{
  "session_id": "20260513_072539_ee1826",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "telegram",
  "session_start": "2026-05-13T07:25:39.948677",
  "last_updated": "2026-05-13T07:26:19.129546",
  "system_prompt": "# Hermes Agent Persona\n\n<!--\nThis file defines the agent's personality and tone.\nThe agent will embody whatever you write here.\nEdit this to customize how Hermes communicates with you.\n\nExamples:\n  - \"You are a warm, playful assistant who uses kaomoji occasionally.\"\n  - \"You are a concise technical expert. No fluff, just facts.\"\n  - \"You speak like a friendly coworker who happens to know everything.\"\n\nThis file is loaded fresh each message -- no restart needed.\nDelete the contents (or this file) to use the default personality.\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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n<tool_persistence>\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n</tool_persistence>\n\n<mandatory_tool_use>\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n</mandatory_tool_use>\n\n<act_dont_ask>\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n</act_dont_ask>\n\n<prerequisite_checks>\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n</prerequisite_checks>\n\n<verification>\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n</verification>\n\n<missing_context>\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n</missing_context>\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [97% — 2,154/2,200 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§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\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 <command>`\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: *Erstellt: 2026-04-26*\n§\nKalender-Zeitzonen: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [55% — 768/1,375 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§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\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<available_skills>\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  health-management:\n    - health-management: Health data management — lab values, symptom tracking, nu...\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  yazio-integration:\n    - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n  yuanbao:\n    - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n</available_skills>\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 \"<deine extrem präzise Anweisung>\"`\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: Wednesday, May 13, 2026 07:25 AM\nModel: gpt-5.5\nProvider: openai-codex\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=<umbrella>` 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 <name>`. 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",
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            "name": {
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              "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."
            }
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      "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"
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      "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\\n**⚠️ Pitfall: faster-whisper must be installed for local STT to work.** The config may show `provider: local` but if `faster-whisper` is not installed in the venv, STT silently fails. Always verify with `pip show faster-whisper` after configuring local STT.\\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: small         # tiny, base, small, medium, large-v3 — use 'small' or higher for German\\n    language: de         # always set explicitly for German — auto-detect is unreliable\\n```\\n\\n### Pitfalls\\n- **faster-whisper must be installed** — config shows `provider: local` but STT silently fails if the package is missing\\n- **Use `small` model minimum for German** — `base` is too weak\\n- **Set `language: de` explicitly** — auto-detect is unreliable\\n- **Swiss German (dialect) is NOT supported** — Whisper transcribes dialect poorly; user should speak Standard German\\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": "call_InyxnSDrFfAdTdGjNhzwesNu"
    },
    {
      "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\\\". 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.\\n- **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.\\n- **Script paths must be relative to `~/.hermes/scripts/`:** Pass just the filename (e.g. `yazio_sync.py`), NOT the full path. The cron system resolves relative to `~/.hermes/scripts/`.\\n\\n## Conditional Execution Pattern\\n\\nFor jobs that should only run when certain conditions are met (e.g., only when data exists):\\n\\n```python\\n# Im Cron-Prompt:\\n1. Prüfe Bedingung (z.B. DB-Einträge für heute)\\n2. Wenn 0 Einträge → silent exit (keine Antwort)\\n3. Wenn Einträge vorhanden → führe Aufgabe aus\\n```\\n\\n**Beispiel:** Täglicher Ernährungsstrategie-Check — prüft ob Ernährungseinträge existieren, erstellt nur bei Vorhandensein einen Bericht.\\n\\n**Vorteil:** Kein Spam wenn User nichts einträgt. Nur relevante Berichte.\\n\\n## OpenClaw vs Hermes Config\\n\\n- **OpenClaw** (`~/.openclaw/`) und **Hermes** (`~/.hermes/`) haben getrennte Configs\\n- `openclaw config get/set` liest/schreibt OpenClaw Config\\n- `hermes config get/set` liest/schreibt Hermes Config\\n- **STT/TTS Config** liegt in `~/.hermes/config.yaml` — verwende `hermes config` oder direkte YAML-Editierung\\n- **Gateway-Neustart:** `openclaw gateway restart` (OpenClaw Gateway)\\n- **Config-Persistenz:** YAML-Editionen via Python können stillschweigend fehlschlagen — immer mit separatem Read-Back verifizieren\\n\\n## Linked Resources\\n\\n- `references/cron-scheduling-patterns.md` — Schedule format examples and use cases from sessions.\\n- `references/morning-briefing-delivery.md` — Pattern for delivering cron-generated briefings to Telegram (token discovery, MarkdownV2 escaping).\\n- `references/morning-briefing-context.md` — JSON collector pattern for grounded daily briefings with Calendar, Todoist, weather, commute, traffic, health context, and news.\\n\", \"path\": \"cronjob/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/cronjob\", \"linked_files\": {\"references\": [\"references/morning-briefing-context.md\", \"references/morning-briefing-delivery.md\", \"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": "call_b5Orf5fAZsC1izWTmNvLBmkf"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Investigating cron job issues**\n\nI need to check the cron job and logs, possibly using OpenClaw. I'll want to look at the cron job list and maybe use the terminal. There might be an issue with the model openrouter/auto. The \"401 user not found\" error could be from OpenAI Codex. The cron response header mentions an LLM job, not a no_agent. It's essential to find a job that's optimized. I'll start by listing everything I have.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Investigating cron job issues**\n\nI need to check the cron job and logs, possibly using OpenClaw. I'll want to look at the cron job list and maybe use the terminal. There might be an issue with the model openrouter/auto. The \"401 user not found\" error could be from OpenAI Codex. The cron response header mentions an LLM job, not a no_agent. It's essential to find a job that's optimized. I'll start by listing everything I have.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
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          "id": "rs_07858a9e2d02f3a4016a040986ba3881919a64ae6814f01090",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Investigating cron job issues**\n\nI need to check the cron job and logs, possibly using OpenClaw. I'll want to look at the cron job list and maybe use the terminal. There might be an issue with the model openrouter/auto. The \"401 user not found\" error could be from OpenAI Codex. The cron response header mentions an LLM job, not a no_agent. It's essential to find a job that's optimized. I'll start by listing everything I have."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_woJY1OEf46yS0t37cIHWgquY",
          "call_id": "call_woJY1OEf46yS0t37cIHWgquY",
          "response_item_id": "fc_07858a9e2d02f3a4016a040989ead08191b1c3421286394057",
          "type": "function",
          "function": {
            "name": "cronjob",
            "arguments": "{\"action\":\"list\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "cronjob",
      "content": "{\n  \"success\": true,\n  \"count\": 8,\n  \"jobs\": [\n    {\n      \"job_id\": \"847bdbc26edf\",\n      \"name\": \"Morgen-Briefing optimiert\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"Du bist JARVIS, loyaler pers\\u00f6nlicher Assistent von M G (Sir). Erstelle jeden Morgen ein kurzes, aber...\",\n      \"model\": \"openrouter/auto\",\n      \"provider\": \"openrouter\",\n      \"base_url\": null,\n      \"schedule\": \"0 5 * * *\",\n      \"repeat\": \"5/3650\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-14T05:00:00+02:00\",\n      \"last_run_at\": \"2026-05-13T05:01:03.699353+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      \"script\": \"morning_briefing.py\"\n    },\n    {\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\": \"5/730\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-12T21:00:00+02:00\",\n      \"last_run_at\": \"2026-05-12T09:01:10.980724+02:00\",\n      \"last_status\": \"error\",\n      \"last_delivery_error\": null,\n      \"enabled\": false,\n      \"state\": \"paused\",\n      \"paused_at\": \"2026-05-12T16:03:34.773180+02:00\",\n      \"paused_reason\": null\n    },\n    {\n      \"job_id\": \"78a4dd51c834\",\n      \"name\": \"T\\u00e4glicher Ern\\u00e4hrungsstrategie-Check\",\n      \"skill\": \"health-management\",\n      \"skills\": [\n        \"health-management\"\n      ],\n      \"prompt_preview\": \"Du bist JARVIS, der Gesundheitsmanager des Users.\\n\\n## Aufgabe\\nErstelle einen Ern\\u00e4hrungsstrategie-Che...\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"0 19 * * *\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-13T19:00:00+02:00\",\n      \"last_run_at\": \"2026-05-12T19:00:40.629613+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\": \"2bf4d0a8bedb\",\n      \"name\": \"Gesundheitsdaten Daily Sync\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"10 23 * * *\",\n      \"repeat\": \"1/365\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-13T23:10:00+02:00\",\n      \"last_run_at\": \"2026-05-12T23:10:44.343567+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      \"script\": \"health_daily_sync.py\",\n      \"no_agent\": true\n    },\n    {\n      \"job_id\": \"e9b6fe32c177\",\n      \"name\": \"Gesundheitsdaten Wochenbericht\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"0 18 * * 0\",\n      \"repeat\": \"104 times\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-17T18:00:00+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      \"script\": \"health_weekly_report.py\",\n      \"no_agent\": true\n    },\n    {\n      \"job_id\": \"bdc03626e17f\",\n      \"name\": \"Apple Health Auto Export t\\u00e4glicher Import\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"45 23 * * *\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-13T23:45:00+02:00\",\n      \"last_run_at\": \"2026-05-12T23:45:52.342595+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      \"script\": \"apple_health_daily_sync.py\",\n      \"no_agent\": true\n    },\n    {\n      \"job_id\": \"b9eb80891aa4\",\n      \"name\": \"YAZIO t\\u00e4glicher Ern\\u00e4hrungsimport\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"15 23 * * *\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-13T23:15:00+02:00\",\n      \"last_run_at\": \"2026-05-12T23:15:48.118684+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      \"script\": \"yazio_sync.py\",\n      \"no_agent\": true\n    },\n    {\n      \"job_id\": \"04918ca83019\",\n      \"name\": \"W\\u00f6chentliches verschl\\u00fcsseltes Health/Hermes Google-Drive-Backup\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"55 23 * * 0\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"origin\",\n      \"next_run_at\": \"2026-05-17T23:55:00+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      \"script\": \"weekly_health_drive_backup.py\",\n      \"no_agent\": true\n    }\n  ]\n}",
      "tool_call_id": "call_woJY1OEf46yS0t37cIHWgquY"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Diagnosing with OpenClaw**\n\nI need to diagnose this issue, and maybe using OpenClaw is the way to go. I can use the terminal to inspect the script or output, as AGENTS suggests using OpenClaw via the terminal. I should run the command `openclaw agent -m \"... precise...\" --agent main`. It seems like I should comply with the project’s guideline to use Terminal for all operations. I'll ask OpenClaw to inspect the cron job configuration, scripts, and logs to pinpoint the 401 source without exposing any secrets.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Diagnosing with OpenClaw**\n\nI need to diagnose this issue, and maybe using OpenClaw is the way to go. I can use the terminal to inspect the script or output, as AGENTS suggests using OpenClaw via the terminal. I should run the command `openclaw agent -m \"... precise...\" --agent main`. It seems like I should comply with the project’s guideline to use Terminal for all operations. I'll ask OpenClaw to inspect the cron job configuration, scripts, and logs to pinpoint the 401 source without exposing any secrets.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
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          "id": "rs_038de970b9f76ba2016a04098cea50819184612edc45966752",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Diagnosing with OpenClaw**\n\nI need to diagnose this issue, and maybe using OpenClaw is the way to go. I can use the terminal to inspect the script or output, as AGENTS suggests using OpenClaw via the terminal. I should run the command `openclaw agent -m \"... precise...\" --agent main`. It seems like I should comply with the project’s guideline to use Terminal for all operations. I'll ask OpenClaw to inspect the cron job configuration, scripts, and logs to pinpoint the 401 source without exposing any secrets."
            }
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        }
      ],
      "tool_calls": [
        {
          "id": "call_EnSl8xgMRIErZFA7Hn0ysehN",
          "call_id": "call_EnSl8xgMRIErZFA7Hn0ysehN",
          "response_item_id": "fc_038de970b9f76ba2016a04099d1b508191829dbdf676f51169",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"openclaw agent -m \\\"Diagnose Hermes cron job failure for job_id 847bdbc26edf named 'Morgen-Briefing optimiert'. Do NOT modify files. Inspect ~/.hermes cron job definition, ~/.hermes/scripts/morning_briefing.py, recent cron/gateway logs, and relevant config/env presence without printing secrets. Determine why RuntimeError 401 {'message':'User not found'} occurred and propose exact minimal fix. Return concise findings with file paths and evidence lines only.\\\" --agent main\",\"timeout\":300}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"[plugins] plugins.allow is empty; discovered non-bundled plugins may auto-load: brave (/home/agent/.openclaw/npm/node_modules/@openclaw/brave-plugin/dist/index.js), lossless-claw (/home/agent/.openclaw/extensions/lossless-claw/dist/index.js). Set plugins.allow to explicit trusted ids.\\nplugin runtime config.loadConfig() is deprecated (runtime-config-load-write); use config.current().\\nSir, Diagnose abgeschlossen — ohne Dateien zu ändern.\\n\\n**Befund**\\n- Cronjob: `/home/agent/.hermes/cron/jobs.json:4-33`\\n  - ID `847bdbc26edf`, Name `Morgen-Briefing optimiert`\\n  - `model: openrouter/auto`, `provider: openrouter`\\n  - `last_status: error`\\n  - `last_error: RuntimeError: Error code: 401 - {'error': {'message': 'User not found.', 'code': 401}}`\\n\\n- Fehlerlog: `/home/agent/.hermes/cron/output/847bdbc26edf/2026-05-13_05-01-03.md:469-473`\\n  - Enthält exakt denselben Fehler: `401 User not found`\\n\\n- Auth-Status: `/home/agent/.hermes/auth.json:50-64`\\n  - Provider `openrouter`\\n  - Quelle: `env:OPENROUTER_API_KEY`\\n  - `last_status: exhausted`\\n  - `last_error_code: 401`\\n  - `last_error_message: User not found.`\\n  - `base_url: https://openrouter.ai/api/v1`\\n\\n- Env-Datei vorhanden: `/home/agent/.hermes/.env:13`\\n  - `OPENROUTER_API_KEY` ist gesetzt, aber der Key/Auth-Zustand ist bei OpenRouter ungültig.\\n\\n**Ursache**\\nDer Morgen-Briefing-Cronjob läuft über OpenRouter, aber der hinterlegte `OPENROUTER_API_KEY` wird von OpenRouter mit `401 User not found` abgelehnt. Also kein Script-Problem, kein Telegram-Problem — schlicht Auth kaputt. Ein digitaler Türsteher mit sehr kurzem Gedächtnis.\\n\\n**Minimaler Fix**\\nEntweder:\\n\\n1. **OpenRouter-Key erneuern** in `/home/agent/.hermes/.env` und Hermes/Gateway danach neu laden/restarten.\\n\\nOder robuster:\\n\\n2. Cronjob `847bdbc26edf` von  \\n   `provider: openrouter`, `model: openrouter/auto`  \\n   auf den funktionierenden Hermes-Provider ändern:\\n   `provider: openai-codex`, `model: gpt-5.5`\\n\\nBeleg dafür: `/home/agent/.hermes/auth.json:68-83` zeigt `openai-codex` mit `last_status: ok`.\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_EnSl8xgMRIErZFA7Hn0ysehN"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering cron job updates**\n\nThe user mentioned that something isn't working and gave an error, so I need to address this if it’s safe. I'm thinking about updating the cron job model to use the openai-codex provider, but there's a challenge with the current one being broken. I should verify this and possibly run the update. If necessary, I'll run the job now to check the functionality. Testing would be good, but I also need to keep the costs in mind.\n**Evaluating auth state reset**\n\nI’m considering whether the exhausted authentication state needs a reset. If the provider is going to change, that might not be necessary, but I'm leaning towards updating the cron job regardless. It feels like making that update could help, even if it seems a bit complex. I need to ensure everything's running smoothly, so I’ll take the right steps to adjust the cron job and hopefully resolve the issue.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering cron job updates**\n\nThe user mentioned that something isn't working and gave an error, so I need to address this if it’s safe. I'm thinking about updating the cron job model to use the openai-codex provider, but there's a challenge with the current one being broken. I should verify this and possibly run the update. If necessary, I'll run the job now to check the functionality. Testing would be good, but I also need to keep the costs in mind.\n**Evaluating auth state reset**\n\nI’m considering whether the exhausted authentication state needs a reset. If the provider is going to change, that might not be necessary, but I'm leaning towards updating the cron job regardless. It feels like making that update could help, even if it seems a bit complex. I need to ensure everything's running smoothly, so I’ll take the right steps to adjust the cron job and hopefully resolve the issue.",
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          "id": "rs_0081d75766f3f26f016a040a7c6b8081918763cf89b473ff9b",
          "summary": [
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              "type": "summary_text",
              "text": "**Considering cron job updates**\n\nThe user mentioned that something isn't working and gave an error, so I need to address this if it’s safe. I'm thinking about updating the cron job model to use the openai-codex provider, but there's a challenge with the current one being broken. I should verify this and possibly run the update. If necessary, I'll run the job now to check the functionality. Testing would be good, but I also need to keep the costs in mind."
            },
            {
              "type": "summary_text",
              "text": "**Evaluating auth state reset**\n\nI’m considering whether the exhausted authentication state needs a reset. If the provider is going to change, that might not be necessary, but I'm leaning towards updating the cron job regardless. It feels like making that update could help, even if it seems a bit complex. I need to ensure everything's running smoothly, so I’ll take the right steps to adjust the cron job and hopefully resolve the issue."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_9ZWDReWlixHMoUHddVBVHWUl",
          "call_id": "call_9ZWDReWlixHMoUHddVBVHWUl",
          "response_item_id": "fc_0081d75766f3f26f016a040a8476ec8191b3b0b78584f28b81",
          "type": "function",
          "function": {
            "name": "cronjob",
            "arguments": "{\"action\":\"update\",\"job_id\":\"847bdbc26edf\",\"model\":{\"provider\":\"openai-codex\",\"model\":\"gpt-5.5\"}}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "cronjob",
      "content": "{\n  \"success\": true,\n  \"job\": {\n    \"job_id\": \"847bdbc26edf\",\n    \"name\": \"Morgen-Briefing optimiert\",\n    \"skill\": null,\n    \"skills\": [],\n    \"prompt_preview\": \"Du bist JARVIS, loyaler pers\\u00f6nlicher Assistent von M G (Sir). Erstelle jeden Morgen ein kurzes, aber...\",\n    \"model\": \"gpt-5.5\",\n    \"provider\": \"openai-codex\",\n    \"base_url\": null,\n    \"schedule\": \"0 5 * * *\",\n    \"repeat\": \"5/3650\",\n    \"deliver\": \"origin\",\n    \"next_run_at\": \"2026-05-14T05:00:00+02:00\",\n    \"last_run_at\": \"2026-05-13T05:01:03.699353+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    \"script\": \"morning_briefing.py\"\n  }\n}",
      "tool_call_id": "call_9ZWDReWlixHMoUHddVBVHWUl"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering verification methods**\n\nI think I need to verify something, maybe I should run a check. It could be useful to set up a cron job for this task. A cron job would automate running that verification process at designated times, saving me from needing to remember to do it manually! It's really a handy tool when I want to ensure everything is running smoothly without constant oversight. Let’s go ahead and set that up!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering verification methods**\n\nI think I need to verify something, maybe I should run a check. It could be useful to set up a cron job for this task. A cron job would automate running that verification process at designated times, saving me from needing to remember to do it manually! It's really a handy tool when I want to ensure everything is running smoothly without constant oversight. Let’s go ahead and set that up!",
      "codex_reasoning_items": [
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          "id": "rs_070430eaddfd3b72016a040a85f2008191a5ec36c4011ae95a",
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              "text": "**Considering verification methods**\n\nI think I need to verify something, maybe I should run a check. It could be useful to set up a cron job for this task. A cron job would automate running that verification process at designated times, saving me from needing to remember to do it manually! It's really a handy tool when I want to ensure everything is running smoothly without constant oversight. Let’s go ahead and set that up!"
            }
          ]
        }
      ],
      "tool_calls": [
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          }
        }
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    },
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      "role": "tool",
      "name": "cronjob",
      "content": "{\n  \"success\": true,\n  \"job\": {\n    \"job_id\": \"847bdbc26edf\",\n    \"name\": \"Morgen-Briefing optimiert\",\n    \"skill\": null,\n    \"skills\": [],\n    \"prompt_preview\": \"Du bist JARVIS, loyaler pers\\u00f6nlicher Assistent von M G (Sir). Erstelle jeden Morgen ein kurzes, aber...\",\n    \"model\": \"gpt-5.5\",\n    \"provider\": \"openai-codex\",\n    \"base_url\": null,\n    \"schedule\": \"0 5 * * *\",\n    \"repeat\": \"5/3650\",\n    \"deliver\": \"origin\",\n    \"next_run_at\": \"2026-05-13T07:22:16.167000+02:00\",\n    \"last_run_at\": \"2026-05-13T05:01:03.699353+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    \"script\": \"morning_briefing.py\"\n  }\n}",
      "tool_call_id": "call_SOpDoVIKMKz1SCbj60WUpSV6"
    },
    {
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      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
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      "reasoning": "**Inspecting file status**\n\nIt seems like there was some progress, but the last status hasn’t changed. I’m wondering if the run failed. I should check the output directory for the latest files. Maybe using `search_files` is the right approach. Should I do this through OpenClaw? I know I can do it directly, but I need to follow the right instructions. It might make sense to use the terminal for this. Let’s figure it out!",
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      "reasoning_content": "**Inspecting file status**\n\nIt seems like there was some progress, but the last status hasn’t changed. I’m wondering if the run failed. I should check the output directory for the latest files. Maybe using `search_files` is the right approach. Should I do this through OpenClaw? I know I can do it directly, but I need to follow the right instructions. It might make sense to use the terminal for this. Let’s figure it out!",
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            "arguments": "{\"command\":\"python3 - <<'PY'\\nfrom pathlib import Path\\np=Path('/home/agent/.hermes/cron/output/847bdbc26edf')\\nfiles=sorted(p.glob('*.md'), key=lambda x:x.stat().st_mtime, reverse=True)[:5]\\nfor f in files:\\n print(f.name, f.stat().st_mtime)\\n txt=f.read_text(errors='replace')\\n print('\\\\n'.join(txt.splitlines()[-8:]))\\n print('---')\\nPY\",\"timeout\":60}"
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    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"2026-05-13_05-01-03.md 1778641263.5307114\\n- Ton: sachlich, präzise, britischer Gentleman, sehr kurzer trockener Sarkasmus erlaubt.\\n- Ziel: strukturierter Start in den Tag, nicht Zeitungsroman.\\n\\n## Error\\n\\n```\\nRuntimeError: Error code: 401 - {'error': {'message': 'User not found.', 'code': 401}}\\n```\\n---\\n2026-05-12_05-06-48.md 1778555208.8742375\\nDas Morgen-Briefing wurde erfolgreich erstellt und per Telegram (Message ID: 1417) an Sir gesendet.\\n\\n**Zusammenfassung:**\\n- ✅ Script `/home/agent/.hermes/scripts/morning_briefing.py` erfolgreich ausgeführt (Exit 0)\\n- ✅ Telegram-Nachricht erfolgreich zugestellt (Chat ID: 1344779884)\\n- 🌤️ Wetter: 6.5°C, Gewitter, 6.3 mm Niederschlag\\n- 📅 2 Termine heute (Homeoffice 13:00, Krav Maga 19:00)\\n- ✅ 3 fällige Aufgaben (Zahnarzt, KSB Berichte, Medgate)\\n---\\n2026-05-11_05-01-04.md 1778468464.4214504\\n🚗 **Verkehr Aargau:** Keine aktuellen Verkehrsmeldungen verfügbar.\\n\\n💡 **Effizienz-Tipp:** 📋 Montag: Beginnen Sie mit der wichtigsten Aufgabe des Tages (Eat The Frog). Planen Sie Ihren Tag am Vormittag, bevor E-Mails und Meetings den Tag bestimmen.\\n\\n🏥 **Gesundheitstipp:** ☔ Regentipp: Nehmen Sie einen Regenschirm mit. Bei Nässe besonders auf rutschige Gehwege achten — Ihr Eliquis erhöht das Verletzungrisiko bei Stürzen.\\n\\n---\\n_Generiert von JARVIS um 05:20 Uhr_\\n---\\n2026-05-10_05-01-18.md 1778382078.6009803\\n_Generiert von JARVIS um 05:20 Uhr_\\n\\nANTWORTE IMMER AUF DEUTSCH mit diesem Format.\\n\\n\\n## Response\\n\\nMorgen-Briefing erfolgreich an Sir per Telegram gesendet.\\n---\\n2026-05-09_05-04-00.md 1778295840.8599725\\n   • Achte auf die Einnahme von Colchucin nach Plan, besonders wenn sich Gelenkbeschleunigungen zeigen könnten.\\n   • Bei Morbus Behçet kann Stress die Schübe begünstigen – nutze den ruhigen Samstag für Entspannung.\\n   • Leichte Bewegung im Freien (auch bei Nebel) unterstützt die Stimmung und den Stoffwechsel.\\n   • Eliquis-Einnahme nicht vergessen – am besten mit einem täglichen Trigger verknüpfen.\\n   → Der Himmel wird sich heute mittag aufklaren – nutze das Tageslicht für eine kurze Spazierfahrt oder einen kurzen Spaziergang!\\n\\n---\\n_Generiert von JARVIS um 05:20 Uhr_\\n---\", \"exit_code\": 0, \"error\": null}",
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      "reasoning": "**Investigating execution issues**\n\nIt seems like no new output is generated, and I’m not sure if a run was skipped due to a repeat. I’m wondering if the cron run action is only set to execute next but somehow missed it. Maybe the scheduler is only running every minute but isn’t producing an output? I should also check if the current process is using the updated settings due to authentication issues. I'll take a look at the logs to get more clarity.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Investigating execution issues**\n\nIt seems like no new output is generated, and I’m not sure if a run was skipped due to a repeat. I’m wondering if the cron run action is only set to execute next but somehow missed it. Maybe the scheduler is only running every minute but isn’t producing an output? I should also check if the current process is using the updated settings due to authentication issues. I'll take a look at the logs to get more clarity.",
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        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABqBArgrHhmpjFtzKumRV4Tb_UfeGvJtIFVTruczdrAA0a1loS5qo2PrMlo_yrx4bjhwTQY1SZuocQlL8jdicg9zFUiVmAQhz755hzP2vNYiIz9O9QsbJDspQ3jBxtfYifpW_Qw2JiqYfU__ceUKGB69dsxq-XQX87RRW8_TktsQQjcJa6i3n_0mXQK9yIGeCg-f8bks6MN32RUNhTKB0VgkbGTEYgbV2vEirAg7p9a0HOKzHRkID_zJc4lD5Hto0Z6mNTXcxCeH7ut2vEmJmBYokbRMMVlrEghD7YBlwPtWAv-GyStSfJmaPgs4fCknhU5db1yK1URMgU6xPxyyWg8WAwvKWOciNeMugvE08DR8aGtTRYRk2gionjRYHu6Zpd8CAzQC1yn4oGsyYywl5c-Zb0Aflu2hvz_3tgirfIifWlHBtbjcqn2wP_QS8KlRQaZqtiFG7DzZiOJcY79yiIJ799LFBRBv4Ofx0NLTh5-IMlGaHJ-tLdjnqm8PfABJAKmszve9JuGwWJ1lATVFmuuYQc55Kl6U8hvwIywusM4ghyDvnc0x0YNmNRDQrXU62weITDI-1EgYquk_6wu_8Wd0iJ6vvAv_7rj4T6ud6sBJ69ZrA8JGj58WOtegf2q1pMZu9LQl7ttFufE4s_G-GUqpp-_ZK2Nd-zfYIxXfbNr-RBEPpisA2Dm8QpSnjWiASCGAbCAr9JiOUrEf9zPn4cvQ5qMwIcvvGXcWPumIqpqq7tEZfrOcDyzQMXaUstXJYl3qP_-W_HwOdjAkGYyVWjE_SPCvAHVvlc5UYWPuP1SL_d3j6o7RA42twj7AXmPLcoTi2Kz5tpbGQ9jPQ7D--3C-Ey5EPROJy__1Stpl9lvDEF0JEB3OmS2iFUGCWDh1-2rlYi-knmLaxK-ZhR7qLapYXo6vBCd9nniWPg7pJlqwar2rZymFM6ym2w4t-crqiM7sb1ujpY3xzUlhgw1IaPq0Y-ZC2P1QrQupP0obzu3W8aRE4LcJyOm9sOMGS3V8C-Nyj9F61TrPxKcqRy2Dq_qG_KUGRJ_AKV633HFeMzQWNTx4AOW_xHgU32BZg_k30QWCV3BfXt8vW31lu_N4jARrH8JVlsMZSQGcD_8YOUiOU-qpJSZHq56hmlChhZbBbw6LceqYuqaZeqkqEqx_1Kt8H-NfjQP9f6ul6VEvM54fXbPDsbtUJzCPuv7XFWvLQsAfUrb2IjBdyRX7FmtUlJhG3ccnw==",
          "id": "rs_0403a1c6a1c0961e016a040adcfd2881918b173798076ea08b",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Investigating execution issues**\n\nIt seems like no new output is generated, and I’m not sure if a run was skipped due to a repeat. I’m wondering if the cron run action is only set to execute next but somehow missed it. Maybe the scheduler is only running every minute but isn’t producing an output? I should also check if the current process is using the updated settings due to authentication issues. I'll take a look at the logs to get more clarity."
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_h50KoyQgcOBHKXjrU2B3h8UQ",
          "call_id": "call_h50KoyQgcOBHKXjrU2B3h8UQ",
          "response_item_id": "fc_0403a1c6a1c0961e016a040ae0a2088191a6485f8914fe24e1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"tail -n 120 ~/.hermes/logs/gateway.log | perl -pe 's/(OPENROUTER_API_KEY=)[^\\\\s]+/$1[REDACTED]/g'\",\"timeout\":60}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages/telegram/ext/_extbot.py\\\", line 370, in _do_post\\n    return await super()._do_post(\\n           ^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages/telegram/_bot.py\\\", line 733, in _do_post\\n    result = await request.post(\\n             ^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages/telegram/request/_baserequest.py\\\", line 198, in post\\n    result = await self._request_wrapper(\\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/home/agent/.hermes/hermes-agent/venv/lib/python3.11/site-packages/telegram/request/_baserequest.py\\\", line 375, in _request_wrapper\\n    raise exception\\ntelegram.error.BadRequest: Failed to send message #1 with the error message \\\"photo_invalid_dimensions\\\"\\n2026-05-12 17:07:50,375 INFO gateway.platforms.base: [Telegram] Sending image: file:///home/agent/.hermes/cache/screenshots/browser_screenshot_9e7d3bcb51604... (alt=)\\n2026-05-12 17:07:50,717 INFO gateway.platforms.telegram: [Telegram] Image dimensions exceed Telegram photo limits, sending as document: /home/agent/.hermes/cache/screenshots/browser_screenshot_9e7d3bcb51604f9eb357e734b8d2eea0.png\\n2026-05-12 17:18:41,625 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (150 chars)\\n2026-05-12 17:18:41,626 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='ok sehr gut. Nun verarbeite bitte alle Laborberichte und Gesundheitsdokumente so'\\n2026-05-12 17:24:41,839 WARNING gateway.platforms.telegram_network: [Telegram] Primary api.telegram.org connection failed (); trying fallback IPs 149.154.166.110\\n2026-05-12 17:24:42,009 WARNING gateway.platforms.telegram_network: [Telegram] Primary api.telegram.org path unreachable; using sticky fallback IP 149.154.166.110\\n2026-05-12 17:35:22,744 INFO [20260512_164149_aa73e9] gateway.run: Session split detected: 20260512_164149_aa73e9 → 20260512_171843_aa96e6 (compression)\\n2026-05-12 17:35:22,774 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=1001.1s api_calls=45 response=6619 chars\\n2026-05-12 17:35:22,812 INFO gateway.platforms.base: [Telegram] Sending response (6619 chars) to 1344779884\\n2026-05-12 17:55:57,109 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (817 chars)\\n2026-05-12 17:55:57,110 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Super. nochmals zum Dashboard: Health Events & symptome sollten wir optimieren. '\\n2026-05-12 18:02:41,673 INFO [20260512_171843_aa96e6] gateway.run: Session split detected: 20260512_171843_aa96e6 → 20260512_175559_103a2e (compression)\\n2026-05-12 18:02:41,721 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=404.6s api_calls=25 response=4006 chars\\n2026-05-12 18:02:41,755 INFO gateway.platforms.base: [Telegram] Sending response (4006 chars) to 1344779884\\n2026-05-12 18:07:40,471 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (333 chars)\\n2026-05-12 18:07:40,473 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Ich habe nun die \\\"Health Auto Export - JSON + CSV\\\"  App auf meinem Iphone und ka'\\n2026-05-12 18:08:27,888 INFO gateway.platforms.telegram: Telegram button resolved 1 approval(s) for session agent:main:telegram:dm:1344779884 (choice=always, user=M)\\n2026-05-12 18:12:44,106 INFO [20260512_175559_103a2e] gateway.run: Session split detected: 20260512_175559_103a2e → 20260512_180742_8f561e (compression)\\n2026-05-12 18:12:44,135 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=303.7s api_calls=14 response=6544 chars\\n2026-05-12 18:12:44,169 INFO gateway.platforms.base: [Telegram] Sending response (6544 chars) to 1344779884\\n2026-05-12 18:20:16,281 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (418 chars)\\n2026-05-12 18:20:16,283 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='er fragt: Root ordner ID (eindeutige bezeichnung für den übergeordneten ordner \\\"'\\n2026-05-12 18:20:52,095 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=35.8s api_calls=2 response=1349 chars\\n2026-05-12 18:20:52,114 INFO gateway.platforms.base: [Telegram] Sending response (1349 chars) to 1344779884\\n2026-05-12 18:25:54,946 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (177 chars)\\n2026-05-12 18:25:54,947 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='ich kann noch folgendes einstellen: Datumsbereich (Tag?), Zeitgruppierung (Minut'\\n2026-05-12 18:26:25,897 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=30.9s api_calls=1 response=2167 chars\\n2026-05-12 18:26:25,919 INFO gateway.platforms.base: [Telegram] Sending response (2167 chars) to 1344779884\\n2026-05-12 18:39:22,560 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (62 chars)\\n2026-05-12 18:39:22,561 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='OK, ist anscheinend hochgeladen. HealthAutoExport-2026-19.json'\\n2026-05-12 18:43:51,543 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=269.0s api_calls=20 response=3634 chars\\n2026-05-12 18:43:51,555 INFO gateway.platforms.base: [Telegram] Sending response (3634 chars) to 1344779884\\n2026-05-12 18:59:56,866 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (229 chars)\\n2026-05-12 18:59:56,867 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='ich habe nun noch die Daten des ganzen jahres (nach Wochen) exportiert: HealthAu'\\n2026-05-12 19:00:10,551 INFO [20260512_180742_8f561e] gateway.run: Session split detected: 20260512_180742_8f561e → 20260512_185959_f677d3 (compression)\\n2026-05-12 19:00:10,585 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=13.7s api_calls=1 response=75 chars\\n2026-05-12 19:00:10,610 INFO gateway.platforms.base: [Telegram] Sending response (75 chars) to 1344779884\\n2026-05-12 20:02:11,240 INFO gateway.run: Agent cache idle-TTL evict: session=agent:main:telegram:dm:1344779884 (idle=3722s)\\n2026-05-12 20:02:11,265 INFO gateway.run: Agent cache idle sweep: evicted 1 agent(s)\\n2026-05-12 20:16:40,670 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (476 chars)\\n2026-05-12 20:16:40,671 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='ich habe nun noch die Daten des ganzen jahres (nach Wochen) exportiert: HealthAu'\\n2026-05-12 20:27:38,598 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=657.9s api_calls=32 response=4240 chars\\n2026-05-12 20:27:38,619 INFO gateway.platforms.base: [Telegram] Sending response (4240 chars) to 1344779884\\n2026-05-12 20:40:57,639 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (495 chars)\\n2026-05-12 20:40:57,640 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Passe den PDF bericht an; dieser soll im querformat generiert werden (der text i'\\n2026-05-12 20:48:02,294 INFO [20260512_185959_f677d3] gateway.run: Session split detected: 20260512_185959_f677d3 → 20260512_204059_82b4dd (compression)\\n2026-05-12 20:48:02,320 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=424.7s api_calls=16 response=3379 chars\\n2026-05-12 20:48:02,338 INFO gateway.platforms.base: [Telegram] Sending response (3379 chars) to 1344779884\\n2026-05-12 20:58:51,362 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (645 chars)\\n2026-05-12 20:58:51,362 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Stelle sicher das die gesundheitswerte nicht doppelt gerechnet werden (siehe z.b'\\n2026-05-12 21:08:23,259 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=571.9s api_calls=43 response=3885 chars\\n2026-05-12 21:08:23,287 INFO gateway.platforms.base: [Telegram] Sending response (3885 chars) to 1344779884\\n2026-05-12 21:13:19,584 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (171 chars)\\n2026-05-12 21:13:19,584 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Perfekt. Hast du dir das alles gemerkt und soweit automatisiert dass dies alles '\\n2026-05-12 21:14:08,505 INFO [20260512_204059_82b4dd] gateway.run: Session split detected: 20260512_204059_82b4dd → 20260512_211321_e5ea70 (compression)\\n2026-05-12 21:14:08,535 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=49.0s api_calls=3 response=3543 chars\\n2026-05-12 21:14:08,553 INFO gateway.platforms.base: [Telegram] Sending response (3543 chars) to 1344779884\\n2026-05-12 21:18:24,332 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (195 chars)\\n2026-05-12 21:18:24,333 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Die Auslesung der Gegessenen Lebensmittel über die YAZIO API ist ebenfalls imple'\\n2026-05-12 21:22:21,814 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=237.5s api_calls=15 response=2285 chars\\n2026-05-12 21:22:21,836 INFO gateway.platforms.base: [Telegram] Sending response (2285 chars) to 1344779884\\n2026-05-12 22:09:25,835 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (362 chars)\\n2026-05-12 22:09:25,837 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Sollen wir die Gesundheitsdatenbank (ohne PDFs) auf GIT sichern, sodass uns hier'\\n2026-05-12 22:10:53,596 INFO gateway.platforms.telegram: Telegram button resolved 1 approval(s) for session agent:main:telegram:dm:1344779884 (choice=once, user=M)\\n2026-05-12 22:12:35,283 INFO gateway.platforms.telegram: Telegram button resolved 1 approval(s) for session agent:main:telegram:dm:1344779884 (choice=deny, user=M)\\n2026-05-12 22:12:40,614 INFO gateway.run: Invalidated run generation for agent:main:telegram:dm:1344779884 → 19 (stop_command)\\n2026-05-12 22:12:40,615 INFO gateway.run: STOP for session agent:main:telegram:dm:1344779884 — agent interrupted, session lock released\\n2026-05-12 22:12:40,618 INFO gateway.platforms.base: [Telegram] Sending command '/stop' response (41 chars) to 1344779884\\n2026-05-12 22:19:22,613 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (112 chars)\\n2026-05-12 22:19:22,615 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Korrektur: nimm dieses repository: https://github.com/Gamexgit/HealthManager  Wi'\\n2026-05-12 22:19:54,668 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=32.1s api_calls=2 response=3026 chars\\n2026-05-12 22:19:54,679 INFO gateway.platforms.base: [Telegram] Sending response (3026 chars) to 1344779884\\n2026-05-12 22:23:04,495 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (66 chars)\\n2026-05-12 22:23:04,495 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Wieso ist win deploy key sicherer? Kann damit niemand daten lesen?'\\n2026-05-12 22:23:23,697 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=19.2s api_calls=1 response=3708 chars\\n2026-05-12 22:23:23,718 INFO gateway.platforms.base: [Telegram] Sending response (3708 chars) to 1344779884\\n2026-05-12 22:25:35,752 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (43 chars)\\n2026-05-12 22:25:35,754 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Sollen wir besser auf google drive sichern?'\\n2026-05-12 22:25:56,811 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=21.1s api_calls=1 response=3068 chars\\n2026-05-12 22:25:56,832 INFO gateway.platforms.base: [Telegram] Sending response (3068 chars) to 1344779884\\n2026-05-12 22:39:29,352 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (343 chars)\\n2026-05-12 22:39:29,354 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Ok. Den link zum repository und der github token (finegraind token) habe ich auf'\\n2026-05-12 22:44:01,395 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=272.0s api_calls=23 response=5702 chars\\n2026-05-12 22:44:01,439 INFO gateway.platforms.base: [Telegram] Sending response (5702 chars) to 1344779884\\n2026-05-12 22:59:11,554 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (150 chars)\\n2026-05-12 22:59:11,556 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Ich habe gerade eine Kleine aphte entdeckt. Rechts unter meiner Zunge. Du musst '\\n2026-05-12 22:59:38,361 INFO [20260512_211321_e5ea70] gateway.run: Session split detected: 20260512_211321_e5ea70 → 20260512_225913_acf137 (compression)\\n2026-05-12 22:59:38,405 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=26.8s api_calls=4 response=74 chars\\n2026-05-12 22:59:38,423 INFO gateway.platforms.base: [Telegram] Sending response (74 chars) to 1344779884\\n2026-05-12 23:22:09,659 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (67 chars)\\n2026-05-12 23:22:09,661 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Sichere nun code und skripte auf github im HealthManager Repository'\\n2026-05-12 23:23:56,715 INFO gateway.platforms.telegram: Telegram button resolved 1 approval(s) for session agent:main:telegram:dm:1344779884 (choice=always, user=M)\\n2026-05-12 23:29:54,704 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=465.0s api_calls=54 response=1478 chars\\n2026-05-12 23:29:54,731 INFO gateway.platforms.base: [Telegram] Sending response (1478 chars) to 1344779884\\n2026-05-12 23:31:19,446 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (540 chars)\\n2026-05-12 23:31:19,447 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Super, danke! Optimiere nun das Morning-Briefing (bereits erstellter Cron-job). '\\n2026-05-12 23:45:52,399 INFO [20260512_225913_acf137] gateway.run: Session split detected: 20260512_225913_acf137 → 20260512_233121_cecf71 (compression)\\n2026-05-12 23:45:52,424 INFO gateway.run: response ready: platform=telegram chat=1344779884 time=873.0s api_calls=22 response=2120 chars\\n2026-05-12 23:45:52,460 INFO gateway.platforms.base: [Telegram] Sending response (2120 chars) to 1344779884\\n2026-05-13 00:47:38,042 INFO gateway.run: Agent cache idle-TTL evict: session=agent:main:telegram:dm:1344779884 (idle=3707s)\\n2026-05-13 00:47:38,045 INFO gateway.run: Agent cache idle sweep: evicted 1 agent(s)\\n2026-05-13 04:02:59,904 INFO gateway.run: Session expiry: 1 sessions to finalize (telegram:1)\\n2026-05-13 04:02:59,925 INFO gateway.run: Session expiry done: 1 finalized\\n2026-05-13 07:14:53,897 INFO gateway.platforms.telegram: Telegram button resolved 0 approval(s) for session agent:main:telegram:dm:1344779884 (choice=always, user=M)\\n2026-05-13 07:14:56,252 INFO gateway.platforms.telegram: Telegram button resolved 0 approval(s) for session agent:main:telegram:dm:1344779884 (choice=always, user=M)\\n2026-05-13 07:17:51,641 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:1344779884 (385 chars)\\n2026-05-13 07:17:51,645 INFO gateway.run: inbound message: platform=telegram user=M G chat=1344779884 msg='Das Morgen-Briefing hat nicht funktioniert. Hier die Fehlermeldung: Cronjob Resp'\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_h50KoyQgcOBHKXjrU2B3h8UQ"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Exploring cron log management**\n\nI’m thinking about whether I really need cron logs. Maybe I should look into having a separate log for the cron scheduler itself. It seems like it could help keep things organized. I'll search for options and best practices around cron logging to ensure I make the right decision. This search should clarify if I can manage things better and enhance my system’s performance without unnecessary clutter.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Exploring cron log management**\n\nI’m thinking about whether I really need cron logs. Maybe I should look into having a separate log for the cron scheduler itself. It seems like it could help keep things organized. I'll search for options and best practices around cron logging to ensure I make the right decision. This search should clarify if I can manage things better and enhance my system’s performance without unnecessary clutter.",
      "codex_reasoning_items": [
        {
          "type": "reasoning",
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          "id": "rs_0716f78a4797e3ad016a040ae3e9ac8191892fadea5711fbc4",
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              "text": "**Exploring cron log management**\n\nI’m thinking about whether I really need cron logs. Maybe I should look into having a separate log for the cron scheduler itself. It seems like it could help keep things organized. I'll search for options and best practices around cron logging to ensure I make the right decision. This search should clarify if I can manage things better and enhance my system’s performance without unnecessary clutter."
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        }
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      "role": "tool",
      "name": "search_files",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_RUQuQaIQeUkGfAmba6RKz0sj"
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      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"usage: hermes cron run [-h] [--accept-hooks] job_id\\n\\npositional arguments:\\n  job_id          Job ID to trigger\\n\\noptions:\\n  -h, --help      show this help message and exit\\n  --accept-hooks  Auto-approve unseen shell hooks without a TTY prompt\\n                  (equivalent to HERMES_ACCEPT_HOOKS=1 / hooks_auto_accept:\\n                  true).\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_YktkB8ptePOSKeIPL39Qb0eI"
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      "content": "",
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          "id": "rs_00a164bd62252379016a040aed61048191a99c1f95a990805a",
          "summary": []
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          "call_id": "call_3dxohBC5rkAVd8yz10OcwI4I",
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          "type": "function",
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            "name": "terminal",
            "arguments": "{\"command\":\"hermes cron run 847bdbc26edf --accept-hooks\",\"timeout\":300}"
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      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"Triggered job: Morgen-Briefing optimiert (847bdbc26edf)\\n  Next run: 2026-05-13T07:24:01.323044+02:00\\n  It will run on the next scheduler tick.\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_3dxohBC5rkAVd8yz10OcwI4I"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Considering cron processing issues**\n\nI need to wait and think about whether the gateway cron isn’t processing because it hasn't restarted. It did process earlier, so maybe it's locked up or something’s preventing it from running smoothly. I’m just trying to troubleshoot this without jumping to conclusions. It's a little frustrating, but okay, I’ll give it some time and see if anything changes. Hm, I hope it resolves itself soon!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering cron processing issues**\n\nI need to wait and think about whether the gateway cron isn’t processing because it hasn't restarted. It did process earlier, so maybe it's locked up or something’s preventing it from running smoothly. I’m just trying to troubleshoot this without jumping to conclusions. It's a little frustrating, but okay, I’ll give it some time and see if anything changes. Hm, I hope it resolves itself soon!",
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          "id": "rs_0a308f3b3ba1e775016a040af2a42c8191ac9617cd3a390653",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Considering cron processing issues**\n\nI need to wait and think about whether the gateway cron isn’t processing because it hasn't restarted. It did process earlier, so maybe it's locked up or something’s preventing it from running smoothly. I’m just trying to troubleshoot this without jumping to conclusions. It's a little frustrating, but okay, I’ll give it some time and see if anything changes. Hm, I hope it resolves itself soon!"
            }
          ]
        }
      ],
      "tool_calls": [
        {
          "id": "call_sQZe9XpXLcAKjNEfcNNS8sJ4",
          "call_id": "call_sQZe9XpXLcAKjNEfcNNS8sJ4",
          "response_item_id": "fc_0a308f3b3ba1e775016a040af454648191a4d13dd810a4ae2c",
          "type": "function",
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            "name": "terminal",
            "arguments": "{\"command\":\"sleep 75 && date --iso-8601=seconds && hermes cron list | sed -n '1,18p' && python3 - <<'PY'\\nfrom pathlib import Path\\np=Path('/home/agent/.hermes/cron/output/847bdbc26edf')\\nfiles=sorted(p.glob('*.md'), key=lambda x:x.stat().st_mtime, reverse=True)[:2]\\nprint('latest files:')\\nfor f in files:\\n print(f.name)\\nPY\",\"timeout\":120}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "name": "terminal",
      "content": "{\"output\": \"2026-05-13T07:25:20+02:00\\n\\n┌─────────────────────────────────────────────────────────────────────────┐\\n│                         Scheduled Jobs                                  │\\n└─────────────────────────────────────────────────────────────────────────┘\\n\\n  847bdbc26edf [active]\\n    Name:      Morgen-Briefing optimiert\\n    Schedule:  0 5 * * *\\n    Repeat:    6/3650\\n    Next run:  2026-05-14T05:00:00+02:00\\n    Deliver:   origin\\n    Script:    morning_briefing.py\\n    Last run:  2026-05-13T07:24:22.563523+02:00  ok\\n\\n  78a4dd51c834 [active]\\n    Name:      Täglicher Ernährungsstrategie-Check\\n    Schedule:  0 19 * * *\\n    Repeat:    ∞\\nlatest files:\\n2026-05-13_07-24-22.md\\n2026-05-13_05-01-03.md\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_sQZe9XpXLcAKjNEfcNNS8sJ4"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": "**Checking delivery and updates**\n\nI need to confirm if the message was delivered successfully. Maybe I should also mention that another cron health has a 429 status, though it might not be strictly relevant. Additionally, the OpenRouter API key appears to be broken, and jobs have switched. I wonder if I should update my memory regarding the OpenRouter key being invalid since it seems stable until renewed. Should I save this information, even if the token is tight but still useful?",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Checking delivery and updates**\n\nI need to confirm if the message was delivered successfully. Maybe I should also mention that another cron health has a 429 status, though it might not be strictly relevant. Additionally, the OpenRouter API key appears to be broken, and jobs have switched. I wonder if I should update my memory regarding the OpenRouter key being invalid since it seems stable until renewed. Should I save this information, even if the token is tight but still useful?",
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          "id": "rs_0fe5954d94a4bace016a040b427c908191a36d8521c9cbafc2",
          "summary": [
            {
              "type": "summary_text",
              "text": "**Checking delivery and updates**\n\nI need to confirm if the message was delivered successfully. Maybe I should also mention that another cron health has a 429 status, though it might not be strictly relevant. Additionally, the OpenRouter API key appears to be broken, and jobs have switched. I wonder if I should update my memory regarding the OpenRouter key being invalid since it seems stable until renewed. Should I save this information, even if the token is tight but still useful?"
            }
          ]
        }
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          "call_id": "call_KS920qfqcFiCQGihdIKz2NJv",
          "response_item_id": "fc_0fe5954d94a4bace016a040b4592148191956087bbc6c6b8dc",
          "type": "function",
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            "name": "memory",
            "arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"OpenRouter auth in ~/.hermes/.env is currently invalid/exhausted: OPENROUTER_API_KEY returns 401 'User not found'. Morning briefing cron 847bdbc26edf was switched to provider openai-codex model gpt-5.5 on 2026-05-13.\"}"
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    },
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      "name": "memory",
      "content": "{\"success\": false, \"error\": \"Blocked: content matches threat pattern 'hermes_env'. Memory entries are injected into the system prompt and must not contain injection or exfiltration payloads.\"}",
      "tool_call_id": "call_KS920qfqcFiCQGihdIKz2NJv"
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            "name": "memory",
            "arguments": "{\"action\":\"add\",\"content\":\"OpenRouter auth is currently invalid/exhausted: provider returns 401 'User not found'. Morning briefing cron 847bdbc26edf was switched to provider openai-codex model gpt-5.5 on 2026-05-13.\",\"target\":\"memory\"}"
          }
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    {
      "role": "tool",
      "name": "memory",
      "content": "{\"success\": false, \"error\": \"Memory at 2,154/2,200 chars. Adding this entry (188 chars) would exceed the limit. Replace or remove existing entries first.\", \"current_entries\": [\"*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\", \"---\", \"Über mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\", \"Über mich: **Sprache:** Deutsch mit englischen Fachbegriffen\", \"TTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\", \"Modellwahl: Für schwierigere Aufgaben: openrouter/auto\", \"Modellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\", \"OpenClaw (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.\", \"Health backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\", \"Über den User: **Beziehung:** Loyaler Partner\", \"Kommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\", \"Kommunikationspräferenzen: **Textnachricht → Antwort per Text**\", \"API-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\", \"Google Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\", \"Google Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\", \"Google Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\", \"Google Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\", \"Google Workspace (gog): **Client:** default\", \"Google Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com <command>`\", \"Kalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\", \"Kalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\", \"Kalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\", \"Kalender-Zeitzonen: *Erstellt: 2026-04-26*\", \"Kalender-Zeitzonen: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\"], \"usage\": \"2,154/2,200\"}",
      "tool_call_id": "call_hjDp04Wpp3X7mWGq6OyhscFm"
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      "reasoning": "**Considering tool adjustments**\n\nI need to think about replacing “Modellwahl” with something like OpenRouter/auto when the task is more complex, like OpenAI Codex, since the previous option seems invalid. It feels like a necessary adjustment to ensure I’m using the right tools for the job. I'll definitely focus on using the tools correctly for improved performance!",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Considering tool adjustments**\n\nI need to think about replacing “Modellwahl” with something like OpenRouter/auto when the task is more complex, like OpenAI Codex, since the previous option seems invalid. It feels like a necessary adjustment to ensure I’m using the right tools for the job. I'll definitely focus on using the tools correctly for improved performance!",
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          "function": {
            "name": "memory",
            "arguments": "{\"action\":\"replace\",\"old_text\":\"Modellwahl: Für schwierigere Aufgaben: openrouter/auto\",\"content\":\"Modellwahl: OpenRouter ist aktuell ungültig (401 'User not found'); schwierige/cron Aufgaben nutzen openai-codex gpt-5.5.\",\"target\":\"memory\"}"
          }
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    },
    {
      "role": "tool",
      "name": "memory",
      "content": "{\"success\": false, \"error\": \"Replacement would put memory at 2,221/2,200 chars. Shorten the new content or remove other entries first.\"}\n\n[Tool loop warning: same_tool_failure_warning; count=3; memory has failed 3 times this turn. This looks like a loop; change approach before retrying.]",
      "tool_call_id": "call_5uEoOwR7lmS5Au08tEpBlwFs"
    },
    {
      "role": "assistant",
      "content": "Erledigt, Sir.\n\n**Ursache:**  \nDer Morgen-Briefing-Cronjob selbst war nicht kaputt. Das Script lief grundsätzlich. Der Fehler kam vom Modell-Provider:\n\n- Job `847bdbc26edf`\n- bisher: `provider: openrouter`, `model: openrouter/auto`\n- OpenRouter antwortete mit: `401 User not found`\n- Auth-Status zeigte OpenRouter als `exhausted/invalid`\n\nKurz: Der OpenRouter-Key ist beleidigt aus dem Herrenclub marschiert.\n\n**Fix durchgeführt:**  \nIch habe den Cronjob umgestellt auf den funktionierenden Provider:\n\n- neu: `provider: openai-codex`\n- neu: `model: gpt-5.5`\n\n**Verifikation:**  \nIch habe den Job manuell getriggert. Ergebnis:\n\n- `Last run: 2026-05-13T07:24:22+02:00`\n- Status: `ok`\n- nächster regulärer Lauf: `2026-05-14T05:00:00+02:00`\n\nDas Morgen-Briefing sollte morgen früh also wieder normal laufen.\n\nHinweis: Wenn du OpenRouter weiterhin nutzen willst, müssten wir später den OpenRouter-API-Key erneuern. Für das Briefing ist das aber jetzt nicht mehr blockierend.",
      "reasoning": null,
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          "content": [
            {
              "type": "output_text",
              "text": "Erledigt, Sir.\n\n**Ursache:**  \nDer Morgen-Briefing-Cronjob selbst war nicht kaputt. Das Script lief grundsätzlich. Der Fehler kam vom Modell-Provider:\n\n- Job `847bdbc26edf`\n- bisher: `provider: openrouter`, `model: openrouter/auto`\n- OpenRouter antwortete mit: `401 User not found`\n- Auth-Status zeigte OpenRouter als `exhausted/invalid`\n\nKurz: Der OpenRouter-Key ist beleidigt aus dem Herrenclub marschiert.\n\n**Fix durchgeführt:**  \nIch habe den Cronjob umgestellt auf den funktionierenden Provider:\n\n- neu: `provider: openai-codex`\n- neu: `model: gpt-5.5`\n\n**Verifikation:**  \nIch habe den Job manuell getriggert. Ergebnis:\n\n- `Last run: 2026-05-13T07:24:22+02:00`\n- Status: `ok`\n- nächster regulärer Lauf: `2026-05-14T05:00:00+02:00`\n\nDas Morgen-Briefing sollte morgen früh also wieder normal laufen.\n\nHinweis: Wenn du OpenRouter weiterhin nutzen willst, müssten wir später den OpenRouter-API-Key erneuern. Für das Briefing ist das aber jetzt nicht mehr blockierend."
            }
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          "id": "msg_021b6fa0f4772a37016a040b4ebc0c81918fdcdd6bac442428",
          "phase": "final_answer"
        }
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    },
    {
      "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/<topic>.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/<name>.<ext>` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n     • `scripts/<name>.<ext>` — 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."
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      "reasoning": "**Updating skills for troubleshooting**\n\nI need to update my skills regarding the cronjob/hermes. It seems I have to patch the cronjob, likely to address the Troubleshooting OpenRouter 401 issue and run a verification process. I'm considering whether I need a support reference. Maybe using skill_view could help, but I’m unsure if it's current enough. It looks like a patch is definitely needed, but I’ll need to clarify some things first.",
      "finish_reason": "tool_calls",
      "reasoning_content": "**Updating skills for troubleshooting**\n\nI need to update my skills regarding the cronjob/hermes. It seems I have to patch the cronjob, likely to address the Troubleshooting OpenRouter 401 issue and run a verification process. I'm considering whether I need a support reference. Maybe using skill_view could help, but I’m unsure if it's current enough. It looks like a patch is definitely needed, but I’ll need to clarify some things first.",
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              "text": "**Updating skills for troubleshooting**\n\nI need to update my skills regarding the cronjob/hermes. It seems I have to patch the cronjob, likely to address the Troubleshooting OpenRouter 401 issue and run a verification process. I'm considering whether I need a support reference. Maybe using skill_view could help, but I’m unsure if it's current enough. It looks like a patch is definitely needed, but I’ll need to clarify some things first."
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            "arguments": "{\"action\":\"patch\",\"name\":\"cronjob\",\"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\\\". 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.\\n- **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.\\n- **Script paths must be relative to `~/.hermes/scripts/`:** Pass just the filename (e.g. `yazio_sync.py`), NOT the full path. The cron system resolves relative to `~/.hermes/scripts/`.\",\"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.\\n- **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.\\n- **Script paths must be relative to `~/.hermes/scripts/`:** Pass just the filename (e.g. `yazio_sync.py`), NOT the full path. The cron system resolves relative to `~/.hermes/scripts/`.\\n- **Provider/auth failures are often job-level, not script-level:** If a script-backed job fails with an LLM `RuntimeError` such as `401 User not found`, inspect the job's `provider`/`model`, `~/.hermes/auth.json` status, and the latest `~/.hermes/cron/output/<job_id>/*.md` before debugging the script. A minimal fix can be to switch that job to a known-good provider/model, then trigger it and verify `Last run ... ok`.\"}"
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      "tool_calls": [
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          "call_id": "call_qahKDTxvPKhh64P3LmVrBhug",
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          "function": {
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            "arguments": "{\"action\":\"write_file\",\"name\":\"cronjob\",\"file_path\":\"references/provider-auth-troubleshooting.md\",\"file_content\":\"# Cron provider/auth troubleshooting\\n\\nUse this when a Hermes cron job fails with an LLM/provider RuntimeError while any script phase appears otherwise healthy.\\n\\n## Pattern observed\\n\\n- Script-backed morning briefing job failed with:\\n  - `RuntimeError: Error code: 401 - {'error': {'message': 'User not found.', 'code': 401}}`\\n- Job definition showed:\\n  - `provider: openrouter`\\n  - `model: openrouter/auto`\\n- `~/.hermes/auth.json` showed OpenRouter credential status as exhausted/invalid with the same `401 User not found` error.\\n- Prior output files showed the script had succeeded on earlier days, so the failure was not inherently a script or Telegram delivery problem.\\n\\n## Diagnosis workflow\\n\\n1. List jobs and identify the failing job:\\n   ```bash\\n   hermes cron list\\n   ```\\n2. Inspect the job definition and latest output:\\n   ```bash\\n   python3 - <<'PY'\\n   from pathlib import Path\\n   job='JOB_ID'\\n   p=Path.home()/'.hermes/cron/output'/job\\n   for f in sorted(p.glob('*.md'), key=lambda x:x.stat().st_mtime, reverse=True)[:3]:\\n       print('\\\\n==', f, '==')\\n       print('\\\\n'.join(f.read_text(errors='replace').splitlines()[-40:]))\\n   PY\\n   ```\\n3. Inspect provider status without printing secrets:\\n   ```bash\\n   python3 - <<'PY'\\n   import json\\n   from pathlib import Path\\n   p=Path.home()/'.hermes/auth.json'\\n   data=json.loads(p.read_text())\\n   for provider, value in data.items():\\n       print(provider, {k:v for k,v in value.items() if 'key' not in k.lower() and 'token' not in k.lower()})\\n   PY\\n   ```\\n4. If the provider is invalid/exhausted, update only the affected job to a known-good provider/model, rather than rewriting the script.\\n\\n## Minimal remediation example\\n\\n```bash\\nhermes cron edit JOB_ID\\n# or use the cronjob tool update action if available:\\n# provider: openai-codex\\n# model: gpt-5.5\\n```\\n\\nThen trigger and verify:\\n\\n```bash\\nhermes cron run JOB_ID --accept-hooks\\nsleep 75\\nhermes cron list\\n```\\n\\nSuccess criterion: the job shows a fresh `Last run: ... ok` and the next scheduled run is back to the normal schedule.\\n\\n## Pitfalls\\n\\n- `hermes cron run JOB_ID` schedules execution on the next scheduler tick; it does not necessarily run synchronously before the command returns.\\n- Check `hermes cron status` if the next-run timestamp is already in the past; the gateway scheduler must be running.\\n- Do not paste `.env` or credential values into chat/logs. Report only provider name, status, and error code/message.\\n\"}"
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      ]
    },
    {
      "role": "tool",
      "name": "skill_manage",
      "content": "{\"success\": true, \"message\": \"File 'references/provider-auth-troubleshooting.md' written to skill 'cronjob'.\", \"path\": \"/home/agent/.hermes/skills/cronjob/references/provider-auth-troubleshooting.md\"}",
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          "call_id": "call_F8VlMSSeC1dHyv8sSIwox13P",
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            "name": "skill_manage",
            "arguments": "{\"action\":\"patch\",\"name\":\"cronjob\",\"old_string\":\"## Linked Resources\\n\\n- `references/cron-scheduling-patterns.md` — Schedule format examples and use cases from sessions.\\n- `references/morning-briefing-delivery.md` — Pattern for delivering cron-generated briefings to Telegram (token discovery, MarkdownV2 escaping).\\n- `references/morning-briefing-context.md` — JSON collector pattern for grounded daily briefings with Calendar, Todoist, weather, commute, traffic, health context, and news.\\n\",\"new_string\":\"## Linked Resources\\n\\n- `references/cron-scheduling-patterns.md` — Schedule format examples and use cases from sessions.\\n- `references/morning-briefing-delivery.md` — Pattern for delivering cron-generated briefings to Telegram (token discovery, MarkdownV2 escaping).\\n- `references/morning-briefing-context.md` — JSON collector pattern for grounded daily briefings with Calendar, Todoist, weather, commute, traffic, health context, and news.\\n- `references/provider-auth-troubleshooting.md` — Workflow for diagnosing cron failures caused by provider/auth errors such as OpenRouter `401 User not found`.\\n\"}"
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    {
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      "name": "skill_manage",
      "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'cronjob' (1 replacement).\"}",
      "tool_call_id": "call_F8VlMSSeC1dHyv8sSIwox13P"
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    {
      "role": "assistant",
      "content": "Updated the skill library.\n\n**Patched skill:** `cronjob`\n\nChanges made:\n- Added a Best Practices note: provider/auth errors in cron jobs may be job-level, not script-level.\n- Added troubleshooting guidance for errors like OpenRouter `401 User not found`.\n- Added new reference file:\n  - `references/provider-auth-troubleshooting.md`\n- Linked that reference from `cronjob/SKILL.md`.\n\nCaptured reusable lesson:\n- For script-backed cron jobs, first inspect job `provider/model`, `auth.json` provider status, and latest cron output before debugging the script.\n- After switching provider/model, trigger the job and verify a fresh `Last run ... ok`.\n\nNo new narrow one-off skill created; the learning fits the existing class-level `cronjob` umbrella.",
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              "text": "Updated the skill library.\n\n**Patched skill:** `cronjob`\n\nChanges made:\n- Added a Best Practices note: provider/auth errors in cron jobs may be job-level, not script-level.\n- Added troubleshooting guidance for errors like OpenRouter `401 User not found`.\n- Added new reference file:\n  - `references/provider-auth-troubleshooting.md`\n- Linked that reference from `cronjob/SKILL.md`.\n\nCaptured reusable lesson:\n- For script-backed cron jobs, first inspect job `provider/model`, `auth.json` provider status, and latest cron output before debugging the script.\n- After switching provider/model, trigger the job and verify a fresh `Last run ... ok`.\n\nNo new narrow one-off skill created; the learning fits the existing class-level `cronjob` umbrella."
            }
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          "id": "msg_021b6fa0f4772a37016a040b78092081919c87d6d250553c13",
          "phase": "final_answer"
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}