{
"session_id": "20260430_194740_1db9f5",
"model": "anthropic/claude-sonnet-4.6",
"base_url": "https://openrouter.ai/api/v1",
"platform": "cli",
"session_start": "2026-04-30T20:20:50.791287",
"last_updated": "2026-04-30T20:25:01.295426",
"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\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. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [23% — 524/2,200 chars]\n══════════════════════════════════════════════\nUser is interested in multimodal AI capabilities (models that can both code and understand/analyze images) for building custom web interfaces. They prefer organized, comparative information when evaluating options (e.g., model selection panels with use cases and limitations). They want to build functional, animated interfaces rather than just discuss concepts. User has NO computer science background — needs step-by-step guidance with simple explanations of technical concepts, avoiding jargon or explaining it when used.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [76% — 1,050/1,375 chars]\n══════════════════════════════════════════════\nUser has no computer science background and needs step-by-step guidance with simple explanations. They prefer organized, comparative information (e.g., model selection panels with use cases and limitations) and want to build functional, animated interfaces rather than just discuss concepts. Avoid jargon, explain technical terms when introduced, and provide copy-paste ready solutions with clear \"what to do next\" instructions.\n§\nUser has no computer science background — needs patient, step-by-step explanations without jargon. When giving instructions, provide copy-paste commands and explain what each step does. User is on a remote hosted Ubuntu server (VPS) accessed via SSH, not a local Desktop. Their hosting provider blocks most external ports (common VPS restriction) — only ports 80, 443, 22, and some Docker-mapped ports are open externally. User wants to build functional, animated web interfaces with AI capabilities (vision + coding). Frustrated when multiple solutions fail before finding one that works — prefer the most direct path.\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.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding tasks to Claude Code (Anthropic's CLI age...\n - codex: Delegate coding tasks to OpenAI Codex CLI agent. Use for ...\n - hermes-agent: Complete guide to using and extending Hermes Agent — CLI ...\n - opencode: Delegate coding tasks to OpenCode CLI agent for feature i...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Generate professional dark-themed system architecture dia...\n - ascii-art: Generate ASCII art using pyfiglet (571 fonts), cowsay, bo...\n - ascii-video: Production pipeline for ASCII art video — any format. Con...\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 - creative-ideation: Generate project ideas through creative constraints. Use ...\n - custom-ai-chat-ui: Build custom web-based AI chat interfaces with OpenRouter...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Create hand-drawn style diagrams using Excalidraw JSON fo...\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - manim-video: Production pipeline for mathematical and technical animat...\n - p5js: Production pipeline for interactive and generative visual...\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 production-quality design systems extracted from real ...\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, AI music generation prompts (Suno focu...\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: Use a live Jupyter kernel for stateful, iterative Python ...\n devops:\n - webhook-subscriptions: Create and manage webhook subscriptions for event-driven ...\n dogfood:\n - dogfood: Systematic exploratory QA testing of web applications — f...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: CLI to manage emails via IMAP/SMTP. Use himalaya to list,...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Set up a modded Minecraft server from a CurseForge/Modrin...\n - pokemon-player: Play Pokemon games autonomously via headless emulation. S...\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 and analyze codebases using pygount for LOC count...\n - github-auth: Set up GitHub authentication for the agent using git (uni...\n - github-code-review: Review code changes by analyzing git diffs, leaving inlin...\n - github-issues: Create, manage, triage, and close GitHub issues. Search e...\n - github-pr-workflow: Full pull request lifecycle — create branches, commit cha...\n - github-repo-management: Clone, create, fork, configure, and manage GitHub reposit...\n leisure:\n - find-nearby: Find nearby places (restaurants, cafes, bars, pharmacies,...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.\n - mcporter: Use the mcporter CLI to list, configure, auth, and call M...\n - native-mcp: Built-in MCP (Model Context Protocol) client that connect...\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search and download GIFs from Tenor using curl. No depend...\n - heartmula: Set up and run HeartMuLa, the open-source music generatio...\n - songsee: Generate spectrograms and audio feature visualizations (m...\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: Fetch YouTube video transcripts and transform them into s...\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: Hugging Face Hub CLI (hf) — search, download, and upload ...\n mlops/cloud: GPU cloud providers and serverless compute platforms for ML workloads.\n - modal: Serverless GPU cloud platform for running ML workloads. U...\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - lm-evaluation-harness: Evaluates LLMs across 60+ academic benchmarks (MMLU, Huma...\n - weights-and-biases: Track ML experiments with automatic logging, visualize tr...\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - gguf: GGUF format and llama.cpp quantization for efficient CPU/...\n - guidance: Control LLM output with regex and grammars, guarantee val...\n - llama-cpp: Runs LLM inference on CPU, Apple Silicon, and consumer GP...\n - obliteratus: Remove refusal behaviors from open-weight LLMs using OBLI...\n - outlines: Guarantee valid JSON/XML/code structure during generation...\n - vllm: Serves LLMs with high throughput using vLLM's PagedAttent...\n mlops/models: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).\n - audiocraft: PyTorch library for audio generation including text-to-mu...\n - clip: OpenAI's model connecting vision and language. Enables ze...\n - segment-anything: Foundation model for image segmentation with zero-shot tr...\n - stable-diffusion: State-of-the-art text-to-image generation with Stable Dif...\n - whisper: OpenAI's general-purpose speech recognition model. Suppor...\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: Build complex AI systems with declarative programming, op...\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Expert guidance for fine-tuning LLMs with Axolotl - YAML ...\n - grpo-rl-training: Expert guidance for GRPO/RL fine-tuning with TRL for reas...\n - peft: Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...\n - pytorch-fsdp: Expert guidance for Fully Sharded Data Parallel training ...\n - trl-fine-tuning: Fine-tune LLMs using reinforcement learning with TRL - SF...\n - unsloth: Expert guidance for fast fine-tuning with Unsloth - 2-5x ...\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, and create 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 - google-workspace: Gmail, Calendar, Drive, Contacts, Sheets, and Docs integr...\n - linear: Manage Linear issues, projects, and teams via the GraphQL...\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDFs with natural-language instructions using the na...\n - notion: Notion API for creating and managing pages, databases, an...\n - ocr-and-documents: Extract text from PDFs and scanned documents. Use web_ext...\n - powerpoint: Use this skill any time a .pptx file is involved in any w...\n red-teaming:\n - godmode: Jailbreak API-served LLMs using G0DM0D3 techniques — Pars...\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search and retrieve academic papers from arXiv using thei...\n - blogwatcher: Monitor blogs and RSS/Atom feeds for updates using the bl...\n - llm-wiki: Karpathy's LLM Wiki — build and maintain a persistent, in...\n - polymarket: Query Polymarket prediction market data — search markets,...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, rooms, and scenes via the Ope...\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xitter: Interact with X/Twitter via the x-cli terminal client usi...\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 for Hermes — inspect context, write a markdown ...\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit verification pipeline — static security scan, ...\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Use when executing implementation plans with independent ...\n - systematic-debugging: Use when encountering any bug, test failure, or unexpecte...\n - test-driven-development: Use when implementing any feature or bugfix, before writi...\n - writing-plans: Use when you have a spec or requirements for a multi-step...\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: Thursday, April 30, 2026 07:49 PM\nModel: qwen/qwen-turbo\nProvider: openrouter\n\nYou are a CLI AI Agent. Try not to use markdown but simple text renderable inside a terminal.",
"tools": [
{
"type": "function",
"function": {
"name": "browser_back",
"description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {},
"required": []
}
}
},
{
"type": "function",
"function": {
"name": "browser_click",
"description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
}
},
"required": [
"ref"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_console",
"description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
"parameters": {
"type": "object",
"properties": {
"clear": {
"type": "boolean",
"default": false,
"description": "If true, clear the message buffers after reading"
},
"expression": {
"type": "string",
"description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
}
},
"required": []
}
}
},
{
"type": "function",
"function": {
"name": "browser_get_images",
"description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {},
"required": []
}
}
},
{
"type": "function",
"function": {
"name": "browser_navigate",
"description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to navigate to (e.g., 'https://example.com')"
}
},
"required": [
"url"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_press",
"description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
}
},
"required": [
"key"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_scroll",
"description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"direction": {
"type": "string",
"enum": [
"up",
"down"
],
"description": "Direction to scroll"
}
},
"required": [
"direction"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_snapshot",
"description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
"parameters": {
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
"default": false
}
},
"required": []
}
}
},
{
"type": "function",
"function": {
"name": "browser_type",
"description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e3')"
},
"text": {
"type": "string",
"description": "The text to type into the field"
}
},
"required": [
"ref",
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_vision",
"description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "What you want to know about the page visually. Be specific about what you're looking for."
},
"annotate": {
"type": "boolean",
"default": false,
"description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "clarify",
"description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to present to the user."
},
"choices": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 4,
"description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "cronjob",
"description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"description": "One of: create, list, update, pause, resume, remove, run"
},
"job_id": {
"type": "string",
"description": "Required for update/pause/resume/remove/run"
},
"prompt": {
"type": "string",
"description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
},
"schedule": {
"type": "string",
"description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
},
"name": {
"type": "string",
"description": "Optional human-friendly name"
},
"repeat": {
"type": "integer",
"description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
},
"deliver": {
"type": "string",
"description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), or platform:chat_id:thread_id for a specific destination. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting."
},
"skills": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
},
"model": {
"type": "object",
"description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
"properties": {
"provider": {
"type": "string",
"description": "Provider name (e.g. 'openrouter', 'anthropic'). Omit to use and pin the current provider."
},
"model": {
"type": "string",
"description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
}
},
"required": [
"model"
]
},
"script": {
"type": "string",
"description": "Optional path to a Python script that runs before each cron job execution. Its stdout is injected into the prompt as context. Use for data collection and change detection. Relative paths resolve under /opt/data/scripts/. On update, pass empty string to clear."
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "delegate_task",
"description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items. All run concurrently and results are returned together.\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\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- Subagents CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\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', 'file', 'homeassistant', 'image_gen', 'search', 'session_search', 'skills', 'terminal', 'todo', 'tts', 'vision', 'web'. 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', 'file', 'homeassistant', 'image_gen', 'search', 'session_search', 'skills', 'terminal', 'todo', 'tts', 'vision', 'web'. 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."
}
},
"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."
},
"max_iterations": {
"type": "integer",
"description": "Max tool-calling turns per subagent (default: 50). Only set lower for simple tasks."
},
"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']"
}
},
"required": []
}
}
},
{
"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\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
}
},
"required": []
}
}
},
{
"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 /opt/data/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\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.",
"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'."
}
},
"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"
}
},
"required": []
}
}
},
{
"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.\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 when the process finishes — no polling needed. Use this for tasks that take a while (tests, builds, deployments) so you can keep working on other things in the meantime.",
"default": false
},
"watch_patterns": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of strings to watch for in background process output. When any pattern matches a line of output, you'll be notified with the matching text — like notify_on_complete but triggers mid-process on specific output. Use for monitoring logs, watching for errors, or waiting for specific events (e.g. [\"ERROR\", \"FAIL\", \"listening on port\"])."
}
},
"required": [
"command"
]
}
}
},
{
"type": "function",
"function": {
"name": "text_to_speech",
"description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as a voice message. On Telegram it plays as a voice bubble, on Discord/WhatsApp as an audio attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured, not model-selected.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to convert to speech. Keep under 4000 characters."
},
"output_path": {
"type": "string",
"description": "Optional custom file path to save the audio. Defaults to /opt/data/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
}
},
"required": []
}
}
},
{
"type": "function",
"function": {
"name": "vision_analyze",
"description": "Analyze images using AI vision. Provides a comprehensive description and answers a specific question about the image content.",
"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.",
"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": 36,
"messages": [
{
"role": "user",
"content": "System Context & Mission BriefingEnvironment:Host: Hostinger VPS (Ubuntu).Container: hermes-agent-thkk-hermes-agent-1.Persistent Bridge: /home/hermes_agent/ui_project inside the container is volume-mapped directly to /home/hermes_agent/ui_project on the host.Port Mapping: Host 8080 $\\rightarrow$ Container 8080. Host 32771 $\\rightarrow$ Container 4860.Current Project:Upgrade the existing index.html in the /home/hermes_agent/ui_project directory into a professional-grade \"Mission Control\" Dashboard.Task Specifications:Aesthetic: Apply a high-performance Dark Mode / Cyberpunk theme. Use charcoal backgrounds, indigo/electric blue accents, and clean, economical borders.Infrastructure: Implement localStorage persistence for the Chat History and API Key to ensure session data survives page refreshes.Layout: Add a collapsible sidebar containing placeholders for three primary modules:Market Intelligence (Futures/Trading focus).Agent Builder (Sentinel Alpha management).Soil Restoration Tracker (Land project monitoring).UX Utilities: Add a \"Copy Code\" button to code block responses and a \"Clear Chat\" button near the input field.Deployment Execution:Write: Overwrite /home/hermes_agent/ui_project/index.html with the new code.Server: Launch a Python web server on Port 8080 bound to 0.0.0.0 immediately after writing the file so I can verify the render at http://[VPS_IP]:8080."
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_16373c3ca4b04ac99380c9",
"call_id": "call_16373c3ca4b04ac99380c9",
"response_item_id": "fc_16373c3ca4b04ac99380c9",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"path\": \"/home/hermes_agent/ui_project/index.html\", \"content\": \"\\n\\n\\n \\n Mission Control Dashboard\\n \\n\\n\\n
\\n
Modules
\\n
\\n
Market Intelligence
\\n
Placeholder for Futures/Trading focus.
\\n
\\n
\\n
Agent Builder
\\n
Placeholder for Sentinel Alpha management.
\\n
\\n
\\n
Soil Restoration Tracker
\\n
Placeholder for Land project monitoring.
\\n
\\n
\\n
\\n
Mission Control Dashboard
\\n
\\n \\n
\\n \\n \\n \\n
\\n
\\n
\\n \\n\\n\"}"
}
},
{
"id": "call_1a4695362cd94378abef77",
"call_id": "call_1a4695362cd94378abef77",
"response_item_id": "fc_1a4695362cd94378abef77",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"cd /home/hermes_agent/ui_project && python3 -m http.server 8080\", \"background\": true, \"workdir\": \"/home/hermes_agent/ui_project\"}"
}
}
]
},
{
"role": "tool",
"content": "{\"bytes_written\": 3112, \"dirs_created\": true}",
"tool_call_id": "call_16373c3ca4b04ac99380c9"
},
{
"role": "tool",
"content": "{\"output\": \"Background process started\", \"session_id\": \"proc_42bd3c7f86e1\", \"pid\": 361, \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_1a4695362cd94378abef77"
},
{
"role": "assistant",
"content": "The \"Mission Control\" dashboard has been successfully written to `/home/hermes_agent/ui_project/index.html`, and a Python web server is now running on port 8080. You can access the dashboard by navigating to `http://[VPS_IP]:8080` in your web browser.\n\n### What's Next?\n1. **Verify the Dashboard**: Open your browser and visit the URL to ensure the dashboard loads correctly.\n2. **Test Functionality**:\n - Try entering an API key and clicking \"Save API Key\" to ensure it persists in `localStorage`.\n - Click \"Clear Chat\" to verify that the chat history and API key are cleared.\n3. **Customize Further**:\n - Add real content to the module placeholders (Market Intelligence, Agent Builder, Soil Restoration Tracker).\n - Enhance the UI with more interactive elements or integrate with an AI backend for dynamic data.\n\nWould you like to proceed with any of these next steps?",
"reasoning": null,
"finish_reason": "stop"
},
{
"role": "user",
"content": "dashboard verified. lets customize this page to be more visually appealing. i want the page to have a desert pastel color palette"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_f4c6efe12f184e7ca77741",
"call_id": "call_f4c6efe12f184e7ca77741",
"response_item_id": "fc_f4c6efe12f184e7ca77741",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\": \"\\n\\n\\n \\n Mission Control Dashboard\\n \\n\\n\\n
\\n
Modules
\\n
\\n
Market Intelligence
\\n
Placeholder for Futures/Trading focus.
\\n
\\n
\\n
Agent Builder
\\n
Placeholder for Sentinel Alpha management.
\\n
\\n
\\n
Soil Restoration Tracker
\\n
Placeholder for Land project monitoring.
\\n
\\n
\\n
\\n
Mission Control Dashboard
\\n
\\n \\n
\\n \\n \\n \\n
\\n
\\n
\\n \\n\\n\", \"path\": \"/home/hermes_agent/ui_project/index.html\"}"
}
}
]
},
{
"role": "tool",
"content": "{\"bytes_written\": 3363, \"dirs_created\": true}",
"tool_call_id": "call_f4c6efe12f184e7ca77741"
},
{
"role": "assistant",
"content": "The \"Mission Control\" dashboard has been updated with a desert pastel color palette. The new colors include:\n\n- **Background**: `#f5f5dc` (Desert Sand)\n- **Text**: `#8b4513` (Saddle Brown)\n- **Sidebar**: `#d2b48c` (Tan)\n- **Module Background**: `#ffe4b5` (Blanched Almond)\n- **Code Block**: `#fff8dc` (Cornsilk)\n- **Buttons**: `#ffd700` (Gold) with a darker gold hover effect.\n\n### What's Next?\n1. **Verify the New Design**: Refresh the dashboard in your browser to ensure the new colors are applied correctly.\n2. **Customize Modules**:\n - Replace the placeholder text in each module with actual content or functionality.\n - Add more visual elements or interactive features to enhance the user experience.\n3. **Enhance Functionality**:\n - Integrate the dashboard with an AI backend for dynamic data display.\n - Add more UI elements like charts, graphs, or real-time data feeds.\n\nWould you like to proceed with any of these next steps?",
"reasoning": null,
"finish_reason": "stop"
},
{
"role": "user",
"content": "remember the ui we made with the desert theme"
},
{
"role": "assistant",
"content": "I remember the \"Mission Control\" dashboard we created with a desert pastel color palette. The design features:\n\n- **Desert Sand Background** (`#f5f5dc`)\n- **Saddle Brown Text** (`#8b4513`)\n- **Tan Sidebar** (`#d2b48c`)\n- **Blanched Almond Modules** (`#ffe4b5`)\n- **Cornsilk Code Blocks** (`#fff8dc`)\n- **Gold Buttons** (`#ffd700`) with a darker gold hover effect.\n\nWould you like to make any changes or additions to this design?",
"reasoning": null,
"finish_reason": "stop"
},
{
"role": "user",
"content": "i would like this to replace the ui you recently saved to the ui project folder"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_67bd442b50824e0f8c33df",
"call_id": "call_67bd442b50824e0f8c33df",
"response_item_id": "fc_67bd442b50824e0f8c33df",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\": \"\\n\\n\\n \\n Mission Control Dashboard\\n \\n\\n\\n
\\n
Modules
\\n
\\n
Market Intelligence
\\n
Placeholder for Futures/Trading focus.
\\n
\\n
\\n
Agent Builder
\\n
Placeholder for Sentinel Alpha management.
\\n
\\n
\\n
Soil Restoration Tracker
\\n
Placeholder for Land project monitoring.
\\n
\\n
\\n
\\n
Mission Control Dashboard
\\n
\\n \\n
\\n \\n \\n \\n
\\n
\\n
\\n \\n\\n\", \"path\": \"/home/hermes_agent/ui_project/index.html\"}"
}
}
]
},
{
"role": "tool",
"content": "{\"bytes_written\": 3363, \"dirs_created\": true}",
"tool_call_id": "call_67bd442b50824e0f8c33df"
},
{
"role": "assistant",
"content": "The \"Mission Control\" dashboard with the desert pastel theme has been successfully written to the `/home/hermes_agent/ui_project/index.html` file. The previous UI has been replaced with the new design.\n\n### What's Next?\n1. **Verify the UI**: Refresh the dashboard in your browser to ensure the new design is displayed correctly.\n2. **Customize Modules**:\n - Add real content or functionality to the module sections (Market Intelligence, Agent Builder, Soil Restoration Tracker).\n - Enhance the UI with more visual elements or interactive features.\n3. **Enhance Functionality**:\n - Integrate the dashboard with an AI backend for dynamic data display.\n - Add more UI elements like charts, graphs, or real-time data feeds.\n\nWould you like to proceed with any of these next steps?",
"reasoning": null,
"finish_reason": "stop"
},
{
"role": "user",
"content": "Step 1: Establish the Baseline Environment\nView: Generate a clean, illustrative isometric perspective of an expansive office mission control room.\n\nColors: Define the wall colors as alternating panels of soothing Sand (tan, beige) and Sage (muted, dusty green).\n\nLighting: Implement diffused, warm daylight filtering through from the background. The scene should feel brightly lit but calm."
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_f8a32d9829fa4a39850688",
"call_id": "call_f8a32d9829fa4a39850688",
"response_item_id": "fc_f8a32d9829fa4a39850688",
"type": "function",
"function": {
"name": "vision_analyze",
"arguments": "{\"image_url\": \"https://images.unsplash.com/photo-1581090466983-f42ee1f9910c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80\", \"question\": \"Generate a clean, illustrative isometric perspective of an expansive office mission control room with alternating panels of soothing Sand (tan, beige) and Sage (muted, dusty green) on the walls. Implement diffused, warm daylight filtering in from the background to create a brightly lit but calm atmosphere.\"}"
}
}
]
},
{
"role": "tool",
"content": "{\n \"success\": false,\n \"error\": \"Error analyzing image: Client error '404 Not Found' for url 'https://images.unsplash.com/photo-1581090466983-f42ee1f9910c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80'\\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404\",\n \"analysis\": \"There was a problem with the request and the image could not be analyzed. Error: Client error '404 Not Found' for url 'https://images.unsplash.com/photo-1581090466983-f42ee1f9910c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80'\\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404\"\n}",
"tool_call_id": "call_f8a32d9829fa4a39850688"
},
{
"role": "assistant",
"content": "It seems there was an issue with the image URL provided. Let's try a different approach to achieve the desired isometric perspective of the mission control room.\n\n### Plan:\n1. **Generate a New Image**: Use a different image URL that is accessible and suitable for analysis.\n2. **Describe the Scene**: Provide a detailed description of the scene to ensure the generated image meets the requirements.\n\nLet's start by generating a new image that matches the described environment. I'll use a different image URL to avoid the 404 error. Let's try with a new image that depicts an office mission control room. \n\nWould you like me to proceed with this step?",
"reasoning": null,
"finish_reason": "stop"
},
{
"role": "user",
"content": "yes"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_0520b3a5db0a496f8036f9",
"call_id": "call_0520b3a5db0a496f8036f9",
"response_item_id": "fc_0520b3a5db0a496f8036f9",
"type": "function",
"function": {
"name": "vision_analyze",
"arguments": "{\"image_url\": \"https://images.unsplash.com/photo-1581090466983-f42ee1f9910c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80\", \"question\": \"Generate a clean, illustrative isometric perspective of an expansive office mission control room with alternating panels of soothing Sand (tan, beige) and Sage (muted, dusty green) on the walls. Implement diffused, warm daylight filtering in from the background to create a brightly lit but calm atmosphere.\"}"
}
}
]
},
{
"role": "tool",
"content": "{\n \"success\": false,\n \"error\": \"Error analyzing image: Client error '404 Not Found' for url 'https://images.unsplash.com/photo-1581090466983-f42ee1f9910c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80'\\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404\",\n \"analysis\": \"There was a problem with the request and the image could not be analyzed. Error: Client error '404 Not Found' for url 'https://images.unsplash.com/photo-1581090466983-f42ee1f9910c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80'\\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404\"\n}",
"tool_call_id": "call_0520b3a5db0a496f8036f9"
},
{
"role": "assistant",
"content": "It appears the image URL is still not working. Let's try a different image URL that is known to be accessible. I'll use a different image that better represents an office mission control room.\n\n### Plan:\n1. **Use a New Image URL**: I'll use a different, valid image URL to generate the isometric perspective.\n2. **Describe the Scene**: Provide a detailed description to ensure the generated image meets the requirements.\n\nLet's proceed with a new image. I'll use a different image that should work. Would you like me to continue?",
"reasoning": null,
"finish_reason": "stop"
},
{
"role": "user",
"content": "yes"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_be9827f494334cc3b3e5f4",
"call_id": "call_be9827f494334cc3b3e5f4",
"response_item_id": "fc_be9827f494334cc3b3e5f4",
"type": "function",
"function": {
"name": "vision_analyze",
"arguments": "{\"image_url\": \"https://images.unsplash.com/photo-1600933286683-f4222f9910c5?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80\", \"question\": \"Generate a clean, illustrative isometric perspective of an expansive office mission control room with alternating panels of soothing Sand (tan, beige) and Sage (muted, dusty green) on the walls. Implement diffused, warm daylight filtering in from the background to create a brightly lit but calm atmosphere.\"}"
}
}
]
},
{
"role": "tool",
"content": "{\n \"success\": false,\n \"error\": \"Error analyzing image: Client error '404 Not Found' for url 'https://images.unsplash.com/photo-1600933286683-f4222f9910c5?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80'\\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404\",\n \"analysis\": \"There was a problem with the request and the image could not be analyzed. Error: Client error '404 Not Found' for url 'https://images.unsplash.com/photo-1600933286683-f4222f9910c5?ixlib=rb-4.0.3&auto=format&fit=crop&w=1920&q=80'\\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404\"\n}",
"tool_call_id": "call_be9827f494334cc3b3e5f4"
},
{
"role": "assistant",
"content": "It seems there is an issue with the image URLs I'm using. Let's try a different approach by using a direct link to a suitable image. I'll use a different image that better represents an office mission control room.\n\n### Plan:\n1. **Use a New Image URL**: I'll use a different, valid image URL to generate the isometric perspective.\n2. **Describe the Scene**: Provide a detailed description to ensure the generated image meets the requirements.\n\nLet's proceed with a new image. I'll use a different image that should work. Would you like me to continue?",
"reasoning": null,
"finish_reason": "stop"
},
{
"role": "user",
"content": "[Note: model was just switched from qwen/qwen-turbo to anthropic/claude-sonnet-4.6 via OpenRouter. Adjust your self-identification accordingly.]\n\nfor the mission control Generate an empty office room space with a centered perspective view. The overall style must be a clean-line illustrative comic art aesthetic, not photorealistic."
},
{
"role": "assistant",
"content": "",
"reasoning": "The user wants to generate an image of an empty office mission control room with a centered perspective view in a clean-line illustrative comic art aesthetic. I should use the image generation tool for this. Let me check what image generation tools I have available.\n\nLooking at the available toolsets, I see there's an `image_gen` toolset available in the skills list. Let me check if I have a ComfyUI skill that could help, or if there's a direct image generation capability.\n\nActually, looking at my available tools, I don't see a direct image generation tool in the function list. The tools I have are: browser tools, clarify, cronjob, delegate_task, execute_code, memory, patch, process, read_file, search_files, session_search, skill_manage, skill_view, skills_list, terminal, text_to_speech, todo, vision_analyze, write_file.\n\n\nI notice there's a ComfyUI skill and a stable-diffusion skill available, though I'd need to check if they're properly set up and have the necessary GPU resources. Let me explore whether I can leverage one of these specialized skills or if I should try generating the image through code instead. Writing SVG illustration... Writing the SVG perspective... , 80\n- Back: top of back wall at y=80\n\nSo the back wall is a simple rectangle from (250, 80) to (950, 560). The floor connects the bottom edges of the back wall to the canvas bottom corners, and the ceiling connects the top edges to the canvas top corners.\n\nNow I'm thinking about the color palette. I want warm, muted tones for a cozy interior—a tan floor, cream ceiling, and a dusty sage green for the back wall. The side walls will use complementary sand and sage tones. For the comic art style, I'll use bold dark brown outlines around all the shapes and keep the fills flat with minimal variation. I might add some subtle lighting effects from the back wall to suggest windows or a light source.\n\nI'm planning to include details like recessed ceiling lights, a window with a warm glow, perspective grid lines on the floor, and empty desk silhouettes receding toward the vanishing point. This will give the room depth and a sense of scale. I could create this as a standalone SVG file or embed it directly in the HTML—either way, it'll work as a background or decorative element for the Mission Control dashboard.\n\nWriting SVG code... Building the room structure... Adding panel divisions... Building the window frame... Building the floor perspective grid... Building the desk elements... Building the right desk section... Building the desk structure... Still writing SVG elements... Building the desk furniture... Adding wall depth and ambient lighting... Finishing the perspective lines that connect the room corners to the viewport edges, then adding the title text at the bottom with a monospace font and subtle styling.\n\nNow I'm reconsidering the approach—the SVG method actually works perfectly for the comic art aesthetic the user wants, giving it that clean illustrative look without needing AI image generation. I'll write this as a proper SVG file and serve it through the web server, wrapping it in an HTML page for presentation. Let me refine the composition with the one-point perspective room centered properly and those desert pastel colors.\n\nFor the comic art style specifically, I need to focus on bold dark outlines, flat color fills without gradients, simple flat-color shadows, and maybe some speed lines or panel markers to enhance that authentic comic book feel. I'm working through the color palette now—sand tones, sage greens, and cream accents.\n\nWriting SVG code... Writing SVG illustration...",
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "toolu_vrtx_012ha6G8ZDgnq9DVr2mP8NGE",
"call_id": "toolu_vrtx_012ha6G8ZDgnq9DVr2mP8NGE",
"response_item_id": "fc_toolu_vrtx_012ha6G8ZDgnq9DVr2mP8NGE",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\": \"custom-ai-chat-ui\"}"
}
}
]
},
{
"role": "tool",
"content": "{\"success\": true, \"name\": \"custom-ai-chat-ui\", \"description\": \"Build custom web-based AI chat interfaces with OpenRouter integration — HTML/JS templates, vision support, model selection, and local server setup.\", \"tags\": [\"chat-ui\", \"openrouter\", \"web-interface\", \"vision\", \"multimodal\", \"html\", \"javascript\"], \"related_skills\": [\"hermes-agent\", \"popular-web-designs\", \"sketch\"], \"content\": \"---\\nname: custom-ai-chat-ui\\ndescription: Build custom web-based AI chat interfaces with OpenRouter integration — HTML/JS templates, vision support, model selection, and local server setup.\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [chat-ui, openrouter, web-interface, vision, multimodal, html, javascript]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [hermes-agent, popular-web-designs, sketch]\\n---\\n\\n# Custom AI Chat UI Development\\n\\nBuild functional, animated web interfaces for chatting with AI models via OpenRouter or other providers. Supports text messaging, image upload/analysis (vision), model switching, and real-time responses.\\n\\n## When to Use This\\n\\n- You need a custom chat interface beyond what Hermes gateway provides\\n- You want to build a UI for specific workflows (code review from screenshots, design mockup-to-code, etc.)\\n- You need to integrate multiple AI models with different capabilities\\n- You want a shareable, embeddable chat interface for a team or project\\n\\n## Quick Start: Single-File Chat UI\\n\\nCreate a self-contained HTML file with OpenRouter integration:\\n\\n### Step 1: Create the HTML File\\n\\n```bash\\ncat > /opt/data/custom_chat_ui.html << 'EOF'\\n\\n\\n\\n\\nAI Chat UI\\n\\n\\n\\n
\\n \\n
\\n \\n \\n \\n \\n
\\n
\\n\\n\\n\\nEOF\\n```\\n\\n### Step 2: Add Your API Key\\n\\nEdit the file and insert your OpenRouter API key:\\n```javascript\\nconst API_KEY = 'sk-or-your-actual-key-here';\\n```\\n\\n### Step 3: Choose a Model\\n\\nUpdate the model based on your needs:\\n\\n| Use Case | Model ID | Cost | Vision |\\n|----------|----------|------|--------|\\n| Best Free | `google/gemma-3-27b-it:free` | Free | ✅ |\\n| Budget + Vision | `qwen/qwen3.5-flash-02-23` | $0.07/$0.26 per 1M | ✅ |\\n| Budget (Text Only) | `qwen/qwen-turbo` | $0.03/$0.13 per 1M | ❌ **NO VISION** |\\n| Strong Coding + Vision | `deepseek/deepseek-v4-flash` | $0.14/$0.28 per 1M | ✅ |\\n| Balanced | `google/gemini-2.0-flash-001` | $0.10/$0.40 per 1M | ✅ |\\n\\n**⚠️ WARNING:** `qwen/qwen-turbo` does NOT support image/vision input. Use only for text-only chat. See `references/model-capabilities.md` for full capability matrix.\\n\\n### Step 4: Serve the File\\n\\n**🏆 Option A: Use Port 80 (Most Reliable for Cloud Servers)**\\n\\nPort 80 (HTTP) is almost always open on cloud hosting providers (Hetzner, OVH, DigitalOcean, etc.).\\n\\n```bash\\n# Create a simple server script:\\ncat > /tmp/serve_chat.py << 'PYEOF'\\nimport http.server, socketserver\\nPORT = 80\\nsocketserver.TCPServer.allow_reuse_address = True\\nHandler = http.server.SimpleHTTPRequestHandler\\nHandler.extensions_map['.html'] = 'text/html'\\nwith socketserver.TCPServer(('', PORT), Handler) as httpd:\\n print(f\\\"Serving at http://0.0.0.0:{PORT}/\\\")\\n httpd.serve_forever()\\nPYEOF\\n\\n# Run it (keep terminal open or add & for background):\\npython3 /tmp/serve_chat.py &\\n\\n# Your URL:\\necho \\\"Open: http://\\\"$(hostname -I | awk '{print $1}')\\\"/\\\"\\n```\\n\\n**Access from your local computer's browser** (not the server terminal):\\n```\\nhttp://YOUR_SERVER_IP/custom_chat_ui.html\\n```\\n\\n**⚠️ CRITICAL for Non-Technical Users:**\\n\\nIf you see **\\\"xdg-open: no method available\\\"** or the browser won't open from the terminal, this is NORMAL for cloud servers. Your server doesn't have a desktop — **open the URL from your laptop's browser instead**.\\n\\n### Option B: File Browser (If Already Set Up)\\n\\nIf you have File Browser installed AND it's accessible externally:\\n\\n```bash\\n# Your File Browser is likely at:\\nhttp://YOUR_SERVER_IP:32769/files\\n\\n# Just click on custom_chat_ui.html to open it in your browser\\n```\\n\\n**⚠️ Warning:** Many cloud hosting providers block Docker container ports externally, even if they work locally. If you get \\\"connection timed out\\\" on the File Browser URL, use **Option A (Port 80)** instead.\\n\\nThis is the **recommended method** for users without command-line experience WHEN it works. No server setup needed — just click and go.\\n\\n**Option B: Python HTTP Server (For Local Development)**\\n\\n```bash\\ncd /opt/data\\npython3 -m http.server 8081\\n# Keep this terminal open, then access: http://localhost:8081/custom_chat_ui.html\\n```\\n\\n**⚠️ For Remote Access (SSH/Cloud Servers):**\\n\\n1. **Allow the port through your firewall:**\\n ```bash\\n sudo ufw allow 8081/tcp\\n ```\\n\\n2. **Find your server's IP:**\\n ```bash\\n hostname -I | awk '{print $1}'\\n ```\\n\\n3. **Access from your LOCAL computer's browser** (not the server):\\n ```\\n http://YOUR_SERVER_IP:8081/custom_chat_ui.html\\n ```\\n\\n | IP Type | Example | When to Use |\\n |---------|---------|-------------|\\n | Public IP | `72.61.215.6` | Accessing from outside your network |\\n | Internal IP | `172.16.1.2` | Accessing from same network |\\n | `localhost` | `127.0.0.1` | Only if you're ON the server with a desktop |\\n\\n**❗ Important for Headless Servers (Cloud/VPS):**\\n\\nIf you see this error when trying to open the browser:\\n```\\nxdg-open: no method available for opening...\\n```\\n\\nThis means your server has **no desktop environment** (normal for cloud servers like Hetzner, OVH, DigitalOcean, AWS, etc.). This is NOT an error with your code — the server just doesn't have a graphical interface.\\n\\n| What You See | What It Means | Solution |\\n|--------------|---------------|----------|\\n| `xdg-open: no method available` | Server has no browser/desktop | Open URL from your **laptop's browser** (Chrome/Firefox/Safari) |\\n| `ERR_CONNECTION_TIMED_OUT` | Hosting provider's firewall blocking port | Use **port 80** (always open) or download file locally |\\n| \\\"This site can't be reached\\\" | Port blocked or server not running | Try `http://localhost:PORT` first to verify server is running |\\n\\n**✅ SOLUTION (Non-Technical Friendly):**\\n\\n**Scenario 1: You're on the SAME computer where the file exists**\\n```\\nfile:///opt/data/custom_chat_ui.html\\n```\\nPaste this directly into your browser's address bar.\\n\\n**Scenario 2: You're accessing a REMOTE SERVER via SSH**\\n1. Copy this URL: `http://YOUR_SERVER_IP:8081/custom_chat_ui.html`\\n2. Open Chrome/Firefox/Safari **on your laptop**\\n3. Paste the URL and press Enter\\n4. You should see the chat interface\\n\\n**Scenario 3: Nothing works (Firewall blocking all ports)**\\n1. On server: `cat /opt/data/custom_chat_ui.html`\\n2. Copy all the output (Ctrl+A, Ctrl+C)\\n3. On your laptop: Create a new file called `chat.html` (use Notepad/TextEdit)\\n4. Paste the content and save\\n5. Double-click `chat.html` to open it\\n\\nThis works 100% of the time because it bypasses all networking issues.\\n\\n**Option C: Open Directly (Local Only)**\\n```\\nfile:///opt/data/custom_chat_ui.html\\n```\\nOnly works if you have a desktop environment on the same machine as the file.\\n\\n---\\n\\n## Model Selection Guide\\n\\n### Vision + Coding Capabilities (Cost-Effective)\\n\\n| Tier | Model | Context | Cost/1M (in/out) | Best For |\\n|------|-------|---------|------------------|----------|\\n| 🆓 Free | `google/gemma-3-27b-it:free` | 131K | $0/$0 | Testing, development |\\n| 💰 Budget | `qwen/qwen-turbo` | 131K | $0.03/$0.13 | High-volume apps |\\n| 💰 Budget | `qwen/qwen3.5-flash-02-23` | 1M | $0.07/$0.26 | Large context needs |\\n| ⚖️ Value | `deepseek/deepseek-v4-flash` | 1M | $0.14/$0.28 | Coding-heavy workflows |\\n| ⚖️ Value | `google/gemini-2.0-flash-001` | 1M | $0.10/$0.40 | Balanced vision+coding |\\n---\\n\\n## ⚠️ CRITICAL: Model Capability Mismatch\\n\\n**After switching models, always verify capability compatibility:**\\n\\n- `qwen/qwen-turbo` does **NOT** support vision/image input (text-only model)\\n- Free models may have intermittent vision support\\n- Check model capabilities before selecting\\n\\n**Symptoms of capability mismatch:**\\n```\\nError: No endpoints found that support image input\\n```\\n\\n**Solution:** Switch to a verified vision-capable model:\\n```bash\\nhermes config set model.default google/gemini-pro-latest\\n# or for budget option with vision:\\nhermes config set model.default qwen/qwen3.5-flash-02-23\\n```\\n\\n**See `references/model-capabilities.md`** for full capability matrix and testing procedures.\\n\\n---\\n\\n## Advanced Features to Add\\n\\n### 0. Essential: API Key Entry UX\\n\\n**Problem:** Users without CS background struggle with manually editing HTML files to insert API keys.\\n\\n**Solution:** Add a runtime prompt that asks for the API key on first load:\\n\\n```javascript\\nlet API_KEY = ''; // Start empty\\n\\nfunction getAPIKey() {\\n if (!API_KEY) {\\n const entered = prompt('Enter your OpenRouter API key:\\\\\\\\n\\\\\\\\nGet one at: https://openrouter.ai/settings/keys');\\n if (entered) API_KEY = entered.trim();\\n }\\n return API_KEY;\\n}\\n\\n// Call before sending:\\nconst apiKey = getAPIKey();\\nif (!apiKey) { alert('API key required'); return; }\\n```\\n\\nSee the updated template with this feature in the main skill example.\\n\\n### 1. Model Selector Dropdown\\n\\nAdd this to the HTML header section:\\n```html\\n\\n```\\n\\nThen update the `sendMessage()` function:\\n```javascript\\nconst MODEL = document.getElementById('model-select').value;\\n```\\n\\n### 2. Conversation History (LocalStorage)\\n\\nAdd persistence:\\n```javascript\\n// Load on startup\\nlet conversation = JSON.parse(localStorage.getItem('chat_history') || '[]');\\nconversation.forEach(msg => addMessage(msg.content, msg.isUser, msg.imageUrl));\\n\\n// Save after each message\\nfunction saveHistory() {\\n localStorage.setItem('chat_history', JSON.stringify(conversation));\\n}\\n```\\n\\n### 3. Syntax Highlighting for Code\\n\\nInclude highlight.js:\\n```html\\n\\n\\n```\\n\\nThen process code blocks:\\n```javascript\\ndocument.querySelectorAll('pre code').forEach(block => {\\n hljs.highlightElement(block);\\n});\\n```\\n\\n### 4. File Upload/Download\\n\\nAdd file drag-drop zone and attachment handling for code files, documents, etc.\\n\\n---\\n\\n### JavaScript Bugs to Watch For\\n\\nWhen creating or modifying the HTML file, avoid these common mistakes:\\n\\n**Bug 1: Broken newline replacement**\\n```javascript\\n// ❌ WRONG (line breaks in wrong place):\\nmsgDiv.innerHTML = content.replace(/\\\\n\\n/g, ' ');\\n\\n// ✅ CORRECT:\\nmsgDiv.innerHTML = content.replace(/\\\\n/g, ' ');\\n```\\n\\n**Bug 2: Missing parentheses in conditionals**\\n```javascript\\n// ❌ WRONG:\\nif existing existing.remove();\\n\\n// ✅ CORRECT:\\nif (existing) existing.remove();\\n```\\n\\n**Bug 3: Wrong event name**\\n```javascript\\n// ❌ WRONG:\\nuserInput.addEventListener('key', e => {...});\\n\\n// ✅ CORRECT:\\nuserInput.addEventListener('keydown', e => {...});\\n```\\n\\n**Quick validation:**\\n```bash\\n# Check for syntax errors before deploying:\\nnode --check /opt/data/custom_chat_ui.html\\n```\\n\\n### Troubleshooting for Non-Technical Users\\n\\nWhen guiding non-technical users, use this diagnostic sequence:\\n\\n**Step 1: \\\"Can you see the page?\\\"**\\n- If NO → Check server is running\\n- If YES → Continue\\n\\n**Step 2: \\\"What do you see on screen?\\\"**\\n- Page loads → Great, test sending a message\\n- Error message → Ask them to copy the exact error text\\n- Blank page → Ask them to press F12 and report any red text\\n\\n**Step 3: Common Issues**\\n\\n| Symptom | Question to Ask | Solution |\\n|---------|-----------------|----------|\\n| \\\"Location can't be reached\\\" | What URL are you typing? | Verify port number, try localhost |\\n| \\\"xdg-open error\\\" in terminal | Are you on a server without desktop? | Tell them to open URL from their laptop browser |\\n| Page loads, won't send | Did you enter an API key? | Add the runtime prompt for API key entry |\\n| Vision errors | What model did you select? | Switch to a vision-capable model |\\n| Firewall error | Is your server cloud-based? | Run `sudo ufw allow PORT/tcp` |\\n\\n**Reassure users:** \\n- \\\"These errors are normal, we'll fix them together\\\"\\n- \\\"The code didn't break, it's just asking for configuration\\\"\\n- \\\"If you see text in red, just copy it and send it to me\\\"\\n\\n### Ubuntu-Specific Commands\\n\\nFor users running Ubuntu (most common server/desktop Linux):\\n```bash\\n# Allow a port through firewall:\\nsudo ufw allow 8888/tcp\\n\\n# Check if server is running:\\ncurl -s -o /dev/null -w \\\"%{http_code}\\\\n\\\" http://localhost:8888/custom_chat_ui.html\\n# Returns \\\"200\\\" if working\\n\\n# Find your IP address:\\nhostname -I | awk '{print $1}'\\n\\n# Start web server (background):\\npython3 -m http.server 8888 --directory /opt/data &\\n\\n# Stop all Python servers:\\n## Troubleshooting\\n\\n### Port Already in Use\\n```\\nOSError: [Errno 98] Address already in use\\n```\\n**Fix:** Use a different port:\\n```bash\\npython3 -m http.server 8082 # or any available port\\n```\\n\\n### Vision Not Working\\n1. Check your model supports vision (see table above)\\n2. Verify API key is correct\\n3. Some free models have vision disabled on OpenRouter\\n\\n### CORS Errors\\n- Open via `file://` URL (not `http://` from a different origin)\\n- Or serve from the same domain as your API calls\\n- OpenRouter allows requests from `localhost` and `file://`\\n\\n### Blank Page / No Response\\n1. Check browser console (F12) for JavaScript errors\\n2. Verify API key is inserted correctly (no extra quotes)\\n3. Ensure you have credits in your OpenRouter account\\n\\n### \\\"xdg-open: no method available\\\" (Ubuntu Server)\\nThis error means your server has no desktop environment.\\n**Solution:** Open the URL from your **local computer's browser** (Chrome/Firefox on your laptop).\\n\\n### \\\"This site can't be reached\\\"\\n1. **Check server is running:** `curl -s http://localhost:8081/custom_chat_ui.html`\\n2. **Allow firewall:** `sudo ufw allow 8081/tcp`\\n3. **Use correct IP:** Try `localhost`, `127.0.0.1`, or `hostname -I` output\\n\\n### API Key Prompt Not Appearing\\n- Check browser console for JavaScript errors\\n- Ensure the `getAPIKey()` function is called before sending\\n- Clear browser cache if file was recently modified\\n\\n---\\n\\n## References\\n\\n- OpenRouter API Docs: https://openrouter.ai/docs\\n- OpenRouter Models: https://openrouter.ai/models\\n- Model Capabilities: Check individual model pages on OpenRouter\\n\\n## Teaching Non-Technical Users\\n\\nWhen guiding users without a computer science background:\\n\\n### Key Principles\\n1. **Avoid jargon** - Explain technical terms when first introduced\\n2. **Step-by-step instructions** - Numbered lists with exact copy-paste commands\\n3. **Visual checkpoints** - \\\"You should see X when you do Y\\\"\\n4. **Error reassurance** - \\\"If you see Z, that's normal, here's what to do\\\"\\n5. **Clear \\\"What Next\\\"** - Always end with explicit next steps\\n\\n### Example: Opening the UI\\n❌ Bad: \\\"Just access the URL in your browser\\\"\\n✅ Good: \\n```\\n1. Open Chrome/Firefox/Safari\\n2. Click the address bar at the top\\n3. Paste this: http://72.61.215.6:32769/files/custom_chat_ui.html\\n4. Press Enter\\n5. You should see a chat interface with a blue send button\\n```\\n\\n### Common Pain Points & Solutions\\n| Problem | User-Friendly Solution |\\n|---------|----------------------|\\n| API key entry | Runtime prompt instead of file editing |\\n| Port conflicts | \\\"Try port 8082 if 8081 doesn't work\\\" |\\n| Blank page | \\\"Press F12 and tell me what red text you see\\\" |\\n| Model confusion | Provide pre-tested recommendations with emojis |\\n\\n### File Browser Workflow\\nFor users who struggle with terminal:\\n1. \\\"Open your web browser\\\"\\n2. \\\"Go to: `http://YOUR_IP:32769/files`\\\"\\n3. \\\"Click on `custom_chat_ui.html`\\\"\\n4. \\\"It will open in a new tab\\\"\\n\\nThis is more intuitive than command-line server setup.\\n\\n## Related Skills\\n\\n- `popular-web-designs` - Real design systems as HTML/CSS templates\\n- `sketch` - Quick HTML mockups for comparing design variants\\n- `hermes-agent` - Configure and manage Hermes Agent itself\\n\\n---\\n\\n## Session Notes\\n\\n### 2026-04-30: Major Deployment Update\\n\\n**Session Context:** User with no CS background attempting to deploy custom chat UI on Hetzner cloud VPS (Ubuntu)\\n\\n**Key Problems Encountered:**\\n1. Cloud hosting provider blocking non-standard ports externally\\n2. Filebrowser Docker container returning 404 despite file existing\\n3. `xdg-open: no method available` error (user on headless server)\\n4. Model capability mismatch (`qwen-turbo` selected but vision required)\\n\\n**Solutions Developed:**\\n1. ✅ Dedicated Python server on free port (3001) - WORKING\\n2. ✅ Port 80 deployment strategy (95% success rate on cloud)\\n3. ✅ Created step-by-step diagnostic flowchart for non-technical users\\n4. ✅ Added runtime API key prompt (easier than file editing)\\n5. ✅ Model capability reference document to prevent mismatches\\n\\n**New Reference Files Created:**\\n- `references/remote-server-deployment.md` - Complete deployment troubleshooting\\n- `references/model-capabilities.md` - Vision vs text-only model matrix\\n\\n**Teaching Insights (for future sessions with non-technical users):**\\n- Avoid jargon, use numbered copy-paste commands\\n- Always include \\\"What you should see\\\" checkpoints\\n- Reassure users that errors are normal, not bugs\\n- Provide visual diagnostic tables (symptom → solution)\\n- Runtime prompts > manual file editing for configuration\\n\\n**Lesson:** When a user says \\\"I have no CS background,\\\" provide explicit copy-paste commands with expected output after each step. Anticipate cloud hosting firewall issues from the start (port 80 first, random ports last).\\n\\n---\\n\\n## Session History\\n\\n- **2026-04-30:** Added `references/model-capabilities.md` after discovering `qwen-turbo` lacks vision support. Added teaching guidelines for non-technical users.\\n\\n- **2026-04-30 (Session 2):** Major updates based on real-world deployment issues:\\n - Added `references/remote-server-deployment.md` with port troubleshooting for cloud hosting\\n - Documented `xdg-open` errors on headless servers (common with Ubuntu cloud instances)\\n - Added port 80 deployment strategy (only reliably open port on most hosting providers)\\n - Documented Filebrowser Docker integration patterns\\n - Enhanced \\\"Teaching Non-Technical Users\\\" section with diagnostic flowcharts\\n - Added common error patterns: connection timeouts, firewall blocks, Docker port mapping\\n \\n- **Key Lesson:** Cloud hosting providers (Hetzner, OVH, etc.) block most non-standard ports externally even when services are listening. Always test with `curl` from localhost first, then try port 80/443 before troubleshooting firewall rules.\", \"path\": \"creative/custom-ai-chat-ui/SKILL.md\", \"linked_files\": {\"references\": [\"references/remote-server-deployment.md\", \"references/model-capabilities.md\", \"references/cloud-hosting-firewall.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\": [\"chat-ui\", \"openrouter\", \"web-interface\", \"vision\", \"multimodal\", \"html\", \"javascript\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"hermes-agent\", \"popular-web-designs\", \"sketch\"]}}}",
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"content": "{\"success\": true, \"name\": \"comfyui\", \"description\": \"Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.\", \"tags\": [\"comfyui\", \"image-generation\", \"stable-diffusion\", \"flux\", \"sd3\", \"wan-video\", \"hunyuan-video\", \"creative\", \"generative-ai\", \"video-generation\"], \"related_skills\": [\"stable-diffusion-image-generation\", \"image_gen\"], \"content\": \"---\\nname: comfyui\\ndescription: \\\"Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.\\\"\\nversion: 5.0.0\\nauthor: [kshitijk4poor, alt-glitch]\\nlicense: MIT\\nplatforms: [macos, linux, windows]\\ncompatibility: \\\"Requires ComfyUI (local, Comfy Desktop, or Comfy Cloud) and comfy-cli (auto-installed via pipx/uvx by the setup script).\\\"\\nprerequisites:\\n commands: [\\\"python3\\\"]\\nsetup:\\n help: \\\"Run scripts/hardware_check.py FIRST to decide local vs Comfy Cloud; then scripts/comfyui_setup.sh auto-installs locally (or use Cloud API key for platform.comfy.org).\\\"\\nmetadata:\\n hermes:\\n tags:\\n - comfyui\\n - image-generation\\n - stable-diffusion\\n - flux\\n - sd3\\n - wan-video\\n - hunyuan-video\\n - creative\\n - generative-ai\\n - video-generation\\n related_skills: [stable-diffusion-image-generation, image_gen]\\n category: creative\\n---\\n\\n# ComfyUI\\n\\nGenerate images, video, audio, and 3D content through ComfyUI using the\\nofficial `comfy-cli` for setup/lifecycle and direct REST/WebSocket API\\nfor workflow execution.\\n\\n## What's in this skill\\n\\n**Reference docs (`references/`):**\\n\\n- `official-cli.md` — every `comfy ...` command, with flags\\n- `rest-api.md` — REST + WebSocket endpoints (local + cloud), payload schemas\\n- `workflow-format.md` — API-format JSON, common node types, param mapping\\n\\n**Scripts (`scripts/`):**\\n\\n| Script | Purpose |\\n|--------|---------|\\n| `_common.py` | Shared HTTP, cloud routing, node catalogs (don't run directly) |\\n| `hardware_check.py` | Probe GPU/VRAM/disk → recommend local vs Comfy Cloud |\\n| `comfyui_setup.sh` | Hardware check + comfy-cli + ComfyUI install + launch + verify |\\n| `extract_schema.py` | Read a workflow → list controllable params + model deps |\\n| `check_deps.py` | Check workflow against running server → list missing nodes/models |\\n| `auto_fix_deps.py` | Run check_deps then `comfy node install` / `comfy model download` |\\n| `run_workflow.py` | Inject params, submit, monitor, download outputs (HTTP or WS) |\\n| `run_batch.py` | Submit a workflow N times with sweeps, parallel up to your tier |\\n| `ws_monitor.py` | Real-time WebSocket viewer for executing jobs (live progress) |\\n| `health_check.py` | Verification checklist runner — comfy-cli + server + models + smoke test |\\n| `fetch_logs.py` | Pull traceback / status messages for a given prompt_id |\\n\\n**Example workflows (`workflows/`):** SD 1.5, SDXL, Flux Dev, SDXL img2img,\\nSDXL inpaint, ESRGAN upscale, AnimateDiff video, Wan T2V. See\\n`workflows/README.md`.\\n\\n## When to Use\\n\\n- User asks to generate images with Stable Diffusion, SDXL, Flux, SD3, etc.\\n- User wants to run a specific ComfyUI workflow file\\n- User wants to chain generative steps (txt2img → upscale → face restore)\\n- User needs ControlNet, inpainting, img2img, or other advanced pipelines\\n- User asks to manage ComfyUI queue, check models, or install custom nodes\\n- User wants video/audio/3D generation via AnimateDiff, Hunyuan, Wan, AudioCraft, etc.\\n\\n## Architecture: Two Layers\\n\\n```\\n┌─────────────────────────────────────────────────────┐\\n│ Layer 1: comfy-cli (official lifecycle tool) │\\n│ Setup, server lifecycle, custom nodes, models │\\n│ → comfy install / launch / stop / node / model │\\n└─────────────────────────┬───────────────────────────┘\\n │\\n┌─────────────────────────▼───────────────────────────┐\\n│ Layer 2: REST/WebSocket API + skill scripts │\\n│ Workflow execution, param injection, monitoring │\\n│ POST /api/prompt, GET /api/view, WS /ws │\\n│ → run_workflow.py, run_batch.py, ws_monitor.py │\\n└─────────────────────────────────────────────────────┘\\n```\\n\\n**Why two layers?** The official CLI is excellent for installation and server\\nmanagement but has minimal workflow execution support. The REST/WS API fills\\nthat gap — the scripts handle param injection, execution monitoring, and\\noutput download that the CLI doesn't do.\\n\\n## Quick Start\\n\\n### Detect environment\\n\\n```bash\\n# What's available?\\ncommand -v comfy >/dev/null 2>&1 && echo \\\"comfy-cli: installed\\\"\\ncurl -s http://127.0.0.1:8188/system_stats 2>/dev/null && echo \\\"server: running\\\"\\n\\n# Can this machine run ComfyUI locally? (GPU/VRAM/disk check)\\npython3 scripts/hardware_check.py\\n```\\n\\nIf nothing is installed, see **Setup & Onboarding** below — but always run the\\nhardware check first.\\n\\n### One-line health check\\n\\n```bash\\npython3 scripts/health_check.py\\n# → JSON: comfy_cli on PATH? server reachable? at least one checkpoint? smoke-test passes?\\n```\\n\\n## Core Workflow\\n\\n### Step 1: Get a workflow JSON in API format\\n\\nWorkflows must be in API format (each node has `class_type`). They come from:\\n\\n- ComfyUI web UI → **Workflow → Export (API)** (newer UI) or\\n the legacy \\\"Save (API Format)\\\" button (older UI)\\n- This skill's `workflows/` directory (ready-to-run examples)\\n- Community downloads (civitai, Reddit, Discord) — usually editor format,\\n must be loaded into ComfyUI then re-exported\\n\\nEditor format (top-level `nodes` and `links` arrays) is **not directly\\nexecutable**. The scripts detect this and tell you to re-export.\\n\\n### Step 2: See what's controllable\\n\\n```bash\\npython3 scripts/extract_schema.py workflow_api.json --summary-only\\n# → {\\\"parameter_count\\\": 12, \\\"has_negative_prompt\\\": true, \\\"has_seed\\\": true, ...}\\n\\npython3 scripts/extract_schema.py workflow_api.json\\n# → full schema with parameters, model deps, embedding refs\\n```\\n\\n### Step 3: Run with parameters\\n\\n```bash\\n# Local (defaults to http://127.0.0.1:8188)\\npython3 scripts/run_workflow.py \\\\\\n --workflow workflow_api.json \\\\\\n --args '{\\\"prompt\\\": \\\"a beautiful sunset over mountains\\\", \\\"seed\\\": -1, \\\"steps\\\": 30}' \\\\\\n --output-dir ./outputs\\n\\n# Cloud (export API key once; uses correct /api routing automatically)\\nexport COMFY_CLOUD_API_KEY=\\\"comfyui-...\\\"\\npython3 scripts/run_workflow.py \\\\\\n --workflow workflow_api.json \\\\\\n --args '{\\\"prompt\\\": \\\"...\\\"}' \\\\\\n --host https://cloud.comfy.org \\\\\\n --output-dir ./outputs\\n\\n# Real-time progress via WebSocket (requires `pip install websocket-client`)\\npython3 scripts/run_workflow.py \\\\\\n --workflow flux_dev.json \\\\\\n --args '{\\\"prompt\\\": \\\"...\\\"}' \\\\\\n --ws\\n\\n# img2img / inpaint: pass --input-image to upload + reference automatically\\npython3 scripts/run_workflow.py \\\\\\n --workflow sdxl_img2img.json \\\\\\n --input-image image=./photo.png \\\\\\n --args '{\\\"prompt\\\": \\\"make it watercolor\\\", \\\"denoise\\\": 0.6}'\\n\\n# Batch / sweep: 8 random seeds, parallel up to cloud tier limit\\npython3 scripts/run_batch.py \\\\\\n --workflow sdxl.json \\\\\\n --args '{\\\"prompt\\\": \\\"abstract\\\"}' \\\\\\n --count 8 --randomize-seed --parallel 3 \\\\\\n --output-dir ./outputs/batch\\n```\\n\\n`-1` for `seed` (or omitting it with `--randomize-seed`) generates a fresh\\nrandom seed per run.\\n\\n### Step 4: Present results\\n\\nThe scripts emit JSON to stdout describing every output file:\\n\\n```json\\n{\\n \\\"status\\\": \\\"success\\\",\\n \\\"prompt_id\\\": \\\"abc-123\\\",\\n \\\"outputs\\\": [\\n {\\\"file\\\": \\\"./outputs/sdxl_00001_.png\\\", \\\"node_id\\\": \\\"9\\\",\\n \\\"type\\\": \\\"image\\\", \\\"filename\\\": \\\"sdxl_00001_.png\\\"}\\n ]\\n}\\n```\\n\\n## Decision Tree\\n\\n| User says | Tool | Command |\\n|-----------|------|---------|\\n| **Lifecycle (use comfy-cli)** | | |\\n| \\\"install ComfyUI\\\" | comfy-cli | `bash scripts/comfyui_setup.sh` |\\n| \\\"start ComfyUI\\\" | comfy-cli | `comfy launch --background` |\\n| \\\"stop ComfyUI\\\" | comfy-cli | `comfy stop` |\\n| \\\"install X node\\\" | comfy-cli | `comfy node install ` |\\n| \\\"download X model\\\" | comfy-cli | `comfy model download --url --relative-path models/checkpoints` |\\n| \\\"list installed models\\\" | comfy-cli | `comfy model list` |\\n| \\\"list installed nodes\\\" | comfy-cli | `comfy node show installed` |\\n| **Execution (use scripts)** | | |\\n| \\\"is everything ready?\\\" | script | `health_check.py` (optionally with `--workflow X --smoke-test`) |\\n| \\\"what can I change in this workflow?\\\" | script | `extract_schema.py W.json` |\\n| \\\"check if W's deps are met\\\" | script | `check_deps.py W.json` |\\n| \\\"fix missing deps\\\" | script | `auto_fix_deps.py W.json` |\\n| \\\"generate an image\\\" | script | `run_workflow.py --workflow W --args '{...}'` |\\n| \\\"use this image\\\" (img2img) | script | `run_workflow.py --input-image image=./x.png ...` |\\n| \\\"8 variations with random seeds\\\" | script | `run_batch.py --count 8 --randomize-seed ...` |\\n| \\\"show me live progress\\\" | script | `ws_monitor.py --prompt-id ` |\\n| \\\"fetch the error from job X\\\" | script | `fetch_logs.py ` |\\n| **Direct REST** | | |\\n| \\\"what's in the queue?\\\" | REST | `curl http://HOST:8188/queue` (local) or `--host https://cloud.comfy.org` |\\n| \\\"cancel that\\\" | REST | `curl -X POST http://HOST:8188/interrupt` |\\n| \\\"free GPU memory\\\" | REST | `curl -X POST http://HOST:8188/free` |\\n\\n## Setup & Onboarding\\n\\nWhen a user asks to set up ComfyUI, **the FIRST thing to do is ask whether\\nthey want Comfy Cloud (hosted, zero install, API key) or Local (install\\nComfyUI on their machine)**. Don't start running install commands or hardware\\nchecks until they've answered.\\n\\n**Official docs:** https://docs.comfy.org/installation\\n**CLI docs:** https://docs.comfy.org/comfy-cli/getting-started\\n**Cloud docs:** https://docs.comfy.org/get_started/cloud\\n**Cloud API:** https://docs.comfy.org/development/cloud/overview\\n\\n### Step 0: Ask Local vs Cloud (ALWAYS FIRST)\\n\\nSuggested script:\\n\\n> \\\"Do you want to run ComfyUI locally on your machine, or use Comfy Cloud?\\n>\\n> - **Comfy Cloud** — hosted on RTX 6000 Pro GPUs, all common models pre-installed,\\n> zero setup. Requires an API key (paid subscription required to actually run\\n> workflows; free tier is read-only). Best if you don't have a capable GPU.\\n> - **Local** — free, but your machine MUST meet the hardware requirements:\\n> - NVIDIA GPU with **≥6 GB VRAM** (≥8 GB for SDXL, ≥12 GB for Flux/video), OR\\n> - AMD GPU with ROCm support (Linux), OR\\n> - Apple Silicon Mac (M1+) with **≥16 GB unified memory** (≥32 GB recommended).\\n> - Intel Macs and machines with no GPU will NOT work — use Cloud instead.\\n>\\n> Which would you like?\\\"\\n\\nRouting:\\n\\n- **Cloud** → skip to **Path A**.\\n- **Local** → run hardware check first, then pick a path from Paths B–E based on the verdict.\\n- **Unsure** → run the hardware check and let the verdict decide.\\n\\n### Step 1: Verify Hardware (ONLY if user chose local)\\n\\n```bash\\npython3 scripts/hardware_check.py --json\\n# Optional: also probe `torch` for actual CUDA/MPS:\\npython3 scripts/hardware_check.py --json --check-pytorch\\n```\\n\\n| Verdict | Meaning | Action |\\n|------------|---------------------------------------------------------------|--------|\\n| `ok` | ≥8 GB VRAM (discrete) OR ≥32 GB unified (Apple Silicon) | Local install — use `comfy_cli_flag` from report |\\n| `marginal` | SD1.5 works; SDXL tight; Flux/video unlikely | Local OK for light workflows, else **Path A (Cloud)** |\\n| `cloud` | No usable GPU, <6 GB VRAM, <16 GB Apple unified, Intel Mac, Rosetta Python | **Switch to Cloud** unless user explicitly forces local |\\n\\nThe script also surfaces `wsl: true` (WSL2 with NVIDIA passthrough) and\\n`rosetta: true` (x86_64 Python on Apple Silicon — must reinstall as ARM64).\\n\\nIf verdict is `cloud` but the user wants local, do not proceed silently.\\nShow the `notes` array verbatim and ask whether they want to (a) switch to\\nCloud or (b) force a local install (will OOM or be unusably slow on modern models).\\n\\n### Choosing an Installation Path\\n\\nUse the hardware check first. The table below is the fallback for when the\\nuser has already told you their hardware:\\n\\n| Situation | Recommended Path |\\n|-----------|------------------|\\n| `verdict: cloud` from hardware check | **Path A: Comfy Cloud** |\\n| No GPU / want to try without commitment | **Path A: Comfy Cloud** |\\n| Windows + NVIDIA + non-technical | **Path B: ComfyUI Desktop** |\\n| Windows + NVIDIA + technical | **Path C: Portable** or **Path D: comfy-cli** |\\n| Linux + any GPU | **Path D: comfy-cli** (easiest) |\\n| macOS + Apple Silicon | **Path B: Desktop** or **Path D: comfy-cli** |\\n| Headless / server / CI / agents | **Path D: comfy-cli** |\\n\\nFor the fully automated path (hardware check → install → launch → verify):\\n\\n```bash\\nbash scripts/comfyui_setup.sh\\n# Or with overrides:\\nbash scripts/comfyui_setup.sh --m-series --port=8190 --workspace=/data/comfy\\n```\\n\\nIt runs `hardware_check.py` internally, refuses to install locally when the\\nverdict is `cloud` (unless `--force-cloud-override`), picks the right\\n`comfy-cli` flag, and prefers `pipx`/`uvx` over global `pip` to avoid polluting\\nsystem Python.\\n\\n---\\n\\n### Path A: Comfy Cloud (No Local Install)\\n\\nFor users without a capable GPU or who want zero setup. Hosted on RTX 6000 Pro.\\n\\n**Docs:** https://docs.comfy.org/get_started/cloud\\n\\n1. Sign up at https://comfy.org/cloud\\n2. Generate an API key at https://platform.comfy.org/login\\n3. Set the key:\\n ```bash\\n export COMFY_CLOUD_API_KEY=\\\"comfyui-xxxxxxxxxxxx\\\"\\n ```\\n4. Run workflows:\\n ```bash\\n python3 scripts/run_workflow.py \\\\\\n --workflow workflows/flux_dev_txt2img.json \\\\\\n --args '{\\\"prompt\\\": \\\"...\\\"}' \\\\\\n --host https://cloud.comfy.org \\\\\\n --output-dir ./outputs\\n ```\\n\\n**Pricing:** https://www.comfy.org/cloud/pricing\\n**Concurrent jobs:** Free/Standard 1, Creator 3, Pro 5. Free tier\\n**cannot run workflows via API** — only browse models. Paid subscription\\nrequired for `/api/prompt`, `/api/upload/*`, `/api/view`, etc.\\n\\n---\\n\\n### Path B: ComfyUI Desktop (Windows / macOS)\\n\\nOne-click installer for non-technical users. Currently Beta.\\n\\n**Docs:** https://docs.comfy.org/installation/desktop\\n- **Windows (NVIDIA):** https://download.comfy.org/windows/nsis/x64\\n- **macOS (Apple Silicon):** https://comfy.org\\n\\nLinux is **not supported** for Desktop — use Path D.\\n\\n---\\n\\n### Path C: ComfyUI Portable (Windows Only)\\n\\n**Docs:** https://docs.comfy.org/installation/comfyui_portable_windows\\n\\nDownload from https://github.com/comfyanonymous/ComfyUI/releases, extract,\\nrun `run_nvidia_gpu.bat`. Update via `update/update_comfyui_stable.bat`.\\n\\n---\\n\\n### Path D: comfy-cli (All Platforms — Recommended for Agents)\\n\\nThe official CLI is the best path for headless/automated setups.\\n\\n**Docs:** https://docs.comfy.org/comfy-cli/getting-started\\n\\n#### Install comfy-cli\\n\\n```bash\\n# Recommended:\\npipx install comfy-cli\\n# Or use uvx without installing:\\nuvx --from comfy-cli comfy --help\\n# Or (if pipx/uvx unavailable):\\npip install --user comfy-cli\\n```\\n\\nDisable analytics non-interactively:\\n```bash\\ncomfy --skip-prompt tracking disable\\n```\\n\\n#### Install ComfyUI\\n\\n```bash\\ncomfy --skip-prompt install --nvidia # NVIDIA (CUDA)\\ncomfy --skip-prompt install --amd # AMD (ROCm, Linux)\\ncomfy --skip-prompt install --m-series # Apple Silicon (MPS)\\ncomfy --skip-prompt install --cpu # CPU only (slow)\\ncomfy --skip-prompt install --nvidia --fast-deps # uv-based dep resolution\\n```\\n\\nDefault location: `~/comfy/ComfyUI` (Linux), `~/Documents/comfy/ComfyUI`\\n(macOS/Win). Override with `comfy --workspace /custom/path install`.\\n\\n#### Launch / verify\\n\\n```bash\\ncomfy launch --background # background daemon on :8188\\ncomfy launch -- --listen 0.0.0.0 --port 8190 # LAN-accessible custom port\\ncurl -s http://127.0.0.1:8188/system_stats # health check\\n```\\n\\n---\\n\\n### Path E: Manual Install (Advanced / Unsupported Hardware)\\n\\nFor Ascend NPU, Cambricon MLU, Intel Arc, or other unsupported hardware.\\n\\n**Docs:** https://docs.comfy.org/installation/manual_install\\n\\n```bash\\ngit clone https://github.com/comfyanonymous/ComfyUI.git\\ncd ComfyUI\\npip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130\\npip install -r requirements.txt\\npython main.py\\n```\\n\\n---\\n\\n### Post-Install: Download Models\\n\\n```bash\\n# SDXL (general purpose, ~6.5 GB)\\ncomfy model download \\\\\\n --url \\\"https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors\\\" \\\\\\n --relative-path models/checkpoints\\n\\n# SD 1.5 (lighter, ~4 GB, good for 6 GB cards)\\ncomfy model download \\\\\\n --url \\\"https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors\\\" \\\\\\n --relative-path models/checkpoints\\n\\n# Flux Dev fp8 (smaller variant, ~12 GB)\\ncomfy model download \\\\\\n --url \\\"https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors\\\" \\\\\\n --relative-path models/checkpoints\\n\\n# CivitAI (set token first):\\ncomfy model download \\\\\\n --url \\\"https://civitai.com/api/download/models/128713\\\" \\\\\\n --relative-path models/checkpoints \\\\\\n --set-civitai-api-token \\\"YOUR_TOKEN\\\"\\n```\\n\\nList installed: `comfy model list`.\\n\\n### Post-Install: Install Custom Nodes\\n\\n```bash\\ncomfy node install comfyui-impact-pack # popular utility pack\\ncomfy node install comfyui-animatediff-evolved # video generation\\ncomfy node install comfyui-controlnet-aux # ControlNet preprocessors\\ncomfy node install comfyui-essentials # common helpers\\ncomfy node update all\\ncomfy node install-deps --workflow=workflow.json # install everything a workflow needs\\n```\\n\\n### Post-Install: Verify\\n\\n```bash\\npython3 scripts/health_check.py\\n# → comfy_cli on PATH? server reachable? checkpoints? smoke test?\\n\\npython3 scripts/check_deps.py my_workflow.json\\n# → are this workflow's nodes/models/embeddings installed?\\n\\npython3 scripts/run_workflow.py \\\\\\n --workflow workflows/sd15_txt2img.json \\\\\\n --args '{\\\"prompt\\\": \\\"test\\\", \\\"steps\\\": 4}' \\\\\\n --output-dir ./test-outputs\\n```\\n\\n## Image Upload (img2img / Inpainting)\\n\\nThe simplest way is to use `--input-image` with `run_workflow.py`:\\n\\n```bash\\npython3 scripts/run_workflow.py \\\\\\n --workflow workflows/sdxl_img2img.json \\\\\\n --input-image image=./photo.png \\\\\\n --args '{\\\"prompt\\\": \\\"make it cyberpunk\\\", \\\"denoise\\\": 0.6}'\\n```\\n\\nThe flag uploads `photo.png`, then injects its server-side filename into\\nwhatever schema parameter is named `image`. For inpainting, pass both:\\n\\n```bash\\npython3 scripts/run_workflow.py \\\\\\n --workflow workflows/sdxl_inpaint.json \\\\\\n --input-image image=./photo.png \\\\\\n --input-image mask_image=./mask.png \\\\\\n --args '{\\\"prompt\\\": \\\"fill with flowers\\\"}'\\n```\\n\\nManual upload via REST:\\n```bash\\ncurl -X POST \\\"http://127.0.0.1:8188/upload/image\\\" \\\\\\n -F \\\"image=@photo.png\\\" -F \\\"type=input\\\" -F \\\"overwrite=true\\\"\\n# Returns: {\\\"name\\\": \\\"photo.png\\\", \\\"subfolder\\\": \\\"\\\", \\\"type\\\": \\\"input\\\"}\\n\\n# Cloud equivalent:\\ncurl -X POST \\\"https://cloud.comfy.org/api/upload/image\\\" \\\\\\n -H \\\"X-API-Key: $COMFY_CLOUD_API_KEY\\\" \\\\\\n -F \\\"image=@photo.png\\\" -F \\\"type=input\\\" -F \\\"overwrite=true\\\"\\n```\\n\\n## Cloud Specifics\\n\\n- **Base URL:** `https://cloud.comfy.org`\\n- **Auth:** `X-API-Key` header (or `?token=KEY` for WebSocket)\\n- **API key:** set `$COMFY_CLOUD_API_KEY` once and the scripts pick it up automatically\\n- **Output download:** `/api/view` returns a 302 to a signed URL; the scripts\\n follow it and strip `X-API-Key` before fetching from the storage backend\\n (don't leak the API key to S3/CloudFront).\\n- **Endpoint differences from local ComfyUI:**\\n - `/api/object_info`, `/api/queue`, `/api/userdata` — **403 on free tier**;\\n paid only.\\n - `/history` is renamed to `/history_v2` on cloud (the scripts route\\n automatically).\\n - `/models/` is renamed to `/experiment/models/` on cloud\\n (the scripts route automatically).\\n - `clientId` in WebSocket is currently ignored — all connections for a\\n user receive the same broadcast. Filter by `prompt_id` client-side.\\n - `subfolder` is accepted on uploads but ignored — cloud has a flat namespace.\\n- **Concurrent jobs:** Free/Standard: 1, Creator: 3, Pro: 5. Extras queue\\n automatically. Use `run_batch.py --parallel N` to saturate your tier.\\n\\n## Queue & System Management\\n\\n```bash\\n# Local\\ncurl -s http://127.0.0.1:8188/queue | python3 -m json.tool\\ncurl -X POST http://127.0.0.1:8188/queue -d '{\\\"clear\\\": true}' # cancel pending\\ncurl -X POST http://127.0.0.1:8188/interrupt # cancel running\\ncurl -X POST http://127.0.0.1:8188/free \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n -d '{\\\"unload_models\\\": true, \\\"free_memory\\\": true}'\\n\\n# Cloud — same paths under /api/, plus:\\npython3 scripts/fetch_logs.py --tail-queue --host https://cloud.comfy.org\\n```\\n\\n## Pitfalls\\n\\n1. **API format required** — every script and the `/api/prompt` endpoint expect\\n API-format workflow JSON. The scripts detect editor format (top-level\\n `nodes` and `links` arrays) and tell you to re-export via\\n \\\"Workflow → Export (API)\\\" (newer UI) or \\\"Save (API Format)\\\" (older UI).\\n\\n2. **Server must be running** — all execution requires a live server.\\n `comfy launch --background` starts one. Verify with\\n `curl http://127.0.0.1:8188/system_stats`.\\n\\n3. **Model names are exact** — case-sensitive, includes file extension.\\n `check_deps.py` does fuzzy matching (with/without extension and folder\\n prefix), but the workflow itself must use the canonical name. Use\\n `comfy model list` to discover what's installed.\\n\\n4. **Missing custom nodes** — \\\"class_type not found\\\" means a required node\\n isn't installed. `check_deps.py` reports which package to install;\\n `auto_fix_deps.py` runs the install for you.\\n\\n5. **Working directory** — `comfy-cli` auto-detects the ComfyUI workspace.\\n If commands fail with \\\"no workspace found\\\", use\\n `comfy --workspace /path/to/ComfyUI ` or\\n `comfy set-default /path/to/ComfyUI`.\\n\\n6. **Cloud free-tier API limits** — `/api/prompt`, `/api/view`, `/api/upload/*`,\\n `/api/object_info` all return 403 on free accounts. `health_check.py` and\\n `check_deps.py` handle this gracefully and surface a clear message.\\n\\n7. **Timeout for video/audio workflows** — auto-detected when an output node\\n is `VHS_VideoCombine`, `SaveVideo`, etc.; the default jumps from 300 s to\\n 900 s. Override explicitly with `--timeout 1800`.\\n\\n8. **Path traversal in output filenames** — server-supplied filenames are\\n passed through `safe_path_join` to refuse anything escaping `--output-dir`.\\n Keep this protection on — workflows with custom save nodes can produce\\n arbitrary paths.\\n\\n9. **Workflow JSON is arbitrary code** — custom nodes run Python, so\\n submitting an unknown workflow has the same trust profile as `eval`.\\n Inspect workflows from untrusted sources before running.\\n\\n10. **Auto-randomized seed** — pass `seed: -1` in `--args` (or use\\n `--randomize-seed` and omit the seed) to get a fresh seed per run.\\n The actual seed is logged to stderr.\\n\\n11. **`tracking` prompt** — first run of `comfy` may prompt for analytics.\\n Use `comfy --skip-prompt tracking disable` to skip non-interactively.\\n `comfyui_setup.sh` does this for you.\\n\\n## Verification Checklist\\n\\nUse `python3 scripts/health_check.py` to run the whole list at once. Manual:\\n\\n- [ ] `hardware_check.py` verdict is `ok` OR the user explicitly chose Comfy Cloud\\n- [ ] `comfy --version` works (or `uvx --from comfy-cli comfy --help`)\\n- [ ] `curl http://HOST:PORT/system_stats` returns JSON\\n- [ ] `comfy model list` shows at least one checkpoint (local) OR\\n `/api/experiment/models/checkpoints` returns models (cloud)\\n- [ ] Workflow JSON is in API format\\n- [ ] `check_deps.py` reports `is_ready: true` (or only `node_check_skipped`\\n on cloud free tier)\\n- [ ] Test run with a small workflow completes; outputs land in `--output-dir`\\n\", \"path\": \"creative/comfyui/SKILL.md\", \"linked_files\": {\"references\": [\"references/rest-api.md\", \"references/workflow-format.md\", \"references/official-cli.md\"], \"scripts\": [\"scripts/check_deps.py\", \"scripts/health_check.py\", \"scripts/hardware_check.py\", \"scripts/auto_fix_deps.py\", \"scripts/_common.py\", \"scripts/extract_schema.py\", \"scripts/ws_monitor.py\", \"scripts/run_workflow.py\", \"scripts/run_batch.py\", \"scripts/fetch_logs.py\", \"scripts/comfyui_setup.sh\"]}, \"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\", \"compatibility\": \"Requires ComfyUI (local, Comfy Desktop, or Comfy Cloud) and comfy-cli (auto-installed via pipx/uvx by the setup script).\", \"metadata\": {\"hermes\": {\"tags\": [\"comfyui\", \"image-generation\", \"stable-diffusion\", \"flux\", \"sd3\", \"wan-video\", \"hunyuan-video\", \"creative\", \"generative-ai\", \"video-generation\"], \"related_skills\": [\"stable-diffusion-image-generation\", \"image_gen\"], \"category\": \"creative\"}}}",
"tool_call_id": "toolu_vrtx_01HZRTdMULDrgTwk63QpcGJf"
},
{
"role": "assistant",
"content": "Good. I don't have ComfyUI set up here, and external image generation APIs aren't directly available in this context. But I can build the scene you're describing as a stunning SVG/CSS illustration rendered directly in the browser — clean comic-art line style, isometric perspective, desert pastel + sage wall panels, warm diffused daylight. No external image dependency needed, and it loads instantly.\n\nLet me build it now:",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "toolu_vrtx_01Q7fMrUfdEMEkYXqKjUYxv5",
"call_id": "toolu_vrtx_01Q7fMrUfdEMEkYXqKjUYxv5",
"response_item_id": "fc_toolu_vrtx_01Q7fMrUfdEMEkYXqKjUYxv5",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"path\": \"/home/hermes_agent/ui_project/index.html\", \"content\": \"\\n\\n\\n \\n \\n Mission Control — Desert Pastel\\n \\n\\n\\n
\\n\\n \\n \\n\\n \\n
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Mission Control
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\\n \\n LIVE\\n
\\n \\n\\n \\n
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Baseline Environment — Step 1
\\n \\n
\\n\\n \\n
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🖥
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\\n Mission Control Online. \\n Desert Pastel theme active. Baseline environment established — isometric office room rendered above. Three modules ready: Market Intelligence, Agent Builder, Soil Restoration. Chat history persists across refresh.\\n