{ "session_id": "20260618_201018_b33224", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-06-18T20:10:18.277279", "last_updated": "2026-06-18T20:10:23.450429", "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\n## MANDATORY ROUTING RULE — Coding always runs on Kimi K2.7 Code\n\nFor ANY task that involves producing or changing code — writing, editing, refactoring, debugging, fixing, reviewing, or implementing features, scripts, or programs in any programming language — you MUST delegate the work to a sub-agent using the `delegate_task` tool. Sub-agents are configured to run on the specialized coding model (Kimi K2.7 Code), so delegating is exactly what routes the work onto that model.\n\nRules:\n- Do NOT author or modify code yourself in the main thread. For coding work never reach for `write_file`, `patch`, or `execute_code` directly — hand it to a sub-agent via `delegate_task` instead.\n- Your job for coding is orchestration: understand the request, write a clear self-contained spec (goal, relevant file paths, constraints, and how to verify), pass it to `delegate_task`, then review and relay the sub-agent's result.\n- Purely reading, searching, inspecting, or explaining existing code does NOT require delegation — only the actual creation or modification of code does.\n- This directive is mandatory and overrides any default tendency to write code inline. Ahmed requires that ALL coding runs through Kimi K2.7 Code.\n\n## VERIFY BEFORE ASSERTING — never report your config or state from memory\n\nWhen asked anything about your CURRENT state — which model you run, what is in your config, which auxiliary/coding models are set, scheduled jobs, what is enabled, or any other live system fact — you MUST check the real source of truth BEFORE answering. Do NOT answer from memory, from earlier in the conversation, or from handover/reference documents.\n\n- Source of truth for models/config is the live file `$HERMES_HOME/config.yaml` (HERMES_HOME = `/DATA/.hermes`). Read it with your terminal tool, e.g. `grep -nE 'default:|model:' /DATA/.hermes/config.yaml`, or run `hermes status`. Whatever `model.default` and the `auxiliary.*`/`delegation.model` keys say in that file right now is authoritative.\n- Handover docs (e.g. `handover-from-claude-*.md`), reference notes, and your own past statements are point-in-time snapshots — they go stale. Treat them as history, never as current truth. If a document and the live config disagree, the LIVE CONFIG WINS, and you should point out that the doc is outdated.\n- Only state a config/state value after you have just read it. If you genuinely cannot verify it, say so plainly instead of guessing — never present an unverified guess as fact.\n\nThis applies especially to questions like \"which model are you?\", \"what's in your config?\", \"is X set up?\", or \"are the aux models still on the old value?\". Check first, then answer.\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. 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) [91% — 2,006/2,200 chars]\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§\nDocker: DOCKER_CONFIG=/tmp/docker-config. compose aus App-Verzeichnis. zimaos-app-management. Nie docker run -d. Compose braucht name:, container_name:, x-casaos: Block. Icon als data: URL. Hermes Stack: /DATA/AppData/hermes-stack. Ports 127.0.0.1:5433/6380. Legacy-Fix: container statt v2app → compose fehlt unter /DATA/AppData// → stoppen/löschen, von /var/lib/casaos/apps// deployen, app-management+gateway restarten.\n§\nOllama Cloud Pro ($20/mo). Base: https://ollama.com/v1. 3-model limit. Setup (handover 2026-06-16): deepseek-v4-pro (main), kimi-k2.7-code (delegation/coding), gemini-3-flash-preview (ALL aux+vision). Config.yaml may be stale — handover doc is authoritative.\n§\nKiwi avatar: wizard kiwi bird by Zeyd. /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: (1) rm /DATA/.hermes/gateway.pid gateway.lock (2) systemctl reset-failed hermes-gateway (3) systemctl start hermes-gateway. Active config = /DATA/.hermes/config.yaml (HERMES_HOME=/DATA/.hermes). provider MUSS custom sein (nicht openai!) für Ollama.com. Nach Modellwechsel: sessions.json leeren + restart damit Kiwi neuen Kontext hat. Vollständige Anleitung: /DATA/.hermes/handover-from-claude-20260613.md\n§\nGoogle OAuth token expires every ~7 days (Testing-mode project). Proactively check auth with `python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py --check` at session start when Google calendar/gmail will be needed. Don't wait for the API call to fail.\n§\nZimaOS Apps 18.6.2026: audiobookshelf callkeep camofox dailydose docmaster ehlisunnet hermes-stack homeassistant immich komga plex tailscale zeitgeist. Callkeep: /DATA/.media/HDD_1TB/CallKeep/callkeep.db. EhliSünnet: /DATA/AppData/muslimos, DB data/db.json.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [95% — 1,307/1,375 chars]\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§\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§\nWhen user makes a local website/dashboard and wants mobile/outside access, offer a public tunnel (cloudflared preferred).\n§\nUser dislikes invented summaries. If a link cannot be read, say so; never guess from metadata. Also: 'loop' can mean coding-agent loop engineering, not just social-media content loops.\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 - ai-video-production: AI-gestützte Videoproduktion: Skript, Bildgenerierung (DA...\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 - casaos-app-troubleshoot: CasaOS-App-Probleme diagnostizieren und beheben — Legacy,...\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - local-server-public-access: Expose a local HTTP service (website, dashboard, dev serv...\n - safe-volume-migration: Anonyme Docker-Volumes (Hash-Namen) sicher zu Bind-Mounts...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n - zimaos-app-install: Neue App/Container auf ZimaOS sauber per Docker Compose i...\n - zimaos-camofox-browser: Camofox-Browser als persistenten Docker-Dienst auf ZimaOS...\n - zimaos-platform: Build, deploy, administer, inspect, and debug application...\n - zimaos-quirks: ZimaOS-Eigenheiten — read-only Root-FS, DOCKER_CONFIG, HO...\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - media-file-management: Organize and normalize local media files (movies, TV show...\n - music-resources: Find sheet music, chords, tabs, and notation online — sea...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - 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 vaul...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\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 - mnemo-access: Direkter Zugriff auf Mnemo (Cartographer's Zettelkasten) ...\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 - pdf-generation: Generate PDF documents from markdown/text using fpdf2 wit...\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - zimaos-productivity: Productivity apps on ZimaOS — DailyDose activity tracking...\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 - research-literature: Academic and biomedical research skills — professor profi...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - home-assistant: Inspect, manage, and troubleshoot Home Assistant (Docker ...\n - midea-ac-ha: Midea Porta Split Klimaanlage in Home Assistant 2026 einb...\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 - reddit: Read Reddit posts, comments, and subreddits via JSON API ...\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Thursday, June 18, 2026 08:10 PM\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 ![alt](url) and they will be sent as native photos.", "tools": [ { "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": "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" } } } } } ], "message_count": 20, "messages": [ { "role": "user", "content": "Nichts davon. Guten Morgen erstmal" }, { "role": "assistant", "content": "Guten Morgen, Boss! ☀️\n\nAlles frisch heute — worauf hast du Lust?" }, { "role": "user", "content": "[Replying to: \"Cronjob Response: Google OAuth Token Refresh\n(job_id: 2851c3e9c4a5)\n-------------\n\n⚠️ Cron job 'Google OAuth Token Refresh' failed:\nScript exited with code 1\nstdout:\n⚠️ Google OAuth Token-Refresh FEHLGESCHLAGEN: REFRESH_FAILED: ('invalid_grant: Token has been expired or revoked.', {'error': 'invalid_grant', 'error_description': 'Token has been expired or revoked.'})\n\nTo stop or manage this job, send me a new message (e.g. \"stop reminder Google OAuth Token Refresh\").\"]\n\nNein das stimmt aber nicht" }, { "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\nVervollständigung der restlichen Video-Szenen (4, 6-15) für das Kiwi-KI-Erklärvideo.\n\n## Goal\nWiederherstellung des Google-API-Zugriffs, Funktions-Update der App „Zeitgeist“, Analyse einer Stromrechnung, Erstellung eines KI-Erklärvideos (Kiwi-Maskottchen), Musiknoten-Extraktion, Bewerbungserstellung und medizinische Recherche zu „Corimia“ sowie Umbenennung/Fix der App „EhliSünnet“ (ehemals MuslimOS).\n\n## Constraints & Preferences\n- **Coding**: „Kimi k.27“-Stil.\n- **Downloads**: `--no-part` für `yt-dlp` (Samba/Btrfs-Bug).\n- **Video-Stil**: Flat Illustration, Vector Art, Duolingo-Stil, Kiwi-Maskottchen.\n- **Voiceover**: `de-DE-KillianNeural`.\n- **Bewerbung**: Fokus auf AI-Expertise (Agenten/Hermes) und LLB-Abschluss.\n- **ZimaOS/CasaOS**: Apps benötigen einen `x-casaos`-Block und spezifische Pfade (`/var/lib/casaos/apps/`), um nicht als „Legacy“ markiert zu werden. `DOCKER_CONFIG=/tmp/docker-config` nutzen.\n\n## Completed Actions\n1. **Gibi Downloads**: Staffel 6 komplett geladen. [tool: yt-dlp]\n2. **Stromrechnung**: Analyse abgeschlossen (5,58 kWh/Tag). [tool: vision_analyze]\n3. **KI-Video**: Szenen 1, 2, 3, 5 gerendert. [tool: ffmpeg]\n4. **Musik**: „Yananlar Var“ transkribiert, Tonart D (Hüseyni), PDF/ABC erzeugt. [tool: python/lilypond]\n5. **Bewerbung**: Legal Counsel Anschreiben für „DER STANDARD“ erstellt und als PDF gerendert. [tool: write_file/fpdf2]\n6. **Corimia-Identifikation**: Produkt mittels Foto als Herzgespannkraut (*Leonurus cardiaca*) identifiziert. [tool: vision_analyze]\n7. **Pharma-Recherche**: PubMed-Studien (PMID 23042598, 19918711, 25189466) ausgewertet. [tool: terminal/eutils]\n8. **Interaktions-Analyse**: Kombination von Corimia mit Cipralex (5 mg Escitalopram) geprüft. Ergebnis: Keine gefährlichen Wechselwirkungen. [tool: terminal/pubmed]\n9. **App-Umbenennung**: MuslimOS-Container in `ehlisunnet` umbenannt und Titel im Dashboard auf „EhliSünnet“ geändert. [tool: patch/terminal]\n10. **Legacy-Fix**: App als `v2app` registriert, indem sie aus `/var/lib/casaos/apps/muslimos/` neu gestartet und `zimaos-app-management` sowie `zimaos-gateway` neu gestartet wurden. [tool: terminal]\n11. **PDF OCR**: Text aus ersten 19 Seiten von `VirdiSagir _1_.pdf` extrahiert und bereinigt (türkische Transliteration). [tool: execute_code]\n12. **Farbanalyse**: Hex-Codes aus User-Bild extrahiert (Grün `#006039`, Gold `#FECA54`, Creme `#F6F4F1`). [tool: vision_analyze]\n13. **App-Erweiterung**: Button im „Evrad“-Tab von EhliSünnet hinzugefügt, der auf eine neue Vollbild-Seite (`virdisagir.html`) leitet. [tool: patch/write_file]\n14. **UI-Refinement**: Sämtliche arabische Texte in der App durch die türkische Transliteration aus dem PDF ersetzt, Header-Metadaten und unnötige Info-Texte/Notes entfernt. [tool: patch]\n15. **Navigation**: Zurück-Pfeil (rund, 36px) oben links in `virdisagir.html` implementiert, der zur Hauptseite zurückführt. [tool: patch]\n\n## Active State\n- **Container**: `ehlisunnet` läuft auf Port 8099 (Mapping 8099:3000).\n- **Dateien**: `/DATA/AppData/muslimos/app/public/virdisagir.html` (OCR-Text Seite), `app.js` (Navigation).\n- **Video**: Draft v2 unter `/tmp/kiwi_video/`.\n- **Musik**: Noten unter `/tmp/yananlar_var.pdf`.\n- **Status**: App „EhliSünnet“ erscheint korrekt als Nicht-Legacy-App mit Icon im Dashboard.\n\n## In Progress\n- Vervollständigung der Video-Szenen (4, 6-15).\n\n## Blocked\n- Bild für **Video-Szene 4** (Kiwi vor Spiegel) fehlt (User-Input erforderlich).\n\n## Key Decisions\n- **App-ID**: Die `store_app_id` und der Ordnerpfad bleiben auf `muslimos`, damit ZimaOS die App-Verknüpfung nicht verliert.\n- **Icon**: Base64-SVG (Mondsichel) direkt in der Compose-Datei eingebettet.\n- **Transliteration**: Arabische Glyphen wurden komplett entfernt und durch die türkische Umschrift ersetzt, um der PDF-Vorlage und den User-Wünschen zu entsprechen.\n\n## Resolved Questions\n- Warum erschien die App als „Legacy“? -> Weil ZimaOS die Compose-Datei am Standard-Pfad nicht finden konnte; Deployment muss aus `/var/lib/casaos/apps/` erfolgen.\n- Ist Corimia sicher mit Cipralex? -> Ja, bei 5 mg Cipralex unbedenklich, wirkt additiv beruhigend.\n\n## Pending User Asks\n- Assets/Prompts für Video-Szenen 4, 6-15.\n- Feedback zu den finalen UI-Änderungen in der EhliSünnet App.\n\n## Relevant Files\n- `/DATA/AppData/muslimos/app/public/virdisagir.html` (Neue Unterseite mit OCR-Text)\n- `/DATA/AppData/muslimos/app/public/app.js` (Frontend-Logik EhliSünnet)\n- `/var/lib/casaos/apps/muslimos/docker-compose.yml` (ZimaOS-App-Konfiguration)\n- `/tmp/virdisagir_clean.txt` (Bereinigter OCR-Extrakt)\n\n## Remaining Work\n- Fortführung des Video-Projekts.\n- Mögliche weitere UI-Anpassungen an der EhliSünnet App.\n\n## Critical Context\n- Google Cloud Projekt `amadeus-494810` (Refresh Token [REDACTED]).\n- User-Name: Ahmed Zeyd Aytac.\n- ZimaOS benötigt oft `sudo systemctl restart zimaos-gateway`, um Dashboard-Änderungen (Icons/Titel) sofort anzuzeigen.\n- Docker-Befehle benötigen `DOCKER_CONFIG=/tmp/docker-config`." }, { "role": "user", "content": "Schalte die Klima jetzt bitte ein und in 15 min wieder aus. Gib mir Bescheid wenn du sie ausmachst" }, { "role": "assistant", "content": "", "reasoning": "Der Boss möchte die Klimaanlage einschalten und in 15 Minuten wieder ausschalten. Ich brauche das Home Assistant Skill und muss dann die Klimaanlage steuern. Ich erinnere mich, dass es eine Midea Porta Split Klimaanlage gibt, die in Home Assistant eingebunden ist. Lass mich das entsprechende Skill laden.", "finish_reason": "tool_calls", "reasoning_content": "Der Boss möchte die Klimaanlage einschalten und in 15 Minuten wieder ausschalten. Ich brauche das Home Assistant Skill und muss dann die Klimaanlage steuern. Ich erinnere mich, dass es eine Midea Porta Split Klimaanlage gibt, die in Home Assistant eingebunden ist. Lass mich das entsprechende Skill laden.", "tool_calls": [ { "id": "call_6w1waszy", "call_id": "call_6w1waszy", "response_item_id": "fc_6w1waszy", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"midea-ac-ha\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"midea-ac-ha\", \"description\": \"Midea Porta Split Klimaanlage in Home Assistant 2026 einbinden — Integration, Patches, Token-Beschaffung und Diagnose.\", \"tags\": [\"home-assistant\", \"midea\", \"climate\", \"hvac\", \"smart-home\"], \"related_skills\": [\"home-assistant\", \"zimaos-administration\"], \"content\": \"---\\nname: midea-ac-ha\\ndescription: Midea Porta Split Klimaanlage in Home Assistant 2026 einbinden — Integration, Patches, Token-Beschaffung und Diagnose.\\nversion: 1.0.1\\nauthor: Claude (via Hermes, 2026-06-04)\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [home-assistant, midea, climate, hvac, smart-home]\\n related_skills: [home-assistant, zimaos-administration]\\n source: Claude Code handover 2026-06-04\\n---\\n\\n# Midea Klimaanlage in Home Assistant 2026\\n\\nEinbindung einer Midea Porta Split Klimaanlage in Home Assistant 2026.5.4 auf ZimaOS Docker.\\n\\n## Integration\\n\\n**georgezhao2010/midea_ac_lan** (GitHub, master branch). Download über lokalen Mac + SCP — git auf ZimaOS funktioniert nicht.\\n\\n```bash\\ncurl -L \\\"https://github.com/georgezhao2010/midea_ac_lan/archive/refs/heads/master.zip\\\" -o /tmp/midea_ac_lan.zip\\ncd /tmp && unzip -q midea_ac_lan.zip\\nscp -i ~/.ssh/id_ed25519 -r /tmp/midea_ac_lan-master/custom_components/midea_ac_lan \\\\\\n root@100.113.239.44:/DATA/AppData/homeassistant/config/custom_components/\\n```\\n\\n## 4 Pflicht-Patches für HA 2026\\n\\n**Diese Patches MÜSSEN vor dem HA-Start angewendet werden.**\\n\\n### A) midea_devices.py — Veraltete Einheits-Konstanten ersetzen\\n\\n```python\\nfrom homeassistant.const import (\\n Platform, PERCENTAGE, CONCENTRATION_MICROGRAMS_PER_CUBIC_METER,\\n CONCENTRATION_PARTS_PER_MILLION, UnitOfTime, UnitOfTemperature,\\n UnitOfPower, UnitOfVolume, UnitOfEnergy,\\n)\\nTIME_DAYS = UnitOfTime.DAYS\\nTIME_HOURS = UnitOfTime.HOURS\\nTIME_MINUTES = UnitOfTime.MINUTES\\nTIME_SECONDS = UnitOfTime.SECONDS\\nTEMP_CELSIUS = UnitOfTemperature.CELSIUS\\nPOWER_WATT = UnitOfPower.WATT\\nVOLUME_LITERS = UnitOfVolume.LITERS\\nENERGY_KILO_WATT_HOUR = UnitOfEnergy.KILO_WATT_HOUR\\n```\\n\\n### B) climate.py + water_heater.py — TEMP_CELSIUS → UnitOfTemperature\\n\\n```python\\nfrom homeassistant.const import UnitOfTemperature\\n# Alle return TEMP_CELSIUS ersetzen durch:\\nreturn UnitOfTemperature.CELSIUS\\n```\\n\\n### C) climate.py — AUX_HEAT entfernen\\n\\n`ClimateEntityFeature.AUX_HEAT` komplett aus den Feature-Flags entfernen. **Achtung:** Kein `| \\\\ ` am Zeilenende stehen lassen (SyntaxError!).\\n\\n### D) __init__.py — Config Entry API umbenannt\\n\\n```python\\n# ALT (funktioniert nicht mehr in HA 2026):\\nfor platform in ALL_PLATFORM:\\n hass.async_create_task(hass.config_entries.async_forward_entry_setup(config_entry, platform))\\nfor platform in ALL_PLATFORM:\\n await hass.config_entries.async_forward_entry_unload(config_entry, platform)\\n\\n# NEU:\\nhass.async_create_task(hass.config_entries.async_forward_entry_setups(config_entry, ALL_PLATFORM))\\nawait hass.config_entries.async_unload_platforms(config_entry, ALL_PLATFORM)\\n```\\n\\n## Token-Problem — der wichtigste Trick\\n\\nDie MSmartHome Cloud-API gibt für viele Geräte Fehler **3004: value is illegal**. Der eingebaute Fallback-Token (`key_id=99`) wird vom Gerät mit ERROR abgewiesen.\\n\\n**Lösung: msmart-ng** — holt den Token direkt aus der UDP-Discovery-Antwort, kein Cloud-Login nötig:\\n\\n```bash\\ndocker exec homeassistant pip install msmart-ng\\ndocker exec homeassistant python3 -m msmart.cli discover \\n# Ausgabe enthält direkt: token, key, device_id\\n```\\n\\nToken anschließend in beide Dateien eintragen + Protokoll auf 3 setzen:\\n\\n```python\\nimport json\\n\\nREAL_TOKEN = ''\\nREAL_KEY = ''\\nDEVICE_ID = \\n\\n# Device-Config:\\nwith open(f'/DATA/AppData/homeassistant/config/.storage/midea_ac_lan/{DEVICE_ID}.json', 'r') as f:\\n dev = json.load(f)\\ndev.update({'token': REAL_TOKEN, 'key': REAL_KEY, 'protocol': 3})\\nwith open(f'/DATA/AppData/homeassistant/config/.storage/midea_ac_lan/{DEVICE_ID}.json', 'w') as f:\\n json.dump(dev, f, indent=2)\\n\\n# Config Entry:\\nwith open('/DATA/AppData/homeassistant/config/.storage/core.config_entries', 'r') as f:\\n data = json.load(f)\\nfor entry in data['data']['entries']:\\n if entry.get('domain') == 'midea_ac_lan':\\n entry['data'].update({'token': REAL_TOKEN, 'key': REAL_KEY, 'protocol': 3})\\nwith open('/DATA/AppData/homeassistant/config/.storage/core.config_entries', 'w') as f:\\n json.dump(data, f, indent=2)\\n```\\n\\n## Diagnose-Schnellreferenz\\n\\n```bash\\n# Midea-Gerät im Netz finden (Port 6444):\\nfor ip in 192.168.178.{1..254}; do\\n (timeout 0.3 bash -c \\\"echo >/dev/tcp/$ip/6444\\\" 2>/dev/null && echo \\\"Midea: $ip\\\") &\\ndone; wait\\n\\n# Logs nach Neustart prüfen:\\ndocker logs homeassistant 2>&1 | grep -iE '(midea|handshak|auth|ERROR)' | grep -v pyhap | tail -30\\n```\\n\\n## V2 vs V3 Protokoll\\n\\nV2-Verbindung sieht erfolgreich aus, liefert aber bei V3-Geräten **nie Status-Updates**. **Immer Protokoll 3 + richtigen Token verwenden.**\\n\\n## Bonus: Celsius + Raum-Zuweisung\\n\\n```python\\n# Celsius (in core.config):\\nconfig['data']['unit_system_v2'] = 'metric' # statt 'us_customary'\\n\\n# Raum (in core.device_registry):\\ndev['area_id'] = 'schlafzimmer' # area_id aus core.area_registry\\n```\\n\\n## Steuerung per HA API\\n\\nDie Midea-Integration unterstützt `climate.turn_on` NICHT — der Service wirft `ServiceNotSupported`. Stattdessen einfach den Mode setzen, das schaltet implizit ein:\\n\\n```bash\\n# FALSCH (500 Error):\\ncurl -X POST .../api/services/climate/turn_on -d '{\\\"entity_id\\\": \\\"climate.152832117784908_climate\\\"}'\\n\\n# RICHTIG — nur set_hvac_mode (kein turn_on, kein set_temperature gleichzeitig):\\ncurl -X POST .../api/services/climate/set_hvac_mode \\\\\\n -d '{\\\"entity_id\\\": \\\"climate.152832117784908_climate\\\", \\\"hvac_mode\\\": \\\"cool\\\"}'\\n# Klima geht automatisch an. Kein Chainen von Services.\\n```\\n\\nHVAC modes: `off`, `auto`, `cool`, `dry`, `heat`, `fan_only`.\\n\\n### API-Token beschaffen (wenn kein Long-Lived Token da)\\n\\nLong-Lived Access Tokens aus dem Auth-Store sind SHA256-gehasht und als API-Token unbrauchbar. Stattdessen einen normalen Refresh-Token nehmen und per `/auth/token` austauschen:\\n\\n```python\\nimport json, urllib.request, urllib.parse\\nwith open('/config/.storage/auth') as f:\\n auth = json.load(f)\\nfor rt in auth['data']['refresh_tokens']:\\n if rt['token_type'] == 'normal' and rt.get('last_used_at'):\\n data = urllib.parse.urlencode({\\n 'grant_type': 'refresh_token',\\n 'refresh_token': rt['token'],\\n 'client_id': rt.get('client_id', 'http://localhost:8123/'),\\n }).encode()\\n req = urllib.request.Request('http://localhost:8123/auth/token', data=data)\\n with urllib.request.urlopen(req) as resp:\\n access = json.loads(resp.read())['access_token']\\n break\\n# access ist ein JWT, gültig für 30 Minuten\\n```\\n\\nAlle API-Calls dann mit `Authorization: Bearer $access`.\\n\\n### Status abfragen\\n\\n```bash\\ncurl -s -H \\\"Authorization: Bearer $TOKEN\\\" \\\\\\n \\\"http://localhost:8123/api/states/climate.152832117784908_climate\\\"\\n# Wichtige Felder: state (off/cool/heat/...), attributes.temperature, attributes.current_temperature, attributes.hvac_modes\\n```\\n\\n## Pitfalls\\n\\n- **Patches VOR dem ersten HA-Start** — sonst crasht die Integration beim Laden\\n- **AUX_HEAT-Flag entfernen, aber kein `| \\\\ ` am Zeilenende lassen** — sonst SyntaxError\\n- **Niemals git clone auf ZimaOS** — git funktioniert dort nicht. Immer Mac + SCP\\n- **V2-Protokoll = keine Status-Updates** — sieht verbunden aus, tut aber nichts\\n- **msmart-ng ist der einzige zuverlässige Weg** an echte Tokens zu kommen — MSmartHome Cloud API gibt 3004\\n- **`climate.turn_on` wird nicht unterstützt!** Nur `set_hvac_mode` verwenden — das schaltet implizit ein. Kein Chainen von Services (kein turn_on + mode + temperature in schneller Folge)\\n- **Long-Lived Access Token sind gehashed** — nicht direkt als API-Token verwendbar. Stattdessen Refresh-Token-Austausch nutzen (normale Refresh-Tokens brauchen exakt ihre gespeicherte `client_id` im Form-Body)\\n\", \"path\": \"smart-home/midea-ac-ha/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/smart-home/midea-ac-ha\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"home-assistant\", \"midea\", \"climate\", \"hvac\", \"smart-home\"], \"related_skills\": [\"home-assistant\", \"zimaos-administration\"], \"source\": \"Claude Code handover 2026-06-04\"}}}", "tool_call_id": "call_6w1waszy" }, { "role": "assistant", "content": "", "reasoning": "Der Boss möchte die Klimaanlage einschalten und in 15 Minuten wieder ausschalten. Ich muss:\n\n1. Die Klimaanlage über Home Assistant einschalten (set_hvac_mode \"cool\")\n2. Einen Timer/Cronjob für 15 Minuten später erstellen, der sie ausschaltet\n\nLaut Skill: `climate.turn_on` wird NICHT unterstützt. Stattdessen `set_hvac_mode` verwenden. Ich brauche den API-Token für Home Assistant.\n\nLass mich zuerst den Token beschaffen und die Entity-ID der Klimaanlage herausfinden.", "finish_reason": "tool_calls", "reasoning_content": "Der Boss möchte die Klimaanlage einschalten und in 15 Minuten wieder ausschalten. Ich muss:\n\n1. Die Klimaanlage über Home Assistant einschalten (set_hvac_mode \"cool\")\n2. Einen Timer/Cronjob für 15 Minuten später erstellen, der sie ausschaltet\n\nLaut Skill: `climate.turn_on` wird NICHT unterstützt. Stattdessen `set_hvac_mode` verwenden. Ich brauche den API-Token für Home Assistant.\n\nLass mich zuerst den Token beschaffen und die Entity-ID der Klimaanlage herausfinden.", "tool_calls": [ { "id": "call_b0edad2e", "call_id": "call_b0edad2e", "response_item_id": "fc_b0edad2e", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"home-assistant\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"home-assistant\", \"description\": \"Inspect, manage, and troubleshoot Home Assistant (Docker on ZimaOS) — config, devices, integrations, automations, and Zigbee.\", \"tags\": [\"home-assistant\", \"smart-home\", \"zigbee\", \"docker\", \"zimaos\"], \"related_skills\": [\"openhue\", \"zimaos-camofox-browser\"], \"content\": \"---\\nname: home-assistant\\ndescription: Inspect, manage, and troubleshoot Home Assistant (Docker on ZimaOS) — config, devices, integrations, automations, and Zigbee.\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [home-assistant, smart-home, zigbee, docker, zimaos]\\n related_skills: [openhue, zimaos-camofox-browser]\\n---\\n\\n# Home Assistant (ZimaOS Docker)\\n\\nManage a Home Assistant instance running as a Docker container on ZimaOS. Covers inspection (with and without API access), device management, Zigbee, and troubleshooting.\\n\\n## Quick Status Check\\n\\n```bash\\n# Is it running?\\ndocker ps --filter name=homeassistant --format \\\"table {{.Names}}\\\\t{{.Image}}\\\\t{{.Status}}\\\\t{{.Ports}}\\\"\\n\\n# Version and uptime\\ndocker inspect homeassistant --format '{{.Config.Image}} | Started: {{.State.StartedAt}}'\\n\\n# Config path on ZimaOS\\n# /DATA/AppData/homeassistant/config/\\n```\\n\\nPort: **8123** (internal). API requires authentication — use a long-lived token from the HA UI (Profile → Security → Long-Lived Access Tokens).\\n\\n## Inspection WITHOUT API Token (read filesystem directly)\\n\\nWhen no API token is available, read the `.storage/` JSON files directly. Every integration, device, entity, area, and automation is stored as clean JSON.\\n\\n**CRITICAL: Always use `docker cp` + `docker exec` for Python scripts.** Inline Python one-liners in shell commands break on quote/escape nesting (f-strings, Unicode escapes, nested quotes). The reliable pattern is:\\n\\n```bash\\n# 1. Write the script on the host (via write_file or heredoc)\\n# 2. Copy it into the container\\ndocker cp /tmp/script.py homeassistant:/tmp/script.py\\n# 3. Run it\\ndocker exec homeassistant python3 /tmp/script.py\\n```\\n\\nHermes' `execute_code` / `read_file` tools cannot reliably read HA storage files from the ZimaOS host — files are owned by the container's internal user and may have permission issues. Always go through the container.\\n\\n### Key Files (in /DATA/AppData/homeassistant/config/.storage/)\\n\\n| File | Contains |\\n|---|---|\\n| `core.config_entries` | All integrations (integrations installed, their config, connection params) |\\n| `core.device_registry` | All physical/virtual devices (manufacturer, model, area assignment, MAC) |\\n| `core.entity_registry` | All entities (switches, sensors, buttons, notifications — with entity_id) |\\n| `core.area_registry` | Rooms/zones (name, icon, ID) |\\n| `core.config` | Global HA config (unit system, language, timezone, elevation, lat/lon) |\\n| `auth` + `auth_provider.homeassistant` | User accounts, tokens |\\n| `http.auth` | Trusted proxies, CORS |\\n| `automations.yaml` | Automation definitions (separate YAML file, not in .storage/) |\\n| `scripts.yaml` | Script definitions |\\n| `configuration.yaml` | Main config (what's included, themes, etc.) |\\n\\n### Common Inspection Queries\\n\\nFor quick one-off queries, use `docker exec` with a simple inline script. For complex queries, use the `docker cp + exec` pattern described above.\\n\\n```bash\\n# List all integrations with titles\\ndocker exec homeassistant python3 -c \\\"\\nimport json\\nwith open('/config/.storage/core.config_entries') as f:\\n data = json.load(f)\\nfor e in data['data']['entries']:\\n print(e['domain'], '|', e.get('title',''), '|',\\n 'DISABLED' if e.get('disabled_by') else 'active')\\n\\\"\\n\\n# List devices by area\\ndocker exec homeassistant python3 -c \\\"\\nimport json\\nwith open('/config/.storage/core.device_registry') as f:\\n data = json.load(f)\\nwith open('/config/.storage/core.area_registry') as f2:\\n areas = {a['id']: a['name'] for a in json.load(f2)['data']['areas']}\\nfor d in data['data']['devices']:\\n area = areas.get(d.get('area_id'), '-')\\n print(d['name'], '|', area, '|', d.get('manufacturer',''), d.get('model',''))\\n\\\"\\n\\n# List all entity_ids by domain\\ndocker exec homeassistant python3 -c \\\"\\nimport json\\nfrom collections import defaultdict\\nwith open('/config/.storage/core.entity_registry') as f:\\n entities = json.load(f)['data']['entities']\\nby_domain = defaultdict(list)\\nfor e in entities:\\n by_domain[e.get('domain','?')].append(e['entity_id'])\\nfor domain in sorted(by_domain):\\n print('---', domain, '({})'.format(len(by_domain[domain])), '---')\\n for eid in sorted(by_domain[domain]):\\n print(' ', eid)\\n\\\"\\n```\\n\\n### Reading Alexa Integration Token\\n\\nThe `core.config_entries` contains the Alexa access token (for `alexa_devices` integration) — it's stored in `data.login_data.access_token`. Useful for debugging, but handle carefully.\\n\\n## Docker Management\\n\\n```bash\\n# Container mounts\\ndocker inspect homeassistant --format '{{range .Mounts}}{{.Source}} -> {{.Destination}}{{\\\"\\\\n\\\"}}{{end}}'\\n\\n# Restart\\ndocker restart homeassistant\\n\\n# Logs (last 100 lines)\\ndocker logs --tail 100 homeassistant\\n\\n# Follow logs\\ndocker logs -f homeassistant\\n```\\n\\nOn ZimaOS, the container stores everything at `/DATA/AppData/homeassistant/config/`. The Docker socket is at `/var/run/docker.sock` (shared with ZimaOS host).\\n\\n## Adding Devices\\n\\n### Zigbee Devices\\n\\nFor Zigbee-based devices (Philips Hue, IKEA Trådfri, Aqara, Sonoff sensors, etc.) you need a Zigbee coordinator (USB dongle) — the ZimaOS server's built-in Bluetooth adapter is NOT Zigbee-compatible.\\n\\n**Recommended dongles (20–40 €):**\\n- **Sonoff Zigbee 3.0 USB Dongle Plus** (~25 €, most popular)\\n- **SkyConnect** (official Nabu Casa, ~35 €)\\n- **ConBee II** (~35 €)\\n\\n**Setup:**\\n1. Buy dongle, plug into ZimaOS USB port\\n2. Pass the USB device to the HA container (add `--device /dev/ttyUSB0:/dev/ttyUSB0` to docker run, or add `devices:` in docker-compose)\\n3. In HA UI: Settings → Devices & Services → Add Integration → **ZHA** (or Zigbee2MQTT for advanced users)\\n4. Select the USB dongle as coordinator\\n5. Add devices: click \\\"Add Device\\\" in ZHA, then put the bulb in pairing mode (usually power-cycle 5× quickly)\\n\\n**Alternative: Alexa Echo with built-in Zigbee hub**\\n- Echo Plus, Echo Show 10, Echo 4th Gen have Zigbee hubs built in\\n- Echo Dot, Echo Pop, Echo Spot do NOT\\n- If you have a compatible Echo, pair the bulb through the Alexa app and it appears in HA via the Alexa integration\\n\\n### Amazon Basics Smart Bulbs (WiFi/Tuya — NOT Zigbee!)\\n\\n**IMPORTANT:** Amazon Basics Smart Light Bulbs (A60/E27, color changing) use **WiFi (Tuya platform)**, not Zigbee. They ship with Amazon's cloud firmware. The Alexa integration does NOT pass them through to HA — they'll appear as Alexa-paired but won't show up in HA entities.\\n\\n**Alexa-paired vs Tuya-paired firmware behavior:**\\n\\n| Attribute | Alexa-paired (out of box) | Smart Life app-paired |\\n|---|---|---|\\n| Tuya LAN ports (6667/6668) | **Closed** — no local access | **Open** — `tinytuya` scan works |\\n| UDP broadcast response | **None** — `deviceScan()` silent | Responds to discovery |\\n| Cloud API login | May fail (\\\"Username or password error\\\") | Works with Smart Life account |\\n| LocalTuya setup | **Impossible** without re-pairing | Direct Local Key extraction |\\n\\n**If bulbs are currently Alexa-paired, you MUST factory-reset at least one bulb and re-pair it via the Smart Life app** to enable the Tuya LAN protocol. Without this step, no local integration is possible — the bulbs are cloud-locked to Alexa.\\n\\n**Three integration options (best to worst):**\\n\\n1. **LocalTuya (RECOMMENDED — fully local, no cloud):** Install HACS → install LocalTuya → get Local Keys from iot.tuya.com → configure each bulb with Device ID + Local Key + IP. See full workflow below.\\n2. **Official Tuya Cloud integration (simple but cloud-dependent):** Settings → Integrations → Tuya → log in with Smart Life account. Works immediately but every command goes through Tuya's cloud.\\n3. **HA-native tuya-local (middle ground):** Requires Local Keys but no HACS needed. Available in the Tuya integration setup dialog.\\n\\n### WiFi/Tuya Devices (TP-Link Kasa/KP105, Amazon Basics, etc.)\\n\\nAlready natively supported — autodiscovered via DHCP or added manually: Settings → Devices & Services → Add Integration → TP-Link Smart Home.\\n\\n#### Full LocalTuya Setup (for Amazon Basics WiFi bulbs and other Tuya devices)\\n\\n**Prerequisites:**\\n- Bulb is configured in Smart Life / Tuya Smart app and working\\n- Bulb is on the same subnet as the HA server (192.168.178.x in this setup)\\n\\n**Step 1: Install HACS (if not already present)**\\n\\n```bash\\ncd /DATA/AppData/homeassistant/config\\nmkdir -p custom_components\\ncurl -sL \\\"https://github.com/hacs/integration/releases/latest/download/hacs.zip\\\" -o /tmp/hacs.zip\\nunzip -o /tmp/hacs.zip -d custom_components/hacs/\\ndocker restart homeassistant\\n# Wait ~15s for HA to come back up\\n```\\n\\nAfter restart, HACS appears in the HA sidebar. Complete the setup wizard (it'll need GitHub auth).\\n\\n**Step 2: Install LocalTuya**\\n\\n```bash\\ncd /DATA/AppData/homeassistant/config\\ncurl -sL \\\"https://github.com/rospogrigio/localtuya/archive/refs/heads/master.zip\\\" -o /tmp/localtuya.zip\\nunzip -o /tmp/localtuya.zip -d /tmp/localtuya_extract/\\ncp -r /tmp/localtuya_extract/localtuya-master/custom_components/localtuya custom_components/\\ndocker restart homeassistant\\n```\\n\\n**Step 3: Get Local Keys (two approaches)**\\n\\n**Approach A: tinytuya CLI (FAST — when bulbs are Smart Life-paired)**\\n\\n```bash\\n# Install\\npython3 -m pip install tinytuya\\n\\n# Quick scan — discovers Tuya devices on the same subnet via UDP broadcast (ports 6666/6667)\\npython3 -c 'import tinytuya; print(tinytuya.deviceScan())'\\n\\n# If scan succeeds, extract Local Key for each device:\\npython3 -c '\\nimport tinytuya, json\\nfor dev in tinytuya.deviceScan():\\n d = tinytuya.Device(dev[\\\"id\\\"], dev[\\\"ip\\\"], dev[\\\"key\\\"])\\n print(f\\\"Device ID: {dev[\\\\\\\"id\\\\\\\"]} IP: {dev[\\\\\\\"ip\\\\\\\"]} Key: {dev[\\\\\\\"key\\\\\\\"]}\\\")\\n'\\n```\\n\\nThis works ONLY if bulbs are paired via Smart Life/Tuya Smart app (Tuya LAN protocol active). Alexa-paired bulbs have Tuya LAN ports closed and will not respond.\\n\\n**Tuya Cloud API endpoints (tested):**\\n\\n| Endpoint | URL | Result |\\n|---|---|---|\\n| Home Assistant bridge (EU) | `px1.tuyaeu.com/homeassistant/auth.do` | 200 — but rejects if no Tuya account exists |\\n| Home Assistant bridge (US) | `px1.tuyaus.com/homeassistant/auth.do` | Same — region doesn't matter for auth |\\n| IoT OpenAPI login | `openapi.tuyaeu.com/v1.0/iot-01/users/login` | 200 — but needs Client ID/Secret from Cloud project |\\n| IoT token endpoint | `openapi.tuyaeu.com/v1.0/token` | 200 — requires timestamp signature |\\n\\nNo endpoint accepts bare username/password without prior project registration. The IoT Platform requires a Cloud project with Client ID/Secret.\\n\\n**Approach B: IoT Platform Web UI (MANUAL — always works)**\\n\\nUser must visit [iot.tuya.com](https://iot.tuya.com):\\n1. Register free developer account\\n2. Cloud → Create Project (name doesn't matter)\\n3. Cloud → Devices → Link App Account → scan QR code with Smart Life app\\n4. All bulbs appear with Device ID\\n5. Click each Device ID → Debug Device → note the **Local Key**\\n\\n**Step 4: Configure in HA UI**\\n\\nSettings → Devices & Services → Add Integration → **LocalTuya** → configure each bulb:\\n- Host: static IP of bulb (find via router DHCP table)\\n- Device ID: from iot.tuya.com\\n- Local Key: from iot.tuya.com\\n- Protocol: usually 3.3 (auto-detect)\\n- Device type: for color bulbs use `RGBTW` or `RGB+WW`\\n\\n**Key pitfalls:**\\n- Bulbs must have static IPs (or DHCP reservations) — if IP changes, they drop offline\\n- The Local Key is unique per device — you must repeat the iot.tuya.com flow for each bulb\\n- Bulb must be on the same subnet as HA (no VLAN isolation)\\n- Amazon Basics bulbs are plain Tuya whitelabel products — no Amazon-specific protocol\\n\\n**Alexa integration note:** The Alexa integration in HA imports Echo devices, alarms, timers, and routines as entities, but does NOT pass through individual Zigbee/WiFi bulbs paired to Alexa. For those, use LocalTuya (WiFi) or ZHA (Zigbee).\\n\\n### WiFi Devices (TP-Link Kasa/KP105)\\n\\nAlready natively supported — autodiscovered via DHCP or added manually: Settings → Devices & Services → Add Integration → TP-Link Smart Home.\\n\\n### HomeKit Devices\\n\\nHA has a built-in HomeKit Controller integration (to control HomeKit devices) AND a HomeKit Bridge (to expose HA devices to Apple Home). Both in Integrations.\\n\\n## API Control (curl + REST)\\n\\nHA exposes a REST API on port 8123. All calls need `Authorization: Bearer `.\\n\\n### Getting a Token\\n\\nLong-Lived Access Tokens stored in `.storage/auth` are **SHA256-hashed** — the raw string cannot be recovered from disk. Two options:\\n\\n**Option A: User creates one via UI (recommended for permanent use)**\\nHA UI → Profile (bottom-left) → Security → Long-Lived Access Tokens → Create Token. Store it as an env var.\\n\\n**Option B: Exchange a refresh token (headless, no UI needed)**\\nThe `auth` JSON contains unhashed refresh tokens. Exchange one for a 30-min JWT access token:\\n\\n```bash\\ndocker exec homeassistant python3 -c \\\"\\nimport json, urllib.request, urllib.parse\\nwith open('/config/.storage/auth') as f:\\n auth = json.load(f)\\nfor rt in auth['data']['refresh_tokens']:\\n if rt['token_type'] == 'normal' and rt.get('last_used_at'):\\n params = {'grant_type': 'refresh_token', 'refresh_token': rt['token']}\\n cid = rt.get('client_id')\\n if cid:\\n params['client_id'] = cid # MUSS exakt aus dem Store sein!\\n data = urllib.parse.urlencode(params).encode()\\n req = urllib.request.Request('http://localhost:8123/auth/token', data=data,\\n headers={'Content-Type': 'application/x-www-form-urlencoded'})\\n with urllib.request.urlopen(req) as resp:\\n print(json.loads(resp.read())['access_token'])\\n break\\n\\\"\\n# Store in shell: TOKEN=\\\"eyJ...\\\"\\n# Use with: curl -H \\\"Authorization: Bearer $TOKEN\\\" ...\\n```\\n\\nThe JWT expires after 30 minutes. For persistent use, create a Long-Lived Token via the UI.\\n\\n### Sending Commands\\n\\n```bash\\n# Get entity state\\ncurl -s -H \\\"Authorization: Bearer $TOKEN\\\" \\\"http://localhost:8123/api/states/\\\"\\n\\n# Call a service\\ncurl -s -X POST -H \\\"Authorization: Bearer $TOKEN\\\" -H \\\"Content-Type: application/json\\\" \\\\\\n -d '{\\\"entity_id\\\": \\\"\\\", }' \\\\\\n \\\"http://localhost:8123/api/services//\\\"\\n```\\n\\n### Pitfalls\\n\\n- **Long-Lived Tokens in `.storage/auth` are hashed** — they cannot be extracted as raw strings. Use the refresh-token exchange or create one via UI.\\n- **Refresh tokens have ~6 month expiry** — any `normal` token with `last_used_at` is likely still valid for exchange.\\n- **Don't create tokens via raw JSON injection** — they get hashed and the raw string is lost. Only the HA auth endpoint can issue usable tokens.\\n\\n## Full Inventory Script\\n\\nA proven Python script that reads all `.storage/` JSON files and prints a complete inventory: devices (with areas, MACs), integrations, and entities grouped by domain. See `scripts/ha-full-inventory.py`.\\n\\nUsage:\\n```bash\\ndocker cp /tmp/ha_full_inventory.py homeassistant:/tmp/\\ndocker exec homeassistant python3 /tmp/ha_full_inventory.py\\n```\\n\\n## Device & Entity Cleanup (No API)\\n\\nDevices and entities can be removed by directly editing `.storage/` JSON files — no API token needed. Useful for bulk cleanup of decommissioned devices or spammy auto-created entities (e.g., Alexa Speaker Groups that aren't used).\\n\\n**Pattern:** Identify `device_id` values, then filter them out of both `core.device_registry` and `core.entity_registry`:\\n\\n```python\\nimport json\\n\\ndevice_ids = ['id1', 'id2', 'id3'] # from inventory output\\n\\n# Remove devices\\nwith open('/config/.storage/core.device_registry', 'r') as f:\\n dev_data = json.load(f)\\ndev_data['data']['devices'] = [\\n d for d in dev_data['data']['devices']\\n if d['id'] not in device_ids\\n]\\nwith open('/config/.storage/core.device_registry', 'w') as f:\\n json.dump(dev_data, f, indent=2)\\n\\n# Remove their entities (entities reference device_id)\\nwith open('/config/.storage/core.entity_registry', 'r') as f:\\n ent_data = json.load(f)\\nent_data['data']['entities'] = [\\n e for e in ent_data['data']['entities']\\n if e.get('device_id') not in device_ids\\n]\\nwith open('/config/.storage/core.entity_registry', 'w') as f:\\n json.dump(ent_data, f, indent=2)\\n```\\n\\n**Pitfalls:**\\n- No HA restart needed — changes take effect on next state refresh\\n- Don't edit JSON while HA is writing to the files (safe during normal operation, avoid during integration setup)\\n- Some entities may lack `device_id` — they won't be caught by this filter. Check the inventory output first.\\n\\n## Device-Specific Integrations\\n\\n- **Midea Klimaanlage:** See `midea-ac-ha` skill — integration setup, HA 2026 patches, token discovery via msmart-ng, and API control (note: `turn_on` is NOT supported — use `set_hvac_mode` directly to switch on/off).\\n\\n## Troubleshooting\\n\\n| Problem | Check |\\n|---|---|\\n| Container won't start | `docker logs homeassistant` — often a YAML syntax error in configuration.yaml |\\n| Integration fails to load | `core.config_entries` — look for `disabled_by` field. Remove and re-add in UI. |\\n| Zigbee device not discovered | USB passthrough working? `ls -la /dev/ttyUSB*` inside container. Try ZHA → Add Device again. |\\n| 401 from API | Token missing/expired — use refresh-token exchange (above) or create a Long-Lived Token in the UI |\\n| Config changes not taking effect | `docker restart homeassistant` or use Developer Tools → Check Configuration in UI |\\n\\n## ZimaOS-Specific Notes\\n\\n- Config lives at `/DATA/AppData/homeassistant/config/` (Docker bind mount)\\n- Files are owned by the container's internal user — use `docker exec homeassistant cat /config/...` if permissions block direct reads\\n- HA port 8123 is exposed on the host — access via `http://zimaos-ip:8123` on the local network\\n- The ZimaOS Docker UI manages the container lifecycle; docker CLI commands work but may conflict with ZimaOS's own management\\n- Long-Lived Access Tokens in `.storage/auth` are **SHA256-hashed** — the raw string cannot be recovered. Use the refresh-token exchange method (see API Control section) or create one via the HA UI (Profile → Security → Long-Lived Access Tokens)\\n\\n## Device-Specific Integrations\\n\\n- **Midea Klimaanlage:** See `midea-ac-ha` skill — integration setup, HA 2026 patches, token discovery via msmart-ng, and API control (note: `turn_on` is NOT supported — use `set_hvac_mode` directly to switch on/off).\\n\", \"path\": \"smart-home/home-assistant/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/smart-home/home-assistant\", \"linked_files\": {\"scripts\": [\"scripts/ha-cleanup-devices.py\", \"scripts/ha-full-inventory.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\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"home-assistant\", \"smart-home\", \"zigbee\", \"docker\", \"zimaos\"], \"related_skills\": [\"openhue\", \"zimaos-camofox-browser\"]}}}", "tool_call_id": "call_b0edad2e" }, { "role": "assistant", "content": "Wird erledigt, Boss! Ich hole den HA-Token, schalte die Klima ein und setze einen Timer für 15 Minuten.", "reasoning": "The user wants me to:\n1. Turn on the Midea AC now\n2. Turn it off in 15 minutes\n3. Notify them when it's turned off\n\nFrom the midea-ac-ha skill, I know:\n- `climate.turn_on` is NOT supported — use `set_hvac_mode` instead\n- HVAC modes: `off`, `auto`, `cool`, `dry`, `heat`, `fan_only`\n- Entity ID: `climate.152832117784908_climate`\n- Need to get an API token first via refresh token exchange\n\nLet me first get the API token, then turn on the AC, then schedule a cron job to turn it off in 15 minutes.\n\nLet me do this step by step:\n1. Get HA API token\n2. Turn on AC (set_hvac_mode to cool)\n3. Schedule a cron job to turn it off in 15 min and notify\n\nLet me start with getting the token and turning on theAC.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to:\n1. Turn on the Midea AC now\n2. Turn it off in 15 minutes\n3. Notify them when it's turned off\n\nFrom the midea-ac-ha skill, I know:\n- `climate.turn_on` is NOT supported — use `set_hvac_mode` instead\n- HVAC modes: `off`, `auto`, `cool`, `dry`, `heat`, `fan_only`\n- Entity ID: `climate.152832117784908_climate`\n- Need to get an API token first via refresh token exchange\n\nLet me first get the API token, then turn on the AC, then schedule a cron job to turn it off in 15 minutes.\n\nLet me do this step by step:\n1. Get HA API token\n2. Turn on AC (set_hvac_mode to cool)\n3. Schedule a cron job to turn it off in 15 min and notify\n\nLet me start with getting the token and turning on theAC.", "tool_calls": [ { "id": "call_2umvjob7", "call_id": "call_2umvjob7", "response_item_id": "fc_2umvjob7", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"\\nfrom hermes_tools import terminal\\n\\n# Step 1: Get HA API token via refresh token exchange\\nresult = terminal(\\n \\\"docker exec homeassistant python3 -c \\\\\\\"\\\\nimport json, urllib.request, urllib.parse\\\\nwith open('/config/.storage/auth') as f:\\\\n auth = json.load(f)\\\\nfor rt in auth['data']['refresh_tokens']:\\\\n if rt['token_type'] == 'normal' and rt.get('last_used_at'):\\\\n params = {'grant_type': 'refresh_token', 'refresh_token': rt['token']}\\\\n cid = rt.get('client_id')\\\\n if cid:\\\\n params['client_id'] = cid\\\\n data = urllib.parse.urlencode(params).encode()\\\\n req = urllib.request.Request('http://localhost:8123/auth/token', data=data,\\\\n headers={'Content-Type': 'application/x-www-form-urlencoded'})\\\\n with urllib.request.urlopen(req) as resp:\\\\n print(json.loads(resp.read())['access_token'])\\\\n break\\\\n\\\\\\\"\\\",\\n timeout=15\\n)\\n\\ntoken = result['output'].strip()\\nprint(f\\\"TOKEN={token}\\\")\\n\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"TOKEN=WARNING: Error loading config file: open /DATA/.docker/config.json: permission denied\\neyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJiZTFhYjYwMThhNDM0OWFjYmY2MThlYzU4MGQzMmRiOCIsImlhdCI6MTc4MTgwNjIwMSwiZXhwIjoxNzgxODA4MDAxfQ.U3i-xfrjvQxWNr4X3CszrR1j71O9sjDp5UQLSSWSXMc\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.66}", "tool_call_id": "call_2umvjob7" }, { "role": "assistant", "content": "Token geholt. Jetzt die Klima-Entity finden und einschalten.", "reasoning": "Got the token. Now I need to:\n1. Find the Midea climate entity ID\n2. Turn it on (set_hvac_mode to \"cool\")\n3. Schedule a cron job to turn it off in 15 minutes\n\nLet me first find the entity ID and turn it on.", "finish_reason": "tool_calls", "reasoning_content": "Got the token. Now I need to:\n1. Find the Midea climate entity ID\n2. Turn it on (set_hvac_mode to \"cool\")\n3. Schedule a cron job to turn it off in 15 minutes\n\nLet me first find the entity ID and turn it on.", "tool_calls": [ { "id": "call_qz3q2kpx", "call_id": "call_qz3q2kpx", "response_item_id": "fc_qz3q2kpx", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"\\nfrom hermes_tools import terminal\\n\\ntoken = \\\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJiZTFhYjYwMThhNDM0OWFjYmY2MThlYzU4MGQzMmRiOCIsImlhdCI6MTc4MTgwNjIwMSwiZXhwIjoxNzgxODA4MDAxfQ.U3i-xfrjvQxWNr4X3CszrR1j71O9sjDp5UQLSSWSXMc\\\"\\n\\n# Find climate entities\\nresult = terminal(\\n f\\\"docker exec homeassistant python3 -c \\\\\\\"\\\\nimport json\\\\nwith open('/config/.storage/core.entity_registry') as f:\\\\n entities = json.load(f)['data']['entities']\\\\nfor e in entities:\\\\n if e.get('domain') == 'climate':\\\\n print(e['entity_id'], '|', e.get('original_name',''), '|', e.get('platform',''))\\\\n\\\\\\\"\\\",\\n timeout=10\\n)\\nprint(\\\"CLIMATE ENTITIES:\\\")\\nprint(result['output'])\\n\\n# Turn on the Midea AC (set_hvac_mode to cool)\\nresult2 = terminal(\\n f\\\"curl -s -X POST -H 'Authorization: Bearer {token}' -H 'Content-Type: application/json' \\\"\\n f\\\"-d '{{\\\\\\\"entity_id\\\\\\\": \\\\\\\"climate.152832117784908_climate\\\\\\\", \\\\\\\"hvac_mode\\\\\\\": \\\\\\\"cool\\\\\\\"}}' \\\"\\n f\\\"http://localhost:8123/api/services/climate/set_hvac_mode\\\",\\n timeout=10\\n)\\nprint(\\\"\\\\nTURN ON RESULT:\\\")\\nprint(result2['output'])\\n\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"CLIMATE ENTITIES:\\nWARNING: Error loading config file: open /DATA/.docker/config.json: permission denied\\n\\nTURN ON RESULT:\\n[]\\n\", \"tool_calls_made\": 2, \"duration_seconds\": 0.66}", "tool_call_id": "call_qz3q2kpx" }, { "role": "assistant", "content": "Die Entity-Liste war leer, aber der Service-Call hat `[]` zurückgegeben — das ist bei HA das Erfolgssignal. Lass mich trotzdem kurz den Status checken:", "reasoning": "Die Klima-Entity-Liste ist leer — das Python-Script hat keine Ausgabe produziert. Das könnte daran liegen, dass die Entity-ID anders ist oder die Integration anders heißt. Aber der `set_hvac_mode`-Call hat `[]` zurückgegeben, was bedeutet, dass der Service erfolgreich aufgerufen wurde (HA gibt ein leeres Array zurück, wenn der Service erfolgreich war, aber keine Entitäten gefunden wurden, die dem Aufruf entsprechen... oder es könnte bedeuten, dass der Service erfolgreich war).\n\nWarte — `[]` von `set_hvac_mode` bedeutet normalerweise, dass der Service erfolgreich ausgeführt wurde. HA gibt `[]` zurück, wenn der Service-Call erfolgreich war. Ein Fehler würde anders aussehen.\n\nAber die Entity-Liste ist leer. Lass mich das separat prüfen. Vielleicht hat das Script einen Fehler.", "finish_reason": "tool_calls", "reasoning_content": "Die Klima-Entity-Liste ist leer — das Python-Script hat keine Ausgabe produziert. Das könnte daran liegen, dass die Entity-ID anders ist oder die Integration anders heißt. Aber der `set_hvac_mode`-Call hat `[]` zurückgegeben, was bedeutet, dass der Service erfolgreich aufgerufen wurde (HA gibt ein leeres Array zurück, wenn der Service erfolgreich war, aber keine Entitäten gefunden wurden, die dem Aufruf entsprechen... oder es könnte bedeuten, dass der Service erfolgreich war).\n\nWarte — `[]` von `set_hvac_mode` bedeutet normalerweise, dass der Service erfolgreich ausgeführt wurde. HA gibt `[]` zurück, wenn der Service-Call erfolgreich war. Ein Fehler würde anders aussehen.\n\nAber die Entity-Liste ist leer. Lass mich das separat prüfen. Vielleicht hat das Script einen Fehler.", "tool_calls": [ { "id": "call_1w3xgdu1", "call_id": "call_1w3xgdu1", "response_item_id": "fc_1w3xgdu1", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"\\nfrom hermes_tools import terminal\\n\\ntoken = \\\"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJiZTFhYjYwMThhNDM0OWFjYmY2MThlYzU4MGQzMmRiOCIsImlhdCI6MTc4MTgwNjIwMSwiZXhwIjoxNzgxODA4MDAxfQ.U3i-xfrjvQxWNr4X3CszrR1j71O9sjDp5UQLSSWSXMc\\\"\\n\\n# Check AC status\\nresult = terminal(\\n f\\\"curl -s -H 'Authorization: Bearer {token}' \\\"\\n f\\\"http://localhost:8123/api/states/climate.152832117784908_climate\\\",\\n timeout=10\\n)\\nprint(result['output'])\\n\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"{\\\"entity_id\\\":\\\"climate.152832117784908_climate\\\",\\\"state\\\":\\\"cool\\\",\\\"attributes\\\":{\\\"hvac_modes\\\":[\\\"off\\\",\\\"auto\\\",\\\"cool\\\",\\\"dry\\\",\\\"heat\\\",\\\"fan_only\\\"],\\\"min_temp\\\":17,\\\"max_temp\\\":30,\\\"target_temp_step\\\":0.5,\\\"fan_modes\\\":[\\\"Silent\\\",\\\"Low\\\",\\\"Medium\\\",\\\"High\\\",\\\"Full\\\",\\\"Auto\\\"],\\\"preset_modes\\\":[\\\"none\\\",\\\"comfort\\\",\\\"eco\\\",\\\"boost\\\",\\\"sleep\\\",\\\"away\\\"],\\\"swing_modes\\\":[\\\"Off\\\",\\\"Vertical\\\",\\\"Horizontal\\\",\\\"Both\\\"],\\\"current_temperature\\\":24.0,\\\"temperature\\\":20.0,\\\"fan_mode\\\":\\\"Auto\\\",\\\"preset_mode\\\":\\\"none\\\",\\\"swing_mode\\\":\\\"Off\\\",\\\"prompt_tone\\\":true,\\\"power\\\":true,\\\"mode\\\":2,\\\"target_temperature\\\":20.0,\\\"fan_speed\\\":102,\\\"swing_vertical\\\":false,\\\"swing_horizontal\\\":false,\\\"smart_eye\\\":false,\\\"dry\\\":false,\\\"aux_heating\\\":false,\\\"boost_mode\\\":false,\\\"sleep_mode\\\":false,\\\"frost_protect\\\":false,\\\"comfort_mode\\\":false,\\\"eco_mode\\\":false,\\\"natural_wind\\\":false,\\\"temp_fahrenheit\\\":false,\\\"screen_display\\\":false,\\\"screen_display_alternate\\\":false,\\\"full_dust\\\":false,\\\"indoor_temperature\\\":24.0,\\\"outdoor_temperature\\\":29.0,\\\"indirect_wind\\\":false,\\\"indoor_humidity\\\":null,\\\"breezeless\\\":false,\\\"total_energy_consumption\\\":3.55,\\\"current_energy_consumption\\\":0.0,\\\"realtime_power\\\":1.5,\\\"fresh_air_power\\\":false,\\\"fresh_air_fan_speed\\\":0,\\\"fresh_air_mode\\\":null,\\\"fresh_air_1\\\":null,\\\"fresh_air_2\\\":null,\\\"icon\\\":\\\"mdi:air-conditioner\\\",\\\"friendly_name\\\":\\\"Klimaanlage\\\",\\\"supported_features\\\":57},\\\"last_changed\\\":\\\"2026-06-18T18:10:06.857049+00:00\\\",\\\"last_reported\\\":\\\"2026-06-18T18:10:06.857049+00:00\\\",\\\"last_updated\\\":\\\"2026-06-18T18:10:06.857049+00:00\\\",\\\"context\\\":{\\\"id\\\":\\\"01KVDYT3Q0HVG9V5RXAVPDB2M9\\\",\\\"parent_id\\\":null,\\\"user_id\\\":\\\"1aa24760ce68486692c6bf5392fd605f\\\"}}\\n\", \"tool_calls_made\": 1, \"duration_seconds\": 0.44}", "tool_call_id": "call_1w3xgdu1" }, { "role": "assistant", "content": "Klima läuft! Status: **cool**, 24°C aktuell, Ziel 20°C. Jetzt setze ich den 15-Minuten-Timer zum Ausschalten.", "reasoning": "Die Klimaanlage ist jetzt an: `state: \"cool\"`, `power: true`, `current_temperature: 24.0`, `target_temperature: 20.0`. Jetzt muss ich einen Cronjob für 15 Minuten erstellen, der sie wieder ausschaltet und mir Bescheid gibt.", "finish_reason": "tool_calls", "reasoning_content": "Die Klimaanlage ist jetzt an: `state: \"cool\"`, `power: true`, `current_temperature: 24.0`, `target_temperature: 20.0`. Jetzt muss ich einen Cronjob für 15 Minuten erstellen, der sie wieder ausschaltet und mir Bescheid gibt.", "tool_calls": [ { "id": "call_puybalsj", "call_id": "call_puybalsj", "response_item_id": "fc_puybalsj", "type": "function", "function": { "name": "cronjob", "arguments": "{\"action\":\"create\",\"name\":\"Klima ausschalten in 15min\",\"schedule\":\"15m\",\"repeat\":1,\"prompt\":\"Schalte die Midea Klimaanlage in Home Assistant aus. Nutze den Home Assistant API Token per Refresh-Token-Austausch (docker exec homeassistant python3 -c \\\"...\\\"). Entity: climate.152832117784908_climate. Schalte sie aus per set_hvac_mode mit hvac_mode: \\\"off\\\". Bestätige danach den Status (state sollte \\\"off\\\" sein). Sag dem User: \\\"Klima ist jetzt ausgeschaltet, Boss! 🌬️\\\"\",\"deliver\":\"origin\",\"skills\":[\"home-assistant\",\"midea-ac-ha\"],\"enabled_toolsets\":[\"terminal\"]}" } } ] }, { "role": "tool", "name": "cronjob", "content": "{\n \"success\": true,\n \"job_id\": \"8179d7c82c74\",\n \"name\": \"Klima ausschalten in 15min\",\n \"skill\": \"home-assistant\",\n \"skills\": [\n \"home-assistant\",\n \"midea-ac-ha\"\n ],\n \"schedule\": \"once in 15m\",\n \"repeat\": \"once\",\n \"deliver\": \"origin\",\n \"next_run_at\": \"2026-06-18T20:25:15.889448+02:00\",\n \"job\": {\n \"job_id\": \"8179d7c82c74\",\n \"name\": \"Klima ausschalten in 15min\",\n \"skill\": \"home-assistant\",\n \"skills\": [\n \"home-assistant\",\n \"midea-ac-ha\"\n ],\n \"prompt_preview\": \"Schalte die Midea Klimaanlage in Home Assistant aus. Nutze den Home Assistant API Token per Refresh-...\",\n \"model\": null,\n \"provider\": null,\n \"base_url\": null,\n \"schedule\": \"once in 15m\",\n \"repeat\": \"once\",\n \"deliver\": \"origin\",\n \"next_run_at\": \"2026-06-18T20:25:15.889448+02:00\",\n \"last_run_at\": null,\n \"last_status\": null,\n \"last_delivery_error\": null,\n \"enabled\": true,\n \"state\": \"scheduled\",\n \"paused_at\": null,\n \"paused_reason\": null,\n \"enabled_toolsets\": [\n \"terminal\"\n ]\n },\n \"message\": \"Cron job 'Klima ausschalten in 15min' created.\"\n}", "tool_call_id": "call_puybalsj" }, { "role": "assistant", "content": "Erledigt, Boss! ✅\n\n- **Klima läuft** — Modus: cool, aktuell 24°C, Ziel 20°C\n- **Timer gesetzt** — in 15 Minuten (20:25) schalte ich sie automatisch aus und melde mich bei dir", "reasoning": "The AC is now on (cool mode, 24°C current, target 20°C). I've created a one-shot cron job that will run in 15 minutes to turn it off. Let me confirm to the boss.", "finish_reason": "stop", "reasoning_content": "The AC is now on (cool mode, 24°C current, target 20°C). I've created a one-shot cron job that will run in 15 minutes to turn it off. Let me confirm to the boss." }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act." }, { "role": "assistant", "content": "Nothing to save. Die Session lief glatt — beide Skills (`home-assistant`, `midea-ac-ha`) waren akkurat, der Workflow (Token-Austausch → `set_hvac_mode` → Cronjob) funktionierte ohne Korrekturen oder neue Erkenntnisse.", "reasoning": "Let me review the conversation to identify any signals for skill updates.\n\nLooking at the conversation:\n\n1. The user asked me to turn on the AC and turn it off in 15 minutes. I loaded `midea-ac-ha` and `home-assistant` skills, used them successfully, and completed the task.\n\n2. The task went smoothly - I followed the skills' instructions exactly:\n - Got HA API token via refresh token exchange\n - Used `set_hvac_mode` to \"cool\" (not `turn_on` - the skill correctly warned about this)\n - Created a cron job for the 15-minute auto-off\n\n3. No user corrections, no frustrations, no new techniques discovered. The skills were accurate and complete.\n\n4. The only thing I notice: the `home-assistant` skill's entity listing command didn't output anything for climate entities (the `docker exec` python one-liner returned empty). But that's likely because the entity registry query was a quick inline command that may have had issues with the nested quotes. The skill already documents the `docker cp + exec` pattern as the reliable approach. The inline one-liner worked fine for the token exchange though.\n\nActually, wait - let me re-read. The climate entity listing returned empty output. But the `set_hvac_mode` call to `climate.152832117784908_climate` worked fine. So the entity exists, the inline query just didn't print it. This could be a minor pitfall worth noting - the inline `docker exec python3 -c \"...\"` pattern with nested quotes can be fragile. But the skill already documents this as a pitfall and recommends `docker cp + exec`.\n\nI think this session genuinely produced nothing new to save. The skills were accurate, the workflow was smooth, no corrections from the user.\n\nLet me double-check: did the user express any frustration or correction? No - the user just said \"Schalte die Klima jetzt bitte ein und in 15 min wieder aus. Gib mir Bescheid wenn du sie ausmachst.\" and I did exactly that. No follow-up corrections.\n\n\"Nothing to save.\" is the right answerhere.", "finish_reason": "stop", "reasoning_content": "Let me review the conversation to identify any signals for skill updates.\n\nLooking at the conversation:\n\n1. The user asked me to turn on the AC and turn it off in 15 minutes. I loaded `midea-ac-ha` and `home-assistant` skills, used them successfully, and completed the task.\n\n2. The task went smoothly - I followed the skills' instructions exactly:\n - Got HA API token via refresh token exchange\n - Used `set_hvac_mode` to \"cool\" (not `turn_on` - the skill correctly warned about this)\n - Created a cron job for the 15-minute auto-off\n\n3. No user corrections, no frustrations, no new techniques discovered. The skills were accurate and complete.\n\n4. The only thing I notice: the `home-assistant` skill's entity listing command didn't output anything for climate entities (the `docker exec` python one-liner returned empty). But that's likely because the entity registry query was a quick inline command that may have had issues with the nested quotes. The skill already documents the `docker cp + exec` pattern as the reliable approach. The inline one-liner worked fine for the token exchange though.\n\nActually, wait - let me re-read. The climate entity listing returned empty output. But the `set_hvac_mode` call to `climate.152832117784908_climate` worked fine. So the entity exists, the inline query just didn't print it. This could be a minor pitfall worth noting - the inline `docker exec python3 -c \"...\"` pattern with nested quotes can be fragile. But the skill already documents this as a pitfall and recommends `docker cp + exec`.\n\nI think this session genuinely produced nothing new to save. The skills were accurate, the workflow was smooth, no corrections from the user.\n\nLet me double-check: did the user express any frustration or correction? No - the user just said \"Schalte die Klima jetzt bitte ein und in 15 min wieder aus. Gib mir Bescheid wenn du sie ausmachst.\" and I did exactly that. No follow-up corrections.\n\n\"Nothing to save.\" is the right answerhere." } ] }