auth add is trying to do something interactive that's hanging. Let me try to check if there's a way to run this non-interactively, or if I can use the API directly.\n\nActually, looking at the code again - the `_login_openai_codex` function calls `_codex_device_code_login()` which makes HTTP requests. The timeout might be in the network call. Let me check what this function does and if there's a way to run it non-interactively.\n\nActually, the real issue might be that the function is waiting for user input (the \"Use existing credentials? [Y/n]\" prompt). \n\nEven with echo \"n\" | piped in, it's still timing out, which suggests the problem isn't just stdin buffering - something in the device code login flow itself is hanging. Let me look at the `_codex_device_code_login` function to see if there's a network timeout or another blocking operation I need to address.",
"reasoning_details": [
{
"signature": "4f99b305f100724fd263b23d6ef33327e9e6eb7c59ee406dd50a65b93f58a884",
"thinking": "The command is timing out. Let me try a different approach - maybe I can see what the actual flow is. The issue might be that hermes auth add is trying to do something interactive that's hanging. Let me try to check if there's a way to run this non-interactively, or if I can use the API directly.\n\nActually, looking at the code again - the `_login_openai_codex` function calls `_codex_device_code_login()` which makes HTTP requests. The timeout might be in the network call. Let me check what this function does and if there's a way to run it non-interactively.\n\nActually, the real issue might be that the function is waiting for user input (the \"Use existing credentials? [Y/n]\" prompt). \n\nEven with echo \"n\" | piped in, it's still timing out, which suggests the problem isn't just stdin buffering - something in the device code login flow itself is hanging. Let me look at the `_codex_device_code_login` function to see if there's a network timeout or another blocking operation I need to address.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"usage: hermes auth add [-h] [--type {oauth,api-key,api_key}] [--label LABEL]\\n [--api-key API_KEY] [--portal-url PORTAL_URL]\\n [--inference-url INFERENCE_URL] [--client-id CLIENT_ID]\\n [--scope SCOPE] [--no-browser] [--timeout TIMEOUT]\\n [--insecure] [--ca-bundle CA_BUNDLE]\\n provider\\n\\npositional arguments:\\n provider Provider id (for example: anthropic, openai-codex,\\n openrouter)\\n\\noptions:\\n -h, --help show this help message and exit\\n --type {oauth,api-key,api_key}\\n Credential type to add\\n --label LABEL Optional display label\\n --api-key API_KEY API key value (otherwise prompted securely)\\n --portal-url PORTAL_URL\\n Nous portal base URL\\n --inference-url INFERENCE_URL\\n Nous inference base URL\\n --client-id CLIENT_ID\\n OAuth client id\\n --scope SCOPE OAuth scope override\\n --no-browser Do not auto-open a browser for OAuth login\\n --timeout TIMEOUT OAuth/network timeout in seconds\\n --insecure Disable TLS verification for OAuth login\\n --ca-bundle CA_BUNDLE\\n Custom CA bundle for OAuth login\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_hh1w07v2m98p_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_4mpjalpu8hlg_1",
"call_id": "call_function_4mpjalpu8hlg_1",
"response_item_id": "fc_function_4mpjalpu8hlg_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && timeout 30 hermes auth add openai-codex --type oauth --no-browser 2>&1\", \"timeout\": 35}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "I can use `--type oauth --no-browser` to start the OAuth flow without auto-opening a browser. This should give me the device code and verification URL without trying to open a browser.",
"reasoning_content": "I can use `--type oauth --no-browser` to start the OAuth flow without auto-opening a browser. This should give me the device code and verification URL without trying to open a browser.",
"reasoning_details": [
{
"signature": "139e8ab117fb174d33dba6c58a86e53cd82fea870543e4207870101226e6754d",
"thinking": "I can use `--type oauth --no-browser` to start the OAuth flow without auto-opening a browser. This should give me the device code and verification URL without trying to open a browser.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 124, \"error\": null}",
"tool_call_id": "call_function_4mpjalpu8hlg_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_mo4w2zj4gn44_1",
"call_id": "call_function_mo4w2zj4gn44_1",
"response_item_id": "fc_function_mo4w2zj4gn44_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && script -q -c \\\"timeout 20 hermes auth add openai-codex --type oauth --no-browser\\\" /dev/null 2>&1 || true\", \"timeout\": 25}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "It seems the command keeps timing out. Let me try running it in background mode with a PTY to see if it produces any output.",
"reasoning_content": "It seems the command keeps timing out. Let me try running it in background mode with a PTY to see if it produces any output.",
"reasoning_details": [
{
"signature": "5685f51a7babe1064e1843e714f886be8604191652f998263ca07adb7502b791",
"thinking": "It seems the command keeps timing out. Let me try running it in background mode with a PTY to see if it produces any output.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"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 8T5V-QC6FR\\r\\n\\r\\nWaiting for sign-in... (press Ctrl+C to cancel)\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_mo4w2zj4gn44_1"
},
{
"role": "assistant",
"content": "拿到验证码了！你需要在浏览器打开链接并输入验证码。\n\n让我重新获取一个新的验证码（确保没过期）：",
"tool_calls": [
{
"id": "call_function_ami3hlenubn5_1",
"call_id": "call_function_ami3hlenubn5_1",
"response_item_id": "fc_function_ami3hlenubn5_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && script -q -c \\\"hermes auth add openai-codex --type oauth --no-browser\\\" /dev/null 2>&1\", \"timeout\": 40}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Now I can see the device code flow. The user needs to:1. Open https://auth.openai.com/codex/device2. Enter the code 8T5V-QC6FR\n\nBut this is running in a script command which is blocking. The user can't see this in real-time on Telegram. Let me tell them the code and have them sign in, then I'll check if it succeeded.\n\nActually wait - the command already timed out (exit code 124 after 20 seconds), so this output might be from the last attempt. The code might have been different. Let me run it again so the user can see the current code.",
"reasoning_content": "Now I can see the device code flow. The user needs to:1. Open https://auth.openai.com/codex/device2. Enter the code 8T5V-QC6FR\n\nBut this is running in a script command which is blocking. The user can't see this in real-time on Telegram. Let me tell them the code and have them sign in, then I'll check if it succeeded.\n\nActually wait - the command already timed out (exit code 124 after 20 seconds), so this output might be from the last attempt. The code might have been different. Let me run it again so the user can see the current code.",
"reasoning_details": [
{
"signature": "c245c76a4f5aa8eea0cc6c74521a8fcc8fbe98743670d09915fb5d7863027528",
"thinking": "Now I can see the device code flow. The user needs to:1. Open https://auth.openai.com/codex/device2. Enter the code 8T5V-QC6FR\n\nBut this is running in a script command which is blocking. The user can't see this in real-time on Telegram. Let me tell them the code and have them sign in, then I'll check if it succeeded.\n\nActually wait - the command already timed out (exit code 124 after 20 seconds), so this output might be from the last attempt. The code might have been different. Let me run it again so the user can see the current code.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"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 sign-in... (press Ctrl+C to cancel)\\r\\n\\nSession terminated, killing shell...\\n[Command timed out after 40s]\", \"exit_code\": 124, \"error\": null}",
"tool_call_id": "call_function_ami3hlenubn5_1"
},
{
"role": "assistant",
"content": "验证码是 `8T6M-K7ARM`。\n\n**你现在需要：**\n1. 打开浏览器访问：**https://auth.openai.com/codex/device**\n2. 输入验证码：`8T6M-K7ARM`\n3. 用你的 ChatGPT 账号登录\n\n完成后告诉我，我来执行后续步骤。\n\n---\n\n**注意**：这个命令需要保持运行等待你完成浏览器验证，所以我会在后台执行：",
"tool_calls": [
{
"id": "call_function_s22i87k7dyem_1",
"call_id": "call_function_s22i87k7dyem_1",
"response_item_id": "fc_function_s22i87k7dyem_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && script -q -c \\\"hermes auth add openai-codex --type oauth --no-browser\\\" /dev/null 2>&1\", \"background\": true, \"notify_on_complete\": true}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The device code login is running but waiting for user confirmation. The verification URL is `https://auth.openai.com/codex/device` and the code is `8T6M-K7ARM`. Since I can't interactively wait for the user to complete the OAuth flow in the browser, I need to explain this to the user.\n\nThe user needs to:\n1. Open https://auth.openai.com/codex/device in their browser\n2. Enter the code: 8T6M-K7ARM\n3. Log in with their ChatGPT account\n\nOnce they do this, the terminal command should complete successfully.\n\nBut since this is a sync terminal call, I can't just leave it hanging waiting. Let me think about how to handle this...\n\n\nI could run the command in the background and let it wait for the OAuth callback, then notify the user when it completes or fails. Alternatively, I could check if there's a webhook or callback mechanism built in. Let me try the background approach and see if the command naturally completes once the user authenticates.",
"reasoning_content": "The device code login is running but waiting for user confirmation. The verification URL is `https://auth.openai.com/codex/device` and the code is `8T6M-K7ARM`. Since I can't interactively wait for the user to complete the OAuth flow in the browser, I need to explain this to the user.\n\nThe user needs to:\n1. Open https://auth.openai.com/codex/device in their browser\n2. Enter the code: 8T6M-K7ARM\n3. Log in with their ChatGPT account\n\nOnce they do this, the terminal command should complete successfully.\n\nBut since this is a sync terminal call, I can't just leave it hanging waiting. Let me think about how to handle this...\n\n\nI could run the command in the background and let it wait for the OAuth callback, then notify the user when it completes or fails. Alternatively, I could check if there's a webhook or callback mechanism built in. Let me try the background approach and see if the command naturally completes once the user authenticates.",
"reasoning_details": [
{
"signature": "fcbc558f88eaed5939f3621e5a633d93084c57549b4dd9e4745f61d5f03aadf3",
"thinking": "The device code login is running but waiting for user confirmation. The verification URL is `https://auth.openai.com/codex/device` and the code is `8T6M-K7ARM`. Since I can't interactively wait for the user to complete the OAuth flow in the browser, I need to explain this to the user.\n\nThe user needs to:\n1. Open https://auth.openai.com/codex/device in their browser\n2. Enter the code: 8T6M-K7ARM\n3. Log in with their ChatGPT account\n\nOnce they do this, the terminal command should complete successfully.\n\nBut since this is a sync terminal call, I can't just leave it hanging waiting. Let me think about how to handle this...\n\n\nI could run the command in the background and let it wait for the OAuth callback, then notify the user when it completes or fails. Alternatively, I could check if there's a webhook or callback mechanism built in. Let me try the background approach and see if the command naturally completes once the user authenticates.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"Background process started\", \"session_id\": \"proc_40d9d62051c7\", \"pid\": 116618, \"exit_code\": 0, \"error\": null, \"notify_on_complete\": true}",
"tool_call_id": "call_function_s22i87k7dyem_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_a7704rlvh0cb_1",
"call_id": "call_function_a7704rlvh0cb_1",
"response_item_id": "fc_function_a7704rlvh0cb_1",
"type": "function",
"function": {
"name": "process",
"arguments": "{\"action\": \"log\", \"session_id\": \"proc_40d9d62051c7\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The background process started but it might have already exited since `script` might not work well in background mode. Let me check its output.",
"reasoning_content": "The background process started but it might have already exited since `script` might not work well in background mode. Let me check its output.",
"reasoning_details": [
{
"signature": "81a091864d81425d8620316c1d78b2391eace63c06d1b27ed8c304e2087ce2fc",
"thinking": "The background process started but it might have already exited since `script` might not work well in background mode. Let me check its output.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"session_id\": \"proc_40d9d62051c7\", \"status\": \"running\", \"output\": \"\", \"total_lines\": 0, \"showing\": \"0 lines\"}",
"tool_call_id": "call_function_a7704rlvh0cb_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_2220sbcmeqyc_1",
"call_id": "call_function_2220sbcmeqyc_1",
"response_item_id": "fc_function_2220sbcmeqyc_1",
"type": "function",
"function": {
"name": "process",
"arguments": "{\"action\": \"wait\", \"session_id\": \"proc_40d9d62051c7\", \"timeout\": 35}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Let me wait a moment and check again for output.",
"reasoning_content": "Let me wait a moment and check again for output.",
"reasoning_details": [
{
"signature": "cac189a4b9554792199b2786c486492efc1466af652f7a560334d30a16d4d874",
"thinking": "Let me wait a moment and check again for output.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"status\": \"timeout\", \"output\": \"\", \"timeout_note\": \"Waited 35s, process still running\"}",
"tool_call_id": "call_function_2220sbcmeqyc_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_mhouix1py22r_1",
"call_id": "call_function_mhouix1py22r_1",
"response_item_id": "fc_function_mhouix1py22r_1",
"type": "function",
"function": {
"name": "process",
"arguments": "{\"action\": \"log\", \"session_id\": \"proc_40d9d62051c7\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The background process is still waiting. Let me check the output now to get the latest code.",
"reasoning_content": "The background process is still waiting. Let me check the output now to get the latest code.",
"reasoning_details": [
{
"signature": "3dbd39f071e5368484c04f2cbc249b95d339e38ec31781ba5a2dd60ab0ea7657",
"thinking": "The background process is still waiting. Let me check the output now to get the latest code.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"session_id\": \"proc_40d9d62051c7\", \"status\": \"running\", \"output\": \"\", \"total_lines\": 0, \"showing\": \"0 lines\"}",
"tool_call_id": "call_function_mhouix1py22r_1"
},
{
"role": "assistant",
"content": "后台进程可能收不到输出。让我终止它，用更好的方式：",
"tool_calls": [
{
"id": "call_function_ggs5tlxf6frf_1",
"call_id": "call_function_ggs5tlxf6frf_1",
"response_item_id": "fc_function_ggs5tlxf6frf_1",
"type": "function",
"function": {
"name": "process",
"arguments": "{\"action\": \"kill\", \"session_id\": \"proc_40d9d62051c7\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The background process is running but not producing output. The `script` command with PTY might not be capturing output properly. Let me kill this and try a different approach.\n\nActually, the issue is that `script -q -c` with background=true might not work well. Let me try a different approach - maybe using `expect` or just running it in foreground with a very long timeout and have the user complete the verification in the browser first, then come back to check.\n\nBut wait - the first attempt I ran with a 40s timeout DID show the code. So the flow works, it just needs more time. Let me kill the background process and just tell the user to go ahead and do the verification now.",
"reasoning_content": "The background process is running but not producing output. The `script` command with PTY might not be capturing output properly. Let me kill this and try a different approach.\n\nActually, the issue is that `script -q -c` with background=true might not work well. Let me try a different approach - maybe using `expect` or just running it in foreground with a very long timeout and have the user complete the verification in the browser first, then come back to check.\n\nBut wait - the first attempt I ran with a 40s timeout DID show the code. So the flow works, it just needs more time. Let me kill the background process and just tell the user to go ahead and do the verification now.",
"reasoning_details": [
{
"signature": "cbbd47e86c72a8cfdd06e9541637cdf2f999388ee6368d7c22feda8883f73fcd",
"thinking": "The background process is running but not producing output. The `script` command with PTY might not be capturing output properly. Let me kill this and try a different approach.\n\nActually, the issue is that `script -q -c` with background=true might not work well. Let me try a different approach - maybe using `expect` or just running it in foreground with a very long timeout and have the user complete the verification in the browser first, then come back to check.\n\nBut wait - the first attempt I ran with a 40s timeout DID show the code. So the flow works, it just needs more time. Let me kill the background process and just tell the user to go ahead and do the verification now.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"status\": \"killed\", \"session_id\": \"proc_40d9d62051c7\"}",
"tool_call_id": "call_function_ggs5tlxf6frf_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_vj278a7g1a0j_1",
"call_id": "call_function_vj278a7g1a0j_1",
"response_item_id": "fc_function_vj278a7g1a0j_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && stdbuf -oL script -q -c \\\"hermes auth add openai-codex --type oauth --no-browser\\\" /dev/null 2>&1 | stdbuf -oL grep -E \\\"codex/device|Enter this|code:|URL\\\" | head -5\", \"timeout\": 25}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Let me try a different approach. The issue is that `script` command captures the output and the background process doesn't expose it in real-time. Let me try using `expect` or just run it interactively with PTY mode.\n\nActually, let me look at the output more carefully. The command seems to be running fine but the output isn't being captured. Let me try using `unbuffer` or `stdbuf` to disable buffering.\n\nActually, the simplest approach might be to just tell the user the code and let them go do it in a browser. Then I can check the auth.json after they've completed it.\n\nLet me try running the command again but with script, and capture the device code in real time using grep or similar.",
"reasoning_content": "Let me try a different approach. The issue is that `script` command captures the output and the background process doesn't expose it in real-time. Let me try using `expect` or just run it interactively with PTY mode.\n\nActually, let me look at the output more carefully. The command seems to be running fine but the output isn't being captured. Let me try using `unbuffer` or `stdbuf` to disable buffering.\n\nActually, the simplest approach might be to just tell the user the code and let them go do it in a browser. Then I can check the auth.json after they've completed it.\n\nLet me try running the command again but with script, and capture the device code in real time using grep or similar.",
"reasoning_details": [
{
"signature": "b70b4b1ca0c059a4dc086f67c1bb5048468c51fedf1fd376389398af89831f78",
"thinking": "Let me try a different approach. The issue is that `script` command captures the output and the background process doesn't expose it in real-time. Let me try using `expect` or just run it interactively with PTY mode.\n\nActually, let me look at the output more carefully. The command seems to be running fine but the output isn't being captured. Let me try using `unbuffer` or `stdbuf` to disable buffering.\n\nActually, the simplest approach might be to just tell the user the code and let them go do it in a browser. Then I can check the auth.json after they've completed it.\n\nLet me try running the command again but with script, and capture the device code in real time using grep or similar.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"[Command timed out after 25s]\", \"exit_code\": 124, \"error\": null}",
"tool_call_id": "call_function_vj278a7g1a0j_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_1u7l9e0pnesr_1",
"call_id": "call_function_1u7l9e0pnesr_1",
"response_item_id": "fc_function_1u7l9e0pnesr_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && script -q -c \\\"hermes auth add openai-codex --type oauth --no-browser 2>&1 &\\nsleep 5\\nkill %1 2>/dev/null\\\" /dev/null\", \"timeout\": 15}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Hmm, the command is timing out because grep is blocking even though it found the output. Let me try a different approach - use expect or just output the URL and code directly.",
"reasoning_content": "Hmm, the command is timing out because grep is blocking even though it found the output. Let me try a different approach - use expect or just output the URL and code directly.",
"reasoning_details": [
{
"signature": "3579d8114a976cf30f6f3ca75c1d78c8be0ddcd9e03f370de4a8d53ad9367398",
"thinking": "Hmm, the command is timing out because grep is blocking even though it found the output. Let me try a different approach - use expect or just output the URL and code directly.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"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 8TAF-DZ7Z4\\r\\n\\r\\nWaiting for sign-in... (press Ctrl+C to cancel)\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_1u7l9e0pnesr_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_c3n5jhzynqsf_1",
"call_id": "call_function_c3n5jhzynqsf_1",
"response_item_id": "fc_function_c3n5jhzynqsf_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/kuhnn/.hermes/hermes-agent && nohup script -q -c \\\"hermes auth add openai-codex --type oauth --no-browser\\\" /dev/null > /tmp/codex_auth.log 2>&1 &\\nsleep 6 && cat /tmp/codex_auth.log\", \"timeout\": 15}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "I keep getting different codes. Let me just tell the user to go ahead with this code, and I'll write a script that waits for completion. Actually, the problem is that when the background process dies, the foreground `hermes auth` process gets a SIGHUP and exits.\n\nLet me think about a better approach. The `hermes auth add` command is interactive and needs to stay running while the user completes the OAuth flow in a browser. \n\nWhat if I:\n1. Run it in background with nohup\n2. Parse the output to get the code\n3. Tell the user\n4. Then wait for the auth to complete\n\nBut the output is going to the scriptpty, not easily parseable in real time...\n\n\nActually, I realize I can redirect stderr and stdout to a file and monitor that file instead. Let me try running the auth command in the background with output piped to a file, then periodically check that file for the code so I can display it to the user.",
"reasoning_content": "I keep getting different codes. Let me just tell the user to go ahead with this code, and I'll write a script that waits for completion. Actually, the problem is that when the background process dies, the foreground `hermes auth` process gets a SIGHUP and exits.\n\nLet me think about a better approach. The `hermes auth add` command is interactive and needs to stay running while the user completes the OAuth flow in a browser. \n\nWhat if I:\n1. Run it in background with nohup\n2. Parse the output to get the code\n3. Tell the user\n4. Then wait for the auth to complete\n\nBut the output is going to the scriptpty, not easily parseable in real time...\n\n\nActually, I realize I can redirect stderr and stdout to a file and monitor that file instead. Let me try running the auth command in the background with output piped to a file, then periodically check that file for the code so I can display it to the user.",
"reasoning_details": [
{
"signature": "a8cb458d35ec20676ea3c2a4453ff6dcc08b3f54c78ff5ab12c323092d6d10e6",
"thinking": "I keep getting different codes. Let me just tell the user to go ahead with this code, and I'll write a script that waits for completion. Actually, the problem is that when the background process dies, the foreground `hermes auth` process gets a SIGHUP and exits.\n\nLet me think about a better approach. The `hermes auth add` command is interactive and needs to stay running while the user completes the OAuth flow in a browser. \n\nWhat if I:\n1. Run it in background with nohup\n2. Parse the output to get the code\n3. Tell the user\n4. Then wait for the auth to complete\n\nBut the output is going to the scriptpty, not easily parseable in real time...\n\n\nActually, I realize I can redirect stderr and stdout to a file and monitor that file instead. Let me try running the auth command in the background with output piped to a file, then periodically check that file for the code so I can display it to the user.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": -1, \"error\": \"Foreground command uses shell-level background wrappers (nohup/disown/setsid). Use terminal(background=true) so Hermes can track the process, then run readiness checks and tests in separate commands.\", \"status\": \"error\"}",
"tool_call_id": "call_function_c3n5jhzynqsf_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_t12s63vhdgq7_1",
"call_id": "call_function_t12s63vhdgq7_1",
"response_item_id": "fc_function_t12s63vhdgq7_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"background\": true, \"command\": \"cd /home/kuhnn/.hermes/hermes-agent && script -q -c \\\"hermes auth add openai-codex --type oauth --no-browser\\\" /dev/null > /tmp/codex_auth.log 2>&1\", \"notify_on_complete\": true}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Let me use the background=true approach properly.",
"reasoning_content": "Let me use the background=true approach properly.",
"reasoning_details": [
{
"signature": "24079783811fd025777085cf3ef913d06f77a3de9a7ea9897ab6f53504633524",
"thinking": "Let me use the background=true approach properly.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"output\": \"Background process started\", \"session_id\": \"proc_2b998aef4155\", \"pid\": 116802, \"exit_code\": 0, \"error\": null, \"notify_on_complete\": true}",
"tool_call_id": "call_function_t12s63vhdgq7_1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_function_e3ji2qme2hwh_1",
"call_id": "call_function_e3ji2qme2hwh_1",
"response_item_id": "fc_function_e3ji2qme2hwh_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"sleep 6 && cat /tmp/codex_auth.log\", \"timeout\": 12}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Now let me wait a few seconds and check the log file.",
"reasoning_content": "Now let me wait a few seconds and check the log file.",
"reasoning_details": [
{
"signature": "eb2ae34e4fcc4466a638d3955eec234b2f2f843698f8177e90ebd7882ae5a398",
"thinking": "Now let me wait a few seconds and check the log file.",
"type": "thinking"
}
]
},
{
"role": "tool",
"content": "{\"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 8TAX-7A5LD\\r\\n\\r\\nWaiting for sign-in... (press Ctrl+C to cancel)\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_e3ji2qme2hwh_1"
},
{
"role": "assistant",
"content": "**验证码已生成：**\n\n🔗 **https://auth.openai.com/codex/device**\n🔢 **验证码：`8TAX-7A5LD`**\n\n用你的 ChatGPT 账号完成登录后，告诉我\"完成了\"，我会检查结果。\n\n---\n\n**注意**：验证码有时效，尽快使用。如果过期了告诉我，我会重新生成一个。",
"reasoning": "Now I have a fresh verification code. Let me give it to the user and ask them to complete the login. I'll wait for them to say done, then check if it succeeded.",
"reasoning_content": "Now I have a fresh verification code. Let me give it to the user and ask them to complete the login. I'll wait for them to say done, then check if it succeeded.",
"reasoning_details": [
{
"signature": "8f94cbbd357b22c3d3eb910a9becd2991e092e6f8c69d3c462bf739dac15e53e",
"thinking": "Now I have a fresh verification code. Let me give it to the user and ask them to complete the login. I'll wait for them to say done, then check if it succeeded.",
"type": "thinking"
}
],
"finish_reason": "stop"
},
{
"role": "user",
"content": "[IMPORTANT: Background process proc_40d9d62051c7 completed (exit code 0).\nCommand: cd /home/kuhnn/.hermes/hermes-agent && script -q -c \"hermes auth add openai-codex --type oauth --no-browser\" /dev/null 2>&1\nOutput:\nbash: 无法设定终端进程组 (-1): 对设备不适当的 ioctl 操作\nbash: 此 shell 中无任务控制\nTo continue, follow these steps:\n\n 1. Open this URL in your browser:\n https://auth.openai.com/codex/device\n\n 2. Enter this code:\n 8T81-GLKQS\n\nWaiting for sign-in... (press Ctrl+C to cancel)\n\nSession terminated, killing shell... ...killed.\n]"
},
{
"role": "assistant",
"content": "",
"reasoning": "The background process completed. The code was `8T81-GLKQS`. But this was an old process that was killed. The current live one has code `8TAX-7A5LD`. Let me check if the current background process (proc_2b998aef4155) is still running and if the user has completed the login.",
"finish_reason": "tool_calls",
"reasoning_content": "The background process completed. The code was `8T81-GLKQS`. But this was an old process that was killed. The current live one has code `8TAX-7A5LD`. Let me check if the current background process (proc_2b998aef4155) is still running and if the user has completed the login.",
"reasoning_details": [
{
"signature": "e117142ceb7f3df0bed717ca8cc05e49f1324518e466823b11d5d803d2d5eaf1",
"thinking": "The background process completed. The code was `8T81-GLKQS`. But this was an old process that was killed. The current live one has code `8TAX-7A5LD`. Let me check if the current background process (proc_2b998aef4155) is still running and if the user has completed the login.",
"type": "thinking"
}
],
"tool_calls": [
{
"id": "call_function_ghw8fmp29j5d_1",
"call_id": "call_function_ghw8fmp29j5d_1",
"response_item_id": "fc_function_ghw8fmp29j5d_1",
"type": "function",
"function": {
"name": "process",
"arguments": "{\"action\": \"poll\", \"session_id\": \"proc_2b998aef4155\"}"
}
}
]
},
{
"role": "tool",
"name": "process",
"content": "{\"session_id\": \"proc_2b998aef4155\", \"command\": \"cd /home/kuhnn/.hermes/hermes-agent && script -q -c \\\"hermes auth add openai-codex --type oauth --no-browser\\\" /dev/null > /tmp/codex_auth.log 2>&1\", \"status\": \"running\", \"pid\": 116802, \"uptime_seconds\": 26, \"output_preview\": \"\"}",
"tool_call_id": "call_function_ghw8fmp29j5d_1"
},
{
"role": "assistant",
"content": "",
"reasoning": "The background process is still running. Let me check the log file to see the latest code.",
"finish_reason": "tool_calls",
"reasoning_content": "The background process is still running. Let me check the log file to see the latest code.",
"reasoning_details": [
{
"signature": "5dd120dfa260a0c986296f7d3e812048e14b8bc9292527a9a5e21373cb60e91d",
"thinking": "The background process is still running. Let me check the log file to see the latest code.",
"type": "thinking"
}
],
"tool_calls": [
{
"id": "call_function_4pg9qzds2cw9_1",
"call_id": "call_function_4pg9qzds2cw9_1",
"response_item_id": "fc_function_4pg9qzds2cw9_1",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cat /tmp/codex_auth.log\", \"timeout\": 5}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"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 8TAX-7A5LD\\r\\n\\r\\nWaiting for sign-in... (press Ctrl+C to cancel)\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_function_4pg9qzds2cw9_1"
},
{
"role": "assistant",
"content": "后端进程正在等待登录验证。最新验证码是：\n\n🔢 **`8TAX-7A5LD`**\n\n登录完成后告诉我，我会检查是否成功。",
"reasoning": "The background process is still running, waiting for login. The last code generated was `8TAX-7A5LD`. But the user might not have seen it since the notification came from an earlier process. Let me tell the user to use the latest code `8TAX-7A5LD` and wait for completion.",
"finish_reason": "stop",
"reasoning_content": "The background process is still running, waiting for login. The last code generated was `8TAX-7A5LD`. But the user might not have seen it since the notification came from an earlier process. Let me tell the user to use the latest code `8TAX-7A5LD` and wait for completion.",
"reasoning_details": [
{
"signature": "e09952e8ef7cec0857a194029a18975ad9f745e5bb1831cde931e81b09504384",
"thinking": "The background process is still running, waiting for login. The last code generated was `8TAX-7A5LD`. But the user might not have seen it since the notification came from an earlier process. Let me tell the user to use the latest code `8TAX-7A5LD` and wait for completion.",
"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": "Nothing to save.",
"reasoning": "Let me review the conversation for any user preferences or personal details worth remembering:\n\n1. User preferences:\n- Prefers Chinese language\n- Simple solutions > complex setups\n- Uses Telegram as communication platform\n- Has ChatGPT subscription\n\n2. Technical context:\n- Migrated from OpenClaw to Hermes (MiniMax-M2.7)\n- Synology Drive backups\n- Interested in private bot access control and Telegram command menus\n- Has MiniMax Token Plan\n- Cron TTS setup with Piper\n\n3. Current session:\n- User wanted to enable vision_analyze tool\n- Tried to use OpenAI Codex OAuth to authenticate ChatGPT\n- Currently in the middle of OAuth device code flow - waiting for user to complete login\n\nThis is mostly technical session content. The user has a ChatGPT subscription which was already somewhat known. Nothing new stands out as worth saving to memory beyond what was already there.\n\nActually, one thing: the user has a ChatGPT subscription and is trying to use it for vision capabilities. This confirms they have an OpenAI account with ChatGPT Plus. But this is more of a session detail than a user profile trait.\n\nNothing new to save.",
"finish_reason": "stop",
"reasoning_content": "Let me review the conversation for any user preferences or personal details worth remembering:\n\n1. User preferences:\n- Prefers Chinese language\n- Simple solutions > complex setups\n- Uses Telegram as communication platform\n- Has ChatGPT subscription\n\n2. Technical context:\n- Migrated from OpenClaw to Hermes (MiniMax-M2.7)\n- Synology Drive backups\n- Interested in private bot access control and Telegram command menus\n- Has MiniMax Token Plan\n- Cron TTS setup with Piper\n\n3. Current session:\n- User wanted to enable vision_analyze tool\n- Tried to use OpenAI Codex OAuth to authenticate ChatGPT\n- Currently in the middle of OAuth device code flow - waiting for user to complete login\n\nThis is mostly technical session content. The user has a ChatGPT subscription which was already somewhat known. Nothing new stands out as worth saving to memory beyond what was already there.\n\nActually, one thing: the user has a ChatGPT subscription and is trying to use it for vision capabilities. This confirms they have an OpenAI account with ChatGPT Plus. But this is more of a session detail than a user profile trait.\n\nNothing new to save.",
"reasoning_details": [
{
"signature": "7607723328bc14640b342cc0ddd6ad31b2e71d0549a376ae111237fb1b5bc7d1",
"thinking": "Let me review the conversation for any user preferences or personal details worth remembering:\n\n1. User preferences:\n- Prefers Chinese language\n- Simple solutions > complex setups\n- Uses Telegram as communication platform\n- Has ChatGPT subscription\n\n2. Technical context:\n- Migrated from OpenClaw to Hermes (MiniMax-M2.7)\n- Synology Drive backups\n- Interested in private bot access control and Telegram command menus\n- Has MiniMax Token Plan\n- Cron TTS setup with Piper\n\n3. Current session:\n- User wanted to enable vision_analyze tool\n- Tried to use OpenAI Codex OAuth to authenticate ChatGPT\n- Currently in the middle of OAuth device code flow - waiting for user to complete login\n\nThis is mostly technical session content. The user has a ChatGPT subscription which was already somewhat known. Nothing new stands out as worth saving to memory beyond what was already there.\n\nActually, one thing: the user has a ChatGPT subscription and is trying to use it for vision capabilities. This confirms they have an OpenAI account with ChatGPT Plus. But this is more of a session detail than a user profile trait.\n\nNothing new to save.",
"type": "thinking"
}
]
}
]
}