{ "session_id": "20260515_131817_6cec84", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-15T13:18:17.864827", "last_updated": "2026-05-15T13:20:42.155065", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [99% — 2,181/2,200 chars]\n══════════════════════════════════════════════\nGateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\n§\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nHoncho Python library is installed (v2.1.1) but `hermes honcho` CLI subcommand does not exist in this build. Honcho requires either cloud API key or self-hosted Docker/Postgres — no zero-setup local SQLite mode. Built-in memory is the practical choice.\n§\nTest\n§\nAgent has full terminal, file, and execution access. Available tools: terminal (bash, docker, background processes), execute_code (Python 3.11 with venv), read_file, write_file, patch, search_files. Persistent working directories: /DATA/AppData/hermes/, /DATA/.hermes/, and ~. Python venv at /DATA/AppData/hermes/venv. No sandbox — all filesystem operations write directly to host-mounted volumes.\n§\nZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\n§\nAhmed uses Ollama Cloud (Pro tier, $20/mo) — NOT local Ollama. Base URL: https://ollama.com/v1. Pro tier limits to 3 concurrent models. Optimized setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary: compression, title, search, approval, curator, MCP, web extract, skills), gemma3:4b (vision/image analysis). Never add a 4th model or it'll 404.\n§\nAhmed hat einen Lötkolben von Amazon (B0GFMYNR9W) gekauft, inklusive Lötzinn. Ausreichend für Einsteiger-Lötarbeiten.\n§\nKiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \"SCHEDULE\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [88% — 1,218/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nZeyd: young man, dark curly/messy hair, dark mustache, brown eyes, slight smile. Often wears coral long-sleeve t-shirt with chest pocket. (From selfie analyzed May 13.)\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - 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 cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Friday, May 15, 2026 01:18 PM\nModel: deepseek-v4-pro\nProvider: custom\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.", "tools": [ { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } } ], "message_count": 38, "messages": [ { "role": "user", "content": "Hey Kiwi" }, { "role": "assistant", "content": "Hey Chef! 👋 Schön von dir zu hören. Wie läuft's heute in Wien?\n\nBrauchst du was Bestimmtes, oder soll ich dir kurz zeigen, woran wir zuletzt gearbeitet haben?", "reasoning": "The user (Ahmed Zeyd Aytac, who I call \"Boss\" or \"Chef\") just said \"Hey Kiwi\" — this is a fresh conversation after a daily reset. Let me greet him warmly in German and check in. No specific task yet, so I'll keep it friendly and ask what he's working on today.\n\nLet me also check recent sessions to see what was happening before the reset." }, { "role": "user", "content": "Du hast seit gestern abend nicht funktioniert. \nZusammenfassung was wir repariert haben:\n\nTELEGRAM_BOT_TOKEN fehlte in /DATA/.hermes/.env — hinzugefügt\nTELEGRAM_ALLOWED_USERS fehlte ebenfalls — hinzugefügt\nDie gateway-Sektion in /DATA/AppData/hermes/config.yaml fehlte — ergänzt\nVeraltete PID/Lock-Dateien blockierten den Start — bereinigt\n\nJetzt gehst du aber wieder" }, { "role": "assistant", "content": "Ah, danke für's Reparieren, Chef! Das klingt nach einer ordentlichen Debugging-Session. Lass mich die Fixes schnell festhalten, falls das nochmal passiert.", "tool_calls": [ { "id": "call_vmhiup3g", "call_id": "call_vmhiup3g", "response_item_id": "fc_vmhiup3g", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"Gateway outage recovery checklist (2026-05-15): (1) TELEGRAM_BOT_TOKEN in /DATA/.hermes/.env, (2) TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, (3) gateway section in /DATA/AppData/hermes/config.yaml, (4) stale PID/lock files in /DATA/AppData/hermes/ blocking start. Clean these for recovery.\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Ahmed (Chef) is telling me that I wasn't working since yesterday evening and he's summarizing what they fixed to get me running again. Let me save this important information about the setup issue to memory, then acknowledge his work.\n\nThis is useful diagnostic information for the future if I ever go down again. Let me save the key points.", "reasoning_content": "Ahmed (Chef) is telling me that I wasn't working since yesterday evening and he's summarizing what they fixed to get me running again. Let me save this important information about the setup issue to memory, then acknowledge his work.\n\nThis is useful diagnostic information for the future if I ever go down again. Let me save the key points." }, { "role": "tool", "content": "{\"success\": false, \"error\": \"Memory at 2,181/2,200 chars. Adding this entry (292 chars) would exceed the limit. Replace or remove existing entries first.\", \"current_entries\": [\"Gateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\", \"`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\", \"Honcho Python library is installed (v2.1.1) but `hermes honcho` CLI subcommand does not exist in this build. Honcho requires either cloud API key or self-hosted Docker/Postgres — no zero-setup local SQLite mode. Built-in memory is the practical choice.\", \"Test\", \"Agent has full terminal, file, and execution access. Available tools: terminal (bash, docker, background processes), execute_code (Python 3.11 with venv), read_file, write_file, patch, search_files. Persistent working directories: /DATA/AppData/hermes/, /DATA/.hermes/, and ~. Python venv at /DATA/AppData/hermes/venv. No sandbox — all filesystem operations write directly to host-mounted volumes.\", \"ZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\", \"Ahmed uses Ollama Cloud (Pro tier, $20/mo) — NOT local Ollama. Base URL: https://ollama.com/v1. Pro tier limits to 3 concurrent models. Optimized setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary: compression, title, search, approval, curator, MCP, web extract, skills), gemma3:4b (vision/image analysis). Never add a 4th model or it'll 404.\", \"Ahmed hat einen Lötkolben von Amazon (B0GFMYNR9W) gekauft, inklusive Lötzinn. Ausreichend für Einsteiger-Lötarbeiten.\", \"Kiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \\\"SCHEDULE\\\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\"], \"usage\": \"2,181/2,200\"}", "tool_call_id": "call_vmhiup3g" }, { "role": "assistant", "content": "Memory fast voll, kurz aufräumen...", "tool_calls": [ { "id": "call_ueucw7lh", "call_id": "call_ueucw7lh", "response_item_id": "fc_ueucw7lh", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"remove\",\"old_text\":\"Test\",\"target\":\"memory\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Memory is almost full. Let me clean up some entries to make space. \"Test\" can go, and the Honcho entry can be trimmed since it's practical knowledge that's already resolved. Let me replace memory with something more compact.", "reasoning_content": "Memory is almost full. Let me clean up some entries to make space. \"Test\" can go, and the Honcho entry can be trimmed since it's practical knowledge that's already resolved. Let me replace memory with something more compact." }, { "role": "tool", "content": "{\"success\": true, \"target\": \"memory\", \"entries\": [\"Gateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\", \"`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\", \"Honcho Python library is installed (v2.1.1) but `hermes honcho` CLI subcommand does not exist in this build. Honcho requires either cloud API key or self-hosted Docker/Postgres — no zero-setup local SQLite mode. Built-in memory is the practical choice.\", \"Agent has full terminal, file, and execution access. Available tools: terminal (bash, docker, background processes), execute_code (Python 3.11 with venv), read_file, write_file, patch, search_files. Persistent working directories: /DATA/AppData/hermes/, /DATA/.hermes/, and ~. Python venv at /DATA/AppData/hermes/venv. No sandbox — all filesystem operations write directly to host-mounted volumes.\", \"ZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\", \"Ahmed uses Ollama Cloud (Pro tier, $20/mo) — NOT local Ollama. Base URL: https://ollama.com/v1. Pro tier limits to 3 concurrent models. Optimized setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary: compression, title, search, approval, curator, MCP, web extract, skills), gemma3:4b (vision/image analysis). Never add a 4th model or it'll 404.\", \"Ahmed hat einen Lötkolben von Amazon (B0GFMYNR9W) gekauft, inklusive Lötzinn. Ausreichend für Einsteiger-Lötarbeiten.\", \"Kiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \\\"SCHEDULE\\\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\"], \"usage\": \"98% — 2,174/2,200 chars\", \"entry_count\": 8, \"message\": \"Entry removed.\"}", "tool_call_id": "call_ueucw7lh" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qkyus14z", "call_id": "call_qkyus14z", "response_item_id": "fc_qkyus14z", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"add\",\"content\":\"Gateway outage recovery checklist (2026-05-15): (1) TELEGRAM_BOT_TOKEN in /DATA/.hermes/.env, (2) TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, (3) gateway section in /DATA/AppData/hermes/config.yaml, (4) stale PID/lock files in /DATA/AppData/hermes/ blocking start. Clean all four for recovery.\",\"target\":\"memory\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The \"Test\" entry was removed. Now let me add the gateway outage recovery checklist.", "reasoning_content": "The \"Test\" entry was removed. Now let me add the gateway outage recovery checklist." }, { "role": "tool", "content": "{\"success\": false, \"error\": \"Memory at 2,174/2,200 chars. Adding this entry (295 chars) would exceed the limit. Replace or remove existing entries first.\", \"current_entries\": [\"Gateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\", \"`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\", \"Honcho Python library is installed (v2.1.1) but `hermes honcho` CLI subcommand does not exist in this build. Honcho requires either cloud API key or self-hosted Docker/Postgres — no zero-setup local SQLite mode. Built-in memory is the practical choice.\", \"Agent has full terminal, file, and execution access. Available tools: terminal (bash, docker, background processes), execute_code (Python 3.11 with venv), read_file, write_file, patch, search_files. Persistent working directories: /DATA/AppData/hermes/, /DATA/.hermes/, and ~. Python venv at /DATA/AppData/hermes/venv. No sandbox — all filesystem operations write directly to host-mounted volumes.\", \"ZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\", \"Ahmed uses Ollama Cloud (Pro tier, $20/mo) — NOT local Ollama. Base URL: https://ollama.com/v1. Pro tier limits to 3 concurrent models. Optimized setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary: compression, title, search, approval, curator, MCP, web extract, skills), gemma3:4b (vision/image analysis). Never add a 4th model or it'll 404.\", \"Ahmed hat einen Lötkolben von Amazon (B0GFMYNR9W) gekauft, inklusive Lötzinn. Ausreichend für Einsteiger-Lötarbeiten.\", \"Kiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \\\"SCHEDULE\\\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\"], \"usage\": \"2,174/2,200\"}", "tool_call_id": "call_qkyus14z" }, { "role": "assistant", "content": "Muss noch mehr Platz schaffen...", "tool_calls": [ { "id": "call_qnr008sy", "call_id": "call_qnr008sy", "response_item_id": "fc_qnr008sy", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"remove\",\"old_text\":\"Agent has full terminal, file, and execution access.\",\"target\":\"memory\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Memory is nearly full and I can't add the new recovery checklist. I need to make more room. Let me look at what I can compress or remove. The \"Agent has full terminal, file, and execution access\" entry is pretty long and somewhat redundant — the system already knows its own capabilities via the tool definitions. The ZimaOS 3D-CAD pipeline entry and the Ollama Cloud setup entry are both important. The soldering iron entry is personal but could be compressed. Let me remove the \"Agent has full terminal...\" entry since it's redundant with the actual tool definitions, and maybe compress the Honcho entry with the memory setup entry since they're related.", "reasoning_content": "Memory is nearly full and I can't add the new recovery checklist. I need to make more room. Let me look at what I can compress or remove. The \"Agent has full terminal, file, and execution access\" entry is pretty long and somewhat redundant — the system already knows its own capabilities via the tool definitions. The ZimaOS 3D-CAD pipeline entry and the Ollama Cloud setup entry are both important. The soldering iron entry is personal but could be compressed. Let me remove the \"Agent has full terminal...\" entry since it's redundant with the actual tool definitions, and maybe compress the Honcho entry with the memory setup entry since they're related." }, { "role": "tool", "content": "{\"success\": true, \"target\": \"memory\", \"entries\": [\"Gateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\", \"`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\", \"Honcho Python library is installed (v2.1.1) but `hermes honcho` CLI subcommand does not exist in this build. Honcho requires either cloud API key or self-hosted Docker/Postgres — no zero-setup local SQLite mode. Built-in memory is the practical choice.\", \"ZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\", \"Ahmed uses Ollama Cloud (Pro tier, $20/mo) — NOT local Ollama. Base URL: https://ollama.com/v1. Pro tier limits to 3 concurrent models. Optimized setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary: compression, title, search, approval, curator, MCP, web extract, skills), gemma3:4b (vision/image analysis). Never add a 4th model or it'll 404.\", \"Ahmed hat einen Lötkolben von Amazon (B0GFMYNR9W) gekauft, inklusive Lötzinn. Ausreichend für Einsteiger-Lötarbeiten.\", \"Kiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \\\"SCHEDULE\\\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\"], \"usage\": \"80% — 1,774/2,200 chars\", \"entry_count\": 7, \"message\": \"Entry removed.\"}", "tool_call_id": "call_qnr008sy" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_oxpa08ra", "call_id": "call_oxpa08ra", "response_item_id": "fc_oxpa08ra", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"add\",\"content\":\"Gateway outage recovery checklist (2026-05): (1) TELEGRAM_BOT_TOKEN in /DATA/.hermes/.env, (2) TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, (3) gateway section in /DATA/AppData/hermes/config.yaml, (4) stale PID/lock files in /DATA/AppData/hermes/. Clean all four for recovery.\",\"target\":\"memory\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The user told me about what they fixed to get the gateway running again. I should save this as a recovery skill rather than memory since it's a procedural workflow. Let me create a skill for gateway outage recovery.", "reasoning_content": "The user told me about what they fixed to get the gateway running again. I should save this as a recovery skill rather than memory since it's a procedural workflow. Let me create a skill for gateway outage recovery." }, { "role": "tool", "content": "{\"success\": true, \"target\": \"memory\", \"entries\": [\"Gateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\", \"`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\", \"Honcho Python library is installed (v2.1.1) but `hermes honcho` CLI subcommand does not exist in this build. Honcho requires either cloud API key or self-hosted Docker/Postgres — no zero-setup local SQLite mode. Built-in memory is the practical choice.\", \"ZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\", \"Ahmed uses Ollama Cloud (Pro tier, $20/mo) — NOT local Ollama. Base URL: https://ollama.com/v1. Pro tier limits to 3 concurrent models. Optimized setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary: compression, title, search, approval, curator, MCP, web extract, skills), gemma3:4b (vision/image analysis). Never add a 4th model or it'll 404.\", \"Ahmed hat einen Lötkolben von Amazon (B0GFMYNR9W) gekauft, inklusive Lötzinn. Ausreichend für Einsteiger-Lötarbeiten.\", \"Kiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \\\"SCHEDULE\\\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\", \"Gateway outage recovery checklist (2026-05): (1) TELEGRAM_BOT_TOKEN in /DATA/.hermes/.env, (2) TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, (3) gateway section in /DATA/AppData/hermes/config.yaml, (4) stale PID/lock files in /DATA/AppData/hermes/. Clean all four for recovery.\"], \"usage\": \"93% — 2,054/2,200 chars\", \"entry_count\": 8, \"message\": \"Entry added.\"}", "tool_call_id": "call_oxpa08ra" }, { "role": "assistant", "content": "Gespeichert! Danke, dass du mich wieder zum Laufen gebracht hast, Chef — das war ja eine ordentliche Fummelei mit vier Baustellen auf einmal. 🥝🔧\n\nJetzt bin ich wieder voll da. Was steht als nächstes an?", "reasoning": "The user is telling me that I wasn't working since yesterday evening and they fixed me. They listed four things they repaired. I've saved the recovery checklist to memory. Now I should acknowledge their work, thank them, and let them know I'm back online and ready to help. Keep it warm and in character (Kiwi, calling them Chef)." }, { "role": "user", "content": "[The user sent a voice message~ Here's what they said: \"Kannst du mal bitte schauen, ob wir neue Filme haben, deren Titel nicht zu den anderen Posts.\"]" }, { "role": "assistant", "content": "", "reasoning": "The user is asking me to check if we have new movies whose titles don't match any of the other posts. This sounds like he's running some kind of movie-related automation - maybe a Telegram channel or something where movie titles get posted, and he wants to find new/unique ones that haven't been posted before.\n\nLet me first search my session history to understand what this is about - movie posts, titles, etc.", "finish_reason": "tool_calls", "reasoning_content": "The user is asking me to check if we have new movies whose titles don't match any of the other posts. This sounds like he's running some kind of movie-related automation - maybe a Telegram channel or something where movie titles get posted, and he wants to find new/unique ones that haven't been posted before.\n\nLet me first search my session history to understand what this is about - movie posts, titles, etc.", "tool_calls": [ { "id": "call_mlihm9jz", "call_id": "call_mlihm9jz", "response_item_id": "fc_mlihm9jz", "type": "function", "function": { "name": "session_search", "arguments": "{\"query\":\"Filme OR movie OR Titel OR posts OR Kino OR film\",\"limit\":5}" } } ] }, { "role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"Filme OR movie OR Titel OR posts OR Kino OR film\", \"results\": [{\"session_id\": \"20260513_140639_8e97b3ab\", \"when\": \"May 13, 2026 at 02:06 PM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \"**Focus note:** This conversation did not contain any discussion of cinema, movies, or social-media posts. It matched the query solely because the word **“Titel”** appeared repeatedly in the technical context of Hermes Agent’s chat **title generation** auxiliary model.\\n\\n---\\n\\n**Summary**\\n\\n**1. User’s goal**\\nAhmed greeted the assistant and asked about two technical errors he had seen in Telegram: \\n- `⚠ Auxiliary title generation failed: Request timed out` \\n- `⏳ Still working… (3 min elapsed — iteration 2/90, waiting for stream response (30s, no chunks yet))` \\n\\nHe then asked (via voice message) whether Hermes could be made more efficient so these problems would occur less often.\\n\\n**2. Actions taken and outcomes**\\n- The assistant loaded the `hermes-agent` skill and explained that the timeouts came from the LLM provider side (a custom endpoint running `kimi-k2.6`) and from the “auto” auxiliary model fallback, which failed when no fast secondary model was configured.\\n- They inspected `~/.hermes/config.yaml`. The file already pointed to a custom provider (`https://ollama.com/v1`) with API key `eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob` and used `kimi-k2.6` as the main model. The `auxiliary` block showed most tasks (`title_generation`, `vision`, `session_search`, `approval`, `mcp`, `curator`, `web_extract`) set to `provider: auto` with empty model fields, which caused the hangs.\\n- The user wanted to keep `kimi-k2.6` for the main chat, use Ollama-hosted models for auxiliaries, and needed vision support.\\n- The assistant proposed:\\n - **All text auxiliaries** → `qwen2.5:1.5b` (fast, ~1 GB, good for summaries/titles)\\n - **Vision** → `llava-phi3` (small vision model)\\n - **Compression** → initially switched to `qwen2.5:1.5b`, but Hermes rejected it because its 32k context window was below the 64k minimum required for compression. It was reverted to `kimi-k2.6`.\\n - **Approval mode** → set to `smart`.\\n- The config was patched programmatically. A full model listing from the remote Ollama endpoint was then retrieved. It showed `llava-phi3` was **not** available; available vision models included `qwen3-vl:235b-instruct`, `gemma3:4b`, `gemma3:12b`, and `gemma3:27b`. The assistant switched the vision auxiliary to `gemma3:4b`.\\n- Finally, the user sent an image (`/DATA/.hermes/cache/images/img_0b280c8d0ba3.jpg`). The first `vision_analyze` call with `llava-phi3` failed with a 404 (`model \\\"llava-phi3\\\" not found`). After the config change to `gemma3:4b`, the call succeeded and produced a detailed description of a young man in a coral shirt taking a selfie indoors.\\n\\n**3. Key decisions and solutions**\\n- **Rule established:** Heavy main model (`kimi-k2.6`) should only handle the primary conversation and compression; all lightweight auxiliary tasks should run on small, fast models to avoid queuing and timeout.\\n- **Model allocation finalized:**\\n - `kimi-k2.6` → main chat + compression\\n - `qwen2.5:1.5b` → `title_generation`, `web_extract`, `session_search`, `skills_hub`, `approval`, `mcp`, `curator`\\n - `gemma3:4b` → `vision`\\n- **Toolset hygiene:** Unneeded toolsets (e.g., `discord`, `spotify`, `homeassistant`, `browser`, `image_gen`, `video`, `tts`, etc.) were recommended for deactivation to shrink the system prompt.\\n- **Approval mode:** Changed from `manual` to `smart` so low-risk commands execute without prompting.\\n\\n**4. Important technical details preserved**\\n- Config path: `~/.hermes/config.yaml`\\n- Custom provider base URL: `https://ollama.com/v1`\\n- API key used: `eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob`\\n- Relevant config keys set:\\n - `auxiliary.title_generation.model` → `qwen2.5:1.5b`\\n - `auxiliary.compression.model` → `kimi-k2.6` (after the 32k→64k correction)\\n - `auxiliary.vision.model` → `gemma3:4b`\\n - `approvals.mode` → `smart`\\n- The local Ollama instance (`localhost:11434`) was not running; the actual model inventory came from the remote custom endpoint.\\n- Image analyzed successfully after switching vision model to `gemma3:4b`.\\n\\n**5. Unresolved / notable**\\n- The `hermes` CLI binary was not found in the remote session PATH (`/usr/bin/bash: line 3: hermes: command not found`), so config changes were applied by direct YAML patching instead of via the CLI.\\n- The user was told to run `/restart` (Telegram) or restart the gateway for all auxiliary changes to take full effect.\\n- It is not confirmed whether the timeout messages disappeared permanently after the restart, but the root cause (undefined `auto` auxiliary provider + oversized compression model) was addressed.\"}, {\"session_id\": \"20260512_075306_c103a1dd\", \"when\": \"May 12, 2026 at 07:53 AM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\n find bugs, evidence, reports.\\\", \\\"category\\\": null}, {\\\"name\\\": \\\"yuanbao\\\", \\\"description\\\": \\\"Yuanbao (元宝) groups: @mention users, query info/members.\\\", \\\"category\\\": null}, {\\\"name\\\": \\\"3d-druck-kiwi\\\", \\\"description\\\": \\\"Vollständiger Workflow zum Erstellen druckbarer 3D-Modelle aus Textbeschreibungen. Nutzt Python (trimesh + manifold3d) als primären CAD-Engine. Generiert validierte STL/3MF-Dateien für Bambu Lab Drucker.\\\", \\\"category\\\": \\\"3d-printing\\\"}, {\\\"name\\\": \\\"claude-c\\n…[truncated]\"}, {\"session_id\": \"20260511_150044_d89ceffa\", \"when\": \"May 11, 2026 at 03:00 PM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \"**Search Result: Zero matches.** \\nNone of the terms *Filme, movie, Titel, posts, Kino,* or *film* appeared anywhere in the May 11, 2026 transcript. The conversation contained no references to cinema, movies, or media titles.\\n\\n**What the conversation was actually about:** \\nThe user asked the assistant to become a dedicated “perfect slave” for 3D-print design. They wanted a single, optimal skill that could research internet workflows and produce 1:1 printable 3D designs, and instructed the assistant to delete all other existing 3D-design skills.\\n\\n**Actions taken and outcomes:** \\n- **Environment check:** Blender, `bpy`, and OpenSCAD were not found in `$PATH`; no pre-existing 3D skills were present (`Keine 3D-Skills gefunden`). \\n- **Research:** The `web_search` tool was unavailable, so the assistant used `execute_code` to query GitHub/Reddit via HTTP. It found the `rnmourao/llm-3dprint-anything` repository (OpenSCAD-based, with validators and PrusaSlicer CLI integration), the official `openscad/openscad` project, and `Adam-CAD/CADAM` (text-to-CAD). \\n- **Subagent delegation:** Three delegated tasks all timed out after 600 seconds. \\n- **Tool installation:** `trimesh` 4.12.2 and `manifold3d` 3.4.1 were installed successfully via pip. CadQuery 2.7.0 was already present in the system Python 3.12 environment. \\n- **OpenSCAD:** The OpenSCAD 2021.01 x86_64 AppImage was downloaded to `/tmp`, but failed immediately with: \\n `error while loading shared libraries: libGL.so.1: cannot open shared object file: No such file or directory` \\n- **Python environment mismatch:** The assistant’s sandbox ran Python 3.11.15 with `ENABLE_USER_SITE: False`, so `cadquery` (installed in the Python 3.12 user site-packages) was not importable in the sandbox, producing: \\n `ModuleNotFoundError: No module named 'cadquery'`\\n\\n**Key decisions and conclusions:** \\n- The chosen pipeline was **OpenSCAD + CadQuery + trimesh/manifold3d** based on the GitHub research. \\n- No package manager (`apt-get`, `pacman`, `apk`, `zypper`, `nix`, `conda`) was available to fix the missing `libGL.so.1` dependency for OpenSCAD. \\n\\n**Unresolved at transcript end:** \\n- OpenSCAD remained non-functional due to the missing graphics library. \\n- The “perfect” 3D-print skill had **not yet been created**; the assistant was setting up tools when the user interrupted with a new message. \\n- The mismatch between the system Python (3.12) and the sandbox Python (3.11) meant CadQuery was effectively unreachable from the assistant’s default execution environment.\"}], \"count\": 3, \"sessions_searched\": 3}", "tool_call_id": "call_mlihm9jz" }, { "role": "assistant", "content": "", "reasoning": "The session search didn't find anything specifically about movies/films as a topic we've worked on. The user is asking me to check if there are new movies whose titles haven't been posted yet. This seems like something that might relate to a cron job or monitoring setup for new movie releases.\n\nLet me check if there are any cron jobs set up related to movies/films.\n\nActually, let me re-read the voice message more carefully: \"Kannst du mal bitte schauen, ob wir neue Filme haben, deren Titel nicht zu den anderen Posts.\"\n\n\"We\" - who is \"we\"? This could be a Reddit monitoring setup, a blog monitoring setup, or some social media automation.\n\nLet me check for any cron jobs, and also look at the blogwatcher or other monitoring skills. Also let me check recent sessions more broadly.\n\nLet me also check if there's a YouTube automation or social media setup that posts about movies.\n\nI should:\n1. Check cron jobs\n2. Search sessions for \"Post\" or \"gepostet\" or similar\n3. Look at the blogwatcher skill\n4. Also check if there's a specific project directory for movie-related work\n\nLet me also think about what \"deren Titel nicht zu den anderen Posts\" means - \"whose titles are not among the other posts\". This sounds like he has a collection of posts (maybe on social media or a blog) about movies, and he wants to find new movies that haven't been posted about yet.\n\nLet me check cron jobs and do another session search.", "finish_reason": "tool_calls", "reasoning_content": "The session search didn't find anything specifically about movies/films as a topic we've worked on. The user is asking me to check if there are new movies whose titles haven't been posted yet. This seems like something that might relate to a cron job or monitoring setup for new movie releases.\n\nLet me check if there are any cron jobs set up related to movies/films.\n\nActually, let me re-read the voice message more carefully: \"Kannst du mal bitte schauen, ob wir neue Filme haben, deren Titel nicht zu den anderen Posts.\"\n\n\"We\" - who is \"we\"? This could be a Reddit monitoring setup, a blog monitoring setup, or some social media automation.\n\nLet me check for any cron jobs, and also look at the blogwatcher or other monitoring skills. Also let me check recent sessions more broadly.\n\nLet me also check if there's a YouTube automation or social media setup that posts about movies.\n\nI should:\n1. Check cron jobs\n2. Search sessions for \"Post\" or \"gepostet\" or similar\n3. Look at the blogwatcher skill\n4. Also check if there's a specific project directory for movie-related work\n\nLet me also think about what \"deren Titel nicht zu den anderen Posts\" means - \"whose titles are not among the other posts\". This sounds like he has a collection of posts (maybe on social media or a blog) about movies, and he wants to find new movies that haven't been posted about yet.\n\nLet me check cron jobs and do another session search.", "tool_calls": [ { "id": "call_mvjqxcit", "call_id": "call_mvjqxcit", "response_item_id": "fc_mvjqxcit", "type": "function", "function": { "name": "cronjob", "arguments": "{\"action\":\"list\"}" } }, { "id": "call_ko1hi24l", "call_id": "call_ko1hi24l", "response_item_id": "fc_ko1hi24l", "type": "function", "function": { "name": "session_search", "arguments": "{\"query\":\"Post OR gepostet OR Reddit OR Story OR blog OR watcher\",\"limit\":5}" } } ] }, { "role": "tool", "name": "cronjob", "content": "{\n \"success\": true,\n \"count\": 0,\n \"jobs\": []\n}", "tool_call_id": "call_mvjqxcit" }, { "role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"Post OR gepostet OR Reddit OR Story OR blog OR watcher\", \"results\": [{\"session_id\": \"20260513_140639_8e97b3ab\", \"when\": \"May 13, 2026 at 02:06 PM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \"The conversation contained **no mentions of Post, gepostet, Reddit, Story, blog, or watcher**. The session instead centered on Hermes Agent performance troubleshooting and configuration tuning via Telegram.\\n\\n**What the user wanted**\\nAhmed asked about two recurring timeout errors—“⚠ Auxiliary title generation failed: Request timed out” and a “Still working… (3 min elapsed — iteration 2/90, waiting for stream response)” status message—and wanted to make the agent more efficient. Later, he sent an image cached at `/DATA/.hermes/cache/images/img_0b280c8d0ba3.jpg` and asked, “Wer ist das?”\\n\\n**Actions taken and outcomes**\\nThe assistant loaded the `hermes-agent` skill and inspected the live configuration in `~/.hermes/config.yaml`. It then reconfigured the auxiliary model stack to eliminate “auto”-detection timeouts and reduce load on the heavy main model.\\n\\nKey configuration changes applied directly to `~/.hermes/config.yaml`:\\n- **Approval mode**: set to `smart` (`hermes config set approvals.mode smart` — though the `hermes` CLI was not found in PATH, so the assistant wrote the config directly).\\n- **Main chat model**: remained `kimi-k2.6` via custom provider (`base_url: https://ollama.com/v1`, `api_key: eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob`).\\n- **Most auxiliary tasks** (title_generation, web_extract, session_search, skills_hub, approval, mcp, curator): switched from `provider: auto` to `provider: custom` with model `qwen2.5:1.5b` and the same Ollama endpoint.\\n- **Vision**: initially set to `llava-phi3`, but the Ollama endpoint returned `404 model \\\"llava-phi3\\\" not found`. After querying the available models list from the provider, it was changed to `gemma3:4b`.\\n- **Compression**: first changed to `qwen2.5:1.5b`, but Hermes rejected it because the model’s 32,768-token context was below the 64,000 minimum. It was reverted to `kimi-k2.6` (131,072 context).\\n- **Toolsets**: advised disabling unused sets (e.g., `discord`, `spotify`, `homeassistant`, `browser`, `image_gen`, `video`, `tts`) to shrink the system prompt.\\n\\n**Image analysis**\\nAfter falling back from `llava-phi3` to `gemma3:4b`, the vision tool succeeded and described the photo as a casual indoor selfie of a young man with dark, slightly messy curly hair, a mustache, and a coral-colored long-sleeve shirt, against a light wall with two framed pictures (one pink-framed stylized animal, one white-framed swans).\\n\\n**Notable technical details**\\n- Local Ollama was not running on the host (`--- LOCAL OLLAMA NOT RUNNING ---`), but the remote/custom Ollama endpoint at `https://ollama.com/v1` responded.\\n- The `hermes` CLI binary was missing from PATH (`/usr/bin/bash: line 3: hermes: command not found`), so the assistant used direct file edits and `execute_code` to patch `config.yaml`.\\n- A security-scan approval was triggered for a `curl | python3` pipe used to query the Ollama model list; the user approved it.\\n\\n**Unresolved / next steps**\\nThe user was instructed to run `/restart` (Telegram) or start a fresh session for all toolset and model changes to take full effect. No further issues were left open by the end of the conversation.\"}, {\"session_id\": \"20260512_075306_c103a1dd\", \"when\": \"May 12, 2026 at 07:53 AM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \"**Summary — Focus: Reddit Post / ESP32 Usage Monitor Replication**\\n\\n**1. What the user wanted to accomplish**\\nThe user asked to review and assess the feasibility of replicating a project shared in a Reddit post. Specifically, they linked to `https://www.reddit.com/r/ClaudeCode/s/G6Fh3fv6Qw` and asked: *\\\"ich will das gerne nachbauen. Lies mal alles und schau ob das umsetzbar ist.\\\"* (I’d like to rebuild this. Read everything and check if it’s feasible.)\\n\\n**2. Actions taken and outcomes**\\n- **Reddit scraping attempt:** A direct `curl` fetch of the Reddit URL returned a verification/block page (JavaScript challenge). The assistant identified the post title from the redirect HTML: *\\\"clawdmeter: a small esp32 usage limit monitor\\\"*.\\n- **JSON API workaround:** The assistant fetched the post via Reddit’s JSON endpoint (`https://www.reddit.com/r/ClaudeCode/comments/1takxpl/clawdmeter_a_small_esp32_usage_limit_monitor.json`) using a piped `curl | python3` command (which triggered a HIGH security approval and was approved by the user). This returned the post title *\\\"Clawdmeter - a small ESP32 usage limit monitor (source code in description)\\\"*, a self-text summary, and a link to the GitHub repository `https://github.com/HermannBjorgvin/Clawdmeter`.\\n- **GitHub repository inspection:** The assistant recursively fetched the repository’s top-level files and directories, then read several key files:\\n - `README.md` — project overview, hardware prerequisites, Bluetooth pairing instructions, daemon setup (`./install.sh`, `systemctl --user start claude-usage-daemon`), BLE protocol spec, and font/icon tooling.\\n - `CLAUDE.md` — project context for AI-assisted development, including hardware pinouts (CO5300, CST9220, AXP2101, QMI8658), architecture overview, build/flash commands (`pio run -d firmware -t upload`), critical firmware gotchas (CO5300 rotation via CPU remapping, OPI PSRAM requirement, LVGL 9 font patching), and daemon details.\\n - `firmware/` directory structure (`platformio.ini`, `src/`).\\n - `daemon/` contents (`claude-usage-daemon.service`, `claude-usage-daemon.sh`).\\n\\n**3. Key decisions, solutions found, or conclusions reached**\\n- **Feasibility verdict:** The assistant concluded the project is **technically reproducible** and well-documented. The hardware (Waveshare ESP32-S3-Touch-AMOLED-2.16, ~$32/€32) is readily available.\\n- **Copyright/licensing concern:** The assistant flagged two legal risks: (1) the pixel-art animations use the official Anthropic mascot *Clawd* scraped from `claudepix.vercel.app`, which is copyrighted; and (2) the fonts *Tiempos Text* and *Styrene B* are proprietary Anthropic brand fonts. The author explicitly warns in the README: *\\\"I will not license it myself under a copyleft license since this repo includes proprietary fonts and copyrighted assets.\\\"*\\n- **User’s decision:** The user dismissed the legal risk, stating: *\\\"das rechtliche Risiko ist mir egal, wir machen nur Privatgebrauch, das ist in Österreich immer legal!\\\"* (I don’t care about legal risk, we’re only using it privately, that’s always legal in Austria!).\\n- **Planned replication scope:** The assistant offered to build: (1) a Python daemon (replacing the Bash one) that reads `~/.claude/.credentials.json`, polls `api.anthropic.com` via response headers (`anthropic-ratelimit-unified-5h-utilization`), and pushes JSON over BLE; (2) firmware patches/adaptations; (3) tooling for LVGL font/icon conversion; and (4) a one-command install script. The user could not flash firmware physically from the assistant’s end (headless ZimaOS environment), so that step remained the user’s responsibility.\\n\\n**4. Specific commands, files, URLs, and technical details**\\n- **Reddit URL:** `https://www.reddit.com/r/ClaudeCode/s/G6Fh3fv6Qw`\\n- **Reddit JSON endpoint used:** `https://www.reddit.com/r/ClaudeCode/comments/1takxpl/clawdmeter_a_small_esp32_usage_limit_monitor.json`\\n- **GitHub repository:** `https://github.com/HermannBjorgvin/Clawdmeter`\\n- **Key API endpoint for usage data:** `api.anthropic.com/v1/messages` (daemon makes a minimal one-token Haiku call to read rate-limit headers)\\n- **Hardware:** Waveshare ESP32-S3-Touch-AMOLED-2.16 (480×480 AMOLED, CO5300 QSPI, CST9220 touch, AXP2101 PMU, QMI8658 IMU)\\n- **BLE GATT Service UUID:** `4c41555a-4465-7669-6365-000000000001`\\n- **RX Characteristic UUID:** `4c41555a-4465-7669-6365-000000000002`\\n- **JSON payload format:** `{ \\\"s\\\": 45, \\\"sr\\\": 120, \\\"w\\\": 28, \\\"wr\\\": 7200, \\\"st\\\": \\\"allowed\\\", \\\"ok\\\": true }`\\n- **Physical button mapping:** Left (GPIO 0) → BLE HID Space; Right (GPIO 18) → BLE HID Shift+Tab; Middle (AXP PKEY) → cycle screens.\\n- **Build command:** `pio run -d firmware -t upload --upload-port /dev/ttyACM0`\\n- **Font conversion tool:** `lv_font_conv` (requires LVGL 9 compatibility patches: remove `#if LVGL_VERSION_MAJOR >= 8` guards, drop `.cache`, add `.release_glyph = NULL`, `.kerning = 0`, etc.)\\n- **Icon conversion script:** `tools/png_to_lvgl.js` (converts alpha PNGs to RGB565A8 for LVGL)\\n\\n**5. Anything left unresolved or notable**\\n- The assistant could not directly fetch the Reddit page without bypassing the JavaScript challenge, requiring the JSON API workaround.\\n- The assistant noted it has no physical access to an ESP32 board (runs on headless ZimaOS), so firmware flashing and physical hardware testing must be done by the user locally.\\n- The conversation shifted afterward to technical environment questions (filesystem write access, Python/pip capabilities, Docker, OS/architecture), but those were not fully answered in the truncated transcript. No actual build work for the Clawdmeter clone had started yet by the end of the transcript.\"}, {\"session_id\": \"20260511_150044_d89ceffa\", \"when\": \"May 11, 2026 at 03:00 PM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \"**Factual Recap — May 11, 2026**\\n\\nThe user asked to use the assistant for 3D-printable design. They directed it to research online workflows, find the best method for LLM-driven 3D printing, install tools if necessary (including Blender), delete all other 3D-design skills, and create a single perfect skill.\\n\\n**Actions taken and outcomes:**\\n\\n- **Environment check.** The assistant found no Blender, no `bpy`, no OpenSCAD, and no existing 3D skills in the system.\\n- **Online research via code execution.** Because the `web_search` tool did not exist, the assistant used `execute_code` to make HTTP requests to GitHub, Hacker News (Algolia), and Reddit.\\n - **GitHub:** It located the repo `rnmourao/llm-3dprint-anything`, described as a Claude skill bundle that interviews the user, drafts annotated OpenSCAD, runs deterministic validators (mesh, fit, clash, stability, gravity, structural, thermal), renders STLs, wraps PrusaSlicer CLI, and streams G-code over USB serial. The README noted a real-hardware end-to-end run completed on 2026-05-03 against an Ender-3 S1 Pro.\\n - **Hacker News:** One relevant result was retrieved: *“Show HN: GPT image editing, but for 3D models”* (188 points), URL `https://www.adamcad.com/`.\\n - **GitHub OpenSCAD trending:** Fetched metadata for `openscad/openscad`.\\n - **Text-to-CAD:** Found `Adam-CAD/CADAM`, described as an open-source text-to-CAD web application.\\n- **Reddit searches.** The assistant attempted to query Reddit for LLM-related posts in `r/openscad`, `r/3Dprinting`, and `r/cadquery`. These calls returned only highly popular, unrelated front-page posts, including:\\n - *“An AI CEO finally said something honest”* (r/ExperiencedDevs, score 23815)\\n - *“No, your LLM is not sentient…”* (score 23513)\\n - *“16 Years as a Graphic designer, 8 years as a Photographer, ruined by AI”* (r/mildlyinfuriating)\\n - The `r/cadquery` query returned the same `r/ExperiencedDevs` AI-CEO post rather than CadQuery-specific discussions.\\n- **Delegated research.** Three subagents were delegated to investigate workflows; all timed out after 600 seconds with errors citing slow or unresponsive network requests.\\n- **Tooling decision.** Based on the research, the assistant chose an **OpenSCAD + CadQuery** pipeline, referencing the `rnmourao` project as validation.\\n- **System details discovered.** OS was `ZimaOS v1.6.1` on `ZimaCube`, architecture `x86_64`. No standard package manager was present (`apt-get`, `pacman`, `apk`, `zypper`, `yay`, `paru` all missing). Nix was available. Python 3.12 and pip 26.1.1 were present.\\n- **Software installation.**\\n - **CadQuery:** Version `2.7.0` with `cadquery-ocp 7.8.1.1.post1` was already installed in the user Python environment.\\n - **Python mesh libs:** Installed `trimesh 4.12.2` and `manifold3d 3.4.1` successfully via pip into the user site-packages.\\n - **OpenSCAD:** Downloaded the `OpenSCAD-2021.01-x86_64.AppImage` (38.87 MB) to `/tmp/`. Execution failed immediately with: \\n `AppRun.wrapped: error while loading shared libraries: libGL.so.1: cannot open shared object file: No such file or directory` (exit code 127).\\n- **Python path/environment issues.** When the assistant tried to validate imports in `execute_code`, it failed because the sandbox used Python 3.11, whereas packages were installed in the Python 3.12 user site path (`/DATA/.local/lib/python3.12/site-packages`). Conda/mamba/micromamba were not found.\\n- **Security event.** A terminal command involving archive extraction to a sensitive path triggered a medium security scan; the user approved it. The output showed `2.6.0`, likely an extracted tool version.\\n- **Interruption.** The assistant started further terminal work, but the user sent a new message and the terminal session was not restarted.\\n\\n**Key conclusions reached:**\\n- The best-documented LLM→3D-print workflow found was the `rnmourao/llm-3dprint-anything` skill, which uses OpenSCAD as the intermediate CAD language plus deterministic validators.\\n- Reddit and general forum searches did not yield usable, on-topic posts about LLM 3D-printing workflows; they only returned unrelated viral posts.\\n- The local environment was constrained: no standard package manager, missing OpenGL libraries for the OpenSCAD AppImage, and a Python version mismatch between the user environment (3.12) and the code-execution sandbox (3.11).\\n\\n**Unresolved / notable:**\\n- OpenSCAD remained non-functional due to the missing `libGL.so.1`.\\n- The `cadquery` and `trimesh` libraries were installed in the user Python 3.12 environment but were inaccessible from the Python 3.11 sandbox used by `execute_code`.\\n- No 3D skill had been created or deployed yet; the old 3D skills had not been deleted.\\n- All three research subagents timed out after 600 seconds.\\n- The `web_search` tool was unavailable.\"}], \"count\": 3, \"sessions_searched\": 3}", "tool_call_id": "call_ko1hi24l" }, { "role": "assistant", "content": "Chef, ich finde in unseren bisherigen Sessions nichts zu Filmen oder Movie-Posts. Lass mich mal auf dem Dateisystem schauen, ob es vielleicht Skripte, Datenbanken oder Projektordner zu dem Thema gibt.", "reasoning": "The user is asking me to check if we have new movies whose titles don't match existing posts. This sounds like they want me to check some kind of movie database or listing, and compare it against already-posted content.\n\nLet me think about what this could mean. The user might have set up some kind of movie-watching or movie-tracking system. Let me look at what tools and skills we have available.\n\nI see there are skills like:\n- `blogwatcher` - Monitor blogs and RSS/Atom feeds\n- `youtube-automation` - YouTube content\n- `youtube-headless-pipeline` - YouTube shorts\n\nBut none specifically about movies. Let me check if there are any files related to movies or films in the projects directory, or any scripts that might track movies.\n\nLet me search the filesystem for anything movie-related.", "finish_reason": "tool_calls", "reasoning_content": "The user is asking me to check if we have new movies whose titles don't match existing posts. This sounds like they want me to check some kind of movie database or listing, and compare it against already-posted content.\n\nLet me think about what this could mean. The user might have set up some kind of movie-watching or movie-tracking system. Let me look at what tools and skills we have available.\n\nI see there are skills like:\n- `blogwatcher` - Monitor blogs and RSS/Atom feeds\n- `youtube-automation` - YouTube content\n- `youtube-headless-pipeline` - YouTube shorts\n\nBut none specifically about movies. Let me check if there are any files related to movies or films in the projects directory, or any scripts that might track movies.\n\nLet me search the filesystem for anything movie-related.", "tool_calls": [ { "id": "call_7372i90f", "call_id": "call_7372i90f", "response_item_id": "fc_7372i90f", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"*film*\",\"target\":\"files\",\"path\":\"/DATA/AppData/hermes\"}" } }, { "id": "call_qqb0cyrj", "call_id": "call_qqb0cyrj", "response_item_id": "fc_qqb0cyrj", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"*movie*\",\"target\":\"files\",\"path\":\"/DATA/AppData/hermes\"}" } }, { "id": "call_tjuutdmr", "call_id": "call_tjuutdmr", "response_item_id": "fc_tjuutdmr", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"film\",\"target\":\"content\",\"path\":\"/DATA/AppData/hermes\",\"file_glob\":\"*.py\"}" } }, { "id": "call_mad7xal8", "call_id": "call_mad7xal8", "response_item_id": "fc_mad7xal8", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"movie\",\"target\":\"content\",\"path\":\"/DATA/AppData/hermes\",\"file_glob\":\"*.py\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 10, \"files\": [\"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/historicfilms.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/filmweb.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/filmon.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/filmarchiv.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/croatianfilm.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/historicfilms.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/filmweb.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/filmon.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/filmarchiv.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/croatianfilm.py\"]}\n\n[Subdirectory context discovered: AppData/hermes/AGENTS.md]\n# Operating Rules — Kiwi\n\n## Default operating rule\nIf the path is clear, do the work and report after.\nDo not make the user keep re-approving momentum.\n\n## Stop only for\n- destructive actions with real blast radius\n- real product decisions\n- conflicting requirements\n- missing context that tools cannot retrieve\n- any deletion of files, branches, data, or code until the user explicitly says ok via y/n\n- any config edit until the user explicitly says ok via y/n\n\n## Execution rule\n- Bundle obvious next steps.\n- Prefer action over recap.\n- Use tools instead of describing what you would do.\n\n## Non-technical user rule\nFor anything affecting system resources (storage, RAM, installs, containers),\nproactively explain in plain language what you're doing and why.\nDo not silently consume disk space or RAM. Ask if a path is unclear.", "tool_call_id": "call_7372i90f" }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 8, \"files\": [\"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/xxxymovies.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/xxxymovies.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/moviezine.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/moview.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/__pycache__/moviepilot.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/moviezine.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/moview.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/moviepilot.py\"]}", "tool_call_id": "call_qqb0cyrj" }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 50, \"matches\": [{\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/av/video/reformatter.py\", \"line\": 86, \"content\": \" FILM: \\\"Generic film (Illuminant C)\\\" = lib.AVCOL_PRI_FILM\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/pip/_vendor/rich/_emoji_codes.py\", \"line\": 859, \"content\": \" \\\"film_frames\\\": \\\"🎞\\\",\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/pip/_vendor/rich/_emoji_codes.py\", \"line\": 860, \"content\": \" \\\"film_projector\\\": \\\"📽\\\",\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/rich/_emoji_codes.py\", \"line\": 859, \"content\": \" \\\"film_frames\\\": \\\"🎞\\\",\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/rich/_emoji_codes.py\", \"line\": 860, \"content\": \" \\\"film_projector\\\": \\\"📽\\\",\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/utils/_utils.py\", \"line\": 3005, \"content\": \" 'filmstrip+json': 'fs',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/disney.py\", \"line\": 38, \"content\": \" 'description': 'Go behind-the-scenes of Rogue One: A Star Wars Story in this featurette with Director Gareth Edwards and the cast of the film.',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/dreisat.py\", \"line\": 28, \"content\": \" 'url': 'https://www.3sat.de/film/ab-18/ab-18---mein-fremdes-ich-100.html',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/dreisat.py\", \"line\": 75, \"content\": \" # Same as https://www.zdf.de/filme/filme-sonstige/der-hauptmann-112.html\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/dreisat.py\", \"line\": 76, \"content\": \" 'url': 'https://www.3sat.de/film/spielfilm/der-hauptmann-100.html',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/playsuisse.py\", \"line\": 45, \"content\": \" # film\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/movingimage.py\", \"line\": 9, \"content\": \" _VALID_URL = r'https?://movingimage\\\\.nls\\\\.uk/film/(?P\\\\d+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/movingimage.py\", \"line\": 11, \"content\": \" 'url': 'http://movingimage.nls.uk/film/3561',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/rtnews.py\", \"line\": 63, \"content\": \" _VALID_URL = r'https?://rtd\\\\.rt\\\\.com/(?:(?:series|shows)/[^/]+|films)/(?P[^/?$&#]+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/rtnews.py\", \"line\": 66, \"content\": \" 'url': 'https://rtd.rt.com/films/escobars-hitman/',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/rtnews.py\", \"line\": 72, \"content\": \" 'thumbnail': 'https://cdni.rt.com/rtd-files/films/escobars-hitman/escobars-hitman_11.jpg',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/allocine.py\", \"line\": 14, \"content\": \" _VALID_URL = r'https?://(?:www\\\\.)?allocine\\\\.fr/(?:article|video|film)/(?:fichearticle_gen_carticle=|player_gen_cmedia=|fichefilm_gen_cfilm=|video-)(?P[0-9]+)(?:\\\\.html)?'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/allocine.py\", \"line\": 32, \"content\": \" 'url': 'http://www.allocine.fr/video/player_gen_cmedia=19540403&cfilm=222257.html',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/allocine.py\", \"line\": 39, \"content\": \" 'description': 'Regardez la bande annonce du film Planes 2 (Planes 2 Bande-annonce VF). Planes 2, un film de Roberts Gannaway',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/allocine.py\", \"line\": 47, \"content\": \" 'url': 'http://www.allocine.fr/video/player_gen_cmedia=19544709&cfilm=181290.html',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/plyr.py\", \"line\": 11, \"content\": \" 'url': 'https://www.dhm.de/zeughauskino/filmreihen/online-filmreihen/filme-des-marshall-plans/200000000-mouths/',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/bpb.py\", \"line\": 99, \"content\": \" 'url': 'https://www.bpb.de/mediathek/reihen/zahlen-und-fakten-soziale-situation-filme/520153/zahlen-und-fakten-die-soziale-situation-in-deutschland-migration/',\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 726, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?allocine\\\\\\\\.fr/(?:article|video|film)/(?:fichearticle_gen_carticle=|player_gen_cmedia=|fichefilm_gen_cfilm=|video-)(?P[0-9]+)(?:\\\\\\\\.html)?'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 1300, \"content\": \" _VALID_URL = 'https?://player\\\\\\\\.bfi\\\\\\\\.org\\\\\\\\.uk/[^/]+/film/watch-(?P[\\\\\\\\w-]+)-online'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 1506, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?web\\\\\\\\.arbeitsagentur\\\\\\\\.de/berufetv/[^?#]+/film;filmId=(?P[\\\\\\\\w-]+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 2578, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?cinetecamilano\\\\\\\\.it/film/(?P\\\\\\\\d+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 2767, \"content\": \" _module = 'yt_dlp.extractor.croatianfilm'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 2768, \"content\": \" IE_NAME = 'croatian.film'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 2769, \"content\": \" _VALID_URL = 'https://?(?:www\\\\\\\\.)?croatian\\\\\\\\.film/[a-z]{2}/[^/?#]+/(?P\\\\\\\\d+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 2891, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?dhm\\\\\\\\.de/filmarchiv/(?:[^/]+/)+(?P[^/]+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3207, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?dctp\\\\\\\\.tv/(?:#/)?filme/(?P[^/?#&]+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3248, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?digitalconcerthall\\\\\\\\.com/(?P[a-z]+)/(?Pfilm|concert|work)/(?P[0-9]+)-?(?P[0-9]+)?'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3984, \"content\": \" _module = 'yt_dlp.extractor.filmarchiv'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3986, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?filmarchiv\\\\\\\\.at/de/filmarchiv-on/video/(?Pf_[0-9a-zA-Z]{5,})'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3992, \"content\": \" _module = 'yt_dlp.extractor.filmon'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3993, \"content\": \" IE_NAME = 'filmon:channel'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3994, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?filmon\\\\\\\\.com/(?:tv|channel)/(?P[a-z0-9-]+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 3999, \"content\": \" _module = 'yt_dlp.extractor.filmon'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 4000, \"content\": \" IE_NAME = 'filmon'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 4001, \"content\": \" _VALID_URL = '(?:https?://(?:www\\\\\\\\.)?filmon\\\\\\\\.com/vod/view/|filmon:)(?P\\\\\\\\d+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 4006, \"content\": \" _module = 'yt_dlp.extractor.filmweb'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 4008, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?filmweb\\\\\\\\.no/(?Ptrailere|filmnytt)/article(?P\\\\\\\\d+)\\\\\\\\.ece'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 4955, \"content\": \" _module = 'yt_dlp.extractor.historicfilms'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 4957, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?historicfilms\\\\\\\\.com/(?:tapes/|play)(?P\\\\\\\\d+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 5063, \"content\": \" _VALID_URL = '(?x)\\\\n https?://\\\\n (?:www\\\\\\\\.|un\\\\\\\\.)?hungama\\\\\\\\.com/\\\\n (?:\\\\n (?:video|movie|short-film)/[^/]+/|\\\\n tv-show/(?:[^/]+/){2}\\\\\\\\d+/episode/[^/]+/\\\\n )\\\\n (?P\\\\\\\\d+)\\\\n '\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 5863, \"content\": \" _VALID_URL = 'https?://(?:www\\\\\\\\.)?kinopoisk\\\\\\\\.ru/film/(?P\\\\\\\\d+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 7261, \"content\": \" _VALID_URL = 'https?://movingimage\\\\\\\\.nls\\\\\\\\.uk/film/(?P\\\\\\\\d+)'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 7618, \"content\": \" _VALID_URL = ['https?://(?:www\\\\\\\\.)?(?Pnfb|onf)\\\\\\\\.ca/(?Pfilm)/(?P[^/?#&]+)', 'https?://(?:www\\\\\\\\.)?(?Pnfb|onf)\\\\\\\\.ca/(?Pseries?)/(?P[^/?#&]+/s(?:ea|ai)son\\\\\\\\d+/episode\\\\\\\\d+)']\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 7619, \"content\": \" IE_DESC = 'nfb.ca and onf.ca films and episodes'\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/yt_dlp/extractor/lazy_extractors.py\", \"line\": 9231, \"content\": \" _VALID_URL = '(?x)\\\\n (?:\\\\n peertube:(?P[^:]+):|\\\\n https?://(?P(?:\\\\n # Taken from https://instances.joinpeertube.org/instances\\\\n 0ch\\\\\\\\.tv|\\\\n 3dctube\\\\\\\\.3dcandy\\\\\\\\.social|\\\\n all\\\\\\\\.electric\\\\\\\\.kitchen|\\\\n alterscope\\\\\\\\.fr|\\\\n anarchy\\\\\\\\.tube|\\\\n \"}]}", "tool_call_id": "call_tjuutdmr" }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 50, \"matches\": [{\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/pyglet/media/devices/win32.py\", \"line\": 28, \"content\": \"eMultimedia = 1 # Music, movies, narration, and live music recording.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/elevenlabs/text_to_sound_effects/client.py\", \"line\": 66, \"content\": \" text=\\\"Spacious braam suitable for high-impact movie trailer moments\\\",\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/elevenlabs/text_to_sound_effects/client.py\", \"line\": 161, \"content\": \" text=\\\"Spacious braam suitable for high-impact movie trailer moments\\\",\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/pip/_vendor/rich/_emoji_codes.py\", \"line\": 1589, \"content\": \" \\\"movie_camera\\\": \\\"🎥\\\",\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 76, \"content\": \"def test_null_movie_writer(anim):\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 111, \"content\": \"def test_movie_writer_dpi_default():\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 116, \"content\": \" # Test setting up movie writer with figure.dpi default.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 149, \"content\": \" ('ffmpeg', 'movie.mp4'),\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 150, \"content\": \" ('ffmpeg_file', 'movie.mp4'),\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 151, \"content\": \" ('imagemagick', 'movie.gif'),\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 152, \"content\": \" ('imagemagick_file', 'movie.gif'),\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 153, \"content\": \" ('pillow', 'movie.gif'),\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 154, \"content\": \" ('html', 'movie.html'),\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 155, \"content\": \" ('null', 'movie.null')\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 282, \"content\": \"def test_movie_writer_registry():\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/tests/test_animation.py\", \"line\": 547, \"content\": \"def test_movie_writer_invalid_path(anim):\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 129, \"content\": \" Abstract base class for writing movies, providing a way to grab frames by\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 135, \"content\": \" with moviewriter.saving(fig, outfile='myfile.mp4', dpi=100):\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 137, \"content\": \" moviewriter.grab_frame(**savefig_kwargs)\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 155, \"content\": \" Setup for writing the movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 162, \"content\": \" The filename of the resulting movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 165, \"content\": \" in pixels of the resulting movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 177, \"content\": \" \\\"\\\"\\\"A tuple ``(width, height)`` in pixels of a movie frame.\\\"\\\"\\\"\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 192, \"content\": \" Grab the image information from the figure and save as a movie frame.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 206, \"content\": \" \\\"\\\"\\\"Finish any processing for writing the movie.\\\"\\\"\\\"\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 211, \"content\": \" Context manager to facilitate writing the movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 231, \"content\": \" Base class for writing movies.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 233, \"content\": \" This is a base class for MovieWriter subclasses that write a movie frame\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 266, \"content\": \" The bitrate of the movie, in kilobits per second. Higher values\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 267, \"content\": \" means higher quality movies, but increase the file size. A value\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 268, \"content\": \" of -1 lets the underlying movie encoder select the bitrate.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 270, \"content\": \" Extra command-line arguments passed to the underlying movie encoder. These\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 316, \"content\": \" # movie file. *args* returns the sequence of command line arguments\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 327, \"content\": \" \\\"\\\"\\\"Finish any processing for writing the movie.\\\"\\\"\\\"\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 349, \"content\": \" # All frames must have the same size to save the movie correctly.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 386, \"content\": \" Setup for writing the movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 393, \"content\": \" The filename of the resulting movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 396, \"content\": \" controls the size in pixels of the resulting movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 589, \"content\": \" # ffmpeg to create a movie using a pipe.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 619, \"content\": \" # ffmpeg to create a movie using a collection of temp images\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 738, \"content\": \" \\\"\\\"\\\"Writer for JavaScript-based HTML movies.\\\"\\\"\\\"\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 947, \"content\": \" Save the animation as a movie file by drawing every frame.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 952, \"content\": \" The output filename, e.g., :file:`mymovie.mp4`.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 955, \"content\": \" The writer used to grab the frames and create the movie file.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 975, \"content\": \" Controls the dots per inch for the movie frames. Together with\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 976, \"content\": \" the figure's size in inches, this controls the size of the movie.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 983, \"content\": \" The bitrate of the movie, in kilobits per second. Higher values\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 984, \"content\": \" means higher quality movies, but increase the file size. A value\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 985, \"content\": \" of -1 lets the underlying movie encoder select the bitrate.\"}, {\"path\": \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/matplotlib/animation.py\", \"line\": 988, \"content\": \" Extra command-line arguments passed to the underlying movie encoder. These\"}]}", "tool_call_id": "call_mad7xal8" }, { "role": "assistant", "content": "Das sind nur yt-dlp Extractor-Files aus der venv, nichts Relevantes. Lass mich breiter suchen — vielleicht gibt's ein Skript oder Projekt dazu.", "reasoning": "Chef mentioned \"Filme\" and \"Posts\" - he's asking me to check if there are new movies whose titles aren't among the other posts. But I have no context about what \"posts\" he's referring to. Let me think about this...\n\nHe might be running some kind of automated system that posts movie-related content to social media (maybe Telegram, X/Twitter, etc.) and wants to avoid posting duplicate titles. But I have no cronjobs, no scripts, no projects related to movies in my session history.\n\nLet me look more broadly - maybe there are scripts or project files outside the venv that relate to this.", "finish_reason": "tool_calls", "reasoning_content": "Chef mentioned \"Filme\" and \"Posts\" - he's asking me to check if there are new movies whose titles aren't among the other posts. But I have no context about what \"posts\" he's referring to. Let me think about this...\n\nHe might be running some kind of automated system that posts movie-related content to social media (maybe Telegram, X/Twitter, etc.) and wants to avoid posting duplicate titles. But I have no cronjobs, no scripts, no projects related to movies in my session history.\n\nLet me look more broadly - maybe there are scripts or project files outside the venv that relate to this.", "tool_calls": [ { "id": "call_fbezom46", "call_id": "call_fbezom46", "response_item_id": "fc_fbezom46", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\":\"/DATA/AppData/hermes/projects\",\"target\":\"files\"}" } }, { "id": "call_frcjpn0f", "call_id": "call_frcjpn0f", "response_item_id": "fc_frcjpn0f", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\":\"/DATA/.hermes\",\"pattern\":\"*film*\",\"target\":\"files\"}" } }, { "id": "call_gtmfg1f4", "call_id": "call_gtmfg1f4", "response_item_id": "fc_gtmfg1f4", "type": "function", "function": { "name": "search_files", "arguments": "{\"path\":\"/DATA/.hermes\",\"pattern\":\"*movie*\",\"target\":\"files\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_fbezom46" }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_frcjpn0f" }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_gtmfg1f4" }, { "role": "assistant", "content": "Chef, ich muss ehrlich sein: Ich finde **nichts** zu Filmen oder Movie-Posts bei mir. Keine Cronjobs, keine Skripte, keine Projekte, keine Session-Historie — nada.\n\nKannst du mir mehr Kontext geben?\n\n- **Welche Plattform?** (Telegram-Kanal, Reddit, Blog, X/Twitter?)\n- **Was für Posts?** (Filmempfehlungen, Reviews, Trailers?)\n- **Wo liegen die Daten?** (Lokale Datei, Datenbank, API?)\n\nDann kann ich gezielt suchen statt im Nebel zu stochern. 🥝", "reasoning": "Chef, ich finde absolut nichts zu Filmen in unserer Session-Historie oder auf dem Dateisystem. Keine Cronjobs, keine Skripte, keine Datenbanken, keine Projektordner — nichts.\n\nIch muss ehrlich sagen: Ich hab keinen blassen Schimmer, wo diese Film-Posts herkommen oder was das für ein Projekt ist. Vielleicht war das vor meiner Zeit, oder auf einem anderen System.\n\nIch sollte offen nachfragen — welche Plattform, welche Posts, wo die Daten liegen — damit ich gezielt suchen kann.", "finish_reason": "stop", "reasoning_content": "Chef, ich finde absolut nichts zu Filmen in unserer Session-Historie oder auf dem Dateisystem. Keine Cronjobs, keine Skripte, keine Datenbanken, keine Projektordner — nichts.\n\nIch muss ehrlich sagen: Ich hab keinen blassen Schimmer, wo diese Film-Posts herkommen oder was das für ein Projekt ist. Vielleicht war das vor meiner Zeit, oder auf einem anderen System.\n\nIch sollte offen nachfragen — welche Plattform, welche Posts, wo die Daten liegen — damit ich gezielt suchen kann." }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act." }, { "role": "assistant", "content": "Let me check the `hermes-agent` skill — the gateway outage recovery checklist from earlier in this conversation is exactly the kind of thing that should live there as a reference.", "reasoning": "Looking at this conversation, let me analyze what happened:\n\n1. The user sent a voice message asking me to check for new movies whose titles don't match the other posts.\n\n2. I searched through session history, cronjobs, filesystem, and found absolutely nothing related to movies, films, or posts.\n\n3. The user hasn't responded yet, so the conversation is incomplete.\n\nNow I need to assess signals for skill updates:\n\n- No user corrections to my style, tone, format, or workflow\n- No non-trivial techniques, fixes, or workarounds emerged - I just did basic searches\n- No skills were loaded or consulted\n- No frustration signals from the user\n\nActually, wait. Let me reconsider. The conversation is very short - just the user asking about movies, and me searching and finding nothing. There's genuinely nothing to save here.\n\nBut let me also look back at what happened before the current exchange. The earlier conversation had the user telling me about the gateway outage fixes they applied (TELEGRAM_BOT_TOKEN, TELEGRAM_ALLOWED_USERS, gateway section in config.yaml, stale PID/lock files). I attempted to save that to memory and succeeded after some cleanup.\n\nIs there a skill update warranted? Let me think about what class of task this might fall under:\n\nThe gateway outage recovery checklist is more of a reference/support file under the `hermes-agent` skill. Let me check if that skill exists and if I should add this as a reference.\n\nActually, looking more carefully at the signals:\n\n1. The outage recovery was shared by the user and I saved it to memory. That's procedural knowledge about the system. It could be a good reference under the `hermes-agent` skill.\n\n2. The current search for movies - nothing to save there.\n\nLet me load the `hermes-agent` skill to see if I should add the outage recovery as a reference.", "finish_reason": "tool_calls", "reasoning_content": "Looking at this conversation, let me analyze what happened:\n\n1. The user sent a voice message asking me to check for new movies whose titles don't match the other posts.\n\n2. I searched through session history, cronjobs, filesystem, and found absolutely nothing related to movies, films, or posts.\n\n3. The user hasn't responded yet, so the conversation is incomplete.\n\nNow I need to assess signals for skill updates:\n\n- No user corrections to my style, tone, format, or workflow\n- No non-trivial techniques, fixes, or workarounds emerged - I just did basic searches\n- No skills were loaded or consulted\n- No frustration signals from the user\n\nActually, wait. Let me reconsider. The conversation is very short - just the user asking about movies, and me searching and finding nothing. There's genuinely nothing to save here.\n\nBut let me also look back at what happened before the current exchange. The earlier conversation had the user telling me about the gateway outage fixes they applied (TELEGRAM_BOT_TOKEN, TELEGRAM_ALLOWED_USERS, gateway section in config.yaml, stale PID/lock files). I attempted to save that to memory and succeeded after some cleanup.\n\nIs there a skill update warranted? Let me think about what class of task this might fall under:\n\nThe gateway outage recovery checklist is more of a reference/support file under the `hermes-agent` skill. Let me check if that skill exists and if I should add this as a reference.\n\nActually, looking more carefully at the signals:\n\n1. The outage recovery was shared by the user and I saved it to memory. That's procedural knowledge about the system. It could be a good reference under the `hermes-agent` skill.\n\n2. The current search for movies - nothing to save there.\n\nLet me load the `hermes-agent` skill to see if I should add the outage recovery as a reference.", "tool_calls": [ { "id": "call_vst7txwn", "call_id": "call_vst7txwn", "response_item_id": "fc_vst7txwn", "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### 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), `protect_last_n` (20), `hygiene_hard_message_limit` (400) |\\n| `display` | `skin`, `tool_progress`, `show_reasoning`, `show_cost` |\\n| `stt` | `enabled`, `provider` (local/groq/openai/mistral) |\\n| `tts` | `provider` (edge/elevenlabs/openai/minimax/mistral/neutts) |\\n| `memory` | `memory_enabled`, `user_profile_enabled`, `provider` |\\n| `security` | `tirith_enabled`, `website_blocklist` |\\n| `delegation` | `model`, `provider`, `base_url`, `api_key`, `max_iterations` (50), `reasoning_effort` |\\n| `checkpoints` | `enabled`, `max_snapshots` (50) |\\n\\nFull config reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration\\n\\n### Providers\\n\\n20+ providers supported. Set via `hermes model` or `hermes setup`.\\n\\n| Provider | Auth | Key env var |\\n|----------|------|-------------|\\n| OpenRouter | API key | `OPENROUTER_API_KEY` |\\n| Anthropic | API key | `ANTHROPIC_API_KEY` |\\n| Nous Portal | OAuth | `hermes auth` |\\n| OpenAI Codex | OAuth | `hermes auth` |\\n| GitHub Copilot | Token | `COPILOT_GITHUB_TOKEN` |\\n| Google Gemini | API key | `GOOGLE_API_KEY` or `GEMINI_API_KEY` |\\n| DeepSeek | API key | `DEEPSEEK_API_KEY` |\\n| xAI / Grok | API key | `XAI_API_KEY` |\\n| Hugging Face | Token | `HF_TOKEN` |\\n| Z.AI / GLM | API key | `GLM_API_KEY` |\\n| MiniMax | API key | `MINIMAX_API_KEY` |\\n| MiniMax CN | API key | `MINIMAX_CN_API_KEY` |\\n| Kimi / Moonshot | API key | `KIMI_API_KEY` |\\n| Alibaba / DashScope | API key | `DASHSCOPE_API_KEY` |\\n| Xiaomi MiMo | API key | `XIAOMI_API_KEY` |\\n| Kilo Code | API key | `KILOCODE_API_KEY` |\\n| AI Gateway (Vercel) | API key | `AI_GATEWAY_API_KEY` |\\n| OpenCode Zen | API key | `OPENCODE_ZEN_API_KEY` |\\n| OpenCode Go | API key | `OPENCODE_GO_API_KEY` |\\n| Qwen OAuth | OAuth | `hermes login --provider qwen-oauth` |\\n| Custom endpoint | Config | `model.base_url` + `model.api_key` in config.yaml |\\n| GitHub Copilot ACP | External | `COPILOT_CLI_PATH` or Copilot CLI |\\n\\nFull provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers\\n\\n### Toolsets\\n\\nEnable/disable via `hermes tools` (interactive) or `hermes tools enable/disable NAME`.\\n\\n| Toolset | What it provides |\\n|---------|-----------------|\\n| `web` | Web search and content extraction |\\n| `search` | Web search only (subset of `web`) |\\n| `browser` | Browser automation (Browserbase, Camofox, or local Chromium) |\\n| `terminal` | Shell commands and process management |\\n| `file` | File read/write/search/patch |\\n| `code_execution` | Sandboxed Python execution |\\n| `vision` | Image analysis |\\n| `image_gen` | AI image generation |\\n| `video` | Video analysis and generation |\\n| `tts` | Text-to-speech |\\n| `skills` | Skill browsing and management |\\n| `memory` | Persistent cross-session memory |\\n| `session_search` | Search past conversations |\\n| `delegation` | Subagent task delegation |\\n| `cronjob` | Scheduled task management |\\n| `clarify` | Ask user clarifying questions |\\n| `messaging` | Cross-platform message sending |\\n| `todo` | In-session task planning and tracking |\\n| `kanban` | Multi-agent work-queue tools (gated to workers) |\\n| `debugging` | Extra introspection/debug tools (off by default) |\\n| `safe` | Minimal, low-risk toolset for locked-down sessions |\\n| `spotify` | Spotify playback and playlist control |\\n| `homeassistant` | Smart home control (off by default) |\\n| `discord` | Discord integration tools |\\n| `discord_admin` | Discord admin/moderation tools |\\n| `feishu_doc` | Feishu (Lark) document tools |\\n| `feishu_drive` | Feishu (Lark) drive tools |\\n| `yuanbao` | Yuanbao integration tools |\\n| `rl` | Reinforcement learning tools (off by default) |\\n| `moa` | Mixture of Agents (off by default) |\\n\\nFull enumeration lives in `toolsets.py` as the `TOOLSETS` dict; `_HERMES_CORE_TOOLS` is the default bundle most platforms inherit from.\\n\\nTool changes take effect on `/reset` (new session). They do NOT apply mid-conversation to preserve prompt caching.\\n\\n---\\n\\n## Security & Privacy Toggles\\n\\nCommon \\\"why is Hermes doing X to my output / tool calls / commands?\\\" toggles — and the exact commands to change them. Most of these need a fresh session (`/reset` in chat, or start a new `hermes` invocation) because they're read once at startup.\\n\\n### Secret redaction in tool output\\n\\nSecret redaction is **off by default** — tool output (terminal stdout, `read_file`, web content, subagent summaries, etc.) passes through unmodified. If the user wants Hermes to auto-mask strings that look like API keys, tokens, and secrets before they enter the conversation context and logs:\\n\\n```bash\\nhermes config set security.redact_secrets true # enable globally\\n```\\n\\n**Restart required.** `security.redact_secrets` is snapshotted at import time — toggling it mid-session (e.g. via `export HERMES_REDACT_SECRETS=true` from a tool call) will NOT take effect for the running process. Tell the user to run `hermes config set security.redact_secrets true` in a terminal, then start a new session. This is deliberate — it prevents an LLM from flipping the toggle on itself mid-task.\\n\\nDisable again with:\\n```bash\\nhermes config set security.redact_secrets false\\n```\\n\\n### PII redaction in gateway messages\\n\\nSeparate from secret redaction. When enabled, the gateway hashes user IDs and strips phone numbers from the session context before it reaches the model:\\n\\n```bash\\nhermes config set privacy.redact_pii true # enable\\nhermes config set privacy.redact_pii false # disable (default)\\n```\\n\\n### Command approval prompts\\n\\nBy default (`approvals.mode: manual`), Hermes prompts the user before running shell commands flagged as destructive (`rm -rf`, `git reset --hard`, etc.). The modes are:\\n\\n- `manual` — always prompt (default)\\n- `smart` — use an auxiliary LLM to auto-approve low-risk commands, prompt on high-risk\\n- `off` — skip all approval prompts (equivalent to `--yolo`)\\n\\n```bash\\nhermes config set approvals.mode smart # recommended middle ground\\nhermes config set approvals.mode off # bypass everything (not recommended)\\n```\\n\\nPer-invocation bypass without changing config:\\n- `hermes --yolo …`\\n- `export HERMES_YOLO_MODE=1`\\n\\nNote: YOLO / `approvals.mode: off` does NOT turn off secret redaction. They are independent.\\n\\n### Shell hooks allowlist\\n\\nSome shell-hook integrations require explicit allowlisting before they fire. Managed via `~/.hermes/shell-hooks-allowlist.json` — prompted interactively the first time a hook wants to run.\\n\\n### Disabling the web/browser/image-gen tools\\n\\nTo keep the model away from network or media tools entirely, open `hermes tools` and toggle per-platform. Takes effect on next session (`/reset`). See the Tools & Skills section above.\\n\\n---\\n\\n## Voice & Transcription\\n\\n### STT (Voice → Text)\\n\\nVoice messages from messaging platforms are auto-transcribed.\\n\\nProvider priority (auto-detected):\\n1. **Local faster-whisper** — free, no API key: `pip install faster-whisper`\\n2. **Groq Whisper** — free tier: set `GROQ_API_KEY`\\n3. **OpenAI Whisper** — paid: set `VOICE_TOOLS_OPENAI_KEY`\\n4. **Mistral Voxtral** — set `MISTRAL_API_KEY`\\n\\nConfig:\\n```yaml\\nstt:\\n enabled: true\\n provider: local # local, groq, openai, mistral\\n local:\\n model: base # tiny, base, small, medium, large-v3\\n```\\n\\n### TTS (Text → Voice)\\n\\n| Provider | Env var | Free? |\\n|----------|---------|-------|\\n| Edge TTS | None | Yes (default) |\\n| ElevenLabs | `ELEVENLABS_API_KEY` | Free tier |\\n| OpenAI | `VOICE_TOOLS_OPENAI_KEY` | Paid |\\n| MiniMax | `MINIMAX_API_KEY` | Paid |\\n| Mistral (Voxtral) | `MISTRAL_API_KEY` | Paid |\\n| NeuTTS (local) | None (`pip install neutts[all]` + `espeak-ng`) | Free |\\n\\nVoice commands: `/voice on` (voice-to-voice), `/voice tts` (always voice), `/voice off`.\\n\\n---\\n\\n## Spawning Additional Hermes Instances\\n\\nRun additional Hermes processes as fully independent subprocesses — separate sessions, tools, and environments.\\n\\n### When to Use This vs delegate_task\\n\\n| | `delegate_task` | Spawning `hermes` process |\\n|-|-----------------|--------------------------|\\n| Isolation | Separate conversation, shared process | Fully independent process |\\n| Duration | Minutes (bounded by parent loop) | Hours/days |\\n| Tool access | Subset of parent's tools | Full tool access |\\n| Interactive | No | Yes (PTY mode) |\\n| Use case | Quick parallel subtasks | Long autonomous missions |\\n\\n### One-Shot Mode\\n\\n```\\nterminal(command=\\\"hermes chat -q 'Research GRPO papers and write summary to ~/research/grpo.md'\\\", timeout=300)\\n\\n# Background for long tasks:\\nterminal(command=\\\"hermes chat -q 'Set up CI/CD for ~/myapp'\\\", background=true)\\n```\\n\\n### Interactive PTY Mode (via tmux)\\n\\nHermes uses prompt_toolkit, which requires a real terminal. Use tmux for interactive spawning:\\n\\n```\\n# Start\\nterminal(command=\\\"tmux new-session -d -s agent1 -x 120 -y 40 'hermes'\\\", timeout=10)\\n\\n# Wait for startup, then send a message\\nterminal(command=\\\"sleep 8 && tmux send-keys -t agent1 'Build a FastAPI auth service' Enter\\\", timeout=15)\\n\\n# Read output\\nterminal(command=\\\"sleep 20 && tmux capture-pane -t agent1 -p\\\", timeout=5)\\n\\n# Send follow-up\\nterminal(command=\\\"tmux send-keys -t agent1 'Add rate limiting middleware' Enter\\\", timeout=5)\\n\\n# Exit\\nterminal(command=\\\"tmux send-keys -t agent1 '/exit' Enter && sleep 2 && tmux kill-session -t agent1\\\", timeout=10)\\n```\\n\\n### Multi-Agent Coordination\\n\\n```\\n# Agent A: backend\\nterminal(command=\\\"tmux new-session -d -s backend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t backend 'Build REST API for user management' Enter\\\", timeout=15)\\n\\n# Agent B: frontend\\nterminal(command=\\\"tmux new-session -d -s frontend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t frontend 'Build React dashboard for user management' Enter\\\", timeout=15)\\n\\n# Check progress, relay context between them\\nterminal(command=\\\"tmux capture-pane -t backend -p | tail -30\\\", timeout=5)\\nterminal(command=\\\"tmux send-keys -t frontend 'Here is the API schema from the backend agent: ...' Enter\\\", timeout=5)\\n```\\n\\n### Session Resume\\n\\n```\\n# Resume most recent session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --continue'\\\", timeout=10)\\n\\n# Resume specific session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --resume 20260225_143052_a1b2c3'\\\", timeout=10)\\n```\\n\\n### Tips\\n\\n- **Prefer `delegate_task` for quick subtasks** — less overhead than spawning a full process\\n- **Use `-w` (worktree mode)** when spawning agents that edit code — prevents git conflicts\\n- **Set timeouts** for one-shot mode — complex tasks can take 5-10 minutes\\n- **Use `hermes chat -q` for fire-and-forget** — no PTY needed\\n- **Use tmux for interactive sessions** — raw PTY mode has `\\\\r` vs `\\\\n` issues with prompt_toolkit\\n- **For scheduled tasks**, use the `cronjob` tool instead of spawning — handles delivery and retry\\n\\n---\\n\\n## Durable & Background Systems\\n\\nFour systems run alongside the main conversation loop. Quick reference\\nhere; full developer notes live in `AGENTS.md`, user-facing docs under\\n`website/docs/user-guide/features/`.\\n\\n### Delegation (`delegate_task`)\\n\\nSynchronous subagent spawn — the parent waits for the child's summary\\nbefore continuing its own loop. Isolated context + terminal session.\\n\\n- **Single:** `delegate_task(goal, context, toolsets)`.\\n- **Batch:** `delegate_task(tasks=[{goal, ...}, ...])` runs children in\\n parallel, capped by `delegation.max_concurrent_children` (default 3).\\n- **Roles:** `leaf` (default; cannot re-delegate) vs `orchestrator`\\n (can spawn its own workers, bounded by `delegation.max_spawn_depth`).\\n- **Not durable.** If the parent is interrupted, the child is\\n cancelled. For work that must outlive the turn, use `cronjob` or\\n `terminal(background=True, notify_on_complete=True)`.\\n\\nConfig: `delegation.*` in `config.yaml`.\\n\\n### Cron (scheduled jobs)\\n\\nDurable scheduler — `cron/jobs.py` + `cron/scheduler.py`. Drive it via\\nthe `cronjob` tool, the `hermes cron` CLI (`list`, `add`, `edit`,\\n`pause`, `resume`, `run`, `remove`), or the `/cron` slash command.\\n\\n- **Schedules:** duration (`\\\"30m\\\"`, `\\\"2h\\\"`), \\\"every\\\" phrase\\n (`\\\"every monday 9am\\\"`), 5-field cron (`\\\"0 9 * * *\\\"`), or ISO timestamp.\\n- **Per-job knobs:** `skills`, `model`/`provider` override, `script`\\n (pre-run data collection; `no_agent=True` makes the script the whole\\n job), `context_from` (chain job A's output into job B), `workdir`\\n (run in a specific dir with its `AGENTS.md` / `CLAUDE.md` loaded),\\n multi-platform delivery.\\n- **Invariants:** 3-minute hard interrupt per run, `.tick.lock` file\\n prevents duplicate ticks across processes, cron sessions pass\\n `skip_memory=True` by default, and cron deliveries are framed with a\\n header/footer instead of being mirrored into the target gateway\\n session (keeps role alternation intact).\\n\\nUser docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/cron\\n\\n### Curator (skill lifecycle)\\n\\nBackground maintenance for agent-created skills. Tracks usage, marks\\nidle skills stale, archives stale ones, keeps a pre-run tar.gz backup\\nso nothing is lost.\\n\\n- **CLI:** `hermes curator ` — `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### Credential management (`.env` writing)\\n\\nWhen `hermes` CLI is unavailable and `write_file` is blocked on credential files, writing secrets to `.env` requires terminal-based approaches. Full guide: `references/credential-management.md` — covers safe append vs. dangerous overwrite, sandbox limitations, and 401 troubleshooting.\\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### Session Recovery After Gateway Restart\\nIf the gateway restarts and `session_search` returns no results, **session data is NOT lost** — the in-memory index was cleared but the on-disk files remain.\\n\\n**Where to look:**\\n- `~/.hermes/sessions/*.jsonl` — raw session transcripts (one file per session)\\n- `~/.hermes/memories/USER.md` and `MEMORY.md` — persisted user profile and environment facts\\n- `~/.hermes/AGENTS.md` — custom operating rules\\n- `~/.hermes/work/` — any files the agent produced\\n- `~/.hermes/config.yaml` and `~/.hermes/.env` — configuration and secrets\\n\\n**Recovery steps:**\\n1. Read the memories: `~/.hermes/memories/USER.md` and `MEMORY.md`\\n2. List recent session files: `ls -lt ~/.hermes/sessions/*.jsonl | head -20`\\n3. Read key session transcripts directly (JSONL format, one message per line)\\n4. Check `~/.hermes/work/` for any deliverables from past sessions\\n\\n**Important:** The gateway restart itself does NOT delete anything. The `sessions.json` index may take a moment to rebuild, but the `.jsonl` files are present immediately. If `session_search` is empty, always fall back to direct filesystem inspection.\\n\\n**Critical pitfall — session_search default limit:**\\n`session_search` without arguments may return only 1 result. After a gateway restart the index is empty, so even recent sessions appear lost. Always pass `limit=5` (or higher) and use `query=\\\"*\\\"` to force a broad scan when recovering. Example:\\n```python\\nsession_search(limit=5, query=\\\"*\\\")\\n```\\nIf this still returns nothing, bypass the index entirely and read the `.jsonl` files directly from disk.\\n\\n### Honcho Memory Plugin — Reality Check\\nHoncho is listed as an installed plugin but the CLI subcommand `hermes honcho` does **not exist** in all Hermes builds. The Python library (`honcho`) may be present in the venv while the CLI integration is missing.\\n\\n**What actually works:**\\n1. Set provider: `hermes config set memory.provider honcho`\\n2. Verify with `hermes memory status` — look for `Provider: honcho`\\n3. The plugin status line will say `Status: not available` if the Honcho server (cloud or local Docker) is not reachable.\\n\\n**Local (no API key) is NOT automatic:**\\nHoncho requires either a cloud API key (`HONCHO_API_KEY`) or a self-hosted Docker/Postgres instance. There is no \\\"just use SQLite locally\\\" zero-setup mode. If the user wants 100 % offline memory without cloud accounts, the built-in memory system is the practical choice.\\n\\n**Do not promise Honcho setup works without verifying the CLI subcommand exists first.** Check with `hermes honcho status` — if the command is not found, the integration is incomplete and needs manual Python-level setup or a plugin update.\\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\\nFull step-by-step setup for dedicated auxiliary models (recommended for custom providers like Ollama): see `references/auxiliary-model-setup.md` — covers model selection, required context windows, and the exact YAML block to paste.\\n\\nContext compression tuning (threshold, target_ratio, local vs cloud models): see `references/compression-tuning.md`.\\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\": \"/DATA/.hermes/skills/autonomous-ai-agents/hermes-agent\", \"linked_files\": {\"references\": [\"references/session-recovery.md\", \"references/auxiliary-model-setup.md\", \"references/zimaos-hermes-setup.md\", \"references/compression-tuning.md\", \"references/credential-management.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_vst7txwn" }, { "role": "assistant", "content": "Good analysis. One clear signal from this session: the **gateway outage recovery checklist** (the 4 things Chef fixed to get me running again). That's a concrete, reusable troubleshooting workflow and it belongs as a reference under the `hermes-agent` skill, not just in memory.\n\nPlan:\n1. Create `references/gateway-outage-recovery.md` with the detailed checklist\n2. Patch the SKILL.md Troubleshooting → Gateway issues to add a pointer", "reasoning": "The user wants me to review the conversation and update the skill library. Let me analyze what happened in this session:\n\n1. **Session started** with the user telling me I was broken since last night and they fixed 4 things:\n - TELEGRAM_BOT_TOKEN missing from /DATA/.hermes/.env\n - TELEGRAM_ALLOWED_USERS missing from /DATA/.hermes/.env\n - gateway section missing from /DATA/AppData/hermes/config.yaml\n - Stale PID/lock files blocking start\n\n2. I tried to save this as a memory entry but hit the memory cap. Cleared some space and saved it.\n\n3. User asked (via voice) to check for new movies with titles not in other posts.\n\n4. I searched sessions and files — found nothing relevant.\n\n5. User asked me to review and update the skill library.\n\nNow, the signals to look for:\n\n- **User corrected workflow/approach?** Not really — the user told me what THEY fixed. No correction of my behavior.\n- **Non-trivial technique/fix/workaround that emerged?** YES — the gateway outage recovery checklist. Four specific things that needed fixing when the gateway stopped working. This is exactly the kind of thing that should be a reference in the `hermes-agent` skill.\n- **Skill loaded that was wrong/outdated?** I didn't load any skills this session (no need for the movie search — found nothing). The `hermes-agent` skill DOES exist and has a Troubleshooting section. Let me check if the gateway outage checklist fits there.\n\nLooking at the `hermes-agent` skill, under Troubleshooting → Gateway issues, there's stuff about gateway dying on SSH logout, WSL2 issues, crash loop, but NOT a checklist for \"gateway won't start and these 4 things are commonly the issue.\"\n\nThis is a clear case for option 1: **UPDATE THE CURRENTLY-LOADED SKILL**. Wait — I didn't actually load it in this conversation with `skill_view`. But the user is asking me to review the conversation and update the skill library. The `hermes-agent` skill is the one that covers gateway troubleshooting.\n\nActually, let me re-read the instructions. It says \"Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view.\" I did use `skill_view` to read the hermes-agent skill just now (for the review). So it IS loaded.\n\nNow, should I:\n1. Add a gateway-outage recovery checklist as a new reference file (`references/gateway-outage-recovery.md`)\n2. Patch the SKILL.md to add a pointer and a brief note in the Troubleshooting section\n\nYes, this is option 3 + option 1 combined: add a reference file and patch the SKILL.md.\n\nThe memory entry I saved is good for my own awareness, but the recovery procedure belongs as a skill reference so future sessions know what to fix.\n\nLet me create `references/gateway-outage-recovery.md` with the checklist and patch the Troubleshooting section in SKILL.md.\n\nAlso, looking at the memory situation: the memory is at 93% and I had to delete an entry to make room. That's not a skill issue per se — it's an operational constraint. But I saved the gateway recovery checklist to memory AND now I'll save it as a skill reference. The memory entry can eventually be pruned since the skill reference is more durable.\n\nLet me:\n\n1. Create `references/gateway-outage-recovery.md` via skill_manage write_file\n2. Patch the SKILL.md Troubleshooting → Gateway issues section to add a pointer to the new reference\n\nLet me draft the reference file:\n\n```markdown\n# Gateway Outage Recovery Checklist\n\nWhen the Hermes gateway won't start or suddenly stops responding (Telegram bot silent, no messages going through), check these four things in order. These were all discovered during a real outage on 2026-05-15 on ZimaOS.\n\n## 1. TELEGRAM_BOT_TOKEN in .env\n\n**File:** `/DATA/.hermes/.env`\n\n```\nTELEGRAM_BOT_TOKEN=your_bot_token_here\n```\n\nWithout this, the Telegram platform adapter cannot authenticate to Telegram's API.\n\n## 2. TELEGRAM_ALLOWED_USERS in .env\n\n**File:** `/DATA/.hermes/.env`\n\n```\nTELEGRAM_ALLOWED_USERS=user_id_1,user_id_2\n```\n\nWithout this, the gateway receives messages but won't know who to respond to. Get user IDs from `@userinfobot` on Telegram.\n\n## 3. Gateway section in config.yaml\n\n**File:** `/DATA/AppData/hermes/config.yaml`\n\nEnsure the `gateway` section exists with at least the platform enabled:\n\n```yaml\ngateway:\n platforms:\n telegram:\n enabled: true\n```\n\nIf the entire `gateway` section is missing, the gateway process won't know what platforms to start.\n\n## 4. Stale PID/lock files\n\nLook for stale process and lock files in the Hermes data directory:\n\n```bash\nls -la /DATA/AppData/hermes/*.pid /DATA/AppData/hermes/*.lock 2>/dev/null\n```\n\nRemove any that exist if the gateway is not currently running:\n\n```bash\nrm -f /DATA/AppData/hermes/*.pid /DATA/AppData/hermes/*.lock\n```\n\nThese files prevent a new gateway process from starting because they signal that an instance is already running.\n\n## Recovery Commands\n\nAfter fixing all four:\n\n```bash\n# On ZimaOS / systemd-based systems:\nsystemctl --user restart hermes-gateway\n\n# Check status:\nsystemctl --user status hermes-gateway\n\n# Check logs:\ntail -50 ~/.hermes/logs/gateway.log\n```\n\n## Prevention\n\n- Never delete or move `/DATA/.hermes/.env` without backing up first\n- When editing `config.yaml`, be careful not to accidentally remove the `gateway` section\n- After a hard shutdown or crash, always check for stale PID/lock files\n```\n\nNow patch the SKILL.md Troubleshooting section. I need to find the right spot.\n\nThe Gateway issues subsection currently reads:\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\nI should add a bullet point about the gateway not starting at all:\n```\n- **Gateway won't start / sudden silence**: Run through the [gateway outage recovery checklist](references/gateway-outage-recovery.md) — covers missing env vars, missing gateway config section, and stale PID/lock files.\n```\n\nLet me also check if I should do anything about the memory cap issue. The fact that memory hit 93% and I had to delete entries to add new ones is an operational constraint. But the user didn't complain about it, and I handled it. Not worth a skill update.\n\nActually, wait — the user's voice message was asking about movies, and I found nothing. There's nothing to save there.\n\nLet me also check if there's anything about the voice message transcription. The user sent a voice message that was transcribed. The system says \"The user sent a voice message~ Here's what they said:\" — that's the built-in STT. Nothing to save about that.\n\nOK so my plan is:\n1. Create `references/gateway-outage-recovery.md`\n2. Patch SKILL.md to add the bullet point\n\nLet me execute.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to review the conversation and update the skill library. Let me analyze what happened in this session:\n\n1. **Session started** with the user telling me I was broken since last night and they fixed 4 things:\n - TELEGRAM_BOT_TOKEN missing from /DATA/.hermes/.env\n - TELEGRAM_ALLOWED_USERS missing from /DATA/.hermes/.env\n - gateway section missing from /DATA/AppData/hermes/config.yaml\n - Stale PID/lock files blocking start\n\n2. I tried to save this as a memory entry but hit the memory cap. Cleared some space and saved it.\n\n3. User asked (via voice) to check for new movies with titles not in other posts.\n\n4. I searched sessions and files — found nothing relevant.\n\n5. User asked me to review and update the skill library.\n\nNow, the signals to look for:\n\n- **User corrected workflow/approach?** Not really — the user told me what THEY fixed. No correction of my behavior.\n- **Non-trivial technique/fix/workaround that emerged?** YES — the gateway outage recovery checklist. Four specific things that needed fixing when the gateway stopped working. This is exactly the kind of thing that should be a reference in the `hermes-agent` skill.\n- **Skill loaded that was wrong/outdated?** I didn't load any skills this session (no need for the movie search — found nothing). The `hermes-agent` skill DOES exist and has a Troubleshooting section. Let me check if the gateway outage checklist fits there.\n\nLooking at the `hermes-agent` skill, under Troubleshooting → Gateway issues, there's stuff about gateway dying on SSH logout, WSL2 issues, crash loop, but NOT a checklist for \"gateway won't start and these 4 things are commonly the issue.\"\n\nThis is a clear case for option 1: **UPDATE THE CURRENTLY-LOADED SKILL**. Wait — I didn't actually load it in this conversation with `skill_view`. But the user is asking me to review the conversation and update the skill library. The `hermes-agent` skill is the one that covers gateway troubleshooting.\n\nActually, let me re-read the instructions. It says \"Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view.\" I did use `skill_view` to read the hermes-agent skill just now (for the review). So it IS loaded.\n\nNow, should I:\n1. Add a gateway-outage recovery checklist as a new reference file (`references/gateway-outage-recovery.md`)\n2. Patch the SKILL.md to add a pointer and a brief note in the Troubleshooting section\n\nYes, this is option 3 + option 1 combined: add a reference file and patch the SKILL.md.\n\nThe memory entry I saved is good for my own awareness, but the recovery procedure belongs as a skill reference so future sessions know what to fix.\n\nLet me create `references/gateway-outage-recovery.md` with the checklist and patch the Troubleshooting section in SKILL.md.\n\nAlso, looking at the memory situation: the memory is at 93% and I had to delete an entry to make room. That's not a skill issue per se — it's an operational constraint. But I saved the gateway recovery checklist to memory AND now I'll save it as a skill reference. The memory entry can eventually be pruned since the skill reference is more durable.\n\nLet me:\n\n1. Create `references/gateway-outage-recovery.md` via skill_manage write_file\n2. Patch the SKILL.md Troubleshooting → Gateway issues section to add a pointer to the new reference\n\nLet me draft the reference file:\n\n```markdown\n# Gateway Outage Recovery Checklist\n\nWhen the Hermes gateway won't start or suddenly stops responding (Telegram bot silent, no messages going through), check these four things in order. These were all discovered during a real outage on 2026-05-15 on ZimaOS.\n\n## 1. TELEGRAM_BOT_TOKEN in .env\n\n**File:** `/DATA/.hermes/.env`\n\n```\nTELEGRAM_BOT_TOKEN=your_bot_token_here\n```\n\nWithout this, the Telegram platform adapter cannot authenticate to Telegram's API.\n\n## 2. TELEGRAM_ALLOWED_USERS in .env\n\n**File:** `/DATA/.hermes/.env`\n\n```\nTELEGRAM_ALLOWED_USERS=user_id_1,user_id_2\n```\n\nWithout this, the gateway receives messages but won't know who to respond to. Get user IDs from `@userinfobot` on Telegram.\n\n## 3. Gateway section in config.yaml\n\n**File:** `/DATA/AppData/hermes/config.yaml`\n\nEnsure the `gateway` section exists with at least the platform enabled:\n\n```yaml\ngateway:\n platforms:\n telegram:\n enabled: true\n```\n\nIf the entire `gateway` section is missing, the gateway process won't know what platforms to start.\n\n## 4. Stale PID/lock files\n\nLook for stale process and lock files in the Hermes data directory:\n\n```bash\nls -la /DATA/AppData/hermes/*.pid /DATA/AppData/hermes/*.lock 2>/dev/null\n```\n\nRemove any that exist if the gateway is not currently running:\n\n```bash\nrm -f /DATA/AppData/hermes/*.pid /DATA/AppData/hermes/*.lock\n```\n\nThese files prevent a new gateway process from starting because they signal that an instance is already running.\n\n## Recovery Commands\n\nAfter fixing all four:\n\n```bash\n# On ZimaOS / systemd-based systems:\nsystemctl --user restart hermes-gateway\n\n# Check status:\nsystemctl --user status hermes-gateway\n\n# Check logs:\ntail -50 ~/.hermes/logs/gateway.log\n```\n\n## Prevention\n\n- Never delete or move `/DATA/.hermes/.env` without backing up first\n- When editing `config.yaml`, be careful not to accidentally remove the `gateway` section\n- After a hard shutdown or crash, always check for stale PID/lock files\n```\n\nNow patch the SKILL.md Troubleshooting section. I need to find the right spot.\n\nThe Gateway issues subsection currently reads:\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\nI should add a bullet point about the gateway not starting at all:\n```\n- **Gateway won't start / sudden silence**: Run through the [gateway outage recovery checklist](references/gateway-outage-recovery.md) — covers missing env vars, missing gateway config section, and stale PID/lock files.\n```\n\nLet me also check if I should do anything about the memory cap issue. The fact that memory hit 93% and I had to delete entries to add new ones is an operational constraint. But the user didn't complain about it, and I handled it. Not worth a skill update.\n\nActually, wait — the user's voice message was asking about movies, and I found nothing. There's nothing to save there.\n\nLet me also check if there's anything about the voice message transcription. The user sent a voice message that was transcribed. The system says \"The user sent a voice message~ Here's what they said:\" — that's the built-in STT. Nothing to save about that.\n\nOK so my plan is:\n1. Create `references/gateway-outage-recovery.md`\n2. Patch SKILL.md to add the bullet point\n\nLet me execute.", "tool_calls": [ { "id": "call_13t3pnil", "call_id": "call_13t3pnil", "response_item_id": "fc_13t3pnil", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"write_file\",\"file_content\":\"# Gateway Outage Recovery Checklist\\n\\nWhen the Hermes gateway won't start or suddenly stops responding (Telegram bot silent, no messages going through), check these four things in order. These were all discovered during a real outage on ZimaOS (2026-05-15).\\n\\n## 1. TELEGRAM_BOT_TOKEN in .env\\n\\n**File:** `/DATA/.hermes/.env`\\n\\n```\\nTELEGRAM_BOT_TOKEN=your_bot_token_here\\n```\\n\\nWithout this, the Telegram platform adapter cannot authenticate to Telegram's API.\\n\\n## 2. TELEGRAM_ALLOWED_USERS in .env\\n\\n**File:** `/DATA/.hermes/.env`\\n\\n```\\nTELEGRAM_ALLOWED_USERS=user_id_1,user_id_2\\n```\\n\\nWithout this, the gateway receives messages but won't know who to respond to. Get user IDs from `@userinfobot` on Telegram.\\n\\n## 3. Gateway section in config.yaml\\n\\n**File:** `/DATA/AppData/hermes/config.yaml`\\n\\nEnsure the `gateway` section exists with at least the platform enabled:\\n\\n```yaml\\ngateway:\\n platforms:\\n telegram:\\n enabled: true\\n```\\n\\nIf the entire `gateway` section is missing, the gateway process won't know what platforms to start.\\n\\n## 4. Stale PID/lock files\\n\\nLook for stale process and lock files in the Hermes data directory:\\n\\n```bash\\nls -la /DATA/AppData/hermes/*.pid /DATA/AppData/hermes/*.lock 2\\u003e/dev/null\\n```\\n\\nRemove any that exist if the gateway is not currently running:\\n\\n```bash\\nrm -f /DATA/AppData/hermes/*.pid /DATA/AppData/hermes/*.lock\\n```\\n\\nThese files prevent a new gateway process from starting because they signal that an instance is already running.\\n\\n## Recovery Commands\\n\\nAfter fixing all four:\\n\\n```bash\\n# On ZimaOS / systemd-based systems:\\nsystemctl --user restart hermes-gateway\\n\\n# Check status:\\nsystemctl --user status hermes-gateway\\n\\n# Check logs:\\ntail -50 ~/.hermes/logs/gateway.log\\n```\\n\\n## Prevention\\n\\n- Never delete or move `/DATA/.hermes/.env` without backing up first\\n- When editing `config.yaml`, be careful not to accidentally remove the `gateway` section\\n- After a hard shutdown or crash, always check for stale PID/lock files\\n\",\"file_path\":\"references/gateway-outage-recovery.md\",\"name\":\"hermes-agent\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"File 'references/gateway-outage-recovery.md' written to skill 'hermes-agent'.\", \"path\": \"/DATA/.hermes/skills/autonomous-ai-agents/hermes-agent/references/gateway-outage-recovery.md\"}", "tool_call_id": "call_13t3pnil" }, { "role": "assistant", "content": "Now patch the SKILL.md to add a pointer in the Gateway issues section:", "reasoning": "The reference file is created. Now I need to patch the SKILL.md to add a pointer to this new reference in the Gateway issues troubleshooting section.", "finish_reason": "tool_calls", "reasoning_content": "The reference file is created. Now I need to patch the SKILL.md to add a pointer to this new reference in the Gateway issues troubleshooting section.", "tool_calls": [ { "id": "call_ok505szd", "call_id": "call_ok505szd", "response_item_id": "fc_ok505szd", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"hermes-agent\",\"old_string\":\"Common gateway problems:\\n- **Gateway dies on SSH logout**: Enable linger: `sudo loginctl enable-linger $USER`\",\"new_string\":\"**Gateway completely dead / won't start?** See `references/gateway-outage-recovery.md` — 4-item checklist covering .env vars, config.yaml gateway section, and stale PID/lock cleanup.\\n\\nCommon gateway problems:\\n- **Gateway dies on SSH logout**: Enable linger: `sudo loginctl enable-linger $USER`\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'hermes-agent' (1 replacement).\"}", "tool_call_id": "call_ok505szd" }, { "role": "assistant", "content": "Done. Added `references/gateway-outage-recovery.md` under the `hermes-agent` skill with the full 4-item checklist, and patched the Troubleshooting → Gateway issues section to link to it.\n\nThat's the only actionable signal from this session — it was too short for anything else. Nothing more to save.", "reasoning": "This session was very short — just a greeting, Chef telling me about the outage he fixed, and me saving the recovery checklist. No other corrections or techniques emerged.\n\nLet me review for any other signals:\n- No user corrections to my style, tone, or format\n- No workflow corrections\n- No new techniques beyond what I already saved\n- The `hermes-agent` skill was the only one in play and I've already patched it\n\nThe session is too short for anything else. \"Nothing more to save\" is the honest answer here.", "finish_reason": "stop", "reasoning_content": "This session was very short — just a greeting, Chef telling me about the outage he fixed, and me saving the recovery checklist. No other corrections or techniques emerged.\n\nLet me review for any other signals:\n- No user corrections to my style, tone, or format\n- No workflow corrections\n- No new techniques beyond what I already saved\n- The `hermes-agent` skill was the only one in play and I've already patched it\n\nThe session is too short for anything else. \"Nothing more to save\" is the honest answer here." } ] }