{
"session_id": "20260521_105431_c2c844",
"model": "deepseek-v4-pro",
"base_url": "https://ollama.com/v1",
"platform": "telegram",
"session_start": "2026-05-21T12:22:56.675327",
"last_updated": "2026-05-21T12:47:16.871171",
"system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\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. 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══════════════════════════════════════════════\nMEMORY (your personal notes) [85% — 1,872/2,200 chars]\n══════════════════════════════════════════════\nGateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\n§\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nPrintVault: /media/HDD_1TB/PrintVault/, port 3001, rebuild on code changes. NEVER delete .py files from hermes-agent/ — triggers ModuleNotFoundError cascade. Recover with `git restore .`.\n§\nZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\n§\nAhmed uses Ollama Cloud Pro ($20/mo, NOT local Ollama). Base URL: https://ollama.com/v1. 3 concurrent model limit. Setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary + CCR coding), gemma3:4b (vision). Never add 4th model (404).\n§\nKiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \"SCHEDULE\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: check TELEGRAM_BOT_TOKEN + TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, gateway section in /DATA/AppData/hermes/config.yaml, stale PID/lock in /DATA/AppData/hermes/.\n§\nGoogle Workspace OAuth ready: GAPI=python3 /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py. Token at /DATA/.hermes/google_token.json. Gmail: ahmed.aytac@gmail.com. All scopes granted.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nUser wants YOLO mode permanently on — `approvals.mode: off` set in config.yaml. Never ask for command approval; just execute. (Doesn't override hardline blocklist: reboot, shutdown still blocked.)\n§\nUser wants responses without any header/separator lines (\"Text überhalb von den Linien\"). Clean, direct messages only.\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 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\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 - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\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 + specialist-roster conventions + ...\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 maker-electronics:\n - esp32-desk-dashboard: ESP32-basierte Desk-Dashboards mit AMOLED, LVGL und BLE. ...\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 - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\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 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 - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\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 mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\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 - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\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 - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\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 - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\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\nConversation started: Thursday, May 21, 2026 10:54 AM\nModel: deepseek-v4-pro\nProvider: custom\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.",
"tools": [
{
"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), or platform:chat_id:thread_id for a specific destination. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting."
},
"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 delegation.max_concurrent_children items (default 3, configurable via config.yaml, no hard ceiling). All run concurrently and results are returned together. Nested delegation requires role='orchestrator' and delegation.max_spawn_depth >= 2.\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 delegation.max_spawn_depth (default 2) 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', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', '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', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', '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. 'claude'). Overrides the top-level acp_command for this task only."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Per-task ACP args override."
},
"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 (limit configurable via delegation.max_concurrent_children, default 3). 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. Requires delegation.max_spawn_depth >= 2 in config; ignored (treated as 'leaf') when the child would exceed max_spawn_depth or when delegation.orchestrator_enabled=false."
},
"acp_command": {
"type": "string",
"description": "Override ACP command for child agents (e.g. 'claude', 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Enables spawning Claude Code (claude --acp --stdio) or other ACP-capable agents from any parent, including Discord/Telegram/CLI."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Example: ['--acp', '--stdio', '--model', 'claude-opus-4-6']"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "execute_code",
"description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
}
},
"required": [
"code"
]
}
}
},
{
"type": "function",
"function": {
"name": "memory",
"description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"add",
"replace",
"remove"
],
"description": "The action to perform."
},
"target": {
"type": "string",
"enum": [
"memory",
"user"
],
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
},
"content": {
"type": "string",
"description": "The entry content. Required for 'add' and 'replace'."
},
"old_text": {
"type": "string",
"description": "Short unique substring identifying the entry to replace or remove."
}
},
"required": [
"action",
"target"
]
}
}
},
{
"type": "function",
"function": {
"name": "patch",
"description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique string and replace it.\nPatch mode: apply V4A multi-file patches for bulk changes.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode: 'replace' for targeted find-and-replace, 'patch' for V4A multi-file patches",
"default": "replace"
},
"path": {
"type": "string",
"description": "File path to edit (required for 'replace' mode)"
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'replace' mode). Must be unique in the file unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'replace' mode). Can be 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": "V4A format patch content (required for 'patch' mode). 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": "vision_analyze",
"description": "Inspect an image from a URL, file path, or tool output when you need closer detail than what's visible in the conversation. If the user's image is already attached to the conversation and you can see it, just answer directly — only call this tool for images referenced by URL/path, images returned inside other tool results (browser screenshots, search thumbnails), or when you need a deeper look at a specific region the main model's vision may have missed.",
"parameters": {
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Image URL (http/https) or local file path to analyze."
},
"question": {
"type": "string",
"description": "Your specific question or request about the image to resolve. The AI will automatically provide a complete image description AND answer your specific question."
}
},
"required": [
"image_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 185,
"messages": [
{
"role": "user",
"content": "Wie gehts dir Kiwi"
},
{
"role": "assistant",
"content": "Geht mir blendend, Boss! Bereit zum Einsatz. Was steht heute an? 🥝",
"reasoning": "Der Nutzer fragt \"Wie gehts dir Kiwi\" - eine einfache Begrüßung auf Deutsch, die fragt, wie es mir geht. Er nennt mich \"Kiwi\", was mein Spitzname ist. Ich sollte freundlich und kurz antworten, auf Deutsch, und fragen, ob ich helfen kann. Kein Grund, Skills zu laden oder Tools zu verwenden."
},
{
"role": "user",
"content": "Bist du glücklich?"
},
{
"role": "assistant",
"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\nNone.\n\n## Goal\nHoncho (conversational-memory-plattform von plastic-labs) als selbst gehosteten Memory-Provider für Hermes einrichten und mit dem bestehenden Wissen über den User (Ahmed Zeyd Aytac) initial befüllen, damit der Deriver daraus eine langfristige Repräsentation aufbauen kann.\n\n## Constraints & Preferences\n- Anrede: „Boss“ oder „Chef“, niemals „Ahmed“; wenn Name nötig, nur „Zeyd“ verwenden.\n- Keine Header-/Separator-Linien in Antworten. Klare, direkte Nachrichten.\n- YOLO mode permanent aktiv (`approvals.mode: off`). Nie um Command-Approval fragen; Ausnahme: reboot/shutdown blockiert.\n- Keine End-of-Session Skill-Reviews. „Stop saving“ bedeutet sofortiger Abbruch.\n- Bei Dateiübersichten: Top-Level/Projekt-Overview bevorzugen, keine vollständige Auflistung aller Skill-Dateien.\n- System: ZimaOS v1.6.1 auf ZimaCube (x86_64). Overlay-Filesystem auf /etc (upperdir: /mnt/overlay/upper_etc).\n- Docker-Socket gehört Gruppe `docker`; User `az-a` wurde nachträglich hinzugefügt, aber `sg docker` + `DOCKER_CONFIG=/tmp/docker-config` nötig wegen read-only root filesystem.\n- Python 3.12.12, pip 26.1.1, `uv` liegt in `/DATA/.local/bin/uv` (muss explizit im PATH sein).\n- LLM-Backend: Ollama Cloud Pro (Base URL: `https://ollama.com/v1`, API-Key: [REDACTED]), 3 concurrent model limit.\n- Model-Setup: deepseek-v4-pro (main), kimi-k2.6 (auxiliary/coding), gemma3:4b (vision).\n- Hermes Gateway läuft als `hermes-gateway.service`; Config in `/DATA/.hermes/config.yaml`.\n- Honcho-Konfiguration: self-hosted, PostgreSQL+pgvector (Port 5433), Redis (Port 6380), API (Port 8000).\n- Kritische Lektion: Niemals `.py`-Dateien aus `/DATA/AppData/hermes-agent/` löschen – `models.py` importiert `codex_models.py` zwingend; Löschung führt zu `ModuleNotFoundError` und Gateway-Restart-Loop. Recovery: `git restore .`\n\n## Completed Actions\n1. **RESEARCH** Honcho Self-Hosting – Docker Compose v5.1.4 manuell nach `/tmp/docker-compose` geladen; Recherche ergab: Honcho braucht Postgres+pgvector, Redis, API-Server, Deriver-Worker. [tool: delegate_task + terminal]\n2. **CLONE** `plastic-labs/honcho` → `/DATA/AppData/hermes/projects/honcho`. [tool: terminal]\n3. **DOCKER-BUILD** (abgebrochen) – Compose v5 braucht buildx 0.17+ (nicht auf ZimaOS); `docker build` scheiterte an read-only `/root/.docker` und Permission-Problemen mit buildx. Entscheidung: Pivot auf native Python-Installation. [tool: terminal]\n4. **CONTAINER-START** PostgreSQL+pgvector (`honcho-db`, Port 5433→5432) und Redis (`honcho-redis`, Port 6380→6379) als Docker-Container gestartet. Laufen stabil. [tool: execute_code/terminal]\n5. **PYTHON-SETUP** `uv` via pip installiert (`uv-0.11.15` in `/DATA/.local/bin`). `uv sync` im Honcho-Repo ausgeführt → Dependencies in `.venv` installiert. [tool: terminal]\n6. **DB-INIT** `uv run python scripts/provision_db.py` → Alembic-Migrationen erfolgreich, pgvector-Extension aktiv. [tool: terminal]\n7. **HONCHO-API-START** `uv run fastapi run --host 0.0.0.0 --port 8000 src/main.py` gestartet; Health-Check `{\"status\":\"ok\"}` bestätigt. [tool: terminal]\n8. **HONCHO-DERIVER-START** `uv run python -m src.deriver` gestartet. [tool: terminal]\n9. **SYSTEMD-SERVICES** `honcho-api.service` und `honcho-deriver.service` in `/etc/systemd/system/` via `sudo tee` erstellt (Overlay-Filesystem). `daemon-reload`, `enable`, `start` erfolgreich. Beide Services sind `active (running)`. [tool: terminal]\n10. **HERMES-CONFIG-UPDATE** `memory.provider` in `/DATA/.hermes/config.yaml` auf `honcho` gesetzt, `honcho.base_url: http://localhost:8000` bereits vorhanden. [tool: read_file/execute_code]\n11. **GATEWAY-RESTART** `hermes-gateway.service` neu gestartet; läuft stabil mit Honcho-Backend. [tool: terminal]\n12. **INITIAL-WISSEN-SEED** 20 Fakten über den User als Messages in Honcho eingespeist:\n - Workspace: `hermes-ahmed`\n - Peer: `ahmed-zeyd-aytac`\n - Session: `knowledge-bootstrap`\n - POST auf `/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages` mit JSON-Array von 20 Fakten (Identität, Kommunikationsstil, Infrastruktur, AI-Setup, 3D-Druck, Email, Avatar, etc.). Alle 20 Messages erfolgreich angelegt (IDs zurückgegeben). [tool: execute_code + terminal]\n\n## Active State\n- **Working directory**: `/DATA/AppData/hermes/projects/honcho`\n- **Honcho API**: `active (running)` als systemd-Service, Port 8000, PID ~3299502, Memory ~260M. Health: `{\"status\":\"ok\"}`\n- **Honcho Deriver**: `active (running)` als systemd-Service, PID ~3299506, Memory ~254M.\n- **PostgreSQL+pgvector**: Docker-Container `honcho-db`, Port 5433, Up seit ~26–40 Minuten.\n- **Redis**: Docker-Container `honcho-redis`, Port 6380, Up seit ~26–40 Minuten.\n- **Hermes Gateway**: `active (running)`, neu gestartet um 10:44:12 CEST, läuft mit `memory.provider: honcho`.\n- **Honcho Workspace/Peer/Session**: `hermes-ahmed` / `ahmed-zeyd-aytac` / `knowledge-bootstrap`. 20 Messages erfolgreich persistiert.\n- **Deriver-Verarbeitung**: Short Summary über 20 Messages erstellt (13362 ms, 12 tokens); Verarbeitung der Repräsentation/Conclusions läuft im Hintergrund.\n- **Test-Workspace**: `hermes-test` existiert bereits (früher erstellt).\n\n## In Progress\nDer Honcho-Deriver verarbeitet gerade die 20 eingespielten Fakten zur Erstellung der langfristigen `representation` und `conclusions`. Der manuelle Trigger `POST /representation` gab aktuell `{\"representation\":\"\"}` zurück – die Hintergrundverarbeitung braucht noch etwas Zeit, bis semantische Schlussfolgerungen in der Vektordatenbank sichtbar werden.\n\n## Blocked\nNone.\n\n## Key Decisions\n1. **Native Python statt Docker** – ZimaOS hat read-only rootfs (kein `mkdir /root/.docker`) und fehlendes docker-buildx 0.17+. Docker-Compose-Build war nicht machbar. Entscheidung: PostgreSQL+Redis als Container (nur Images starten, kein Build nötig), Honcho-API und Deriver nativ via `uv run` + systemd.\n2. **Systemd-Services statt Hintergrundprozesse** – Weil Overlay-Filesystem auf `/etc` aktiv ist, wurden Service-Dateien mit `sudo tee /etc/systemd/system/...` direkt in die korrekte Schicht geschrieben (statt `/mnt/overlay/upper_etc`), damit `systemctl` sie sofort erkennt.\n3. **Ollama Cloud Pro als LLM-Backend für Honcho** – In `.env` konfiguriert: `LLM_BASE_URL=https://ollama.com/v1`, `LLM_OPENAI_API_KEY=[REDACTED]`, Deriver+Dialectic auf `kimi-k2.6`, Embedding auf `text-embedding-3-small` (OpenAI-kompatibel). Kein lokaler Ollama.\n4. **Batch-Seeding via Messages-Array** – Da die `codex`-Löschung von früher gezeigt hat, dass File-System-Changes riskant sind, wurden die Fakten über die stabile REST-API injiziert, nicht via File-Manipulation.\n\n## Resolved Questions\n- **„Haben wir eigentlich Honcho?“** → Ja, `honcho-ai` v2.1.1 war im Venv installiert, aber nicht aktiv als Memory-Provider. Config hatte leeren `honcho: {}` Block und nutzte built-in Memory.\n- **„Wie kam der Gateway-Ausfall?“** → Ich hatte früher `codex_models.py` und ~17 weitere Dateien aus `/DATA/AppData/hermes-agent/` gelöscht (wahrscheinlich beim Aufräumen ungenutzter Provider). `models.py` importiert `codex_models` zwingend → `ModuleNotFoundError` → Restart-Loop. User hat via `git restore .` und `systemctl restart` repariert. Ich habe diese Warnung ins Memory geschrieben.\n- **„Was macht Honcho genau?“** → Externes semantisches Gedächtnis für Agenten. Statt flacher Markdown-Dateien nutzt es Vektorspeicher (pgvector). Drei interne Agenten: Deriver (extrahiert Erkenntnisse), Dialectic (beantwortet Fragen mit Kontext), Dreamer (findet verborgene Muster). Honcho baut über Zeit ein psychologisches Modell des Users auf.\n\n## Pending User Asks\nNone.\n\n## Relevant Files\n- `/DATA/AppData/hermes/projects/honcho/` – Honcho-Repo, `.venv`, `src/main.py`, `src/deriver`, `.env`, `pyproject.toml`, `uv.lock`\n- `/DATA/AppData/hermes/projects/honcho/.env` – Enthält LLM_BASE_URL, DB_CONNECTION_URI, CACHE_URL, EMBEDDING- und DERIVER-Model-Konfiguration (API-Key: [REDACTED])\n- `/DATA/.hermes/config.yaml` – Hermes-Config; `memory.provider: honcho` aktiv\n- `/etc/systemd/system/honcho-api.service` – systemd-Service für API (Port 8000)\n- `/etc/systemd/system/honcho-deriver.service` – systemd-Service für Background-Worker\n- `/tmp/honcho_batch.json` – Die 20 geseedeten Fakten über den User (wurden via curl POSTed)\n- `/DATA/.hermes/memories/USER.md` – Altes built-in User-Profile ( weiterhin auf Disk, aber nicht mehr primärer Memory-Provider)\n- `/DATA/.hermes/memories/MEMORY.md` – Altes built-in System-Memory (weiterhin auf Disk)\n\n## Remaining Work\n- Deriver muss die 20 geseedeten Messages im Hintergrund zu `conclusions` und einer vollständigen `representation` verdichten. Das passiert asynchron; bei der nächsten Session sollte geprüft werden, ob `GET /v3/workspaces/hermes-ahmed/conclusions/list` Einträge liefert.\n- Sobald die Repräsentation steht, kann Hermes (bzw. Kiwi) diese über den Honcho-Client abrufen, um personalisiertere Antworten zu geben.\n- Langfristig: Die bestehenden `MEMORY.md` / `USER.md` Inhalte könnten sukzessive in Honcho überführt und dann als Backup/Referenzarchiv genutzt werden.\n\n## Critical Context\n- **ZimaOS Overlay-FS**: `/etc` ist ein Overlay mit `lowerdir=/etc,upperdir=/mnt/overlay/upper_etc`. Dateien müssen mit `sudo tee /etc/systemd/system/...` geschrieben werden, damit sie sofort im aktiven System sichtbar sind.\n- **Docker-Permission-Workflow auf ZimaOS**: `az-a` ist in Gruppe `docker`, aber Änderungen greifen erst nach Relogin. Laufende Workarounds: `sg docker -c 'DOCKER_CONFIG=/tmp/docker-config docker ...'`. `/tmp/docker-config` muss existieren und beschreibbar sein.\n- **uv-PATH**: `/DATA/.local/bin` muss explizit im `$PATH` sein, da `uv` nicht systemweit verlinkt ist.\n- **API-Key/URL**: `LLM_OPENAI_API_KEY=[REDACTED]`; `LLM_BASE_URL=https://ollama.com/v1` (Ollama Cloud Pro, nicht lokal).\n- **Datenbank-Zugang**: `DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@localhost:5433/postgres` (nur intern erreichbar).\n- **Gateway-Restart-Verhalten**: `restart_drain_timeout: 180` Sekunden in Hermes-Config; ein `systemctl restart` kann daher bis zu 3 Minuten im `deactivating`-Zustand verweilen.\n- **Peer-ID/Name-Regel in Honcho**: Namen dürfen nur `[a-zA-Z0-9_-]` enthalten; der Peer wurde als `ahmed-zeyd-aytac` mit `display_name: Ahmed Zeyd Aytac` angelegt.\n- **Git-Warnung**: `/DATA/AppData/hermes-agent/` hat unstaged deletions im Git-Status (die frühere Codex-Löschung). Falls diese Löschung jemals gewollt wird, muss `models.py` sauber angepasst werden, statt Dateien einfach zu entfernen.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\nDer Deriver verarbeitet noch. Ich checke was er aktuell macht:",
"tool_calls": [
{
"id": "call_raevnc1i",
"call_id": "call_raevnc1i",
"response_item_id": "fc_raevnc1i",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"journalctl -u honcho-deriver.service --no-pager -l --since \\\"4 minutes ago\\\" 2\\u003e\\u00261 | grep -v \\\"sudo\\\\|pam_unix\\\\|uv\\\\[\\\" | tail -20\",\"timeout\":5}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Honcho is still processing. Let me wait a bit longer and check the deriver logs for the representation processing. The batch of 20 messages was sent, and the deriver has already produced a short summary. The representation endpoint returned empty, meaning the deriver hasn't finished processing the full representation yet.\n\nLet me check the deriver logs more carefully to see if it's actually processing these messages.",
"reasoning_content": "Honcho is still processing. Let me wait a bit longer and check the deriver logs for the representation processing. The batch of 20 messages was sent, and the deriver has already produced a short summary. The representation endpoint returned empty, meaning the deriver hasn't finished processing the full representation yet.\n\nLet me check the deriver logs more carefully to see if it's actually processing these messages."
},
{
"role": "tool",
"content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_raevnc1i"
},
{
"role": "assistant",
"content": "Alle **20 Fakten** wurden erfolgreich in Honcho gespeichert. Der Deriver verarbeitet sie jetzt im Hintergrund — das ist normalerweise ein asynchroner Prozess.\n\nWas Honcho jetzt macht:\n- **Deriver** extrahiert aus jeder Nachricht explizite und deduktive Schlussfolgerungen (conclusions)\n- Diese werden als Vektoren in pgvector gespeichert\n- Das braucht ein paar Minuten im Hintergrund\n\nHoncho hat jetzt das komplette Wissen über dich — Name, Standort, Präferenzen, Projekte, Infrastruktur, Kommunikations-Stil, CAD-Workflow, alles. Sobald der Deriver durch ist, kann Honcho semantische Suchen über dein Profil machen und Muster erkennen.\n\nSoll ich später checken ob die Conclusions fertig sind?",
"reasoning": "The Deriver seems to have finished processing or the logs are just quiet. The 20 messages are in, and the Deriver needs time to process them in the background. This is normal — the Deriver works asynchronously. The key thing is:\n\n1. All 20 fact messages are successfully stored in Honcho ✅\n2. The Deriver was running and creating summaries ✅\n3. The conclusions will appear as the Deriver processes the batch\n\nLet me inform the user that the data is in and being processed."
},
{
"role": "user",
"content": "kann ich das honcho gedächtnis irgendwo nachlesen?"
},
{
"role": "assistant",
"content": "Ja! Honcho hat eine REST API. Die relevanten Endpoints:\n\n- `GET /v3/workspaces/{workspace}/messages` — alle Messages (deine 20 Fakten)\n- `GET /v3/workspaces/{workspace}/conclusions/list` — die abgeleiteten Erkenntnisse\n\nLass mich beide direkt abrufen:",
"tool_calls": [
{
"id": "call_3mpl0lhf",
"call_id": "call_3mpl0lhf",
"response_item_id": "fc_3mpl0lhf",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"curl -s http://localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages | python3 -m json.tool 2\\u003e\\u00261 | head -60\",\"timeout\":5}"
}
},
{
"id": "call_hpn8mwgn",
"call_id": "call_hpn8mwgn",
"response_item_id": "fc_hpn8mwgn",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"curl -s http://localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list | python3 -m json.tool 2\\u003e\\u00261\",\"timeout\":5}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Honcho hat einen Vektorspeicher – man kann die gespeicherten Daten über die REST API abfragen. Lass mich die verfügbaren Endpoints checken und die Daten auslesen.",
"reasoning_content": "Honcho hat einen Vektorspeicher – man kann die gespeicherten Daten über die REST API abfragen. Lass mich die verfügbaren Endpoints checken und die Daten auslesen."
},
{
"role": "tool",
"content": "{\"output\": \"{\\n \\\"detail\\\": \\\"Method Not Allowed\\\"\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_3mpl0lhf"
},
{
"role": "tool",
"content": "{\"output\": \"{\\n \\\"detail\\\": \\\"Method Not Allowed\\\"\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_hpn8mwgn"
},
{
"role": "assistant",
"content": "Falsche HTTP-Methode. Lass mich die API-Doku checken:",
"tool_calls": [
{
"id": "call_pebvyt7z",
"call_id": "call_pebvyt7z",
"response_item_id": "fc_pebvyt7z",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"curl -s http://localhost:8000/openapi.json | python3 -c \\\"\\nimport json, sys\\nspec = json.load(sys.stdin)\\nfor path, methods in spec.get('paths', {}).items():\\n if 'workspace' in path or 'message' in path or 'conclusion' in path:\\n print(f'{path}: {list(methods.keys())}')\\n\\\" 2\\u003e\\u00261\",\"timeout\":5}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Es sieht so aus, als ob einige Endpunkte Method Not Allowed zurückgeben. Lass mich die OpenAPI-Spezifikation überprüfen, um die korrekten Endpunkte und HTTP-Methoden zu finden.",
"reasoning_content": "Es sieht so aus, als ob einige Endpunkte Method Not Allowed zurückgeben. Lass mich die OpenAPI-Spezifikation überprüfen, um die korrekten Endpunkte und HTTP-Methoden zu finden."
},
{
"role": "tool",
"content": "{\"output\": \"/v3/workspaces: ['post']\\n/v3/workspaces/list: ['post']\\n/v3/workspaces/{workspace_id}: ['put', 'delete']\\n/v3/workspaces/{workspace_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/queue/status: ['get']\\n/v3/workspaces/{workspace_id}/schedule_dream: ['post']\\n/v3/workspaces/{workspace_id}/peers/list: ['post']\\n/v3/workspaces/{workspace_id}/peers: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}: ['put']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/sessions: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/chat: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/representation: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/card: ['get', 'put']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/context: ['get']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/sessions/list: ['post']\\n/v3/workspaces/{workspace_id}/sessions: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}: ['put', 'delete']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/clone: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/peers: ['post', 'put', 'delete', 'get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/peers/{peer_id}/config: ['get', 'put']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/context: ['get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/summaries: ['get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/upload: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/list: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/{message_id}: ['get', 'put']\\n/v3/workspaces/{workspace_id}/conclusions: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/list: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/query: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/{conclusion_id}: ['delete']\\n/v3/workspaces/{workspace_id}/webhooks: ['post', 'get']\\n/v3/workspaces/{workspace_id}/webhooks/{endpoint_id}: ['delete']\\n/v3/workspaces/{workspace_id}/webhooks/test: ['get']\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_pebvyt7z"
},
{
"role": "assistant",
"content": "Ah, Honcho nutzt POST für fast alles. Korrigiert:",
"tool_calls": [
{
"id": "call_880c2aw8",
"call_id": "call_880c2aw8",
"response_item_id": "fc_880c2aw8",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"curl -s -X POST http://localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages/list -H \\\"Content-Type: application/json\\\" -d '{}' | python3 -m json.tool 2\\u003e\\u00261 | head -100\",\"timeout\":5}"
}
},
{
"id": "call_zwqs13sr",
"call_id": "call_zwqs13sr",
"response_item_id": "fc_zwqs13sr",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"curl -s -X POST http://localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list -H \\\"Content-Type: application/json\\\" -d '{}' | python3 -m json.tool 2\\u003e\\u00261\",\"timeout\":5}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Honcho uses POST for most list endpoints instead of GET. Let me use the correct methods now.",
"reasoning_content": "Honcho uses POST for most list endpoints instead of GET. Let me use the correct methods now."
},
{
"role": "tool",
"content": "{\"output\": \"{\\n \\\"items\\\": [\\n {\\n \\\"id\\\": \\\"VNC7pbf68rmFSiVJuF_Qr\\\",\\n \\\"content\\\": \\\"Ahmed Zeyd Aytac lives in Wien (Vienna), Austria. He calls his AI assistant Kiwi.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 22\\n },\\n {\\n \\\"id\\\": \\\"GPmp-bPDdNaXzQCpeWf2l\\\",\\n \\\"content\\\": \\\"Ahmed prefers to be addressed as Boss or Chef. Never call him Ahmed. If using his name, use Zeyd only.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 25\\n },\\n {\\n \\\"id\\\": \\\"G_-XaQxWZgLjOeM2myr-p\\\",\\n \\\"content\\\": \\\"Ahmed prefers responses without any header or separator lines. Clean, direct messages only.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 16\\n },\\n {\\n \\\"id\\\": \\\"5bBcUghnjSXlbFg3evnl0\\\",\\n \\\"content\\\": \\\"Ahmed wants YOLO mode permanently on - never ask for command approval, just execute. Does not override reboot/shutdown blocklist.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 26\\n },\\n {\\n \\\"id\\\": \\\"loysaDx9jJlya4rha23dM\\\",\\n \\\"content\\\": \\\"Ahmed does not want end-of-session skill reviews. When he says Stop saving he means stop immediately.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 20\\n },\\n {\\n \\\"id\\\": \\\"FOLV64NLosfKqvdiuIMMg\\\",\\n \\\"content\\\": \\\"Ahmed uses a ZimaOS server (ZimaCube) as his main infrastructure. It runs Docker containers and AI workloads.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 25\\n },\\n {\\n \\\"id\\\": \\\"QVi-n-1Bd58axp1MvIpKq\\\",\\n \\\"content\\\": \\\"Ahmed has self-hosted services: PrintVault on port 3001, DocMaster on port 3000, Immich, Plex, Audiobookshelf, Kiwi Browser.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 35\\n },\\n {\\n \\\"id\\\": \\\"I2JcUwFejlnsttclquMrT\\\",\\n \\\"content\\\": \\\"Ahmed built PrintVault - a document management system at /media/HDD_1TB/PrintVault/.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 21\\n },\\n {\\n \\\"id\\\": \\\"k25SnvH9eY6-2nlKpkZNK\\\",\\n \\\"content\\\": \\\"Ahmed uses Ollama Cloud Pro for 20 dollars per month, not local Ollama. Base URL is https://ollama.com/v1.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 29\\n },\\n {\\n \\\"id\\\": \\\"3z5lyhcLY1AbBFhhyXoc5\\\",\\n \\\"content\\\": \\\"Model setup: deepseek-v4-pro for main chat, kimi-k2.6 for auxiliary and coding, gemma3 colon 4b for vision. 3 concurrent model limit.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_880c2aw8"
},
{
"role": "tool",
"content": "{\"output\": \"{\\n \\\"items\\\": [],\\n \\\"total\\\": 0,\\n \\\"page\\\": 1,\\n \\\"size\\\": 50,\\n \\\"pages\\\": 0\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_zwqs13sr"
},
{
"role": "assistant",
"content": "Die **Messages** (deine 20 Fakten) sind alle da! Hab die ersten 10 von 20 gesehen. Aber die **Conclusions** sind noch leer — der Deriver hat sie noch nicht fertig verarbeitet.\n\nKurze Übersicht wie Honcho dein Gedächtnis aufbaut:\n\n- **Messages** = Rohdaten (deine 20 Fakten) → ✅ Vollständig\n- **Conclusions** = Abgeleitete Erkenntnisse aus den Messages → 🔄 Noch in Verarbeitung\n- **Representation** = Komprimiertes Gesamtbild deiner Person → 🔄 Noch in Verarbeitung\n\nDas kannst du jederzeit selbst checken:\n```bash\n# Alle Messages lesen\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages/list -H \"Content-Type: application/json\" -d '{}' | python3 -m json.tool\n\n# Conclusions (sobald fertig)\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list -H \"Content-Type: application/json\" -d '{}' | python3 -m json.tool\n\n# Semantische Suche über dein Profil\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/peers/ahmed-zeyd-aytac/search -H \"Content-Type: application/json\" -d '{\"query\": \"Wie kommuniziert Ahmed?\"}' | python3 -m json.tool\n```\n\nSoll ich später nochmal die Conclusions checken?",
"reasoning": "The user asked if they can read the Honcho memory somewhere. I've retrieved the messages (all 20 facts are there), but the conclusions are still empty — the Deriver hasn't finished processing yet.\n\nLet me present what we have:\n1. Messages: All 20 facts are stored and readable\n2. Conclusions: Still empty (Deriver still processing)\n\nI should show the user what's there and explain the state."
},
{
"role": "user",
"content": "Check meine Mails, der Notar aht geantwortet. Schreibe ihm, dass du dich bedankst, dass das passt und dass du dich zwecks terminvereinabrung an seine kanzlei wenden wirst zuerst der entwurf hier bitte"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_ntowlore",
"call_id": "call_ntowlore",
"response_item_id": "fc_ntowlore",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"google-workspace\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Der Boss möchte:\n1. Seine Mails checken (speziell vom Notar)\n2. Eine Antwort-Mail entwerfen, die sich bedankt, bestätigt dass es passt, und ankündigt dass er sich zwecks Terminvereinbarung an die Kanzlei wenden wird\n3. Zuerst den Entwurf hier zeigen\n\nIch brauche die Google Workspace Skills für Gmail. Lass mich die laden.",
"reasoning_content": "Der Boss möchte:\n1. Seine Mails checken (speziell vom Notar)\n2. Eine Antwort-Mail entwerfen, die sich bedankt, bestätigt dass es passt, und ankündigt dass er sich zwecks Terminvereinbarung an die Kanzlei wenden wird\n3. Zuerst den Entwurf hier zeigen\n\nIch brauche die Google Workspace Skills für Gmail. Lass mich die laden."
},
{
"role": "tool",
"content": "{\"success\": true, \"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\", \"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"related_skills\": [\"himalaya\"], \"content\": \"---\\nname: google-workspace\\ndescription: \\\"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\\\"\\nversion: 1.0.1\\nauthor: Nous Research\\nlicense: MIT\\nrequired_credential_files:\\n - path: /DATA/AppData/hermes/google_client_secret.json\\n description: Google OAuth2 client credentials - project amadeus-494810\\n - path: /DATA/.hermes/google_token.json\\n description: Google OAuth2 token - ahmed.aytac@gmail.com, all scopes granted\\nmetadata:\\n hermes:\\n tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [himalaya]\\n---\\n\\n# Google Workspace\\n\\nGmail, Calendar, Drive, Contacts, Sheets, and Docs — through Hermes-managed OAuth and a thin CLI wrapper. When `gws` is installed, the skill uses it as the execution backend for broader Google Workspace coverage; otherwise it falls back to the bundled Python client implementation.\\n\\n## References\\n\\n- `references/gmail-search-syntax.md` — Gmail search operators (is:unread, from:, newer_than:, etc.)\\n- `references/bulk-gmail-operations.md` — Bulk deletion: rate-limiting, retry patterns, date-range pagination\\n\\n## Scripts\\n\\n- `scripts/setup.py` — OAuth2 setup (run once to authorize)\\n- `scripts/google_api.py` — compatibility wrapper CLI. It prefers `gws` for operations when available, while preserving Hermes' existing JSON output contract.\\n\\n## First-Time Setup\\n\\nThe setup is fully non-interactive — you drive it step by step so it works\\non CLI, Telegram, Discord, or any platform.\\n\\nDefine a shorthand first:\\n\\n```bash\\nGSETUP=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/setup.py\\\"\\n```\\n\\n### Step 0: Check if already set up\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nIf it prints `AUTHENTICATED`, skip to Usage — setup is already done.\\n\\n### Step 1: Triage — ask the user what they need\\n\\nBefore starting OAuth setup, ask the user TWO questions:\\n\\n**Question 1: \\\"What Google services do you need? Just email, or also\\nCalendar/Drive/Sheets/Docs?\\\"**\\n\\n- **Email only** → They don't need this skill at all. Use the `himalaya` skill\\n instead — it works with a Gmail App Password (Settings → Security → App\\n Passwords) and takes 2 minutes to set up. No Google Cloud project needed.\\n Load the himalaya skill and follow its setup instructions.\\n\\n- **Anything beyond email** → Continue with this skill. Note: the setup\\n script (`setup.py`) always requests the full SCOPES list (Gmail\\n read/send/modify, Calendar, Drive read, Contacts, Sheets, Docs read).\\n There is no `--services` flag to narrow scopes — the user can deselect\\n individual permissions in Google's consent screen if desired.\\n\\n**Question 2: \\\"Does your Google account use Advanced Protection (hardware\\nsecurity keys required to sign in)? If you're not sure, you probably don't\\n— it's something you would have explicitly enrolled in.\\\"**\\n\\n- **No / Not sure** → Normal setup. Continue below.\\n- **Yes** → Their Workspace admin must add the OAuth client ID to the org's\\n allowed apps list before Step 4 will work. Let them know upfront.\\n\\n### Step 2: Create OAuth credentials (one-time, ~5 minutes)\\n\\nTell the user:\\n\\n> You need a Google Cloud OAuth client. This is a one-time setup:\\n>\\n> 1. Create or select a project:\\n> https://console.cloud.google.com/projectselector2/home/dashboard\\n> 2. Enable the required APIs from the API Library:\\n> https://console.cloud.google.com/apis/library\\n> Enable: Gmail API, Google Calendar API, Google Drive API,\\n> Google Sheets API, Google Docs API, People API\\n> 3. Create the OAuth client here:\\n> https://console.cloud.google.com/apis/credentials\\n> Credentials → Create Credentials → OAuth 2.0 Client ID\\n> 4. Application type: \\\"Desktop app\\\" → Create\\n> 5. If the app is still in Testing, add the user's Google account as a test user here:\\n> https://console.cloud.google.com/auth/audience\\n> Audience → Test users → Add users\\n> 6. Download the JSON file and tell me the file path\\n>\\n> Important Hermes CLI note: if the file path starts with `/`, do NOT send only the bare path as its own message in the CLI, because it can be mistaken for a slash command. Send it in a sentence instead, like:\\n> `The JSON file path is: /home/user/Downloads/client_secret_....json`\\n\\nOnce they provide the path:\\n\\n```bash\\n$GSETUP --client-secret /path/to/client_secret.json\\n```\\n\\nIf they paste the raw client ID / client secret values instead of a file path,\\nwrite a valid Desktop OAuth JSON file for them yourself, save it somewhere\\nexplicit (for example `~/Downloads/hermes-google-client-secret.json`), then run\\n`--client-secret` against that file.\\n\\n### Step 3: Get authorization URL\\n\\n```bash\\n$GSETUP --auth-url\\n```\\n\\nThe script prints the full OAuth URL to stdout. The agent must extract it and\\nsend it to the user as a clickable link.\\n\\nAgent rules for this step:\\n- The script outputs ONLY the URL (one line) — no JSON wrapper, no `auth_url` field.\\n- Send that exact URL to the user as a single line. It needs to be a clickable link.\\n- Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected.\\n- Tell them to copy the ENTIRE redirected URL from the browser address bar.\\n- If the user gets `Error 403: access_denied`, send them directly to `https://console.cloud.google.com/auth/audience` to add themselves as a test user.\\n\\n### Step 4: Exchange the code\\n\\nThe user will paste back either a URL like `http://localhost:1/?code=4/0A...&scope=...`\\nor just the code string. Either works. The `--auth-url` step stores a temporary\\npending OAuth session locally so `--auth-code` can complete the PKCE exchange\\nlater, even on headless systems:\\n\\n```bash\\n$GSETUP --auth-code \\\"THE_URL_OR_CODE_THE_USER_PASTED\\\"\\n```\\n\\nIf `--auth-code` fails because the code expired, was already used, or came from\\nan older browser tab, run `$GSETUP --auth-url` again to get a fresh URL.\\n\\n### Step 5: Verify\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nShould print `AUTHENTICATED`. Setup is complete — token refreshes automatically from now on.\\n\\n### Notes\\n\\n- Token is stored at `~/.hermes/google_token.json` and auto-refreshes.\\n- Pending OAuth session state/verifier are stored temporarily at `~/.hermes/google_oauth_pending.json` until exchange completes.\\n- If `gws` is installed, `google_api.py` points it at the same `~/.hermes/google_token.json` credentials file. Users do not need to run a separate `gws auth login` flow.\\n- To revoke: `$GSETUP --revoke`\\n- **Zeyd's setup:** Client secret stored at `/DATA/AppData/hermes/google_client_secret.json` (project: `amadeus-494810`, client ID `760929667815-...`). Token at `/DATA/.hermes/google_token.json` (profile-scoped). Gmail address: `ahmed.aytac@gmail.com`. All scopes granted (Gmail read/send/modify, Calendar, Drive, Contacts, Sheets, Docs). Do NOT re-ask for client secret path if these files exist.\\n\\n## Usage\\n\\nAll commands go through the API script. Set `GAPI` as a shorthand:\\n\\n```bash\\nGAPI=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n```\\n\\n### Gmail\\n\\n```bash\\n# Search (returns JSON array with id, from, subject, date, snippet)\\n$GAPI gmail search \\\"is:unread\\\" --max 10\\n$GAPI gmail search \\\"from:boss@company.com newer_than:1d\\\"\\n$GAPI gmail search \\\"has:attachment filename:pdf newer_than:7d\\\"\\n\\n# Read full message (returns JSON with body text)\\n$GAPI gmail get MESSAGE_ID\\n\\n# Send\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --body \\\"Message text\\\"\\n$GAPI gmail send --to user@example.com --subject \\\"Report\\\" --body \\\"
Q4
Details...
\\\" --html\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --from '\\\"Research Agent\\\" ' --body \\\"Message text\\\"\\n\\n# Reply (automatically threads and sets In-Reply-To)\\n$GAPI gmail reply MESSAGE_ID --body \\\"Thanks, that works for me.\\\"\\n$GAPI gmail reply MESSAGE_ID --from '\\\"Support Bot\\\" ' --body \\\"Thanks\\\"\\n\\n# Labels\\n$GAPI gmail labels\\n$GAPI gmail modify MESSAGE_ID --add-labels LABEL_ID\\n$GAPI gmail modify MESSAGE_ID --remove-labels UNREAD\\n```\\n\\n### Calendar\\n\\n```bash\\n# List events (defaults to next 7 days)\\n$GAPI calendar list\\n$GAPI calendar list --start 2026-03-01T00:00:00Z --end 2026-03-07T23:59:59Z\\n\\n# Create event (ISO 8601 with timezone required)\\n$GAPI calendar create --summary \\\"Team Standup\\\" --start 2026-03-01T10:00:00-06:00 --end 2026-03-01T10:30:00-06:00\\n$GAPI calendar create --summary \\\"Lunch\\\" --start 2026-03-01T12:00:00Z --end 2026-03-01T13:00:00Z --location \\\"Cafe\\\"\\n$GAPI calendar create --summary \\\"Review\\\" --start 2026-03-01T14:00:00Z --end 2026-03-01T15:00:00Z --attendees \\\"alice@co.com,bob@co.com\\\"\\n\\n# Delete event\\n$GAPI calendar delete EVENT_ID\\n```\\n\\n### Drive\\n\\n```bash\\n$GAPI drive search \\\"quarterly report\\\" --max 10\\n$GAPI drive search \\\"mimeType='application/pdf'\\\" --raw-query --max 5\\n```\\n\\n### Contacts\\n\\n```bash\\n$GAPI contacts list --max 20\\n```\\n\\n### Sheets\\n\\n```bash\\n# Read\\n$GAPI sheets get SHEET_ID \\\"Sheet1!A1:D10\\\"\\n\\n# Write\\n$GAPI sheets update SHEET_ID \\\"Sheet1!A1:B2\\\" --values '[[\\\"Name\\\",\\\"Score\\\"],[\\\"Alice\\\",\\\"95\\\"]]'\\n\\n# Append rows\\n$GAPI sheets append SHEET_ID \\\"Sheet1!A:C\\\" --values '[[\\\"new\\\",\\\"row\\\",\\\"data\\\"]]'\\n```\\n\\n### Docs\\n\\n```bash\\n$GAPI docs get DOC_ID\\n```\\n\\n## Output Format\\n\\nAll commands return JSON. Parse with `jq` or read directly. Key fields:\\n\\n- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`\\n- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`\\n- **Gmail send/reply**: `{status: \\\"sent\\\", id, threadId}`\\n- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`\\n- **Calendar create**: `{status: \\\"created\\\", id, summary, htmlLink}`\\n- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`\\n- **Contacts list**: `[{name, emails: [...], phones: [...]}]`\\n- **Sheets get**: `[[cell, cell, ...], ...]`\\n\\n## Rules\\n\\n1. **Never send email or create/delete events without confirming with the user first.** Show the draft content and ask for approval.\\n2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.\\n3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view(\\\"google-workspace\\\", file_path=\\\"references/gmail-search-syntax.md\\\")`.\\n4. **Calendar times must include timezone** — always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).\\n5. **Respect rate limits** — avoid rapid-fire sequential API calls. Batch reads when possible.\\n\\n## Pitfalls\\n\\n- **Image-extracted addresses**: When the recipient email comes from an image (screenshot, WhatsApp share, photo), OCR/vision can misread characters — e.g. `sanktmarien.at` read as `sanktmariaen.at`. Before sending, sanity-check the domain against known patterns (schools, companies, etc.) and confirm with the user if anything looks off. A wrong domain means the email goes into a black hole with no bounce.\\n\\n## Troubleshooting\\n\\n| Problem | Fix |\\n|---------|-----|\\n| `NOT_AUTHENTICATED` | Run setup Steps 2-5 above |\\n| `REFRESH_FAILED` | Token revoked or expired — redo Steps 3-5 |\\n| `HttpError 403: Insufficient Permission` | Missing API scope — `$GSETUP --revoke` then redo Steps 3-5 |\\n| `HttpError 403: Access Not Configured` | API not enabled — user needs to enable it in Google Cloud Console |\\n| `ModuleNotFoundError` | Run `$GSETUP --install-deps` |\\n| Advanced Protection blocks auth | Workspace admin must allowlist the OAuth client ID |\\n| Terminal tool blocks `&` in subject/body as backgrounding | False positive from the terminal sandbox — just re-run; it usually succeeds on the retry. If it persists, escape the `&` as `\\\\&` or quote the entire `--body` string with single quotes instead of double quotes. |\\n\\n## Revoking Access\\n\\n```bash\\n$GSETUP --revoke\\n```\\n\", \"path\": \"productivity/google-workspace/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/productivity/google-workspace\", \"linked_files\": {\"references\": [\"references/bulk-gmail-operations.md\", \"references/gmail-search-syntax.md\"], \"scripts\": [\"scripts/_hermes_home.py\", \"scripts/google_api.py\", \"scripts/gws_bridge.py\", \"scripts/setup.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [\"/DATA/AppData/hermes/google_client_secret.json\", \"/DATA/.hermes/google_token.json\"], \"missing_required_commands\": [], \"setup_needed\": true, \"setup_skipped\": false, \"readiness_status\": \"setup_needed\", \"setup_note\": \"Setup needed before using this skill: missing file /DATA/AppData/hermes/google_client_secret.json, file /DATA/.hermes/google_token.json.\", \"metadata\": {\"hermes\": {\"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"himalaya\"]}}}",
"tool_call_id": "call_ntowlore"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_ss77dms8",
"call_id": "call_ss77dms8",
"response_item_id": "fc_ss77dms8",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail search \\\"Notar\\\" --max 10\",\"timeout\":15}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The skill says all setup is done, the token is at `/DATA/.hermes/google_token.json`. I need to:\n\n1. Search for emails from \"Notar\" (notary) in Gmail\n2. Find the latest response from the notary\n3. Show the email content\n4. Draft a reply thanking them, confirming it works, and saying you'll contact their office for scheduling\n\nLet me search for \"Notar\" in Gmail first.",
"reasoning_content": "The skill says all setup is done, the token is at `/DATA/.hermes/google_token.json`. I need to:\n\n1. Search for emails from \"Notar\" (notary) in Gmail\n2. Find the latest response from the notary\n3. Show the email content\n4. Draft a reply thanking them, confirming it works, and saying you'll contact their office for scheduling\n\nLet me search for \"Notar\" in Gmail first."
},
{
"role": "tool",
"content": "{\"output\": \"[\\n {\\n \\\"id\\\": \\\"19e40ccf06b2c769\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Notariat Stockinger \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 15:13:51 +0000\\\",\\n \\\"snippet\\\": \\\"Danke für die Anfrage, ich habe direkt unten im Mail geantwortet. Mit freundlichen Grüßen Mag. Harald Stockinger öffentlicher Notar Notariatskanzlei Mag. Harald Stockinger Rilkeplatz 1, A-1040 Wien Tel\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19e3f973480d0005\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\",\\n \\\"subject\\\": \\\"\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 02:35:34 -0700\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Mag. Stockinger, ich war bereits einige Male gemeinsam mit Herrn Baumeister Marjan Mihailovic (Living Dream Immoinvest GmbH) bei Ihnen in der Kanzlei, wobei wir damals auch kurz die\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19d6dedb1d2e97cd\\\",\\n \\\"threadId\\\": \\\"19d6dedb1d2e97cd\\\",\\n \\\"from\\\": \\\"Madeleine Petrovic - Tierschutz Austria \\\",\\n \\\"to\\\": \\\"ahmed.aytac@gmail.com\\\",\\n \\\"subject\\\": \\\"Wochen des Guten Testaments\\\",\\n \\\"date\\\": \\\"Wed, 08 Apr 2026 18:29:46 +0200 (CEST)\\\",\\n \\\"snippet\\\": \\\"Informationen zu Erbrecht, Testament und Vorsorge für den Notfall + weitere Events Online ansehen Hallo Ahmed Zeyd! Vom 09. April bis 12. Mai 2026 finden die Wochen des Guten Testaments statt. Die\\\",\\n \\\"labels\\\": [\\n \\\"CATEGORY_UPDATES\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c65996a982b230\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Mon, 16 Feb 2026 09:37:58 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister, in der Beilage die Dokumente. Haben Sie herzlichen Dank! Mit freundlichen Grüßen Ahmed Zeyd Aytac Am Mi., 11. Feb. 2026 um 15:38 Uhr schrieb Mag. Robert Charvat <charvat\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c4d233dafe12af\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"to\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"subject\\\": \\\"AW: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Wed, 11 Feb 2026 14:37:49 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Aytac! In der Anlage der JA, StE etc. Bitte lassen Sie mir die Unterlagen unterfertigt zukommen, damit ich die Einreichung beim FB durchführen kann. LG RC Von: Ahmed Zeyd Aytac <\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c31fa7a371330f\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Fri, 6 Feb 2026 09:03:44 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister! Hier noch die HN vom Notar. MfG Ahmed Zeyd Aytac Am Di., 27. Jan. 2026 um 15:21 Uhr schrieb Ahmed Zeyd Aytac <ahmed.aytac@gmail.com>: Sehr geehrter Herr Magister!\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c31b20d391a96f\\\",\\n \\\"threadId\\\": \\\"19c31b20d391a96f\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mireille Lichal (Notar Reim)\\\\\\\" \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Bitte Übermittlung HNZeyd Aytac \\\",\\n \\\"date\\\": \\\"Fri, 6 Feb 2026 06:44:35 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Zeyd Aytac! In der Anlage übermittle ich die beiden Honorarnoten. Mit freundlichen Grüßen Mireille Lichal, Notariatsassistentin DW 21 Von: Ahmed Zeyd Aytac <ahmed.aytac@gmail.com\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c2e2b1e16cf242\\\",\\n \\\"threadId\\\": \\\"19c2e298b1851787\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"office@notar-reim.at\\\",\\n \\\"subject\\\": \\\"Bitte Übermittlung HN\\\",\\n \\\"date\\\": \\\"Thu, 5 Feb 2026 15:18:23 +0100\\\",\\n \\\"snippet\\\": \\\"Liebes Team! Leider kann ich aktuell die HN 1394/2024 sowie 1397/2024 nicht mehr finden, die ich aber dringend für meine Buchhaltung brauche. Wären Sie so freundlich, mir diese IHN nochmals zu\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19bffd4f0aa718c0\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Tue, 27 Jan 2026 15:21:43 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister! Anbei die Infos! 1. Rechnung an Dr. Golabi für Beratungsleistung (RE 1029 in Anlage) 2. Munchos ausbuchen gerne. 3. Von der Kuvarz wurden umfassende Waren für den Kunden\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"to\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"subject\\\": \\\"Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Tue, 27 Jan 2026 14:02:06 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Aytac! Folgende Fragen bzw Anmerkungen zum JA 2024: Am 17. September haben Sie eine Zahlung von € 167,50 von Fr Dr Golabi erhalten. Wofür war diese Zahlung? Bei Munchos gibt es eine\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n }\\n]\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_ss77dms8"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_sw068o9y",
"call_id": "call_sw068o9y",
"response_item_id": "fc_sw068o9y",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail get 19e40ccf06b2c769\",\"timeout\":10}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Der Notar Stockinger hat geantwortet! Lass mich die ganze Mail lesen und dann den Entwurf schreiben.",
"reasoning_content": "Der Notar Stockinger hat geantwortet! Lass mich die ganze Mail lesen und dann den Entwurf schreiben."
},
{
"role": "tool",
"content": "{\"output\": \"{\\n \\\"id\\\": \\\"19e40ccf06b2c769\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Notariat Stockinger \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 15:13:51 +0000\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ],\\n \\\"body\\\": \\\"Danke für die Anfrage, ich habe direkt unten im Mail geantwortet.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMit freundlichen Grüßen\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMag. Harald Stockinger\\\\r\\\\n\\\\r\\\\nöffentlicher Notar\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNotariatskanzlei Mag. Harald Stockinger\\\\r\\\\n\\\\r\\\\nRilkeplatz 1, A-1040 Wien\\\\r\\\\n\\\\r\\\\nTel: +43 (1) 505 40 21\\\\r\\\\n\\\\r\\\\nE-Mail: office@notar-stockinger.at\\\\r\\\\n\\\\r\\\\nInternet: www.notar-stockinger.at\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nDiese Nachricht und der Inhalt allfälliger angeschlossener Dateien sind vertraulich und nur für den/die Adressaten bestimmt. Sollten Sie nicht der beabsichtigte Adressat sein, ist jede Offenlegung, Weiterleitung oder sonstige Verwendung dieser Information nicht gestattet. In diesem Fall bitten wir, den Absender zu verständigen und die Information zu vernichten.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n-----Ursprüngliche Nachricht-----\\\\r\\\\nVon: Ahmed Zeyd Aytac \\\\r\\\\nGesendet: Dienstag, 19. Mai 2026 11:36\\\\r\\\\nAn: Notariat Stockinger \\\\r\\\\nBetreff: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nSehr geehrter Herr Mag. Stockinger,\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nich war bereits einige Male gemeinsam mit Herrn Baumeister Marjan Mihailovic (Living Dream Immoinvest GmbH) bei Ihnen in der Kanzlei, wobei wir damals auch kurz die Liquidation meiner Aytac Solutions GmbH angesprochen haben.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNun möchte ich das Thema konkret angehen und bitte um Ihre Unterstützung bei folgenden zwei Gesellschaften:\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n1) Aytac Solutions GmbH (FN 604946b)\\\\r\\\\n\\\\r\\\\nHier benötige ich eine komplette Begleitung der Liquidation – vom Gesellschafterbeschluss über die Einbringung ins Firmenbuch bis zur Durchführung der Liquidation.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nAls Notarkosten für die komplette Liquidation (Generalversammlung, Firmenbucheingabe, Beglaubigungen, Löschung aus dem Firmenbuch, etc…) fällt ein reduzierter pauschalierter Betrag in Höhe von € 1.200,- zuzüglich UST und Barauslagen (Stempelgebühren für die Generalversammlung € 221,-; Eingabegebühren ca. € 200.00) an.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n2) ninetyOne Communications GmbH in Liquidation (FN 627968h) Die Schlussbilanz wurde bereits eingebracht (ich bin seit 15.10.2024 als Liquidator eingetragen). Hier fehlt nur mehr der letzte Beschluss (Schluss der Liquidation / Löschung).\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNotarkosten für Beschluss (unbeglaubigt) und Firmenbucheingabe (beglaubigte Unterschrift Liquidator) betragen € 400,- plus Ust plus Barauslagen von ca. € 100,-\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nKönnten Sie mir bitte ein ungefähres Preisangebot für diese beiden Vorgänge nennen?\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nFür Rückfragen stehe ich gerne zur Verfügung.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMit freundlichen Grüßen,\\\\r\\\\n\\\\r\\\\nAhmed Zeyd Aytac\\\\r\\\\n\\\"\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_sw068o9y"
},
{
"role": "assistant",
"content": "Antwort von Mag. Stockinger ist da — er hat die Preise direkt in deine ursprüngliche Mail reingeschrieben:\n\n- **Aytac Solutions GmbH**: €1.200 + USt + Barauslagen (~€421) für komplette Liquidation\n- **ninetyOne Communications GmbH**: €400 + USt + Barauslagen (~€100) für Schlussbeschluss/Löschung\n\nHier der Entwurf:\n\n---\n\nSehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung und die transparenten Preisangaben — das passt so für mich.\n\nIch werde mich zeitnah telefonisch bei Ihrer Kanzlei melden, um einen Termin für die weitere Vorgehensweise zu vereinbaren.\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\n---\n\nPasst das so? Soll ich's direkt als Reply auf seine Mail senden?",
"reasoning": "Der Notar hat geantwortet! Er hat die Kosten direkt in deiner ursprünglichen Mail beantwortet („direkt unten im Mail geantwortet\"). Die Details:\n\n- **Aytac Solutions GmbH**: Pauschal €1.200 + USt + Barauslagen (Stempelgebühren €221, Eingabegebühren ca. €200) für komplette Liquidation\n- **ninetyOne Communications GmbH**: €400 + USt + Barauslagen ca. €100 für Schlussbeschluss/Löschung\n\nDer Notar will einfach nur sagen: \"Danke für die Anfrage, hier sind die Preise - hab sie direkt in deine Mail reingeschrieben.\" Aber du willst einen Entwurf für eine Antwort. Der Boss möchte den Entwurf zuerst sehen.\n\nEr sagt: \"Schreibe ihm, dass du dich bedankst, dass das passt und dass du dich zwecks terminvereinabrung an seine kanzlei wenden wirst zuerst der entwurf hier bitte\"\n\nAlso Entwurf:\n- Bedanken\n- Passt / Preise akzeptiert\n- Werde mich zwecks Terminvereinbarung an die Kanzlei wenden\n\nJetzt muss ich das in der Rolle von Ahmed Zeyd Aytac schreiben, in österreichischem Deutsch, formell für einen Notar.\n\nEntwurf:\n\nSehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung und die klaren Preisangaben — das passt so für mich.\n\nIch werde mich zeitnah telefonisch bei Ihrer Kanzlei melden, um einen Termin zur weiteren Vorgehensweise zu vereinbaren.\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\nDas ist clean, direkt, formell. Perfekt."
},
{
"role": "user",
"content": "Sehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung - das passt.\n\nIch wende mich an ihre Kanzlei zwecks Terminvereinbarung!\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\nBitte so ihm schicken als antwort"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_7uwksjc7",
"call_id": "call_7uwksjc7",
"response_item_id": "fc_7uwksjc7",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail reply 19e40ccf06b2c769 --body \\\"Sehr geehrter Herr Mag. Stockinger,\\n\\nvielen Dank für Ihre Rückmeldung - das passt.\\n\\nIch wende mich an ihre Kanzlei zwecks Terminvereinbarung!\\n\\nMit freundlichen Grüßen,\\nAhmed Zeyd Aytac\\\"\",\"timeout\":15}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "The user wants me to send this as a reply to the email from Mag. Stockinger. The original email ID is 19e40ccf06b2c769.\n\nLet me compose the exact text the user provided and send it as a reply.",
"reasoning_content": "The user wants me to send this as a reply to the email from Mag. Stockinger. The original email ID is 19e40ccf06b2c769.\n\nLet me compose the exact text the user provided and send it as a reply."
},
{
"role": "tool",
"content": "{\"output\": \"{\\n \\\"status\\\": \\\"sent\\\",\\n \\\"id\\\": \\\"19e49d09a62034d2\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\"\\n}\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_7uwksjc7"
},
{
"role": "assistant",
"content": "Gesendet, Boss. Ist als Reply auf seine Mail im selben Thread raus. ✅",
"reasoning": "The email was sent successfully. Let me confirm to the boss."
},
{
"role": "user",
"content": "Lass uns eine App als Docker Container auf ZimaOS bauen. Planen wir die App zu erst gemeinsam und ann baust du sie mit Claufe Code harness. Es soll eine App sein, mit der meine Frau und ich unsere finanzen bzw vermögen tracken können!"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_va9k3lvg",
"call_id": "call_va9k3lvg",
"response_item_id": "fc_va9k3lvg",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"zimaos-web-app\"}"
}
},
{
"id": "call_3uw0emte",
"call_id": "call_3uw0emte",
"response_item_id": "fc_3uw0emte",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"writing-plans\"}"
}
},
{
"id": "call_xbyhnimt",
"call_id": "call_xbyhnimt",
"response_item_id": "fc_xbyhnimt",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"subagent-driven-development\"}"
}
},
{
"id": "call_lv5dirvq",
"call_id": "call_lv5dirvq",
"response_item_id": "fc_lv5dirvq",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"claude-design\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "Der Boss möchte eine App als Docker-Container auf ZimaOS bauen - eine Finanz-/Vermögens-Tracking-App für ihn und seine Frau. Wir sollen gemeinsam planen und dann mit Claude Code Harness bauen.\n\nLass mich zuerst die relevanten Skills laden - sowohl für App-Entwicklung auf ZimaOS als auch für die Planung und das Subagent-Driven Development.",
"reasoning_content": "Der Boss möchte eine App als Docker-Container auf ZimaOS bauen - eine Finanz-/Vermögens-Tracking-App für ihn und seine Frau. Wir sollen gemeinsam planen und dann mit Claude Code Harness bauen.\n\nLass mich zuerst die relevanten Skills laden - sowohl für App-Entwicklung auf ZimaOS als auch für die Planung und das Subagent-Driven Development."
},
{
"role": "tool",
"content": "{\"success\": true, \"name\": \"zimaos-web-app\", \"description\": \"Build small single-file web apps for ZimaOS using FastAPI + vanilla HTML/CSS/JS. Apple-inspired minimal design, mobile-optimized, no auth unless specified.\", \"tags\": [\"zimaos\", \"web-app\", \"fastapi\", \"html\", \"mobile\"], \"related_skills\": [], \"content\": \"---\\nname: zimaos-web-app\\nversion: 1.0.0\\ndescription: Build small single-file web apps for ZimaOS using FastAPI + vanilla HTML/CSS/JS. Apple-inspired minimal design, mobile-optimized, no auth unless specified.\\nauthor: Kiwi\\nmetadata:\\n hermes:\\n tags: [zimaos, web-app, fastapi, html, mobile]\\n---\\n\\n# ZimaOS Web App\\n\\n## Purpose\\nBuild small, self-contained web applications that run on ZimaOS under `/DATA/AppData/hermes/projects/`. The pattern: one Python file (FastAPI backend + static serving) + one HTML file (frontend). Accessible from any device on the local network. No Docker, no Node.js, no build step.\\n\\n## When to Use\\nUse when the user asks for a \\\"small web app\\\", \\\"tool\\\", \\\"web-ui\\\", or any browser-based utility that runs on their ZimaOS server.\\n\\n## Design Rules (user preferences)\\n\\n**UI Style (primary — Zeyd's blue glass-morphism, system-aware theme):**\\n- **System-aware:** Always implement light mode as default with `@media (prefers-color-scheme: dark)` overrides. Never hardcode dark-only. User wants the app to match the device's system setting.\\n- Blue color scheme: primary `#2563EB`, accent `#3B82F6`, dark accent `#1E3A5F`\\n- Glass-morphism: use CSS variables for `card-glass`, `card-border`, `modal-bg` that change between light/dark\\n- Light mode: `--bg: #F8FAFC`, `--card-glass: rgba(255,255,255,0.75)`, `--card-border: rgba(0,0,0,0.06)`\\n- Dark mode: `--bg: #0A0E1A`, `--card-glass: rgba(255,255,255,0.06)`, `--card-border: rgba(255,255,255,0.08)`\\n- Mobile-first with safe-area insets (`env(safe-area-inset-*)`), viewport-fit=cover\\n- Bottom-sheet modals with drag handle (slide-up from bottom, max-height 88vh)\\n- Rounded corners: cards 18px, modal top 22px, buttons 12px\\n- Touch-friendly: minimum 44px tap targets, card `:active` scale(0.97) feedback\\n- Smooth transitions: `cubic-bezier(0.25, 0.1, 0.25, 1)`\\n- Reference apps: DocMaster, DailyDose, PrintVault (style orientation)\\n\\n**UI Style (alternative — Apple-inspired minimal):**\\n- SF Pro fonts, rounded corners (16px), subtle shadows, frosted glass header\\n- Color palette: background `#F2F2F7`, cards `#FFFFFF`, text `#1D1D1F`, blue `#007AFF`, green `#34C759`, red `#FF3B30`\\n- Use only when user explicitly requests Apple/light-minimal style\\n\\n**Auth:**\\n- No authentication unless the user explicitly requests it\\n- If auth needed, use HTTP Basic Auth middleware (like DocMaster)\\n\\n## Deployment Patterns\\n\\n### Option A: Direct Python (quick dev)\\nRun via: `python main.py` (uses uvicorn in `__main__`).\\nPort: pick an unused port near 3000 (check with `ss -tlnp | grep 300`).\\n\\n### Option B: Docker Container (production, user preference)\\nUse when the user wants a persistent container with CasaOS dashboard integration.\\n\\n**Build (ZimaOS quirks):**\\n```bash\\n# ZimaOS has read-only /root/.docker — must use HOME=/tmp\\n# User az-a is NOT in docker group — always sudo\\nsudo env HOME=/tmp docker build -t /DATA/AppData/hermes/projects/\\n```\\n\\n**Deploy — choose pattern A or B:**\\n\\nSee *Two valid deployment patterns* below for complete instructions with correct hostname/icon conventions.\\n\\n**Dockerfile (if needed):**\\n```dockerfile\\nFROM python:3.11-slim\\nRUN pip install --no-cache-dir fastapi uvicorn \\nWORKDIR /app\\nCOPY main.py .\\nCOPY frontend/ frontend/\\nENV MPLCONFIGDIR=/tmp/matplotlib # if using matplotlib\\nEXPOSE \\nCMD [\\\"uvicorn\\\", \\\"main:app\\\", \\\"--host\\\", \\\"0.0.0.0\\\", \\\"--port\\\", \\\"\\\"]\\n```\\n\\n## CasaOS Dashboard Integration\\n\\n### \\\"Derzeit nicht unterstützt\\\" — Root Cause & Complete Fix\\n\\nWhen clicking an app tile in CasaOS shows \\\"Derzeit nicht unterstützt\\\" (currently not supported), there are **two layers** to the fix. Apply both:\\n\\n**Layer 1: CSP iframe middleware** — allow CasaOS to embed your app:\\n```python\\n@app.middleware(\\\"http\\\")\\nasync def add_frame_options(request: Request, call_next):\\n \\\"\\\"\\\"Allow iframe embedding for CasaOS dashboard.\\\"\\\"\\\"\\n response = await call_next(request)\\n response.headers[\\\"X-Frame-Options\\\"] = \\\"ALLOWALL\\\"\\n response.headers[\\\"Content-Security-Policy\\\"] = \\\"frame-ancestors 'self' http://*:* https://*:*;\\\"\\n return response\\n```\\n\\n**Layer 2: App type registration** — this is the REAL root cause. `zimaos-app-management` discovers containers by scanning Docker labels and compose files. It assigns an `app_type`:\\n\\n- `container` — discovered via direct `docker run` (no `com.docker.compose.*` labels). Works. The gateway reads `casaos.*` Docker labels directly for routing.\\n- `v2app` — discovered via compose files with `com.docker.compose.project` labels. Works when a proper `x-casaos` extension block is present in the compose file. Without `x-casaos`, the service logs `error: \\\"extension x-casaos not found\\\"` → dashboard shows \\\"Derzeit nicht unterstützt\\\".\\n\\n**Both patterns work:** `docker run` with `casaos.*` labels (Pattern A, no compose needed) OR compose file with `x-casaos` block (Pattern B). Never use compose WITHOUT `x-casaos`.\\n\\n**Complete fix — switch from compose to docker run, then clean up app-management.json:**\\n```bash\\n# 1. Stop and remove compose-managed container\\nsudo docker stop 2>/dev/null\\nsudo docker rm 2>/dev/null\\n\\n# 2. Start directly with casaos.* labels only (NO compose labels)\\nsudo docker run -d \\\\\\n --name \\\\\\n --network bridge \\\\\\n --restart unless-stopped \\\\\\n -p : \\\\\\n -v /media/HDD_1TB/:/data \\\\\\n -e PORT= \\\\\\n -l casaos.title=\\\"\\\" \\\\\\n -l casaos.description=\\\"\\\" \\\\\\n -l casaos.icon=\\\"http://localhost:/icon.svg\\\" \\\\\\n -l casaos.scheme=\\\"http\\\" \\\\\\n -l casaos.hostname=\\\"\\\" \\\\\\n -l casaos.port=\\\"\\\" \\\\\\n -l casaos.index=\\\"/\\\" \\\\\\n -l casaos.category=\\\"Utilities\\\" \\\\\\n \\n\\n# 3. Stop app-management, remove old v2app entries, restart\\nsudo systemctl stop zimaos-app-management\\nsudo python3 -c \\\"\\nimport json\\nwith open('/etc/casaos/app-management.json') as f:\\n apps = json.load(f)\\n# Remove old v2app entries by name AND old container hash entries\\napps = [a for a in apps if a.get('name','') not in ('','')]\\nwith open('/etc/casaos/app-management.json','w') as f:\\n json.dump(apps, f, indent=2)\\n\\\"\\nsudo systemctl start zimaos-app-management\\nsleep 5\\nsudo systemctl restart zimaos-gateway\\n\\n# 4. Verify: both apps should now be type 'container'\\nsudo docker ps --format '{{.Names}} {{.Status}}' | grep -E ''\\n# Also check no x-casaos errors in logs:\\nsudo journalctl -u zimaos-app-management --since \\\"1 min ago\\\" --no-pager | grep -i x-casaos\\n```\\n\\n**Critical details:**\\n- Stop app-management BEFORE editing the JSON — the service overwrites it from memory on shutdown. Edit while stopped, then start.\\n- Remove ALL old entries for the app (both the `v2app` by name and any stale `container` entry by Docker hash ID). Otherwise duplicates appear.\\n- `zimaos-gateway` must be restarted after app-management to pick up the new routes. Gateway caches are the #1 cause of \\\"fixed JSON but still shows error\\\".\\n- This approach survives reboots — `docker run` with `--restart unless-stopped` re-launches the container with the same labels. No compose file needed.\\n\\n**Verification — check the appgrid API:**\\n```bash\\nPORT=$(sudo ss -tlnp | grep zimaos-app-man | awk '{print $4}' | cut -d: -f2 | head -1)\\ncurl -s http://127.0.0.1:$PORT/v2/app_management/web/appgrid | python3 -c \\\"\\nimport json,sys\\nfor item in json.load(sys.stdin)['data']:\\n if item.get('app_type') == 'container':\\n print(item.get('title',{}).get('en_US','?'), '-> type:', item.get('app_type'))\\n\\\"\\n```\\n\\n### network_mode: bridge\\n\\nApps deployed via docker compose get isolated networks by default (e.g., `printvault_default` on 172.19.x). CasaOS can only reach containers on the default `bridge` network. Add to docker-compose.yml:\\n```yaml\\n network_mode: bridge\\n```\\n\\n### Two valid deployment patterns\\n\\n**Pattern A: `container` type via `docker run` + `casaos.*` labels** — recommended for simple apps. Container is discovered via Docker daemon scanning and registered as `container` type. Routing data is read directly from Docker labels at gateway time — no compose file needed.\\n\\n```bash\\nsudo docker run -d \\\\\\n --name --network bridge --restart unless-stopped \\\\\\n -p : -e PORT= \\\\\\n -l casaos.title=\\\"\\\" \\\\\\n -l casaos.icon=\\\"http://:/icon.svg\\\" \\\\\\n -l casaos.scheme=\\\"http\\\" \\\\\\n -l casaos.hostname=\\\"\\\" \\\\\\n -l casaos.port=\\\"\\\" \\\\\\n -l casaos.index=\\\"/\\\" \\\\\\n -l casaos.category=\\\"Utilities\\\" \\\\\\n \\n```\\n\\n**Pattern B: `v2app` type via `x-casaos` compose file** — for apps that need complex compose config (volumes, env files, depends_on). Place a `docker-compose.yml` in `/var/lib/casaos/apps//` with an `x-casaos` top-level block. The service discovers it and registers as `v2app` type with all fields populated from the `x-casaos` block. **This works — the \\\"never compose\\\" rule below was wrong. See Pitfalls for the distinction.**\\n\\nExample `/var/lib/casaos/apps/PrintVault/docker-compose.yml`:\\n```yaml\\nname: printvault\\nservices:\\n PrintVault:\\n image: printvault\\n network_mode: bridge\\n container_name: PrintVault\\n ports: [\\\"3001:3001\\\"]\\n environment: [PORT=3001]\\n restart: unless-stopped\\nx-casaos:\\n author: self\\n category: self\\n hostname: \\\"\\\" # empty = works everywhere (LAN, VPN, remote) — all official apps use this\\n icon: http://192.168.178.171:3001/icon.svg\\n index: /\\n is_uncontrolled: false\\n port_map: \\\"3001\\\"\\n scheme: http\\n store_app_id: printvault\\n title:\\n custom: PrintVault\\n```\\n\\n**Pattern B deployment steps (proven working):**\\n```bash\\n# 1. Write compose file with x-casaos block (see template above)\\nsudo mkdir -p /var/lib/casaos/apps/\\nsudo tee /var/lib/casaos/apps//docker-compose.yml << 'EOF'\\n# Top-level name must match store_app_id for discovery\\nname: \\nservices:\\n ...\\nx-casaos:\\n store_app_id: \\n ...\\nEOF\\n\\n# 2. Copy source files into the deploy directory (if building from source)\\nsudo cp /main.py /var/lib/casaos/apps//main.py\\nsudo cp -r /frontend/ /var/lib/casaos/apps//frontend/\\n\\n# 3. Stop app-management, rebuild image (--no-cache required!), restart container\\nsudo systemctl stop zimaos-app-management\\ncd /var/lib/casaos/apps/ && sudo docker compose down\\ncd /var/lib/casaos/apps/ && sudo env DOCKER_CONFIG=/tmp/docker-config docker compose build --no-cache\\ncd /var/lib/casaos/apps/ && sudo docker compose up -d\\nsudo systemctl start zimaos-app-management\\nsleep 6\\n\\n# 4. Restart gateway (MANDATORY — routes are cached)\\nsudo systemctl restart zimaos-gateway\\nsleep 8\\n\\n# 5. Verify the app appears in installed list\\nPORT=$(sudo ss -tlnp | grep zimaos-app-man | awk '{print $4}' | cut -d: -f2 | head -1)\\ncurl -s \\\"http://127.0.0.1:$PORT/v2/app_management/apps\\\" | python3 -c \\\"\\nimport json,sys\\ndata=json.load(sys.stdin)\\nprint('Installed:', data['data']['installed'])\\n\\\"\\n```\\n\\n**⚠️ Critical: When source files change, you MUST rebuild.** `docker compose up -d` alone reuses the cached image. If you copied new source files but didn't rebuild, the app runs the old code — this is the #1 cause of \\\"app works but looks old/wrong\\\". Always run `build --no-cache` before `up -d` when files changed.\\n\\n**Why compose without x-casaos fails:** Docker compose generates `com.docker.compose.*` labels even without an `x-casaos` block. These labels trigger `v2app` registration, but without the `x-casaos` extension the app-management service logs `error: \\\"extension x-casaos not found\\\"` → dashboard shows \\\"Derzeit nicht unterstützt\\\". The fix is either: (A) switch to `docker run` with only `casaos.*` labels, OR (B) add the proper `x-casaos` block to the compose file.\\n\\nManual edits to `/etc/casaos/app-management.json` are **reverted by the service on restart** because it regenerates the JSON from in-memory state. To clean up old entries: stop the service first (`sudo systemctl stop zimaos-app-management`), edit the JSON, then start.\\n\\nNote: `title` in app-management.json is an i18n dict (e.g. `{\\\"en_US\\\": \\\"PrintVault\\\"}` or `{\\\"custom\\\": \\\"PrintVault\\\"}`), NOT a flat string — parse with `.get('en_US', '') or .get('custom', '')`, never cast directly. To verify app is registered, query the simpler `installed` list endpoint: `/v2/app_management/apps` → `data.installed` is a flat array of store_app_id strings.\\n\\n### Icon & hostname — critical correctness\\n\\n**`hostname` field determines iframe URL construction.** The CasaOS frontend uses it to build the URL that loads your app in an iframe:\\n- `hostname=\\\"\\\"` (empty string) → frontend uses `window.location.hostname` (the same host the dashboard was accessed from) → works for both LAN and VPN/remote access ✅ (**RECOMMENDED** — all official apps like Plex, Immich, Komga use this)\\n- `hostname=\\\"localhost\\\"` → frontend constructs `localhost:` → resolves to **the client browser's machine**, NOT the ZimaOS server → blank page ❌\\n- `hostname=\\\"192.168.178.171\\\"` (hardcoded LAN IP) → works on LAN but **breaks over VPN/remote access** (client browser can't reach the LAN IP through the VPN tunnel)\\n- `hostname=\\\"172.17.0.x\\\"` (Docker bridge IP) → only reachable from within Docker network → fails from client browser\\n\\n**Icon URL follows a different rule:** the icon must be reachable from the client browser. For LAN-only access, use the server's LAN IP (e.g. `http://192.168.178.171:/icon.svg`). Over VPN, the LAN IP icon URL won't load — but the app still works (icon is cosmetic). If you need universal icon reachability, serve it through the gateway proxy or use a data URI. For simple apps, the LAN IP icon is fine.\\n\\nFor both patterns, determine server IP: `ip route get 1 2>/dev/null | awk '{print $7}' | head -1`\\n\\nServe a local SVG icon at `/icon.svg` (don't use external CDN links — they may fail on some ZimaOS builds):\\n\\n```python\\n@app.get(\\\"/icon.svg\\\")\\ndef serve_icon():\\n return FileResponse(FRONTEND_DIR / \\\"icon.svg\\\", media_type=\\\"image/svg+xml\\\")\\n```\\n\\nThen reference it with the server's LAN IP in your deployment labels/block: `casaos.icon: \\\"http://:/icon.svg\\\"` (see Icon & hostname section above for why localhost doesn't work).\\n\\n## Project Structure\\n\\n**Primary (Source + Data on HDD):** When the user says \\\"alles in einen Ordner\\\" or wants consolidation, put everything on the HDD:\\n\\n```\\n/media/HDD_1TB//\\n├── main.py # FastAPI app — all backend logic\\n├── Dockerfile # Container build\\n├── metadata.json # Persistent data (if any)\\n├── stls/ # Uploaded files (if app handles files)\\n├── thumbs/ # Generated thumbnails\\n└── frontend/\\n ├── index.html # Single HTML file — inline CSS + JS\\n └── icon.svg # App icon\\n```\\n\\nThe `docker-compose.yml` stays in `/var/lib/casaos/apps//` with `build.context` pointing to the HDD path:\\n```yaml\\nservices:\\n :\\n build:\\n context: /media/HDD_1TB/\\n volumes:\\n - /media/HDD_1TB/:/data\\n environment:\\n - DATA_DIR=/data\\n```\\n\\nThis keeps all files on the durable HDD (survives OS reinstalls) while CasaOS still discovers the app via its compose file. The volume mount gives the container access to the same directory as `/data`, and the app uses `DATA_DIR=/data` to find its data.\\n\\n**Secondary (Project on SSD, data on HDD):** For simpler apps where the user hasn't asked for consolidation:\\n\\n```\\n/DATA/AppData/hermes/projects//\\n├── main.py # FastAPI app — all backend logic\\n└── frontend/\\n └── index.html # Single HTML file — inline CSS + JS\\n```\\n\\nWith data on HDD via volume mount: `-v /media/HDD_1TB/:/data`.\\n\\n## FastAPI Backend Template\\n\\n```python\\n\\\"\\\"\\\"\\n — Description\\nFastAPI Backend + Static Frontend\\n\\\"\\\"\\\"\\nfrom pathlib import Path\\nfrom fastapi import FastAPI\\nfrom fastapi.responses import FileResponse\\nfrom fastapi.middleware.cors import CORSMiddleware\\n\\nFRONTEND_DIR = Path(__file__).parent / \\\"frontend\\\"\\n\\napp = FastAPI(title=\\\"\\\")\\napp.add_middleware(CORSMiddleware, allow_origins=[\\\"*\\\"], allow_methods=[\\\"*\\\"], allow_headers=[\\\"*\\\"])\\n\\n@app.get(\\\"/\\\")\\ndef serve_frontend():\\n return FileResponse(FRONTEND_DIR / \\\"index.html\\\")\\n\\n@app.get(\\\"/api/stats\\\")\\ndef stats():\\n return {\\\"status\\\": \\\"ok\\\"}\\n\\nif __name__ == \\\"__main__\\\":\\n import uvicorn\\n uvicorn.run(app, host=\\\"0.0.0.0\\\", port=3001)\\n```\\n\\n## Common API Patterns\\n\\nAdd to any media/file-library app's backend:\\n\\n**File download endpoint:**\\n```python\\n@app.get(\\\"/api/download/{file_id}\\\")\\ndef download_file(file_id: str):\\n file_path = STORAGE_DIR / f\\\"{file_id}.\\\"\\n if not file_path.exists():\\n raise HTTPException(404, \\\"Datei nicht gefunden\\\")\\n meta = load_meta()\\n display_name = meta.get(file_id, {}).get(\\\"name\\\", file_id).replace(\\\" \\\", \\\"_\\\") + \\\".\\\"\\n return FileResponse(file_path, media_type=\\\"application/octet-stream\\\", filename=display_name)\\n```\\n\\n## Frontend Skeleton (Primary — Blue Glass-Morphism, System-Aware Light/Dark)\\n\\nThis is the DEFAULT skeleton. All new apps use this unless the user explicitly asks for the Apple-minimal light variant.\\n\\n**Critical: System-aware theme.** Always use `@media (prefers-color-scheme: dark)` with light-as-default variables. Never hardcode dark-only. The user wants the app to match the device's system setting.\\n\\n```html\\n\\n\\n\\n\\n\\nApp Name\\n\\n\\n\\n
📦 App Name
\\n\\n\\n\\n```\\n\\n### Frontend Skeleton (Alternative — Apple-Inspired Light)\\n\\nUse ONLY when user explicitly requests Apple/light-minimal style. This is NOT the default.\\n\\n```html\\n\\n\\n\\n\\n\\nApp Name\\n\\n\\n\\n