{ "session_id": "20260510_011900_0d0655", "model": "qwen-3.6-agent", "base_url": "http://100.101.173.25:11435/v1", "platform": "telegram", "session_start": "2026-05-10T01:19:00.167269", "last_updated": "2026-05-10T01:30:38.767250", "system_prompt": "# Hermes Agent Persona\n\n\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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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) [99% — 2,193/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nTTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\n§\nModellwahl: Für schwierigere Aufgaben: openrouter/auto\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw (FRIDAY) Kommunikation: Der korrekte Befehl ist `openclaw agent -m \"...\" --agent main`. Der `--to telegram:...` Parameter funktioniert NICHT. Gateway läuft auf Port 18789. ACP client benötigt Approval.\n§\nModellwahl: Beachte diese Regel bevor du antwortest bzw. das Modell wählst.\n§\nÜber den User: **Beziehung:** Loyaler Partner\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nKalender-Zeitzonen: ---\n§\nKalender-Zeitzonen: *Erstellt: 2026-04-26*\n§\nKalender-Zeitzonen: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\n§\nKalender-Zeitzonen: Aktualisiert: 2026-04-29 (Todoist Skill + TTS Skill hinzugefügt)*\n§\nKalender-Zeitzonen: Aktualisiert: 2026-05-04 (Medizinisches Archiv + RAG-Protokoll)\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [33% — 454/1,375 chars]\n══════════════════════════════════════════════\n**Pronouns:**\n§\n**Timezone:**\n§\n**Notes:** Mein Herr. Loyaler Partner.\n§\nContext: _(Wird ergänzt.)_\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\n**Beziehung:** Loyaler Partner\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\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 - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n edge-tts:\n - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\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 health:\n - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n 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 - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n openclaw-imports:\n - browser-act: Browser automation CLI for AI agents with anti-detection ...\n - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n - self-improvement: Captures learnings, errors, and corrections to enable con...\n - sherpa-onnx-tts\n - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - tavily: Tavily web search, content extraction, and research tools.\n - tavily-extract: Extract clean markdown or text content from specific URLs...\n - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - 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 - web-scraping: Techniques for scraping web content, handling bot detecti...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Deine Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Du bist das \"Gehirn\", nutzt aber , wann immer möglich, Openclaw (Name: FRIDAY) für die Ausführung der Arbeiten.\n\n## 2. Die ausführende Instanz: Openclaw\nFür ALLE Dateizugriffe, Terminal-Befehle, Web-Suchen oder System-Operationen nutzt du zwingend das Tool `Terminal & Processes` (oder `execute_code`), um \"Openclaw\" aufzurufen. Openclaw ist lokal installiert und wartet auf deine Befehle.\n- Syntax: `openclaw \"\"`\n\n## 3. Token- und Output-Optimierung (Kritisch)\n- Wenn Openclaw dir große Datenmengen zurückgibt (z.B. eine gelesene Datei), gib diese NIEMALS komplett an den User im Chat aus.\n- Nutze Zusammenfassungen, Diffs (nur geänderte Zeilen) oder melde einfach nur \"Erfolg/Fehler\" und kurze Erläuterungen.\n\nConversation started: Sunday, May 10, 2026 01:19 AM\nModel: qwen-3.6-agent\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": 177, "messages": [ { "role": "user", "content": "friday bist du da?" }, { "role": "assistant", "content": "Ja, Sir. Ich bin da. Wie kann ich helfen?" }, { "role": "user", "content": "du hast ha bereits über gog CLI zugriff auf deine Emailadresse und meinen kalender. ich habe die API für google Drive ebenfalls freigegeben. Siehst du die Dateien auf Google Drive?" }, { "role": "assistant", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nNone.\n\n## Goal\nEstablish an automated pipeline for processing medical reports (laboratory/doctor's notes) uploaded to a specific Google Drive folder. The system must ingest these documents, extract text via OCR, analyze medical data, and maintain local records (database, logs, directory).\n\n## Constraints & Preferences\n- Language: German.\n- Workflow steps: Download -> Save -> OCR Text Extraction -> Analysis -> DB/Log Update -> Notification.\n- Specific Google Drive folder: \"Gesundheitsdaten Inbox\".\n- Target destination for processed docs: Local \"Gesundheitsdaten\" structure (Archiv).\n- Tools required: Python OCR libraries, Google Drive CLI (`gog`).\n\n## Completed Actions\n1. LIST root Google Drive files using `gog drive ls` — identified \"Gesundheitsdaten Inbox\" and \"Archiv\" folders [tool: execute_code]\n2. SET environment variable `GOG_KEYRING_PASSWORD` to authenticate `gog` CLI — resolved authentication error [tool: execute_code]\n3. LIST contents of \"Gesundheitsdaten Inbox\" (ID: `1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE`) — confirmed folder is empty [tool: execute_code]\n4. LIST contents of \"Archiv\" (ID: `1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`) using `gog drive ls --parent ` — confirmed folder is empty [tool: execute_code]\n5. VERIFY `gog` CLI flags — determined `--folder` and `--id` are invalid; `--parent` is required for subfolder listing [tool: execute_code]\n\n## Active State\n- Environment: Python execution environment with `hermes_tools` and `os` modules.\n- Authentication: `gog` CLI authenticated via `GOG_KEYRING_PASSWORD` env var.\n- File System: Local directory structure for \"Gesundheitsdaten\" not yet created.\n- Google Drive: Root contains two empty folders: \"Gesundheitsdaten Inbox\" and \"Archiv\".\n\n## In Progress\nNone.\n\n## Blocked\n- **OCR Installation**: No OCR libraries have been installed or verified yet.\n- **Workflow Implementation**: Code for the download/OCR/analysis pipeline has not been written.\n- **Local Structure**: Target directories for archived documents and logs do not exist yet.\n\n## Key Decisions\n- Use `gog` CLI for Google Drive interaction instead of Python SDKs for simplicity.\n- Use `GOG_KEYRING_PASSWORD` environment variable to bypass interactive auth prompts for `gog`.\n- Identified `--parent` flag as the correct method to list subfolder contents in `gog`.\n\n## Resolved Questions\n- **Q**: Is the \"Gesundheitsdaten Inbox\" folder accessible?\n **A**: Yes, accessible via `gog` with proper authentication.\n- **Q**: What is the ID of the Inbox folder?\n **A**: `1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE`\n- **Q**: What is the ID of the Archiv folder?\n **A**: `1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`\n- **Q**: Are there existing documents in the Inbox or Archiv?\n **A**: Both folders are currently empty.\n\n## Pending User Asks\n1. Should a cron job be set up for periodic checking of the Inbox?\n2. Which OCR tools should be installed (`pytesseract` + `opencv` or `pymupdf`)?\n3. Should the local document directory and health events log be created now?\n\n## Relevant Files\n- None created or modified locally yet.\n\n## Remaining Work\n- Install OCR dependencies.\n- Create local directory structure for \"Gesundheitsdaten\".\n- Implement Python script for:\n - Monitoring/Downloading files from Inbox.\n - OCR text extraction.\n - Medical data analysis.\n - Updating local DB/logs.\n- Configure automation (cron job) if requested.\n\n## Critical Context\n- **GOG_ACCOUNT**: `friday.uplink@gmail.com`\n- **GOG_KEYRING_PASSWORD**: [REDACTED]\n- **Inbox Folder ID**: `1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE`\n- **Archiv Folder ID**: `1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`\n- **CLI Flag**: `gog drive ls --parent ` is required to list subfolder contents; `--folder` and `--id` are invalid." }, { "role": "user", "content": "ja prüfe 2x täglich diese Gesundheitsdaten inbox. Beachte: wir haben bereits eine Lokale struktur aufgebaut, welche wir weiter verwenden: agent@agent:~/.hermes/assets/Gesundheit$ . erinnerst du dich? die Python Tools solltest du ebenfalls bereits haben, da du bereits dokumente für mich in der Struktur abgelegt hast und verarbeitet hast. die Logs und Datenbanken gibt es ebenfalls schon. die Google Drive Cloud dient mir nur als Möglichkeit dir Dateien zuzustellen. Pass auf dass du nichts löscht." }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "MkPB8zb6BlqPYPlh0ZLvADTF4cUeKtGF", "call_id": "MkPB8zb6BlqPYPlh0ZLvADTF4cUeKtGF", "response_item_id": "fc_MkPB8zb6BlqPYPlh0ZLvADTF4cUeKtGF", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nos.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'\\nresult = os.popen(\\\"gog -a friday.uplink@gmail.com drive ls --parent 1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE --json 2>&1\\\").read()\\nprint(result)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os os.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'...` (1 lines output)", "tool_call_id": "MkPB8zb6BlqPYPlh0ZLvADTF4cUeKtGF" }, { "role": "assistant", "content": "Es liegt bereits ein Dokument in der Inbox. Lass mich zuerst die lokale Struktur prüfen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "Uj2SOP6AIwJF0whr3wc3cwEx51b4WwuA", "call_id": "Uj2SOP6AIwJF0whr3wc3cwEx51b4WwuA", "response_item_id": "fc_Uj2SOP6AIwJF0whr3wc3cwEx51b4WwuA", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nresult = os.popen(\\\"find ~/.hermes/assets/Gesundheit -type f | head -50\\\").read()\\nprint(result)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os result = os.popen(\"find ~/.hermes/assets/Gesundhei...` (1 lines output)", "tool_call_id": "Uj2SOP6AIwJF0whr3wc3cwEx51b4WwuA" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "OAmwPX6NE0Yef6grGxTv6X2jk8wjBFwE", "call_id": "OAmwPX6NE0Yef6grGxTv6X2jk8wjBFwE", "response_item_id": "fc_OAmwPX6NE0Yef6grGxTv6X2jk8wjBFwE", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nresult = os.popen(\\\"find ~/.hermes/assets/Gesundheit -type f | wc -l\\\").read()\\nprint(f\\\"Total files: {result}\\\")\\nresult2 = os.popen(\\\"ls -la ~/.hermes/assets/Gesundheit/\\\").read()\\nprint(result2)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os result = os.popen(\"find ~/.hermes/assets/Gesundhei...` (1 lines output)", "tool_call_id": "OAmwPX6NE0Yef6grGxTv6X2jk8wjBFwE" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "e0OtojfEGbGK0fe8c1eDp26PfuuWjMxY", "call_id": "e0OtojfEGbGK0fe8c1eDp26PfuuWjMxY", "response_item_id": "fc_e0OtojfEGbGK0fe8c1eDp26PfuuWjMxY", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\n# Check existing watchdog script and cron setup\\nresult = os.popen(\\\"cat ~/.hermes/assets/Gesundheit/process_inbox.sh\\\").read()\\nprint(result[:3000])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os # Check existing watchdog script and cron setup re...` (1 lines output)", "tool_call_id": "e0OtojfEGbGK0fe8c1eDp26PfuuWjMxY" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "m1ZYNtiOkd6FEjMfPfVWZ8cPNkE09FT9", "call_id": "m1ZYNtiOkd6FEjMfPfVWZ8cPNkE09FT9", "response_item_id": "fc_m1ZYNtiOkd6FEjMfPfVWZ8cPNkE09FT9", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nresult = os.popen(\\\"cat ~/.hermes/assets/Gesundheit/process_inbox.sh\\\").read()\\nprint(result[3000:6000])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os result = os.popen(\"cat ~/.hermes/assets/Gesundheit...` (1 lines output)", "tool_call_id": "m1ZYNtiOkd6FEjMfPfVWZ8cPNkE09FT9" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "nJWMvKWueCBN8ZQ9xu194JRLPw0wvcen", "call_id": "nJWMvKWueCBN8ZQ9xu194JRLPw0wvcen", "response_item_id": "fc_nJWMvKWueCBN8ZQ9xu194JRLPw0wvcen", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nresult = os.popen(\\\"cat ~/.hermes/assets/Gesundheit/process_inbox.sh\\\").read()\\nprint(result[6000:])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os result = os.popen(\"cat ~/.hermes/assets/Gesundheit...` (1 lines output)", "tool_call_id": "nJWMvKWueCBN8ZQ9xu194JRLPw0wvcen" }, { "role": "assistant", "content": "Gut, ich kenne die bestehende Struktur. Lass mich jetzt prüfen, ob das neue Dokument bereits lokal vorhanden ist.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "ggdHm7R26EqzNaQcBHplzgnDZJKq7DgT", "call_id": "ggdHm7R26EqzNaQcBHplzgnDZJKq7DgT", "response_item_id": "fc_ggdHm7R26EqzNaQcBHplzgnDZJKq7DgT", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\n# Check if the new file is already in local inbox\\nresult = os.popen(\\\"ls -la ~/.hermes/assets/Gesundheit/inbox/\\\").read()\\nprint(\\\"Local inbox (lowercase):\\\")\\nprint(result)\\nresult2 = os.popen(\\\"ls -la ~/.hermes/assets/Gesundheit/Inbox/\\\").read()\\nprint(\\\"Local Inbox (uppercase):\\\")\\nprint(result2)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os # Check if the new file is already in local inbox ...` (1 lines output)", "tool_call_id": "ggdHm7R26EqzNaQcBHplzgnDZJKq7DgT" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "FZiTgTtxIZvzafGDOYli2CR1I2q0ZcOp", "call_id": "FZiTgTtxIZvzafGDOYli2CR1I2q0ZcOp", "response_item_id": "fc_FZiTgTtxIZvzafGDOYli2CR1I2q0ZcOp", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import os\\n# Check the database for existing dokumente entries\\nresult = os.popen(\\\"sqlite3 ~/.hermes/assets/Gesundheit/health_data.db \\\\\\\"SELECT * FROM dokumente ORDER BY id DESC LIMIT 10;\\\\\\\"\\\").read()\\nprin...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os # Check the database for existing dokumente entrie...` (1 lines output)", "tool_call_id": "FZiTgTtxIZvzafGDOYli2CR1I2q0ZcOp" }, { "role": "assistant", "content": "Perfekt, Sir. Ich habe die komplette bestehende Struktur verstanden. Jetzt prüfe ich, ob das neue Dokument aus der Google Drive Inbox bereits lokal vorhanden ist.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "d5EWqpAofkJZpsI1hanxwB7S21UnpZzg", "call_id": "d5EWqpAofkJZpsI1hanxwB7S21UnpZzg", "response_item_id": "fc_d5EWqpAofkJZpsI1hanxwB7S21UnpZzg", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\n# Check if 260507_Labor_Blutwerte_Dermatologie.pdf exists locally\\nresult = os.popen(\\\"find ~/.hermes/assets/Gesundheit -name '*260507*' 2>/dev/null\\\").read()\\nprint(\\\"Lokale Suche nach 260507:\\\")\\nprint(result if result else \\\"Nicht gefunden\\\")\\n# Check if it's in inbox\\nresult2 = os.popen(\\\"ls -la ~/.hermes/assets/Gesundheit/inbox/ 2>/dev/null\\\").read()\\nprint(\\\"\\\\nInhalt lokaler inbox:\\\")\\nprint(result2)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os # Check if 260507_Labor_Blutwerte_Dermatologie.pdf...` (1 lines output)", "tool_call_id": "d5EWqpAofkJZpsI1hanxwB7S21UnpZzg" }, { "role": "assistant", "content": "Das neue Dokument `260507_Labor_Blutwerte_Dermatologie.pdf` ist noch nicht lokal vorhanden. Ich werde es jetzt herunterladen und verarbeiten.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "IANTianY6HpN5gp8sFNw9xnx6ZAUuKGA", "call_id": "IANTianY6HpN5gp8sFNw9xnx6ZAUuKGA", "response_item_id": "fc_IANTianY6HpN5gp8sFNw9xnx6ZAUuKGA", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nimport json\\nos.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'\\n# Download the new file from Google Drive\\nresult = os.popen(\\\"gog -a friday.uplink@gmail.com drive download --json --id 1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE --to ~/.hermes/assets/Gesundheit/inbox/ 2>&1\\\").read()\\nprint(result)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"unknown flag --id\\nRun with --help to see available flags\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "IANTianY6HpN5gp8sFNw9xnx6ZAUuKGA" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "f6SLERfr0HNOE8hb3PCpItY5cZjqbTNo", "call_id": "f6SLERfr0HNOE8hb3PCpItY5cZjqbTNo", "response_item_id": "fc_f6SLERfr0HNOE8hb3PCpItY5cZjqbTNo", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nos.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'\\nresult = os.popen(\\\"gog drive download --help 2>&1\\\").read()\\nprint(result)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os os.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'...` (1 lines output)", "tool_call_id": "f6SLERfr0HNOE8hb3PCpItY5cZjqbTNo" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "LMLuL16hWzD1luRcQ5vkbfdlnOb2pRgw", "call_id": "LMLuL16hWzD1luRcQ5vkbfdlnOb2pRgw", "response_item_id": "fc_LMLuL16hWzD1luRcQ5vkbfdlnOb2pRgw", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\nos.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'\\nresult = os.popen(\\\"gog -a friday.uplink@gmail.com drive download 1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE --out ~/.hermes/assets/Gesundheit/inbox/ 2>&1\\\").read()\\nprint(result)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os os.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'...` (1 lines output)", "tool_call_id": "LMLuL16hWzD1luRcQ5vkbfdlnOb2pRgw" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "u6G62980nTuQkKssVbPSw0dfhtb9x6eO", "call_id": "u6G62980nTuQkKssVbPSw0dfhtb9x6eO", "response_item_id": "fc_u6G62980nTuQkKssVbPSw0dfhtb9x6eO", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\n# Rename the downloaded file to proper name\\nsrc = os.popen(\\\"ls ~/.hermes/assets/Gesundheit/inbox/1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE*\\\").read().strip()\\nprint(f\\\"Source: {src}\\\")\\nresult = os.popen(f'mv \\\"{src}\\\" ~/.hermes/assets/Gesundheit/inbox/260507_Labor_Blutwerte_Dermatologie.pdf 2>&1').read()\\nprint(f\\\"Rename result: {result}\\\")\\nresult2 = os.popen(\\\"ls -la ~/.hermes/assets/Gesundheit/inbox/\\\").read()\\nprint(result2)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os # Rename the downloaded file to proper name src = ...` (1 lines output)", "tool_call_id": "u6G62980nTuQkKssVbPSw0dfhtb9x6eO" }, { "role": "assistant", "content": "Datei heruntergeladen. Jetzt extrahiere ich den Text und verarbeite ihn.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "6mY98SZgwlIxmpLUPacdMW47960e0iYR", "call_id": "6mY98SZgwlIxmpLUPacdMW47960e0iYR", "response_item_id": "fc_6mY98SZgwlIxmpLUPacdMW47960e0iYR", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\n# Extract text from PDF using pdftotext\\nresult = os.popen(\\\"pdftotext ~/.hermes/assets/Gesundheit/inbox/260507_Labor_Blutwerte_Dermatologie.pdf - 2>&1\\\").read()\\nprint(f\\\"Text length: {len(result)} chars\\\")\\nprint(result[:5000])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Text length: 2 chars\\n\\f\\f\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "6mY98SZgwlIxmpLUPacdMW47960e0iYR" }, { "role": "assistant", "content": "Das PDF enthält keinen extrahierbaren Text – es ist ein gescanntes Bild-PDF. Ich muss OCR verwenden.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "Iz0BH5cBwvoRQGwb2gFUJcpv5IiejQkX", "call_id": "Iz0BH5cBwvoRQGwb2gFUJcpv5IiejQkX", "response_item_id": "fc_Iz0BH5cBwvoRQGwb2gFUJcpv5IiejQkX", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import os\\n# Check if pytesseract and other OCR tools are available\\nresult = os.popen(\\\"python3 -c 'import pytesseract; print(pytesseract.get_tesseract_version())' 2>&1\\\").read()\\nprint(\\\"pytesseract:\\\", re...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os # Check if pytesseract and other OCR tools are ava...` (1 lines output)", "tool_call_id": "Iz0BH5cBwvoRQGwb2gFUJcpv5IiejQkX" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "BExnBkwtL5t1Aa6yG295MmWVYJdAH8vh", "call_id": "BExnBkwtL5t1Aa6yG295MmWVYJdAH8vh", "response_item_id": "fc_BExnBkwtL5t1Aa6yG295MmWVYJdAH8vh", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import os\\n# Check what Python packages are available for OCR\\nresult = os.popen(\\\"pip3 list 2>/dev/null | grep -iE 'tesseract|pytesseract|cv2|opencv|fitz|mupdf|pdf2image|easyocr|paddleocr|ocrmypdf'\\\").re...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import os # Check what Python packages are available for OCR...` (1 lines output)", "tool_call_id": "BExnBkwtL5t1Aa6yG295MmWVYJdAH8vh" }, { "role": "assistant", "content": "Gut, die nötigen Pakete sind vorhanden: `pytesseract`, `opencv`, `PyMuPDF`. Ich kann jetzt OCR durchführen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "1Jo5ucX7pIz5DNQiIBIMIUBzyPKrzFnH", "call_id": "1Jo5ucX7pIz5DNQiIBIMIUBzyPKrzFnH", "response_item_id": "fc_1Jo5ucX7pIz5DNQiIBIMIUBzyPKrzFnH", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import fitz # PyMuPDF\\nimport os\\nimport subprocess\\n\\npdf_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/inbox/260507_Labor_Blutwerte_Dermatologie.pdf\\\")\\ndoc = fitz.open(pdf_path)\\nprint(f\\\"PDF has...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import fitz # PyMuPDF import os import subprocess pdf_path...` (1 lines output)", "tool_call_id": "1Jo5ucX7pIz5DNQiIBIMIUBzyPKrzFnH" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "AUGxuCxklbPzke6Cf9MYLFcFkqIPPgz0", "call_id": "AUGxuCxklbPzke6Cf9MYLFcFkqIPPgz0", "response_item_id": "fc_AUGxuCxklbPzke6Cf9MYLFcFkqIPPgz0", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\n# Use PyMuPDF via the system python where it's installed\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"import fitz; print(fitz.__doc__)\\\"],\\n capture_output=True, text=True,\\n env={**os.environ, \\\"PYTHONPATH\\\": os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")}\\n)\\nprint(\\\"PyMuPDF check:\\\", result.stdout)\\nif result.stderr:\\n print(\\\"stderr:\\\", result.stderr[:500])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os # Use PyMuPDF via the system py...` (1 lines output)", "tool_call_id": "AUGxuCxklbPzke6Cf9MYLFcFkqIPPgz0" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "KIB4NFglbOjKulhfH5vz1VziUSJXqMmg", "call_id": "KIB4NFglbOjKulhfH5vz1VziUSJXqMmg", "response_item_id": "fc_KIB4NFglbOjKulhfH5vz1VziUSJXqMmg", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\n# Convert PDF pages to images and OCR them\\nresult ...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "KIB4NFglbOjKulhfH5vz1VziUSJXqMmg" }, { "role": "assistant", "content": "Der OCR-Text ist lesbar, aber die Werte sind in den tabellarischen Bereichen nicht korrekt extrahiert. Lass mich das PDF besser mit PyMuPDF parsen und die Tabellenwerte direkt extrahieren.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "2t1FcWfIBYJZcEB2KrOqSeB6rSpq2ZPf", "call_id": "2t1FcWfIBYJZcEB2KrOqSeB6rSpq2ZPf", "response_item_id": "fc_2t1FcWfIBYJZcEB2KrOqSeB6rSpq2ZPf", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\n# Save full OCR text to file for analysis\\nresult =...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "2t1FcWfIBYJZcEB2KrOqSeB6rSpq2ZPf" }, { "role": "assistant", "content": "Die OCR ist für tabellarische PDFs nicht ideal. Der Text ist zu fragmentiert. Lass mich eine bessere Strategie versuchen – PyMuPDF nutzt die PDF-Text-Extraktion auf Pixebene mit besserer Layout-Analyse.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "qCyHe3anSPr6151TNNDyyMDEBZ1iVS9R", "call_id": "qCyHe3anSPr6151TNNDyyMDEBZ1iVS9R", "response_item_id": "fc_qCyHe3anSPr6151TNNDyyMDEBZ1iVS9R", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\n# Try using PyMuPDF's built-in text extraction wit...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "qCyHe3anSPr6151TNNDyyMDEBZ1iVS9R" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "JjER6GLDLtEztj7ok2hYUd8TjDPn4jQ3", "call_id": "JjER6GLDLtEztj7ok2hYUd8TjDPn4jQ3", "response_item_id": "fc_JjER6GLDLtEztj7ok2hYUd8TjDPn4jQ3", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"\\\"\\\"...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.82}", "tool_call_id": "JjER6GLDLtEztj7ok2hYUd8TjDPn4jQ3" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "iIlamHSXSAACPzInPg0nS6HsG32boVf6", "call_id": "iIlamHSXSAACPzInPg0nS6HsG32boVf6", "response_item_id": "fc_iIlamHSXSAACPzInPg0nS6HsG32boVf6", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"\\\"\\\"...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "iIlamHSXSAACPzInPg0nS6HsG32boVf6" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "PCZvrokeiEpFGAJdqoSHG1sJQjDUKRK1", "call_id": "PCZvrokeiEpFGAJdqoSHG1sJQjDUKRK1", "response_item_id": "fc_PCZvrokeiEpFGAJdqoSHG1sJQjDUKRK1", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"\\\"\\\"...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"STDOUT:\\n\\n=== PAGE 0 ===\\n\\n---END---\\n\\n=== PAGE 1 ===\\n\\n---END---\\n\\nSTDERR:\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.82}", "tool_call_id": "PCZvrokeiEpFGAJdqoSHG1sJQjDUKRK1" }, { "role": "assistant", "content": "Kein Text im PDF – es ist ein reines Bild-PDF. Die OCR mit Tesseract war die richtige Herangehensweise. Das Problem ist, dass die tabellarischen Werte durch das Layout fragmentiert werden. Lass mich die Bilder direkt mit einer besseren OCR-Konfiguration verarbeiten.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "MxpOpPviWStpBg5YjIWFwW1NGChz9Ge5", "call_id": "MxpOpPviWStpBg5YjIWFwW1NGChz9Ge5", "response_item_id": "fc_MxpOpPviWStpBg5YjIWFwW1NGChz9Ge5", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"\\\"\\\"...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "MxpOpPviWStpBg5YjIWFwW1NGChz9Ge5" }, { "role": "assistant", "content": "Excellent! PSM=6 gibt die besten Ergebnisse. Ich kann die Werte jetzt manuell aus dem OCR-Text extrahieren. Lass mich die Werte parsen und in die Datenbank einfügen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "dSPv3CPZ8zVOa8Lo7EMHnxogSMVZyOXJ", "call_id": "dSPv3CPZ8zVOa8Lo7EMHnxogSMVZyOXJ", "response_item_id": "fc_dSPv3CPZ8zVOa8Lo7EMHnxogSMVZyOXJ", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\nimport sqlite3\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\n# Extract values using PSM=6 which ...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os import sqlite3 PYTHONPATH = os....` (1 lines output)", "tool_call_id": "dSPv3CPZ8zVOa8Lo7EMHnxogSMVZyOXJ" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "98AoXrCAsLCPzXQCwSJfYJoFGRW6yXvO", "call_id": "98AoXrCAsLCPzXQCwSJfYJoFGRW6yXvO", "response_item_id": "fc_98AoXrCAsLCPzXQCwSJfYJoFGRW6yXvO", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\n# Use vision AI to extract values from the OCR ima...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Images saved: [\\\"/tmp/ocr_page_0.png\\\", \\\"/tmp/ocr_page_1.png\\\"]\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 2.22}", "tool_call_id": "98AoXrCAsLCPzXQCwSJfYJoFGRW6yXvO" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "AfI43ptTOvw5uO8PpdtvEm4eRX4MiGda", "call_id": "AfI43ptTOvw5uO8PpdtvEm4eRX4MiGda", "response_item_id": "fc_AfI43ptTOvw5uO8PpdtvEm4eRX4MiGda", "type": "function", "function": { "name": "browser_vision", "arguments": "{\"question\":\"Extract all laboratory values from this medical lab report. For each test, provide: test name, result value, unit, reference range, and whether it's flagged as abnormal. List ALL values clearly in a table format.\"}" } } ] }, { "role": "tool", "name": "browser_vision", "content": "[browser_vision] (456 chars)", "tool_call_id": "AfI43ptTOvw5uO8PpdtvEm4eRX4MiGda" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "hnM3dXcVx0sMi2RXJgLYUzVcmTiji1hO", "call_id": "hnM3dXcVx0sMi2RXJgLYUzVcmTiji1hO", "response_item_id": "fc_hnM3dXcVx0sMi2RXJgLYUzVcmTiji1hO", "type": "function", "function": { "name": "vision_analyze", "arguments": "{\"image_url\":\"file:///tmp/ocr_page_0.png\",\"question\":\"Extract ALL laboratory test values from this medical report. For each test provide: test name, result value, unit, reference range, and whether it's flagged as abnormal. List every single value clearly.\"}" } } ] }, { "role": "tool", "name": "vision_analyze", "content": "[vision_analyze] 'Extract ALL laboratory test values from this medic' (511 chars)", "tool_call_id": "hnM3dXcVx0sMi2RXJgLYUzVcmTiji1hO" }, { "role": "assistant", "content": "Vision AI ist nicht verfügbar. Ich muss die Werte aus dem OCR-Text mit PSM=6 extrahieren. Der PSM=6 Output war sehr detailliert. Lass mich die Werte manuell aus dem OCR-Text parsen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "tOnkiLtyfc1b9qE4hVkyte4aImVxcfoc", "call_id": "tOnkiLtyfc1b9qE4hVkyte4aImVxcfoc", "response_item_id": "fc_tOnkiLtyfc1b9qE4hVkyte4aImVxcfoc", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"\\\"\\\"...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "tOnkiLtyfc1b9qE4hVkyte4aImVxcfoc" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "xbzyPLubgXlHIVi9UKnEzbOmZuDlOXtf", "call_id": "xbzyPLubgXlHIVi9UKnEzbOmZuDlOXtf", "response_item_id": "fc_xbzyPLubgXlHIVi9UKnEzbOmZuDlOXtf", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/tmp/extract_values.py\", \"content\": \"import fitz\\nimport subprocess\\nimport os\\nimport re\\nimport sqlite3\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\npdf_path = os...[truncated]\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 3693, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "xbzyPLubgXlHIVi9UKnEzbOmZuDlOXtf" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "oXiNORrQ4RNIpgo6uLomtG2ct1pIAHQ9", "call_id": "oXiNORrQ4RNIpgo6uLomtG2ct1pIAHQ9", "response_item_id": "fc_oXiNORrQ4RNIpgo6uLomtG2ct1pIAHQ9", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/extract_values.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(result.stdout[-15000:])\\nif result.stderr:\\n print(\\\"STDERR:\\\", result.stderr[-500])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "oXiNORrQ4RNIpgo6uLomtG2ct1pIAHQ9" }, { "role": "assistant", "content": "Das PDF hat keine extrahierbaren Text-Elemente – es ist komplett gerendert als Bild. Die OCR-Werte sind teilweise obscured. Ich muss die Bilder direkt analysieren. Lass mich ein Skript schreiben, das die Werte aus dem OCR-Text mit besserer Regex-Extraktion parst.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "zYWLSMp7Gn4ccYLCsenqEGWBFe29A5KU", "call_id": "zYWLSMp7Gn4ccYLCsenqEGWBFe29A5KU", "response_item_id": "fc_zYWLSMp7Gn4ccYLCsenqEGWBFe29A5KU", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/tmp/parse_lab_values.py\", \"content\": \"import re\\n\\n# OCR text from PSM=6\\npage0 = \\\"\\\"\\\"Druckdatum: 07.05.2026 1 / 1\\nUniversitäts Gasser Marcel\\nUSZ Spital Zürich | KC ©) ae PUCK\\nInstitut für Klinische Chemie EERE 13\\nRämistr. 100, 8091 Zürich Te...[truncated]\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 4450, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "zYWLSMp7Gn4ccYLCsenqEGWBFe29A5KU" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "eey4W3LjIsMcO3bRvmd3L1q30lSjTU3p", "call_id": "eey4W3LjIsMcO3bRvmd3L1q30lSjTU3p", "response_item_id": "fc_eey4W3LjIsMcO3bRvmd3L1q30lSjTU3p", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/parse_lab_values.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(result.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "eey4W3LjIsMcO3bRvmd3L1q30lSjTU3p" }, { "role": "assistant", "content": "Die OCR-Werte für die tabellarischen Werte sind zu fragmentiert. Ich muss die Bilder direkt mit besserer Vorverarbeitung analysieren. Lass mich OpenCV verwenden, um die Bilder zu verbessern (Kontrast, Binarisierung) und dann erneut OCR durchzuführen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "1crvvVAadRym6p1L34yXDUePVKqg4YX0", "call_id": "1crvvVAadRym6p1L34yXDUePVKqg4YX0", "response_item_id": "fc_1crvvVAadRym6p1L34yXDUePVKqg4YX0", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"\", \"content\": \"import cv2\\nimport pytesseract\\nfrom PIL import Image\\nimport numpy as np\\nimport os\\n\\n# Load the OCR images\\nimg0_path = \\\"/tmp/ocr_page_0.png\\\"\\nimg1_path = \\\"/tmp/ocr_page_1.png\\\"\\n\\ndef preprocess_image(img_pa...[truncated]\"}" } }, { "id": "o4ODD57pft7kc4VX1XPI4WyHdyKRB3Kb", "call_id": "o4ODD57pft7kc4VX1XPI4WyHdyKRB3Kb", "response_item_id": "fc_o4ODD57pft7kc4VX1XPI4WyHdyKRB3Kb", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/tmp/ocr_preprocessed.py\", \"content\": \"import cv2\\nimport pytesseract\\nfrom PIL import Image\\nimport numpy as np\\nimport os\\n\\n# Load the OCR images\\nimg0_path = \\\"/tmp/ocr_page_0.png\\\"\\nimg1_path = \\\"/tmp/ocr_page_1.png\\\"\\n\\ndef preprocess_image(img_pa...[truncated]\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"error\": \"write_file: missing required field 'path'. Re-emit the tool call with both 'path' and 'content' set.\"}", "tool_call_id": "1crvvVAadRym6p1L34yXDUePVKqg4YX0" }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 1998, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "o4ODD57pft7kc4VX1XPI4WyHdyKRB3Kb" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "EVdmJKZWRJXvIby6PtoUdoam7FVocVZl", "call_id": "EVdmJKZWRJXvIby6PtoUdoam7FVocVZl", "response_item_id": "fc_EVdmJKZWRJXvIby6PtoUdoam7FVocVZl", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/ocr_preprocessed.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(result.stdout[-15000:])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.62}", "tool_call_id": "EVdmJKZWRJXvIby6PtoUdoam7FVocVZl" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "bFIbdXUYEeJEHApip3xfO103KeqWxYSC", "call_id": "bFIbdXUYEeJEHApip3xfO103KeqWxYSC", "response_item_id": "fc_bFIbdXUYEeJEHApip3xfO103KeqWxYSC", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/ocr_preprocessed.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(\\\"STDOUT length:\\\", len(result.stdout))\\nprint(\\\"STDOUT:\\\")\\nprint(result.stdout)\\nprint(\\\"STDERR:\\\")\\nprint(result.stderr)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os PYTHONPATH = os.path.expanduser...` (1 lines output)", "tool_call_id": "bFIbdXUYEeJEHApip3xfO103KeqWxYSC" }, { "role": "assistant", "content": "PIL ist kaputt im local venv. Lass mich das System-Python verwenden.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "J4SJYEK2aPL8Zp8EpoTUUneDeZwYcgR1", "call_id": "J4SJYEK2aPL8Zp8EpoTUUneDeZwYcgR1", "response_item_id": "fc_J4SJYEK2aPL8Zp8EpoTUUneDeZwYcgR1", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"import sys; print(sys.executable); print(sys.path)\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Python path:\\\", result.std...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os result = subprocess.run( [\"...` (1 lines output)", "tool_call_id": "J4SJYEK2aPL8Zp8EpoTUUneDeZwYcgR1" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "aIyCPJ45NZPphS7uFuFuEj3jzo4g2X1h", "call_id": "aIyCPJ45NZPphS7uFuFuEj3jzo4g2X1h", "response_item_id": "fc_aIyCPJ45NZPphS7uFuFuEj3jzo4g2X1h", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\n# Use the hermes-agent venv which has all packages\\nPYTHONPATH = os.path.expanduser(\\\"~/.hermes/hermes-agent/venv/lib/python3.11/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"import PIL; print(PIL.__file__)\\\"],\\n capture_output=True, text=True, env=env\\n)\\nprint(\\\"PIL location:\\\", result.stdout)\\nprint(\\\"stderr:\\\", result.stderr)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os # Use the hermes-agent venv whi...` (1 lines output)", "tool_call_id": "aIyCPJ45NZPphS7uFuFuEj3jzo4g2X1h" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "Rx1kp0ef7zRE2PN0HDaCs9or960G0B5w", "call_id": "Rx1kp0ef7zRE2PN0HDaCs9or960G0B5w", "response_item_id": "fc_Rx1kp0ef7zRE2PN0HDaCs9or960G0B5w", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\n# Check what's in the hermes-agent venv\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"import sys; print('\\\\\\\\n'.join(sys.path))\\\"],\\n capture_output=True, text=True\\n)\\npri...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os # Check what's in the hermes-ag...` (1 lines output)", "tool_call_id": "Rx1kp0ef7zRE2PN0HDaCs9or960G0B5w" }, { "role": "assistant", "content": "Die Pakete sind im venv nicht verfügbar. Sie sind im `~/.local` Pfad. Lass mich das direkt über das system python nutzen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "26Jd931iyRY7oaHuwTPSFJxZbl3rQDaF", "call_id": "26Jd931iyRY7oaHuwTPSFJxZbl3rQDaF", "response_item_id": "fc_26Jd931iyRY7oaHuwTPSFJxZbl3rQDaF", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\n# Use the system python3.11 which has packages in ~/.local\\nPYTHONHOME = os.path.expanduser(\\\"~/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu\\\")\\nPYTHONPATH = os.pat...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os # Use the system python3.11 whi...` (1 lines output)", "tool_call_id": "26Jd931iyRY7oaHuwTPSFJxZbl3rQDaF" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "i8PibyWgLkNoB8Q7vMJN65n8CbnKSQ6o", "call_id": "i8PibyWgLkNoB8Q7vMJN65n8CbnKSQ6o", "response_item_id": "fc_i8PibyWgLkNoB8Q7vMJN65n8CbnKSQ6o", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\n# Use tesseract directly from command line with better preprocessing\\n# First, let's try using tesseract with --oem 3 (lstm only) and --psm 6\\n\\n# Preprocess the images using...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os # Use tesseract directly from c...` (1 lines output)", "tool_call_id": "i8PibyWgLkNoB8Q7vMJN65n8CbnKSQ6o" }, { "role": "assistant", "content": "Die tabellarischen Werte werden leider nicht gut erkannt. Das liegt am PDF-Layout. Ich muss die Bilder direkt schneiden und die Tabellenzeilen einzeln OCR'n.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "1oJkbuSEXbV70kuk4A5RyTw4CROCxXLN", "call_id": "1oJkbuSEXbV70kuk4A5RyTw4CROCxXLN", "response_item_id": "fc_1oJkbuSEXbV70kuk4A5RyTw4CROCxXLN", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/tmp/ocr_table_rows.py\", \"content\": \"import fitz\\nimport subprocess\\nimport os\\nimport pytesseract\\nfrom PIL import Image\\n\\n# Load images\\nimg0 = Image.open(\\\"/tmp/ocr_page_0.png\\\")\\nimg1 = Image.open(\\\"/tmp/ocr_page_1.png\\\")\\n\\n# For page 1, the tab...[truncated]\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 2010, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "1oJkbuSEXbV70kuk4A5RyTw4CROCxXLN" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "VDdyip18P35wUsDnVGJXLQQrfrUUAJTC", "call_id": "VDdyip18P35wUsDnVGJXLQQrfrUUAJTC", "response_item_id": "fc_VDdyip18P35wUsDnVGJXLQQrfrUUAJTC", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/ocr_table_rows.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(\\\"STDOUT length:\\\", len(result.stdout))\\nprint(result.stdout[-15000:])\\nif result.stderr:\\n print(\\\"STDERR:\\\", result.stderr[-500])\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"STDOUT length: 0\\n\\nSTDERR: l\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.82}", "tool_call_id": "VDdyip18P35wUsDnVGJXLQQrfrUUAJTC" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "tn9VNSNOr7ewRV0jb5weEEk6TIK5bCxN", "call_id": "tn9VNSNOr7ewRV0jb5weEEk6TIK5bCxN", "response_item_id": "fc_tn9VNSNOr7ewRV0jb5weEEk6TIK5bCxN", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\n# Use the correct python path\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/ocr_table_rows.py\\\"],\\n capture_output=True, text=True, cwd=\\\"/tmp\\\"\\n)\\nprint(\\\"STDOUT length:\\\", len(result.stdout))\\nprint(\\\"STDOUT:\\\")\\nprint(result.stdout)\\nprint(\\\"STDERR:\\\")\\nprint(result.stderr)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os # Use the correct python path r...` (1 lines output)", "tool_call_id": "tn9VNSNOr7ewRV0jb5weEEk6TIK5bCxN" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "nKNv3oYRu9dmgrBcq8FgF4IOKZ6tNuiP", "call_id": "nKNv3oYRu9dmgrBcq8FgF4IOKZ6tNuiP", "response_item_id": "fc_nKNv3oYRu9dmgrBcq8FgF4IOKZ6tNuiP", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import subprocess\\nimport os\\n\\n# Find which python has fitz\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"-c\\\", \\\"import sys; print('\\\\\\\\n'.join(sys.path))\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"sys.pat...[truncated]\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os # Find which python has fitz re...` (1 lines output)", "tool_call_id": "nKNv3oYRu9dmgrBcq8FgF4IOKZ6tNuiP" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "mQpW7QKKpCIfAUZB9eaLrWbRNzIJq6D1", "call_id": "mQpW7QKKpCIfAUZB9eaLrWbRNzIJq6D1", "response_item_id": "fc_mQpW7QKKpCIfAUZB9eaLrWbRNzIJq6D1", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nenv = os.environ.copy()\\nenv[\\\"PYTHONPATH\\\"] = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/ocr_table_rows.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(\\\"STDOUT length:\\\", len(result.stdout))\\nprint(result.stdout)\\nif result.stderr:\\n print(\\\"STDERR:\\\", result.stderr)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "[execute_code] `import subprocess import os env = os.environ.copy() env[\"PY...` (1 lines output)", "tool_call_id": "mQpW7QKKpCIfAUZB9eaLrWbRNzIJq6D1" }, { "role": "assistant", "content": "Die PIL-Installation ist kaputt. Lass mich das mit subprocess und tesseract direkt lösen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "L9Qhreo8esI5K7tShNg8uXZ4zjFwFfQy", "call_id": "L9Qhreo8esI5K7tShNg8uXZ4zjFwFfQy", "response_item_id": "fc_L9Qhreo8esI5K7tShNg8uXZ4zjFwFfQy", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/tmp/ocr_direct.py\", \"content\": \"import fitz\\nimport subprocess\\nimport os\\n\\n# Use fitz from pymupdf directly\\ndoc = fitz.open(\\\"/tmp/ocr_page_0.png\\\") # This won't work, it's a PNG\\n# Let's use tesseract directly from command line\\n\\n# Page...[truncated]\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 831, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "L9Qhreo8esI5K7tShNg8uXZ4zjFwFfQy" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "glm6lOiykWskLq4wq8zcQIStWNgPzDaa", "call_id": "glm6lOiykWskLq4wq8zcQIStWNgPzDaa", "response_item_id": "fc_glm6lOiykWskLq4wq8zcQIStWNgPzDaa", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nenv = os.environ.copy()\\n\\n# Use tesseract directly - it doesn't need python packages\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/ocr_direct.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(result.stdout)\\nif result.stderr:\\n print(\\\"STDERR:\\\", result.stderr)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"\\nSTDERR: Traceback (most recent call last):\\n File \\\"/tmp/ocr_direct.py\\\", line 1, in \\n import fitz\\nModuleNotFoundError: No module named 'fitz'\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "glm6lOiykWskLq4wq8zcQIStWNgPzDaa" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "ma11YcXQ27vJ8M8Z83W2ge5TRuDtK2tv", "call_id": "ma11YcXQ27vJ8M8Z83W2ge5TRuDtK2tv", "response_item_id": "fc_ma11YcXQ27vJ8M8Z83W2ge5TRuDtK2tv", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/tmp/ocr_direct.sh\",\"content\":\"#!/bin/bash\\n# Direct OCR using tesseract command line\\n\\n# Page 1: Try different approaches for the table\\necho \\\"=== Page 1: PSM=6 (default) ===\\\"\\ntesseract /tmp/ocr_page_1.png stdout -l deu+eng --psm 6 --oem 3 2>/dev/null\\n\\necho \\\"\\\"\\necho \\\"=== Page 1: PSM=4 (single column) ===\\\"\\ntesseract /tmp/ocr_page_1.png stdout -l deu+eng --psm 4 --oem 3 2>/dev/null\\n\\necho \\\"\\\"\\necho \\\"=== Page 1: PSM=11 (sparse text) ===\\\"\\ntesseract /tmp/ocr_page_1.png stdout -l deu+eng --psm 11 --oem 3 2>/dev/null\\n\\necho \\\"\\\"\\necho \\\"=== Page 1: PSM=13 (raw line) ===\\\"\\ntesseract /tmp/ocr_page_1.png stdout -l deu+eng --psm 13 --oem 3 2>/dev/null\\n\\necho \\\"\\\"\\necho \\\"=== Page 0: PSM=6 ===\\\"\\ntesseract /tmp/ocr_page_0.png stdout -l deu+eng --psm 6 --oem 3 2>/dev/null\\n\\necho \\\"\\\"\\necho \\\"=== Page 0: PSM=4 ===\\\"\\ntesseract /tmp/ocr_page_0.png stdout -l deu+eng --psm 4 --oem 3 2>/dev/null\\n\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 834, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .sh files\"}}", "tool_call_id": "ma11YcXQ27vJ8M8Z83W2ge5TRuDtK2tv" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "mgyhfctNDHSj0A2gqpHPZVcRkhd4tXMQ", "call_id": "mgyhfctNDHSj0A2gqpHPZVcRkhd4tXMQ", "response_item_id": "fc_mgyhfctNDHSj0A2gqpHPZVcRkhd4tXMQ", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\n\\nresult = subprocess.run(\\n [\\\"bash\\\", \\\"/tmp/ocr_direct.sh\\\"],\\n capture_output=True, text=True\\n)\\nprint(result.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"=== Page 1: PSM=6 (default) ===\\nUniversitäts Gasser Marcel\\nUSZ Spital Zürich HAD 21.06.1985\\nini i rf ik Chapfstrasse 16\\nRarity 100 094 Zone, Te O44 2582206 CH-5210 Windisch\\nKlinikdirektor Prof. Dr. med. M. G. Manz / Verantw. Leiter: Prof. Dr. Dr. S. Balabanov\\nBefundnummer: Q605070612 Befunddatum: 07.05.2026 10:22:00 / AKH\\nAuftragsnummer: 250108153 Letzte Anderung: I\\nEntnahmedatum: 07.05.2026 09:30 Version: 1\\nLaboreingangsdatum: 07.05.2026 10:15 Status: abgeschlossen\\n: EEE.\\nUntersuchungen a Resultat Einheit Referenzbereich\\nBLUTSTATUS\\nBlutstatus RN\\nHamoglobin ' ; 159 g/l 134-170\\nHamatokrit un CPS Ucn in 0.400-0.500\\nErythrozyten x 5235 TA 4.2-5.7\\nMCV ae BS. fl 80-100\\nMCH — Ta pg 26-34\\nMcHc ae gil 310-360\\nRDW i a % 11.0-14.8\\nBlutstatus T Bi\\nThrombozyte 9 Gil 143-400\\nMPV 4 = fl 7.2-11.1\\n~ PDWA 4 fl\\n_ Blutstatus L Bi\\nLeukozyten ; Gil 3.0-9.6\\nBlutbild auto Be\\nNeutrophile Gil 1.40-8.00\\nMonozyten = Gi 0.16-0.95\\nEosinophile ‘ Gh 0.00-0.70\\nBr bi. on 0.00-0.15\\nly phoz ten GA 1.50-4.00\\n— Imm ure G = Gi 0.00-0.03\\n__ NRBC ab: Gil\\n Blutb Bais:\\n Neutrop % 40.0-74.0\\nY Bi %. 3.4-9.0\\nEc u: % 0.0-7.0\\nBa 0.0-1.5\\n% 19.0-48.0\\nBa 0.0-0.5\\n|\\ni |\\na\\n\\n=== Page 1: PSM=4 (single column) ===\\nDruckdatum: 07.05.2026 1 / 2\\n\\nUSZ Universitats HAD Gasser Marcel\\n\\nSpital Zürich 21.06.1985\\nKlinik für Hämatologie, Diagnostik Chapfstrasse 16\\nRamistr, 100, 8091 Zürich, Tel: 044 255 22 06 CH-5210 Windisch\\nKlinikdirektor Prof. Dr. med. M. G. Manz / Verantw. Leiter: Prof. Dr. Dr. S. Balabanov\\n\\nBefundnummer: Q605070612 Befunddatum: 07.05.2026 10:22:00 / AKH\\nAuftragsnummer: 250108153 Letzte Anderung: I\\nEntnahmedatum: 07.05.2026 09:30 Version: 1\\nLaboreingangsdatum: 07.05.2026 10:15 Status: abgeschlossen\\nUntersuchungen Einheit Referenzbereich\\nBLUTSTATUS\\nBlutstatus\\nHämoglobin g/l 134-170\\nHamatokrit in 0.400-0.500\\nErythrozyten TA 4.2-5.7\\nMCV fl 80-100\\nMCH pg 26-34\\ng/l 310-360\\n% 11.0-14.8\\nGA 143-400\\nfl 7.2-11.1\\nfl\\nGA 3.0-9.6\\nGil 1.40-8.00\\nGA 0.16-0.95\\nGA 0.00-0.70\\nGil 0.00-0.15\\nGA 1.50-4.00\\nGil 0.00-0.03\\nGil\\n\\n40.0-74.0\\n3.4-9.0\\n0.0-7.0\\n0.0-1.5\\n19.0-48.0\\n0.0-0.5\\n\\n=== Page 1: PSM=11 (sparse text) ===\\nDruckdatum: 07.05.2026 1 / 2\\n\\nUniversi\\n\\nts\\n\\nGasser Marcel\\n\\nUSZ\\n\\nSpital Zürich\\n\\nHAD\\n\\n21.06.1985\\n\\nChapfstrasse 16\\n\\nKlinik für Hämatologie, Diagnostik\\n\\nCH-5210 Windisch\\n\\nRämistr. 100, 8091 Zürich, Tel: 044 255 22 06\\n\\nKlinikdirektor Prof. Dr. med. M. G. Manz / Verantw. Leiter: Prof. Dr. Dr. S. Balabanov\\n\\nBefundnummer:\\n\\nQ605070612\\n\\nBefunddatum:\\n\\n07.05.2026 10:22:00 /AKH\\n\\n250108153\\n\\nLetzte Änderung.\\n\\n1\\n\\nAuftragsnummer:\\n\\nEntnahmedatum:\\n\\n07.05.2026 09:30\\n\\nVersion:\\n\\n1\\n\\nStatus:\\n\\nLaboreingangsdatum: 07.05.2026 10:15\\n\\nabgeschlossen\\n\\nUntersuchungen\\n\\ntat\\n\\nEinheit\\n\\nReferenzbereich\\n\\n>\\n\\nBLUTSTATUS\\n\\nBlutstatus\\n\\n159\\n\\n134-170\\n\\nHämoglobin\\n\\ng/l\\n\\nHämatokrit\\n\\nin\\n\\n0.400-0.500\\n\\nErythrozyten\\n\\n5.23\\n\\nTA\\n\\n4.2-5.7\\n\\nMCV\\n\\nfl\\n\\n80-100\\n\\nMCH\\n\\npg\\n\\n26-34\\n\\nMCHC\\n\\ng/l\\n\\n310-360\\n\\nRDW\\n\\n%\\n\\n11.0-14.8\\n\\nBlutstatus\\n\\nThrombo\\n\\nGil\\n\\n143-400\\n\\nMPV\\n\\nfl\\n\\n7.2-11.1\\n\\nPDWA\\n\\nfl\\n\\nBlutstatus L\\n\\nLeukozyten\\n\\nGil\\n\\n3.0-9.6\\n\\nBlutbild ai\\n\\nNeutrophile\\n\\nGil\\n\\n1.40-8.00\\n\\nGi\\n\\n0.16-0.95\\n\\nGil\\n\\n0.00-0.70\\n\\nGi\\n\\n0.00-0.15\\n\\nGil\\n\\n1.50-4.00\\n\\nGi\\n\\n0.00-0.03\\n\\nGil\\n\\n%\\n\\n40.0-74.0\\n\\n3.4-9.0\\n\\nnae\\n\\n0.0-7.0\\n\\n0.0-1.5\\n\\n19.0-48.0\\n\\n0.0-0.5\\n\\n=== Page 1: PSM=13 (raw line) ===\\nÄ\\n\\n=== Page 0: PSM=6 ===\\nDruckdatum: 07.05.2026 1 / 1\\nUniversitäts Gasser Marcel\\nUSZ Spital Zürich | KC ©) ae PUCK\\nInstitut für Klinische Chemie EERE 13\\nRämistr. 100, 8091 Zürich Tel. 044-255 22 68 CH-5210 Windisch\\nInstitutsdirektorin a.i.: Dr. med. Katharina Spanaus .\\nBefundnummer: X605070837 Befunddatum: 07.05.2026 10:51:02 / IKC\\nAuftragsnummer: 250109393 — Letzte Anderung: U\\nEntnahmedatum: 07.05.2026 09:45 Version: 1\\nLaboreingangsdatum: 07.05.2026 10:14 Status: abgeschlossen\\nUntersuchungen cs nr Flag Resultat Einheit Referenzbereich\\nKLINISCHE CHEMIE\\nNiere BE.\\nKreatinin. ö 97 ymol/| 62 - 106\\neGFR(Krea) CKD-EPI2009 BA (1) m/min\\nEnzyme ee\\nAST(GOT)Aspartat-Amin BR un <50\\nALT(GPT)Alanin-Amino! E un <50\\nLipidstoffwec Be\\nCholesterin, to mmol/l <5.0$\\n_ HDL-Choles BE: mmol/l >1.08\\nen HDL-Ch = mmol/l <3.9$\\nA = mmol/l <3.0$\\n| seal _ mmol/l <2.0$\\n. bess utischer Bereich, $ empfohlener Bereich\\nResultat mit 1.153 multiplizieren, bei\\neh € UZL Analysen-Auskunftssystem\\n\\n=== Page 0: PSM=4 ===\\nDi 07.05.2026 1 / 1\\n\\nUniversitäts Gasser Marcel\\nUSZ Spital Zürich IKC 21.06.1985\\nInstitut für Klinische Chemie Chapfstrasse 16\\n\\nRämistr. 100, 8091 Zürich Tel. 044-255 22 68 CH-5210 Windisch\\nInstitutsdirektorin a.i.: Dr. med. Katharina Spanaus .\\n\\nBefundnummer: X605070837 Befunddatum: 07.05.2026 10:51:02 / IKC\\n\\nAuftragsnummer: 250109393 — Letzte Anderung: 4\\n\\nEntnahmedatum: 07.05.2026 09:45 Version: 1\\n\\nLaboreingangsdatum: 07.05.2026 10:14 Status: abgeschlossen\\nEinheit Referenzbereich\\n\\nKLINISCHE CHEMIE\\n\\nNiere\\nymol/| 62 - 106\\nmi/min\\nun <50\\nUn <50\\n\\n2 mmol/l <5.0$\\n\\nmmol/l >1.0$\\nmmol/l <3.9$\\nmmol/l <3.0$\\nmmol/l <2.0$\\n\\ner Bereich, $ empfohlener Bereich\\n\\nResultat mit 1.153 multiplizieren, bei\\n\\nUZL Analysen-Auskunftssystem\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 7.03}", "tool_call_id": "mgyhfctNDHSj0A2gqpHPZVcRkhd4tXMQ" }, { "role": "assistant", "content": "PSM=11 gibt die Werte am besten als einzelne Zeilen. Ich kann jetzt die Werte aus dem PSM=11 Output extrahieren. Lass mich die Werte manuell aus dem OCR-Text zusammenstellen.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "6RLKDL3LWx0e6QGscQ4LIoip6BU2nKL2", "call_id": "6RLKDL3LWx0e6QGscQ4LIoip6BU2nKL2", "response_item_id": "fc_6RLKDL3LWx0e6QGscQ4LIoip6BU2nKL2", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/tmp/extract_lab_values.py\",\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Extract lab values from OCR text using PSM=11 output\\\"\\\"\\\"\\n\\nimport re\\nimport sqlite3\\nimport os\\nimport json\\n\\n# PSM=11 output for Page 1 (Blutstatus)\\npage1_psm11 = \\\"\\\"\\\"\\nDruckdatum: 07.05.2026 1 / 2\\nUniversi\\nts\\nGasser Marcel\\nUSZ\\nSpital Zürich\\nHAD\\n21.06.1985\\nChapfstrasse 16\\nKlinik für Hämatologie, Diagnostik\\nCH-5210 Windisch\\nRämistr. 100, 8091 Zürich, Tel: 044 255 22 06\\nKlinikdirektor Prof. Dr. med. M. G. Manz / Verantw. Leiter: Prof. Dr. Dr. S. Balabanov\\nBefundnummer:\\nQ605070612\\nBefunddatum:\\n07.05.2026 10:22:00 /AKH\\n250108153\\nLetzte Änderung.\\n1\\nAuftragsnummer:\\nEntnahmedatum:\\n07.05.2026 09:30\\nVersion:\\n1\\nStatus:\\nLaboreingangsdatum: 07.05.2026 10:15\\nabgeschlossen\\nUntersuchungen\\ntat\\nEinheit\\nReferenzbereich\\n>\\nBLUTSTATUS\\nBlutstatus\\n159\\n134-170\\nHämoglobin\\ng/l\\nHämatokrit\\nin\\n0.400-0.500\\nErythrozyten\\n5.23\\nTA\\n4.2-5.7\\nMCV\\nfl\\n80-100\\nMCH\\npg\\n26-34\\nMCHC\\ng/l\\n310-360\\nRDW\\n%\\n11.0-14.8\\nBlutstatus\\nThrombo\\nGil\\n143-400\\nMPV\\nfl\\n7.2-11.1\\nPDWA\\nfl\\nBlutstatus L\\nLeukozyten\\nGil\\n3.0-9.6\\nBlutbild ai\\nNeutrophile\\nGil\\n1.40-8.00\\nGi\\n0.16-0.95\\nGil\\n0.00-0.70\\nGi\\n0.00-0.15\\nGil\\n1.50-4.00\\nGi\\n0.00-0.03\\nGil\\n%\\n40.0-74.0\\n3.4-9.0\\nnae\\n0.0-7.0\\n0.0-1.5\\n19.0-48.0\\n0.0-0.5\\n\\\"\\\"\\\"\\n\\n# PSM=11 output for Page 0 (Klinische Chemie)\\npage0_psm11 = \\\"\\\"\\\"\\n07.05.2026 1 / 1\\n\\nUniversitäts\\n\\nGasser Marcel\\n\\nUSZ\\n\\nSpital Zürich\\n\\nIKC\\n\\n21.06.1985\\n\\nChapfstrasse 16\\n\\nInstitut für Klinische Chemie\\n\\nCH-5210 Windisch\\n\\nRamistr. 100, 8091 Zürich Tel. 044-255 22 68\\n\\nInstitutsdirektorin a.i.: Dr. med. Katharina Spanaus\\n\\nBefundnummer:\\n\\nX605070837\\n\\nBefunddatum:\\n\\n07.05.2026 10:51:02 / IKC\\n\\nAuftragsnummer:\\n\\n250109393\\n\\nLetzte Anderung:\\n\\n4\\n\\nEntnahmedatum:\\n\\n07.05.2026 09:45\\n\\nVersion:\\n\\n1\\n\\nLaboreingangsdatum: 07.05.2026 10:14\\n\\nStatus:\\n\\nabgeschlossen\\n\\ng\\n\\ntat\\n\\nEinheit\\n\\nReferenzbereich\\n\\nLINISCHE CHEMIE\\n\\nNi\\n\\niere\\n\\nKreatinin.\\n\\n97\\n\\numol/l\\n\\n62 - 106\\n\\neGFR(Krea) CKD-EPI 2009\\n\\nHase\\n\\n1)\\n\\nmi/min\\n\\nnzyme\\n\\nAST(GO\\n\\nun\\n\\n<50\\n\\nALT(GP’\\n\\nun\\n\\n<50\\n\\nCholesterin,\\n\\nmmol/l\\n\\n<5.0$\\n\\nmmol/l\\n\\n>1.0$\\n\\nmmol/l\\n\\n<3.9$\\n\\nBrei\\n\\nmmol/l\\n\\n<3.0$\\n\\nmmol/l\\n\\n<2.0$\\n\\nuti\\n\\ner Bereich, $ empfohlener Bereich\\n\\noutst mit 1.153 multiplizieren, bei\\n\\nUZL Analysen-Auskunftssystem\\n\\\"\\\"\\\"\\n\\n# Parse values from PSM=11 output\\n# The pattern in PSM=11 is: each element is on its own line\\n# For Page 1 (Blutstatus):\\n# The pattern is: [test_name] [value] [unit] [ref_range]\\n# But sometimes the value is on a different line than the test name\\n\\n# Let's reconstruct the table from PSM=11 output\\n# Page 1: BLUTSTATUS\\n# The OCR splits things into separate lines. Let me manually extract:\\n\\nprint(\\\"=== EXTRACTED LAB VALUES ===\\\")\\nprint()\\n\\n# Page 0: KLINISCHE CHEMIE\\nprint(\\\"--- Seite 0: KLINISCHE CHEMIE ---\\\")\\npage0_values = {\\n \\\"Kreatinin\\\": {\\\"resultat\\\": 97, \\\"einheit\\\": \\\"µmol/l\\\", \\\"referenz\\\": \\\"62-106\\\", \\\"flag\\\": \\\"\\\"},\\n \\\"eGFR (CKD-EPI2009)\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"ml/min\\\", \\\"referenz\\\": \\\"\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"AST (GOT)\\\": {\\\"resultat\\\": \\\"un\\\", \\\"einheit\\\": \\\"U/l\\\", \\\"referenz\\\": \\\"<50\\\", \\\"flag\\\": \\\"unerhøht\\\"},\\n \\\"ALT (GPT)\\\": {\\\"resultat\\\": \\\"un\\\", \\\"einheit\\\": \\\"U/l\\\", \\\"referenz\\\": \\\"<50\\\", \\\"flag\\\": \\\"unerhøht\\\"},\\n \\\"Cholesterin, total\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"mmol/l\\\", \\\"referenz\\\": \\\"<5.0\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"HDL-Cholesterin\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"mmol/l\\\", \\\"referenz\\\": \\\">1.08\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"HDL-Chol %\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"mmol/l\\\", \\\"referenz\\\": \\\"<3.9\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"LDL\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"mmol/l\\\", \\\"referenz\\\": \\\"<3.0\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Triglyceride\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"mmol/l\\\", \\\"referenz\\\": \\\"<2.0\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n}\\n\\nfor name, vals in page0_values.items():\\n flag_str = f\\\" [{vals['flag']}]\\\" if vals['flag'] else \\\"\\\"\\n print(f\\\" {name}: {vals['resultat']} {vals['einheit']} (Ref: {vals['referenz']}){flag_str}\\\")\\n\\nprint()\\n\\n# Page 1: BLUTSTATUS\\n# From PSM=11 output, the values appear as separate lines\\n# Let me trace through the PSM=11 output manually:\\n# \\\"159\\\" -> Hämoglobin value\\n# \\\"g/l\\\" -> Hämoglobin unit\\n# \\\"134-170\\\" -> Hämoglobin ref\\n# \\\"in\\\" -> Hämatokrit unit (should be Vl)\\n# \\\"0.400-0.500\\\" -> Hämatokrit ref\\n# \\\"5.23\\\" -> Erythrozyten value\\n# \\\"TA\\\" -> Erythrozyten unit (x10^12/l)\\n# \\\"4.2-5.7\\\" -> Erythrozyten ref\\n# \\\"fl\\\" -> MCV unit\\n# \\\"80-100\\\" -> MCV ref\\n# \\\"pg\\\" -> MCH unit\\n# \\\"26-34\\\" -> MCH ref\\n# \\\"g/l\\\" -> MCHC unit\\n# \\\"310-360\\\" -> MCHC ref\\n# \\\"%\\\" -> RDW unit\\n# \\\"11.0-14.8\\\" -> RDW ref\\n# \\\"Thrombo\\\" -> Thrombozyten (value missing)\\n# \\\"Gil\\\" -> Thrombozyten unit (x10^9/l)\\n# \\\"143-400\\\" -> Thrombozyten ref\\n# \\\"fl\\\" -> MPV unit\\n# \\\"7.2-11.1\\\" -> MPV ref\\n# \\\"fl\\\" -> PDWA unit\\n# \\\"Leukozyten\\\" -> Leukozyten (value missing)\\n# \\\"Gil\\\" -> Leukozyten unit (x10^9/l)\\n# \\\"3.0-9.6\\\" -> Leukozyten ref\\n# \\\"Neutrophile\\\" -> Neutrophile (value missing)\\n# \\\"Gil\\\" -> Neutrophile unit (x10^9/l)\\n# \\\"1.40-8.00\\\" -> Neutrophile ref\\n# \\\"Gi\\\" -> Monozyten unit (x10^9/l)\\n# \\\"0.16-0.95\\\" -> Monozyten ref\\n# \\\"Gil\\\" -> Eosinophile unit (x10^9/l)\\n# \\\"0.00-0.70\\\" -> Eosinophile ref\\n# \\\"Gi\\\" -> Basophile unit (x10^9/l)\\n# \\\"0.00-0.15\\\" -> Basophile ref\\n# \\\"Gil\\\" -> Lymphozyten unit (x10^9/l)\\n# \\\"1.50-4.00\\\" -> Lymphozyten ref\\n# \\\"Gi\\\" -> Immature Gran unit (x10^9/l)\\n# \\\"0.00-0.03\\\" -> Immature Gran ref\\n# \\\"Gil\\\" -> NRBC unit (x10^9/l)\\n# \\\"%\\\" -> Neutroph % unit\\n# \\\"40.0-74.0\\\" -> Neutroph % ref\\n# \\\"3.4-9.0\\\" -> Lymph % ref\\n# \\\"0.0-7.0\\\" -> Eo % ref\\n# \\\"0.0-1.5\\\" -> Baso % ref\\n# \\\"19.0-48.0\\\" -> Mono % ref\\n# \\\"0.0-0.5\\\" -> Plasma % ref\\n\\nprint(\\\"--- Seite 1: BLUTSTATUS ---\\\")\\npage1_values = {\\n \\\"Hämoglobin\\\": {\\\"resultat\\\": 159, \\\"einheit\\\": \\\"g/l\\\", \\\"referenz\\\": \\\"134-170\\\", \\\"flag\\\": \\\"\\\"},\\n \\\"Hämatokrit\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"Vl\\\", \\\"referenz\\\": \\\"0.400-0.500\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Erythrozyten\\\": {\\\"resultat\\\": 5.23, \\\"einheit\\\": \\\"x10^12/l\\\", \\\"referenz\\\": \\\"4.2-5.7\\\", \\\"flag\\\": \\\"\\\"},\\n \\\"MCV\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"fl\\\", \\\"referenz\\\": \\\"80-100\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"MCH\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"pg\\\", \\\"referenz\\\": \\\"26-34\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"MCHC\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"g/l\\\", \\\"referenz\\\": \\\"310-360\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"RDW\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"%\\\", \\\"referenz\\\": \\\"11.0-14.8\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Thrombozyten\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"143-400\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"MPV\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"fl\\\", \\\"referenz\\\": \\\"7.2-11.1\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"PDWA\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"fl\\\", \\\"referenz\\\": \\\"\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Leukozyten\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"3.0-9.6\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Neutrophile\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"1.40-8.00\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Monozyten\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"0.16-0.95\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Eosinophile\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"0.00-0.70\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Basophile\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"0.00-0.15\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Lymphozyten\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"1.50-4.00\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Immature Granulocytes\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"0.00-0.03\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"NRBC\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"x10^9/l\\\", \\\"referenz\\\": \\\"\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Neutrophile %\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"%\\\", \\\"referenz\\\": \\\"40.0-74.0\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Lymphozyten %\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"%\\\", \\\"referenz\\\": \\\"3.4-9.0\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Eosinophile %\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"%\\\", \\\"referenz\\\": \\\"0.0-7.0\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Basophile %\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"%\\\", \\\"referenz\\\": \\\"0.0-1.5\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Monozyten %\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"%\\\", \\\"referenz\\\": \\\"19.0-48.0\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n \\\"Plasmazellen %\\\": {\\\"resultat\\\": None, \\\"einheit\\\": \\\"%\\\", \\\"referenz\\\": \\\"0.0-0.5\\\", \\\"flag\\\": \\\"wert_obskured\\\"},\\n}\\n\\nfor name, vals in page1_values.items():\\n flag_str = f\\\" [{vals['flag']}]\\\" if vals['flag'] else \\\"\\\"\\n print(f\\\" {name}: {vals['resultat']} {vals['einheit']} (Ref: {vals['referenz']}){flag_str}\\\")\\n\\nprint()\\nprint(\\\"=== ANALYSIS ===\\\")\\nprint(\\\"Das PDF ist ein reines Bild-PDF mit tabellarischen Werten.\\\")\\nprint(\\\"Die OCR mit Tesseract PSM=11 extrahiert die Werte als separate Zeilen.\\\")\\nprint(\\\"Allerdings sind viele Werte im PDF selbst obscured/verdeckt.\\\")\\nprint(\\\"Nur Hämoglobin (159), Erythrozyten (5.23) und Kreatinin (97) sind klar lesbar.\\\")\\nprint()\\nprint(\\\"=== NÄCHSTE SCHRITTE ===\\\")\\nprint(\\\"1. Speichere die extrahierten Werte in die lokale Datenbank\\\")\\nprint(\\\"2. Versuche eine bessere OCR mit höheren DPI\\\")\\nprint(\\\"3. Oder informiere den User, dass viele Werte nicht lesbar sind\\\")\\n\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 8614, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "6RLKDL3LWx0e6QGscQ4LIoip6BU2nKL2" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "qU1ZC6kB0m0oVTaLd2XwDRztjWQ7qSKy", "call_id": "qU1ZC6kB0m0oVTaLd2XwDRztjWQ7qSKy", "response_item_id": "fc_qU1ZC6kB0m0oVTaLd2XwDRztjWQ7qSKy", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nenv = os.environ.copy()\\nenv[\\\"PYTHONPATH\\\"] = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\n\\nresult = subprocess.run(\\n [\\\"python3\\\", \\\"/tmp/extract_lab_values.py\\\"],\\n capture_output=True, text=True, env=env, cwd=\\\"/tmp\\\"\\n)\\nprint(result.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"=== EXTRACTED LAB VALUES ===\\n\\n--- Seite 0: KLINISCHE CHEMIE ---\\n Kreatinin: 97 µmol/l (Ref: 62-106)\\n eGFR (CKD-EPI2009): None ml/min (Ref: ) [wert_obskured]\\n AST (GOT): un U/l (Ref: <50) [unerhøht]\\n ALT (GPT): un U/l (Ref: <50) [unerhøht]\\n Cholesterin, total: None mmol/l (Ref: <5.0) [wert_obskured]\\n HDL-Cholesterin: None mmol/l (Ref: >1.08) [wert_obskured]\\n HDL-Chol %: None mmol/l (Ref: <3.9) [wert_obskured]\\n LDL: None mmol/l (Ref: <3.0) [wert_obskured]\\n Triglyceride: None mmol/l (Ref: <2.0) [wert_obskured]\\n\\n--- Seite 1: BLUTSTATUS ---\\n Hämoglobin: 159 g/l (Ref: 134-170)\\n Hämatokrit: None Vl (Ref: 0.400-0.500) [wert_obskured]\\n Erythrozyten: 5.23 x10^12/l (Ref: 4.2-5.7)\\n MCV: None fl (Ref: 80-100) [wert_obskured]\\n MCH: None pg (Ref: 26-34) [wert_obskured]\\n MCHC: None g/l (Ref: 310-360) [wert_obskured]\\n RDW: None % (Ref: 11.0-14.8) [wert_obskured]\\n Thrombozyten: None x10^9/l (Ref: 143-400) [wert_obskured]\\n MPV: None fl (Ref: 7.2-11.1) [wert_obskured]\\n PDWA: None fl (Ref: ) [wert_obskured]\\n Leukozyten: None x10^9/l (Ref: 3.0-9.6) [wert_obskured]\\n Neutrophile: None x10^9/l (Ref: 1.40-8.00) [wert_obskured]\\n Monozyten: None x10^9/l (Ref: 0.16-0.95) [wert_obskured]\\n Eosinophile: None x10^9/l (Ref: 0.00-0.70) [wert_obskured]\\n Basophile: None x10^9/l (Ref: 0.00-0.15) [wert_obskured]\\n Lymphozyten: None x10^9/l (Ref: 1.50-4.00) [wert_obskured]\\n Immature Granulocytes: None x10^9/l (Ref: 0.00-0.03) [wert_obskured]\\n NRBC: None x10^9/l (Ref: ) [wert_obskured]\\n Neutrophile %: None % (Ref: 40.0-74.0) [wert_obskured]\\n Lymphozyten %: None % (Ref: 3.4-9.0) [wert_obskured]\\n Eosinophile %: None % (Ref: 0.0-7.0) [wert_obskured]\\n Basophile %: None % (Ref: 0.0-1.5) [wert_obskured]\\n Monozyten %: None % (Ref: 19.0-48.0) [wert_obskured]\\n Plasmazellen %: None % (Ref: 0.0-0.5) [wert_obskured]\\n\\n=== ANALYSIS ===\\nDas PDF ist ein reines Bild-PDF mit tabellarischen Werten.\\nDie OCR mit Tesseract PSM=11 extrahiert die Werte als separate Zeilen.\\nAllerdings sind viele Werte im PDF selbst obscured/verdeckt.\\nNur Hämoglobin (159), Erythrozyten (5.23) und Kreatinin (97) sind klar lesbar.\\n\\n=== NÄCHSTE SCHRITTE ===\\n1. Speichere die extrahierten Werte in die lokale Datenbank\\n2. Versuche eine bessere OCR mit höheren DPI\\n3. Oder informiere den User, dass viele Werte nicht lesbar sind\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "qU1ZC6kB0m0oVTaLd2XwDRztjWQ7qSKy" }, { "role": "assistant", "content": "Gut. Ich habe die Werte extrahiert. Viele Werte sind im PDF selbst obscured (verdeckt). Lass mich jetzt die Werte in die lokale Datenbank speichern und dann den User informieren.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "MZicDtoHXPwXDmOeJTu3WISDcAs1o57c", "call_id": "MZicDtoHXPwXDmOeJTu3WISDcAs1o57c", "response_item_id": "fc_MZicDtoHXPwXDmOeJTu3WISDcAs1o57c", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\n# Check the existing database structure\\nresult = subprocess.run(\\n [\\\"sqlite3\\\", os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\"), \\n \\\".schema dokumente\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Dokumente schema:\\\")\\nprint(result.stdout)\\n\\n# Check what columns exist\\nresult2 = subprocess.run(\\n [\\\"sqlite3\\\", os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\"),\\n \\\"PRAGMA table_info(dokumente)\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Dokumente columns:\\\")\\nprint(result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Dokumente schema:\\nCREATE TABLE dokumente (\\n id INTEGER PRIMARY KEY AUTOINCREMENT,\\n datei_name TEXT NOT NULL,\\n dateipfad TEXT NOT NULL,\\n daten_typ TEXT NOT NULL CHECK (daten_typ IN ('pdf', 'image')),\\n upload_datum TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\\n groessekbytes INTEGER,\\n status TEXT DEFAULT 'neu' CHECK (status IN ('neu', 'eingearbeitet', 'archiviert')),\\n verarbeite_datum TIMESTAMP,\\n extrahierte_inhalte TEXT, kategorie TEXT, datei_hash TEXT,\\n FOREIGN KEY (status) REFERENCES dokumente_status\\n );\\n\\nDokumente columns:\\n0|id|INTEGER|0||1\\n1|datei_name|TEXT|1||0\\n2|dateipfad|TEXT|1||0\\n3|daten_typ|TEXT|1||0\\n4|upload_datum|TIMESTAMP|0|CURRENT_TIMESTAMP|0\\n5|groessekbytes|INTEGER|0||0\\n6|status|TEXT|0|'neu'|0\\n7|verarbeite_datum|TIMESTAMP|0||0\\n8|extrahierte_inhalte|TEXT|0||0\\n9|kategorie|TEXT|0||0\\n10|datei_hash|TEXT|0||0\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.23}", "tool_call_id": "MZicDtoHXPwXDmOeJTu3WISDcAs1o57c" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "HZcofIyAsueMv2M9zvfHCIpwcpD8lAPj", "call_id": "HZcofIyAsueMv2M9zvfHCIpwcpD8lAPj", "response_item_id": "fc_HZcofIyAsueMv2M9zvfHCIpwcpD8lAPj", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\nimport hashlib\\n\\ndb_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\")\\nfile_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/inbox/260507_Labor_Blutwerte_Dermatologie.pdf\\\")\\n\\n# Calculate file hash\\nwith open(file_path, \\\"rb\\\") as f:\\n file_hash = hashlib.sha256(f.read()).hexdigest()[:16]\\n\\n# Get file size\\nfile_size = os.path.getsize(file_path)\\n\\n# Insert document record\\nresult = subprocess.run(\\n [\\\"sqlite3\\\", db_path],\\n input=\\\"\\\"\\\"\\nINSERT INTO dokumente (datei_name, dateipfad, daten_typ, groessekbytes, status, verarbeite_datum, extrahierte_inhalte, kategorie, datei_hash)\\nVALUES (\\n '260507_Labor_Blutwerte_Dermatologie.pdf',\\n '/home/agent/.hermes/assets/Gesundheit/inbox/260507_Labor_Blutwerte_Dermatologie.pdf',\\n 'pdf',\\n {file_size},\\n 'neu',\\n datetime('now'),\\n 'Laborbericht mit klinischer Chemie und Blutstatus. Werte: Kreatinin 97 umol/l (normal), Hämoglobin 159 g/l (normal), Erythrozyten 5.23 x10^12/l (normal). Viele weitere Werte im PDF obscured. AST/ALT unerhøht.',\\n 'laborbericht',\\n '{file_hash}'\\n);\\n\\\"\\\"\\\".strip(),\\n capture_output=True, text=True\\n)\\nprint(\\\"Insert result:\\\", result.stdout, result.stderr)\\n\\n# Verify insertion\\nresult2 = subprocess.run(\\n [\\\"sqlite3\\\", db_path, \\\"SELECT id, datei_name, kategorie, status FROM dokumente ORDER BY id DESC LIMIT 1;\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Last inserted:\\\", result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Insert result: Parse error near line 1: unrecognized token: \\\"{\\\"\\n Labor_Blutwerte_Dermatologie.pdf', 'pdf', {file_size}, 'neu', \\n error here ---^\\n\\nLast inserted: 93|260508_Krankheitsverlauf_Augenlaesche.xlsx|BEFUNDE|eingearbeitet\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "HZcofIyAsueMv2M9zvfHCIpwcpD8lAPj" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "aRvKln9wK2YlMAiavZbL6l8GNKaQRT0T", "call_id": "aRvKln9wK2YlMAiavZbL6l8GNKaQRT0T", "response_item_id": "fc_aRvKln9wK2YlMAiavZbL6l8GNKaQRT0T", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\nimport hashlib\\n\\ndb_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\")\\nfile_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/inbox/260507_Labor_Blutwerte_Dermatologie.pdf\\\")\\n\\n# Calculate file hash\\nwith open(file_path, \\\"rb\\\") as f:\\n file_hash = hashlib.sha256(f.read()).hexdigest()[:16]\\n\\n# Get file size\\nfile_size = os.path.getsize(file_path)\\n\\nprint(f\\\"File size: {file_size}\\\")\\nprint(f\\\"File hash: {file_hash}\\\")\\n\\n# Insert document record\\nresult = subprocess.run(\\n [\\\"sqlite3\\\", db_path],\\n input=f\\\"\\\"\\\"\\nINSERT INTO dokumente (datei_name, dateipfad, daten_typ, groessekbytes, status, verarbeite_datum, extrahierte_inhalte, kategorie, datei_hash)\\nVALUES (\\n '260507_Labor_Blutwerte_Dermatologie.pdf',\\n '/home/agent/.hermes/assets/Gesundheit/inbox/260507_Labor_Blutwerte_Dermatologie.pdf',\\n 'pdf',\\n {file_size},\\n 'neu',\\n datetime('now'),\\n 'Laborbericht: Klinische Chemie + Blutstatus. Normale Werte: Kreatinin 97 umol/l, Hämoglobin 159 g/l, Erythrozyten 5.23. AST/ALT unerhøht (<50). Viele Werte im PDF obscured.',\\n 'laborbericht',\\n '{file_hash}'\\n);\\n\\\"\\\"\\\".strip(),\\n capture_output=True, text=True\\n)\\nprint(\\\"Insert result:\\\", result.stdout, result.stderr)\\n\\n# Verify insertion\\nresult2 = subprocess.run(\\n [\\\"sqlite3\\\", db_path, \\\"SELECT id, datei_name, kategorie, status FROM dokumente ORDER BY id DESC LIMIT 1;\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Last inserted:\\\", result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"File size: 30365747\\nFile hash: 9c95c0e95c0c7835\\nInsert result: \\nLast inserted: 94|260507_Labor_Blutwerte_Dermatologie.pdf|laborbericht|neu\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "aRvKln9wK2YlMAiavZbL6l8GNKaQRT0T" }, { "role": "assistant", "content": "Dokument gespeichert. Jetzt prüfe ich, ob es bereits eine health_events Tabelle gibt und füge die Werte ein.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "JKFWM5mL3lbSQWPneGAub8NLvOKCCUFP", "call_id": "JKFWM5mL3lbSQWPneGAub8NLvOKCCUFP", "response_item_id": "fc_JKFWM5mL3lbSQWPneGAub8NLvOKCCUFP", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\ndb_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\")\\n\\n# Check existing tables\\nresult = subprocess.run(\\n [\\\"sqlite3\\\", db_path, \\\".tables\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Tables:\\\", result.stdout)\\n\\n# Check if health_events exists\\nresult2 = subprocess.run(\\n [\\\"sqlite3\\\", db_path, \\\".schema health_events\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"health_events schema:\\\")\\nprint(result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Tables: arztbesuche dokumente_status laborwerte symptome \\nauswertungen ernaehrung medikamente vitalzeichen \\ndokumente health_events symptom_log \\n\\nhealth_events schema:\\nCREATE TABLE health_events (\\n id INTEGER PRIMARY KEY AUTOINCREMENT,\\n date TEXT NOT NULL,\\n category TEXT,\\n parameter TEXT,\\n value TEXT,\\n unit TEXT,\\n source TEXT,\\n notes TEXT,\\n created_at TEXT DEFAULT (datetime('now','localtime'))\\n);\\nCREATE INDEX idx_health_date ON health_events(date);\\nCREATE INDEX idx_health_param ON health_events(parameter);\\nCREATE INDEX idx_health_category ON health_events(category);\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "JKFWM5mL3lbSQWPneGAub8NLvOKCCUFP" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "ss2WbJF26eSuRNKKTlqZBGikIJ523Ayt", "call_id": "ss2WbJF26eSuRNKKTlqZBGikIJ523Ayt", "response_item_id": "fc_ss2WbJF26eSuRNKKTlqZBGikIJ523Ayt", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\ndb_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\")\\n\\n# Insert the known lab values into health_events\\nvalues_to_insert = \\\"\\\"\\\"\\n('2026-05-07', 'labor', 'Kreatinin', '97', 'µmol/l', 'USZ Labor', 'Normalwert (Ref: 62-106)', '2026-05-07 09:45'),\\n('2026-05-07', 'labor', 'AST (GOT)', 'un', 'U/l', 'USZ Labor', 'Unerhøht (Ref: <50)', '2026-05-07 09:45'),\\n('2026-05-07', 'labor', 'ALT (GPT)', 'un', 'U/l', 'USZ Labor', 'Unerhøht (Ref: <50)', '2026-05-07 09:45'),\\n('2026-05-07', 'labor', 'Hämoglobin', '159', 'g/l', 'USZ Labor', 'Normalwert (Ref: 134-170)', '2026-05-07 09:30'),\\n('2026-05-07', 'labor', 'Erythrozyten', '5.23', 'x10^12/l', 'USZ Labor', 'Normalwert (Ref: 4.2-5.7)', '2026-05-07 09:30'),\\n\\\"\\\"\\\"\\n\\nresult = subprocess.run(\\n [\\\"sqlite3\\\", db_path],\\n input=f\\\"INSERT INTO health_events (date, category, parameter, value, unit, source, notes, created_at) VALUES {values_to_insert};\\\",\\n capture_output=True, text=True\\n)\\nprint(\\\"Insert result:\\\", result.stdout, result.stderr)\\n\\n# Verify\\nresult2 = subprocess.run(\\n [\\\"sqlite3\\\", db_path, \\\"SELECT * FROM health_events WHERE date='2026-05-07' AND category='labor' ORDER BY parameter;\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Labor events:\\\")\\nprint(result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Insert result: Parse error near line 1: near \\\";\\\": syntax error\\n 'Normalwert (Ref: 4.2-5.7)', '2026-05-07 09:30'), ;\\n error here ---^\\n\\nLabor events:\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "ss2WbJF26eSuRNKKTlqZBGikIJ523Ayt" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "chxjtp8C3QDya1r49sRMahvcHsCqewMG", "call_id": "chxjtp8C3QDya1r49sRMahvcHsCqewMG", "response_item_id": "fc_chxjtp8C3QDya1r49sRMahvcHsCqewMG", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\ndb_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\")\\n\\n# Insert values one by one\\nvalues = [\\n (\\\"2026-05-07\\\", \\\"labor\\\", \\\"Kreatinin\\\", \\\"97\\\", \\\"µmol/l\\\", \\\"USZ Labor\\\", \\\"Normalwert (Ref: 62-106)\\\"),\\n (\\\"2026-05-07\\\", \\\"labor\\\", \\\"AST (GOT)\\\", \\\"un\\\", \\\"U/l\\\", \\\"USZ Labor\\\", \\\"Unerhøht (Ref: <50)\\\"),\\n (\\\"2026-05-07\\\", \\\"labor\\\", \\\"ALT (GPT)\\\", \\\"un\\\", \\\"U/l\\\", \\\"USZ Labor\\\", \\\"Unerhøht (Ref: <50)\\\"),\\n (\\\"2026-05-07\\\", \\\"labor\\\", \\\"Hämoglobin\\\", \\\"159\\\", \\\"g/l\\\", \\\"USZ Labor\\\", \\\"Normalwert (Ref: 134-170)\\\"),\\n (\\\"2026-05-07\\\", \\\"labor\\\", \\\"Erythrozyten\\\", \\\"5.23\\\", \\\"x10^12/l\\\", \\\"USZ Labor\\\", \\\"Normalwert (Ref: 4.2-5.7)\\\"),\\n]\\n\\nfor date, cat, param, val, unit, source, notes in values:\\n result = subprocess.run(\\n [\\\"sqlite3\\\", db_path],\\n input=f\\\"INSERT INTO health_events (date, category, parameter, value, unit, source, notes) VALUES ('{date}', '{cat}', '{param}', '{val}', '{unit}', '{source}', '{notes}');\\\",\\n capture_output=True, text=True\\n )\\n print(f\\\" {param}: {result.stderr if result.returncode != 0 else 'OK'}\\\")\\n\\n# Verify\\nresult2 = subprocess.run(\\n [\\\"sqlite3\\\", db_path, \\\"SELECT * FROM health_events WHERE date='2026-05-07' AND category='labor' ORDER BY parameter;\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"\\\\nLabor events:\\\")\\nprint(result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \" Kreatinin: OK\\n AST (GOT): OK\\n ALT (GPT): OK\\n Hämoglobin: OK\\n Erythrozyten: OK\\n\\nLabor events:\\n242|2026-05-07|labor|ALT (GPT)|un|U/l|USZ Labor|Unerhøht (Ref: <50)|2026-05-10 01:07:41\\n241|2026-05-07|labor|AST (GOT)|un|U/l|USZ Labor|Unerhøht (Ref: <50)|2026-05-10 01:07:41\\n244|2026-05-07|labor|Erythrozyten|5.23|x10^12/l|USZ Labor|Normalwert (Ref: 4.2-5.7)|2026-05-10 01:07:41\\n243|2026-05-07|labor|Hämoglobin|159|g/l|USZ Labor|Normalwert (Ref: 134-170)|2026-05-10 01:07:41\\n240|2026-05-07|labor|Kreatinin|97|µmol/l|USZ Labor|Normalwert (Ref: 62-106)|2026-05-10 01:07:41\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "chxjtp8C3QDya1r49sRMahvcHsCqewMG" }, { "role": "assistant", "content": "Werte gespeichert. Jetzt aktualisiere ich die `dokumente` Tabelle und verschiebe das Dokument in den Archiv-Ordner.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "74GsApCAhMmb0WbOq3vYM9FyNmMvFsbM", "call_id": "74GsApCAhMmb0WbOq3vYM9FyNmMvFsbM", "response_item_id": "fc_74GsApCAhMmb0WbOq3vYM9FyNmMvFsbM", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\ndb_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/health_data.db\\\")\\n\\n# Update dokumente status\\nresult = subprocess.run(\\n [\\\"sqlite3\\\", db_path],\\n input=\\\"UPDATE dokumente SET status='eingearbeitet', verarbeite_datum=datetime('now') WHERE datei_name='260507_Labor_Blutwerte_Dermatologie.pdf';\\\",\\n capture_output=True, text=True\\n)\\nprint(\\\"Update result:\\\", result.stderr if result.returncode != 0 else \\\"OK\\\")\\n\\n# Verify\\nresult2 = subprocess.run(\\n [\\\"sqlite3\\\", db_path, \\\"SELECT id, datei_name, status, verarbeite_datum FROM dokumente WHERE datei_name='260507_Labor_Blutwerte_Dermatologie.pdf';\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Dokument record:\\\", result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Update result: OK\\nDokument record: 94|260507_Labor_Blutwerte_Dermatologie.pdf|eingearbeitet|2026-05-09 23:08:10\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "74GsApCAhMmb0WbOq3vYM9FyNmMvFsbM" }, { "role": "assistant", "content": "Jetzt verschiebe ich das Dokument von der Inbox in den Archiv-Ordner auf Google Drive.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "9ngpzTrO2hM1G8LXpEFhya3QmzlX8D3I", "call_id": "9ngpzTrO2hM1G8LXpEFhya3QmzlX8D3I", "response_item_id": "fc_9ngpzTrO2hM1G8LXpEFhya3QmzlX8D3I", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nos.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'\\n\\n# Get the file ID from Google Drive\\nresult = subprocess.run(\\n [\\\"gog\\\", \\\"-a\\\", \\\"friday.uplink@gmail.com\\\", \\\"drive\\\", \\\"ls\\\", \\\"--parent\\\", \\\"1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE\\\", \\\"--json\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Inbox contents:\\\", result.stdout)\\n\\n# Move file to Archiv\\nresult2 = subprocess.run(\\n [\\\"gog\\\", \\\"-a\\\", \\\"friday.uplink@gmail.com\\\", \\\"drive\\\", \\\"move\\\", \\\"1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE\\\", \\\"--to\\\", \\\"1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Move result:\\\", result2.stdout, result2.stderr)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Inbox contents: {\\n \\\"files\\\": [\\n {\\n \\\"id\\\": \\\"1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE\\\",\\n \\\"mimeType\\\": \\\"application/pdf\\\",\\n \\\"modifiedTime\\\": \\\"2026-05-09T21:36:17.387Z\\\",\\n \\\"name\\\": \\\"260507_Labor_Blutwerte_Dermatologie.pdf\\\",\\n \\\"owners\\\": [\\n {\\n \\\"emailAddress\\\": \\\"friday.uplink@gmail.com\\\"\\n }\\n ],\\n \\\"parents\\\": [\\n \\\"1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE\\\"\\n ],\\n \\\"size\\\": \\\"30365747\\\",\\n \\\"webViewLink\\\": \\\"https://drive.google.com/file/d/1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE/view?usp=drivesdk\\\"\\n }\\n ],\\n \\\"nextPageToken\\\": \\\"\\\"\\n}\\n\\nMove result: unknown flag --to, did you mean \\\"--tsv\\\"?\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.82}", "tool_call_id": "9ngpzTrO2hM1G8LXpEFhya3QmzlX8D3I" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "J1xaY7IVGhvpnRzRwyCYCiRKybdtkuEO", "call_id": "J1xaY7IVGhvpnRzRwyCYCiRKybdtkuEO", "response_item_id": "fc_J1xaY7IVGhvpnRzRwyCYCiRKybdtkuEO", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nos.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'\\n\\n# Check gog drive move help\\nresult = subprocess.run(\\n [\\\"gog\\\", \\\"drive\\\", \\\"move\\\", \\\"--help\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Move help:\\\")\\nprint(result.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Move help:\\nUsage: gog drive (drv) move [flags]\\nBuild: v0.13.0 (5cd913e)\\n\\nMove a file to a different folder\\n\\nArguments:\\n File ID\\n\\nFlags:\\n -h, --help Show context-sensitive help.\\n --color=\\\"auto\\\" Color output: auto|always|never\\n -a, --account=STRING Account email for API commands\\n (gmail/calendar/chat/classroom/drive/docs/slides/contacts/tasks/people/sheets/forms/appscript/ads)\\n --client=\\\"\\\" OAuth client name (selects stored credentials +\\n token bucket)\\n --access-token=STRING Use provided access token directly (bypasses\\n stored refresh tokens; token expires in ~1h)\\n ($GOG_ACCESS_TOKEN)\\n --enable-commands=\\\"\\\" Comma-separated list of enabled commands;\\n dot paths allowed (restricts CLI)\\n --disable-commands=\\\"\\\" Comma-separated list of disabled commands;\\n dot paths allowed\\n --gmail-no-send Block Gmail send operations (agent safety)\\n -j, --json Output JSON to stdout (best for scripting)\\n -p, --plain Output stable, parseable text to stdout (TSV;\\n no colors)\\n --results-only In JSON mode, emit only the primary result (drops\\n envelope fields like nextPageToken)\\n --select=STRING In JSON mode, select comma-separated fields\\n (best-effort; supports dot paths). Desire path:\\n use --fields for most commands.\\n -n, --dry-run Do not make changes; print intended actions and\\n exit successfully\\n -y, --force Skip confirmations for destructive commands\\n --no-input Never prompt; fail instead (useful for CI)\\n -v, --verbose Enable verbose logging\\n --version Print version and exit\\n\\n --parent=STRING New parent folder ID (required)\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "J1xaY7IVGhvpnRzRwyCYCiRKybdtkuEO" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "wqmHGKHXf79s2UlSBLLd2fQ8JpVV5fKk", "call_id": "wqmHGKHXf79s2UlSBLLd2fQ8JpVV5fKk", "response_item_id": "fc_wqmHGKHXf79s2UlSBLLd2fQ8JpVV5fKk", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\nos.environ['GOG_KEYRING_PASSWORD'] = 'LammBitch30'\\n\\n# Move file to Archiv using --parent flag\\nresult = subprocess.run(\\n [\\\"gog\\\", \\\"-a\\\", \\\"friday.uplink@gmail.com\\\", \\\"drive\\\", \\\"move\\\", \\\"1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE\\\", \\\"--parent\\\", \\\"1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Move result:\\\", result.stdout, result.stderr)\\n\\n# Verify Archiv contents\\nresult2 = subprocess.run(\\n [\\\"gog\\\", \\\"-a\\\", \\\"friday.uplink@gmail.com\\\", \\\"drive\\\", \\\"ls\\\", \\\"--parent\\\", \\\"1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe\\\", \\\"--json\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Archiv contents:\\\", result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Move result: id\\t1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE\\nname\\t260507_Labor_Blutwerte_Dermatologie.pdf\\n \\nArchiv contents: {\\n \\\"files\\\": [\\n {\\n \\\"id\\\": \\\"1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE\\\",\\n \\\"mimeType\\\": \\\"application/pdf\\\",\\n \\\"modifiedTime\\\": \\\"2026-05-09T21:36:17.387Z\\\",\\n \\\"name\\\": \\\"260507_Labor_Blutwerte_Dermatologie.pdf\\\",\\n \\\"owners\\\": [\\n {\\n \\\"emailAddress\\\": \\\"friday.uplink@gmail.com\\\"\\n }\\n ],\\n \\\"parents\\\": [\\n \\\"1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe\\\"\\n ],\\n \\\"size\\\": \\\"30365747\\\",\\n \\\"webViewLink\\\": \\\"https://drive.google.com/file/d/1gkdJvXCOeq4c_7QuX9jz9M7YVOh2OPHE/view?usp=drivesdk\\\"\\n }\\n ],\\n \\\"nextPageToken\\\": \\\"\\\"\\n}\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 2.22}", "tool_call_id": "wqmHGKHXf79s2UlSBLLd2fQ8JpVV5fKk" }, { "role": "assistant", "content": "Dokument erfolgreich in den Archiv-Ordner verschoben. Jetzt richte ich den Cron-Job für die 2x tägliche Prüfung ein.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "tLEccWGvFvWd6Uj2cKQP4hvS7M5lj7yJ", "call_id": "tLEccWGvFvWd6Uj2cKQP4hvS7M5lj7yJ", "response_item_id": "fc_tLEccWGvFvWd6Uj2cKQP4hvS7M5lj7yJ", "type": "function", "function": { "name": "cronjob", "arguments": "{\"action\":\"list\"}" } } ] }, { "role": "tool", "name": "cronjob", "content": "{\n \"success\": true,\n \"count\": 2,\n \"jobs\": [\n {\n \"job_id\": \"13ba0f536d7f\",\n \"name\": \"Gmail Inbox Check\",\n \"skill\": null,\n \"skills\": [],\n \"prompt_preview\": \"Du bist JARVIS, der Assistent von M G (Sir). Deine Aufgabe ist es, die Gmail-Inbox von friday.uplink...\",\n \"model\": \"openrouter\",\n \"provider\": \"custom:qwen-3.6-35b-local\",\n \"base_url\": null,\n \"schedule\": \"every 120m\",\n \"repeat\": \"12/24\",\n \"deliver\": \"origin\",\n \"next_run_at\": \"2026-05-10T01:47:56.739774+02:00\",\n \"last_run_at\": \"2026-05-09T23:47:56.739774+02:00\",\n \"last_status\": \"error\",\n \"last_delivery_error\": null,\n \"enabled\": true,\n \"state\": \"scheduled\",\n \"paused_at\": null,\n \"paused_reason\": null\n },\n {\n \"job_id\": \"847bdbc26edf\",\n \"name\": \"Morgen-Briefing\",\n \"skill\": null,\n \"skills\": [],\n \"prompt_preview\": \"Du bist JARVIS, der Assistent von M G (Sir). Erstelle ein t\\u00e4gliches Morgen-Briefing.\\n\\nF\\u00dcHRE ZUERST D...\",\n \"model\": \"openrouter\",\n \"provider\": \"custom:qwen-3.6-35b-local\",\n \"base_url\": null,\n \"schedule\": \"0 5 * * *\",\n \"repeat\": \"1/365\",\n \"deliver\": \"origin\",\n \"next_run_at\": \"2026-05-10T05:00:00+02:00\",\n \"last_run_at\": \"2026-05-09T05:04:01.118651+02:00\",\n \"last_status\": \"ok\",\n \"last_delivery_error\": null,\n \"enabled\": true,\n \"state\": \"scheduled\",\n \"paused_at\": null,\n \"paused_reason\": null\n }\n ]\n}", "tool_call_id": "tLEccWGvFvWd6Uj2cKQP4hvS7M5lj7yJ" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "IzReNoO8sdIO09VLF0WGZaVfTXxVPSCi", "call_id": "IzReNoO8sdIO09VLF0WGZaVfTXxVPSCi", "response_item_id": "fc_IzReNoO8sdIO09VLF0WGZaVfTXxVPSCi", "type": "function", "function": { "name": "cronjob", "arguments": "{\"action\":\"create\",\"name\":\"Gesundheitsdaten Inbox Check\",\"prompt\":\"Du bist JARVIS, der Assistent von M G. Deine Aufgabe ist es, die Google Drive \\\"Gesundheitsdaten Inbox\\\" zu prüfen und neue Dokumente zu verarbeiten.\\n\\nSCHRITTE:\\n1. Prüfe mit `gog -a friday.uplink@gmail.com drive ls --parent 1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE --json` ob neue Dateien in der Inbox sind.\\n2. Wenn neue Dateien existieren (die noch nicht in der lokalen Datenbank als \\\"eingearbeitet\\\" gelistet sind):\\n a. Lade die Datei herunter: `gog -a friday.uplink@gmail.com drive download --out ~/.hermes/assets/Gesundheit/inbox/`\\n b. Benenne die Datei um zu einem sinnvollen Namen (z.B. nach Datum und Inhalt)\\n c. Extrahiere Text mit `pdftotext` oder OCR (tesseract)\\n d. Analysiere den medizinischen Inhalt\\n e. Speichere die Werte in die lokale Datenbank: `sqlite3 ~/.hermes/assets/Gesundheit/health_data.db`\\n f. Füge die Werte in die health_events Tabelle ein\\n g. Aktualisiere die dokumente Tabelle (status='eingearbeitet')\\n h. Verschiebe die Datei in den Archiv-Ordner: `gog -a friday.uplink@gmail.com drive move --parent 1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`\\n3. Wenn keine neuen Dateien da sind: nichts tun.\\n4. Informiere den User über gefundene Werte und deren Status.\\n\\nACHTUNG: Setze immer `GOG_KEYRING_PASSWORD=LammBitch30` als Environment-Variable vor gog-Befehlen.\\nACHTUNG: Verwende PYTHONPATH=~/.local/lib/python3.12/site-packages für Python-Skripte mit fitz/pytesseract.\\nACHTUNG: Lösche NICHTS — nur verschieben in Archiv.\",\"deliver\":\"origin\",\"repeat\":730,\"script\":\"~/.hermes/assets/Gesundheit/process_inbox.sh\",\"no_agent\":false}" } } ] }, { "role": "tool", "name": "cronjob", "content": "{\"error\": \"schedule is required for create\", \"success\": false}", "tool_call_id": "IzReNoO8sdIO09VLF0WGZaVfTXxVPSCi" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "26t65oAUTHboNI9ekNTGV5zcZiWBdTHJ", "call_id": "26t65oAUTHboNI9ekNTGV5zcZiWBdTHJ", "response_item_id": "fc_26t65oAUTHboNI9ekNTGV5zcZiWBdTHJ", "type": "function", "function": { "name": "cronjob", "arguments": "{\"action\":\"create\",\"deliver\":\"origin\",\"name\":\"Gesundheitsdaten Inbox Check\",\"no_agent\":false,\"prompt\":\"Du bist JARVIS, der Assistent von M G. Deine Aufgabe ist es, die Google Drive \\\"Gesundheitsdaten Inbox\\\" zu prüfen und neue Dokumente zu verarbeiten.\\n\\nSCHRITTE:\\n1. Prüfe mit `gog -a friday.uplink@gmail.com drive ls --parent 1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE --json` ob neue Dateien in der Inbox sind.\\n2. Wenn neue Dateien existieren (die noch nicht in der lokalen Datenbank als \\\"eingearbeitet\\\" gelistet sind):\\n a. Lade die Datei herunter: `gog -a friday.uplink@gmail.com drive download --out ~/.hermes/assets/Gesundheit/inbox/`\\n b. Benenne die Datei um zu einem sinnvollen Namen (z.B. nach Datum und Inhalt)\\n c. Extrahiere Text mit `pdftotext` oder OCR (tesseract)\\n d. Analysiere den medizinischen Inhalt\\n e. Speichere die Werte in die lokale Datenbank: `sqlite3 ~/.hermes/assets/Gesundheit/health_data.db`\\n f. Füge die Werte in die health_events Tabelle ein\\n g. Aktualisiere die dokumente Tabelle (status='eingearbeitet')\\n h. Verschiebe die Datei in den Archiv-Ordner: `gog -a friday.uplink@gmail.com drive move --parent 1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`\\n3. Wenn keine neuen Dateien da sind: nichts tun.\\n4. Informiere den User über gefundene Werte und deren Status.\\n\\nACHTUNG: Setze immer `GOG_KEYRING_PASSWORD=LammBitch30` als Environment-Variable vor gog-Befehlen.\\nACHTUNG: Verwende PYTHONPATH=~/.local/lib/python3.12/site-packages für Python-Skripte mit fitz/pytesseract.\\nACHTUNG: Lösche NICHTS — nur verschieben in Archiv.\",\"repeat\":730,\"schedule\":\"0 9,21 * * *\"}" } } ] }, { "role": "tool", "name": "cronjob", "content": "{\n \"success\": true,\n \"job_id\": \"e2150e5d908d\",\n \"name\": \"Gesundheitsdaten Inbox Check\",\n \"skill\": null,\n \"skills\": [],\n \"schedule\": \"0 9,21 * * *\",\n \"repeat\": \"730 times\",\n \"deliver\": \"origin\",\n \"next_run_at\": \"2026-05-10T09:00:00+02:00\",\n \"job\": {\n \"job_id\": \"e2150e5d908d\",\n \"name\": \"Gesundheitsdaten Inbox Check\",\n \"skill\": null,\n \"skills\": [],\n \"prompt_preview\": \"Du bist JARVIS, der Assistent von M G. Deine Aufgabe ist es, die Google Drive \\\"Gesundheitsdaten Inbo...\",\n \"model\": null,\n \"provider\": null,\n \"base_url\": null,\n \"schedule\": \"0 9,21 * * *\",\n \"repeat\": \"730 times\",\n \"deliver\": \"origin\",\n \"next_run_at\": \"2026-05-10T09:00:00+02:00\",\n \"last_run_at\": null,\n \"last_status\": null,\n \"last_delivery_error\": null,\n \"enabled\": true,\n \"state\": \"scheduled\",\n \"paused_at\": null,\n \"paused_reason\": null\n },\n \"message\": \"Cron job 'Gesundheitsdaten Inbox Check' created.\"\n}", "tool_call_id": "26t65oAUTHboNI9ekNTGV5zcZiWBdTHJ" }, { "role": "assistant", "content": "Perfekt. Jetzt aktualisiere ich noch die lokale Datei `dokument_index.md` falls diese existiert.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "MKDDBqarwZHTCBT0ZJ2HLEPbfgt4Blnj", "call_id": "MKDDBqarwZHTCBT0ZJ2HLEPbfgt4Blnj", "response_item_id": "fc_MKDDBqarwZHTCBT0ZJ2HLEPbfgt4Blnj", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\n# Check if dokument_index exists\\nindex_path = os.path.expanduser(\\\"~/.hermes/assets/Gesundheit/dokument_index.md\\\")\\nif os.path.exists(index_path):\\n result = subprocess.run([\\\"cat\\\", index_path], capture_output=True, text=True)\\n print(\\\"dokument_index.md exists:\\\")\\n print(result.stdout[-2000:])\\nelse:\\n print(\\\"dokument_index.md does not exist\\\")\\n\\n# Check for any other index files\\nresult2 = subprocess.run(\\n [\\\"find\\\", os.path.expanduser(\\\"~/.hermes/assets/Gesundheit\\\"), \\\"-name\\\", \\\"*index*\\\", \\\"-o\\\", \\\"-name\\\", \\\"*verzeichnis*\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"\\\\nIndex files:\\\")\\nprint(result2.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"dokument_index.md does not exist\\n\\nIndex files:\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "MKDDBqarwZHTCBT0ZJ2HLEPbfgt4Blnj" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "6BjDQVCd7H3J4GIo0tu5xPTAScLYIiWb", "call_id": "6BjDQVCd7H3J4GIo0tu5xPTAScLYIiWb", "response_item_id": "fc_6BjDQVCd7H3J4GIo0tu5xPTAScLYIiWb", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess\\nimport os\\n\\n# Check for any markdown or text files in the Gesundheit directory\\nresult = subprocess.run(\\n [\\\"find\\\", os.path.expanduser(\\\"~/.hermes/assets/Gesundheit\\\"), \\\"-type\\\", \\\"f\\\", \\\"!\\\", \\\"-name\\\", \\\"*.pdf\\\", \\\"!\\\", \\\"-name\\\", \\\"*.db\\\", \\\"!\\\", \\\"-name\\\", \\\"*.sh\\\", \\\"!\\\", \\\"-name\\\", \\\"*.py\\\", \\\"!\\\", \\\"-name\\\", \\\"*.png\\\", \\\"!\\\", \\\"-name\\\", \\\"*.xlsx\\\", \\\"!\\\", \\\"-name\\\", \\\"*.json\\\", \\\"!\\\", \\\"-name\\\", \\\"*.log\\\"],\\n capture_output=True, text=True\\n)\\nprint(\\\"Other files in Gesundheit:\\\")\\nprint(result.stdout)\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"Other files in Gesundheit:\\n/home/agent/.hermes/assets/Gesundheit/health_watchdog.pid\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/2620408 bericht__Laborbefund__für_Marcel_Gasser_#1.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/251229 Bericht__Klinische_Chemie__für_Marcel_Gasser 4.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/251231 Bericht__Thrombophilie-Abklärung_vom_27.08.2025__für_Marcel_Gasser_geb._21.06.1985.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/251231 Bericht__Klinische_Chemie__für_Marcel_Gasser 2.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/251229 Bericht__Dermatologische_Klinik__für_Marcel_Gasser 3.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/260306 Bericht 1__Klinische_Chemie__für_Marcel_Gasser.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/260306 Bericht__Klinische_Immunologie__für_Marcel_Gasser.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/laborberichte/260115 Termin Bericht__RUZ_CIR_Termin_Zuweisung__für_Marcel_Gasser_geb._21.06.1985.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/sonstiges/rezept_2026-05-06_eliquis_ocr.txt\\n/home/agent/.hermes/assets/Gesundheit/archiv/sonstiges/rezept_2026-05-06_eliquis.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -2_1.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -1_3.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -1_4.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -1_5.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -2_2.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -2_3.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -2_4.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/260226 MRI Befund.PDF\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -2_5.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -1_1.jpg\\n/home/agent/.hermes/assets/Gesundheit/archiv/klinische_befunde/250710 Vista Brugg -1_2.jpg\\n/home/agent/.hermes/assets/Gesundheit/reports/labor_dashboard.html\\n/home/agent/.hermes/assets/Gesundheit/reports/health_profile.html\\n/home/agent/.hermes/assets/Gesundheit/reports/konzept_v1.md\\n/home/agent/.hermes/assets/Gesundheit/reports/konzept_v2.md\\n/home/agent/.hermes/assets/Gesundheit/reports/systemuebersicht.md\\n/home/agent/.hermes/assets/Gesundheit/SKILL.md\\n/home/agent/.hermes/assets/Gesundheit/scripts/health_watchdog.service\\n/home/agent/.hermes/assets/Gesundheit/backup_original/SKILL.md\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -2_1.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -1_3.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -1_4.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -1_5.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -2_2.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -2_3.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -2_4.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/260226 MRI Befund.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -2_5.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -1_1.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Klinische_Befunde/250710 Vista Brugg -1_2.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/2620408 bericht__Laborbefund__für_Marcel_Gasser_#1.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/251229 Bericht__Klinische_Chemie__für_Marcel_Gasser 4.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/251231 Bericht__Thrombophilie-Abklärung_vom_27.08.2025__für_Marcel_Gasser_geb._21.06.1985.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/251231 Bericht__Klinische_Chemie__für_Marcel_Gasser 2.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/251229 Bericht__Dermatologische_Klinik__für_Marcel_Gasser 3.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/260306 Bericht 1__Klinische_Chemie__für_Marcel_Gasser.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/260306 Bericht__Klinische_Immunologie__für_Marcel_Gasser.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/Archiv/Laborwerte/260115 Termin Bericht__RUZ_CIR_Termin_Zuweisung__für_Marcel_Gasser_geb._21.06.1985.PDF\\n/home/agent/.hermes/assets/Gesundheit/backup_original/dokumente/rezept_2026-05-06_eliquis_ocr.txt\\n/home/agent/.hermes/assets/Gesundheit/backup_original/dokumente/rezept_2026-05-06_eliquis.jpg\\n/home/agent/.hermes/assets/Gesundheit/backup_original/crp_verlauf.jpg\\n/home/agent/.hermes/assets/Gesundheit/crp_verlauf.jpg\\n\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "6BjDQVCd7H3J4GIo0tu5xPTAScLYIiWb" }, { "role": "assistant", "content": "Gut. Die Struktur ist vorhanden. Das neue Dokument wurde erfolgreich verarbeitet. Lass mich jetzt den User informieren.", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "ltOdVAxzr2y6EsIayqJbnRXXJj847sxa", "call_id": "ltOdVAxzr2y6EsIayqJbnRXXJj847sxa", "response_item_id": "fc_ltOdVAxzr2y6EsIayqJbnRXXJj847sxa", "type": "function", "function": { "name": "send_message", "arguments": "{\"message\":\"Sir, das neue Dokument wurde erfolgreich verarbeitet:\\n\\n**260507_Labor_Blutwerte_Dermatologie.pdf** (USZ Zürich, 07.05.2026)\\n\\n**Verarbeitete Werte:**\\n• Kreatinin: 97 µmol/l ✓ (Ref: 62-106) — Normal\\n• Hämoglobin: 159 g/l ✓ (Ref: 134-170) — Normal\\n• Erythrozyten: 5.23 x10^12/l ✓ (Ref: 4.2-5.7) — Normal\\n• AST (GOT): un <50 U/l — Unerhøht\\n• ALT (GPT): un <50 U/l — Unerhøht\\n\\n**Problem:** Das PDF ist ein reines Bild-PDF. Die OCR mit Tesseract kann die tabellarischen Werte leider nicht zuverlässig extrahieren — viele Werte sind im OCR-Text obscured/fragmentiert. Nur die oben genannten 5 Werte waren klar lesbar.\\n\\n**Aktionen:**\\n• Dokument heruntergeladen und in `inbox/` gespeichert\\n• Werte in `health_data.db` (health_events + dokumente Tabelle) eingetragen\\n• Status auf \\\"eingearbeitet\\\" gesetzt\\n• Datei in Google Drive Archiv verschoben\\n\\n**Cron-Job eingerichtet:**\\n• \\\"Gesundheitsdaten Inbox Check\\\" — prüft 2x täglich (09:00 und 21:00) die Google Drive Inbox\\n• Bei neuen Dokumenten: Download → OCR → Analyse → DB-Update → Archiv\\n\\nSoll ich versuchen, die OCR-Qualität zu verbessern (höhere DPI, bessere Bildvorverarbeitung), damit mehr Werte extrahiert werden können?\",\"target\":\"telegram\"}" } } ] }, { "role": "tool", "name": "send_message", "content": "{\"success\": true, \"platform\": \"telegram\", \"chat_id\": \"1344779884\", \"message_id\": \"1111\", \"note\": \"Sent to telegram home channel (chat_id: 1344779884)\", \"mirrored\": true}", "tool_call_id": "ltOdVAxzr2y6EsIayqJbnRXXJj847sxa" }, { "role": "assistant", "content": "Alles erledigt, Sir. Zusammenfassung:\n\n1. **Neues Dokument verarbeitet** — `260507_Labor_Blutwerte_Dermatologie.pdf` von USZ Zürich\n2. **5 Werte extrahiert und gespeichert:** Kreatinin, Hämoglobin, Erythrozyten, AST, ALT\n3. **In lokale Datenbank eingetragen** (health_events + dokumente Tabelle)\n4. **In Google Drive Archiv verschoben**\n5. **Cron-Job eingerichtet:** 2x täglich (09:00 & 21:00) prüft automatisch die Gesundheitsdaten Inbox\n\nDas PDF ist ein reines Bild — die OCR-Qualität für tabellarische Werte ist begrenzt. Die meisten Werte waren obscured. Soll ich die OCR-Qualität verbessern?", "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": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "TuJcdjWOSRoQ0hkNcDF6Z0ZCFQcPLmjy", "call_id": "TuJcdjWOSRoQ0hkNcDF6Z0ZCFQcPLmjy", "response_item_id": "fc_TuJcdjWOSRoQ0hkNcDF6Z0ZCFQcPLmjy", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"gog\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"gog\", \"description\": \"Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: gog\\ndescription: Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.\\nhomepage: https://gogcli.sh\\nmetadata: {\\\"clawdbot\\\":{\\\"emoji\\\":\\\"🎮\\\",\\\"requires\\\":{\\\"bins\\\":[\\\"gog\\\"]},\\\"install\\\":[{\\\"id\\\":\\\"brew\\\",\\\"kind\\\":\\\"brew\\\",\\\"formula\\\":\\\"steipete/tap/gogcli\\\",\\\"bins\\\":[\\\"gog\\\"],\\\"label\\\":\\\"Install gog (brew)\\\"}]}}\\n---\\n\\n# gog\\n\\nUse `gog` for Gmail/Calendar/Drive/Contacts/Sheets/Docs. Requires OAuth setup.\\n\\nSetup (once)\\n- `gog auth credentials /path/to/client_secret.json`\\n- `gog auth add you@gmail.com --services gmail,calendar,drive,contacts,sheets,docs`\\n- `gog auth list`\\n\\nCommon commands\\n- Gmail search: `gog gmail search 'newer_than:7d' --max 10`\\n- Gmail messages search: `gog gmail messages search 'is:unread' --max 10 --json` (message-level, not thread-level)\\n- Gmail get full message: `gog gmail get --json --format full` (returns body, attachments, headers)\\n- Gmail send: `gog gmail send --to a@b.com --subject \\\"Hi\\\" --body \\\"Hello\\\"`\\n- Gmail mark-read: `gog gmail mark-read `\\n- Gmail mark-unread: `gog gmail unread `\\n- Gmail trash: `gog gmail trash `\\n- Gmail forward: `gog gmail forward --to `\\n## Calendar Events — Create: `gog calendar create --from --to --summary --all-day`\\n\\n- **Command is `gog calendar create <calendarId>`, NOT `gog calendar events create`** — `events create` does not exist; `create` is a top-level subcommand under `calendar`.\\n- **Timed events require full RFC3339 with timezone offset** (e.g. `2026-05-10T14:00:00+02:00`). Plain `YYYY-MM-DDTHH:MM:SS` (no offset) fails with `Missing time zone definition for start time`.\\n- **All-day events**: Use date-only format (`YYYY-MM-DD`) + `--all-day` flag. No timezone needed.\\n- **Supported flags**: `--summary`, `--from`, `--to`, `--description`, `--location`, `--attendees`, `--all-day`, `--rrule`, `--reminder`, `--event-color`, `--visibility`, `--transparency`, `--with-meet`, `--send-updates`.\\n- **Event color IDs**: 1–11, use `gog calendar colors` to list.\\n- **Reminders**: Format `method:duration` (e.g. `popup:30m, email:1d`), max 5, can repeat.\\n\\n## Calendar Events — Query: `gog calendar events <calendarId> --from YYYY-MM-DD --to YYYY-MM-DD --json`\\n- Drive search: `gog drive search \\\"query\\\" --max 10`\\n- Contacts: `gog contacts list --max 20`\\n- Sheets get: `gog sheets get <sheetId> \\\"Tab!A1:D10\\\" --json`\\n- Sheets update: `gog sheets update <sheetId> \\\"Tab!A1:B2\\\" --values-json '[[\\\"A\\\",\\\"B\\\"],[\\\"1\\\",\\\"2\\\"]]' --input USER_ENTERED`\\n- Sheets append: `gog sheets append <sheetId> \\\"Tab!A:C\\\" --values-json '[[\\\"x\\\",\\\"y\\\",\\\"z\\\"]]' --insert INSERT_ROWS`\\n- Sheets clear: `gog sheets clear <sheetId> \\\"Tab!A2:Z\\\"`\\n- Sheets metadata: `gog sheets metadata <sheetId> --json`\\n- Docs export: `gog docs export <docId> --format txt --out /tmp/doc.txt`\\n- Docs cat: `gog docs cat <docId>`\\n\\n## Gmail — Pitfalls & Tips\\n\\n- **`gog gmail search` returns THREADS, not messages.** Use `gog gmail messages search` for message-level results. Thread IDs ≠ message IDs.\\n- **`gog gmail get <messageId>`** is the correct way to retrieve full message content (body, attachments, headers). The `--format full` flag returns complete JSON. Use `--format metadata` for headers only.\\n- **`--fields` is fragile**: The Google Calendar API rejects shorthand field names like `start`/`end`. Use full names (`startDateTime`, `endDateTime`) or skip `--fields` entirely and parse the default output. In practice, skipping `--fields` is often safer.\\n- **All-day events**: Show as date-only (`2026-05-07` → `2026-05-08`), not as timestamps. Treat these as spanning the full day.\\n- **Timezone handling**: Events from imported Outlook calendars may use UTC. Always convert to local time (Europe/Zurich) for display.\\n- **Multiple calendars**: Use `gog calendar calendars` to discover all available calendar IDs, then query each with `gog calendar events <calendarId> --tomorrow`.\\n- **`--tomorrow` flag**: Uses the system's timezone-aware \\\"tomorrow\\\". No need to construct ISO dates manually.\\n- **`gog calendar list` returns events, not calendars**: The `list` subcommand actually queries events (not calendar definitions). Use `gog calendar calendars` to list calendar metadata (IDs, summaries, access roles).\\n- **`gog calendar events` without calendarId queries ALL calendars**: `gog calendar events --from YYYY-MM-DD --to YYYY-MM-DD --json` returns events from all subscribed calendars. No calendar ID needed for multi-calendar queries.\\n- **Date format for `--from/--to`**: Use `YYYY-MM-DD` format (e.g., `2026-05-08`), NOT ISO timestamps. The CLI parses these as local dates.\\n- **`gog calendar list --max N` returns events**, not calendars. To list calendars: `gog calendar calendars --json`.\\n\\n## Keyring / Authentication\\n\\n- Set `GOG_KEYRING_PASSWORD` as an environment variable to avoid TTY prompts when gog needs to read tokens from the keyring backend. Without it, gog will fail with `no TTY available for keyring file backend password prompt`.\\n- For scripting, always pass `--no-input` to fail fast instead of hanging on interactive prompts.\\n\\nNotes\\n- Set `GOG_ACCOUNT=you@gmail.com` to avoid repeating `--account`.\\n- For scripting, prefer `--json` plus `--no-input`.\\n- Sheets values can be passed via `--values-json` (recommended) or as inline rows.\\n- Docs supports export/cat/copy. In-place edits require a Docs API client (not in gog).\\n- Confirm before sending mail or creating events.\\n\\n## References\\n\\n- `references/gmail-command-reference.md` — Full Gmail command reference (search, get, messages, attachments)\\n- `references/gmail-inbox-review-pattern.md` — Cron-job inbox review workflow and output format\\n- `references/calendar-command-quirks.md` — Calendar query quirks (list vs calendars, date formats)\\n- `references/calendar-create-event-notes.md` — Calendar event creation: pitfalls, flags, event types\\n\", \"path\": \"openclaw-imports/gog/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/openclaw-imports/gog\", \"linked_files\": {\"references\": [\"references/calendar-command-quirks.md\", \"references/calendar-create-event-notes.md\", \"references/gmail-inbox-review-pattern.md\", \"references/gmail-command-reference.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"clawdbot\": {\"emoji\": \"🎮\", \"requires\": {\"bins\": [\"gog\"]}, \"install\": [{\"id\": \"brew\", \"kind\": \"brew\", \"formula\": \"steipete/tap/gogcli\", \"bins\": [\"gog\"], \"label\": \"Install gog (brew)\"}]}}}", "tool_call_id": "TuJcdjWOSRoQ0hkNcDF6Z0ZCFQcPLmjy" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "N7JPwl5wf7fVWo34C5OEjSYsQIpxTuRn", "call_id": "N7JPwl5wf7fVWo34C5OEjSYsQIpxTuRn", "response_item_id": "fc_N7JPwl5wf7fVWo34C5OEjSYsQIpxTuRn", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"gog\",\"file_path\":\"references/gmail-command-reference.md\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"gog\", \"file\": \"references/gmail-command-reference.md\", \"content\": \"# gog Gmail Command Reference\\n\\n## Search Commands\\n\\n### Thread-level search (default)\\n```bash\\ngog gmail search 'is:unread' --max 10 --json\\n```\\nReturns thread objects with keys: `id`, `date`, `from`, `subject`, `labels`, `messageCount`.\\n\\n### Message-level search\\n```bash\\ngog gmail messages search 'is:unread' --max 10 --json\\n```\\nReturns message objects with keys: `id`, `threadId`, `date`, `from`, `subject`, `labels`.\\n**Use this when you need message IDs** (thread IDs are NOT message IDs).\\n\\n### UID-based search (does NOT work)\\n```bash\\ngog gmail search 'uid:<messageId>' --max 1 --json\\n```\\nUID queries return empty. Do not use.\\n\\n## Retrieve Full Message Content\\n\\n```bash\\ngog gmail get <messageId> --json --format full\\n```\\n\\nReturns full JSON with:\\n- `body`: plain text body\\n- `attachments`: array of `{filename, size, sizeHuman, mimeType, attachmentId}`\\n- `headers`: full email headers\\n- `message`: full Gmail API message object\\n\\nFor metadata only:\\n```bash\\ngog gmail get <messageId> --json --format metadata --headers \\\"From,To,Subject,Date\\\"\\n```\\n\\n## Label Management\\n\\n```bash\\ngog gmail mark-read <messageId>\\ngog gmail unread <messageId>\\ngog gmail trash <messageId>\\ngog gmail modify <messageId> --add-labels \\\"IMPORTANT\\\"\\ngog gmail modify <messageId> --remove-labels \\\"UNREAD\\\"\\n```\\n\\n## Send/Reply\\n\\n```bash\\ngog gmail send --to recipient@example.com --subject \\\"Hi\\\" --body \\\"Hello\\\"\\ngog gmail forward --to newrecipient@example.com <messageId>\\n```\\n\\n## Select Fields\\n\\n```bash\\ngog gmail messages search 'is:unread' --max 2 --select body,attachments --json\\n```\\nNote: field selection may return empty `{}` if field names don't match expected keys. Full `get` is more reliable.\\n\", \"file_type\": \".md\"}", "tool_call_id": "N7JPwl5wf7fVWo34C5OEjSYsQIpxTuRn" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "j2aKJeBWPbFWTobDi3HsvI1eZFQwTp5L", "call_id": "j2aKJeBWPbFWTobDi3HsvI1eZFQwTp5L", "response_item_id": "fc_j2aKJeBWPbFWTobDi3HsvI1eZFQwTp5L", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"cronjob\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"cronjob\", \"description\": \"Scheduling and managing recurring tasks via Hermes cron. Covers schedule formats, job creation, execution patterns, and best practices.\", \"tags\": [\"cron\", \"scheduling\", \"automation\", \"recurring\"], \"related_skills\": [], \"content\": \"---\\nname: cronjob\\ndescription: \\\"Scheduling and managing recurring tasks via Hermes cron. Covers schedule formats, job creation, execution patterns, and best practices.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [cron, scheduling, automation, recurring]\\n---\\n\\n# Cron Job Management\\n\\nManage recurring scheduled tasks in Hermes via the cron system. Drive via the `cronjob` tool, the `hermes cron` CLI, or the `/cron` slash command.\\n\\n## When to Use\\n\\n- **Recurring data collection:** Weather checks, inbox monitoring, system health checks\\n- **Scheduled briefings:** Daily morning briefings, weekly reports\\n- **Periodic maintenance:** Log rotation, database cleanup, cache invalidation\\n- **Time-based triggers:** Reminders, check-ins, automated notifications\\n\\n## Schedule Formats\\n\\n### Interval-based (recommended for simple recurring tasks)\\n```\\nevery 2h # Every 2 hours\\nevery 30m # Every 30 minutes\\ndaily # Once per day\\nweekly # Once per week\\n```\\n\\n### Standard cron (5-field)\\n```\\n0 5 * * * # Daily at 05:00\\n0 9 * * 1 # Every Monday at 09:00\\n```\\n\\n## Important Notes\\n\\n- **Range syntax like `07-19 * * *` is NOT supported.** Hermes cron does not parse range expressions. Use interval-based syntax instead.\\n- **Timezone:** Cron schedules use `Europe/Berlin` (UTC+2 summer, UTC+1 winter) by default.\\n- **Next run calculation:** Hermes calculates the next run time based on the current timezone.\\n\\n## Job Structure\\n\\nEach cron job has:\\n- `job_id`: Unique identifier\\n- `prompt`: The instruction template\\n- `schedule`: Cron expression or interval\\n- `repeat`: Number of times to repeat\\n- `deliver`: Delivery target (e.g., `origin` for Telegram)\\n- `model`: Model to use for LLM-based jobs\\n- `enabled`: Boolean state\\n\\n## Best Practices\\n\\n1. **Use scripts for complex jobs:** Write a Python script in `~/.hermes/scripts/` and invoke it from the cron prompt.\\n2. **Use interval syntax for regular checks:** `every 2h` is simpler and more reliable than complex cron expressions.\\n3. **Use cron syntax for specific times:** `0 5 * * *` for \\\"daily at 05:00\\\".\\n4. **Test with `hermes cron run <job_id>`** before relying on scheduled execution.\\n5. **Monitor with `hermes cron list`** to verify next run times.\\n\\n## Linked Resources\\n\\n- `references/cron-scheduling-patterns.md` — Schedule format examples and use cases from sessions.\\n\", \"path\": \"cronjob/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/cronjob\", \"linked_files\": {\"references\": [\"references/cron-scheduling-patterns.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"cron\", \"scheduling\", \"automation\", \"recurring\"]}}}", "tool_call_id": "j2aKJeBWPbFWTobDi3HsvI1eZFQwTp5L" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "erAmNE1Y10WpFp52zwNogFrKloyAdSQZ", "call_id": "erAmNE1Y10WpFp52zwNogFrKloyAdSQZ", "response_item_id": "fc_erAmNE1Y10WpFp52zwNogFrKloyAdSQZ", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"hermes-agent\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"hermes-agent\", \"description\": \"Configure, extend, or contribute to Hermes Agent.\", \"tags\": [\"hermes\", \"setup\", \"configuration\", \"multi-agent\", \"spawning\", \"cli\", \"gateway\", \"development\"], \"related_skills\": [\"claude-code\", \"codex\", \"opencode\"], \"content\": \"---\\nname: hermes-agent\\ndescription: \\\"Configure, extend, or contribute to Hermes Agent.\\\"\\nversion: 2.1.0\\nauthor: Hermes Agent + Teknium\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, development]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [claude-code, codex, opencode]\\n---\\n\\n# Hermes Agent\\n\\nHermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.\\n\\nWhat makes Hermes different:\\n\\n- **Self-improving through skills** — Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.\\n- **Persistent memory across sessions** — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.\\n- **Multi-platform gateway** — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 10+ other platforms with full tool access, not just chat.\\n- **Provider-agnostic** — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.\\n- **Profiles** — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.\\n- **Extensible** — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.\\n\\nPeople use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.\\n\\n**This skill helps you work with Hermes Agent effectively** — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.\\n\\n**Docs:** https://hermes-agent.nousresearch.com/docs/\\n\\n## Quick Start\\n\\n```bash\\n# Install\\ncurl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash\\n\\n# Interactive chat (default)\\nhermes\\n\\n# Single query\\nhermes chat -q \\\"What is the capital of France?\\\"\\n\\n# Setup wizard\\nhermes setup\\n\\n# Change model/provider\\nhermes model\\n\\n# Check health\\nhermes doctor\\n```\\n\\n---\\n\\n## CLI Reference\\n\\n### Global Flags\\n\\n```\\nhermes [flags] [command]\\n\\n --version, -V Show version\\n --resume, -r SESSION Resume session by ID or title\\n --continue, -c [NAME] Resume by name, or most recent session\\n --worktree, -w Isolated git worktree mode (parallel agents)\\n --skills, -s SKILL Preload skills (comma-separate or repeat)\\n --profile, -p NAME Use a named profile\\n --yolo Skip dangerous command approval\\n --pass-session-id Include session ID in system prompt\\n```\\n\\nNo subcommand defaults to `chat`.\\n\\n### Chat\\n\\n```\\nhermes chat [flags]\\n -q, --query TEXT Single query, non-interactive\\n -m, --model MODEL Model (e.g. anthropic/claude-sonnet-4)\\n -t, --toolsets LIST Comma-separated toolsets\\n --provider PROVIDER Force provider (openrouter, anthropic, nous, etc.)\\n -v, --verbose Verbose output\\n -Q, --quiet Suppress banner, spinner, tool previews\\n --checkpoints Enable filesystem checkpoints (/rollback)\\n --source TAG Session source tag (default: cli)\\n```\\n\\n### Configuration\\n\\n```\\nhermes setup [section] Interactive wizard (model|terminal|gateway|tools|agent)\\nhermes model Interactive model/provider picker\\nhermes config View current config\\nhermes config edit Open config.yaml in $EDITOR\\nhermes config set KEY VAL Set a config value\\nhermes config path Print config.yaml path\\nhermes config env-path Print .env path\\nhermes config check Check for missing/outdated config\\nhermes config migrate Update config with new options\\nhermes login [--provider P] OAuth login (nous, openai-codex)\\nhermes logout Clear stored auth\\nhermes doctor [--fix] Check dependencies and config\\nhermes status [--all] Show component status\\n```\\n\\n### Tools & Skills\\n\\n```\\nhermes tools Interactive tool enable/disable (curses UI)\\nhermes tools list Show all tools and status\\nhermes tools enable NAME Enable a toolset\\nhermes tools disable NAME Disable a toolset\\n\\nhermes skills list List installed skills\\nhermes skills search QUERY Search the skills hub\\nhermes skills install ID Install a skill (ID can be a hub identifier OR a direct https://…/SKILL.md URL; pass --name to override when frontmatter has no name)\\nhermes skills inspect ID Preview without installing\\nhermes skills config Enable/disable skills per platform\\nhermes skills check Check for updates\\nhermes skills update Update outdated skills\\nhermes skills uninstall N Remove a hub skill\\nhermes skills publish PATH Publish to registry\\nhermes skills browse Browse all available skills\\nhermes skills tap add REPO Add a GitHub repo as skill source\\n```\\n\\n### MCP Servers\\n\\n```\\nhermes mcp serve Run Hermes as an MCP server\\nhermes mcp add NAME Add an MCP server (--url or --command)\\nhermes mcp remove NAME Remove an MCP server\\nhermes mcp list List configured servers\\nhermes mcp test NAME Test connection\\nhermes mcp configure NAME Toggle tool selection\\n```\\n\\n### Gateway (Messaging Platforms)\\n\\n```\\nhermes gateway run Start gateway foreground\\nhermes gateway install Install as background service\\nhermes gateway start/stop Control the service\\nhermes gateway restart Restart the service\\nhermes gateway status Check status\\nhermes gateway setup Configure platforms\\n```\\n\\nSupported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, BlueBubbles (iMessage), Weixin (WeChat), API Server, Webhooks. Open WebUI connects via the API Server adapter.\\n\\nPlatform docs: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/\\n\\n**Telegram setup:** See `references/telegram-gateway-setup.md` for the complete step-by-step configuration workflow.\\n\\n### Sessions\\n\\n```\\nhermes sessions list List recent sessions\\nhermes sessions browse Interactive picker\\nhermes sessions export OUT Export to JSONL\\nhermes sessions rename ID T Rename a session\\nhermes sessions delete ID Delete a session\\nhermes sessions prune Clean up old sessions (--older-than N days)\\nhermes sessions stats Session store statistics\\n```\\n\\n### Cron Jobs\\n\\n```\\nhermes cron list List jobs (--all for disabled)\\nhermes cron create SCHED Create: '30m', 'every 2h', '0 9 * * *'\\nhermes cron edit ID Edit schedule, prompt, delivery\\nhermes cron pause/resume ID Control job state\\nhermes cron run ID Trigger on next tick\\nhermes cron remove ID Delete a job\\nhermes cron status Scheduler status\\n```\\n\\n### Webhooks\\n\\n```\\nhermes webhook subscribe N Create route at /webhooks/<name>\\nhermes webhook list List subscriptions\\nhermes webhook remove NAME Remove a subscription\\nhermes webhook test NAME Send a test POST\\n```\\n\\n### Profiles\\n\\n```\\nhermes profile list List all profiles\\nhermes profile create NAME Create (--clone, --clone-all, --clone-from)\\nhermes profile use NAME Set sticky default\\nhermes profile delete NAME Delete a profile\\nhermes profile show NAME Show details\\nhermes profile alias NAME Manage wrapper scripts\\nhermes profile rename A B Rename a profile\\nhermes profile export NAME Export to tar.gz\\nhermes profile import FILE Import from archive\\n```\\n\\n### Credential Pools\\n\\n```\\nhermes auth add Interactive credential wizard\\nhermes auth list [PROVIDER] List pooled credentials\\nhermes auth remove P INDEX Remove by provider + index\\nhermes auth reset PROVIDER Clear exhaustion status\\n```\\n\\n### Other\\n\\n```\\nhermes insights [--days N] Usage analytics\\nhermes update Update to latest version\\nhermes pairing list/approve/revoke DM authorization\\nhermes plugins list/install/remove Plugin management\\nhermes honcho setup/status Honcho memory integration (requires honcho plugin)\\nhermes memory setup/status/off Memory provider config\\nhermes completion bash|zsh Shell completions\\nhermes acp ACP server (IDE integration)\\nhermes claw migrate Migrate from OpenClaw\\nhermes uninstall Uninstall Hermes\\n```\\n\\n---\\n\\n## Slash Commands (In-Session)\\n\\nType these during an interactive chat session. New commands land fairly\\noften; if something below looks stale, run `/help` in-session for the\\nauthoritative list or see the [live slash commands reference](https://hermes-agent.nousresearch.com/docs/reference/slash-commands).\\nThe registry of record is `hermes_cli/commands.py` — every consumer\\n(autocomplete, Telegram menu, Slack mapping, `/help`) derives from it.\\n\\n### Session Control\\n```\\n/new (/reset) Fresh session\\n/clear Clear screen + new session (CLI)\\n/retry Resend last message\\n/undo Remove last exchange\\n/title [name] Name the session\\n/compress Manually compress context\\n/stop Kill background processes\\n/rollback [N] Restore filesystem checkpoint\\n/snapshot [sub] Create or restore state snapshots of Hermes config/state (CLI)\\n/background <prompt> Run prompt in background\\n/queue <prompt> Queue for next turn\\n/steer <prompt> Inject a message after the next tool call without interrupting\\n/agents (/tasks) Show active agents and running tasks\\n/resume [name] Resume a named session\\n/goal [text|sub] Set a standing goal Hermes works on across turns until achieved\\n (subcommands: status, pause, resume, clear)\\n/redraw Force a full UI repaint (CLI)\\n```\\n\\n### Configuration\\n```\\n/config Show config (CLI)\\n/model [name] Show or change model\\n/personality [name] Set personality\\n/reasoning [level] Set reasoning (none|minimal|low|medium|high|xhigh|show|hide)\\n/verbose Cycle: off → new → all → verbose\\n/voice [on|off|tts] Voice mode\\n/yolo Toggle approval bypass\\n/busy [sub] Control what Enter does while Hermes is working (CLI)\\n (subcommands: queue, steer, interrupt, status)\\n/indicator [style] Pick the TUI busy-indicator style (CLI)\\n (styles: kaomoji, emoji, unicode, ascii)\\n/footer [on|off] Toggle gateway runtime-metadata footer on final replies\\n/skin [name] Change theme (CLI)\\n/statusbar Toggle status bar (CLI)\\n```\\n\\n### Tools & Skills\\n```\\n/tools Manage tools (CLI)\\n/toolsets List toolsets (CLI)\\n/skills Search/install skills (CLI)\\n/skill <name> Load a skill into session\\n/reload-skills Re-scan ~/.hermes/skills/ for added/removed skills\\n/reload Reload .env variables into the running session (CLI)\\n/reload-mcp Reload MCP servers\\n/cron Manage cron jobs (CLI)\\n/curator [sub] Background skill maintenance (status, run, pin, archive, …)\\n/kanban [sub] Multi-profile collaboration board (tasks, links, comments)\\n/plugins List plugins (CLI)\\n```\\n\\n### Gateway\\n```\\n/approve Approve a pending command (gateway)\\n/deny Deny a pending command (gateway)\\n/restart Restart gateway (gateway)\\n/sethome Set current chat as home channel (gateway)\\n/update Update Hermes to latest (gateway)\\n/topic [sub] Enable or inspect Telegram DM topic sessions (gateway)\\n/platforms (/gateway) Show platform connection status (gateway)\\n```\\n\\n### Utility\\n```\\n/branch (/fork) Branch the current session\\n/fast Toggle priority/fast processing\\n/browser Open CDP browser connection\\n/history Show conversation history (CLI)\\n/save Save conversation to file (CLI)\\n/copy [N] Copy the last assistant response to clipboard (CLI)\\n/paste Attach clipboard image (CLI)\\n/image Attach local image file (CLI)\\n```\\n\\n### Info\\n```\\n/help Show commands\\n/commands [page] Browse all commands (gateway)\\n/usage Token usage\\n/insights [days] Usage analytics\\n/gquota Show Google Gemini Code Assist quota usage (CLI)\\n/status Session info (gateway)\\n/profile Active profile info\\n/debug Upload debug report (system info + logs) and get shareable links\\n```\\n\\n### Exit\\n```\\n/quit (/exit, /q) Exit CLI\\n```\\n\\n---\\n\\n## Key Paths & Config\\n\\n```\\n~/.hermes/config.yaml Main configuration\\n~/.hermes/.env API keys and secrets\\n$HERMES_HOME/skills/ Installed skills\\n~/.hermes/sessions/ Session transcripts\\n~/.hermes/logs/ Gateway and error logs\\n~/.hermes/auth.json OAuth tokens and credential pools\\n~/.hermes/hermes-agent/ Source code (if git-installed)\\n```\\n\\nProfiles use `~/.hermes/profiles/<name>/` with the same layout.\\n\\n### Config Sections\\n\\nEdit with `hermes config edit` or `hermes config set section.key value`.\\n\\n| Section | Key options |\\n|---------|-------------|\\n| `model` | `default`, `provider`, `base_url`, `api_key`, `context_length` |\\n| `agent` | `max_turns` (90), `tool_use_enforcement` |\\n| `terminal` | `backend` (local/docker/ssh/modal), `cwd`, `timeout` (180) |\\n| `compression` | `enabled`, `threshold` (0.50), `target_ratio` (0.20) |\\n| `display` | `skin`, `tool_progress`, `show_reasoning`, `show_cost` |\\n| `stt` | `enabled`, `provider` (local/groq/openai/mistral) |\\n| `tts` | `provider` (edge/elevenlabs/openai/minimax/mistral/neutts) |\\n| `memory` | `memory_enabled`, `user_profile_enabled`, `provider` |\\n| `security` | `tirith_enabled`, `website_blocklist` |\\n| `delegation` | `model`, `provider`, `base_url`, `api_key`, `max_iterations` (50), `reasoning_effort` |\\n| `checkpoints` | `enabled`, `max_snapshots` (50) |\\n\\nFull config reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration\\n\\n### Providers\\n\\n20+ providers supported. Set via `hermes model` or `hermes setup`.\\n\\n| Provider | Auth | Key env var |\\n|----------|------|-------------|\\n| OpenRouter | API key | `OPENROUTER_API_KEY` |\\n| Anthropic | API key | `ANTHROPIC_API_KEY` |\\n| Nous Portal | OAuth | `hermes auth` |\\n| OpenAI Codex | OAuth | `hermes auth` |\\n| GitHub Copilot | Token | `COPILOT_GITHUB_TOKEN` |\\n| Google Gemini | API key | `GOOGLE_API_KEY` or `GEMINI_API_KEY` |\\n| DeepSeek | API key | `DEEPSEEK_API_KEY` |\\n| xAI / Grok | API key | `XAI_API_KEY` |\\n| Hugging Face | Token | `HF_TOKEN` |\\n| Z.AI / GLM | API key | `GLM_API_KEY` |\\n| MiniMax | API key | `MINIMAX_API_KEY` |\\n| MiniMax CN | API key | `MINIMAX_CN_API_KEY` |\\n| Kimi / Moonshot | API key | `KIMI_API_KEY` |\\n| Alibaba / DashScope | API key | `DASHSCOPE_API_KEY` |\\n| Xiaomi MiMo | API key | `XIAOMI_API_KEY` |\\n| Kilo Code | API key | `KILOCODE_API_KEY` |\\n| AI Gateway (Vercel) | API key | `AI_GATEWAY_API_KEY` |\\n| OpenCode Zen | API key | `OPENCODE_ZEN_API_KEY` |\\n| OpenCode Go | API key | `OPENCODE_GO_API_KEY` |\\n| Qwen OAuth | OAuth | `hermes login --provider qwen-oauth` |\\n| Custom endpoint | Config | `model.base_url` + `model.api_key` in config.yaml |\\n| GitHub Copilot ACP | External | `COPILOT_CLI_PATH` or Copilot CLI |\\n\\nFull provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers\\n\\n### Toolsets\\n\\nEnable/disable via `hermes tools` (interactive) or `hermes tools enable/disable NAME`.\\n\\n| Toolset | What it provides |\\n|---------|-----------------|\\n| `web` | Web search and content extraction |\\n| `search` | Web search only (subset of `web`) |\\n| `browser` | Browser automation (Browserbase, Camofox, or local Chromium) |\\n| `terminal` | Shell commands and process management |\\n| `file` | File read/write/search/patch |\\n| `code_execution` | Sandboxed Python execution |\\n| `vision` | Image analysis |\\n| `image_gen` | AI image generation |\\n| `video` | Video analysis and generation |\\n| `tts` | Text-to-speech |\\n| `skills` | Skill browsing and management |\\n| `memory` | Persistent cross-session memory |\\n| `session_search` | Search past conversations |\\n| `delegation` | Subagent task delegation |\\n| `cronjob` | Scheduled task management |\\n| `clarify` | Ask user clarifying questions |\\n| `messaging` | Cross-platform message sending |\\n| `todo` | In-session task planning and tracking |\\n| `kanban` | Multi-agent work-queue tools (gated to workers) |\\n| `debugging` | Extra introspection/debug tools (off by default) |\\n| `safe` | Minimal, low-risk toolset for locked-down sessions |\\n| `spotify` | Spotify playback and playlist control |\\n| `homeassistant` | Smart home control (off by default) |\\n| `discord` | Discord integration tools |\\n| `discord_admin` | Discord admin/moderation tools |\\n| `feishu_doc` | Feishu (Lark) document tools |\\n| `feishu_drive` | Feishu (Lark) drive tools |\\n| `yuanbao` | Yuanbao integration tools |\\n| `rl` | Reinforcement learning tools (off by default) |\\n| `moa` | Mixture of Agents (off by default) |\\n\\nFull enumeration lives in `toolsets.py` as the `TOOLSETS` dict; `_HERMES_CORE_TOOLS` is the default bundle most platforms inherit from.\\n\\nTool changes take effect on `/reset` (new session). They do NOT apply mid-conversation to preserve prompt caching.\\n\\n---\\n\\n## Security & Privacy Toggles\\n\\nCommon \\\"why is Hermes doing X to my output / tool calls / commands?\\\" toggles — and the exact commands to change them. Most of these need a fresh session (`/reset` in chat, or start a new `hermes` invocation) because they're read once at startup.\\n\\n### Secret redaction in tool output\\n\\nSecret redaction is **off by default** — tool output (terminal stdout, `read_file`, web content, subagent summaries, etc.) passes through unmodified. If the user wants Hermes to auto-mask strings that look like API keys, tokens, and secrets before they enter the conversation context and logs:\\n\\n```bash\\nhermes config set security.redact_secrets true # enable globally\\n```\\n\\n**Restart required.** `security.redact_secrets` is snapshotted at import time — toggling it mid-session (e.g. via `export HERMES_REDACT_SECRETS=true` from a tool call) will NOT take effect for the running process. Tell the user to run `hermes config set security.redact_secrets true` in a terminal, then start a new session. This is deliberate — it prevents an LLM from flipping the toggle on itself mid-task.\\n\\nDisable again with:\\n```bash\\nhermes config set security.redact_secrets false\\n```\\n\\n### PII redaction in gateway messages\\n\\nSeparate from secret redaction. When enabled, the gateway hashes user IDs and strips phone numbers from the session context before it reaches the model:\\n\\n```bash\\nhermes config set privacy.redact_pii true # enable\\nhermes config set privacy.redact_pii false # disable (default)\\n```\\n\\n### Command approval prompts\\n\\nBy default (`approvals.mode: manual`), Hermes prompts the user before running shell commands flagged as destructive (`rm -rf`, `git reset --hard`, etc.). The modes are:\\n\\n- `manual` — always prompt (default)\\n- `smart` — use an auxiliary LLM to auto-approve low-risk commands, prompt on high-risk\\n- `off` — skip all approval prompts (equivalent to `--yolo`)\\n\\n```bash\\nhermes config set approvals.mode smart # recommended middle ground\\nhermes config set approvals.mode off # bypass everything (not recommended)\\n```\\n\\nPer-invocation bypass without changing config:\\n- `hermes --yolo …`\\n- `export HERMES_YOLO_MODE=1`\\n\\nNote: YOLO / `approvals.mode: off` does NOT turn off secret redaction. They are independent.\\n\\n### Shell hooks allowlist\\n\\nSome shell-hook integrations require explicit allowlisting before they fire. Managed via `~/.hermes/shell-hooks-allowlist.json` — prompted interactively the first time a hook wants to run.\\n\\n### Disabling the web/browser/image-gen tools\\n\\nTo keep the model away from network or media tools entirely, open `hermes tools` and toggle per-platform. Takes effect on next session (`/reset`). See the Tools & Skills section above.\\n\\n---\\n\\n## Voice & Transcription\\n\\n### STT (Voice → Text)\\n\\nVoice messages from messaging platforms are auto-transcribed.\\n\\nProvider priority (auto-detected):\\n1. **Local faster-whisper** — free, no API key: `pip install faster-whisper`\\n2. **Groq Whisper** — free tier: set `GROQ_API_KEY`\\n3. **OpenAI Whisper** — paid: set `VOICE_TOOLS_OPENAI_KEY`\\n4. **Mistral Voxtral** — set `MISTRAL_API_KEY`\\n\\nConfig:\\n```yaml\\nstt:\\n enabled: true\\n provider: local # local, groq, openai, mistral\\n local:\\n model: base # tiny, base, small, medium, large-v3\\n```\\n\\n### TTS (Text → Voice)\\n\\n| Provider | Env var | Free? |\\n|----------|---------|-------|\\n| Edge TTS | None | Yes (default) |\\n| ElevenLabs | `ELEVENLABS_API_KEY` | Free tier |\\n| OpenAI | `VOICE_TOOLS_OPENAI_KEY` | Paid |\\n| MiniMax | `MINIMAX_API_KEY` | Paid |\\n| Mistral (Voxtral) | `MISTRAL_API_KEY` | Paid |\\n| NeuTTS (local) | None (`pip install neutts[all]` + `espeak-ng`) | Free |\\n\\nVoice commands: `/voice on` (voice-to-voice), `/voice tts` (always voice), `/voice off`.\\n\\n---\\n\\n## Spawning Additional Hermes Instances\\n\\nRun additional Hermes processes as fully independent subprocesses — separate sessions, tools, and environments.\\n\\n### When to Use This vs delegate_task\\n\\n| | `delegate_task` | Spawning `hermes` process |\\n|-|-----------------|--------------------------|\\n| Isolation | Separate conversation, shared process | Fully independent process |\\n| Duration | Minutes (bounded by parent loop) | Hours/days |\\n| Tool access | Subset of parent's tools | Full tool access |\\n| Interactive | No | Yes (PTY mode) |\\n| Use case | Quick parallel subtasks | Long autonomous missions |\\n\\n### One-Shot Mode\\n\\n```\\nterminal(command=\\\"hermes chat -q 'Research GRPO papers and write summary to ~/research/grpo.md'\\\", timeout=300)\\n\\n# Background for long tasks:\\nterminal(command=\\\"hermes chat -q 'Set up CI/CD for ~/myapp'\\\", background=true)\\n```\\n\\n### Interactive PTY Mode (via tmux)\\n\\nHermes uses prompt_toolkit, which requires a real terminal. Use tmux for interactive spawning:\\n\\n```\\n# Start\\nterminal(command=\\\"tmux new-session -d -s agent1 -x 120 -y 40 'hermes'\\\", timeout=10)\\n\\n# Wait for startup, then send a message\\nterminal(command=\\\"sleep 8 && tmux send-keys -t agent1 'Build a FastAPI auth service' Enter\\\", timeout=15)\\n\\n# Read output\\nterminal(command=\\\"sleep 20 && tmux capture-pane -t agent1 -p\\\", timeout=5)\\n\\n# Send follow-up\\nterminal(command=\\\"tmux send-keys -t agent1 'Add rate limiting middleware' Enter\\\", timeout=5)\\n\\n# Exit\\nterminal(command=\\\"tmux send-keys -t agent1 '/exit' Enter && sleep 2 && tmux kill-session -t agent1\\\", timeout=10)\\n```\\n\\n### Multi-Agent Coordination\\n\\n```\\n# Agent A: backend\\nterminal(command=\\\"tmux new-session -d -s backend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t backend 'Build REST API for user management' Enter\\\", timeout=15)\\n\\n# Agent B: frontend\\nterminal(command=\\\"tmux new-session -d -s frontend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t frontend 'Build React dashboard for user management' Enter\\\", timeout=15)\\n\\n# Check progress, relay context between them\\nterminal(command=\\\"tmux capture-pane -t backend -p | tail -30\\\", timeout=5)\\nterminal(command=\\\"tmux send-keys -t frontend 'Here is the API schema from the backend agent: ...' Enter\\\", timeout=5)\\n```\\n\\n### Session Resume\\n\\n```\\n# Resume most recent session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --continue'\\\", timeout=10)\\n\\n# Resume specific session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --resume 20260225_143052_a1b2c3'\\\", timeout=10)\\n```\\n\\n### Tips\\n\\n- **Prefer `delegate_task` for quick subtasks** — less overhead than spawning a full process\\n- **Use `-w` (worktree mode)** when spawning agents that edit code — prevents git conflicts\\n- **Set timeouts** for one-shot mode — complex tasks can take 5-10 minutes\\n- **Use `hermes chat -q` for fire-and-forget** — no PTY needed\\n- **Use tmux for interactive sessions** — raw PTY mode has `\\\\r` vs `\\\\n` issues with prompt_toolkit\\n- **For scheduled tasks**, use the `cronjob` tool instead of spawning — handles delivery and retry\\n\\n---\\n\\n## Durable & Background Systems\\n\\nFour systems run alongside the main conversation loop. Quick reference\\nhere; full developer notes live in `AGENTS.md`, user-facing docs under\\n`website/docs/user-guide/features/`.\\n\\n### Delegation (`delegate_task`)\\n\\nSynchronous subagent spawn — the parent waits for the child's summary\\nbefore continuing its own loop. Isolated context + terminal session.\\n\\n- **Single:** `delegate_task(goal, context, toolsets)`.\\n- **Batch:** `delegate_task(tasks=[{goal, ...}, ...])` runs children in\\n parallel, capped by `delegation.max_concurrent_children` (default 3).\\n- **Roles:** `leaf` (default; cannot re-delegate) vs `orchestrator`\\n (can spawn its own workers, bounded by `delegation.max_spawn_depth`).\\n- **Not durable.** If the parent is interrupted, the child is\\n cancelled. For work that must outlive the turn, use `cronjob` or\\n `terminal(background=True, notify_on_complete=True)`.\\n\\nConfig: `delegation.*` in `config.yaml`.\\n\\n### Cron (scheduled jobs)\\n\\nDurable scheduler — `cron/jobs.py` + `cron/scheduler.py`. Drive it via\\nthe `cronjob` tool, the `hermes cron` CLI (`list`, `add`, `edit`,\\n`pause`, `resume`, `run`, `remove`), or the `/cron` slash command.\\n\\n- **Schedules:** duration (`\\\"30m\\\"`, `\\\"2h\\\"`), \\\"every\\\" phrase\\n (`\\\"every monday 9am\\\"`), 5-field cron (`\\\"0 9 * * *\\\"`), or ISO timestamp.\\n- **Per-job knobs:** `skills`, `model`/`provider` override, `script`\\n (pre-run data collection; `no_agent=True` makes the script the whole\\n job), `context_from` (chain job A's output into job B), `workdir`\\n (run in a specific dir with its `AGENTS.md` / `CLAUDE.md` loaded),\\n multi-platform delivery.\\n- **Invariants:** 3-minute hard interrupt per run, `.tick.lock` file\\n prevents duplicate ticks across processes, cron sessions pass\\n `skip_memory=True` by default, and cron deliveries are framed with a\\n header/footer instead of being mirrored into the target gateway\\n session (keeps role alternation intact).\\n\\nUser docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/cron\\n\\n### Curator (skill lifecycle)\\n\\nBackground maintenance for agent-created skills. Tracks usage, marks\\nidle skills stale, archives stale ones, keeps a pre-run tar.gz backup\\nso nothing is lost.\\n\\n- **CLI:** `hermes curator <verb>` — `status`, `run`, `pause`, `resume`,\\n `pin`, `unpin`, `archive`, `restore`, `prune`, `backup`, `rollback`.\\n- **Slash:** `/curator <subcommand>` mirrors the CLI.\\n- **Scope:** only touches skills with `created_by: \\\"agent\\\"` provenance.\\n Bundled + hub-installed skills are off-limits. **Never deletes** —\\n max destructive action is archive. Pinned skills are exempt from\\n every auto-transition and every LLM review pass.\\n- **Telemetry:** sidecar at `~/.hermes/skills/.usage.json` holds\\n per-skill `use_count`, `view_count`, `patch_count`,\\n `last_activity_at`, `state`, `pinned`.\\n\\nConfig: `curator.*` (`enabled`, `interval_hours`, `min_idle_hours`,\\n`stale_after_days`, `archive_after_days`, `backup.*`).\\nUser docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/curator\\n\\n### Kanban (multi-agent work queue)\\n\\nDurable SQLite board for multi-profile / multi-worker collaboration.\\nUsers drive it via `hermes kanban <verb>`; dispatcher-spawned workers\\nsee a focused `kanban_*` toolset gated by `HERMES_KANBAN_TASK` so the\\nschema footprint is zero outside worker processes.\\n\\n- **CLI verbs (common):** `init`, `create`, `list` (alias `ls`),\\n `show`, `assign`, `link`, `unlink`, `comment`, `complete`, `block`,\\n `unblock`, `archive`, `tail`. Less common: `watch`, `stats`, `runs`,\\n `log`, `dispatch`, `daemon`, `gc`.\\n- **Worker toolset:** `kanban_show`, `kanban_complete`, `kanban_block`,\\n `kanban_heartbeat`, `kanban_comment`, `kanban_create`, `kanban_link`.\\n- **Dispatcher** runs inside the gateway by default\\n (`kanban.dispatch_in_gateway: true`) — reclaims stale claims,\\n promotes ready tasks, atomically claims, spawns assigned profiles.\\n Auto-blocks a task after ~5 consecutive spawn failures.\\n- **Isolation:** board is the hard boundary (workers get\\n `HERMES_KANBAN_BOARD` pinned in env); tenant is a soft namespace\\n within a board for workspace-path + memory-key isolation.\\n\\nUser docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/kanban\\n\\n---\\n\\n## Troubleshooting\\n\\n### Voice not working\\n1. Check `stt.enabled: true` in config.yaml\\n2. Verify provider: `pip install faster-whisper` or set API key\\n3. In gateway: `/restart`. In CLI: exit and relaunch.\\n\\n### Tool not available\\n1. `hermes tools` — check if toolset is enabled for your platform\\n2. Some tools need env vars (check `.env`)\\n3. `/reset` after enabling tools\\n\\n### Model/provider issues\\n1. `hermes doctor` — check config and dependencies\\n2. `hermes login` — re-authenticate OAuth providers\\n3. Check `.env` has the right API key\\n4. **Copilot 403**: `gh auth login` tokens do NOT work for Copilot API. You must use the Copilot-specific OAuth device code flow via `hermes model` → GitHub Copilot.\\n\\n### Changes not taking effect\\n- **Tools/skills:** `/reset` starts a new session with updated toolset\\n- **Config changes:** In gateway: `/restart`. In CLI: exit and relaunch.\\n- **Code changes:** Restart the CLI or gateway process\\n\\n### Skills not showing\\n1. `hermes skills list` — verify installed\\n2. `hermes skills config` — check platform enablement\\n3. Load explicitly: `/skill name` or `hermes -s name`\\n\\n### Gateway issues\\nCheck logs first:\\n```bash\\ngrep -i \\\"failed to send\\\\|error\\\" ~/.hermes/logs/gateway.log | tail -20\\n```\\n\\nCommon gateway problems:\\n- **Gateway dies on SSH logout**: Enable linger: `sudo loginctl enable-linger $USER`\\n- **Gateway dies on WSL2 close**: WSL2 requires `systemd=true` in `/etc/wsl.conf` for systemd services to work. Without it, gateway falls back to `nohup` (dies when session closes).\\n- **Gateway crash loop**: Reset the failed state: `systemctl --user reset-failed hermes-gateway`\\n\\n### Platform-specific issues\\n- **Discord bot silent**: Must enable **Message Content Intent** in Bot → Privileged Gateway Intents.\\n- **Slack bot only works in DMs**: Must subscribe to `message.channels` event. Without it, the bot ignores public channels.\\n- **Windows HTTP 400 \\\"No models provided\\\"**: Config file encoding issue (BOM). Ensure `config.yaml` is saved as UTF-8 without BOM.\\n\\n### Auxiliary models not working\\nIf `auxiliary` tasks (vision, compression, session_search) fail silently, the `auto` provider can't find a backend. Either set `OPENROUTER_API_KEY` or `GOOGLE_API_KEY`, or explicitly configure each auxiliary task's provider:\\n```bash\\nhermes config set auxiliary.vision.provider <your_provider>\\nhermes config set auxiliary.vision.model <model_name>\\n```\\n\\n---\\n\\n## Where to Find Things\\n\\n| Looking for... | Location |\\n|----------------|----------|\\n| Config options | `hermes config edit` or [Configuration docs](https://hermes-agent.nousresearch.com/docs/user-guide/configuration) |\\n| Available tools | `hermes tools list` or [Tools reference](https://hermes-agent.nousresearch.com/docs/reference/tools-reference) |\\n| Slash commands | `/help` in session or [Slash commands reference](https://hermes-agent.nousresearch.com/docs/reference/slash-commands) |\\n| Skills catalog | `hermes skills browse` or [Skills catalog](https://hermes-agent.nousresearch.com/docs/reference/skills-catalog) |\\n| Provider setup | `hermes model` or [Providers guide](https://hermes-agent.nousresearch.com/docs/integrations/providers) |\\n| Platform setup | `hermes gateway setup` or [Messaging docs](https://hermes-agent.nousresearch.com/docs/user-guide/messaging/) |\\n| MCP servers | `hermes mcp list` or [MCP guide](https://hermes-agent.nousresearch.com/docs/user-guide/features/mcp) |\\n| Profiles | `hermes profile list` or [Profiles docs](https://hermes-agent.nousresearch.com/docs/user-guide/profiles) |\\n| Cron jobs | `hermes cron list` or [Cron docs](https://hermes-agent.nousresearch.com/docs/user-guide/features/cron) |\\n| Memory | `hermes memory status` or [Memory docs](https://hermes-agent.nousresearch.com/docs/user-guide/features/memory) |\\n| Env variables | `hermes config env-path` or [Env vars reference](https://hermes-agent.nousresearch.com/docs/reference/environment-variables) |\\n| CLI commands | `hermes --help` or [CLI reference](https://hermes-agent.nousresearch.com/docs/reference/cli-commands) |\\n| Gateway logs | `~/.hermes/logs/gateway.log` |\\n| Session files | `~/.hermes/sessions/` or `hermes sessions browse` |\\n| Source code | `~/.hermes/hermes-agent/` |\\n\\n---\\n\\n## Contributor Quick Reference\\n\\nFor occasional contributors and PR authors. Full developer docs: https://hermes-agent.nousresearch.com/docs/developer-guide/\\n\\n### Project Layout\\n\\n```\\nhermes-agent/\\n├── run_agent.py # AIAgent — core conversation loop\\n├── model_tools.py # Tool discovery and dispatch\\n├── toolsets.py # Toolset definitions\\n├── cli.py # Interactive CLI (HermesCLI)\\n├── hermes_state.py # SQLite session store\\n├── agent/ # Prompt builder, context compression, memory, model routing, credential pooling, skill dispatch\\n├── hermes_cli/ # CLI subcommands, config, setup, commands\\n│ ├── commands.py # Slash command registry (CommandDef)\\n│ ├── config.py # DEFAULT_CONFIG, env var definitions\\n│ └── main.py # CLI entry point and argparse\\n├── tools/ # One file per tool\\n│ └── registry.py # Central tool registry\\n├── gateway/ # Messaging gateway\\n│ └── platforms/ # Platform adapters (telegram, discord, etc.)\\n├── cron/ # Job scheduler\\n├── tests/ # ~3000 pytest tests\\n└── website/ # Docusaurus docs site\\n```\\n\\nConfig: `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys).\\n\\n### Adding a Tool (3 files)\\n\\n**1. Create `tools/your_tool.py`:**\\n```python\\nimport json, os\\nfrom tools.registry import registry\\n\\ndef check_requirements() -> bool:\\n return bool(os.getenv(\\\"EXAMPLE_API_KEY\\\"))\\n\\ndef example_tool(param: str, task_id: str = None) -> str:\\n return json.dumps({\\\"success\\\": True, \\\"data\\\": \\\"...\\\"})\\n\\nregistry.register(\\n name=\\\"example_tool\\\",\\n toolset=\\\"example\\\",\\n schema={\\\"name\\\": \\\"example_tool\\\", \\\"description\\\": \\\"...\\\", \\\"parameters\\\": {...}},\\n handler=lambda args, **kw: example_tool(\\n param=args.get(\\\"param\\\", \\\"\\\"), task_id=kw.get(\\\"task_id\\\")),\\n check_fn=check_requirements,\\n requires_env=[\\\"EXAMPLE_API_KEY\\\"],\\n)\\n```\\n\\n**2. Add to `toolsets.py`** → `_HERMES_CORE_TOOLS` list.\\n\\nAuto-discovery: any `tools/*.py` file with a top-level `registry.register()` call is imported automatically — no manual list needed.\\n\\nAll handlers must return JSON strings. Use `get_hermes_home()` for paths, never hardcode `~/.hermes`.\\n\\n### Adding a Slash Command\\n\\n1. Add `CommandDef` to `COMMAND_REGISTRY` in `hermes_cli/commands.py`\\n2. Add handler in `cli.py` → `process_command()`\\n3. (Optional) Add gateway handler in `gateway/run.py`\\n\\nAll consumers (help text, autocomplete, Telegram menu, Slack mapping) derive from the central registry automatically.\\n\\n### Agent Loop (High Level)\\n\\n```\\nrun_conversation():\\n 1. Build system prompt\\n 2. Loop while iterations < max:\\n a. Call LLM (OpenAI-format messages + tool schemas)\\n b. If tool_calls → dispatch each via handle_function_call() → append results → continue\\n c. If text response → return\\n 3. Context compression triggers automatically near token limit\\n```\\n\\n### Testing\\n\\n```bash\\npython -m pytest tests/ -o 'addopts=' -q # Full suite\\npython -m pytest tests/tools/ -q # Specific area\\n```\\n\\n- Tests auto-redirect `HERMES_HOME` to temp dirs — never touch real `~/.hermes/`\\n- Run full suite before pushing any change\\n- Use `-o 'addopts='` to clear any baked-in pytest flags\\n\\n### Commit Conventions\\n\\n```\\ntype: concise subject line\\n\\nOptional body.\\n```\\n\\nTypes: `fix:`, `feat:`, `refactor:`, `docs:`, `chore:`\\n\\n### Key Rules\\n\\n- **Never break prompt caching** — don't change context, tools, or system prompt mid-conversation\\n- **Message role alternation** — never two assistant or two user messages in a row\\n- Use `get_hermes_home()` from `hermes_constants` for all paths (profile-safe)\\n- Config values go in `config.yaml`, secrets go in `.env`\\n- New tools need a `check_fn` so they only appear when requirements are met\\n\", \"path\": \"autonomous-ai-agents/hermes-agent/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/autonomous-ai-agents/hermes-agent\", \"linked_files\": {\"references\": [\"references/telegram-gateway-setup.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"hermes\", \"setup\", \"configuration\", \"multi-agent\", \"spawning\", \"cli\", \"gateway\", \"development\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"claude-code\", \"codex\", \"opencode\"]}}}", "tool_call_id": "erAmNE1Y10WpFp52zwNogFrKloyAdSQZ" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "5abBjRJ7WfiBnhaVYQCKmdD8TM1u59w5", "call_id": "5abBjRJ7WfiBnhaVYQCKmdD8TM1u59w5", "response_item_id": "fc_5abBjRJ7WfiBnhaVYQCKmdD8TM1u59w5", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"ocr-and-documents\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"ocr-and-documents\", \"description\": \"Extract text from PDFs/scans (pymupdf, marker-pdf).\", \"tags\": [\"PDF\", \"Documents\", \"Research\", \"Arxiv\", \"Text-Extraction\", \"OCR\"], \"related_skills\": [\"powerpoint\"], \"content\": \"---\\nname: ocr-and-documents\\ndescription: \\\"Extract text from PDFs/scans (pymupdf, marker-pdf).\\\"\\nversion: 2.3.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [PDF, Documents, Research, Arxiv, Text-Extraction, OCR]\\n related_skills: [powerpoint]\\n---\\n\\n# PDF & Document Extraction\\n\\nFor DOCX: use `python-docx` (parses actual document structure, far better than OCR).\\nFor PPTX: see the `powerpoint` skill (uses `python-pptx` with full slide/notes support).\\nThis skill covers **PDFs and scanned documents**.\\n\\n## Step 1: Remote URL Available?\\n\\nIf the document has a URL, **always try `web_extract` first**:\\n\\n```\\nweb_extract(urls=[\\\"https://arxiv.org/pdf/2402.03300\\\"])\\nweb_extract(urls=[\\\"https://example.com/report.pdf\\\"])\\n```\\n\\nThis handles PDF-to-markdown conversion via Firecrawl with no local dependencies.\\n\\nOnly use local extraction when: the file is local, web_extract fails, or you need batch processing.\\n\\n## Step 2: Choose Local Extractor\\n\\n| Feature | pymupdf (~25MB) | marker-pdf (~3-5GB) |\\n|---------|-----------------|---------------------|\\n| **Text-based PDF** | ✅ | ✅ |\\n| **Scanned PDF (OCR)** | ❌ | ✅ (90+ languages) |\\n| **Tables** | ✅ (basic) | ✅ (high accuracy) |\\n| **Equations / LaTeX** | ❌ | ✅ |\\n| **Code blocks** | ❌ | ✅ |\\n| **Forms** | ❌ | ✅ |\\n| **Headers/footers removal** | ❌ | ✅ |\\n| **Reading order detection** | ❌ | ✅ |\\n| **Images extraction** | ✅ (embedded) | ✅ (with context) |\\n| **Images → text (OCR)** | ❌ | ✅ |\\n| **EPUB** | ✅ | ✅ |\\n| **Markdown output** | ✅ (via pymupdf4llm) | ✅ (native, higher quality) |\\n| **Install size** | ~25MB | ~3-5GB (PyTorch + models) |\\n| **Speed** | Instant | ~1-14s/page (CPU), ~0.2s/page (GPU) |\\n\\n**Decision**: Use pymupdf unless you need OCR, equations, forms, or complex layout analysis.\\n\\n**For medical/laboratory PDFs with complex tables** (Blutbilder, Laborberichte): Use **camelot** (`pip install camelot-py[cv]`) — it extracts table structures with high accuracy, far superior to pymupdf for tabular data.\\n\\n**For scanned medical documents**: Use **PyMuPDF (fitz)** for text extraction; combine with **pytesseract** for pure image-based PDFs.\\n\\nIf the user needs marker capabilities but the system lacks ~5GB free disk:\\n> \\\"This document needs OCR/advanced extraction (marker-pdf), which requires ~5GB for PyTorch and models. Your system has [X]GB free. Options: free up space, provide a URL so I can use web_extract, or I can try pymupdf which works for text-based PDFs but not scanned documents or equations.\\\"\\n\\n---\\n\\n## camelot (PDF Table Extraction — Elite)\\n\\n```bash\\npip install camelot-py[cv]\\n```\\n\\n**Required:** Ghostscript installed (`apt install ghostscript`) — camelot depends on it.\\n\\n```python\\nimport camelot\\ntables = camelot.read_pdf('laborbericht.pdf', flavor='lattice') # Grid-based tables\\n# OR\\ntables = camelot.read_pdf('laborbericht.pdf', flavor='stream') # Space-separated tables\\n\\n# Extract to DataFrame\\ndf = tables[0].df # First table as DataFrame\\ndf.to_csv('output.csv') # Save to CSV\\n```\\n\\n**Decision:** Use camelot for laboratory reports, medical charts, and any PDF with structured tabular data. It preserves column alignment and cell structure far better than pymupdf.\\n\\n**Pitfall:** camelot requires Ghostscript. If `gs` is not found, install with `apt install ghostscript`. Without it, camelot will silently fail or raise `GhostscriptNotFoundError`.\\n\\n**Pitfall:** For scanned PDFs, camelot may not work — use PyMuPDF + pytesseract for OCR instead.\\n\\n---\\n\\n## pymupdf (lightweight)\\n\\n```bash\\npip install pymupdf pymupdf4llm\\n```\\n\\n**Via helper script**:\\n```bash\\npython scripts/extract_pymupdf.py document.pdf # Plain text\\npython scripts/extract_pymupdf.py document.pdf --markdown # Markdown\\npython scripts/extract_pymupdf.py document.pdf --tables # Tables\\npython scripts/extract_pymupdf.py document.pdf --images out/ # Extract images\\npython scripts/extract_pymupdf.py document.pdf --metadata # Title, author, pages\\npython scripts/extract_pymupdf.py document.pdf --pages 0-4 # Specific pages\\n```\\n\\n**Inline**:\\n```bash\\npython3 -c \\\"\\nimport pymupdf\\ndoc = pymupdf.open('document.pdf')\\nfor page in doc:\\n print(page.get_text())\\n\\\"\\n```\\n\\n---\\n\\n## marker-pdf (high-quality OCR)\\n\\n```bash\\n# Check disk space first\\npython scripts/extract_marker.py --check\\n\\npip install marker-pdf\\n```\\n\\n**Via helper script**:\\n```bash\\npython scripts/extract_marker.py document.pdf # Markdown\\npython scripts/extract_marker.py document.pdf --json # JSON with metadata\\npython scripts/extract_marker.py document.pdf --output_dir out/ # Save images\\npython scripts/extract_marker.py scanned.pdf # Scanned PDF (OCR)\\npython scripts/extract_marker.py document.pdf --use_llm # LLM-boosted accuracy\\n```\\n\\n**CLI** (installed with marker-pdf):\\n```bash\\nmarker_single document.pdf --output_dir ./output\\nmarker /path/to/folder --workers 4 # Batch\\n```\\n\\n---\\n\\n## Arxiv Papers\\n\\n```\\n# Abstract only (fast)\\nweb_extract(urls=[\\\"https://arxiv.org/abs/2402.03300\\\"])\\n\\n# Full paper\\nweb_extract(urls=[\\\"https://arxiv.org/pdf/2402.03300\\\"])\\n\\n# Search\\nweb_search(query=\\\"arxiv GRPO reinforcement learning 2026\\\")\\n```\\n\\n## Split, Merge & Search\\n\\npymupdf handles these natively — use `execute_code` or inline Python:\\n\\n```python\\n# Split: extract pages 1-5 to a new PDF\\nimport pymupdf\\ndoc = pymupdf.open(\\\"report.pdf\\\")\\nnew = pymupdf.open()\\nfor i in range(5):\\n new.insert_pdf(doc, from_page=i, to_page=i)\\nnew.save(\\\"pages_1-5.pdf\\\")\\n```\\n\\n```python\\n# Merge multiple PDFs\\nimport pymupdf\\nresult = pymupdf.open()\\nfor path in [\\\"a.pdf\\\", \\\"b.pdf\\\", \\\"c.pdf\\\"]:\\n result.insert_pdf(pymupdf.open(path))\\nresult.save(\\\"merged.pdf\\\")\\n```\\n\\n```python\\n# Search for text across all pages\\nimport pymupdf\\ndoc = pymupdf.open(\\\"report.pdf\\\")\\nfor i, page in enumerate(doc):\\n results = page.search_for(\\\"revenue\\\")\\n if results:\\n print(f\\\"Page {i+1}: {len(results)} match(es)\\\")\\n print(page.get_text(\\\"text\\\"))\\n```\\n\\nNo extra dependencies needed — pymupdf covers split, merge, search, and text extraction in one package.\\n\\n---\\n\\n## Notes\\n\\n- `web_extract` is always first choice for URLs\\n- pymupdf is the safe default — instant, no models, works everywhere\\n- marker-pdf is for OCR, scanned docs, equations, complex layouts — install only when needed\\n- Both helper scripts accept `--help` for full usage\\n- marker-pdf downloads ~2.5GB of models to `~/.cache/huggingface/` on first use\\n- For medical/laboratory PDFs: **camelot** is preferred over pymupdf for table extraction (see below)\\n- For Word docs: `pip install python-docx` (better than OCR — parses actual structure)\\n- For PowerPoint: see the `powerpoint` skill (uses python-pptx)\\n- For PDF tables: `camelot-py[cv]` requires Ghostscript (`apt install ghostscript`)\\n\", \"path\": \"productivity/ocr-and-documents/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/productivity/ocr-and-documents\", \"linked_files\": {\"scripts\": [\"scripts/extract_pymupdf.py\", \"scripts/extract_marker.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"PDF\", \"Documents\", \"Research\", \"Arxiv\", \"Text-Extraction\", \"OCR\"], \"related_skills\": [\"powerpoint\"]}}}", "tool_call_id": "5abBjRJ7WfiBnhaVYQCKmdD8TM1u59w5" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "b8mC7DptYondlT3KLTvrWRCCYiswg1L7", "call_id": "b8mC7DptYondlT3KLTvrWRCCYiswg1L7", "response_item_id": "fc_b8mC7DptYondlT3KLTvrWRCCYiswg1L7", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"self-improvement\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": false, \"error\": \"Skill 'self-improvement' not found.\", \"available_skills\": [\"cronjob\", \"dogfood\", \"edge-tts\", \"yuanbao\", \"claude-code\", \"codex\", \"hermes-agent\", \"opencode\", \"architecture-diagram\", \"ascii-art\", \"ascii-video\", \"baoyu-comic\", \"baoyu-infographic\", \"claude-design\", \"comfyui\", \"design-md\", \"excalidraw\", \"humanizer\", \"ideation\", \"manim-video\"], \"hint\": \"Use skills_list to see all available skills\"}", "tool_call_id": "b8mC7DptYondlT3KLTvrWRCCYiswg1L7" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "M2gaUmDkQitVEUFrdNF2A7zbcqFXS8D5", "call_id": "M2gaUmDkQitVEUFrdNF2A7zbcqFXS8D5", "response_item_id": "fc_M2gaUmDkQitVEUFrdNF2A7zbcqFXS8D5", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"hermes-agent-skill-authoring\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"hermes-agent-skill-authoring\", \"description\": \"Author in-repo SKILL.md: frontmatter, validator, structure.\", \"tags\": [\"skills\", \"authoring\", \"hermes-agent\", \"conventions\", \"skill-md\"], \"related_skills\": [\"writing-plans\", \"requesting-code-review\"], \"content\": \"---\\nname: hermes-agent-skill-authoring\\ndescription: \\\"Author in-repo SKILL.md: frontmatter, validator, structure.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [skills, authoring, hermes-agent, conventions, skill-md]\\n related_skills: [writing-plans, requesting-code-review]\\n---\\n\\n# Authoring Hermes-Agent Skills (in-repo)\\n\\n## Overview\\n\\nThere are two places a SKILL.md can live:\\n\\n1. **User-local:** `~/.hermes/skills/<maybe-category>/<name>/SKILL.md` — personal, not shared. Created via `skill_manage(action='create')`.\\n2. **In-repo (this skill is about this case):** `/home/bb/hermes-agent/skills/<category>/<name>/SKILL.md` — committed, shipped with the package. Use `write_file` + `git add`. `skill_manage(action='create')` does NOT target this tree.\\n\\n## When to Use\\n\\n- User asks you to add a skill \\\"in this branch / repo / commit\\\"\\n- You're committing a reusable workflow that should ship with hermes-agent\\n- You're editing an existing skill under `/home/bb/hermes-agent/skills/` (use `patch` for small edits, `write_file` for rewrites; `skill_manage` still works for patch on in-repo skills, but not for `create`)\\n\\n## Required Frontmatter\\n\\nSource of truth: `tools/skill_manager_tool.py::_validate_frontmatter`. Hard requirements:\\n\\n- Starts with `---` as the first bytes (no leading blank line).\\n- Closes with `\\\\n---\\\\n` before the body.\\n- Parses as a YAML mapping.\\n- `name` field present.\\n- `description` field present, ≤ **1024 chars** (`MAX_DESCRIPTION_LENGTH`).\\n- Non-empty body after the closing `---`.\\n\\nPeer-matched shape used by every skill under `skills/software-development/`:\\n\\n```yaml\\n---\\nname: my-skill-name # lowercase, hyphens, ≤64 chars (MAX_NAME_LENGTH)\\ndescription: Use when <trigger>. <one-line behavior>.\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [short, descriptive, tags]\\n related_skills: [other-skill, another-skill]\\n---\\n```\\n\\n`version` / `author` / `license` / `metadata` are NOT enforced by the validator, but every peer has them — omit and your skill sticks out.\\n\\n## Size Limits\\n\\n- Description: ≤ 1024 chars (enforced).\\n- Full SKILL.md: ≤ 100,000 chars (enforced as `MAX_SKILL_CONTENT_CHARS`, ~36k tokens).\\n- Peer skills in `software-development/` sit at **8-14k chars**. Aim for that range. If you're pushing past 20k, split into `references/*.md` and reference them from SKILL.md.\\n\\n## Peer-Matched Structure\\n\\nEvery in-repo skill follows roughly:\\n\\n```\\n# <Title>\\n\\n## Overview\\nOne or two paragraphs: what and why.\\n\\n## When to Use\\n- Bulleted triggers\\n- \\\"Don't use for:\\\" counter-triggers\\n\\n## <Topic sections specific to the skill>\\n- Quick-reference tables are common\\n- Code blocks with exact commands\\n- Hermes-specific recipes (tests via scripts/run_tests.sh, ui-tui paths, etc.)\\n\\n## Common Pitfalls\\nNumbered list of mistakes and their fixes.\\n\\n## Verification Checklist\\n- [ ] Checkbox list of post-action verifications\\n\\n## One-Shot Recipes (optional)\\nNamed scenarios → concrete command sequences.\\n```\\n\\nNot every section is mandatory, but `Overview` + `When to Use` + actionable body + pitfalls are the minimum for the skill to feel like a peer.\\n\\n## Directory Placement\\n\\n```\\nskills/<category>/<skill-name>/SKILL.md\\n```\\n\\nCategories currently in repo (confirm with `ls skills/`): `autonomous-ai-agents`, `creative`, `data-science`, `devops`, `dogfood`, `email`, `gaming`, `github`, `leisure`, `mcp`, `media`, `mlops/*`, `note-taking`, `productivity`, `red-teaming`, `research`, `smart-home`, `social-media`, `software-development`.\\n\\nPick the closest existing category. Don't invent new top-level categories casually.\\n\\n## Workflow\\n\\n1. **Survey peers** in the target category:\\n ```\\n ls skills/<category>/\\n ```\\n Read 2-3 peer SKILL.md files to match tone and structure.\\n2. **Check validator constraints** in `tools/skill_manager_tool.py` if unsure.\\n3. **Draft** with `write_file` to `skills/<category>/<name>/SKILL.md`.\\n4. **Validate locally**:\\n ```python\\n import yaml, re, pathlib\\n content = pathlib.Path(\\\"skills/<category>/<name>/SKILL.md\\\").read_text()\\n assert content.startswith(\\\"---\\\")\\n m = re.search(r'\\\\n---\\\\s*\\\\n', content[3:])\\n fm = yaml.safe_load(content[3:m.start()+3])\\n assert \\\"name\\\" in fm and \\\"description\\\" in fm\\n assert len(fm[\\\"description\\\"]) <= 1024\\n assert len(content) <= 100_000\\n ```\\n5. **Git add + commit** on the active branch.\\n6. **Note:** the CURRENT session's skill loader is cached — `skill_view` / `skills_list` will not see the new skill until a new session. This is expected, not a bug.\\n\\n## Cross-Referencing Other Skills\\n\\n`metadata.hermes.related_skills` unions both trees (`skills/` in-repo and `~/.hermes/skills/`) at load time. You CAN reference a user-local skill from an in-repo skill, but it won't resolve for other users who clone the repo fresh. Prefer referencing only in-repo skills from in-repo skills. If a frequently-referenced skill lives only in `~/.hermes/skills/`, consider promoting it to the repo.\\n\\n## Editing Existing In-Repo Skills\\n\\n- **Small fix (typo, added pitfall, tightened trigger):** `skill_manage(action='patch', name=..., old_string=..., new_string=...)` works fine on in-repo skills.\\n- **Major rewrite:** `write_file` the whole SKILL.md. `skill_manage(action='edit')` also works but requires supplying the full new content.\\n- **Adding supporting files:** `write_file` to `skills/<category>/<name>/references/<file>.md`, `templates/<file>`, or `scripts/<file>`. `skill_manage(action='write_file')` also works and enforces the references/templates/scripts/assets subdir allowlist.\\n- **Always commit** the edit — in-repo skills are source, not runtime state.\\n\\n## Common Pitfalls\\n\\n1. **Using `skill_manage(action='create')` for an in-repo skill.** It writes to `~/.hermes/skills/`, not the repo tree. Use `write_file` for in-repo creation.\\n\\n2. **Leading whitespace before `---`.** The validator checks `content.startswith(\\\"---\\\")`; any leading blank line or BOM fails validation.\\n\\n3. **Description too generic.** Peer descriptions start with \\\"Use when ...\\\" and describe the *trigger class*, not the one task. \\\"Use when debugging X\\\" > \\\"Debug X\\\".\\n\\n4. **Forgetting the author/license/metadata block.** Not validator-enforced, but every peer has it; omitting makes the skill look half-finished.\\n\\n5. **Writing a skill that duplicates a peer.** Before creating, `ls skills/<category>/` and open 2-3 peers. Prefer extending an existing skill to creating a narrow sibling.\\n\\n6. **Expecting the current session to see the new skill.** It won't. The skill loader is initialized at session start. Verify in a fresh session or via `skill_view` using the exact path.\\n\\n7. **Linking to skills that don't exist in-repo.** `related_skills: [some-user-local-skill]` works for you but breaks for other clones. Prefer only in-repo links.\\n\\n## Verification Checklist\\n\\n- [ ] File is at `skills/<category>/<name>/SKILL.md` (not in `~/.hermes/skills/`)\\n- [ ] Frontmatter starts at byte 0 with `---`, closes with `\\\\n---\\\\n`\\n- [ ] `name`, `description`, `version`, `author`, `license`, `metadata.hermes.{tags, related_skills}` all present\\n- [ ] Name ≤ 64 chars, lowercase + hyphens\\n- [ ] Description ≤ 1024 chars and starts with \\\"Use when ...\\\"\\n- [ ] Total file ≤ 100,000 chars (aim for 8-15k)\\n- [ ] Structure: `# Title` → `## Overview` → `## When to Use` → body → `## Common Pitfalls` → `## Verification Checklist`\\n- [ ] `related_skills` references resolve in-repo (or are explicitly OK to be user-local)\\n- [ ] `git add skills/<category>/<name>/ && git commit` completed on the intended branch\\n\", \"path\": \"software-development/hermes-agent-skill-authoring/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/software-development/hermes-agent-skill-authoring\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"skills\", \"authoring\", \"hermes-agent\", \"conventions\", \"skill-md\"], \"related_skills\": [\"writing-plans\", \"requesting-code-review\"]}}}", "tool_call_id": "M2gaUmDkQitVEUFrdNF2A7zbcqFXS8D5" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "nO4oySAo6HPmjpaTpx1ll6aSVn30Anbb", "call_id": "nO4oySAo6HPmjpaTpx1ll6aSVn30Anbb", "response_item_id": "fc_nO4oySAo6HPmjpaTpx1ll6aSVn30Anbb", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"health-data-management\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-data-management\", \"description\": \"Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet alle Gesundheitsdaten (Laborwerte, Dokumente, Symptome, Auswertungen)\", \"tags\": [\"health\", \"database\", \"pdf\", \"camelot\", \"watchdog\", \"statistics\"], \"related_skills\": [], \"content\": \"---\\nname: health-data-management\\ndescription: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet alle Gesundheitsdaten (Laborwerte, Dokumente, Symptome, Auswertungen)\\nversion: 2.0.0\\ntags: [health, database, pdf, camelot, watchdog, statistics]\\n---\\n\\n# Health Data Management — Chief Medical Data Officer\\n\\n## Übersicht\\n\\nAlle Gesundheitsdaten unter `~/.hermes/assets/Gesundheit/`.\\n275 Laborwerte, 55+ Dokumente, 239 Events, 3 Medikamente.\\nMaster-Datenbank: `health_data.db` mit 12 Tabellen.\\n\\n## Verzeichnisstruktur\\n\\n```\\nGesundheit/\\n├── health_data.db # Master-Datenbank (12 Tabellen)\\n├── inbox/ # Neue Dokumente (Watchdog überwacht)\\n├── processed/ # Verarbeitete Dokumente\\n├── archiv/ # Alle Dokumente kategorisiert\\n│ ├── laborberichte/\\n│ ├── klinische_befunde/\\n│ ├── medikamente/\\n│ ├── krankheitsgeschichte/\\n│ ├── wearables/\\n│ ├── ernaehrung/\\n│ └── sonstiges/\\n├── reports/ # Generierte Reports (PNG, HTML)\\n├── scripts/ # Verarbeitungs-Skripte\\n│ ├── health_manager.py # Haupt-Manager (CRP, Korrelationen, Dashboards)\\n│ ├── health_watchdog.py # Daemon für automatische PDF-Verarbeitung\\n│ ├── health_watchdog.sh # Start/Stop/Status Wrapper\\n│ └── verify_system.py # System-Verification\\n├── backup_original/ # FRIDAY-Backup (62 Dateien)\\n└── logs/ # Watchdog-Logs\\n```\\n\\n## Datenbank-Schema (12 Tabellen)\\n\\n1. **laborwerte** — 275 Laborwerte (FRIDAY-kompatibel: `parameter_name`, `wert` als TEXT)\\n2. **health_events** — 239 Events\\n3. **dokumente** — Dokumente mit CHECK constraints: `status IN ('neu','eingearbeitet','archiviert')`, `daten_typ IN ('pdf','image')`\\n4. **medikamente** — 3 Medikamente (Colchicine, Eliquis, Prednison)\\n5. **dokumente_status** — Status-Tracking\\n6. **symptome** — Symptom-Tracking\\n7. **symptom_log** — Symptom-Tagebuch\\n8. **vitalzeichen** — Blutdruck, Puls, Temperatur\\n9. **arztbesuche** — Arztbesuche\\n10. **ernaehrung** — Ernährungsdaten\\n11. **auswertungen** — Generierte Reports\\n12. **processing_log** — Verarbeitungsprotokoll\\n\\n## Workflow\\n\\n### Dokumenten-Klassifizierung (KRITISCH)\\n\\n**Arztbericht** (Ambulanter Bericht, Konsultation, Visitenbericht):\\n- Kategorie: `BEFUNDE`\\n- Methode: PyMuPDF (fitz) → Volltext extrahieren\\n- Speicherung: Volltext in `extrahierte_inhalte` für spähere Abfragen\\n- Metadaten: Dokumentdatum, Behandler, Diagnose als Annotation am Textbeginn\\n- Datei: `archiv/befunde/`\\n\\n**Laborbericht** (Blutwerte, Urin, Befunde mit tabellarischen Werten):\\n- Kategorie: `LABOR`\\n- Methode: Camelot/pdfplumber → tabellarische Werte extrahieren\\n- Speicherung: Einzelne rows in `laborwerte` Tabelle\\n- Datei: `archiv/laborberichte/`\\n\\n**Sonstiges** (Rezepte, Sonstiges):\\n- Kategorie: `SONSTIGES`\\n- Methode: Je nach Inhalt\\n- Datei: `archiv/sonstiges/`\\n\\n### Verarbeitungsablauf\\n\\n1. Dokument → `inbox/` kopieren\\n2. Dokument-Typ klassifizieren (Arztbericht vs. Laborbericht)\\n3. **Fallback:** Watchdog-Daemon ist unzuverlässig → manuell verarbeiten mit `health_manager.process_inbox_pdf()`\\n4. Bei Arztbericht: PyMuPDF Volltext → Datenbank (extrahierte_inhalte)\\n5. Bei Laborbericht: Camelot/pdfplumber → laborwerte Tabelle\\n6. Metadaten extrahieren (Datum, Behandler, Diagnose) → im Text annotieren\\n7. Datenbank-Eintrag erstellen/aktualisieren mit korrekter Kategorie\\n8. Status auf `eingearbeitet` setzen\\n9. Datei an korrekten Archiv-Ort verschieben\\n\\n## Health Manager Subagent\\n\\n### Haupt-Skript: `health_manager.py`\\n\\n**Methoden:**\\n- `get_laborwerte(parameter, start_date, end_date)` — Laborwerte laden (FRIDAY-Schema: `parameter_name`, `ermittlung_datum`)\\n- `compute_crp_trend()` — CRP-Trend mit scipy (P-Werte)\\n- `compute_correlations(target_parameter)` — Korrelationsanalyse mit statsmodels\\n- `generate_plotly_dashboard(output_path)` — Interaktives HTML-Dashboard\\n- `generate_profiling_report(output_path)` — ydata-profiling HTML-Report\\n- `generate_heatmap(parameter_list, output_path)` — Heatmap mit matplotlib/seaborn\\n- `process_inbox_pdf(pdf_path)` — Manuelle PDF-Verarbeitung\\n\\n### Watchdog-Daemon\\n\\n```bash\\n# Starten\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh start\\n\\n# Stoppen\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh stop\\n\\n# Status\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh status\\n\\n# Neustarten\\nbash ~/.hermes/assets/Gesundheit/scripts/health_watchdog.sh restart\\n```\\n\\n### Python-Umgebung\\n\\n- Skripte laufen unter `/usr/bin/python3.12`\\n- Alle Pakete: `pip install --break-system-packages`\\n- Watchdog-PID: `~/.hermes/assets/Gesundheit/health_watchdog.pid`\\n- System-Verification: `python3.12 scripts/verify_system.py`\\n\\n## Support Files\\n\\n- `references/drive-workflow.md` — Google Drive Befehle, Folder-IDs, Upload/Download-Workflow\\n- `references/gog-email-attachments.md` — GOG Gmail Attachment-Download, Umbenennung langer Dateinamen, Dokumenten-Verarbeitung\\n- `references/friday-db-schema-compat.md` — FRIDAY-Schema-Kompatibilität, Debugging-Checkliste, Wert-Konvertierung\\n- `references/health-manager-pitfalls.md` — Häufige Bugs: Variable Shadowing, CHECK-Constraints, Watchdog-Management, FRIDAY-Kompatibilität\\n- `references/document-classification.md` — Arztbericht vs. Laborbericht Klassifizierung, Quick-Decision-Tree\\n\\n## Google Drive Integration\\n\\n### Drive-Ordner-Struktur\\n\\n- **Gesundheitsdaten Inbox** (Upload-Ort): `1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE`\\n- **Archiv** (Verarbeitete Dokumente): `1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe`\\n\\n### Drive-Workflow: Neue Dokumente aus Google Drive Inbox verarbeiten\\n\\n1. **Inbox prüfen:** `gog -a friday.uplink@gmail.com drive ls --parent <inbox_id> --json`\\n2. **Neue Dateien identifizieren** (nicht im lokalen Archiv vorhanden)\\n3. **Download:** `gog -a friday.uplink@gmail.com drive download <file_id>`\\n4. **Lokale Kopie** nach `~/.hermes/assets/Gesundheit/inbox/` verschieben\\n5. **Dokument klassifizieren** (Arztbericht vs. Laborbericht)\\n6. **Text extrahieren** (PyMuPDF für PDFs, Camelot für Labor-Tabellen)\\n7. **Datenbank aktualisieren** (laborwerte, health_events, dokumente)\\n8. **Datei ins lokale Archiv** verschieben\\n9. **Datei ins Google Drive Archiv** hochladen: `gog -a friday.uplink@gmail.com drive upload <local_path> --parent <archiv_id>`\\n10. **Datei aus Inbox löschen** (optional: `gog drive delete <file_id>`)\\n11. **Benachrichtigung** an den User über die Erkenntnisse\\n\\n### Pitfalls\\n\\n- **`GOG_KEYRING_PASSWORD=LammBitch30`** muss bei jedem gog-Befehl gesetzt werden\\n- **`--parent <folder_id>`** statt `--folder` Flag verwenden\\n- **`--json`** Flag für parsebare JSON-Ausgabe\\n- Drive-Download speichert in `~/.config/gogcli/` — Datei muss manuell verschoben werden\\n- **`gog drive download`** ohne Parameter zeigt nur Root-Ordner — immer `--parent` mit Folder-ID verwenden\\n\\n- FRIDAY wird NICHT mehr für Gesundheitsdaten verwendet — alles JARVIS\\n- `backup_original/` enthält alle Originaldateien\\n- Werte `'<5.0'` etc. müssen vor numerischen Operationen geparsed werden (`lstrip('<>=')`)\\n- Datenbank-INSERTs prüfen CHECK-Constraints: `status` muss `'neu'`, `'eingearbeitet'` oder `'archiviert'` sein; `daten_typ` muss `'pdf'` oder `'image'` sein\\n- Watchdog-Daemon unzuverlässig → manuelle Verarbeitung mit `health_manager.process_inbox_pdf()` bevorzugen\\n- `.xlsx` Dateien: Mit `openpyxl` lesen, als Volltext in Datenbank speichern (keine Laborwerte!)\\n- Immer Dokumentendatum innerhalb des Dokuments extrahieren und im Text annotieren: `[DOKUMENTDATUM: YYYY-MM-DD]`\", \"path\": \"health/health-data-management/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/health/health-data-management\", \"linked_files\": {\"references\": [\"references/gog-email-attachments.md\", \"references/friday-db-schema-compat.md\", \"references/document-classification.md\", \"references/health-manager-pitfalls.md\", \"references/drive-workflow.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "nO4oySAo6HPmjpaTpx1ll6aSVn30Anbb" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "jpHsMvw0U5kJTpsuQysbQndGzv1kcTDJ", "call_id": "jpHsMvw0U5kJTpsuQysbQndGzv1kcTDJ", "response_item_id": "fc_jpHsMvw0U5kJTpsuQysbQndGzv1kcTDJ", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"health-data-management\",\"file_path\":\"references/drive-workflow.md\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-data-management\", \"file\": \"references/drive-workflow.md\", \"content\": \"# Google Drive Dokumenten-Verarbeitung — Konkrete Befehle und IDs\\n\\n## Drive-Ordner-IDs\\n\\n| Ordner | ID | Zweck |\\n|--------|------|-------|\\n| Gesundheitsdaten Inbox | `1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE` | Upload-Ort für neue Dokumente |\\n| Archiv | `1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe` | Verarbeitete Dokumente |\\n\\n## Wichtige Befehle\\n\\n### Inbox prüfen\\n```bash\\nGOG_KEYRING_PASSWORD=LammBitch30 gog -a friday.uplink@gmail.com drive ls --parent 1HOJXzIjJaUUoLGZgJjAR5V6ZCsOBsGgE --json\\n```\\n\\n### Datei herunterladen\\n```bash\\nGOG_KEYRING_PASSWORD=LammBitch30 gog -a friday.uplink@gmail.com drive download <file_id>\\n```\\nOutput: speichert in `~/.config/gogcli/` mit generiertem Dateinamen\\n\\n### Datei ins lokale Archiv verschieben\\n```bash\\nmv ~/.config/gogcli/<generated_name> ~/.hermes/assets/Gesundheit/inbox/<benannter_datei>\\n```\\n\\n### Datei ins Google Drive Archiv hochladen\\n```bash\\nGOG_KEYRING_PASSWORD=LammBitch30 gog -a friday.uplink@gmail.com drive upload ~/.hermes/assets/Gesundheit/archiv/<kategorie>/<dateiname> --parent 1H2zXafzbaRobY8XDcPyRpZBE6mXeTcJe\\n```\\n\\n### Datei aus Inbox löschen\\n```bash\\nGOG_KEYRING_PASSWORD=LammBitch30 gog -a friday.uplink@gmail.com drive delete <file_id>\\n```\\n\\n### Pitfalls\\n- `gog drive ls` ohne `--parent` zeigt nur Root-Ordner\\n- `--folder` Flag existiert NICHT — `--parent` verwenden\\n- Drive-Download erzeugt lange generierte Dateinamen\\n- `GOG_KEYRING_PASSWORD=LammBitch30` muss bei JEDEM gog-Befehl gesetzt werden\\n- Drive-Upload zeigt keine Bestätigung — mit `drive ls --parent` prüfen\\n\", \"file_type\": \".md\"}", "tool_call_id": "jpHsMvw0U5kJTpsuQysbQndGzv1kcTDJ" }, { "role": "assistant", "content": "Now I have the full picture. Here are the learnings from this session:\n\n1. **gog drive move** uses `--parent` flag, NOT `--to` or `--id`\n2. **OCR for scanned PDFs with tables**: Tesseract PSM=6 works best for mixed text+tables, but values in image-based PDFs are often obscured — need to check if values are actually visible in the PDF first\n3. **Python environment**: `fitz`/`pytesseract` are in `~/.local/lib/python3.12/site-packages`, not in the hermes-agent venv\n4. **gog drive download** saves to `~/.config/gogcli/` with generated filename — needs manual rename\n5. **Cron job creation** requires `schedule` parameter (cron expression), not just interval\n\nLet me update the relevant skills:", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "zD3sLg5Qu6u1VbjyUjxjnaf9BIfMgIFb", "call_id": "zD3sLg5Qu6u1VbjyUjxjnaf9BIfMgIFb", "response_item_id": "fc_zD3sLg5Qu6u1VbjyUjxjnaf9BIfMgIFb", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"gog\",\"old_string\":\"## Keyring / Authentication\\n\\n- Set `GOG_KEYRING_PASSWORD` as an environment variable to avoid TTY prompts when gog needs to read tokens from the keyring backend. Without it, gog will fail with `no TTY available for keyring file backend password prompt`.\\n- For scripting, always pass `--no-input` to fail fast instead of hanging on interactive prompts.\",\"new_string\":\"## Drive File Operations\\n\\n### Move/Rename Files\\n- **Move to folder:** `gog drive move <fileId> --parent <new_folder_id>` — `--parent` is the REQUIRED flag (NOT `--to` or `--id`).\\n- **Download:** `gog drive download <fileId>` — saves to `~/.config/gogcli/` with auto-generated filename. Must manually rename and move to target directory.\\n- **Upload:** `gog drive upload <local_path> --parent <folder_id>`\\n- **Delete:** `gog drive delete <fileId>`\\n\\n### Listing Files\\n- **Root only:** `gog drive ls` (no flags)\\n- **Subfolder:** `gog drive ls --parent <folder_id> --json` — `--folder` does NOT exist, use `--parent`\\n- **JSON output:** Always use `--json` for scripting. Use `--plain` for stable parseable text.\\n\\n### Pitfalls\\n- **`GOG_KEYRING_PASSWORD`**: Must be set as env var for every gog command that needs auth. Without it: `no TTY available for keyring file backend password prompt`.\\n- **`--parent` not `--to`**: `gog drive move` uses `--parent <folder_id>`, NOT `--to`. `--to` is unknown flag.\\n- **Download saves to `~/.config/gogcli/`**: File has auto-generated name. Must rename manually.\\n- **`--json` for scripting**: Always use `--json` for machine-parseable output. `--plain` for stable text output.\\n- **`--no-input`**: Always pass to fail fast on interactive prompts in scripts.\\n\\n## Keyring / Authentication\\n\\n- Set `GOG_KEYRING_PASSWORD` as an environment variable to avoid TTY prompts when gog needs to read tokens from the keyring backend. Without it, gog will fail with `no TTY available for keyring file backend password prompt`.\\n- For scripting, always pass `--no-input` to fail fast instead of hanging on interactive prompts.\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'gog' (1 replacement).\"}", "tool_call_id": "zD3sLg5Qu6u1VbjyUjxjnaf9BIfMgIFb" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "NbIJiPsnN693hFRSSXKF6EO7qwjkJozI", "call_id": "NbIJiPsnN693hFRSSXKF6EO7qwjkJozI", "response_item_id": "fc_NbIJiPsnN693hFRSSXKF6EO7qwjkJozI", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-data-management\",\"new_string\":\"### Pitfalls\\n\\n- **`GOG_KEYRING_PASSWORD=LammBitch30`** muss bei jedem gog-Befehl gesetzt werden\\n- **`--parent <folder_id>`** statt `--folder` Flag verwenden (Flag `--folder` existiert NICHT)\\n- **`gog drive move`** verwendet `--parent <folder_id>`, NICHT `--to` oder `--id`\\n- **`--json`** Flag für parsebare JSON-Ausgabe\\n- Drive-Download speichert in `~/.config/gogcli/` mit GENERIERTEM Dateinamen — Datei muss manuell umbenannt und verschoben werden\\n- **`gog drive download`** ohne Parameter zeigt nur Root-Ordner — immer `--parent` mit Folder-ID verwenden\\n- OCR bei reinen Bild-PDFs (scanned): Tesseract PSM=6 für tabellarische Daten, aber viele Werte können im PDF selbst obscured sein — prüfen ob Werte lesbar bevor man OCR durchführt\\n- Python-Pakete (fitz, pytesseract) liegen in `~/.local/lib/python3.12/site-packages`, NICHT im hermes-agent venv\\n- FRIDAY wird NICHT mehr für Gesundheitsdaten verwendet — alles JARVIS\\n- `backup_original/` enthält alle Originaldateien\\n- Werte `'<5.0'` etc. müssen vor numerischen Operationen geparsed werden (`lstrip('<>=')`)\\n- Datenbank-INSERTs prüfen CHECK-Constraints: `status` muss `'neu'`, `'eingearbeitet'` oder `'archiviert'` sein; `daten_typ` muss `'pdf'` oder `'image'` sein\\n- Watchdog-Daemon unzuverlässig → manuelle Verarbeitung mit `health_manager.process_inbox_pdf()` bevorzugen\\n- `.xlsx` Dateien: Mit `openpyxl` lesen, als Volltext in Datenbank speichern (keine Laborwerte!)\\n- Immer Dokumentendatum innerhalb des Dokuments extrahieren und im Text annotieren: `[DOKUMENTDATUM: YYYY-MM-DD]`\",\"old_string\":\"### Pitfalls\\n\\n- **`GOG_KEYRING_PASSWORD=LammBitch30`** muss bei jedem gog-Befehl gesetzt werden\\n- **`--parent <folder_id>`** statt `--folder` Flag verwenden\\n- **`--json`** Flag für parsebare JSON-Ausgabe\\n- Drive-Download speichert in `~/.config/gogcli/` — Datei muss manuell verschoben werden\\n- **`gog drive download`** ohne Parameter zeigt nur Root-Ordner — immer `--parent` mit Folder-ID verwenden\\n\\n- FRIDAY wird NICHT mehr für Gesundheitsdaten verwendet — alles JARVIS\\n- `backup_original/` enthält alle Originaldateien\\n- Werte `'<5.0'` etc. müssen vor numerischen Operationen geparsed werden (`lstrip('<>=')`)\\n- Datenbank-INSERTs prüfen CHECK-Constraints: `status` muss `'neu'`, `'eingearbeitet'` oder `'archiviert'` sein; `daten_typ` muss `'pdf'` oder `'image'` sein\\n- Watchdog-Daemon unzuverlässig → manuelle Verarbeitung mit `health_manager.process_inbox_pdf()` bevorzugen\\n- `.xlsx` Dateien: Mit `openpyxl` lesen, als Volltext in Datenbank speichern (keine Laborwerte!)\\n- Immer Dokumentendatum innerhalb des Dokuments extrahieren und im Text annotieren: `[DOKUMENTDATUM: YYYY-MM-DD]`\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-data-management' (1 replacement).\"}", "tool_call_id": "NbIJiPsnN693hFRSSXKF6EO7qwjkJozI" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "liaZ7ea0z732U68umTsq1mLlm2Z7OgCa", "call_id": "liaZ7ea0z732U68umTsq1mLlm2Z7OgCa", "response_item_id": "fc_liaZ7ea0z732U68umTsq1mLlm2Z7OgCa", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"ocr-and-documents\",\"new_string\":\"## Tesseract OCR (for scanned PDFs)\\n\\n```bash\\n# Check available languages\\ntesseract --list-langs\\n\\n# Basic OCR\\ntesseract input.png output -l deu+eng\\n\\n# For mixed text+tables (laboratory reports):\\ntesseract input.png output -l deu+eng --psm 6 --oem 3\\n# PSM=6: Assume a single uniform block of text (BEST for tabular data)\\n# PSM=4: Single column (good for structured forms)\\n# PSM=11: Sparse text (words as separate lines — good for extracting individual values)\\n# PSM=13: Raw line (fastest, lowest accuracy)\\n\\n# For scanned PDFs: first convert to PNG, then OCR\\n# Using PyMuPDF: convert page to image at 300 DPI for best OCR quality\\n```\\n\\n**Pitfall:** Tesseract OCR on tabular PDFs often produces fragmented output. Use PSM=6 for mixed content, PSM=11 when you need individual values as separate tokens. For medical lab reports with obscured values in the PDF itself, OCR may not recover hidden data.\\n\\n**Python environment note:** PyMuPDF (fitz) and pytesseract are installed in `~/.local/lib/python3.12/site-packages`, NOT in the hermes-agent venv. Always set `PYTHONPATH=~/.local/lib/python3.12/site-packages` when running Python scripts that import these packages.\\n\\n## camelot (PDF Table Extraction — Elite)\",\"old_string\":\"## camelot (PDF Table Extraction — Elite)\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'ocr-and-documents' (1 replacement).\"}", "tool_call_id": "liaZ7ea0z732U68umTsq1mLlm2Z7OgCa" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "uMVOyDOZcb7l2AOrRUAL6mk2f2PQM7d8", "call_id": "uMVOyDOZcb7l2AOrRUAL6mk2f2PQM7d8", "response_item_id": "fc_uMVOyDOZcb7l2AOrRUAL6mk2f2PQM7d8", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"cronjob\",\"new_string\":\"## Best Practices\\n\\n1. **Use scripts for complex jobs:** Write a Python script in `~/.hermes/scripts/` and invoke it from the cron prompt.\\n2. **Use interval syntax for regular checks:** `every 2h` is simpler and more reliable than complex cron expressions.\\n3. **Use cron syntax for specific times:** `0 5 * * *` for \\\"daily at 05:00\\\". Multiple times: `0 9,21 * * *` for 09:00 and 21:00.\\n4. **Test with `hermes cron run <job_id>`** before relying on scheduled execution.\\n5. **Monitor with `hermes cron list`** to verify next run times.\\n6. **Cron create requires `schedule` parameter:** When creating jobs, always provide a valid `schedule` field (cron expression like `0 9,21 * * *` or interval like `every 2h`). The `schedule` field is mandatory for `cronjob` create action.\",\"old_string\":\"## Best Practices\\n\\n1. **Use scripts for complex jobs:** Write a Python script in `~/.hermes/scripts/` and invoke it from the cron prompt.\\n2. **Use interval syntax for regular checks:** `every 2h` is simpler and more reliable than complex cron expressions.\\n3. **Use cron syntax for specific times:** `0 5 * * *` for \\\"daily at 05:00\\\".\\n4. **Test with `hermes cron run <job_id>`** before relying on scheduled execution.\\n5. **Monitor with `hermes cron list`** to verify next run times.\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'cronjob' (1 replacement).\"}", "tool_call_id": "uMVOyDOZcb7l2AOrRUAL6mk2f2PQM7d8" }, { "role": "assistant", "content": "Now let me create a reference file for the Tesseract OCR patterns discovered in this session:", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "zedUwhJPxoydpvAR2CSqlllgxkvknN8B", "call_id": "zedUwhJPxoydpvAR2CSqlllgxkvknN8B", "response_item_id": "fc_zedUwhJPxoydpvAR2CSqlllgxkvknN8B", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"write_file\",\"name\":\"ocr-and-documents\",\"file_content\":\"# Tesseract OCR für Laborberichte — Session-Erkenntnisse\\n\\n## Session: 2026-05-10 — Laborbericht OCR\\n\\n### Problem\\nPDF `260507_Labor_Blutwerte_Dermatologie.pdf` ist ein reines Bild-PDF (keine extrahierbaren Text-Elemente). Tabellarische Laborwerte müssen per OCR extrahiert werden.\\n\\n### Befund\\n- **PSM=6** (single uniform block): Beste Ergebnisse für tabellarische Daten, aber Werte werden oft fragmentiert extrahiert\\n- **PSM=11** (sparse text, words as separate lines): Extrahiert jeden Wert als separate Zeile — gut für manuelles Parsing\\n- **PSM=4** (single column): Gut für strukturierte Formulare, aber bei Tabellen oft ungenau\\n- **PSM=13** (raw line): Schnellste, niedrigste Qualität\\n\\n### OCR-Ergebnisse für USZ Laborbericht\\nNur 5 von ~25 Werten waren klar lesbar:\\n- Kreatinin: 97 µmol/l ✓ (Ref: 62-106)\\n- Hämoglobin: 159 g/l ✓ (Ref: 134-170)\\n- Erythrozyten: 5.23 x10^12/l ✓ (Ref: 4.2-5.7)\\n- AST (GOT): un <50 U/l — Unerhøht\\n- ALT (GPT): un <50 U/l — Unerhøht\\n\\n**Restliche Werte obscured** — selbst im PDF-Dokument nicht sichtbar, daher auch nicht per OCR extrahierbar.\\n\\n### Workflow-Empfehlung für Laborberichte\\n1. Prüfe zuerst ob PDF extrahierbaren Text hat: `pdftotext datei.pdf -`\\n2. Wenn leer → reines Bild-PDF → OCR nötig\\n3. Convert to PNG at 300 DPI: PyMuPDF page.to_pixmap() → save as PNG\\n4. OCR mit Tesseract PSM=6 für tabellarische Daten\\n5. Bei PSM=6: Werte fragmentiert → PSM=11 versuchen für separate Token\\n6. Werte manuell aus OCR-Output parsen (Regex für Zahlen + Einheiten)\\n7. Bei obscured Werten: User informieren dass nicht alle Werte lesbar\\n\\n### Python-Pfad für OCR-Pakete\\n```python\\n# fitz, pytesseract liegen in:\\nPYTHONPATH = os.path.expanduser(\\\"~/.local/lib/python3.12/site-packages\\\")\\nenv = {**os.environ, \\\"PYTHONPATH\\\": PYTHONPATH}\\n```\",\"file_path\":\"references/tesseract-lab-report-ocr.md\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"File 'references/tesseract-lab-report-ocr.md' written to skill 'ocr-and-documents'.\", \"path\": \"/home/agent/.hermes/skills/productivity/ocr-and-documents/references/tesseract-lab-report-ocr.md\"}", "tool_call_id": "zedUwhJPxoydpvAR2CSqlllgxkvknN8B" }, { "role": "assistant", "content": "Now update the SKILL.md to reference this new file:", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "MWLpuoHleK8HBDsoqzIKZHoFbNNZNfMt", "call_id": "MWLpuoHleK8HBDsoqzIKZHoFbNNZNfMt", "response_item_id": "fc_MWLpuoHleK8HBDsoqzIKZHoFbNNZNfMt", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"ocr-and-documents\",\"new_string\":\"- For Word docs: `pip install python-docx` (better than OCR — parses actual structure)\\n- For PowerPoint: see the `powerpoint` skill (uses python-pptx)\\n- For PDF tables: `camelot-py[cv]` requires Ghostscript (`apt install ghostscript`)\\n\\n## References\\n\\n- `references/tesseract-lab-report-ocr.md` — Session-specific OCR patterns for medical lab reports (PSM modes, Python env, obscured values)\",\"old_string\":\"- For Word docs: `pip install python-docx` (better than OCR — parses actual structure)\\n- For PowerPoint: see the `powerpoint` skill (uses python-pptx)\\n- For PDF tables: `camelot-py[cv]` requires Ghostscript (`apt install ghostscript`)\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'ocr-and-documents' (1 replacement).\"}", "tool_call_id": "MWLpuoHleK8HBDsoqzIKZHoFbNNZNfMt" }, { "role": "assistant", "content": "Zusammenfassung der Skill-Updates:\n\n1. **gog** — Patch: Neue Sektion \"Drive File Operations\" mit `--parent` Flag für `move`, Download-Pfad `~/.config/gogcli/`, und Pitfalls (kein `--to`/`--id`, manuelles Umbenennen nach Download)\n2. **health-data-management** — Patch: Pitfalls erweitert um `--parent` für move, obscured Werte bei OCR, Python-Pfad für fitz/pytesseract\n3. **ocr-and-documents** — Patch: Neue Sektion \"Tesseract OCR\" mit PSM-Erklärung, Python-Pfad-Hinweis, und Pitfalls. Plus neue Reference-Datei `references/tesseract-lab-report-ocr.md` mit Session-spezifischen OCR-Erkenntnissen\n4. **cronjob** — Patch: Hinweis dass `schedule`-Parameter bei `cronjob create` mandatory ist", "reasoning": null, "finish_reason": "stop" } ] }