{ "session_id": "20260403_053247_fd48a50e", "model": "gpt-5.4", "base_url": "https://chatgpt.com/backend-api/codex", "platform": null, "session_start": "2026-04-03T05:34:22.479661", "last_updated": "2026-04-03T05:34:48.590554", "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**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\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. 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══════════════════════════════════════════════\nMEMORY (your personal notes) [99% — 2,192/2,200 chars]\n══════════════════════════════════════════════\nThis file exists for backward compatibility with older startup routines.\n§\nThe canonical long-term memory file in this workspace is `MEMORIES.md`.\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§\nSession: 2026-02-28 18:09:27 UTC: **Session Key**: agent:pipo:telegram:direct:842987156\n§\nSession: 2026-02-28 18:09:27 UTC: **Session ID**: 6db978e0-3abb-4781-bee4-c3e1f5413a2d\n§\nSession: 2026-02-28 18:09:27 UTC: **Source**: telegram\n§\nSession: 2026-02-28 18:09:27 UTC > Conversation Summary: assistant: ✅ New session started · model: openai-codex/gpt-5.3-codex (default: kimi-coding/k2p5) user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning. assistant: [[reply_to_current]] Qué onda, Chicho 👋 Soy Pipo, listo para meter mano en lo que necesites. Ahora estoy corriendo con **openai-codex/gpt-5.3-codex** y tu modelo por defecto es **kimi-coding/k2p5**; ¿qué querés que hagamos primero? user: Conversation info (untrusted metadata):\n§\nSession: 2026-02-28 18:09:27 UTC > Conversation Summary: eu assistant: [[reply_to_current]] Acá estoy 😄 ¿Qué necesitás, Chicho?\n§\n2026-02-28: Usuario confirmó preferencias de tooling:\n§\n2026-02-28: No usa dispositivos Apple (skills Apple no prioritarios).\n§\n2026-02-28: No usa Spotify; prefiere YouTube Music.\n§\n2026-02-28: Prefiere Asana sobre Trello.\n§\n2026-02-28: Usuario pidió respuestas en voz; se respondió con TTS.\n§\n2026-02-28: Se instaló skill `asana` desde ClawHub en `~/.agents/skills/asana`.\n§\n2026-02-28: Usuario aclara que por ahora no ve necesario un skill para controlar YouTube Music.\n§\n2026-03-01: Se validó estado “Maxxxed Out”:\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [98% — 1,359/1,375 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, sin sarasa ni rodeos; primero la respuesta concreta, detalle extra solo si lo pide\n§\nStack (2026-04-03): Hermes reemplazó OpenClaw. Default: claude-sonnet-4-6 vía Anthropic OAuth hasta 04/04. Fallback: gpt-5.4 vía OpenAI Codex (Pro hasta ~09/04). Cron switchea el 05/04 07:00 UTC.\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\n## Skills (mandatory)\nBefore replying, scan the skills below. If one clearly matches your task, load it with skill_view(name) and follow its instructions. If a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding tasks to Claude Code (Anthropic's CLI age...\n - codex: Delegate coding tasks to OpenAI Codex CLI agent. Use for ...\n - hermes-agent: Complete guide to using and extending Hermes Agent — CLI ...\n - opencode: Delegate coding tasks to OpenCode CLI agent for feature i...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - ascii-art: Generate ASCII art using pyfiglet (571 fonts), cowsay, bo...\n - ascii-video: Production pipeline for ASCII art video — any format. Con...\n - excalidraw: Create hand-drawn style diagrams using Excalidraw JSON fo...\n - songwriting-and-ai-music: Songwriting craft, AI music generation prompts (Suno focu...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Use a live Jupyter kernel for stateful, iterative Python ...\n devops:\n - webhook-subscriptions: Create and manage webhook subscriptions for event-driven ...\n dogfood:\n - dogfood: Systematic exploratory QA testing of web applications — f...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: CLI to manage emails via IMAP/SMTP. Use himalaya to list,...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Set up a modded Minecraft server from a CurseForge/Modrin...\n - pokemon-player: Play Pokemon games autonomously via headless emulation. S...\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect and analyze codebases using pygount for LOC count...\n - github-auth: Set up GitHub authentication for the agent using git (uni...\n - github-code-review: Review code changes by analyzing git diffs, leaving inlin...\n - github-issues: Create, manage, triage, and close GitHub issues. Search e...\n - github-pr-workflow: Full pull request lifecycle — create branches, commit cha...\n - github-repo-management: Clone, create, fork, configure, and manage GitHub reposit...\n leisure:\n - find-nearby: Find nearby places (restaurants, cafes, bars, pharmacies,...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.\n - mcporter: Use the mcporter CLI to list, configure, auth, and call M...\n - native-mcp: Built-in MCP (Model Context Protocol) client that connect...\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search and download GIFs from Tenor using curl. No depend...\n - heartmula: Set up and run HeartMuLa, the open-source music generatio...\n - songsee: Generate spectrograms and audio feature visualizations (m...\n - youtube-content: Fetch YouTube video transcripts and transform them into s...\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - clawrouter: Install, configure, and manage ClawRouter as a local LLM ...\n - huggingface-hub: Hugging Face Hub CLI (hf) — search, download, and upload ...\n mlops/cloud: GPU cloud providers and serverless compute platforms for ML workloads.\n - modal: Serverless GPU cloud platform for running ML workloads. U...\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - lm-evaluation-harness: Evaluates LLMs across 60+ academic benchmarks (MMLU, Huma...\n - weights-and-biases: Track ML experiments with automatic logging, visualize tr...\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - gguf: GGUF format and llama.cpp quantization for efficient CPU/...\n - guidance: Control LLM output with regex and grammars, guarantee val...\n - llama-cpp: Runs LLM inference on CPU, Apple Silicon, and consumer GP...\n - obliteratus: Remove refusal behaviors from open-weight LLMs using OBLI...\n - outlines: Guarantee valid JSON/XML/code structure during generation...\n - vllm: Serves LLMs with high throughput using vLLM's PagedAttent...\n mlops/models: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).\n - audiocraft: PyTorch library for audio generation including text-to-mu...\n - clip: OpenAI's model connecting vision and language. Enables ze...\n - segment-anything: Foundation model for image segmentation with zero-shot tr...\n - stable-diffusion: State-of-the-art text-to-image generation with Stable Dif...\n - whisper: OpenAI's general-purpose speech recognition model. Suppor...\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: Build complex AI systems with declarative programming, op...\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Expert guidance for fine-tuning LLMs with Axolotl - YAML ...\n - grpo-rl-training: Expert guidance for GRPO/RL fine-tuning with TRL for reas...\n - peft: Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...\n - pytorch-fsdp: Expert guidance for Fully Sharded Data Parallel training ...\n - trl-fine-tuning: Fine-tune LLMs using reinforcement learning with TRL - SF...\n - unsloth: Expert guidance for fast fine-tuning with Unsloth - 2-5x ...\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, and create notes in the Obsidian vault.\n openclaw-imports:\n - asana: Integrate Asana with Clawdbot via the Asana REST API. Use...\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 - openclaw-bitwarden: Set up and use Bitwarden CLI (bw). Use when installing th...\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 productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - google-workspace: Gmail, Calendar, Drive, Contacts, Sheets, and Docs integr...\n - linear: Manage Linear issues, projects, and teams via the GraphQL...\n - nano-pdf: Edit PDFs with natural-language instructions using the na...\n - notion: Notion API for creating and managing pages, databases, an...\n - ocr-and-documents: Extract text from PDFs and scanned documents. Use web_ext...\n - powerpoint: Use this skill any time a .pptx file is involved in any w...\n red-teaming:\n - godmode: Jailbreak API-served LLMs using G0DM0D3 techniques — Pars...\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search and retrieve academic papers from arXiv using thei...\n - blogwatcher: Monitor blogs and RSS/Atom feeds for updates using the bl...\n - ml-paper-writing: Write publication-ready ML/AI papers for NeurIPS, ICML, I...\n - polymarket: Query Polymarket prediction market data — search markets,...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, rooms, and scenes via the Ope...\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xitter: Interact with X/Twitter via the x-cli terminal client usi...\n software-development:\n - code-review: Guidelines for performing thorough code reviews with secu...\n - plan: Plan mode for Hermes — inspect context, write a markdown ...\n - requesting-code-review: Use when completing tasks, implementing major features, o...\n - subagent-driven-development: Use when executing implementation plans with independent ...\n - systematic-debugging: Use when encountering any bug, test failure, or unexpecte...\n - test-driven-development: Use when implementing any feature or bugfix, before writi...\n - writing-plans: Use when you have a spec or requirements for a multi-step...\n\n\nIf none match, proceed normally without loading a skill.\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: Friday, April 03, 2026 05:34 AM\nModel: gpt-5.4\nProvider: openai-codex", "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)" }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } }, "required": [] } } } ], "message_count": 11, "messages": [ { "role": "user", "content": "Listo" }, { "role": "assistant", "content": "Dale, ¿qué hac? 🚀" }, { "role": "user", "content": "En que modelo estas corriendo" }, { "role": "assistant", "content": "Estoy corriendo con **qwen/qwen3.6-plus:free** vía OpenRouter." }, { "role": "user", "content": "[System: This session is about to be automatically reset due to inactivity or a scheduled daily reset. The conversation context will be cleared after this turn.\n\nReview the conversation above and:\n1. Save any important facts, preferences, or decisions to memory (user profile or your notes) that would be useful in future sessions.\n2. If you discovered a reusable workflow or solved a non-trivial problem, consider saving it as a skill.\n3. If nothing is worth saving, that's fine — just skip.\n\nIMPORTANT — here is the current live state of memory. Other sessions, cron jobs, or the user may have updated it since this conversation ended. Do NOT overwrite or remove entries unless the conversation above reveals something that genuinely supersedes them. Only add new information that is not already captured below.\n\n## Current MEMORY (your personal notes):\nThis file exists for backward compatibility with older startup routines.\n§\nThe canonical long-term memory file in this workspace is `MEMORIES.md`.\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§\nSession: 2026-02-28 18:09:27 UTC: **Session Key**: agent:pipo:telegram:direct:842987156\n§\nSession: 2026-02-28 18:09:27 UTC: **Session ID**: 6db978e0-3abb-4781-bee4-c3e1f5413a2d\n§\nSession: 2026-02-28 18:09:27 UTC: **Source**: telegram\n§\nSession: 2026-02-28 18:09:27 UTC > Conversation Summary: assistant: ✅ New session started · model: openai-codex/gpt-5.3-codex (default: kimi-coding/k2p5) user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning. assistant: [[reply_to_current]] Qué onda, Chicho 👋 Soy Pipo, listo para meter mano en lo que necesites. Ahora estoy corriendo con **openai-codex/gpt-5.3-codex** y tu modelo por defecto es **kimi-coding/k2p5**; ¿qué querés que hagamos primero? user: Conversation info (untrusted metadata):\n§\nSession: 2026-02-28 18:09:27 UTC > Conversation Summary: eu assistant: [[reply_to_current]] Acá estoy 😄 ¿Qué necesitás, Chicho?\n§\n2026-02-28: Usuario confirmó preferencias de tooling:\n§\n2026-02-28: No usa dispositivos Apple (skills Apple no prioritarios).\n§\n2026-02-28: No usa Spotify; prefiere YouTube Music.\n§\n2026-02-28: Prefiere Asana sobre Trello.\n§\n2026-02-28: Usuario pidió respuestas en voz; se respondió con TTS.\n§\n2026-02-28: Se instaló skill `asana` desde ClawHub en `~/.agents/skills/asana`.\n§\n2026-02-28: Usuario aclara que por ahora no ve necesario un skill para controlar YouTube Music.\n§\n2026-03-01: Se validó estado “Maxxxed Out”:\n\n## Current USER PROFILE (who the user is):\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, sin sarasa ni rodeos; primero la respuesta concreta, detalle extra solo si lo pide\n§\nStack (2026-04-03): Hermes reemplazó OpenClaw. Default: claude-sonnet-4-6 vía Anthropic OAuth hasta 04/04. Fallback: gpt-5.4 vía OpenAI Codex (Pro hasta ~09/04). Cron switchea el 05/04 07:00 UTC.\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\nDo NOT respond to the user. Just use the memory and skill_manage tools if needed, then stop.]" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "incomplete", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABpz1Fjk6E3pyiqcITBiWvrLvbEdJqOmtDInS4QYio3kG2N_cnTSKL422vBjDFfJhLn9gBmxBE-FID9xvEILO8uETocV5HS3fJR8jxNy78WFBHEAsEHTtCRQyQzAu1ZdFjbYp9KxsHI6MPr3L6UJCgi4OAKWiKk5a1iWwp4To1LWIXzGjbXqnSw1j9I9JfRlM5H0JCDeEJ8UQOopBfQfdChLiWeFmCfVnvFLHfABcVtDTvXpRaKC545r5ewgfQqWhG1nnzTPhb2NJX6rierGx_YJRoyT-rUL_eGaG36ac6qZfof1AqzOO8JtF0JrlFDoUzCU2sbS-fIc7Nm0CkDspQszqr5QP7C5W1moeFNFr9eO9-CSU-1C9HT_ec4BxGwyf-Txs_TyVx4Qew0M9ir3qomNOFP-bHrLAsrE_F1WFYhW2Ud6tnVVW9TGbTQU7Ik5jT44SsHuwUCy4QA5lDbtECVPRYjPdUhFsGMVF37-PyrfHGix9KI5eHpxTEqE6heDIvSX-giI7kBFmsiNU2Wp0NaK5fI0Y01QGzK-SUDmSivS6qGsK-_FOa0775-JLAiPVISU3aN1-50HAR-sbkvkLsnofD6dxNuPr6rAl5nSyjMJPbgCvLwKYGLkPSfzUu0dYMoFSQfR4ZZG3xIz2mVdRnvB5iUve7irTCqhoANRDiJ1UdBIYiOYGBrZaW3PUtWNzLq55olPehTBsl0Mquq9IWwlMmN9wFOB1rwD4Mj7Q9NtGcS_CEYoH608TZQ0YHpufOA2dVHX4X27Nm-uDWL4-a-tBjZUM2tUnp2eqnoypQT4EFB1zJFDGA7Sr4I-Hkaoy-qbMd6yRXFJjp-woD9KIMpcS6BBiRRVMv5EJopN6MCUhDaGQ7sjgNB0JaeuVamE1JnMVSBkQIp3XAckp6eCAfS0ZDpcEVf-WWfOJu_Hjj3xbsEXHfyViurMD7NtKOQpE8Qxv1SGnoNrOinCt36RQiI_AYxSpneiHN3rkAA6AlvV0RSgxgYumi-f72PCFqZuBmSoj6LzkHem_IIkkYq2flUZz1we_mRYv2eMx1i66gtnPXmET3e0M6HXDEWkWz6xCOMt_4i091zS9GVof7zHZIOle21RSGX0q53e_CnvNjJhoVYNxqQ-44nFGe6ZndIdc54cXOfN1zWaVyqrmqeKrVzUVuyS5Ss_Kp8H5LK5D7oaWkJKcMIRx2E1qTsuta_10Dk_egJPAzGY8IMNvVjbIMSW-cKGUYtROUcgYz54HPcaPTRwp_33V0BNQoYaIBToOxDA61cJSDc0pKE0BAx2q3EfE7Or_Qe4mh0wA_X_KBxYGK5mWkeM44z0kyBdCcxlV1U_LIzdvvx9vKyEX19keqyLYSCpMnp3beWAEZD_j3HUCxlcZpGa9DdiRaFLewCDeCd7ZFaiTqKvOzq9LPCjPK-WEEA4bWswJ0EgGTyMbUCTRQSwzdSLn0vIXq5ELetPy_-CDGDIYwYcWFpmswrPUmg9wN_E17mQHVR2gWKTGB_N0UmO06-7JAN5Inh66-dKKP0KCtWdLUChyuULAzJWJbbSlAkN76C8E2IDTtoEr4hjYD9ZcLiuPHAM4-CktgHkB27qZAUaWcU7HhYyFZid4du1o02aHr63e44spJSu3ttM4A-gM66HylPfFM9uzI7n8jYTCSBXFqSgfRw52ELLKS4eEt5Kw==", "id": "rs_01f70eb6f8fc94bf0169cf515f9440819b8ca01759e2c190fb", "summary": [] } ] }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_tyHzVLonNFEJDxYHQrLWf8mu", "call_id": "call_tyHzVLonNFEJDxYHQrLWf8mu", "response_item_id": "fc_01f70eb6f8fc94bf0169cf5165f194819ba30ef755b3566fd6", "type": "function", "function": { "name": "memory", "arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"2026-04-03: En esta sesión el runtime reportado al usuario fue qwen/qwen3.6-plus:free vía OpenRouter.\"}" } } ] }, { "role": "tool", "content": "{\"success\": false, \"error\": \"Memory at 2,192/2,200 chars. Adding this entry (101 chars) would exceed the limit. Replace or remove existing entries first.\", \"current_entries\": [\"This file exists for backward compatibility with older startup routines.\", \"The canonical long-term memory file in this workspace is `MEMORIES.md`.\", \"If you are reading this during session startup:\", \"Prefer `MEMORIES.md` for curated long-term memory.\", \"Use `memory/YYYY-MM-DD.md` files for recent context.\", \"Do not rely on `exec` just to list files that are already known.\", \"Session: 2026-02-28 18:09:27 UTC: **Session Key**: agent:pipo:telegram:direct:842987156\", \"Session: 2026-02-28 18:09:27 UTC: **Session ID**: 6db978e0-3abb-4781-bee4-c3e1f5413a2d\", \"Session: 2026-02-28 18:09:27 UTC: **Source**: telegram\", \"Session: 2026-02-28 18:09:27 UTC > Conversation Summary: assistant: ✅ New session started · model: openai-codex/gpt-5.3-codex (default: kimi-coding/k2p5) user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning. assistant: [[reply_to_current]] Qué onda, Chicho 👋 Soy Pipo, listo para meter mano en lo que necesites. Ahora estoy corriendo con **openai-codex/gpt-5.3-codex** y tu modelo por defecto es **kimi-coding/k2p5**; ¿qué querés que hagamos primero? user: Conversation info (untrusted metadata):\", \"Session: 2026-02-28 18:09:27 UTC > Conversation Summary: eu assistant: [[reply_to_current]] Acá estoy 😄 ¿Qué necesitás, Chicho?\", \"2026-02-28: Usuario confirmó preferencias de tooling:\", \"2026-02-28: No usa dispositivos Apple (skills Apple no prioritarios).\", \"2026-02-28: No usa Spotify; prefiere YouTube Music.\", \"2026-02-28: Prefiere Asana sobre Trello.\", \"2026-02-28: Usuario pidió respuestas en voz; se respondió con TTS.\", \"2026-02-28: Se instaló skill `asana` desde ClawHub en `~/.agents/skills/asana`.\", \"2026-02-28: Usuario aclara que por ahora no ve necesario un skill para controlar YouTube Music.\", \"2026-03-01: Se validó estado “Maxxxed Out”:\"], \"usage\": \"2,192/2,200\"}", "tool_call_id": "call_tyHzVLonNFEJDxYHQrLWf8mu" }, { "role": "assistant", "content": "", "reasoning": "**Deciding on modification**\n\nI attempted to add something but it didn’t work out. Now I need to decide if it’s truly worth replacing or removing what I have. I’m thinking probably not; maybe it’s just not significant enough to justify a change. I should consider stopping here and moving on. It might just complicate things further if I dwell on it too much!", "finish_reason": "incomplete", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABpz1Fv4w3YAJV_TUQZM1jm0fpzs-2zgUxSNAuqQ3XIy-1dcok-kPhZSvXGnviLt9QZ19wCM6H6CLbYKeXAttM1p3v9qB19_LtSTv5G9XAJrKUk0B6KWlHSOFKxw_jfqTtfMpj_eeVVGhz3dbh5ItnNFKZJVCy7nvqsaDn2eQDPEZvRKn0JdL0i12IejQpwooghGg54vjpcBEriaY_7EF-m5nA-k3cyUqUtPGXmC6Co4PqrQucVBxNN4Ie-XA7ixdl8MrxVASKQe9nqhvLDgt4SCxEPYFEpUoM97I6UdtSeehfkYNEdXCr7DnDawcVQO8pmv2RxZbw6Rw_zeuqiGJkXgNnmYmKihus-wxvxeNCIdD7HDywZSfAeb9OqFBMVS2PCqUCQHxyRXcTMOWcefvYMsHn1aL-o8NeTBC-mgJkkNgNjoXYeiGZsmXzD7lyLeQZiPygPIkGohaOPGZL--51_HRNItAE3_T_vyQJMDN_OUnQhiIWNARWcgmJFpbGEZylfMc22KgVXd1Jx_bKMu6GPO5EnZikJiSGe1DsQahdpAHsuyjHV_yqgPp4j0qJm_6efmJEN7jRFizPEmBSavo0Rod6XynCxUWqj4JYdl_xkqVUNh9_hfjbIWKtHdh6kDA2FHXre4gpquxx16pf0nzSaTQy6UDcOS9l63VlIHTU822oDXsvAGH6szDUeHF7_r_ANfhtXHNJYWQuIHqqmdFRx2MgnoiNcsPirgzESEnP2B0l5t8DmXp_A-KIml-CJzAHyeWZwzCBuu7l6Csvngw0g6Gtb5Suc5IZCSuWKVK_ijZMhlIgAMQsGP1yX5siuc2v6CVzFjlUKgd74k7po7PnSS4wmEpAIgnqVml98he8c31bX62GrjDO0CZ72Sf8EEa13D555SNMTxSiE5EbBE2Ifqdbqd-J9WlBk2v-zhqQ-z430g74W7icZk7Yf_uRwtLzkbOximEY1C8UzhN6oqkai5AymBg==", "id": "rs_01f70eb6f8fc94bf0169cf516cd658819b8dd1ceebf1eede40", "summary": [ { "type": "summary_text", "text": "**Deciding on modification**\n\nI attempted to add something but it didn’t work out. Now I need to decide if it’s truly worth replacing or removing what I have. I’m thinking probably not; maybe it’s just not significant enough to justify a change. I should consider stopping here and moving on. It might just complicate things further if I dwell on it too much!" } ] } ] }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "incomplete", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABpz1F0Xz89Z1jw0o1nPBJwJy-UJCsc8uCH13i2gVCcEmHk1AU3DFblEndKAsKtSNz1jgX2G2SLwtViudxip4sLCHHY1SEFlK6N2C7nXAgj_jT3IhtKJXnFhLg6v1NpVtWjzweVeS-d_8sHC-OuA5F3Jfnqck0QESR-Ds7VbptPxJsPmLwUKmm0FGl-TkJJDeyPLQ2Tqjgg0Xabruh4p5PRetDkAP47lZWXhMswGCRXUk1jGgevWYcH-5bpl26GWGIYEthNd3JUv2vdMWEpdCwmeHljk3tyNnEZDrm7HVACa37IQC3X-Rk6XKA3WQ0p2XhIn8dto3YwwspiBDpuxJmAQl7rn7NFmo5G6aRQh28fI52Fe5xD9aBoVJKaOX5O5KQbngOTyUK3Vu58LrYhXT6rKrCLWbRO1vRaNSGccpOaM2rV4IaVHVY82J63dztdXgg8y2TO8OvWLF_CGnoZnwDFBQJOcG3loMkX2y1bR9sltQps6iGeTCXKdCD6jIUTJyKGwWMxiEOGoL4kgIwOfeY3eVpLYjNlmL02XAMfGOQG62Ivte8-ncoVxWzrv9Byap-0ckqcQW57ZgzR15ZzCx4QBe9b_mbOKrOJThtD5DItShXLY0gUx5Rpjr85RfYS6iwWjmtTvN9p5bG_cDzV5WT3Ny74Id6Dw_JASgHWTlzWuvRooakeEtxuLhZb5EE4Bfs5ai-HawJ2kgw9xZ8126FqrUab_9kfOyxf-5tV5z-iZL9EMW02e0NuJU-rGmxg1PpWps85rarts6Shp1oRyv4vKO2_1TCVACk-v3bp5sdrrZtUIauUO1CPJKPxHHbth59vnCqX1TCulfP-P_TorJDeWV--9kd-ur9tMg0OVsAqRCE1QP-k25jy7j4RHZ_Xoh98ycHwq1tlEpg14Ee8hKL43sgQ1aUbUW7sneNXCy0N7KsQI-8cSLF6jhEUon0IotHOT94T0OHNDA2diU5VJ93ZmWbee6i9CKh-t6LD7PW2zyY32abrr-ZzmzHSfN2M3PLnZtzDeH9xuJSGp044Q2o5RjmTD7lYcf3QiFgyJ1j5Hb_o3oVJbpgeiHZXUlno-ig8AFNIuxiuDkGy7OIH6OfMRGc7EKVrbbjVwMbW8loHirpdTerfiRmfxmKVesd9isiNFlApoE7rVq0fSmFH6x9dJbc5RAXrCABLZ_jWprC865MK3w0cMscFEmpCfdYE_q02TCQQRvvHsKLDgKdN5ptN91qdGMJOGygFKJ9Bo-78REGkd4lHCLi8cIk17KOKxg7On6Q30a8PzhuUxLRyYASv5HjQ34N77hNeJAB-QAOBch7ZrpyKVwb8pmvZwY9U70BsB4XC_K3G1men7MkNByHed7uIMXiIiioLlibzzZTqmHu1Ol7hev1ZgLvkdZf26xdtkzqzDO8XOlVPWpSwy7m9MGccwXkdAqOAN5HXcJrNfzqEocpTy5SYfMvXweJHiZdHZGu8-a5HSe2Pr0xA9aLQ7pG8G4JLO4qRj81jslQDBkfKiYE56GwecJ7X3MQ_jUz-oJoaYvDrv_Jivd1Gpgb9D1rf2Tpv8ogCtWt2bkuHhXJlhTnJ8ruggNjZgIl9G4R91XlsDcM2Quq8-zAVC5EMfZGoGJGvCsHMAo7WajRKehzG87V8icamsuk6goQShHSjcfrBYbLAEPys-hXEEPBCSzXWGArU7bbnmWdKUL7kHW-pxGy3KfVvgxPx-bJlDXQR_h75TvqLtskvnQFic0JyTkqNlU0cx-4flTywWMS4iT3ANsF8WX-Nuyr6ml8MY2-Lvl1FjwmkIXBH851EAYOuUVTF_bvswO1tNdsbDwyO7dyWYM7r4Ulb_NjANLfEjf2JBMDwQT5hIenXSctz8o9gJQuNyw==", "id": "rs_01f70eb6f8fc94bf0169cf51705240819b85dec0d49e96aa8c", "summary": [] } ] }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "incomplete", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABpz1F4HkFxO0Pymgc0e2-_KxHGyXQ3ZVy2cOAmOORK1eCEL4ReERcevY-BhOPvBz5hEXJd4DNottk3F-en_BrR7wadm1uyw1nurDy47S20-YdOwoQMfR0rMt0xDlbLHms7mpax3-g2D1OKSz8PPXM6YwgR2XQ4_f9ucY5JmCvgozCpwX2U742L4XkpregFk7KpV1d1OwrfE34EX99ja76BBQxfX73FrLmrpTXA1MuSV4WGyU8soPwNh63D-gXXJsrlcrx5WKL4Vgiq2oWGJL_35_egGyZaRkiFitJGk_YWxUseMm2uZ0oog-8-EmB3Dy6zMpom6dcXxSGZCmoUa_tiXJYEMN2VwFV_Le-hGuan7S6zjuuQz32f0DH5rjT5wH-DwD3Hzgzbsxg6pM1kk6CPPO8Ct0oYXFvOF-KL3Ecv2f9c6oBeq3FWfMn9NYPQyB_lF5scxRwNjCh2cqmoMif7Cuq-_KXe7jM0QRLI-3cXmMqqoeXYTtWHEzy0RV4B0HvStgNuvlFecgyY4LlBi6P2AXkxYBOhN7OyNaALsNgp8oGFcGZfod3qhWyCepuWL8clpJwBjYkjW_WynZeYDVXpqNY80PNOt8DeWcTfWVJYxDOlQu9HkA-CNlEFqZ8hLA7H-Qq5Pdcg2MYpZ2Bo1Tn5qY3h0JN3bimygbYZSpejIgob4CSjq99oAV7kA7qW3bwuycg3b9biYgESj5IjDon5ZN-GHrAU2GAecbWjh8bBUw-D2fV1R4Bu7W7kUmV0nPu-Dyir1dzDnMKiaZa303oooTotmTFXu6O5meJQDM6Gro-NB6RjPbv7uUZuutAsQqB-yjws_TlvdNvejBy_7LuWMgn9DMM9k9US33QRNTNG2HqaTPq7hgGQB0ITMklFo7Iznm2D_ROPaVA_eALRq4Zuo_3zj3q_UsEueQI_KTFxCrYsOC-qoaH-xQ0cxnuIqIXTnHQteO29CAfJQVptf_26_oTUfUUb38atZH513IkA-xg3I4OPRv4CdHODUTnuOI7lL8D9KN-gfPaiz1vPjsoRptT_Htdv6HjthuJJnLYxRKg3Zrcuc67giCV3BgtzFNY0kqJVWoIgbbEiLjdCZorOAPJsHmnaWxSxoqWlHMZ0r5tL1vd7Xz50FiS9mTDCWQqeI6DVPFK67dv9IayBB1nOO5sx4jvdB09i96AItoKaC4BCEEws_aNro-6obKfI1cpX3LMcoy_-g3xLVcoJjKXpKrb2L5uVm03_P_75v2TRPoooUgR1msdcrlqIRBYcShU2FnVcWBQ7njqwE-1wDH_WQo25E16ZlReWy5x6-YtTtYNMl-TC2V4XoFM8MHlteo9i84egrPMtcCygLplnJGU8uIhhOJR44uadh2yWoiGOq8AwJojHra8xRKZBzjoopbGOmCwH2c7cI2Rsy7CV16nmmhM5Zdz0CP6gvBREBOWgqc_obfPEEEaf9WN2faig_EERxiYPmdwzkG3hFeG4aioOxOKPrOWwZPorAsog_7WT90D80xk=", "id": "rs_01f70eb6f8fc94bf0169cf51757324819bb3abd76bc6c6086f", "summary": [] } ] } ] }