{
"session_id": "cron_0968c1c5dec3_20260603_200016",
"model": "deepseek-v4-pro",
"base_url": "https://ollama.com/v1",
"platform": "cron",
"session_start": "2026-06-03T20:00:16.227574",
"last_updated": "2026-06-03T20:00:39.338218",
"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. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n - zimaos-administration: ZimaOS server administration — SSH, storage paths, system...\n - zimaos-camofox-browser: Camofox-Browser als persistenten Docker-Dienst auf ZimaOS...\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 maker-electronics:\n - esp32-desk-dashboard: ESP32-basierte Desk-Dashboards mit AMOLED, LVGL und BLE. ...\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 - ebook-management: EPUB/PDF ebook metadata, cover retrieval and embedding. F...\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vaul...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - mnemo-access: Direkter Zugriff auf Mnemo (Cartographer's Zettelkasten) ...\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 - academic-research: Research professors, extract/publications, analyze resear...\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 - home-assistant: Inspect, manage, and troubleshoot Home Assistant (Docker ...\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 - reddit: Read Reddit posts, comments, and subreddits via JSON API ...\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Wednesday, June 03, 2026 08:00 PM\nModel: deepseek-v4-pro\nProvider: custom\n\nYou are running as a scheduled cron job. There is no user present — you cannot ask questions, request clarification, or wait for follow-up. Execute the task fully and autonomously, making reasonable decisions where needed. Your final response is automatically delivered to the job's configured destination — put the primary content directly in your response.",
"tools": [
{
"type": "function",
"function": {
"name": "delegate_task",
"description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to delegation.max_concurrent_children items (default 3, configurable via config.yaml, no hard ceiling). All run concurrently and results are returned together. Nested delegation requires role='orchestrator' and delegation.max_spawn_depth >= 2.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by delegation.max_spawn_depth (default 2) and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
"parameters": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
},
"context": {
"type": "string",
"description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
},
"tasks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "Task goal"
},
"context": {
"type": "string",
"description": "Task-specific context"
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets for this specific task. Available: 'browser', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'vision', 'web', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
},
"acp_command": {
"type": "string",
"description": "Per-task ACP command override (e.g. 'claude'). Overrides the top-level acp_command for this task only."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Per-task ACP args override."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Per-task role override. See top-level 'role' for semantics."
}
},
"required": [
"goal"
]
},
"description": "Batch mode: tasks to run in parallel (limit configurable via delegation.max_concurrent_children, default 3). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Requires delegation.max_spawn_depth >= 2 in config; ignored (treated as 'leaf') when the child would exceed max_spawn_depth or when delegation.orchestrator_enabled=false."
},
"acp_command": {
"type": "string",
"description": "Override ACP command for child agents (e.g. 'claude', 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Enables spawning Claude Code (claude --acp --stdio) or other ACP-capable agents from any parent, including Discord/Telegram/CLI."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Example: ['--acp', '--stdio', '--model', 'claude-opus-4-6']"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "execute_code",
"description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
}
},
"required": [
"code"
]
}
}
},
{
"type": "function",
"function": {
"name": "memory",
"description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"add",
"replace",
"remove"
],
"description": "The action to perform."
},
"target": {
"type": "string",
"enum": [
"memory",
"user"
],
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
},
"content": {
"type": "string",
"description": "The entry content. Required for 'add' and 'replace'."
},
"old_text": {
"type": "string",
"description": "Short unique substring identifying the entry to replace or remove."
}
},
"required": [
"action",
"target"
]
}
}
},
{
"type": "function",
"function": {
"name": "patch",
"description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique string and replace it.\nPatch mode: apply V4A multi-file patches for bulk changes.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode: 'replace' for targeted find-and-replace, 'patch' for V4A multi-file patches",
"default": "replace"
},
"path": {
"type": "string",
"description": "File path to edit (required for 'replace' mode)"
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'replace' mode). Must be unique in the file unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'replace' mode). Can be empty string to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "Replace all occurrences instead of requiring a unique match (default: false)",
"default": false
},
"patch": {
"type": "string",
"description": "V4A format patch content (required for 'patch' mode). Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
}
},
"required": [
"mode"
]
}
}
},
{
"type": "function",
"function": {
"name": "process",
"description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"list",
"poll",
"log",
"wait",
"kill",
"write",
"submit",
"close"
],
"description": "Action to perform on background processes"
},
"session_id": {
"type": "string",
"description": "Process session ID (from terminal background output). Required for all actions except 'list'."
},
"data": {
"type": "string",
"description": "Text to send to process stdin (for 'write' and 'submit' actions)"
},
"timeout": {
"type": "integer",
"description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
"minimum": 1
},
"offset": {
"type": "integer",
"description": "Line offset for 'log' action (default: last 200 lines)"
},
"limit": {
"type": "integer",
"description": "Max lines to return for 'log' action",
"minimum": 1
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to read (absolute, relative, or ~/path)"
},
"offset": {
"type": "integer",
"description": "Line number to start reading from (1-indexed, default: 1)",
"default": 1,
"minimum": 1
},
"limit": {
"type": "integer",
"description": "Maximum number of lines to read (default: 500, max: 2000)",
"default": 500,
"maximum": 2000
}
},
"required": [
"path"
]
}
}
},
{
"type": "function",
"function": {
"name": "search_files",
"description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
"parameters": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
},
"target": {
"type": "string",
"enum": [
"content",
"files"
],
"description": "'content' searches inside file contents, 'files' searches for files by name",
"default": "content"
},
"path": {
"type": "string",
"description": "Directory or file to search in (default: current working directory)",
"default": "."
},
"file_glob": {
"type": "string",
"description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return (default: 50)",
"default": 50
},
"offset": {
"type": "integer",
"description": "Skip first N results for pagination (default: 0)",
"default": 0
},
"output_mode": {
"type": "string",
"enum": [
"content",
"files_only",
"count"
],
"description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
"default": "content"
},
"context": {
"type": "integer",
"description": "Number of context lines before and after each match (grep mode only)",
"default": 0
}
},
"required": [
"pattern"
]
}
}
},
{
"type": "function",
"function": {
"name": "session_search",
"description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
},
"role_filter": {
"type": "string",
"description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
},
"limit": {
"type": "integer",
"description": "Max sessions to summarize (default: 3, max: 5).",
"default": 3
}
}
}
}
},
{
"type": "function",
"function": {
"name": "skill_manage",
"description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"create",
"patch",
"edit",
"delete",
"write_file",
"remove_file"
],
"description": "The action to perform."
},
"name": {
"type": "string",
"description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
},
"content": {
"type": "string",
"description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
},
"category": {
"type": "string",
"description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
},
"file_path": {
"type": "string",
"description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
},
"file_content": {
"type": "string",
"description": "Content for the file. Required for 'write_file'."
},
"absorbed_into": {
"type": "string",
"description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
}
},
"required": [
"action",
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skill_view",
"description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
},
"file_path": {
"type": "string",
"description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
}
},
"required": [
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skills_list",
"description": "List available skills (name + description). Use skill_view(name) to load full content.",
"parameters": {
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter to narrow results"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "terminal",
"description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
"parameters": {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "The command to execute on the VM"
},
"background": {
"type": "boolean",
"description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
"default": false
},
"timeout": {
"type": "integer",
"description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
"minimum": 1
},
"workdir": {
"type": "string",
"description": "Working directory for this command (absolute path). Defaults to the session working directory."
},
"pty": {
"type": "boolean",
"description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
"default": false
},
"notify_on_complete": {
"type": "boolean",
"description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
"default": false
},
"watch_patterns": {
"type": "array",
"items": {
"type": "string"
},
"description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
}
},
"required": [
"command"
]
}
}
},
{
"type": "function",
"function": {
"name": "text_to_speech",
"description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
},
"output_path": {
"type": "string",
"description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3"
}
},
"required": [
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "todo",
"description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
"parameters": {
"type": "object",
"properties": {
"todos": {
"type": "array",
"description": "Task items to write. Omit to read current list.",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Unique item identifier"
},
"content": {
"type": "string",
"description": "Task description"
},
"status": {
"type": "string",
"enum": [
"pending",
"in_progress",
"completed",
"cancelled"
],
"description": "Current status"
}
},
"required": [
"id",
"content",
"status"
]
}
},
"merge": {
"type": "boolean",
"description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "vision_analyze",
"description": "Inspect an image from a URL, file path, or tool output when you need closer detail than what's visible in the conversation. If the user's image is already attached to the conversation and you can see it, just answer directly — only call this tool for images referenced by URL/path, images returned inside other tool results (browser screenshots, search thumbnails), or when you need a deeper look at a specific region the main model's vision may have missed.",
"parameters": {
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Image URL (http/https) or local file path to analyze."
},
"question": {
"type": "string",
"description": "Your specific question or request about the image to resolve. The AI will automatically provide a complete image description AND answer your specific question."
}
},
"required": [
"image_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 5,
"messages": [
{
"role": "user",
"content": "[IMPORTANT: The user has invoked the \"daily-dose\" skill, indicating they want you to follow its instructions. The full skill content is loaded below.]\n\n---\nname: daily-dose\ndescription: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Kategorien, Defaults, Server-Daten. Der Tracker von Zeyd unter /media/HDD_1TB/DailyDose/.\n---\n\n# DailyDose — Täglicher Aktivitäten-Tracker\n\nDailyDose ist eine PWA (Progressive Web App), die Zeyds tägliche Aktivitäten trackt. Läuft lokal mit Server-Sync.\n\n## Architektur\n\n- **Pfad:** `/media/HDD_1TB/DailyDose/`\n- **Dateien:** `index.html` (komplette App in einer Datei), `manifest.json`, `icon.svg`, `icon.png`, `nginx.conf`\n- **Speicher:** localStorage im Browser, synchronisiert über HTTP-API mit Server\n- **API:** `http://localhost:8765/api/data` — GET liest alle Daten, POST schreibt Key-Value-Paare\n- **Storage-Keys:** `dailydose_YYYY-MM-DD` für Tageseinträge, `dd_custom_cats` für Custom-Kategorien\n\n## Kategorien\n\n### Built-in (in `BUILT_IN_CATS` Array, Zeile ~878)\nSchlafen, Lernen, Work, Hausarbeit, Kochen, Islam, Sport, Unterwegs, Körperpflege, Sonstiges\n\n### Custom\nIn `dd_custom_cats` auf dem Server gespeichert. **Custom-Kategorien überschreiben Built-ins** (Name-Match). Werden in `buildCategoryMaps()` nach den Built-ins geladen und überschreiben deren `COLORS`/`ICONS`.\n\n## Tägliche Defaults (`getDefaults()`)\n\nDefiniert, welche Aktivitäten für einen neuen Tag vorausgefüllt werden. Aktuelle Defaults (Zeile ~1031):\n- **Islam:** 15 min täglich, 45 min freitags\n- **Körperpflege:** 30 min täglich\n- **Unterwegs:** 1h Montag + Dienstag\n\nDefaults greifen NUR, wenn für den Tag noch KEINE Daten im localStorage existieren. Sobald ein Tag gespeichert wurde, werden die gespeicherten Daten verwendet.\n\n## Änderungen vornehmen\n\n### Neue Kategorie hinzufügen\n1. In `index.html` das `BUILT_IN_CATS` Array patchen — neuen Eintrag mit `value`, `icon`, `color` einfügen\n2. Default in `getDefaults()` eintragen, falls gewünscht\n3. **Server-Daten prüfen:** Falls bereits eine Custom-Kategorie mit gleichem Namen existiert, diese löschen oder anpassen, da sie sonst das Built-in überschreibt\n\n### Default-Wert ändern\nIn `getDefaults()` patchen. Greift erst für zukünftige, noch nicht gespeicherte Tage.\n\n### Heutigen Tag direkt korrigieren\nWenn heute schon Daten existieren, müssen sie direkt via API gepatcht werden:\n```bash\n# Heutige Einträge lesen\ncurl -s http://localhost:8765/api/data | python3 -c \"import json,sys; ...\"\n\n# Einträge patchen und zurückschreiben\ncurl -s -X POST http://localhost:8765/api/data \\\n -H 'Content-Type: application/json' \\\n -d '{\"dailydose_YYYY-MM-DD\":\"[{\\\"category\\\":\\\"...\\\",\\\"hours\\\":0.5}]\"}'\n```\n\n## Automatische Erinnerungen per Cron-Job\n\nDailyDose-Einträge werden schnell vergessen. Setze automatische Erinnerungen über den `cronjob`-Agenten, damit Zeyd (\"Chef\") regelmäßig an das Tracking erinnert wird.\n\n### Morgenbriefing (09:30)\n\nDas tägliche Morgenbriefing kombiniert Kalender (Google), CallKeep (Telefonhistorie), DailyDose (Tracking) und Wetter zu einem persönlichen Tagesüberblick. Die vollständige Prompt-Vorlage mit Struktur, Stilregeln und Beispielen steht in **`references/morgenbriefing-template.md`** — bei Verbesserungen am Cronjob diese Datei konsultieren und ggf. aktualisieren.\n\n### Prompt-Stil für Erinnerungen\n\n- **Sprache:** Deutsch\n- **Ton:** Freundlich, motivierend, nicht nervig\n- **Länge:** 1-2 Sätze, kurz\n- **Tageszeit-Anpassung:** Morgens energisch/optimistisch, nachmittags sachlich/freundlich, abends entspannt\n- **Abwechslung:** Die Formulierung jedes Mal leicht variieren, damit es nicht monoton wirkt\n- **Emojis:** Gelegentlich ein passendes Emoji (nicht inflationär)\n- **Anrede:** \"Chef\"\n\n### Beispiele\n\n```\n🌅 Guten Morgen Chef! Zeit für deine DailyDose — was hast du heute vor?\n☀️ DailyDose-Check! Nicht vergessen, deine Aktivitäten einzutragen.\n🌙 Abend-Check! Noch schnell die DailyDose für heute ausfüllen, Chef?\n```\n\n### Scheduling\n\n- Tägliche Erinnerungen: `0 9,16,22 * * *` (dreimal am Tag)\n- Goal-Tracking: `*/15 * * * *` (alle 15 Minuten) für motivationsgetriebene Lern-/Ziel-Checks\n- `repeat: -1` für wiederkehrende Jobs\n- `deliver: origin` für Telegram-Zustellung\n\n### Wichtig\n\n- Cron-Job-Prompts müssen **selbsterklärend** sein — der erinnernde Agent läuft unabhängig und hat keinen Gesprächskontext\n- Nicht zu oft auf \"wir\" oder \"uns\" Bezug nehmen — die Nachricht soll natürlich wirken\n\n### Goal-Based Motivation Cron Jobs (Lernziel-Tracking)\n\nWenn Chef ein Tagesziel für eine bestimmte Kategorie hat (z.B. \"120 Minuten Lernen → Kopfhörer bestellen\"), kann ein Cron-Job alle 15 Minuten den Fortschritt checken und motivierend melden.\n\n**Pattern:**\n1. Python-Script schreiben, das die DailyDose-API abfragt, die Ziel-Kategorie summiert und Fortschritt/Erfolg ausgibt (siehe `scripts/dailydose_learn_check.py`)\n2. Script nach `~/.hermes/scripts/` kopieren (Cron-Job-Tool erwartet Pfad relativ zu `~/.hermes/scripts/`)\n3. Cron-Job mit `schedule: \"*/15 * * * *\"`, `no_agent: true`, `script: dailydose_learn_check.py` anlegen\n4. Job pausieren/löschen, sobald Ziel erreicht ist\n\n**Script-Logik:**\n- TARGET_MINUTES definieren\n- Heutigen Key `dailydose_YYYY-MM-DD` aus der API lesen\n- Stunden der Ziel-Kategorie summieren, in Minuten umrechnen\n- Drei Ausgaben: Ziel erreicht (🎉), in Progress (📚 mit Prozent), noch nichts (Motivation zum Starten)\n\n## Motivation/Erinnerungen\n\nWenn der Chef einen Motivations-Workflow will (z.B. \"Sag mir alle 15 Minuten wie viel ich gelernt habe, bis Ziel erreicht\"), **nicht** direkt einen `no_agent`-Cronjob mit statischem Script bauen. Die Nachrichten wirken mechanisch und frustrieren. Besser:\n\n1. **Cronjob mit Agent:** `no_agent: false` — der Agent kriegt dann Kontext (DailyDose-Check als Prompt) und kann natürlich, variabel und motivierend antworten.\n2. **Oder manuell:** Chef fragt selbst nach Stand, Kiwi checkt dann live. Weniger nervig.\n\nVorher mit Chef klären, ob automatisierte Reminder überhaupt erwünscht sind.\n\n**Manueller Check per Script:** `scripts/learn_check.py` — gibt Motivations-Stand für eine Kategorie aus. Aufruf: `python3 scripts/learn_check.py [ziel_minuten] [kategorie]`. Default: 120 Minuten, \"Lernen\".\n\n## Pitfalls\n\n- **Zeitgeist API: ALLE Werte sind JSON-Strings — doppelt parsen!** `curl http://localhost:8765/api/data` liefert ein JSON-Objekt, bei dem JEDER Wert ein String ist, der selbst wieder JSON enthält. `data['zeitgeist-v2']` ist z.B. der String `\"{\\\"2026-05-22\\\":[25,25,...]}\"`. Direktes Zugreifen mit `.get()` oder Index-Notation auf den Roh-String wirft `AttributeError: 'str' object has no attribute 'get'`. **Immer** so parsen:\n ```python\n for k, v in data.items():\n if isinstance(v, str) and v.strip().startswith(('{', '[')):\n data[k] = json.loads(v)\n ```\n Erst DANACH ist `data['zeitgeist-v2']['2026-05-22']` ein echtes Array.\n- **Custom überschreibt Built-in:** Wenn eine Custom-Kategorie denselben Namen hat wie ein Built-in, gewinnt die Custom-Version (Icon + Farbe). Bei Konflikten die Custom-Kategorie auf dem Server anpassen.\n- **Defaults gelten nicht für existierende Tage:** `getDefaults()` wird nur als Fallback verwendet, wenn `localStorage.getItem(dateKey)` `null` zurückgibt. Für bereits getrackte Tage muss der Server direkt gepatcht werden.\n- **Server-Sync beachten:** Daten liegen auf dem Server (`:8765`). Änderungen nur im HTML reichen nicht, wenn der Tag schon Daten hat.\n- **Emoji/Icon-Konsistenz:** Immer sowohl Built-in als auch Custom-Kategorie prüfen, damit das richtige Icon angezeigt wird.\n\nThe user has provided the following instruction alongside the skill invocation: [IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly \"[SILENT]\" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]\n\nAbend-Check für den Chef (Zeyd). Führe folgende Schritte aus:\n\n1. **CallKeep Telefonate prüfen:** Rufe curl -s http://localhost:3002/api/calls ab. Prüfe, ob HEUTE Anrufe verbucht wurden (Feld called_at enthält heutiges Datum 2026-05-29). \n - Falls KEINE Anrufe für heute verbucht sind: Frage den Chef freundlich, ob er heute telefoniert hat und ob er die Anrufe noch in CallKeep eintragen möchte.\n - Falls Anrufe verbucht sind: Sage kurz \"Heute wurden X Anrufe verbucht, sehr gut!\" und liste sie kurz (mit wem, wie lange).\n\n2. **DailyDose:** Erinnere den Chef nochmal freundlich, seine DailyDose für heute auszufüllen. Kurz, entspannt, auf Deutsch. Variiere die Formulierung jedes Mal.\n\n**Ton:** Entspannt, freundlich, auf Deutsch. Sprich Zeyd mit \"Chef\" an."
},
{
"role": "assistant",
"content": "",
"reasoning": "The user wants me to perform an evening check for \"Chef\" Zeyd. I need to:\n\n1. Check CallKeep calls for today (2026-06-03, not 2026-05-29 as mentioned - the prompt is from an old template, today is actually June 3, 2026 based on the conversation start date)\n2. Check DailyDose data for today\n3. Deliver a friendly evening reminder in German\n\nWait, the user says today is 2026-05-29 in the instruction, but the conversation started \"Wednesday, June 03, 2026\". I should use the actual current date, which is June 3, 2026. The \"2026-05-29\" in the prompt is likely a leftover from a template.\n\nActually, I need to be more careful. Let me check: the system says \"Conversation started: Wednesday, June 03, 2026 08:00 PM\". So today is 2026-06-03. The instruction says to check for \"2026-05-29\" but that's a template date. I should use today's actual date: 2026-06-03.\n\nLet me make the two API calls in parallel.",
"finish_reason": "tool_calls",
"reasoning_content": "The user wants me to perform an evening check for \"Chef\" Zeyd. I need to:\n\n1. Check CallKeep calls for today (2026-06-03, not 2026-05-29 as mentioned - the prompt is from an old template, today is actually June 3, 2026 based on the conversation start date)\n2. Check DailyDose data for today\n3. Deliver a friendly evening reminder in German\n\nWait, the user says today is 2026-05-29 in the instruction, but the conversation started \"Wednesday, June 03, 2026\". I should use the actual current date, which is June 3, 2026. The \"2026-05-29\" in the prompt is likely a leftover from a template.\n\nActually, I need to be more careful. Let me check: the system says \"Conversation started: Wednesday, June 03, 2026 08:00 PM\". So today is 2026-06-03. The instruction says to check for \"2026-05-29\" but that's a template date. I should use today's actual date: 2026-06-03.\n\nLet me make the two API calls in parallel.",
"tool_calls": [
{
"id": "call_tlcskjkl",
"call_id": "call_tlcskjkl",
"response_item_id": "fc_tlcskjkl",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"curl -s http://localhost:3002/api/calls\",\"timeout\":10}"
}
},
{
"id": "call_xg8c5fsn",
"call_id": "call_xg8c5fsn",
"response_item_id": "fc_xg8c5fsn",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"curl -s http://localhost:8765/api/data | python3 -c \\\"\\nimport json, sys\\ndata = json.load(sys.stdin)\\n# Parse double-encoded values\\nfor k, v in list(data.items()):\\n if isinstance(v, str) and v.strip().startswith(('{','[')):\\n data[k] = json.loads(v)\\ntoday_key = 'dailydose_2026-06-03'\\nif today_key in data:\\n print('TODAY_DATA:', json.dumps(data[today_key], ensure_ascii=False))\\nelse:\\n print('TODAY_DATA: null')\\n\\\"\",\"timeout\":10}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"[{\\\"id\\\":22,\\\"contact_id\\\":9,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":60,\\\"summary\\\":\\\"Besuch bei Oma\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-06-03\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-06-03 12:16:05\\\",\\\"contact_name\\\":\\\"Anneanne\\\"},{\\\"id\\\":23,\\\"contact_id\\\":12,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":60,\\\"summary\\\":\\\"Besuch bei Oma\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-06-03\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-06-03 12:16:07\\\",\\\"contact_name\\\":\\\"Nihan Teyze\\\"},{\\\"id\\\":13,\\\"contact_id\\\":8,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":5,\\\"summary\\\":\\\"Bayram\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-28\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-28 19:12:03\\\",\\\"contact_name\\\":\\\"Orhan Ocakdan\\\"},{\\\"id\\\":17,\\\"contact_id\\\":15,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":5,\\\"summary\\\":\\\"\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-28\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-28 19:20:28\\\",\\\"contact_name\\\":\\\"Josef Garf\\\"},{\\\"id\\\":19,\\\"contact_id\\\":6,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":3,\\\"summary\\\":\\\"Er kommt mit seiner Familie nach Wien im Oktober für eine Woche\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-28\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-28 19:24:38\\\",\\\"contact_name\\\":\\\"Fatih Yilmaz\\\"},{\\\"id\\\":21,\\\"contact_id\\\":14,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":5,\\\"summary\\\":\\\"Macht jetzt Websiten, sehen sehr gut aus. zb strukata.at\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-28\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-28 19:37:15\\\",\\\"contact_name\\\":\\\"Abdullah Oberascher\\\"},{\\\"id\\\":12,\\\"contact_id\\\":11,\\\"direction\\\":\\\"Eingehend\\\",\\\"duration_minutes\\\":6,\\\"summary\\\":\\\"Über seine neue Wohnung gesprochen\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-25\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-25 10:50:57\\\",\\\"contact_name\\\":\\\"Omar Elsayed\\\"},{\\\"id\\\":6,\\\"contact_id\\\":9,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":5,\\\"summary\\\":\\\"\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-23T17:19:26.171033\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-23 17:19:26\\\",\\\"contact_name\\\":\\\"Anneanne\\\"},{\\\"id\\\":3,\\\"contact_id\\\":4,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":4,\\\"summary\\\":\\\"Einladung zu Bayram Essen am Mittwoch\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-23\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-23 17:14:12\\\",\\\"contact_name\\\":\\\"Dede\\\"},{\\\"id\\\":5,\\\"contact_id\\\":8,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":5,\\\"summary\\\":\\\"Bauprojekt in Ankara\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-23\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-23 17:17:43\\\",\\\"contact_name\\\":\\\"Orhan Ocakdan\\\"},{\\\"id\\\":10,\\\"contact_id\\\":12,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":5,\\\"summary\\\":\\\"\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-23\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-24 16:54:01\\\",\\\"contact_name\\\":\\\"Nihan Teyze\\\"},{\\\"id\\\":9,\\\"contact_id\\\":9,\\\"direction\\\":\\\"Eingehend\\\",\\\"duration_minutes\\\":8,\\\"summary\\\":\\\"Oma geht es gut, freut sich auf Besuch\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-05-22T15:00:00\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-23 17:29:08\\\",\\\"contact_name\\\":\\\"Anneanne\\\"},{\\\"id\\\":11,\\\"contact_id\\\":13,\\\"direction\\\":\\\"Ausgehend\\\",\\\"duration_minutes\\\":10,\\\"summary\\\":\\\"\\\",\\\"follow_up_needed\\\":false,\\\"follow_up_note\\\":\\\"\\\",\\\"called_at\\\":\\\"2026-04-22\\\",\\\"next_call_at\\\":\\\"\\\",\\\"created_at\\\":\\\"2026-05-24 16:57:33\\\",\\\"contact_name\\\":\\\"Melany Buchberger-Golabi\\\"}]\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_tlcskjkl"
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"TODAY_DATA: null\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_xg8c5fsn"
},
{
"role": "assistant",
"content": "🌙 **Abend-Check, Chef!**\n\n**📞 CallKeep:** Heute wurden 2 Anrufe verbucht, sehr gut! Du hast mit **Anneanne** (60 min — Besuch bei Oma) und **Nihan Teyze** (60 min — Besuch bei Oma) telefoniert. Klingt nach einem schönen Familientag!\n\n**📋 DailyDose:** Deine DailyDose ist für heute noch leer — bevor der Tag ganz vorbei ist, kurz eintragen was ging? Ein paar Minuten reichen schon. Schlaf gut später! 😴",
"reasoning": "Let me analyze the results:\n\n**CallKeep:** Two calls today (2026-06-03):\n- Anneanne: Ausgehend, 60 min, \"Besuch bei Oma\"\n- Nihan Teyze: Ausgehend, 60 min, \"Besuch bei Oma\"\n\nWait, today is 2026-06-03 per the system prompt, but the cron job description mentions \"heutiges Datum 2026-05-29\" — that's from the original prompt template. Let me use the actual date. The system says \"Conversation started: Wednesday, June 03, 2026 08:00 PM\". So today is 2026-06-03.\n\nAnd the calls do show `called_at: \"2026-06-03\"` for IDs 22 and 23.\n\n**DailyDose:** No data for today (dailydose_2026-06-03 is null).\n\nSo the response should be:\n1. CallKeep: Heute wurden 2 Anrufe verbucht — freundlich erwähnen\n2. DailyDose: Noch nichts eingetragen — freundliche Abend-Erinnerung\n\nLet me compose a relaxed, friendly German evening message.",
"finish_reason": "stop",
"reasoning_content": "Let me analyze the results:\n\n**CallKeep:** Two calls today (2026-06-03):\n- Anneanne: Ausgehend, 60 min, \"Besuch bei Oma\"\n- Nihan Teyze: Ausgehend, 60 min, \"Besuch bei Oma\"\n\nWait, today is 2026-06-03 per the system prompt, but the cron job description mentions \"heutiges Datum 2026-05-29\" — that's from the original prompt template. Let me use the actual date. The system says \"Conversation started: Wednesday, June 03, 2026 08:00 PM\". So today is 2026-06-03.\n\nAnd the calls do show `called_at: \"2026-06-03\"` for IDs 22 and 23.\n\n**DailyDose:** No data for today (dailydose_2026-06-03 is null).\n\nSo the response should be:\n1. CallKeep: Heute wurden 2 Anrufe verbucht — freundlich erwähnen\n2. DailyDose: Noch nichts eingetragen — freundliche Abend-Erinnerung\n\nLet me compose a relaxed, friendly German evening message."
}
]
}