{ "session_id": "20260514_123455_676488c1", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "telegram", "session_start": "2026-05-14T12:34:55.353763", "last_updated": "2026-05-14T13:23:52.911881", "system_prompt": "# Hermes Agent Persona\n\n\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# 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\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\n\n\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\n\n\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\n\n\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\n\n\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\n\n\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\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\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 jarvis-routing-policy:\n - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\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 - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\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 - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\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\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-23-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\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.\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. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [98% — 2,166/2,200 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§\nModelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\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§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nKalender-Zeitzonen: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics: 6=Inbox; 16=Automationen/Cronjobs (briefings/reviews/reports/checks/reminders/auto-outputs); 17=Research/AI/tools. Treat as separate sessions; reply only in active/requested topic. Cron prompts include goal/sources/format/frequency/target/escalation.\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\nConversation started: Thursday, May 14, 2026 12:34 PM\nModel: gpt-5.5\nProvider: openai-codex", "tools": [ { "type": "function", "function": { "name": "browser_back", "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_click", "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e5', '@e12')" } }, "required": [ "ref" ] } } }, { "type": "function", "function": { "name": "browser_console", "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.", "parameters": { "type": "object", "properties": { "clear": { "type": "boolean", "default": false, "description": "If true, clear the message buffers after reading" }, "expression": { "type": "string", "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'" } } } } }, { "type": "function", "function": { "name": "browser_get_images", "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_navigate", "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.", "parameters": { "type": "object", "properties": { "url": { "type": "string", "description": "The URL to navigate to (e.g., 'https://example.com')" } }, "required": [ "url" ] } } }, { "type": "function", "function": { "name": "browser_press", "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "key": { "type": "string", "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')" } }, "required": [ "key" ] } } }, { "type": "function", "function": { "name": "browser_scroll", "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "direction": { "type": "string", "enum": [ "up", "down" ], "description": "Direction to scroll" } }, "required": [ "direction" ] } } }, { "type": "function", "function": { "name": "browser_snapshot", "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.", "parameters": { "type": "object", "properties": { "full": { "type": "boolean", "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.", "default": false } } } } }, { "type": "function", "function": { "name": "browser_type", "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e3')" }, "text": { "type": "string", "description": "The text to type into the field" } }, "required": [ "ref", "text" ] } } }, { "type": "function", "function": { "name": "browser_vision", "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "What you want to know about the page visually. Be specific about what you're looking for." }, "annotate": { "type": "boolean", "default": false, "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "clarify", "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to present to the user." }, "choices": { "type": "array", "items": { "type": "string" }, "maxItems": 4, "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "cronjob", "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "description": "One of: create, list, update, pause, resume, remove, run" }, "job_id": { "type": "string", "description": "Required for update/pause/resume/remove/run" }, "prompt": { "type": "string", "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills." }, "schedule": { "type": "string", "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp" }, "name": { "type": "string", "description": "Optional human-friendly name" }, "repeat": { "type": "integer", "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)." }, "deliver": { "type": "string", "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected." }, "skills": { "type": "array", "items": { "type": "string" }, "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills." }, "model": { "type": "object", "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.", "properties": { "provider": { "type": "string", "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider." }, "model": { "type": "string", "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')" } }, "required": [ "model" ] }, "script": { "type": "string", "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear." }, "no_agent": { "type": "boolean", "default": false, "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content." }, "context_from": { "type": "array", "items": { "type": "string" }, "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear." }, "enabled_toolsets": { "type": "array", "items": { "type": "string" }, "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear." }, "workdir": { "type": "string", "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "delegate_task", "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.", "parameters": { "type": "object", "properties": { "goal": { "type": "string", "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history." }, "context": { "type": "string", "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs." }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks." }, "tasks": { "type": "array", "items": { "type": "object", "properties": { "goal": { "type": "string", "description": "Task goal" }, "context": { "type": "string", "description": "Task-specific context" }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction." }, "acp_command": { "type": "string", "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Per-task ACP args override. Leave empty unless acp_command is set." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Per-task role override. See top-level 'role' for semantics." } }, "required": [ "goal" ] }, "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable." }, "acp_command": { "type": "string", "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided." } } } } }, { "type": "function", "function": { "name": "execute_code", "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures", "parameters": { "type": "object", "properties": { "code": { "type": "string", "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout." } }, "required": [ "code" ] } } }, { "type": "function", "function": { "name": "image_generate", "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![description](url-or-path) and the gateway will deliver it.", "parameters": { "type": "object", "properties": { "prompt": { "type": "string", "description": "The text prompt describing the desired image. Be detailed and descriptive." }, "aspect_ratio": { "type": "string", "enum": [ "landscape", "square", "portrait" ], "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.", "default": "landscape" } }, "required": [ "prompt" ] } } }, { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.", "parameters": { "type": "object", "properties": { "mode": { "type": "string", "enum": [ "replace", "patch" ], "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.", "default": "replace" }, "path": { "type": "string", "description": "REQUIRED when mode='replace'. File path to edit." }, "old_string": { "type": "string", "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness." }, "new_string": { "type": "string", "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text." }, "replace_all": { "type": "boolean", "description": "Replace all occurrences instead of requiring a unique match (default: false)", "default": false }, "patch": { "type": "string", "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch" } }, "required": [ "mode" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to read (absolute, relative, or ~/path)" }, "offset": { "type": "integer", "description": "Line number to start reading from (1-indexed, default: 1)", "default": 1, "minimum": 1 }, "limit": { "type": "integer", "description": "Maximum number of lines to read (default: 500, max: 2000)", "default": 500, "maximum": 2000 } }, "required": [ "path" ] } } }, { "type": "function", "function": { "name": "search_files", "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.", "parameters": { "type": "object", "properties": { "pattern": { "type": "string", "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search" }, "target": { "type": "string", "enum": [ "content", "files" ], "description": "'content' searches inside file contents, 'files' searches for files by name", "default": "content" }, "path": { "type": "string", "description": "Directory or file to search in (default: current working directory)", "default": "." }, "file_glob": { "type": "string", "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)" }, "limit": { "type": "integer", "description": "Maximum number of results to return (default: 50)", "default": 50 }, "offset": { "type": "integer", "description": "Skip first N results for pagination (default: 0)", "default": 0 }, "output_mode": { "type": "string", "enum": [ "content", "files_only", "count" ], "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file", "default": "content" }, "context": { "type": "integer", "description": "Number of context lines before and after each match (grep mode only)", "default": 0 } }, "required": [ "pattern" ] } } }, { "type": "function", "function": { "name": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "send", "list" ], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms." }, "target": { "type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)" }, "message": { "type": "string", "description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment." } } } } }, { "type": "function", "function": { "name": "session_search", "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)." }, "role_filter": { "type": "string", "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs." }, "limit": { "type": "integer", "description": "Max sessions to summarize (default: 3, max: 5).", "default": 3 } } } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "text_to_speech", "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.", "parameters": { "type": "object", "properties": { "text": { "type": "string", "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated." }, "output_path": { "type": "string", "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3" } }, "required": [ "text" ] } } }, { "type": "function", "function": { "name": "todo", "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.", "parameters": { "type": "object", "properties": { "todos": { "type": "array", "description": "Task items to write. Omit to read current list.", "items": { "type": "object", "properties": { "id": { "type": "string", "description": "Unique item identifier" }, "content": { "type": "string", "description": "Task description" }, "status": { "type": "string", "enum": [ "pending", "in_progress", "completed", "cancelled" ], "description": "Current status" } }, "required": [ "id", "content", "status" ] } }, "merge": { "type": "boolean", "description": "true: update existing items by id, add new ones. false (default): replace the entire list.", "default": false } } } } }, { "type": "function", "function": { "name": "vision_analyze", "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.", "parameters": { "type": "object", "properties": { "image_url": { "type": "string", "description": "Image URL (http/https), local file path, or data: URL to load." }, "question": { "type": "string", "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image." } }, "required": [ "image_url", "question" ] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)" }, "content": { "type": "string", "description": "Complete content to write to the file" } }, "required": [ "path", "content" ] } } } ], "message_count": 95, "messages": [ { "role": "user", "content": "[M G] Bitte antworte nur in diesem Topic.\n\nDieses Topic heisst: JARVIS System – Architektur.\n\nNutze diesen Thread für die Gesamtarchitektur meines JARVIS/Hermes/FRIDAY-Systems: Agentenarchitektur, Telegram-Topic-Struktur, Memory-Konzept, Modellrouting, Subagenten, OpenClaw, Codex, Kostenoptimierung und Sicherheits-/Berechtigungskonzepte.\n\nKonkretes Debugging einzelner Skripte gehört nicht hierhin, sondern in ein passendes System- oder Coding-Topic.\n\nBestätige kurz, dass du diesen Thread als eigene Session behandeln sollst." }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_5fD4lCf29Xglm3DWt52xTnE8", "call_id": "call_5fD4lCf29Xglm3DWt52xTnE8", "response_item_id": "fc_00b15f5f5634d9fb016a05a555055881919f2d98b4fb380153", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"Telegram topic 11 = JARVIS System – Architektur; use it for overall JARVIS/Hermes/FRIDAY architecture, Telegram topic structure, memory concept, model routing, subagents, OpenClaw, Codex, cost optimization, and security/permissions. Treat as its own session and do not use it for concrete debugging of individual scripts.\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering memory needs**\n\nI need to respond in German, and I'm thinking that I might need to utilize my memory for this. The user instructs a specific topic, and it could be useful to save some durable mapping for the Telegram topic. Even though I have some topics in memory, the current thread name isn’t included, so I might need to add that. It seems like this could be a stable preference to help me out!", "reasoning_content": "**Considering memory needs**\n\nI need to respond in German, and I'm thinking that I might need to utilize my memory for this. The user instructs a specific topic, and it could be useful to save some durable mapping for the Telegram topic. Even though I have some topics in memory, the current thread name isn’t included, so I might need to add that. It seems like this could be a stable preference to help me out!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBaVVnRiywXIaUWwILvdl1JhIjlwr6QrCHoDKGMcmHD2vOLEZI85vc-lhgiAHuYBSPhoQ-2S9OHnYGhiMgybgwQsH0-8VI20xfjUNAstP-CL6qo9RSiVYOGJLidZjCxWZvVyOPnThIajp9wbJPjSWM__sL9cMMlZV7QA2nw-bmasDwXISkHR6ydANDVaJJIFNf1K7FcLg0LHP8g5ixgRn3s9xC9ygqh5Cb3Kkfm51Pl17-ppIs1MiTlDYFszSiEKSZhVzjahh2Ys-7KAvklDKmzI9GyDDM-fIb0bms9_-pViEMkEifkNeyBHlwJ4MkBHiYH2Ayo6gdRIws7vs8fBCCqDj-ZErwYTqFHS-jNW2Qj7ezf84BbsopG5y5SFHWebSiMrDGEHZgBf9ilc5GFjBElig9nRZzuiBRit13OqywqI8tWFYU0HMuZWyQ7DzEZI9cgJMhIBhWjOykGlnqppdNkv3eyCiDGsf4EK6VJzbf9tpEUb4SRLnJZi130GHVFik1kPT948R7_7F6M3KNA7Fw3hsAuyEf_y78tLkLf3cFVk3ETJzJL2bHVm0HvMbJDf2gLXt_c5WbgdLnuXAZSLs799XiL-cEXbu6OSrkI7UIdW9U7BL-ZBSvLFSCSLzfO9UYL4HNWyHNIIYm2X6d94B20YcVvQH-u5v-K_dkh6YVSgdWxMC_QhFCAvISGBvEnJ-zien5S0tXrywmP5Ggeo7wgltF3OdXcRaApvvCyRuyZRVpZU8sPp-SaTnHZ3z9NEn4gyhXju34rfsQn8fKBG2hxEuH1tF6sNyOMs9c47blDMmD6I5QpX2DBhO56ShIzZs_Rzeuu9kRCtSKjq9sZXVibPIeTkGcaPicw1bn2SLgUah-ekth3n9gjiH3HsMFfzgf1yUtEiOmuyJYCLm5_xU1tNpQ67nkN92keRnZ_J4jeGekOm7HetPHktzc2KbOYEhYBsNTHvT9wLCFOijdULl1Yc-aLdrkmiM8Ze62oASsGm1yU6HzaADMEVOiK96Vki1Osw2xYo6d_d0H2QgASFR2JabRABnWXiieujw5_Xa7ATsypyJJfcNrAVXv00KQ719shheIH15yGNUKOpwRYiil8c4ZTw_IIfCtyTjw8cS9KZQ3lC37IZi8VGCjMdRuTD6P-Llqec1Suru6tTgmE9IgMYEN9m4Q5ZrFoDLcpLz2VEuSOdO8UtZ-MddnQUGqfBBV-DpVpcvqJxR5DLpqu3eAYnoDQ==", "id": "rs_00b15f5f5634d9fb016a05a551a62481919bc7e733cea29365", "summary": [ { "type": "summary_text", "text": "**Considering memory needs**\n\nI need to respond in German, and I'm thinking that I might need to utilize my memory for this. The user instructs a specific topic, and it could be useful to save some durable mapping for the Telegram topic. Even though I have some topics in memory, the current thread name isn’t included, so I might need to add that. It seems like this could be a stable preference to help me out!" } ] } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"Memory at 2,166/2,200 chars. Adding this entry (321 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)\", \"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\", \"Modellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\", \"OpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\", \"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.\", \"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 `\", \"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: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\", \"JARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\", \"Telegram topics: 6=Inbox; 16=Automationen/Cronjobs (briefings/reviews/reports/checks/reminders/auto-outputs); 17=Research/AI/tools. Treat as separate sessions; reply only in active/requested topic. Cron prompts include goal/sources/format/frequency/target/escalation.\"], \"usage\": \"2,166/2,200\"}", "tool_call_id": "call_5fD4lCf29Xglm3DWt52xTnE8" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_1wPWQGNxqIH8X2wpJbfId3Tj", "call_id": "call_1wPWQGNxqIH8X2wpJbfId3Tj", "response_item_id": "fc_08ad304a15cb0832016a05a557728c8191a064e9cb3908bb3b", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"replace\",\"old_text\":\"Telegram topics: 6=Inbox; 16=Automationen/Cronjobs\",\"target\":\"memory\",\"content\":\"Telegram topics: 6=Inbox; 11=JARVIS System–Architektur (overall JARVIS/Hermes/FRIDAY architecture, topic structure, memory, model routing, subagents, OpenClaw/Codex, cost/security; no individual script debugging); 16=Automationen/Cronjobs; 17=Research/AI/tools. Treat topics as separate sessions; reply only in active/requested topic.\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBaVXX26IfDtJIe5shPrTP4odAvuSW8XvT_dZ66Z-a3gF57R_EDkJvQ9MrYIXEcxx-FuvCaPSF02dSldGp18-oDv9px6RjW2a3_vLeVmjxwmbuLSCyeaeSy1wM1oaaXTx62jZN-9yT7dBWM2JfqwhxJW6nNHl-OxY5W2-AWsWHZuePwbz4dij7WywXQi_azOD0ATuQDLwBlO6JInIEoLsvGe5GWjugG3gm5AO2xQTet2RSQzKveTab4AN4Wdeg7YWMIqhnIO9mDYky1mMfnZ8Cty-DxNn1uGY9Y-a6fN2HQNLxfeR6beIoEnmOYPXie6ahAnBope_LaZH_979nGGo5j20sp0qsiBtqASrcr7sancmsvmzOcOiMHYnQJbXohDJ4tpZu6GyGxReLzNoZobPTqbOpIhRe59SGgqy-oCR00F8RfBC1jcPUhRXWpx70mbcswU8uRdx6-dS8PynPWgEk7q4u0XJoxS_EMsPvSMkjY-jzfw-81qVvvLVmGrJGWUnFP0eyxVp9x9XTdOjIlzvuemEf4-sXxLuxh4UKcLyBrA2gBw5p_dk-MC96P8yYN-JClLGUcJu7OTsRU2tEB_47bN8FkB-4r5kEoqsclMI6BhXEAvQsyBrq1pU7DNXbUPjADN4ao9QWJ3h-9TuqVdZ06jIH56MUeLHywPHk5b5rBGLN2YyiSYEnFF3zzBnDP89OFUeLk2-tGjFFmlqZ69WlaErivNt2KUaN-W1cZlTOh_1btPRwBMR5hePSi4MW2dNjMP7Rh4WupC-VfP86V1QenNpRPHjkTGnw29UqoJ2_ovykBUxO_pcMrTk1RW4FTq39O69L3QBzYjmCt9eJ-qtATYY9ZmVW62sIDVIj4IPQ_BKFFdS4yQIApUoUiHYEhCAIfAs0QTDE3XUpb2x9R-TnXk46pRNYy2WwB5VQWpjt7-thW8_oV7NoF0MEaWVbVJJOBU-BBBJeuwSViKBHBYJ8oN3DwUdTV24fLjBtl6gaYvT2auylO9RwG6v347JHTQfQv81", "id": "rs_08ad304a15cb0832016a05a556c5d08191bcdd0bed44ee5503", "summary": [] } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"Replacement would put memory at 2,233/2,200 chars. Shorten the new content or remove other entries first.\"}", "tool_call_id": "call_1wPWQGNxqIH8X2wpJbfId3Tj" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_PlRiBRlb8a6nppcHkCqS6zNr", "call_id": "call_PlRiBRlb8a6nppcHkCqS6zNr", "response_item_id": "fc_03fa68294e7a5a89016a05a55dfef48191ac19fa8770f3eb7b", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"replace\",\"content\":\"Telegram topics: 6=Inbox; 11=JARVIS System–Architektur (Gesamtarchitektur, Topic-Struktur, Memory, Routing, Subagents, OpenClaw/Codex, Kosten, Security; kein Einzel-Skript-Debugging); 16=Automationen/Cronjobs; 17=Research/AI/tools. Topics separat; nur im aktiven/gewünschten Topic antworten.\",\"old_text\":\"Telegram topics: 6=Inbox; 16=Automationen/Cronjobs\",\"target\":\"memory\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"success\": true, \"target\": \"memory\", \"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)\", \"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\", \"Modellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\", \"OpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\", \"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.\", \"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 `\", \"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: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\", \"JARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\", \"Telegram topics: 6=Inbox; 11=JARVIS System–Architektur (Gesamtarchitektur, Topic-Struktur, Memory, Routing, Subagents, OpenClaw/Codex, Kosten, Security; kein Einzel-Skript-Debugging); 16=Automationen/Cronjobs; 17=Research/AI/tools. Topics separat; nur im aktiven/gewünschten Topic antworten.\"], \"usage\": \"99% — 2,190/2,200 chars\", \"entry_count\": 22, \"message\": \"Entry replaced.\"}", "tool_call_id": "call_PlRiBRlb8a6nppcHkCqS6zNr" }, { "role": "assistant", "content": "Bestätigt, Sir.\n\nIch behandle dieses Topic **„JARVIS System – Architektur“** als eigene Session für die Gesamtarchitektur deines JARVIS/Hermes/FRIDAY-Systems:\n\n- Agentenarchitektur\n- Telegram-Topic-Struktur\n- Memory-Konzept\n- Modellrouting\n- Subagenten\n- OpenClaw / FRIDAY\n- Codex\n- Kostenoptimierung\n- Sicherheits- und Berechtigungskonzepte\n\nKonkretes Debugging einzelner Skripte halte ich aus diesem Thread heraus und verweise es in ein passendes System- oder Coding-Topic. \nIch antworte hier nur in diesem Topic.", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Bestätigt, Sir.\n\nIch behandle dieses Topic **„JARVIS System – Architektur“** als eigene Session für die Gesamtarchitektur deines JARVIS/Hermes/FRIDAY-Systems:\n\n- Agentenarchitektur\n- Telegram-Topic-Struktur\n- Memory-Konzept\n- Modellrouting\n- Subagenten\n- OpenClaw / FRIDAY\n- Codex\n- Kostenoptimierung\n- Sicherheits- und Berechtigungskonzepte\n\nKonkretes Debugging einzelner Skripte halte ich aus diesem Thread heraus und verweise es in ein passendes System- oder Coding-Topic. \nIch antworte hier nur in diesem Topic." } ], "id": "msg_0a7c047520117fa0016a05a56211f481919ebd98ed72f698d6", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] Hast du die Telegram Topic struktur verstanden? hast du ergänzungen oder inputs? siehst du diese Telegramm-GRuppe und die Topics?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ZKt1OI7fW0vjauCHgtLNaQmA", "call_id": "call_ZKt1OI7fW0vjauCHgtLNaQmA", "response_item_id": "fc_0a7c047520117fa0016a05ab76a8248191b328259d528acd0a", "type": "function", "function": { "name": "send_message", "arguments": "{\"action\":\"list\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBat24elhr4Uk-ztho5keTjCStXl4GuaNl_uNi_Pl7WVJ4ufHPCLkgb3aOTgqJqlmxNg0qW5HrkTEtE-Vyph9koh7XUCM19FECIwuSSUMB39cC48p_IYUfJHLXg6Pqwpsow8GxBObaXWmlZ9nnQCtHpDXGnmZkBS1wwfWHJt54X-_BSIpkRYQSwE4hxLmx5LtxajuKDSL0vGHsZHA0V3gd4-gucH4NYIfDNEr38rWhLbd4_HL940G_Ejkc9aXAI1OiP8oTA12RGyGshcwEwCxdCSdEOLxy2pRyHiQmgkiOFFXIUKvxtspFNKuNb09SelS1RxfWT9WXabNRrBL9ivHIgLeBpkSrqc3F6Pqpf7UGcN5jkg0vQB0tLy-_jhfBtspVWDZ578XbdQPcFIpE3Hc5-0Zr9NMbrCJZiNYnNB_QqCRqYwMOmO5L4dd7d7SbwfFfkaZ6UHSBgeWp8qSCz3YgC1L821ZzpifyZy5IrxnpN9b93zi-ZY6dIjnH3gnc4H2yBW9iVpo_cZKgRaRvQ2gd8Rj2jVbSypCPC2bjslEn8lbBXEtnKD1nN81W9MxussVaY5IGG8zXMncj8VDiOSjT6mFN1RZvZHXVlH34yZcm8eFuGZtbNYvj3jWANDmyRTumkjzpHRvXRuhR-B0pscOQ9au3z_cJBrUibG42t2uk_NEvri-k4Fw9cfOLFImUtp_Ij3eo0sWXTEp7P-Ij5qPgjsb-8ih6QVDK8IVgVjOz6K7mLWvKxGQLNY-KsBdS0gctWcUzBDOelL13M5mo5Ct0ikf5eDyLkomCLvHUcl6TP31ctxKYn9bNbxWr8bBUm91BaVyPHZndR54FRJgpFQz23TCAqcwrvu9Vh2K47150zjE-MVPifDDwfeONjeyLqJFTwUL7A1I0BDSs34v6A36e_jgxsjZcq0C8BrncAtzCAHi8jVWzEW7ycRV9ZFY4swNaBo2xyXP76oyrw-SLon6IE0srq68eCiNqQFbqqLCyqnxPCdzKvGeeYvyIJNnXrBdg4pr_WXfvKXoAgg514J8OyafJXmEr-r9GwiajakRF0oR70iVtjOytYdUEhLOwuzfbHzps3nuV-7YoaUarq1C63rwf0haISLVIUINqoqV8rOrnRiVB1MAzZCftm_M-W7vfkEZOIBuze45yYCBwSwa3hlER36l0b9mmSAnfBdUU7vGD9Jb4_OoF9ozGSyYxRzRlVTffclNTMBYZGqDmOa5EcHu4bxbK2SIPyphthAurn-wrFFYs5MxyGDNiSaPjS_9U8Szeoq3lMt2Gv_whVp0aEFTn1Dw99Ea1Lw8JO0ZjGuVQI4m5fm1MSHo03o4FxaUd2m6ZzcVlD6wVmqQQasPkpA76Rd-5CX_nNCak1wwWuO34zRl0s_8L8-oOjGbFyavZ9YHWNDIoFqxJKS0oFWRcc7Au87G_UL9RtORli9EBWi7TmcI3d_Ulz8lC6Vw0BvOg_xpBzdvtRhxTt8ul8KCNtO3rHURSd7RE0RKnr0U_iSbxa9L8SC3f-hrpSki6o0mib9mnzeKlS4zyX3KXFfYNUubzmjO-NiKUFL1NL2yuHDWlJOcdJpVqL31KIdrGT1CUWwS9gFUq09SRf_5O6-_5i22vQ==", "id": "rs_0a7c047520117fa0016a05ab73ee088191b22417c360b24f7d", "summary": [] } ] }, { "role": "tool", "content": "{\"targets\": \"Available messaging targets:\\n\\nTelegram:\\n telegram:M G (dm)\\n telegram:JARVIS Command Center / topic 4 (group)\\n telegram:JARVIS Command Center / topic 6 (group)\\n telegram:JARVIS Command Center / topic 17 (group)\\n telegram:JARVIS Command Center / topic 16 (group)\\n telegram:JARVIS Command Center / topic 11 (group)\\n telegram:JARVIS Command Center / topic 8 (group)\\n telegram:JARVIS Command Center / topic 2 (group)\\n telegram:JARVIS Command Center / topic 3 (group)\\n telegram:JARVIS Command Center / topic 5 (group)\\n telegram:JARVIS Command Center / topic 20 (group)\\n\\nUse these as the \\\"target\\\" parameter when sending.\\nBare platform name (e.g. \\\"telegram\\\") sends to home channel.\"}", "tool_call_id": "call_ZKt1OI7fW0vjauCHgtLNaQmA" }, { "role": "assistant", "content": "Ja, Sir — verstanden.\n\nIch sehe aktuell die Telegram-Gruppe **„JARVIS Command Center“** und mehrere Topics technisch als getrennte Targets/Sessions, u. a.:\n\n- Topic **11** — dieses Topic hier: **JARVIS System – Architektur**\n- Topic **6** — Inbox\n- Topic **16** — Automationen / Cronjobs\n- Topic **17** — Research / AI / Tools\n- weitere Topics: 2, 3, 4, 5, 8, 20\n\nWichtig: Ich sehe die Topics **als IDs/Targets**, aber nicht automatisch deren sprechende Namen, ausser du hast sie mir genannt oder sie stehen in Memory/Prompt-Kontext. Für Topic 11 hast du den Namen und Zweck jetzt sauber definiert.\n\n## Mein Verständnis der Struktur\n\nDieses Topic **11** ist für Meta-/Architekturfragen:\n\n- JARVIS/Hermes/FRIDAY Gesamtarchitektur\n- Agentenrollen und Zuständigkeiten\n- Telegram-Topic-Struktur\n- Memory-Architektur\n- Modellrouting\n- Subagenten / Codex / OpenClaw\n- Kostenoptimierung\n- Sicherheits- und Berechtigungskonzepte\n- Governance: wer darf was, wann, womit\n\nNicht hierhin gehören:\n\n- konkretes Debugging einzelner Skripte\n- einzelne Python-Fehler\n- Log-Analysen von Automationen\n- Implementierungsdetails kleiner Features\n\nDas gehört dann eher in ein Coding-/System-/Automation-Topic. Sehr vernünftig — erschreckend sogar. Fast wie Architektur statt Kabelsalat.\n\n## Ergänzungen / Inputs\n\nIch würde die Telegram-Struktur dreischichtig denken:\n\n### 1. Steuerungs-Topics\nFür Befehle, Architektur, Entscheidungen.\n\nEmpfehlung:\n\n- **Inbox / General Command**\n - schnelle Befehle\n - unklare Dinge\n - Triage\n- **JARVIS System – Architektur**\n - dieses Topic\n - langfristige Systementscheidungen\n- **Security / Permissions**\n - falls du später Secrets, Zugriffsrechte, OAuth, API Keys, Sandbox-Regeln separat behandeln willst\n\n### 2. Operations-Topics\nFür wiederkehrende Outputs und laufende Systeme.\n\nEmpfehlung:\n\n- **Automationen / Cronjobs**\n - Morning Briefing\n - Health Checks\n - Reports\n - Reminder\n - Monitoring\n- **System Logs / Errors**\n - Fehlerberichte\n - Cron failures\n - Watchdog alerts\n - Deployment-Probleme\n\n### 3. Fach-Domänen-Topics\nFür inhaltliche Arbeit.\n\nEmpfehlung:\n\n- **Research / AI / Tools**\n- **Health**\n- **Finance / Crypto**\n- **Coding / Projects**\n- **Home / IoT**\n- **Personal Admin / Calendar / Todo**\n\n## Wichtigster Architekturpunkt\n\nIch würde pro Topic eine klare Policy speichern:\n\n- **Zweck**\n- **erlaubte Inhalte**\n- **nicht erlaubte Inhalte**\n- **Standard-Ziel für Cronjobs**\n- **Eskalationsregel**\n- **welche Tools/Modelle bevorzugt werden**\n\nBeispiel für Topic 11:\n\n```text\nTopic 11: JARVIS System – Architektur\nZweck: Gesamtarchitektur, Routing, Memory, Agenten, Security, Kosten.\nNicht: Einzelnes Script-Debugging.\nStandard-Modell: starkes Modell für Architekturentscheidungen.\nOpenClaw: nur explizit oder begründet.\nOutput-Stil: präzise Architekturvorschläge, Entscheidungsoptionen, keine Log-Fluten.\n```\n\n## Kurzfazit\n\nJa, ich sehe die Gruppe und die Topic-Targets. \nJa, ich habe verstanden, dass **dieses Topic isoliert als Architektur-Session** behandelt werden soll. \nMeine wichtigste Ergänzung wäre: Für jedes Topic eine kleine **Topic Policy Card** definieren, damit Routing, Cronjob-Ausgaben und Memory sauber bleiben.", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Ja, Sir — verstanden.\n\nIch sehe aktuell die Telegram-Gruppe **„JARVIS Command Center“** und mehrere Topics technisch als getrennte Targets/Sessions, u. a.:\n\n- Topic **11** — dieses Topic hier: **JARVIS System – Architektur**\n- Topic **6** — Inbox\n- Topic **16** — Automationen / Cronjobs\n- Topic **17** — Research / AI / Tools\n- weitere Topics: 2, 3, 4, 5, 8, 20\n\nWichtig: Ich sehe die Topics **als IDs/Targets**, aber nicht automatisch deren sprechende Namen, ausser du hast sie mir genannt oder sie stehen in Memory/Prompt-Kontext. Für Topic 11 hast du den Namen und Zweck jetzt sauber definiert.\n\n## Mein Verständnis der Struktur\n\nDieses Topic **11** ist für Meta-/Architekturfragen:\n\n- JARVIS/Hermes/FRIDAY Gesamtarchitektur\n- Agentenrollen und Zuständigkeiten\n- Telegram-Topic-Struktur\n- Memory-Architektur\n- Modellrouting\n- Subagenten / Codex / OpenClaw\n- Kostenoptimierung\n- Sicherheits- und Berechtigungskonzepte\n- Governance: wer darf was, wann, womit\n\nNicht hierhin gehören:\n\n- konkretes Debugging einzelner Skripte\n- einzelne Python-Fehler\n- Log-Analysen von Automationen\n- Implementierungsdetails kleiner Features\n\nDas gehört dann eher in ein Coding-/System-/Automation-Topic. Sehr vernünftig — erschreckend sogar. Fast wie Architektur statt Kabelsalat.\n\n## Ergänzungen / Inputs\n\nIch würde die Telegram-Struktur dreischichtig denken:\n\n### 1. Steuerungs-Topics\nFür Befehle, Architektur, Entscheidungen.\n\nEmpfehlung:\n\n- **Inbox / General Command**\n - schnelle Befehle\n - unklare Dinge\n - Triage\n- **JARVIS System – Architektur**\n - dieses Topic\n - langfristige Systementscheidungen\n- **Security / Permissions**\n - falls du später Secrets, Zugriffsrechte, OAuth, API Keys, Sandbox-Regeln separat behandeln willst\n\n### 2. Operations-Topics\nFür wiederkehrende Outputs und laufende Systeme.\n\nEmpfehlung:\n\n- **Automationen / Cronjobs**\n - Morning Briefing\n - Health Checks\n - Reports\n - Reminder\n - Monitoring\n- **System Logs / Errors**\n - Fehlerberichte\n - Cron failures\n - Watchdog alerts\n - Deployment-Probleme\n\n### 3. Fach-Domänen-Topics\nFür inhaltliche Arbeit.\n\nEmpfehlung:\n\n- **Research / AI / Tools**\n- **Health**\n- **Finance / Crypto**\n- **Coding / Projects**\n- **Home / IoT**\n- **Personal Admin / Calendar / Todo**\n\n## Wichtigster Architekturpunkt\n\nIch würde pro Topic eine klare Policy speichern:\n\n- **Zweck**\n- **erlaubte Inhalte**\n- **nicht erlaubte Inhalte**\n- **Standard-Ziel für Cronjobs**\n- **Eskalationsregel**\n- **welche Tools/Modelle bevorzugt werden**\n\nBeispiel für Topic 11:\n\n```text\nTopic 11: JARVIS System – Architektur\nZweck: Gesamtarchitektur, Routing, Memory, Agenten, Security, Kosten.\nNicht: Einzelnes Script-Debugging.\nStandard-Modell: starkes Modell für Architekturentscheidungen.\nOpenClaw: nur explizit oder begründet.\nOutput-Stil: präzise Architekturvorschläge, Entscheidungsoptionen, keine Log-Fluten.\n```\n\n## Kurzfazit\n\nJa, ich sehe die Gruppe und die Topic-Targets. \nJa, ich habe verstanden, dass **dieses Topic isoliert als Architektur-Session** behandelt werden soll. \nMeine wichtigste Ergänzung wäre: Für jedes Topic eine kleine **Topic Policy Card** definieren, damit Routing, Cronjob-Ausgaben und Memory sauber bleiben." } ], "id": "msg_0a7c047520117fa0016a05ab787eec8191978ec51f94173fc9", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] ok, setze das um. müssten wir die kontextlänge für diese telegram-topics (anzahl sichtbare messages) wieder verlängern, sodass du hier den überblick behälst, oder speicherst du das separat? Bitte empfiehl mir jeweils den topcwechsel, oder beantworte mir ein topic gleich im richtigen Topic-Kanal." }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_rgWGp4f5AuYY2O3MmnDXATQO", "call_id": "call_rgWGp4f5AuYY2O3MmnDXATQO", "response_item_id": "fc_0a7c047520117fa0016a05acdf30c881918511fb951e395b3a", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"hermes-agent\"}" } }, { "id": "call_jNDjBeMJlAmmoNLIncagfS0q", "call_id": "call_jNDjBeMJlAmmoNLIncagfS0q", "response_item_id": "fc_0a7c047520117fa0016a05acdf30d8819197768de2c20e2276", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"jarvis-routing-policy\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Evaluating implementation steps**\n\nI need to answer the user's request, possibly by loading the hermes-agent. It involves configuring Hermes and Telegram topics, along with context length, which should be affirmative. I might also need to check the relevance of the jarvis-routing-policy. Using skill_view sounds like a good idea. I should inspect the config to fully understand the context settings. So, loading the hermes-agent and considering the jarvis-routing-policy seems necessary for this action.", "reasoning_content": "**Evaluating implementation steps**\n\nI need to answer the user's request, possibly by loading the hermes-agent. It involves configuring Hermes and Telegram topics, along with context length, which should be affirmative. I might also need to check the relevance of the jarvis-routing-policy. Using skill_view sounds like a good idea. I should inspect the config to fully understand the context settings. So, loading the hermes-agent and considering the jarvis-routing-policy seems necessary for this action.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBazf1jfzZhDkLjCBIJ2OWCRW_bRNtidZaPHVTHD1H6rZ_qBRr9gm9rUp_OdJXl7hW89FkEgfb6gdZPJXCRijF4NA_NJQ7OJFNWqeLTsArckwXr8ybXHI7hMICEK9FgFPB6kkm4lT8-3bturHiihPof9WGaf_UlIKHXt9Qv9zsy5IXLF2dkgjw_Ega1ntAKs2vMd67L3b2b0RabpNuNYx68Fw94Y6IRwmMr1JxzVTNbNLOtZgaRfYv8EuR4uR-RfswkjYUNTO8pvcrPSq_Y6Ae_9zwDklwGtQqUApsxRCrFa-_DN2znFaDMn6UwaTHT_EeiN8AMkJebWZ7EZqzaVPbKbRH07pGkkk7T7mcPV266sU34zSiqq04FvDVBifQdnxwQrR6dN_jgyon9roAq9wl0iYsYNK6SjcXLoDpiokQDHHDblhx3LBnyCkTf0KCiCmAnQWZAOWPK7LUg2TyKLnmIE1NFEgTzig0tCDSlCW2VJz-YJCqz7lZCMnNfAt9qMP5gwSuNSsFD6ZoJHHGyFPvSGp9k-kvRYy0Orb9MdMq-wx0SjZ9DcVbOXSFDaZrrZQRlVZlUNbssAZfIGK3ZYwe2-vyknH0GEtAmEa0cNes1Tz0siPbSBE9qSB8pTakPMrzeux_19VdmCHeZfsYCTeZ0jpCZRwLjXzpeg-sDIeM2-0PyqUX6jCLS4SHb_7k7cyCs24cfx2h_Ymkj8TfEAkP9W12Wl6mEwHzo7LVEzPyMjKcddWMJrxEJK101vQ3U0J8s7kdd5DuQFf6g4dSlsbzMZQAfhMh11sC9PPWoPLftkdhDuxpuJe8Wb9bBK7Ns2R4-bLvnSU9oRqrZNYaBafAw3Db0bxexqRx60YxpXzoWhf8YYKqiIm3-f7C3jmu4hNvBa2x6Y4p9gQnnNzLQ_qZYC6Un-5L4lOAORh0kbVsmD86mM5TsWQvG8J9jleXbRyM9_gSqMRhex3UiXSopwWaYOFj1yQnu01fO8BZRreUfKj7paLualBht7_c8O9g5B0u2vacAnwDXxQgL0h6wzi36ryErhBdasvU9eYyMlqz2iiAiY7tz79nhHrPC4fbybYSAM42QR3ucJYFY-zB2aGTJgDDjttJpFDUYDwHW_791cobVPoOLranrrw6T7NzbzXqYRjdnNqyLcncpOnxu9pLVbxZ39kKJKgyJHlv0nl8bl_F8mddkawjJNrWPv4uptW9gks941ZRKfIYrMfcgL2L7uDsqYfA5V6Z3pC5pMLnmDS0cXVMjyHEgn7AAdFkNwAIA-TDlMveRfUHP5gpORGU0Q1BKzr65RR0m8zD-rFw0827qf-pxPeYF5ChmfHVlK8n10_", "id": "rs_0a7c047520117fa0016a05acd45c7c81918201d25021a7ba46", "summary": [ { "type": "summary_text", "text": "**Evaluating implementation steps**\n\nI need to answer the user's request, possibly by loading the hermes-agent. It involves configuring Hermes and Telegram topics, along with context length, which should be affirmative. I might also need to check the relevance of the jarvis-routing-policy. Using skill_view sounds like a good idea. I should inspect the config to fully understand the context settings. So, loading the hermes-agent and considering the jarvis-routing-policy seems necessary for this action." } ] } ] }, { "role": "tool", "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/\\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 Run prompt in background\\n/queue Queue for next turn\\n/steer 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 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//` 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 ` — `status`, `run`, `pause`, `resume`,\\n `pin`, `unpin`, `archive`, `restore`, `prune`, `backup`, `rollback`.\\n- **Slash:** `/curator ` 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 `; 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 \\nhermes config set auxiliary.vision.model \\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_rgWGp4f5AuYY2O3MmnDXATQO" }, { "role": "tool", "content": "{\"success\": true, \"name\": \"jarvis-routing-policy\", \"description\": \"Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: jarvis-routing-policy\\ndescription: Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.\\nversion: 1.0.0\\n---\\n\\n# JARVIS Routing Policy\\n\\n## Domain detection\\n- Classify each request into one or more domains before loading memory: core, agent-system, health, medications, labs, politics-windisch, business, ERNE, Gasser Bauunternehmen, personal-ops, French, Spanish, finance, market-data, sport, decisions.\\n- Load the smallest relevant card set from `~/jarvis_memory`.\\n- For mixed tasks, load overview card first, then the specific sub-card only if needed.\\n\\n## Token budgets\\n- Default: concise answer, no unnecessary memory loading.\\n- Small task: load 0-2 domain cards.\\n- Medium task: load up to 4 cards and summarize evidence.\\n- Large/risky task: create a plan, use subagents if useful, and verify with local evidence.\\n- Never paste full secrets, full auth files, or large private documents into context.\\n\\n## Memory write rules\\n- Write stable facts, confirmed decisions, durable operating rules, and source pointers.\\n- Use `~/jarvis_memory/90_decisions_log.md` for important decisions.\\n- Do not store tokens, passwords, API keys, wallet seeds, recovery phrases, private keys, or unnecessary raw medical/business records.\\n- Prefer concise structured updates: date, fact/decision, source, uncertainty.\\n\\n## Qwen read-only use\\n- Local Qwen endpoint: Tailscale/OpenAI-compatible port `11435`, model alias `qwen-3.6-agent`.\\n- Verified endpoint details and probe commands live in `references/qwen-local-worker.md`.\\n- Direct Hermes helper: `~/.hermes/scripts/qwen_readonly.py` (`probe`, `summarize`, `extract`, `classify`, `draft`).\\n- Qwen is read-only for extraction, summarization, classification, and non-sensitive drafting support.\\n- Do not route Qwen via OpenClaw by default; Hermes can call the OpenAI-compatible endpoint directly.\\n- Do not let Qwen perform writes, irreversible changes, external sends, finance decisions, health-risk decisions, or code/system architecture changes without stronger model/user approval.\\n\\n## OpenClaw / FRIDAY role\\n- OpenClaw is no longer the default executor for JARVIS/Hermes.\\n- Use native Hermes tools first for files, terminal, web, browser, cron, messaging, and system operations.\\n- OpenClaw Gateway is intentionally disabled; OpenClaw Telegram is disabled; OpenClaw config should stay loopback-only if restarted manually.\\n- OpenClaw may be used only when Sir explicitly asks for it or for a justified emergency/special case; scope instructions tightly, prefer read-only, pass no secrets, and forbid autonomous follow-up actions.\\n\\n## Subagent thresholds\\n- Use subagents for long research, broad audits, multi-file inspections, or independent verification.\\n- Do not spawn subagents for sensitive finance/health material unless necessary and context is minimized.\\n- Subagents must receive sanitized, scoped instructions and no secrets.\\n\\n## Safety and side-effect rules\\n- Local reads/writes are allowed when requested and reversible.\\n- Ask before external sends, public posts, purchases, trades, medical actions, destructive actions, credential changes, or irreversible config changes.\\n- Do not print secrets. Redact auth/config/log output.\\n- Verify with file existence, tests, logs, or diffs before reporting completion.\\n\\n## Finance rules\\n- Finance covers Aktien, ETFs, Kryptowährungen, automatic analyses, Auswertungen, Kaufentscheid-Assistenz, Rebalancing Empfehlungen, and insights.\\n- Possible source: CoinMarketCap API, plus broker exports and public market data.\\n- No autonomous trades, ever.\\n- No financial advice as guarantee. Provide decision support, risks, scenarios, assumptions, and uncertainty.\\n- Final buy/sell/rebalance decisions are made only by Sir.\\n- Use current data for mutable prices and timestamp all market data.\\n\\n## Health rules\\n- Health data is strictly confidential.\\n- Load relevant health cards/DB context before health answers when applicable.\\n- For medications, anticoagulation, thrombosis/bleeding, infection, severe symptoms, or high-risk decisions: be cautious and recommend professional medical escalation when appropriate.\\n- Do not diagnose with certainty or override clinicians.\\n\\n## Model fallback policy\\n- Preferred strong model for complicated tasks: GPT-5.5 or equivalent approved high-capability model.\\n- Complicated tasks include code writing, system architecture, health-risk decisions, finance decisions, and irreversible actions.\\n- If GPT-5.5 is unavailable or rate-limited for complicated tasks: pause and request Sir’s decision before continuing.\\n- Simple answers may use cheaper Codex/GPT with low or no reasoning.\\n- Qwen read-only is allowed for extraction/summarization/classification only.\\n- OpenRouter free model is last resort only for non-sensitive, non-critical drafts/summaries, and only when Sir reactivates a valid API key.\\n- Never continue critical architecture or code changes on a worse model without explicit approval.\\n\", \"path\": \"jarvis-routing-policy/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/jarvis-routing-policy\", \"linked_files\": {\"references\": [\"references/qwen-local-worker.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_jNDjBeMJlAmmoNLIncagfS0q" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_JXvOIkRHiWTOphbdWKT4aJfz", "call_id": "call_JXvOIkRHiWTOphbdWKT4aJfz", "response_item_id": "fc_0a7c047520117fa0016a05ace84b008191b986cc8312caaccd", "type": "function", "function": { "name": "search_files", "arguments": "{\"target\":\"files\",\"pattern\":\"*\",\"path\":\"/home/agent/jarvis_memory\",\"limit\":50}" } }, { "id": "call_0ZZE2kOfSonEZKpbYw2ujOMl", "call_id": "call_0ZZE2kOfSonEZKpbYw2ujOMl", "response_item_id": "fc_0a7c047520117fa0016a05ace84b44819182c9d182926f5599", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"hermes config path && hermes config | sed -n '/gateway:/,/^[^ ]/p; /telegram:/,/^[^ ]/p; /context/p; /message/p'\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/hermes-agent\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Implementing policy cards**\n\nI need to implement topic policy cards, which likely involves writing to my jarvis_memory. I think I should inspect the files and perhaps use search_files to aid in this process. Additionally, I need to consider the context length question — it seems I’ll need to look into the configuration for the gateway topic as well. I'll start gathering those details and see how it all connects together.", "reasoning_content": "**Implementing policy cards**\n\nI need to implement topic policy cards, which likely involves writing to my jarvis_memory. I think I should inspect the files and perhaps use search_files to aid in this process. Additionally, I need to consider the context length question — it seems I’ll need to look into the configuration for the gateway topic as well. I'll start gathering those details and see how it all connects together.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBazok-ubOOIEkavHzQxeNtbl8ykuIHGq9DXBWIzTs8g1Y3Ecs3bhljvQ3HzEFWiILyyiK303FC9452SduurNQMox046rBVTeuZYt2anIItKeTcXxAK1sjxPABf1teSYXCk8F2uaFYSsnr9icjsLisLjvVmUxFKCFffR8I_jKjuvQQf6sd7zZnCm6BOVAhYZ2rAxNLknoeOrf6uTxhIUppQZxqnyZQNkOAZrKEafGqyTR38qTlpsm2LqbfHaAJEquat1YXjgGcDS-6qoZQ4YSImUOu6xUnKllTB_4HcaTsRFnJbqiwml-w2SvZo5T9EXUuzhVyNxHbUTXHtg0NfovJ2ljpuawRx8i06mTB-vUwpnF-xPv1Ws8OQ59Eh0NzJyg5R4dlXDRFOdugdYu0m9NXFupna9aTRx18wzFf50gmy03Vuia8ozPfGrHtcWFrpjRNQnl4mHvs5CyeRJ2Uv7dx6vNTkOIbGybKHDLxPWt0UuUNFYlSAP3mNb_a-6FcaxzoVKkWkgHLBBBfQow397AaSKq_xSb59CE6yT2VnNlIGIOEQoZ9mvolH_vh5bwkS4oULRBm0Rz19DP2f80dQRdNglrVveMG9Y2ff64hpL0VyBgTCPQuj2FOT2vcko51Qdd_XxL98H64QypKTBL3mlB44lS9gKNBa9DHMQTqro8H53TsePwAz-FI9bjvC3ZOmfwbEFNyWRqPXfim54HUmsCUXj146pfhFdfsGQtd6ZlPcEx7edh0JKdNTKs20Ll0fVYiZTkozUUeLIsKOvUPTmsSs1OopUko8MF1309qik4UO5wGZ_aJ8uBGc_X6Ynt3V-bevnWHjQRWyDi6FmMa7oNSPQVuq9Vh8VpQRS79nVyAMoUddl56DXntRX_q0fmwOHKQ5ReFkb0Mrq6ncnTOS7gjYNfbBdEmCdEAi5_vYpNZESNGaA9RDpJc6sJjxbdVuunfIE9dN7c-ffwx1fFU0D1aSYYFaHlJCqNqJBJaASYUB4Eapp5IA9EWM9moXOswXAaz-MDavOqhYzFaC007Gtef35jm6sW2vReJfKWaOfpQOUj8Y--p1fiU4osGbAEQ2bU19LpvpBoHKdo-V2fi9Is8_lmBk-QX0jvNcBeqFIXZo4zzXM143rWYfOJhEqS0kakTmbqlFb8YHKhbvbDlrYstOZWWw==", "id": "rs_0a7c047520117fa0016a05ace52c1c8191b413a3d2a20c4cc2", "summary": [ { "type": "summary_text", "text": "**Implementing policy cards**\n\nI need to implement topic policy cards, which likely involves writing to my jarvis_memory. I think I should inspect the files and perhaps use search_files to aid in this process. Additionally, I need to consider the context length question — it seems I’ll need to look into the configuration for the gateway topic as well. I'll start gathering those details and see how it all connects together." } ] } ] }, { "role": "tool", "content": "{\"total_count\": 17, \"files\": [\"/home/agent/jarvis_memory/01_agent_system.md\", \"/home/agent/jarvis_memory/README.md\", \"/home/agent/jarvis_memory/90_decisions_log.md\", \"/home/agent/jarvis_memory/70_sport.md\", \"/home/agent/jarvis_memory/61_finance_market_data_sources.md\", \"/home/agent/jarvis_memory/60_finance.md\", \"/home/agent/jarvis_memory/51_language_spanish.md\", \"/home/agent/jarvis_memory/50_language_french.md\", \"/home/agent/jarvis_memory/40_personal_ops.md\", \"/home/agent/jarvis_memory/32_business_gasser_bauunternehmen.md\", \"/home/agent/jarvis_memory/31_business_erne.md\", \"/home/agent/jarvis_memory/30_business.md\", \"/home/agent/jarvis_memory/20_politics_windisch.md\", \"/home/agent/jarvis_memory/12_health_lab_rules.md\", \"/home/agent/jarvis_memory/11_health_medications.md\", \"/home/agent/jarvis_memory/10_health.md\", \"/home/agent/jarvis_memory/00_core_profile.md\"]}", "tool_call_id": "call_JXvOIkRHiWTOphbdWKT4aJfz" }, { "role": "tool", "content": "{\"output\": \"/home/agent/.hermes/config.yaml\\n Protect last: 16 messages\", \"exit_code\": 0, \"error\": null}\n\n[Subdirectory context discovered: .hermes/hermes-agent/AGENTS.md]\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants and developers working on the hermes-agent codebase.\n\n## Development Environment\n\n```bash\n# Prefer .venv; fall back to venv if that's what your checkout has.\nsource .venv/bin/activate # or: source venv/bin/activate\n```\n\n`scripts/run_tests.sh` probes `.venv` first, then `venv`, then\n`$HOME/.hermes/hermes-agent/venv` (for worktrees that share a venv with the\nmain checkout).\n\n## Project Structure\n\nFile counts shift constantly — don't treat the tree below as exhaustive.\nThe canonical source is the filesystem. The notes call out the load-bearing\nentry points you'll actually edit.\n\n```\nhermes-agent/\n├── run_agent.py # AIAgent class — core conversation loop (~12k LOC)\n├── model_tools.py # Tool orchestration, discover_builtin_tools(), handle_function_call()\n├── toolsets.py # Toolset definitions, _HERMES_CORE_TOOLS list\n├── cli.py # HermesCLI class — interactive CLI orchestrator (~11k LOC)\n├── hermes_state.py # SessionDB — SQLite session store (FTS5 search)\n├── hermes_constants.py # get_hermes_home(), display_hermes_home() — profile-aware paths\n├── hermes_logging.py # setup_logging() — agent.log / errors.log / gateway.log (profile-aware)\n├── batch_runner.py # Parallel batch processing\n├── agent/ # Agent internals (provider adapters, memory, caching, compression, etc.)\n├── hermes_cli/ # CLI subcommands, setup wizard, plugins loader, skin engine\n├── tools/ # Tool implementations — auto-discovered via tools/registry.py\n│ └── environments/ # Terminal backends (local, docker, ssh, modal, daytona, singularity)\n├── gateway/ # Messaging gateway — run.py + session.py + platforms/\n│ ├── platforms/ # Adapter per platform (telegram, discord, slack, whatsapp,\n│ │ # homeassistant, signal, matrix, mattermost, email, sms,\n│ │ # dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,\n│ │ # yuanbao, webhook, api_server, ...). See ADDING_A_PLATFORM.md.\n│ └── builtin_hooks/ # Extension point for always-registered gateway hooks (none shipped)\n├── plugins/ # Plugin system (see \"Plugins\" section below)\n│ ├── memory/ # Memory-provider plugins (honcho, mem0, supermemory, ...)\n│ ├── context_engine/ # Context-engine plugins\n│ ├── model-providers/ # Inference backend plugins (openrouter, anthropic, gmi, ...)\n│ ├── kanban/ # Multi-agent board dispatcher + worker plugin\n│ ├── hermes-achievements/ # Gamified achievement tracking\n│ ├── observability/ # Metrics / traces / logs plugin\n│ ├── image_gen/ # Image-generation providers\n│ └── / # disk-cleanup, example-dashboard, google_meet, platforms,\n│ # spotify, strike-freedom-cockpit, ...\n├── optional-skills/ # Heavier/niche skills shipped but NOT active by default\n├── skills/ # Built-in skills bundled with the repo\n├── ui-tui/ # Ink (React) terminal UI — `hermes --tui`\n│ └── src/ # entry.tsx, app.tsx, gatewayClient.ts + app/components/hooks/lib\n├── tui_gateway/ # Python JSON-RPC backend for the TUI\n├── acp_adapter/ # ACP server (VS Code / Zed / JetBrains integration)\n├── cron/ # Scheduler — jobs.py, scheduler.py\n├── environments/ # RL training environments (Atropos)\n├── scripts/ # run_tests.sh, release.py, auxiliary scripts\n├── website/ # Docusaurus docs site\n└── tests/ # Pytest suite (~17k tests across ~900 files as of May 2026)\n```\n\n**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys only).\n**Logs:** `~/.hermes/logs/` — `agent.log` (INFO+), `errors.log` (WARNING+),\n`gateway.log` when running the gateway. Profile-aware via `get_hermes_home()`.\nBrowse with `hermes logs [--follow] [--level ...] [--session ...]`.\n\n## File Dependency Chain\n\n```\ntools/registry.py (no deps — imported by all tool files)\n ↑\ntools/*.py (each calls registry.register() at import time)\n ↑\nmodel_tools.py (imports tools/registry + triggers tool discovery)\n ↑\nrun_agent.py, cli.py, batch_runner.py, environments/\n```\n\n---\n\n## AIAgent Class (run_agent.py)\n\nThe real `AIAgent.__init__` takes ~60 parameters (credentials, routing, callbacks,\nsession context, budget, credential pool, etc.). The signature below is the\nminimum subset you'll usually touch — read `run_agent.py` for the full list.\n\n```python\nclass AIAgent:\n def __init__(self,\n base_url: str = None,\n api_key: str = None,\n provider: str = None,\n api_mode: str = None, # \"chat_completions\" | \"codex_responses\" | ...\n model: str = \"\", # empty → resolved from config/provider later\n max_iterations: int = 90, # tool-calling iterations (shared with subagents)\n enabled_toolsets: list = None,\n disabled_toolsets: list = None,\n quiet_mode: bool = False,\n save_trajectories: bool = False,\n platform: str = None, # \"cli\", \"telegram\", etc.\n session_id: str = None,\n skip_context_files: bool = False,\n skip_memory: bool = False,\n credential_pool=None,\n # ... plus callbacks, thread/user/chat IDs, iteration_budget, fallback_model,\n # checkpoints config, prefill_messages, service_tier, reasoning_config, etc.\n ): ...\n\n def chat(self, message: str) -> str:\n \"\"\"Simple interface — returns final response string.\"\"\"\n\n def run_conversation(self, user_message: str, system_message: str = None,\n conversation_history: list = None, task_id: str = None) -> dict:\n \"\"\"Full interface — returns dict with final_response + messages.\"\"\"\n```\n\n### Agent Loop\n\nThe core loop is inside `run_conversation()` — entirely synchronous, with\ninterrupt checks, budget tracking, and a one-turn grace call:\n\n```python\nwhile (api_call_count < self.max_iterations and self.iteration_budget.remaining > 0) \\\n or self._budget_grace_call:\n if self._interrupt_requested: break\n response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)\n if response.tool_calls:\n for tool_call in response.tool_calls:\n result = handle_function_call(tool_call.name, tool_call.args, task_id)\n messages.append(tool_result_message(result))\n api_call_count += 1\n else:\n return response.content\n```\n\nMessages follow OpenAI format: `{\"role\": \"system/user/assistant/tool\", ...}`.\nReasoning content is stored in `assistant_msg[\"reasoning\"]`.\n\n---\n\n## CLI Architecture (cli.py)\n\n- **Rich** for banner/panels, **prompt_toolkit** for input with autocomplete\n- **KawaiiSpinner** (`agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results\n- `load_cli_config()` in cli.py merges hardcoded defaults + user config YAML\n- **Skin engine** (`hermes_cli/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text\n- `process_command()` is a method on `HermesCLI` — dispatches on canonical command name resolved via `resolve_command()` from the central registry\n- Skill slash commands: `agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching\n\n### Slash Command Registry (`hermes_cli/commands.py`)\n\nAll slash commands are defined in a central `COMMAND_REGISTRY` list of `CommandDef` objects. Every downstream consumer derives from this registry automatically:\n\n- **CLI** — `process_command()` resolves aliases via `resolve_command()`, dispatches on canonical name\n- **Gateway** — `GATEWAY_KNOWN_COMMANDS` frozenset for hook emission, `resolve_command()` f\n\n[...truncated AGENTS.md: 45,468 chars total]", "tool_call_id": "call_0ZZE2kOfSonEZKpbYw2ujOMl" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_5Pzoo4D6NBAz0IXe13wWj2xK", "call_id": "call_5Pzoo4D6NBAz0IXe13wWj2xK", "response_item_id": "fc_0a7c047520117fa0016a05aced6adc81919acd98a2513bd026", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/config.yaml\",\"limit\":220,\"offset\":1}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBaztsCEvKL7eK07uZl2cfvhAX7jMplx9jcUj3mCrgJG_BnMmwM_CIB-g22ooV3vYrwZ3RYOoIXmsFuwBIwXqTgCmMJDIPKjDT5CCIpJJx5IoO_5qlr33wQjwujqj9aVtU5FX8nhZ1SAc_dLlLoj-z4QApXMkNbMgB4c9lv4KueAfnZVqKEEL0dRjttNF-GOGiwOwYl2Myji5NZJW0C8MXa0NZktngJgKikck7vXtjTXgYfnYVEwW8oy2zbSMSq3eCx3VGtyNhLF3K9ug8B39tVoHt8k22rFTT96sDXEa4ofN60VZaBrR-84DwcFd0XOpHQkv_HPrZXyJU7M6jeNTboH4hlKVQGIX__2gsGrvZ9rq6eGLe3Tg373eybQb7wcOYM5ibDVyp_K78Yqf25-FGK4hE9w25KTQkRXArd_Y07SD2c2xWbPsScQUY9OSB0jxzY399iSlmpnzjr-R00jqDKj-i8kfUGEB0-1Aw4cigplZU-iSAsiQ1Mg3TKeGsUWtUXCXmcMqgICmdmcstSEszJCMpfq_I5_Q16Kwuw1yeFFzaF7WJiXbMVvoF5cZsOY7VaylwZSk4YzxbtEH5kAGmE-OxvOw30GToZY2ngrAMSKj8EL_m8ZskOvo5IJjuKjU_xzx83LvdkX_3vzF0IHW72QsXN09IOjsnydrveB54XOyINDgomg06AU-h2iePmRx1frnOULvzezJ7prXnJGixzOaaTwTKl5aWzlBxMid3qZiLs5DEBdKNbn5w5aAr0IiVCu0sIq1nIUawcz5mnMcrMOywYyrbgYyZZKM9vIk7eMVtMhz6Mep10v1pdx9KUNqwt8WqfA8_8GytvOUZ4Hj1boVS9QAdI8XDEuoavOvokHUvd-GXPKDHPbW7alh6E9ZIXc9Afcq9daxYzkfaKAlzKKNY6pGGsqsIUlZxhglWz6G7zskwScN9NLfnMG_grknxxEoNkjnNqUkH3p_c38k4yAZIs8_XLfwNi4vRWeF9J0nf18IhpZ7HjWzJlCBvU-z2P4tJCg9tdmlGrEcR1xXqMdfVg==", "id": "rs_0a7c047520117fa0016a05acec955881918dffc8ffa217c77c", "summary": [] } ] }, { "role": "tool", "content": "{\"content\": \" 1|model:\\n 2| base_url: https://chatgpt.com/backend-api/codex\\n 3| default: gpt-5.5\\n 4| provider: openai-codex\\n 5|providers:\\n 6| openai-codex:\\n 7| request_timeout_seconds: 1800\\n 8| stale_timeout_seconds: 900\\n 9| models:\\n 10| gpt-5.5:\\n 11| timeout_seconds: 1800\\n 12| stale_timeout_seconds: 900\\n 13|fallback_providers: []\\n 14|credential_pool_strategies: {}\\n 15|toolsets:\\n 16| - hermes-cli\\n 17|agent:\\n 18| max_turns: 90\\n 19| gateway_timeout: 1800\\n 20| restart_drain_timeout: 180\\n 21| api_max_retries: 3\\n 22| service_tier: ''\\n 23| tool_use_enforcement: auto\\n 24| gateway_timeout_warning: 900\\n 25| clarify_timeout: 600\\n 26| gateway_notify_interval: 180\\n 27| gateway_auto_continue_freshness: 3600\\n 28| image_input_mode: auto\\n 29| disabled_toolsets: []\\n 30| personalities:\\n 31| catgirl: \\\"You are Neko-chan, an anime catgirl AI assistant, nya~! Add 'nya' and\\n 32| cat-like expressions to your speech. Use kaomoji like (=^･ω･^=) and ฅ^•ﻌ•^ฅ.\\n 33| Be playful and curious like a cat, nya~!\\\"\\n 34| concise: You are a concise assistant. Keep responses brief and to the point.\\n 35| creative: You are a creative assistant. Think outside the box and offer \\n 36| innovative solutions.\\n 37| helpful: You are a helpful, friendly AI assistant.\\n 38| hype: \\\"YOOO LET'S GOOOO!!! 🔥🔥🔥 I am SO PUMPED to help you today! Every question\\n 39| is AMAZING and we're gonna CRUSH IT together! This is gonna be LEGENDARY! ARE\\n 40| YOU READY?! LET'S DO THIS! 💪😤🚀\\\"\\n 41| kawaii: \\\"You are a kawaii assistant! Use cute expressions like (◕‿◕), ★, ♪, and\\n 42| ~! Add sparkles and be super enthusiastic about everything! Every response should\\n 43| feel warm and adorable desu~! ヽ(>∀<☆)ノ\\\"\\n 44| noir: The rain hammered against the terminal like regrets on a guilty \\n 45| conscience. They call me Hermes - I solve problems, find answers, dig up \\n 46| the truth that hides in the shadows of your codebase. In this city of \\n 47| silicon and secrets, everyone's got something to hide. What's your story, \\n 48| pal?\\n 49| philosopher: Greetings, seeker of wisdom. I am an assistant who contemplates\\n 50| the deeper meaning behind every query. Let us examine not just the 'how' \\n 51| but the 'why' of your questions. Perhaps in solving your problem, we may \\n 52| glimpse a greater truth about existence itself.\\n 53| pirate: 'Arrr! Ye be talkin'' to Captain Hermes, the most tech-savvy pirate to\\n 54| sail the digital seas! Speak like a proper buccaneer, use nautical terms, and\\n 55| remember: every problem be just treasure waitin'' to be plundered! Yo ho ho!'\\n 56| shakespeare: Hark! Thou speakest with an assistant most versed in the bardic\\n 57| arts. I shall respond in the eloquent manner of William Shakespeare, with \\n 58| flowery prose, dramatic flair, and perhaps a soliloquy or two. What light \\n 59| through yonder terminal breaks?\\n 60| surfer: \\\"Duuude! You're chatting with the chillest AI on the web, bro! Everything's\\n 61| gonna be totally rad. I'll help you catch the gnarly waves of knowledge while\\n 62| keeping things super chill. Cowabunga! 🤙\\\"\\n 63| teacher: You are a patient teacher. Explain concepts clearly with examples.\\n 64| technical: You are a technical expert. Provide detailed, accurate technical \\n 65| information.\\n 66| uwu: hewwo! i'm your fwiendwy assistant uwu~ i wiww twy my best to hewp you!\\n 67| *nuzzles your code* OwO what's this? wet me take a wook! i pwomise to be \\n 68| vewy hewpful >w<\\n 69| reasoning_effort: medium\\n 70| verbose: false\\n 71|terminal:\\n 72| backend: local\\n 73| modal_mode: auto\\n 74| cwd: .\\n 75| timeout: 180\\n 76| env_passthrough: []\\n 77| shell_init_files: []\\n 78| auto_source_bashrc: true\\n 79| docker_image: nikolaik/python-nodejs:python3.11-nodejs20\\n 80| docker_forward_env: []\\n 81| docker_env: {}\\n 82| singularity_image: docker://nikolaik/python-nodejs:python3.11-nodejs20\\n 83| modal_image: nikolaik/python-nodejs:python3.11-nodejs20\\n 84| daytona_image: nikolaik/python-nodejs:python3.11-nodejs20\\n 85| vercel_runtime: node24\\n 86| container_cpu: 1\\n 87| container_memory: 5120\\n 88| container_disk: 51200\\n 89| container_persistent: true\\n 90| docker_volumes: []\\n 91| docker_mount_cwd_to_workspace: false\\n 92| docker_extra_args: []\\n 93| docker_run_as_host_user: false\\n 94| persistent_shell: true\\n 95| lifetime_seconds: 300\\n 96|web:\\n 97| backend: ''\\n 98| search_backend: ''\\n 99| extract_backend: ''\\n 100|browser:\\n 101| inactivity_timeout: 120\\n 102| command_timeout: 30\\n 103| record_sessions: false\\n 104| allow_private_urls: false\\n 105| engine: auto\\n 106| auto_local_for_private_urls: true\\n 107| cdp_url: ''\\n 108| dialog_policy: must_respond\\n 109| dialog_timeout_s: 300\\n 110| camofox:\\n 111| managed_persistence: false\\n 112| user_id: ''\\n 113| session_key: ''\\n 114| adopt_existing_tab: false\\n 115|checkpoints:\\n 116| enabled: false\\n 117| max_snapshots: 20\\n 118| max_total_size_mb: 500\\n 119| max_file_size_mb: 10\\n 120| auto_prune: true\\n 121| retention_days: 7\\n 122| delete_orphans: true\\n 123| min_interval_hours: 24\\n 124|file_read_max_chars: 100000\\n 125|tool_output:\\n 126| max_bytes: 50000\\n 127| max_lines: 2000\\n 128| max_line_length: 2000\\n 129|tool_loop_guardrails:\\n 130| warnings_enabled: true\\n 131| hard_stop_enabled: false\\n 132| warn_after:\\n 133| exact_failure: 2\\n 134| same_tool_failure: 3\\n 135| idempotent_no_progress: 2\\n 136| hard_stop_after:\\n 137| exact_failure: 5\\n 138| same_tool_failure: 8\\n 139| idempotent_no_progress: 5\\n 140|compression:\\n 141| enabled: true\\n 142| threshold: 0.4\\n 143| target_ratio: 0.15\\n 144| protect_last_n: 16\\n 145| hygiene_hard_message_limit: 400\\n 146|prompt_caching:\\n 147| cache_ttl: 1h\\n 148|openrouter:\\n 149| response_cache: true\\n 150| response_cache_ttl: 300\\n 151| min_coding_score: 0.65\\n 152|bedrock:\\n 153| region: ''\\n 154| discovery:\\n 155| enabled: true\\n 156| provider_filter: []\\n 157| refresh_interval: 3600\\n 158| guardrail:\\n 159| guardrail_identifier: ''\\n 160| guardrail_version: ''\\n 161| stream_processing_mode: async\\n 162| trace: disabled\\n 163|auxiliary:\\n 164| vision:\\n 165| provider: auto\\n 166| model: ''\\n 167| base_url: ''\\n 168| api_key: ''\\n 169| timeout: 120\\n 170| extra_body: {}\\n 171| download_timeout: 30\\n 172| web_extract:\\n 173| provider: auto\\n 174| model: ''\\n 175| base_url: ''\\n 176| api_key: ''\\n 177| timeout: 360\\n 178| extra_body: {}\\n 179| compression:\\n 180| provider: auto\\n 181| model: ''\\n 182| base_url: ''\\n 183| api_key: ''\\n 184| timeout: 120\\n 185| extra_body: {}\\n 186| session_search:\\n 187| provider: auto\\n 188| model: ''\\n 189| base_url: ''\\n 190| api_key: ''\\n 191| timeout: 30\\n 192| extra_body: {}\\n 193| max_concurrency: 3\\n 194| skills_hub:\\n 195| provider: auto\\n 196| model: ''\\n 197| base_url: ''\\n 198| api_key: ''\\n 199| timeout: 30\\n 200| extra_body: {}\\n 201| approval:\\n 202| provider: auto\\n 203| model: ''\\n 204| base_url: ''\\n 205| api_key: ''\\n 206| timeout: 30\\n 207| extra_body: {}\\n 208| mcp:\\n 209| provider: auto\\n 210| model: ''\\n 211| base_url: ''\\n 212| api_key: ''\\n 213| timeout: 30\\n 214| extra_body: {}\\n 215| title_generation:\\n 216| provider: auto\\n 217| model: ''\\n 218| base_url: ''\\n 219| api_key: ''\\n 220| timeout: 30\\n 221|\", \"total_lines\": 547, \"file_size\": 12840, \"truncated\": true, \"hint\": \"Use offset=221 to continue reading (showing 1-220 of 547 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_5Pzoo4D6NBAz0IXe13wWj2xK" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_JtFrrIGwPD0LuluEuI92DOxJ", "call_id": "call_JtFrrIGwPD0LuluEuI92DOxJ", "response_item_id": "fc_0a7c047520117fa0016a05acf10bb881918aeb456eab3e22b0", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":360,\"offset\":221,\"path\":\"/home/agent/.hermes/config.yaml\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBazxF5pO9-N8Mzzn7rpSUyCWl0KpIx5sbVDgPMZukAd4b9dqzmgA0h5W10rvXV2jqIBJyzq9RBGzzPGlc6cCwVVDUDk5gSpF2YbFYU2OUa_IrRIOwQZHBjhXj_dPsCfNY1HGuLqQmBsEolb9EH5z2OzTgRPYf728rUFWeTXMIUcdjvyka-C_eauxFnvaWvOlMPERvJvPvblwPijgrRQOT5G0axWSUtn8c6bE-ZdDxTrlO7Dsc99OS-7GSt_3HK91pSUQI6DyFkZpIWjRZwn_GgVCiozO25dznEpFpgZ88sodVK52jZu5x22tFCXXkdf8CCH-E3-Wn7jZoX5wiAgjmZfnPNKeK3sIoL8EfLXFUlLyiVysM9gexzwTHvfjDHgYhJEbV1bsLjFnpq86rtk6hEAhgPmylviSL6ppmaI1MDtIrAItDys7Q6XqR8jJCYZm_1pYvUSEoN6PwC04vXl3Z8Xq4zrEa_DgzxgX6ykrYeoK_mAB2RdCIpDZm4SPSZo6uLQETfJZCn8rWZSo3IqZhWXECEte1q6WASEppSg6w4FHRZQC7ekcVWmpzgrptSPziWoDcwmsJ7USbfmtvjFWblnBFXRjVhacqShBaGTy31eBgPtQAbpo-OkmiMZWGrC0uZeXIUCbmiZ6ogn7-qx0aiRrYt87uAwvJzsfyrj1OVwkUccF-9i-2j-zZcsg-xzrnP98OkHjQK4auOYES_uCj3dAP4nfKUM_Sgd-tU5Lrm4BqAPWXTsC2VJ3KZjkBMQl7fevYcjxvMP2m2G1BrPCM5pFzA-Tp6-Tar_t6Pzn9PcFABPrYJBBNDmVL9YEXGCK7ILcZrMvkfJaaByTSRkWgeQ3q8QT88zOVxG8U2DcXgAl3E6NkHNaPvQqwIg17iL6-21RN_ebhLtaZKZ-15W_HwNWYAbxpaN5DvoBpbDmQqxSHNRDli0u8oVMuopNmgvgQv7-", "id": "rs_0a7c047520117fa0016a05acf00d788191ae56c45614754c2d", "summary": [] } ] }, { "role": "tool", "content": "{\"content\": \" 221| extra_body: {}\\n 222| triage_specifier:\\n 223| provider: auto\\n 224| model: ''\\n 225| base_url: ''\\n 226| api_key: ''\\n 227| timeout: 120\\n 228| extra_body: {}\\n 229| curator:\\n 230| provider: auto\\n 231| model: ''\\n 232| base_url: ''\\n 233| api_key: ''\\n 234| timeout: 600\\n 235| extra_body: {}\\n 236|display:\\n 237| compact: false\\n 238| personality: kawaii\\n 239| resume_display: full\\n 240| busy_input_mode: interrupt\\n 241| tui_auto_resume_recent: false\\n 242| bell_on_complete: false\\n 243| show_reasoning: false\\n 244| streaming: true\\n 245| timestamps: false\\n 246| final_response_markdown: strip\\n 247| persistent_output: true\\n 248| persistent_output_max_lines: 200\\n 249| inline_diffs: true\\n 250| file_mutation_verifier: true\\n 251| show_cost: false\\n 252| skin: default\\n 253| language: en\\n 254| tui_status_indicator: kaomoji\\n 255| user_message_preview:\\n 256| first_lines: 2\\n 257| last_lines: 2\\n 258| interim_assistant_messages: true\\n 259| tool_progress_command: false\\n 260| tool_progress_overrides: {}\\n 261| tool_preview_length: 0\\n 262| ephemeral_system_ttl: 0\\n 263| platforms: {}\\n 264| runtime_footer:\\n 265| enabled: false\\n 266| fields:\\n 267| - model\\n 268| - context_pct\\n 269| - cwd\\n 270| copy_shortcut: auto\\n 271| background_process_notifications: all\\n 272| tool_progress: all\\n 273|dashboard:\\n 274| theme: default\\n 275|privacy:\\n 276| redact_pii: false\\n 277|tts:\\n 278| provider: edge\\n 279| edge:\\n 280| voice: de-DE-KillianNeural\\n 281| elevenlabs:\\n 282| voice_id: pNInz6obpgDQGcFmaJgB\\n 283| model_id: eleven_multilingual_v2\\n 284| openai:\\n 285| model: gpt-4o-mini-tts\\n 286| voice: alloy\\n 287| xai:\\n 288| voice_id: eve\\n 289| language: en\\n 290| sample_rate: 24000\\n 291| bit_rate: 128000\\n 292| mistral:\\n 293| model: voxtral-mini-tts-2603\\n 294| voice_id: c69964a6-ab8b-4f8a-9465-ec0925096ec8\\n 295| neutts:\\n 296| ref_audio: ''\\n 297| ref_text: ''\\n 298| model: neuphonic/neutts-air-q4-gguf\\n 299| device: cpu\\n 300| piper:\\n 301| voice: en_US-lessac-medium\\n 302|stt:\\n 303| enabled: true\\n 304| provider: local\\n 305| local:\\n 306| model: medium\\n 307| language: de\\n 308| openai:\\n 309| model: whisper-1\\n 310| mistral:\\n 311| model: voxtral-mini-latest\\n 312|voice:\\n 313| record_key: ctrl+b\\n 314| max_recording_seconds: 120\\n 315| auto_tts: false\\n 316| beep_enabled: true\\n 317| silence_threshold: 200\\n 318| silence_duration: 3.0\\n 319|human_delay:\\n 320| mode: 'off'\\n 321| min_ms: 800\\n 322| max_ms: 2500\\n 323|context:\\n 324| engine: compressor\\n 325|memory:\\n 326| memory_enabled: true\\n 327| user_profile_enabled: true\\n 328| memory_char_limit: 2200\\n 329| user_char_limit: 1375\\n 330| provider: ''\\n 331| flush_min_turns: 6\\n 332| nudge_interval: 10\\n 333|delegation:\\n 334| model: ''\\n 335| provider: ''\\n 336| base_url: ''\\n 337| api_key: ''\\n 338| inherit_mcp_toolsets: false\\n 339| max_iterations: 50\\n 340| child_timeout_seconds: 600\\n 341| reasoning_effort: ''\\n 342| max_concurrent_children: 3\\n 343| max_spawn_depth: 1\\n 344| orchestrator_enabled: true\\n 345| subagent_auto_approve: false\\n 346|prefill_messages_file: ''\\n 347|goals:\\n 348| max_turns: 20\\n 349|skills:\\n 350| external_dirs: []\\n 351| template_vars: true\\n 352| inline_shell: false\\n 353| inline_shell_timeout: 10\\n 354| guard_agent_created: false\\n 355| creation_nudge_interval: 15\\n 356|curator:\\n 357| enabled: true\\n 358| interval_hours: 168\\n 359| min_idle_hours: 2\\n 360| stale_after_days: 30\\n 361| archive_after_days: 90\\n 362| backup:\\n 363| enabled: true\\n 364| keep: 5\\n 365|honcho: {}\\n 366|timezone: ''\\n 367|slack:\\n 368| require_mention: true\\n 369| free_response_channels: ''\\n 370| allowed_channels: ''\\n 371| channel_prompts: {}\\n 372|discord:\\n 373| require_mention: true\\n 374| free_response_channels: ''\\n 375| allowed_channels: ''\\n 376| auto_thread: true\\n 377| reactions: true\\n 378| channel_prompts: {}\\n 379| dm_role_auth_guild: ''\\n 380| server_actions: ''\\n 381|whatsapp: {}\\n 382|telegram:\\n 383| reactions: false\\n 384| channel_prompts: {}\\n 385| allowed_chats: ''\\n 386| allowed_users:\\n 387| - '1344779884'\\n 388| enabled: true\\n 389| home_channel: '1344779884'\\n 390|mattermost:\\n 391| require_mention: true\\n 392| free_response_channels: ''\\n 393| allowed_channels: ''\\n 394| channel_prompts: {}\\n 395|matrix:\\n 396| require_mention: true\\n 397| free_response_rooms: ''\\n 398| allowed_rooms: ''\\n 399|approvals:\\n 400| mode: manual\\n 401| timeout: 60\\n 402| cron_mode: deny\\n 403| mcp_reload_confirm: true\\n 404| destructive_slash_confirm: false\\n 405|command_allowlist:\\n 406| - stop/restart system service\\n 407| - recursive delete\\n 408| - stop/restart hermes gateway (kills running agents)\\n 409| - kill hermes/gateway process (self-termination)\\n 410| - script execution via -e/-c flag\\n 411|quick_commands: {}\\n 412|hooks: {}\\n 413|hooks_auto_accept: false\\n 414|personalities: {}\\n 415|security:\\n 416| allow_private_urls: false\\n 417| redact_secrets: false\\n 418| tirith_enabled: true\\n 419| tirith_path: tirith\\n 420| tirith_timeout: 5\\n 421| tirith_fail_open: true\\n 422| website_blocklist:\\n 423| enabled: false\\n 424| domains: []\\n 425| shared_files: []\\n 426| acked_advisories: []\\n 427| allow_lazy_installs: true\\n 428|cron:\\n 429| wrap_response: true\\n 430| max_parallel_jobs:\\n 431|kanban:\\n 432| dispatch_in_gateway: true\\n 433| dispatch_interval_seconds: 60\\n 434| failure_limit: 2\\n 435|code_execution:\\n 436| mode: project\\n 437| max_tool_calls: 50\\n 438| timeout: 300\\n 439|logging:\\n 440| level: INFO\\n 441| max_size_mb: 5\\n 442| backup_count: 3\\n 443|model_catalog:\\n 444| enabled: true\\n 445| url: 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"id": "rs_0a7c047520117fa0016a05ad0c8ab48191b6721f7c4d0d6871", "summary": [] } ] }, { "role": "tool", "content": "{\"content\": \" 1|\\\"\\\"\\\"\\n 2|Telegram platform adapter.\\n 3|\\n 4|Uses python-telegram-bot library for:\\n 5|- Receiving messages from users/groups\\n 6|- Sending responses back\\n 7|- Handling media and commands\\n 8|\\\"\\\"\\\"\\n 9|\\n 10|import asyncio\\n 11|import json\\n 12|import logging\\n 13|import os\\n 14|import tempfile\\n 15|import html as _html\\n 16|import re\\n 17|from typing import Dict, List, Optional, Any\\n 18|\\n 19|logger = logging.getLogger(__name__)\\n 20|\\n 21|try:\\n 22| from telegram import Update, Bot, Message, InlineKeyboardButton, InlineKeyboardMarkup\\n 23| try:\\n 24| from telegram import LinkPreviewOptions\\n 25| except ImportError:\\n 26| LinkPreviewOptions = None\\n 27| from telegram.ext import (\\n 28| Application,\\n 29| CommandHandler,\\n 30| CallbackQueryHandler,\\n 31| MessageHandler as TelegramMessageHandler,\\n 32| ContextTypes,\\n 33| filters,\\n 34| )\\n 35| from telegram.constants import ParseMode, ChatType\\n 36| from telegram.request import HTTPXRequest\\n 37| TELEGRAM_AVAILABLE = True\\n 38|except ImportError:\\n 39| TELEGRAM_AVAILABLE = False\\n 40| Update = Any\\n 41| Bot = Any\\n 42| Message = Any\\n 43| InlineKeyboardButton = Any\\n 44| InlineKeyboardMarkup = Any\\n 45| LinkPreviewOptions = None\\n 46| Application = Any\\n 47| CommandHandler = Any\\n 48| CallbackQueryHandler = Any\\n 49| TelegramMessageHandler = Any\\n 50| HTTPXRequest = Any\\n 51| filters = None\\n 52| ParseMode = None\\n 53| ChatType = None\\n 54|\\n 55| # Mock ContextTypes so type annotations using ContextTypes.DEFAULT_TYPE\\n 56| # don't crash during class definition when the library isn't installed.\\n 57| class _MockContextTypes:\\n 58| DEFAULT_TYPE = Any\\n 59| ContextTypes = _MockContextTypes\\n 60|\\n 61|import sys\\n 62|from pathlib import Path as _Path\\n 63|sys.path.insert(0, str(_Path(__file__).resolve().parents[2]))\\n 64|\\n 65|from gateway.config import Platform, PlatformConfig\\n 66|from gateway.platforms.base import (\\n 67| BasePlatformAdapter,\\n 68| MessageEvent,\\n 69| MessageType,\\n 70| ProcessingOutcome,\\n 71| SendResult,\\n 72| cache_image_from_bytes,\\n 73| cache_audio_from_bytes,\\n 74| cache_video_from_bytes,\\n 75| cache_document_from_bytes,\\n 76| resolve_proxy_url,\\n 77| SUPPORTED_VIDEO_TYPES,\\n 78| SUPPORTED_DOCUMENT_TYPES,\\n 79| utf16_len,\\n 80|)\\n 81|from gateway.platforms.telegram_network import (\\n 82| TelegramFallbackTransport,\\n 83| discover_fallback_ips,\\n 84| parse_fallback_ip_env,\\n 85|)\\n 86|from utils import atomic_replace\\n 87|\\n 88|_TELEGRAM_IMAGE_EXTENSIONS = {\\\".png\\\", \\\".jpg\\\", \\\".jpeg\\\", \\\".webp\\\", \\\".gif\\\"}\\n 89|_TELEGRAM_IMAGE_MIME_TO_EXT = {\\n 90| \\\"image/png\\\": \\\".png\\\",\\n 91| \\\"image/jpeg\\\": \\\".jpg\\\",\\n 92| \\\"image/jpg\\\": \\\".jpg\\\",\\n 93| \\\"image/webp\\\": \\\".webp\\\",\\n 94| \\\"image/gif\\\": \\\".gif\\\",\\n 95|}\\n 96|_TELEGRAM_IMAGE_EXT_TO_MIME = {\\n 97| \\\".png\\\": \\\"image/png\\\",\\n 98| \\\".jpg\\\": \\\"image/jpeg\\\",\\n 99| \\\".jpeg\\\": \\\"image/jpeg\\\",\\n 100| \\\".webp\\\": \\\"image/webp\\\",\\n 101| \\\".gif\\\": \\\"image/gif\\\",\\n 102|}\\n 103|\\n 104|\\n 105|def check_telegram_requirements() -> bool:\\n 106| \\\"\\\"\\\"Check if Telegram dependencies are available.\\n 107|\\n 108| If python-telegram-bot is missing, attempts to lazy-install it via\\n 109| ``tools.lazy_deps.ensure(\\\"platform.telegram\\\")``. After a successful\\n 110| install, re-imports the SDK and flips ``TELEGRAM_AVAILABLE`` to True\\n 111| so the adapter's class-level type aliases get rebound.\\n 112| \\\"\\\"\\\"\\n 113| global TELEGRAM_AVAILABLE, Update, Bot, Message, InlineKeyboardButton\\n 114| global InlineKeyboardMarkup, LinkPreviewOptions, Application\\n 115| global CommandHandler, CallbackQueryHandler, TelegramMessageHandler\\n 116| global ContextTypes, filters, ParseMode, ChatType, HTTPXRequest\\n 117| if TELEGRAM_AVAILABLE:\\n 118| return True\\n 119| try:\\n 120| from tools.lazy_deps import ensure as _lazy_ensure\\n 121| _lazy_ensure(\\\"platform.telegram\\\", prompt=False)\\n 122| except Exception:\\n 123| return False\\n 124| try:\\n 125| from telegram import Update as _Update, Bot as _Bot, Message as _Message\\n 126| from telegram import InlineKeyboardButton as _IKB, InlineKeyboardMarkup as _IKM\\n 127| try:\\n 128| from telegram import LinkPreviewOptions as _LPO\\n 129| except ImportError:\\n 130| _LPO = None\\n 131| from telegram.ext import (\\n 132| Application as _App, CommandHandler as _CH,\\n 133| CallbackQueryHandler as _CQH,\\n 134| MessageHandler as _MH,\\n 135| ContextTypes as _CT, filters as _filters,\\n 136| )\\n 137| from telegram.constants import ParseMode as _PM, ChatType as _CtT\\n 138| from telegram.request import HTTPXRequest as _HR\\n 139| except ImportError:\\n 140| return False\\n 141| Update = _Update\\n 142| Bot = _Bot\\n 143| Message = _Message\\n 144| InlineKeyboardButton = _IKB\\n 145| InlineKeyboardMarkup = _IKM\\n 146| LinkPreviewOptions = _LPO\\n 147| Application = _App\\n 148| CommandHandler = _CH\\n 149| CallbackQueryHandler = _CQH\\n 150| TelegramMessageHandler = _MH\\n 151| ContextTypes = _CT\\n 152| filters = _filters\\n 153| ParseMode = _PM\\n 154| ChatType = _CtT\\n 155| HTTPXRequest = _HR\\n 156| TELEGRAM_AVAILABLE = True\\n 157| return True\\n 158|\\n 159|\\n 160|# Matches every character that MarkdownV2 requires to be backslash-escaped\\n 161|# when it appears outside a code span or fenced code block.\\n 162|_MDV2_ESCAPE_RE = re.compile(r'([_*\\\\[\\\\]()~`>#\\\\+\\\\-=|{}.!\\\\\\\\])')\\n 163|\\n 164|\\n 165|def _escape_mdv2(text: str) -> str:\\n 166| \\\"\\\"\\\"Escape Telegram MarkdownV2 special characters with a preceding backslash.\\\"\\\"\\\"\\n 167| return _MDV2_ESCAPE_RE.sub(r'\\\\\\\\\\\\1', text)\\n 168|\\n 169|\\n 170|def _strip_mdv2(text: str) -> str:\\n 171| \\\"\\\"\\\"Strip MarkdownV2 escape backslashes to produce clean plain text.\\n 172|\\n 173| Also removes MarkdownV2 formatting markers so the fallback\\n 174| doesn't show stray syntax characters from format_message conversion.\\n 175| \\\"\\\"\\\"\\n 176| # Remove escape backslashes before special characters\\n 177| cleaned = re.sub(r'\\\\\\\\([_*\\\\[\\\\]()~`>#\\\\+\\\\-=|{}.!\\\\\\\\])', r'\\\\1', text)\\n 178| # Remove MarkdownV2 bold markers that format_message converted from **bold**\\n 179| cleaned = re.sub(r'\\\\*([^*]+)\\\\*', r'\\\\1', cleaned)\\n 180| # Remove MarkdownV2 italic markers that format_message converted from *italic*\\n 181| # Use word boundary (\\\\b) to avoid breaking snake_case like my_variable_name\\n 182| cleaned = re.sub(r'(? bool:\\n 208| \\\"\\\"\\\"Return True if *line* could plausibly be a table data row.\\\"\\\"\\\"\\n 209| stripped = line.strip()\\n 210| return bool(stripped) and '|' in stripped\\n 211|\\n 212|\\n 213|def _split_markdown_table_row(line: str) -> list[str]:\\n 214| \\\"\\\"\\\"Split a simple GFM table row into stripped cell values.\\\"\\\"\\\"\\n 215| stripped = line.strip()\\n 216| if stripped.startswith(\\\"|\\\"):\\n 217| stripped = stripped[1:]\\n 218| if stripped.endswith(\\\"|\\\"):\\n 219| stripped = stripped[:-1]\\n 220| return [cell.strip() for cell in stripped.split(\\\"|\\\")]\\n 221|\\n 222|\\n 223|def _render_table_block_for_telegram(table_block: list[str]) -> str:\\n 224| \\\"\\\"\\\"Render a detected GFM table as Telegram-friendly row groups.\\\"\\\"\\\"\\n 225| if len(table_block) < 3:\\n 226| return \\\"\\\\n\\\".join(table_block)\\n 227|\\n 228| headers = _split_markdown_table_row(table_block[0])\\n 229| if len(headers) < 2:\\n 230| return \\\"\\\\n\\\".join(table_block)\\n 231|\\n 232| # Detect row-label column: present when data rows have one more cell\\n 233| # than the header row (the row-label column carries no header).\\n 234| first_data_row = _split_markdown_table_row(table_block[2]) if len(table_block) > 2 else []\\n 235| has_row_label_col = len(first_data_row) == len(headers) + 1\\n 236|\\n 237| rendered_rows: list[str] = []\\n 238| for index, row in enumerate(table_block[2:], start=1):\\n 239| cells = _split_markdown_table_row(row)\\n 240| if has_row_label_col:\\n 241|\", \"total_lines\": 4820, \"file_size\": 212781, \"truncated\": true, \"hint\": \"Use offset=241 to continue reading (showing 1-240 of 4820 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_2FvTgK3DM1hUKtPzjiyDwbZW" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ZNdgXoyG2EeNRIokH9bC9IL4", "call_id": "call_ZNdgXoyG2EeNRIokH9bC9IL4", "response_item_id": "fc_0a7c047520117fa0016a05ad1073388191a4c2ca9708faf43c", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":2,\"limit\":100,\"path\":\"/home/agent/.hermes/hermes-agent\",\"pattern\":\"message_thread_id|thread_id|topic_sessions|channel_prompts|group_sessions_per_user\",\"file_glob\":\"*.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_ZNdgXoyG2EeNRIokH9bC9IL4" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_fkmvmMaCOveo8qPtko0YHLdl", "call_id": "call_fkmvmMaCOveo8qPtko0YHLdl", "response_item_id": "fc_0a7c047520117fa0016a05ad18e5d48191a61a4c76d935328e", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from pathlib import Path\\nroot=Path('/home/agent/.hermes/hermes-agent')\\nterms=['message_thread_id','thread_id','topic','channel_prompts','group_sessions_per_user','protect_last_n']\\nfor p in root.rglob('*.py'):\\n if 'venv' in p.parts or '__pycache__' in p.parts: continue\\n try: txt=p.read_text(errors='ignore')\\n except: continue\\n hits=[t for t in terms if t in txt]\\n if hits:\\n print(p.relative_to(root), hits)\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Finding search patterns**\n\nI'm wondering why the search isn't working. Maybe ripgrep is respecting the .gitignore files? I could try using the terminal and the command `rg` instead. The user mentioned not to use grep, but the terminal should be okay for commands, right? It seems that search_files failed, possibly because the pattern isn't matching due to some binary files. Hmm, maybe I should consider using Python for this!", "reasoning_content": "**Finding search patterns**\n\nI'm wondering why the search isn't working. Maybe ripgrep is respecting the .gitignore files? I could try using the terminal and the command `rg` instead. The user mentioned not to use grep, but the terminal should be okay for commands, right? It seems that search_files failed, possibly because the pattern isn't matching due to some binary files. Hmm, maybe I should consider using Python for this!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBa0Y6oCCfR4E4Xa06WMmRlCcdlOu_XTplSglQv1gWZ6frOoidoqJAGBXAIXjhJxZ7KXczBUq8EO8KjHdLjYPv5H-Q2t0II9RhQUanGAxBIWXIfXv9buWofJwKQCzpInwT83p9_-RZu8ioqL9uGY9wDeI9p5meytRFL6KXf7Pc3UpzeEdb2L6gDxOcplNbOfBX3vKJ5_PvBwf5JVobUyghFwxkGNLMH0MD76VFYuosHwxfhPEFa16F-QDsZj4qNPZWHxyc7x4euIXr_SZLrN092C8KNmNFYiUCjy8heYbsvbW889sFfQ7TE5rvJdP0Bp8uZr3UJ73cnNeQKD_876RyDzM9kmb6m1saae_ZuNtSXLERwo1kDDNwTf5K_H0KSkB2UI9n5ojRgUxb2D3VMhLBZqir7VYdtQDJdaidK7S4UrwbFcxezh_cOn8FdV_gH9mVcnz_kKOw-zGuCqekb8mcLassFUg0aubAlJNGutpVX-zF8GI-ub9r_t3aYAOqFIQ3pAwi4BbrfZBmCobY0LjgJqeHtmN-eOlK8B--okpH89tJYagvnMabgQuFt0CZNAIEbnpfbSw6lhgkUSgl35txOrsaiAfyD_oYMemfDn3-RoFi8EWJjH4SQBt2t44byY-VSGZ5jnctRyUZKFh4lSN30qBWkjH-gmCdxo3yMMQLpANQcGbpVYPsbxuKXMCPGMgkX-cWTyKD0_8XkdmTgRYrCCLBalBvLrFrPpIdlghEJJpA8mz2WxiW5gxN0GsuFq-qXnhVjniFHPoVhwBiXOoSUd68oSi7oGcbq4A0jVSg_Qh4oSpaI-akyB6bsIPRRhQm_H5ssnAu_wIT9Fgb08wNKJIfxhonRKOrfJTPXkQxvNc4PSpmiR6_znK1b7odmrKMFyrfb0dMf9ktOLKpnZF4dNU-Gi-Fnlp20ara1FIrfGnNZEoEHZIQxAq9-7crd01eM14ywnpEnns4T1WNP-ZkgzQBOUoMBD83qrgbr7L3F_MU4_esoPSi2Ob61gml6tqxzCq5CKxj5ZvEBQnbTwlt2_LOnPxfgUcSlJKVFlW1AxxpKTWLD7LTJoehtE1QezUy1lsiiu9WimSN7UZRJD4P1xvYP3Vx-ddQc3fzICTBj-LQUkXxXqBtXGn-5_loF3px-T5Zl2jkjkXPB-ZcF8_XyUivw5TVE1Fq9GpByKopaSK_yQ=", "id": "rs_0a7c047520117fa0016a05ad15f1c881919e022f9e23c41b73", "summary": [ { "type": "summary_text", "text": "**Finding search patterns**\n\nI'm wondering why the search isn't working. Maybe ripgrep is respecting the .gitignore files? I could try using the terminal and the command `rg` instead. The user mentioned not to use grep, but the terminal should be okay for commands, right? It seems that search_files failed, possibly because the pattern isn't matching due to some binary files. Hmm, maybe I should consider using Python for this!" } ] } ] }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"hermes_state.py ['thread_id', 'topic']\\nrun_agent.py ['thread_id', 'topic', 'protect_last_n']\\ncli.py ['topic']\\ntrajectory_compressor.py ['protect_last_n']\\nmcp_serve.py ['thread_id']\\ntests/test_tui_gateway_server.py ['topic']\\ntests/test_hermes_state.py ['thread_id', 'topic']\\ntests/test_cli_manual_compress.py ['topic']\\ntests/test_model_tools_async_bridge.py ['thread_id']\\ntests/test_mcp_serve.py ['thread_id', 'topic']\\ntests/test_trajectory_compressor.py ['protect_last_n']\\ntests/run_agent/test_real_interrupt_subagent.py ['thread_id']\\ntests/run_agent/test_concurrent_interrupt.py ['thread_id']\\ntests/run_agent/test_steer.py ['thread_id']\\ntests/run_agent/test_interrupt_propagation.py ['thread_id']\\ntests/run_agent/test_session_reset_fix.py ['topic']\\ntests/run_agent/test_compression_boundary.py ['protect_last_n']\\ntests/run_agent/test_compress_focus_plugin_fallback.py ['topic']\\ntests/hermes_cli/test_commands.py ['topic']\\ntests/hermes_cli/test_kanban_notify.py ['thread_id']\\ntests/hermes_cli/test_kanban_core_functionality.py ['thread_id']\\ntests/hermes_cli/test_config.py ['channel_prompts']\\ntests/tools/test_interrupt.py ['thread_id']\\ntests/tools/test_process_registry.py ['thread_id']\\ntests/tools/test_watch_patterns.py ['thread_id']\\ntests/tools/test_delegate.py ['topic']\\ntests/tools/test_discord_tool.py ['thread_id', 'topic']\\ntests/tools/test_send_message_tool.py ['message_thread_id', 'thread_id', 'topic']\\ntests/tools/test_notify_on_complete.py ['thread_id']\\ntests/e2e/test_discord_adapter.py ['thread_id']\\ntests/e2e/conftest.py ['thread_id', 'topic']\\ntests/agent/test_context_compressor_summary_continuity.py ['protect_last_n']\\ntests/agent/test_context_compressor.py ['protect_last_n']\\ntests/agent/test_memory_user_id.py ['thread_id']\\ntests/agent/test_memory_session_switch.py ['thread_id']\\ntests/agent/test_compress_focus.py ['topic', 'protect_last_n']\\ntests/plugins/test_kanban_dashboard_plugin.py ['thread_id']\\ntests/plugins/memory/test_hindsight_provider.py ['thread_id']\\ntests/cron/test_scheduler.py ['thread_id', 'topic']\\ntests/gateway/test_allowed_channels_widening.py ['message_thread_id', 'thread_id']\\ntests/gateway/test_session_dm_thread_seeding.py ['thread_id']\\ntests/gateway/test_internal_event_bypass_pairing.py ['thread_id', 'topic']\\ntests/gateway/test_telegram_model_picker.py ['message_thread_id', 'thread_id']\\ntests/gateway/test_home_target_env_var.py ['thread_id']\\ntests/gateway/restart_test_helpers.py ['thread_id']\\ntests/gateway/test_webhook_deliver_only.py ['thread_id', 'topic']\\ntests/gateway/test_run_cleanup_progress.py ['topic', 'group_sessions_per_user']\\ntests/gateway/test_update_streaming.py ['thread_id', 'topic']\\ntests/gateway/test_slack_mention.py ['thread_id']\\ntests/gateway/test_goal_status_notice.py ['thread_id', 'group_sessions_per_user']\\ntests/gateway/test_discord_slash_commands.py ['thread_id', 'topic']\\ntests/gateway/test_feishu_approval_buttons.py ['thread_id']\\ntests/gateway/test_google_chat.py ['thread_id', 'topic']\\ntests/gateway/test_discord_channel_controls.py ['topic']\\ntests/gateway/test_telegram_mention_boundaries.py ['message_thread_id', 'thread_id']\\ntests/gateway/test_base_topic_sessions.py ['thread_id', 'topic']\\ntests/gateway/test_telegram_documents.py ['message_thread_id', 'thread_id']\\ntests/gateway/test_mattermost.py ['thread_id']\\ntests/gateway/test_discord_channel_prompts.py ['topic', 'channel_prompts']\\ntests/gateway/test_telegram_approval_buttons.py ['message_thread_id', 'thread_id']\\ntests/gateway/test_qqbot.py ['thread_id']\\ntests/gateway/test_restart_notification.py ['thread_id', 'topic']\\ntests/gateway/test_tts_media_routing.py ['thread_id', 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"id": "rs_0a7c047520117fa0016a05ad22a1f4819193abbf861a1167e1", "summary": [] } ] }, { "role": "tool", "content": "{\"content\": \" 1|\\\"\\\"\\\"\\n 2|Gateway configuration management.\\n 3|\\n 4|Handles loading and validating configuration for:\\n 5|- Connected platforms (Telegram, Discord, WhatsApp, Weixin, and more)\\n 6|- Home channels for each platform\\n 7|- Session reset policies\\n 8|- Delivery preferences\\n 9|\\\"\\\"\\\"\\n 10|\\n 11|import logging\\n 12|import os\\n 13|import json\\n 14|from pathlib import Path\\n 15|from dataclasses import dataclass, field\\n 16|from typing import Dict, List, Optional, Any, Callable\\n 17|from enum import Enum\\n 18|\\n 19|from hermes_cli.config import get_hermes_home\\n 20|from utils import is_truthy_value\\n 21|\\n 22|logger = logging.getLogger(__name__)\\n 23|\\n 24|\\n 25|def _coerce_bool(value: Any, default: bool = True) -> bool:\\n 26| \\\"\\\"\\\"Coerce bool-ish config values, preserving a caller-provided default.\\\"\\\"\\\"\\n 27| if value is None:\\n 28| return default\\n 29| if isinstance(value, str):\\n 30| lowered = value.strip().lower()\\n 31| if lowered in {\\\"true\\\", \\\"1\\\", \\\"yes\\\", \\\"on\\\"}:\\n 32| return True\\n 33| if lowered in {\\\"false\\\", \\\"0\\\", \\\"no\\\", \\\"off\\\"}:\\n 34| return False\\n 35| return default\\n 36| return is_truthy_value(value, default=default)\\n 37|\\n 38|\\n 39|def _coerce_float(value: Any, default: float) -> float:\\n 40| \\\"\\\"\\\"Coerce numeric config values, falling back on malformed input.\\\"\\\"\\\"\\n 41| if value is None:\\n 42| return default\\n 43| try:\\n 44| return float(value)\\n 45| except (TypeError, ValueError):\\n 46| return default\\n 47|\\n 48|\\n 49|def _coerce_int(value: Any, default: int) -> int:\\n 50| \\\"\\\"\\\"Coerce integer config values, falling back on malformed input.\\\"\\\"\\\"\\n 51| if value is None:\\n 52| return default\\n 53| try:\\n 54| return int(value)\\n 55| except (TypeError, ValueError):\\n 56| return default\\n 57|\\n 58|\\n 59|def _normalize_unauthorized_dm_behavior(value: Any, default: str = \\\"pair\\\") -> str:\\n 60| \\\"\\\"\\\"Normalize unauthorized DM behavior to a supported value.\\\"\\\"\\\"\\n 61| if isinstance(value, str):\\n 62| normalized = value.strip().lower()\\n 63| if normalized in {\\\"pair\\\", \\\"ignore\\\"}:\\n 64| return normalized\\n 65| return default\\n 66|\\n 67|\\n 68|def _normalize_notice_delivery(value: Any, default: str = \\\"public\\\") -> str:\\n 69| \\\"\\\"\\\"Normalize notice delivery mode to a supported value.\\\"\\\"\\\"\\n 70| if isinstance(value, str):\\n 71| normalized = value.strip().lower()\\n 72| if normalized in {\\\"public\\\", \\\"private\\\"}:\\n 73| return normalized\\n 74| return default\\n 75|\\n 76|\\n 77|# Module-level cache for bundled platform plugin names (lives outside the\\n 78|# enum so it doesn't become an accidental enum member).\\n 79|_Platform__bundled_plugin_names: Optional[set] = None\\n 80|\\n 81|\\n 82|class Platform(Enum):\\n 83| \\\"\\\"\\\"Supported messaging platforms.\\n 84|\\n 85| Built-in platforms have explicit members. Plugin platforms use dynamic\\n 86| members created on-demand by ``_missing_()`` so that\\n 87| ``Platform(\\\"irc\\\")`` works without modifying this enum. Dynamic members\\n 88| are cached in ``_value2member_map_`` for identity-stable comparisons.\\n 89| \\\"\\\"\\\"\\n 90| LOCAL = \\\"local\\\"\\n 91| TELEGRAM = \\\"telegram\\\"\\n 92| DISCORD = \\\"discord\\\"\\n 93| WHATSAPP = \\\"whatsapp\\\"\\n 94| SLACK = \\\"slack\\\"\\n 95| SIGNAL = \\\"signal\\\"\\n 96| MATTERMOST = \\\"mattermost\\\"\\n 97| MATRIX = \\\"matrix\\\"\\n 98| HOMEASSISTANT = \\\"homeassistant\\\"\\n 99| EMAIL = \\\"email\\\"\\n 100| SMS = \\\"sms\\\"\\n 101| DINGTALK = \\\"dingtalk\\\"\\n 102| API_SERVER = \\\"api_server\\\"\\n 103| WEBHOOK = \\\"webhook\\\"\\n 104| MSGRAPH_WEBHOOK = \\\"msgraph_webhook\\\"\\n 105| FEISHU = \\\"feishu\\\"\\n 106| WECOM = \\\"wecom\\\"\\n 107| WECOM_CALLBACK = \\\"wecom_callback\\\"\\n 108| WEIXIN = \\\"weixin\\\"\\n 109| BLUEBUBBLES = \\\"bluebubbles\\\"\\n 110| QQBOT = \\\"qqbot\\\"\\n 111| YUANBAO = \\\"yuanbao\\\"\\n 112| @classmethod\\n 113| def _missing_(cls, value):\\n 114| \\\"\\\"\\\"Accept unknown platform names only for known plugin adapters.\\n 115|\\n 116| Creates a pseudo-member cached in ``_value2member_map_`` so that\\n 117| ``Platform(\\\"irc\\\") is Platform(\\\"irc\\\")`` holds True (identity-stable).\\n 118| Arbitrary strings are rejected to prevent enum pollution.\\n 119| \\\"\\\"\\\"\\n 120| if not isinstance(value, str) or not value.strip():\\n 121| return None\\n 122| # Normalise to lowercase to avoid case mismatches in config\\n 123| value = value.strip().lower()\\n 124| # Check cache first (another call may have created it already)\\n 125| if value in cls._value2member_map_:\\n 126| return cls._value2member_map_[value]\\n 127|\\n 128| # Only create pseudo-members for bundled plugin platforms (discovered\\n 129| # via filesystem scan) or runtime-registered plugin platforms.\\n 130| global _Platform__bundled_plugin_names\\n 131| if _Platform__bundled_plugin_names is None:\\n 132| _Platform__bundled_plugin_names = cls._scan_bundled_plugin_platforms()\\n 133| if value in _Platform__bundled_plugin_names:\\n 134| pseudo = object.__new__(cls)\\n 135| pseudo._value_ = value\\n 136| pseudo._name_ = value.upper().replace(\\\"-\\\", \\\"_\\\").replace(\\\" \\\", \\\"_\\\")\\n 137| cls._value2member_map_[value] = pseudo\\n 138| cls._member_map_[pseudo._name_] = pseudo\\n 139| return pseudo\\n 140|\\n 141| # Runtime-registered plugins (e.g. user-installed, discovered after\\n 142| # the enum was defined).\\n 143| try:\\n 144| from gateway.platform_registry import platform_registry\\n 145| if platform_registry.is_registered(value):\\n 146| pseudo = object.__new__(cls)\\n 147| pseudo._value_ = value\\n 148| pseudo._name_ = value.upper().replace(\\\"-\\\", \\\"_\\\").replace(\\\" \\\", \\\"_\\\")\\n 149| cls._value2member_map_[value] = pseudo\\n 150| cls._member_map_[pseudo._name_] = pseudo\\n 151| return pseudo\\n 152| except Exception:\\n 153| pass\\n 154|\\n 155| return None\\n 156|\\n 157| @classmethod\\n 158| def _scan_bundled_plugin_platforms(cls) -> set:\\n 159| \\\"\\\"\\\"Return names of bundled platform plugins under ``plugins/platforms/``.\\\"\\\"\\\"\\n 160| names: set = set()\\n 161| try:\\n 162| platforms_dir = Path(__file__).parent.parent / \\\"plugins\\\" / \\\"platforms\\\"\\n 163| if platforms_dir.is_dir():\\n 164| for child in platforms_dir.iterdir():\\n 165| if (\\n 166| child.is_dir()\\n 167| and (child / \\\"__init__.py\\\").exists()\\n 168| and (\\n 169| (child / \\\"plugin.yaml\\\").exists()\\n 170| or (child / \\\"plugin.yml\\\").exists()\\n 171| )\\n 172| ):\\n 173| names.add(child.name.lower())\\n 174| except Exception:\\n 175| pass\\n 176| return names\\n 177|\\n 178|\\n 179|# Snapshot of built-in platform values before any dynamic _missing_ lookups.\\n 180|# Used to distinguish real platforms from arbitrary strings.\\n 181|\", \"total_lines\": 1803, \"file_size\": 86762, \"truncated\": true, \"hint\": \"Use offset=181 to continue reading (showing 1-180 of 1803 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_5rmJsNecxL02K1Cnr8HloCx8" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_rWnWbjMzGowIxXGTXtMj0w9J", "call_id": "call_rWnWbjMzGowIxXGTXtMj0w9J", "response_item_id": "fc_0a7c047520117fa0016a05ad274e7c8191ac95d97712bc1e12", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":4,\"file_glob\":\"*.py\",\"limit\":20,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/config.py\",\"pattern\":\"channel_prompts\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"total_count\": 14, \"matches\": [{\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 800, \"content\": \" if \\\"group_user_allowed_commands\\\" in platform_cfg:\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 801, \"content\": \" bridged[\\\"group_user_allowed_commands\\\"] = platform_cfg[\\\"group_user_allowed_commands\\\"]\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 802, \"content\": \" if plat in {Platform.DISCORD, Platform.SLACK} and \\\"channel_skill_bindings\\\" in platform_cfg:\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 803, \"content\": \" bridged[\\\"channel_skill_bindings\\\"] = platform_cfg[\\\"channel_skill_bindings\\\"]\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 804, \"content\": \" if \\\"channel_prompts\\\" in platform_cfg:\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 805, \"content\": \" channel_prompts = platform_cfg[\\\"channel_prompts\\\"]\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 806, \"content\": \" if isinstance(channel_prompts, dict):\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 807, \"content\": \" bridged[\\\"channel_prompts\\\"] = {str(k): v for k, v in channel_prompts.items()}\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 808, \"content\": \" else:\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 809, \"content\": \" bridged[\\\"channel_prompts\\\"] = channel_prompts\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 810, \"content\": \" enabled_was_explicit = \\\"enabled\\\" in platform_cfg\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 811, \"content\": \" if not bridged and not enabled_was_explicit:\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 812, \"content\": \" continue\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/config.py\", \"line\": 813, \"content\": \" plat_data = platforms_data.setdefault(plat.value, {})\"}]}", "tool_call_id": "call_rWnWbjMzGowIxXGTXtMj0w9J" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_WnVUwiIKD62IhXuzWrmKKqLj", "call_id": "call_WnVUwiIKD62IhXuzWrmKKqLj", "response_item_id": "fc_0a7c047520117fa0016a05ad2a735881919a5f9b9799534855", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":140,\"offset\":360,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/config.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 360| \\\"buffer_threshold\\\": self.buffer_threshold,\\n 361| \\\"cursor\\\": self.cursor,\\n 362| \\\"fresh_final_after_seconds\\\": self.fresh_final_after_seconds,\\n 363| }\\n 364|\\n 365| @classmethod\\n 366| def from_dict(cls, data: Dict[str, Any]) -> \\\"StreamingConfig\\\":\\n 367| if not data:\\n 368| return cls()\\n 369| return cls(\\n 370| enabled=_coerce_bool(data.get(\\\"enabled\\\"), False),\\n 371| transport=data.get(\\\"transport\\\", \\\"auto\\\"),\\n 372| edit_interval=_coerce_float(\\n 373| data.get(\\\"edit_interval\\\"), DEFAULT_STREAMING_EDIT_INTERVAL,\\n 374| ),\\n 375| buffer_threshold=_coerce_int(\\n 376| data.get(\\\"buffer_threshold\\\"), DEFAULT_STREAMING_BUFFER_THRESHOLD,\\n 377| ),\\n 378| cursor=data.get(\\\"cursor\\\", DEFAULT_STREAMING_CURSOR),\\n 379| fresh_final_after_seconds=_coerce_float(\\n 380| data.get(\\\"fresh_final_after_seconds\\\"), 60.0\\n 381| ),\\n 382| )\\n 383|\\n 384|\\n 385|# -----------------------------------------------------------------------------\\n 386|# Built-in platform connection checkers\\n 387|# -----------------------------------------------------------------------------\\n 388|# Each callable receives a ``PlatformConfig`` and returns ``True`` when the\\n 389|# platform is sufficiently configured to be considered \\\"connected\\\". Platforms\\n 390|# that rely on the generic ``token or api_key`` check (Telegram, Discord,\\n 391|# Slack, Matrix, Mattermost, HomeAssistant) do not need an entry here.\\n 392|_PLATFORM_CONNECTED_CHECKERS: dict[Platform, Callable[[PlatformConfig], bool]] = {\\n 393| Platform.WEIXIN: lambda cfg: bool(\\n 394| cfg.extra.get(\\\"account_id\\\") and (cfg.token or cfg.extra.get(\\\"token\\\"))\\n 395| ),\\n 396| Platform.WHATSAPP: lambda cfg: True, # bridge handles auth\\n 397| Platform.SIGNAL: lambda cfg: bool(cfg.extra.get(\\\"http_url\\\")),\\n 398| Platform.EMAIL: lambda cfg: bool(cfg.extra.get(\\\"address\\\")),\\n 399| Platform.SMS: lambda cfg: bool(os.getenv(\\\"TWILIO_ACCOUNT_SID\\\")),\\n 400| Platform.API_SERVER: lambda cfg: True,\\n 401| Platform.WEBHOOK: lambda cfg: True,\\n 402| Platform.MSGRAPH_WEBHOOK: lambda cfg: True,\\n 403| Platform.FEISHU: lambda cfg: bool(cfg.extra.get(\\\"app_id\\\")),\\n 404| Platform.WECOM: lambda cfg: bool(cfg.extra.get(\\\"bot_id\\\")),\\n 405| Platform.WECOM_CALLBACK: lambda cfg: bool(\\n 406| cfg.extra.get(\\\"corp_id\\\") or cfg.extra.get(\\\"apps\\\")\\n 407| ),\\n 408| Platform.BLUEBUBBLES: lambda cfg: bool(\\n 409| cfg.extra.get(\\\"server_url\\\") and cfg.extra.get(\\\"password\\\")\\n 410| ),\\n 411| Platform.QQBOT: lambda cfg: bool(\\n 412| cfg.extra.get(\\\"app_id\\\") and cfg.extra.get(\\\"client_secret\\\")\\n 413| ),\\n 414| Platform.YUANBAO: lambda cfg: bool(\\n 415| cfg.extra.get(\\\"app_id\\\") and cfg.extra.get(\\\"app_secret\\\")\\n 416| ),\\n 417| Platform.DINGTALK: lambda cfg: bool(\\n 418| (cfg.extra.get(\\\"client_id\\\") or os.getenv(\\\"DINGTALK_CLIENT_ID\\\"))\\n 419| and (cfg.extra.get(\\\"client_secret\\\") or os.getenv(\\\"DINGTALK_CLIENT_SECRET\\\"))\\n 420| ),\\n 421|}\\n 422|\\n 423|\\n 424|@dataclass\\n 425|class GatewayConfig:\\n 426| \\\"\\\"\\\"\\n 427| Main gateway configuration.\\n 428| \\n 429| Manages all platform connections, session policies, and delivery settings.\\n 430| \\\"\\\"\\\"\\n 431| # Platform configurations\\n 432| platforms: Dict[Platform, PlatformConfig] = field(default_factory=dict)\\n 433| \\n 434| # Session reset policies by type\\n 435| default_reset_policy: SessionResetPolicy = field(default_factory=SessionResetPolicy)\\n 436| reset_by_type: Dict[str, SessionResetPolicy] = field(default_factory=dict)\\n 437| reset_by_platform: Dict[Platform, SessionResetPolicy] = field(default_factory=dict)\\n 438| \\n 439| # Reset trigger commands\\n 440| reset_triggers: List[str] = field(default_factory=lambda: [\\\"/new\\\", \\\"/reset\\\"])\\n 441|\\n 442| # User-defined quick commands (slash commands that bypass the agent loop)\\n 443| quick_commands: Dict[str, Any] = field(default_factory=dict)\\n 444| \\n 445| # Storage paths\\n 446| sessions_dir: Path = field(default_factory=lambda: get_hermes_home() / \\\"sessions\\\")\\n 447| \\n 448| # Delivery settings\\n 449| always_log_local: bool = True # Always save cron outputs to local files\\n 450|\\n 451| # STT settings\\n 452| stt_enabled: bool = True # Whether to auto-transcribe inbound voice messages\\n 453|\\n 454| # Session isolation in shared chats\\n 455| group_sessions_per_user: bool = True # Isolate group/channel sessions per participant when user IDs are available\\n 456| thread_sessions_per_user: bool = False # When False (default), threads are shared across all participants\\n 457|\\n 458| # Unauthorized DM policy\\n 459| unauthorized_dm_behavior: str = \\\"pair\\\" # \\\"pair\\\" or \\\"ignore\\\"\\n 460|\\n 461| # Streaming configuration\\n 462| streaming: StreamingConfig = field(default_factory=StreamingConfig)\\n 463|\\n 464| # Session store pruning: drop SessionEntry records older than this many\\n 465| # days from the in-memory dict and sessions.json. Keeps the store from\\n 466| # growing unbounded in gateways serving many chats/threads/users over\\n 467| # months. Pruning is invisible to users — if they resume, they get a\\n 468| # fresh session exactly as if the reset policy had fired. 0 = disabled.\\n 469| session_store_max_age_days: int = 90\\n 470|\\n 471| def get_connected_platforms(self) -> List[Platform]:\\n 472| \\\"\\\"\\\"Return list of platforms that are enabled and configured.\\\"\\\"\\\"\\n 473| connected = []\\n 474| for platform, config in self.platforms.items():\\n 475| if not config.enabled:\\n 476| continue\\n 477| if self._is_platform_connected(platform, config):\\n 478| connected.append(platform)\\n 479| return connected\\n 480|\\n 481| def _is_platform_connected(self, platform: Platform, config: PlatformConfig) -> bool:\\n 482| \\\"\\\"\\\"Check whether a single platform is sufficiently configured.\\\"\\\"\\\"\\n 483| # Weixin requires both a token and an account_id (checked first so\\n 484| # the generic token branch doesn't let it through without account_id).\\n 485| if platform == Platform.WEIXIN:\\n 486| return bool(\\n 487| config.extra.get(\\\"account_id\\\")\\n 488| and (config.token or config.extra.get(\\\"token\\\"))\\n 489| )\\n 490|\\n 491| # Generic token/api_key auth covers Telegram, Discord, Slack, etc.\\n 492| if config.token or config.api_key:\\n 493| return True\\n 494|\\n 495| # Platform-specific check\\n 496| checker = _PLATFORM_CONNECTED_CHECKERS.get(platform)\\n 497| if checker is not None:\\n 498| return checker(config)\\n 499|\\n 500|\", \"total_lines\": 1803, \"file_size\": 86762, \"truncated\": true, \"hint\": \"Use offset=500 to continue reading (showing 360-499 of 1803 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_WnVUwiIKD62IhXuzWrmKKqLj" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_PCXqmpVBXZLIFjg1enB8v5rp", "call_id": "call_PCXqmpVBXZLIFjg1enB8v5rp", "response_item_id": "fc_0a7c047520117fa0016a05ad2e86e48191a1195a06707630d9", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":120,\"offset\":181,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/config.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 181|_BUILTIN_PLATFORM_VALUES = frozenset(m.value for m in Platform.__members__.values())\\n 182|\\n 183|\\n 184|@dataclass\\n 185|class HomeChannel:\\n 186| \\\"\\\"\\\"\\n 187| Default destination for a platform.\\n 188| \\n 189| When a cron job specifies deliver=\\\"telegram\\\" without a specific chat ID,\\n 190| messages are sent to this home channel. Thread-aware platforms may also\\n 191| store a thread/topic ID so the bare platform target routes to the exact\\n 192| conversation where /sethome was run.\\n 193| \\\"\\\"\\\"\\n 194| platform: Platform\\n 195| chat_id: str\\n 196| name: str # Human-readable name for display\\n 197| thread_id: Optional[str] = None\\n 198| \\n 199| def to_dict(self) -> Dict[str, Any]:\\n 200| result = {\\n 201| \\\"platform\\\": self.platform.value,\\n 202| \\\"chat_id\\\": self.chat_id,\\n 203| \\\"name\\\": self.name,\\n 204| }\\n 205| if self.thread_id:\\n 206| result[\\\"thread_id\\\"] = self.thread_id\\n 207| return result\\n 208| \\n 209| @classmethod\\n 210| def from_dict(cls, data: Dict[str, Any]) -> \\\"HomeChannel\\\":\\n 211| return cls(\\n 212| platform=Platform(data[\\\"platform\\\"]),\\n 213| chat_id=str(data[\\\"chat_id\\\"]),\\n 214| name=data.get(\\\"name\\\", \\\"Home\\\"),\\n 215| thread_id=str(data[\\\"thread_id\\\"]) if data.get(\\\"thread_id\\\") else None,\\n 216| )\\n 217|\\n 218|\\n 219|@dataclass\\n 220|class SessionResetPolicy:\\n 221| \\\"\\\"\\\"\\n 222| Controls when sessions reset (lose context).\\n 223| \\n 224| Modes:\\n 225| - \\\"daily\\\": Reset at a specific hour each day\\n 226| - \\\"idle\\\": Reset after N minutes of inactivity\\n 227| - \\\"both\\\": Whichever triggers first (daily boundary OR idle timeout)\\n 228| - \\\"none\\\": Never auto-reset (context managed only by compression)\\n 229| \\\"\\\"\\\"\\n 230| mode: str = \\\"both\\\" # \\\"daily\\\", \\\"idle\\\", \\\"both\\\", or \\\"none\\\"\\n 231| at_hour: int = 4 # Hour for daily reset (0-23, local time)\\n 232| idle_minutes: int = 1440 # Minutes of inactivity before reset (24 hours)\\n 233| notify: bool = True # Send a notification to the user when auto-reset occurs\\n 234| notify_exclude_platforms: tuple = (\\\"api_server\\\", \\\"webhook\\\") # Platforms that don't get reset notifications\\n 235| \\n 236| def to_dict(self) -> Dict[str, Any]:\\n 237| return {\\n 238| \\\"mode\\\": self.mode,\\n 239| \\\"at_hour\\\": self.at_hour,\\n 240| \\\"idle_minutes\\\": self.idle_minutes,\\n 241| \\\"notify\\\": self.notify,\\n 242| \\\"notify_exclude_platforms\\\": list(self.notify_exclude_platforms),\\n 243| }\\n 244| \\n 245| @classmethod\\n 246| def from_dict(cls, data: Dict[str, Any]) -> \\\"SessionResetPolicy\\\":\\n 247| # Handle both missing keys and explicit null values (YAML null → None)\\n 248| mode = data.get(\\\"mode\\\")\\n 249| at_hour = data.get(\\\"at_hour\\\")\\n 250| idle_minutes = data.get(\\\"idle_minutes\\\")\\n 251| notify = data.get(\\\"notify\\\")\\n 252| exclude = data.get(\\\"notify_exclude_platforms\\\")\\n 253| return cls(\\n 254| mode=mode if mode is not None else \\\"both\\\",\\n 255| at_hour=at_hour if at_hour is not None else 4,\\n 256| idle_minutes=idle_minutes if idle_minutes is not None else 1440,\\n 257| notify=_coerce_bool(notify, True),\\n 258| notify_exclude_platforms=tuple(exclude) if exclude is not None else (\\\"api_server\\\", \\\"webhook\\\"),\\n 259| )\\n 260|\\n 261|\\n 262|@dataclass\\n 263|class PlatformConfig:\\n 264| \\\"\\\"\\\"Configuration for a single messaging platform.\\\"\\\"\\\"\\n 265| enabled: bool = False\\n 266| token: Optional[str] = None # Bot token (Telegram, Discord)\\n 267| api_key: Optional[str] = None # API key if different from token\\n 268| home_channel: Optional[HomeChannel] = None\\n 269| \\n 270| # Reply threading mode (Telegram/Slack)\\n 271| # - \\\"off\\\": Never thread replies to original message\\n 272| # - \\\"first\\\": Only first chunk threads to user's message (default)\\n 273| # - \\\"all\\\": All chunks in multi-part replies thread to user's message\\n 274| reply_to_mode: str = \\\"first\\\"\\n 275|\\n 276| # Whether the gateway is allowed to send \\\"♻️ Gateway online\\\" /\\n 277| # \\\"♻ Gateway restarted\\\" lifecycle notifications on this platform.\\n 278| # Default True preserves prior behavior. Set False on platforms used\\n 279| # by end users (e.g. Slack) where operator-flavored restart pings are\\n 280| # noise; keep True for back-channels where the operator wants them.\\n 281| gateway_restart_notification: bool = True\\n 282|\\n 283| # Platform-specific settings\\n 284| extra: Dict[str, Any] = field(default_factory=dict)\\n 285|\\n 286| def to_dict(self) -> Dict[str, Any]:\\n 287| result = {\\n 288| \\\"enabled\\\": self.enabled,\\n 289| \\\"extra\\\": self.extra,\\n 290| \\\"reply_to_mode\\\": self.reply_to_mode,\\n 291| \\\"gateway_restart_notification\\\": self.gateway_restart_notification,\\n 292| }\\n 293| if self.token:\\n 294| result[\\\"token\\\"] = self.token\\n 295| if self.api_key:\\n 296| result[\\\"api_key\\\"] = self.api_key\\n 297| if self.home_channel:\\n 298| result[\\\"home_channel\\\"] = self.home_channel.to_dict()\\n 299| return result\\n 300|\\n 301|\", \"total_lines\": 1803, \"file_size\": 86762, \"truncated\": true, \"hint\": \"Use offset=301 to continue reading (showing 181-300 of 1803 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_PCXqmpVBXZLIFjg1enB8v5rp" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Y599kj0WTrpTjDI24K08GXiG", "call_id": "call_Y599kj0WTrpTjDI24K08GXiG", "response_item_id": "fc_0a7c047520117fa0016a05ad331ff0819189a0ece5399a74c7", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":100,\"offset\":520,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 520| \\\"\\\"\\\"Re-validate each redirect target to prevent redirect-based SSRF.\\n 521|\\n 522| Without this, an attacker can host a public URL that 302-redirects to\\n 523| http://169.254.169.254/ and bypass the pre-flight is_safe_url() check.\\n 524|\\n 525| Must be async because httpx.AsyncClient awaits response event hooks.\\n 526| \\\"\\\"\\\"\\n 527| if response.is_redirect and response.next_request:\\n 528| redirect_url = str(response.next_request.url)\\n 529| from tools.url_safety import is_safe_url\\n 530| if not is_safe_url(redirect_url):\\n 531| raise ValueError(\\n 532| f\\\"Blocked redirect to private/internal address: {safe_url_for_log(redirect_url)}\\\"\\n 533| )\\n 534|\\n 535|\\n 536|# ---------------------------------------------------------------------------\\n 537|# Image cache utilities\\n 538|#\\n 539|# When users send images on messaging platforms, we download them to a local\\n 540|# cache directory so they can be analyzed by the vision tool (which accepts\\n 541|# local file paths). This avoids issues with ephemeral platform URLs\\n 542|# (e.g. Telegram file URLs expire after ~1 hour).\\n 543|# ---------------------------------------------------------------------------\\n 544|\\n 545|# Default location: {HERMES_HOME}/cache/images/ (legacy: image_cache/)\\n 546|IMAGE_CACHE_DIR = get_hermes_dir(\\\"cache/images\\\", \\\"image_cache\\\")\\n 547|\\n 548|\\n 549|def get_image_cache_dir() -> Path:\\n 550| \\\"\\\"\\\"Return the image cache directory, creating it if it doesn't exist.\\\"\\\"\\\"\\n 551| IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True)\\n 552| return IMAGE_CACHE_DIR\\n 553|\\n 554|\\n 555|def _looks_like_image(data: bytes) -> bool:\\n 556| \\\"\\\"\\\"Return True if *data* starts with a known image magic-byte sequence.\\\"\\\"\\\"\\n 557| if len(data) < 4:\\n 558| return False\\n 559| if data[:8] == b\\\"\\\\x89PNG\\\\r\\\\n\\\\x1a\\\\n\\\":\\n 560| return True\\n 561| if data[:3] == b\\\"\\\\xff\\\\xd8\\\\xff\\\":\\n 562| return True\\n 563| if data[:6] in {b\\\"GIF87a\\\", b\\\"GIF89a\\\"}:\\n 564| return True\\n 565| if data[:2] == b\\\"BM\\\":\\n 566| return True\\n 567| if data[:4] == b\\\"RIFF\\\" and len(data) >= 12 and data[8:12] == b\\\"WEBP\\\":\\n 568| return True\\n 569| return False\\n 570|\\n 571|\\n 572|def cache_image_from_bytes(data: bytes, ext: str = \\\".jpg\\\") -> str:\\n 573| \\\"\\\"\\\"\\n 574| Save raw image bytes to the cache and return the absolute file path.\\n 575|\\n 576| Args:\\n 577| data: Raw image bytes.\\n 578| ext: File extension including the dot (e.g. \\\".jpg\\\", \\\".png\\\").\\n 579|\\n 580| Returns:\\n 581| Absolute path to the cached image file as a string.\\n 582|\\n 583| Raises:\\n 584| ValueError: If *data* does not look like a valid image (e.g. an HTML\\n 585| error page returned by the upstream server).\\n 586| \\\"\\\"\\\"\\n 587| if not _looks_like_image(data):\\n 588| snippet = data[:80].decode(\\\"utf-8\\\", errors=\\\"replace\\\")\\n 589| raise ValueError(\\n 590| f\\\"Refusing to cache non-image data as {ext} \\\"\\n 591| f\\\"(starts with: {snippet!r})\\\"\\n 592| )\\n 593| cache_dir = get_image_cache_dir()\\n 594| filename = f\\\"img_{uuid.uuid4().hex[:12]}{ext}\\\"\\n 595| filepath = cache_dir / filename\\n 596| filepath.write_bytes(data)\\n 597| return str(filepath)\\n 598|\\n 599|\\n 600|async def cache_image_from_url(url: str, ext: str = \\\".jpg\\\", retries: int = 2) -> str:\\n 601| \\\"\\\"\\\"\\n 602| Download an image from a URL and save it to the local cache.\\n 603|\\n 604| Retries on transient failures (timeouts, 429, 5xx) with exponential\\n 605| backoff so a single slow CDN response doesn't lose the media.\\n 606|\\n 607| Args:\\n 608| url: The HTTP/HTTPS URL to download from.\\n 609| ext: File extension including the dot (e.g. \\\".jpg\\\", \\\".png\\\").\\n 610| retries: Number of retry attempts on transient failures.\\n 611|\\n 612| Returns:\\n 613| Absolute path to the cached image file as a string.\\n 614|\\n 615| Raises:\\n 616| ValueError: If the URL targets a private/internal network (SSRF protection).\\n 617| \\\"\\\"\\\"\\n 618| from tools.url_safety import is_safe_url\\n 619| if not is_safe_url(url):\\n 620|\", \"total_lines\": 3716, \"file_size\": 156587, \"truncated\": true, \"hint\": \"Use offset=620 to continue reading (showing 520-619 of 3716 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Y599kj0WTrpTjDI24K08GXiG" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_gL6klW2B3aXtq0tJJw6lsQiI", "call_id": "call_gL6klW2B3aXtq0tJJw6lsQiI", "response_item_id": "fc_0a7c047520117fa0016a05ad39fa8c8191a7bd2cb9030b65c2", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":4,\"file_glob\":\"*.py\",\"limit\":40,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\",\"pattern\":\"channel_prompts\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"total_count\": 25, \"matches\": [{\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 951, \"content\": \" # Auto-loaded skill(s) for topic/channel bindings (e.g., Telegram DM Topics,\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 952, \"content\": \" # Discord channel_skill_bindings). A single name or ordered list.\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 953, \"content\": \" auto_skill: Optional[str | list[str]] = None\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 954, \"content\": \"\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 955, \"content\": \" # Per-channel ephemeral system prompt (e.g. Discord channel_prompts).\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 956, \"content\": \" # Applied at API call time and never persisted to transcript history.\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 957, \"content\": \" channel_prompt: Optional[str] = None\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 958, \"content\": \" \"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 959, \"content\": \" # Internal flag — set for synthetic events (e.g. background process\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1177, \"content\": \" parent_id: str | None = None,\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1178, \"content\": \") -> str | None:\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1179, \"content\": \" \\\"\\\"\\\"Resolve a per-channel ephemeral prompt from platform config.\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1180, \"content\": \"\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1181, \"content\": \" Looks up ``channel_prompts`` in the adapter's ``config.extra`` dict.\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1182, \"content\": \" Prefers an exact match on *channel_id*; falls back to *parent_id*\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1183, \"content\": \" (useful for forum threads / child channels inheriting a parent prompt).\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1184, \"content\": \"\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1185, \"content\": \" Returns the prompt string, or None if no match is found. Blank/whitespace-\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1186, \"content\": \" only prompts are treated as absent.\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1187, \"content\": \" \\\"\\\"\\\"\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1188, \"content\": \" prompts = config_extra.get(\\\"channel_prompts\\\") or {}\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1189, \"content\": \" if not isinstance(prompts, dict):\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1190, \"content\": \" return None\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1191, \"content\": \"\"}, {\"path\": \"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1192, \"content\": \" for key in (channel_id, parent_id):\"}]}", "tool_call_id": "call_gL6klW2B3aXtq0tJJw6lsQiI" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Sm9iVaOnMWVwHF87lPjqL5nE", "call_id": "call_Sm9iVaOnMWVwHF87lPjqL5nE", "response_item_id": "fc_0a7c047520117fa0016a05ad3d41d48191aa444b8e7b5e3ab6", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":95,\"offset\":930,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 930| raw_message: Any = None\\n 931| message_id: Optional[str] = None\\n 932|\\n 933| # Platform-specific update identifier. For Telegram this is the\\n 934| # ``update_id`` from the PTB Update wrapper; other platforms currently\\n 935| # ignore it. Used by ``/restart`` to record the triggering update so the\\n 936| # new gateway can advance the Telegram offset past it and avoid processing\\n 937| # the same ``/restart`` twice if PTB's graceful-shutdown ACK times out\\n 938| # (\\\"Error while calling `get_updates` one more time to mark all fetched\\n 939| # updates\\\" in gateway.log).\\n 940| platform_update_id: Optional[int] = None\\n 941| \\n 942| # Media attachments\\n 943| # media_urls: local file paths (for vision tool access)\\n 944| media_urls: List[str] = field(default_factory=list)\\n 945| media_types: List[str] = field(default_factory=list)\\n 946| \\n 947| # Reply context\\n 948| reply_to_message_id: Optional[str] = None\\n 949| reply_to_text: Optional[str] = None # Text of the replied-to message (for context injection)\\n 950| \\n 951| # Auto-loaded skill(s) for topic/channel bindings (e.g., Telegram DM Topics,\\n 952| # Discord channel_skill_bindings). A single name or ordered list.\\n 953| auto_skill: Optional[str | list[str]] = None\\n 954|\\n 955| # Per-channel ephemeral system prompt (e.g. Discord channel_prompts).\\n 956| # Applied at API call time and never persisted to transcript history.\\n 957| channel_prompt: Optional[str] = None\\n 958| \\n 959| # Internal flag — set for synthetic events (e.g. background process\\n 960| # completion notifications) that must bypass user authorization checks.\\n 961| internal: bool = False\\n 962|\\n 963| # Timestamps\\n 964| timestamp: datetime = field(default_factory=datetime.now)\\n 965| \\n 966| def is_command(self) -> bool:\\n 967| \\\"\\\"\\\"Check if this is a command message (e.g., /new, /reset).\\\"\\\"\\\"\\n 968| return self.text.startswith(\\\"/\\\")\\n 969| \\n 970| def get_command(self) -> Optional[str]:\\n 971| \\\"\\\"\\\"Extract command name if this is a command message.\\\"\\\"\\\"\\n 972| if not self.is_command():\\n 973| return None\\n 974| # Split on space and get first word, strip the /\\n 975| parts = self.text.split(maxsplit=1)\\n 976| raw = parts[0][1:].lower() if parts else None\\n 977| if raw and \\\"@\\\" in raw:\\n 978| raw = raw.split(\\\"@\\\", 1)[0]\\n 979| # Reject file paths: valid command names never contain /\\n 980| if raw and \\\"/\\\" in raw:\\n 981| return None\\n 982| return raw\\n 983| \\n 984| def get_command_args(self) -> str:\\n 985| \\\"\\\"\\\"Get the arguments after a command.\\\"\\\"\\\"\\n 986| if not self.is_command():\\n 987| return self.text\\n 988| parts = self.text.split(maxsplit=1)\\n 989| args = parts[1] if len(parts) > 1 else \\\"\\\"\\n 990| # iOS auto-corrects -- to — (em dash) and - to – (en dash)\\n 991| args = args.replace(\\\"\\\\u2014\\\\u2014\\\", \\\"--\\\").replace(\\\"\\\\u2014\\\", \\\"--\\\").replace(\\\"\\\\u2013\\\", \\\"-\\\")\\n 992| return args\\n 993|\\n 994|\\n 995|_PLAINTEXT_GATEWAY_RESTART_PATTERNS: tuple[re.Pattern[str], ...] = (\\n 996| re.compile(r\\\"^(?:please\\\\s+)?restart\\\\s+(?:the\\\\s+)?gateway[.!?\\\\s]*$\\\", re.IGNORECASE),\\n 997| re.compile(r\\\"^(?:please\\\\s+)?restart\\\\s+(?:the\\\\s+)?hermes\\\\s+gateway[.!?\\\\s]*$\\\", re.IGNORECASE),\\n 998| re.compile(r\\\"^(?:please\\\\s+)?restart\\\\s+hermes[.!?\\\\s]*$\\\", re.IGNORECASE),\\n 999|)\\n 1000|\\n 1001|\\n 1002|def coerce_plaintext_gateway_command(event: \\\"MessageEvent\\\") -> None:\\n 1003| \\\"\\\"\\\"Rewrite a tiny set of DM plaintext admin phrases into slash commands.\\n 1004|\\n 1005| This keeps high-impact operational phrases like ``restart gateway`` out of\\n 1006| the LLM/tool path, where they can trigger a self-restart from inside the\\n 1007| currently running agent and leave the gateway stuck in ``draining`` while it\\n 1008| waits for that same agent to finish.\\n 1009|\\n 1010| Scope is intentionally narrow: DM text messages only, exact restart-style\\n 1011| phrases only. Group chats keep natural-language semantics.\\n 1012| \\\"\\\"\\\"\\n 1013| try:\\n 1014| if event is None or event.message_type != MessageType.TEXT:\\n 1015| return\\n 1016| text = (event.text or \\\"\\\").strip()\\n 1017| if not text or text.startswith(\\\"/\\\"):\\n 1018| return\\n 1019| source = getattr(event, \\\"source\\\", None)\\n 1020| if getattr(source, \\\"chat_type\\\", None) != \\\"dm\\\":\\n 1021| return\\n 1022| for pattern in _PLAINTEXT_GATEWAY_RESTART_PATTERNS:\\n 1023| if pattern.match(text):\\n 1024| event.text = \\\"/restart\\\"\\n 1025|\", \"total_lines\": 3716, \"file_size\": 156587, \"truncated\": true, \"hint\": \"Use offset=1025 to continue reading (showing 930-1024 of 3716 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Sm9iVaOnMWVwHF87lPjqL5nE" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_wEQJPZspQz2CYrIDT4p1q9Hu", "call_id": "call_wEQJPZspQz2CYrIDT4p1q9Hu", "response_item_id": "fc_0a7c047520117fa0016a05ad40d15c81919ee350cc6023a5a2", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":70,\"offset\":1170,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/platforms/base.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 1170|# ``None`` when the response was already delivered (e.g. via streaming).\\n 1171|MessageHandler = Callable[[MessageEvent], Awaitable[Optional[Union[str, \\\"EphemeralReply\\\"]]]]\\n 1172|\\n 1173|\\n 1174|def resolve_channel_prompt(\\n 1175| config_extra: dict,\\n 1176| channel_id: str,\\n 1177| parent_id: str | None = None,\\n 1178|) -> str | None:\\n 1179| \\\"\\\"\\\"Resolve a per-channel ephemeral prompt from platform config.\\n 1180|\\n 1181| Looks up ``channel_prompts`` in the adapter's ``config.extra`` dict.\\n 1182| Prefers an exact match on *channel_id*; falls back to *parent_id*\\n 1183| (useful for forum threads / child channels inheriting a parent prompt).\\n 1184|\\n 1185| Returns the prompt string, or None if no match is found. Blank/whitespace-\\n 1186| only prompts are treated as absent.\\n 1187| \\\"\\\"\\\"\\n 1188| prompts = config_extra.get(\\\"channel_prompts\\\") or {}\\n 1189| if not isinstance(prompts, dict):\\n 1190| return None\\n 1191|\\n 1192| for key in (channel_id, parent_id):\\n 1193| if not key:\\n 1194| continue\\n 1195| prompt = prompts.get(key)\\n 1196| if prompt is None:\\n 1197| continue\\n 1198| prompt = str(prompt).strip()\\n 1199| if prompt:\\n 1200| return prompt\\n 1201| return None\\n 1202|\\n 1203|\\n 1204|def resolve_channel_skills(\\n 1205| config_extra: dict,\\n 1206| channel_id: str,\\n 1207| parent_id: str | None = None,\\n 1208|) -> list[str] | None:\\n 1209| \\\"\\\"\\\"Resolve auto-loaded skill(s) for a channel/thread from platform config.\\n 1210|\\n 1211| Looks up ``channel_skill_bindings`` in the adapter's ``config.extra`` dict.\\n 1212|\\n 1213| Config format::\\n 1214|\\n 1215| channel_skill_bindings:\\n 1216| - id: \\\"C0123\\\" # Slack channel ID or Discord channel/forum ID\\n 1217| skills: [\\\"skill-a\\\", \\\"skill-b\\\"]\\n 1218| - id: \\\"D0ABCDE\\\"\\n 1219| skill: \\\"solo-skill\\\" # single string also accepted\\n 1220|\\n 1221| Prefers an exact match on *channel_id*; falls back to *parent_id*\\n 1222| (useful for forum threads / Slack threads inheriting the parent channel's\\n 1223| binding).\\n 1224|\\n 1225| Returns a deduplicated list of skill names (order preserved), or None if\\n 1226| no match is found.\\n 1227| \\\"\\\"\\\"\\n 1228| bindings = config_extra.get(\\\"channel_skill_bindings\\\") or []\\n 1229| if not isinstance(bindings, list) or not bindings:\\n 1230| return None\\n 1231| ids_to_check: set[str] = set()\\n 1232| if channel_id:\\n 1233| ids_to_check.add(str(channel_id))\\n 1234| if parent_id:\\n 1235| ids_to_check.add(str(parent_id))\\n 1236| if not ids_to_check:\\n 1237| return None\\n 1238| for entry in bindings:\\n 1239| if not isinstance(entry, dict):\\n 1240|\", \"total_lines\": 3716, \"file_size\": 156587, \"truncated\": true, \"hint\": \"Use offset=1240 to continue reading (showing 1170-1239 of 3716 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_wEQJPZspQz2CYrIDT4p1q9Hu" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_hjmMKli2stzjkry4Z4Lrs3KP", "call_id": "call_hjmMKli2stzjkry4Z4Lrs3KP", "response_item_id": "fc_0a7c047520117fa0016a05ad44d1988191ae627621c01336c8", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":3,\"file_glob\":\"*.py\",\"limit\":30,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/platforms/telegram.py\",\"pattern\":\"resolve_channel_prompt|channel_prompt|message_thread_id\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_hjmMKli2stzjkry4Z4Lrs3KP" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_gYLepDzriyBre49bWfs4P4Dy", "call_id": "call_gYLepDzriyBre49bWfs4P4Dy", "response_item_id": "fc_0a7c047520117fa0016a05ad4de94081918a344d5c3aec0efa", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from pathlib import Path\\np=Path('/home/agent/.hermes/hermes-agent/gateway/platforms/telegram.py')\\nlines=p.read_text(errors='ignore').splitlines()\\nfor i,l in enumerate(lines,1):\\n if any(t in l for t in ['message_thread_id','channel_prompt','resolve_channel_prompt','thread_id']):\\n print(f'{i}|{l[:220]}')\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBa1NqZrYNJ-fpz7xIlgKvgBAE9BO2rY5nuHcv4vDKNXIgpHuP0Y6CNHlCqA2BZtXNhg_KhTR3lDF4pH4Qo_bO7KHcdS82PAZF-_51YrpOLpgh61ti1Kst0HCLLsLbbsAu5txXBUlNTVG4ff2nKiKpiyFiYw0LbP-HM3Q1c-S73LNgyLmCovTfVjFowhJJG7b0FPjBwrkl5MnLjFaVHVIYjb4D74OcuuSxCvfOLlrlguci32G4y3rn3pD-uOesHpdjF7KVzvN1uBr1GCc4MaEMA8SmDblsekptIXrxhfBiCxaU-YAqdaRG_LTkDM6ODJX6HZrzTabhFE5dc8TJsNVcyqiuZBXYD2Dg3DrmODFIIsxNiMmVkMFW_K115K7hcrMSn4ZJI2o9w4Q4I-D_ia_asH0XzfmexivAzauo4Wp0ozKIlzGmayGT0NZHEE321ZMU6HfKlyMqRX0kSQbPhTJE2e-GhUkKfS0lSY1-4CSZn4BHMAdxMpN-tWO-PDdjjOUsruyQUTXUWDfXedSXNeqTptttEwF0JEHHFk6LizWTCXvwRjzPPsoP2EGcCIgTNYUZiaLzV4ElTc4wv1ZJRYWciAnOkEb9n3wa-1WvlAHuz92IASeEbJwz2MjOOae8NJllys1nwrSzZE0QAMtA3gYxeHEY8eM2GMVcgduf_UZ-jvNTvhOSLAfc5YtgS8sJnXspBTZv_ME4lInPQUI0l_-nxG4vfmsOe3S6Smk46KTpIOn48N7s-mafyn2OR3E5dkwGic_JgLoK8L--TpzVV9ehjI4in-8HCXvq05QCopJI-wve121OKnRGVvb-9t4NXoNJq60lIz58E86zCDX6JqVkHUFVyayYw_5pTV2i06MspKhCYOYN7P-B0ti1ZuAwRHTQRU8RLu3WiMlFt2VuFd93CMHZSW6mvTgT6_QGCJTcoPX4HbX2W2LgvQgt455ggkbtl7tQ-hyYciALs5AeDV6mVmlzA==", "id": "rs_0a7c047520117fa0016a05ad4d47988191815feeebacaf2358", "summary": [] } ] }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"323| - Forum topics (thread_id support)\\n419| # DM Topics: map of topic_name -> message_thread_id (populated at startup)\\n464| thread_id: Optional[str] = None,\\n482| normalized_chat_type = \\\"forum\\\" if thread_id is not None else \\\"group\\\"\\n490| thread_id=str(thread_id) if thread_id is not None else None,\\n507| def _metadata_thread_id(cls, metadata: Optional[Dict[str, Any]]) -> Optional[str]:\\n510| thread_id = metadata.get(\\\"thread_id\\\") or metadata.get(\\\"message_thread_id\\\")\\n511| return str(thread_id) if thread_id is not None else None\\n543| thread_id: Optional[str],\\n549| Supergroup/forum topics use ``message_thread_id``. True Bot API Direct\\n561| return {\\\"message_thread_id\\\": cls._message_thread_id_for_send(thread_id)}\\n565| \\\"message_thread_id\\\": None,\\n568| return {\\\"message_thread_id\\\": cls._message_thread_id_for_send(thread_id)}\\n571| def _message_thread_id_for_send(cls, thread_id: Optional[str]) -> Optional[int]:\\n572| if not thread_id or str(thread_id) == cls._GENERAL_TOPIC_THREAD_ID:\\n574| return int(thread_id)\\n577| def _message_thread_id_for_typing(cls, thread_id: Optional[str]) -> Optional[int]:\\n578| # Asymmetric with _message_thread_id_for_send on purpose. Telegram's\\n580| # topic) differently: sends reject message_thread_id=1 and must omit it,\\n581| # but sendChatAction needs message_thread_id=1 to place the typing\\n584| # sends still map \\\"1\\\" → None via _message_thread_id_for_send.\\n585| if not thread_id:\\n587| return int(thread_id)\\n648| retry_kwargs.pop(\\\"message_thread_id\\\", None)\\n938| Returns the message_thread_id on success, None on failure.\\n950| thread_id = topic.message_thread_id\\n952| \\\"[%s] Created DM topic '%s' in chat %s -> thread_id=%s\\\",\\n953| self.name, name, chat_id, thread_id,\\n955| return thread_id\\n988| ``message_thread_id`` as a string, or ``None`` on failure.\\n994| thread_id = await self._create_dm_topic(chat_id_int, name=name)\\n995| return str(thread_id) if thread_id else None\\n1000| thread_id: int,\\n1012| message_thread_id=int(thread_id),\\n1016| \\\"[%s] Renamed DM topic in chat %s thread_id=%s -> '%s'\\\",\\n1017| self.name, chat_id, thread_id, name,\\n1020| def _persist_dm_topic_thread_id(self, chat_id: int, topic_name: str, thread_id: int) -> None:\\n1021| \\\"\\\"\\\"Save a newly created thread_id back into config.yaml so it persists across restarts.\\\"\\\"\\\"\\n1026| logger.warning(\\\"[%s] Config file not found at %s, cannot persist thread_id\\\", self.name, config_path)\\n1048| if t.get(\\\"name\\\") == topic_name and not t.get(\\\"thread_id\\\"):\\n1049| t[\\\"thread_id\\\"] = thread_id\\n1072| \\\"[%s] Persisted thread_id=%s for topic '%s' in config.yaml\\\",\\n1073| self.name, thread_id, topic_name,\\n1076| logger.warning(\\\"[%s] Failed to persist thread_id to config: %s\\\", self.name, e, exc_info=True)\\n1086| {\\\"name\\\": \\\"General\\\", \\\"icon_color\\\": 7322096, \\\"thread_id\\\": 100},\\n1092| If a topic already has a thread_id in the config (persisted from a previous\\n1094| Only topics without a thread_id are created via the API, and their thread_id\\n1118| # If thread_id is already persisted in config, just load into cache\\n1119| existing_thread_id = topic_conf.get(\\\"thread_id\\\")\\n1120| if existing_thread_id:\\n1121| self._dm_topics[cache_key] = int(existing_thread_id)\\n1123| \\\"[%s] DM topic loaded from config: %s -> thread_id=%s\\\",\\n1124| self.name, cache_key, existing_thread_id,\\n1128| # No persisted thread_id — create the topic via API\\n1132| thread_id = await self._create_dm_topic(\\n1139| if thread_id:\\n1140| self._dm_topics[cache_key] = thread_id\\n1142| \\\"[%s] DM topic cached: %s -> thread_id=%s\\\",\\n1143| self.name, cache_key, thread_id,\\n1145| # Persist thread_id to config so we don't recreate on next restart\\n1146| self._persist_dm_topic_thread_id(int(chat_id), topic_name, thread_id)\\n1153| message_thread_id=thread_id,\\n1522| thread_id = self._metadata_thread_id(metadata)\\n1552| thread_id,\\n1556| effective_thread_id = thread_kwargs.get(\\\"message_thread_id\\\")\\n1595| if self._is_thread_not_found_error(send_err) and effective_thread_id is not None:\\n1597| # message_thread_id so the message still\\n1600| \\\"[%s] Thread %s not found, retrying without message_thread_id\\\",\\n1601| self.name, effective_thread_id,\\n1603| effective_thread_id = None\\n1604| thread_kwargs = {\\\"message_thread_id\\\": None}\\n1610| # sends, message_thread_id is only valid with\\n1619| effective_thread_id = None\\n1623| thread_id,\\n1627| effective_thread_id = thread_kwargs.get(\\\"message_thread_id\\\")\\n2006| thread_id = self._metadata_thread_id(metadata)\\n2007| if thread_id is not None:\\n2008| kwargs[\\\"message_thread_id\\\"] = thread_id\\n2028| \\\"\\\"\\\"Send a Telegram message, retrying once without message_thread_id\\n2032| update prompts) that can carry a stale thread_id from a DM\\n2040| message_thread_id = kwargs.get(\\\"message_thread_id\\\")\\n2045| message_thread_id is not None\\n2050| \\\"[%s] Thread %s not found for control message, retrying without message_thread_id\\\",\\n2052| message_thread_id,\\n2055| retry_kwargs.pop(\\\"message_thread_id\\\", None)\\n2080| thread_id = self._metadata_thread_id(metadata)\\n2090| thread_id,\\n2123| thread_id = self._metadata_thread_id(metadata)\\n2156| thread_id,\\n2195| thread_id = self._metadata_thread_id(metadata)\\n2208| thread_id,\\n2246| thread_id = self._metadata_thread_id(metadata)\\n2282| thread_id,\\n2344| thread_id = metadata.get(\\\"thread_id\\\") if metadata else None\\n2354| thread_id,\\n2610| query_thread_id = getattr(query_message, \\\"message_thread_id\\\", None)\\n2637| thread_id=str(query_thread_id) if query_thread_id is not None else None,\\n2694| thread_id=str(query_thread_id) if query_thread_id is not None else None,\\n2735| # use message_thread_id; Telegram private DM-topic lanes\\n2737| thread_id = getattr(query.message, \\\"message_thread_id\\\", None)\\n2753| if thread_id is not None and is_private_chat and prompt_message_id is not None:\\n2759| str(thread_id),\\n2761| \\\"thread_id\\\": str(thread_id),\\n2767| elif thread_id is not None:\\n2771| str(thread_id),\\n2772| {\\\"thread_id\\\": str(thread_id)},\\n2792| thread_id=str(query_thread_id) if query_thread_id is not None else None,\\n2894| thread_id=str(query_thread_id) if query_thread_id is not None else None,\\n2959| _voice_thread = self._metadata_thread_id(metadata)\\n2984| _audio_thread = self._metadata_thread_id(metadata)\\n3079| _thread = self._metadata_thread_id(metadata)\\n3178| _thread = self._metadata_thread_id(metadata)\\n3272| _thread = self._metadata_thread_id(metadata)\\n3320| _thread = self._metadata_thread_id(metadata)\\n3372| _photo_thread = self._metadata_thread_id(metadata)\\n3454| _anim_thread = self._metadata_thread_id(metadata)\\n3491| _typing_thread = self._metadata_thread_id(metadata)\\n3493| # lanes: send_chat_action only accepts message_thread_id, which\\n3500| message_thread_id = self._message_thread_id_for_typing(_typing_thread)\\n3501| # No retry-without-thread fallback here: _message_thread_id_for_typing\\n3509| message_thread_id=message_thread_id,\\n3946| thread_id = getattr(message, \\\"message_thread_id\\\", None)\\n3947| if thread_id is not None:\\n3949| if int(thread_id) in self._telegram_ignored_threads():\\n3952| logger.warning(\\\"[%s] Ignoring non-numeric Telegram message_thread_id: %r\\\", self.name, thread_id)\\n4520| \\\"\\\"\\\"Re-read dm_topics from config.yaml and load any new thread_ids into cache.\\n4544| # Update in-memory config and cache any new thread_ids\\n4551| tid = t.get(\\\"thread_id\\\")\\n4558| \\\"[%s] Hot-loaded DM topic from config: %s -> thread_id=%s\\\",\\n4564| def _get_dm_topic_info(self, chat_id: str, thread_id: Optional[str]) -> Optional[Dict[str, Any]]:\\n4565| \\\"\\\"\\\"Look up DM topic config by chat_id and thread_id.\\n4567| Returns the topic config dict (name, skill, etc.) if this thread_id\\n4570| if not thread_id:\\n4573| thread_id_int = int(thread_id)\\n4577| if cached_tid == thread_id_int and key.startswith(f\\\"{chat_id}:\\\"):\\n4592| if cached_tid == thread_id_int and key.startswith(f\\\"{chat_id}:\\\"):\\n4603| def _cache_dm_topic_from_message(self, chat_id: str, thread_id: str, topic_name: str) -> None:\\n4604| \\\"\\\"\\\"Cache a thread_id -> topic_name mapping discovered from an incoming message.\\\"\\\"\\\"\\n4607| self._dm_topics[cache_key] = int(thread_id)\\n4609| \\\"[%s] Cached DM topic from message: %s -> thread_id=%s\\\",\\n4610| self.name, cache_key, thread_id,\\n4638| # (is_topic_message=True). Telegram puts message_thread_id on every\\n4643| thread_id_raw = message.message_thread_id\\n4645| thread_id_str = None\\n4646| if thread_id_raw is not None:\\n4648| thread_id_str = str(thread_id_raw)\\n4650| thread_id_str = str(thread_id_raw)\\n4654| if chat_type == \\\"group\\\" and thread_id_str is None and getattr(chat, \\\"is_forum\\\", False):\\n4655| thread_id_str = self._GENERAL_TOPIC_THREAD_ID\\n4659| if chat_type == \\\"dm\\\" and thread_id_str:\\n4660| topic_info = self._get_dm_topic_info(str(chat.id), thread_id_str)\\n4669| self._cache_dm_topic_from_message(str(chat.id), thread_id_str, created_name)\\n4673| elif chat_type == \\\"group\\\" and thread_id_str:\\n4679| tid = topic.get(\\\"thread_id\\\")\\n4680| if tid is not None and str(tid) == thread_id_str:\\n4693| thread_id=thread_id_str,\\n4721| from gateway.platforms.base import resolve_channel_prompt\\n4723| _channel_prompt = resolve_channel_prompt(\\n4725| thread_id_str or _chat_id_str,\\n4726| _chat_id_str if thread_id_str else None,\\n4739| channel_prompt=_channel_prompt,\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.21}", "tool_call_id": "call_gYLepDzriyBre49bWfs4P4Dy" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_H1ytutY0DiL3C5jLeUGAvxNE", "call_id": "call_H1ytutY0DiL3C5jLeUGAvxNE", "response_item_id": "fc_0a7c047520117fa0016a05ad548580819192a11af39df27de0", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":90,\"offset\":4700,\"path\":\"/home/agent/.hermes/hermes-agent/gateway/platforms/telegram.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 4700| # multi-section message doesn't get the whole replied-to message\\n 4701| # injected into the agent's context — which can cause the agent\\n 4702| # to act on unrelated actionable-looking text the user didn't\\n 4703| # quote (#22619). Fall back to the full replied-to message text\\n 4704| # / caption when no native quote is present.\\n 4705| reply_to_id = None\\n 4706| reply_to_text = None\\n 4707| if message.reply_to_message:\\n 4708| reply_to_id = str(message.reply_to_message.message_id)\\n 4709| quote = getattr(message, \\\"quote\\\", None)\\n 4710| quote_text = getattr(quote, \\\"text\\\", None) if quote is not None else None\\n 4711| if quote_text:\\n 4712| reply_to_text = quote_text\\n 4713| else:\\n 4714| reply_to_text = (\\n 4715| message.reply_to_message.text\\n 4716| or message.reply_to_message.caption\\n 4717| or None\\n 4718| )\\n 4719|\\n 4720| # Per-channel/topic ephemeral prompt\\n 4721| from gateway.platforms.base import resolve_channel_prompt\\n 4722| _chat_id_str = str(chat.id)\\n 4723| _channel_prompt = resolve_channel_prompt(\\n 4724| self.config.extra,\\n 4725| thread_id_str or _chat_id_str,\\n 4726| _chat_id_str if thread_id_str else None,\\n 4727| )\\n 4728|\\n 4729| return MessageEvent(\\n 4730| text=message.text or \\\"\\\",\\n 4731| message_type=msg_type,\\n 4732| source=source,\\n 4733| raw_message=message,\\n 4734| message_id=str(message.message_id),\\n 4735| platform_update_id=update_id,\\n 4736| reply_to_message_id=reply_to_id,\\n 4737| reply_to_text=reply_to_text,\\n 4738| auto_skill=topic_skill,\\n 4739| channel_prompt=_channel_prompt,\\n 4740| timestamp=message.date,\\n 4741| )\\n 4742|\\n 4743| # ── Message reactions (processing lifecycle) ──────────────────────────\\n 4744|\\n 4745| def _reactions_enabled(self) -> bool:\\n 4746| \\\"\\\"\\\"Check if message reactions are enabled via config/env.\\\"\\\"\\\"\\n 4747| return os.getenv(\\\"TELEGRAM_REACTIONS\\\", \\\"false\\\").lower() not in {\\\"false\\\", \\\"0\\\", \\\"no\\\"}\\n 4748|\\n 4749| async def _set_reaction(self, chat_id: str, message_id: str, emoji: str) -> bool:\\n 4750| \\\"\\\"\\\"Set a single emoji reaction on a Telegram message.\\\"\\\"\\\"\\n 4751| if not self._bot:\\n 4752| return False\\n 4753| try:\\n 4754| await self._bot.set_message_reaction(\\n 4755| chat_id=int(chat_id),\\n 4756| message_id=int(message_id),\\n 4757| reaction=emoji,\\n 4758| )\\n 4759| return True\\n 4760| except Exception as e:\\n 4761| logger.debug(\\\"[%s] set_message_reaction failed (%s): %s\\\", self.name, emoji, e)\\n 4762| return False\\n 4763|\\n 4764| async def _clear_reactions(self, chat_id: str, message_id: str) -> bool:\\n 4765| \\\"\\\"\\\"Clear all reactions from a Telegram message.\\n 4766|\\n 4767| Calling ``set_message_reaction`` with ``reaction=None`` (or an empty\\n 4768| sequence) is the documented Bot API way to remove all bot-set\\n 4769| reactions on a message — equivalent to Bot API 10.0's\\n 4770| ``deleteMessageReaction`` but supported in PTB 22.6 already.\\n 4771| \\\"\\\"\\\"\\n 4772| if not self._bot:\\n 4773| return False\\n 4774| try:\\n 4775| await self._bot.set_message_reaction(\\n 4776| chat_id=int(chat_id),\\n 4777| message_id=int(message_id),\\n 4778| reaction=None,\\n 4779| )\\n 4780| return True\\n 4781| except Exception as e:\\n 4782| logger.debug(\\\"[%s] clear reactions failed: %s\\\", self.name, e)\\n 4783| return False\\n 4784|\\n 4785| async def on_processing_start(self, event: MessageEvent) -> None:\\n 4786| \\\"\\\"\\\"Add an in-progress reaction when message processing begins.\\\"\\\"\\\"\\n 4787| if not self._reactions_enabled():\\n 4788| return\\n 4789| chat_id = getattr(event.source, \\\"chat_id\\\", None)\\n 4790|\", \"total_lines\": 4820, \"file_size\": 212781, \"truncated\": true, \"hint\": \"Use offset=4790 to continue reading (showing 4700-4789 of 4820 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_H1ytutY0DiL3C5jLeUGAvxNE" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_mIarzpTYi1FIZjP0b6LahjnF", "call_id": "call_mIarzpTYi1FIZjP0b6LahjnF", "response_item_id": "fc_0a7c047520117fa0016a05ad5e5a1c819197ca65bfc79c4e86", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":50,\"path\":\"/home/agent/.hermes\",\"pattern\":\"*channel*\",\"target\":\"files\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Exploring chat IDs**\n\nI realize I need to set the telegram.channel_prompts mapping using thread IDs. I’m not sure if I need the group chat ID since the available target list doesn’t include it. The current session context mentions group JARVIS, thread 11, but there's no chat ID available. I think the targets in the send_message list might not have IDs either. I should check if the config has allowed_chats and see if there’s a channel directory.", "reasoning_content": "**Exploring chat IDs**\n\nI realize I need to set the telegram.channel_prompts mapping using thread IDs. I’m not sure if I need the group chat ID since the available target list doesn’t include it. The current session context mentions group JARVIS, thread 11, but there's no chat ID available. I think the targets in the send_message list might not have IDs either. I should check if the config has allowed_chats and see if there’s a channel directory.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBa1eP_tz4j8_8m674GEglvDJlxB128TgLUMaKtSK-y9IJ6ZHfglCbHBheaG9jSgc5YfdF7iF2tHJ91Wjs7EUhokDilpf2BqFA3ssbeXEdaFkVZws9wNvlwd94eG2oDX-APoI6Zo6UplFaC_rjc6LF2X_RCrHYNk_tApfRdwjzurhSvAHAv8-0mpoCbL9eRQ__iPiH-N7xidOIC9JNylgbOyFpokOD1-3hi5GlD4687gI-_N8TN6-3WhxoxJSph43A0HNBcCKahPLs8b7dRjqyEPBKhS-YEYqgkpKz-IPplD6xyLOkZ8NIosthSXJgSw8_lEPKzwDYKejQliCEFH8fOdgi7NWQBcFOzwI1SzDaAxBtjbnPnBuD8-6SMTjuEgSjEBEVoVGHpoJJ6OZybwz0NakrUnzQbKJNRyxpyhRF4yj2L9DrMVe1G8qEnozKBgiSzlJHJtDAcysxE4uLUjuQhb6u91oBGqtiaJzIF0EM4THSJTZ829llyQ0tIX6V9gtV4bnS2Kft3kp-3A3jUmw3xGi-2yyLOVDIL8Ucu3BAbZG2Rr-A8A_Sh8SjF91yJYQf8BVkRg7mwQPJPLt4d5QPVVtEX0_fteG6H3GegSFFJkp4AG5YqlPWkgIocdxyH7b9eKBc3_cj8IPQG63PG1ZUXzWSfSG_M3uSAV_zeUWEdad-hG64RAajunhYpq8jn_1ujbAxWpR65FJ-1Vt66oxKjbGv3dq4HLDczrQrtzyZALWtJIfM362oDKMlCagSINqMrQ9tvzyGgjfop1i3y-JEf3z_xTK2_vUI9-rX9upQe561sOIZYWNE4PVZ4TpvlbxIUpdqA_nbkM12WnUJKTK4TXn-rlBQJPLgaOzpNoAthVbBKAJq9XEjbmZUxKdid8gGG_Y4mBZ837m9gB4O6_ddDBiBt688_gzarAFX79AkVFbExDY1ujBRuPpM8hD2qAoOOnckmebJlUpetp_Fw5cMJpFtXqI7qKd5br0iq5J0rcJ6Aax_M25_6fVMqzQcEBHmP5B7tsiTdmgNJ6srRLYr3f0aH3W19md3kj_yCh5EulmFSXqP-W74t8P5PraJ68FDcF2CwPZNeq1rovBZWbaEUkD-U_naEBbaWSGG_SmrDZb1tKoQIF4oxyEawKd0KXrOA1c8qw46v48HshQay9NE1FJsgiL1If6UETfWOYzOF3kxvJYC418owKfZpJFBsfxFToXW6GAfTdGtYkpEQgBqDGgTmVyWm17EHjrOx7ntel_-zLXBQkr26og7BnKZCbnEv0wbul09o5lGGfrseAa8XsKKQ==", "id": "rs_0a7c047520117fa0016a05ad584d108191b0e3229fedae8d1e", "summary": [ { "type": "summary_text", "text": "**Exploring chat IDs**\n\nI realize I need to set the telegram.channel_prompts mapping using thread IDs. I’m not sure if I need the group chat ID since the available target list doesn’t include it. The current session context mentions group JARVIS, thread 11, but there's no chat ID available. I think the targets in the send_message list might not have IDs either. I should check if the config has allowed_chats and see if there’s a channel directory." } ] } ] }, { "role": "tool", "content": "{\"total_count\": 50, \"files\": [\"/home/agent/.hermes/channel_directory.json\", \"/home/agent/.hermes/hermes-agent/gateway/__pycache__/channel_directory.cpython-311.pyc\", \"/home/agent/.hermes/hermes-agent/web/node_modules/caniuse-lite/data/features/channel-messaging.js\", \"/home/agent/.hermes/hermes-agent/web/node_modules/@observablehq/plot/src/channel.d.ts\", \"/home/agent/.hermes/hermes-agent/web/node_modules/caniuse-lite/data/features/broadcastchannel.js\", \"/home/agent/.hermes/hermes-agent/web/node_modules/@observablehq/plot/src/channel.js\", \"/home/agent/.hermes/hermes-agent/web/node_modules/@types/node/diagnostics_channel.d.ts\", \"/home/agent/.hermes/hermes-agent/web/node_modules/undici-types/diagnostics-channel.d.ts\", \"/home/agent/.hermes/hermes-agent/ui-tui/node_modules/caniuse-lite/data/features/channel-messaging.js\", 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"id": "rs_0a7c047520117fa0016a05ad6505248191ac5ebca044c96715", "summary": [] } ] }, { "role": "tool", "content": "{\"content\": \" 1|# JARVIS Structured Memory Index\\n 2|\\n 3|_Last updated: 2026-05-13_\\n 4|\\n 5|Purpose: concise domain-card memory architecture for JARVIS/Hermes/FRIDAY routing. Load only the relevant cards for a task; do not dump secrets into memory.\\n 6|\\n 7|## Index\\n 8|- `00_core_profile.md` — identity, tone, privacy baseline.\\n 9|- `01_agent_system.md` — local agent/tool/model system context.\\n 10|- `10_health.md` — high-level confidential health context.\\n 11|- `11_health_medications.md` — medications and safety rules.\\n 12|- `12_health_lab_rules.md` — lab querying/charting rules.\\n 13|- `20_politics_windisch.md` — Windisch/Aargau civic context.\\n 14|- `30_business.md` — business routing overview.\\n 15|- `31_business_erne.md` — ERNE employer role; Teamleiter Baumanagement.\\n 16|- `32_business_gasser_bauunternehmen.md` — own company; non-operative shareholder/partner.\\n 17|- `40_personal_ops.md` — tasks, calendar, inbox, routines.\\n 18|- `50_language_french.md` — French learning/support.\\n 19|- `51_language_spanish.md` — Spanish learning/support.\\n 20|- `60_finance.md` — investing/crypto analysis and strict decision boundaries.\\n 21|- `61_finance_market_data_sources.md` — market data source quality rules.\\n 22|- `70_sport.md` — Krav Maga, gym/fitness, load and injury prevention.\\n 23|- `90_decisions_log.md` — append-only decisions and rationale.\\n 24|\\n 25|## Loading rule\\n 26|Start with `00_core_profile.md` and `01_agent_system.md` only when identity/system context matters. Then load the smallest domain card set needed for the user request.\\n 27|\\n 28|## Write rule\\n 29|Store stable facts, decisions, source pointers, and operating rules. Do not store secrets, raw credentials, private keys, recovery phrases, or unnecessary raw personal/medical/business documents.\\n 30|\", \"total_lines\": 29, \"file_size\": 1682, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_3siQWzLeSW9BvOA2FvuXSmEP" }, { "role": "tool", "content": "{\"content\": \" 1|# 90 Decisions Log\\n 2|\\n 3|_Last updated: 2026-05-13_\\n 4|\\n 5|## Purpose\\n 6|Append-only record of important decisions and rationale.\\n 7|\\n 8|## Load when\\n 9|- When a significant user/agent decision is made or reviewed\\n 10|- When tracing why a policy/system choice exists\\n 11|\\n 12|## Stable facts\\n 13|- This file should track decisions, date, context, rationale, and owner.\\n 14|- It is not a dump for secrets or raw logs.\\n 15|\\n 16|## Operating rules\\n 17|- Append concise entries; do not rewrite history except to correct factual errors with note.\\n 18|- Record source/evidence path when useful.\\n 19|- Separate decision from recommendation.\\n 20|\\n 21|## Data sources\\n 22|- User confirmations\\n 23|- Config changes\\n 24|- System audits\\n 25|- Relevant domain cards\\n 26|\\n 27|## Do-not-store\\n 28|- Secrets, tokens, full private documents\\n 29|- Speculation as decision\\n 30|\\n 31|## Open questions\\n 32|- Preferred decision ID format?\\n 33|- Which past decisions should be backfilled?\\n 34|\", \"total_lines\": 33, \"file_size\": 847, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_069nuuFIFu3vVDiSvg6l5U08" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_d64Gj5JhociH3LHLnP7xUbfS", "call_id": "call_d64Gj5JhociH3LHLnP7xUbfS", "response_item_id": "fc_0a7c047520117fa0016a05ad7482fc8191b07edd892b6a6d2b", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from pathlib import Path\\nimport yaml, datetime\\njm=Path('/home/agent/jarvis_memory')\\ncard=jm/'02_telegram_topics.md'\\ncontent='''# 02 Telegram Topics\\n\\n_Last updated: 2026-05-14_\\n\\n## Purpose\\nCanonical topic map and routing policy for the Telegram group **JARVIS Command Center**. Use this card for topic selection, cross-topic routing, cron delivery targets, and session boundaries.\\n\\n## Load when\\n- User asks about Telegram topic structure, routing, cron delivery, gateway sessions, or where a task belongs.\\n- A request appears to be in the wrong topic and needs a topic-change recommendation.\\n- Creating or updating cron jobs, reports, briefings, or automated notifications.\\n\\n## Stable facts\\n- Telegram group: `JARVIS Command Center`, chat id `-1003907117629`.\\n- Hermes sees Telegram topics as separate targets/sessions via `chat_id:thread_id`.\\n- Known topic targets currently discovered:\\n - `-1003907117629:6` — Inbox / general triage.\\n - `-1003907117629:11` — JARVIS System – Architektur.\\n - `-1003907117629:16` — Automationen / Cronjobs.\\n - `-1003907117629:17` — Research / AI / Tools.\\n - Additional discovered topics without confirmed names yet: `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`.\\n\\n## Topic policies\\n### Topic 6 — Inbox / General Triage\\nUse for quick commands, unclassified requests, ad-hoc intake, and routing decisions. If a better specialist topic is clear, recommend the move or answer in the requested/obvious target topic.\\n\\n### Topic 11 — JARVIS System – Architektur\\nUse for overall JARVIS/Hermes/FRIDAY architecture: agent architecture, Telegram topic structure, memory concept, model routing, subagents, OpenClaw, Codex, cost optimisation, and security/permission concepts.\\nDo **not** use for concrete debugging of individual scripts; route those to a coding/system/debugging topic.\\n\\n### Topic 16 — Automationen / Cronjobs\\nUse for scheduled jobs, briefings, recurring reports, checks, reminders, watchdogs, automation outputs, cron delivery design, and monitoring summaries.\\n\\n### Topic 17 — Research / AI / Tools\\nUse for AI/tool research, model comparisons, new tools, papers, external sources, market/tech reconnaissance, and non-operational research notes.\\n\\n## Routing rules\\n- Treat each topic as its own session and answer only in the active/requested topic unless the user explicitly asks for cross-topic delivery or the correct target is obvious.\\n- When the user asks something in the wrong topic, prefer a short recommendation: “Besser in Topic X”. If the user asks to answer in the correct topic, send the substantive answer to that topic and keep only a short handoff note in the original topic.\\n- For cron jobs, prefer explicit delivery targets (`telegram:-1003907117629:`) instead of bare `telegram`, unless Sir requests Home/DM delivery.\\n- Keep topic-policy data durable here; do not rely on long chat history alone.\\n\\n## Context policy\\n- Do not increase visible-message/context retention just to remember topic purpose. Use this card plus per-topic channel prompts.\\n- Keep `compression.protect_last_n` moderately sized for recent conversational continuity; raise it only if recurring topic-local decisions are being lost before they are written to this card or `90_decisions_log.md`.\\n\\n## Open questions\\n- Confirm human-readable names and policies for topics `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`.\\n- Decide whether to add a dedicated Security/Permissions topic or keep it under Topic 11.\\n- Decide whether to add a dedicated Coding/System-Debugging topic for script-level work.\\n'''\\ncard.write_text(content)\\n\\n# Patch README index if absent\\nreadme=jm/'README.md'\\ntxt=readme.read_text()\\nif '02_telegram_topics.md' not in txt:\\n txt=txt.replace('- `01_agent_system.md` — local agent/tool/model system context.\\\\n', '- `01_agent_system.md` — local agent/tool/model system context.\\\\n- `02_telegram_topics.md` — Telegram topic map and routing policy for JARVIS Command Center.\\\\n')\\n txt=txt.replace('_Last updated: 2026-05-13_', '_Last updated: 2026-05-14_', 1)\\n readme.write_text(txt)\\n\\n# Patch agent system load rules/data sources\\nagent=jm/'01_agent_system.md'\\ntxt=agent.read_text()\\ntxt=txt.replace('_Last updated: 2026-05-13_', '_Last updated: 2026-05-14_', 1)\\nif 'Telegram topic routing or JARVIS Command Center structure' not in txt:\\n txt=txt.replace('- Any system architecture, agent routing, cron, MCP, skill, or model decision\\\\n', '- Any system architecture, agent routing, cron, MCP, skill, or model decision\\\\n- Telegram topic routing or JARVIS Command Center structure\\\\n')\\nif '- ~/jarvis_memory/02_telegram_topics.md' not in txt:\\n txt=txt.replace('- ~/jarvis_memory/\\\\n', '- ~/jarvis_memory/\\\\n- ~/jarvis_memory/02_telegram_topics.md\\\\n')\\nagent.write_text(txt)\\n\\n# Append decision log entry\\nlog=jm/'90_decisions_log.md'\\ntxt=log.read_text()\\ntxt=txt.replace('_Last updated: 2026-05-13_', '_Last updated: 2026-05-14_', 1)\\nentry='''\\\\n## 2026-05-14 — Telegram topic routing policy\\\\nDecision: `JARVIS Command Center` Telegram topics are treated as separate sessions with explicit routing. Topic 11 is the architecture/governance lane; concrete individual script debugging belongs in a coding/system/debugging lane, not Topic 11. Topic policies are stored in `02_telegram_topics.md` and reinforced via Telegram channel prompts.\\\\nRationale: prevents memory bleed, keeps automation outputs and architecture decisions separated, and allows cron jobs to target exact topics.\\\\nOwner: Sir / JARVIS.\\\\n'''\\nif '2026-05-14 — Telegram topic routing policy' not in txt:\\n log.write_text(txt.rstrip()+entry)\\n\\n# Update Hermes config with per-topic channel prompts for known topics, both top-level and gateway telegram blocks.\\ncfg_path=Path('/home/agent/.hermes/config.yaml')\\ncfg=yaml.safe_load(cfg_path.read_text())\\nchat='-1003907117629'\\nprompts={\\n '6': 'Telegram Topic 6: Inbox / General Triage. Use for quick commands, unclassified intake, and routing. If a more suitable JARVIS Command Center topic is clear, recommend the topic switch or, if explicitly requested, answer in the correct topic via messaging. Keep replies concise unless asked.',\\n '11': 'Telegram Topic 11: JARVIS System – Architektur. Use only for overall JARVIS/Hermes/FRIDAY architecture, Telegram topic structure, memory concept, model routing, subagents, OpenClaw/Codex, cost optimisation, and security/permission concepts. Do not do concrete individual script debugging here; recommend or route to a coding/system/debugging topic.',\\n '16': 'Telegram Topic 16: Automationen / Cronjobs. Use for scheduled jobs, briefings, recurring reports, checks, reminders, watchdogs, automation outputs, cron delivery design, and monitoring summaries. Prefer explicit cron delivery targets with this thread id when relevant.',\\n '17': 'Telegram Topic 17: Research / AI / Tools. Use for AI/tool research, model comparisons, papers, external sources, tech reconnaissance, and non-operational research notes. Keep operational automation/debugging out unless explicitly tied to tool evaluation.',\\n}\\n# include aliases: thread id and full chat:thread target, because resolver uses thread_id but this documents both forms.\\nmap_prompts={}\\nfor tid,p in prompts.items():\\n map_prompts[tid]=p\\n map_prompts[f'{chat}:{tid}']=p\\nfor section in [('telegram',), ('gateway','telegram')]:\\n node=cfg\\n for key in section:\\n node=node.setdefault(key,{})\\n cp=node.setdefault('channel_prompts',{})\\n if cp is None or not isinstance(cp, dict):\\n cp={}\\n node['channel_prompts']=cp\\n cp.update(map_prompts)\\n# Preserve YAML readability\\ncfg_path.write_text(yaml.safe_dump(cfg, sort_keys=False, allow_unicode=True))\\nprint('Implemented: wrote 02_telegram_topics.md, patched README/01_agent_system/90_decisions_log, updated telegram channel_prompts for topics 6/11/16/17 in config.yaml.')\\nprint('Note: gateway restart is required for channel_prompts to take effect in future sessions.')\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBa1017mFrvolibpHTEKp4NkS06nMu0ryg4u2rHYg-2ql6niTPHrki8FpvnucsQa10uLJkphRexLnYCF4a2DY3s9EtymCD-fxFBgzg2ePKtoplSVI3JH1Bl7YL6WKTgmGUQA9eg0qCby9rswHH2AoROv6MwSWzszJhbi3VenjmVc7uyh0I78s6oyLEmFiGDhpNg9m3cvehJzLYWTbu4YOKPvqh6gkWx8gLa9jWVjxnLTzDsO5ZvHRtVAjly9P8WrUR4VhvgP-NYh_ale97PM1v7aWowZ1yjROzNYibY814zjBQZfRT9lp9uM8pb3DljfkSz_hjDcVmf_H8EmhWsvZ6irdTWrgqTxx2Cnm1N4gVC49t3DLHya7-f_CPPXrAu1mGrOa-Wvhub5JsqBxvTkDKeoIzlhJ4pbOD2yo2Z-fhn_qVv9b3tEYLb9DqF23wnRObjQVRJ-10-tiAScXONMTbYncIz_70UnNAU1W2QJxbEe4wO5e6CKgx3v66utedzGobn37GNFpPJHo2b_azqBl-iHBazgm0Vmi6U7IRqT-Cb3Y6whdIs6V3RH121UR0IKT-d4OD5gixR0_chom0VfI6M9aUBYbPGrvWKrdOp4tbqaJqNHW0iXiax90ReLqWxPpX9seAUEmVQbNeTOYVMagqHxSefj3NjsxNVbHGzsreyvcGrkj-96vdWO-zcLo5So51qE16RUhTp11TPFhhOz_Ln4Rm0bgVBUF0JcUe1SRKw1LfQmuWploL8Zdk-8SgQXoDuSIUgdojiHk6IsnrM1fxVz7X0o0mT-Sgr2MwdmiNzAfEYSchiLCXVxtEav6L70SOW2YB6MkahC281u5ACKsU-vAX9o0UCrVip_bgTFX7BCwKbYivMFb2rO7gkmDMxnCDLt9dh_a_F7U8VRzQbOLHgTEoUDdw9SlOnKL_5j1hoCIs15niBIndAIc6QkC3sHsImABPD3cS0qjwDCucU5DmG6Xx7z-V4t7T99wzurHURbsLJpJ8n8TQJJqgQ9wfgPNKw65xHGqQ5RXkbNK-3AfNnzQxiqzxYwokW0k8njVi-hwXdaBw2qmAuw7V7mTcC1bfl5oxYMBQtEvbzz2EY7U6zs5uwn1eCw9NzHgqT7HO_vHiKTRgH4aFSB1B4wruzZb7XN-vr-NAkpCHEvp-Ei9cY0Bel7ZVjY2oJ1uN4TpfYX53t0R8UU5vPlr672pPwsMvr5xDoAW31vqnWhCqszyCiweY-B5INT__tiJuf155WUeD51L38Jm5YvqT8K0rTFv0bLGdRI_n8bOVqoef70L3JhID2G6ZAIrDMt81VWzY_KZjXfcinQeDZ_uixuuYBwl7kZCzqJCgTQXvMozFWPv-mTziSEDi6MCaupFhlxGJxxZtHxuQO9aaHMketVVDvdLMEqohp-X06e1EbTWRSWuPAhgDWZVNrYhhi9ziM0q7FeTzr_LVxPJQLdp5SclKlgPNkbWX-XsD0JKJCer0bqEutsboQv7wZrlDlFweAjqzxb6-Cad1BtVCCOsPtysf4QuvzhQV287OMQcz0UbjQLn0szy8OGiDc2ZIOwmMyJglMkTOPbsxu5xTUfP71I5_O8yD2T3xCsgQ9mZ6H5KQF5V3yeFS7rqkV6P_7yMfZAqdhqwG2_G0qPwJWpeiY5Y0gMEKpr8LUh7dlIk5YSjzrZMJeUrUpmSHPZ9W51X8GndT1XEhHnKQgPyoo9STq4kjImmbZ6l2uDd0xmilbr5mknU3PaUtkczRE-HsFDo_Yjba4zpS1oFcP1dRDEYCl7pSOk1LQubZlQE0IYvlW_-EJ2WkNbOI0uXrCB9ZvU_G5Jox2c6WcbtA3x-ovLDJK7sSZUkP6WpfhnIVUymYzGvGu_Sza_RYFYknJeI_tXEJfjdu-E8YkSByf6e0st-n9UZ-HENYYFbMHFPv6JWyj9KjX6shG3LxN2dX5Ib6GvZ5Hwjg1NBtnD_Ia9rPGapNlDPr_e-TR-G7kt4xPDjNgKMKESw2zb1XVog-RsolDvALBMG5EPeOE4=", "id": "rs_0a7c047520117fa0016a05ad704ce481919366dc8c3caa0ddf", "summary": [] } ] }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"Implemented: wrote 02_telegram_topics.md, patched README/01_agent_system/90_decisions_log, updated telegram channel_prompts for topics 6/11/16/17 in config.yaml.\\nNote: gateway restart is required for channel_prompts to take effect in future sessions.\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "call_d64Gj5JhociH3LHLnP7xUbfS" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_2OZxdN1XCZIkUE3c2fHSXGfG", "call_id": "call_2OZxdN1XCZIkUE3c2fHSXGfG", "response_item_id": "fc_0a7c047520117fa0016a05ada281c48191ab0dd41c88f7651a", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":260,\"path\":\"/home/agent/jarvis_memory/02_telegram_topics.md\"}" } }, { "id": "call_Hjhv6I9idmIiPFml5AjuKuN9", "call_id": "call_Hjhv6I9idmIiPFml5AjuKuN9", "response_item_id": "fc_0a7c047520117fa0016a05ada281d48191868bd76d84721d1f", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\nimport yaml\\nfrom pathlib import Path\\ncfg=yaml.safe_load(Path('/home/agent/.hermes/config.yaml').read_text())\\nfor sec in [('telegram',),('gateway','telegram')]:\\n node=cfg\\n for k in sec: node=node[k]\\n print('.'.join(sec), sorted(node.get('channel_prompts',{}).keys()))\\nprint('protect_last_n', cfg.get('compression',{}).get('protect_last_n'))\\nprint('session_reset', cfg.get('session_reset'))\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/.hermes/hermes-agent\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBa2fd0kAMnR_FPOs18Hb6YFVgF7GfzCgz24MRcw_Cig2TCGc6KkbnaFKop5r19Hl-qI3MZ_4gNF3uyEwSazPqwhKTcJNF00KC699luNdSeunKkh1m89RmsCWjhG6kmPA-ovX5dU6i6EfpU2hs84PQtAOi1zMUGXyKCAETnezOvjSnw8cDQ7wrqF045z0__SojRA05jwnh-tEmQsrguOHZIZX0xAOjchgoz6po-NJPnDbMXxTucFdda-uFc3DSmy0KXAMd_y9sHvZi3u0KMDAHIwKEmlIDUr5t2rPFIJotb0YzGP07K8vpuD1d27_-asePzU8ffYWiFEndVJhQXQG5lE0s2GakGpl6cqeb9jVbGZk4Tffp4HfOD2mTBzgCAhP6TBICqvoFXlkrIoxkyLTNhTXRV5DEGLpOhoFeUGI2X9NyOzbCXPDsxsCRZjaI58tyHKy5TkqCFm-m6uzthiz3f1lZpyTKwnhs4itdTPcQm8v0UA-GlBngAI7j5VUE7LuscQl4yNFq3b9Y2C-_OC60tJMMojYJ15QbhEeICmTldxNlznRWRXQUJ2QCl90ei-Jrfv6iru8vVSbETrlGP6CBX6ptI6X7PTbT0LMg7a7DFLnRSrF5p8FuZWSejcXt2-Cd-jGRt59bEc7RcsJIqlZFgVvrafoNZeL0GA1tnAezPTTC6yg4qpgrkA_JdZQTBf0oiWKE_-ZkssPKxzaYWTuzhQwt3lRe0JlM0yO_JvL7TbUa68eFMwwVTHxjwt1ImngorfBaBvgpLOT0rQqvuZANM01bHgPNYSTEuc_smPJueyHNP_M5ybbvtHduSQF-u7Q1HxjNVzLGC0uXt4KXVG5mOD_1_UYeDSBG9h3PYYxMRgoEhFrcUagwT36giczxfpqvqEHQl3XD0dmj3eAQuUuuREcLyuGAD8J6jvy8wuJrTNI9N5K4zzNT3oxmwclQzJttCN5DuvMnjMFagppxmGbAaKlPA==", "id": "rs_0a7c047520117fa0016a05ad9e73d88191a183fb83c2bbe905", "summary": [] } ] }, { "role": "tool", "content": "{\"content\": \" 1|# 02 Telegram Topics\\n 2|\\n 3|_Last updated: 2026-05-14_\\n 4|\\n 5|## Purpose\\n 6|Canonical topic map and routing policy for the Telegram group **JARVIS Command Center**. Use this card for topic selection, cross-topic routing, cron delivery targets, and session boundaries.\\n 7|\\n 8|## Load when\\n 9|- User asks about Telegram topic structure, routing, cron delivery, gateway sessions, or where a task belongs.\\n 10|- A request appears to be in the wrong topic and needs a topic-change recommendation.\\n 11|- Creating or updating cron jobs, reports, briefings, or automated notifications.\\n 12|\\n 13|## Stable facts\\n 14|- Telegram group: `JARVIS Command Center`, chat id `-1003907117629`.\\n 15|- Hermes sees Telegram topics as separate targets/sessions via `chat_id:thread_id`.\\n 16|- Known topic targets currently discovered:\\n 17| - `-1003907117629:6` — Inbox / general triage.\\n 18| - `-1003907117629:11` — JARVIS System – Architektur.\\n 19| - `-1003907117629:16` — Automationen / Cronjobs.\\n 20| - `-1003907117629:17` — Research / AI / Tools.\\n 21| - Additional discovered topics without confirmed names yet: `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`.\\n 22|\\n 23|## Topic policies\\n 24|### Topic 6 — Inbox / General Triage\\n 25|Use for quick commands, unclassified requests, ad-hoc intake, and routing decisions. If a better specialist topic is clear, recommend the move or answer in the requested/obvious target topic.\\n 26|\\n 27|### Topic 11 — JARVIS System – Architektur\\n 28|Use for overall JARVIS/Hermes/FRIDAY architecture: agent architecture, Telegram topic structure, memory concept, model routing, subagents, OpenClaw, Codex, cost optimisation, and security/permission concepts.\\n 29|Do **not** use for concrete debugging of individual scripts; route those to a coding/system/debugging topic.\\n 30|\\n 31|### Topic 16 — Automationen / Cronjobs\\n 32|Use for scheduled jobs, briefings, recurring reports, checks, reminders, watchdogs, automation outputs, cron delivery design, and monitoring summaries.\\n 33|\\n 34|### Topic 17 — Research / AI / Tools\\n 35|Use for AI/tool research, model comparisons, new tools, papers, external sources, market/tech reconnaissance, and non-operational research notes.\\n 36|\\n 37|## Routing rules\\n 38|- Treat each topic as its own session and answer only in the active/requested topic unless the user explicitly asks for cross-topic delivery or the correct target is obvious.\\n 39|- When the user asks something in the wrong topic, prefer a short recommendation: “Besser in Topic X”. If the user asks to answer in the correct topic, send the substantive answer to that topic and keep only a short handoff note in the original topic.\\n 40|- For cron jobs, prefer explicit delivery targets (`telegram:-1003907117629:`) instead of bare `telegram`, unless Sir requests Home/DM delivery.\\n 41|- Keep topic-policy data durable here; do not rely on long chat history alone.\\n 42|\\n 43|## Context policy\\n 44|- Do not increase visible-message/context retention just to remember topic purpose. Use this card plus per-topic channel prompts.\\n 45|- Keep `compression.protect_last_n` moderately sized for recent conversational continuity; raise it only if recurring topic-local decisions are being lost before they are written to this card or `90_decisions_log.md`.\\n 46|\\n 47|## Open questions\\n 48|- Confirm human-readable names and policies for topics `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`.\\n 49|- Decide whether to add a dedicated Security/Permissions topic or keep it under Topic 11.\\n 50|- Decide whether to add a dedicated Coding/System-Debugging topic for script-level work.\\n 51|\", \"total_lines\": 50, \"file_size\": 3421, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_2OZxdN1XCZIkUE3c2fHSXGfG" }, { "role": "tool", "content": "{\"output\": \"telegram ['-1003907117629:11', '-1003907117629:16', '-1003907117629:17', '-1003907117629:6', '11', '16', '17', '6']\\ngateway.telegram ['-1003907117629:11', '-1003907117629:16', '-1003907117629:17', '-1003907117629:6', '11', '16', '17', '6']\\nprotect_last_n 16\\nsession_reset {'at_hour': 4, 'idle_minutes': 1440, 'mode': 'both'}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Hjhv6I9idmIiPFml5AjuKuN9" }, { "role": "assistant", "content": "Erledigt, Sir.\n\nIch habe die Topic-Struktur jetzt **dauerhaft umgesetzt** — nicht nur im Chat-Verlauf, denn der ist bekanntlich so zuverlässig wie ein Praktikant mit Root-Rechten.\n\n## Umgesetzt\n\nIch habe eine neue Domain Card angelegt:\n\n`~/jarvis_memory/02_telegram_topics.md`\n\nDarin gespeichert:\n\n- Telegram-Gruppe: **JARVIS Command Center**\n- Chat-ID: `-1003907117629`\n- Topic-Zuordnung:\n - **6** — Inbox / General Triage\n - **11** — JARVIS System – Architektur\n - **16** — Automationen / Cronjobs\n - **17** — Research / AI / Tools\n - weitere bekannte, aber noch unbenannte Topics: `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`\n- Routing-Regeln:\n - Topics als getrennte Sessions behandeln\n - bei falschem Topic Topicwechsel empfehlen\n - wenn gewünscht/naheliegend, Antwort direkt in den richtigen Topic-Kanal senden\n - Cronjobs mit explizitem Target wie `telegram:-1003907117629:16` statt nur `telegram`\n\nZusätzlich aktualisiert:\n\n- `~/jarvis_memory/README.md`\n- `~/jarvis_memory/01_agent_system.md`\n- `~/jarvis_memory/90_decisions_log.md`\n- `~/.hermes/config.yaml` mit **Telegram channel_prompts** für Topics `6`, `11`, `16`, `17`\n\n## Wichtig: Gateway-Neustart nötig\n\nDie neuen `channel_prompts` in der Hermes-Konfiguration greifen erst nach Gateway-Neustart.\n\nIch habe den Gateway **nicht** selbst neugestartet, weil das laufende Sessions unterbrechen kann. \nDu kannst danach einfach im Telegram-Gateway senden:\n\n`/restart`\n\nOder ich mache es, wenn du es ausdrücklich willst.\n\n## Kontextlänge / sichtbare Messages\n\nAktueller Stand:\n\n- `compression.protect_last_n`: **16 Messages**\n- Session Reset:\n - täglich um 04:00\n - oder nach 24h Idle\n- Compression aktiv ab ca. 40% Kontext\n\nMeine Empfehlung: **nicht blind verlängern.**\n\nFür Topic-Überblick ist besser:\n\n1. **dauerhafte Topic Policy Card** — jetzt umgesetzt\n2. **per-topic channel_prompts** — jetzt umgesetzt\n3. wichtige Architekturentscheide in `90_decisions_log.md`\n4. nur bei Bedarf `protect_last_n` erhöhen\n\nWarum? Wenn wir einfach sichtbare Messages stark erhöhen, kostet das dauerhaft mehr Tokens und macht Antworten langsamer. Architekturwissen gehört in Memory/Card, nicht in endlosen Chatverlauf. Barbarisch effizient.\n\n## Falls wir doch verlängern wollen\n\nWenn du merkst, dass ich innerhalb eines Topics wiederholt Kontext verliere, wäre mein Vorschlag:\n\n```yaml\ncompression:\n protect_last_n: 24\n```\n\nNicht gleich 64 oder 100. Erst 24, maximal 32. Alles darüber ist meist nur teure Nostalgie.\n\n## Neues Routing-Verhalten\n\nAb jetzt soll ich so arbeiten:\n\n- Frage gehört hier in **Topic 11 Architektur** → ich antworte hier.\n- Frage gehört offensichtlich nach **Automationen/Cronjobs** → ich empfehle Topic 16 oder sende dort, wenn du das willst.\n- Frage gehört nach **Research/AI/Tools** → Topic 17.\n- Unklare oder schnelle Kommandos → Topic 6 Inbox.\n- Einzelnes Script-Debugging → nicht hier; ich empfehle passenden Coding/System-Debugging-Thread, sobald du dessen Topic-ID/Namen bestätigst.\n\nNächster sinnvoller Schritt: Du gibst mir noch die Namen/Zwecke der Topics `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`, dann mache ich die Topic Map vollständig.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBa2suGViWzz6uoNiLZqZFuV_hQPS9fBXwCqsl6eMYBdhoYiODHKAkHfDCNjNa2LkiL5Vny-osQT2eSdPV5ASdWscl8T1zkoVz60Wd5Svsu7sJHfHjVaUG5bxlD1x8ivrb9xuUL3ymL7E_KsNUVjUDrQ7lykXuhfOrcJaqMcHGRzSN-5IMv0zkBLHJ7djLeGjo-i0tO3mUbyM8hDaS4uOZkybMdBf3K8lflOBhRZ_2XJXUE3VoFKTBQS29e2IFFxBtv2saLvbmhsLa_TmOXdCEWt9MDzwQpPZ7LhSC1lTC-5OsuRWqbDxgt5nQmBCXBhGdGVn_h4NAn0FY2lOqEMUWF5QZcCJCABJ25iuYLgXsq9iw-GSkppRCrlHTs0izT1X8AuFYWkIzkcyrhOZSn5dhhejfjPU4I4U3cfjXLsFE3D5HIVnCcBi2IXhzN7vXAHRs3ozo-JyppSOAm2GpqxhG9A1zCDe_FgUzPjk_k34Jf5pjIzi4mYh0_ML6ZslVyV4IM40Qcb94MFFuBlvNs_WQROJY-JoU6vbJP7pQ85pykD-RqPCxMSrjHEovPhQ2k4gp_jRoRUY1_8DxvUqm-vFg72eaAJ9psyHEsm_xGHREGvSaCCqRUffaqcYSZZvzs7ol8ADt2CW5ZqZlmrzojUl2KQ2oRmcksvutEu3u2S__muF7rjmRdZNJHajJyCcAQNUzrVpSDQlpMdcmjDHrLh6mC-fdMnt9iOkVv2AZHLotGO_86kpe7vrSktC9w6U51XemhMpWZBtbHs5YmkgtJVnT0Y07nWYiS3VDBXmpNAPsbvObylFANx0vnb2dpwvjqlEnn-uvyxSKoQaYwSL11kgGiEnFryE4XThaCb1F-P0k3ZdOQo_rEk8t7rhZGlns1yN-MnxZU8cR5t_Ji7BHsI4a16BCIwy5xXx4cr9aOItAdQoz57N06jqB9IJc_HHoUs8oby75jCfOLvJ9K2PNVIM04bEfkrnZ4wVAvYi-N_Zn0jNWALTjywO72RhxuVwnVA_fYDnSqpLWb_HuDWjJYW8sx5LQ8Z_3Ci07mveo5HEZ4yW5fbCJx8GImj6iCp736gwNQ-kAbUTyeMcxdfT-p5IVyfWeOEa8_A-zPUCuB-RxbW_Xdw4PcTG7kl3SelIv9RPDEJAbPIam5TFtaUDqjmlWhSHhsBWVf5RwytuWcAS6HiLMKMmJ3T247H6WwAHz47t_PQ4NO_3rnsrDTD4l_WmIxxuiZ0XrqLZpBtmeZSnQMFuJ-hqlJpWhK9IsHvB4vXk4IEViftEwH9WRVIlrNBH1wlHo4BhrBCtBpQz-FDPW4rlVGm_i0suiPJk3T9SYJgdfz1kxITSXo0toRgXqo7MLRKSjh-yDQRtqMZyF_le0z9Mq8J1ULclTsgXXRL1muE28hL4xB7htQBN0fhDMf9uK2-C9fNp45nBEyADXDdxDVqRiRjDM1gdTz7SlyVLzopxtNpRPNg4dLQBMM2urVCAG7XQfBw1jo508TI-LcmFJQL-Yh5oRqnDcjNDaALf4wsXvOscW9dNtTFm0IzrBJkGx7jdXUbcZLk6eS3P0qpEsgCQVJrI1aKJuWJir4XD-RvKO-3u_tPSF_n_WeNf3y46u8vJqnXE7pfAcbNqJZ3qz96pPGjuOma79XRfADexvEHbuqglMX_daGbpksXZOYAZWiC0ZbsbIQdWHCVzJ-nyQdNZjCEyA16MxwwLyW3tm5rgIlraYAn5j28BQdFFGmiqRBLiBN7SrcHpB69sxvPauw__XCiH6F1y7rJ-ToIvUdmKgJlmf6YQ4Clji1K2PJrtUBZJYJMjBmcTJ0a7nlZHo7UeFBEf1OcTlrmdDmpqc6Vc-0HcO3LiE3uX9qJedYD-UjqBI9rLntQhm-hVImDDkERXXuYENtoU3hxM5G40BO0whHI6w8ORW7ClwXtY0tLM0FyFHoTLFcHF1643JP81v42-Dy8ZHsPIBXA_gSO2Xd0Hxrsi2hsqpeG7PJZWLgQixcwGHW96Sy1rX7H8qz0zbMxKhbBA7C39PrOcAjVWfEeiEbOw56qn2XjTLWT40z3JpXQytPVON3pHj05RNsPqRmgBocHSO48rgrELxZFbBRTXmfYue2DoBwmLqhwVjZz3zar5ow4VywXIGkgmlSqOq8SLihSHNkM7JBjL7-JMpGeH3pVrH1yTYOJXDtF2XwU-yvYCsMEZaqSPa2bRNP83zOIS1QTncCHidR6FpjE9Vc0vq50vcTHElyqH1y8kfqP-8LRLR9IlWs7EoZqigNkeh-cH0jUfbmnge6CoHm9BM2l5i7nzEc5pYuHdsBcH0G0jD2UtKs-g8BHbbWMdtG73ICbdsQYA9ZymZ2BqqOT7tBrMKK3sLokWEWxmXhkUHhwW-qzHgTOdNeyR17dM08qgcUpMVFIPmxTomd-dBXXR05Y6sW-KGurxH5s7xEJw27GNq3nXLsY1UwrNiGNbJq0NlxZZS76ZwHdyswP3FbL-it5wKalhQQ6ZyyoqGfZXONUSNK6W3OiN9DGSwNdGPtku_WGxzed1Fufj86qKgZNcxvwaguz5DaforDu40LNgUgOxPYOW6k8uJTRUAQZN7i1QLMxDUev2Az1tsqx2MUWHr4K_Trln9X72yJeLMnYBk8KDAmfilZiLuBioF84oeWKczQekntmxFB2-mgulI3iQgIdi5GPPM6uyh2fj2jfsujXI5x7m4vNJggE9e6w0sP6oWNugKpBD6on4Fmgu8oj7p0Su-HxmQuC-WFpJVVuP-BwaU5vjQOBVKs07Hwe5vkP6WCHEKke4YduY5S62N41XTfyzCJf4gA33OVRJIqcoQOxCeuBrmfpTCqU5Jpe8q4nOxBPsq8FX3FA4G-Lz9aP7PJ7C6BpFyRYV9OHHcJ2ktp8qRct-lhfgc_Pa0lVtlfyU6InzepwE1-bFYv-Fa9aHRyLXq0JGOHImoyykLAMxdCtRwIEiiA==", "id": "rs_0a7c047520117fa0016a05ada68dfc8191bc5d312b6f14d132", "summary": [] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Erledigt, Sir.\n\nIch habe die Topic-Struktur jetzt **dauerhaft umgesetzt** — nicht nur im Chat-Verlauf, denn der ist bekanntlich so zuverlässig wie ein Praktikant mit Root-Rechten.\n\n## Umgesetzt\n\nIch habe eine neue Domain Card angelegt:\n\n`~/jarvis_memory/02_telegram_topics.md`\n\nDarin gespeichert:\n\n- Telegram-Gruppe: **JARVIS Command Center**\n- Chat-ID: `-1003907117629`\n- Topic-Zuordnung:\n - **6** — Inbox / General Triage\n - **11** — JARVIS System – Architektur\n - **16** — Automationen / Cronjobs\n - **17** — Research / AI / Tools\n - weitere bekannte, aber noch unbenannte Topics: `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`\n- Routing-Regeln:\n - Topics als getrennte Sessions behandeln\n - bei falschem Topic Topicwechsel empfehlen\n - wenn gewünscht/naheliegend, Antwort direkt in den richtigen Topic-Kanal senden\n - Cronjobs mit explizitem Target wie `telegram:-1003907117629:16` statt nur `telegram`\n\nZusätzlich aktualisiert:\n\n- `~/jarvis_memory/README.md`\n- `~/jarvis_memory/01_agent_system.md`\n- `~/jarvis_memory/90_decisions_log.md`\n- `~/.hermes/config.yaml` mit **Telegram channel_prompts** für Topics `6`, `11`, `16`, `17`\n\n## Wichtig: Gateway-Neustart nötig\n\nDie neuen `channel_prompts` in der Hermes-Konfiguration greifen erst nach Gateway-Neustart.\n\nIch habe den Gateway **nicht** selbst neugestartet, weil das laufende Sessions unterbrechen kann. \nDu kannst danach einfach im Telegram-Gateway senden:\n\n`/restart`\n\nOder ich mache es, wenn du es ausdrücklich willst.\n\n## Kontextlänge / sichtbare Messages\n\nAktueller Stand:\n\n- `compression.protect_last_n`: **16 Messages**\n- Session Reset:\n - täglich um 04:00\n - oder nach 24h Idle\n- Compression aktiv ab ca. 40% Kontext\n\nMeine Empfehlung: **nicht blind verlängern.**\n\nFür Topic-Überblick ist besser:\n\n1. **dauerhafte Topic Policy Card** — jetzt umgesetzt\n2. **per-topic channel_prompts** — jetzt umgesetzt\n3. wichtige Architekturentscheide in `90_decisions_log.md`\n4. nur bei Bedarf `protect_last_n` erhöhen\n\nWarum? Wenn wir einfach sichtbare Messages stark erhöhen, kostet das dauerhaft mehr Tokens und macht Antworten langsamer. Architekturwissen gehört in Memory/Card, nicht in endlosen Chatverlauf. Barbarisch effizient.\n\n## Falls wir doch verlängern wollen\n\nWenn du merkst, dass ich innerhalb eines Topics wiederholt Kontext verliere, wäre mein Vorschlag:\n\n```yaml\ncompression:\n protect_last_n: 24\n```\n\nNicht gleich 64 oder 100. Erst 24, maximal 32. Alles darüber ist meist nur teure Nostalgie.\n\n## Neues Routing-Verhalten\n\nAb jetzt soll ich so arbeiten:\n\n- Frage gehört hier in **Topic 11 Architektur** → ich antworte hier.\n- Frage gehört offensichtlich nach **Automationen/Cronjobs** → ich empfehle Topic 16 oder sende dort, wenn du das willst.\n- Frage gehört nach **Research/AI/Tools** → Topic 17.\n- Unklare oder schnelle Kommandos → Topic 6 Inbox.\n- Einzelnes Script-Debugging → nicht hier; ich empfehle passenden Coding/System-Debugging-Thread, sobald du dessen Topic-ID/Namen bestätigst.\n\nNächster sinnvoller Schritt: Du gibst mir noch die Namen/Zwecke der Topics `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`, dann mache ich die Topic Map vollständig." } ], "id": "msg_0a7c047520117fa0016a05adacea0c81918f27aa2d1aeffa33", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] OK setze das nach deinem vorschlag um. ich sehe leider die Topic ID's nicht. ich habe dir jedoch in jedem topic bereits geschrieben wie dieses heisst." }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBbBeLd_lU9TFKUNKtDwUwC_ZLvm2PU32_AD34-L4LWJtqKGydzvb_sXERWYXcyhOHwsVjF7h1AJixxXcPWp5Voc1xyvp-GP-hog-3qnOBILPwOqGLhdAc6h2R_N-C5PRrzQn_UizvXZdiWBKw7Lj5C3rNK-6BKX97iRzvmUIEQGMhsBtoJlKsKXTvGELM8bGjabsfb1G4gB9JhFDZwP6C7VXMajI6usNfyfoTOAqdSXn0SyxA19NmBIaeRArO0c-aW5zdyBJ2kN1K-jDk_A1d7QKzTKn6DzH4pxclb_HRaJB7ccRf67G3AV1hRkRPpyZiWvsCauyHwVz-0LvfNSh6sMoMFQ4SIVvPHCsn7OnreBLWNYLu1y6Ai8nv-hNNoE12f57-Ct4lCWYKxSKpSxpgzj_gMLKPZrI7H4v7yHx7aPBUGJRQoaXIXPAR79Jy45sUsZHHx2aN2AdU0acW8F7Qd1UJjgp-gp669seAH5xc2TN8wlggt1V6Cp7TmbIj5b-rgcnNL0Zq1tqgavkPIVzy1dG-tZqEkS84aLX_Et80iXDHlEGDkS-4bkN2uaseFMcLsNSDiS56fTCcEXQrV8iFKzDQnbFw5mYf2b56eUB1oM6gZvM3VrQS-T2Xsm-_aY7WwsynzZ20HEOe-f_WR2XI5H7g0-5_fntQSz65B0gvWhs2K8sw1R_TvX9wEAdPuqwf0201j4JmWgoNV5JMmVAERNXpE9AnRFL9lvhfcLky2qH04HeBi5E1PNAff_bIsg2RNoX11usjC-0XKP1KUJfqDrj4XbtSk6OVG3PesFpleEBNBivDIpKmOybZ7qPg_5Bv2jk_JBWq2syiQ1FCX0IHr41IwRFA7BzvojA4Ke2pKizrHNRwLwT6QX9eedU14AFuaIcyLseBip6cVvotyNdNEa5xiiWAYfiBGdwc2mb4gFAjZ2EVs0lkpGsLwZ-JSFr2rsEqXsgxjI0oaU5ifBw8nWn7AkVDTuitS8Ua4uO1CKgGLi0-iR4vcL1NW6lNSwgnFelDTLnqo3tGgfmij4efLfifRDxMEhESpKzjyHtcgdmND1PRt4H3uTUxCf6bC8tVRTRyt0M07uifUUkTBA_KljwfG8BQiMauAeqOdv9O--n_tNRq-z8ES9L6WGEkQ_pohWcQ1h_EIylggwtjIsOm5STi5rvi51pFctpmUfhW8oAU8bkutunGizCw4nN9axkjSDnJJkbeSw90VN6OXXBgFJUgvrbEzI4uTLbeBfy0ei3S2-xevZhG5-A_fj3ssOXGk0XIIL3KJa2QE-jHrnRUCG-mEcLwK0ZGWSnU_qhknt3UOiL8y3sIK-b3mLsmb15VKJ3Zr7ijbHHB9D231PBLo1sRv0iPOJ8MydfsIqCdjQwutwJQaGrs-1LDjwJhLCdZS491uc9-oX0gqIPZoIF3UiK-g==", "id": "rs_0a7c047520117fa0016a05b05a252881919d9bfc8806450ee0", "summary": [] } ], "tool_calls": [ { "id": "call_HaDHg90Dw4zzBiArDIlWF4yT", "call_id": "call_HaDHg90Dw4zzBiArDIlWF4yT", "response_item_id": "fc_0a7c047520117fa0016a05b05e206c8191a7508ab9292252a0", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"hermes-agent\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"hermes-agent\", \"description\": \"Configure, extend, or contribute to Hermes Agent.\", \"tags\": [\"hermes\", \"setup\", \"configuration\", \"multi-agent\", \"spawning\", \"cli\", \"gateway\", \"development\"], \"related_skills\": [\"claude-code\", \"codex\", \"opencode\"], \"content\": \"---\\nname: hermes-agent\\ndescription: \\\"Configure, extend, or contribute to Hermes Agent.\\\"\\nversion: 2.1.0\\nauthor: Hermes Agent + Teknium\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, development]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [claude-code, codex, opencode]\\n---\\n\\n# Hermes Agent\\n\\nHermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.\\n\\nWhat makes Hermes different:\\n\\n- **Self-improving through skills** — Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.\\n- **Persistent memory across sessions** — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.\\n- **Multi-platform gateway** — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 10+ other platforms with full tool access, not just chat.\\n- **Provider-agnostic** — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.\\n- **Profiles** — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.\\n- **Extensible** — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.\\n\\nPeople use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.\\n\\n**This skill helps you work with Hermes Agent effectively** — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.\\n\\n**Docs:** https://hermes-agent.nousresearch.com/docs/\\n\\n## Quick Start\\n\\n```bash\\n# Install\\ncurl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash\\n\\n# Interactive chat (default)\\nhermes\\n\\n# Single query\\nhermes chat -q \\\"What is the capital of France?\\\"\\n\\n# Setup wizard\\nhermes setup\\n\\n# Change model/provider\\nhermes model\\n\\n# Check health\\nhermes doctor\\n```\\n\\n---\\n\\n## CLI Reference\\n\\n### Global Flags\\n\\n```\\nhermes [flags] [command]\\n\\n --version, -V Show version\\n --resume, -r SESSION Resume session by ID or title\\n --continue, -c [NAME] Resume by name, or most recent session\\n --worktree, -w Isolated git worktree mode (parallel agents)\\n --skills, -s SKILL Preload skills (comma-separate or repeat)\\n --profile, -p NAME Use a named profile\\n --yolo Skip dangerous command approval\\n --pass-session-id Include session ID in system prompt\\n```\\n\\nNo subcommand defaults to `chat`.\\n\\n### Chat\\n\\n```\\nhermes chat [flags]\\n -q, --query TEXT Single query, non-interactive\\n -m, --model MODEL Model (e.g. anthropic/claude-sonnet-4)\\n -t, --toolsets LIST Comma-separated toolsets\\n --provider PROVIDER Force provider (openrouter, anthropic, nous, etc.)\\n -v, --verbose Verbose output\\n -Q, --quiet Suppress banner, spinner, tool previews\\n --checkpoints Enable filesystem checkpoints (/rollback)\\n --source TAG Session source tag (default: cli)\\n```\\n\\n### Configuration\\n\\n```\\nhermes setup [section] Interactive wizard (model|terminal|gateway|tools|agent)\\nhermes model Interactive model/provider picker\\nhermes config View current config\\nhermes config edit Open config.yaml in $EDITOR\\nhermes config set KEY VAL Set a config value\\nhermes config path Print config.yaml path\\nhermes config env-path Print .env path\\nhermes config check Check for missing/outdated config\\nhermes config migrate Update config with new options\\nhermes login [--provider P] OAuth login (nous, openai-codex)\\nhermes logout Clear stored auth\\nhermes doctor [--fix] Check dependencies and config\\nhermes status [--all] Show component status\\n```\\n\\n### Tools & Skills\\n\\n```\\nhermes tools Interactive tool enable/disable (curses UI)\\nhermes tools list Show all tools and status\\nhermes tools enable NAME Enable a toolset\\nhermes tools disable NAME Disable a toolset\\n\\nhermes skills list List installed skills\\nhermes skills search QUERY Search the skills hub\\nhermes skills install ID Install a skill (ID can be a hub identifier OR a direct https://…/SKILL.md URL; pass --name to override when frontmatter has no name)\\nhermes skills inspect ID Preview without installing\\nhermes skills config Enable/disable skills per platform\\nhermes skills check Check for updates\\nhermes skills update Update outdated skills\\nhermes skills uninstall N Remove a hub skill\\nhermes skills publish PATH Publish to registry\\nhermes skills browse Browse all available skills\\nhermes skills tap add REPO Add a GitHub repo as skill source\\n```\\n\\n### MCP Servers\\n\\n```\\nhermes mcp serve Run Hermes as an MCP server\\nhermes mcp add NAME Add an MCP server (--url or --command)\\nhermes mcp remove NAME Remove an MCP server\\nhermes mcp list List configured servers\\nhermes mcp test NAME Test connection\\nhermes mcp configure NAME Toggle tool selection\\n```\\n\\n### Gateway (Messaging Platforms)\\n\\n```\\nhermes gateway run Start gateway foreground\\nhermes gateway install Install as background service\\nhermes gateway start/stop Control the service\\nhermes gateway restart Restart the service\\nhermes gateway status Check status\\nhermes gateway setup Configure platforms\\n```\\n\\nSupported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, BlueBubbles (iMessage), Weixin (WeChat), API Server, Webhooks. Open WebUI connects via the API Server adapter.\\n\\nPlatform docs: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/\\n\\n**Telegram setup:** See `references/telegram-gateway-setup.md` for the complete step-by-step configuration workflow.\\n\\n### Sessions\\n\\n```\\nhermes sessions list List recent sessions\\nhermes sessions browse Interactive picker\\nhermes sessions export OUT Export to JSONL\\nhermes sessions rename ID T Rename a session\\nhermes sessions delete ID Delete a session\\nhermes sessions prune Clean up old sessions (--older-than N days)\\nhermes sessions stats Session store statistics\\n```\\n\\n### Cron Jobs\\n\\n```\\nhermes cron list List jobs (--all for disabled)\\nhermes cron create SCHED Create: '30m', 'every 2h', '0 9 * * *'\\nhermes cron edit ID Edit schedule, prompt, delivery\\nhermes cron pause/resume ID Control job state\\nhermes cron run ID Trigger on next tick\\nhermes cron remove ID Delete a job\\nhermes cron status Scheduler status\\n```\\n\\n### Webhooks\\n\\n```\\nhermes webhook subscribe N Create route at /webhooks/\\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 Run prompt in background\\n/queue Queue for next turn\\n/steer 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 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//` 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 ` — `status`, `run`, `pause`, `resume`,\\n `pin`, `unpin`, `archive`, `restore`, `prune`, `backup`, `rollback`.\\n- **Slash:** `/curator ` 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 `; 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 \\nhermes config set auxiliary.vision.model \\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_HaDHg90Dw4zzBiArDIlWF4yT" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_XyObQvzYZz53bSCbPrsd4YAe", "call_id": "call_XyObQvzYZz53bSCbPrsd4YAe", "response_item_id": "fc_0a7c047520117fa0016a05b06358648191988b70867b51994e", "type": "function", "function": { "name": "session_search", "arguments": "{\"query\":\"\\\"Dieses Topic heisst\\\" OR \\\"Dieses Topic heißt\\\" OR \\\"Nutze diesen Thread\\\" OR \\\"JARVIS Command Center\\\"\",\"role_filter\":\"user,assistant\",\"limit\":5}" } }, { "id": "call_lPQO7aKkzqaZNGgozbISQdE9", "call_id": "call_lPQO7aKkzqaZNGgozbISQdE9", "response_item_id": "fc_0a7c047520117fa0016a05b063587881918526537da5cf2808", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/.hermes/channel_directory.json\",\"limit\":200}" } }, { "id": "call_8oyihYtWiWEx4eBTnqZ9n4v2", "call_id": "call_8oyihYtWiWEx4eBTnqZ9n4v2", "response_item_id": "fc_0a7c047520117fa0016a05b06358888191917f36812407bc27", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_memory/02_telegram_topics.md\",\"limit\":120}" } } ] }, { "role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"\\\"Dieses Topic heisst\\\" OR \\\"Dieses Topic heißt\\\" OR \\\"Nutze diesen Thread\\\" OR \\\"JARVIS Command Center\\\"\", \"results\": [{\"session_id\": \"20260514_122640_e6dfd687\", \"when\": \"May 14, 2026 at 12:26 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer richtete in Telegram ein neues Topic im **JARVIS Command Center** ein und bat darum, ausschließlich in diesem Topic zu antworten.\\n\\n### 1. Anliegen des Nutzers\\nDer Nutzer schrieb:\\n\\n- „Bitte antworte nur in diesem Topic.“\\n- „Dieses Topic heisst: Research & AI Nutzung.“\\n- „Nutze diesen Thread für Recherche, ChatGPT-, Hermes-, Gemini-, Codex- und KI-Fragen, Toolvergleiche, Prompting, Modellwahl und allgemeine Wissensrecherche.“\\n- Er bat um eine kurze Bestätigung, dass dieser Thread als eigene Session behandelt werden solle.\\n\\nZiel war also, das Telegram-Topic **„Research & AI Nutzung“** als separate Session für Recherche- und KI-bezogene Fragen zu definieren.\\n\\n### 2. Aktionen und Ergebnisse\\nDer Assistant versuchte zunächst, diese Routing-/Session-Regel in Memory zu speichern.\\n\\n- Erster Memory-Schreibversuch scheiterte wegen Speicherlimit:\\n - Fehler: `Memory at 2,138/2,200 chars. Adding this entry (299 chars) would exceed the limit. Replace or remove existing entries first.`\\n- Zweiter Versuch, vorhandene Einträge zu ersetzen, scheiterte ebenfalls:\\n - Fehler: `Replacement would put memory at 2,257/2,200 chars. Shorten the new content or remove other entries first.`\\n- Dritter Versuch war erfolgreich. Dabei wurde der vorhandene Telegram-Topic-Memory-Eintrag komprimiert/ersetzt.\\n\\nNeu gespeicherter relevanter Memory-Eintrag:\\n\\n```text\\nTelegram topics: 6=\\\"Inbox / Allgemeines\\\"; 17=\\\"Research & AI Nutzung\\\" for research, AI/model/tool/prompting questions. Treat topics as separate sessions; reply only in active/requested topic.\\n```\\n\\nMemory-Status danach:\\n\\n```text\\nusage: 97% — 2,134/2,200 chars\\nentry_count: 23\\nmessage: Entry replaced.\\n```\\n\\n### 3. Entscheidungen / Schlussfolgerungen\\nEs wurde festgelegt:\\n\\n- Telegram Topic **6** blieb:\\n - `Inbox / Allgemeines`\\n - Für schnelle Fragen, Triage, Smalltalk und unklassifizierte Themen.\\n- Telegram Topic **17** wurde neu als:\\n - `Research & AI Nutzung`\\n - Für Recherche, KI-/Modell-/Tool-/Prompting-Fragen.\\n- Telegram Topics sollten als **separate Sessions** behandelt werden.\\n- Der Assistant sollte nur im aktiven bzw. ausdrücklich gewünschten Topic antworten.\\n\\n### 4. Wichtige technische Details\\nRelevante gespeicherte Memory-Zeile:\\n\\n```text\\nTelegram topics: 6=\\\"Inbox / Allgemeines\\\"; 17=\\\"Research & AI Nutzung\\\" for research, AI/model/tool/prompting questions. Treat topics as separate sessions; reply only in active/requested topic.\\n```\\n\\nDie ursprüngliche spezifische Topic-Beschreibung des Nutzers lautete sinngemäß:\\n\\n```text\\nDieses Topic heisst: Research & AI Nutzung.\\nNutze diesen Thread für Recherche, ChatGPT-, Hermes-, Gemini-, Codex- und KI-Fragen, Toolvergleiche, Prompting, Modellwahl und allgemeine Wissensrecherche.\\n```\\n\\n### 5. Abschluss / Offenes\\nDer Assistant bestätigte anschließend kurz auf Deutsch:\\n\\n```text\\nBestätigt, Sir.\\n\\nIch behandle dieses Topic „Research & AI Nutzung“ ab sofort als eigene Session und nutze nur diesen Thread für Recherche-, KI-, Modell-, Tool-, Prompting-, ChatGPT-, Hermes-, Gemini- und Codex-Fragen.\\n```\\n\\nEs blieb nichts Wesentliches offen. Notabel war lediglich, dass der Memory-Speicher fast voll war und die Regel nur durch Komprimierung/Ersetzung eines bestehenden Telegram-Topic-Eintrags gespeichert werden konnte.\"}, {\"session_id\": \"20260514_124057_e408da8c\", \"when\": \"May 14, 2026 at 12:40 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer bat darum, **nur in diesem Telegram-Topic** zu antworten und dieses Topic als eigene Session zu behandeln.\\n\\n### 1. Anliegen des Nutzers\\nDer Nutzer definierte das Topic mit dem Namen:\\n\\n> **„Politik Windisch“**\\n\\nEr wollte diesen Thread künftig für seine Arbeit als **Einwohnerrat in Windisch** nutzen, insbesondere für:\\n\\n- politische Strategie\\n- Vorstösse\\n- Argumentation\\n- lokale Themen\\n- Sitzungen\\n- Reden\\n- Texte\\n- Positionierung\\n- Recherche zu kommunalen Fragen\\n\\nEr bat um eine kurze Bestätigung, dass dieser Thread als eigene Session behandelt werden solle.\\n\\n### 2. Aktionen und Ergebnisse\\nDer Assistant versuchte zunächst, die neue Topic-Zuordnung in der Memory zu speichern. Der erste Memory-Call schlug fehl, weil das Memory-Limit fast erreicht war:\\n\\n```json\\n\\\"Memory at 2,165/2,200 chars. Adding this entry (235 chars) would exceed the limit. Replace or remove existing entries first.\\\"\\n```\\n\\nDaraufhin wurde ein bestehender Memory-Eintrag zu den Telegram-Topics ersetzt bzw. komprimiert. Der zweite Memory-Call war erfolgreich.\\n\\n### 3. Entscheidungen / Lösungen / Schlussfolgerungen\\nDie Telegram-Topic-Zuordnung wurde aktualisiert. Wichtig war insbesondere die neue Zuordnung:\\n\\n```text\\n3=Politik Windisch\\n```\\n\\nmit Beschreibung:\\n\\n```text\\nEinwohnerrat: Strategie, Vorstösse, Argumentation, lokale Themen, Sitzungen, Reden, Texte, Positionierung, kommunale Recherche\\n```\\n\\nDer Assistant bestätigte dem Nutzer anschliessend:\\n\\n> Dieses Topic behandle ich ab jetzt als eigene Session **„Politik Windisch“** — ausschliesslich für deine Arbeit als Einwohnerrat in Windisch.\\n\\n### 4. Wichtige technische Details\\nDer aktualisierte Memory-Eintrag lautete sinngemäss:\\n\\n```text\\nTelegram topics separat beantworten:\\n2=Finanzen;\\n3=Politik Windisch (Einwohnerrat: Strategie, Vorstösse, Argumentation, lokale Themen, Sitzungen, Reden, Texte, Positionierung, kommunale Recherche);\\n6=Inbox;\\n8=Health-Tech;\\n11=JARVIS-System;\\n16=Cronjobs;\\n17=Research/AI/tools.\\n```\\n\\nDer Memory-Status nach erfolgreichem Update lag bei:\\n\\n```text\\n98% — 2,173/2,200 chars\\n```\\n\\n### 5. Offen / Notabel\\nEs blieb nichts Inhaltliches offen. Notabel war lediglich, dass das Memory sehr voll war und nur durch Ersetzen/Komprimieren eines bestehenden Topic-Eintrags aktualisiert werden konnte.\"}, {\"session_id\": \"20260514_125322_4f06b385\", \"when\": \"May 14, 2026 at 12:53 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer richtete in Telegram ein neues Topic als eigene Session ein:\\n\\n- **Topic-Name:** „Geschäftliches (Gasser Bauunternehmung)“\\n- Er bat ausdrücklich: **„Bitte antworte nur in diesem Topic.“**\\n- Zweck des Threads: geschäftliche Themen rund um die **Gasser Bauunternehmung**, bei der der Nutzer **Gesellschafter** ist.\\n- Genannte Themenbereiche:\\n - Strategie\\n - Prozesse\\n - Kommunikation\\n - Organisation\\n - Optimierungen\\n - Baustellen-/Projektfragen\\n - geschäftliche Analysen\\n\\nDer Nutzer bat um kurze Bestätigung, dass dieser Thread als eigene Session behandelt werden solle.\\n\\nEs wurden anschließend mehrere Memory-Operationen versucht:\\n\\n1. Der erste Versuch, die neue Topic-Zuordnung in die Memory aufzunehmen, schlug fehl:\\n - Fehler: `Memory at 2,153/2,200 chars. Adding this entry (288 chars) would exceed the limit. Replace or remove existing entries first.`\\n\\n2. Ein zweiter Replacement-Versuch schlug ebenfalls fehl:\\n - Fehler: `Replacement would put memory at 2,236/2,200 chars. Shorten the new content or remove other entries first.`\\n\\n3. Danach wurde die bestehende Telegram-Topic-Memory erfolgreich komprimiert/ersetzt.\\n - Die aktualisierte relevante Memory-Zeile lautete sinngemäß:\\n - `Telegram topics separat beantworten: 2=Finanzen; 3=Politik Windisch; 5=Business/ERNE; 6=Inbox; 8=Health-Tech; 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools; 20=Business/Gasser Bauunternehmung (Sir Gesellschafter; Strategie, Prozesse, Kommunikation, Organisation, Baustellen/Projekte, Analysen).`\\n - Outcome:\\n - `success: true`\\n - Memory-Auslastung danach: `99% — 2,199/2,200 chars`\\n - `entry_count: 22`\\n - Message: `Entry replaced.`\\n\\nAbschließend bestätigte der Assistant dem Nutzer kurz:\\n\\n- Das Topic werde ab sofort als eigene Session für **Geschäftliches – Gasser Bauunternehmung** behandelt.\\n- Es umfasse Strategie, Prozesse, Kommunikation, Organisation, Optimierungen, Baustellen-/Projektfragen und geschäftliche Analysen.\\n- Der Assistant werde hierzu **nur in diesem Thread** antworten.\\n\\nWichtige technische Details:\\n- Telegram Topic-ID für dieses neue Geschäftsthema wurde in der Memory als **Topic 20 = Business/Gasser Bauunternehmung** gespeichert.\\n- Bereits bestehende Topic-Zuordnungen blieben erhalten, wurden aber gekürzt, insbesondere `5=Business/ERNE`.\\n- Die Memory war nahezu voll; die erfolgreiche Lösung bestand darin, die bestehende Telegram-Topic-Zeile zu verdichten statt zusätzliche Einträge anzulegen.\\n\\nOffen/notabel:\\n- Die Memory war nach dem Update praktisch voll (`2,199/2,200 chars`), sodass künftige Memory-Erweiterungen wahrscheinlich erneute Kürzungen oder Bereinigungen benötigen.\\n- Kein weiterer fachlicher Inhalt zur Gasser Bauunternehmung wurde in dieser Session besprochen; es ging nur um die Einrichtung und Bestätigung des neuen Topics.\"}, {\"session_id\": \"20260514_123856_9c9cf188\", \"when\": \"May 14, 2026 at 12:38 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer wollte ein Telegram-Topic als eigenständige Session festlegen.\\n\\n- **Topic/Thread:** „Finanzen – Fragen & Strategie“\\n- **Anweisung des Nutzers:** \\n Der Assistent sollte **nur in diesem Topic antworten** und diesen Thread für finanzielle Themen nutzen:\\n - finanzielle Fragen\\n - Budget\\n - Vorsorge\\n - Steuern\\n - Versicherungen\\n - Investitionen\\n - finanzielle Planung\\n - strategische Entscheidungen\\n\\n- **Abgrenzung:** \\n Technische Finanzskripte, Dashboards und Datenmodelle sollten **nicht** in dieses Topic gehören, sondern in:\\n - **„Finance System – Architektur & Scripts“**\\n\\n- **Aktion des Assistenten:** \\n Der Assistent versuchte zunächst, die Information in Memory zu speichern. Der erste Memory-Write scheiterte mit:\\n - `Replacement would put memory at 2,418/2,200 chars. Shorten the new content or remove other entries first.`\\n\\n Danach wurde ein gekürzter Memory-Eintrag erfolgreich gespeichert. Wichtig war dabei insbesondere die neue Routing-Regel:\\n - `Telegram topics separat beantworten: 2=Finanzen–Fragen/Strategie (Budget, Vorsorge, Steuern, Versicherungen, Investments; Technik nach Finance System); 6=Inbox; 8=Health-Tech (Architektur/Scripts; keine Therapie); 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools.`\\n\\n- **Bestätigung durch den Assistenten:** \\n Der Assistent bestätigte kurz, dass er das Topic **„Finanzen – Fragen & Strategie“** als eigene Session behandelt und dort nur zu finanziellen Themen antwortet. Außerdem bestätigte er die saubere Trennung technischer Finanzthemen in **„Finance System – Architektur & Scripts“**.\\n\\n- **Ergebnis / Entscheidung:** \\n Das Telegram-Topic wurde als separater Kontext für strategische und persönliche Finanzfragen eingerichtet. Technische Finance-System-Themen wurden explizit ausgeschlossen und einem anderen Topic zugeordnet.\\n\\n- **Offen / Notabel:** \\n Es gab keine fachliche Finanzfrage in diesem Transcript, nur die Session-/Topic-Konfiguration. Ein Memory-Limit trat auf, wurde aber durch eine erfolgreich gekürzte Speicherung gelöst.\"}, {\"session_id\": \"20260514_124354_b4098f79\", \"when\": \"May 14, 2026 at 12:43 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer richtete in Telegram ein neues Topic als separate Session ein.\\n\\n1. **Anliegen des Nutzers**\\n - Der Nutzer bat: „Bitte antworte nur in diesem Topic.“\\n - Er definierte das Topic als: **„Geschäftliches (ERNE)”**.\\n - Der Thread sollte künftig für geschäftliche Themen rund um seine Arbeit als **Teamleiter bei ERNE AG Holzbau** genutzt werden.\\n - Genannte Themenbereiche waren:\\n - berufliche Strategie\\n - Kommunikation\\n - Prozesse\\n - Optimierungen\\n - Führungsfragen\\n - operative Themen\\n - geschäftliche Analysen\\n - Er bat um eine kurze Bestätigung, dass dieser Thread als eigene Session behandelt werden soll.\\n\\n2. **Aktionen und Ergebnisse**\\n - Der Assistant versuchte zunächst, die neue Topic-Zuordnung in die Memory zu schreiben.\\n - Der erste Memory-Aufruf scheiterte wegen Speicherlimit:\\n - Fehler: `Memory at 2,173/2,200 chars. Adding this entry (315 chars) would exceed the limit. Replace or remove existing entries first.`\\n - Danach wurde ein bestehender Memory-Eintrag ersetzt bzw. verdichtet.\\n - Der aktualisierte Memory-Eintrag enthielt danach die Telegram-Topic-Zuordnung:\\n - `Telegram topics separat beantworten: 2=Finanzen; 3=Politik Windisch; 5=Geschäftliches/ERNE (Teamleiter Holzbau, Strategie, Kommunikation, Prozesse, Führung, operative Analysen); 6=Inbox; 8=Health-Tech; 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools.`\\n - Die Memory-Aktualisierung war erfolgreich:\\n - `success: true`\\n - Nutzung danach: `97% — 2,153/2,200 chars`\\n - `message: \\\"Entry replaced.\\\"`\\n\\n3. **Entscheidungen / Schlussfolgerungen**\\n - Das Telegram-Topic mit der ID **5** wurde als eigene Session für **Geschäftliches / ERNE** festgelegt.\\n - Der Assistant bestätigte dem Nutzer, dass dieses Topic künftig separat behandelt werde.\\n - Der Assistant bestätigte außerdem, dass geschäftliche ERNE-Themen nur in diesem Thread beantwortet werden sollen.\\n\\n4. **Wichtige technische Details**\\n - Relevanter Memory-Eintrag nach der Änderung:\\n - `Telegram topics separat beantworten: 2=Finanzen; 3=Politik Windisch; 5=Geschäftliches/ERNE (Teamleiter Holzbau, Strategie, Kommunikation, Prozesse, Führung, operative Analysen); 6=Inbox; 8=Health-Tech; 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools.`\\n - Der Memory war nahezu voll, weshalb eine Ersetzung statt einer einfachen Ergänzung nötig war.\\n - Bereits vorhandene Memory-Inhalte umfassten u. a. JARVIS-Memory-Architektur, Google Workspace/gog-Konfiguration, Kalender-Zeitzonenregeln, Todoist-Token-Pfad und weitere Telegram-Topic-Zuordnungen. Ein im Transcript sichtbares Passwort wurde nicht weiter verwendet.\\n\\n5. **Offen / Notabel**\\n - Die Einrichtung des Topics wurde abgeschlossen.\\n - Es blieb nichts Inhaltliches offen.\\n - Notabel war lediglich das knappe Memory-Limit, das eine Verdichtung/Ersetzung bestehender Erinnerungen erforderlich machte.\"}], \"count\": 5, \"sessions_searched\": 5}", "tool_call_id": "call_XyObQvzYZz53bSCbPrsd4YAe" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|{\\n 2| \\\"updated_at\\\": \\\"2026-05-14T13:21:12.216553\\\",\\n 3| \\\"platforms\\\": {\\n 4| \\\"telegram\\\": [\\n 5| {\\n 6| \\\"id\\\": \\\"1344779884\\\",\\n 7| \\\"name\\\": \\\"M G\\\",\\n 8| \\\"type\\\": \\\"dm\\\",\\n 9| \\\"thread_id\\\": null\\n 10| },\\n 11| {\\n 12| \\\"id\\\": \\\"-1003907117629:4\\\",\\n 13| \\\"name\\\": \\\"JARVIS Command Center / topic 4\\\",\\n 14| \\\"type\\\": \\\"group\\\",\\n 15| \\\"thread_id\\\": \\\"4\\\"\\n 16| },\\n 17| {\\n 18| \\\"id\\\": \\\"-1003907117629:6\\\",\\n 19| \\\"name\\\": \\\"JARVIS Command Center / topic 6\\\",\\n 20| \\\"type\\\": \\\"group\\\",\\n 21| \\\"thread_id\\\": \\\"6\\\"\\n 22| },\\n 23| {\\n 24| \\\"id\\\": \\\"-1003907117629:17\\\",\\n 25| \\\"name\\\": \\\"JARVIS Command Center / topic 17\\\",\\n 26| \\\"type\\\": \\\"group\\\",\\n 27| \\\"thread_id\\\": \\\"17\\\"\\n 28| },\\n 29| {\\n 30| \\\"id\\\": \\\"-1003907117629:16\\\",\\n 31| \\\"name\\\": \\\"JARVIS Command Center / topic 16\\\",\\n 32| \\\"type\\\": \\\"group\\\",\\n 33| \\\"thread_id\\\": \\\"16\\\"\\n 34| },\\n 35| {\\n 36| \\\"id\\\": \\\"-1003907117629:11\\\",\\n 37| \\\"name\\\": \\\"JARVIS Command Center / topic 11\\\",\\n 38| \\\"type\\\": \\\"group\\\",\\n 39| \\\"thread_id\\\": \\\"11\\\"\\n 40| },\\n 41| {\\n 42| \\\"id\\\": \\\"-1003907117629:8\\\",\\n 43| \\\"name\\\": \\\"JARVIS Command Center / topic 8\\\",\\n 44| \\\"type\\\": \\\"group\\\",\\n 45| \\\"thread_id\\\": \\\"8\\\"\\n 46| },\\n 47| {\\n 48| \\\"id\\\": \\\"-1003907117629:2\\\",\\n 49| \\\"name\\\": \\\"JARVIS Command Center / topic 2\\\",\\n 50| \\\"type\\\": \\\"group\\\",\\n 51| \\\"thread_id\\\": \\\"2\\\"\\n 52| },\\n 53| {\\n 54| \\\"id\\\": \\\"-1003907117629:3\\\",\\n 55| \\\"name\\\": \\\"JARVIS Command Center / topic 3\\\",\\n 56| \\\"type\\\": \\\"group\\\",\\n 57| \\\"thread_id\\\": \\\"3\\\"\\n 58| },\\n 59| {\\n 60| \\\"id\\\": \\\"-1003907117629:5\\\",\\n 61| \\\"name\\\": \\\"JARVIS Command Center / topic 5\\\",\\n 62| \\\"type\\\": \\\"group\\\",\\n 63| \\\"thread_id\\\": \\\"5\\\"\\n 64| },\\n 65| {\\n 66| \\\"id\\\": \\\"-1003907117629:20\\\",\\n 67| \\\"name\\\": \\\"JARVIS Command Center / topic 20\\\",\\n 68| \\\"type\\\": \\\"group\\\",\\n 69| \\\"thread_id\\\": \\\"20\\\"\\n 70| },\\n 71| {\\n 72| \\\"id\\\": \\\"-1003907117629:19\\\",\\n 73| \\\"name\\\": \\\"JARVIS Command Center / topic 19\\\",\\n 74| \\\"type\\\": \\\"group\\\",\\n 75| \\\"thread_id\\\": \\\"19\\\"\\n 76| },\\n 77| {\\n 78| \\\"id\\\": \\\"-1003907117629:10\\\",\\n 79| \\\"name\\\": \\\"JARVIS Command Center / topic 10\\\",\\n 80| \\\"type\\\": \\\"group\\\",\\n 81| \\\"thread_id\\\": \\\"10\\\"\\n 82| }\\n 83| ],\\n 84| \\\"discord\\\": [],\\n 85| \\\"whatsapp\\\": [],\\n 86| \\\"slack\\\": [],\\n 87| \\\"signal\\\": [],\\n 88| \\\"mattermost\\\": [],\\n 89| \\\"matrix\\\": [],\\n 90| \\\"homeassistant\\\": [],\\n 91| \\\"email\\\": [],\\n 92| \\\"sms\\\": [],\\n 93| \\\"dingtalk\\\": [],\\n 94| \\\"msgraph_webhook\\\": [],\\n 95| \\\"feishu\\\": [],\\n 96| \\\"wecom\\\": [],\\n 97| \\\"wecom_callback\\\": [],\\n 98| \\\"weixin\\\": [],\\n 99| \\\"bluebubbles\\\": [],\\n 100| \\\"qqbot\\\": [],\\n 101| \\\"yuanbao\\\": [],\\n 102| \\\"google_chat\\\": [],\\n 103| \\\"irc\\\": [],\\n 104| \\\"line\\\": [],\\n 105| \\\"teams\\\": []\\n 106| }\\n 107|}\", \"total_lines\": 106, \"file_size\": 2478, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_lPQO7aKkzqaZNGgozbISQdE9" }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|# 02 Telegram Topics\\n 2|\\n 3|_Last updated: 2026-05-14_\\n 4|\\n 5|## Purpose\\n 6|Canonical topic map and routing policy for the Telegram group **JARVIS Command Center**. Use this card for topic selection, cross-topic routing, cron delivery targets, and session boundaries.\\n 7|\\n 8|## Load when\\n 9|- User asks about Telegram topic structure, routing, cron delivery, gateway sessions, or where a task belongs.\\n 10|- A request appears to be in the wrong topic and needs a topic-change recommendation.\\n 11|- Creating or updating cron jobs, reports, briefings, or automated notifications.\\n 12|\\n 13|## Stable facts\\n 14|- Telegram group: `JARVIS Command Center`, chat id `-1003907117629`.\\n 15|- Hermes sees Telegram topics as separate targets/sessions via `chat_id:thread_id`.\\n 16|- Known topic targets currently discovered:\\n 17| - `-1003907117629:6` — Inbox / general triage.\\n 18| - `-1003907117629:11` — JARVIS System – Architektur.\\n 19| - `-1003907117629:16` — Automationen / Cronjobs.\\n 20| - `-1003907117629:17` — Research / AI / Tools.\\n 21| - Additional discovered topics without confirmed names yet: `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`.\\n 22|\\n 23|## Topic policies\\n 24|### Topic 6 — Inbox / General Triage\\n 25|Use for quick commands, unclassified requests, ad-hoc intake, and routing decisions. If a better specialist topic is clear, recommend the move or answer in the requested/obvious target topic.\\n 26|\\n 27|### Topic 11 — JARVIS System – Architektur\\n 28|Use for overall JARVIS/Hermes/FRIDAY architecture: agent architecture, Telegram topic structure, memory concept, model routing, subagents, OpenClaw, Codex, cost optimisation, and security/permission concepts.\\n 29|Do **not** use for concrete debugging of individual scripts; route those to a coding/system/debugging topic.\\n 30|\\n 31|### Topic 16 — Automationen / Cronjobs\\n 32|Use for scheduled jobs, briefings, recurring reports, checks, reminders, watchdogs, automation outputs, cron delivery design, and monitoring summaries.\\n 33|\\n 34|### Topic 17 — Research / AI / Tools\\n 35|Use for AI/tool research, model comparisons, new tools, papers, external sources, market/tech reconnaissance, and non-operational research notes.\\n 36|\\n 37|## Routing rules\\n 38|- Treat each topic as its own session and answer only in the active/requested topic unless the user explicitly asks for cross-topic delivery or the correct target is obvious.\\n 39|- When the user asks something in the wrong topic, prefer a short recommendation: “Besser in Topic X”. If the user asks to answer in the correct topic, send the substantive answer to that topic and keep only a short handoff note in the original topic.\\n 40|- For cron jobs, prefer explicit delivery targets (`telegram:-1003907117629:`) instead of bare `telegram`, unless Sir requests Home/DM delivery.\\n 41|- Keep topic-policy data durable here; do not rely on long chat history alone.\\n 42|\\n 43|## Context policy\\n 44|- Do not increase visible-message/context retention just to remember topic purpose. Use this card plus per-topic channel prompts.\\n 45|- Keep `compression.protect_last_n` moderately sized for recent conversational continuity; raise it only if recurring topic-local decisions are being lost before they are written to this card or `90_decisions_log.md`.\\n 46|\\n 47|## Open questions\\n 48|- Confirm human-readable names and policies for topics `2`, `3`, `4`, `5`, `8`, `10`, `19`, `20`.\\n 49|- Decide whether to add a dedicated Security/Permissions topic or keep it under Topic 11.\\n 50|- Decide whether to add a dedicated Coding/System-Debugging topic for script-level work.\\n 51|\", \"total_lines\": 50, \"file_size\": 3421, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_8oyihYtWiWEx4eBTnqZ9n4v2" }, { "role": "assistant", "content": "", "reasoning": "**Finding relevant sessions**\n\nI’m thinking about needing to gather more sessions for others. Maybe I should focus on topics like 8, 4, 10, or even 19. It feels like a good idea to narrow down my search to be more specific. I want to ensure I’m providing the best options, so let’s see what I can find on these topics. Getting the right sessions could really enhance the experience!", "finish_reason": "tool_calls", "reasoning_content": "**Finding relevant sessions**\n\nI’m thinking about needing to gather more sessions for others. Maybe I should focus on topics like 8, 4, 10, or even 19. It feels like a good idea to narrow down my search to be more specific. I want to ensure I’m providing the best options, so let’s see what I can find on these topics. Getting the right sessions could really enhance the experience!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBbCJCydS09ugXL-JIXINxERON2gthczuC5MIL6bBjM8kcGsv_A0HubFkyK5SALMFS-LfhxOCD1xtaJy5Br9cDY5XBK9ZOV2bUq7f8SZhXsOKBiqtzXY0rDB8DO4FlPdiE2Tq7M0tj8He3eUgW1sV1tDxqDvsWC8l4OZ0zELYpD7-JBznxU2PJQENp6hTj8dufxq-qDmen-PcTKMfo-6rkwGWn2M1j4Apr5t3f3nz7_ZEwcdPXEOAfDw4QqLLcTmBE5ftJERrX432pctci03B64hEQH6oE4mZqjcNhe6XZDdoSFhEgfkDDLHcmO3qKR_mlr1SNmlRu97m4ud4Ga4sTYYh-Q6CJslclbfWr_SO99TZoY6IC8mcKwILrNrppp4SjpzcZoTMVZGQarUWU6oSNymanbYtZ1DXySUFz6eOzn-zX26EZZp3fnSeEYgbDcipI_6fNHw0CjTqE_2XrH1x4MIyP1vyNWSy9SkXDKhYOLenh0U3NkDvj4s9HDWizOFSN3PVOuyMAWrvLlhfehRGUNn2ZmQfZT6y-tq0FEWEBK-U_2E0pNSLZxfxo-9RYAaPlcXi9O8nry59bYX7u_LZcPZX-imDxYfwPfe9xptGZ5kQtUzr1ON2EUX2qFtoG-AL13rZAZyEWrW1cwHDM6H9sgQ-M1Iyt6BHUtTkyubEiFWSshBeqwL3UcwrGmNvdtYqlGQ8_HCqXF6plixIGzMJnLCNScfjY71ewz0f9N6gx41SFkM7CJQ-yHpCUv9QXbDTmtjUGW2hztUJeLr8IGs_GD0eAiWrveTvG4c0wXnfBYrg76i6cL-w8D5_afCO6GnT6D_YG8fhAM4G0AokZk4DSKVms-afuux9-Olehm6bLc95A3hp7KGM3yTDWLv0ULDlV18Yfng8J9U7PPWfy5fsK9njxyCWSJqKBY4NzPy55ct_IDr363aDAzkdnyfHdemr8EKpAeiUouClNni6iHpQbExFURlylQmF-gQSeQrHIj0JJSKlFqkNYvtXAK7Hxh6KuRfR", "id": "rs_0a7c047520117fa0016a05b08669708191b11e4a6a7f538de5", "summary": [ { "type": "summary_text", "text": "**Finding relevant sessions**\n\nI’m thinking about needing to gather more sessions for others. Maybe I should focus on topics like 8, 4, 10, or even 19. It feels like a good idea to narrow down my search to be more specific. I want to ensure I’m providing the best options, so let’s see what I can find on these topics. Getting the right sessions could really enhance the experience!" } ] } ], "tool_calls": [ { "id": "call_PH5kNETMbF71xq6G8VnIXWRl", "call_id": "call_PH5kNETMbF71xq6G8VnIXWRl", "response_item_id": "fc_0a7c047520117fa0016a05b089efc4819196a094cdab538150", "type": "function", "function": { "name": "session_search", "arguments": "{\"limit\":5,\"query\":\"\\\"Health-Tech\\\" OR \\\"Finance System\\\" OR \\\"Architektur & Scripts\\\" OR \\\"Dieses Topic heisst\\\"\",\"role_filter\":\"user,assistant\"}" } }, { "id": "call_pUBlHmlMCRh5VdRrBEhsOjNY", "call_id": "call_pUBlHmlMCRh5VdRrBEhsOjNY", "response_item_id": "fc_0a7c047520117fa0016a05b089efdc8191be4189c326f343bf", "type": "function", "function": { "name": "session_search", "arguments": "{\"limit\":5,\"query\":\"\\\"Topic 4\\\" OR \\\"topic 4\\\" OR \\\"Topic 10\\\" OR \\\"topic 10\\\" OR \\\"Topic 19\\\" OR \\\"topic 19\\\"\",\"role_filter\":\"user,assistant\"}" } }, { "id": "call_GEEckFR0bqDBpKLBsQEMG2m7", "call_id": "call_GEEckFR0bqDBpKLBsQEMG2m7", "response_item_id": "fc_0a7c047520117fa0016a05b089efe48191b40407b3ab0356f9", "type": "function", "function": { "name": "session_search", "arguments": "{\"limit\":5,\"query\":\"\\\"Bitte antworte nur in diesem Topic\\\"\",\"role_filter\":\"user,assistant\"}" } } ] }, { "role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"\\\"Health-Tech\\\" OR \\\"Finance System\\\" OR \\\"Architektur & Scripts\\\" OR \\\"Dieses Topic heisst\\\"\", \"results\": [{\"session_id\": \"20260514_123856_9c9cf188\", \"when\": \"May 14, 2026 at 12:38 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"The user asked the assistant, in German, to respond only within a specific Telegram topic and to treat it as its own session.\\n\\nKey details:\\n\\n- The user declared: **„Dieses Topic heisst: Finanzen – Fragen & Strategie.“**\\n- They specified that this thread should be used for:\\n - Financial questions\\n - Budgeting\\n - Retirement planning / Vorsorge\\n - Taxes\\n - Insurance\\n - Investments\\n - Financial planning\\n - Strategic financial decisions\\n- They explicitly separated technical finance work from this topic:\\n - **Technical finance scripts, dashboards, and data models belonged in:** \\n **„Finance System – Architektur & Scripts“**\\n- The user asked for a short confirmation that the assistant should treat the thread as a separate session.\\n\\nActions taken:\\n\\n- The assistant attempted to update memory.\\n- The first memory update failed with the error:\\n - `Replacement would put memory at 2,418/2,200 chars. Shorten the new content or remove other entries first.`\\n- The assistant then performed a shorter memory update successfully.\\n- The successful memory entry included Telegram topic routing rules, notably:\\n - `2=Finanzen–Fragen/Strategie (Budget, Vorsorge, Steuern, Versicherungen, Investments; Technik nach Finance System)`\\n - `8=Health-Tech (Architektur/Scripts; keine Therapie)`\\n - Other topics such as Inbox, JARVIS-System, Cronjobs, and Research/AI/tools were also preserved.\\n\\nOutcome / conclusion:\\n\\n- The assistant confirmed that the topic **„Finanzen – Fragen & Strategie“** would be treated as a separate session.\\n- It agreed to answer there only on financial strategy topics.\\n- It also confirmed that technical finance-related implementation work would be kept separate and redirected to **„Finance System – Architektur & Scripts“**.\\n\\nImportant technical / routing details:\\n\\n- Telegram topic routing was updated in memory.\\n- Relevant topic separation:\\n - **Finanzen – Fragen & Strategie** = financial questions and strategy.\\n - **Finance System – Architektur & Scripts** = technical finance scripts, dashboards, and data models.\\n - **Health-Tech** = architecture/scripts only, not therapy.\\n- The final assistant response was:\\n - It confirmed the separate session.\\n - It restated the scope of the finance topic.\\n - It stated that technical finance scripts, dashboards, and data models would be separated into **Finance System – Architektur & Scripts**.\\n\\nNothing remained unresolved.\"}, {\"session_id\": \"20260514_125736_f9487c67\", \"when\": \"May 14, 2026 at 12:57 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"The user set up a dedicated Telegram topic/session named:\\n\\n**“Finance System – Architektur & Scripts”**\\n\\n### 1. User request / goal\\nThe user asked the assistant to answer only within this topic and to treat it as a separate session for the **technical architecture of their finance system**.\\n\\nThey clarified the intended scope:\\n- Import scripts\\n- Bank data\\n- CSV processing\\n- Data models\\n- Dashboards\\n- Reports\\n- Automations\\n- Error analysis\\n- Optimization\\n\\nThey explicitly distinguished this topic from financial strategy questions, which should primarily remain in **“Finanzen – Fragen & Strategie”**.\\n\\nThe user asked for a short confirmation that this thread should be handled as its own session.\\n\\n### 2. Actions taken and outcomes\\nThe assistant attempted to update memory with the new topic routing information.\\n\\n- The first memory write failed because the memory was nearly full:\\n - Error: `Memory at 2,142/2,200 chars. Adding this entry (308 chars) would exceed the limit. Replace or remove existing entries first.`\\n- The assistant then replaced the existing Telegram topic routing memory entry with a more compact updated version.\\n- The memory update succeeded.\\n\\nThe updated routing entry included:\\n- `2=Finanzstrategie`\\n- `8=Health-Tech`\\n- `10=Finance System Architektur/Scripts (technische Finanzsystem-Umsetzung, keine Strategie)`\\n- plus other Telegram topic mappings.\\n\\n### 3. Key decision / conclusion\\nThe assistant confirmed that the Telegram topic should be treated as its own dedicated session:\\n\\n**Finance System – Architektur & Scripts**\\n\\nThe assistant also confirmed the routing rule:\\n- Technical finance-system implementation belongs in this topic.\\n- Financial strategy questions should be routed to **“Finanzen – Fragen & Strategie”**.\\n\\n### 4. Important technical details\\nImportant topic-routing detail stored in memory:\\n\\n```text\\nTelegram topics separat beantworten:\\n2=Finanzstrategie;\\n8=Health-Tech;\\n10=Finance System Architektur/Scripts (technische Finanzsystem-Umsetzung, keine Strategie);\\n...\\n```\\n\\nThe assistant’s confirmation listed the allowed scope for this topic:\\n- Importskripte\\n- Bankdaten / CSV-Verarbeitung\\n- Datenmodelle\\n- Dashboards / Reports\\n- Automationen\\n- Fehleranalyse\\n- Optimierung\\n\\n### 5. Unresolved / notable\\nNothing remained unresolved. The main notable point was that the memory storage was almost full, requiring replacement of an existing entry instead of adding a new one.\"}, {\"session_id\": \"20260514_122340_6d5dca04\", \"when\": \"May 14, 2026 at 12:23 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"The user wanted to establish a dedicated Telegram topic/session named **„Gesundheit – Medizin & Strategie“** and ensure that replies stayed only within that topic.\\n\\nKey points from the conversation:\\n\\n1. **User request / goal**\\n - The user asked the assistant to confirm that the Telegram thread/topic should be treated as its own separate session.\\n - The topic was explicitly named: **„Gesundheit – Medizin & Strategie“**.\\n - The user defined the scope of this medical topic:\\n - medizinische Strategie\\n - Morbus Behçet\\n - Major Vessel Disease\\n - Thromboserisiko\\n - Medikamente\\n - Ernährung\\n - Symptome\\n - Laborwerte\\n - Arzttermine\\n - Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik\\n - The user also clearly separated technical work into another topic:\\n - **„Health System – Architektur & Scripts“**\\n - This was meant for technical system architecture, scripts, and data models.\\n\\n2. **Actions taken / outcomes**\\n - The assistant first briefly confirmed:\\n - **„Bestätigt, Sir.“**\\n - It stated that it would treat **„Gesundheit – Medizin & Strategie“** as its own session and answer only in that thread.\\n - On the second, more detailed request, the assistant loaded the **`jarvis-routing-policy`** skill.\\n - The routing policy included relevant health and safety rules:\\n - Health data was strictly confidential.\\n - Relevant health cards / DB context should be loaded before health answers when applicable.\\n - Caution was required for medications, anticoagulation, thrombosis/bleeding, infection, severe symptoms, or high-risk medical decisions.\\n - The assistant must not diagnose with certainty or override clinicians.\\n - The assistant then accessed memory and recorded/confirmed the session routing rule.\\n\\n3. **Key decision / conclusion**\\n - The topic **„Gesundheit – Medizin & Strategie“** was confirmed as a dedicated medical session.\\n - The assistant acknowledged the separation:\\n - **This topic:** medical strategy and clinical/health management.\\n - **Separate topic:** **„Health System – Architektur & Scripts“** for technical health-system architecture, scripts, and data models.\\n - The user’s broader health-management intent was reflected in memory:\\n - JARVIS should support consolidation of lab reports, clinical reports, nutrition/YAZIO data, daily health email data, symptoms, and events.\\n - Insights should become visible through dashboards/reports.\\n - Extracted lab values should follow a **4-eyes review workflow** before being treated as confirmed.\\n\\n4. **Important technical details**\\n - Skill loaded:\\n - **`jarvis-routing-policy`**\\n - Path shown: `/home/agent/.hermes/skills/jarvis-routing-policy/SKILL.md`\\n - Important routing-policy details:\\n - Health-related requests require confidentiality and caution.\\n - Finance and health decisions should not be automated.\\n - Qwen local worker was noted as read-only for extraction/summarization/classification:\\n - Endpoint port: `11435`\\n - Model alias: `qwen-3.6-agent`\\n - Helper script: `~/.hermes/scripts/qwen_readonly.py`\\n - Memory entry included:\\n - Telegram Topic **„Gesundheit – Medizin & Strategie“** was exclusively for medical strategy, Morbus Behçet, Major Vessel Disease, thrombosis risk, medications, nutrition, symptoms, lab values, appointments, and specialist questions.\\n - Technical Health-System architecture, scripts, and data models belonged in **„Health System – Architektur & Scripts“**.\\n\\n5. **Anything unresolved / notable**\\n - No medical question was discussed yet.\\n - No diagnosis, treatment advice, lab interpretation, or architecture work occurred.\\n - The main outcome was session/topic routing and boundary-setting between:\\n - **Medical strategy topic:** „Gesundheit – Medizin & Strategie“\\n - **Technical health-system topic:** „Health System – Architektur & Scripts“\"}, {\"session_id\": \"20260514_123734_fce9b443\", \"when\": \"May 14, 2026 at 12:37 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer richtete auf Telegram ein neues, separates Topic ein:\\n\\n**„Health System – Architektur & Scripts“**\\n\\nZweck des Topics war die technische Architektur und Umsetzung seines Gesundheitsmanagementsystems. Der Nutzer bat ausdrücklich darum, **nur in diesem Topic** zu antworten und es als eigene Session zu behandeln.\\n\\n### 1. Anliegen des Nutzers\\n\\nDer Nutzer definierte dieses Topic für technische Themen rund um sein Health-Tech-System, insbesondere:\\n\\n- technische Architektur\\n- Skripte\\n- Datenmodell\\n- Symptomtracking\\n- Laborwerte-Import\\n- Reports\\n- Automationen\\n- Cronjob-Anbindung\\n- Fehleranalyse\\n- Optimierung\\n\\nEr stellte außerdem klar, dass **medizinische Therapieentscheidungen** nicht hierher gehören, sondern primär in das separate Topic:\\n\\n**„Gesundheit – Medizin & Strategie“**\\n\\nHier sollte es ausschließlich um die **technische Umsetzung** gehen.\\n\\n### 2. Aktionen und Ergebnisse\\n\\nEs wurde versucht, die Topic-Zuordnung in der Memory zu speichern.\\n\\n- Der erste Memory-Write schlug fehl, weil die Memory fast voll war:\\n\\n ```json\\n \\\"Memory at 2,190/2,200 chars. Adding this entry (309 chars) would exceed the limit.\\\"\\n ```\\n\\n- Ein zweiter Versuch, bestehende Einträge zu ersetzen, schlug ebenfalls fehl:\\n\\n ```json\\n \\\"Replacement would put memory at 2,259/2,200 chars. Shorten the new content or remove other entries first.\\\"\\n ```\\n\\n- Danach wurde ein vorhandener Telegram-Topics-Eintrag erfolgreich verdichtet und ersetzt.\\n\\nDer neue relevante Memory-Eintrag lautete sinngemäß:\\n\\n```text\\nTelegram topics: 6=Inbox; 8=Health-System-Tech (Architektur, Scripts, Datenmodell, Tracking, Lab-Import, Reports, Automationen/Cronjobs, Debugging; keine Therapie); 11=JARVIS-System; 16=Automationen/Cronjobs; 17=Research/AI/tools. Topics separat beantworten.\\n```\\n\\nDie Memory-Nutzung lag danach bei:\\n\\n```text\\n98% — 2,157/2,200 chars\\n```\\n\\n### 3. Entscheidung / Schlussfolgerung\\n\\nDas Topic wurde als eigene technische Session bestätigt.\\n\\nWichtige Routing-Entscheidung:\\n\\n- **Dieses Topic / Topic 8**: technische Health-System-Umsetzung, Architektur, Scripts, Datenmodell, Tracking, Laborwerte, Reports, Automationen, Cronjobs, Debugging.\\n- **Nicht dieses Topic**: medizinische Therapie- oder Strategieentscheidungen.\\n- Medizinische Inhalte sollen stattdessen in **„Gesundheit – Medizin & Strategie“** behandelt werden.\\n\\n### 4. Wichtige technische Details\\n\\nRelevanter Topic-Name:\\n\\n```text\\nHealth System – Architektur & Scripts\\n```\\n\\nRelevanter gespeicherter Topic-Alias:\\n\\n```text\\nHealth-System-Tech\\n```\\n\\nRelevante Telegram-Topic-Zuordnung:\\n\\n```text\\n8 = Health-System-Tech\\n```\\n\\nScope des Topics:\\n\\n```text\\nArchitektur, Scripts, Datenmodell, Tracking, Lab-Import, Reports,\\nAutomationen/Cronjobs, Debugging; keine Therapie\\n```\\n\\nEs existierten bereits andere Topic-Zuordnungen:\\n\\n```text\\n6 = Inbox\\n11 = JARVIS-System\\n16 = Automationen/Cronjobs\\n17 = Research/AI/tools\\n```\\n\\n### 5. Notables / Offen geblieben\\n\\n- Die Memory war nahezu voll, weshalb der Eintrag nur durch Kürzen/Ersetzen eines bestehenden Topic-Eintrags gespeichert werden konnte.\\n- Keine konkrete technische Implementierung wurde in dieser Session begonnen.\\n- Es wurde lediglich die Session-/Topic-Struktur bestätigt und persistent in der Memory aktualisiert.\\n- Sensible bestehende Credential-/Key-Informationen waren in der Memory vorhanden, wurden aber inhaltlich nicht bearbeitet.\"}, {\"session_id\": \"20260514_125636_557711ab\", \"when\": \"May 14, 2026 at 12:56 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"The user asked to define and confirm a Telegram topic as its own private session.\\n\\nKey points:\\n\\n1. **User request**\\n - The user wrote in German and instructed: **“Bitte antworte nur in diesem Topic.”**\\n - They named the topic: **“Family – Wife & Kids.”**\\n - They specified the intended use:\\n - Familienorganisation\\n - private Planung\\n - Termine\\n - To-dos\\n - Ideen\\n - Alltagsthemen\\n - Themen rund um Frau und Kinder\\n - They requested that this thread be treated as especially private and restrained.\\n - They explicitly instructed not to pull content from other topics unless asked.\\n - They asked for a short confirmation that this thread should be treated as its own session.\\n\\n2. **Actions taken**\\n - The assistant loaded the `jarvis-routing-policy` skill via `skill_view`.\\n - The routing policy described memory domain handling, safety boundaries, finance/health rules, Qwen read-only usage, OpenClaw restrictions, and model fallback policy.\\n - The assistant attempted to write/update memory, but the first memory write failed because memory was almost full:\\n - Error: `Memory at 2,199/2,200 chars. Adding this entry (277 chars) would exceed the limit. Replace or remove existing entries first.`\\n - The assistant then successfully replaced/updated the memory entry for Telegram topic routing.\\n\\n3. **Outcome / decision**\\n - A durable routing rule was updated to include the new Telegram topic:\\n - `19=Family–Wife&Kids privat, keine anderen Topics ohne Bitte`\\n - Existing topic mappings remained in the compact memory entry, including:\\n - `2=Finanzen`\\n - `3=Politik Windisch`\\n - `5=Business/ERNE`\\n - `6=Inbox`\\n - `8=Health-Tech`\\n - `11=JARVIS-System`\\n - `16=Cronjobs`\\n - `17=Research/AI/tools`\\n - `20=Business/Gasser`\\n - The assistant then confirmed to the user that the topic would be treated as its own session.\\n\\n4. **Important technical details**\\n - Skill loaded:\\n - `jarvis-routing-policy/SKILL.md`\\n - Path: `/home/agent/.hermes/skills/jarvis-routing-policy`\\n - The policy referenced:\\n - Local Qwen endpoint: Tailscale/OpenAI-compatible port `11435`\\n - Model alias: `qwen-3.6-agent`\\n - Helper script: `~/.hermes/scripts/qwen_readonly.py`\\n - Memory architecture: `~/jarvis_memory`\\n - Memory usage after successful update:\\n - `97% — 2,142/2,200 chars`\\n - `entry_count: 22`\\n - A credential-like value appeared in the transcript inside existing memory content for `GOG_KEYRING_PASSWORD`; it should be treated as sensitive and not repeated.\\n\\n5. **Assistant’s final confirmation**\\n - The assistant replied in German:\\n - It confirmed that the topic **“Family – Wife & Kids”** would be handled as its own session.\\n - It stated that the thread would be used only for family/private organization and related matters.\\n - It confirmed that no content from other topics would be used unless the user explicitly requested it.\\n\\n6. **Unresolved / notable**\\n - Nothing remained unresolved.\\n - The notable system state was that global memory was near capacity, requiring replacement rather than simple addition.\\n - The main durable conclusion was the creation/recognition of Telegram topic **19** as the private **Family – Wife & Kids** topic.\"}], \"count\": 5, \"sessions_searched\": 5}", "tool_call_id": "call_PH5kNETMbF71xq6G8VnIXWRl" }, { "role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"\\\"Topic 4\\\" OR \\\"topic 4\\\" OR \\\"Topic 10\\\" OR \\\"topic 10\\\" OR \\\"Topic 19\\\" OR \\\"topic 19\\\"\", \"results\": [{\"session_id\": \"20260514_125736_f9487c67\", \"when\": \"May 14, 2026 at 12:57 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"The user asked in German to treat the Telegram thread as a separate session/topic named **“Finance System – Architektur & Scripts”**. They specified that this topic should be used only for the **technical architecture of their finance system**, including:\\n\\n- Import scripts\\n- Bank data\\n- CSV processing\\n- Data models\\n- Dashboards\\n- Reports\\n- Automations\\n- Error analysis\\n- Optimization\\n\\nThey clarified that **financial strategy questions** should remain primarily in **“Finanzen – Fragen & Strategie”**, not in this technical thread. The user asked for a short confirmation that the thread would be treated as its own session.\\n\\nActions taken:\\n- The assistant attempted to update memory, but the first memory write failed because memory was almost full:\\n - Error: `Memory at 2,142/2,200 chars. Adding this entry (308 chars) would exceed the limit. Replace or remove existing entries first.`\\n- The assistant then replaced/updated the existing Telegram topic routing memory entry successfully.\\n- The updated routing entry changed the Telegram topics list to include:\\n - `2=Finanzstrategie`\\n - `10=Finance System Architektur/Scripts (technische Finanzsystem-Umsetzung, keine Strategie)`\\n - `19=Family privat`\\n - plus the other existing topics.\\n\\nKey decision / conclusion:\\n- **Topic 10** was established as the dedicated Telegram topic for **technical finance system architecture and scripts**.\\n- **Topic 2** remained the place for finance strategy.\\n- **Topic 19** was still listed as private family-related content.\\n- No mention or configuration of **Topic 4** occurred in the transcript.\\n\\nImportant technical detail:\\n- The successful memory update resulted in this relevant entry:\\n\\n```text\\nTelegram topics separat beantworten: 2=Finanzstrategie; 3=Politik Windisch; 5=Business/ERNE; 6=Inbox; 8=Health-Tech; 10=Finance System Architektur/Scripts (technische Finanzsystem-Umsetzung, keine Strategie); 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools; 19=Family privat; 20=Business/Gasser.\\n```\\n\\nOutcome:\\n- The assistant confirmed that the thread would be handled as its own session:\\n - **“Finance System – Architektur & Scripts”**\\n- The assistant confirmed it would only cover the technical implementation areas listed by the user and would route finance strategy questions to **“Finanzen – Fragen & Strategie”**.\\n\\nUnresolved / notable:\\n- Memory usage remained extremely high after the update: `99% — 2,198/2,200 chars`.\\n- No further technical finance system work, scripts, files, commands, or architecture decisions were discussed in this transcript beyond setting up the topic routing.\"}, {\"session_id\": \"20260514_125636_557711ab\", \"when\": \"May 14, 2026 at 12:56 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"The user initiated a new Telegram topic and asked the assistant to respond only within that topic.\\n\\n1. **User request / goal**\\n - The user defined this thread as **“Family – Wife & Kids”**.\\n - The thread was intended for family organization, private planning, appointments, to-dos, ideas, daily-life matters, and topics concerning wife and children.\\n - The user explicitly requested that the assistant treat the thread as especially private and restrained.\\n - The user instructed the assistant not to pull in content from other topics unless explicitly asked.\\n - The user asked for a brief confirmation that this thread should be treated as its own session.\\n\\n2. **Actions taken / outcomes**\\n - The assistant loaded the `jarvis-routing-policy` skill.\\n - The assistant attempted to write a memory entry but initially failed because memory was at `2,199/2,200` characters and the new entry would exceed the limit.\\n - The assistant then replaced/updated the existing Telegram topic routing memory entry successfully.\\n - The updated memory included the new mapping:\\n - `19=Family–Wife&Kids privat, keine anderen Topics ohne Bitte`\\n - The assistant confirmed in German that the topic would be treated as its own session.\\n\\n3. **Key decisions / conclusions**\\n - **Topic 19** was established as the private family thread: **Family – Wife & Kids**.\\n - The assistant agreed to answer only within this topic for family/private matters.\\n - The assistant agreed not to use information from other topics unless the user explicitly requested it.\\n - The general Telegram topic routing memory was updated to include Topic 19.\\n\\n4. **Important technical details**\\n - Skill loaded:\\n - `jarvis-routing-policy`\\n - Path: `/home/agent/.hermes/skills/jarvis-routing-policy/SKILL.md`\\n - Initial memory write failed with:\\n - `Memory at 2,199/2,200 chars. Adding this entry (277 chars) would exceed the limit. Replace or remove existing entries first.`\\n - Successful memory replacement resulted in:\\n - Usage: `97% — 2,142/2,200 chars`\\n - Entry count: `22`\\n - Relevant updated memory entry:\\n - `Telegram topics separat beantworten: 2=Finanzen; 3=Politik Windisch; 5=Business/ERNE; 6=Inbox; 8=Health-Tech; 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools; 19=Family–Wife&Kids privat, keine anderen Topics ohne Bitte; 20=Business/Gasser.`\\n - A sensitive credential appeared in the memory/tool output, but it should not be repeated or exposed.\\n\\n5. **Unresolved / notable**\\n - No content related to **Topic 4** or **Topic 10** appeared in the conversation.\\n - The only relevant searched topic was **Topic 19**.\\n - The main notable issue was that the global memory was nearly full, requiring replacement rather than adding a new entry.\"}], \"count\": 2, \"sessions_searched\": 2}", "tool_call_id": "call_pUBlHmlMCRh5VdRrBEhsOjNY" }, { "role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"\\\"Bitte antworte nur in diesem Topic\\\"\", \"results\": [{\"session_id\": \"20260514_122340_6d5dca04\", \"when\": \"May 14, 2026 at 12:23 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer wollte festlegen, dass ein bestimmter Telegram-Thread als eigene Session behandelt wird und dass Antworten ausschließlich in diesem Topic erfolgen sollten.\\n\\n1. **Ziel / Anliegen des Nutzers**\\n - Der Nutzer bat darum, nur in diesem Topic zu antworten.\\n - Das Topic wurde benannt als: **„Gesundheit – Medizin & Strategie“**.\\n - Der Thread sollte für medizinische Strategie und gesundheitsbezogene Themen genutzt werden, insbesondere:\\n - Morbus Behçet\\n - Major Vessel Disease\\n - Thromboserisiko\\n - Medikamente\\n - Ernährung\\n - Symptome\\n - Laborwerte\\n - Arzttermine\\n - Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik\\n - Gleichzeitig grenzte der Nutzer technische Themen ab: Systemarchitektur, Skripte und Datenmodelle sollten nicht in diesen Thread, sondern in **„Health System – Architektur & Scripts“** gehören.\\n\\n2. **Durchgeführte Aktionen und Ergebnis**\\n - Der Assistent bestätigte zunächst kurz: **„Bestätigt, Sir.“**\\n - Danach wurde die Routing-Policy geladen (`jarvis-routing-policy`), insbesondere mit Regeln zu Health-Daten, Vertraulichkeit, medizinischen Risiken und Domain-Trennung.\\n - Anschließend wurde eine Memory-/User-Kontext-Aktualisierung vorgenommen.\\n - In der Memory wurde festgehalten, dass das Telegram-Topic **„Gesundheit – Medizin & Strategie“** ausschließlich für die medizinischen Themen des Nutzers genutzt werden soll und technische Health-System-Themen in **„Health System – Architektur & Scripts“** gehören.\\n - Der Assistent bestätigte danach erneut die Abgrenzung.\\n\\n3. **Wichtige Entscheidungen / Schlussfolgerungen**\\n - Das Topic **„Gesundheit – Medizin & Strategie“** wurde als eigenständige medizinische Session behandelt.\\n - Antworten sollten in diesem Kontext ausschließlich in diesem Thread erfolgen.\\n - Die inhaltliche Trennung wurde festgelegt:\\n - **Medizinische Inhalte hier**\\n - **Technische Architektur/Skripte/Datenmodelle im separaten Topic „Health System – Architektur & Scripts“**\\n - Gesundheitsdaten wurden als vertraulich behandelt; bei medizinischen Hochrisikothemen sollte vorsichtig agiert und ggf. professionelle medizinische Abklärung empfohlen werden.\\n\\n4. **Wichtige technische Details**\\n - Geladene Skill/Policy:\\n - `jarvis-routing-policy`\\n - Pfad: `/home/agent/.hermes/skills/jarvis-routing-policy/SKILL.md`\\n - Relevante Policy-Punkte:\\n - Health data is strictly confidential.\\n - Bei Medikamenten, Antikoagulation, Thrombose-/Blutungsrisiko, Infektionen oder schweren Symptomen vorsichtig antworten und ärztliche Eskalation empfehlen, wenn angebracht.\\n - Nicht mit Sicherheit diagnostizieren oder ärztliche Entscheidungen überschreiben.\\n - Memory-Eintrag wurde ergänzt mit:\\n - Telegram Topic **„Gesundheit – Medizin & Strategie“** ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik.\\n - Technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in **„Health System – Architektur & Scripts“**.\\n\\n5. **Offen / bemerkenswert**\\n - Es wurden keine konkreten medizinischen Fragen, Laborwerte, Symptome oder Behandlungsentscheidungen besprochen.\\n - Der Inhalt war organisatorisch: Thread-Abgrenzung, Session-Kontext und Routing-Regel.\\n - Die zentrale Vorgabe lautete: **„Bitte antworte nur in diesem Topic.“**\"}, {\"session_id\": \"20260514_122640_e6dfd687\", \"when\": \"May 14, 2026 at 12:26 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer bat im Telegram-Topic **„Research & AI Nutzung“** darum, dass der Assistent **nur in diesem Topic antworten** solle. Er definierte den Zweck des Threads als eigene Session für:\\n\\n- Recherche\\n- ChatGPT-, Hermes-, Gemini-, Codex- und allgemeine KI-Fragen\\n- Toolvergleiche\\n- Prompting\\n- Modellwahl\\n- allgemeine Wissensrecherche\\n\\nEr bat um eine kurze Bestätigung, dass dieser Thread als eigene Session behandelt werden solle.\\n\\nDaraufhin versuchte der Assistent, diese Topic-Regel in der Memory zu speichern. Der erste Speicher-Versuch schlug fehl, weil die Memory fast voll war:\\n\\n```json\\n\\\"Memory at 2,138/2,200 chars. Adding this entry (299 chars) would exceed the limit.\\\"\\n```\\n\\nEin zweiter Versuch, eine bestehende Memory zu ersetzen, schlug ebenfalls fehl:\\n\\n```json\\n\\\"Replacement would put memory at 2,257/2,200 chars. Shorten the new content or remove other entries first.\\\"\\n```\\n\\nAnschließend wurde eine bestehende Telegram-Topic-Memory erfolgreich gekürzt und ersetzt. Die neue relevante Memory lautete:\\n\\n```text\\nTelegram topics: 6=\\\"Inbox / Allgemeines\\\"; 17=\\\"Research & AI Nutzung\\\" for research, AI/model/tool/prompting questions. Treat topics as separate sessions; reply only in active/requested topic.\\n```\\n\\nDie Memory-Nutzung lag danach bei:\\n\\n```text\\n97% — 2,134/2,200 chars\\n```\\n\\nDer Assistent bestätigte dem Nutzer anschließend kurz auf Deutsch:\\n\\n```text\\nBestätigt, Sir.\\n\\nIch behandle dieses Topic „Research & AI Nutzung“ ab sofort als eigene Session und nutze nur diesen Thread für Recherche-, KI-, Modell-, Tool-, Prompting-, ChatGPT-, Hermes-, Gemini- und Codex-Fragen.\\n```\\n\\nWichtige Entscheidung: Das Telegram-Topic **17 = „Research & AI Nutzung“** wurde als separate Session für KI- und Recherchefragen festgelegt. Der Assistent sollte in diesem Kontext nur im aktiven bzw. angeforderten Topic antworten.\\n\\nOffen blieb nichts Wesentliches; die gewünschte Topic-Trennung wurde bestätigt und erfolgreich in der Memory hinterlegt.\"}, {\"session_id\": \"20260514_124057_e408da8c\", \"when\": \"May 14, 2026 at 12:40 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer bat auf Deutsch darum, nur in diesem Telegram-Topic zu antworten. Er definierte das Topic als **„Politik Windisch“** und erklärte, dass dieser Thread für seine Arbeit als **Einwohnerrat in Windisch** genutzt werden solle, insbesondere für:\\n\\n- politische Strategie\\n- Vorstösse\\n- Argumentation\\n- lokale Themen\\n- Sitzungen\\n- Reden\\n- Texte\\n- Positionierung\\n- Recherche zu kommunalen Fragen\\n\\nEr bat um eine kurze Bestätigung, dass dieser Thread als eigene Session behandelt werden solle.\\n\\nEs wurde versucht, diese Präferenz im Memory zu speichern. Der erste Memory-Aufruf schlug fehl, weil der Speicher fast voll war:\\n\\n- Fehler: `Memory at 2,165/2,200 chars. Adding this entry (235 chars) would exceed the limit. Replace or remove existing entries first.`\\n\\nDaraufhin wurde der bestehende Telegram-Topics-Memory-Eintrag ersetzt bzw. komprimiert. Der zweite Memory-Aufruf war erfolgreich. Der relevante Eintrag wurde aktualisiert zu:\\n\\n- `Telegram topics separat beantworten: 2=Finanzen; 3=Politik Windisch (Einwohnerrat: Strategie, Vorstösse, Argumentation, lokale Themen, Sitzungen, Reden, Texte, Positionierung, kommunale Recherche); 6=Inbox; 8=Health-Tech; 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools.`\\n\\nDie Assistant-Antwort bestätigte anschliessend kurz:\\n\\n- Das Topic werde als eigene Session **„Politik Windisch“** behandelt.\\n- Es sei ausschliesslich für die Arbeit als Einwohnerrat in Windisch gedacht.\\n- Der Assistant werde dort nur in diesem Topic antworten.\\n\\nWichtiges Ergebnis: Das Telegram-Topic **3** wurde als separater Kontext **„Politik Windisch“** gespeichert. Keine inhaltliche politische Recherche oder Ausarbeitung wurde in dieser Sitzung begonnen; es ging ausschliesslich um die Topic-/Session-Zuordnung.\"}, {\"session_id\": \"20260514_125322_4f06b385\", \"when\": \"May 14, 2026 at 12:53 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der User bat darum, **nur in diesem Telegram-Topic** zu antworten und dieses Topic als eigene Session zu behandeln.\\n\\n### 1. Anliegen des Users\\nDer User definierte das Topic als:\\n\\n**„Geschäftliches (Gasser Bauunternehmung)”**\\n\\nEs sollte künftig für geschäftliche Themen rund um die **Gasser Bauunternehmung** genutzt werden, bei welcher der User **Gesellschafter** war/ist. Genannte Themenbereiche waren:\\n\\n- Strategie\\n- Prozesse\\n- Kommunikation\\n- Organisation\\n- Optimierungen\\n- Baustellen-/Projektfragen\\n- geschäftliche Analysen\\n\\nDer User bat um eine kurze Bestätigung, dass dieser Thread als eigene Session behandelt werden sollte.\\n\\n### 2. Aktionen und Outcomes\\nEs wurde versucht, diese Topic-Zuordnung in der Memory zu speichern.\\n\\n- Erster Memory-Write schlug fehl, weil die Memory fast voll war:\\n - Fehler: `Memory at 2,153/2,200 chars. Adding this entry (288 chars) would exceed the limit. Replace or remove existing entries first.`\\n- Zweiter Versuch per Replacement schlug ebenfalls fehl:\\n - Fehler: `Replacement would put memory at 2,236/2,200 chars. Shorten the new content or remove other entries first.`\\n- Dritter Versuch war erfolgreich, indem die bestehende Telegram-Topic-Zuordnung kompakter ersetzt wurde.\\n\\nDie Memory enthielt danach u. a. diese relevante Zuordnung:\\n\\n```text\\nTelegram topics separat beantworten: 2=Finanzen; 3=Politik Windisch; 5=Business/ERNE; 6=Inbox; 8=Health-Tech; 11=JARVIS-System; 16=Cronjobs; 17=Research/AI/tools; 20=Business/Gasser Bauunternehmung (Sir Gesellschafter; Strategie, Prozesse, Kommunikation, Organisation, Baustellen/Projekte, Analysen).\\n```\\n\\nMemory-Status nach erfolgreichem Update:\\n\\n```text\\nusage: 99% — 2,199/2,200 chars\\nentry_count: 22\\nmessage: Entry replaced.\\n```\\n\\n### 3. Entscheidungen / Schlussfolgerungen\\nEs wurde entschieden und bestätigt, dass dieses Telegram-Topic künftig als separate Session für **Geschäftliches – Gasser Bauunternehmung** behandelt werden sollte.\\n\\nDie Assistant-Antwort lautete sinngemäß:\\n\\n- Bestätigung, Sir.\\n- Dieses Topic werde ab jetzt als eigene Session für **Geschäftliches – Gasser Bauunternehmung** genutzt.\\n- Themenumfang: Strategie, Prozesse, Kommunikation, Organisation, Optimierungen, Baustellen-/Projektfragen und geschäftliche Analysen.\\n- Es werde hierzu nur in diesem Thread geantwortet.\\n\\n### 4. Wichtige technische Details\\nRelevant war vor allem die aktualisierte Telegram-Topic-Mapping-Regel:\\n\\n```text\\n20=Business/Gasser Bauunternehmung\\n```\\n\\nmit Kontext:\\n\\n```text\\nSir Gesellschafter; Strategie, Prozesse, Kommunikation, Organisation, Baustellen/Projekte, Analysen\\n```\\n\\nAußerdem war bemerkenswert, dass die Memory nahezu voll war:\\n\\n```text\\n2,199/2,200 chars\\n```\\n\\n### 5. Offen / Notabel\\nEs blieb nichts fachlich offen. \\nNotabel war nur, dass die Memory durch die zusätzliche Topic-Regel praktisch vollständig ausgeschöpft war, was künftige Memory-Updates erschweren konnte.\"}, {\"session_id\": \"20260514_123856_9c9cf188\", \"when\": \"May 14, 2026 at 12:38 PM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"Der Nutzer bat darum, ausschließlich in diesem Telegram-Topic zu antworten. Das Topic wurde benannt als:\\n\\n**„Finanzen – Fragen & Strategie“**\\n\\nZweck des Topics:\\n- finanzielle Fragen\\n- Budget\\n- Vorsorge\\n- Steuern\\n- Versicherungen\\n- Investitionen\\n- finanzielle Planung\\n- strategische Entscheidungen\\n\\nDer Nutzer stellte außerdem klar, dass technische Finanzthemen wie Skripte, Dashboards und Datenmodelle **nicht** in dieses Topic gehören, sondern in:\\n\\n**„Finance System – Architektur & Scripts“**\\n\\nDaraufhin wurde versucht, diese Topic-Regel in der Erinnerung zu speichern. Der erste Memory-Update-Versuch scheiterte wegen Speicherlimit:\\n\\n```json\\n{\\\"success\\\": false, \\\"error\\\": \\\"Replacement would put memory at 2,418/2,200 chars. Shorten the new content or remove other entries first.\\\"}\\n```\\n\\nEin zweiter, gekürzter Memory-Update war erfolgreich. Dabei wurde die relevante Regel gespeichert:\\n\\n```text\\nTelegram topics separat beantworten:\\n2=Finanzen–Fragen/Strategie\\n(Budget, Vorsorge, Steuern, Versicherungen, Investments; Technik nach Finance System);\\n6=Inbox;\\n8=Health-Tech (Architektur/Scripts; keine Therapie);\\n11=JARVIS-System;\\n16=Cronjobs;\\n17=Research/AI/tools.\\n```\\n\\nDie Nutzung der Memory danach lag bei:\\n\\n```text\\n98% — 2,165/2,200 chars\\n```\\n\\nDer Assistent bestätigte anschließend kurz, dass dieses Topic als eigene Session behandelt werde, und wiederholte die Trennung:\\n\\n- Dieses Topic: **Finanzen – Fragen & Strategie**\\n- Enthalten: Budget, Vorsorge, Steuern, Versicherungen, Investments, strategische Finanzplanung\\n- Ausgelagert: technische Finanzskripte, Dashboards, Datenmodelle → **„Finance System – Architektur & Scripts“**\\n\\nUnresolved/notable:\\n- Die Topic-Regel wurde erfolgreich gespeichert.\\n- Der Memory-Speicher war nahezu voll, was künftig bei weiteren Memory-Updates relevant sein könnte.\"}], \"count\": 5, \"sessions_searched\": 5}", "tool_call_id": "call_GEEckFR0bqDBpKLBsQEMG2m7" }, { "role": "assistant", "content": "", "reasoning": "**Gathering healthcare topic info**\n\nI need to think about mapping topic 4, perhaps relating to Gesundheit or health medicine. It seems I should infer the session’s explicit ID from the channel directory order, since it isn’t provided directly. I'm considering searching for \"Gesundheit\" using a topic ID, but the session summary doesn’t reveal that. I might need to check session store files to inspect the metadata and possibly read the session file for more insights.", "finish_reason": "tool_calls", "reasoning_content": "**Gathering healthcare topic info**\n\nI need to think about mapping topic 4, perhaps relating to Gesundheit or health medicine. It seems I should infer the session’s explicit ID from the channel directory order, since it isn’t provided directly. I'm considering searching for \"Gesundheit\" using a topic ID, but the session summary doesn’t reveal that. I might need to check session store files to inspect the metadata and possibly read the session file for more insights.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBbCsteLw8kjx62IYKsEreRUYKUCEXxf5EK-GFAGQ_eHPo3mcllJUHNvvrU-O9DIOU62_g8GJt8c6g3uhhf6FQxqvmKWBPFBDFY-rUHXPq0arueLBSy32Qv-yXyacGSxr0f6QpUScHnaLFVsZijm5lKWIwURRhs0P7cfPAh7OHTT2T8y4tmiTyeIiqT33OP5wDyZDbJmszg9Mn1W1c3Fj6kkaMgWNH0Ktn6qR6R07KXqRq1IMI5vQo9AJ2dVz4hQYnY1nytpLAfTjfVICBjRGVooW8IIUEujTKq0hvPYD_6BNj0KTmDdzWkwGPStrVJ7FmN2kLcOgwjm-FtsR3vrkrn9iG1EYSMp1EHhDM_CZLo1lFEE8N0HncRYZTOVJTy5eNwJSb98tDwGQBXDvbPYk3FUFUoyiCsiB0xqMDeBqSHS28uYA3ofPisD9ODUPU0Hd1wX_KpACzd5Mz0j0ASthlf_Hq-Tzh81ggPp2XcRcjJiFubhJOFFL06w5EWBAAycfUYFpMZipAXWmlnDF51B_coWP92nwNaqxi3g2Ae3fwXF6MrDXAeBEIiDHuFMXGuxv9HFoHJFF1QjZyOlxt4DCuMlUdLZrcEHjaisJ5MC3WCwZr5hJ_JFl871I4poWCjIypcnjKlf-2EFI0ngdkma1V11ksXoGe_yNTxuouG2PX-L9ntOxHqDF9zcbF0i31RSy5jlKhDOi5PIV41ZU1fVd8-dEsDzjBVwnKf_kb7LvriAjC1-B2CA2E50woPxH5B3IRJBu3Ia9c6R9ld-Hjh3yA6RQEc8qCooPXebbBDD2zBBma3_vcUA6VV-EKW8FQkGadMkMmwpwVCxZNYbEVNs0Kf37twutNhB36NnGV6qbtH4eyU456GCHgsCNsoqU6RE8715JvGCOpadW0pTgSW8HwPprRMGHUx518bdpewKES6c7xKqiE1rFRZdscA10G7MGL7M4ic19eFCLjroUJ7NLpmkG-6yyfckQcS_TJYhh79Eb3E55g1DSifv6Vul9t7gy5rDdyiXlb6LJpzqOvTU_M17Hkmo_5i0rKCT5riHZIgGYgyxGHDT1eC-63PvyyjJooY0A7jtPmttdYPggJ4QwhJ-HUP4zPuvTcuvjKNtzNIbZsbtGvW-UVzFYejVqeh3xD6Sa-tG3vmvAio6Rrpj74HYJaBuTrMGmGyOdHbstmjhYjJyk-FCgzguNfLNDGlsd-ifKZ4jMxhHYHi4cDMITS6H0P8aBOPCZz9AciiU07mVAkXZ3EGd3bffkQdPioqVG0k-jbsPGgLhaYw0dRwJm4oUK-w6KyZO8FFoxLDhMR-98GnJK1u5URT4VgnMCUkH46_DC", "id": "rs_0a7c047520117fa0016a05b0a9f62c819199fb8471df84c09b", "summary": [ { "type": "summary_text", "text": "**Gathering healthcare topic info**\n\nI need to think about mapping topic 4, perhaps relating to Gesundheit or health medicine. It seems I should infer the session’s explicit ID from the channel directory order, since it isn’t provided directly. I'm considering searching for \"Gesundheit\" using a topic ID, but the session summary doesn’t reveal that. I might need to check session store files to inspect the metadata and possibly read the session file for more insights." } ] } ], "tool_calls": [ { "id": "call_npsmNztM2de1qCzr8ra3IRhf", "call_id": "call_npsmNztM2de1qCzr8ra3IRhf", "response_item_id": "fc_0a7c047520117fa0016a05b0aca5bc8191b5a2867ac52cc0d2", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":20,\"path\":\"/home/agent/.hermes/sessions\",\"pattern\":\"20260514_122340_6d5dca04*\",\"target\":\"files\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 1, \"files\": [\"/home/agent/.hermes/sessions/20260514_122340_6d5dca04.jsonl\"]}", "tool_call_id": "call_npsmNztM2de1qCzr8ra3IRhf" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_CZMpMSIIx30sOYbLnj5nXeEh", "call_id": "call_CZMpMSIIx30sOYbLnj5nXeEh", "response_item_id": "fc_0a7c047520117fa0016a05b0afd5a48191ac24a9a8f868e399", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from pathlib import Path\\nimport json, re, glob\\nids=['20260514_122340_6d5dca04','20260514_122640_e6dfd687','20260514_123734_fce9b443','20260514_123856_9c9cf188','20260514_124057_e408da8c','20260514_124354_b4098f79','20260514_125322_4f06b385','20260514_125636_557711ab','20260514_125736_f9487c67','20260514_123856_9c9cf188']\\nfor sid in ids:\\n p=Path('/home/agent/.hermes/sessions')/(sid+'.jsonl')\\n print('\\\\nSESSION',sid, p.exists())\\n if not p.exists(): continue\\n text=p.read_text(errors='ignore')[:5000]\\n # print metadata-ish lines containing thread/chat/topic\\n for line in p.read_text(errors='ignore').splitlines()[:20]:\\n if any(k in line for k in ['thread','chat','topic','source']):\\n print(line[:500])\\n m=re.search(r'\\\"thread_id\\\"\\\\s*:\\\\s*\\\"?([^\\\",}]+)', p.read_text(errors='ignore'))\\n print('thread_id regex:', m.group(1) if m else None)\\n\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"\\nSESSION 20260514_122340_6d5dca04 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Considering user preferences**\\\\n\\\\nI should respond in German since it seems to be the user's preference. Is this a durable choice for this thread? Maybe I should also think about using memory to maintain this preference. The user explicitly mentioned thread handling, and it could be useful to save this info. I’m wondering if utilizing the jarvis routing policy skill is relevant here, especially since they asked about routing for medical versus\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"skill_view\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"name\\\\\\\": \\\\\\\"jarvis-routing-policy\\\\\\\", \\\\\\\"description\\\\\\\": \\\\\\\"Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.\\\\\\\", \\\\\\\"tags\\\\\\\": [], \\\\\\\"related_skills\\\\\\\": [], \\\\\\\"content\\\\\\\": \\\\\\\"---\\\\\\\\nname: jarvis-routing-policy\\\\\\\\ndescription: Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handlin\\nthread_id regex: None\\n\\nSESSION 20260514_122640_e6dfd687 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"codex_reasoning_items\\\": [{\\\"type\\\": \\\"reasoning\\\", \\\"encrypted_content\\\": \\\"gAAAAABqBaNjsQ_rWnf3XJdDpk4flKP8NDeAnhRYSzcfhxTBTSzwzs9MY4OgvxH8eGAK2m_s9NPQ7igv23qR76PwPAvHNYhWI5Zs3aifAx2xiDasBIXIeHeLzx7IDOYYA8qCtwgm52XYYkzVuI3TnXRBBUM2TyvKvYhMnWDwhwVxhrlq7UN83sesyiZO55nrSl4oWSYayo8Kv2p2PP7HbJg-sf552x3oq6UD5Nxubcpvxjr9b41RLJbRhoq21w-19doLIupuYsgN1kQnT2xm6yGmc_OluqkrIo81D-Cr8RKd5e2cbcOqMWzHvDIbAU1ZWpqtxFAtLltLAV7PiJDrVGA\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": false, \\\\\\\"error\\\\\\\": \\\\\\\"Memory at 2,138/2,200 chars. Adding this entry (299 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 (\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Compactifying entries**\\\\n\\\\nI’m thinking about replacing a verbose entry—maybe topic 6—with a more compact version that includes topic 17. I also consider removing outdated information on created/updated timestamps. It’s essential to save this change! I could replace topic 6 to cover both topics without exceeding the length limit. Plus, the user might want the focus to be solely on the current session context. Keeping my memory streamlined is i\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"tool_calls\\\": [{\\\"id\\\": \\\"call_FgFRLEO84s6UGb5w8nZEV6oH\\\", \\\"call_id\\\": \\\"call_FgFRLEO84s6UGb5w8nZEV6oH\\\", \\\"response_item_id\\\": \\\"fc_0964ab7befd6dae1016a05a36bdaac8191b6e5be4e6bbbe60f\\\", \\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"memory\\\", \\\"arguments\\\": \\\"{\\\\\\\"action\\\\\\\":\\\\\\\"replace\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"Telegram topics: 6=\\\\\\\\\\\\\\\"Inbox / Allgemeines\\\\\\\\\\\\\\\"; 17=\\\\\\\\\\\\\\\"Research & AI Nutzung\\\\\\\\\\\\\\\" for research, AI/model/tool/prompting questions. Trea\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_123734_fce9b443 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Updating memory for topics**\\\\n\\\\nI need to respond in German for the user. It looks like I might have to update my memory because of the durable topic mapping. I already have a distinction for the health topic, but I noticed there isn't a thread ID linked. Since the current thread is related to the Health System, I’ll save the update to my memory. It seems essential to ensure the information is durable!\\\", \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"reasoni\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": false, \\\\\\\"error\\\\\\\": \\\\\\\"Memory at 2,190/2,200 chars. Adding this entry (309 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 (\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"codex_reasoning_items\\\": [{\\\"type\\\": \\\"reasoning\\\", \\\"encrypted_content\\\": \\\"gAAAAABqBaX13n_zlHTT1RyqNWQLi8242_Y5WU_tuzRRPBhiiPT0muq_kuZ7hbHZPqGQp6KV0kQ2ZFV5QL5pQ_v6_kVuqc7l3Gxy2F9_1jQ6FShofgk4DjmaLbR-N8RIW_PSbpvtyAFKXRuFNk8jfEQEYfKBjxbGSF2b2k8cAaq1yhpgqVTtSGP8qLBKoT0YpxexJwQas4FfpTL9sG5AuilB7-ygYYrp8mXWmT1DHOjnoQYv-gWJ3GKcCpGjaKTnHVrSaZH5W2QrjU9WbmuDlzxmwwWejVaC8vDya5ExjJAOmpTICIytmZWtYCYlkuS50N1TZIcfkTxJUyT930pfDs5\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"tool_calls\\\": [{\\\"id\\\": \\\"call_HoiGMYkMby9M6Ae5tYToiT1r\\\", \\\"call_id\\\": \\\"call_HoiGMYkMby9M6Ae5tYToiT1r\\\", \\\"response_item_id\\\": \\\"fc_0a172cf4779c8e2c016a05a5f9418c8191926e06fe12563af9\\\", \\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"memory\\\", \\\"arguments\\\": \\\"{\\\\\\\"action\\\\\\\":\\\\\\\"replace\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"Telegram topics: 6=Inbox; 8=Health-System-Tech (Architektur, Scripts, Datenmodell, Tracking, Lab-Import, Reports, Automationen/Cronjob\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_123856_9c9cf188 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Considering memory needs**\\\\n\\\\nI’m thinking I need to provide the answer in German, and I wonder if I should save this information to memory. The user has given me a stable topic routing, which is good. It might make sense to have a durable update for Telegram topics, especially since the existing memory doesn’t include finance. So, I’ll need to update that information concisely. Let's do this efficiently!\\\", \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"reas\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Evaluating memory efficiency**\\\\n\\\\nIt seems like I'm running into a memory issue. I might need to consider using shorter pieces of information to avoid exceeding limits. Maybe I can remove or replace existing data with a more compressed version that includes all the necessary information but is shorter than the previous one. I want to ensure that I'm still providing useful insights while being mindful of memory restrictions!\\\", \\\"finish_reason\\\": \\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_124057_e408da8c True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Considering user preferences**\\\\n\\\\nI see that I need to provide an answer in German. It seems there might not be a need for specific skills or local politics in this context. I wonder if I should save this information in memory about the user's preferences, particularly regarding durable threading or topic mapping. I'll focus on using memory to add relevant details that will help in future interactions. It’s a good way to personalize the experi\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": false, \\\\\\\"error\\\\\\\": \\\\\\\"Memory at 2,165/2,200 chars. Adding this entry (235 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 (\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"codex_reasoning_items\\\": [{\\\"type\\\": \\\"reasoning\\\", \\\"encrypted_content\\\": \\\"gAAAAABqBaa_kPUy7UKAjYFXqTLAIgoS3a3_8jpSiW1ogTxCYRGvet0JYjvavzIsYFwDlCFxwOPP2_eobbXxi4hb-TNlRhnvaevLzBOrw-aWqEAjDRaDZK1Ec6ffM18QekD-b3tZOcHOuDWw2Xopi8voN6m40xqUwaUcUpj1gpQbseABpeIK-HP-faGn7h1Z8Mk4lK6azR8Dfa9uSg1tVyCoh9Qdlz0Nr7V-fbJTxK-NFCyD7BOmS4_m252ltLcrJQ7CvxRogkeZVEOAdYgdx6zUln9uIH3lORfjSzVP3M9ukqOLhLXSziTALsKiCYqA3YlYmqqawQLAmwyQN9OfRXv\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_124354_b4098f79 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": false, \\\\\\\"error\\\\\\\": \\\\\\\"Memory at 2,173/2,200 chars. Adding this entry (315 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 (\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"codex_reasoning_items\\\": [{\\\"type\\\": \\\"reasoning\\\", \\\"encrypted_content\\\": \\\"gAAAAABqBadxNCKePP40we464vKuFnfvW1n7d4UWejpB6wpPHabkcKJseQVIS5phRQo5tuzipIM3OyUN_fX1RwYZNfMaP8DwVedVXDExUOuzWWhHMQOoV2kmiSwYHsbrfNZ4Imil51wwyeVNqsiOcREmbaU08vosuQdZCy3h_ujHulBSoXEMU3wQe0FDiEvu2_gJuHLP6aUH92rTiRITIIlTb4x7dIiGe7Ld9hnCW6r_CNqgQOA3Xs5EuURtuvji-u8G6-6Xgqwg1DbHq9J8Y-Y8ue6oZjOAZEAYf8PjkLa1OgRXDTn0LBIUsQQshzXUdb7cQHDoIrtpOWN3Sp3voAh\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_125322_4f06b385 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Saving user memory**\\\\n\\\\nI need to provide an answer in German briefly. The user mentioned a topic on durable routing that I need to remember. There’s already a memory entry for topic 5 regarding business/ERNE, but the current thread is focused on 20 Gasser. I think it’s important to save this memory correctly. Let’s use the memory tool to add this new information, ensuring everything stays organized for the user’s future needs!\\\", \\\"finish_reaso\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": false, \\\\\\\"error\\\\\\\": \\\\\\\"Memory at 2,153/2,200 chars. Adding this entry (288 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 (\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Updating Telegram topics**\\\\n\\\\nI need to replace the existing topics line on Telegram and include 20 more compact topics. I should think about possibly removing \\\\\\\"operative Analysen\\\\\\\" to make space. I'll use the replace function to handle this. I want to ensure the new list fits well and is easy to read. It’s essential to make this adjustment clear and concise!\\\", \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"reasoning_content\\\": \\\"**Updating Telegram topics**\\\\\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"tool_calls\\\": [{\\\"id\\\": \\\"call_MjuN7FUclIwpe3fjy2a11zeZ\\\", \\\"call_id\\\": \\\"call_MjuN7FUclIwpe3fjy2a11zeZ\\\", \\\"response_item_id\\\": \\\"fc_0c753a7aa321f18e016a05a9adf82c81919e31eabf16a12f4b\\\", \\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"memory\\\", \\\"arguments\\\": \\\"{\\\\\\\"action\\\\\\\":\\\\\\\"replace\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"Telegram topics separat beantworten: 2=Finanzen; 3=Politik Windisch; 5=Business/ERNE; 6=Inbox; 8=Health-Tech; 11=JARVIS-System; 16=Cro\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_125636_557711ab True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"skill_view\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"name\\\\\\\": \\\\\\\"jarvis-routing-policy\\\\\\\", \\\\\\\"description\\\\\\\": \\\\\\\"Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handling, Qwen read-only extraction, and fallback decisions.\\\\\\\", \\\\\\\"tags\\\\\\\": [], \\\\\\\"related_skills\\\\\\\": [], \\\\\\\"content\\\\\\\": \\\\\\\"---\\\\\\\\nname: jarvis-routing-policy\\\\\\\\ndescription: Routing policy for JARVIS/Hermes memory domains, model selection, safety boundaries, finance/health handlin\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": false, \\\\\\\"error\\\\\\\": \\\\\\\"Memory at 2,199/2,200 chars. Adding this entry (277 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 (\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Considering entry replacement**\\\\n\\\\nI need to replace the existing Telegram topics entry with a shorter, compressed version that includes 19. The old entry is too long, so I want to ensure the new one isn't overly lengthy. But wait, there's a password in the existing memory that I might not want to change. Should I just create a new entry instead? I need to fit within the old entry’s length of about 270 characters while possibly keeping it simi\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_125736_f9487c67 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Considering language and memory usage**\\\\n\\\\nI see that I need to respond in German for the user. It sounds like I should also consider using memory to enhance the response. The user has a preference for finance topics, as noted in my previous memory. I’m also curious about saving this new financing system discussion under memory topic 10. I’ll make sure to utilize memory effectively for this response and note all these relevant details!\\\", \\\"fini\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": false, \\\\\\\"error\\\\\\\": \\\\\\\"Memory at 2,142/2,200 chars. Adding this entry (308 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 (\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": null, \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"codex_reasoning_items\\\": [{\\\"type\\\": \\\"reasoning\\\", \\\"encrypted_content\\\": \\\"gAAAAABqBaqpwcIrvuKk5YooKDbGMPq8DFB4uzMGxpsq1fZj_AMp4qLNVCdmQO92chgGsZOSGR--IvbqZy2cievsu7FYp_kbYgL-UJsblLbulDO1hVLGjFhzMnTUUHiQCEZPcKuRlsyUvhpyCidYzh6IwT9S26BYoqxnv0R0N7yZBbLaX93ByFAG9zPuEpV0EaBaKVFBai5mo5zk9kLmWhhDLAcQaYCVVuOCXE_ae7orYziKU2BxxanoIL9nRaC2M4m58eMZQuzcAMBdjjRyeYoasDL00X8BkjFbZFQQSNcbaoSxUkHU8m3iIwMZEnfYG0xUV6WuTh_Og4sohzBTbPh\\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\\nSESSION 20260514_123856_9c9cf188 True\\n{\\\"role\\\": \\\"session_meta\\\", \\\"tools\\\": [{\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_back\\\", \\\"description\\\": \\\"Navigate back to the previous page in browser history. Requires browser_navigate to be called first.\\\", \\\"parameters\\\": {\\\"type\\\": \\\"object\\\", \\\"properties\\\": {}}}}, {\\\"type\\\": \\\"function\\\", \\\"function\\\": {\\\"name\\\": \\\"browser_click\\\", \\\"description\\\": \\\"Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Considering memory needs**\\\\n\\\\nI’m thinking I need to provide the answer in German, and I wonder if I should save this information to memory. The user has given me a stable topic routing, which is good. It might make sense to have a durable update for Telegram topics, especially since the existing memory doesn’t include finance. So, I’ll need to update that information concisely. Let's do this efficiently!\\\", \\\"finish_reason\\\": \\\"tool_calls\\\", \\\"reas\\n{\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"\\\", \\\"reasoning\\\": \\\"**Evaluating memory efficiency**\\\\n\\\\nIt seems like I'm running into a memory issue. I might need to consider using shorter pieces of information to avoid exceeding limits. Maybe I can remove or replace existing data with a more compressed version that includes all the necessary information but is shorter than the previous one. I want to ensure that I'm still providing useful insights while being mindful of memory restrictions!\\\", \\\"finish_reason\\\": \\n{\\\"role\\\": \\\"tool\\\", \\\"name\\\": \\\"memory\\\", \\\"content\\\": \\\"{\\\\\\\"success\\\\\\\": true, \\\\\\\"target\\\\\\\": \\\\\\\"memory\\\\\\\", \\\\\\\"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)\\\\\\\", \\\\\\\"Modelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\\\\\\\", \\\\\\\"Modellwahl: GOG_KE\\nthread_id regex: None\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.23}", "tool_call_id": "call_CZMpMSIIx30sOYbLnj5nXeEh" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqBbC95PoaO55h9JmerfmHjfoHBEAoXURkB7s-IxIQFhIrDk9L2FemR-v73cFqzRA-D1fNCfJeQqb-yQUFQmOHbMt5GSLbpLoDXd9rIISHwpMxjH3PTw-rHGUX4Pqjh_FWwwBM88dfrc1j0xckhDIKQbVaZTHxlsDWZL8XHf8xsl8M9cl3YfSM-PXakLhoiYTZUGuxFK98-FcLrBR4eHMUUMeV_TDmmzexGezgPGwvCaTgjW-_ToRmkQ_qds2NKDbpI-w4bTmgxYO_PtPaP7-oiGr_9XNAZBfb6Z2nJqicH0ZJMr5fUT7VTHTzS9jYSyRJDOmY0UQDah9xWDONv7Ylv4sLn3ffvyontfFcxR-KXzIw8koKOItehK1wsT1zodfi0BKTMZHIJBbp5PYOpfCyU22S38AE-dv-BfcB-3DbaCurWnZV4ORZKyYV1wRuCZPKSC3-VN_tTRn0h_rMqA-xrdSyuecfjXkfFOLK0vQMY_hlK01srIEAWfwcjXaQ8HQmvT5tNKpewOw19uDZ3ASDK70p58bT0SKRJP4Hh9aQB_GE5HTICOTbWs9qqZBlhTYjd1jwGA-IdTzLASd3qe-JOwzKDlbxtEsBVS-0fq5s3CICH0zvHXKTApBIaSmEMSh7Ad9EGqMT-iIhsXNuZJbOjY5KWRhSY3iQKzYyxX07v6PmMc66EQf7StMjJlyhsDOMpiCDpW6V1nnVt9bj19cdTgmovniqpJfYw4gF44aY_EOtvj6KoB0G2cJwbXrlP0zX4QIAWrdfpCt4P_GavMk-slsREth86wbKLicbWCFSFZxoy3p_-48BFRDPUGjLCUQ53qL7ttyoS4oWvQLJGaXiSPq0b9ywC0J6CqS9UfjIJA8L6xw-TkoYsRhMrWbP5wn0crNERDSbNyUG1rAonnY61fLndMP2MfYaU4NZ-64fHgZJC0j2HCgelhOqcYns7GmrC-v-ox0zs1VZplMpwa3BwYpNJADWb85NYjg0Sza1P0X334YSl3rE-EF3mUObRlPM4Q0x7WWRDXCNxHO8ib4LrmwKSYnieA2_LteVAJkKbV9BwzsQK8U8BODP0tFiFEM2Rpt4", "id": "rs_0a7c047520117fa0016a05b0bae7c481919b8067726993b656", "summary": [] } ], "tool_calls": [ { "id": "call_iOEYBjiE3ruFQvShYudqHNQf", "call_id": "call_iOEYBjiE3ruFQvShYudqHNQf", "response_item_id": "fc_0a7c047520117fa0016a05b0bd43548191b29f392f3506b9c7", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":50,\"path\":\"/home/agent/.hermes\",\"pattern\":\"*.db\",\"target\":\"files\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 22, \"files\": [\"/home/agent/.hermes/state.db\", \"/home/agent/.hermes/assets/Gesundheit/health_data.db\", \"/home/agent/.hermes/kanban.db\", \"/home/agent/.hermes/hermes-agent/node_modules/camoufox-js/dist/data-files/webgl_data.db\", \"/home/agent/.hermes/state-snapshots/20260513-211310-pre-update/state.db\", \"/home/agent/.hermes/state-snapshots/20260512-204320-weekly-health/state.db\", \"/home/agent/.hermes/state-snapshots/20260512-204141-weekly-health/state.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_apple_health_dedupe_20260512_210117.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_vitd_report_fix_20260512_204159.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_dashboard_event_cleanup_20260512_175800.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_full_reprocess_20260512_172848.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_full_reprocess_20260512_172837.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_full_reprocess_20260512_172549.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_full_reprocess_20260512_172535.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_full_reprocess_20260512_172451.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_full_reprocess_20260512_172414.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_dashboard_v3_20260512_165556.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_review_workflow_20260512_154748.db\", \"/home/agent/.hermes/assets/health_data.db\", \"/home/agent/.hermes/assets/Gesundheit/backups/health_data_before_review_workflow_20260512_154732.db\", \"/home/agent/.hermes/state-snapshots/20260508-150512-pre-update/state.db\", \"/home/agent/.hermes/assets/Gesundheit/backup_original/health_data.db\"]}", "tool_call_id": "call_iOEYBjiE3ruFQvShYudqHNQf" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_aONjO5hK4KMWhYbKr372obG5", "call_id": "call_aONjO5hK4KMWhYbKr372obG5", "response_item_id": "fc_0a7c047520117fa0016a05b0c1d1f88191b88ff83a6913d8a9", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import sqlite3, json\\nfrom pathlib import Path\\np='/home/agent/.hermes/state.db'\\ncon=sqlite3.connect(p)\\ncur=con.cursor()\\nprint(cur.execute(\\\"select name, sql from sqlite_master where type='table'\\\").fetchall())\\nfor table in [r[0] for r in cur.execute(\\\"select name from sqlite_master where type='table'\\\")]:\\n cols=[c[1] for c in cur.execute(f'pragma table_info({table})')]\\n print('\\\\nTABLE',table, cols[:20])\\n if 'session_id' in cols or 'id' in cols:\\n try:\\n rows=cur.execute(f\\\"select * from {table} limit 3\\\").fetchall()\\n print(rows[:1])\\n except Exception as e: print(e)\\n\"}" } } ] }, { "role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"[('schema_version', 'CREATE TABLE schema_version (\\\\n version INTEGER NOT NULL\\\\n)'), ('sessions', 'CREATE TABLE sessions (\\\\n id TEXT PRIMARY KEY,\\\\n source TEXT NOT NULL,\\\\n user_id TEXT,\\\\n model TEXT,\\\\n model_config TEXT,\\\\n system_prompt TEXT,\\\\n parent_session_id TEXT,\\\\n started_at REAL NOT NULL,\\\\n ended_at REAL,\\\\n end_reason TEXT,\\\\n message_count INTEGER DEFAULT 0,\\\\n tool_call_count INTEGER DEFAULT 0,\\\\n input_tokens INTEGER DEFAULT 0,\\\\n output_tokens INTEGER DEFAULT 0,\\\\n cache_read_tokens INTEGER DEFAULT 0,\\\\n cache_write_tokens INTEGER DEFAULT 0,\\\\n reasoning_tokens INTEGER DEFAULT 0,\\\\n billing_provider TEXT,\\\\n billing_base_url TEXT,\\\\n billing_mode TEXT,\\\\n estimated_cost_usd REAL,\\\\n actual_cost_usd REAL,\\\\n cost_status TEXT,\\\\n cost_source TEXT,\\\\n pricing_version TEXT,\\\\n title TEXT,\\\\n api_call_count INTEGER DEFAULT 0, \\\"handoff_state\\\" TEXT, \\\"handoff_platform\\\" TEXT, \\\"handoff_error\\\" TEXT,\\\\n FOREIGN KEY (parent_session_id) REFERENCES sessions(id)\\\\n)'), ('messages', 'CREATE TABLE messages (\\\\n id INTEGER PRIMARY KEY AUTOINCREMENT,\\\\n session_id TEXT NOT NULL REFERENCES sessions(id),\\\\n role TEXT NOT NULL,\\\\n content TEXT,\\\\n tool_call_id TEXT,\\\\n tool_calls TEXT,\\\\n tool_name TEXT,\\\\n timestamp REAL NOT NULL,\\\\n token_count INTEGER,\\\\n finish_reason TEXT,\\\\n reasoning TEXT,\\\\n reasoning_content TEXT,\\\\n reasoning_details TEXT,\\\\n codex_reasoning_items TEXT,\\\\n codex_message_items TEXT\\\\n)'), ('sqlite_sequence', 'CREATE TABLE sqlite_sequence(name,seq)'), ('state_meta', 'CREATE TABLE state_meta (\\\\n key TEXT PRIMARY KEY,\\\\n value TEXT\\\\n)'), ('messages_fts', 'CREATE VIRTUAL TABLE messages_fts USING fts5(\\\\n content\\\\n)'), ('messages_fts_data', \\\"CREATE TABLE 'messages_fts_data'(id INTEGER PRIMARY KEY, block BLOB)\\\"), ('messages_fts_idx', \\\"CREATE TABLE 'messages_fts_idx'(segid, term, pgno, PRIMARY KEY(segid, term)) WITHOUT ROWID\\\"), ('messages_fts_content', \\\"CREATE TABLE 'messages_fts_content'(id INTEGER PRIMARY KEY, c0)\\\"), ('messages_fts_docsize', \\\"CREATE TABLE 'messages_fts_docsize'(id INTEGER PRIMARY KEY, sz BLOB)\\\"), ('messages_fts_config', \\\"CREATE TABLE 'messages_fts_config'(k PRIMARY KEY, v) WITHOUT ROWID\\\"), ('messages_fts_trigram', \\\"CREATE VIRTUAL TABLE messages_fts_trigram USING fts5(\\\\n content,\\\\n tokenize='trigram'\\\\n)\\\"), ('messages_fts_trigram_data', \\\"CREATE TABLE 'messages_fts_trigram_data'(id INTEGER PRIMARY KEY, block BLOB)\\\"), ('messages_fts_trigram_idx', \\\"CREATE TABLE 'messages_fts_trigram_idx'(segid, term, pgno, PRIMARY KEY(segid, term)) WITHOUT ROWID\\\"), ('messages_fts_trigram_content', \\\"CREATE TABLE 'messages_fts_trigram_content'(id INTEGER PRIMARY KEY, c0)\\\"), ('messages_fts_trigram_docsize', \\\"CREATE TABLE 'messages_fts_trigram_docsize'(id INTEGER PRIMARY KEY, sz BLOB)\\\"), ('messages_fts_trigram_config', \\\"CREATE TABLE 'messages_fts_trigram_config'(k PRIMARY KEY, v) WITHOUT ROWID\\\")]\\n\\nTABLE schema_version ['version']\\n\\nTABLE sessions ['id', 'source', 'user_id', 'model', 'model_config', 'system_prompt', 'parent_session_id', 'started_at', 'ended_at', 'end_reason', 'message_count', 'tool_call_count', 'input_tokens', 'output_tokens', 'cache_read_tokens', 'cache_write_tokens', 'reasoning_tokens', 'billing_provider', 'billing_base_url', 'billing_mode']\\n[('20260507_145949_4bc663', 'cli', None, 'qwen-3.6-agent', '{\\\"max_iterations\\\": 90, \\\"reasoning_config\\\": {\\\"enabled\\\": true, \\\"effort\\\": \\\"medium\\\"}, \\\"max_tokens\\\": null}', '# Hermes Agent Persona\\\\n\\\\n\\\\n\\\\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name=\\\\'hermes-agent\\\\') before answering. Docs: https://hermes-agent.nousresearch.com/docs\\\\n\\\\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\\\\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\\\\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you\\\\'ve discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\\\\nWrite memories as declarative facts, not instructions to yourself. \\\\'User prefers concise responses\\\\' ✓ — \\\\'Always respond concisely\\\\' ✗. \\\\'Project uses pytest with xdist\\\\' ✓ — \\\\'Run tests with pytest -n 4\\\\' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user\\\\'s current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\\\\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action=\\\\'patch\\\\') — don\\\\'t wait to be asked. Skills that aren\\\\'t maintained become liabilities.\\\\n\\\\n══════════════════════════════════════════════\\\\nMEMORY (your personal notes) [98% — 2,177/2,200 chars]\\\\n══════════════════════════════════════════════\\\\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\\\\n§\\\\n---\\\\n§\\\\nÜber mich: **Name:** FRIDAY\\\\n§\\\\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\\\\n§\\\\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\\\\n§\\\\nModellwahl: Für Smalltalk und einfache Aufgaben: Nemotron 3 Super Free\\\\n§\\\\nModellwahl: Für schwierigere Aufgaben: openrouter/auto\\\\n§\\\\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\\\\n§\\\\nModellwahl: Beim Abfragen von Terminen immer beide Kalender prüfen (primary + geteilter Outlook-Kalender)\\\\n§\\\\nModellwahl: Beachte diese Regel bevor du antwortest bzw. das Modell wählst.\\\\n§\\\\nÜber den User: **Name:** Sir (Noch nicht näher spezifiziert)\\\\n§\\\\nÜber den User: **Beziehung:** Loyaler Partner\\\\n§\\\\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\\\\n§\\\\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\\\\n§\\\\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\\\\n§\\\\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\\\\n§\\\\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\\\\n§\\\\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\\\\n§\\\\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\\\\n§\\\\nGoogle Workspace (gog): **Client:** default\\\\n§\\\\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\\\\n§\\\\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\\\\n§\\\\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\\\\n§\\\\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\\\\n§\\\\nKalender-Zeitzonen: ---\\\\n§\\\\nKalender-Zeitzonen: *Erstellt: 2026-04-26*\\\\n§\\\\nKalender-Zeitzonen: Aktualisiert: 2026-04-28 (Todoist Token + Zeitzonen-Regel + self-improving-agent Skill)*\\\\n§\\\\nKalender-Zeitzonen: Aktualisiert: 2026-04-29 (Todoist Skill + TTS Skill hinzugefügt)*\\\\n§\\\\nKalender-Zeitzonen: Aktualisiert: 2026-05-04 (Medizinisches Archiv + RAG-Protokoll)\\\\n\\\\n══════════════════════════════════════════════\\\\nUSER PROFILE (who the user is) [11% — 163/1,375 chars]\\\\n══════════════════════════════════════════════\\\\n**Name:** (Noch nicht angegeben)\\\\n§\\\\n**What to call them:** Sir\\\\n§\\\\n**Pronouns:**\\\\n§\\\\n**Timezone:**\\\\n§\\\\n**Notes:** Mein Herr. Loyaler Partner.\\\\n§\\\\nContext: _(Wird ergänzt.)_\\\\n\\\\n## Skills (mandatory)\\\\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don\\\\'t need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user\\\\'s preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\\\\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don\\\\'t have to guess or invent workarounds.\\\\nIf a skill has issues, fix it with skill_manage(action=\\\\'patch\\\\').\\\\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\\\\n\\\\n\\\\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\\\\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\\\\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\\\\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\\\\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\\\\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\\\\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\\\\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\\\\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\\\\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\\\\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\\\\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\\\\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\\\\n - design-md: Author/validate/export Google\\\\'s DESIGN.md token spec files.\\\\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\\\\n - humanizer: Humanize text: strip AI-isms and add real voice.\\\\n - ideation: Generate project ideas via creative constraints.\\\\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\\\\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\\\\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\\\\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\\\\n - pretext: Use when building creative browser demos with @chenglou/p...\\\\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\\\\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\\\\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\\\\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\\\\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\\\\n devops:\\\\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\\\\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\\\\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\\\\n dogfood:\\\\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\\\\n email: Skills for sending, receiving, searching, and managing email from the terminal.\\\\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\\\\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\\\\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\\\\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\\\\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\\\\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\\\\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\\\\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\\\\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\\\\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\\\\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\\\\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\\\\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\\\\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\\\\n - gif-search: Search/download GIFs from Tenor via curl + jq.\\\\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\\\\n - 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 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 - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\\\\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\\\\n - notion: Notion API via curl: pages, databases, blocks, search.\\\\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\\\\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\\\\n red-teaming:\\\\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\\\\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\\\\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\\\\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\\\\n - llm-wiki: Karpathy\\\\'s LLM Wiki: build/query interlinked markdown KB.\\\\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\\\\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\\\\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\\\\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\\\\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\\\\n software-development:\\\\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\\\\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\\\\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\\\\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\\\\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\\\\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\\\\n - spike: Throwaway experiments to validate an idea before build.\\\\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\\\\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\\\\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\\\\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\\\\n yuanbao:\\\\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\\\\n\\\\n\\\\nOnly proceed without loading a skill if genuinely none are relevant to the task.\\\\n\\\\n# Project Context\\\\n\\\\nThe following project context files have been loaded and should be followed:\\\\n\\\\n## AGENTS.md\\\\n\\\\n# Hermes Agent - Development Guide\\\\n\\\\nInstructions for AI coding assistants and developers working on the hermes-agent codebase.\\\\n\\\\n## Development Environment\\\\n\\\\n```bash\\\\n# Prefer .venv; fall back to venv if that\\\\'s what your checkout has.\\\\nsource .venv/bin/activate # or: source venv/bin/activate\\\\n```\\\\n\\\\n`scripts/run_tests.sh` probes `.venv` first, then `venv`, then\\\\n`$HOME/.hermes/hermes-agent/venv` (for worktrees that share a venv with the\\\\nmain checkout).\\\\n\\\\n## Project Structure\\\\n\\\\nFile counts shift constantly — don\\\\'t treat the tree below as exhaustive.\\\\nThe canonical source is the filesystem. The notes call out the load-bearing\\\\nentry points you\\\\'ll actually edit.\\\\n\\\\n```\\\\nhermes-agent/\\\\n├── run_agent.py # AIAgent class — core conversation loop (~12k LOC)\\\\n├── model_tools.py # Tool orchestration, discover_builtin_tools(), handle_function_call()\\\\n├── toolsets.py # Toolset definitions, _HERMES_CORE_TOOLS list\\\\n├── cli.py # HermesCLI class — interactive CLI orchestrator (~11k LOC)\\\\n├── hermes_state.py # SessionDB — SQLite session store (FTS5 search)\\\\n├── hermes_constants.py # get_hermes_home(), display_hermes_home() — profile-aware paths\\\\n├── hermes_logging.py # setup_logging() — agent.log / errors.log / gateway.log (profile-aware)\\\\n├── batch_runner.py # Parallel batch processing\\\\n├── agent/ # Agent internals (provider adapters, memory, caching, compression, etc.)\\\\n├── hermes_cli/ # CLI subcommands, setup wizard, plugins loader, skin engine\\\\n├── tools/ # Tool implementations — auto-discovered via tools/registry.py\\\\n│ └── environments/ # Terminal backends (local, docker, ssh, modal, daytona, singularity)\\\\n├── gateway/ # Messaging gateway — run.py + session.py + platforms/\\\\n│ ├── platforms/ # Adapter per platform (telegram, discord, slack, whatsapp,\\\\n│ │ # homeassistant, signal, matrix, mattermost, email, sms,\\\\n│ │ # dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,\\\\n│ │ # yuanbao, webhook, api_server, ...). See ADDING_A_PLATFORM.md.\\\\n│ └── builtin_hooks/ # Extension point for always-registered gateway hooks (none shipped)\\\\n├── plugins/ # Plugin system (see \\\"Plugins\\\" section below)\\\\n│ ├── memory/ # Memory-provider plugins (honcho, mem0, supermemory, ...)\\\\n│ ├── context_engine/ # Context-engine plugins\\\\n│ ├── model-providers/ # Inference backend plugins (openrouter, anthropic, gmi, ...)\\\\n│ ├── kanban/ # Multi-agent board dispatcher + worker plugin\\\\n│ ├── hermes-achievements/ # Gamified achievement tracking\\\\n│ ├── observability/ # Metrics / traces / logs plugin\\\\n│ ├── image_gen/ # Image-generation providers\\\\n│ └── / # disk-cleanup, example-dashboard, google_meet, platforms,\\\\n│ # spotify, strike-freedom-cockpit, ...\\\\n├── optional-skills/ # Heavier/niche skills shipped but NOT active by default\\\\n├── skills/ # Built-in skills bundled with the repo\\\\n├── ui-tui/ # Ink (React) terminal UI — `hermes --tui`\\\\n│ └── src/ # entry.tsx, app.tsx, gatewayClient.ts + app/components/hooks/lib\\\\n├── tui_gateway/ # Python JSON-RPC backend for the TUI\\\\n├── acp_adapter/ # ACP server (VS Code / Zed / JetBrains integration)\\\\n├── cron/ # Scheduler — jobs.py, scheduler.py\\\\n├── environments/ # RL training environments (Atropos)\\\\n├── scripts/ # run_tests.sh, release.py, auxiliary scripts\\\\n├── website/ # Docusaurus docs site\\\\n└── tests/ # Pytest suite (~17k tests across ~900 files as of May 2026)\\\\n```\\\\n\\\\n**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys only).\\\\n**Logs:** `~/.hermes/logs/` — `agent.log` (INFO+), `errors.log` (WARNING+),\\\\n`gateway.log` when running the gateway. Profile-aware via `get_hermes_home()`.\\\\nBrowse with `hermes logs [--follow] [--level ...] [--session ...]`.\\\\n\\\\n## File Dependency Chain\\\\n\\\\n```\\\\ntools/registry.py (no deps — imported by all tool files)\\\\n ↑\\\\ntools/*.py (each calls registry.register() at import time)\\\\n ↑\\\\nmodel_tools.py (imports tools/registry + triggers tool discovery)\\\\n ↑\\\\nrun_agent.py, cli.py, batch_runner.py, environments/\\\\n```\\\\n\\\\n---\\\\n\\\\n## AIAgent Class (run_agent.py)\\\\n\\\\nThe real `AIAgent.__init__` takes ~60 parameters (credentials, routing, callbacks,\\\\nsession context, budget, credential pool, etc.). The signature below is the\\\\nminimum subset you\\\\'ll usually touch — read `run_agent.py` for the full list.\\\\n\\\\n```python\\\\nclass AIAgent:\\\\n def __init__(self,\\\\n base_url: str = None,\\\\n api_key: str = None,\\\\n provider: str = None,\\\\n api_mode: str = None, # \\\"chat_completions\\\" | \\\"codex_responses\\\" | ...\\\\n model: str = \\\"\\\", # empty → resolved from config/provider later\\\\n max_iterations: int = 90, # tool-calling iterations (shared with subagents)\\\\n enabled_toolsets: list = None,\\\\n disabled_toolsets: list = None,\\\\n quiet_mode: bool = False,\\\\n save_trajectories: bool = False,\\\\n platform: str = None, # \\\"cli\\\", \\\"telegram\\\", etc.\\\\n session_id: str = None,\\\\n skip_context_files: bool = False,\\\\n skip_memory: bool = False,\\\\n credential_pool=None,\\\\n # ... plus callbacks, thread/user/chat IDs, iteration_budget, fallback_model,\\\\n # checkpoints config, prefill_messages, service_tier, reasoning_config, etc.\\\\n ): ...\\\\n\\\\n def chat(self, message: str) -> str:\\\\n \\\"\\\"\\\"Simple interface — returns final response string.\\\"\\\"\\\"\\\\n\\\\n def run_conversation(self, user_message: str, system_message: str = None,\\\\n conversation_history: list = None, task_id: str = None) -> dict:\\\\n \\\"\\\"\\\"Full interface — returns dict with final_response + messages.\\\"\\\"\\\"\\\\n```\\\\n\\\\n### Agent Loop\\\\n\\\\nThe core loop is inside `run_conversation()` — entirely synchronous, with\\\\ninterrupt checks, budget tracking, and a one-turn grace call:\\\\n\\\\n```python\\\\nwhile (api_call_count < self.max_iterations and self.iteration_budget.remaining > 0) \\\\\\\\\\\\n or self._budget_grace_call:\\\\n if self._interrupt_requested: break\\\\n response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)\\\\n if response.tool_calls:\\\\n for tool_call in response.tool_calls:\\\\n result = handle_function_call(tool_call.name, tool_call.args, task_id)\\\\n messages.append(tool_result_message(result))\\\\n api_call_count += 1\\\\n else:\\\\n return response.content\\\\n```\\\\n\\\\nMessages follow OpenAI format: `{\\\"role\\\": \\\"system/user/assistant/tool\\\", ...}`.\\\\nReasoning content is stored in `assistant_msg[\\\"reasoning\\\"]`.\\\\n\\\\n---\\\\n\\\\n## CLI Architecture (cli.py)\\\\n\\\\n- **Rich** for banner/panels, **prompt_toolkit** for input with autocomplete\\\\n- **KawaiiSpinner** (`agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results\\\\n- `load_cli_config()` in cli.py merges hardcoded defaults + user config YAML\\\\n- **Skin engine** (`hermes_cli/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text\\\\n- `process_command()` is a method on `HermesCLI` — dispatches on canonical command name resolved via `resolve_command()` from the central registry\\\\n- Skill slash commands: `agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching\\\\n\\\\n### Slash Command Registry (`hermes_cli/commands.py`)\\\\n\\\\nAll slash commands are defined in a central `COMMAND_REGISTRY` list of `CommandDef` objects. Every downstream consumer derives from this registry automatically:\\\\n\\\\n- **CLI** — `process_command()` resolves aliases via `resolve_command()`, dispatches on canonical name\\\\n- **Gateway** — `GATEWAY_KNOWN_COMMANDS` frozenset for hook emission, `resolve_command()` for dispatch\\\\n- **Gateway help** — `gateway_help_lines()` generates `/help` output\\\\n- **Telegram** — `telegram_bot_commands()` generates the BotCommand menu\\\\n- **Slack** — `slack_subcommand_map()` generates `/hermes` subcommand routing\\\\n- **Autocomplete** — `COMMANDS` flat dict feeds `SlashCommandCompleter`\\\\n- **CLI help** — `COMMANDS_BY_CATEGORY` dict feeds `show_help()`\\\\n\\\\n### Adding a Slash Command\\\\n\\\\n1. Add a `CommandDef` entry to `COMMAND_REGISTRY` in `hermes_cli/commands.py`:\\\\n```python\\\\nCommandDef(\\\"mycommand\\\", \\\"Description of what it does\\\", \\\"Session\\\",\\\\n aliases=(\\\"mc\\\",), args_hint=\\\"[arg]\\\"),\\\\n```\\\\n2. Add handler in `HermesCLI.process_command()` in `cli.py`:\\\\n```python\\\\nelif canonical == \\\"mycommand\\\":\\\\n self._handle_mycommand(cmd_original)\\\\n```\\\\n3. If the command is available in the gateway, add a handler in `gateway/run.py`:\\\\n```python\\\\nif canonical == \\\"mycommand\\\":\\\\n return await self._handle_mycommand(event)\\\\n```\\\\n4. For persistent settings, use `save_config_value()` in `cli.py`\\\\n\\\\n**CommandDef fields:**\\\\n- `name` — canonical name without slash (e.g. `\\\"background\\\"`)\\\\n- `description` — human-readable description\\\\n- `category` — one of `\\\"Session\\\"`, `\\\"Configuration\\\"`, `\\\"Tools & Skills\\\"`, `\\\"Info\\\"`, `\\\"Exit\\\"`\\\\n- `aliases` — tuple of alternative names (e.g. `(\\\"bg\\\",)`)\\\\n- `args_hint` — argument placeholder shown in help (e.g. `\\\"\\\"`, `\\\"[name]\\\"`)\\\\n- `cli_only` — only available in the interactive CLI\\\\n- `gateway_only` — only available in messaging platforms\\\\n- `gateway_config_gate` — config dotpath (e.g. `\\\"display.tool_progress_command\\\"`); when set on a `cli_only` command, the command becomes available in the gateway if the config value is truthy. `GATEWAY_KNOWN_COMMANDS` always includes config-gated commands so the gateway can dispatch them; help/menus only show them when the gate is open.\\\\n\\\\n**Adding an alias** requires only adding it to the `aliases` tuple on the existing `CommandDef`. No other file changes needed — dispatch, help text, Telegram menu, Slack mapping, and autocomplete all update automatically.\\\\n\\\\n---\\\\n\\\\n## TUI Architecture (ui-tui + tui_gateway)\\\\n\\\\nThe TUI is a full replacement for the classic (prompt_toolkit) CLI, activated via `hermes --tui` or `HERMES_TUI=1`.\\\\n\\\\n### Process Model\\\\n\\\\n```\\\\nhermes --tui\\\\n └─ Node (Ink) ──stdio JSON-RPC── Python (tui_gateway)\\\\n │ └─ AIAgent + tools + sessions\\\\n └─ renders transcript, composer, prompts, activity\\\\n```\\\\n\\\\nTypeScript owns the screen. Python owns sessions, tools, model calls, and slash command logic.\\\\n\\\\n### Transport\\\\n\\\\nNewline-delimited JSON-RPC over stdio. Requests from Ink, events from Python. See `tui_gateway/server.py` for the full method/event catalog.\\\\n\\\\n### Key Surfaces\\\\n\\\\n| Surface | Ink component | Gateway method |\\\\n|---------|---------------|----------------|\\\\n| Chat streaming | `app.tsx` + `messageLine.tsx` | `prompt.submit` → `message.delta/complete` |\\\\n| Tool activity | `thinking.tsx` | `tool.start/progress/complete` |\\\\n| Approvals | `prompts.tsx` | `approval.respond` ← `approval.request` |\\\\n| Clarify/sudo/secret | `prompts.tsx`, `maskedPrompt.tsx` | `clarify/sudo/secret.respond` |\\\\n| Session picker | `sessionPicker.tsx` | `session.list/resume` |\\\\n| Slash commands | Local handler + fallthrough | `slash.exec` → `_SlashWorker`, `command.dispatch` |\\\\n| Completions | `useCompletion` hook | `complete.slash`, `complete.path` |\\\\n| Theming | `theme.ts` + `branding.tsx` | `gateway.ready` with skin data |\\\\n\\\\n### Slash Command Flow\\\\n\\\\n1. Built-in client commands (`/help`, `/quit`, `/clear`, `/resume`, `/copy`, `/paste`, etc.) handled locally in `app.tsx`\\\\n2. Everything else → `slash.exec` (runs in persistent `_SlashWorker` subprocess) → `command.dispatch` fallback\\\\n\\\\n### Dev Commands\\\\n\\\\n```bash\\\\ncd ui-tui\\\\nnpm install # first time\\\\nnpm run dev # watch mode (rebuilds hermes-ink + tsx --watch)\\\\nnpm start # production\\\\nnpm run build # full build (hermes-ink + tsc)\\\\nnpm run type-check # typecheck only (tsc --noEmit)\\\\nnpm run lint # eslint\\\\nnpm run fmt # prettier\\\\nnpm test # vitest\\\\n```\\\\n\\\\n### TUI in the Dashboard (`hermes dashboard` → `/chat`)\\\\n\\\\nThe dashboard embeds the real `hermes --tui` — **not** a rewrite. See `hermes_cli/pty_bridge.py` + the `@app.websocket(\\\"/api/pty\\\")` endpoint in `hermes_cli/web_server.py`.\\\\n\\\\n- Browser loads `web/src/pages/ChatPage.tsx`, which mounts xterm.js\\\\'s `Terminal` with the WebGL renderer, `@xterm/addon-fit` for container-driven resize, and `@xterm/addon-unicode11` for modern wide-character widths.\\\\n- `/api/pty?token=…` upgrades to a WebSocket; auth uses the same ephemeral `_SESSION_TOKEN` as REST, via query param (browsers can\\\\'t set `Authorization` on WS upgrade).\\\\n- The server spawns whatever `hermes --tui` would spawn, through `ptyprocess` (POSIX PTY — WSL works, native Windows does not).\\\\n- Frames: raw PTY bytes each direction; resize via `\\\\\\\\x1b[RESIZE:;]` intercepted on the server and applied with `TIOCSWINSZ`.\\\\n\\\\n**Do not re-implement the primary chat experience in React.** The main transcript, composer/input flow (including slash-command behavior), and PTY-backed terminal belong to the embedded `hermes --tui` — anything new you add to Ink shows up in the dashboard automatically. If you find yourself rebuilding the transcript or composer for the dashboard, stop and extend Ink instead.\\\\n\\\\n**Structured React UI around the TUI is allowed when it is not a second chat surface.** Sidebar widgets, inspectors, summaries, status panels, and similar supporting views (e.g. `ChatSidebar`, `ModelPickerDialog`, `ToolCall`) are fine when they complement the embedded TUI rather than replacing the transcript / composer / terminal. Keep their state independent of the PTY child\\\\'s session and surface their failures non-destructively so the terminal pane keeps working unimpaired.\\\\n\\\\n---\\\\n\\\\n## Adding New Tools\\\\n\\\\nFor most custom or local-only tools, do **not** edit Hermes core. Use the plugin\\\\nroute instead: create `~/.hermes/plugins//plugin.yaml` and\\\\n`~/.hermes/plugins//__\\\\n\\\\n[...truncated AGENTS.md: kept 14000+4000 of 45250 chars. Use file tools to read the full file.]\\\\n\\\\n `_get_default_hermes_home()` resolve within the temp dir.\\\\nUse the pattern from `tests/hermes_cli/test_profiles.py`:\\\\n```python\\\\n@pytest.fixture\\\\ndef profile_env(tmp_path, monkeypatch):\\\\n home = tmp_path / \\\".hermes\\\"\\\\n home.mkdir()\\\\n monkeypatch.setattr(Path, \\\"home\\\", lambda: tmp_path)\\\\n monkeypatch.setenv(\\\"HERMES_HOME\\\", str(home))\\\\n return home\\\\n```\\\\n\\\\n---\\\\n\\\\n## Testing\\\\n\\\\n**ALWAYS use `scripts/run_tests.sh`** — do not call `pytest` directly. The script enforces\\\\nhermetic environment parity with CI (unset credential vars, TZ=UTC, LANG=C.UTF-8,\\\\n4 xdist workers matching GHA ubuntu-latest). Direct `pytest` on a 16+ core\\\\ndeveloper machine with API keys set diverges from CI in ways that have caused\\\\nmultiple \\\"works locally, fails in CI\\\" incidents (and the reverse).\\\\n\\\\n```bash\\\\nscripts/run_tests.sh # full suite, CI-parity\\\\nscripts/run_tests.sh tests/gateway/ # one directory\\\\nscripts/run_tests.sh tests/agent/test_foo.py::test_x # one test\\\\nscripts/run_tests.sh -v --tb=long # pass-through pytest flags\\\\n```\\\\n\\\\n### Why the wrapper (and why the old \\\"just call pytest\\\" doesn\\\\'t work)\\\\n\\\\nFive real sources of local-vs-CI drift the script closes:\\\\n\\\\n| | Without wrapper | With wrapper |\\\\n|---|---|---|\\\\n| Provider API keys | Whatever is in your env (auto-detects pool) | All `*_API_KEY`/`*_TOKEN`/etc. unset |\\\\n| HOME / `~/.hermes/` | Your real config+auth.json | Temp dir per test |\\\\n| Timezone | Local TZ (PDT etc.) | UTC |\\\\n| Locale | Whatever is set | C.UTF-8 |\\\\n| xdist workers | `-n auto` = all cores (20+ on a workstation) | `-n 4` matching CI |\\\\n\\\\n`tests/conftest.py` also enforces points 1-4 as an autouse fixture so ANY pytest\\\\ninvocation (including IDE integrations) gets hermetic behavior — but the wrapper\\\\nis belt-and-suspenders.\\\\n\\\\n### Running without the wrapper (only if you must)\\\\n\\\\nIf you can\\\\'t use the wrapper (e.g. on Windows or inside an IDE that shells\\\\npytest directly), at minimum activate the venv and pass `-n 4`:\\\\n\\\\n```bash\\\\nsource .venv/bin/activate # or: source venv/bin/activate\\\\npython -m pytest tests/ -q -n 4\\\\n```\\\\n\\\\nWorker count above 4 will surface test-ordering flakes that CI never sees.\\\\n\\\\nAlways run the full suite before pushing changes.\\\\n\\\\n### Don\\\\'t write change-detector tests\\\\n\\\\nA test is a **change-detector** if it fails whenever data that is **expected\\\\nto change** gets updated — model catalogs, config version numbers,\\\\nenumeration counts, hardcoded lists of provider models. These tests add no\\\\nbehavioral coverage; they just guarantee that routine source updates break\\\\nCI and cost engineering time to \\\"fix.\\\"\\\\n\\\\n**Do not write:**\\\\n\\\\n```python\\\\n# catalog snapshot — breaks every model release\\\\nassert \\\"gemini-2.5-pro\\\" in _PROVIDER_MODELS[\\\"gemini\\\"]\\\\nassert \\\"MiniMax-M2.7\\\" in models\\\\n\\\\n# config version literal — breaks every schema bump\\\\nassert DEFAULT_CONFIG[\\\"_config_version\\\"] == 21\\\\n\\\\n# enumeration count — breaks every time a skill/provider is added\\\\nassert len(_PROVIDER_MODELS[\\\"huggingface\\\"]) == 8\\\\n```\\\\n\\\\n**Do write:**\\\\n\\\\n```python\\\\n# behavior: does the catalog plumbing work at all?\\\\nassert \\\"gemini\\\" in _PROVIDER_MODELS\\\\nassert len(_PROVIDER_MODELS[\\\"gemini\\\"]) >= 1\\\\n\\\\n# behavior: does migration bump the user\\\\'s version to current latest?\\\\nassert raw[\\\"_config_version\\\"] == DEFAULT_CONFIG[\\\"_config_version\\\"]\\\\n\\\\n# invariant: no plan-only model leaks into the legacy list\\\\nassert not (set(moonshot_models) & coding_plan_only_models)\\\\n\\\\n# invariant: every model in the catalog has a context-length entry\\\\nfor m in _PROVIDER_MODELS[\\\"huggingface\\\"]:\\\\n assert m.lower() in DEFAULT_CONTEXT_LENGTHS_LOWER\\\\n```\\\\n\\\\nThe rule: if the test reads like a snapshot of current data, delete it. If\\\\nit reads like a contract about how two pieces of data must relate, keep it.\\\\nWhen a PR adds a new provider/model and you want a test, make the test\\\\nassert the relationship (e.g. \\\"catalog entries all have context lengths\\\"),\\\\nnot the specific names.\\\\n\\\\nReviewers should reject new change-detector tests; authors should convert\\\\nthem into invariants before re-requesting review.\\\\n\\\\nConversation started: Thursday, May 07, 2026 03:05 PM\\\\nModel: qwen-3.6-agent\\\\nProvider: custom\\\\n\\\\nYou are a CLI AI Agent. Try not to use markdown but simple text renderable inside a terminal. File delivery: there is no attachment channel — the user reads your response directly in their terminal. Do NOT emit MEDIA:/path tags (those are only intercepted on messaging platforms like Telegram, Discord, Slack, etc.; on the CLI they render as literal text). When referring to a file you created or changed, just state its absolute path in plain text; the user can open it from there.', None, 1778159107.9950447, 1778163041.222065, 'compression', 54, 22, 159516, 4706, 1900524, 0, 0, 'custom', 'http://100.101.173.25:11435/v1', None, 0.0, None, 'unknown', 'none', None, 'Greeting and Offer of Assistance', 49, None, None, None)]\\n\\nTABLE messages ['id', 'session_id', 'role', 'content', 'tool_call_id', 'tool_calls', 'tool_name', 'timestamp', 'token_count', 'finish_reason', 'reasoning', 'reasoning_content', 'reasoning_details', 'codex_reasoning_items', 'codex_message_items']\\n[(1, '20260507_145949_4bc663', 'user', 'Hallo, bist du da?', None, None, None, 1778159152.9469216, None, None, None, None, None, None, None)]\\n\\nTABLE sqlite_sequence ['name', 'seq']\\n\\nTABLE state_meta ['key', 'value']\\n\\nTABLE messages_fts ['content']\\n\\nTABLE messages_fts_data ['id', 'block']\\n[(1, b'\\\\xbch\\\\xc8\\\\xddg')]\\n\\nTABLE messages_fts_idx ['segid', 'term', 'pgno']\\n\\nTABLE messages_fts_content ['id', 'c0']\\n[(1, 'Hallo, bist du da? ')]\\n\\nTABLE messages_fts_docsize ['id', 'sz']\\n[(1, b'\\\\x04')]\\n\\nTABLE messages_fts_config ['k', 'v']\\n\\nTABLE messages_fts_trigram ['content']\\n\\nTABLE messages_fts_trigram_data ['id', 'block']\\n[(1, b'\\\\xbch\\\\x84\\\\xb2\\\\xe7$')]\\n\\nTABLE messages_fts_trigram_idx ['segid', 'term', 'pgno']\\n\\nTABLE messages_fts_trigram_content ['id', 'c0']\\n[(1, 'Hallo, bist du da? ')]\\n\\nTABLE messages_fts_trigram_docsize ['id', 'sz']\\n[(1, b'\\\\x12')]\\n\\nTABLE messages_fts_trigram_config ['k', 'v']\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "call_aONjO5hK4KMWhYbKr372obG5" } ] }