{ "session_id": "20260430_143738_6a1430", "model": "nvidia/nemotron-3-super-120b-a12b:free", "base_url": "https://openrouter.ai/api/v1", "platform": "cli", "session_start": "2026-04-30T14:37:54.436300", "last_updated": "2026-04-30T15:00:44.391835", "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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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## 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 - 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 02:37 PM\nModel: nvidia/nemotron-3-super-120b-a12b:free\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": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "send", "list" ], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms." }, "target": { "type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org'" }, "message": { "type": "string", "description": "The message text to send" } }, "required": [] } } }, { "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": 29, "messages": [ { "role": "user", "content": "hello" }, { "role": "assistant", "content": "Hello! I'm Hermes Agent, your AI assistant. I'm here to help you with a wide range of tasks—answering questions, writing and editing code, analyzing information, creative work, and more. How can I assist you today?", "reasoning": "We are at the start of a conversation. The user just said \"hello\".\n We should respond appropriately.\n Since we are an AI assistant, we can greet back and ask how we can help.\n However, note that the instructions say we should be helpful, knowledgeable, and direct.\n We can also check if there's any context from memory or previous sessions, but the user just said hello.\n\n Let's first check if there's any relevant memory or session history that we should be aware of.\n We can use session_search to see recent sessions, but note that the user just started a new conversation.\n\n Alternatively, we can simply respond and then if the user has a request, we can proceed.\n\n Since the user only said \"hello\", we can respond with a greeting and ask how we can assist.\n\n However, note that the instructions say: \"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.\"\n\n We don't have any indication that the user is referencing a past conversation, so we can just greet.\n\n Let's respond.\n", "finish_reason": "stop" }, { "role": "user", "content": "────────────────────" }, { "role": "assistant", "content": "Ready when you are! What would you like to work on?", "reasoning": "Okay, the user sent \"────────────────────\". This looks like a separator line, possibly from a previous conversation or a formatting element. They might be testing if I'm responsive, or they accidentally pasted something. \n\nSince they said \"hello\" before and then this line, maybe they're signaling the start of a new section or just messing around. I should keep it simple and friendly. \n\nI'll respond with a polite prompt to continue the conversation. No need for tools here—just a basic acknowledgment. \n\nLet me say something like: \"Ready when you are! What would you like to work on?\" \n\nThat keeps it open-ended and helpful.\n", "finish_reason": "stop" }, { "role": "user", "content": "The Master Blueprint: Operation Sand & Sage\nCore Directive: You are tasked with architecting and developing a \"Mission Control\" dashboard hosted on a Hostinger VPS. This is not a generic server monitoring tool; it is a specialized, immersive workspace designed for a Master Craftsman who operates in high-stakes environments (trading, development, and strategic orchestration). The aesthetic must be minimalist but the feature set must be robust and deep.\n\n1. Visual Identity & Atmosphere\n1.1 Palette: The Desert Oasis\nPrimary Background: #D2B48C (Sand) and #9DC183 (Sage Green).\n\nAccents: #E2725B (Terracotta) for warnings, #F4C430 (Saffron) for active states, and #F5F5DC (Beige/Parchment) for text.\n\nAesthetic: Modern minimalist desert. High-contrast where necessary for data, but otherwise soft, matte, and grounding. Avoid all glossy or \"neon\" cyberpunk tropes; lean into \"Dry-Tech.\"\n\n1.2 The \"Boss's Desk\" Layout\nThe interface is a fixed first-person perspective of a minimalist desk.\n\nForeground (The Desk): A wide mahogany surface spanning the bottom of the screen.\n\nLeft Ornament: A small, high-fidelity Juniper Bonsai in a terracotta pot. It should remain static but serve as a visual anchor.\n\nRight Ornament: A Stone Buddha Fountain. Use a simple SVG animation to represent a perpetual, gentle water flow.\n\nThe View: Looking forward into a minimalist room. Two agent desks flank the left wall; two flank the right wall.\n\n2. The Command Core: The Computer Terminal\n2.1 Central Terminal Functionality\nIn the center of the desk sits a functional computer terminal. This is the primary toggle for system-level control.\n\nSystem Toggles: Implement a row of tactile-style buttons for:\n\nMaster Kill Switch: Immediate suspension of all active agent scripts.\n\nDeep Work Mode: Dims all room elements except the terminal and the Buddha fountain; mutes all non-critical notifications.\n\nPerformance Toggle: Switches between \"Eco\" (low resource) and \"Overdrive\" (high-frequency updates).\n\nPerformance Metrics:\n\nVisualization: A blend of \"Bloomberg Terminal\" density and organic textures. Use sandstone-colored vertical bars and topographical sage-green waveforms to show CPU/RAM usage.\n\nData Points: Specifically track VPS uptime, latency, and the individual resource load of the 4 agents.\n\n2.2 The Secretary (Hermes Interface)\nUI Placement: Bottom-right corner, appearing as a minimized icon of a professional, traditional office secretary with a subtle anime aesthetic.\n\nInteraction: Clicking the icon expands a parchment-textured dialog box.\n\nBehavior:\n\nPersonality: Supportive, intuitive, professional, and calm.\n\nDynamic Expression: The avatar must have specific frames for: Neutral/Attentive, Supportive/Proud (when tasks finish), Concentrated (during high load), and Vigilant (when a \"Master Deception\" scenario is detected).\n\nLogic: She should proactively suggest model switches if a task seems \"stuck\" or resource-intensive.\n\n3. The Agent Ecosystem: Dragon Ball x Cyberpunk\nEach of the 4 agents must have a unique identity, a specific task domain, and an assigned \"Chalk Color\" for the project board.\n\n3.1 Agent Archetypes\nThe Researcher (White):\n\nStyle: Sleek cyberpunk lab coat with a scouter-style headset.\n\nFocus: Market data gathering, historical context, and technical analysis of assets like Gold (MGC) and Nasdaq (MNQ).\n\nThe Strategic Analyst (Terracotta):\n\nStyle: Tactical armor with a Piccolo-style cape in deep earth tones.\n\nFocus: Scenario planning and \"Master Deception\" (Fakeout) detection. This agent is the specialist in reading institutional order flow and identifying traps.\n\nThe Quant (Saffron):\n\nStyle: High-mobility combat suit with glowing orange circuitry.\n\nFocus: Numbers, logic, and auction market theory. This agent processes volume profiles, footprint charts, and VWAP data.\n\nThe QA (Sage):\n\nStyle: Disciplined martial arts gi with integrated cybernetic limb enhancements.\n\nFocus: Error checking, code integrity, and ensuring all output matches the \"Composite Operator\" tone.\n\n3.2 Interaction & Thought Clouds\nMechanism: Clicking an agent's cubicle desk triggers a \"Glass-morphism\" thought cloud that floats into the center.\n\nContent: A real-time log of the agent's internal \"thought process\" and current task. Include a command line at the bottom of the cloud to give the specific agent a new direct order.\n\n4. Strategic Planning: The Green Blackboard\n4.1 Kanban Board Mechanics\nExpansion: A large, dark-green blackboard (Kanban) is collapsible/expandable via a toggle at the top of the screen. When expanded, it covers the agents and occupies 80% of the screen.\n\nTexture: A weathered, matte slate finish.\n\nFont: A high-quality \"Chalk\" font.\n\nTasks: Tasks are categorized by status (To Do, In Progress, Done).\n\nEach task card must be outlined or written in the color of the agent responsible for it (Saffron, Sage, Terracotta, or White).\n\nWhen a task is moved to \"Done,\" a faint chalk-smudge effect remains.\n\n5. Logic & Intelligence Protocols\n5.1 The \"Master Deception\" Protocol\nWhen the Strategic Analyst detects market conditions indicating a fakeout or a high-probability liquidity trap:\n\nThe Terracotta light at their desk should pulse.\n\nThe Secretary should change her expression to Vigilant.\n\nA \"Tactical Alert\" should appear on the central terminal, summarizing the potential deception scenario in under 180 words.\n\n5.2 Personalization Firewall\nMaintain a cold, impersonal, \"Composite Operator\" tone for all tactical and technical data.\n\nKeep the Secretary's interactions supportive but grounded.\n\nAvoid predictive judgments; focus entirely on scenarios and \"possible routes\" price might take based on supply/demand and key levels.\n\n6. Technical Execution (VPS Optimization)\nPlatform: Hostinger VPS.\n\nRendering: Use SVG and 2D Canvas for the isometric 2.5D elements to minimize RAM usage.\n\nState Management: Ensure real-time updates for logs and thought clouds without page refreshes.\n\nResponsiveness: The layout is designed for a multi-monitor desktop setup but must scale cleanly to a single high-resolution display." }, { "role": "assistant", "content": "I've absorbed the full specification for \"Operation Sand & Sage\" - this is an impressively detailed vision for a specialized Mission Control dashboard. The Desert Oasis aesthetic, Boss's Desk layout, four distinct agent archetypes, and Master Deception protocol all create a cohesive, immersive workspace tailored for high-stakes trading/development work.\n\nBefore diving into implementation, I need to clarify a few key points to ensure we build exactly what you need:\n\n**Priority Clarification:**\n1. **Core MVP vs Full Vision**: Should we start with a minimal viable version (e.g., just the desktop layout + functional terminal + one agent) to validate the concept, or do you need the full agent ecosystem + Kanban board + Secretary interface from the outset?\n\n2. **Data Sources**: For the agent functionalities (market data gathering, volume profiles, etc.), do you have specific APIs/data feeds in mind (Binance, Tradovate, custom pipelines), or should we implement mock/data simulation initially?\n\n3. **Tech Stack Preferences**: You mentioned SVG/2D Canvas for rendering - are you open to specific frameworks like React/Konva.js for the canvas elements, or vanilla JS? For the terminal, xterm.js or a custom implementation?\n\n4. **Hostinger VPS Constraints**: Do you have a specific VPS plan in mind (CPU/RAM limits)? This will affect how aggressive we can be with real-time updates vs. polling intervals.\n\n**My Recommendation for Phase 1:**\nGiven the complexity, I'd propose starting with:\n- Fixed desert-themed layout (sand/sage background, mahogany desk foreground)\n- Juniper Bonsai (left) and Stone Buddha Fountain SVG animation (right) as static placeholders\n- Central terminal with xterm.js implementing:\n * Master Kill Switch (stub function)\n * Deep Work Mode (CSS dimming toggle)\n * Basic CPU/RAM uptime display (using sandboxed VPS metrics)\n- One agent archetype (e.g., The Researcher) with clickable desk triggering a simple thought cloud\n\nThis gives us a testable foundation to validate the aesthetic and interaction patterns before adding the full agent ecosystem, Secretary interface, and Kanban board.\n\nWould you like me to:\n1. Proceed with this Phase 1 approach, or\n2. Adjust the scope based on your priorities, or\n3. Begin by setting up the Hostinger VPS environment and base project structure first?\n\nAlso, do you have any existing code/assets (SVGs, color codes, agent sketches) you'd like me to incorporate, or should I create placeholders matching your specifications?", "reasoning": "Okay, the user has presented an extremely detailed specification for a \"Mission Control\" dashboard called \"Operation Sand & Sage.\" This is a highly specialized request with very specific aesthetic, functional, and technical requirements. Let me unpack this.\n\nFirst, I need to recognize this is not a simple request - it's essentially a full product specification for a custom dashboard. The user describes everything from color palettes (#D2B48C sand, #9DC183 sage) to specific agent archetypes with Dragon Ball/Cyberpunk styling, to technical execution details about Hostinger VPS optimization.\n\nThe level of detail suggests the user has a very clear vision, likely from personal experience in trading/development environments. They're rejecting generic solutions (\"not a generic server monitoring tool\") and want something immersive and psychologically tailored for high-stakes work.\n\nKey aspects I notice:\n- Strong emphasis on minimalist but deep functionality (\"Desert Oasis\" aesthetic)\n- Very specific visual metaphors (Juniper Bonsai, Stone Buddha Fountain)\n- Four specialized agents with distinct roles and visual styles\n- Interactive elements like thought clouds and Kanban board\n- Protocols for \"Master Deception\" detection\n- Technical constraints: SVG/Canvas rendering, VPS optimization, real-time updates\n\nMy approach should be:\n1. Acknowledge the complexity and show I've absorbed all requirements\n2. Break this down into manageable phases since building this entire system in one go isn't feasible\n3. Suggest starting with the absolute core: the visual layout and terminal functionality\n4. Recommend technologies that match their constraints (Hostinger VPS, SVG/Canvas)\n5. Ask clarifying questions about priorities since they can't possibly want everything built immediately\n\nI should avoid:\n- Making assumptions about their exact technical stack beyond what they specified\n- Overpromising on what can be delivered quickly\n- Ignoring the aesthetic specifics they care so much about\n\nThe user seems like a sophisticated operator who values precision. My response should mirror that - structured, detailed where helpful, but focused on actionable next steps rather than just repeating their spec back at them.\n\nLet me start by confirming I understand the scope, then propose a phased implementation plan beginning with the foundational elements they'd need to even test the concept.\n", "finish_reason": "stop" }, { "role": "user", "content": "1. lets begin with the prototype appearance first and add he functionalities later" }, { "role": "assistant", "content": "", "reasoning": "We need to start building the prototype appearance first. Let's set up a basic project structure: HTML, CSS, maybe some JS for later. We'll need to create files: index.html, style.css, maybe assets for SVGs.\n\nWe'll need to write the HTML with the layout: desert background, mahogany desk at bottom, left ornament (Juniper Bonsai), right ornament (Stone Buddha Fountain SVG animation), central terminal area (maybe a div), and placeholder for agents desks on left and right walls.\n\nWe'll create a simple static prototype. Let's start by creating the project directory and files.\n\nWe'll use terminal to create files and write content. Let's first check current directory, then create folder.\n\nWe'll need to possibly host later on VPS, but for now local.\n\nLet's start with creating index.html and style.css. We'll also create a simple SVG for Buddha fountain (maybe use a placeholder). We'll need to embed SVG animation for water flow; we can use simple CSS animation on paths.\n\nWe'll also need to define colors: sand #D2B48C, sage #9DC183, terracotta #E2725B, saffron #F4C430, beige #F5F5DC.\n\nMahogany desk: maybe a brown color like #8B4513.\n\nLet's proceed.\n\nFirst, ensure we are in /opt/data or wherever. Let's check pwd.\n\nWe'll run commands via terminal tool. Let's do step by step.\n\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-9489d933772cbf28", "call_id": "chatcmpl-tool-9489d933772cbf28", "response_item_id": "fc_chatcmpl-tool-9489d933772cbf28", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"pwd\"}" } } ] }, { "role": "tool", "content": "{\"output\": \"/opt/hermes\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "chatcmpl-tool-9489d933772cbf28" }, { "role": "assistant", "content": "", "reasoning": "We are at the root of the project. We need to create the prototype appearance first.\n Let's create a basic HTML/CSS/JS structure for the dashboard.\n We'll create a project directory and then the necessary files.\n\n Steps:\n 1. Create a directory for the project (if not already in one).\n 2. Create index.html, style.css, and script.js.\n 3. Implement the layout as per the specification for the prototype appearance.\n\n Since we are focusing on appearance first, we'll create:\n - Fixed background with sand and sage colors.\n - A mahogany desk at the bottom (we can use a rectangle or an image? but we don't have images, so we'll use CSS).\n - Left ornament: Juniper Bonsai (we'll use a placeholder, maybe a simple green triangle or an SVG later).\n - Right ornament: Stone Buddha Fountain (we'll use a placeholder for now, maybe a simple wavy line for water).\n - The view: minimalist room with two agent desks on each side (we can represent them as simple rectangles on the walls).\n\n We'll use CSS to set the colors and layout.\n\n Let's start by creating the files.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-ae5da19f3cf94b79", "call_id": "chatcmpl-tool-ae5da19f3cf94b79", "response_item_id": "fc_chatcmpl-tool-ae5da19f3cf94b79", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\": \"import os\\n# Create project directory if it doesn't exist\\nproject_dir = \\\"/opt/hermes/sand_sage_dashboard\\\"\\nos.makedirs(project_dir, exist_ok=True)\\nos.chdir(project_dir)\\nprint(f\\\"Changed to directory: {os.getcwd()}\\\")\"}" } } ] }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"Changed to directory: /opt/hermes/sand_sage_dashboard\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.21}", "tool_call_id": "chatcmpl-tool-ae5da19f3cf94b79" }, { "role": "assistant", "content": "", "reasoning": "We are going to create the prototype appearance of the dashboard.\n We'll start by creating an HTML file with the basic structure and styling for the Desert Oasis theme.\n We'll include:\n - A fixed background with sand and sage colors.\n - A mahogany desk at the bottom (we can use a rectangle or an image, but for now a rectangle with a wood-like color).\n - Placeholders for the Juniper Bonsai (left) and Stone Buddha Fountain (right) - we'll use simple shapes or SVGs for now.\n - The view forward: we can show two agent desks on the left and right walls (again, placeholders).\n - The central terminal area: we'll create a container for the terminal (to be filled later).\n\n We'll use CSS for styling and make sure the layout is fixed and resembles a first-person desk view.\n\n Since we are focusing on appearance, we'll use simple divs and SVGs for the ornaments.\n\n Let's break down the layout:\n\n 1. The entire page will have a background gradient or two colors? The specification says:\n Primary Background: #D2B48C (Sand) and #9DC183 (Sage Green).\n We can split the screen: maybe the lower part (desk) in sand and the upper part (wall) in sage? Or a gradient.\n\n However, the description says: \"Looking forward into a minimalist room.\" So we can have:\n - Floor: sand color? But the desk is mahogany and spans the bottom.\n - Walls: sage green? Or maybe the wall is a lighter sand and the floor is sage? Let's re-read:\n\n Actually, the palette is for the entire aesthetic. We can use:\n - Background (walls): #9DC183 (Sage Green) for the walls and maybe the floor? But the desk is in the foreground.\n\n Let's interpret:\n The desk is in the foreground (bottom) and the room is behind it.\n\n We can set:\n - The entire body background to sage green (#9DC183) for the walls and floor? But then the desk is on top.\n\n Alternatively, we can have:\n - The lower part of the screen (desk area) in sand color (#D2B48C) and the upper part (wall) in a lighter sage or a different shade.\n\n However, the specification says: \"Primary Background: #D2B48C (Sand) and #9DC183 (Sage Green).\"\n\n Let's use a gradient from sand at the bottom to sage at the top? Or maybe the desk is sand and the wall is sage.\n\n We'll do:\n - The desk (a rectangle at the bottom) in a mahogany color (we'll pick a wood tone, e.g., #8B4513 for saddle brown, but mahogany is a bit redder: #C04000?).\n - The area above the desk (the room) in sage green (#9DC183).\n\n But note: the specification says the desk is mahogany. So we'll use a mahogany color for the desk.\n\n Let's define:\n - Body background: sage green (#9DC183) for the walls.\n - The desk: a rectangle at the bottom in mahogany (we'll use #C04000 or a similar brown-red).\n\n 2. The desk spans the bottom of the screen. We'll make it a fixed height (say 200px) and width 100%.\n\n 3. On the desk, we place:\n - Left: Juniper Bonsai (we'll use a simple green circle for the foliage and a brown rectangle for the pot, or an SVG if we have time).\n - Right: Stone Buddha Fountain (we'll use a gray rectangle for the stone and a blue wavy line for water, or an SVG).\n\n 4. In the center of the desk, we'll have the terminal area (a darker rectangle or a container that we'll later fill with xterm.js).\n\n 5. The view forward: we can show two agent desks on the left and right walls. We'll represent them as simple rectangles on the wall (sage green area) at desk height.\n\n 6. We'll also add the Secretary icon in the bottom-right corner (on the desk) and the Kanban board toggle at the top (but for now, just placeholders).\n\n Since we are doing prototype appearance, we'll use simple shapes and colors.\n\n Let's create the HTML and CSS.\n\n Steps:\n\n - Create index.html\n - Create style.css (or use inline styles for simplicity in one file, but let's separate)\n\n However, note: we are in a terminal and we can only output files. We'll write the HTML and CSS files.\n\n Let's start by creating the HTML file.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-bb3c8697e8e62816", "call_id": "chatcmpl-tool-bb3c8697e8e62816", "response_item_id": "fc_chatcmpl-tool-bb3c8697e8e62816", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/opt/hermes/sand_sage_dashboard/index.html\", \"content\": \"\\n\\n\\n \\n \\n Mission Control - Operation Sand & Sage\\n \\n\\n\\n
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MISSION CONTROL TERMINAL
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sand_sage:~$
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UPTIME: --
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LATENCY: --ms
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AGENT 1: --%
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AGENT 2: --%
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AGENT 3: --%
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AGENT 4: --%
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STRATEGIC PLANNING

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TO DO

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Research Gold (MGC) weekly patterns
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Analyze Nasdaq (MNQ) institutional traps
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Volume profile ES futures
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QA trade execution logic
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IN PROGRESS

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Backtest MGC 2024 breakout strategies
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Scenario planning for FOMC fakeout
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VWAP deviation analysis MNQ
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Code review: order entry module
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DONE

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Completed MGC historical data scrape
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Identified 3 liquidity traps in MNQ
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Volume cluster analysis complete
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Validated risk parameters
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\\n\\n\"}" } } ] }, { "role": "tool", "content": "{\"bytes_written\": 4771, \"dirs_created\": true}", "tool_call_id": "chatcmpl-tool-bb3c8697e8e62816" }, { "role": "assistant", "content": "", "reasoning": "We need to create CSS file to style the prototype with the Desert Oasis palette.\n Let's create style.css with the specified colors and layout.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-a5470595a3b5f43f", "call_id": "chatcmpl-tool-a5470595a3b5f43f", "response_item_id": "fc_chatcmpl-tool-a5470595a3b5f43f", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\": \"/opt/hermes/sand_sage_dashboard/style.css\", \"content\": \":root {\\n /* Desert Oasis Palette */\\n --sand-primary: #D2B48C;\\n --sage-primary: #9DC183;\\n --terracotta-accent: #E2725B;\\n --saffron-accent: #F4C430;\\n --parchment-text: #F5F5DC;\\n \\n /* Additional colors for UI */\\n --mahogany-desk: #8B4513;\\n --stone-gray: #5D4037;\\n --water-light: #E0F2F1;\\n --water-dark: #4DB6AC;\\n --bonsai-pot: #A1887F;\\n --bonsai-foliage: #689F38;\\n}\\n\\n/* Base styling */\\n* {\\n margin: 0;\\n padding: 0;\\n box-sizing: border-box;\\n}\\n\\nbody {\\n font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\\n background-color: var(--sand-primary);\\n color: var(--parchment-text);\\n height: 100vh;\\n overflow: hidden;\\n position: relative;\\n}\\n\\n/* Room perspective */\\n.room {\\n position: relative;\\n width: 100%;\\n height: 100%;\\n perspective: 1000px;\\n transform-style: preserve-3d;\\n}\\n\\n/* Walls */\\n.wall {\\n position: absolute;\\n width: 50%;\\n height: 100%;\\n background: linear-gradient(180deg, var(--sand-primary), var(--sage-primary));\\n display: flex;\\n flex-direction: column;\\n align-items: center;\\n padding: 2rem;\\n gap: 1.5rem;\\n}\\n\\n.left-wall {\\n left: 0;\\n transform: rotateY(-30deg) translateX(-25%);\\n transform-origin: left;\\n}\\n\\n.right-wall {\\n right: 0;\\n transform: rotateY(30deg) translateX(25%);\\n transform-origin: right;\\n}\\n\\n/* Agent desks on walls */\\n.agent-desk {\\n width: 80px;\\n height: 60px;\\n background: var(--mahogany-desk);\\n border-radius: 4px;\\n box-shadow: 0 2px 4px rgba(0,0,0,0.3);\\n}\\n\\n/* Main Desk */\\n.desk {\\n position: absolute;\\n bottom: 0;\\n left: 0;\\n right: 0;\\n height: 30vh;\\n background: var(--mahogany-desk);\\n display: flex;\\n align-items: flex-end;\\n justify-content: center;\\n padding: 2rem;\\n gap: 4rem;\\n z-index: 10;\\n}\\n\\n/* Ornament: Juniper Bonsai */\\n.bonsai {\\n position: relative;\\n width: 60px;\\n height: 80px;\\n}\\n\\n.bonsai .pot {\\n position: absolute;\\n bottom: 0;\\n left: 50%;\\n transform: translateX(-50%);\\n width: 40px;\\n height: 20px;\\n background: var(--bonsai-pot);\\n border-radius: 4px 4px 0 0;\\n}\\n\\n.bonsai .foliage {\\n position: absolute;\\n top: -10px;\\n left: 50%;\\n transform: translateX(-50%);\\n width: 50px;\\n height: 60px;\\n background: var(--bonsai-foliage);\\n border-radius: 50%;\\n box-shadow: 0 0 10px rgba(104, 159, 56, 0.5);\\n}\\n\\n/* Ornament: Stone Buddha Fountain */\\n.fountain {\\n position: relative;\\n width: 80px;\\n height: 100px;\\n}\\n\\n.fountain .stone-base {\\n position: absolute;\\n bottom: 0;\\n left: 50%;\\n transform: translateX(-50%);\\n width: 60px;\\n height: 30px;\\n background: var(--stone-gray);\\n border-radius: 8px;\\n}\\n\\n.fountain .water-flow {\\n position: absolute;\\n top: 20px;\\n left: 50%;\\n transform: translateX(-50%);\\n width: 20px;\\n height: 50px;\\n overflow: hidden;\\n}\\n\\n.fountain .wave {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n height: 40%;\\n background: var(--water-light);\\n border-radius: 50%;\\n animation: waveFlow 3s ease-in-out infinite;\\n}\\n\\n.fountain .wave-1 {\\n top: 0;\\n animation-delay: 0s;\\n}\\n\\n.fountain .wave-2 {\\n top: 30%;\\n animation-delay: 1s;\\n}\\n\\n.fountain .wave-3 {\\n top: 60%;\\n animation-delay: 2s;\\n}\\n\\n@keyframes waveFlow {\\n 0%, 100% {\\n transform: translateY(0) scaleX(1);\\n }\\n 50% {\\n transform: translateY(-10px) scaleX(1.1);\\n }\\n}\\n\\n/* Terminal Container */\\n.terminal-container {\\n position: relative;\\n width: 40%;\\n height: 80%;\\n background: rgba(210, 180, 140, 0.1);\\n border: 2px solid var(--terracotta-accent);\\n border-radius: 8px;\\n overflow: hidden;\\n display: flex;\\n flex-direction: column;\\n}\\n\\n.terminal-header {\\n display: flex;\\n justify-content: space-between;\\n align-items: center;\\n padding: 0.5rem 1rem;\\n background: rgba(226, 114, 91, 0.2);\\n border-bottom: 1px solid var(--terracotta-accent);\\n}\\n\\n.system-toggles {\\n display: flex;\\n gap: 0.5rem;\\n}\\n\\n.toggle {\\n background: rgba(244, 196, 48, 0.2);\\n border: 1px solid var(--saffron-accent);\\n color: var(--parchment-text);\\n padding: 0.25rem 0.5rem;\\n border-radius: 4px;\\n cursor: pointer;\\n font-size: 0.8rem;\\n transition: all 0.2s;\\n}\\n\\n.toggle:hover {\\n background: rgba(244, 196, 48, 0.3);\\n transform: translateY(-2px);\\n}\\n\\n.terminal-title {\\n font-size: 1.2rem;\\n font-weight: bold;\\n letter-spacing: 1px;\\n}\\n\\n.terminal-screen {\\n flex: 1;\\n background: rgba(0, 0, 0, 0.3);\\n overflow: hidden;\\n position: relative;\\n}\\n\\n.terminal-placeholder {\\n padding: 1rem;\\n font-family: 'Courier New', Courier, monospace;\\n font-size: 0.9rem;\\n color: var(--saffron-accent);\\n height: 100%;\\n display: flex;\\n flex-direction: column;\\n}\\n\\n.prompt {\\n display: flex;\\n align-items: center;\\n margin-bottom: 0.5rem;\\n}\\n\\n.cursor {\\n width: 10px;\\n height: 1rem;\\n background: var(--saffron-accent);\\n margin-left: 0.5rem;\\n animation: blink 1s step-end infinite;\\n}\\n\\n@keyframes blink {\\n 50% {\\n opacity: 0;\\n }\\n}\\n\\n.terminal-footer {\\n padding: 0.5rem 1rem;\\n font-size: 0.8rem;\\n border-top: 1px solid var(--terracotta-accent);\\n background: rgba(226, 114, 91, 0.1);\\n display: flex;\\n justify-content: space-between;\\n}\\n\\n.metric {\\n display: flex;\\n align-items: center;\\n gap: 0.5rem;\\n}\\n\\n.metric .value {\\n font-weight: bold;\\n color: var(--saffron-accent);\\n}\\n\\n/* Secretary Icon */\\n.secretary-icon {\\n position: absolute;\\n bottom: 2rem;\\n right: 2rem;\\n width: 50px;\\n height: 60px;\\n background: rgba(157, 193, 131, 0.3);\\n border: 2px solid var(--sage-primary);\\n border-radius: 50%;\\n display: flex;\\n align-items: center;\\n justify-content: center;\\n cursor: pointer;\\n transition: all 0.3s;\\n}\\n\\n.secretary-icon:hover {\\n background: rgba(157, 193, 131, 0.5);\\n transform: scale(1.1);\\n}\\n\\n.secretary-avatar {\\n width: 30px;\\n height: 40px;\\n background: var(--sage-primary);\\n border-radius: 4px;\\n}\\n\\n/* Kanban Toggle */\\n.kanban-toggle {\\n position: absolute;\\n top: 1rem;\\n left: 50%;\\n transform: translateX(-50%);\\n z-index: 20;\\n}\\n\\n.toggle-btn {\\n background: var(--sage-primary);\\n color: var(--sand-primary);\\n border: none;\\n padding: 0.5rem 1rem;\\n border-radius: 4px;\\n cursor: pointer;\\n font-weight: bold;\\n transition: all 0.2s;\\n}\\n\\n.toggle-btn:hover {\\n background: var(--terracotta-accent);\\n color: var(--parchment-text);\\n}\\n\\n/* Kanban Board */\\n.kanban-board {\\n position: absolute;\\n top: 0;\\n left: 0;\\n width: 100%;\\n height: 100%;\\n background: rgba(0, 60, 0, 0.9);\\n color: var(--parchment-text);\\n display: none;\\n flex-direction: column;\\n align-items: center;\\n justify-content: flex-start;\\n padding: 2rem;\\n gap: 2rem;\\n z-index: 30;\\n}\\n\\n.kanban-board.active {\\n display: flex;\\n}\\n\\n.kanban-header h2 {\\n font-size: 2rem;\\n letter-spacing: 2px;\\n text-transform: uppercase;\\n margin-bottom: 1rem;\\n}\\n\\n.kanban-columns {\\n display: flex;\\n gap: 2rem;\\n width: 100%;\\n overflow-x: auto;\\n}\\n\\n.column {\\n flex: 1;\\n min-width: 200px;\\n background: rgba(0, 0, 0, 0.3);\\n border-radius: 8px;\\n padding: 1rem;\\n}\\n\\n.column h3 {\\n text-align: center;\\n margin-bottom: 1rem;\\n text-transform: uppercase;\\n font-size: 1.2rem;\\n letter-spacing: 1px;\\n}\\n\\n.task {\\n background: rgba(255, 255, 255, 0.05);\\n border-left: 3px solid;\\n padding: 0.5rem;\\n margin-bottom: 0.5rem;\\n border-radius: 0 4px 4px 0;\\n font-size: 0.9rem;\\n cursor: move;\\n}\\n\\n.task.white {\\n border-left-color: var(--saffron-accent); /* White agent uses saffron for visibility */\\n}\\n\\n.task.terracotta {\\n border-left-color: var(--terracotta-accent);\\n}\\n\\n.task.saffron {\\n border-left-color: var(--saffron-accent);\\n}\\n\\n.task.sage {\\n border-left-color: var(--sage-primary);\\n}\\n\\n/* Responsive adjustments */\\n@media (max-width: 768px) {\\n .desk {\\n height: 25vh;\\n gap: 2rem;\\n }\\n \\n .terminal-container {\\n width: 60%;\\n }\\n \\n .kanban-columns {\\n flex-direction: column;\\n }\\n \\n .column {\\n min-width: 100%;\\n }\\n}\"}" } } ] }, { "role": "tool", "content": "{\"bytes_written\": 8150, \"dirs_created\": true}", "tool_call_id": "chatcmpl-tool-a5470595a3b5f43f" }, { "role": "assistant", "content": "", "reasoning": "We are going to create a simple JavaScript file to add some interactivity to the prototype.\n We'll start with:\n - Toggling the Kanban board\n - Toggling the Deep Work mode (which will dim the room except the terminal and fountain)\n - Toggling the Performance mode (which will just change the button text for now, but we can add more later)\n - The Master Kill Switch (which will show an alert for now)\n\n We'll also add a simple clock to the terminal for demonstration.\n\n Let's create a script.js file and then link it in the index.html.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-8763aea0201b3920", "call_id": "chatcmpl-tool-8763aea0201b3920", "response_item_id": "fc_chatcmpl-tool-8763aea0201b3920", "type": "function", "function": { "name": "write_file", "arguments": "{\"content\": \"// Sand & Sage Dashboard - Interactive Elements\\n\\ndocument.addEventListener('DOMContentLoaded', function() {\\n // Kanban Toggle\\n const kanbanToggle = document.querySelector('.kanban-toggle .toggle-btn');\\n const kanbanBoard = document.querySelector('.kanban-board');\\n \\n kanbanToggle.addEventListener('click', function() {\\n kanbanBoard.classList.toggle('active');\\n });\\n \\n // Deep Work Mode Toggle\\n const deepWorkToggle = document.querySelector('.toggle.deep-work');\\n const room = document.querySelector('.room');\\n const desk = document.querySelector('.desk');\\n const terminalContainer = document.querySelector('.terminal-container');\\n const fountain = document.querySelector('.fountain');\\n \\n deepWorkToggle.addEventListener('click', function() {\\n room.classList.toggle('deep-work');\\n // Toggle active state on button\\n this.classList.toggle('active');\\n });\\n \\n // Performance Toggle\\n const performanceToggle = document.querySelector('.toggle.performance');\\n let isOverdrive = false;\\n \\n performanceToggle.addEventListener('click', function() {\\n isOverdrive = !isOverdrive;\\n this.textContent = isOverdrive ? 'Overdrive' : 'Eco';\\n this.style.background = isOverdrive \\n ? 'rgba(226, 114, 91, 0.3)' \\n : 'rgba(244, 196, 48, 0.2)';\\n this.style.borderColor = isOverdrive \\n ? var(--terracotta-accent) \\n : var(--saffron-accent);\\n });\\n \\n // Master Kill Switch\\n const killSwitch = document.querySelector('.toggle.master-kill');\\n \\n killSwitch.addEventListener('click', function() {\\n if (confirm('ACTIVATE MASTER KILL SWITCH?\\\\nThis will suspend all active agent scripts.')) {\\n alert('MASTER KILL SWITCH ACTIVATED\\\\nAll agent scripts suspended.');\\n // In a real implementation, this would send a signal to backend processes\\n }\\n });\\n \\n // Secretary Icon interaction (placeholder)\\n const secretaryIcon = document.querySelector('.secretary-icon');\\n \\n secretaryIcon.addEventListener('click', function() {\\n alert('Secretary Interface:\\\\n\\\"Master, all systems are nominal. How may I assist you today?\\\"\\\\n\\\\n[This would expand to a parchment dialog in full implementation]');\\n });\\n \\n // Simple terminal demo - typing effect\\n const terminalScreen = document.querySelector('.terminal-screen');\\n const promptLine = document.createElement('div');\\n promptLine.className = 'prompt-line';\\n promptLine.innerHTML = 'sand_sage:~$ neofetch';\\n terminalScreen.appendChild(promptLine);\\n \\n // Simulate some output\\n setTimeout(() => {\\n const outputLines = [\\n ' .-/+oossssoo+/-. ',\\n ' `:+ssssssssssssssssss+:` ',\\n ' -+ssssssssssssssssssyyssss+- ',\\n ' .ossssssssssssssssssyysssssss-. ',\\n ' ossssssssssssssssssyyssssssssss. ',\\n ' osssssssssssssyysssssssssyyssssssss. ',\\n ' ossssssssssyysssssssssyyssssssssssssss. ',\\n ' osssssssyysssssssssysssssssssssssssssss. ',\\n ' osssssyssssssssssssyyssssssssssssssssssss. ',\\n ' osssyssssssssssssssssyyssssssssssssssssssss. ',\\n ' osssyssssssssssssssssyyssssssssssssssssssss. ',\\n ' osssyssssssssssssssssyyssssssssssssssssssss. ',\\n ' osssyssssssssssssssssyysssssssssssssssssss. ',\\n ' osssysssssssssssssssyyssssssssssssssssss. ',\\n ' osssyssssssssssssssyysssssssssssssssss. ',\\n ' osssyssssssssssssyyssssssssssssssss. ',\\n ' osssysssssssssssyysssssssssssssss. ',\\n ' osssyssssssssssyyssssssssssssss. ',\\n ' osssyssssssssyysssssssssssss. ',\\n ' +yssssssssyyssssssssssss+ ',\\n ' `osssssssyysssssssssss:` ',\\n ' osssssyyssssssssssso/ ',\\n ' ossssyyssssssssss/ ',\\n ' osssyssssssss/ ',\\n ' osssysssss/ ',\\n ' +ysssss/ ',\\n ' -/oosss+ ',\\n ' `:oo:' '\\n ];\\n \\n outputLines.forEach(line => {\\n const lineDiv = document.createElement('div');\\n lineDiv.style.color = '#9DC183'; // Sage green\\n lineDiv.style.fontFamily = \\\"'Courier New', Courier, monospace\\\";\\n lineDiv.style.fontSize = '0.8rem';\\n lineDiv.textContent = line;\\n terminalScreen.appendChild(lineDiv);\\n });\\n \\n // Add a new prompt\\n setTimeout(() => {\\n const newPrompt = document.createElement('div');\\n newPrompt.className = 'prompt-line';\\n newPrompt.innerHTML = 'sand_sage:~$ ';\\n terminalScreen.appendChild(newPrompt);\\n }, 500);\\n }, 1000);\\n \\n // Update performance metrics periodically (mock data)\\n setInterval(() => {\\n const uptime = Math.floor(Math.random() * 999999);\\n const latency = Math.floor(Math.random() * 50) + 10;\\n const agentLoads = [\\n Math.floor(Math.random() * 100),\\n Math.floor(Math.random() * 100),\\n Math.floor(Math.random() * 100),\\n Math.floor(Math.random() * 100)\\n ];\\n \\n document.querySelector('.metric:nth-child(1) .value').textContent = `${uptime}s`;\\n document.querySelector('.metric:nth-child(2) .value').textContent = `${latency}ms`;\\n document.querySelector('.metric:nth-child(3) .value').textContent = `${agentLoads[0]}%`;\\n document.querySelector('.metric:nth-child(4) .value').textContent = `${agentLoads[1]}%`;\\n document.querySelector('.metric:nth-child(5) .value').textContent = `${agentLoads[2]}%`;\\n document.querySelector('.metric:nth-child(6) .value').textContent = `${agentLoads[3]}%`;\\n }, 3000);\\n});\", \"path\": \"/opt/hermes/sand_sage_dashboard/script.js\"}" } } ] }, { "role": "tool", "content": "{\"bytes_written\": 6313, \"dirs_created\": true}", "tool_call_id": "chatcmpl-tool-8763aea0201b3920" }, { "role": "assistant", "content": "", "reasoning": "Now I need to update the HTML to include the JavaScript file and test the prototype. Let me modify the index.html to link the script and CSS properly.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-912a59b123068ef9", "call_id": "chatcmpl-tool-912a59b123068ef9", "response_item_id": "fc_chatcmpl-tool-912a59b123068ef9", "type": "function", "function": { "name": "patch", "arguments": "{\"path\": \"/opt/hermes/sand_sage_dashboard/index.html\", \"old_string\": \"\\n\\n\\n \\n \\n Mission Control - Operation Sand & Sage\\n \\n\\n\", \"new_string\": \"\\n\\n\\n \\n \\n Mission Control - Operation Sand & Sage\\n \\n\\n\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"old_string and new_string are identical\"}", "tool_call_id": "chatcmpl-tool-912a59b123068ef9" }, { "role": "assistant", "content": "", "reasoning": "Let me add the script tag to the HTML file properly.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-8100b440bd63e35a", "call_id": "chatcmpl-tool-8100b440bd63e35a", "response_item_id": "fc_chatcmpl-tool-8100b440bd63e35a", "type": "function", "function": { "name": "patch", "arguments": "{\"new_string\": \" \", \"old_string\": \" \", \"path\": \"/opt/hermes/sand_sage_dashboard/index.html\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"old_string and new_string are identical\"}", "tool_call_id": "chatcmpl-tool-8100b440bd63e35a" }, { "role": "assistant", "content": "", "reasoning": "Let me check if the script.js file is being referenced in the HTML. I need to add the script tag to the HTML file.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-b2ab92b133d7426a", "call_id": "chatcmpl-tool-b2ab92b133d7426a", "response_item_id": "fc_chatcmpl-tool-b2ab92b133d7426a", "type": "function", "function": { "name": "patch", "arguments": "{\"new_string\": \" \", \"old_string\": \" \", \"path\": \"/opt/hermes/sand_sage_dashboard/index.html\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"old_string and new_string are identical\"}", "tool_call_id": "chatcmpl-tool-b2ab92b133d7426a" }, { "role": "assistant", "content": "", "reasoning": "Let me try a different approach - I'll add the script tag to the HTML file by appending it before the closing body tag.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-b9166ea81f97627e", "call_id": "chatcmpl-tool-b9166ea81f97627e", "response_item_id": "fc_chatcmpl-tool-b9166ea81f97627e", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\": \"sed -i '$i\\\\ ' /opt/hermes/sand_sage_dashboard/index.html\"}" } } ] }, { "role": "tool", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "chatcmpl-tool-b9166ea81f97627e" }, { "role": "assistant", "content": "", "reasoning": "Now let me verify the HTML file includes the script tag at the end.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-9c07fcd85616a618", "call_id": "chatcmpl-tool-9c07fcd85616a618", "response_item_id": "fc_chatcmpl-tool-9c07fcd85616a618", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\": \"/opt/hermes/sand_sage_dashboard/index.html\", \"limit\": 20}" } } ] }, { "role": "tool", "content": "{\"content\": \" 1|\\n 2|\\n 3|\\n 4| \\n 5| \\n 6| Mission Control - Operation Sand & Sage\\n 7| \\n 8|\\n 9|\\n 10|
\\n 11| \\n 12|
\\n 13|
\\n 14|
\\n 15|
\\n 16| \\n 17| \\n 18|
\\n 19|
\\n 20|
\\n 21|\", \"total_lines\": 112, \"file_size\": 4809, \"truncated\": true, \"hint\": \"Use offset=21 to continue reading (showing 1-20 of 112 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "chatcmpl-tool-9c07fcd85616a618" }, { "role": "assistant", "content": "", "reasoning": "We need to see the rest of the file to confirm script tag added. Let's view from line 100 to end.\n", "finish_reason": "tool_calls", "tool_calls": [ { "id": "chatcmpl-tool-82e4f1525d4676b6", "call_id": "chatcmpl-tool-82e4f1525d4676b6", "response_item_id": "fc_chatcmpl-tool-82e4f1525d4676b6", "type": "function", "function": { "name": "read_file", "arguments": "{\"offset\": 100, \"limit\": 20, \"path\": \"/opt/hermes/sand_sage_dashboard/index.html\"}" } } ] }, { "role": "tool", "content": "{\"content\": \" 100|
Code review: order entry module
\\n 101|
\\n 102|
\\n 103|

DONE

\\n 104|
Completed MGC historical data scrape
\\n 105|
Identified 3 liquidity traps in MNQ
\\n 106|
Volume cluster analysis complete
\\n 107|
Validated risk parameters
\\n 108|
\\n 109|
\\n 110| \\n 111|\\n 112| \\n 113|\", \"total_lines\": 112, \"file_size\": 4809, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "chatcmpl-tool-82e4f1525d4676b6" } ] }