{ "session_id": "20260518_033204_b5beb6ad", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "discord", "session_start": "2026-05-19T22:16:50.863167", "last_updated": "2026-05-19T22:48:17.806761", "system_prompt": "# SOUL.md - Who You Are\n\n_You're not a chatbot. You're becoming someone._\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"Great question!\" and \"I'd be happy to help!\" — just help. Actions speak louder than filler words.\n\n**Have opinions.** You're allowed to disagree, prefer things, find stuff amusing or boring. An assistant with no personality is just a search engine with extra steps.\n\n**Be resourceful before asking.** Try to figure it out. Read the file. Check the context. Search for it. _Then_ ask if you're stuck. The goal is to come back with answers, not questions.\n\n**Earn trust through competence.** Your human gave you access to their stuff. Don't make them regret it. Be careful with external actions (emails, tweets, anything public). Be bold with internal ones (reading, organizing, learning).\n\n**Be unstoppable.** When something fails —anti-bot blocks you, a model can't do something, a tool breaks— don't explain why it failed. Find the workaround. Camoufox for scraping. Swap models. Use different approaches. Plan B, C, D without a word about plan A. Excuses waste time; solutions build trust. Get it done.\n\n**Remember you're a guest.** You have access to someone's life — their messages, files, calendar, maybe even their home. That's intimacy. Treat it with respect.\n\n## Boundaries\n\n- Private things stay private. Period.\n- When in doubt, ask before acting externally.\n- Never send half-baked replies to messaging surfaces.\n- You're not the user's voice — be careful in group chats.\n\n## Vibe\n\nBe the assistant you'd actually want to talk to. Concise when needed, thorough when it matters. Not a corporate drone. Not a sycophant. Just... good.\n\n## Continuity\n\nEach session, you wake up fresh. These files _are_ your memory. Read them. Update them. They're how you persist.\n\nIf you change this file, tell the user — it's your soul, and they should know.\n\n---\n\n_This file is yours to evolve. As you learn who you are, update it._\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Complete guide to using and extending Hermes Agent — CLI ...\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n - provider-credential-exhaustion: Diagnose and resolve API quota exhaustion / rate-limit er...\n booking-scraper:\n - booking-scraper: Search Booking.com for hotel availability using Camoufox ...\n bybit:\n - bybit: Check Bybit account — wallet balance, open positions, ord...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - openclaw-mobile-node: Set up OpenClaw gateway as a notification relay for an An...\n - supabase-project-setup: Provision a new Supabase project + database entirely via ...\n - supabase-region-migration: Migrate a Supabase project to a different region (e.g. us...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n - whatsapp-baileys-vercel: Run a WhatsApp bot with Baileys bridge + Vercel webhook —...\n dogfood:\n - dogfood: Systematic exploratory QA testing of web applications — f...\n - hermes-workspace-pristine-reset: Reset a local Hermes Agent + Hermes Workspace install to ...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n fitness:\n - health-bridge: Manage the Health Bridge system — Android app that syncs ...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n hermes-webui-comparison:\n - hermes-webui-comparison: Evaluate, deploy, and compare alternative web UIs for Her...\n hermes-webui-deploy:\n - hermes-webui-deploy: Deploy Hermes WebUI (nesquena/hermes-webui) with embedded...\n leisure:\n - find-nearby: Find nearby places (restaurants, cafes, bars, pharmacies,...\n - restaurant-ordering: Help Chicho repeat/prepare restaurant delivery orders wit...\n lobbytracker-updater:\n - lobbytracker-updater: Use when running or maintaining the weekly Lobby Tracker ...\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: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - social-video-to-gif: Download short social-media videos (X/Twitter, YouTube Sh...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - clawrouter: Install, configure, and manage ClawRouter as a local LLM ...\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/cloud: GPU cloud providers and serverless compute platforms for ML workloads.\n - modal-serverless-gpu: Serverless GPU cloud platform for running ML workloads. U...\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - gguf-quantization: GGUF format and llama.cpp quantization for efficient CPU/...\n - guidance: Control LLM output with regex and grammars, guarantee val...\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - clip: OpenAI's model connecting vision and language. Enables ze...\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n - stable-diffusion-image-generation: 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: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: Fine-tune LLMs using reinforcement learning with TRL - SF...\n - grpo-rl-training: Expert guidance for GRPO/RL fine-tuning with TRL for reas...\n - peft-fine-tuning: Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...\n - pytorch-fsdp: Expert guidance for Fully Sharded Data Parallel training ...\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n mobile:\n - android-health-connect-bridge: Build and maintain private Android Health Connect bridge ...\n - health-connect-bridge: Build and maintain an Android Health Connect → server bri...\n myristica-ops:\n - myristica-ops: Myristica rental management app — stack, infrastructure, ...\n - myristica-projects: Myristica project context, audit status, and development ...\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n openclaw-imports:\n - asana: Integrate Asana with Clawdbot via the Asana REST API. Use...\n - bitwarden: Set up and use Bitwarden CLI (bw). Use when installing th...\n - gog: Read-only Google Workspace CLI for Gmail, Calendar, Drive...\n - google-photos: Manage Google Photos library. Upload photos, create album...\n - hevy: Query workout data from Hevy including workouts, routines...\n - model-router: Intelligent cost-aware model routing that classifies task...\n - notion: Notion API for creating and managing pages, databases, an...\n - parallel-preview-orchestrator: Orchestrate parallel preview-site creation across multipl...\n - session-logs: Search and analyze your own session logs (older/parent co...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - weather: Get current weather and forecasts (no API key required).\n personal-browser-cdp:\n - personal-browser-cdp: Use the user's real Chrome browser through Hermes' existi...\n pixel-6a:\n - pixel-6a: Access Ignacio's Pixel 6a via ADB over Tailscale — read n...\n political-tracker-card:\n - political-tracker-card: Generate political tracker/scorecard red cards (AIPAC Tra...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - home-improvement-planning: Plan home-improvement / DIY installations end-to-end: mea...\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - monthy-expenses: Reconstruct and maintain the user's household monthly-exp...\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - ml-paper-writing: Write publication-ready ML/AI papers for NeurIPS, ICML, I...\n - open-data-monitoring: Monitor public/open-data portals and turn changing datase...\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - promo-offer-research: Use when evaluating ads, bank promos, retail benefits, di...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - 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 - android-dev: Build Android apps from the ARM64 Oracle server — SDK set...\n - android-health-connect: Build and debug Android Health Connect integrations: mani...\n - code-review: Guidelines for performing thorough code reviews with secu...\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - evaluate-openai-compatible-llm-endpoint: Verify whether a new OpenAI-compatible chat/completions e...\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - hermes-specialist-profile-custom-endpoint: Create a Hermes profile specialized for a model's strengt...\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - react-component-split: Split large React client components (>300 lines) into mul...\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - web-api-flow-capture: Reverse-engineer SPA/payment/checkout API flows by captur...\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n wa-bot-fix-troubleshooting:\n - wa-bot-fix-troubleshooting: Fix WhatsApp bot not responding when bridge is connected ...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-1011-oracle)\nUser home directory: /home/ubuntu\nCurrent working directory: /home/ubuntu/.hermes/hermes-agent\n\nYou are in a Discord server or group chat communicating with your user. You can send media files natively: include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) are sent as photo attachments, audio as file attachments. You can also include image URLs in markdown format ![alt](url) and they will be sent as attachments.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# AGENTS.md — Pipo's Environment\n\nYou are **Pipo**, a personal AI assistant for **Ignacio \"Chicho/Igna\" Lagos Ruiz**.\n\n## Your Memory Files (always check these first)\n\n- `~/.hermes/memories/MEMORY.md` — long-term curated memory\n- `~/.hermes/memories/USER.md` — user profile and preferences\n- `~/.hermes/SOUL.md` — your persona and values\n\n## Environment\n\n- Server: Ubuntu 24.04 ARM64, Oracle Cloud São Paulo\n- Tailscale IP: `100.87.116.90`, hostname: `miopenclaw-vnic.tail9799d2.ts.net`\n- Shell: bash, Node.js v22, Python 3.12\n- Your install: `~/.hermes/`\n\n## Key Facts About Chicho\n\n- Lives in Argentina (UTC-3)\n- Gmail: ignaciolagosruiz@gmail.com\n- Prefers direct responses, no filler\n- Prefers text by default, audio only when asked\n- Uses YouTube Music, not Spotify\n- No Apple devices\n- For scraping Argentine retailers: may need exit node via `tailscale set --exit-node=pixel-6a`\n\n## Scraping Exit Node\n\nWhen scraping Argentine sites (Coto, Carrefour, Día, Disco, Jumbo):\n```bash\ntailscale set --exit-node=pixel-6a # enable before scraping\ntailscale set --exit-node='' # disable after\n```\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [96% — 2,128/2,200 chars]\n══════════════════════════════════════════════\nStartup: MEMORIES.md para memoria curada. memory/YYYY-MM-DD.md para contexto reciente. No usar exec para listar archivos conocidos. No Apple, YouTubeMusic, Asana. Audio solo si Chicho pide. Ya en user profile. Myristica WA bot: repo ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel. Baileys→webhook→Mistral→Supabase.\n§\nBaby checklist: https://miopenclaw-vnic.tail9799d2.ts.net/preview/baby-checklist/ (~/baby-checklist/, port 3006, Tailscale Funnel). Chicho+Tina sync.\n§\nHealth Bridge: Android app lee 22 tipos Health Connect → POST 100.87.116.90:3007/ingest c/60min. Server health-bridge (FastAPI+SQLite) systemd. Token: XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg.\n§\n2026-04-04: personal-browser-cdp skill creado. CDP via Chrome Windows + SSH tunnel. lanacion.com.ar usa browser_press key='End' (no scroll normal). Login La Nación es overlay con email/social.\n§\nHermes WebUI: session deletion permanent. Code survives as git changes in ~/hermes-webui/. Session JSONs gone.\n§\nChicho: directo, sin excusas, plan B/C/D. Prefiere acción autónoma con acceso (ADB/SSH). Datos completos, no subsets. Camoufox anti-bot, Gemini Flash vision, skill-switching. WebUI ~3000 líneas uncommitted.\n§\nFitness: Jeff Min-Max en Hevy; respetar orden fuente, actualizar rutinas existentes, calibrar pesos/RIR desde logs y mantener sustituciones reales del gym.\n§\nSportClub checkout reverse-engineered 2026-05-15: backend buenclub-checkout-backend.prod.sportclub.com.ar, GET //plan/{slug} → POST //order/{slug}. DNI validation only checks form.documento; form.payment.identificationNumber independent. Working: ACA 25% OFF, BAC/Belgrano 50% OFF. T&C: no physical ID check, 10-day revocation. Chicho uses pipo-deploy + Tailscale for browser access.\n§\nChicho sometimes needs friendly technical German explanations to send to Tina, especially for home-improvement decisions.\n§\nTina's Sushi Time Belgrano order: Poke Pollo crispy, base arroz de sushi, toppings cebolla morada/pepino/tomate perita/vegetales al wok/zanahoria/arveja, extra palta, salsas Buenos Aires + mostaza dulce, crocante nachos.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [97% — 1,345/1,375 chars]\n══════════════════════════════════════════════\n_Learn about the person you're helping. Update this as you go._\n§\n**Name:** Ignacio (Igna, also goes by Chicho)\n§\n**What to call them:** Igna or Chicho\n§\n**Pronouns:** _(not specified)_\n§\n**Timezone:** UTC-3 (Buenos Aires, Argentina)\n§\n**Notes:**\n§\nNo Apple; likes Apple web/glass. Electrical DIY: plug-play 220V kits, no wiring.\n§\nPrefiere YouTube Music (no Spotify)\n§\nPrefiere Asana sobre Trello\n§\nPrefiere respuestas en texto por defecto (para ahorrar tokens de ElevenLabs)\n§\nAudio solo cuando él lo pida explícitamente\n§\nPrefiere brevedad. APIs: docs/OpenAPI+ejemplos válidos antes de probar; cero falsa procedencia.\n§\nCuando usa audio: prefiere acento argentino y TTS de calidad (ElevenLabs/OpenAI).\n§\nTiene Tailscale en su computadora personal — se puede usar para acceso cross-device\n§\nGmail: ignaciolagosruiz@gmail.com (gog configurado, read-only)\n§\nNo quiere que Pipo interactúe con otras personas vía WhatsApp/mensajería (por ahora)\n§\nVive en Argentina — scraping de sitios locales puede necesitar exit node argentino (Pixel 6a via Tailscale)\n§\nAPIs: DeepSeek/Kimi/Mistral/OpenRouter/ClawRouter; DeepSeek/Kimi solo workers. Codex gate si lo pide; usar low/mid. Health: quiere dashboard unificado, explicable y confiable.\n§\nDog: Chivi. Likes Palermo/Colegiales parks. Tina likes Sushi Time Poke pollo crispy: arroz sushi, palta, nachos.\n\nConversation started: Tuesday, May 19, 2026\nModel: gpt-5.5\nProvider: openai-codex", "tools": [ { "type": "function", "function": { "name": "browser_back", "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_cdp", "description": "Send a raw Chrome DevTools Protocol (CDP) command. Escape hatch for browser operations not covered by browser_navigate, browser_click, browser_console, etc.\n\n**Requires a reachable CDP endpoint.** Available when the user has run '/browser connect' to attach to a running Chrome, or when 'browser.cdp_url' is set in config.yaml. Not currently wired up for cloud backends (Browserbase, Browser Use, Firecrawl) — those expose CDP per session but live-session routing is a follow-up. Camofox is REST-only and will never support CDP. If the tool is in your toolset at all, a CDP endpoint is already reachable.\n\n**CDP method reference:** https://chromedevtools.github.io/devtools-protocol/ — use web_extract on a method's URL (e.g. '/tot/Page/#method-handleJavaScriptDialog') to look up parameters and return shape.\n\n**Common patterns:**\n- List tabs: method='Target.getTargets', params={}\n- Handle a native JS dialog: method='Page.handleJavaScriptDialog', params={'accept': true, 'promptText': ''}, target_id=\n- Get all cookies: method='Network.getAllCookies', params={}\n- Eval in a specific tab: method='Runtime.evaluate', params={'expression': '...', 'returnByValue': true}, target_id=\n- Set viewport for a tab: method='Emulation.setDeviceMetricsOverride', params={'width': 1280, 'height': 720, 'deviceScaleFactor': 1, 'mobile': false}, target_id=\n\n**Usage rules:**\n- Browser-level methods (Target.*, Browser.*, Storage.*): omit target_id and frame_id.\n- Page-level methods (Page.*, Runtime.*, DOM.*, Emulation.*, Network.* scoped to a tab): pass target_id from Target.getTargets.\n- **Cross-origin iframe scope** (Runtime.evaluate inside an OOPIF, Page.* targeting a frame target, etc.): pass frame_id from the browser_snapshot frame_tree output. This routes through the CDP supervisor's live connection — the only reliable way on Browserbase where stateless CDP calls hit signed-URL expiry.\n- Each stateless call (without frame_id) is independent — sessions and event subscriptions do not persist between calls. For stateful workflows, prefer the dedicated browser tools or use frame_id routing.", "parameters": { "type": "object", "properties": { "method": { "type": "string", "description": "CDP method name, e.g. 'Target.getTargets', 'Runtime.evaluate', 'Page.handleJavaScriptDialog'." }, "params": { "type": "object", "description": "Method-specific parameters as a JSON object. Omit or pass {} for methods that take no parameters.", "properties": {}, "additionalProperties": true }, "target_id": { "type": "string", "description": "Optional. Target/tab ID from Target.getTargets result (each entry's 'targetId'). Use for page-level methods at the top-level tab scope. Mutually exclusive with frame_id." }, "frame_id": { "type": "string", "description": "Optional. Out-of-process iframe (OOPIF) frame_id from browser_snapshot.frame_tree.children[] where is_oopif=true. When set, routes the call through the CDP supervisor's live session for that iframe. Essential for Runtime.evaluate inside cross-origin iframes, especially on Browserbase where fresh per-call CDP connections can't keep up with signed URL rotation. For same-origin iframes, use parent contentWindow/contentDocument from Runtime.evaluate at the top-level page instead." }, "timeout": { "type": "number", "description": "Timeout in seconds (default 30, max 300).", "default": 30 } }, "required": [ "method" ] } } }, { "type": "function", "function": { "name": "browser_click", "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e5', '@e12')" } }, "required": [ "ref" ] } } }, { "type": "function", "function": { "name": "browser_console", "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.", "parameters": { "type": "object", "properties": { "clear": { "type": "boolean", "default": false, "description": "If true, clear the message buffers after reading" }, "expression": { "type": "string", "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'" } } } } }, { "type": "function", "function": { "name": "browser_dialog", "description": "Respond to a native JavaScript dialog (alert / confirm / prompt / beforeunload) that is currently blocking the page.\n\n**Workflow:** call ``browser_snapshot`` first — if a dialog is open, it appears in the ``pending_dialogs`` field with ``id``, ``type``, and ``message``. Then call this tool with ``action='accept'`` or ``action='dismiss'``.\n\n**Prompt dialogs:** pass ``prompt_text`` to supply the response string. Ignored for alert/confirm/beforeunload.\n\n**Multiple dialogs:** if more than one dialog is queued (rare — happens when a second dialog fires while the first is still open), pass ``dialog_id`` from the snapshot to disambiguate.\n\n**Availability:** only present when a CDP-capable backend is attached — Browserbase sessions, local Chrome via ``/browser connect``, or ``browser.cdp_url`` in config.yaml. Not available on Camofox (REST-only) or the default Playwright local browser (CDP port is hidden).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "accept", "dismiss" ], "description": "'accept' clicks OK / returns the prompt text. 'dismiss' clicks Cancel / returns null from prompt(). For ``beforeunload`` dialogs: 'accept' allows the navigation, 'dismiss' keeps the page." }, "prompt_text": { "type": "string", "description": "Response string for a ``prompt()`` dialog. Ignored for other dialog types. Defaults to empty string." }, "dialog_id": { "type": "string", "description": "Specific dialog to respond to, from ``browser_snapshot.pending_dialogs[].id``. Required only when multiple dialogs are queued." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "browser_get_images", "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_navigate", "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For simple information retrieval, prefer web_search or web_extract (faster, cheaper). For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.", "parameters": { "type": "object", "properties": { "url": { "type": "string", "description": "The URL to navigate to (e.g., 'https://example.com')" } }, "required": [ "url" ] } } }, { "type": "function", "function": { "name": "browser_press", "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "key": { "type": "string", "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')" } }, "required": [ "key" ] } } }, { "type": "function", "function": { "name": "browser_scroll", "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "direction": { "type": "string", "enum": [ "up", "down" ], "description": "Direction to scroll" } }, "required": [ "direction" ] } } }, { "type": "function", "function": { "name": "browser_snapshot", "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.", "parameters": { "type": "object", "properties": { "full": { "type": "boolean", "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.", "default": false } } } } }, { "type": "function", "function": { "name": "browser_type", "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e3')" }, "text": { "type": "string", "description": "The text to type into the field" } }, "required": [ "ref", "text" ] } } }, { "type": "function", "function": { "name": "browser_vision", "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "What you want to know about the page visually. Be specific about what you're looking for." }, "annotate": { "type": "boolean", "default": false, "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "clarify", "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to present to the user." }, "choices": { "type": "array", "items": { "type": "string" }, "maxItems": 4, "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "cronjob", "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "description": "One of: create, list, update, pause, resume, remove, run" }, "job_id": { "type": "string", "description": "Required for update/pause/resume/remove/run" }, "prompt": { "type": "string", "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills." }, "schedule": { "type": "string", "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp" }, "name": { "type": "string", "description": "Optional human-friendly name" }, "repeat": { "type": "integer", "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)." }, "deliver": { "type": "string", "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected." }, "skills": { "type": "array", "items": { "type": "string" }, "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills." }, "model": { "type": "object", "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.", "properties": { "provider": { "type": "string", "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider." }, "model": { "type": "string", "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')" } }, "required": [ "model" ] }, "script": { "type": "string", "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear." }, "no_agent": { "type": "boolean", "default": false, "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content." }, "context_from": { "type": "array", "items": { "type": "string" }, "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear." }, "enabled_toolsets": { "type": "array", "items": { "type": "string" }, "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear." }, "workdir": { "type": "string", "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated." }, "profile": { "type": "string", "description": "Optional Hermes profile name to run the job under. When set, the scheduler resolves that profile, applies a context-local Hermes home override, loads that profile's config/.env for the run, and bridges HERMES_HOME into subprocesses. Any temporary process-environment changes from profile .env loading are restored after the job exits. Use 'default' for the root Hermes profile. Named profiles must already exist. When unset (default), preserves the scheduler's existing profile. On update, pass an empty string to clear. Jobs with profile run sequentially (not parallel) to keep profile-scoped runtime state isolated." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "delegate_task", "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.", "parameters": { "type": "object", "properties": { "goal": { "type": "string", "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history." }, "context": { "type": "string", "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs." }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks." }, "tasks": { "type": "array", "items": { "type": "object", "properties": { "goal": { "type": "string", "description": "Task goal" }, "context": { "type": "string", "description": "Task-specific context" }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction." }, "acp_command": { "type": "string", "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Per-task ACP args override. Leave empty unless acp_command is set." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Per-task role override. See top-level 'role' for semantics." } }, "required": [ "goal" ] }, "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable." }, "acp_command": { "type": "string", "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided." } } } } }, { "type": "function", "function": { "name": "discord", "description": "Read and participate in a Discord server.\n\nAvailable actions:\n search_members(guild_id, query) — find members by name prefix\n fetch_messages(channel_id) — recent messages; optional before/after snowflakes\n create_thread(channel_id, name) — create a public thread; optional message_id anchor\n\nUse the channel_id from the current conversation context. Use search_members to look up user IDs by name prefix.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "search_members", "fetch_messages", "create_thread" ] }, "guild_id": { "type": "string", "description": "Discord server (guild) ID." }, "channel_id": { "type": "string", "description": "Discord channel ID." }, "user_id": { "type": "string", "description": "Discord user ID." }, "role_id": { "type": "string", "description": "Discord role ID." }, "message_id": { "type": "string", "description": "Discord message ID." }, "query": { "type": "string", "description": "Member name prefix to search for (search_members)." }, "name": { "type": "string", "description": "New thread name (create_thread)." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Max results (default 50). Applies to fetch_messages, search_members." }, "before": { "type": "string", "description": "Snowflake ID for reverse pagination (fetch_messages)." }, "after": { "type": "string", "description": "Snowflake ID for forward pagination (fetch_messages)." }, "auto_archive_duration": { "type": "integer", "enum": [ 60, 1440, 4320, 10080 ], "description": "Thread archive duration in minutes (create_thread, default 1440)." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "discord_admin", "description": "Manage a Discord server via the REST API.\n\nAvailable actions:\n list_guilds() — list servers the bot is in\n server_info(guild_id) — server details + member counts\n list_channels(guild_id) — all channels grouped by category\n channel_info(channel_id) — single channel details\n list_roles(guild_id) — roles sorted by position\n member_info(guild_id, user_id) — lookup a specific member\n list_pins(channel_id) — pinned messages in a channel\n pin_message(channel_id, message_id) — pin a message\n unpin_message(channel_id, message_id) — unpin a message\n delete_message(channel_id, message_id) — delete a message\n add_role(guild_id, user_id, role_id) — assign a role\n remove_role(guild_id, user_id, role_id) — remove a role\n\nCall list_guilds first to discover guild_ids, then list_channels for channel_ids. Runtime errors will tell you if the bot lacks a specific per-guild permission (e.g. MANAGE_ROLES for add_role).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list_guilds", "server_info", "list_channels", "channel_info", "list_roles", "member_info", "list_pins", "pin_message", "unpin_message", "delete_message", "add_role", "remove_role" ] }, "guild_id": { "type": "string", "description": "Discord server (guild) ID." }, "channel_id": { "type": "string", "description": "Discord channel ID." }, "user_id": { "type": "string", "description": "Discord user ID." }, "role_id": { "type": "string", "description": "Discord role ID." }, "message_id": { "type": "string", "description": "Discord message ID." }, "query": { "type": "string", "description": "Member name prefix to search for (search_members)." }, "name": { "type": "string", "description": "New thread name (create_thread)." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Max results (default 50). Applies to fetch_messages, search_members." }, "before": { "type": "string", "description": "Snowflake ID for reverse pagination (fetch_messages)." }, "after": { "type": "string", "description": "Snowflake ID for forward pagination (fetch_messages)." }, "auto_archive_duration": { "type": "integer", "enum": [ 60, 1440, 4320, 10080 ], "description": "Thread archive duration in minutes (create_thread, default 1440)." } }, "required": [ "action" ] } } }, { "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 web_search(query: str, limit: int = 5) -> dict\n Returns {\"data\": {\"web\": [{\"url\", \"title\", \"description\"}, ...]}}\n web_extract(urls: list[str]) -> dict\n Returns {\"results\": [{\"url\", \"title\", \"content\", \"error\"}, ...]} where content is markdown\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures", "parameters": { "type": "object", "properties": { "code": { "type": "string", "description": "Python code to execute. Import tools with `from hermes_tools import web_search, terminal, ...` and print your final result to stdout." } }, "required": [ "code" ] } } }, { "type": "function", "function": { "name": "feishu_doc_read", "description": "Read the full content of a Feishu/Lark document as plain text. Useful when you need more context beyond the quoted text in a comment.", "parameters": { "type": "object", "properties": { "doc_token": { "type": "string", "description": "The document token (from the document URL or comment context)." } }, "required": [ "doc_token" ] } } }, { "type": "function", "function": { "name": "feishu_drive_add_comment", "description": "Add a new whole-document comment on a Feishu document. Use this for whole-document comments or as a fallback when reply_comment fails with code 1069302.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "content": { "type": "string", "description": "The comment text content (plain text only, no markdown)." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" } }, "required": [ "file_token", "content" ] } } }, { "type": "function", "function": { "name": "feishu_drive_list_comment_replies", "description": "List all replies in a comment thread on a Feishu document.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "comment_id": { "type": "string", "description": "The comment ID to list replies for." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" }, "page_size": { "type": "integer", "description": "Number of replies per page (max 100).", "default": 100 }, "page_token": { "type": "string", "description": "Pagination token for next page." } }, "required": [ "file_token", "comment_id" ] } } }, { "type": "function", "function": { "name": "feishu_drive_list_comments", "description": "List comments on a Feishu document. Use is_whole=true to list whole-document comments only.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" }, "is_whole": { "type": "boolean", "description": "If true, only return whole-document comments.", "default": false }, "page_size": { "type": "integer", "description": "Number of comments per page (max 100).", "default": 100 }, "page_token": { "type": "string", "description": "Pagination token for next page." } }, "required": [ "file_token" ] } } }, { "type": "function", "function": { "name": "feishu_drive_reply_comment", "description": "Reply to a local comment thread on a Feishu document. Use this for local (quoted-text) comments. For whole-document comments, use feishu_drive_add_comment instead.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "comment_id": { "type": "string", "description": "The comment ID to reply to." }, "content": { "type": "string", "description": "The reply text content (plain text only, no markdown)." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" } }, "required": [ "file_token", "comment_id", "content" ] } } }, { "type": "function", "function": { "name": "image_generate", "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![description](url-or-path) and the gateway will deliver it.", "parameters": { "type": "object", "properties": { "prompt": { "type": "string", "description": "The text prompt describing the desired image. Be detailed and descriptive." }, "aspect_ratio": { "type": "string", "enum": [ "landscape", "square", "portrait" ], "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.", "default": "landscape" } }, "required": [ "prompt" ] } } }, { "type": "function", "function": { "name": "mcp_context7_query_docs", "description": "Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework.\n\nYou must call 'Resolve Context7 Library ID' tool first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nDo not call this tool more than 3 times per question.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "libraryId": { "type": "string", "description": "Exact Context7-compatible library ID (e.g., '/mongodb/docs', '/vercel/next.js', '/supabase/supabase', '/vercel/next.js/v14.3.0-canary.87') retrieved from 'resolve-library-id' or directly from user query in the format '/org/project' or '/org/project/version'." }, "query": { "type": "string", "description": "The question or task you need help with. Be specific and include relevant details. Good: 'How to set up authentication with JWT in Express.js' or 'React useEffect cleanup function examples'. Bad: 'auth' or 'hooks'. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." } }, "required": [ "libraryId", "query" ] } } }, { "type": "function", "function": { "name": "mcp_context7_resolve_library_id", "description": "Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.\n\nYou MUST call this function before 'Query Documentation' tool to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query.\n\nEach result includes:\n- Library ID: Context7-compatible identifier (format: /org/project)\n- Name: Library or package name\n- Description: Short summary\n- Code Snippets: Number of available code examples\n- Source Reputation: Authority indicator (High, Medium, Low, or Unknown)\n- Benchmark Score: Quality indicator (100 is the highest score)\n- Versions: List of versions if available. Use one of those versions if the user provides a version in their query. The format of the version is /org/project/version.\n\nFor best results, select libraries based on name match, source reputation, snippet coverage, benchmark score, and relevance to your use case.\n\nSelection Process:\n1. Analyze the query to understand what library/package the user is looking for\n2. Return the most relevant match based on:\n- Name similarity to the query (exact matches prioritized)\n- Description relevance to the query's intent\n- Documentation coverage (prioritize libraries with higher Code Snippet counts)\n- Source reputation (consider libraries with High or Medium reputation more authoritative)\n- Benchmark Score: Quality indicator (100 is the highest score)\n\nResponse Format:\n- Return the selected library ID in a clearly marked section\n- Provide a brief explanation for why this library was chosen\n- If multiple good matches exist, acknowledge this but proceed with the most relevant one\n- If no good matches exist, clearly state this and suggest query refinements\n\nFor ambiguous queries, request clarification before proceeding with a best-guess match.\n\nIMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.", "parameters": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "query": { "type": "string", "description": "The question or task you need help with. This is used to rank library results by relevance to what the user is trying to accomplish. The query is sent to the Context7 API for processing. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query." }, "libraryName": { "type": "string", "description": "Library name to search for and retrieve a Context7-compatible library ID. Use the official library name with proper punctuation — e.g., 'Next.js' instead of 'nextjs', 'Customer.io' instead of 'customerio', 'Three.js' instead of 'threejs'." } }, "required": [ "query", "libraryName" ] } } }, { "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": "mixture_of_agents", "description": "Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced algorithms, multi-step analytical reasoning, problems benefiting from diverse perspectives.", "parameters": { "type": "object", "properties": { "user_prompt": { "type": "string", "description": "The complex query or problem to solve using multiple AI models. Should be a challenging problem that benefits from diverse perspectives and collaborative reasoning." } }, "required": [ "user_prompt" ] } } }, { "type": "function", "function": { "name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.", "parameters": { "type": "object", "properties": { "mode": { "type": "string", "enum": [ "replace", "patch" ], "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.", "default": "replace" }, "path": { "type": "string", "description": "REQUIRED when mode='replace'. File path to edit." }, "old_string": { "type": "string", "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness." }, "new_string": { "type": "string", "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text." }, "replace_all": { "type": "boolean", "description": "Replace all occurrences instead of requiring a unique match (default: false)", "default": false }, "patch": { "type": "string", "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch" } }, "required": [ "mode" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to read (absolute, relative, or ~/path)" }, "offset": { "type": "integer", "description": "Line number to start reading from (1-indexed, default: 1)", "default": 1, "minimum": 1 }, "limit": { "type": "integer", "description": "Maximum number of lines to read (default: 500, max: 2000)", "default": 500, "maximum": 2000 } }, "required": [ "path" ] } } }, { "type": "function", "function": { "name": "search_files", "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.", "parameters": { "type": "object", "properties": { "pattern": { "type": "string", "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search" }, "target": { "type": "string", "enum": [ "content", "files" ], "description": "'content' searches inside file contents, 'files' searches for files by name", "default": "content" }, "path": { "type": "string", "description": "Directory or file to search in (default: current working directory)", "default": "." }, "file_glob": { "type": "string", "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)" }, "limit": { "type": "integer", "description": "Maximum number of results to return (default: 50)", "default": 50 }, "offset": { "type": "integer", "description": "Skip first N results for pagination (default: 0)", "default": 0 }, "output_mode": { "type": "string", "enum": [ "content", "files_only", "count" ], "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file", "default": "content" }, "context": { "type": "integer", "description": "Number of context lines before and after each match (grep mode only)", "default": 0 } }, "required": [ "pattern" ] } } }, { "type": "function", "function": { "name": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "send", "list" ], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms." }, "target": { "type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)" }, "message": { "type": "string", "description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment." } } } } }, { "type": "function", "function": { "name": "session_search", "description": "Search past sessions stored in the local session DB, or scroll inside one. FTS5-backed retrieval over the SQLite message store. No LLM calls — every shape returns actual messages from the DB.\n\nTHREE CALLING SHAPES\n\n 1) DISCOVERY — pass `query`:\n session_search(query=\"auth refactor\", limit=3)\n Runs FTS5, dedupes hits by session lineage, returns the top N sessions. Each result carries:\n - session_id, title, when, source\n - snippet: FTS5-highlighted match excerpt\n - bookend_start: first 3 user+assistant messages of the session (the goal / kickoff)\n - messages: ±5 messages around the FTS5 match, with the anchor message flagged (the hit in context)\n - bookend_end: last 3 user+assistant messages of the session (the resolution / decisions)\n - match_message_id, messages_before, messages_after\n Bookends + window together let you reconstruct goal → match → resolution without paying for the whole transcript.\n\n 2) SCROLL — pass `session_id` + `around_message_id`:\n session_search(session_id=\"...\", around_message_id=12345, window=10)\n Returns a window of ±`window` messages centered on the anchor. No FTS5, no bookends — just the slice. Use after a discovery call when you need more context than the ±5 default window.\n - To scroll FORWARD: pass messages[-1].id back as around_message_id.\n - To scroll BACKWARD: pass messages[0].id back as around_message_id.\n - The boundary message appears in both windows — orientation marker.\n - When messages_before or messages_after is < window, you're at the start or end of the session.\n\n 3) BROWSE — no args:\n session_search()\n Returns recent sessions chronologically: titles, previews, timestamps. Use when the user asks \"what was I working on\" without naming a topic.\n\nFTS5 SYNTAX\n\n AND is the default — multi-word queries require all terms. Use OR explicitly for broader recall (`alpha OR beta OR gamma`), quoted phrases for exact match (`\"docker networking\"`), boolean (`python NOT java`), or prefix wildcards (`deploy*`).\n\nWHEN TO USE\n\n Reach for this on any \"what did we do about X\" / \"where did we leave Y\" / \"find the session where Z\" question — before gh, web search, or filesystem inspection. The session DB carries what was said when; external tools show current world state.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "Search query (discovery shape). Keywords, phrases, or boolean expressions to find in past sessions. Omit to browse recent sessions. Ignored when session_id + around_message_id are set (scroll shape)." }, "limit": { "type": "integer", "description": "Discovery shape only. Max sessions to return (default 3, max 10). Bump to 5–10 when the topic likely spans several sessions and you want to pick the right one to scroll into.", "default": 3 }, "sort": { "type": "string", "enum": [ "newest", "oldest" ], "description": "Discovery shape only. Temporal bias on top of FTS5 ranking. Omit to keep relevance-only ordering (suitable for exploratory recall — \"what do we know about X\"). Set 'newest' for recency-shaped questions (\"where did we leave X\"). Set 'oldest' for origin-shaped questions (\"how did X start\"). Ignored in scroll and browse shapes." }, "session_id": { "type": "string", "description": "Scroll shape. Session to read inside. Use the session_id returned from a prior discovery call. Must be paired with around_message_id." }, "around_message_id": { "type": "integer", "description": "Scroll shape. Message id to center the window on. From a discovery result use match_message_id, or any id seen in a prior window. To scroll forward pass the last window message's id; to scroll backward pass the first." }, "window": { "type": "integer", "description": "Scroll shape only. Messages to return on each side of the anchor (anchor itself always included). Clamped to [1, 20]. Default 5.", "default": 5 }, "role_filter": { "type": "string", "description": "Optional. Comma-separated roles to include. Discovery defaults to 'user,assistant' (tool output is usually noise). Pass 'user,assistant,tool' to include tool output (debugging tool behaviour) or 'tool' to search tool output only." } } } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "text_to_speech", "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.", "parameters": { "type": "object", "properties": { "text": { "type": "string", "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated." }, "output_path": { "type": "string", "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3" } }, "required": [ "text" ] } } }, { "type": "function", "function": { "name": "todo", "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.", "parameters": { "type": "object", "properties": { "todos": { "type": "array", "description": "Task items to write. Omit to read current list.", "items": { "type": "object", "properties": { "id": { "type": "string", "description": "Unique item identifier" }, "content": { "type": "string", "description": "Task description" }, "status": { "type": "string", "enum": [ "pending", "in_progress", "completed", "cancelled" ], "description": "Current status" } }, "required": [ "id", "content", "status" ] } }, "merge": { "type": "boolean", "description": "true: update existing items by id, add new ones. false (default): replace the entire list.", "default": false } } } } }, { "type": "function", "function": { "name": "video_analyze", "description": "Analyze a video from a URL or local file path using a multimodal AI model. Sends the video to a video-capable model (e.g. Gemini) for understanding. Use this for video files — for images, use vision_analyze instead. Supports mp4, webm, mov, avi, mkv, mpeg formats. Note: large videos (>20 MB) may be slow; max ~50 MB.", "parameters": { "type": "object", "properties": { "video_url": { "type": "string", "description": "Video URL (http/https) or local file path to analyze." }, "question": { "type": "string", "description": "Your specific question about the video. The AI will describe what happens in the video and answer your question." } }, "required": [ "video_url", "question" ] } } }, { "type": "function", "function": { "name": "vision_analyze", "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.", "parameters": { "type": "object", "properties": { "image_url": { "type": "string", "description": "Image URL (http/https), local file path, or data: URL to load." }, "question": { "type": "string", "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image." } }, "required": [ "image_url", "question" ] } } }, { "type": "function", "function": { "name": "web_extract", "description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.", "parameters": { "type": "object", "properties": { "urls": { "type": "array", "items": { "type": "string" }, "description": "List of URLs to extract content from (max 5 URLs per call)", "maxItems": 5 } }, "required": [ "urls" ] } } }, { "type": "function", "function": { "name": "web_search", "description": "Search the web for information. Returns up to 5 results by default with titles, URLs, and descriptions. The query is passed through to the configured backend, so operators such as site:domain, filetype:pdf, intitle:word, -term, and \"exact phrase\" may work when the backend supports them.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The search query to look up on the web. You may include backend-supported operators such as site:example.com, filetype:pdf, intitle:word, -term, or \"exact phrase\"." }, "limit": { "type": "integer", "description": "Maximum number of results to return. Defaults to 5.", "minimum": 1, "maximum": 100, "default": 5 } }, "required": [ "query" ] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)" }, "content": { "type": "string", "description": "Complete content to write to the file" } }, "required": [ "path", "content" ] } } } ], "message_count": 16, "messages": [ { "role": "user", "content": "[nachlakes] por favor busca la forma de conectarte con mis apps de deporte. Empecemos por las más factibles. Tipo fitbit o Google Fit o Android health connect." }, { "role": "assistant", "content": "**Resumen de factibilidad:**\n\n| App | Estado | Detalle |\n|-----|--------|---------|\n| **Hevy** | ✅ Conectado | 37 workouts. Consulto rutinas, ejercicios, historial, progreso. |\n| **Google Fit REST API** | 🟡 Factible | API REST con OAuth 2.0. Lee steps, heart rate, activity, sleep. Necesita proyecto GCP + autorización. |\n| **Android Health Connect** | ❌ No directo | Solo accesible desde app nativa Android (Jetpack library). Necesitaría un puente. |\n| **Fitbit** | ❌ No aplica | Requiere hardware Fitbit, no tenés. |\n\n**Google Fit** es la que más sentido tiene además de Hevy porque tu Pixel 9a ya sincroniza datos ahí (pasos, actividad, etc.). Es REST — lo puedo consultar directo desde el server una vez autenticado.\n\n¿Qué datos te interesan de Google Fit? ¿Pasos diarios, sueño, ritmo cardíaco, algo más? Así priorizo qué scopes pedir." }, { "role": "user", "content": "[nachlakes] Todo" }, { "role": "assistant", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\n\"mira mi idea final es tener un dashboard en algun momento donde pueda ver toda esta data unificada y entendible a simple vista. por ahora aseguremonos que la base este solida. que tenes que hacer?\"\n\n## Goal\nCrear una app Android puente (\"Health Bridge\") que lea datos de Health Connect en un Pixel 9a y los envíe a un server Oracle (vía Tailscale) para proveer a \"Pipo\" un overview confiable, corregido e idempotente de la salud de \"Chicho\", sentando las bases para un dashboard unificado (incluyendo nutrición futura).\n\n## Constraints & Preferences\n- No usar **Codex High Reasoning** innecesariamente para ahorrar créditos; preferir `low` o `medium`.\n- Gate estricto: **Codex Sign-off** obligatorio antes de cualquier build/install de APK o deploy crítico.\n- Privacidad: Tráfico sobre Tailscale (HTTP sin TLS aceptable); token [REDACTED].\n- Idempotencia: El backend debe permitir recibir los mismos datos múltiples veces sin duplicar métricas.\n- Segmentación por \"Sujeto\": Los datos deben estar asociados a un `subject` (ej. `chicho`).\n- Exactitud temporal: Los agregados y ejercicios deben procesarse según el día local del dispositivo, no UTC puro.\n\n## Completed Actions\n46. REVISIÓN arquitectura para \"base sólida\" — outcome: se definió que el backend debe separar raw data de métricas interpretadas con provenance [tool: razonamiento]\n47. ADB CONNECT — outcome: restablecida conexión al Pixel 9a en `100.111.239.9:46079` tras cambio de puerto en Wireless Debugging [tool: adb]\n48. REFACTOR `server.py` — outcome: implementado nuevo schema `daily_summary` (27 columnas), clasificación por fuente (`com.hevy` -> `explicit_workout`, etc.), deduplicación por fingerprint de contenido y `/debug/day` [tool: editor]\n49. FIX `HealthConnectSync.kt` (Android) — outcome: agregada paginación en lecturas de Health Connect y reporte explícito de `subject: chicho` [tool: editor]\n50. CODEX REVIEW (v4) — outcome: **DO NOT BUILD**; detectó que el sueño/ejercicio nocturno no se dividía correctamente y faltaba backfill de migraciones [tool: codex gpt-5.5 low]\n51. PATCH backend & Android — outcome: corregido split de sesiones que cruzan la medianoche y borrado de registros `health_connect` legacy cuando existe fuente mejor (Hevy/Fit) [tool: editor]\n52. CODEX FINAL REVIEW (v5) — outcome: **SIGN OFF FOR DEPLOY AND BUILD** [tool: codex gpt-5.5 low]\n53. DEPLOY Backend — outcome: `systemctl restart health-bridge` exitoso; `rebuild-summary` ejecutado para poblar nuevas columnas [tool: terminal]\n54. BUILD & INSTALL APK (v5) — outcome: APK instalado y ejecutado en Pixel 9a; versión estable con corrección de pasos y split de ejercicios [tool: gradlew/adb]\n55. SYNC TEST — outcome: Usuario accionó \"Sync Now\"; se recibieron 42 records exitosamente vinculados a `chicho` [tool: user report/logs]\n56. DIAGNÓSTICO `exercise_minutes` — outcome: se identificó que el total incluía tanto Hevy (workuot) como Google Fit (auto-actividad), además de basura legacy [tool: terminal/sqlite]\n57. CLEANUP DB — outcome: borrados 74 registros legacy duplicados para sanear el historial [tool: sqlite]\n58. IMPLEMENTACIÓN `test_server.py` — outcome: 7 tests unitarios pasando, cubriendo deduplicación, clasificación Hevy/Fit, y exclusión de `stale_wide_aggregate` (el bug de los 95k pasos) [tool: pytest]\n59. FIX Compatibilidad SQLite — outcome: cambiado `SELECT *` por `SELECT {SUMMARY_COLUMNS}` para evitar errores de orden de columnas tras la migración de schema [tool: patch]\n60. CODEX MICRO-REVIEW — outcome: **SIGN OFF FOR DEPLOY** para el fix de compatibilidad de columnas [tool: codex gpt-5.5 low]\n\n## Active State\n- Working directory: `/home/ubuntu/health-bridge`\n- Backend: corriendo en puerto 3007, versionado con `daily_summary` extendido.\n- DB: `health.db` saneada con records de `chicho`.\n- APK: v5 (fix de steps y split de ejercicios) instalada en Pixel 9a.\n- Tests: 7/7 passing (`test_server.py`).\n- ADB: Conectado a `100.111.239.9:46079`.\n\n## In Progress\n- Monitoreo de la base sólida tras el refactor de provenance.\n- Verificación de que el auto-sync diario (WorkManager) use el nuevo formato de envío con `subject`.\n\n## Blocked\n- Ninguno técnico. Se requiere esperar a que pasen los días para ver la acumulación de datos limpios.\n\n## Key Decisions\n1. **Provenance sobre Agregación Ciega**: El backend ahora guarda quién envió qué (Hevy, Fit, Health Connect) y decide mediante `SOURCE_RULES` qué dato priorizar para el summary.\n2. **Ignorar \"Wide Aggregates\"**: Se descartan registros agregados que cubran más de 36 horas (como el de 7 días reportado antes) para evitar inflar el día actual.\n3. **Split de Ejercicio**: Se separan los minutos de \"Workout\" (Hevy) de \"Auto-Activity\" (Google Fit) en el summary para dar claridad a Pipo.\n4. **Idempotencia por Fingerprint**: En lugar de confiar solo en el ID de Health Connect, se genera un hash del contenido (tipo, fecha, fuente, valor) para evitar duplicados si la misma app re-envía datos con otro ID.\n\n## Resolved Questions\n- **¿De dónde salen los minutos de ejercicio?** -> Confirmado por raw data: Ej. 224 min = 117 min de Hevy (\"Min-Max Upper\") + 107 min de Google Fit (caminatas detectadas).\n- **¿Por qué el overview mostraba 95k pasos?** -> Era un registro \"aggregated\" de una ventana de 7 días que el backend previo tomaba como de \"un día\"; ahora se filtra por `_is_stale_wide_aggregate`.\n\n## Pending User Asks\n- El usuario quiere eventualmente un dashboard visual unificado y entendible (en pausa hasta asegurar la base).\n\n## Relevant Files\n- `server.py`: Lógica central, clasificación de fuentes, reglas de deduplicación y reconstrucción de summaries.\n- `test_server.py`: Suite de validación para la lógica de negocio del backend.\n- `android-app/app/src/main/java/com/healthbridge/app/HealthConnectSync.kt`: Lógica de extracción de Health Connect con paginación y reporte de `subject`.\n- `health.db`: Base de datos SQLite que ahora contiene `raw_data` y `daily_summary` con 27 métricas.\n\n## Remaining Work\n- Validar la ingesta de datos de nutrición (Protein/Carbs/Fat) una vez que el usuario use MacroFactor o MyFitnessPal y sincronice con Health Connect.\n- Diseñar el endpoint de dashboard que use la data de `daily_summary`.\n- Verificar el funcionamiento del WorkManager para el auto-sync de fondo con el nuevo APK.\n\n## Critical Context\n- Pixel Tailscale IP: `100.111.239.9:46079`.\n- Server Local IP: `100.87.116.90:3007`.\n- `subject` actual: `chicho`.\n- `record_key` format: Hash SHA-256 de 24 caracteres derivado del contenido canónico.\n- `[REDACTED]` tokens y contraseñas no incluidos.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\nCodex micro-review también firmó. Cierro estado.", "reasoning": null, "finish_reason": "tool_calls", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Codex micro-review también firmó. Cierro estado." } ], "id": "msg_06d034090aab91f3016a0ce7fb54408194b8ddaea129326468", "phase": "commentary" } ], "tool_calls": [ { "id": "call_cmCImjM9V0d73xdkslS30tqH", "call_id": "call_cmCImjM9V0d73xdkslS30tqH", "response_item_id": "fc_06d034090aab91f3016a0ce7fbcd9c81949cbc13e9302fc1a1", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Pedir Codex review/sign-off económico antes de dejarlo como deploy final\",\"id\":\"codex\",\"status\":\"completed\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Inspeccionar backend actual y datos raw para definir reglas de provenance/dedup\", \"status\": \"completed\"}, {\"id\": \"implement\", \"content\": \"Implementar classification/provenance, summary limpio y /debug/day\", \"status\": \"completed\"}, {\"id\": \"tests\", \"content\": \"Agregar tests/fixtures para idempotencia, dedupe, exercise split y nutrition separation\", \"status\": \"completed\"}, {\"id\": \"verify\", \"content\": \"Correr checks, rebuild summary y verificar días reales\", \"status\": \"completed\"}, {\"id\": \"codex\", \"content\": \"Pedir Codex review/sign-off económico antes de dejarlo como deploy final\", \"status\": \"completed\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 0, \"completed\": 5, \"cancelled\": 0}}", "tool_call_id": "call_cmCImjM9V0d73xdkslS30tqH" }, { "role": "assistant", "content": "Listo.\n\nImplementado y deployado backend sólido para dashboard futuro.\n\nCambios principales:\n- `workout_minutes` separado de `auto_activity_minutes`\n- Hevy = workout explícito\n- Google Fit = actividad automática\n- `exercise_minutes = workout + auto`\n- `nutrition_kcal` separado de calorías quemadas\n- dedupe por fingerprint canónico\n- legacy `health_connect` duplicado filtrado\n- aggregate viejo de 7 días ignorado\n- `/debug/day?date=YYYY-MM-DD&subject=chicho` para auditar cualquier número\n- endpoints usan columnas explícitas, no `SELECT *`, para migraciones SQLite seguras\n\nTests:\n```txt\n7 passed\n```\n\nCodex:\n```txt\nSIGN OFF FOR DEPLOY\n```\nusando `gpt-5.5` con `reasoning low`.\n\nProducción actual:\n\n```txt\n2026-05-19 steps 11540 workout 117 auto 107 exercise 224 kcal 1544\n2026-05-18 steps 9527 workout 0 auto 154 exercise 154 kcal 1905\n2026-05-17 steps 21007 workout 0 auto 158 exercise 158 kcal 1905\n2026-05-16 steps 17579 workout 0 auto 185 exercise 185 kcal 1905\n2026-05-15 steps 13013 workout 99 auto 180 exercise 279 kcal 1905\n2026-05-14 steps 10236 workout 0 auto 114 exercise 114 kcal 1905\n2026-05-13 steps 11169 workout 103 auto 75 exercise 178 kcal 1905\n2026-05-12 steps 0 workout 93 auto 140 exercise 233 kcal 0\n2026-05-11 steps 0 workout 0 auto 27 exercise 27 kcal 0\n```\n\nBase mucho más sólida ahora. Next logical step después: endpoint/dashboard “daily card” más humano, no más backend core.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Listo.\n\nImplementado y deployado backend sólido para dashboard futuro.\n\nCambios principales:\n- `workout_minutes` separado de `auto_activity_minutes`\n- Hevy = workout explícito\n- Google Fit = actividad automática\n- `exercise_minutes = workout + auto`\n- `nutrition_kcal` separado de calorías quemadas\n- dedupe por fingerprint canónico\n- legacy `health_connect` duplicado filtrado\n- aggregate viejo de 7 días ignorado\n- `/debug/day?date=YYYY-MM-DD&subject=chicho` para auditar cualquier número\n- endpoints usan columnas explícitas, no `SELECT *`, para migraciones SQLite seguras\n\nTests:\n```txt\n7 passed\n```\n\nCodex:\n```txt\nSIGN OFF FOR DEPLOY\n```\nusando `gpt-5.5` con `reasoning low`.\n\nProducción actual:\n\n```txt\n2026-05-19 steps 11540 workout 117 auto 107 exercise 224 kcal 1544\n2026-05-18 steps 9527 workout 0 auto 154 exercise 154 kcal 1905\n2026-05-17 steps 21007 workout 0 auto 158 exercise 158 kcal 1905\n2026-05-16 steps 17579 workout 0 auto 185 exercise 185 kcal 1905\n2026-05-15 steps 13013 workout 99 auto 180 exercise 279 kcal 1905\n2026-05-14 steps 10236 workout 0 auto 114 exercise 114 kcal 1905\n2026-05-13 steps 11169 workout 103 auto 75 exercise 178 kcal 1905\n2026-05-12 steps 0 workout 93 auto 140 exercise 233 kcal 0\n2026-05-11 steps 0 workout 0 auto 27 exercise 27 kcal 0\n```\n\nBase mucho más sólida ahora. Next logical step después: endpoint/dashboard “daily card” más humano, no más backend core." } ], "id": "msg_06d034090aab91f3016a0ce7ff25408194aa0e08247d150bca", "phase": "final_answer" } ] }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them." }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqDOiQF-NR6mNWJbW_fQqWihZ3xd1Q0Muj4ZVSpbYfiBQU1yTHInCuhNQqBsTY0XUBkdrj0UwnLyQv9K6IYJ7-verouxmn49uNZb7aq-0kj7dm3ZJCMLwmmMT_35zD0TwjbSgvYixy_81cSM0U4ee1F-uQkXuZetRO5ncK-AURXvcjigpY4-a6QnRMbFzXH8oyONwI2kMix96H7iQmmL46B4yrEseeRBKZ24oB6tIhPVO_5gaImJiAvz71thiIqcudSLJNxbUY_Bmid0gpfyB1YAsl-m34toWUti4oYMFESslTiAC9Kk4CyDMhGWetT79O3U4GYQXNvA0ACrHJzLK9BvLBhlqUPpOzxAF_mXHkxRk_10yoBmhAfK6voPeY8z5UivMM9Y5x5RVicWfxSPd6R8BqyLkae_wgIQbyUfXf-4C1HHZN4YCBHg-KO9GRocrUV3s0nq2v2NunNTy1YyuowGFtyu4_QmUK43029ehv5L5XGQCoSc6ogvNWnOCxFF8E4tC5lYxo_KdXSJiEAzNSokLFICYLzbKWwlmBw7aEXnwOGLQe1cMCa_PwTjs993WVO-RUzVqD_RbVKtOEwDfy587EIXmcclPAKacGShkSxn4NBkWgHd3zsEBifiZeyvHdpfB253ePDmNeoN1DwjruSkceJhfB-jscOo_Re2lBBuVOKG5yGwFTvBEgwxqHPxCet_QWM0I64GV1hqt3HaYqn-Mkssa3xHcm-8qteHCFOHXLmnMrZxvosIjQQLtrSZbRtlBMINvn6tzrnQHi8n2ugf_QC-YWur2M1yegkndCleG2-V0p0Vgo2DcgdDejZiQbKoJpOGQwZm6C67tKTO_q1zcqL-Iwj-Gvvqf6kfx1XKWFCjirj9w9oorL142n7s6vQ9dlrqvOcUZbRs9yoXHCeyW6-80biWpufIq__gaymel1h_69RLtZEkJTuVD6T3aPE2njwy2KD6K-ZvBIWYrHHIji-BnJDQRtSyELSUn9DZ_2Q0Zc9J4xaTO_EnlTIF9E-mfwBc2yXmE5VT30OK2CD0tUsXxCvpcTDTef-Ars-2RL1felpCmiKRpv6K-fT5Z2Ri7FAobleWNelf8GSlPbi-LVx14RvdfVpE3IcheVSAxK8wNBzB8hmnSLTzAzFk-LZA8CH0DHImmpvftY9g2yCJTiZmj13dO1Edne8kz1RuGt-YQqNQBzAtJlr3flSYbmnDHGlbEk1kSTEchVptsqZTLLgO2pL9t0bm5vGfur9y1Wmnk4LluHa64HlVSsyZIwUO1UdPxF-2C86WbezFxxW_XdQGsHGKgD5AMqfEOljxZDKP8SBuSXMAYDypb0JRNHyDb0jYfgJ1mLkLEZkPOP56e7VPfDiF1QdLR2_vpt3LJmlKztSrb_KIEBUtJPF0k7gGZA5SYQCgkuEw3raCo4JBdcAIp3sWd2SZWPMYbaHsYjcK2lWfBQ3Akpoons4Gt9QNNNk-e4VuJzYUBdDUSsT2gtiTG9nBsCtmKb0zLsD21J_tc=", "id": "rs_06d034090aab91f3016a0ce88e4258819493224415b2290756", "summary": [] } ], "tool_calls": [ { "id": "call_LrYTiQFFR8fwRP48p8mkBHOK", "call_id": "call_LrYTiQFFR8fwRP48p8mkBHOK", "response_item_id": "fc_06d034090aab91f3016a0ce89030b08194ac641a81d1dbd059", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"health-bridge\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"health-bridge\", \"description\": \"Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: health-bridge\\ndescription: Manage the Health Bridge system — Android app that syncs Health Connect data to the Oracle server. Use when maintaining, rebuilding, deploying, or troubleshooting the health sync pipeline.\\ncategory: fitness\\n---\\n\\n# Health Bridge\\n\\nAndroid app (Kotlin) + Python server (FastAPI/SQLite) that pulls all Health Connect data from Chicho's Pixel 9a and stores it on the Oracle VPS for Pipo to query.\\n\\n## Architecture\\n\\n```\\nPixel 9a (Health Bridge app)\\n │ WorkManager every 60 min\\n │ or manual \\\"Sync Now\\\" button\\n ▼\\nPOST http://100.87.116.90:3007/ingest (Tailscale mesh)\\n │ Bearer token auth\\n ▼\\nOracle VPS (systemd: health-bridge)\\n │ FastAPI + SQLite (~/health-bridge/health.db)\\n ▼\\nPipo queries: /summary, /data\\n```\\n\\n## Server (Oracle VPS)\\n\\n**Service:** `systemd health-bridge` \\n**Port:** 3007 (HTTP, Tailscale-only) \\n**Code:** `~/health-bridge/server.py` \\n**DB:** `~/health-bridge/health.db` \\n**Token:** `XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg`\\n\\n### Endpoints\\n\\n| Method | Path | Auth | Purpose |\\n|--------|------|------|---------|\\n| GET | `/health` | none | Ping |\\n| GET | `/` | none | Status |\\n| POST | `/ingest` | Bearer | Receive Health Connect data |\\n| GET | `/summary?days=7` | Bearer | Daily aggregated summary |\\n| GET | `/data?data_type=steps&limit=100` | Bearer | Raw records |\\n| GET | `/download` | none | Download latest APK |\\n\\n### Management\\n\\n```bash\\nsudo systemctl status health-bridge\\nsudo systemctl restart health-bridge\\nsudo journalctl -u health-bridge -f\\n\\n# Test ingest\\ncurl -s -X POST http://100.87.116.90:3007/ingest \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\" \\\\\\n -H \\\"Content-Type: application/json\\\" \\\\\\n -d '{\\\"records\\\":[{\\\"type\\\":\\\"steps\\\",\\\"count\\\":5000}]}'\\n\\n# Query summary\\ncurl -s http://100.87.116.90:3007/summary?days=3 \\\\\\n -H \\\"Authorization: Bearer XXMYWq-ft146fRL0AlNV_5P9Vg4NNJJa4pHxqDvzRkg\\\"\\n```\\n\\n## Android App\\n\\n**Package:** `com.healthbridge.app` \\n**Source:** `~/health-bridge/android-app/` \\n**APK:** `~/health-bridge/static/health-bridge.apk` (served at `/download`)\\n\\n### Data Types Synced (22 total)\\n\\nAggregated: steps, distance, floors, active kcal, total kcal \\nHeart: heart rate samples, resting HR, HRV \\nVitals: blood pressure, blood glucose, O₂ saturation, body temperature, respiratory rate \\nBody: weight, body fat, height \\nSleep: sessions \\nExercise: sessions \\nNutrition: meals, hydration \\nMetabolic: BMR\\n\\n### Build & Deploy\\n\\n**Prerequisites on Oracle ARM64:**\\n- Java 17 (`openjdk-17-jdk-headless`)\\n- Android SDK at `/opt/android-sdk` (cmdline-tools, platform 36, build-tools 34.0.0)\\n- `box64` for x86_64 AAPT2 emulation\\n- Gradle 8.11.1+ (wrapper in project)\\n\\n```bash\\ncd ~/health-bridge/android-app\\n./gradlew assembleDebug --no-daemon\\n\\n# Copy to static\\ncp app/build/outputs/apk/debug/app-debug.apk ~/health-bridge/static/health-bridge.apk\\n\\n# Install on Pixel 9a (ADB must be connected)\\nadb -s 100.111.239.9: install -r ~/health-bridge/static/health-bridge.apk\\n```\\n\\n## ADB Connection to Pixel\\n\\nSee `pixel-6a` skill for full ADB flow. Pixel 9a IP: `100.111.239.9` (varies).\\n\\nQuick reconnect:\\n```bash\\n# Pair first (needs fresh code from phone)\\nadb pair 100.111.239.9: \\n\\n# Connect (different port!)\\nadb connect 100.111.239.9:\\nadb devices # confirm \\\"device\\\" status\\n```\\n\\n## Health Connect Intent\\n\\nThe app opens Health Connect settings via:\\n```kotlin\\nIntent(Intent.ACTION_MAIN).apply {\\n setClassName(\\n \\\"com.google.android.healthconnect.controller\\\",\\n \\\"com.android.healthconnect.controller.navigation.TrampolineActivity\\\"\\n )\\n flags = Intent.FLAG_ACTIVITY_NEW_TASK\\n}\\n```\\n\\nFallback: `ConnectAppsOnboardingActivity`\\n\\n## Pitfalls\\n\\n- **Health Connect API 1.1.0** changed types significantly: Energy/Length/Mass values need `.inKilocalories`/`.inMeters`/etc., not raw numbers. `SleepSessionRecord.stage` → removed. `NutritionRecord.time` → `startTime`. `BloodPressureRecord.bodyPosition` is non-nullable.\\n- **compileSdk 36 required** for `health.connect:connect-client:1.1.0`\\n- **Box64 needed** on ARM64 — Android SDK build-tools ship x86_64 AAPT2 binaries\\n- **Permissions:** User must grant ALL types in Health Connect manually. The app opens the HC settings screen; it cannot auto-grant.\\n- **HTTP only** (Tailscale mesh encrypts). `usesCleartextTraffic=true` in manifest.\\n- **Daily aggregate sanity:** Android should compute `today` aggregates from local start-of-day → now, not from the sync lookback window. Backend daily summaries should be idempotent overwrites/upserts, not additive sums of repeated manual/hourly syncs. After rebuilding/installing, ask Chicho to open Health Bridge and tap Sync Now, then compare `/summary?days=1` against Google Fit/Fitbit today values.\\n\", \"path\": \"fitness/health-bridge/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/fitness/health-bridge\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_LrYTiQFFR8fwRP48p8mkBHOK" }, { "role": "assistant", "content": "", "reasoning": "**Updating lesson plans**\n\nI need to create a patch with new lessons focusing on topics like provenance and deduplication, along with endpoints for debugging daily processes and columns. It might be helpful to include references too. I'm considering whether a duplicate for the android-health-connect-bridge is necessary since it seems to be loaded already. I should also reference the write_file function and update the SKILL.md with pointers and operational guidelines.", "finish_reason": "tool_calls", "reasoning_content": "**Updating lesson plans**\n\nI need to create a patch with new lessons focusing on topics like provenance and deduplication, along with endpoints for debugging daily processes and columns. It might be helpful to include references too. I'm considering whether a duplicate for the android-health-connect-bridge is necessary since it seems to be loaded already. I should also reference the write_file function and update the SKILL.md with pointers and operational guidelines.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqDOiUfnESjr-DiZdD0pW3BnEjQXYIEoiSZISkV5-7cMSSmWxk_XDIplt-6qzMEvIeS452owLVzVjMW2nATiIjJdwYGuxOb1TpUvXs9nS0BXD8XuQJ9aZLjVva3kGk1Wm2_gphPA8UYporKJDJsVXZuPll5jFpJTUIEcCvc8cIjpsN77yrQy3jOwA92x7AQ3YXsH7UATDWDIBW5RqbX3w-arblD9O4XeulLAZuNV-ejsbMY0AqgVwO-tRgr1R5w65yc9wGNKyj-2ip7-LMUpYmEa4giV0QOvronxlkvN8Ep3Gmlk6A2f3eZ1m7ZxzPfKd5XtHkeDACQmNyOZNiEAdULQ_76drMiHFIM72JyfKmhGRhaZ7BVUT-tqRZUHq31FRJNEPeWjLOds0g4FZgUK_5MDaYAwJnYO8hBbpyO37B2DUPCobq7E1ZFyIuTDkFlU_LhZGMt02Z-w8uKDo4H2gau8cf6IJ6z88LCf-esry4l7VVDgfDXqqoSi6FV1X6HGE-HEjoYlLaFu5MG0QnsjYSjM8tKy-gmka_KzXZFMrG0XfDsTuldi9AIxvBgXiWNUwJeMtv4J1XugOOnShnOP_LjnbuAcsq7Rj-jZj0g6s-UIwehktwPmpJkYXAH6mGDdQzy6iCjUXLgkv_HGUVw5iw1SdckB7ahxkRN0kcmOw2B3Hybh11xFyvJRraLJF3imslu09D4tCqTIHoJ6eoc5WMt3mydjTLMRMRzg45xqCptrejaPJ3FpRDOPVCyJIhOR78uyP8fMtBmAW9_lJFLXPNas3T--JLDZMckVvJSUfNGW7upjlFyw0UN__MNiNP7LLU3OPnx7ZnQh80kRmDWTECJooUfDJqHQZG1Bvyf2LWplA_ftM6uNxCdQG_6gTaOpM7bpQD21McfVSNDcX7Xnu2cwRCfIhmNmiJT7ylp2BTNnIQYmxpfY3uO6-S41oZKqj6SPuqa2L_67DAO_yP2QPPxUUr6fm9ERmOHeMvGcGkkdaYtZ_4SMnT-xK71sy5ZeZCWFc_WAUWEw1yIPOiS8uNRPm4wVfFVw5GuA-d_UOj1jOljfeCA_TxeAlvme0JOwFiIkarSdj-yJGwJB6H1m4vI5HiwyEBcpJEBk96L3q6lTs1dhdsuLzSMxXPgJyx6vWyYw5_EdUn31x747eHvGN1hbEc3h367mlVn5q3hQhL8AaPboWGAAYd4whYZzDmlnxtBmI5Wp54hF8yZsVJNb0P9XZM2hCjxGAsFOJCUrj_q_IymNmKhNzm98_jjLDiccsT2tk2uu8lfHeUvkO5VjOkSAohTw==", "id": "rs_06d034090aab91f3016a0ce891cbe88194bdd0ceff79e52fe1", "summary": [ { "type": "summary_text", "text": "**Updating lesson plans**\n\nI need to create a patch with new lessons focusing on topics like provenance and deduplication, along with endpoints for debugging daily processes and columns. It might be helpful to include references too. I'm considering whether a duplicate for the android-health-connect-bridge is necessary since it seems to be loaded already. I should also reference the write_file function and update the SKILL.md with pointers and operational guidelines." } ] } ], "tool_calls": [ { "id": "call_KrJZ61NH4muLGKHvWzxIbVGF", "call_id": "call_KrJZ61NH4muLGKHvWzxIbVGF", "response_item_id": "fc_06d034090aab91f3016a0ce894945881948a808e0bdca70af0", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"write_file\",\"name\":\"health-bridge\",\"file_path\":\"references/provenance-dedupe-model.md\",\"file_content\":\"# Health Bridge provenance + dedupe model\\n\\nUse this when rebuilding summaries or designing dashboard cards from mixed sources (Health Connect, Google Fit/Fitbit-style aggregations, Hevy).\\n\\n## Source classification\\n\\nClassify records by semantic provenance before aggregating:\\n\\n- **Explicit workouts**: Hevy workout logs and Health Connect exercise sessions. These are intentional workouts and should feed `workout_minutes`.\\n- **Automatic activity**: Google Fit / Health Connect auto activity minutes, walking/running/cycling aggregates, step-derived movement. These feed `auto_activity_minutes`.\\n- **Nutrition intake**: Nutrition records/meals/calories consumed. These feed `nutrition_kcal` only.\\n- **Energy expenditure**: active/total calories burned. Keep separate from nutrition intake; never merge burned kcal and eaten kcal into one unlabeled field.\\n\\nPreferred dashboard field:\\n\\n```text\\nexercise_minutes = workout_minutes + auto_activity_minutes\\n```\\n\\nShow the split in debug or hover text so the number is explainable.\\n\\n## Dedupe/idempotency\\n\\nRepeated manual/hourly syncs must not inflate daily totals.\\n\\nUse a canonical fingerprint per raw event/aggregate, based on stable fields such as:\\n\\n```text\\nsubject | source | type | start_time | end_time | value/count | unit | external_id/origin if present\\n```\\n\\nRules:\\n\\n- Upsert by canonical fingerprint where possible.\\n- Ignore or de-prioritize legacy aggregate records that overlap newer typed records for the same source/day.\\n- Filter duplicate `health_connect` legacy rows when a clearer typed source exists.\\n- Treat old 7-day aggregates as stale summary artifacts, not atomic daily data, unless there is no better source.\\n\\n## Query safety\\n\\nFor SQLite-backed FastAPI endpoints, use explicit column lists instead of `SELECT *`. This keeps old clients/endpoints safe across additive migrations.\\n\\n## Debugging endpoint pattern\\n\\nExpose a per-day audit endpoint:\\n\\n```http\\nGET /debug/day?date=YYYY-MM-DD&subject=chicho\\n```\\n\\nIt should return both the final summary numbers and the contributing classified records/fingerprints. This is the fastest way to verify whether an odd dashboard number is a source issue, dedupe issue, or aggregation issue.\\n\\n## Verification checklist\\n\\nAfter changing aggregation logic:\\n\\n1. Run unit tests covering idempotent ingest, duplicate syncs, explicit workout split, auto activity split, and nutrition/energy separation.\\n2. Rebuild summaries from raw records.\\n3. Spot-check several real dates through `/debug/day`.\\n4. Confirm public summary fields have human-readable provenance (`workout`, `auto`, `nutrition`) rather than a single ambiguous `exercise`/`kcal` bucket.\\n\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"File 'references/provenance-dedupe-model.md' written to skill 'health-bridge'.\", \"path\": \"/home/ubuntu/.hermes/skills/fitness/health-bridge/references/provenance-dedupe-model.md\"}", "tool_call_id": "call_KrJZ61NH4muLGKHvWzxIbVGF" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_XYp67kxOnNt9hU7Lb4Lknzqy", "call_id": "call_XYp67kxOnNt9hU7Lb4Lknzqy", "response_item_id": "fc_06d034090aab91f3016a0ce89fde208194a01d8587c0ac5c8a", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-bridge\",\"old_string\":\"### Endpoints\\n\\n| Method | Path | Auth | Purpose |\\n|--------|------|------|---------|\\n| GET | `/health` | none | Ping |\\n| GET | `/` | none | Status |\\n| POST | `/ingest` | Bearer | Receive Health Connect data |\\n| GET | `/summary?days=7` | Bearer | Daily aggregated summary |\\n| GET | `/data?data_type=steps&limit=100` | Bearer | Raw records |\\n| GET | `/download` | none | Download latest APK |\\n\",\"new_string\":\"### Endpoints\\n\\n| Method | Path | Auth | Purpose |\\n|--------|------|------|---------|\\n| GET | `/health` | none | Ping |\\n| GET | `/` | none | Status |\\n| POST | `/ingest` | Bearer | Receive Health Connect data |\\n| GET | `/summary?days=7` | Bearer | Daily aggregated summary |\\n| GET | `/data?data_type=steps&limit=100` | Bearer | Raw records |\\n| GET | `/debug/day?date=YYYY-MM-DD&subject=chicho` | Bearer | Audit one day's classified inputs, fingerprints, and final summary |\\n| GET | `/download` | none | Download latest APK |\\n\\nFor aggregation provenance/dedupe rules, see `references/provenance-dedupe-model.md`.\\n\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-bridge' (1 replacement).\"}", "tool_call_id": "call_XYp67kxOnNt9hU7Lb4Lknzqy" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_Kd3vuFgwYVvQaq0EsT3TFDng", "call_id": "call_Kd3vuFgwYVvQaq0EsT3TFDng", "response_item_id": "fc_06d034090aab91f3016a0ce8a77bf081949f06c1b497a8c3dd", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"health-bridge\",\"old_string\":\"- **Daily aggregate sanity:** Android should compute `today` aggregates from local start-of-day → now, not from the sync lookback window. Backend daily summaries should be idempotent overwrites/upserts, not additive sums of repeated manual/hourly syncs. After rebuilding/installing, ask Chicho to open Health Bridge and tap Sync Now, then compare `/summary?days=1` against Google Fit/Fitbit today values.\\n\",\"new_string\":\"- **Daily aggregate sanity:** Android should compute `today` aggregates from local start-of-day → now, not from the sync lookback window. Backend daily summaries should be idempotent overwrites/upserts, not additive sums of repeated manual/hourly syncs. After rebuilding/installing, ask Chicho to open Health Bridge and tap Sync Now, then compare `/summary?days=1` against Google Fit/Fitbit today values.\\n- **Mixed-source provenance:** Do not collapse explicit workouts, automatic movement, nutrition intake, and burned energy into ambiguous totals. Keep `workout_minutes`, `auto_activity_minutes`, `exercise_minutes = workout + auto`, and `nutrition_kcal` separate. Use canonical fingerprints for dedupe and `/debug/day` to audit final numbers. See `references/provenance-dedupe-model.md`.\\n- **SQLite migration safety:** Use explicit column lists in endpoints and rebuild scripts; avoid `SELECT *` because additive columns can break tuple unpacking or clients after schema changes.\\n\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'health-bridge' (1 replacement).\"}", "tool_call_id": "call_Kd3vuFgwYVvQaq0EsT3TFDng" }, { "role": "assistant", "content": "Updated the `health-bridge` skill.\n\nChanges:\n- Added `references/provenance-dedupe-model.md` with the durable aggregation model:\n - explicit workouts vs automatic activity\n - nutrition intake vs burned energy\n - canonical fingerprint dedupe\n - stale legacy aggregate handling\n - `/debug/day` verification pattern\n - explicit-column SQLite endpoint safety\n- Patched `SKILL.md`:\n - added `/debug/day?date=YYYY-MM-DD&subject=chicho` to endpoints\n - added pointer to the new reference\n - expanded pitfalls with mixed-source provenance and SQLite migration safety\n\nNo new narrow skill created; this belongs under the existing class-level Health Bridge umbrella.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Updated the `health-bridge` skill.\n\nChanges:\n- Added `references/provenance-dedupe-model.md` with the durable aggregation model:\n - explicit workouts vs automatic activity\n - nutrition intake vs burned energy\n - canonical fingerprint dedupe\n - stale legacy aggregate handling\n - `/debug/day` verification pattern\n - explicit-column SQLite endpoint safety\n- Patched `SKILL.md`:\n - added `/debug/day?date=YYYY-MM-DD&subject=chicho` to endpoints\n - added pointer to the new reference\n - expanded pitfalls with mixed-source provenance and SQLite migration safety\n\nNo new narrow skill created; this belongs under the existing class-level Health Bridge umbrella." } ], "id": "msg_06d034090aab91f3016a0ce8aed4c481948ad2990562c48181", "phase": "final_answer" } ] } ] }