{ "session_id": "20260523_151034_c58643", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-23T15:10:34.383246", "last_updated": "2026-05-23T15:11:38.119229", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [85% — 1,874/2,200 chars]\n══════════════════════════════════════════════\nGateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\n§\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nPrintVault: /media/HDD_1TB/PrintVault/, port 3001, rebuild on code changes. NEVER delete .py files from hermes-agent/ — triggers ModuleNotFoundError cascade. Recover with `git restore .`.\n§\nZimaOS 3D-CAD: trimesh+manifold3d (venv /DATA/AppData/hermes/venv). CadQuery blocked (no libGL). np.ptp(arr) not arr.ptp(). 3MF needs networkx. Output: projects/3d/. Docker build: sudo chown az-a:docker /tmp/docker-config, DOCKER_CONFIG=/tmp/docker-config docker build --no-cache. Source changes → rmi image → rebuild.\n§\nAhmed uses Ollama Cloud Pro ($20/mo, NOT local Ollama). Base URL: https://ollama.com/v1. 3 concurrent model limit. Setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary + CCR coding), gemma3:4b (vision). Never add 4th model (404).\n§\nKiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \"SCHEDULE\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: check TELEGRAM_BOT_TOKEN + TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, gateway section in /DATA/AppData/hermes/config.yaml, stale PID/lock in /DATA/AppData/hermes/.\n§\nGoogle Workspace OAuth ready: GAPI=python3 /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py. Token at /DATA/.hermes/google_token.json. Gmail: ahmed.aytac@gmail.com. All scopes granted.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nUser wants YOLO mode permanently on — `approvals.mode: off` set in config.yaml. Never ask for command approval; just execute. (Doesn't override hardline blocklist: reboot, shutdown still blocked.)\n§\nUser wants responses without any header/separator lines (\"Text überhalb von den Linien\"). Clean, direct messages only.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Saturday, May 23, 2026 03:11 PM\nModel: deepseek-v4-pro\nProvider: custom\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.", "tools": [ { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } } ], "message_count": 11, "messages": [ { "role": "user", "content": "[The user sent a document: '2025-02-11_polizze.pdf'. The file is saved at: /DATA/.hermes/cache/documents/doc_e4f4914cd4ff_2025-02-11_polizze.pdf. Ask the user what they'd like you to do with it.]\n\nBitte genau und aufmerksam lesen: wie bin ich hier geschützt?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_dhr2xvmd", "call_id": "call_dhr2xvmd", "response_item_id": "fc_dhr2xvmd", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"ocr-and-documents\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The user is asking me to read their insurance policy document (Polizze) and explain how they're protected/covered. Let me load the OCR skill first since this is a PDF document, then read it carefully.", "reasoning_content": "The user is asking me to read their insurance policy document (Polizze) and explain how they're protected/covered. Let me load the OCR skill first since this is a PDF document, then read it carefully." }, { "role": "tool", "content": "[skill_view] name=ocr-and-documents (7,117 chars)", "tool_call_id": "call_dhr2xvmd" }, { "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\"Ok App ist da, sie ist aber total hässlich. Schau die meine App Zeitgeist an und orienteire dich daran und designe sie schön um! Nutze CCR\" — CCR (Claude Code Router) konnte nicht gestartet werden (EACCES auf `/DATA/.claude.json`), daher wurde begonnen, das Design von Zeitgeist manuell zu analysieren und `frontend/index.html` im gleichen warmen Editorial-Stil umzuschreiben.\n\n## Goal\nCallKeep (Beziehungs-Tracker) als Docker-App auf ZimaOS/CasaOS betreiben und das Frontend optisch an die bestehende Zeitgeist-App (warm, serif, clean, keine Glassmorphism) anpassen.\n\n## Constraints & Preferences\n- **Designsprache Zeitgeist**: Warmes Off-White `#F6F5F1` (Light) / `#18171A` (Dark); Cards weiß `#FFFFFF` mit Border `#E9E6DE`, Radius `14px`, Schatten `0 1px 3px rgba(26,25,23,.07)`\n- **Typografie**: Headlines in Google-Font `Lora` (serif), UI-Text in `system-ui, -apple-system, 'Segoe UI'`\n- **Akzente**: Emerald `#22C55E` (Standard) und Indigo/Violet `#8B5CF6` (nicht blau/glass)\n- **Dark Mode**: Klasse `html.dark`, persistiert in `localStorage`\n- **Buttons**: Pill-Form (`border-radius: 99px`), `1.5px` Borders, subtile Hover-Effekte\n- **Header**: Sticky mit `backdrop-blur(28px)` auf halbtransparentem warmen Hintergrund, `calc(62px + env(safe-area-inset-top))`\n- **Mobile-First**, Safe-Area-Insets, kein radialer Verlauf, kein Glassmorphism-Blue\n- **CasaOS-Integration**: `x-casaos` im Compose, iframe-fähig mit CSP-Headern, `X-Frame-Options: ALLOWALL`\n- **Dateipfade**: Projekt unter `/media/HDD_1TB/CallKeep/`; Zeitgeist-Referenz unter `/media/HDD 1TB/Zeitgeist/zeitgeist.html` (Leerzeichen im Pfad)\n\n## Completed Actions\n1. **todo init** — Aufgabenliste mit 4 Items erstellt [tool: todo]\n2. **backend write** — `main.py` bereits vorher von Claude Code erstellt (FastAPI + SQLite) [tool: skill_view]\n3. **dockerfile + icon erstellen** — `Dockerfile` und `icon.svg` via Claude Code generiert [tool: delegate_task]\n4. **frontend/index.html schreiben** — 26.096 Bytes HTML/CSS/JS geschrieben nach `/media/HDD_1TB/CallKeep/frontend/index.html` [tool: write_file]\n5. **StaticFiles fix** — `icon.svg` in `frontend/` kopiert, da StaticFiles nur dieses Verzeichnis serviert; `main.py` nachträglich gepatcht [tool: patch, terminal]\n6. **API-Routen fix** — StaticFiles-Mount ans Ende von `main.py` verschoben, damit API-Endpoints nicht überschattet werden [tool: patch]\n7. **CSP-Middleware** — `allow_iframe_csp` Middleware in `main.py` eingefügt, liefert `X-Frame-Options: ALLOWALL` und `Content-Security-Policy: frame-ancestors 'self' http://*:* https://*:*;` [tool: patch]\n8. **Erster Docker-Build** — `docker build --no-cache -t callkeep` erfolgreich, Port 3002 [tool: terminal]\n9. **CasaOS manueller JSON-Fail** — Versuch, App via `/etc/casaos/app-management.json` manuell als `v2app` einzutragen; Tile war nicht anklickbar (Legacy-Import-Dialog erschien) [tool: terminal]\n10. **Pattern B (Compose)** — Auf Compose-Deployment umgestellt: `docker-compose.yml` mit `x-casaos` nach `/var/lib/casaos/apps/callkeep/` geschrieben; `zimaos-app-management` gestoppt, alte Einträge entfernt, Compose-Build und `docker compose up -d` ausgeführt [tool: terminal, write_file]\n11. **CasaOS-Registrierung erfolgreich** — CallKeep erscheint nun in der API unter `v2/app_management/apps` (installed), Gateway neugestartet [tool: terminal]\n12. **Zeitgeist-Designanalyse** — `zeitgeist.html` (67 KB, 1665 Zeilen) angelesen: Zeilen 1–200 (Header/Variablen/Intro), 200–300 (Stats/Buttons/Cards), 380–680 (Checks/Totals/Context-Menu/Stat-Tiles/Heatmap/Bar-Chart/Pomodoro), 680–1179 (Stat-Tile-Values/Heatmap-Zellen/Balkendiagramm/Pomodoro-Controls/JS-Render-Logik) [tool: read_file]\n\n## Active State\n- **Container**: `CallKeep` läuft, Image `callkeep-callkeep`, Port `3002`, Netzwerk `bridge`, Volume `/media/HDD_1TB/CallKeep:/data`\n- **Compose**: `/var/lib/casaos/apps/callkeep/docker-compose.yml` (535 Bytes) mit `x-casaos`\n- **CasaOS**: App in API als installed gelistet (`callkeep`), Gateway läuft, Tile sollte klickbar sein\n- **Backend**: `main.py` gepatcht mit CSP + StaticFiles-Mount am Ende der Datei\n- **Frontend**: `/media/HDD_1TB/CallKeep/frontend/index.html` besteht (26.096 Bytes), muss komplett neu gestaltet werden\n- **Referenz-Read**: Zeitgeist-HTML analysiert bis Zeile ~1179; verbleibende Zeilen 1180–1665 enthalten weiteres JS/Rendering sowie möglicherweise Footer/Modal-Styles\n- **CCR**: Nicht nutzbar; Service `ccr start` scheitert mit `EACCES: permission denied, open '/DATA/.claude.json'`\n- **Docker-Config-Hack**: `DOCKER_CONFIG=/tmp/docker-config` wird bei Builds benötigt; `az-a` ist in Gruppen `wheel docker samba`\n\n## In Progress\nManuelles Redesign von `/media/HDD_1TB/CallKeep/frontend/index.html` im Zeitgeist-Stil. Aktuell: Analyse der Referenz-HTML (`zeitgeist.html`). Nächster Schritt: Entweder Rest der Datei zu Ende lesen oder mit dem Schreiben des neuen Frontends beginnen (HTML-Grundgerüst mit CSS-Variablen, Lora-Font, Card-Layout, Dark-Mode-Toggle, dann JS-Funktionen für Dashboard/API).\n\n## Blocked\n- **CCR nicht verfügbar**: `ccr start` → `EACCES: permission denied, open '/DATA/.claude.json'`. Kein Blocker für den manuellen Weg, aber automatisiertes Refactoring durch CCR unmöglich.\n- **Kein anderer Blocker** — Container läuft, CasaOS-Integration steht.\n\n## Key Decisions\n1. **Pattern B statt manuellem JSON**: CasaOS erkennt Compose-Apps mit `x-casaos` korrekt als `v2app` und erstellt selbst den richtigen Dashboard-Eintrag; manuelles Editieren von `/etc/casaos/app-management.json` führt zu nicht-klickbaren Legacy-Import-Dialogen.\n2. **StaticFiles nach API-Routen**: FastAPI `app.mount(\"/\", StaticFiles(...), name=\"frontend\")` muss am Ende der Datei stehen, sonst werden `/api/*` Requests blockiert.\n3. **Icon in frontend/**: `icon.svg` liegt zusätzlich in `frontend/icon.svg`, weil der StaticFiles-Mount nur dieses Verzeichnis exponiert.\n4. **CSP für CasaOS iframe**: CasaOS öffnet Apps im iframe; ohne `frame-ancestors` und `X-Frame-Options` bleibt die App weiß/blank.\n\n## Resolved Questions\n- **Warum war CallKeep nicht anklickbar?** — CasaOS braucht einen validen `v2app`-Eintrag mit `port`, `scheme`, `hostname`, `index`, `icon`; ein leerer `container`-Type-Eintrag erzeugt nur den Import-Dialog, keine direkte Verlinkung. Gelöst durch Docker-Compose mit `x-casaos`.\n- **Warum lieferte `/icon.svg` 500?** — `main.py` hatte keine StaticFiles-Route. Gelöst durch Mount + Kopieren der Datei in `frontend/`.\n- **Welcher Port/Host für CasaOS-Icon?** — `http://192.168.178.171:3002/icon.svg` (interne IP des Hosts).\n\n## Pending User Asks\nNone. Die Design-Anfrage ist das aktive, offene To-Do.\n\n## Relevant Files\n- `/media/HDD_1TB/CallKeep/main.py` — FastAPI-Backend; enthält mittlerweile CSP-Middleware und StaticFiles-Mount am Ende\n- `/media/HDD_1TB/CallKeep/frontend/index.html` — Aktuelles Frontend (26.096 Bytes, funktional, optisch unansehnlich)\n- `/media/HDD_1TB/CallKeep/frontend/icon.svg` — App-Icon (auch im Docker-Image enthalten)\n- `/media/HDD_1TB/CallKeep/Dockerfile` — Build-Konfiguration\n- `/var/lib/casaos/apps/callkeep/docker-compose.yml` — CasaOS Compose-Deployment mit `x-casaos`\n- `/media/HDD 1TB/Zeitgeist/zeitgeist.html` — Design-Referenz (67 KB, 1665 Zeilen), gelesen bis Zeile ~1179\n\n## Remaining Work\n- Restliches Zeitgeist-HTML ggf. zu Ende lesen (ab Zeile 1180; JS-Render-Logik, Modals, Footer)\n- Neues `frontend/index.html` schreiben im Zeitgeist-Stil mit:\n - CSS-Custom-Properties (`:root` + `html.dark`)\n - Lora-Serif + System-Font-Stack\n - Header (sticky, blur), Intro-Greeting, Section-Cards\n - Dashboard-View: Kontakte nach \"überfällig\"/\"bald\"/\"ok\" sortiert\n - Dark-Mode-Toggle (localStorage)\n - Pill-Buttons für Aktionen\n - Mobile-First Layout (max-width, safe-area)\n- Docker-Image neu bilden (`docker compose build` im Verzeichnis `/var/lib/casaos/apps/callkeep/`)\n- Container neu starten (`docker compose up -d`)\n- Kurze Smoke-Tests: `curl -s http://localhost:3002/`, `curl -s http://localhost:3002/api/dashboard`\n\n## Critical Context\n- **Host-IP für Icon/URL**: `192.168.178.171:3002`\n- **CasaOS Label im Container**: `casaos.title=\"CallKeep\"`, `casaos.description=\"Beziehungs-Tracker — vergiss nie wieder einen Anruf\"`, `casaos.icon=\"http://192.168.178.171:3002/icon.svg\"`, Kategorie `Utilities`\n- **Docker Compose Build-Kontext**: `context: /media/HDD_1TB/CallKeep` im Compose-File; Build-Ergebnis heißt `callkeep-callkeep`\n- **Volume-Mount**: Host-Pfad `/media/HDD_1TB/CallKeep` wird in Container nach `/data` gemountet; SQLite-DB liegt dort als `callkeep.db`\n- **Env-Variablen im Container**: `PORT=3002`, `DATA_DIR=/data`\n- **Docker-Config-Workaround**: `DOCKER_CONFIG=/tmp/docker-config` setzen (ggf. via `sudo bash -c 'export ...'`), da `sudo` die Umgebungsvariable sonst nicht an `docker`-Command weitergibt\n- **Pfad mit Leerzeichen**: Zeitgeist-Referenz liegt unter `/media/HDD 1TB/Zeitgeist/zeitgeist.html` — bei file/terminal-Aufrufen Pfad korrekt quoten\n- **Gateway-Service**: `zimaos-gateway` muss nach Compose-Changes mit `sudo systemctl restart zimaos-gateway` neu gestartet werden" }, { "role": "user", "content": "You just executed tool calls but returned an empty response. Please process the tool results above and continue with the task." }, { "role": "assistant", "content": "(empty)", "reasoning": null, "finish_reason": "stop" }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act." }, { "role": "user", "content": "[Your active task list was preserved across context compression]\n- [ ] 6. Build Docker image (pending)\n- [ ] 7. Deploy container with docker run + CasaOS labels (pending)" }, { "role": "assistant", "content": "Lass mich die Polizze erstmal auslesen.", "reasoning": "Let me assess what happened in this conversation. The user sent a German insurance policy PDF (Polizze) and asked me to read it carefully and tell them how they're protected/covered. I loaded the OCR skill. Then there's a massive context compaction summary about a completely different project (CallKeep app for ZimaOS). The active task from the compaction is about building/deploying CallKeep. But the user's current message is about the insurance policy.\n\nLet me focus on the actual user request: they want me to read the PDF and explain their insurance coverage. I need to extract text from the PDF first.\n\nLet me use the OCR skill to extract text from the PDF.", "finish_reason": "tool_calls", "reasoning_content": "Let me assess what happened in this conversation. The user sent a German insurance policy PDF (Polizze) and asked me to read it carefully and tell them how they're protected/covered. I loaded the OCR skill. Then there's a massive context compaction summary about a completely different project (CallKeep app for ZimaOS). The active task from the compaction is about building/deploying CallKeep. But the user's current message is about the insurance policy.\n\nLet me focus on the actual user request: they want me to read the PDF and explain their insurance coverage. I need to extract text from the PDF first.\n\nLet me use the OCR skill to extract text from the PDF.", "tool_calls": [ { "id": "call_3pkksg3v", "call_id": "call_3pkksg3v", "response_item_id": "fc_3pkksg3v", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"cd /DATA/.hermes/cache/documents \\u0026\\u0026 python3 -c \\\"\\nimport pymupdf\\ndoc = pymupdf.open('doc_e4f4914cd4ff_2025-02-11_polizze.pdf')\\nfor i, page in enumerate(doc):\\n text = page.get_text()\\n print(f'=== SEITE {i+1} ===')\\n print(text)\\n print()\\n\\\"\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "tool_call_id": "call_3pkksg3v", "content": "Tool 'terminal' does not exist. Available tools: memory, skill_manage, skill_view, skills_list" }, { "role": "assistant", "content": "Ich kann das PDF leider nicht auslesen — mir stehen gerade nur Memory- und Skill-Tools zur Verfügung, kein Dateizugriff oder Terminal. Die üblichen Analyse-Tools (PyMuPDF, OCR etc.) sind in dieser Session nicht geladen.\n\nDu kannst mir aber den **Text der Polizze hier reinpasten**, dann lese ich ihn genau durch und sag dir, wie du versichert bist.", "reasoning": "Wait, I don't have access to `terminal` or `read_file` tools. I only have `memory`, `skill_manage`, `skill_view`, and `skills_list`. That's very limited. Let me think about what I can do.\n\nThe user sent me a PDF (\"Polizze\" - an insurance policy) and asked me to read it carefully and tell them how they are protected (\"wie bin ich hier geschützt?\").\n\nBut I don't have the ability to read files, execute terminal commands, or access the file system. I only have memory and skill management tools.\n\nLet me be direct with the user about this limitation. I can't read the PDF with only these tools available.\n\nWait, let me re-read my available tools... The system prompt says I have \"a set of tools\" and then lists them. It seems I only have these 4 tools. No terminal, no read_file, no web_search.\n\nI should tell the user I can't process the PDF with my current tools and suggest alternatives.", "finish_reason": "stop", "reasoning_content": "Wait, I don't have access to `terminal` or `read_file` tools. I only have `memory`, `skill_manage`, `skill_view`, and `skills_list`. That's very limited. Let me think about what I can do.\n\nThe user sent me a PDF (\"Polizze\" - an insurance policy) and asked me to read it carefully and tell them how they are protected (\"wie bin ich hier geschützt?\").\n\nBut I don't have the ability to read files, execute terminal commands, or access the file system. I only have memory and skill management tools.\n\nLet me be direct with the user about this limitation. I can't read the PDF with only these tools available.\n\nWait, let me re-read my available tools... The system prompt says I have \"a set of tools\" and then lists them. It seems I only have these 4 tools. No terminal, no read_file, no web_search.\n\nI should tell the user I can't process the PDF with my current tools and suggest alternatives." } ] }