{
  "session_id": "20260507_023037_353f38",
  "model": "gpt-5.5",
  "base_url": "https://chatgpt.com/backend-api/codex",
  "platform": "discord",
  "session_start": "2026-05-07T02:30:37.816855",
  "last_updated": "2026-05-07T02:31:18.756813",
  "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. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# 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<tool_persistence>\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</tool_persistence>\n\n<mandatory_tool_use>\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</mandatory_tool_use>\n\n<act_dont_ask>\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</act_dont_ask>\n\n<prerequisite_checks>\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</prerequisite_checks>\n\n<verification>\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</verification>\n\n<missing_context>\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</missing_context>\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [97% — 2,137/2,200 chars]\n══════════════════════════════════════════════\nIf you are reading this during session startup:\n§\nPrefer `MEMORIES.md` for curated long-term memory.\n§\nUse `memory/YYYY-MM-DD.md` files for recent context.\n§\nDo not rely on `exec` just to list files that are already known.\n§\nNo usar Apple, no Spotify (YouTube Music), no Trello (Asana). Audio solo si Chicho lo pide explícitamente. Ya están en el user profile, no repetir.\n§\n2026-02-28: Usuario aclara que por ahora no ve necesario un skill para controlar YouTube Music.\n§\nMyristica WA bot: repo github.com/ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel miopenclaw-vnic; Baileys→webhook→Mistral→Supabase.\n§\n2026-04-04: personal-browser-cdp skill creado y testeado. CDP funciona bien via Chrome en Windows + SSH reverse tunnel.\n- lanacion.com.ar tiene lazy/infinite loading — browser_scroll normal no llega al footer, usar browser_press key='End'.\n- La Nación login abre como overlay con email + Google/Facebook/Apple social login.\n§\nHermes WebUI session deletion is permanent (no trash). But CODE changes persist as uncommitted git changes in ~/hermes-webui/. To recover work from dead/deleted session: cd ~/hermes-webui && git status --short && git diff HEAD --stat && git stash list. Session JSON files (~/.hermes/webui/sessions/*.json) ARE gone permanently.\n§\nUser (Chicho) prefers direct, no-filler communication. Environment: Ubuntu 24.04 ARM64, Oracle Cloud. WebUI source at ~/hermes-webui. User requested ability to change Agent Profile defaults (model, provider, skills, API keys) via WebUI. Work in progress: ~3000 lines of uncommitted changes in ~/hermes-webui including a new Terminal panel and Profile Config API. Found bug in api/routes.py: 'if val is None and val == \"\"' (should be 'or').\n§\n2026-04-30: Lección clave de Chicho — Cuando algo falla (anti-bot, modelo, config), NO poner excusas. Buscar plan B/C/D sin rodeos. Camoufox para scraping anti-DataDome, Gemini 3.0 Flash para vision, skill-switching para limitaciones. Soluciones > explicaciones. También: vision config fijada a `google/gemini-3-flash-preview` via OpenRouter. Chicho prefiere 3.0, no discutir.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,363/1,375 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 usa dispositivos Apple\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 respuestas directas; si pregunta por Discord/plataformas, quiere límites claros sin que le cambien el flujo.\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§\nContext: ---\n§\nAPIs config: DeepSeek (key en Bitwarden, en Hermes), Kimi K2.5, Mistral ($10), OpenRouter ($0.53 backup), ClawRouter wallet 0x1d1776D... ($11.70 Base). DeepSeek/Kimi NO como daily driver — solo workers/subagentes.\n§\nDog name is Chivi (with v), not Chibi. Likes Palermo parks and local Colegiales parks near Parque Ferroviario.\n\n# Honcho Memory\nActive (hybrid mode). Relevant context is auto-injected AND memory tools are available. Use honcho_profile for a quick factual snapshot, honcho_search for raw excerpts, honcho_context for raw peer context, honcho_reasoning for synthesized answers (pass reasoning_level minimal/low/medium/high/max — you pick the depth per call), honcho_conclude to save facts about the user.\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<available_skills>\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 + specialist-roster conventions + ...\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  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  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  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, and create 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    - linear: Linear: manage issues, projects, teams via GraphQL + curl.\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 via curl: pages, databases, blocks, search.\n    - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n    - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n  red-teaming:\n    - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n  research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n    - arxiv: Search arXiv papers by keyword, author, category, or ID.\n    - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n    - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n    - ml-paper-writing: Write publication-ready ML/AI papers for NeurIPS, ICML, I...\n    - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n  smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n    - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n  social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n    - 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    - 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    - 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</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\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\nConversation started: Thursday, May 07, 2026 02:30 AM\nModel: gpt-5.5\nProvider: openai-codex\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.",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "memory",
        "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "add",
                "replace",
                "remove"
              ],
              "description": "The action to perform."
            },
            "target": {
              "type": "string",
              "enum": [
                "memory",
                "user"
              ],
              "description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
            },
            "content": {
              "type": "string",
              "description": "The entry content. Required for 'add' and 'replace'."
            },
            "old_text": {
              "type": "string",
              "description": "Short unique substring identifying the entry to replace or remove."
            }
          },
          "required": [
            "action",
            "target"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_manage",
        "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "create",
                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
              ],
              "description": "The action to perform."
            },
            "name": {
              "type": "string",
              "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
            },
            "content": {
              "type": "string",
              "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
            "category": {
              "type": "string",
              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
            "file_path": {
              "type": "string",
              "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
            },
            "file_content": {
              "type": "string",
              "description": "Content for the file. Required for 'write_file'."
            }
          },
          "required": [
            "action",
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_view",
        "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
            },
            "file_path": {
              "type": "string",
              "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skills_list",
        "description": "List available skills (name + description). Use skill_view(name) to load full content.",
        "parameters": {
          "type": "object",
          "properties": {
            "category": {
              "type": "string",
              "description": "Optional category filter to narrow results"
            }
          }
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "honcho_profile",
        "description": "Retrieve or update a peer card from Honcho — a curated list of key facts about that peer (name, role, preferences, communication style, patterns). Pass `card` to update; omit `card` to read.  If the card is empty, the result includes a `hint` field explaining why (observation disabled, fresh peer, dialectic layer still warming up, etc.) — this is NOT an error.  Peer cards accumulate over time from observed conversation.",
        "parameters": {
          "type": "object",
          "properties": {
            "peer": {
              "type": "string",
              "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace."
            },
            "card": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "New peer card as a list of fact strings. Omit to read the current card."
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "honcho_search",
        "description": "Semantic search over Honcho's stored context about a peer. Returns raw excerpts ranked by relevance — no LLM synthesis. Cheaper and faster than honcho_reasoning. Good when you want to find specific past facts and reason over them yourself.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "What to search for in Honcho's memory."
            },
            "max_tokens": {
              "type": "integer",
              "description": "Token budget for returned context (default 800, max 2000)."
            },
            "peer": {
              "type": "string",
              "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace."
            }
          },
          "required": [
            "query"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "honcho_reasoning",
        "description": "Ask Honcho a natural language question and get a synthesized answer. Uses Honcho's LLM (dialectic reasoning) — higher cost than honcho_profile or honcho_search. Can query about any peer via alias or explicit peer ID. Pass reasoning_level to control depth: minimal (fast/cheap), low (default), medium, high, max (deep/expensive). Omit for configured default.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "A natural language question."
            },
            "reasoning_level": {
              "type": "string",
              "description": "Override the default reasoning depth. Omit to use the configured default (typically low). Guide:\n- minimal: quick factual lookups (name, role, simple preference)\n- low: straightforward questions with clear answers\n- medium: multi-aspect questions requiring synthesis across observations\n- high: complex behavioral patterns, contradictions, deep analysis\n- max: thorough audit-level analysis, leave no stone unturned",
              "enum": [
                "minimal",
                "low",
                "medium",
                "high",
                "max"
              ]
            },
            "peer": {
              "type": "string",
              "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace."
            }
          },
          "required": [
            "query"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "honcho_context",
        "description": "Retrieve full session context from Honcho — summary, peer representation, peer card, and recent messages. No LLM synthesis. Cheaper than honcho_reasoning. Use this to see what Honcho knows about the current conversation and the specified peer.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "Optional focus query to filter context. Omit for full session context snapshot."
            },
            "peer": {
              "type": "string",
              "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace."
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "honcho_conclude",
        "description": "Write or delete a conclusion about a peer in Honcho's memory. Conclusions are persistent facts that build a peer's profile. You MUST pass exactly one of: `conclusion` (to create) or `delete_id` (to delete). Passing neither is an error. Deletion is only for PII removal — Honcho self-heals incorrect conclusions over time.",
        "parameters": {
          "type": "object",
          "properties": {
            "conclusion": {
              "type": "string",
              "description": "A factual statement to persist. Provide this when creating a conclusion. Do not send it together with delete_id."
            },
            "delete_id": {
              "type": "string",
              "description": "Conclusion ID to delete for PII removal. Provide this when deleting a conclusion. Do not send it together with conclusion."
            },
            "peer": {
              "type": "string",
              "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace."
            }
          },
          "required": []
        }
      }
    }
  ],
  "message_count": 62,
  "messages": [
    {
      "role": "user",
      "content": "[nachlakes] te acordás de este canal de discord y para que lo creamos?"
    },
    {
      "role": "assistant",
      "content": "",
      "tool_calls": [
        {
          "id": "call_LiPZCb9IU4stoAWu9WXD34Lv",
          "call_id": "call_LiPZCb9IU4stoAWu9WXD34Lv",
          "response_item_id": "fc_08a1a35874a23a300169fbf6ce57288191b201b17eb870e3a2",
          "type": "function",
          "function": {
            "name": "session_search",
            "arguments": "{\"query\":\"hevy OR Discord OR channel OR workout OR entrenamientos\",\"limit\":5}"
          }
        }
      ],
      "codex_reasoning_items": [
        {
          "type": "reasoning",
          "encrypted_content": "gAAAAABp-_bOhRIzVo5hFpbmr87gVzedQwsjlTRZnPOlUeNM824C3_JQ3Xmkr_zYqqnvTnnTL03Ii9hYX134oK4TJ5QS19newO_PND_Gwy1tp0d2XFYrbY-aM-NqPRoUE0npgSATbfjqvtYYQ8ZI1YT6NnIpqqoxcZqBKwJz891DPcACGYOMjm2-bj43LlaIZyzeRHCCFXwmOYO1d_UXDDPzjZWYx9AOA_JROdL4HkQlaj4-gBQIH9gblW5iQH75PpL4rUNzyjY0QR1oU_zaG_Lrco6Jmp4Vt9JwxEub3lBUMjOAAr3uQh_Bhox0uSbyk8E637xCQKDCJdlQQapIhvF1rm70sY5SASixfwOoiUCc8c-S0qlzZyp3BbSXOuMxhC5PQs6001AehdvHgfbkudre-UCw4L9_u_Xru5jPtrcmAmbtCL3C3c3HxUF_t0-eW1npXSHljfVtyGsWZJ0XO6OmyegpdYZHj2DG35A1teXkn-serPY6eFsbXfJ6lhhaH9fsvizGVFu7gLL9Rgx-VVIgiYCz8XGyDdOS_E9Xb2TuxX0K_RPxvvk3maQKM7AqaOCkWaKnx-jcAnIXxjcPav_XNijwjPlnV9TtJLOW_fHvYUg4B--2XbfDaNSLa4xBoTQqE4KRyfzljM6WftvTtMviRJdRwN5u2O5rcu5lrtWTxahCuW52adzfz0hd2P31VxOmvvtqcX_ffGrHwVXRPx8fiGMXBHABNBmQ8ZrqfOyGnvJKtpyG3rpGoqmrkHPS1QdtHIWT9gDckZ058mHQUdw34D32XipvY7zfnUjrc5OgYi2MtgFSAC9cqvtMiwSJoTQLZrAJYT3WWQE8y0ERvve5mGLLqY4OBJa9n-nyv-HwUrKYmLV1ODpzMUyiAFpUtUrjBkfb6NkbM73Gf1cmtEmdD5fLuwbtS42pRSD43XEGIokvA7TW76PR2xCwarkpNyV6ct5m21PPzs4HoSk2DnaGEaFa6-qjjGLEIFaRFf6y0dVr5LGcUoKj333ygLs1O_hiMBCommruN3XrUf9psKpCCpVPP3rLRambfUuzc-d_tAH3r8TFSN3Tx4Xk5xnMIQW5s-n5v8Mexf0GiNpWmPKOP_XUbQhp_cSAtFBhOCYEAJvO9EBC7X-QBCVGQl1trsNf_VXtXI32l5RJZ7l514ND_7ewWtbNryXC0kb_hC96Pw7K6-iCQ88=",
          "id": "rs_08a1a35874a23a300169fbf6cc8ebc8191826c49d1adff0ba7",
          "summary": []
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"query\": \"hevy OR Discord OR channel OR workout OR entrenamientos\", \"results\": [{\"session_id\": \"20260404_032218_613f32\", \"when\": \"April 04, 2026 at 03:23 AM\", \"source\": \"cli\", \"model\": \"gpt-5.4\", \"summary\": \"The user had been troubleshooting Hermes gateway/workspace behavior, with emphasis on messaging platforms—especially Discord channels/triggers—and API availability. The visible part of the transcript did not include any concrete Hevy/workout/“entrenamientos” implementation details, but it did include Discord/channel-related work and gateway fixes.\\n\\nKey recap:\\n\\n1. **User goal / request**\\n   - The user wanted the assistant to continue fixing and verifying Hermes gateway/workspace issues.\\n   - The relevant focus was ensuring the gateway exposed the expected APIs, restarting services, and getting messaging integrations—Telegram and especially Discord—working.\\n   - Discord-specific concerns included whether Discord was enabled, whether the bot token was loaded, and how Discord trigger behavior worked in channels.\\n\\n2. **Actions taken and outcomes**\\n   - The assistant inspected `/home/ubuntu/.hermes/hermes-agent/gateway/platforms/api_server.py`.\\n   - It found that the current codebase already registered many routes, including:\\n     - `/health`\\n     - `/v1/health`\\n     - `/v1/models`\\n     - `/v1/chat/completions`\\n     - `/v1/responses`\\n     - `/api/sessions`\\n     - `/api/sessions/search`\\n     - `/api/skills`\\n     - `/api/memory`\\n     - `/api/config`\\n     - `/api/jobs`\\n   - The assistant concluded that earlier 404s were likely not due to missing routes in the codebase.\\n   - It inspected auth handling in `api_server.py`, including `_check_auth`, which returned `401` for invalid Bearer tokens when an API key was configured.\\n   - It inspected the workspace gateway capability probe in `/home/ubuntu/hermes-workspace/src/server/gateway-capabilities.ts`.\\n   - It identified a bug in browser-side gateway proxying: `HERMES_API` always defaulted to `http://127.0.0.1:8642`, which was wrong in browser context.\\n   - It patched `gateway-capabilities.ts` so browser code used `/api/hermes-proxy`, while server-side code continued to use `process.env.HERMES_API_URL || 'http://127.0.0.1:8642'`.\\n   - It inspected the cron jobs API binding in `api_server.py` and found that cron functions imported into the class could be incorrectly bound as instance methods.\\n   - It patched the cron imports to wrap them as `staticmethod(...)`, preventing incorrect implicit `self` binding.\\n\\n3. **Specific patches / technical decisions**\\n   - File patched: `/home/ubuntu/.hermes/hermes-agent/gateway/platforms/api_server.py`\\n     - Changed cron imports from direct aliases such as:\\n       ```python\\n       list_jobs as _cron_list\\n       ```\\n       to temporary names such as:\\n       ```python\\n       list_jobs as _cron_list_fn\\n       ```\\n       then assigned:\\n       ```python\\n       _cron_list = staticmethod(_cron_list_fn)\\n       _cron_get = staticmethod(_cron_get_fn)\\n       _cron_create = staticmethod(_cron_create_fn)\\n       _cron_update = staticmethod(_cron_update_fn)\\n       _cron_remove = staticmethod(_cron_remove_fn)\\n       _cron_pause = staticmethod(_cron_pause_fn)\\n       _cron_resume = staticmethod(_cron_resume_fn)\\n       _cron_trigger = staticmethod(_cron_trigger_fn)\\n       ```\\n   - File patched: `/home/ubuntu/hermes-workspace/src/server/gateway-capabilities.ts`\\n     - Changed:\\n       ```ts\\n       export let HERMES_API =\\n         process.env.HERMES_API_URL || 'http://127.0.0.1:8642'\\n       ```\\n       to:\\n       ```ts\\n       export let HERMES_API =\\n         typeof window !== 'undefined'\\n           ? '/api/hermes-proxy'\\n           : (process.env.HERMES_API_URL || 'http://127.0.0.1:8642')\\n       ```\\n   - The TypeScript lint/check step failed because `tsc` was not installed:\\n     ```text\\n     This is not the tsc command you are looking for\\n     To get access to the TypeScript compiler, tsc, from the command line either:\\n     - Use npm install typescript ...\\n     - Use yarn ...\\n     ```\\n\\n4. **Service restart and verification**\\n   - The assistant started the gateway and workspace:\\n     ```bash\\n     hermes gateway run --replace\\n     pnpm dev --host 0.0.0.0 --port 3000\\n     ```\\n   - Reported processes:\\n     ```text\\n     gateway pid: 1684160\\n     workspace pid: 1684161\\n     1684160 /home/ubuntu/.hermes/hermes-agent/venv/bin/python /home/ubuntu/.local/bin/hermes gateway run --replace\\n     1684161 node /home/linuxbrew/.linuxbrew/bin/pnpm dev --host 0.0.0.0 --port 3000\\n     ```\\n   - Workspace/Vite came up:\\n     ```text\\n     VITE v7.3.1 ready in 2604 ms\\n     Local:   http://localhost:3000/\\n     Network: http://10.0.0.78:3000/\\n     Network: http://100.87.116.90:3000/\\n     ```\\n   - Gateway health and models were verified:\\n     ```text\\n     {\\\"status\\\": \\\"ok\\\", \\\"platform\\\": \\\"hermes-agent\\\"}\\n     {\\\"object\\\": \\\"list\\\", \\\"data\\\": [{\\\"id\\\": \\\"hermes-agent\\\", ...}]}\\n     ```\\n   - API endpoints were verified as working:\\n     ```text\\n     http://127.0.0.1:8642/api/sessions -> HTTP 200\\n     http://127.0.0.1:8642/api/skills -> HTTP 200\\n     http://127.0.0.1:8642/api/memory -> HTTP 200\\n     http://127.0.0.1:8642/api/config -> HTTP 200\\n     http://127.0.0.1:8642/api/jobs -> HTTP 200 {\\\"jobs\\\": []}\\n     ```\\n   - Gateway state showed Telegram and API server connected:\\n     ```json\\n     {\\n       \\\"pid\\\": 1684160,\\n       \\\"kind\\\": \\\"hermes-gateway\\\",\\n       \\\"argv\\\": [\\\"/home/ubuntu/.hermes/hermes-agent/hermes_cli/main.py\\\", \\\"gateway\\\", \\\"run\\\", \\\"--replace\\\"],\\n       \\\"gateway_state\\\": \\\"running\\\",\\n       \\\"platforms\\\": {\\n         \\\"telegram\\\": {\\\"state\\\": \\\"connected\\\"},\\n         \\\"api_server\\\": {\\\"state\\\": \\\"connected\\\"}\\n       }\\n     }\\n     ```\\n\\n5. **Discord/channel-specific findings**\\n   - The assistant inspected `/home/ubuntu/.hermes/hermes-agent/gateway/platforms/discord.py`.\\n   - It found Discord trigger/mention logic:\\n     - `DISCORD_IGNORE_NO_MENTION`\\n     - `DISCORD_REQUIRE_MENTION`\\n     - `DISCORD_TRIGGER_KEYWORD`\\n     - `discord.require_mention`\\n     - `discord.free_response_channels`\\n     - `discord.auto_thread`\\n   - Relevant code behavior:\\n     - Server channels required mention by default.\\n     - Free-response channels could bypass mention requirements.\\n     - The bot also treated a configured keyword as a mention trigger:\\n       ```python\\n       bot_keyword = os.getenv(\\\"DISCORD_TRIGGER_KEYWORD\\\", \\\"\\\").lower().strip()\\n       has_mention = self._client.user in message.mentions if self._client.user else False\\n       has_keyword = bot_keyword in message.content.lower()\\n       ```\\n     - If `require_mention` was true and the channel was not a free-response channel or bot thread, messages without mention or keyword were ignored.\\n   - The config file `/home/ubuntu/.hermes/config.yaml` had:\\n     ```yaml\\n     discord:\\n       require_mention: true\\n       free_response_channels: ''\\n     ```\\n     but under `platforms:` it only showed:\\n     ```yaml\\n     platforms:\\n       api_server:\\n         enabled: true\\n         host: 0.0.0.0\\n         port: 8642\\n     ```\\n     so Discord was not explicitly listed there.\\n   - The assistant found `DISCORD_TRIGGER_KEYWORD=pipo` and a redacted `DISCORD_BOT_TOKEN` in `.env`.\\n   - However, Discord did not appear in the running gateway state, and no Discord startup logs appeared.\\n   - The assistant inspected `/home/ubuntu/.hermes/hermes-agent/gateway/config.py` and confirmed Discord should auto-enable if `DISCORD_BOT_TOKEN` was present in the process environment:\\n     ```python\\n     discord_token = os.getenv(\\\"DISCORD_BOT_TOKEN\\\")\\n     if discord_token:\\n         if Platform.DISCORD not in config.platforms:\\n             config.platforms[Platform.DISCORD] = PlatformConfig()\\n         config.platforms[Platform.DISCORD].enabled = True\\n         config.platforms[Platform.DISCORD].token = ...\\n     ```\\n   - The conclusion was that `DISCORD_BOT_TOKEN` existed in `.env` but was not exported into the gateway process environment. Only `DISCORD_TRIGGER_KEYWORD` appeared to be available to the running process.\\n   - The recommended restart command was:\\n     ```bash\\n     cd ~/.hermes && set -a && source .env && set +a && hermes gateway run --replace\\n     ```\\n   - A command that would have killed/restarted the running gateway was blocked by the user/system:\\n     ```text\\n     BLOCKED: User denied. Do NOT retry.\\n     ```\\n\\n6. **Rate-limit / unresolved issues**\\n   - The gateway was running but old sessions were triggering OpenAI Codex rate limits:\\n     ```text\\n     RateLimitError [HTTP 429]\\n     HTTP 429: The usage limit has been reached\\n     Provider: openai-codex\\n     Model: gpt-5.4\\n     Endpoint: https://chatgpt.com/backend-api/codex\\n     ```\\n   - The logs said the plan was Plus and included a reset timestamp:\\n     ```text\\n     resets_at: 1775290201\\n     resets_in_seconds: ~13648\\n     ```\\n   - Fallback attempts failed:\\n     ```text\\n     resolve_provider_client: openai-codex requested but no Codex OAuth token found (run: hermes model)\\n     Fallback to openai-codex failed: provider not configured\\n     ```\\n   - Debug dumps were written under:\\n     ```text\\n     /home/ubuntu/.hermes/sessions/request_dump_20260403_205315_3b399316_20260404_042248_144659.json\\n     /home/ubuntu/.hermes/sessions/request_dump_20260404_042232_84d6a588_20260404_042248_385553.json\\n     ```\\n   - The assistant concluded Telegram was connected but replies were blocked by model/provider rate limits.\\n   - Discord remained unresolved because the gateway needed to be restarted with `.env` loaded, but the restart/kill command was blocked.\\n   - No concrete Hevy/workout/“entrenamientos” task was visible in the provided transcript segment.\"}, {\"session_id\": \"20260407_150632_3e0332\", \"when\": \"April 07, 2026 at 03:11 PM\", \"source\": \"cli\", \"model\": \"qwen/qwen3.6-plus:free\", \"summary\": \"The visible transcript did **not** contain substantive discussion about **Hevy**, **Discord**, **channels**, **workouts**, or **entrenamientos**. The conversation shown was about debugging and finishing work on the Hermes WebUI / Hermes Agent configuration and fallback behavior.\\n\\n### 1. What the user wanted to accomplish\\n\\n- The user first wanted to recover what had happened in a prior timed-out session after they had asked:\\n\\n  > “hello, in the hermes webui, I'd like to be able to change the defaults from Agent Profiles. Like the model, the provider, the skills, the api keys, etc.. can you please make the necessary changes? thanks!”\\n\\n- They wanted to know whether the previous coding work survived after the session timed out.\\n- After that, the user wanted:\\n  - The unfinished WebUI changes fixed and committed.\\n  - An explanation for why the CLI was using OpenRouter / `qwen/qwen3.6-plus:free` despite the user believing the conversation was configured to use Kimi.\\n  - The WebUI and Hermes config to be synchronized properly so platform/model settings used a single source of truth.\\n  - Automatic model fallback on rate limits, without bothering the user.\\n\\n### 2. Actions taken and outcomes\\n\\n#### Recovered / inspected previous work\\n\\n- The assistant inspected `~/hermes-webui`.\\n- It found:\\n  - Large uncommitted changes in the working tree.\\n  - A stash containing an older snapshot of related changes.\\n  - A new file: `static/terminal.js`.\\n- The assistant initially made a wrong assumption that some HTML elements were missing, but then confirmed all 21 expected element IDs existed in `static/index.html`.\\n\\n#### Reviewed Hermes WebUI changes\\n\\nImportant modified files included:\\n\\n- `api/config.py`\\n- `api/models.py`\\n- `api/routes.py`\\n- `api/streaming.py`\\n- `static/boot.js`\\n- `static/index.html`\\n- `static/messages.js`\\n- `static/panels.js`\\n- `static/sessions.js`\\n- `static/style.css`\\n- `static/ui.js`\\n- `static/terminal.js`\\n- `tests/test_model_resolver.py`\\n- `tests/test_session_reasoning.py`\\n- `tests/test_streaming_errors.py`\\n\\nThe assistant confirmed the prior work had added or partially added:\\n\\n- Backend API for profile config:\\n  - `GET /api/profile/config`\\n  - `POST /api/profile/config`\\n- WebUI Settings tabs:\\n  - General\\n  - Agent\\n  - API Keys\\n- Agent profile editing:\\n  - Model\\n  - Provider\\n  - Base URL\\n  - Reasoning effort\\n  - Max turns\\n  - System prompt\\n  - Personality\\n  - Toolsets\\n- API key editing with masking.\\n- Embedded terminal support using an iframe / `static/terminal.js`.\\n- Styling for terminal UI in `static/style.css`.\\n\\n#### Fixed a real bug\\n\\nThe assistant found and fixed a bug in `api/routes.py` inside `_write_env_changes`:\\n\\n```python\\nif val is None and val == '':\\n```\\n\\nThis condition was impossible because a value cannot be both `None` and `''`. It was changed to use `or`.\\n\\nThe bug affected removal / skipping of empty environment values when writing `.env` changes.\\n\\n#### Tried to apply stash\\n\\n- The assistant attempted to pop the stash.\\n- Git refused because the stash would overwrite already-modified files:\\n\\n```text\\nerror: Your local changes to the following files would be overwritten by merge:\\n\\tapi/config.py\\n\\tstatic/index.html\\n\\tstatic/panels.js\\n\\tstatic/style.css\\nPlease commit your changes or stash them before you merge.\\nAborting\\nIndex was not unstashed.\\n```\\n\\n- The assistant compared the stash and current working tree and concluded the stash was an older snapshot that had been superseded by the current working tree.\\n- It dropped the stash:\\n\\n```text\\nDropped stash@{0} (96db1f95a93782f467fa31367ab0ada958747aba)\\n```\\n\\n#### Verified syntax\\n\\nThe assistant ran a Python syntax / compile check and reported:\\n\\n```text\\nAll clean\\n```\\n\\nIt also checked that `Session` supported `reasoning_effort`:\\n\\n```text\\n36:class Session:\\n43:                 personality=None, reasoning_effort: str='',\\n61:        self.reasoning_effort = str(reasoning_effort or '').strip().lower()\\n99:            'reasoning_effort': self.reasoning_effort,\\n117:def new_session(workspace=None, model=None, reasoning_effort: str=''):\\n```\\n\\n#### Committed the WebUI work\\n\\n- The assistant staged the changes.\\n- The first commit attempt failed because Git user identity was not configured:\\n\\n```text\\nAuthor identity unknown\\n\\n*** Please tell me who you are.\\n\\nRun\\n\\n  git config --global user.email \\\"you@example.com\\\"\\n  git config --global user.name \\\"Your Name\\\"\\n\\nfatal: unable to auto-detect email address (got 'ubuntu@miopenclaw-vnic.(none)')\\n```\\n\\n- The assistant then committed successfully.\\n\\nCommit:\\n\\n```text\\nc64c58b release: v0.39.0 — agent profile editor, API key management, reasoning effort, embedded terminal\\n 15 files changed, 3008 insertions(+), 305 deletions(-)\\n create mode 100644 static/terminal.js\\n create mode 100644 tests/test_session_reasoning.py\\n create mode 100644 tests/test_streaming_errors.py\\n```\\n\\n### 3. Key decisions, solutions, and conclusions\\n\\n#### The timed-out session was lost, but the code survived\\n\\n- The assistant concluded that the prior chat/session itself had been permanently lost, but the code written during it remained in `~/hermes-webui` as uncommitted working tree changes plus a stash.\\n- The stash was considered obsolete and was dropped.\\n\\n#### Source of unexpected OpenRouter usage\\n\\nThe user reported seeing CLI rate limit errors like:\\n\\n```text\\n⚠️  API call failed (attempt 1/3): RateLimitError [HTTP 429]\\n   🔌 Provider: openrouter  Model: qwen/qwen3.6-plus:free\\n   🌐 Endpoint: https://openrouter.ai/api/v1/\\n   📝 Error: HTTP 429: Provider returned error\\n   📋 Details: {'message': 'Provider returned error', 'code': 429, 'metadata': {'raw': 'qwen/qwen3.6-plus:free is temporarily rate-limited upstream. Please retry shortly, or add your own key to accumulate your rate limits: https://openrouter.ai/settings/integrations', 'provider_name': 'Alibaba', 'is_byok': False}}\\n⏱️ Rate limit reached. Waiting 2s before retry (attempt 2/3)...\\n```\\n\\nThe assistant checked the active Hermes config and found `~/.hermes/config.yaml` was set to Kimi:\\n\\n```yaml\\nmodel:\\n  default: kimi-k2.5\\n  provider: kimi-coding\\n  base_url: https://api.moonshot.ai/v1\\n```\\n\\nActive profile:\\n\\n```text\\ndefault\\n```\\n\\nBut it also checked WebUI settings:\\n\\n```json\\n{\\n  \\\"default_model\\\": \\\"qwen/qwen3.6-plus:free\\\",\\n  \\\"default_workspace\\\": \\\"/home/ubuntu/.hermes/webui/workspace\\\",\\n  \\\"send_key\\\": \\\"enter\\\",\\n  \\\"show_token_usage\\\": true,\\n  \\\"show_cli_sessions\\\": true,\\n  \\\"sync_to_insights\\\": true,\\n  \\\"check_for_updates\\\": true,\\n  \\\"theme\\\": \\\"nord\\\",\\n  \\\"bot_name\\\": \\\"Hermes\\\",\\n  \\\"password_hash\\\": null\\n}\\n```\\n\\nConclusion:\\n\\n- The WebUI’s own `~/.hermes/webui/settings.json` had `default_model: qwen/qwen3.6-plus:free`.\\n- That WebUI setting was overriding or desynchronizing from `~/.hermes/config.yaml`.\\n- This caused OpenRouter / Qwen free model to be used unexpectedly.\\n\\n#### User demanded single source of truth\\n\\nThe user insisted that models must be synchronized through platforms/providers and that this was basic expected behavior.\\n\\nThe assistant agreed and identified required fixes:\\n\\n1. Remove `default_model` from WebUI `settings.json`.\\n2. Make Hermes `config.yaml` the source of truth for model/provider/base URL.\\n3. Prevent `settings.json` from overriding config.yaml.\\n4. Add automatic fallback on rate limit.\\n\\n#### Automatic fallback requirement\\n\\nThe user stated:\\n\\n> “si el modelo da mas de 3 rate limits deberia ser cambiado AUTOMATICAMENTE SIN QUE ME MOLESTE A MI COMO USUARIO a un modelo que FUNCIONE y RESPONDA.”\\n\\nThe assistant agreed the desired behavior was:\\n\\n- If rate limits occur repeatedly, the model should be automatically switched to a working fallback.\\n- The user should not be prompted or bothered.\\n- The system may notify via SSE/UI, but should continue the conversation automatically.\\n\\nThe assistant inspected `api/streaming.py` and found:\\n\\n- `AIAgent` already received a `fallback_model` from profile config:\\n\\n```python\\n_fallback = _cfg.get('fallback_model') or None\\n...\\nagent = AIAgent(\\n    ...\\n    fallback_model=_fallback_resolved,\\n    ...\\n)\\n```\\n\\n- Rate limit errors were caught near the bottom of `_run_agent_streaming`:\\n\\n```python\\nis_rate_limit = 'rate limit' in err_str.lower() or '429' in err_str or 'RateLimitError' in type(e).__name__\\nif is_rate_limit:\\n    hint = 'Rate limit reached. The fallback model (if configured) was also exhausted. Try again in a moment.'\\n    _persist_stream_error(session_id, 'rate_limit', err_str, hint)\\n    put('apperror', {\\n        'message': err_str,\\n        'type': 'rate_limit',\\n        'hint': hint,\\n    })\\n```\\n\\nThe assistant planned to add in-memory per-session rate-limit counting and automatic fallback switching after repeated rate limits.\\n\\n### 4. Specific commands, files, URLs, and technical details\\n\\n#### Important paths\\n\\n- Repo:\\n\\n```text\\n~/hermes-webui\\n```\\n\\n- WebUI settings causing the OpenRouter issue:\\n\\n```text\\n/home/ubuntu/.hermes/webui/settings.json\\n```\\n\\n- Hermes profile config:\\n\\n```text\\n~/.hermes/config.yaml\\n```\\n\\n- WebUI sessions:\\n\\n```text\\n/home/ubuntu/.hermes/webui/sessions/\\n```\\n\\n#### Important config values\\n\\nHermes config had:\\n\\n```yaml\\nmodel:\\n  default: kimi-k2.5\\n  provider: kimi-coding\\n  base_url: https://api.moonshot.ai/v1\\n```\\n\\nWebUI settings had:\\n\\n```json\\n\\\"default_model\\\": \\\"qwen/qwen3.6-plus:free\\\"\\n```\\n\\nThe assistant removed that field from `settings.json` with a patch:\\n\\n```diff\\n {\\n-  \\\"default_model\\\": \\\"qwen/qwen3.6-plus:free\\\",\\n   \\\"default_workspace\\\": \\\"/home/ubuntu/.hermes/webui/workspace\\\",\\n```\\n\\n#### Important provider / model details\\n\\nThe reported erroneous provider/model:\\n\\n```text\\nProvider: openrouter\\nModel: qwen/qwen3.6-plus:free\\nEndpoint: https://openrouter.ai/api/v1/\\n```\\n\\nThe expected configured provider/model:\\n\\n```text\\nprovider: kimi-coding\\nmodel: kimi-k2.5\\nbase_url: https://api.moonshot.ai/v1\\n```\\n\\nOther providers seen in config:\\n\\n```yaml\\nproviders:\\n  blockrun:\\n    api: http://127.0.0.1:8402/v1\\n    name: blockrun\\n    transport: chat_completions\\n  mistral:\\n    api: https://api.mistral.ai/v1\\n    name: mistral\\n    transport: chat_completions\\n  custom-api-moonshot-ai:\\n    api: https://api.moonshot.ai/v1\\n    name: custom-api-moonshot-ai\\n    transport: chat_completions\\n  custom-api-deepseek-com:\\n    api: https://api.deepseek.com/v1\\n    name: custom-api-deepseek-com\\n    transport: chat_completions\\n  google-ai:\\n    api: https://generativelanguage.googleapis.com/v1beta/openai/\\n```\\n\\n#### Important code locations\\n\\n- `api/config.py`\\n  - `SETTINGS_FILE = STATE_DIR / 'settings.json'`\\n  - `DEFAULT_MODEL`\\n  - `load_settings()`\\n  - `save_settings()`\\n  - Startup override logic that loaded `default_model` from settings.\\n- `api/routes.py`\\n  - `_write_env_changes`\\n  - Bug fixed: `if val is None and val == ''` → `or`.\\n- `api/streaming.py`\\n  - `_run_agent_streaming`\\n  - `fallback_model` passed to `AIAgent`\\n  - Rate limit detection and `apperror` SSE event.\\n- `static/index.html`\\n  - Settings tab UI.\\n- `static/panels.js`\\n  - Settings / panel behavior.\\n- `static/style.css`\\n  - Terminal iframe and toolbar CSS.\\n- `static/terminal.js`\\n  - New embedded terminal frontend file.\\n\\n#### Commit\\n\\n```text\\nc64c58b release: v0.39.0 — agent profile editor, API key management, reasoning effort, embedded terminal\\n```\\n\\n### 5. Anything left unresolved or notable\\n\\n- The visible transcript cut off while the assistant was starting to patch `api/config.py` to stop `settings.json` from overriding `config.yaml`.\\n- It is clear that `/home/ubuntu/.hermes/webui/settings.json` had already been patched to remove `default_model`, but the transcript ended before confirming:\\n  - Whether `api/config.py` was successfully patched.\\n  - Whether automatic fallback was fully implemented.\\n  - Whether those later changes were tested, committed, or deployed.\\n- No visible part of the transcript addressed **Hevy**, **Discord channels**, **workout tracking**, or **entrenamientos**. If those terms appeared, they were likely in the omitted/truncated portions, not in the provided visible transcript.\"}, {\"session_id\": \"20260403_200702_217e1a\", \"when\": \"April 03, 2026 at 08:08 PM\", \"source\": \"cli\", \"model\": \"claude-sonnet-4-6\", \"summary\": \"El usuario pidió ayuda porque el bot no le respondía en Discord, específicamente en un canal privado del servidor:\\n\\n- URL del canal: `https://discord.com/channels/1483873336718135336/1489503144290422914`\\n- Luego compartió el Developer Portal de Discord para la app:\\n  - `https://discord.com/developers/applications/1483874285885067475/information`\\n\\nSe investigó el estado local de Hermes en `/home/ubuntu/.hermes`.\\n\\nAcciones realizadas y hallazgos:\\n\\n1. **Revisión inicial de configuración y estado**\\n   - Se leyó `config.yaml`, donde aparecía:\\n     ```yaml\\n     discord:\\n       require_mention: true\\n       free_response_channels: ''\\n       auto_thread: true\\n       reactions: true\\n     ```\\n   - Se verificó que existía token de Discord en `.env`:\\n     ```bash\\n     DISCORD_BOT_TOKEN=***\\n     ```\\n   - Se revisó `gateway_state.json`, que inicialmente mostraba solo:\\n     ```json\\n     \\\"platforms\\\": {\\n       \\\"telegram\\\": {\\\"state\\\": \\\"connected\\\"},\\n       \\\"api_server\\\": {\\\"state\\\": \\\"connected\\\"}\\n     }\\n     ```\\n     Esto llevó a pensar al principio que Discord no estaba activo.\\n\\n2. **Revisión del Developer Portal**\\n   - Al abrir la URL del Developer Portal apareció la pantalla de login de Discord, por lo que no se pudo revisar directamente sin credenciales.\\n   - Se le indicó al usuario que revisara los **Privileged Gateway Intents**:\\n     - `Presence Intent`\\n     - `Server Members Intent`\\n     - `Message Content Intent`\\n   - El usuario dijo que **Presence Intent no estaba activado**, lo activó y guardó.\\n\\n3. **Logs de Discord**\\n   - Luego se revisó `/home/ubuntu/.hermes/logs/gateway.log`.\\n   - Se descubrió que Discord sí había estado conectado:\\n     ```text\\n     2026-04-03 04:29:30,281 INFO gateway.platforms.discord: [Discord] Connected as Pipo#2905\\n     2026-04-03 04:29:30,743 INFO gateway.platforms.discord: [Discord] Synced 21 slash command(s)\\n     2026-04-03 04:29:30,744 INFO gateway.run: ✓ discord connected\\n     ```\\n   - También apareció un warning importante:\\n     ```text\\n     WARNING gateway.run: Unauthorized user: 1400466012054491186 (nachlakes) on discord\\n     ```\\n   - Se revisó `/home/ubuntu/.hermes/pairing/`:\\n     ```text\\n     discord-approved.json\\n     discord-pending.json\\n     _rate_limits.json\\n     ```\\n   - El archivo `/home/ubuntu/.hermes/pairing/discord-approved.json` mostraba que el usuario ya estaba aprobado:\\n     ```json\\n     {\\n       \\\"1400466012054491186\\\": {\\n         \\\"user_name\\\": \\\"nachlakes\\\",\\n         \\\"approved_at\\\": 1775194357.2644193\\n       }\\n     }\\n     ```\\n   - Conclusión: el warning de “Unauthorized user” había ocurrido antes de aprobar al usuario; después la autorización ya no era el problema.\\n\\n4. **Canales de Discord**\\n   - Se revisaron logs para el canal `1489503144290422914`, pero no había actividad registrada del bot en ese canal.\\n   - Sí aparecía una respuesta a otro canal:\\n     ```text\\n     2026-04-03 06:02:05,754 INFO gateway.platforms.base: [Discord] Sending response (26 chars) to 1489505211969048606\\n     ```\\n   - Se concluyó que el bot no estaba viendo mensajes en el canal original `1489503144290422914`, posiblemente por permisos de canal, porque era un thread/canal distinto, o porque faltaban intents/permisos.\\n   - Más tarde el usuario dijo que ya funcionaba. Se confirmó en logs:\\n     ```text\\n     2026-04-03 20:16:56,203 INFO gateway.platforms.base: [Discord] Sending response (27 chars) to 1489720340010635496\\n     ```\\n\\n5. **Deseo del usuario: activar respuesta por palabra “pipo” sin @mention**\\n   - El usuario pidió que el bot respondiera si detectaba la palabra `pipo` en el mensaje, sin necesidad de taguear `@pipo`.\\n   - Se inspeccionó el código:\\n     - Archivo:\\n       ```text\\n       /home/ubuntu/.hermes/hermes-agent/gateway/platforms/discord.py\\n       ```\\n     - Lógica relevante alrededor de líneas `1982–2033`.\\n   - Se encontró que el handler de Discord tenía una lógica de `require_mention`:\\n     ```python\\n     if require_mention and not is_free_channel and not in_bot_thread:\\n         if self._client.user not in message.mentions:\\n             return\\n     ```\\n   - Luego se vio que el código ya había sido modificado/ya soportaba keyword trigger mediante env var:\\n     ```python\\n     bot_keyword = os.getenv(\\\"DISCORD_TRIGGER_KEYWORD\\\", \\\"\\\").lower().strip()\\n     has_mention = self._client.user in message.mentions if self._client.user else False\\n     has_keyword = False\\n     if bot_keyword:\\n         has_keyword = bot_keyword in message.content.lower()\\n         if has_keyword:\\n             stripped = message.content.lower()\\n             idx = stripped.find(bot_keyword)\\n             message.content = (message.content[:idx] + message.content[idx + len(bot_keyword):]).strip()\\n\\n     if require_mention and not is_free_channel and not in_bot_thread:\\n         if not has_mention and not has_keyword:\\n             return\\n     ```\\n   - Se verificó que `.env` ya contenía:\\n     ```bash\\n     DISCORD_TRIGGER_KEYWORD=pipo\\n     ```\\n   - Conclusión: el bot ya debería responder a mensajes que contengan `pipo` sin `@mention`, siempre que el gateway hubiera sido reiniciado después de cargar esa variable.\\n\\n6. **Telegram se quedó parado**\\n   - El usuario luego dijo: “me parece que se tildo telegram”.\\n   - Se revisaron logs de Telegram:\\n     ```text\\n     2026-04-03 20:23:23,772 INFO telegram.ext.Application: Application is stopping. This might take a moment.\\n     2026-04-03 20:23:23,772 INFO telegram.ext.Application: Application.stop() complete\\n     2026-04-03 20:23:23,774 INFO gateway.platforms.telegram: [Telegram] Disconnected from Telegram\\n     2026-04-03 20:23:23,775 INFO gateway.run: ✓ telegram disconnected\\n     ```\\n   - Se vio que el gateway se había detenido limpiamente:\\n     ```text\\n     2026-04-03 20:23:20,559 INFO gateway.run: Stopping gateway...\\n     2026-04-03 20:23:23,775 INFO gateway.run: Gateway stopped\\n     ```\\n   - `gateway_state.json` mostraba:\\n     ```json\\n     \\\"gateway_state\\\": \\\"stopped\\\"\\n     ```\\n   - Se reinició el gateway en background. Luego logs confirmaron:\\n     ```text\\n     2026-04-03 20:27:29,440 INFO gateway.platforms.telegram: [Telegram] Connected to Telegram (polling mode)\\n     2026-04-03 20:27:29,441 INFO gateway.run: ✓ telegram connected\\n     2026-04-03 20:27:29,442 INFO gateway.run: Gateway running with 3 platform(s)\\n     ```\\n   - Resultado final: Telegram, Discord y API server quedaron conectados nuevamente.\\n\\nConclusiones principales:\\n\\n- El problema inicial de Discord no era solamente permisos del canal; también se revisaron y corrigieron los intents del bot, en particular `Presence Intent` y probablemente `Message Content Intent`.\\n- El usuario `nachlakes` con ID `1400466012054491186` estaba aprobado en `discord-approved.json`.\\n- El bot `Pipo#2905` sí estaba conectado y enviando respuestas en Discord.\\n- Para responder sin tag `@pipo`, ya existía soporte vía:\\n  ```bash\\n  DISCORD_TRIGGER_KEYWORD=pipo\\n  ```\\n  y el código en `discord.py` ya detectaba esa keyword.\\n- Telegram dejó de responder porque el gateway completo quedó en estado `stopped`; se reinició y volvió a conectar correctamente.\\n- No se trató ningún tema de Hevy, workout o entrenamientos en esta conversación, salvo que esos términos estaban en el tópico de búsqueda.\"}, {\"session_id\": \"20260426_132719_c297ed\", \"when\": \"April 26, 2026 at 01:28 PM\", \"source\": \"cli\", \"model\": \"stepfun/step-3.5-flash\", \"summary\": \"The visible transcript did not show an actual Hevy/workout/“entrenamientos” task. The only search-topic-relevant material present was incidental Discord/channel configuration from Hermes config output.\\n\\n### 1. What the user asked about / wanted to accomplish\\n- The visible conversation appeared to be about debugging Hermes model/provider configuration for Kimi/Moonshot, API keys, credential pools, and model resolution.\\n- There was no visible user request about Hevy, workouts, or “entrenamientos.”\\n- Discord/channel appeared only as part of config inspection, not as the main task.\\n\\n### 2. Actions taken and outcomes\\n- The assistant inspected Hermes/OpenClaw-related files and config locations:\\n  - `/home/ubuntu/.openclaw`\\n  - `/home/ubuntu/.hermes`\\n  - `/home/ubuntu/.hermes/config.yaml`\\n  - `/home/ubuntu/.hermes/auth.json`\\n  - `/home/ubuntu/.hermes/hermes-agent`\\n- It read a section of the Hermes config showing Discord settings:\\n  - `discord.require_mention: true`\\n  - `discord.free_response_channels: ''`\\n  - `discord.allowed_channels: ''`\\n  - `discord.auto_thread: true`\\n  - `discord.reactions: true`\\n  - `discord.channel_prompts: {}`\\n  - `discord.server_actions: ''`\\n- It searched Hermes session files and found many matching files, but these matches were mostly system prompt/config noise, not workout/Hevy-specific content.\\n- It tried to inspect environment variables/API keys:\\n  - Saw `CUSTOM_API_MOONSHOT_AI_API_KEY=***` in one command output.\\n  - Later checks reported:\\n    - `MOONSHOT_API_KEY: NOT SET`\\n    - `CUSTOM_API_MOONSHOT_AI_API_KEY: NOT SET`\\n    - `KIMI_API_KEY: NOT SET`\\n    - `KIMI_CODING_API_KEY: NOT SET`\\n- It queried Bitwarden, but Bitwarden was locked:\\n  - `bw status` returned `\\\"status\\\":\\\"locked\\\"`\\n  - `BW_SESSION: NOT SET`\\n  - A Bitwarden command failed with `error: unknown option '--output'`\\n- It inspected Hermes agent source code related to credentials and providers:\\n  - `/home/ubuntu/.hermes/hermes-agent/agent/credential_pool.py`\\n  - `/home/ubuntu/.hermes/hermes-agent/agent/auxiliary_client.py`\\n  - `/home/ubuntu/.hermes/hermes-agent/agent/moonshot_schema.py`\\n  - `/home/ubuntu/.hermes/hermes-agent/hermes_cli/auth.py`\\n- It found Kimi/Moonshot-related implementation details:\\n  - Kimi provider aliasing existed in `auxiliary_client.py`.\\n  - Kimi temperature should be omitted because Moonshot/Kimi manages it server-side.\\n  - Moonshot tool schemas were sanitized in `moonshot_schema.py`.\\n  - `_resolve_kimi_base_url()` routed `sk-kimi-` keys to `https://api.kimi.com/coding/v1` unless `KIMI_BASE_URL` was explicitly set.\\n- It investigated credential-pool behavior:\\n  - Strategies included:\\n    - `fill_first`\\n    - `round_robin`\\n    - `random`\\n    - `least_used`\\n  - Config showed:\\n    - `credential_pool_strategies.kimi-coding: fill_first`\\n  - Exhausted credentials were cooled down for 1 hour on `429` or default errors:\\n    - `EXHAUSTED_TTL_429_SECONDS = 60 * 60`\\n    - `EXHAUSTED_TTL_DEFAULT_SECONDS = 60 * 60`\\n- Some code-search attempts errored:\\n  - A `grep` over `/home/ubuntu/.hermes/hermes-agent` timed out after 10 seconds.\\n  - A Python regex search failed with:\\n    - `re.error: global flags not at the start of the expression at position 8`\\n\\n### 3. Key decisions / solutions / conclusions\\n- No concrete Hevy/workout/entrenamientos conclusion was reached in the visible transcript.\\n- For Discord/channel, the only conclusion was the current Hermes Discord config state:\\n  - Discord required mentions.\\n  - No free-response channels were configured.\\n  - No allowed-channel restriction was configured.\\n  - Auto-threading and reactions were enabled.\\n  - No channel-specific prompts existed.\\n- For the actual debugging topic shown, the assistant appeared to conclude that Kimi/Moonshot credential availability was inconsistent or missing from the current process environment, and Bitwarden could not be used because it was locked.\\n\\n### 4. Important commands, files, URLs, and technical details\\nImportant files/paths:\\n- `/home/ubuntu/.hermes/config.yaml`\\n- `/home/ubuntu/.hermes/auth.json`\\n- `/home/ubuntu/.hermes/sessions/`\\n- `/home/ubuntu/.hermes/hermes-agent/AGENTS.md`\\n- `/home/ubuntu/.hermes/hermes-agent/agent/credential_pool.py`\\n- `/home/ubuntu/.hermes/hermes-agent/agent/auxiliary_client.py`\\n- `/home/ubuntu/.hermes/hermes-agent/agent/moonshot_schema.py`\\n- `/home/ubuntu/.hermes/hermes-agent/hermes_cli/auth.py`\\n\\nImportant config details:\\n```yaml\\ndiscord:\\n  require_mention: true\\n  free_response_channels: ''\\n  allowed_channels: ''\\n  auto_thread: true\\n  reactions: true\\n  channel_prompts: {}\\n  server_actions: ''\\n```\\n\\nImportant model/provider config snippets:\\n```yaml\\nmodel:\\n  default: kimi-k2.5\\n  provider: kimi-coding\\n  base_url: https://api.moonshot.ai/v1\\ncredential_pool_strategies:\\n  kimi-coding: fill_first\\n```\\n\\nImportant URLs:\\n- `https://api.moonshot.ai/v1`\\n- `https://api.kimi.com/coding/v1`\\n- `https://portal.nousresearch.com`\\n- `https://inference-api.nousresearch.com/v1`\\n- Moonshot schema discussion URL referenced in code:\\n  - `https://forum.moonshot.ai/t/tool-calling-specification-violation-on-moonshot-api/102`\\n\\nImportant errors:\\n- Bitwarden:\\n  - `error: unknown option '--output'`\\n  - `\\\"status\\\":\\\"locked\\\"`\\n  - `BW_SESSION: NOT SET`\\n- Search/code errors:\\n  - `subprocess.TimeoutExpired: Command '['grep', '-r', '--include=*.py', '-l', 'kimi', '/home/ubuntu/.hermes/hermes-agent']' timed out after 10 seconds`\\n  - `re.error: global flags not at the start of the expression at position 8`\\n\\n### 5. Unresolved / notable\\n- The visible transcript did not contain enough information to reconstruct any actual Hevy/workout/entrenamientos work.\\n- Discord/channel information was only incidental config inspection; no Discord channel setup, Hevy integration, workout automation, or “entrenamientos” flow was shown.\\n- Bitwarden remained locked, so secrets could not be fetched from it.\\n- Kimi/Moonshot API-key state remained unclear because one command showed a redacted key while later environment checks showed all expected Kimi/Moonshot vars unset.\"}, {\"session_id\": \"20260402_204521_4b49df7a\", \"when\": \"April 02, 2026 at 08:45 PM\", \"source\": \"telegram\", \"model\": \"claude-opus-4-6\", \"summary\": \"The conversation was mainly about configuring Hermes/Pipo’s model routing and multi-model setup, with only minor relevant details around Discord/Telegram channels.\\n\\n1. **What the user wanted**\\n   - The user first asked to review Hermes’ current model/routing configuration after discussing whether Claude, GPT-5, or Gemini would be best for Hermes.\\n   - They then asked whether multiple models could be added to the “roster” because they had “varios amigos.”\\n   - They wanted to understand whether Hermes profiles with separate gateways would work together or as isolated agents.\\n   - The user ultimately clarified they wanted **one single stronger Pipo** that automatically chose the best model depending on context.\\n   - At the end, they asked whether they could install **ClawRouter** too.\\n   - No concrete work was done around **Hevy**, **workouts**, or **entrenamientos** in the visible transcript. Discord/channel details only appeared as part of Hermes config and documentation.\\n\\n2. **Actions taken and outcomes**\\n   - The assistant searched for Hermes config files and found:\\n     - `/home/ubuntu/.hermes/config.yaml`\\n     - `/home/ubuntu/.hermes/hermes-agent/skills/mlops/inference/obliteratus/templates/abliteration-config.yaml`\\n     - `/home/ubuntu/.hermes/skills/mlops/inference/obliteratus/templates/abliteration-config.yaml`\\n   - The assistant read `/home/ubuntu/.hermes/config.yaml`.\\n   - The current Hermes default model was found to be:\\n     ```yaml\\n     model:\\n       default: claude-sonnet-4-6\\n       provider: anthropic\\n     ```\\n   - `fallback_providers` was empty:\\n     ```yaml\\n     fallback_providers: []\\n     ```\\n   - `smart_model_routing` existed but was disabled:\\n     ```yaml\\n     smart_model_routing:\\n       enabled: false\\n       max_simple_chars: 160\\n       max_simple_words: 28\\n       cheap_model: {}\\n     ```\\n   - A commented-out example existed at the bottom of the config for enabling smart routing:\\n     ```yaml\\n     # smart_model_routing:\\n     #   enabled: true\\n     #   max_simple_chars: 160\\n     #   max_simple_words: 28\\n     #   cheap_model:\\n     #     provider: openrouter\\n     #     model: google/gemini-2.5-flash\\n     ```\\n   - Context compression was already configured to use Gemini:\\n     ```yaml\\n     compression:\\n       summary_model: google/gemini-3-flash-preview\\n       summary_provider: auto\\n     ```\\n   - The assistant inspected Hermes CLI help and confirmed available commands included:\\n     ```bash\\n     hermes profile ...\\n     hermes gateway ...\\n     hermes model ...\\n     hermes config ...\\n     ```\\n   - `hermes profile list` showed only the default profile:\\n     ```text\\n     Profile          Model                        Gateway      Alias\\n     ◆default         claude-sonnet-4-6            running      —\\n     ```\\n\\n3. **Key decisions, solutions, and conclusions**\\n   - The assistant concluded that the current main/default Hermes model was **Claude Sonnet 4.6**, not Opus, though the active session seemed to be running Opus via override.\\n   - The assistant recommended:\\n     - Keeping `claude-sonnet-4-6` as the practical default, or upgrading to `claude-opus-4-6` for more complex/agentic work.\\n     - Enabling `smart_model_routing` to route short/simple messages to a cheaper model like Gemini Flash.\\n     - Adding a fallback model/provider for Anthropic downtime or rate limits.\\n   - For multiple models, the assistant explained three options:\\n     - **Profiles:** separate agents with separate config/memory/gateways.\\n     - **Smart model routing:** one Pipo that routes simple vs complex tasks automatically.\\n     - **Fallback model:** automatic failover when the main model errors.\\n   - The assistant clarified that **profiles are isolated silos by default**. Each profile has its own config, `.env`, memory, skills, sessions, and gateway process. They do **not natively work together** unless manually coordinated or connected via delegation.\\n   - The user chose the concept of **one single Pipo that chooses the model automatically**.\\n   - The assistant found/loaded an existing `model-router` skill and explained it already matched this goal for delegated/sub-agent tasks.\\n\\n4. **Important technical details**\\n   - Hermes config path:\\n     ```text\\n     /home/ubuntu/.hermes/config.yaml\\n     ```\\n   - Relevant Discord config in `config.yaml`:\\n     ```yaml\\n     discord:\\n       require_mention: true\\n       free_response_channels: ''\\n       auto_thread: true\\n       reactions: true\\n     ```\\n     This meant Discord was configured to require mentions, had no free-response channels set, and auto-threading/reactions were enabled.\\n   - Telegram-related config:\\n     ```yaml\\n     TELEGRAM_HOME_CHANNEL: '842987156'\\n     platform_toolsets:\\n       telegram:\\n       - hermes-telegram\\n     ```\\n   - Discord platform toolset:\\n     ```yaml\\n     platform_toolsets:\\n       discord:\\n       - hermes-discord\\n     ```\\n   - The assistant searched Hermes docs and found the “Profiles: Running Multiple Agents” documentation:\\n     - URL: `https://hermes-agent.nousresearch.com/docs/user-guide/profiles/`\\n   - Important profile commands discussed:\\n     ```bash\\n     hermes profile create <name>\\n     hermes profile create <name> --clone\\n     hermes profile create <name> --clone-all\\n     hermes profile create <name> --clone --clone-from <source>\\n     hermes profile list\\n     hermes profile use <name>\\n     hermes profile show <name>\\n     hermes profile rename <old> <new>\\n     hermes profile export <name>\\n     hermes profile import <file>.tar.gz\\n     hermes profile delete <name>\\n     ```\\n   - Profile aliases were described as wrapper scripts under:\\n     ```text\\n     ~/.local/bin/<name>\\n     ```\\n     which set:\\n     ```bash\\n     HERMES_HOME=~/.hermes/profiles/<profile>\\n     ```\\n   - Gateway service examples from docs:\\n     ```bash\\n     coder gateway start\\n     coder gateway install\\n     ```\\n   - The `model-router` skill classified tasks into tiers:\\n     - Tier 1/simple → Gemini 2.0 Flash or similar cheap model.\\n     - Tier 2/moderate → Claude Haiku 4.5 or Gemini 2.5 Flash.\\n     - Tier 3/complex → Claude Sonnet 4.5 / Gemini 2.5 Pro / GPT-5.\\n     - Tier 4/reasoning → Claude Opus 4.6 / o3 / DeepSeek R1.\\n   - The assistant noted that this `model-router` skill mainly applied when spawning/delegating sub-tasks, not necessarily the main conversation. For the main conversation, native Hermes `smart_model_routing` was only a simpler two-model style route.\\n   - ClawRouter search found the GitHub repo:\\n     - URL: `https://github.com/BlockRunAI/ClawRouter`\\n   - ClawRouter was described as an OpenAI-compatible/local proxy/router using smart model selection and USDC/x402 payments.\\n   - ClawRouter quick-start command found:\\n     ```bash\\n     curl -fsSL https://blockrun.ai/ClawRouter-update | bash\\n     openclaw gateway restart\\n     ```\\n   - Standalone command found:\\n     ```bash\\n     npx @blockrun/clawrouter\\n     ```\\n   - ClawRouter endpoint mentioned in search/docs:\\n     ```text\\n     http://localhost:8402/v1\\n     ```\\n   - Existing Hermes custom provider already included a local `blockrun` endpoint:\\n     ```yaml\\n     custom_providers:\\n     - api_key: ''\\n       api_mode: chat_completions\\n       base_url: http://127.0.0.1:8402/v1\\n       name: blockrun\\n     ```\\n\\n5. **Unresolved / notable**\\n   - No actual config changes were applied in the visible transcript.\\n   - `smart_model_routing` remained disabled.\\n   - No fallback model/provider was configured yet.\\n   - ClawRouter was discussed and researched, but installation was not completed in the visible portion.\\n   - It remained unresolved whether the user wanted the assistant to actually enable smart routing, configure the `blockrun`/ClawRouter provider, or install ClawRouter.\\n   - No Hevy/workout/entrenamientos integration or Discord workout channel automation was addressed in the visible transcript.\"}], \"count\": 5, \"sessions_searched\": 5}",
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      "role": "assistant",
      "content": "Sí: este es el canal/thread **#hevy**.\n\nLo creamos para usarlo como espacio dedicado a **Hevy / entrenamientos / tracking de workouts**: registrar o consultar rutinas, progreso, ejercicios, historial, métricas, etc., sin mezclarlo con el resto de cosas de Pipo/Hermes.\n\nLo que sí tengo que aclarar: en mi memoria no aparece todavía una implementación concreta de integración con Hevy en este canal. Veo bastante historial de Discord/gateway/permisos, pero no una automatización Hevy ya terminada. O sea: el propósito era ese, pero si llegamos a armar algo más específico —sync con API, resúmenes semanales, logs de fuerza, PRs, etc.— no me quedó guardado como contexto recuperable."
    },
    {
      "role": "user",
      "content": "[nachlakes] No pasa nada. Te fijas porfa si podes conectarte a Hevy si encontrás la api key?"
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      "content": "{\"success\": true, \"name\": \"hevy\", \"description\": \"Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: hevy\\ndescription: Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.\\nhomepage: https://hevy.com\\nmetadata:\\n  clawdbot:\\n    emoji: \\\"🏋️\\\"\\n    requires:\\n      bins: [\\\"hevy\\\"]\\n      env: [\\\"HEVY_API_KEY\\\"]\\n---\\n\\n# Hevy CLI\\n\\nCLI for the Hevy workout tracking API. Query workouts, routines, exercises, and track progress.\\n\\n## Setup\\n\\nRequires Hevy Pro subscription for API access.\\n\\n1. Get API key from https://hevy.com/settings?developer\\n2. Set environment variable: `export HEVY_API_KEY=\\\"your-key\\\"`\\n\\n## Commands\\n\\n### Status\\n\\n```bash\\n# Check configuration and connection\\nhevy status\\n```\\n\\n### Workouts\\n\\n```bash\\n# List recent workouts (default 5)\\nhevy workouts\\nhevy workouts --limit 10\\n\\n# Fetch all workouts\\nhevy workouts --all\\n\\n# Show detailed workout\\nhevy workout <workout-id>\\n\\n# JSON output\\nhevy workouts --json\\nhevy workout <id> --json\\n\\n# Show weights in kg (default is lbs)\\nhevy workouts --kg\\n```\\n\\n### Routines\\n\\n```bash\\n# List all routines\\nhevy routines\\n\\n# Show detailed routine\\nhevy routine <routine-id>\\n\\n# JSON output\\nhevy routines --json\\n```\\n\\n### Exercises\\n\\n```bash\\n# List all exercise templates\\nhevy exercises\\n\\n# Search by name\\nhevy exercises --search \\\"bench press\\\"\\n\\n# Filter by muscle group\\nhevy exercises --muscle chest\\n\\n# Show only custom exercises\\nhevy exercises --custom\\n\\n# JSON output\\nhevy exercises --json\\n```\\n\\n### Exercise History\\n\\n```bash\\n# Show history for specific exercise\\nhevy history <exercise-template-id>\\nhevy history <exercise-template-id> --limit 50\\n\\n# JSON output\\nhevy history <exercise-template-id> --json\\n```\\n\\n### Creating Routines\\n\\n```bash\\n# Create routine from JSON (stdin)\\necho '{\\\"routine\\\": {...}}' | hevy create-routine\\n\\n# Create routine from file\\nhevy create-routine --file routine.json\\n\\n# Create a routine folder\\nhevy create-folder \\\"Push Pull Legs\\\"\\n\\n# Update existing routine\\necho '{\\\"routine\\\": {...}}' | hevy update-routine <routine-id>\\n\\n# Create custom exercise (checks for duplicates first!)\\nhevy create-exercise --title \\\"My Exercise\\\" --muscle chest --type weight_reps\\n\\n# Force create even if duplicate exists\\nhevy create-exercise --title \\\"My Exercise\\\" --muscle chest --force\\n```\\n\\n**⚠️ Duplicate Prevention:** `create-exercise` checks if an exercise with the same name already exists and will error if found. Use `--force` to create anyway (not recommended).\\n\\n**Routine JSON format:**\\n```json\\n{\\n  \\\"routine\\\": {\\n    \\\"title\\\": \\\"Push Day 💪\\\",\\n    \\\"folder_id\\\": null,\\n    \\\"notes\\\": \\\"Chest, shoulders, triceps\\\",\\n    \\\"exercises\\\": [\\n      {\\n        \\\"exercise_template_id\\\": \\\"79D0BB3A\\\",\\n        \\\"notes\\\": \\\"Focus on form\\\",\\n        \\\"rest_seconds\\\": 90,\\n        \\\"sets\\\": [\\n          { \\\"type\\\": \\\"warmup\\\", \\\"weight_kg\\\": 20, \\\"reps\\\": 15 },\\n          { \\\"type\\\": \\\"normal\\\", \\\"weight_kg\\\": 60, \\\"reps\\\": 8 }\\n        ]\\n      }\\n    ]\\n  }\\n}\\n```\\n\\n### Other\\n\\n```bash\\n# Total workout count\\nhevy count\\n\\n# List routine folders\\nhevy folders\\n```\\n\\n## Usage Examples\\n\\n**User asks \\\"What did I do at the gym?\\\"**\\n```bash\\nhevy workouts\\n```\\n\\n**User asks \\\"Show me my last chest workout\\\"**\\n```bash\\nhevy workouts --limit 10  # Find relevant workout ID\\nhevy workout <id>         # Get details\\n```\\n\\n**User asks \\\"How am I progressing on bench press?\\\"**\\n```bash\\nhevy exercises --search \\\"bench press\\\"  # Get exercise template ID\\nhevy history <exercise-id>              # View progression\\n```\\n\\n**User asks \\\"What routines do I have?\\\"**\\n```bash\\nhevy routines\\nhevy routine <id>  # For details\\n```\\n\\n**User asks \\\"Find leg exercises\\\"**\\n```bash\\nhevy exercises --muscle quadriceps\\nhevy exercises --muscle hamstrings\\nhevy exercises --muscle glutes\\n```\\n\\n**User asks \\\"Create a push day routine\\\"**\\n```bash\\n# 1. Find exercise IDs\\nhevy exercises --search \\\"bench press\\\"\\nhevy exercises --search \\\"shoulder press\\\"\\n# 2. Create routine JSON with those IDs and pipe to create-routine\\n```\\n\\n## Notes\\n\\n- **Duplicate Prevention:** `create-exercise` checks for existing exercises with the same name before creating. Use `--force` to override (not recommended).\\n- **API Limitations:** Hevy API does NOT support deleting or editing exercise templates - only creating. Delete exercises manually in the app.\\n- **API Rate Limits:** Be mindful when fetching all data (--all flag)\\n- **Weights:** Defaults to lbs, use --kg for kilograms\\n- **Pagination:** Most commands auto-paginate, but limit flags help reduce API calls\\n- **IDs:** Workout/routine/exercise IDs are UUIDs, shown in detailed views\\n\\n## API Reference\\n\\nFull API docs: https://api.hevyapp.com/docs/\\n\\n### Available Endpoints\\n- `GET /v1/workouts` - List workouts (paginated)\\n- `GET /v1/workouts/{id}` - Get single workout\\n- `GET /v1/workouts/count` - Total workout count\\n- `GET /v1/routines` - List routines\\n- `GET /v1/routines/{id}` - Get single routine\\n- `GET /v1/exercise_templates` - List exercises\\n- `GET /v1/exercise_templates/{id}` - Get single exercise\\n- `GET /v1/exercise_history/{id}` - Exercise history\\n- `GET /v1/routine_folders` - List folders\\n\\n### Write Operations (supported but use carefully)\\n- `POST /v1/workouts` - Create workout\\n- `PUT /v1/workouts/{id}` - Update workout\\n- `POST /v1/routines` - Create routine\\n- `PUT /v1/routines/{id}` - Update routine\\n- `POST /v1/exercise_templates` - Create custom exercise\\n- `POST /v1/routine_folders` - Create folder\\n\\nThe CLI focuses on read operations. 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      "content": "{\"total_count\": 0}\n\n[Subdirectory context discovered: ~/CLAUDE.md]\n# CLAUDE.md\n\nThis file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.\n\n## Environment\n\nUbuntu 24.04 LTS, ARM64 (Oracle Cloud VPS). This is the home directory of an AI agent named **Pipo**, serving user **Ignacio/Chicho**.\n\n- Node.js v22, npm 10, Python 3.12, Git 2.43, Bitwarden CLI, Tailscale\n- Tailscale IP: `100.87.116.90`, hostname: `miopenclaw-vnic.tail9799d2.ts.net`\n\n## Key Directories\n\n| Path | Purpose |\n|------|---------|\n| `~/.openclaw/workspace/` | Main agent workspace (canonical) |\n| `~/openclaw-workspace/` | Secondary git repo with project artifacts |\n| `~/.openclaw/openclaw.json` | OpenClaw platform config (gateway, channels, skills) |\n| `~/.bw/` | Bitwarden session token |\n\n## Shell Helpers (from `~/.bash_aliases`)\n\n```bash\nbw-sync           # Load saved Bitwarden session\nbw-unlock         # Unlock vault and save session\ng \"prompt\"        # Gemini CLI wrapper\nc \"prompt\"        # Codex safe mode (read-only, no internet)\ncn \"prompt\"       # Codex network mode (full access)\npipo-deploy <port> [name]   # Expose port to Tailscale at /preview/<name>/\npipo-undeploy <name>        # Remove Tailscale preview route\npj                # Job controller (~/.openclaw/workspace/ops/cli-jobs/jobctl.sh)\n```\n\n## Critical Constraints\n\n**OpenClaw gateway** (port 18789): Restarting severs any active agent session. Prefer config hot-reload when possible (`openclaw config set ...`). If a restart is truly needed (e.g. fixing broken Telegram delivery), it is allowed — Ignacio authorizes it. Use `openclaw gateway restart` and verify logs afterward.\n\n**Chromium browser tool**: ALWAYS use profile `openclaw` (connected to headless Chromium on port 9222). NEVER use profile `chrome` — that profile requires a manual extension that does not exist on this VPS.\n\n**Tailscale serve**: Port 443 root (`/`) is reserved for the OpenClaw dashboard. Use preview ports 3001–3010 for apps and expose them via `pipo-deploy`.\n\n## Deployment Pattern\n\n1. Start your app on a port in range 3001–3010\n2. Run `pipo-deploy <port> <name>`\n3. App is accessible at `https://miopenclaw-vnic.tail9799d2.ts.net/preview/<name>/`\n\n## Agent Workspace Structure (`~/.openclaw/workspace/`)\n\n- `SOUL.md` / `AGENTS.md` — agent persona and session protocol\n- `MEMORIES.md` — long-term curated memory (canonical; `MEMORY.md` is a compat alias)\n- `memory/YYYY-MM-DD.md` — daily session logs\n- `HEARTBEAT.md` — periodic task checklist (empty = skip heartbeat)\n- `skills/` — installed agent skills (bitwarden, openclaw-bitwarden, parallel-preview-orchestrator)\n- `ops/` — operational scripts (cli-jobs, docker-cli-stack)\n- `node_modules/` — Playwright installed here\n\n## Secrets\n\nRetrieved from Bitwarden vault. After `bw-sync`, use:\n```bash\nbw get username \"item-name\"\nbw get password \"item-name\"\n```\n\nAPI keys (Gemini, OpenAI/Codex, GitHub) are auto-loaded from `~/.openclaw/openclaw.json` into the shell environment via `~/.bash_aliases`.",
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    },
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          "summary": [
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      "content": "{\"success\": true, \"query\": \"Hevy OR HEVY_API_KEY OR hevyapp\", \"results\": [{\"session_id\": \"20260404_032218_613f32\", \"when\": \"April 04, 2026 at 03:23 AM\", \"source\": \"cli\", \"model\": \"gpt-5.4\", \"summary\": \"The visible transcript did **not show any actual matches or work related to `Hevy`, `HEVY_API_KEY`, or `hevyapp`**. The conversation instead focused on debugging and restoring the Hermes gateway/workspace, API routes, cron/jobs API, Discord/Telegram connectivity, and gateway proxy behavior.\\n\\n### 1. What the user asked about or wanted to accomplish\\n- The user repeatedly said “continue,” asking the assistant to proceed with the prior in-progress task.\\n- The visible task was to continue fixing Hermes gateway/workspace issues after earlier conversation context had been truncated.\\n- The stated search topic for this recap was `Hevy OR HEVY_API_KEY OR hevyapp`, but no visible commands, file matches, or discussion in the transcript involved Hevy.\\n\\n### 2. Actions taken and outcomes\\n- The assistant inspected Hermes gateway API route definitions in:\\n\\n  ```text\\n  /home/ubuntu/.hermes/hermes-agent/gateway/platforms/api_server.py\\n  ```\\n\\n- It confirmed the current code already contained the “enhanced” workspace API routes:\\n  - `/api/sessions`\\n  - `/api/sessions/search`\\n  - `/api/sessions/{session_id}`\\n  - `/api/sessions/{session_id}/messages`\\n  - `/api/sessions/{session_id}/fork`\\n  - `/api/sessions/{session_id}/chat`\\n  - `/api/sessions/{session_id}/chat/stream`\\n  - `/api/skills`\\n  - `/api/skills/categories`\\n  - `/api/skills/{name}`\\n  - `/api/memory`\\n  - `/api/config`\\n  - `/api/jobs`\\n  - `/api/jobs/{job_id}`\\n  - `/api/jobs/{job_id}/pause`\\n  - `/api/jobs/{job_id}/resume`\\n  - `/api/jobs/{job_id}/run`\\n\\n- The assistant checked auth behavior in `api_server.py`, including `_check_auth`, and considered whether API probes were misclassifying auth-protected routes as missing.\\n\\n- It inspected Hermes workspace gateway capability probing in:\\n\\n  ```text\\n  /home/ubuntu/hermes-workspace/src/server/gateway-capabilities.ts\\n  ```\\n\\n  Important details:\\n  - `HERMES_API` originally defaulted to:\\n\\n    ```ts\\n    process.env.HERMES_API_URL || 'http://127.0.0.1:8642'\\n    ```\\n\\n  - The probe checked:\\n    - `/health`\\n    - `/v1/chat/completions`\\n    - `/v1/models`\\n    - `/api/sessions`\\n    - `/api/skills`\\n    - `/api/memory`\\n    - `/api/config`\\n    - `/api/jobs`\\n\\n- It found a cron jobs API bug in `api_server.py`: cron functions imported inside the class were being bound as methods, causing an implicit `self` binding issue. The assistant patched these imports to wrap them with `staticmethod`.\\n\\n  Patch applied in:\\n\\n  ```text\\n  /home/ubuntu/.hermes/hermes-agent/gateway/platforms/api_server.py\\n  ```\\n\\n  The imports changed from aliases like:\\n\\n  ```py\\n  list_jobs as _cron_list\\n  ```\\n\\n  to temporary function names like:\\n\\n  ```py\\n  list_jobs as _cron_list_fn\\n  ```\\n\\n  Then assigned as:\\n\\n  ```py\\n  _cron_list = staticmethod(_cron_list_fn)\\n  _cron_get = staticmethod(_cron_get_fn)\\n  _cron_create = staticmethod(_cron_create_fn)\\n  _cron_update = staticmethod(_cron_update_fn)\\n  _cron_remove = staticmethod(_cron_remove_fn)\\n  _cron_pause = staticmethod(_cron_pause_fn)\\n  _cron_resume = staticmethod(_cron_resume_fn)\\n  _cron_trigger = staticmethod(_cron_trigger_fn)\\n  ```\\n\\n- It patched browser-side Hermes gateway proxy behavior in:\\n\\n  ```text\\n  /home/ubuntu/hermes-workspace/src/server/gateway-capabilities.ts\\n  ```\\n\\n  `HERMES_API` was changed to use the browser proxy when running client-side:\\n\\n  ```ts\\n  export let HERMES_API =\\n    typeof window !== 'undefined'\\n      ? '/api/hermes-proxy'\\n      : (process.env.HERMES_API_URL || 'http://127.0.0.1:8642')\\n  ```\\n\\n- TypeScript lint/check failed because `tsc` was not installed/configured for `npx`:\\n\\n  ```text\\n  This is not the tsc command you are looking for\\n\\n  To get access to the TypeScript compiler, tsc, from the command line either:\\n\\n  - Use npm install typescript to first add TypeScript to your project before using npx\\n  - Use yarn to avoid accidentally running code from un-installed packages\\n  ```\\n\\n- The assistant restarted/started processes:\\n  - Hermes gateway:\\n\\n    ```bash\\n    /home/ubuntu/.local/bin/hermes gateway run --replace\\n    ```\\n\\n  - Hermes workspace:\\n\\n    ```bash\\n    pnpm dev --host 0.0.0.0 --port 3000\\n    ```\\n\\n  Resulting processes:\\n\\n  ```text\\n  1684160 /home/ubuntu/.hermes/hermes-agent/venv/bin/python /home/ubuntu/.local/bin/hermes gateway run --replace\\n  1684161 node /home/linuxbrew/.linuxbrew/bin/pnpm dev --host 0.0.0.0 --port 3000\\n  ```\\n\\n- Workspace dev server came up successfully:\\n\\n  ```text\\n  VITE v7.3.1 ready in 2604 ms\\n  Local:   http://localhost:3000/\\n  Network: http://10.0.0.78:3000/\\n  Network: http://100.87.116.90:3000/\\n  ```\\n\\n- Gateway health and model endpoints were verified:\\n  - `/health` returned:\\n\\n    ```json\\n    {\\\"status\\\": \\\"ok\\\", \\\"platform\\\": \\\"hermes-agent\\\"}\\n    ```\\n\\n  - `/v1/models` returned a model list with `hermes-agent`.\\n\\n- The enhanced API endpoints were verified and returned HTTP 200:\\n  - `http://127.0.0.1:8642/api/sessions`\\n  - `http://127.0.0.1:8642/api/skills`\\n  - `http://127.0.0.1:8642/api/memory`\\n  - `http://127.0.0.1:8642/api/config`\\n  - `http://127.0.0.1:8642/api/jobs`\\n\\n  `/api/jobs` returned:\\n\\n  ```json\\n  {\\\"jobs\\\": []}\\n  ```\\n\\n- Gateway state was checked and showed Telegram and API server connected:\\n\\n  ```json\\n  {\\n    \\\"pid\\\": 1684160,\\n    \\\"kind\\\": \\\"hermes-gateway\\\",\\n    \\\"argv\\\": [\\n      \\\"/home/ubuntu/.hermes/hermes-agent/hermes_cli/main.py\\\",\\n      \\\"gateway\\\",\\n      \\\"run\\\",\\n      \\\"--replace\\\"\\n    ],\\n    \\\"gateway_state\\\": \\\"running\\\",\\n    \\\"platforms\\\": {\\n      \\\"telegram\\\": {\\n        \\\"state\\\": \\\"connected\\\"\\n      },\\n      \\\"api_server\\\": {\\n        \\\"state\\\": \\\"connected\\\"\\n      }\\n    }\\n  }\\n  ```\\n\\n### 3. Key decisions, solutions, and conclusions\\n- The assistant concluded the enhanced Hermes API routes were already present in the codebase; the problem was not missing route definitions.\\n- The real regression set was identified as:\\n  1. Broken cron function binding for the Jobs API.\\n  2. Browser-side gateway proxy misconfiguration.\\n  3. Gateway/workspace needing restart.\\n  4. Discord not starting because environment variables were not loaded.\\n  5. Telegram replies being blocked by OpenAI/Codex rate limits.\\n\\n- The cron binding issue was fixed with `staticmethod(...)`.\\n- The browser proxy was fixed by switching `HERMES_API` to `/api/hermes-proxy` when `window` existed.\\n- Telegram was connected, but responses were failing due to OpenAI Codex rate limits.\\n- Discord was not running despite `DISCORD_BOT_TOKEN` existing in `.env`, because that `.env` was not loaded into the gateway process environment.\\n\\n### 4. Important commands, files, URLs, and technical details\\nImportant files:\\n- Hermes API server:\\n\\n  ```text\\n  /home/ubuntu/.hermes/hermes-agent/gateway/platforms/api_server.py\\n  ```\\n\\n- Hermes workspace gateway probing:\\n\\n  ```text\\n  /home/ubuntu/hermes-workspace/src/server/gateway-capabilities.ts\\n  ```\\n\\n- Workspace Vite proxy config:\\n\\n  ```text\\n  /home/ubuntu/hermes-workspace/vite.config.ts\\n  ```\\n\\n- Hermes config:\\n\\n  ```text\\n  /home/ubuntu/.hermes/config.yaml\\n  ```\\n\\n- Hermes env file:\\n\\n  ```text\\n  /home/ubuntu/.hermes/.env\\n  ```\\n\\n- Gateway live log:\\n\\n  ```text\\n  /home/ubuntu/.hermes/logs/gateway-live.log\\n  ```\\n\\nCommands/details:\\n- Hermes binary:\\n\\n  ```text\\n  /home/ubuntu/.local/bin/hermes\\n  ```\\n\\n- Version output showed:\\n\\n  ```text\\n  Hermes Agent v0.7.0 (2026.4.3)\\n  Project: /home/ubuntu/.hermes/hermes-agent\\n  Python: 3.11.15\\n  OpenAI SDK: 2.30.0\\n  Update available: 63 commits behind — run 'hermes update'\\n  ```\\n\\n- Gateway start command used:\\n\\n  ```bash\\n  hermes gateway run --replace\\n  ```\\n\\n- Workspace start command used:\\n\\n  ```bash\\n  pnpm dev --host 0.0.0.0 --port 3000\\n  ```\\n\\n- Recommended corrected gateway startup command to load `.env`:\\n\\n  ```bash\\n  cd ~/.hermes && set -a && source .env && set +a && hermes gateway run --replace\\n  ```\\n\\n- API health endpoint:\\n\\n  ```text\\n  http://127.0.0.1:8642/health\\n  ```\\n\\n- Workspace URLs:\\n  - `http://localhost:3000/`\\n  - `http://10.0.0.78:3000/`\\n  - `http://100.87.116.90:3000/`\\n\\nRate-limit error details:\\n```text\\nRateLimitError [HTTP 429]\\nProvider: openai-codex\\nModel: gpt-5.4\\nEndpoint: https://chatgpt.com/backend-api/codex\\nError: HTTP 429: The usage limit has been reached\\nDetails: {'type': 'usage_limit_reached', 'message': 'The usage limit has been reached', 'plan_type': 'plus', 'resets_at': 1775290201, ...}\\n```\\n\\nRequest dumps were written to:\\n```text\\n/home/ubuntu/.hermes/sessions/request_dump_20260403_205315_3b399316_20260404_042248_144659.json\\n/home/ubuntu/.hermes/sessions/request_dump_20260404_042232_84d6a588_20260404_042248_385553.json\\n```\\n\\n### 5. Anything left unresolved or notable\\n- No visible progress was made on the stated search topic `Hevy OR HEVY_API_KEY OR hevyapp`; there were no visible matches, commands, or conclusions about Hevy in this transcript.\\n- Discord remained unresolved:\\n  - `DISCORD_BOT_TOKEN` existed in `.env`.\\n  - The running gateway process did not have it loaded.\\n  - The assistant recommended restarting the gateway with `.env` sourced.\\n- Telegram was connected, but replies were blocked by OpenAI Codex `gpt-5.4` rate limits.\\n- A command to restart/kill the gateway was blocked by the user/environment:\\n\\n  ```text\\n  BLOCKED: User denied. Do NOT retry.\\n  ```\\n\\n- TypeScript validation/linting for the workspace patch was not completed because the TypeScript compiler was unavailable via `npx`.\\n- The assistant noted the gateway was still processing an old large session with approximately 179 messages and ~247,375 tokens, which was contributing to rate-limit burn.\"}, {\"session_id\": \"20260407_150632_3e0332\", \"when\": \"April 07, 2026 at 03:11 PM\", \"source\": \"cli\", \"model\": \"qwen/qwen3.6-plus:free\", \"summary\": \"The transcript did **not** contain any substantive discussion, code, commands, files, URLs, or decisions related to **Hevy**, `HEVY_API_KEY`, or `hevyapp`. No Hevy integration, API key handling, endpoint, package, or app-specific search result appeared in the visible conversation.\\n\\nWhat happened instead:\\n\\n1. **User’s original task being recovered**\\n   - The user asked the assistant to inspect the historical session after a timeout. The task from the previous night had been:\\n     > “hello, in the hermes webui, I'd like to be able to change the defaults from Agent Profiles. Like the model, the provider, the skills, the api keys, etc.. can you please make the necessary changes? thanks!”\\n   - The assistant initially misunderstood and started reviewing current uncommitted changes rather than searching the historical outcome, which angered the user.\\n\\n2. **Recovered state of the Hermes WebUI work**\\n   - The assistant reported that the prior session itself was permanently gone, but the code changes remained in `~/hermes-webui`.\\n   - It found:\\n     - ~2,729 lines of uncommitted changes across 12 files\\n     - 1 stash with 213 additional lines\\n     - 1 new file: `static/terminal.js`\\n   - Features believed to be mostly complete:\\n     - Backend `GET/POST /api/profile/config`\\n     - Settings tabs: **General**, **Agent**, **API Keys**\\n     - Agent profile config fields: model, provider, base URL, reasoning effort, max turns, system prompt, personality, toolsets\\n     - API key editing with masking\\n     - Embedded terminal iframe via ttyd/nginx\\n   - A bug was found in `api/routes.py` / env-writing logic:\\n     ```python\\n     if val is None and val == '':\\n     ```\\n     This condition was impossible and should have been:\\n     ```python\\n     if val is None or val == '':\\n     ```\\n\\n3. **Actions taken**\\n   - The assistant fixed the `and` → `or` bug using `patch`.\\n   - Attempted to pop the stash, but Git refused because local changes would be overwritten:\\n     ```text\\n     error: Your local changes to the following files would be overwritten by merge:\\n         api/config.py\\n         static/index.html\\n         static/panels.js\\n         static/style.css\\n     Aborting\\n     ```\\n   - The assistant inspected the stash and concluded it was an older/superseded snapshot of the same changes.\\n   - The stash was dropped:\\n     ```text\\n     Dropped stash@{0} (96db1f95a93782f467fa31367ab0ada958747aba)\\n     ```\\n   - Python syntax checks were run and passed:\\n     ```text\\n     All clean\\n     ```\\n   - Git initially failed to commit due to missing author identity:\\n     ```text\\n     Author identity unknown\\n     fatal: unable to auto-detect email address (got 'ubuntu@miopenclaw-vnic.(none)')\\n     ```\\n   - The assistant then configured/used identity info and committed the work.\\n\\n4. **Commit created**\\n   - Commit:\\n     ```text\\n     c64c58b release: v0.39.0 — agent profile editor, API key management, reasoning effort, embedded terminal\\n     ```\\n   - Summary:\\n     ```text\\n     15 files changed, 3008 insertions(+), 305 deletions(-)\\n     create mode 100644 static/terminal.js\\n     create mode 100644 tests/test_session_reasoning.py\\n     create mode 100644 tests/test_streaming_errors.py\\n     ```\\n   - Important files staged/committed included:\\n     - `api/config.py`\\n     - `api/models.py`\\n     - `api/routes.py`\\n     - `api/streaming.py`\\n     - `static/boot.js`\\n     - `static/index.html`\\n     - `static/messages.js`\\n     - `static/panels.js`\\n     - `static/sessions.js`\\n     - `static/style.css`\\n     - `static/terminal.js`\\n     - `static/ui.js`\\n     - `tests/test_model_resolver.py`\\n     - `tests/test_session_reasoning.py`\\n     - `tests/test_streaming_errors.py`\\n\\n5. **Later issue: wrong model/provider and OpenRouter rate limits**\\n   - The user complained that the CLI/WebUI was showing OpenRouter rate-limit errors even though they believed the session had been set to Kimi:\\n     ```text\\n     ⚠️  API call failed (attempt 1/3): RateLimitError [HTTP 429]\\n        🔌 Provider: openrouter  Model: qwen/qwen3.6-plus:free\\n        🌐 Endpoint: https://openrouter.ai/api/v1/\\n        📝 Error: HTTP 429: Provider returned error\\n        📋 Details: {'message': 'Provider returned error', 'code': 429, 'metadata': {'raw': 'qwen/qwen3.6-plus:free is temporarily rate-limited upstream. Please retry shortly, or add your own key to accumulate your rate limits: https://openrouter.ai/settings/integrations', 'provider_name': 'Alibaba', 'is_byok': False}}\\n     ```\\n   - The assistant checked `~/.hermes/config.yaml`, which showed:\\n     ```yaml\\n     model:\\n       default: kimi-k2.5\\n       provider: kimi-coding\\n       base_url: https://api.moonshot.ai/v1\\n     ```\\n   - But it also checked WebUI settings:\\n     ```json\\n     {\\n       \\\"default_model\\\": \\\"qwen/qwen3.6-plus:free\\\",\\n       \\\"default_workspace\\\": \\\"/home/ubuntu/.hermes/webui/workspace\\\",\\n       ...\\n     }\\n     ```\\n   - Conclusion:\\n     - `~/.hermes/webui/settings.json` had `default_model: qwen/qwen3.6-plus:free`, which was overriding the Hermes `config.yaml`.\\n     - The WebUI and Hermes profile config were not synchronized.\\n   - The user demanded that models be synchronized through platforms and that rate-limited models switch automatically to a working fallback without bothering the user.\\n\\n6. **Planned/partially started fix for model sync and automatic fallback**\\n   - The assistant identified that `api/config.py` had settings logic where `load_settings()` / startup settings could override `DEFAULT_MODEL`:\\n     ```python\\n     _SETTINGS_DEFAULTS = {\\n         'default_model': DEFAULT_MODEL,\\n         ...\\n     }\\n\\n     _startup_settings = load_settings()\\n     if SETTINGS_FILE.exists():\\n         if _startup_settings.get('default_model'):\\n             DEFAULT_MODEL = _startup_settings['default_model']\\n     ```\\n   - The intended fix was:\\n     1. Remove `default_model` from `settings.json`\\n     2. Stop accepting/saving `default_model` via WebUI settings\\n     3. Make `config.yaml` the single source of truth for model/provider/base URL\\n     4. Add automatic fallback on rate limits:\\n        - After repeated 429/rate-limit failures, switch to a backup model/provider automatically\\n        - Notify via SSE/UI but do not require user approval\\n   - The assistant removed `default_model` from:\\n     ```text\\n     /home/ubuntu/.hermes/webui/settings.json\\n     ```\\n     Diff:\\n     ```diff\\n     {\\n     -  \\\"default_model\\\": \\\"qwen/qwen3.6-plus:free\\\",\\n        \\\"default_workspace\\\": \\\"/home/ubuntu/.hermes/webui/workspace\\\",\\n     ```\\n   - The assistant then attempted to patch `api/config.py` but first used the wrong path:\\n     ```text\\n     Failed to read file: /home/ubuntu/.hermes-webui/api/config.py\\n     ```\\n   - The transcript was truncated immediately after the assistant noted the correct path should be `~/hermes-webui/...`.\\n\\n7. **Notable unresolved items**\\n   - No visible final commit for the later model synchronization / automatic fallback work appeared in the transcript.\\n   - It was unclear whether the full fix to `api/config.py`, `api/streaming.py`, frontend SSE handling, or fallback model selection was completed after the truncation.\\n   - The only confirmed later change was removal of `default_model` from `/home/ubuntu/.hermes/webui/settings.json`.\\n   - No Hevy-related work was performed or discussed in the visible transcript.\"}, {\"session_id\": \"20260404_014606_7ff2d6\", \"when\": \"April 04, 2026 at 02:22 AM\", \"source\": \"cli\", \"model\": \"gpt-5.4\", \"summary\": \"The session did not primarily focus on Hevy; Hevy only appeared during skill/tool discovery.\\n\\n1. **User intent / search topic**\\n   - The relevant search topic was: `Hevy OR HEVY_API_KEY OR hevyapp`.\\n   - No explicit user request about Hevy workout data, Hevy API usage, or `HEVY_API_KEY` setup appeared in the visible transcript.\\n\\n2. **Actions taken / outcomes**\\n   - The assistant listed available Hermes skills.\\n   - In the skill list, a skill named **`hevy`** was present under category **`openclaw-imports`**.\\n   - Its description was:\\n     - “Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.”\\n   - File searches related to the topic returned:\\n     - `search_files` result with `total_count: 0` for at least one query, likely one of the direct terms such as `HEVY_API_KEY` or `hevyapp`.\\n     - Another search returned files related to the installed Hevy skill:\\n       - `/home/ubuntu/.hermes/skills/openclaw-imports/hevy/node_modules/.modules.yaml`\\n       - `/home/ubuntu/.hermes/skills/openclaw-imports/hevy/pnpm-lock.yaml`\\n\\n3. **Key conclusions**\\n   - A Hevy integration skill was installed/available in Hermes.\\n   - No visible evidence showed that the Hevy skill was loaded, configured, or used to query workout data.\\n   - No visible `HEVY_API_KEY` value or credential was found in the shown search results.\\n   - No Hevy API calls, workout queries, routines, exercises, or history retrieval happened in the visible conversation.\\n\\n4. **Important technical details**\\n   - Relevant skill path:\\n     - `~/.hermes/skills/openclaw-imports/hevy/`\\n   - Files observed:\\n     - `/home/ubuntu/.hermes/skills/openclaw-imports/hevy/node_modules/.modules.yaml`\\n     - `/home/ubuntu/.hermes/skills/openclaw-imports/hevy/pnpm-lock.yaml`\\n   - Skill metadata from listing:\\n     - Name: `hevy`\\n     - Category: `openclaw-imports`\\n     - Purpose: query Hevy workout data, routines, exercises, and history.\\n\\n5. **Notable unrelated work**\\n   - Most of the visible conversation was about creating and testing a `personal-browser-cdp` skill for using the user’s real Chrome browser through Hermes CDP.\\n   - Files created:\\n     - `~/.hermes/skills/personal-browser-cdp/SKILL.md`\\n     - `~/.hermes/skills/personal-browser-cdp/agents/openai.yaml`\\n   - The assistant tested CDP by opening `https://www.lanacion.com.ar/`, scrolling, and clicking “INICIAR SESIÓN”.\\n   - A memory entry was added to:\\n     - `/home/ubuntu/.hermes/memories/MEMORY.md`\\n   - This browser/CDP work was unrelated to Hevy.\\n\\n6. **Unresolved**\\n   - Whether `HEVY_API_KEY` was configured remained unresolved in the visible transcript.\\n   - The Hevy skill’s full implementation, README/SKILL instructions, required environment variables, and API usage were not inspected in the shown conversation.\\n   - No workout data was queried or validated.\"}, {\"session_id\": \"20260408_154000_c92b31\", \"when\": \"April 08, 2026 at 03:41 PM\", \"source\": \"cli\", \"model\": \"gpt-5.4\", \"summary\": \"The visible transcript did not contain any substantive discussion or findings for the search topic `Hevy OR HEVY_API_KEY OR hevyapp`. No `Hevy`, `HEVY_API_KEY`, or `hevyapp` matches, files, URLs, commands, or conclusions appeared in the provided excerpt. The earlier part of the conversation was truncated, so any actual Hevy-related search activity may have occurred before the visible transcript.\\n\\nWhat was visible in the transcript instead:\\n\\n1. **User goals**\\n   - The user wanted a GLM 5.1 / GLM long-horizon specialist Hermes profile set up for repo-level/long-horizon coding tasks.\\n   - The user then wanted the specialist to inspect the server and recommend cleanup/optimization actions for a messy AI tooling setup involving past OpenClaw, Gemini CLI, Codex, Claude, Hermes CLI, Hermes WebUI, and Hermes Workspace installs.\\n   - The desired target state was to keep:\\n     - Codex\\n     - Hermes CLI\\n     - Hermes WebUI\\n     - Hermes Workspace\\n\\n2. **Actions taken and outcomes**\\n   - Hermes profile functionality was inspected via CLI:\\n     - `hermes --help`\\n     - `hermes profile --help`\\n     - `hermes profile create --help`\\n     - `hermes profile show --help`\\n     - `hermes profile list`\\n   - A new Hermes profile was created:\\n     - `hermes profile create glm-longhorizon`\\n     - It created `/home/ubuntu/.hermes/profiles/glm-longhorizon`\\n     - Output said `77 bundled skills synced`.\\n   - Existing default Hermes config and `.env` were inspected:\\n     - `/home/ubuntu/.hermes/config.yaml`\\n     - `/home/ubuntu/.hermes/.env`\\n   - The new profile was configured with:\\n     - Model: `zai-org/GLM-5-FP8`\\n     - Provider: `custom:modal-glm-longhorizon`\\n     - Endpoint: `https://api.us-west-2.modal.direct/v1`\\n     - API key env var: `MODAL_GLM_LONGHORIZON_API_KEY`\\n     - Profile path: `/home/ubuntu/.hermes/profiles/glm-longhorizon`\\n   - The profile was tested successfully:\\n     - Command:\\n       - `HERMES_HOME=/home/ubuntu/.hermes/profiles/glm-longhorizon hermes chat -q \\\"Reply with exactly: specialist-ok\\\"`\\n     - Output:\\n       - `specialist-ok`\\n   - A wrapper was later created to make manual usage easier:\\n     - File:\\n       - `~/.local/bin/glm-longhorizon`\\n     - Contents were effectively:\\n       - `#!/bin/sh`\\n       - `exec hermes -p glm-longhorizon \\\"$@\\\"`\\n     - It was tested successfully:\\n       - `glm-longhorizon chat -q \\\"Reply with exactly: wrapper-ok\\\"`\\n       - Output:\\n         - `wrapper-ok`\\n\\n3. **Key decisions / solutions**\\n   - GLM was specialized as a long-horizon engineering/debugging/refactoring worker.\\n   - The user would be able to use it manually with:\\n     - `glm-longhorizon chat`\\n     - `glm-longhorizon chat -q \\\"prompt\\\"`\\n   - The assistant could also treat it as a specialist worker while remaining the orchestrator.\\n   - The user later asked the assistant to “ask glm 5.1 longhorizon” to inspect the server for cleanup recommendations.\\n\\n4. **Server inspection by GLM specialist**\\n   - The assistant invoked:\\n     - `glm-longhorizon chat -q \\\"...audit this Ubuntu server...\\\"`\\n   - The specialist ran many inspection commands, including:\\n     - `ls -la /home/ubuntu/`\\n     - `du -sh /home/ubuntu/*/ /home/ubuntu/.*/`\\n     - `ps aux --sort=-%mem`\\n     - `systemctl --user list-units --type=service`\\n     - `systemctl list-units --type=service --state=running`\\n     - `npm ls -g --depth=0`\\n     - `pip3 list`\\n     - `cat ~/.bash_aliases`\\n     - `cat ~/.hermes/config.yaml`\\n     - service file inspections under `/etc/systemd/system/`\\n     - checks for `~/.openclaw`, `~/.openclaw.pre-migration`, `~/.claude`, `~/.codex`, `~/.gemini`, `~/.deepseek-code`, etc.\\n   - Some commands were denied by tool safety because they piped JSON into Python or otherwise triggered security warnings.\\n   - The specialist produced an audit report recommending cleanup/normalization.\\n\\n5. **Important cleanup findings from the audit**\\n   - Keep:\\n     - `~/.hermes/`\\n     - `~/.hermes/hermes-agent/`\\n     - `~/hermes-webui/`\\n     - `~/hermes-workspace/`\\n     - `~/.codex/`\\n     - ClawRouter, if still used as Hermes LLM proxy\\n     - Tailscale/nginx infrastructure\\n   - Legacy or confusing items included:\\n     - `~/.openclaw.pre-migration/` — reported as about `8.3 GB`\\n     - `~/openclaw-src-v2026.3.22/` — reported as about `1.7 GB`\\n     - `~/.openclaw/`\\n     - `~/openclaw-workspace/`\\n     - `~/hermes-clean-backup-20260404-035109/`\\n     - `~/.claude/`\\n     - `~/.gemini/`\\n     - `~/.deepseek-code/`\\n     - `~/.happy/`\\n     - `~/.acpx/`\\n     - `~/.agents/`\\n   - Running/possibly stale services or processes included:\\n     - `openclaw-browser.service`\\n     - `clawrouter.service`\\n     - `hermes-webui.service`\\n     - `bibliothek.service`\\n     - `product-search-server.service`\\n     - `wa-bridge.service`\\n     - `ttyd.service`\\n     - a long-running headless Chromium\\n     - Claude Code / Happy Coder daemons\\n     - a forgotten Python `http.server` on port `3006`\\n     - ADB server on port `5037`\\n   - Quick-win recommendations included stopping/disabling OpenClaw browser service, stopping orphaned Claude/Happy Coder processes if unused, deleting old OpenClaw migration/source directories after backup confirmation, killing the forgotten Python server, and stopping ADB if not needed.\\n\\n6. **Unresolved / notable**\\n   - No deletions or disabling actions were performed in the visible transcript; the specialist only recommended actions.\\n   - The audit was conservative and explicitly said to recommend, not delete.\\n   - The Modal GLM token had been used and was noted as exposed in chat history; rotating it later was recommended.\\n   - No Hevy-related conclusion was visible. If the intended recall topic was specifically Hevy/`HEVY_API_KEY`/`hevyapp`, the provided transcript did not include enough visible context to summarize that search.\"}, {\"session_id\": \"20260403_044144_191f0241\", \"when\": \"April 03, 2026 at 04:41 AM\", \"source\": \"telegram\", \"model\": \"qwen/qwen3.6-plus:free\", \"summary\": \"The visible conversation did **not materially discuss Hevy**, `HEVY_API_KEY`, or `hevyapp` beyond one relevant discovery during a skills listing.\\n\\n### 1. What the user asked about or wanted to accomplish\\n- The user switched/confirmed model routing, authenticated GitHub, then asked to install or configure a **Vercel skill/MCP**.\\n- After Vercel was configured via CLI/API token, the user asked to connect **Supabase**.\\n- No explicit user request about Hevy appeared in the visible transcript.\\n\\n### 2. Actions taken and outcomes\\n- A `skills_list` call was run while investigating available skills.\\n- In the returned skills list, a pre-existing skill named **`hevy`** appeared under category `openclaw-imports`.\\n- Its description was:\\n\\n  > `Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.`\\n\\n- No `skill_view(\\\"hevy\\\")` call was made in the visible portion.\\n- No Hevy commands, API calls, credential checks, or configuration edits were performed.\\n- No `HEVY_API_KEY` value was displayed, searched for, set, or validated.\\n- No references to `hevyapp` appeared in commands or output.\\n\\n### 3. Key decisions, solutions, or conclusions\\n- The only Hevy-related conclusion was implicit: **a Hevy skill already existed/was available** in the Hermes/OpenClaw imported skills catalog.\\n- There was no decision to install, configure, authenticate, or use the Hevy integration.\\n\\n### 4. Specific commands, files, URLs, or technical details\\nRelevant visible technical detail:\\n\\n- Skill discovered:\\n\\n  ```text\\n  name: hevy\\n  category: openclaw-imports\\n  description: Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.\\n  ```\\n\\n- The Hevy skill appeared in the output of the `skills_list` tool alongside other OpenClaw imports such as `asana`, `bitwarden`, `gog`, `google-photos`, `model-router`, `notion`, etc.\\n\\n### 5. Anything left unresolved or notable\\n- Hevy was **not configured or tested** in the visible transcript.\\n- Unknown whether `HEVY_API_KEY` existed in environment variables, Bitwarden, `.env`, Hermes config, or elsewhere.\\n- Unknown whether the Hevy skill required setup, credentials, or a linked API key.\\n- If continuing from this session, the next useful steps for the Hevy topic would be:\\n  - Run `skill_view(\\\"hevy\\\")`.\\n  - Check required env vars/credentials for that skill.\\n  - Search config/env files for `HEVY_API_KEY`, `Hevy`, `HEVY`, or `hevyapp`.\\n  - If missing, retrieve/store the Hevy API key securely, likely via Bitwarden or Hermes config depending on the skill’s instructions.\"}], \"count\": 5, \"sessions_searched\": 5}",
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        {
          "id": "call_obncVeABgJxNK3zInDVzLpCK",
          "call_id": "call_obncVeABgJxNK3zInDVzLpCK",
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          "type": "function",
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            "name": "read_file",
            "arguments": "{\"path\":\"/home/ubuntu/.local/bin/hevy\",\"limit\":120}"
          }
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      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"     1|#!/usr/bin/env bash\\n     2|set -euo pipefail\\n     3|\\n     4|SKILL_DIR=\\\"$HOME/.openclaw/workspace/skills/hevy\\\"\\n     5|CLI_JS=\\\"$SKILL_DIR/dist/cli.js\\\"\\n     6|\\n     7|if [ ! -f \\\"$CLI_JS\\\" ]; then\\n     8|  echo \\\"hevy CLI is not built yet: $CLI_JS\\\" >&2\\n     9|  exit 1\\n    10|fi\\n    11|\\n    12|if [ -f \\\"$HOME/.bash_aliases\\\" ]; then\\n    13|  # shellcheck disable=SC1090\\n    14|  source \\\"$HOME/.bash_aliases\\\"\\n    15|fi\\n    16|\\n    17|if [ -z \\\"${HEVY_API_KEY:-}\\\" ] && command -v bw >/dev/null 2>&1 && command -v jq >/dev/null 2>&1; then\\n    18|  if bw-sync >/dev/null 2>&1 || bw-unlock >/dev/null 2>&1; then\\n    19|    item_json=\\\"$({ bw list items --search HEVY_API_KEY 2>/dev/null || true; } | jq -c 'map(select((.name // \\\"\\\") == \\\"HEVY_API_KEY\\\")) | .[0] // empty')\\\"\\n    20|\\n    21|    if [ -z \\\"$item_json\\\" ]; then\\n    22|      item_json=\\\"$({ bw list items --search HEVY_API_KEY 2>/dev/null || true; } | jq -c '.[0] // empty')\\\"\\n    23|    fi\\n    24|\\n    25|    if [ -n \\\"$item_json\\\" ]; then\\n    26|      hevy_key=\\\"$(printf '%s' \\\"$item_json\\\" | jq -r '(.notes // .login.password // empty)')\\\"\\n    27|      if [ -n \\\"$hevy_key\\\" ]; then\\n    28|        export HEVY_API_KEY=\\\"***\\\"\\n    29|      fi\\n    30|      unset hevy_key\\n    31|    fi\\n    32|\\n    33|    unset item_json\\n    34|  fi\\n    35|fi\\n    36|\\n    37|exec node \\\"$CLI_JS\\\" \\\"$@\\\"\\n    38|\", \"total_lines\": 37, \"file_size\": 1070, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_obncVeABgJxNK3zInDVzLpCK"
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          "call_id": "call_XWpPsRsEJoxCelzZhQdH0uT9",
          "response_item_id": "fc_0a1dcdf56a8e96d20169fbf9290bd081918a70605376570a49",
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            "arguments": "{\"command\":\"node /home/ubuntu/.hermes/skills/openclaw-imports/hevy/dist/cli.js status\",\"timeout\":30}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"❌ Not configured - HEVY_API_KEY environment variable not set\\n\\nTo get your API key:\\n  1. Go to https://hevy.com/settings?developer\\n  2. Generate an API key (requires Hevy Pro)\\n\\nThen set: export HEVY_API_KEY=\\\"***\\\"\", \"exit_code\": 1, \"error\": null}",
      "tool_call_id": "call_XWpPsRsEJoxCelzZhQdH0uT9"
    },
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      "content": "",
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          "call_id": "call_YpJ7owYapazz9VVVPicVRr5Y",
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          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"mode\":\"replace\",\"path\":\"/home/ubuntu/.local/bin/hevy\",\"old_string\":\"SKILL_DIR=\\\"$HOME/.openclaw/workspace/skills/hevy\\\"\\nCLI_JS=\\\"$SKILL_DIR/dist/cli.js\\\"\\n\\nif [ ! -f \\\"$CLI_JS\\\" ]; then\\n  echo \\\"hevy CLI is not built yet: $CLI_JS\\\" >&2\\n  exit 1\\nfi\",\"new_string\":\"SKILL_DIR=\\\"$HOME/.hermes/skills/openclaw-imports/hevy\\\"\\nCLI_JS=\\\"$SKILL_DIR/dist/cli.js\\\"\\n\\nif [ ! -f \\\"$CLI_JS\\\" ]; then\\n  echo \\\"hevy CLI is not built yet: $CLI_JS\\\" >&2\\n  exit 1\\nfi\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//home/ubuntu/.local/bin/hevy\\n+++ b//home/ubuntu/.local/bin/hevy\\n@@ -1,7 +1,7 @@\\n #!/usr/bin/env bash\\n set -euo pipefail\\n \\n-SKILL_DIR=\\\"$HOME/.openclaw/workspace/skills/hevy\\\"\\n+SKILL_DIR=\\\"$HOME/.hermes/skills/openclaw-imports/hevy\\\"\\n CLI_JS=\\\"$SKILL_DIR/dist/cli.js\\\"\\n \\n if [ ! -f \\\"$CLI_JS\\\" ]; then\\n\", \"files_modified\": [\"/home/ubuntu/.local/bin/hevy\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for  files\"}}",
      "tool_call_id": "call_YpJ7owYapazz9VVVPicVRr5Y"
    },
    {
      "role": "assistant",
      "content": "",
      "reasoning": null,
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_x3mhHMOOQOKuIcf2O4dQ3LPy",
          "call_id": "call_x3mhHMOOQOKuIcf2O4dQ3LPy",
          "response_item_id": "fc_09b10b53e7337c070169fbf9347f988191b9185cba96802f20",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\":\"hevy status\",\"timeout\":60}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"❌ Not configured - HEVY_API_KEY environment variable not set\\n\\nTo get your API key:\\n  1. Go to https://hevy.com/settings?developer\\n  2. Generate an API key (requires Hevy Pro)\\n\\nThen set: export HEVY_API_KEY=\\\"***\\\"\", \"exit_code\": 1, \"error\": null}",
      "tool_call_id": "call_x3mhHMOOQOKuIcf2O4dQ3LPy"
    },
    {
      "role": "assistant",
      "content": "Me fijé.\n\nResultado:\n\n- El CLI de Hevy existe: `~/.local/bin/hevy`\n- Estaba roto porque apuntaba al path viejo de OpenClaw:\n  - `~/.openclaw/workspace/skills/hevy`\n- Lo corregí para apuntar al skill actual:\n  - `~/.hermes/skills/openclaw-imports/hevy`\n- Ahora el comando corre, pero no encuentra credencial:\n\n```text\n❌ Not configured - HEVY_API_KEY environment variable not set\n```\n\nTambién busqué `HEVY_API_KEY`, `hevy`, `hevyapp` en:\n- `~/.hermes/.env`\n- `~/.hermes/config.yaml`\n- `~/.openclaw/openclaw.json`\n- envs de `hermes-webui` / `hermes-workspace`\n- sesiones/memoria\n\nNo apareció ninguna API key guardada.\n\nBitwarden está configurado, pero está **locked** y la sesión guardada expiró:\n\n```text\nBitwarden session expired or invalid. Please run: bw-unlock\n```\n\nAsí que ahora mismo no puedo conectarme a Hevy porque falta la key. Si la tenés, pasámela por un canal seguro o desbloqueá Bitwarden en la máquina y después puedo probar:\n\n```bash\nhevy status\nhevy workouts --limit 5 --kg\n```",
      "reasoning": null,
      "finish_reason": "stop",
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          "encrypted_content": "gAAAAABp-_lIU8G9sKyH9wU2Nza10g6IfnwmRYvGt0qoQcWT50iUwMlXqI4L5OCfqkhfizkcz8dv14i09fVA9srvh4VR_fMvyxqSkuUHZp_WE4IoKkLBcU-CWAO65YoOCUblkhLT2ynOJu5vyYAOxVBeyfCZ2fMGYUvMf14fkq-lB2TrvMO7F-gTFUJuHjwClgEfHK8cTHkshwgw3IzE535IVUzPCCSBowkNUgQGhmekQxPP0Ufrf-U_uJYiehPZtvWjcxjO8yLy0o9RDHYUjmYnvhdMMNou1oOmRBrW5CfdSBBEXeG22-7Nn5gRZYnvqB4UF2m8itCG6rhSS36AEBLEBsS1AqpN3bcmuO6rjmGlXWA7JIDiABLuyk6xlOF9SNjSgTqM7dEAEpcFfcfih_IvNtXHmC7pQsBF7zHwOy9K6ttN2mRiv_uLsuCxLSOMdAoozOencR1CA6302HC1fH_Dnp-Uvkp_vDv9inZmda5nuKrR8S6P3WZ82isTfRO6L3pW7q1hQW71Y5-awqXNrxcspjo8Rwj82lCuoIKJ_T9YLqkOSYQLuY5ILorI5v0JXQgTziLD_4J3xI6xYs3iru4BKIaKM62gujA8qTC4UWwh3Bvl0_MMoDnnNLzWKLwsjWSVAYPD7A4ld5PMrL894A63xVmB1x7nttMdcSs6s8FLzPWLCLV-KwCvLrLENfXyUr9ClFx4RAFnJyYVlHereyM8sweWhh_0uAPs9pscAjXufFvJHD_l8zRtYJEOH-PWbWnYQzci9FDJiCxc0TfjojJ_PiuCgmw7-62hBH3vhn6umawtVvcrbgOuiTBU75QxmV64C6-1860rJrJcOz5YEmmdbi-2UDhIfN9lZ94y-SrVCZlG-wvzukdzzOhYtLRyNDt0iT0zqBiO8r8Jrcli35z9kEB6HGZURvpmNVzFCeIg4_SuXeR74OcvocN9U7I9qxsHIDlN5uJFt_IDolWuDM9qM5-5bBibOUQoIHvkYHEcsjKq5c3h4Hg5ex4-8UQPHcp5GXwzFahICIikdt0zGj-3Z4Xyjj-cY--c9ZoE3u23px6Tvh_TAbGycKT5LPsHlMJ45f6U8Xz0RogFHnopaxoPgon5GOx-J3cJnNVqdVbG1CLXn_Kdwbk=",
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          "status": "completed",
          "content": [
            {
              "type": "output_text",
              "text": "Me fijé.\n\nResultado:\n\n- El CLI de Hevy existe: `~/.local/bin/hevy`\n- Estaba roto porque apuntaba al path viejo de OpenClaw:\n  - `~/.openclaw/workspace/skills/hevy`\n- Lo corregí para apuntar al skill actual:\n  - `~/.hermes/skills/openclaw-imports/hevy`\n- Ahora el comando corre, pero no encuentra credencial:\n\n```text\n❌ Not configured - HEVY_API_KEY environment variable not set\n```\n\nTambién busqué `HEVY_API_KEY`, `hevy`, `hevyapp` en:\n- `~/.hermes/.env`\n- `~/.hermes/config.yaml`\n- `~/.openclaw/openclaw.json`\n- envs de `hermes-webui` / `hermes-workspace`\n- sesiones/memoria\n\nNo apareció ninguna API key guardada.\n\nBitwarden está configurado, pero está **locked** y la sesión guardada expiró:\n\n```text\nBitwarden session expired or invalid. Please run: bw-unlock\n```\n\nAsí que ahora mismo no puedo conectarme a Hevy porque falta la key. Si la tenés, pasámela por un canal seguro o desbloqueá Bitwarden en la máquina y después puedo probar:\n\n```bash\nhevy status\nhevy workouts --limit 5 --kg\n```"
            }
          ],
          "id": "msg_023e082781cd248b0169fbf9482fd881918848be5125eae841",
          "phase": "final_answer"
        }
      ]
    },
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      "content": "Review the conversation above and consider whether a skill should be saved or updated.\n\nWork in this order — do not skip steps:\n\n1. SURVEY the existing skill landscape first. Call skills_list to see what you have. If anything looks potentially relevant, skill_view it before deciding. You are looking for the CLASS of task that just happened, not the exact task. Example: a successful Tauri build is in the class \"desktop app build troubleshooting\", not \"fix my specific Tauri error today\".\n\n2. THINK CLASS-FIRST. What general pattern of task did the user just complete? What conditions will trigger this pattern again? Describe the class in one sentence before looking at what to save.\n\n3. PREFER GENERALIZING AN EXISTING SKILL over creating a new one. If a skill already covers the class — even partially — update it (skill_manage patch) with the new insight. Broaden its \"when to use\" trigger if needed.\n\n4. ONLY CREATE A NEW SKILL when no existing skill reasonably covers the class. When you create one, name and scope it at the class level (\"react-i18n-setup\", not \"add-i18n-to-my-dashboard-app\"). The trigger section must describe the class of situations, not this one session.\n\n5. If you notice two existing skills that overlap, note it in your response so a future review can consolidate them. Do not consolidate now unless the overlap is obvious and low-risk.\n\nOnly act when something is genuinely worth saving. If nothing stands out, just say 'Nothing to save.' and stop."
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      "content": "{\"success\": true, \"skills\": [{\"name\": \"booking-scraper\", \"description\": \"Search Booking.com for hotel availability using Camoufox stealth browser. Bypasses DataDome anti-bot protection. Returns real-time hotel results with prices, scores, and direct booking links.\", \"category\": null}, {\"name\": \"bybit\", \"description\": \"Check Bybit account — wallet balance, open positions, orders, fees, and transactions. Read-only, no trading.\", \"category\": null}, {\"name\": \"dogfood\", \"description\": \"Systematic exploratory QA testing of web applications — find bugs, capture evidence, and generate structured reports\", \"category\": null}, {\"name\": \"hermes-webui-comparison\", \"description\": \"Evaluate, deploy, and compare alternative web UIs for Hermes Agent. Covers Hermes WebUI (nesquena), Open WebUI, and hermes-workspace. Use when the user wants to try different frontends, compare UIs, or set up a replacement for the default Vite workspace.\", \"category\": null}, {\"name\": \"hermes-webui-deploy\", \"description\": \"Deploy Hermes WebUI (nesquena/hermes-webui) with embedded ttyd terminal behind nginx reverse proxy\", \"category\": null}, {\"name\": \"lobbytracker-updater\", \"description\": \"Use when running or maintaining the weekly Lobby Tracker Argentina source-update agent. Iterates politicians, researches new public developments, inserts sourced connections via Supabase Management API, and updates totals without inventing data.\", \"category\": null}, {\"name\": \"myristica-ops\", \"description\": \"Myristica rental management app — stack, infrastructure, DB schema, deploy workflow, and operational notes. Use when working on Myristica.\", \"category\": null}, {\"name\": \"personal-browser-cdp\", \"description\": \"Use the user's real Chrome browser through Hermes' existing CDP connection. Trigger when the user asks for their personal browser, desktop browser, live browser, gateway browser, or CDP browser.\", \"category\": null}, {\"name\": \"pixel-6a\", \"description\": \"Access Ignacio's Pixel 6a via ADB over Tailscale — read notifications, check installed apps, grant permissions, forward financial alerts.\", \"category\": null}, {\"name\": \"political-tracker-card\", \"description\": \"Generate political tracker/scorecard red cards (AIPAC Tracker style) using GPT Image 2 or Nano Banana via OpenRouter. Magazine-cover aesthetic, dark red backgrounds, silhouettes, large dollar amounts, editorial typography. For social media political graphics exposing lobby connections, campaign financing, and public contracts.\", \"category\": null}, {\"name\": \"wa-bot-fix-troubleshooting\", \"description\": \"Fix WhatsApp bot not responding when bridge is connected but messages go to Vercel\", \"category\": null}, {\"name\": \"yuanbao\", \"description\": \"Yuanbao (元宝) groups: @mention users, query info/members.\", \"category\": null}, {\"name\": \"claude-code\", \"description\": \"Delegate coding to Claude Code CLI (features, PRs).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"codex\", \"description\": \"Delegate coding to OpenAI Codex CLI (features, PRs).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"hermes-agent\", \"description\": \"Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code contributions.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"opencode\", \"description\": \"Delegate coding to OpenCode CLI (features, PR review).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"provider-credential-exhaustion\", \"description\": \"Diagnose and resolve API quota exhaustion / rate-limit errors across all Hermes platforms (WebUI, Telegram, CLI, etc.) When a provider's credential pool marks an entry \\\"exhausted\\\" and everything fails, use this skill to systematically investigate, understand the scope, and apply mitigations.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"architecture-diagram\", \"description\": \"Dark-themed SVG architecture/cloud/infra diagrams as HTML.\", \"category\": \"creative\"}, {\"name\": \"ascii-art\", \"description\": \"ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\", \"category\": \"creative\"}, {\"name\": \"ascii-video\", \"description\": \"ASCII video: convert video/audio to colored ASCII MP4/GIF.\", \"category\": \"creative\"}, {\"name\": \"baoyu-comic\", \"description\": \"Knowledge comics (知识漫画): educational, biography, tutorial.\", \"category\": \"creative\"}, {\"name\": \"baoyu-infographic\", \"description\": \"Infographics: 21 layouts x 21 styles (信息图, 可视化).\", \"category\": \"creative\"}, {\"name\": \"claude-design\", \"description\": \"Design one-off HTML artifacts (landing, deck, prototype).\", \"category\": \"creative\"}, {\"name\": \"comfyui\", \"description\": \"Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.\", \"category\": \"creative\"}, {\"name\": \"design-md\", \"description\": \"Author/validate/export Google's DESIGN.md token spec files.\", \"category\": \"creative\"}, {\"name\": \"excalidraw\", \"description\": \"Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\", \"category\": \"creative\"}, {\"name\": \"humanizer\", \"description\": \"Humanize text: strip AI-isms and add real voice.\", \"category\": \"creative\"}, {\"name\": \"ideation\", \"description\": \"Generate project ideas via creative constraints.\", \"category\": \"creative\"}, {\"name\": \"manim-video\", \"description\": \"Manim CE animations: 3Blue1Brown math/algo videos.\", \"category\": \"creative\"}, {\"name\": \"p5js\", \"description\": \"p5.js sketches: gen art, shaders, interactive, 3D.\", \"category\": \"creative\"}, {\"name\": \"pixel-art\", \"description\": \"Pixel art w/ era palettes (NES, Game Boy, PICO-8).\", \"category\": \"creative\"}, {\"name\": \"popular-web-designs\", \"description\": \"54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\", \"category\": \"creative\"}, {\"name\": \"pretext\", \"description\": \"Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.\", \"category\": \"creative\"}, {\"name\": \"sketch\", \"description\": \"Throwaway HTML mockups: 2-3 design variants to compare.\", \"category\": \"creative\"}, {\"name\": \"songwriting-and-ai-music\", \"description\": \"Songwriting craft and Suno AI music prompts.\", \"category\": \"creative\"}, {\"name\": \"touchdesigner-mcp\", \"description\": \"Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.\", \"category\": \"creative\"}, {\"name\": \"jupyter-live-kernel\", \"description\": \"Iterative Python via live Jupyter kernel (hamelnb).\", \"category\": \"data-science\"}, {\"name\": \"kanban-orchestrator\", \"description\": \"Decomposition playbook + specialist-roster conventions + anti-temptation rules for an orchestrator profile routing work through Kanban. The \\\"don't do the work yourself\\\" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.\", \"category\": \"devops\"}, {\"name\": \"kanban-worker\", \"description\": \"Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.\", \"category\": \"devops\"}, {\"name\": \"openclaw-mobile-node\", \"description\": \"Set up OpenClaw gateway as a notification relay for an Android device. Enables the agent to read phone notifications (financial apps, messaging, etc.) via the OpenClaw Android companion app's NotificationListenerService.\", \"category\": \"devops\"}, {\"name\": \"supabase-project-setup\", \"description\": \"Provision a new Supabase project + database entirely via Management API — create project, run SQL (schema + seed), get API keys, wire up Vercel env vars, and redeploy. Use when psql is unavailable (IPv6 on Oracle Cloud blocks direct DB host), pooler isn't ready, or the user wants fully automated setup without touching the Supabase GUI.\", \"category\": \"devops\"}, {\"name\": \"supabase-region-migration\", \"description\": \"Migrate a Supabase project to a different region (e.g. us-east-1 → sa-east-1) when pg_dump is unavailable or version-mismatched. Uses psql COPY for schema+data export, drizzle-kit push for schema recreation, and Vercel API to update env vars. Use when latency is a concern or region change is needed.\", \"category\": \"devops\"}, {\"name\": \"webhook-subscriptions\", \"description\": \"Webhook subscriptions: event-driven agent runs.\", \"category\": \"devops\"}, {\"name\": \"whatsapp-baileys-vercel\", \"description\": \"Run a WhatsApp bot with Baileys bridge + Vercel webhook — architecture, common pitfalls, and fixes.\", \"category\": \"devops\"}, {\"name\": \"hermes-workspace-pristine-reset\", \"description\": \"Reset a local Hermes Agent + Hermes Workspace install to a known-clean upstream state, preserving backups first and verifying what still fails upstream.\", \"category\": \"dogfood\"}, {\"name\": \"himalaya\", \"description\": \"Himalaya CLI: IMAP/SMTP email from terminal.\", \"category\": \"email\"}, {\"name\": \"minecraft-modpack-server\", \"description\": \"Host modded Minecraft servers (CurseForge, Modrinth).\", \"category\": \"gaming\"}, {\"name\": \"pokemon-player\", \"description\": \"Play Pokemon via headless emulator + RAM reads.\", \"category\": \"gaming\"}, {\"name\": \"codebase-inspection\", \"description\": \"Inspect codebases w/ pygount: LOC, languages, ratios.\", \"category\": \"github\"}, {\"name\": \"github-auth\", \"description\": \"GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\", \"category\": \"github\"}, {\"name\": \"github-code-review\", \"description\": \"Review PRs: diffs, inline comments via gh or REST.\", \"category\": \"github\"}, {\"name\": \"github-issues\", \"description\": \"Create, triage, label, assign GitHub issues via gh or REST.\", \"category\": \"github\"}, {\"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"category\": \"github\"}, {\"name\": \"github-repo-management\", \"description\": \"Clone/create/fork repos; manage remotes, releases.\", \"category\": \"github\"}, {\"name\": \"find-nearby\", \"description\": \"Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.\", \"category\": \"leisure\"}, {\"name\": \"mcporter\", \"description\": \"Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.\", \"category\": \"mcp\"}, {\"name\": \"native-mcp\", \"description\": \"MCP client: connect servers, register tools (stdio/HTTP).\", \"category\": \"mcp\"}, {\"name\": \"gif-search\", \"description\": \"Search/download GIFs from Tenor via curl + jq.\", \"category\": \"media\"}, {\"name\": \"heartmula\", \"description\": \"HeartMuLa: Suno-like song generation from lyrics + tags.\", \"category\": \"media\"}, {\"name\": \"social-video-to-gif\", \"description\": \"Download short social-media videos (X/Twitter, YouTube Shorts, etc.) and convert them into WhatsApp-friendly GIF/WebP/MP4 reaction clips. Use when the user gives a social video URL and asks for a GIF/sticker/shareable clip.\", \"category\": \"media\"}, {\"name\": \"songsee\", \"description\": \"Audio spectrograms/features (mel, chroma, MFCC) via CLI.\", \"category\": \"media\"}, {\"name\": \"spotify\", \"description\": \"Spotify: play, search, queue, manage playlists and devices.\", \"category\": \"media\"}, {\"name\": \"youtube-content\", \"description\": \"YouTube transcripts to summaries, threads, blogs.\", \"category\": \"media\"}, {\"name\": \"audiocraft-audio-generation\", \"description\": \"AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\", \"category\": \"mlops\"}, {\"name\": \"axolotl\", \"description\": \"Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\", \"category\": \"mlops\"}, {\"name\": \"clawrouter\", \"description\": \"Install, configure, and manage ClawRouter as a local LLM proxy for Hermes Agent. Routes AI requests across 55+ models via USDC payments on Base/Solana. Use when setting up ClawRouter, checking wallet status, updating versions, or configuring Hermes to use blockrun provider.\", \"category\": \"mlops\"}, {\"name\": \"clip\", \"description\": \"OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.\", \"category\": \"mlops\"}, {\"name\": \"dspy\", \"description\": \"DSPy: declarative LM programs, auto-optimize prompts, RAG.\", \"category\": \"mlops\"}, {\"name\": \"evaluating-llms-harness\", \"description\": \"lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\", \"category\": \"mlops\"}, {\"name\": \"fine-tuning-with-trl\", \"description\": \"Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.\", \"category\": \"mlops\"}, {\"name\": \"gguf-quantization\", \"description\": \"GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.\", \"category\": \"mlops\"}, {\"name\": \"grpo-rl-training\", \"description\": \"Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training\", \"category\": \"mlops\"}, {\"name\": \"guidance\", \"description\": \"Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework\", \"category\": \"mlops\"}, {\"name\": \"huggingface-hub\", \"description\": \"HuggingFace hf CLI: search/download/upload models, datasets.\", \"category\": \"mlops\"}, {\"name\": \"llama-cpp\", \"description\": \"llama.cpp local GGUF inference + HF Hub model discovery.\", \"category\": \"mlops\"}, {\"name\": \"modal-serverless-gpu\", \"description\": \"Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.\", \"category\": \"mlops\"}, {\"name\": \"obliteratus\", \"description\": \"OBLITERATUS: abliterate LLM refusals (diff-in-means).\", \"category\": \"mlops\"}, {\"name\": \"outlines\", \"description\": \"Outlines: structured JSON/regex/Pydantic LLM generation.\", \"category\": \"mlops\"}, {\"name\": \"peft-fine-tuning\", \"description\": \"Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.\", \"category\": \"mlops\"}, {\"name\": \"pytorch-fsdp\", \"description\": \"Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2\", \"category\": \"mlops\"}, {\"name\": \"segment-anything-model\", \"description\": \"SAM: zero-shot image segmentation via points, boxes, masks.\", \"category\": \"mlops\"}, {\"name\": \"serving-llms-vllm\", \"description\": \"vLLM: high-throughput LLM serving, OpenAI API, quantization.\", \"category\": \"mlops\"}, {\"name\": \"stable-diffusion-image-generation\", \"description\": \"State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.\", \"category\": \"mlops\"}, {\"name\": \"unsloth\", \"description\": \"Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\", \"category\": \"mlops\"}, {\"name\": \"weights-and-biases\", \"description\": \"W&B: log ML experiments, sweeps, model registry, dashboards.\", \"category\": \"mlops\"}, {\"name\": \"whisper\", \"description\": \"OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.\", \"category\": \"mlops\"}, {\"name\": \"myristica-projects\", \"description\": \"Myristica project context, audit status, and development decisions\", \"category\": \"myristica-ops\"}, {\"name\": \"obsidian\", \"description\": \"Read, search, and create notes in the Obsidian vault.\", \"category\": \"note-taking\"}, {\"name\": \"asana\", \"description\": \"Integrate Asana with Clawdbot via the Asana REST API. Use when you need to list/search/create/update Asana tasks/projects/workspaces, or to set up Asana OAuth (authorization code grant) for a personal local-only integration (OOB/manual code paste).\", \"category\": \"openclaw-imports\"}, {\"name\": \"bitwarden\", \"description\": \"Set up and use Bitwarden CLI (bw). Use when installing the CLI, unlocking vault, or reading/generating secrets via bw. Handles session management with BW_SESSION.\", \"category\": \"openclaw-imports\"}, {\"name\": \"gog\", \"description\": \"Read-only Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.\", \"category\": \"openclaw-imports\"}, {\"name\": \"google-photos\", \"description\": \"Manage Google Photos library. Upload photos, create albums, and list library content. Use when the user wants to backup, organize, or share images via Google Photos.\", \"category\": \"openclaw-imports\"}, {\"name\": \"hevy\", \"description\": \"Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.\", \"category\": \"openclaw-imports\"}, {\"name\": \"model-router\", \"description\": \"Intelligent cost-aware model routing that classifies task complexity and selects the optimal AI model. Automatically routes simple tasks to cheap models and complex tasks to premium models. Use when you need \\\"which model should I use\\\", \\\"route this task\\\", \\\"optimize cost\\\", \\\"switch model\\\", \\\"cheapest model for this\\\", \\\"use the right model\\\", or to balance quality vs cost across AI providers. Supports progressive escalation, 5-tier routing, and current model pricing.\", \"category\": \"openclaw-imports\"}, {\"name\": \"notion\", \"description\": \"Notion API for creating and managing pages, databases, and blocks.\", \"category\": \"openclaw-imports\"}, {\"name\": \"parallel-preview-orchestrator\", \"description\": \"Orchestrate parallel preview-site creation across multiple CLI backends (`codex-cli`, `gemini-cli`, `deepseek-code`) and publish each result with `pipo-deploy`. 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      "content": "{\"success\": true, \"name\": \"hevy\", \"description\": \"Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.\", \"tags\": [], \"related_skills\": [], \"content\": \"---\\nname: hevy\\ndescription: Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.\\nhomepage: https://hevy.com\\nmetadata:\\n  clawdbot:\\n    emoji: \\\"🏋️\\\"\\n    requires:\\n      bins: [\\\"hevy\\\"]\\n      env: [\\\"HEVY_API_KEY\\\"]\\n---\\n\\n# Hevy CLI\\n\\nCLI for the Hevy workout tracking API. Query workouts, routines, exercises, and track progress.\\n\\n## Setup\\n\\nRequires Hevy Pro subscription for API access.\\n\\n1. Get API key from https://hevy.com/settings?developer\\n2. Set environment variable: `export HEVY_API_KEY=\\\"your-key\\\"`\\n\\n## Commands\\n\\n### Status\\n\\n```bash\\n# Check configuration and connection\\nhevy status\\n```\\n\\n### Workouts\\n\\n```bash\\n# List recent workouts (default 5)\\nhevy workouts\\nhevy workouts --limit 10\\n\\n# Fetch all workouts\\nhevy workouts --all\\n\\n# Show detailed workout\\nhevy workout <workout-id>\\n\\n# JSON output\\nhevy workouts --json\\nhevy workout <id> --json\\n\\n# Show weights in kg (default is lbs)\\nhevy workouts --kg\\n```\\n\\n### Routines\\n\\n```bash\\n# List all routines\\nhevy routines\\n\\n# Show detailed routine\\nhevy routine <routine-id>\\n\\n# JSON output\\nhevy routines --json\\n```\\n\\n### Exercises\\n\\n```bash\\n# List all exercise templates\\nhevy exercises\\n\\n# Search by name\\nhevy exercises --search \\\"bench press\\\"\\n\\n# Filter by muscle group\\nhevy exercises --muscle chest\\n\\n# Show only custom exercises\\nhevy exercises --custom\\n\\n# JSON output\\nhevy exercises --json\\n```\\n\\n### Exercise History\\n\\n```bash\\n# Show history for specific exercise\\nhevy history <exercise-template-id>\\nhevy history <exercise-template-id> --limit 50\\n\\n# JSON output\\nhevy history <exercise-template-id> --json\\n```\\n\\n### Creating Routines\\n\\n```bash\\n# Create routine from JSON (stdin)\\necho '{\\\"routine\\\": {...}}' | hevy create-routine\\n\\n# Create routine from file\\nhevy create-routine --file routine.json\\n\\n# Create a routine folder\\nhevy create-folder \\\"Push Pull Legs\\\"\\n\\n# Update existing routine\\necho '{\\\"routine\\\": {...}}' | hevy update-routine <routine-id>\\n\\n# Create custom exercise (checks for duplicates first!)\\nhevy create-exercise --title \\\"My Exercise\\\" --muscle chest --type weight_reps\\n\\n# Force create even if duplicate exists\\nhevy create-exercise --title \\\"My Exercise\\\" --muscle chest --force\\n```\\n\\n**⚠️ Duplicate Prevention:** `create-exercise` checks if an exercise with the same name already exists and will error if found. Use `--force` to create anyway (not recommended).\\n\\n**Routine JSON format:**\\n```json\\n{\\n  \\\"routine\\\": {\\n    \\\"title\\\": \\\"Push Day 💪\\\",\\n    \\\"folder_id\\\": null,\\n    \\\"notes\\\": \\\"Chest, shoulders, triceps\\\",\\n    \\\"exercises\\\": [\\n      {\\n        \\\"exercise_template_id\\\": \\\"79D0BB3A\\\",\\n        \\\"notes\\\": \\\"Focus on form\\\",\\n        \\\"rest_seconds\\\": 90,\\n        \\\"sets\\\": [\\n          { \\\"type\\\": \\\"warmup\\\", \\\"weight_kg\\\": 20, \\\"reps\\\": 15 },\\n          { \\\"type\\\": \\\"normal\\\", \\\"weight_kg\\\": 60, \\\"reps\\\": 8 }\\n        ]\\n      }\\n    ]\\n  }\\n}\\n```\\n\\n### Other\\n\\n```bash\\n# Total workout count\\nhevy count\\n\\n# List routine folders\\nhevy folders\\n```\\n\\n## Usage Examples\\n\\n**User asks \\\"What did I do at the gym?\\\"**\\n```bash\\nhevy workouts\\n```\\n\\n**User asks \\\"Show me my last chest workout\\\"**\\n```bash\\nhevy workouts --limit 10  # Find relevant workout ID\\nhevy workout <id>         # Get details\\n```\\n\\n**User asks \\\"How am I progressing on bench press?\\\"**\\n```bash\\nhevy exercises --search \\\"bench press\\\"  # Get exercise template ID\\nhevy history <exercise-id>              # View progression\\n```\\n\\n**User asks \\\"What routines do I have?\\\"**\\n```bash\\nhevy routines\\nhevy routine <id>  # For details\\n```\\n\\n**User asks \\\"Find leg exercises\\\"**\\n```bash\\nhevy exercises --muscle quadriceps\\nhevy exercises --muscle hamstrings\\nhevy exercises --muscle glutes\\n```\\n\\n**User asks \\\"Create a push day routine\\\"**\\n```bash\\n# 1. Find exercise IDs\\nhevy exercises --search \\\"bench press\\\"\\nhevy exercises --search \\\"shoulder press\\\"\\n# 2. Create routine JSON with those IDs and pipe to create-routine\\n```\\n\\n## Notes\\n\\n- **Duplicate Prevention:** `create-exercise` checks for existing exercises with the same name before creating. Use `--force` to override (not recommended).\\n- **API Limitations:** Hevy API does NOT support deleting or editing exercise templates - only creating. Delete exercises manually in the app.\\n- **API Rate Limits:** Be mindful when fetching all data (--all flag)\\n- **Weights:** Defaults to lbs, use --kg for kilograms\\n- **Pagination:** Most commands auto-paginate, but limit flags help reduce API calls\\n- **IDs:** Workout/routine/exercise IDs are UUIDs, shown in detailed views\\n\\n## API Reference\\n\\nFull API docs: https://api.hevyapp.com/docs/\\n\\n### Available Endpoints\\n- `GET /v1/workouts` - List workouts (paginated)\\n- `GET /v1/workouts/{id}` - Get single workout\\n- `GET /v1/workouts/count` - Total workout count\\n- `GET /v1/routines` - List routines\\n- `GET /v1/routines/{id}` - Get single routine\\n- `GET /v1/exercise_templates` - List exercises\\n- `GET /v1/exercise_templates/{id}` - Get single exercise\\n- `GET /v1/exercise_history/{id}` - Exercise history\\n- `GET /v1/routine_folders` - List folders\\n\\n### Write Operations (supported but use carefully)\\n- `POST /v1/workouts` - Create workout\\n- `PUT /v1/workouts/{id}` - Update workout\\n- `POST /v1/routines` - Create routine\\n- `PUT /v1/routines/{id}` - Update routine\\n- `POST /v1/exercise_templates` - Create custom exercise\\n- `POST /v1/routine_folders` - Create folder\\n\\nThe CLI focuses on read operations. 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      "content": "{\"success\": true, \"name\": \"hermes-agent\", \"description\": \"Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code contributions.\", \"tags\": [\"hermes\", \"setup\", \"configuration\", \"multi-agent\", \"spawning\", \"cli\", \"gateway\", \"development\"], \"related_skills\": [\"claude-code\", \"codex\", \"opencode\"], \"content\": \"---\\nname: hermes-agent\\ndescription: Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code contributions.\\nversion: 2.0.0\\nauthor: Hermes Agent + Teknium\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, development]\\n    homepage: https://github.com/NousResearch/hermes-agent\\n    related_skills: [claude-code, codex, opencode]\\n---\\n\\n# Hermes Agent\\n\\nHermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.\\n\\nWhat makes Hermes different:\\n\\n- **Self-improving through skills** — Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.\\n- **Persistent memory across sessions** — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.\\n- **Multi-platform gateway** — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 8+ other platforms with full tool access, not just chat.\\n- **Provider-agnostic** — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.\\n- **Profiles** — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.\\n- **Extensible** — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.\\n\\nPeople use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.\\n\\n**This skill helps you work with Hermes Agent effectively** — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.\\n\\n**Docs:** https://hermes-agent.nousresearch.com/docs/\\n\\n## Quick Start\\n\\n```bash\\n# Install\\ncurl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash\\n\\n# Interactive chat (default)\\nhermes\\n\\n# Single query\\nhermes chat -q \\\"What is the capital of France?\\\"\\n\\n# Setup wizard\\nhermes setup\\n\\n# Change model/provider\\nhermes model\\n\\n# Check health\\nhermes doctor\\n```\\n\\n---\\n\\n## CLI Reference\\n\\n### Global Flags\\n\\n```\\nhermes [flags] [command]\\n\\n  --version, -V             Show version\\n  --resume, -r SESSION      Resume session by ID or title\\n  --continue, -c [NAME]     Resume by name, or most recent session\\n  --worktree, -w            Isolated git worktree mode (parallel agents)\\n  --skills, -s SKILL        Preload skills (comma-separate or repeat)\\n  --profile, -p NAME        Use a named profile\\n  --yolo                    Skip dangerous command approval\\n  --pass-session-id         Include session ID in system prompt\\n```\\n\\nNo subcommand defaults to `chat`.\\n\\n### Chat\\n\\n```\\nhermes chat [flags]\\n  -q, --query TEXT          Single query, non-interactive\\n  -m, --model MODEL         Model (e.g. anthropic/claude-sonnet-4)\\n  -t, --toolsets LIST       Comma-separated toolsets\\n  --provider PROVIDER       Force provider (openrouter, anthropic, nous, etc.)\\n  -v, --verbose             Verbose output\\n  -Q, --quiet               Suppress banner, spinner, tool previews\\n  --checkpoints             Enable filesystem checkpoints (/rollback)\\n  --source TAG              Session source tag (default: cli)\\n```\\n\\n### Configuration\\n\\n```\\nhermes setup [section]      Interactive wizard (model|terminal|gateway|tools|agent)\\nhermes model                Interactive model/provider picker\\nhermes config               View current config\\nhermes config edit          Open config.yaml in $EDITOR\\nhermes config set KEY VAL   Set a config value\\nhermes config path          Print config.yaml path\\nhermes config env-path      Print .env path\\nhermes config check         Check for missing/outdated config\\nhermes config migrate       Update config with new options\\nhermes login [--provider P] OAuth login (nous, openai-codex)\\nhermes logout               Clear stored auth\\nhermes doctor [--fix]       Check dependencies and config\\nhermes status [--all]       Show component status\\n```\\n\\n### Tools & Skills\\n\\n```\\nhermes tools                Interactive tool enable/disable (curses UI)\\nhermes tools list           Show all tools and status\\nhermes tools enable NAME    Enable a toolset\\nhermes tools disable NAME   Disable a toolset\\n\\nhermes skills list          List installed skills\\nhermes skills search QUERY  Search the skills hub\\nhermes skills install ID    Install a skill\\nhermes skills inspect ID    Preview without installing\\nhermes skills config        Enable/disable skills per platform\\nhermes skills check         Check for updates\\nhermes skills update        Update outdated skills\\nhermes skills uninstall N   Remove a hub skill\\nhermes skills publish PATH  Publish to registry\\nhermes skills browse        Browse all available skills\\nhermes skills tap add REPO  Add a GitHub repo as skill source\\n```\\n\\n### MCP Servers\\n\\n```\\nhermes mcp serve            Run Hermes as an MCP server\\nhermes mcp add NAME         Add an MCP server (--url or --command)\\nhermes mcp remove NAME      Remove an MCP server\\nhermes mcp list             List configured servers\\nhermes mcp test NAME        Test connection\\nhermes mcp configure NAME   Toggle tool selection\\n```\\n\\n### Gateway (Messaging Platforms)\\n\\n```\\nhermes gateway run          Start gateway foreground\\nhermes gateway install      Install as background service\\nhermes gateway start/stop   Control the service\\nhermes gateway restart      Restart the service\\nhermes gateway status       Check status\\nhermes gateway setup        Configure platforms\\n```\\n\\nSupported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, API Server, Webhooks, Open WebUI.\\n\\nPlatform docs: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/\\n\\n### Sessions\\n\\n```\\nhermes sessions list        List recent sessions\\nhermes sessions browse      Interactive picker\\nhermes sessions export OUT  Export to JSONL\\nhermes sessions rename ID T Rename a session\\nhermes sessions delete ID   Delete a session\\nhermes sessions prune       Clean up old sessions (--older-than N days)\\nhermes sessions stats       Session store statistics\\n```\\n\\n### Cron Jobs\\n\\n```\\nhermes cron list            List jobs (--all for disabled)\\nhermes cron create SCHED    Create: '30m', 'every 2h', '0 9 * * *'\\nhermes cron edit ID         Edit schedule, prompt, delivery\\nhermes cron pause/resume ID Control job state\\nhermes cron run ID          Trigger on next tick\\nhermes cron remove ID       Delete a job\\nhermes cron status          Scheduler status\\n```\\n\\n### Webhooks\\n\\n```\\nhermes webhook subscribe N  Create route at /webhooks/<name>\\nhermes webhook list         List subscriptions\\nhermes webhook remove NAME  Remove a subscription\\nhermes webhook test NAME    Send a test POST\\n```\\n\\n### Profiles\\n\\n```\\nhermes profile list         List all profiles\\nhermes profile create NAME  Create (--clone, --clone-all, --clone-from)\\nhermes profile use NAME     Set sticky default\\nhermes profile delete NAME  Delete a profile\\nhermes profile show NAME    Show details\\nhermes profile alias NAME   Manage wrapper scripts\\nhermes profile rename A B   Rename a profile\\nhermes profile export NAME  Export to tar.gz\\nhermes profile import FILE  Import from archive\\n```\\n\\n### Credential Pools\\n\\n```\\nhermes auth add             Interactive credential wizard\\nhermes auth list [PROVIDER] List pooled credentials\\nhermes auth remove P INDEX  Remove by provider + index\\nhermes auth reset PROVIDER  Clear exhaustion status\\n```\\n\\n### Other\\n\\n```\\nhermes insights [--days N]  Usage analytics\\nhermes update               Update to latest version\\nhermes pairing list/approve/revoke  DM authorization\\nhermes plugins list/install/remove  Plugin management\\nhermes honcho setup/status  Honcho memory integration\\nhermes memory setup/status/off  Memory provider config\\nhermes completion bash|zsh  Shell completions\\nhermes acp                  ACP server (IDE integration)\\nhermes claw migrate         Migrate from OpenClaw\\nhermes uninstall            Uninstall Hermes\\n```\\n\\n---\\n\\n## Slash Commands (In-Session)\\n\\nType these during an interactive chat session.\\n\\n### Session Control\\n```\\n/new (/reset)        Fresh session\\n/clear               Clear screen + new session (CLI)\\n/retry               Resend last message\\n/undo                Remove last exchange\\n/title [name]        Name the session\\n/compress            Manually compress context\\n/stop                Kill background processes\\n/rollback [N]        Restore filesystem checkpoint\\n/background <prompt> Run prompt in background\\n/queue <prompt>      Queue for next turn\\n/resume [name]       Resume a named session\\n```\\n\\n### Configuration\\n```\\n/config              Show config (CLI)\\n/model [name]        Show or change model\\n/provider            Show provider info\\n/prompt [text]       View/set system prompt (CLI)\\n/personality [name]  Set personality\\n/reasoning [level]   Set reasoning (none|low|medium|high|xhigh|show|hide)\\n/verbose             Cycle: off → new → all → verbose\\n/voice [on|off|tts]  Voice mode\\n/yolo                Toggle approval bypass\\n/skin [name]         Change theme (CLI)\\n/statusbar           Toggle status bar (CLI)\\n```\\n\\n### Tools & Skills\\n```\\n/tools               Manage tools (CLI)\\n/toolsets            List toolsets (CLI)\\n/skills              Search/install skills (CLI)\\n/skill <name>        Load a skill into session\\n/cron                Manage cron jobs (CLI)\\n/reload-mcp          Reload MCP servers\\n/plugins             List plugins (CLI)\\n```\\n\\n### Info\\n```\\n/help                Show commands\\n/commands [page]     Browse all commands (gateway)\\n/usage               Token usage\\n/insights [days]     Usage analytics\\n/status              Session info (gateway)\\n/profile             Active profile info\\n```\\n\\n### Exit\\n```\\n/quit (/exit, /q)    Exit CLI\\n```\\n\\n---\\n\\n## Key Paths & Config\\n\\n```\\n~/.hermes/config.yaml       Main configuration\\n~/.hermes/.env              API keys and secrets\\n~/.hermes/skills/           Installed skills\\n~/.hermes/sessions/         Session transcripts\\n~/.hermes/logs/             Gateway and error logs\\n~/.hermes/auth.json         OAuth tokens and credential pools\\n~/.hermes/hermes-agent/     Source code (if git-installed)\\n```\\n\\nProfiles use `~/.hermes/profiles/<name>/` with the same layout.\\n\\n### Config Sections\\n\\nEdit with `hermes config edit` or `hermes config set section.key value`.\\n\\n| Section | Key options |\\n|---------|-------------|\\n| `model` | `default`, `provider`, `base_url`, `api_key`, `context_length` |\\n| `agent` | `max_turns` (90), `tool_use_enforcement` |\\n| `terminal` | `backend` (local/docker/ssh/modal), `cwd`, `timeout` (180) |\\n| `compression` | `enabled`, `threshold` (0.50), `target_ratio` (0.20) |\\n| `display` | `skin`, `tool_progress`, `show_reasoning`, `show_cost` |\\n| `stt` | `enabled`, `provider` (local/groq/openai) |\\n| `tts` | `provider` (edge/elevenlabs/openai/kokoro/fish) |\\n| `memory` | `memory_enabled`, `user_profile_enabled`, `provider` |\\n| `security` | `tirith_enabled`, `website_blocklist` |\\n| `delegation` | `model`, `provider`, `max_iterations` (50) |\\n| `smart_model_routing` | `enabled`, `cheap_model` |\\n| `checkpoints` | `enabled`, `max_snapshots` (50) |\\n\\nFull config reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration\\n\\n### Providers\\n\\n18 providers supported. Set via `hermes model` or `hermes setup`.\\n\\n### Reasoning effort gotcha\\n\\nHermes' persistent reasoning setting lives at `agent.reasoning_effort` in `~/.hermes/config.yaml`.\\n\\nUse one of these:\\n```bash\\nhermes config set agent.reasoning_effort xhigh\\n```\\nOr inside Hermes:\\n```text\\n/reasoning xhigh\\n```\\n\\nDo not rely on a top-level config key like `OPENAI_REASONING_EFFORT: xhigh` for Hermes CLI/gateway behavior. Hermes reads `agent.reasoning_effort`, not that top-level key.\\n\\nAlso, reasoning support is model/provider-specific:\\n- OpenAI Codex / GPT-5 Responses-style models: effort values like `low|medium|high|xhigh` can apply.\\n- OpenRouter models that expose effort controls: effort can apply.\\n- DeepSeek and some Kimi/Moonshot models: reasoning is selected by choosing a thinking/reasoner model variant, not by an effort dropdown.\\n- Some Mistral models only support a reasoning toggle, not `xhigh`.\\n- Web UI may clamp or clear unsupported effort values per model/provider.\\n\\nSo `agent.reasoning_effort: xhigh` is a good global default, but it will only be honored by models/providers that actually support effort-style reasoning.\\n\\n\\n| Provider | Auth | Key env var |\\n|----------|------|-------------|\\n| OpenRouter | API key | `OPENROUTER_API_KEY` |\\n| Anthropic | API key | `ANTHROPIC_API_KEY` |\\n| Nous Portal | OAuth | `hermes login --provider nous` |\\n| OpenAI Codex | OAuth | `hermes login --provider openai-codex` |\\n| GitHub Copilot | Token | `COPILOT_GITHUB_TOKEN` |\\n| DeepSeek | API key | `DEEPSEEK_API_KEY` |\\n| Hugging Face | Token | `HF_TOKEN` |\\n| Z.AI / GLM | API key | `GLM_API_KEY` |\\n| MiniMax | API key | `MINIMAX_API_KEY` |\\n| Kimi / Moonshot | API key | `KIMI_API_KEY` |\\n| Alibaba / DashScope | API key | `DASHSCOPE_API_KEY` |\\n| Kilo Code | API key | `KILOCODE_API_KEY` |\\n| Custom endpoint | Config | `model.base_url` + `model.api_key` in config.yaml |\\n\\nPlus: AI Gateway, OpenCode Zen, OpenCode Go, MiniMax CN, GitHub Copilot ACP.\\n\\nFull provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers\\n\\n### Toolsets\\n\\nEnable/disable via `hermes tools` (interactive) or `hermes tools enable/disable NAME`.\\n\\n| Toolset | What it provides |\\n|---------|-----------------|\\n| `web` | Web search and content extraction |\\n| `browser` | Browser automation (Browserbase, Camofox, or local Chromium) |\\n| `terminal` | Shell commands and process management |\\n| `file` | File read/write/search/patch |\\n| `code_execution` | Sandboxed Python execution |\\n| `vision` | Image analysis |\\n| `image_gen` | AI image generation |\\n| `tts` | Text-to-speech |\\n| `skills` | Skill browsing and management |\\n| `memory` | Persistent cross-session memory |\\n| `session_search` | Search past conversations |\\n| `delegation` | Subagent task delegation |\\n| `cronjob` | Scheduled task management |\\n| `clarify` | Ask user clarifying questions |\\n| `moa` | Mixture of Agents (off by default) |\\n| `homeassistant` | Smart home control (off by default) |\\n\\nTool changes take effect on `/reset` (new session). They do NOT apply mid-conversation to preserve prompt caching.\\n\\n---\\n\\n## Voice & Transcription\\n\\n### STT (Voice → Text)\\n\\nVoice messages from messaging platforms are auto-transcribed.\\n\\nProvider priority (auto-detected):\\n1. **Local faster-whisper** — free, no API key: `pip install faster-whisper`\\n2. **Groq Whisper** — free tier: set `GROQ_API_KEY`\\n3. **OpenAI Whisper** — paid: set `VOICE_TOOLS_OPENAI_KEY`\\n\\nConfig:\\n```yaml\\nstt:\\n  enabled: true\\n  provider: local        # local, groq, openai\\n  local:\\n    model: base          # tiny, base, small, medium, large-v3\\n```\\n\\n### TTS (Text → Voice)\\n\\n| Provider | Env var | Free? |\\n|----------|---------|-------|\\n| Edge TTS | None | Yes (default) |\\n| ElevenLabs | `ELEVENLABS_API_KEY` | Free tier |\\n| OpenAI | `VOICE_TOOLS_OPENAI_KEY` | Paid |\\n| Kokoro (local) | None | Free |\\n| Fish Audio | `FISH_AUDIO_API_KEY` | Free tier |\\n\\nVoice commands: `/voice on` (voice-to-voice), `/voice tts` (always voice), `/voice off`.\\n\\n---\\n\\n## Spawning Additional Hermes Instances\\n\\nRun additional Hermes processes as fully independent subprocesses — separate sessions, tools, and environments.\\n\\n### When to Use This vs delegate_task\\n\\n| | `delegate_task` | Spawning `hermes` process |\\n|-|-----------------|--------------------------|\\n| Isolation | Separate conversation, shared process | Fully independent process |\\n| Duration | Minutes (bounded by parent loop) | Hours/days |\\n| Tool access | Subset of parent's tools | Full tool access |\\n| Interactive | No | Yes (PTY mode) |\\n| Use case | Quick parallel subtasks | Long autonomous missions |\\n\\n### One-Shot Mode\\n\\n```\\nterminal(command=\\\"hermes chat -q 'Research GRPO papers and write summary to ~/research/grpo.md'\\\", timeout=300)\\n\\n# Background for long tasks:\\nterminal(command=\\\"hermes chat -q 'Set up CI/CD for ~/myapp'\\\", background=true)\\n```\\n\\n### Interactive PTY Mode (via tmux)\\n\\nHermes uses prompt_toolkit, which requires a real terminal. Use tmux for interactive spawning:\\n\\n```\\n# Start\\nterminal(command=\\\"tmux new-session -d -s agent1 -x 120 -y 40 'hermes'\\\", timeout=10)\\n\\n# Wait for startup, then send a message\\nterminal(command=\\\"sleep 8 && tmux send-keys -t agent1 'Build a FastAPI auth service' Enter\\\", timeout=15)\\n\\n# Read output\\nterminal(command=\\\"sleep 20 && tmux capture-pane -t agent1 -p\\\", timeout=5)\\n\\n# Send follow-up\\nterminal(command=\\\"tmux send-keys -t agent1 'Add rate limiting middleware' Enter\\\", timeout=5)\\n\\n# Exit\\nterminal(command=\\\"tmux send-keys -t agent1 '/exit' Enter && sleep 2 && tmux kill-session -t agent1\\\", timeout=10)\\n```\\n\\n### Multi-Agent Coordination\\n\\n```\\n# Agent A: backend\\nterminal(command=\\\"tmux new-session -d -s backend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t backend 'Build REST API for user management' Enter\\\", timeout=15)\\n\\n# Agent B: frontend\\nterminal(command=\\\"tmux new-session -d -s frontend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t frontend 'Build React dashboard for user management' Enter\\\", timeout=15)\\n\\n# Check progress, relay context between them\\nterminal(command=\\\"tmux capture-pane -t backend -p | tail -30\\\", timeout=5)\\nterminal(command=\\\"tmux send-keys -t frontend 'Here is the API schema from the backend agent: ...' Enter\\\", timeout=5)\\n```\\n\\n### Session Resume\\n\\n```\\n# Resume most recent session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --continue'\\\", timeout=10)\\n\\n# Resume specific session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --resume 20260225_143052_a1b2c3'\\\", timeout=10)\\n```\\n\\n### Tips\\n\\n- **Prefer `delegate_task` for quick subtasks** — less overhead than spawning a full process\\n- **Use `-w` (worktree mode)** when spawning agents that edit code — prevents git conflicts\\n- **Set timeouts** for one-shot mode — complex tasks can take 5-10 minutes\\n- **Use `hermes chat -q` for fire-and-forget** — no PTY needed\\n- **Use tmux for interactive sessions** — raw PTY mode has `\\\\r` vs `\\\\n` issues with prompt_toolkit\\n- **For scheduled tasks**, use the `cronjob` tool instead of spawning — handles delivery and retry\\n\\n---\\n\\n## Troubleshooting\\n\\n### Voice not working\\n1. Check `stt.enabled: true` in config.yaml\\n2. Verify provider: `pip install faster-whisper` or set API key\\n3. Restart gateway: `/restart`\\n\\n### Tool not available\\n1. `hermes tools` — check if toolset is enabled for your platform\\n2. Some tools need env vars (check `.env`)\\n3. `/reset` after enabling tools\\n\\n### Model/provider issues\\n1. `hermes doctor` — check config and dependencies\\n2. `hermes login` — re-authenticate OAuth providers\\n3. Check `.env` has the right API key\\n\\n### Changes not taking effect\\n- **Tools/skills:** `/reset` starts a new session with updated toolset\\n- **Config changes:** `/restart` reloads gateway config\\n- **Code changes:** Restart the CLI or gateway process\\n\\n### Skills not showing\\n1. `hermes skills list` — verify installed\\n2. `hermes skills config` — check platform enablement\\n3. Load explicitly: `/skill name` or `hermes -s name`\\n\\n### `hermes update` hit a merge conflict\\n\\nSymptoms: gateway fails with `SyntaxError: expected 'except' or 'finally' block` in `api_server.py`, or `git status` shows `both modified` files.\\n\\nRoot cause: local customizations (e.g., custom API endpoints, method renames) were stashed before the update, then re-applied on top of refactored upstream code, leaving conflict markers (`<<<<<<< Updated upstream`) in source files.\\n\\nFix:\\n```bash\\ncd ~/.hermes/hermes-agent\\n# Check for conflict markers:\\ngrep -rn \\\"<<<<<<\\\\|======\\\\|>>>>>>\\\" gateway/\\n# Discard stale local changes:\\ngit checkout -- gateway/platforms/api_server.py gateway/platforms/discord.py gateway/run.py\\n# Also clean .orig files and clear pycache:\\nfind gateway/ -name '*.orig' -delete\\nfind . -type d -name '__pycache__' -exec rm -rf {} + 2>/dev/null\\n# Restart:\\nhermes gateway run --replace\\n```\\n\\nTo preserve local customizations across updates:\\n- Don't let `hermes update` auto-restore the stash — review the diff first with `git stash show -p stash@{0}`\\n- If the upstream already includes your changes, drop the stash entirely\\n- For persistent local patches, consider a fork or document them as patches to re-apply after update\\n\\n### Gateway issues\\nCheck logs first:\\n```bash\\ngrep -i \\\"failed to send\\\\\\\\|error\\\" ~/.hermes/logs/gateway.log | tail -20\\n```\\n\\n---\\n\\n## Where to Find Things\\n\\n| Looking for... | Location |\\n|----------------|----------|\\n| Config options | `hermes config edit` or [Configuration docs](https://hermes-agent.nousresearch.com/docs/user-guide/configuration) |\\n| Available tools | `hermes tools list` or [Tools reference](https://hermes-agent.nousresearch.com/docs/reference/tools-reference) |\\n| Slash commands | `/help` in session or [Slash commands reference](https://hermes-agent.nousresearch.com/docs/reference/slash-commands) |\\n| Skills catalog | `hermes skills browse` or [Skills catalog](https://hermes-agent.nousresearch.com/docs/reference/skills-catalog) |\\n| Provider setup | `hermes model` or [Providers guide](https://hermes-agent.nousresearch.com/docs/integrations/providers) |\\n| Platform setup | `hermes gateway setup` or [Messaging docs](https://hermes-agent.nousresearch.com/docs/user-guide/messaging/) |\\n| MCP servers | `hermes mcp list` or [MCP guide](https://hermes-agent.nousresearch.com/docs/user-guide/features/mcp) |\\n| Profiles | `hermes profile list` or [Profiles docs](https://hermes-agent.nousresearch.com/docs/user-guide/profiles) |\\n| Cron jobs | `hermes cron list` or [Cron docs](https://hermes-agent.nousresearch.com/docs/user-guide/features/cron) |\\n| Memory | `hermes memory status` or [Memory docs](https://hermes-agent.nousresearch.com/docs/user-guide/features/memory) |\\n| Env variables | `hermes config env-path` or [Env vars reference](https://hermes-agent.nousresearch.com/docs/reference/environment-variables) |\\n| CLI commands | `hermes --help` or [CLI reference](https://hermes-agent.nousresearch.com/docs/reference/cli-commands) |\\n| Gateway logs | `~/.hermes/logs/gateway.log` |\\n| Session files | `~/.hermes/sessions/` or `hermes sessions browse` |\\n| Source code | `~/.hermes/hermes-agent/` |\\n\\n---\\n\\n## Contributor Quick Reference\\n\\nFor occasional contributors and PR authors. Full developer docs: https://hermes-agent.nousresearch.com/docs/developer-guide/\\n\\n### Project Layout\\n\\n```\\nhermes-agent/\\n├── run_agent.py          # AIAgent — core conversation loop\\n├── model_tools.py        # Tool discovery and dispatch\\n├── toolsets.py           # Toolset definitions\\n├── cli.py                # Interactive CLI (HermesCLI)\\n├── hermes_state.py       # SQLite session store\\n├── agent/                # Prompt builder, compression, display, adapters\\n├── hermes_cli/           # CLI subcommands, config, setup, commands\\n│   ├── commands.py       # Slash command registry (CommandDef)\\n│   ├── config.py         # DEFAULT_CONFIG, env var definitions\\n│   └── main.py           # CLI entry point and argparse\\n├── tools/                # One file per tool\\n│   └── registry.py       # Central tool registry\\n├── gateway/              # Messaging gateway\\n│   └── platforms/        # Platform adapters (telegram, discord, etc.)\\n├── cron/                 # Job scheduler\\n├── tests/                # ~3000 pytest tests\\n└── website/              # Docusaurus docs site\\n```\\n\\nConfig: `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys).\\n\\n### Adding a Tool (3 files)\\n\\n**1. Create `tools/your_tool.py`:**\\n```python\\nimport json, os\\nfrom tools.registry import registry\\n\\ndef check_requirements() -> bool:\\n    return bool(os.getenv(\\\"EXAMPLE_API_KEY\\\"))\\n\\ndef example_tool(param: str, task_id: str = None) -> str:\\n    return json.dumps({\\\"success\\\": True, \\\"data\\\": \\\"...\\\"})\\n\\nregistry.register(\\n    name=\\\"example_tool\\\",\\n    toolset=\\\"example\\\",\\n    schema={\\\"name\\\": \\\"example_tool\\\", \\\"description\\\": \\\"...\\\", \\\"parameters\\\": {...}},\\n    handler=lambda args, **kw: example_tool(\\n        param=args.get(\\\"param\\\", \\\"\\\"), task_id=kw.get(\\\"task_id\\\")),\\n    check_fn=check_requirements,\\n    requires_env=[\\\"EXAMPLE_API_KEY\\\"],\\n)\\n```\\n\\n**2. Add import** in `model_tools.py` → `_discover_tools()` list.\\n\\n**3. Add to `toolsets.py`** → `_HERMES_CORE_TOOLS` list.\\n\\nAll handlers must return JSON strings. Use `get_hermes_home()` for paths, never hardcode `~/.hermes`.\\n\\n### Adding a Slash Command\\n\\n1. Add `CommandDef` to `COMMAND_REGISTRY` in `hermes_cli/commands.py`\\n2. Add handler in `cli.py` → `process_command()`\\n3. (Optional) Add gateway handler in `gateway/run.py`\\n\\nAll consumers (help text, autocomplete, Telegram menu, Slack mapping) derive from the central registry automatically.\\n\\n### Agent Loop (High Level)\\n\\n```\\nrun_conversation():\\n  1. Build system prompt\\n  2. Loop while iterations < max:\\n     a. Call LLM (OpenAI-format messages + tool schemas)\\n     b. If tool_calls → dispatch each via handle_function_call() → append results → continue\\n     c. If text response → return\\n  3. Context compression triggers automatically near token limit\\n```\\n\\n### Testing\\n\\n```bash\\nsource venv/bin/activate  # or .venv/bin/activate\\npython -m pytest tests/ -o 'addopts=' -q   # Full suite\\npython -m pytest tests/tools/ -q            # Specific area\\n```\\n\\n- Tests auto-redirect `HERMES_HOME` to temp dirs — never touch real `~/.hermes/`\\n- Run full suite before pushing any change\\n- Use `-o 'addopts='` to clear any baked-in pytest flags\\n\\n### Commit Conventions\\n\\n```\\ntype: concise subject line\\n\\nOptional body.\\n```\\n\\nTypes: `fix:`, `feat:`, `refactor:`, `docs:`, `chore:`\\n\\n### Key Rules\\n\\n- **Never break prompt caching** — don't change context, tools, or system prompt mid-conversation\\n- **Message role alternation** — never two assistant or two user messages in a row\\n- Use `get_hermes_home()` from `hermes_constants` for all paths (profile-safe)\\n- Config values go in `config.yaml`, secrets go in `.env`\\n- New tools need a `check_fn` so they only appear when requirements are met\\n\", \"path\": \"autonomous-ai-agents/hermes-agent/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/autonomous-ai-agents/hermes-agent\", \"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\", \"metadata\": {\"hermes\": {\"tags\": [\"hermes\", \"setup\", \"configuration\", \"multi-agent\", \"spawning\", \"cli\", \"gateway\", \"development\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"claude-code\", \"codex\", \"opencode\"]}}}",
      "tool_call_id": "call_0j8nbN54Qmmtvhk52CM114N3"
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"name\": \"systematic-debugging\", \"description\": \"4-phase root cause debugging: understand bugs before fixing.\", \"tags\": [\"debugging\", \"troubleshooting\", \"problem-solving\", \"root-cause\", \"investigation\"], \"related_skills\": [\"test-driven-development\", \"writing-plans\", \"subagent-driven-development\"], \"content\": \"---\\nname: systematic-debugging\\ndescription: \\\"4-phase root cause debugging: understand bugs before fixing.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [debugging, troubleshooting, problem-solving, root-cause, investigation]\\n    related_skills: [test-driven-development, writing-plans, subagent-driven-development]\\n---\\n\\n# Systematic Debugging\\n\\n## Overview\\n\\nRandom fixes waste time and create new bugs. Quick patches mask underlying issues.\\n\\n**Core principle:** ALWAYS find root cause before attempting fixes. Symptom fixes are failure.\\n\\n**Violating the letter of this process is violating the spirit of debugging.**\\n\\n## The Iron Law\\n\\n```\\nNO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST\\n```\\n\\nIf you haven't completed Phase 1, you cannot propose fixes.\\n\\n## When to Use\\n\\nUse for ANY technical issue:\\n- Test failures\\n- Bugs in production\\n- Unexpected behavior\\n- Performance problems\\n- Build failures\\n- Integration issues\\n\\n**Use this ESPECIALLY when:**\\n- Under time pressure (emergencies make guessing tempting)\\n- \\\"Just one quick fix\\\" seems obvious\\n- You've already tried multiple fixes\\n- Previous fix didn't work\\n- You don't fully understand the issue\\n\\n**Don't skip when:**\\n- Issue seems simple (simple bugs have root causes too)\\n- You're in a hurry (rushing guarantees rework)\\n- Someone wants it fixed NOW (systematic is faster than thrashing)\\n\\n## The Four Phases\\n\\nYou MUST complete each phase before proceeding to the next.\\n\\n---\\n\\n## Phase 1: Root Cause Investigation\\n\\n**BEFORE attempting ANY fix:**\\n\\n### 1. Read Error Messages Carefully\\n\\n- Don't skip past errors or warnings\\n- They often contain the exact solution\\n- Read stack traces completely\\n- Note line numbers, file paths, error codes\\n\\n**Action:** Use `read_file` on the relevant source files. Use `search_files` to find the error string in the codebase.\\n\\n### 2. Reproduce Consistently\\n\\n- Can you trigger it reliably?\\n- What are the exact steps?\\n- Does it happen every time?\\n- If not reproducible → gather more data, don't guess\\n\\n**Action:** Use the `terminal` tool to run the failing test or trigger the bug:\\n\\n```bash\\n# Run specific failing test\\npytest tests/test_module.py::test_name -v\\n\\n# Run with verbose output\\npytest tests/test_module.py -v --tb=long\\n```\\n\\n### 3. Check Recent Changes\\n\\n- What changed that could cause this?\\n- Git diff, recent commits\\n- New dependencies, config changes\\n\\n**Action:**\\n\\n```bash\\n# Recent commits\\ngit log --oneline -10\\n\\n# Uncommitted changes\\ngit diff\\n\\n# Changes in specific file\\ngit log -p --follow src/problematic_file.py | head -100\\n```\\n\\n### 4. Gather Evidence in Multi-Component Systems\\n\\n**WHEN system has multiple components (API → service → database, CI → build → deploy):**\\n\\n**BEFORE proposing fixes, add diagnostic instrumentation:**\\n\\nFor EACH component boundary:\\n- Log what data enters the component\\n- Log what data exits the component\\n- Verify environment/config propagation\\n- Check state at each layer\\n\\nRun once to gather evidence showing WHERE it breaks.\\nTHEN analyze evidence to identify the failing component.\\nTHEN investigate that specific component.\\n\\n### 5. Trace Data Flow\\n\\n**WHEN error is deep in the call stack:**\\n\\n- Where does the bad value originate?\\n- What called this function with the bad value?\\n- Keep tracing upstream until you find the source\\n- Fix at the source, not at the symptom\\n\\n**Action:** Use `search_files` to trace references:\\n\\n```python\\n# Find where the function is called\\nsearch_files(\\\"function_name(\\\", path=\\\"src/\\\", file_glob=\\\"*.py\\\")\\n\\n# Find where the variable is set\\nsearch_files(\\\"variable_name\\\\\\\\s*=\\\", path=\\\"src/\\\", file_glob=\\\"*.py\\\")\\n```\\n\\n### Phase 1 Completion Checklist\\n\\n- [ ] Error messages fully read and understood\\n- [ ] Issue reproduced consistently\\n- [ ] Recent changes identified and reviewed\\n- [ ] Evidence gathered (logs, state, data flow)\\n- [ ] Problem isolated to specific component/code\\n- [ ] Root cause hypothesis formed\\n\\n**STOP:** Do not proceed to Phase 2 until you understand WHY it's happening.\\n\\n---\\n\\n## Phase 2: Pattern Analysis\\n\\n**Find the pattern before fixing:**\\n\\n### 1. Find Working Examples\\n\\n- Locate similar working code in the same codebase\\n- What works that's similar to what's broken?\\n\\n**Action:** Use `search_files` to find comparable patterns:\\n\\n```python\\nsearch_files(\\\"similar_pattern\\\", path=\\\"src/\\\", file_glob=\\\"*.py\\\")\\n```\\n\\n### 2. Compare Against References\\n\\n- If implementing a pattern, read the reference implementation COMPLETELY\\n- Don't skim — read every line\\n- Understand the pattern fully before applying\\n\\n### 3. Identify Differences\\n\\n- What's different between working and broken?\\n- List every difference, however small\\n- Don't assume \\\"that can't matter\\\"\\n\\n### 4. Understand Dependencies\\n\\n- What other components does this need?\\n- What settings, config, environment?\\n- What assumptions does it make?\\n\\n---\\n\\n## Phase 3: Hypothesis and Testing\\n\\n**Scientific method:**\\n\\n### 1. Form a Single Hypothesis\\n\\n- State clearly: \\\"I think X is the root cause because Y\\\"\\n- Write it down\\n- Be specific, not vague\\n\\n### 2. Test Minimally\\n\\n- Make the SMALLEST possible change to test the hypothesis\\n- One variable at a time\\n- Don't fix multiple things at once\\n\\n### 3. Verify Before Continuing\\n\\n- Did it work? → Phase 4\\n- Didn't work? → Form NEW hypothesis\\n- DON'T add more fixes on top\\n\\n### 4. When You Don't Know\\n\\n- Say \\\"I don't understand X\\\"\\n- Don't pretend to know\\n- Ask the user for help\\n- Research more\\n\\n---\\n\\n## Phase 4: Implementation\\n\\n**Fix the root cause, not the symptom:**\\n\\n### 1. Create Failing Test Case\\n\\n- Simplest possible reproduction\\n- Automated test if possible\\n- MUST have before fixing\\n- Use the `test-driven-development` skill\\n\\n### 2. Implement Single Fix\\n\\n- Address the root cause identified\\n- ONE change at a time\\n- No \\\"while I'm here\\\" improvements\\n- No bundled refactoring\\n\\n### 3. Verify Fix\\n\\n```bash\\n# Run the specific regression test\\npytest tests/test_module.py::test_regression -v\\n\\n# Run full suite — no regressions\\npytest tests/ -q\\n```\\n\\n### 4. If Fix Doesn't Work — The Rule of Three\\n\\n- **STOP.**\\n- Count: How many fixes have you tried?\\n- If < 3: Return to Phase 1, re-analyze with new information\\n- **If ≥ 3: STOP and question the architecture (step 5 below)**\\n- DON'T attempt Fix #4 without architectural discussion\\n\\n### 5. If 3+ Fixes Failed: Question Architecture\\n\\n**Pattern indicating an architectural problem:**\\n- Each fix reveals new shared state/coupling in a different place\\n- Fixes require \\\"massive refactoring\\\" to implement\\n- Each fix creates new symptoms elsewhere\\n\\n**STOP and question fundamentals:**\\n- Is this pattern fundamentally sound?\\n- Are we \\\"sticking with it through sheer inertia\\\"?\\n- Should we refactor the architecture vs. continue fixing symptoms?\\n\\n**Discuss with the user before attempting more fixes.**\\n\\nThis is NOT a failed hypothesis — this is a wrong architecture.\\n\\n---\\n\\n## Red Flags — STOP and Follow Process\\n\\nIf you catch yourself thinking:\\n- \\\"Quick fix for now, investigate later\\\"\\n- \\\"Just try changing X and see if it works\\\"\\n- \\\"Add multiple changes, run tests\\\"\\n- \\\"Skip the test, I'll manually verify\\\"\\n- \\\"It's probably X, let me fix that\\\"\\n- \\\"I don't fully understand but this might work\\\"\\n- \\\"Pattern says X but I'll adapt it differently\\\"\\n- \\\"Here are the main problems: [lists fixes without investigation]\\\"\\n- Proposing solutions before tracing data flow\\n- **\\\"One more fix attempt\\\" (when already tried 2+)**\\n- **Each fix reveals a new problem in a different place**\\n\\n**ALL of these mean: STOP. Return to Phase 1.**\\n\\n**If 3+ fixes failed:** Question the architecture (Phase 4 step 5).\\n\\n## Common Rationalizations\\n\\n| Excuse | Reality |\\n|--------|---------|\\n| \\\"Issue is simple, don't need process\\\" | Simple issues have root causes too. Process is fast for simple bugs. |\\n| \\\"Emergency, no time for process\\\" | Systematic debugging is FASTER than guess-and-check thrashing. |\\n| \\\"Just try this first, then investigate\\\" | First fix sets the pattern. Do it right from the start. |\\n| \\\"I'll write test after confirming fix works\\\" | Untested fixes don't stick. Test first proves it. |\\n| \\\"Multiple fixes at once saves time\\\" | Can't isolate what worked. Causes new bugs. |\\n| \\\"Reference too long, I'll adapt the pattern\\\" | Partial understanding guarantees bugs. Read it completely. |\\n| \\\"I see the problem, let me fix it\\\" | Seeing symptoms ≠ understanding root cause. |\\n| \\\"One more fix attempt\\\" (after 2+ failures) | 3+ failures = architectural problem. Question the pattern, don't fix again. |\\n\\n## Quick Reference\\n\\n| Phase | Key Activities | Success Criteria |\\n|-------|---------------|------------------|\\n| **1. Root Cause** | Read errors, reproduce, check changes, gather evidence, trace data flow | Understand WHAT and WHY |\\n| **2. Pattern** | Find working examples, compare, identify differences | Know what's different |\\n| **3. Hypothesis** | Form theory, test minimally, one variable at a time | Confirmed or new hypothesis |\\n| **4. Implementation** | Create regression test, fix root cause, verify | Bug resolved, all tests pass |\\n\\n## Hermes Agent Integration\\n\\n### Investigation Tools\\n\\nUse these Hermes tools during Phase 1:\\n\\n- **`search_files`** — Find error strings, trace function calls, locate patterns\\n- **`read_file`** — Read source code with line numbers for precise analysis\\n- **`terminal`** — Run tests, check git history, reproduce bugs\\n- **`web_search`/`web_extract`** — Research error messages, library docs\\n\\n### With delegate_task\\n\\nFor complex multi-component debugging, dispatch investigation subagents:\\n\\n```python\\ndelegate_task(\\n    goal=\\\"Investigate why [specific test/behavior] fails\\\",\\n    context=\\\"\\\"\\\"\\n    Follow systematic-debugging skill:\\n    1. Read the error message carefully\\n    2. Reproduce the issue\\n    3. Trace the data flow to find root cause\\n    4. Report findings — do NOT fix yet\\n\\n    Error: [paste full error]\\n    File: [path to failing code]\\n    Test command: [exact command]\\n    \\\"\\\"\\\",\\n    toolsets=['terminal', 'file']\\n)\\n```\\n\\n### With test-driven-development\\n\\nWhen fixing bugs:\\n1. Write a test that reproduces the bug (RED)\\n2. Debug systematically to find root cause\\n3. Fix the root cause (GREEN)\\n4. The test proves the fix and prevents regression\\n\\n## Real-World Impact\\n\\nFrom debugging sessions:\\n- Systematic approach: 15-30 minutes to fix\\n- Random fixes approach: 2-3 hours of thrashing\\n- First-time fix rate: 95% vs 40%\\n- New bugs introduced: Near zero vs common\\n\\n**No shortcuts. No guessing. Systematic always wins.**\\n\", \"path\": \"software-development/systematic-debugging/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/software-development/systematic-debugging\", \"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\", \"metadata\": {\"hermes\": {\"tags\": [\"debugging\", \"troubleshooting\", \"problem-solving\", \"root-cause\", \"investigation\"], \"related_skills\": [\"test-driven-development\", \"writing-plans\", \"subagent-driven-development\"]}}}",
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      "content": "Task class: **troubleshooting a user-specific imported CLI/API integration where the command wrapper, skill path, and secret source may be out of sync after OpenClaw → Hermes migration.**\n\nUpdated existing skill: `hevy`.\n\nSaved the reusable insight in the Hevy skill:\n- check both `hevy status` and direct `node ~/.hermes/skills/openclaw-imports/hevy/dist/cli.js status`\n- stale wrapper symptom: points to `~/.openclaw/workspace/skills/hevy`\n- correct wrapper path: `~/.hermes/skills/openclaw-imports/hevy`\n- search env/config locations for `HEVY_API_KEY`\n- Bitwarden locked/expired session blocks key retrieval until `bw-unlock`\n- verify with `hevy workouts --limit 5 --kg` once key exists\n\nNo new skill needed. Existing `hevy` covers the class well enough.",
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              "text": "Task class: **troubleshooting a user-specific imported CLI/API integration where the command wrapper, skill path, and secret source may be out of sync after OpenClaw → Hermes migration.**\n\nUpdated existing skill: `hevy`.\n\nSaved the reusable insight in the Hevy skill:\n- check both `hevy status` and direct `node ~/.hermes/skills/openclaw-imports/hevy/dist/cli.js status`\n- stale wrapper symptom: points to `~/.openclaw/workspace/skills/hevy`\n- correct wrapper path: `~/.hermes/skills/openclaw-imports/hevy`\n- search env/config locations for `HEVY_API_KEY`\n- Bitwarden locked/expired session blocks key retrieval until `bw-unlock`\n- verify with `hevy workouts --limit 5 --kg` once key exists\n\nNo new skill needed. Existing `hevy` covers the class well enough."
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