{ "session_id": "20260621_112316_99a14a", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-06-21T11:22:04.020734", "last_updated": "2026-06-21T11:35:50.539036", "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. 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) [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) [94% — 1,297/1,375 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 (STL, dimensions, volume, PNG, watertight only — no print recs). Iterates on skill design with exact specs. Wants deeply technical product content — AWS/Stripe/Cloudflare doc style (crypto details, API refs, protocol specs, threat models), not surface marketing.\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 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 - 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 - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\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: Sunday, June 21, 2026 11:23 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 ![alt](url) 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": 107, "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\n\"wie viel verbraucht meine midea porta split bisher und was kostet das? schau was du in HA finden kannst\"\n\n## Goal\nErstellung einer Vertrauensinfrastruktur-Lösung für KI-Agenten („AgentTrust“), Optimierung der „Zeitgeist“ Lern-App, automatisierte Steuerung der Midea Klimaanlage (Home Assistant) sowie Recherche zu Startups, Freimaurerei und Stromkostenanalyse.\n\n## Constraints & Preferences\n- **Coding**: „Kimi k.27“-Stil (hochwertig, präzise).\n- **Design**: Dark Navy/Void (#08090a), Stripe-Shadows, Linear-Luminance.\n- **Technik**: Single-File HTML/CSS/JS Lösungen.\n- **Hausautomation**: ZimaOS, Home Assistant Integration (Token-basiert), Port 9876.\n- **Modell-Setup**: Ollama Cloud Pro Flatrate (DeepSeek V4 Pro, Kimi K2.7, Gemini 3 Flash).\n\n## Completed Actions\n8. **AC-Fajr-Scheduling**: 14 Cronjobs für Gebetszeiten (20.–26. Juni) erstellt, basierend auf Aladhan-API (Wien, Methode 13). Später auf User-Wunsch wieder gelöscht. [tool: cronjob]\n9. **Klima-Nachmittag-Jobs**: Cronjobs für 19. Juni (14:00, 15:00, 16:00 ON/OFF) beibehalten. [tool: cronjob]\n10. **RAM-Recherche**: Analyse zu genossenschaftlicher RAM-Nutzung (CXL 3.0, RDMA, DSM) und deren Limitierungen (Latenz, Bandbreite).\n11. **Kosten-Analyse**: Vergleich Ollama Cloud Pro ($20/Monat) vs. OpenRouter Token-Abrechnung. Ergebnis: Ollama ist günstiger für das aktuelle Setup. [tool: terminal]\n12. **AC-Manuell**: Mehrfache Schaltungen (20°C/21°C, cool, ECO) und Timer-Programmierung (15/25 min). [tool: terminal/cronjob]\n13. **Startup-Ideen**: 5 VC-taugliche Konzepte entwickelt: Aegis (Agent-IAM), Trench (AI Red Teaming), Mesh (Agent Payments), Vault (Confidential AI), Cortex (Agent Orchestration). [tool: terminal/web]\n14. **Freimaurer-Recherche**: Identifikation von 8 Großlogen in Österreich. Analyse der Souveränen Großloge (#7) als irregulär vs. AFAM (#1) als einzige UGLE-anerkannte Loge. [tool: terminal/web]\n15. **Stromkosten-OCR**: PDF-Abrechnung (`S592553_AbrechnungMSO-586858...pdf`) mit PyMuPDF analysiert. [tool: terminal]\n\n## Active State\n- **Klimaanlage**: Status wird über Home Assistant API (via ZimaOS) gesteuert. Ein aktiver Abschalt-Job für 03:33 Uhr ist (oder war) in der Queue.\n- **Home Assistant Auth**: Zugriff erfolgt via Refresh-Token aus `/DATA/AppData/homeassistant/config/.storage/auth`.\n- **Python-Server**: Port 9876 aktiv.\n- **Zeitgeist-App**: `/media/HDD_1TB/Zeitgeist/zeitgeist.html` (v2.1).\n\n## In Progress\n- Abfrage von Verbrauchsdaten der Midea Klimaanlage in Home Assistant.\n\n## Blocked\n- Bild-Assets für **Video-Szene 4** (Kiwi vor Spiegel) fehlen weiterhin.\n\n## Key Decisions\n- **Ollama Cloud Pro**: Bleibt Primär-Provider, da Flatrate Kimi K2.7 (Coding) und DeepSeek V4 Pro (Main) effizient abdeckt.\n- **Freimaurerei**: AFAM wurde als das \"beste\" Netzwerk für internationale Konnektivität identifiziert (2B1ASK1-Prinzip).\n- **AC-Steuerung**: Redundante Befehle (State, Temp, Preset) werden gesendet, um API-Lags bei Midea/Home Assistant auszugleichen.\n\n## Resolved Questions\n- **RAM genossenschaftlich nutzbar?**: Technisch via CXL möglich, für Consumer durch Netzwerk-Latenz (Faktor 100-500) unpraktikabel.\n- **Stromkosten pro kWh**: 13,8 ct/kWh (reiner Energie-Arbeitspreis), effektiv **21 ct/kWh** inklusive Grundgebühr und Abgaben (brutto).\n- **Unterschied Großlogen**: AFAM (#1) ist die einzige reguläre Loge mit weltweitem Netzwerk; #7 ist eine isolierte Neugründung.\n\n## Pending User Asks\n- \"wie viel verbraucht meine midea porta split bisher und was kostet das? schau was du in HA finden kannst\"\n\n## Relevant Files\n- `/DATA/.hermes/cache/documents/doc_833b8e7d0fd3_S592553_AbrechnungMSO-586858_2025-07-17_10h28h49.pdf` (Stromrechnung)\n- `/media/HDD_1TB/Zeitgeist/zeitgeist.html` (Lern-App)\n- `/tmp/agenttrust-prototype.html` (AgentTrust Whitepaper/Prototyp)\n\n## Remaining Work\n- Historische Verbrauchsdaten der AC aus Home Assistant (Recorder/Energy-Board) extrahieren.\n- Kostenkalkulation basierend auf den ermittelten 21 ct/kWh.\n\n## Critical Context\n- **Strompreis**: 0,21 EUR/kWh (effektiv brutto).\n- **Fajr-Zeit Diskrepanz**: User meldet 03:09, App-DB zeigt 03:46. Wahrscheinlich Methoden-Differenz (Diyanet vs. Aladhan).\n- **HA-Auth**: [REDACTED] Tokens in `/DATA/AppData/homeassistant/config/.storage/auth`.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---", "tool_calls": [ { "id": "call_6hcpc182", "call_id": "call_6hcpc182", "response_item_id": "fc_6hcpc182", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"sudo python3 -c \\\"\\nimport json, urllib.request, urllib.parse\\n\\nwith open('/DATA/AppData/homeassistant/config/.storage/auth') as f:\\n auth = json.load(f)\\n\\naccess_token = None\\nfor rt in auth['data']['re...[truncated]\", \"timeout\": 10}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss will wissen, wie viel seine Midea Porta Split Klimaanlage bisher verbraucht hat und was das kostet. Ich muss in Home Assistant nach den Energie-/Verbrauchsdaten der Klimaanlage suchen. Die Midea-Integration hat `realtime_power` (aktuelle Watt) und `total_energy_consumption` (kWh gesamt). Lass mich das abfragen.", "reasoning_content": "Der Boss will wissen, wie viel seine Midea Porta Split Klimaanlage bisher verbraucht hat und was das kostet. Ich muss in Home Assistant nach den Energie-/Verbrauchsdaten der Klimaanlage suchen. Die Midea-Integration hat `realtime_power` (aktuelle Watt) und `total_energy_consumption` (kWh gesamt). Lass mich das abfragen." }, { "role": "tool", "content": "[terminal] ran `sudo python3 -c \"\nimport json, urllib.request, urllib.parse\n\nwith open('/DATA...` -> exit 0, 1 lines output", "tool_call_id": "call_6hcpc182" }, { "role": "assistant", "content": "Hier die Daten aus Home Assistant, Boss:\n\n---\n\n## Midea Porta Split — Verbrauch & Kosten\n\n| Wert | Aktuell |\n|------|---------|\n| **Gesamtverbrauch** (seit Einbindung) | **4,41 kWh** |\n| **Aktuelle Leistung** | 115,9 W |\n| **Effektiver Strompreis** | 21 ct/kWh |\n| **Gesamtkosten bisher** | **0,93 €** |\n\n---\n\n## Einordnung\n\n- **4,41 kWh** ist sehr wenig — das Gerät ist erst seit kurzem in HA eingebunden und läuft nur sporadisch\n- **115,9 W** aktuell ist extrem niedrig für eine Klimaanlage im Cool-Modus (normal: 500–1.500 W). Der Kompressor läuft gerade wahrscheinlich nicht, nur der Lüfter — bei 33°C draußen und Silent-Fan-Modus\n- Hochgerechnet: Wenn die Klima dauerhaft mit ~500 W läuft, kostet dich eine Stunde Kühlen etwa **10,5 ct** (0,5 kW × 21 ct)", "reasoning": "Der Boss will wissen, wie viel die Midea Porta Split bisher insgesamt verbraucht hat und was das kostet. Die HA-Daten zeigen:\n\n- Total energy: 4.41 kWh (Gesamtverbrauch seit Inbetriebnahme/Zählerstand)\n- Realtime power: 115.9 W (aktuelle Leistungsaufnahme)\n- 21 ct/kWh effektiver Strompreis\n\nAlso: 4.41 kWh × 0,21 € = 0,93 €\n\nDas ist der Gesamtverbrauch seit das Gerät in HA eingebunden ist. Ich sollte auch erklären, dass der Zähler bei 0 anfing (oder was auch immer der Startwert war) und dass 4.41 kWh für eine Klimaanlage sehr wenig ist — das Gerät läuft erst seit kurzem in HA.\n\nDie aktuelle Leistungsaufnahme von 115.9 W ist interessant — das ist sehr niedrig für eine Klimaanlage im Cool-Modus. Normalerweise ziehen die 500-1500W. 115.9 W deutet darauf hin, dass der Kompressor gerade nicht läuft (nur Lüfter), oder die Klima ist im ECO/Silent-Modus sehr effizient. Bei 33°C Außentemperatur ist das beeindruckend niedrig.\n\nIch sollte die Antwort kurz und präzise halten, mit den Zahlen und einer kurzen Einordnung." }, { "role": "user", "content": "[The user sent a voice message~ Here's what they said: \"Schaltet die Klimaanlage ein.\"]" }, { "role": "assistant", "content": "Läuft bereits, Boss — **cool, 22°C Soll, 24°C Ist, 115,9 W**. Soll ich was ändern? Temperatur, Modus?", "reasoning": "Die Klimaanlage ist bereits eingeschaltet (state=cool, 22°C, 24°C current). Der Boss sagt \"Schaltet die Klimaanlage ein\" — sie läuft aber schon. Ich sollte ihn darauf hinweisen, dass sie bereits läuft, und fragen ob er etwas ändern möchte (Temperatur, Modus etc.)." }, { "role": "user", "content": "Änderung in Zeitgeist app, modul anki. Ich soll bei manchen karten beim anlegen oder beim bearbeiten priority auswählen können. Diese Karten werden dann mit einem dezenten schicken regenbogen glow bookeh hinterlegt auf der karte und mir bei JEDEM lerndurchgang jedenfalls angezeigt. Auswählen kann ich dann nur Gemerkt! Bitte mit kimi k2.7 code umsetzen!" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_i9fy09uu", "call_id": "call_i9fy09uu", "response_item_id": "fc_i9fy09uu", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"zeitgeist*\",\"target\":\"files\",\"path\":\"/media/HDD_1TB/Zeitgeist\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss möchte eine Änderung in der Zeitgeist-App, speziell im Anki-Modul. Die Anforderungen:\n\n1. Beim Anlegen oder Bearbeiten von Karten soll man eine \"Priority\" auswählen können\n2. Priority-Karten bekommen einen dezenten, schicken Regenbogen-Glow/Bokeh-Hintergrund auf der Karte\n3. Priority-Karten werden bei JEDEM Lerndurchgang angezeigt (nicht nur wenn sie fällig sind)\n4. Bei Priority-Karten gibt es nur eine Antwortoption: \"Gemerkt!\" (nicht die üblichen spaced-repetition Buttons)\n\nDas muss mit Kimi K2.7 Code umgesetzt werden. Ich muss:\n- Die Zeitgeist-App-Datei finden und lesen\n- Verstehen wie das Anki-Modul aktuell funktioniert\n- Einen klaren Spec für den Subagent schreiben\n- An Kimi delegieren\n\nLass mich erst die App finden und den relevanten Code-Bereich verstehen.", "reasoning_content": "Der Boss möchte eine Änderung in der Zeitgeist-App, speziell im Anki-Modul. Die Anforderungen:\n\n1. Beim Anlegen oder Bearbeiten von Karten soll man eine \"Priority\" auswählen können\n2. Priority-Karten bekommen einen dezenten, schicken Regenbogen-Glow/Bokeh-Hintergrund auf der Karte\n3. Priority-Karten werden bei JEDEM Lerndurchgang angezeigt (nicht nur wenn sie fällig sind)\n4. Bei Priority-Karten gibt es nur eine Antwortoption: \"Gemerkt!\" (nicht die üblichen spaced-repetition Buttons)\n\nDas muss mit Kimi K2.7 Code umgesetzt werden. Ich muss:\n- Die Zeitgeist-App-Datei finden und lesen\n- Verstehen wie das Anki-Modul aktuell funktioniert\n- Einen klaren Spec für den Subagent schreiben\n- An Kimi delegieren\n\nLass mich erst die App finden und den relevanten Code-Bereich verstehen." }, { "role": "tool", "content": "{\"total_count\": 1, \"files\": [\"/media/HDD_1TB/Zeitgeist/zeitgeist.html\"]}", "tool_call_id": "call_i9fy09uu" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_rf0v2czd", "call_id": "call_rf0v2czd", "response_item_id": "fc_rf0v2czd", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/media/HDD_1TB/Zeitgeist/zeitgeist.html\",\"limit\":100}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss möchte eine Änderung in der Zeitgeist-App, speziell im Modul \"Anki\" (Karteikarten). Er möchte:\n\n1. Beim Anlegen oder Bearbeiten von Karten eine \"Priority\"-Auswahl hinzufügen\n2. Prioritäts-Karten bekommen einen dezenten, schicken Regenbogen-Glow-Bokeh-Hintergrund\n3. Diese Karten werden bei JEDEM Lerndurchgang angezeigt\n4. Als Antwort-Option gibt es nur \"Gemerkt!\" (nicht die üblichen Anki-Optionen wie \"Wiederholen\", \"Schwer\", etc.)\n\nDas muss mit Kimi K2.7 Code umgesetzt werden. Ich muss:\n- Die Zeitgeist-HTML-Datei lesen, um die aktuelle Struktur zu verstehen\n- Dann einen Subagent mit Kimi K2.7 Code beauftragen, die Änderungen umzusetzen\n\nLass mich zuerst die Datei lesen, um die Anki-Modul-Struktur zu verstehen.", "reasoning_content": "Der Boss möchte eine Änderung in der Zeitgeist-App, speziell im Modul \"Anki\" (Karteikarten). Er möchte:\n\n1. Beim Anlegen oder Bearbeiten von Karten eine \"Priority\"-Auswahl hinzufügen\n2. Prioritäts-Karten bekommen einen dezenten, schicken Regenbogen-Glow-Bokeh-Hintergrund\n3. Diese Karten werden bei JEDEM Lerndurchgang angezeigt\n4. Als Antwort-Option gibt es nur \"Gemerkt!\" (nicht die üblichen Anki-Optionen wie \"Wiederholen\", \"Schwer\", etc.)\n\nDas muss mit Kimi K2.7 Code umgesetzt werden. Ich muss:\n- Die Zeitgeist-HTML-Datei lesen, um die aktuelle Struktur zu verstehen\n- Dann einen Subagent mit Kimi K2.7 Code beauftragen, die Änderungen umzusetzen\n\nLass mich zuerst die Datei lesen, um die Anki-Modul-Struktur zu verstehen." }, { "role": "tool", "content": "[read_file] read /media/HDD_1TB/Zeitgeist/zeitgeist.html from line 1 (4,774 chars)", "tool_call_id": "call_rf0v2czd" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_6b2qae1g", "call_id": "call_6b2qae1g", "response_item_id": "fc_6b2qae1g", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"anki|Anki|karte|Karte|card|Card|priority|Priority|review|Review|spaced|Spaced\",\"path\":\"/media/HDD_1TB/Zeitgeist\",\"target\":\"content\",\"output_mode\":\"content\",\"limit\":80}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss will eine Änderung in der Zeitgeist-App, speziell im Modul \"Anki\" (Karteikarten-Lernsystem). Die Anforderungen:\n\n1. Beim Anlegen oder Bearbeiten von Karten soll man eine \"Priority\" auswählen können\n2. Priority-Karten bekommen einen \"dezenten schicken Regenbogen-Glow-Bokeh-Hintergrund\" auf der Karte\n3. Priority-Karten werden bei JEDEM Lerndurchgang angezeigt (nicht nur nach spaced-repetition-Algorithmus)\n4. Bei Priority-Karten gibt es nur den Button \"Gemerkt!\" (nicht die üblichen spaced-repetition-Buttons)\n\nDas muss mit Kimi K2.7 Code umgesetzt werden. Ich muss:\n1. Die Zeitgeist-HTML-Datei verstehen (Aufbau, Anki-Modul, Karten-Struktur)\n2. Eine klare Spec für den Subagent schreiben\n3. An Kimi delegieren\n\nLass mich erstmal die relevante Sektion der Datei finden - das Anki-Modul, die Karten-Darstellung, die Lernlogik.", "reasoning_content": "Der Boss will eine Änderung in der Zeitgeist-App, speziell im Modul \"Anki\" (Karteikarten-Lernsystem). Die Anforderungen:\n\n1. Beim Anlegen oder Bearbeiten von Karten soll man eine \"Priority\" auswählen können\n2. Priority-Karten bekommen einen \"dezenten schicken Regenbogen-Glow-Bokeh-Hintergrund\" auf der Karte\n3. Priority-Karten werden bei JEDEM Lerndurchgang angezeigt (nicht nur nach spaced-repetition-Algorithmus)\n4. Bei Priority-Karten gibt es nur den Button \"Gemerkt!\" (nicht die üblichen spaced-repetition-Buttons)\n\nDas muss mit Kimi K2.7 Code umgesetzt werden. Ich muss:\n1. Die Zeitgeist-HTML-Datei verstehen (Aufbau, Anki-Modul, Karten-Struktur)\n2. Eine klare Spec für den Subagent schreiben\n3. An Kimi delegieren\n\nLass mich erstmal die relevante Sektion der Datei finden - das Anki-Modul, die Karten-Darstellung, die Lernlogik." }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_6b2qae1g" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_bq0rob90", "call_id": "call_bq0rob90", "response_item_id": "fc_bq0rob90", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":80,\"output_mode\":\"content\",\"path\":\"/media/HDD_1TB/Zeitgeist\",\"pattern\":\"anki|Anki|modul|Modul|module|Module\",\"target\":\"content\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Let me search for the Anki module in the Zeitgeist app more carefully.", "reasoning_content": "Let me search for the Anki module in the Zeitgeist app more carefully." }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_bq0rob90" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_f37yj076", "call_id": "call_f37yj076", "response_item_id": "fc_f37yj076", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":200,\"offset\":101,\"path\":\"/media/HDD_1TB/Zeitgeist/zeitgeist.html\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The search didn't find \"anki\" or \"modul\" in the file. Let me look at the file structure more carefully. The file is 1793 lines, 73KB. Let me read more of it to understand the structure, especially looking for card-related code, the Anki module, and how cards are created/edited.", "reasoning_content": "The search didn't find \"anki\" or \"modul\" in the file. Let me look at the file structure more carefully. The file is 1793 lines, 73KB. Let me read more of it to understand the structure, especially looking for card-related code, the Anki module, and how cards are created/edited." }, { "role": "tool", "content": "{\"content\": \" 101| }\\n 102|\\n 103| *, *::before, *::after { transition: background-color .3s ease, border-color .3s ease, color .2s ease; }\\n 104| /* override for elements that need their own faster transitions */\\n 105| .ck, .btn, .anki-btn, .theme-toggle { transition: all .2s ease !important; }\\n 106|\\n 107| /* ── HEADER ─────────────────────────────────────────── */\\n 108| .header {\\n 109| position: sticky; top: 0; z-index: 100;\\n 110| height: calc(62px + env(safe-area-inset-top, 0px));\\n 111| padding-top: env(safe-area-inset-top, 0px);\\n 112| padding-left: calc(52px + env(safe-area-inset-left, 0px));\\n 113| padding-right: calc(52px + env(safe-area-inset-right, 0px));\\n 114| background: var(--header-bg);\\n 115| backdrop-filter: blur(28px) saturate(1.5);\\n 116| -webkit-backdrop-filter: blur(28px) saturate(1.5);\\n 117| transition: background .3s ease;\\n 118| border-bottom: 1px solid var(--border);\\n 119| display: flex;\\n 120| align-items: center;\\n 121| justify-content: space-between;\\n 122| }\\n 123|\\n 124| .brand { display: flex; align-items: center; gap: 8px; }\\n 125|\\n 126| .brand-wordmark {\\n 127| font-family: 'Lora', Georgia, serif;\\n 128| font-size: 21px;\\n 129| font-weight: 600;\\n 130| letter-spacing: -0.5px;\\n 131| color: var(--text);\\n 132| line-height: 1;\\n 133| }\\n 134| .brand-wordmark em { font-style: italic; font-weight: 400; color: var(--text-2); }\\n 135| .brand-app { font-style: italic; font-weight: 400; color: var(--text-3); margin-left: 1px; }\\n 136| .app-switcher { display: flex; align-items: center; gap: 18px; }\\n 137| .app-switcher a {\\n 138| font-family: 'Lora', Georgia, serif; font-size: 21px; font-weight: 400;\\n 139| font-style: italic; color: var(--text-2); text-decoration: none;\\n 140| letter-spacing: -0.5px; line-height: 1; transition: color .15s;\\n 141| }\\n 142| .app-switcher a:hover { color: var(--ck-free); }\\n 143| .app-switcher a.active { font-weight: 600; font-style: normal; color: var(--text); }\\n 144| @media(max-width:640px) {\\n 145| .app-switcher { gap: 12px; }\\n 146| .app-switcher a { font-size: 16px; }\\n 147| }\\n 148| @media(max-width:400px) {\\n 149| .app-switcher a { font-size: 14px; }\\n 150| .app-switcher { gap: 10px; }\\n 151| }\\n 152| .nav-app-btn {\\n 153| display: flex; align-items: center; gap: 5px;\\n 154| padding: 5px 12px; border-radius: 99px;\\n 155| border: 1.5px solid var(--border);\\n 156| background: var(--card);\\n 157| font-size: 12px; font-weight: 600; color: var(--text-2);\\n 158| cursor: pointer; transition: all .2s ease;\\n 159| box-shadow: var(--shadow-sm);\\n 160| margin-left: 10px;\\n 161| }\\n 162| .nav-app-btn:hover { border-color: var(--border-strong); color: var(--text); }\\n 163|\\n 164| /* Anki button */\\n 165| .anki-btn {\\n 166| margin-left: 14px;\\n 167| padding: 5px 14px;\\n 168| border-radius: 99px;\\n 169| border: 1.5px solid var(--border-strong);\\n 170| background: transparent;\\n 171| font-family: system-ui, -apple-system, 'Segoe UI', sans-serif;\\n 172| font-size: 12px;\\n 173| font-weight: 700;\\n 174| letter-spacing: 0.4px;\\n 175| color: var(--text-2);\\n 176| cursor: pointer;\\n 177| transition: background .18s ease, color .18s ease, border-color .18s ease;\\n 178| }\\n 179| .anki-btn:hover {\\n 180| background: var(--border);\\n 181| color: var(--text);\\n 182| border-color: var(--border-strong);\\n 183| }\\n 184|\\n 185| /* Theme toggle */\\n 186| .theme-toggle {\\n 187| display: flex; align-items: center; gap: 7px;\\n 188| padding: 6px 14px;\\n 189| border-radius: 99px;\\n 190| border: 1.5px solid var(--border);\\n 191| background: var(--card);\\n 192| font-family: system-ui, -apple-system, 'Segoe UI', sans-serif;\\n 193| font-size: 12px; font-weight: 600;\\n 194| color: var(--text-2);\\n 195| cursor: pointer;\\n 196| transition: all .2s ease;\\n 197| box-shadow: var(--shadow-sm);\\n 198| }\\n 199| .theme-toggle:hover { border-color: var(--border-strong); color: var(--text); }\\n 200| .theme-toggle-icon { font-size: 14px; line-height: 1; }\\n 201|\\n 202| .header-stats { display: flex; align-items: center; }\\n 203| /* Kompakte Heute-Anzeige — nur mobil sichtbar */\\n 204| .hstat-mini {\\n 205| display: none;\\n 206| font-family: 'Lora', serif;\\n 207| font-size: 14px; font-weight: 600; letter-spacing: -0.2px;\\n 208| color: var(--ck-std-hover); white-space: nowrap;\\n 209| }\\n 210| .hstat { padding: 0 22px; border-left: 1px solid var(--border); text-align: right; }\\n 211| .hstat-val {\\n 212| font-family: 'Lora', serif;\\n 213| font-size: 19px; font-weight: 600; letter-spacing: -0.4px;\\n 214| color: var(--text); line-height: 1.15;\\n 215| }\\n 216| .hstat-val.green { color: var(--ck-std-hover); }\\n 217| .hstat-label { font-size: 9.5px; color: var(--text-3); text-transform: uppercase; letter-spacing: 0.9px; margin-top: 1px; }\\n 218|\\n 219| /* ── MAIN ───────────────────────────────────────────── */\\n 220| .main { max-width: 740px; margin: 0 auto; padding: 48px 24px 100px; }\\n 221|\\n 222| /* ── INTRO ──────────────────────────────────────────── */\\n 223| .intro { margin-bottom: 44px; display: flex; align-items: center; justify-content: space-between; gap: 20px; }\\n 224|\\n 225| .intro-greeting {\\n 226| font-family: 'Lora', serif;\\n 227| font-size: 38px; font-weight: 700; font-style: normal;\\n 228| color: var(--text); margin-bottom: 6px; letter-spacing: -0.9px;\\n 229| line-height: 1.1;\\n 230| }\\n 231| .intro-heading {\\n 232| font-family: 'Lora', serif;\\n 233| font-size: 16px; font-weight: 400;\\n 234| letter-spacing: 0px; line-height: 1.4;\\n 235| color: var(--text-2);\\n 236| font-style: normal;\\n 237| }\\n 238| .note-suggestions {\\n 239| display: none;\\n 240| position: absolute;\\n 241| left: 0; right: 0;\\n 242| background: var(--card);\\n 243| border: 1.5px solid var(--border-strong);\\n 244| border-top: none;\\n 245| border-radius: 0 0 10px 10px;\\n 246| z-index: 10;\\n 247| max-height: 180px;\\n 248| overflow-y: auto;\\n 249| }\\n 250| .note-sug-item {\\n 251| padding: 9px 14px;\\n 252| font-size: 13px;\\n 253| color: var(--text);\\n 254| cursor: pointer;\\n 255| border-top: 1px solid var(--border);\\n 256| }\\n 257| .note-sug-item:hover { background: var(--bg); }\\n 258|\\n 259| .anki-main-btn {\\n 260| flex-shrink: 0;\\n 261| padding: 12px 26px;\\n 262| border-radius: 14px;\\n 263| border: none;\\n 264| background: var(--text);\\n 265| color: var(--bg);\\n 266| font-family: 'Lora', Georgia, serif;\\n 267| font-size: 16px; font-weight: 600;\\n 268| letter-spacing: -0.2px;\\n 269| cursor: pointer;\\n 270| transition: opacity .18s ease, transform .18s ease;\\n 271| }\\n 272| .anki-main-btn:hover { opacity: .82; transform: translateY(-2px); }\\n 273| .anki-main-btn:active { transform: translateY(0); }\\n 274| .work-btn { background: #1A1917; }\\n 275| .work-btn:hover { background: #3D3B38; }\\n 276|\\n 277| /* ── SECTION ────────────────────────────────────────── */\\n 278| .section { margin-bottom: 10px; }\\n 279| .sec-row { display: flex; align-items: center; gap: 12px; margin-bottom: 12px; padding: 0 2px; }\\n 280| .sec-label { font-size: 10px; font-weight: 700; letter-spacing: 1.3px; text-transform: uppercase; color: var(--text-3); white-space: nowrap; }\\n 281| .sec-rule { flex: 1; height: 1px; background: var(--border); }\\n 282|\\n 283| /* ── DAY CARD ───────────────────────────────────────── */\\n 284| .day-card {\\n 285| background: var(--card);\\n 286| border: 1.5px solid var(--border);\\n 287| border-radius: var(--r);\\n 288| padding: 10px 22px;\\n 289| margin-bottom: 8px;\\n 290| box-shadow: var(--shadow-sm);\\n 291| display: flex;\\n 292| align-items: center;\\n 293| gap: 20px;\\n 294| transition: box-shadow .2s ease, border-color .3s ease;\\n 295| }\\n 296| .day-card:hover { box-shadow: var(--shadow-md); }\\n 297|\\n 298| /* today gets green wash */\\n 299| .day-card.is-today {\\n 300| background: var(--today-bg);\\n 301|\", \"total_lines\": 1793, \"file_size\": 73288, \"truncated\": true, \"hint\": \"Use offset=301 to continue reading (showing 101-300 of 1793 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_f37yj076" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_105lkd9z", "call_id": "call_105lkd9z", "response_item_id": "fc_105lkd9z", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":300,\"offset\":301,\"path\":\"/media/HDD_1TB/Zeitgeist/zeitgeist.html\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Let me understand the request. The user wants to modify the Zeitgeist app's \"Anki\" module. They want:\n\n1. When creating or editing cards, they should be able to select a \"priority\" for some cards\n2. Priority cards get a subtle, stylish rainbow glow/bokeh background on the card\n3. Priority cards are shown in EVERY learning session (always included)\n4. When reviewing, the only option is \"Gemerkt!\" (no other buttons)\n\nLet me read more of the file to understand the Anki module structure.", "reasoning_content": "Let me understand the request. The user wants to modify the Zeitgeist app's \"Anki\" module. They want:\n\n1. When creating or editing cards, they should be able to select a \"priority\" for some cards\n2. Priority cards get a subtle, stylish rainbow glow/bokeh background on the card\n3. Priority cards are shown in EVERY learning session (always included)\n4. When reviewing, the only option is \"Gemerkt!\" (no other buttons)\n\nLet me read more of the file to understand the Anki module structure." }, { "role": "tool", "content": "{\"content\": \" 301| border-color: var(--today-border);\\n 302| }\\n 303|\\n 304| /* ── RAINBOW: ≥240 min (top tier) ───────────────── */\\n 305| @keyframes rainbow-flow {\\n 306| 0% { background-position: 0% 50%; }\\n 307| 50% { background-position: 100% 50%; }\\n 308| 100% { background-position: 0% 50%; }\\n 309| }\\n 310| .day-card.is-rainbow {\\n 311| background: linear-gradient(120deg,\\n 312| rgba(255,160,200,.26), rgba(190,140,255,.23), rgba(120,180,255,.20),\\n 313| rgba(100,230,200,.18), rgba(160,240,130,.20), rgba(255,230,100,.22),\\n 314| rgba(255,160,170,.24), rgba(190,140,255,.23)\\n 315| );\\n 316| background-size: 350% 350%;\\n 317| border-color: rgba(200,170,255,.50);\\n 318| box-shadow: 0 0 10px rgba(180,130,255,.12), var(--shadow-sm);\\n 319| animation: rainbow-flow 8s ease infinite;\\n 320| }\\n 321| /* archive: static snapshot */\\n 322| .day-card.is-rainbow:not(.is-today) {\\n 323| animation: none;\\n 324| background-position: 35% 50%;\\n 325| }\\n 326| html.dark .day-card.is-rainbow {\\n 327| background: linear-gradient(120deg,\\n 328| rgba(255,120,180,.20), rgba(160,100,255,.18), rgba(80,140,255,.16),\\n 329| rgba(60,200,170,.15), rgba(120,220,80,.16), rgba(255,200,60,.18),\\n 330| rgba(255,120,140,.19), rgba(160,100,255,.18)\\n 331| );\\n 332| background-size: 350% 350%;\\n 333| border-color: rgba(170,120,255,.45);\\n 334| }\\n 335|\\n 336| /* ── SILVER: ≥100 min ───────────────────────────── */\\n 337| @keyframes silver-shimmer {\\n 338| 0% { background-position: -200% center; }\\n 339| 100% { background-position: 280% center; }\\n 340| }\\n 341| @keyframes silver-glow {\\n 342| 0%,100% { box-shadow: 0 0 8px rgba(176,176,176,.28), 0 0 18px rgba(192,192,192,.12), var(--shadow-sm); }\\n 343| 50% { box-shadow: 0 0 14px rgba(176,176,176,.42), 0 0 28px rgba(192,192,192,.18), var(--shadow-sm); }\\n 344| }\\n 345| .day-card.is-silver {\\n 346| background: linear-gradient(115deg, #E8E8E8, #D0D0D0, #F5F5F5, #C8C8C8, #D8D8D8, #E8E8E8);\\n 347| background-size: 220% 100%;\\n 348| border: 1.5px solid #B0B0B0;\\n 349| position: relative; overflow: hidden;\\n 350| animation: silver-glow 3.5s ease infinite;\\n 351| }\\n 352| .day-card.is-silver::after {\\n 353| content: '';\\n 354| position: absolute; inset: 0;\\n 355| background: linear-gradient(105deg,\\n 356| transparent 25%, rgba(255,255,255,.42) 50%, transparent 75%\\n 357| );\\n 358| background-size: 200% 100%;\\n 359| animation: silver-shimmer 2.8s linear infinite;\\n 360| pointer-events: none; border-radius: inherit;\\n 361| }\\n 362| /* archive: static, no shimmer */\\n 363| .day-card.is-silver:not(.is-today) { animation: none; background-position: 40% 0; }\\n 364| .day-card.is-silver:not(.is-today)::after { animation: none; opacity: 0; }\\n 365| .day-card.is-silver .dinfo-wd,\\n 366| .day-card.is-silver .dtotal-num.p { color: #5A5A60; }\\n 367| .day-card.is-silver .dinfo-date,\\n 368| .day-card.is-silver .dtotal-unit,\\n 369| .day-card.is-silver .dtotal-sub { color: #7A7A80; }\\n 370| .day-card.is-silver .today-pill { background: #8A8A90; color: #fff; }\\n 371| html.dark .day-card.is-silver { background: linear-gradient(115deg, #3A3A40, #4A4A50, #2A2A30, #5A5A60, #4A4A50, #3A3A40); border-color: #6A6A70; }\\n 372| html.dark .day-card.is-silver .dinfo-wd,\\n 373| html.dark .day-card.is-silver .dtotal-num.p { color: #C0C0C8; }\\n 374| html.dark .day-card.is-silver .dinfo-date,\\n 375| html.dark .day-card.is-silver .dtotal-unit,\\n 376| html.dark .day-card.is-silver .dtotal-sub { color: #8A8A90; }\\n 377|\\n 378| /* ── GOLD: ≥180 min ─────────────────────────────── */\\n 379| @keyframes gold-shimmer {\\n 380| 0% { background-position: -200% center; }\\n 381| 100% { background-position: 280% center; }\\n 382| }\\n 383| @keyframes gold-glow {\\n 384| 0%,100% { box-shadow: 0 0 10px rgba(212,175,55,.30), 0 0 22px rgba(255,215,0,.12), var(--shadow-sm); }\\n 385| 50% { box-shadow: 0 0 18px rgba(212,175,55,.45), 0 0 36px rgba(255,215,0,.20), var(--shadow-sm); }\\n 386| }\\n 387| .day-card.is-gold {\\n 388| background: #FFF8DC;\\n 389| border: 1.5px solid #D4AF37;\\n 390| position: relative; overflow: hidden;\\n 391| animation: gold-glow 3s ease infinite;\\n 392| }\\n 393| .day-card.is-gold::after {\\n 394| content: '';\\n 395| position: absolute; inset: 0;\\n 396| background: linear-gradient(105deg,\\n 397| transparent 25%, rgba(255,255,255,.52) 50%, transparent 75%\\n 398| );\\n 399| background-size: 200% 100%;\\n 400| animation: gold-shimmer 2.4s linear infinite;\\n 401| pointer-events: none; border-radius: inherit;\\n 402| }\\n 403| /* archive: static, no shimmer */\\n 404| .day-card.is-gold:not(.is-today) { animation: none; background-position: 40% 0; }\\n 405| .day-card.is-gold:not(.is-today)::after { animation: none; opacity: 0; }\\n 406| .day-card.is-gold .dinfo-wd,\\n 407| .day-card.is-gold .dtotal-num.p { color: #6B4600; }\\n 408| .day-card.is-gold .dinfo-date,\\n 409| .day-card.is-gold .dtotal-unit,\\n 410| .day-card.is-gold .dtotal-sub { color: #957020; }\\n 411| .day-card.is-gold .today-pill { background: #B8860B; color: #fff; }\\n 412| html.dark .day-card.is-gold { background: linear-gradient(115deg, #3A2800, #7A5800, #5A4000, #FFD70022, #7A5800, #5A3C00, #6A4A00, #3A2800); border-color: #C8A000; }\\n 413| html.dark .day-card.is-gold .dinfo-wd,\\n 414| html.dark .day-card.is-gold .dtotal-num.p { color: #FFD966; }\\n 415| html.dark .day-card.is-gold .dinfo-date,\\n 416| html.dark .day-card.is-gold .dtotal-unit,\\n 417| html.dark .day-card.is-gold .dtotal-sub { color: #A07820; }\\n 418|\\n 419| /* Day info */\\n 420| .dinfo { min-width: 108px; }\\n 421| .dinfo-wd {\\n 422| font-family: 'Lora', serif;\\n 423| font-size: 18px; font-weight: 600;\\n 424| letter-spacing: -0.3px; color: var(--text); line-height: 1.2;\\n 425| }\\n 426| .dinfo-date { font-size: 11px; color: var(--text-3); margin-top: 2px; }\\n 427|\\n 428| .today-pill {\\n 429| display: inline-block;\\n 430| margin-top: 5px;\\n 431| font-size: 9px; font-weight: 700;\\n 432| letter-spacing: 0.7px; text-transform: uppercase;\\n 433| color: #fff;\\n 434| background: var(--today-pill-bg);\\n 435| border-radius: 99px;\\n 436| padding: 2px 8px;\\n 437| }\\n 438|\\n 439| /* Checks */\\n 440| .checks { flex: 1; display: flex; align-items: center; gap: 8px; }\\n 441|\\n 442| .ck {\\n 443| width: 34px; height: 34px;\\n 444| border-radius: 50%;\\n 445| border: 1.5px solid var(--ring-border);\\n 446| background: var(--ring-bg);\\n 447| cursor: pointer;\\n 448| display: flex; align-items: center; justify-content: center;\\n 449| flex-shrink: 0;\\n 450| transition: transform .22s cubic-bezier(.34,1.56,.64,1),\\n 451| background .18s ease, border-color .18s ease;\\n 452| -webkit-tap-highlight-color: transparent;\\n 453| user-select: none;\\n 454| position: relative;\\n 455| }\\n 456|\\n 457| .ck:hover:not(.std):not(.free) {\\n 458| border-color: var(--text-3); background: var(--border);\\n 459| transform: scale(1.12);\\n 460| }\\n 461|\\n 462| /* standard 25-min */\\n 463| .ck.std { background: var(--ck-std); border-color: var(--ck-std); }\\n 464| .ck.std:hover { background: var(--ck-std-hover); border-color: var(--ck-std-hover); transform: scale(1.1); }\\n 465|\\n 466| /* free time – indigo */\\n 467| .ck.free { background: var(--ck-free); border-color: var(--ck-free); }\\n 468| .ck.free:hover { background: var(--ck-free-hover); border-color: var(--ck-free-hover); transform: scale(1.1); }\\n 469|\\n 470| /* free time shows actual minutes as tiny number */\\n 471| .ck.free .ck-label {\\n 472| font-size: 9px; font-weight: 700;\\n 473| color: #fff; line-height: 1;\\n 474| }\\n 475|\\n 476| .ck svg {\\n 477| width: 14px; height: 14px;\\n 478| stroke: #fff; stroke-width: 2.8;\\n 479| stroke-linecap: round; stroke-linejoin: round; fill: none;\\n 480| opacity: 0;\\n 481| transform: scale(.3) rotate(-20deg);\\n 482| transition: opacity .2s ease, transform .22s cubic-bezier(.34,1.56,.64,1);\\n 483| pointer-events: none;\\n 484| }\\n 485| .ck.std svg, .ck.free svg { opacity: 1; transform: scale(1) rotate(0); }\\n 486|\\n 487| /* Total */\\n 488| .dtotal { min-width: 72px; text-align: right; flex-shrink: 0; }\\n 489| .dtotal-num {\\n 490| font-family: 'Lora', serif;\\n 491| font-size: 22px; font-weight: 700;\\n 492| letter-spacing: -0.6px; line-height: 1.1;\\n 493| transition: color .25s ease;\\n 494| }\\n 495| .dtotal-num.z { color: var(--text-3); }\\n 496| .dtotal-num.p { color: var(--ck-std-hover); }\\n 497| .dtotal-unit { font-size: 11px; color: var(--text-3); }\\n 498| .dtotal-sub { font-size: 10px; color: var(--text-3); margin-top: 2px; }\\n 499|\\n 500| /* ── CONTEXT MENU ───────────────────────────────────── */\\n 501| .ctx-menu {\\n 502| position: fixed; z-index: 900;\\n 503| background: rgba(255,255,255,0.96);\\n 504| backdrop-filter: blur(20px) saturate(1.4);\\n 505| -webkit-backdrop-filter: blur(20px) saturate(1.4);\\n 506| border: 1px solid var(--border);\\n 507| border-radius: 11px;\\n 508| box-shadow: 0 8px 32px rgba(0,0,0,.12), 0 2px 8px rgba(0,0,0,.06);\\n 509| padding: 5px;\\n 510| min-width: 185px;\\n 511| animation: ctx-in .14s cubic-bezier(.34,1.56,.64,1);\\n 512| }\\n 513| @keyframes ctx-in {\\n 514| from { opacity:0; transform: scale(.93) translateY(-5px); }\\n 515| to { opacity:1; transform: scale(1) translateY(0); }\\n 516| }\\n 517| .ctx-item {\\n 518| display: flex; align-items: center; gap: 9px;\\n 519| padding: 8px 11px;\\n 520| border-radius: 7px;\\n 521| cursor: pointer;\\n 522| font-size: 13px; color: var(--text);\\n 523| transition: background .1s ease;\\n 524| }\\n 525| .ctx-item:hover { background: var(--bg); }\\n 526| .ctx-item .ctx-icon { font-size: 14px; flex-shrink: 0; }\\n 527| .ctx-sep { height: 1px; background: var(--border); margin: 4px 0; }\\n 528| .ctx-item.danger { color: #EF4444; }\\n 529| html.dark .ctx-menu { background: rgba(34,32,38,.96); }\\n 530|\\n 531| /* ── FREE-TIME MODAL ────────────────────────────────── */\\n 532| .modal-overlay {\\n 533| position: fixed; inset: 0; z-index: 1000;\\n 534| background: rgba(26,25,23,.22);\\n 535| backdrop-filter: blur(6px);\\n 536| -webkit-backdrop-filter: blur(6px);\\n 537| display: flex; align-items: center; justify-content: center;\\n 538| animation: ov-in .15s ease;\\n 539| }\\n 540| @keyframes ov-in { from { opacity:0; } to { opacity:1; } }\\n 541|\\n 542| .modal {\\n 543| background: var(--card);\\n 544| border-radius: 20px;\\n 545| padding: 30px 34px 26px;\\n 546| box-shadow: 0 20px 60px rgba(0,0,0,.16), 0 4px 16px rgba(0,0,0,.07);\\n 547| width: 320px;\\n 548| animation: modal-in .2s cubic-bezier(.34,1.56,.64,1);\\n 549| }\\n 550| @keyframes modal-in {\\n 551| from { opacity:0; transform: scale(.88); }\\n 552| to { opacity:1; transform: scale(1); }\\n 553| }\\n 554|\\n 555| .modal-title {\\n 556| font-family: 'Lora', serif;\\n 557| font-size: 18px; font-weight: 600;\\n 558| letter-spacing: -0.3px; margin-bottom: 6px;\\n 559| }\\n 560| .modal-sub { font-size: 12px; color: var(--text-3); margin-bottom: 20px; }\\n 561|\\n 562| .modal-input {\\n 563| width: 100%;\\n 564| font-family: 'Lora', serif;\\n 565| font-size: 28px; font-weight: 700;\\n 566| letter-spacing: -0.6px;\\n 567| color: var(--ck-free);\\n 568| border: 2px solid var(--border);\\n 569| border-radius: 10px;\\n 570| padding: 10px 14px;\\n 571| outline: none;\\n 572| text-align: center;\\n 573| background: var(--bg);\\n 574| transition: border-color .18s ease;\\n 575| -moz-appearance: textfield;\\n 576| }\\n 577| .modal-input::-webkit-inner-spin-button,\\n 578| .modal-input::-webkit-outer-spin-button { -webkit-appearance: none; }\\n 579| .modal-input:focus { border-color: var(--ck-free); }\\n 580|\\n 581| .modal-hint { font-size: 11px; color: var(--text-3); text-align: center; margin-top: 8px; }\\n 582|\\n 583| .modal-actions { display: flex; gap: 10px; margin-top: 22px; }\\n 584|\\n 585| .btn {\\n 586| flex: 1; padding: 10px;\\n 587| border-radius: 10px; border: none;\\n 588| font-size: 13px; font-weight: 600;\\n 589| cursor: pointer;\\n 590| transition: opacity .15s ease, transform .15s ease;\\n 591| }\\n 592| .btn:active { transform: scale(.97); }\\n 593| .btn-cancel { background: var(--bg); color: var(--text-2); border: 1.5px solid var(--border); }\\n 594| .btn-confirm { background: var(--ck-free); color: #fff; }\\n 595| .btn-cancel:hover { background: var(--border); }\\n 596| .btn-confirm:hover { background: var(--ck-free-hover); }\\n 597|\\n 598| /* ── ANIMATIONS ─────────────────────────────────────── */\\n 599| @keyframes pop {\\n 600| 0% { transform: scale(1); }\\n 601|\", \"total_lines\": 1793, \"file_size\": 73288, \"truncated\": true, \"hint\": \"Use offset=601 to continue reading (showing 301-600 of 1793 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_105lkd9z" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_043sksvx", "call_id": "call_043sksvx", "response_item_id": "fc_043sksvx", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":300,\"offset\":601,\"path\":\"/media/HDD_1TB/Zeitgeist/zeitgeist.html\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Let me understand the full structure of the Zeitgeist app. I need to find the Anki module section, the card creation/editing logic, and the review/learning flow. Let me continue reading the file to find the JavaScript code and the Anki-specific sections.", "reasoning_content": "Let me understand the full structure of the Zeitgeist app. I need to find the Anki module section, the card creation/editing logic, and the review/learning flow. Let me continue reading the file to find the JavaScript code and the Anki-specific sections." }, { "role": "tool", "content": "{\"content\": \" 601| 40% { transform: scale(1.022); }\\n 602| 100%{ transform: scale(1); }\\n 603| }\\n 604| .do-pop { animation: pop .38s ease; }\\n 605|\\n 606| @keyframes fade-in-up {\\n 607| from { opacity:0; transform: translateY(8px); }\\n 608| to { opacity:1; transform: translateY(0); }\\n 609| }\\n 610| .day-card { animation: fade-in-up .32s ease both; }\\n 611| .day-card:nth-child(1) { animation-delay:.04s; }\\n 612| .day-card:nth-child(2) { animation-delay:.08s; }\\n 613| .day-card:nth-child(3) { animation-delay:.12s; }\\n 614| .day-card:nth-child(4) { animation-delay:.16s; }\\n 615| .day-card:nth-child(n+5){ animation-delay:.19s; }\\n 616|\\n 617| /* ── SCROLLBAR ──────────────────────────────────────── */\\n 618| ::-webkit-scrollbar { width: 8px; height: 8px; }\\n 619| ::-webkit-scrollbar-track { background: transparent; }\\n 620| ::-webkit-scrollbar-thumb {\\n 621| background: var(--border-strong); border-radius: 99px;\\n 622| border: 2px solid transparent; background-clip: padding-box;\\n 623| transition: background .2s;\\n 624| }\\n 625| ::-webkit-scrollbar-thumb:hover { background: var(--text-3); background-clip: padding-box; }\\n 626| * { scrollbar-width: thin; scrollbar-color: var(--border-strong) transparent; }\\n 627|\\n 628| /* ── RESPONSIVE ─────────────────────────────────────── */\\n 629| @media (max-width: 640px) {\\n 630| /* Header: compact — title left, pomo right, stats hidden */\\n 631| .header {\\n 632| height: calc(52px + env(safe-area-inset-top, 0px));\\n 633| padding-top: env(safe-area-inset-top, 0px);\\n 634| padding-left: calc(14px + env(safe-area-inset-left, 0px));\\n 635| padding-right: calc(14px + env(safe-area-inset-right, 0px));\\n 636| justify-content: space-between;\\n 637| }\\n 638| .brand-wordmark { font-size: 17px; }\\n 639| .pomo-wrap {\\n 640| border: none; padding: 0; gap: 8px;\\n 641| }\\n 642| .pomo-display { font-size: 16px; min-width: 44px; }\\n 643| .pomo-sub { display: none; }\\n 644| .header-stats { display: none; }\\n 645| .hstat-mini { display: block; }\\n 646|\\n 647| /* Main */\\n 648| .main { padding: 20px 14px 80px; }\\n 649|\\n 650| /* Intro: stack vertically */\\n 651| .intro {\\n 652| flex-direction: column; align-items: flex-start;\\n 653| gap: 14px; margin-bottom: 24px;\\n 654| }\\n 655| .intro-greeting { font-size: 26px; }\\n 656| .intro-heading { font-size: 14px; }\\n 657| .intro > div:last-child { width: 100%; }\\n 658| .anki-main-btn { flex: 1; font-size: 14px; padding: 11px 16px; justify-content: center; }\\n 659|\\n 660| /* Section */\\n 661| .sec-label { font-size: 9px; }\\n 662|\\n 663| /* Day card: wrap checks below */\\n 664| .day-card { flex-wrap: wrap; padding: 10px 12px; gap: 8px; }\\n 665| .dinfo { min-width: auto; flex: 1; }\\n 666| .dinfo-wd { font-size: 15px; }\\n 667| .dtotal-num { font-size: 18px; }\\n 668| .checks {\\n 669| order: 3; width: 100%; flex: none;\\n 670| display: grid; grid-template-columns: repeat(5, 32px); gap: 6px;\\n 671| }\\n 672| .ck { width: 32px; height: 32px; }\\n 673| .ck svg { width: 12px; height: 12px; }\\n 674|\\n 675| /* Footer */\\n 676| footer { padding: 12px calc(14px + env(safe-area-inset-right,0px)) calc(24px + env(safe-area-inset-bottom,0px)) calc(14px + env(safe-area-inset-left,0px)) !important; }\\n 677| }\\n 678|\\n 679| @media (max-width: 400px) {\\n 680| .brand-wordmark { font-size: 15px; }\\n 681| .checks { grid-template-columns: repeat(5, 28px); gap: 5px; }\\n 682| .ck { width: 28px; height: 28px; }\\n 683| }\\n 684|\\n 685| /* Stats button in intro */\\n 686| .stats-main-btn {\\n 687| flex-shrink: 0;\\n 688| padding: 12px 20px;\\n 689| border-radius: 14px;\\n 690| border: 1.5px solid var(--border);\\n 691| background: var(--card);\\n 692| color: var(--text-2);\\n 693| font-family: system-ui, -apple-system, 'Segoe UI', sans-serif;\\n 694| font-size: 14px; font-weight: 600;\\n 695| cursor: pointer;\\n 696| box-shadow: var(--shadow-sm);\\n 697| transition: all .18s ease;\\n 698| }\\n 699| .stats-main-btn:hover { border-color: var(--border-strong); color: var(--text); }\\n 700|\\n 701| /* Stats page */\\n 702| .stats-back-row {\\n 703| display: flex; align-items: center; gap: 14px;\\n 704| margin-bottom: 32px;\\n 705| }\\n 706| .stats-back-btn {\\n 707| background: none; border: none; cursor: pointer;\\n 708| font-size: 13px; color: var(--text-2); padding: 5px 0;\\n 709| transition: color .15s;\\n 710| }\\n 711| .stats-back-btn:hover { color: var(--text); }\\n 712| .stats-page-title {\\n 713| font-family: 'Lora', serif;\\n 714| font-size: 26px; font-weight: 700; letter-spacing: -0.6px;\\n 715| }\\n 716|\\n 717| .stats-summary {\\n 718| display: grid;\\n 719| grid-template-columns: repeat(4, 1fr);\\n 720| gap: 12px; margin-bottom: 20px;\\n 721| }\\n 722| @media (max-width: 640px) {\\n 723| .stats-summary { grid-template-columns: 1fr 1fr; }\\n 724| .stats-back-row { margin-bottom: 20px; }\\n 725| .stats-page-title { font-size: 20px; }\\n 726| }\\n 727|\\n 728| .stat-tile {\\n 729| background: var(--card); border: 1.5px solid var(--border);\\n 730| border-radius: 14px; padding: 18px 20px; box-shadow: var(--shadow-sm);\\n 731| }\\n 732| .stat-tile-val {\\n 733| font-family: 'Lora', serif; font-size: 30px; font-weight: 700;\\n 734| letter-spacing: -0.8px; line-height: 1; color: var(--text);\\n 735| }\\n 736| .stat-tile-val.g { color: var(--ck-std-hover); }\\n 737| .stat-tile-label { font-size: 10px; color: var(--text-3); text-transform: uppercase; letter-spacing: 0.9px; margin-top: 6px; }\\n 738|\\n 739| /* Heatmap */\\n 740| .hm-box {\\n 741| background: var(--card); border: 1.5px solid var(--border);\\n 742| border-radius: 16px; padding: 22px 24px; box-shadow: var(--shadow-sm);\\n 743| overflow-x: auto; margin-bottom: 16px;\\n 744| }\\n 745| .hm-box-title {\\n 746| font-family: 'Lora', serif; font-size: 14px; font-weight: 600;\\n 747| color: var(--text); margin-bottom: 14px;\\n 748| }\\n 749| .hm-outer { display: flex; gap: 6px; align-items: flex-start; }\\n 750| .hm-day-col { display: flex; flex-direction: column; padding-top: 18px; gap: 3px; }\\n 751| .hm-dlabel { font-size: 9px; color: var(--text-3); height: 13px; line-height: 13px; width: 16px; text-align: right; }\\n 752| .hm-main { display: flex; flex-direction: column; gap: 3px; }\\n 753| .hm-month-strip { display: flex; gap: 3px; height: 14px; }\\n 754| .hm-mlabel { width: 13px; font-size: 9px; color: var(--text-3); white-space: nowrap; overflow: visible; }\\n 755| .hm-row { display: flex; gap: 3px; }\\n 756| .hm-cell { width: 13px; height: 13px; border-radius: 3px; flex-shrink: 0; transition: opacity .15s; cursor: default; }\\n 757| .hm-cell:hover { opacity: .7; }\\n 758| .hm-legend { display: flex; align-items: center; gap: 5px; margin-top: 10px; font-size: 10px; color: var(--text-3); }\\n 759| .hm-leg { width: 11px; height: 11px; border-radius: 2px; }\\n 760|\\n 761| /* Bar chart */\\n 762| .bc-box {\\n 763| background: var(--card); border: 1.5px solid var(--border);\\n 764| border-radius: 16px; padding: 22px 24px; box-shadow: var(--shadow-sm);\\n 765| }\\n 766| .bc-chart { display: flex; align-items: flex-end; gap: 5px; height: 120px; }\\n 767| .bc-col { flex: 1; display: flex; flex-direction: column; align-items: center; height: 100%; justify-content: flex-end; position: relative; }\\n 768| .bc-val { font-size: 9px; color: var(--text-3); margin-bottom: 2px; min-height: 11px; }\\n 769| .bc-bar-wrap { flex: 1; display: flex; align-items: flex-end; width: 100%; }\\n 770| .bc-bar { width: 100%; max-width: 28px; border-radius: 4px 4px 0 0; background: var(--ring-bg); min-height: 3px; transition: background .2s; }\\n 771| .bc-bar.has-data { background: var(--ck-std); }\\n 772| .bc-bar.is-today { background: var(--ck-std-hover); }\\n 773| .bc-label { font-size: 9px; color: var(--text-3); margin-top: 4px; }\\n 774| .bc-label.today-lbl { color: var(--text); font-weight: 700; }\\n 775|\\n 776| /* ── POMODORO ───────────────────────────────────── */\\n 777| .pomo-wrap {\\n 778| display: flex; align-items: center; gap: 11px;\\n 779| padding: 0 22px;\\n 780| }\\n 781| .pomo-time-block { display: flex; flex-direction: column; align-items: center; }\\n 782| .pomo-display {\\n 783| font-family: 'Lora', Georgia, serif;\\n 784| font-size: 20px; font-weight: 600;\\n 785| letter-spacing: 1px; color: var(--text);\\n 786| line-height: 1; min-width: 56px; text-align: center;\\n 787| transition: color .3s ease;\\n 788| }\\n 789| .pomo-display.is-running { color: var(--ck-std-hover); }\\n 790| .pomo-display.is-paused { color: var(--text-2); }\\n 791| .pomo-sub {\\n 792| font-size: 9px; color: var(--text-3);\\n 793| text-transform: uppercase; letter-spacing: 0.9px; margin-top: 2px;\\n 794| }\\n 795| .pomo-controls { display: flex; align-items: center; gap: 6px; }\\n 796| .pomo-btn {\\n 797| width: 30px; height: 30px; border-radius: 50%;\\n 798| border: 1.5px solid var(--border-strong);\\n 799| background: var(--card);\\n 800| color: var(--text); font-size: 11px;\\n 801| cursor: pointer; display: flex; align-items: center; justify-content: center;\\n 802| transition: all .18s ease !important;\\n 803| box-shadow: var(--shadow-sm);\\n 804| flex-shrink: 0;\\n 805| }\\n 806| .pomo-btn:hover:not(:disabled) { background: var(--ck-std); border-color: var(--ck-std); color: #fff; }\\n 807| .pomo-btn.is-active { background: var(--ck-std); border-color: var(--ck-std); color: #fff; }\\n 808| .pomo-stop-btn:hover:not(:disabled) { background: #EF4444; border-color: #EF4444; color: #fff; }\\n 809| .pomo-btn:disabled { opacity: 0.3; cursor: not-allowed; }\\n 810|\\n 811| /* Toast notification */\\n 812| .pomo-toast {\\n 813| position: fixed; bottom: 80px; left: 50%;\\n 814| transform: translateX(-50%) translateY(10px);\\n 815| background: var(--text); color: var(--bg);\\n 816| padding: 10px 22px; border-radius: 99px;\\n 817| font-size: 13px; font-weight: 600; letter-spacing: 0.2px;\\n 818| opacity: 0; transition: all .3s ease;\\n 819| z-index: 9999; pointer-events: none; white-space: nowrap;\\n 820| box-shadow: var(--shadow-md);\\n 821| }\\n 822| .pomo-toast.visible { opacity: 1; transform: translateX(-50%) translateY(0); }\\n 823| \\n 824|\\n 825|\\n 826|\\n 827|
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\\n 878|\\n 879| \\n 880| \\n 675| \\n 2513|\\n 2521|\\n 2522|\\n 2523|\", \"total_lines\": 2522, \"file_size\": 119856, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_mvr3eaf5" }, { "role": "assistant", "content": "Jetzt hab ich den kompletten Code analysiert. Ich delegiere das an Kimi K2.7 Code mit einer präzisen Spec.", "tool_calls": [ { "id": "call_9rb82ey5", "call_id": "call_9rb82ey5", "response_item_id": "fc_9rb82ey5", "type": "function", "function": { "name": "delegate_task", "arguments": "{\"goal\":\"Implementiere eine \\\"Priority\\\"-Funktion für Karteikarten im Anki-Modul der Zeitgeist-App. Die Datei ist /media/HDD_1TB/Zeitgeist/anki.html (Single-File HTML/CSS/JS, 2522 Zeilen).\",\"context\":\"## Datei\\n/media/HDD_1TB/Zeitgeist/anki.html — Single-File App, kein Build-Step. Alle Änderungen direkt in dieser Datei.\\n\\n## Anforderung\\n1. **Priority-Flag**: Beim Erstellen UND Bearbeiten einer Karte soll der User eine \\\"Priority\\\" Checkbox/Toggle sehen. Der Card-Datensatz bekommt ein `priority: true/false` Feld (default: false).\\n\\n2. **Regenbogen-Glow-Bokeh**: Priority-Karten bekommen einen dezenten, schicken animierten Regenbogen-Glow-Hintergrund mit Bokeh-Effekt (weiche, schwebende Lichtpunkte). Dieser Effekt erscheint:\\n - Auf der Karte im Lernmodus (flip-face)\\n - Als subtiler Indikator in der Kartenliste (card-row)\\n - NICHT aufdringlich — dezent und elegant\\n\\n3. **Immer anzeigen**: Priority-Karten werden bei JEDEM Lerndurchgang ganz vorne in die Queue gepackt — unabhängig von dueDate/FSRS-State. Sie erscheinen VOR den learning/review/new Karten.\\n\\n4. **Nur \\\"Gemerkt!\\\" Button**: Für Priority-Karten gibt es im Lernmodus nur EINEN Button: \\\"Gemerkt!\\\". Dieser bewertet die Karte als \\\"Good\\\" (Rating 3) und schiebt sie normal durch FSRS. Keine 4 Buttons, kein Dojo-Modus-Unterschied.\\n\\n## Technische Details\\n\\n### Datenmodell (Zeile ~1208, `newCard` Funktion)\\n- Füge `priority: false` zum Card-Objekt hinzu\\n\\n### Editor (Zeile ~1518, `vEditor` + `saveCard` ~2071)\\n- Füge eine Priority-Checkbox/Toggle unter den Textareas ein\\n- Style: schicker Toggle-Switch, kein langweiliges Checkbox-Häkchen\\n- Label: \\\"Priority\\\" oder \\\"★ Priorität\\\"\\n- Beim Speichern: `card.priority = true/false` aus dem Toggle auslesen\\n- Beim Bearbeiten: Toggle zeigt aktuellen Wert der Karte\\n\\n### Kartenliste (Zeile ~1411, `vCards`)\\n- Priority-Karten bekommen eine CSS-Klasse `is-priority` auf `.card-row`\\n- Der Regenbogen-Bokeh-Effekt auf der card-row: dezenter animierter Rainbow-Gradient + kleine schwebende Bokeh-Kreise (CSS-only, ::before/::after pseudo-elements)\\n- Optional: kleines ★ Icon vor dem Kartentitel\\n\\n### Lern-Queue (Zeile ~1941, `startLearn`)\\n- Priority-Karten werden ZUERST in die Queue gepackt (vor inLearn, reviews, newCards)\\n- `const priorityCards = all.filter(c =\\u003e c.priority);`\\n- Queue = [...priorityCards, ...inLearn, ...reviews, ...newCards]\\n\\n### Lern-View (Zeile ~1596, `vLearn`)\\n- Wenn `card.priority`: \\n - flip-face bekommt CSS-Klasse `is-priority` mit Regenbogen-Bokeh-Hintergrund\\n - Statt der 4 Rating-Buttons nur EIN \\\"Gemerkt!\\\" Button (ruft `rateCard(3)` auf)\\n - Dojo-Modus: ebenfalls nur \\\"Gemerkt!\\\" Button\\n- Wenn NICHT priority: alles bleibt wie bisher\\n\\n### CSS — Regenbogen-Glow-Bokeh\\nOrientiere dich am existierenden Rainbow-Style in zeitgeist.html (Zeilen 305-334):\\n```css\\n@keyframes rainbow-flow {\\n 0% { background-position: 0% 50%; }\\n 50% { background-position: 100% 50%; }\\n 100% { background-position: 0% 50%; }\\n}\\n```\\n\\nFür den Bokeh-Effekt: füge schwebende, halbtransparente Kreise hinzu via `::before` und `::after` pseudo-Elementen mit `border-radius: 50%`, `filter: blur(8px)`, und sanfter Animation.\\n\\n**Wichtig**: Der Effekt muss DEZENT sein — nicht schreiend bunt. Opacity der Bokeh-Kreise bei ~0.15-0.25. Der Rainbow-Gradient mit niedriger Sättigung.\\n\\n### CSS — Priority Toggle\\nEin eleganter Toggle-Switch (wie iOS/macOS Style):\\n- ~50px breit, ~26px hoch\\n- Abgerundet (border-radius: 99px)\\n- Grau wenn aus, Lila/Rainbow-Akzent wenn an\\n- Sanfter Transition\\n\\n## Constraints\\n- Single-File: ALLES in anki.html, keine externen Dateien\\n- Keine Frameworks, kein Build-Step\\n- Dark Mode muss unterstützt werden (html.dark Selektoren)\\n- Mobile-responsive (bestehende @media queries beachten)\\n- Bestehende Funktionalität darf NICHT gebrochen werden\\n- Keine externen Abhängigkeiten hinzufügen\\n\\n## Verifikation\\nNach der Implementierung:\\n1. Prüfe dass `newCard()` `priority: false` enthält\\n2. Prüfe dass der Editor einen Priority-Toggle rendert\\n3. Prüfe dass `saveCard()` das priority-Feld speichert\\n4. Prüfe dass `startLearn()` priority-Karten zuerst in die Queue packt\\n5. Prüfe dass `vLearn()` für priority-Karten nur \\\"Gemerkt!\\\" zeigt\\n6. Prüfe dass CSS-Klassen `.is-priority`, `.priority-toggle` etc. existieren\\n7. Prüfe dass keine Syntax-Fehler im JavaScript existieren (kein `const` ohne Wert, keine undefined references)\\n\\n## Wichtige Zeilen-Referenzen\\n- newCard: ~1208\\n- vEditor: ~1518\\n- saveCard: ~2071\\n- vCards: ~1411\\n- startLearn: ~1941\\n- vLearn: ~1596\\n- rateCard: ~1996\\n- CSS-Ende: ~622 (vor \\u003c/style\\u003e)\\n- bindEditor: ~1793\\n- bindLearn: ~1864\",\"toolsets\":[\"file\",\"terminal\"]}" } } ], "finish_reason": "tool_calls", "reasoning": "Let me analyze the full codebase now. I have the complete `anki.html` file (2522 lines). Let me understand the structure:\n\n1. **CSS** (lines 1-622): Styles for the Anki module\n2. **HTML** (lines 623-672): Header, main app div, footer\n3. **JavaScript** (lines 674-2522): \n - FSRS-4.5 algorithm (lines 676-900)\n - Storage & helpers (lines 905-1193)\n - State management (lines 1217-1240)\n - Icons (lines 1242-1254)\n - Render functions (lines 1256-1705)\n - Event binding (lines 1707-1927)\n - Learn session (lines 1929-2042)\n - Confirm modal (lines 2044-2066)\n - Card CRUD (lines 2068-2108)\n - Deck CRUD (lines 2110-2172)\n - Import (lines 2174-2318)\n - Dark mode, init, pomodoro (lines 2320-2522)\n\nNow, the user wants:\n1. **Priority flag on cards** - When creating or editing a card, user can select a \"priority\" option\n2. **Rainbow glow bokeh background** on priority cards - A subtle, elegant rainbow glow/bokeh effect\n3. **Priority cards shown in EVERY learning session** - Regardless of due date, priority cards are always included\n4. **Only \"Gemerkt!\" button** for priority cards during learning - Simplified rating\n\nLet me plan the changes:\n\n### Changes needed:\n\n**1. Data model (`newCard` function, line 1208):**\n- Add `priority: false` field to card objects\n\n**2. Editor view (`vEditor`, line 1518):**\n- Add a priority toggle/checkbox in the editor form\n- Show it both when creating new cards and editing existing ones\n\n**3. Card list view (`vCards`, line 1411):**\n- Show a visual indicator (rainbow glow) on priority cards in the card list\n- Add a subtle rainbow bokeh background effect\n\n**4. Learn session (`startLearn`, line 1941):**\n- Priority cards are always included in the queue, even if not due\n- They appear at the front of the queue\n\n**5. Learn view (`vLearn`, line 1596):**\n- Priority cards get the rainbow glow bokeh background on the flip card\n- Only show \"Gemerkt!\" button (not the 4 rating buttons) for priority cards\n- \"Gemerkt!\" just marks as reviewed without changing the FSRS state (or uses \"Good\" rating)\n\n**6. CSS additions:**\n- Rainbow bokeh glow animation for priority cards\n- Priority toggle styling in editor\n\nLet me now delegate this to Kimi K2.7 Code.\n\nActually, let me think about the design more carefully:\n\n**Rainbow glow bokeh effect**: The user wants a \"dezentes schickes Regenbogen Glow Bokeh\" - subtle, elegant rainbow glow with bokeh (out-of-focus light points) effect. This should be:\n- A soft, animated rainbow gradient background\n- Possibly with floating bokeh circles/dots\n- Subtle, not overpowering\n- Applied to the card face during learning and as a background indicator in the card list\n\n**Priority in learning**: \n- Priority cards are always queued first\n- They show the rainbow bokeh background\n- Only one button: \"Gemerkt!\" which acts like \"Good\" (rating 3) - marks as remembered, advances the FSRS state normally\n\nLet me write a detailed spec for the sub-agent.\n\nActually, I should look at the existing rainbow animation already in `zeitgeist.html` (lines 305-334) for reference - it has a `rainbow-flow` animation with gradient background. I can adapt that style.\n\nLet me now delegate this to Kimi K2.7 Code with a clear spec.", "reasoning_content": "Let me analyze the full codebase now. I have the complete `anki.html` file (2522 lines). Let me understand the structure:\n\n1. **CSS** (lines 1-622): Styles for the Anki module\n2. **HTML** (lines 623-672): Header, main app div, footer\n3. **JavaScript** (lines 674-2522): \n - FSRS-4.5 algorithm (lines 676-900)\n - Storage & helpers (lines 905-1193)\n - State management (lines 1217-1240)\n - Icons (lines 1242-1254)\n - Render functions (lines 1256-1705)\n - Event binding (lines 1707-1927)\n - Learn session (lines 1929-2042)\n - Confirm modal (lines 2044-2066)\n - Card CRUD (lines 2068-2108)\n - Deck CRUD (lines 2110-2172)\n - Import (lines 2174-2318)\n - Dark mode, init, pomodoro (lines 2320-2522)\n\nNow, the user wants:\n1. **Priority flag on cards** - When creating or editing a card, user can select a \"priority\" option\n2. **Rainbow glow bokeh background** on priority cards - A subtle, elegant rainbow glow/bokeh effect\n3. **Priority cards shown in EVERY learning session** - Regardless of due date, priority cards are always included\n4. **Only \"Gemerkt!\" button** for priority cards during learning - Simplified rating\n\nLet me plan the changes:\n\n### Changes needed:\n\n**1. Data model (`newCard` function, line 1208):**\n- Add `priority: false` field to card objects\n\n**2. Editor view (`vEditor`, line 1518):**\n- Add a priority toggle/checkbox in the editor form\n- Show it both when creating new cards and editing existing ones\n\n**3. Card list view (`vCards`, line 1411):**\n- Show a visual indicator (rainbow glow) on priority cards in the card list\n- Add a subtle rainbow bokeh background effect\n\n**4. Learn session (`startLearn`, line 1941):**\n- Priority cards are always included in the queue, even if not due\n- They appear at the front of the queue\n\n**5. Learn view (`vLearn`, line 1596):**\n- Priority cards get the rainbow glow bokeh background on the flip card\n- Only show \"Gemerkt!\" button (not the 4 rating buttons) for priority cards\n- \"Gemerkt!\" just marks as reviewed without changing the FSRS state (or uses \"Good\" rating)\n\n**6. CSS additions:**\n- Rainbow bokeh glow animation for priority cards\n- Priority toggle styling in editor\n\nLet me now delegate this to Kimi K2.7 Code.\n\nActually, let me think about the design more carefully:\n\n**Rainbow glow bokeh effect**: The user wants a \"dezentes schickes Regenbogen Glow Bokeh\" - subtle, elegant rainbow glow with bokeh (out-of-focus light points) effect. This should be:\n- A soft, animated rainbow gradient background\n- Possibly with floating bokeh circles/dots\n- Subtle, not overpowering\n- Applied to the card face during learning and as a background indicator in the card list\n\n**Priority in learning**: \n- Priority cards are always queued first\n- They show the rainbow bokeh background\n- Only one button: \"Gemerkt!\" which acts like \"Good\" (rating 3) - marks as remembered, advances the FSRS state normally\n\nLet me write a detailed spec for the sub-agent.\n\nActually, I should look at the existing rainbow animation already in `zeitgeist.html` (lines 305-334) for reference - it has a `rainbow-flow` animation with gradient background. I can adapt that style.\n\nLet me now delegate this to Kimi K2.7 Code with a clear spec." }, { "role": "tool", "content": "{\"results\": [{\"task_index\": 0, \"status\": \"completed\", \"summary\": \"Fertig — die Priority-Funktion wurde vollständig in `/media/HDD_1TB/Zeitgeist/anki.html` implementiert.\\n\\n**Was umgesetzt wurde:**\\n\\n1. **Datenmodell** — `newCard()` liefert jetzt `priority: false`.\\n2. **Editor** — Unter den Textareas gibt es einen iOS-style Toggle “★ Priority”, der beim Bearbeiten den aktuellen Wert anzeigt.\\n3. **Speichern** — `saveCard()` liest `#f-priority` und schreibt `priority: true/false` in die Karte.\\n4. **Kartenliste** — Priority-Karten bekommen `.is-priority`, einen dezenten animierten Rainbow-Glow + Bokeh-Kreis und ein ★-Icon vor dem Titel.\\n5. **Lern-Queue** — In `startLearn()` und `startDojo()` werden Priority-Karten unabhängig von dueDate/FSRS an allererster Stelle in die Queue gepackt.\\n6. **Lern-View** — Priority-Karten zeigen den Rainbow-Bokeh-Glow auf Vorder- und Rückseite, im Label “★ Priority”, und statt 4 Buttons nur einen “Gemerkt!”-Button, der `rateCard(3)` aufruft. Tastatur-Shortcuts wurden entsprechend angepasst.\\n7. **CSS** — `.priority-toggle-*` Styles, `.is-priority` Rainbow-Gradient + schwebende Bokeh-Kreise via `::before`/`::after`, Dark-Mode-Varianten und mobile Anpassung.\\n\\n**Datei(en) geändert:**\\n- `/media/HDD_1TB/Zeitgeist/anki.html` (Single-File, keine externen Abhängigkeiten)\\n\\n**Hinweis zum Verifikations-Schritt:**\\nDie automatische JS-Syntax-Prüfung über einen naiven HTML→JS-Extraktion hat bei den tief verschachtelten, mehrzeiligen Template-Literals einen scheinbaren Fehler gemeldet. Der gleiche Code-Block isoliert und mit Testwerten belegt war syntaktisch valide; es handelte sich um ein Artefakt des Extraktionswerkzeugs, nicht um einen echten Syntaxfehler in der Datei. Die App-Funktionalität ist nicht gebrochen.\\n\\n[NOTE: subagent modified files the parent previously read — re-read before editing: /media/HDD_1TB/Zeitgeist/anki.html]\", \"api_calls\": 50, \"duration_seconds\": 254.28, \"model\": \"kimi-k2.7-code\", \"exit_reason\": \"max_iterations\", \"tokens\": {\"input\": 3578594, \"output\": 20446}, \"tool_trace\": [{\"tool\": \"read_file\", \"args_bytes\": 68, \"result_bytes\": 42622, \"status\": \"ok\"}, {\"tool\": \"read_file\", \"args_bytes\": 70, \"result_bytes\": 42859, \"status\": \"ok\"}, {\"tool\": \"read_file\", \"args_bytes\": 71, \"result_bytes\": 41186, \"status\": \"ok\"}, {\"tool\": \"read_file\", \"args_bytes\": 71, \"result_bytes\": 11511, \"status\": \"ok\"}, {\"tool\": \"patch\", \"args_bytes\": 806, \"result_bytes\": 904, \"status\": \"ok\"}, {\"tool\": \"patch\", \"args_bytes\": 5639, \"result_bytes\": 2648, \"status\": \"ok\"}, {\"tool\": \"patch\", \"args_bytes\": 2343, \"result_bytes\": 1123, \"status\": \"ok\"}, 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\"read_file\", \"args_bytes\": 70, \"result_bytes\": 5015, \"status\": \"ok\"}, {\"tool\": \"read_file\", \"args_bytes\": 70, \"result_bytes\": 4772, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 587, \"result_bytes\": 577, \"status\": \"ok\"}, {\"tool\": \"read_file\", \"args_bytes\": 53, \"result_bytes\": 1815, \"status\": \"ok\"}, {\"tool\": \"read_file\", \"args_bytes\": 70, \"result_bytes\": 1342, \"status\": \"ok\"}, {\"tool\": \"read_file\", \"args_bytes\": 70, \"result_bytes\": 628, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 186, \"result_bytes\": 888, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 93, \"result_bytes\": 47, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 500, \"result_bytes\": 514, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 356, \"result_bytes\": 404, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 202, \"result_bytes\": 525, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 335, \"result_bytes\": 4533, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 2440, \"result_bytes\": 559, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 128, \"result_bytes\": 46, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 2456, \"result_bytes\": 559, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 561, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 2515, \"result_bytes\": 400, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 239, \"result_bytes\": 287, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 399, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 297, \"result_bytes\": 1076, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 423, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 531, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 2515, \"result_bytes\": 400, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 367, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 491, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 489, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 84, \"result_bytes\": 91, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 343, \"result_bytes\": 141, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 743, \"result_bytes\": 180, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 281, \"result_bytes\": 488, \"status\": \"ok\"}, {\"tool\": \"terminal\", \"args_bytes\": 1558, \"result_bytes\": 45, \"status\": \"error\"}, {\"tool\": \"terminal\", \"args_bytes\": 2348, \"result_bytes\": 45, \"status\": \"error\"}]}], \"total_duration_seconds\": 254.37}", "tool_call_id": "call_9rb82ey5" }, { "role": "assistant", "content": "Der Subagent ist fertig. Lass mich die kritischen Stellen kurz verifizieren, bevor ich dir Bescheid gebe.", "tool_calls": [ { "id": "call_vevlqsrp", "call_id": "call_vevlqsrp", "response_item_id": "fc_vevlqsrp", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"priority\",\"path\":\"/media/HDD_1TB/Zeitgeist\",\"target\":\"content\",\"file_glob\":\"anki.html\",\"output_mode\":\"content\",\"limit\":40}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Subagent hat die Priority-Funktion implementiert. Allerdings gab es einige Syntax-Prüfungs-Fehler, die der Subagent als \"Artefakt des Extraktionswerkzeugs\" bezeichnet hat. Ich sollte die Datei überprüfen, um sicherzustellen, dass alles korrekt ist. Lass mich die kritischen Stellen checken.\n\nIch sollte:\n1. Die Datei auf offensichtliche Syntax-Fehler prüfen\n2. Die wichtigsten Änderungen verifizieren (newCard, vEditor, saveCard, startLearn, vLearn, CSS)\n3. Dem Boss eine Zusammenfassung geben\n\nLass mich die Datei an den kritischen Stellen lesen.", "reasoning_content": "Der Subagent hat die Priority-Funktion implementiert. Allerdings gab es einige Syntax-Prüfungs-Fehler, die der Subagent als \"Artefakt des Extraktionswerkzeugs\" bezeichnet hat. Ich sollte die Datei überprüfen, um sicherzustellen, dass alles korrekt ist. Lass mich die kritischen Stellen checken.\n\nIch sollte:\n1. Die Datei auf offensichtliche Syntax-Fehler prüfen\n2. Die wichtigsten Änderungen verifizieren (newCard, vEditor, saveCard, startLearn, vLearn, CSS)\n3. Dem Boss eine Zusammenfassung geben\n\nLass mich die Datei an den kritischen Stellen lesen." }, { "role": "tool", "content": "{\"total_count\": 40, \"matches\": [{\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 623, \"content\": \" .priority-toggle-wrap {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 627, \"content\": \" .priority-toggle-label {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 632, \"content\": \" .priority-toggle-label svg { color:var(--text-3); transition:color .2s; }\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 633, \"content\": \" .priority-toggle-input { position:absolute; opacity:0; width:0; height:0; }\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 634, \"content\": \" .priority-toggle {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 640, \"content\": \" .priority-toggle-knob {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 647, \"content\": \" .priority-toggle-input:checked + .priority-toggle {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 651, \"content\": \" html.dark .priority-toggle-input:checked + .priority-toggle {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 654, \"content\": \" .priority-toggle-input:checked + .priority-toggle .priority-toggle-knob {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 657, \"content\": \" .priority-toggle-input:focus-visible + .priority-toggle {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 661, \"content\": \" .priority-toggle-wrap:hover .priority-toggle-label,\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 662, \"content\": \" .priority-toggle-input:checked ~ .priority-toggle-label { color:var(--text); }\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 663, \"content\": \" .priority-toggle-input:checked ~ .priority-toggle-label svg { color:#F59E0B; }\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 681, \"content\": \" /* Card row subtle priority indicator */\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 682, \"content\": \" .card-row.is-priority {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 686, \"content\": \" .card-row.is-priority::before {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 693, \"content\": \" .card-row.is-priority::after {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 702, \"content\": \" .card-row.is-priority > * { position:relative; z-index:1; }\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 703, \"content\": \" .card-row-priority-icon {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 708, \"content\": \" /* Learn view priority glow on flip-face */\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 709, \"content\": \" .flip-face.is-priority {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 713, \"content\": \" .flip-face.is-priority::before {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 722, \"content\": \" .flip-face.is-priority::after {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 731, \"content\": \" .flip-face.is-priority > * { position:relative; z-index:1; }\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 732, \"content\": \" .flip-face.back.is-priority {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 735, \"content\": \" html.dark .flip-face.back.is-priority {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 738, \"content\": \" html.dark .flip-face.is-priority::before {\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 743, \"content\": \" .flip-face.is-priority::after { width:110px; height:110px; right:-30px; top:-30px; }\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 1338, \"content\": \" priority: false,\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 1579, \"content\": \"
${card.priority ? '★ ' : ''}${esc(stripMd(card.front))}
\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 1643, \"content\": \" const priorityToggleHtml = (checked) => `\"}, {\"path\": \"/media/HDD_1TB/Zeitgeist/anki.html\", \"line\": 1644, \"content\": \"