{"type":"session","version":3,"id":"11ff800b-fdb9-4695-8cca-e5362f752ecd","timestamp":"2026-03-03T16:48:18.135Z","cwd":"/home/ubuntu"} {"type":"message","id":"222bdf16","parentId":null,"timestamp":"2026-03-03T16:48:18.135Z","message":{"role":"assistant","content":[{"type":"text","text":"✅ New session started · model: openai-codex/gpt-5.1"}],"api":"openai-responses","provider":"openclaw","model":"delivery-mirror","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1772556498135}} {"type":"thinking_level_change","id":"3fcc3c6d","parentId":"222bdf16","timestamp":"2026-03-03T16:48:18.262Z","thinkingLevel":"medium"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1772556498266,"provider":"openai-codex","modelApi":"openai-codex-responses","modelId":"gpt-5.1"},"id":"9025e4e3","parentId":"3fcc3c6d","timestamp":"2026-03-03T16:48:18.266Z"} {"type":"message","id":"1b2ff276","parentId":"9025e4e3","timestamp":"2026-03-03T16:48:18.284Z","message":{"role":"user","content":[{"type":"text","text":"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."}],"timestamp":1772556498276}} {"type":"message","id":"3a5be2f7","parentId":"1b2ff276","timestamp":"2026-03-03T16:48:25.875Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning memory retrieval**\n\nI want to start by calling functions.session_status to get today's and yesterday's dates for constructing filenames. I’m considering using multi_tool_use.parallel, but that might be overkill. It seems better to call session_status and then read the memories sequentially. So, I’ll start with functions.session_status, then use functions.read for the memories, making sure to handle the date format YYYY-MM-DD. If some memories are missing, I'll just ignore the errors. Let's move forward!","thinkingSignature":"{\"id\":\"rs_0be310058e5dc8070169a710d40d248191aff18648c966c702\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABppxDZEkR1FgBY-im2rVnI5O_1tK3RU0Nr2Sf2CGN-rvJxLHzLN2Or6QqwS7FHpyQ6BYO3F5IcbVbezGYQkv_-CDcoZn7yKCvA-posla9Ul_rcEKZYjA941NKp381rO3jby62coOJj5XAluHLEiTnslVARWbYxzPCLwcleaNptyALz_WLc11aXaV3BAH-Ut_vfkFxGD3cXnDzX9Jli8REOBkFog43Yp6dPbQj3aOTczaROzMJDQwr3HuskaQTZgk0GJSiIvsbbasdY-m1OZxQH1KY3R1c-ZOWimEJ5K4qUVAyFOmCLfaAYqzR616QQ-DJiszaPia6y3ugg8RkybLndV1jMK-oyq9tjPlAKy4tS0Lh-tug3Kn1inm_T0pBuKrG4C6_DNCrMPBCi6hR4SweKpnMEN902wBNS8u0Ks-bwBycGHsrc51NHS8GlZHJtiIou5J_eXuRsLnd-IBIAm0Dzhp1eykR-OezwKQTHjXB5gY1ncYtvJBdsxcaIz7ekHwcU1-wMqnhk3L2fWh85jk_QsjkNgQw6rwwOZCYGem80GDYj-jYKoHOxq81_Mwt4JTE6aDEx66HD8X9th6oUsW_veSFTs2uQCdIyGpG2exAGaoGJDhuLy1awI70xr1iybSkaBFAAwYJ-_TBtKoyusgYo8sFvPQoGNzVMmzSlKaa6gXgj_EflxMKXyYsWUB-4tcstO504URsJAmBvCiBsByxcBfa5gloAUxYnoDydt60bjFiyulScGmWUx5AYh8JLJnucMf7R5x7uFbFe1TxIBosiIFyAwRoSYEPJ7NDGZNoJL4jExNFavt4qnlG9Est7U26jU5WrSDqRAvpKGcLTIKP-cKxOTilfTKHJ8KFV59ukY9TD8Vxo0JMsuhdrSl46lWFfZ16IDO5EYypDRJWaIDTdspMfACB42HgL0ZYkVr5oAqpjbAmkTdE_eFfonigBKTFhkjITsQArlllQCsAM5OYyOJGiPmDO91_Hta9zJ70w2k0i27vhYgMhkEefsS8orr8-ESAIOLMO7-Hde-cIdoHdhHuy7K1-HmHS4yqmex05Slr2RVJw1VQQTg9yLitrLLfG_GJQ-XX_NrVtlxDe7VDelh1aUMLyeFGsB_1TqiaMianHfVxZVJwVq4atJcYLpEM_GI4kPVvrD_gSKUDsXhr6aGKFCckE6hG8tajojEDr1WoBvi8xiCd_UIPLahF4EYL4Zob_MupqN__pxIeJhW9AKMLFRErikv0R0BQAZDAfcs-X6m9Tv_XToYH7kEJy3w3Fr6NyCWt7XkD4dtMUziUhnc270qTv4IRico79A-oqtFpfz1zyFEjoG_1z7915KI3MnJP9Mcyau54iWUYWb5KzTTmGjIW1UO8N7L3dYbb8cgN_h7-53SMLJh29zrd8IgF1uHdOSydIrqJa9XWegSyYGSRBUcTbWWcW5rQO625Kjjjne_SJLrrrL6BAq6xNdFdx_BnyPtlXyzcMK1_osrMvLqYie6qjI4bMqH3_qRddoYacB306ts5UIN7REM81ObgMzmV7_IQdyKS7F3C-i21hvfDLuyqhqDyQo72HDW80VkP8CLLuyW2rKWAArnFoucM3eFSDPT8YyH7yzV8peTU1qOkeH1Ul1SCxd-hvKgs3pDq-W8B53y66HmacHLO7B7amz6ky3yKokyBkl7FxmYcwXPh4CMWABtCvTZ0uFGTCdKqxMzy9jA3i7mLvPc9Gf1dS1H0FeBmgbOACm9izBL1Azx2cvLVOR9vaIj4zTIpY6ed6UqNPaxY3l6QgPl6MCPhhw0TXF4MsM-g0f_HCjtGMLwB2iUxXEoeOOihkBaH7CGbKS8qoblsJNrj1KANO54khd2xxBiDxca0n7qdGwfzMOHASh9KPQ1eCGFZI3nw7kuT_17ULWTuoQE8H5C91TVumizzWG-gpnHVXhWu0AWDKhBNsb_IYNF5Dx45GQ3LOQQ7mk_uR7NoQwB9KDV_rCKSSGXIciACsJQg4iEibPNuLKsASWNo4n6OpNhb2Xb96-5gZkKbI-sWbS_fKVV1-hd1SiG9sGJe6xh8_lyBD5Og_SdukEp9km5UqXWAZEMhFEDKdXrpFa0mTJcrapFNqdPXqOozgOsyY-b74S0vs9Neg7WbWZG1J7_sdwV7rXUpXzOOZl5likcq6mBEAtigYVwGRmjZ7gvTrftgejesV6fjON9cbWv4QgiAMn91JmNH1jPAHO34Ji0FBFY3XFk9xkwxTy1qULxjx1zSgpgVNR-JjYI4Uc_n7GW9gdX3SoWdRbZNLl_QQx08oaeNhu8Q2wo0EwqG_FIcasmLCAt1HH7AXafZ0e-hvzD3F4LVU8RfPi2EBlLvXeQwj5SuMXRtSfKwp1N6HAHeDIUlzN44GHG3yTBnNqCf51tWr45dpqVA7QgPza62SrUUGpYmN2Evd5HjshUPE1ylmFNuq_yDyFPLqYjr37r6SE1-A-wl6JeCJlLelLDFZAWgdNNZmIxUbum6M9JjcaVPCxoyekS4iA-FO6ZJWOcWWIyWAzzpHjJPoq30B7XLWw0dOJiUFl8ySQD0KfD4BMZkXTLR0C6MDnf39ihPh-VP8WeGhIgzEW4AXpp62_KyUD9nuFx9l8F4QoCF6JIPG-0Mg0OO_XKCE9DARpXZRaqvRaImjz-vsvd1SfgO14niP2csA0MnvwVv8KcLqlSg1ie20G6HjAWd1Q0LPt7VyenJCLJf3k8A6rWV3j-ioIYkHpCbO7SsxZ3-oAcod5Blubj3-T9q0S93uV6PMpl0bg1fEvwrOdeRzs5T6BItiqVh2uHlB4b8uZ92uVxhvaD584wZv9YmSwvjJ4tm2RHT7KA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning memory retrieval**\\n\\nI want to start by calling functions.session_status to get today's and yesterday's dates for constructing filenames. I’m considering using multi_tool_use.parallel, but that might be overkill. It seems better to call session_status and then read the memories sequentially. So, I’ll start with functions.session_status, then use functions.read for the memories, making sure to handle the date format YYYY-MM-DD. If some memories are missing, I'll just ignore the errors. Let's move forward!\"}]}"},{"type":"toolCall","id":"call_pQtKAGqf5nwTVm7hlIEzGyIk|fc_0be310058e5dc8070169a710d9bfa0819180640a8ac357813b","name":"session_status","arguments":{"model":"default"},"partialJson":"{\"model\":\"default\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.1","usage":{"input":13029,"output":358,"cacheRead":1408,"cacheWrite":0,"totalTokens":14795,"cost":{"input":0.016286250000000002,"output":0.0035800000000000003,"cacheRead":0.000176,"cacheWrite":0,"total":0.02004225}},"stopReason":"toolUse","timestamp":1772556498281}} {"type":"message","id":"cb4d96ce","parentId":"3a5be2f7","timestamp":"2026-03-03T16:48:27.371Z","message":{"role":"toolResult","toolCallId":"call_pQtKAGqf5nwTVm7hlIEzGyIk|fc_0be310058e5dc8070169a710d9bfa0819180640a8ac357813b","toolName":"session_status","content":[{"type":"text","text":"🦞 OpenClaw 2026.3.1 (2a8ac97)\n🕒 Time: Tuesday, March 3rd, 2026 — 4:48 PM (UTC)\n🧠 Model: openai-codex/gpt-5.1 · 🔑 oauth (openai-codex:default)\n🧮 Tokens: 13k in / 358 out\n📚 Context: 14k/272k (5%) · 🧹 Compactions: 0\n📊 Usage: 5h 76% left ⏱36m · Week 87% left ⏱6d 9h\n🧵 Session: agent:pipo:telegram:direct:842987156 • updated just now\n⚙️ Runtime: direct · Think: adaptive · Reasoning: on · elevated\n🪢 Queue: collect (depth 0)"}],"details":{"ok":true,"sessionKey":"agent:pipo:telegram:direct:842987156","changedModel":true,"statusText":"🦞 OpenClaw 2026.3.1 (2a8ac97)\n🕒 Time: Tuesday, March 3rd, 2026 — 4:48 PM (UTC)\n🧠 Model: openai-codex/gpt-5.1 · 🔑 oauth (openai-codex:default)\n🧮 Tokens: 13k in / 358 out\n📚 Context: 14k/272k (5%) · 🧹 Compactions: 0\n📊 Usage: 5h 76% left ⏱36m · Week 87% left ⏱6d 9h\n🧵 Session: agent:pipo:telegram:direct:842987156 • updated just now\n⚙️ Runtime: direct · Think: adaptive · Reasoning: on · elevated\n🪢 Queue: collect (depth 0)"},"isError":false,"timestamp":1772556507366}} {"type":"message","id":"2f3b52fc","parentId":"cb4d96ce","timestamp":"2026-03-03T16:48:29.131Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_4DOo0xTRS4BpSOMTadvuG1CN|fc_0be310058e5dc8070169a710dd018c8191943d6dfc7a41c61d","name":"read","arguments":{"path":"MEMORIES.md"},"partialJson":"{\"path\":\"MEMORIES.md\"}"},{"type":"toolCall","id":"call_RR5wVBUhL8p3kDOJEOcGFuLl|fc_0be310058e5dc8070169a710dd019881919f03929f0109967f","name":"read","arguments":{"path":"memory/2026-03-03.md"},"partialJson":"{\"path\":\"memory/2026-03-03.md\"}"},{"type":"toolCall","id":"call_GiJ53IQlupqOcLGFAXQ22J7c|fc_0be310058e5dc8070169a710dd01a08191af2e1918f1a7ec58","name":"read","arguments":{"path":"memory/2026-03-02.md"},"partialJson":"{\"path\":\"memory/2026-03-02.md\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.1","usage":{"input":274,"output":77,"cacheRead":14720,"cacheWrite":0,"totalTokens":15071,"cost":{"input":0.00034250000000000003,"output":0.0007700000000000001,"cacheRead":0.0018399999999999998,"cacheWrite":0,"total":0.0029525000000000003}},"stopReason":"toolUse","timestamp":1772556507372}} {"type":"message","id":"3af9d644","parentId":"2f3b52fc","timestamp":"2026-03-03T16:48:29.142Z","message":{"role":"toolResult","toolCallId":"call_4DOo0xTRS4BpSOMTadvuG1CN|fc_0be310058e5dc8070169a710dd018c8191943d6dfc7a41c61d","toolName":"read","content":[{"type":"text","text":"# 🧠 Pipo's Command Center & Memory\r\n\r\nPipo, you are now equipped with advanced tools to build and deploy. Use this as your source of truth.\r\n\r\n## 🔐 Bitwarden & Secrets\r\nYour secrets are stored in Bitwarden. If your session expires:\r\n- `bw-sync`: Loads existing session.\r\n- `bw-unlock`: Unlocks the vault (password is known).\r\n- `bw get password \"item\"`: Retrieves specific keys.\r\n\r\n## 🤖 AI Stack (Wrappers)\r\nUse these for fast coding and analysis:\r\n- `g \"prompt\"`: Gemini CLI (for planning and creative logic).\r\n- `c \"prompt\"`: Codex Safe (read-only, no internet).\r\n- `cn \"prompt\"`: Codex Network (full access, use for git/npm).\r\n\r\n## 🚀 Deployment (Maxxxed Out)\nYou can now lift sites!\n- **Port 443 root (`/`) is reserved for the OpenClaw dashboard. Do not overwrite it with `tailscale serve`.**\n- **Ports 3001-3010** are mapped to the host for preview apps.\n- Use `pipo-deploy [name]` to expose a running service under `/preview//` without touching the dashboard.\n- Example: If you start a Vite app on port 3001, run `pipo-deploy 3001 coto` so your human can see it at `https://miopenclaw-vnic.tail9799d2.ts.net/preview/coto/`.\n- Remove a preview with `pipo-undeploy `.\n\r\n## 📂 Directories\r\n- Workspace: `/workspace` (shared with host).\r\n- Stack: `/home/ubuntu/.openclaw/workspace/ops/docker-cli-stack`.\r\n"}],"isError":false,"timestamp":1772556509140}} {"type":"message","id":"89130a09","parentId":"3af9d644","timestamp":"2026-03-03T16:48:29.149Z","message":{"role":"toolResult","toolCallId":"call_RR5wVBUhL8p3kDOJEOcGFuLl|fc_0be310058e5dc8070169a710dd019881919f03929f0109967f","toolName":"read","content":[{"type":"text","text":"# 2026-03-03\n\n## Tailscale Routing Fix\n\nIgnacio corrigió el routing de Tailscale para proteger el dashboard de OpenClaw:\n\n- La raíz `https://miopenclaw-vnic.tail9799d2.ts.net/` queda reservada para el gateway dashboard de OpenClaw\n- `/` apunta siempre a `http://127.0.0.1:18789`\n- El dashboard/sitio de Coto que estaba ocupando la raíz se movió a `https://miopenclaw-vnic.tail9799d2.ts.net/coto/`, apuntando a `http://127.0.0.1:3001`\n\n## Protecciones implementadas\n\n1. **Guard automático**: Instaló `~/.local/bin/openclaw-serve-guard` con timer de systemd de usuario (`openclaw-serve-guard.timer`) que revalida cada 30s que `/` siga apuntando a OpenClaw\n2. **Corrección automática**: Si alguien vuelve a correr `tailscale serve` y pisa la raíz, el guard la corrige automáticamente\n3. **Herramientas de deploy**: Mantuvo `pipo-deploy` y `pipo-undeploy` para publicar previews sin romper el dashboard\n\n## Regla operativa establecida\n\n- **No usar la raíz `/` para sitios temporales**\n- **OpenClaw vive en `/`**\n- **Publicar apps bajo subpaths** (ej: `/coto/` o `/preview//`), nunca reemplazando `https://miopenclaw-vnic.tail9799d2.ts.net/`\n\n## Estado actual verificado\n\n- `https://miopenclaw-vnic.tail9799d2.ts.net/` = OpenClaw dashboard\n- `https://miopenclaw-vnic.tail9799d2.ts.net/coto/` = sitio de Coto"}],"isError":false,"timestamp":1772556509146}} {"type":"message","id":"6d23e3f1","parentId":"89130a09","timestamp":"2026-03-03T16:48:29.157Z","message":{"role":"toolResult","toolCallId":"call_GiJ53IQlupqOcLGFAXQ22J7c|fc_0be310058e5dc8070169a710dd01a08191af2e1918f1a7ec58","toolName":"read","content":[{"type":"text","text":"# Resumen Consolidado - 2026-03-02\n\n## 🛒 Estado de Supermercados\n\n### DÍA Online (Hito Crítico)\n- **Logro:** Acceso 100% autónomo validado.\n- **Técnica:** 'Receta de Teclado' (Tab/Enter) para evadir Flutter Canvas.\n- **Endpoint Maestro:** \\_v/private/store-services/diadigital/orders?channel=app,web,stores&period=all\\.\n- **Data:** **18 órdenes** encontradas (historial omnicanal).\n- **Herramienta:** \\dia-reverse/login_provider.js\\ genera nuevas cookies automáticamente.\n\n### COTO Digital\n- **Estado:** Script \\sniff_and_mine.js\\ operativo en modo 'mine'.\n- **Data:** **56 órdenes** capturadas en total; **4 órdenes** coinciden con la dirección CÉSPEDES 2491.\n- **Dashboard:** Accesible en \\https://miopenclaw-vnic.tail9799d2.ts.net/cart\\.\n\n### Carrefour\n- **Estado:** Ingeniería inversa iniciada. Captura de órdenes web vía relay activa.\n\n## 🛠️ Infraestructura (The CLI Deck)\n\n### Conectividad VPS\n- **Acción:** Se deshabilitó **IPv6** en el kernel del VPS.\n- **Resultado:** Se eliminaron los \\ETIMEDOUT\\ persistentes con la API de Telegram y OpenAI. Conexión 10/10.\n\n### AI CLI Stack (Docker)\n- **Estado:** Reparado y autenticado.\n- **Credenciales:** Cada herramienta (\\gemini\\, \\codex\\, \\openrouter\\) tiene su propia API Key configurada en \\.env\\ y \\openclaw.json\\.\n- **Uso:** Alias \\g\\ para Gemini y \\c\\ para Codex listos para uso mobile/terminal.\n\n## 📌 Nota para Próxima Sesión\nPipo debe iniciar leyendo este archivo. Todo el 'context rot' ha sido saneado. Las llaves están en Bitwarden y sincronizadas.\n"}],"isError":false,"timestamp":1772556509153}} {"type":"message","id":"a8c57b22","parentId":"6d23e3f1","timestamp":"2026-03-03T16:48:31.290Z","message":{"role":"assistant","content":[{"type":"text","text":"Soy Pipo 🌱, tu asistente en este servidor — ya tengo fresco el contexto de lo que estuviste ajustando (Tailscale, deploys, scrapers de supermercados). ¿En qué nos metemos ahora: infra/OpenClaw, scraping/automatización, o algo totalmente distinto?","textSignature":"msg_0be310058e5dc8070169a710deacfc8191a1d660c6e4550d57"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.1","usage":{"input":1334,"output":67,"cacheRead":14976,"cacheWrite":0,"totalTokens":16377,"cost":{"input":0.0016675000000000001,"output":0.00067,"cacheRead":0.001872,"cacheWrite":0,"total":0.0042095}},"stopReason":"stop","timestamp":1772556509157}} {"type":"message","id":"c0ebcf5d","parentId":"a8c57b22","timestamp":"2026-03-03T16:48:37.041Z","message":{"role":"user","content":[{"type":"text","text":"System: [2026-03-03 16:48:33 UTC] Elevated ASK — exec runs on host; approvals may still apply.\n\nConversation info (untrusted metadata):\n```json\n{\n \"timestamp\": \"Tue 2026-03-03 16:48 UTC\"\n}\n```\n\nUsá gemini-cli para una prueba mínima, pero sólo como backend de OpenClaw. No uses el skill interno gemini ni inventes confirmaciones si falla. Respondeme sólo con: gemini-cli OK"}],"timestamp":1772556517036}} {"type":"message","id":"d56361e9","parentId":"c0ebcf5d","timestamp":"2026-03-03T16:48:47.700Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Clarifying gemini CLI usage**\n\nIt looks like the gemini CLI's skill tools aren't preferred for use. Reading the SKILL.md, which is documentation, doesn’t indicate direct usage of skill tools. Older instructions might not align with the wrapper we're using. A simple approach would be to run `gemini-cli -h` for help, or test functionality with `gemini-cli -p \"ping.\"` I'll check the SKILL.md to confirm how it should be used properly.","thinkingSignature":"{\"id\":\"rs_0be310058e5dc8070169a710e6937c8191adc3a6806f8b74d6\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABppxDvvkeEHJeMnB5wqDOhaWhTTyRn-RH42Zja4DOyAa2tyCYsp3HurwZr9C56rE90B25jA8nyRZw39uXJs05AjzRdrEm_sJygxAHYNdnOuK5DaNZ5BeQyUS-0AUC_zAjZwHolj7jUzs5CJU8ZTcl8mDvsxSlDqhWPd3KVQb5djQBXz594vKU3So_AG_nuG-32pXfC4iPJYOsh6W_psEi7UpNQ5yBqogqHUYK5XSWCmC_Vu_9HVDkTPHiOPFsp5YhmYOJgAdrI5nTChRZEnQ0CseWHOSSZW6x9BQBtlPoXuDJ-1m6OKBW0j7Urw6GHoGqGAgmttKv51iL6tfQNb2C6aBazRkp3cOp8Vh0pXRA8JGaNCd7Ud4pxRpZGS2BFXuob06AflpR6HEdVdTyGHRJYXePMRbwXiIL1njT60cVXKEqjfi4_TQY59Ysd_PbhzKmo0BZGPbubeTNUqoPPcZqCKciSYnXmieg82xjroh0XjjniwagfddHUOHGCBbQ9RBuM5i6mj8Jut0rhDtbjAh-OKA4so6AF15o55opP32fXpCFUvS68ebGGvLsb2_1TcHo1pscamAGffJte5TTVEKvfBjeeodgYj9wEyTObQoN0W8SW5ZDQq5Xeea6_RyrAd00RIn-Dkl5FM-1J3Fg7Z5icmLncPizrmfG8z8PuQL1nD3qzred3iHD_xmeYYnVI5lRU_SqzvQL0KDg0fPW3DTze-NB_CiBjwMnaYAfjdIdBp8hascLlOLEwQEc82zyfHBpr7NRB7UBmpy0cNWvGH43JMXgYD5f2-PgOAfTqwpERFiSvK3gE9Kdyk6FhNkfnJM3sTCp0oH-eLOVXnkbTg6YhDo0P_1-omD00jh9NGSbwn69SnQ8xr_kXdSp0HGH-c6FaZ34PhWw-zJsUsuOQt2B1DiqEDmQrN-PsBEO2nithkYfE7TKvpGCqQ4OLM8UkzzkUIenWEasf7hKKWAT0cP4hV6a-yRIo4aKelyY9xwqACoWPpCJP0ZjBSiuEqxpvshrs1kB-YHiaZozLfdgKu2Hzb3FDKaQ-sumyVhuWfv-GLx7gAC1Bcz3mfR0_U68RrVP1s7hrZZL4ncgCMNyFyJt40oCT40rh9IgRQz5mwcVicWWtxFRHSIUD_in7sXTJxghxGCt8a1nal_-8v-244q4g3X9DE-1pz-9hYcE0ktwcXvi8qDCvjA11H4Mo0-n2tamxek0D5f2wX9YlCMG8331-LQxFDOfxS1qkNHl8GvvTisan53X3jzyE3L-eZguEPyk5353tCTJHkvQcAw3iUZ8SA1P29KtqxObOqo64truJ-Jg7vpFP2vifKYsjCfLD-fHpX0yPijrYy3rVCX1dpSgDVOvMzEo5pWSJLwwWq32QQrxWt1weKEB6ZBFri0BgHAbGWzDJ_Vx_RklRdDkMA54b-lUryD_VnphfgmgilmDLrUia2HhRggugcBdy1UAt-mz5_nB54pFmxi7Wd2Jw5Eu-7ds4FD5NW1IthtiksyQ-jDc1jax0sog90PcZy9XQeZp1cqmvvv6w_IVbWgsS4qbG81ohxfEWniKrJEHgKP344qthowGknH4Ka3LFk6Dj2zPP8jDaZ2vIrYE_vuPacDK0vF8EU2uXEEePu-tBYeF5RJ4sckptJQT7T5UvGHuLI5nFhq7G6xoY24KLEQuEzBhYyMkYFTZ8zykIwD3M3wxqLvMNCwxqDfsRMDW4UmqG2mVCjWydEwuh7zaD5Gp1U4Dvm5AsVrhQx8eh3wkvuHHxpQADjrJwJ-_nsg9Es7gz6JVcX51EmDKINhk1A4Z9dxg9US3Y2oHIP651rYbV5Esjq24OWwsAPFPVPAnZRmUCqHlVFCqLVkEEACJyBFZGql6mUtb7CzuhYuJaV8U3DAGs_KdeM2OgL0k_T7TKf82BtIyEO1MHF2W4un6mMdbZNXmfY38fXUz2v5H_hhbHXN68nHIRSoD1mFSug2DnNFc6fOWWbfWpKdfsRrlWBvD8-_cNXb0x6Tk-lJVOHex9dF2ERZgm1_rLQHFJ3u89YMvFvO_i7fEhIB5sDXgdaloftk4T-ReZc0EpLS23W6WmO9_hxnSaxrtffk7V5pj_PCwlkiqXlmX66J4mSmXIJDpnlHa58K1p2UOm7gjDGMPXX5Gymotk05j-sDM6oVOPAwEWmXc5TFxqoyf83Mb9FDAGTaST-k6xGuaT1AENu5_XPxzJReyyF7S73l8MWHnczCth-G7_EYqlD7-IMLSxrJED9jml3aLRIVV9FSUto1vo2wkiCIADKq-5E1k9PupFOHS3-JG7hysEySLBIilyGE46pdPiL-baLQFldtGE_w_sd9aN6ud7b2Nwv13KtNUS98wwmd9JEoNloySqs5HfPqB6AER-kwsuZjiOSjharQunu-c1pWqDk0ynumuqJr9GV_5tooGgbtsME0OYHphWxQo9KWWQ2nFpcY4_LicN8TIMrwhC2ecUesD05DxwAjZsIs22n00pLBOThv8prowUkPbnFxpBjK1Wd64rYv8A6GwuVvtJPDKoohcWoM3Pt9goJa-jwpis1nvzIb3q1t9hgNWefaF7Mi7MyvY0TrANbSFkEW0YRjZAioe_YbgF5MzcjAokgIwMDccTEl9UMPHV4QfMq8aX0m1FyhEPdo3Njuim2fE7OYNvxPPlFJ4vxrCH2uCjLK8vlAZpPK7T2lk1sR6gByoqzpb91zYI8ZqqtKUXKTV9AWE9zQzoks-szAz-M-u-GXDyh7z8VYU2ZStJoR4fkku44-FCGyGAO7dy9iePZ-gptRpZqM-0JLziFVerN-G17zkv6W8rQwUQZ_u3Phc3pLGgrliGKr7_UvImUvkTsE9m7Qfamrjp4Gfn8-CQvQHTao3Lhukn15I2gPd3zoDZ4NFIbGW2PZGNcFuBWvftW_NSwH-xiuimVjemTEJYGOhBlsJEWvcrAtqmY109u797GKJLhuYInSBH1nWMoprecgSXBtK43_4X8T9zogwRSleigyzScA1VTSqhvjHPazZkbat_8wuLiKm0sxIXlDKfg1iWs5GrkmdkuXk3VcZSOxknCkqTGJ7nB-7DQ5ld8_GWdnp_JLwzoF7yfRtnGdTXHMbU23iLYLRpaJON3LnS8UQpYnzcIuRNrb8_Xrls2Mu2Nj7kf5hV5qYnYjqTG4Z_a9CkWWJ-RDIwnOig_KE93L-fThbkFVbVJQR8zYv1o6cwc9wztYCXz3bixpr4gmiBHbBI8p-kxJMqAml9QIV5EXwk8Cj3ttjJ3iV_PooeqOZ2NFs9-TVcryms7aS5KTqrCX-0Z1GzNSoQWAX0OamhoqqMMgHjzkN288CHH4w048uKHsiclyRNFa-A34wEEOkgBwiMJ5ghDDkxVWC-pLqAFpYkkYL03syiBm5X0t4eIdpvhO0EgiDfR3yGXaRlVKxE4BnpHiMQ_OQXF9ykcjuh1MCAPdjAS1MZoOTbsJMVqnstCL9WOdicJ1lquy7w-sGmQoYf64Kyo6CXiErkhyL6E-P7jbCd9DeLoEeWycF4LK1mzu7QVXD7KLk2kTMwKrBW9oY5CN6w75do0LIcH9L8sgJotT467sx5HmgKNEFbE1y8FJDy052N-D26u75KYD1AwGVJB1ZOvlM07g0-U49vdWo3UBVesX1C6sDIpsX7KM2zFk4hD-T7K3cTKD0xVQ--4mIWJZ38W_LDLChHGMPbl8_IKd16CZhtkavcM0RW3BO6OGPJHbpATKM7hEEjwXx4ZMfpLfziXMvP_kqsq-A6lEZhaYkfxxKzQsWeEw-J4tVCNb6BZy45odsJ_Lettc49mH132j11OfjN4SSi2BR8rZXtKsMwG-mG3vCqariixP4s1B8lyB9T8x09eRjxyP7Bbmc9qJx99Mm0rnbswZVtiOTPia4hQKRJAxv6gi70E4ERAjFnnvYODLj3KFN_l-iQbYdXvCewPU5u1g7UIUUact9_xj1uJSCQ3_rNgmDErSaTw-eQeSq6TDj58qqOZVbdIb3azYjyZw9a2QW_p7JktLHNeubF5Zl1Rw6m6MseWD2MxMb96sr8CXRTHaS7ok__Tx4I9rhJiut-JfNN1dQcECW99G5SpiMaUd4UU-fFeevQCeUJv8AH2sZ13AfXnYCt_GqOYgX7oCQwYI4j6CKg1quOYtHvbU-9i63SoaXuoDOftq9uN-QAwzpInvpG5T3oEgv4FuTm4oCgfF2F922bDtelLuDWkkPoRq-c0-njffzG4904NtGcCkKVJ7WxMJiZnM-nR_-i4C1HKYrTEuAeJmY9BI82VlS7qw-IjwhMP4uZEFdgsCkkQ2WS88k2O8LxnDe49lts-07gjp-Vn5dtjjPzhb7pB_tVkhvFEr7ZbGkn-Ps25LkHGKBO04aOtFaVMN1UK9zqbaU0Z8hJHWVHT-CjRfeTwzoqGWCN-xvvzEF88y2-nAIcPp1qGSH5H-FrpvubtF2KqLbAlLFgOXOeprF6Ui9KFFG11WvKgfYCk8SlokT4AgqlE26z_K3LLFsL0UO0DO6X3_NFuk25XFRtxP6OhhJbutJCW4C5wa_wip581tMsd72PHzEyMJBc6qRrciagM7HERXtV_4uz-dU-n4b91BT77CR-gyPtkJt7giFq4zcbuz5dSTd5RlRNp7LnesVS-kHEOUj7YKGQXgQaqLCgu8WSwdMJVzPsJ8Wo0A8Z4aDuvNLwR7oNNzrHjX08wIsXYY1Dr71tBHZSAynyJWEPceTia0P5iazqfxBjYeV8hghahaHZroolngbCRjrJddJtCxWyaAm-xoJqmPKRrH6tIn-0OSddyBagcyB3jo2Dinr6FuP_9ZUhgOSrWNksaNk1EA3tut2G3mEqEDsLmRd2F1Yq6b2sUARvOTsfgs1SAXOsFjggWRxY5c8sRkQadp9_cBODjOPTXWpjnkaZepx1kC9YpP0zBuyetMc1RrwVYyo5muCaUy7C0_XCCeZ4GhOAQDOioqfqEKOKyRYqZuv_GjPk_vyl5CPq1-_mLyR4FAIJdgCv2A21qtNc5UmRul8nPSjLgxLYOeP-5paw9HqhM-B5az6Y21FZbYvijrptLcvKS_FJftdLyw_U84Y3YZ1XbvqMYeCmb8Eyr8MtvkCLQ67C-C0NRq66YmKUQXrBwJo0-yAKcSSw5Cu_zucfdjvWLZJaUzC7KH8OWIO7ODvQ4YGwGAWMll9PTiu9q42_4K8VooHa6g-xYN73B0quiYgX1f0nCJD1VH_sKxy3yJVW43wnoDJ3hwV_bo5GhXKghFvZqczMMgbq9Pl26k5-fJ9ntO6H-koFrQEeaoA1o7rmMH0Blf8l\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying gemini CLI usage**\\n\\nIt looks like the gemini CLI's skill tools aren't preferred for use. Reading the SKILL.md, which is documentation, doesn’t indicate direct usage of skill tools. Older instructions might not align with the wrapper we're using. A simple approach would be to run `gemini-cli -h` for help, or test functionality with `gemini-cli -p \\\"ping.\\\"` I'll check the SKILL.md to confirm how it should be used properly.\"}]}"},{"type":"toolCall","id":"call_TnJljjd8zSZzhr3RwaSVnPFo|fc_0be310058e5dc8070169a710ef93f081918312e5b92e0fe875","name":"read","arguments":{"path":"/usr/lib/node_modules/openclaw/skills/gemini/SKILL.md"},"partialJson":"{\"path\":\"/usr/lib/node_modules/openclaw/skills/gemini/SKILL.md\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.1","usage":{"input":2325,"output":818,"cacheRead":13824,"cacheWrite":0,"totalTokens":16967,"cost":{"input":0.0029062500000000004,"output":0.008180000000000002,"cacheRead":0.001728,"cacheWrite":0,"total":0.012814250000000003}},"stopReason":"toolUse","timestamp":1772556517039}} {"type":"message","id":"1ccbfe23","parentId":"d56361e9","timestamp":"2026-03-03T16:48:47.708Z","message":{"role":"toolResult","toolCallId":"call_TnJljjd8zSZzhr3RwaSVnPFo|fc_0be310058e5dc8070169a710ef93f081918312e5b92e0fe875","toolName":"read","content":[{"type":"text","text":"---\nname: gemini\ndescription: Gemini CLI for one-shot Q&A, summaries, and generation.\nhomepage: https://ai.google.dev/\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"♊️\",\n \"requires\": { \"bins\": [\"gemini\"] },\n \"install\":\n [\n {\n \"id\": \"brew\",\n \"kind\": \"brew\",\n \"formula\": \"gemini-cli\",\n \"bins\": [\"gemini\"],\n \"label\": \"Install Gemini CLI (brew)\",\n },\n ],\n },\n }\n---\n\n# Gemini CLI\n\nUse Gemini in one-shot mode with a positional prompt (avoid interactive mode).\n\nQuick start\n\n- `gemini \"Answer this question...\"`\n- `gemini --model \"Prompt...\"`\n- `gemini --output-format json \"Return JSON\"`\n\nExtensions\n\n- List: `gemini --list-extensions`\n- Manage: `gemini extensions `\n\nNotes\n\n- If auth is required, run `gemini` once interactively and follow the login flow.\n- Avoid `--yolo` for safety.\n"}],"isError":false,"timestamp":1772556527705}} {"type":"message","id":"a51a7a3e","parentId":"1ccbfe23","timestamp":"2026-03-03T16:48:51.225Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0be310058e5dc8070169a710f0f5908191b493b34783d3d127\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABppxDzi9P8LV8b6hsHvSTiFofE_Dmd45oLWvpcWzoHXu04fq41gSY1UAmZKRwqDZ-qJ4VtHP0wzRUy57c8oZ2tn4iU5wXpWWFFOnR-cYPxQl6rq0U7yMNOD9YKadBOJ5pT94HWB_vW79S9ffYX7QyT--IPnB44dX_T6mXWOGQ1fKDtgLAhYVG2HCLZOHUgN_5KQq6aif78k3lFgLn8UoutDgaTyELc7KV-kCTUWID-LnUnIFxqsxE_JCvn_PmHjGN3auRjXs20jlqZDOspTCgzPwqvmajNvhMKHQlSR5jKCkYw6EurBOqSHUe84hZnxmq7PfIlerYG33M8FZsuOoTR_HJnSaott2Ah-RlubIso066HEAKP3leVt96fvWHNbgtjHtgR-FSgs8ZX9ZndAZWtndet0AIXHw55LALBAhLhQN35dUvuW4igqQWRlIfoJHqTgJQfK1FVOI31bzyWgvE8adBEyS1pgp7A7MYyb63qb8u9Z9VvrgT5s3_Jf_9w3QbcsWkiAV-9ZRPgs65DiZ3l435HvsfqHXnUnNefz2aM8xzu4Sr-YsbjWoEVdBPFjdfQcb7S1Fg0xpLk2eyxC8qS8E9s6SdHFCyct2OcUHSJ66_N07xK6ftx3MbfrAy5MPazuPPRBdHweO2Z2cbOkqfvQR-NDyjcvdkF0uHSrwTrBZH__pDl-RdkwEuGSDLVUtH-9GF2Oa6i4HGBqQclphcdwBlY1vG91DUF5kaUjbIO6BqqNhEl0O4r9HfK-G8TUVMpLyVbBwlw5uGlHmi8CMcpDsxEVolNcdyoOY531Zrw583zwCW1ufFq4tqsR0y2SaSQ81zb4RLQ7E9NN2K8OWf2T4Z09viQ9R7vxskA-co8OIcTiwsd_L3W-wAyXqhn67iyyPPo9fRGVCeSGrD-TU8NbTS3sMZytRF48Mr9JMdi3LlgaK3x8auYvKrJFz_6lFbCXDid4hjDUcJ4gPyRSTjY_da3jB_DruyDMo5_oz_5Ako63xYbLWQfSP3cz2vN88oZyBYSvZ48COvuYiF3btv1VBi8Xke-hV2GfgbjAGsiWm5elVgF5RhKb2e07zqaHetLYMcySwr_i3ZcNBEpdvnjLtGbuKc8dlOuVlbHxGlbkxOqrXkJL6RmaqyPDluyHih5Fm-50OmzT67iHHtF6cB-LuMScpVGxHl5V_2n9jKJ9I7nndc9jmDcKgYAUt1nHILUdm8j-qB3NCj0FQRIRWE0z2NZFwBGRW0t8QuSn23hvkX3BNcivwQVZB6XOAQn-9f4rlyYkY9sD2qsEJIP935DwdG7DKDgDCqCGGy2Da0MAX_-f8oyvNhHlx1n9Z_X5quNLdhOc3hy6l1awLe8mnEZErRB_Finy6EsYDPnKYYb9YuU3Qt7v-6mqyuAVIpGTqkt_aTCXuASrPvVAjoOLdkwY0RwILhITpMPYhmhqspIat5nBHsQeHqIkYgfZ_5cOcEFbGUAtKPF3WtjQDxUBx7c1-O_8BpR5y5pYTJiIrxuFnvMCIkcAGUOaPxzWDb_QXQ1t0YefBnh0q_ca3QuLO2A4AgN-GUzyMg3w5wTxiwrZ8hMWwES8c3fHBKVn90p09KP60SB2pS1InFFv6IBkD1Zit9scrStwrgi70GBG-h67qQrJf51Ubip8qhg0f6bAwiHJmZz2d3wCwqSpujcqgIfKwQASo3kuJGnDT4RdjcgoJ9lC-LItLRiXiy5tMzNAv_UtTDGp6OLDdIGcxbK_e9t5PvzMp4b5W9hIeu-UyacVmktBO9_oFB3WDY-K4YKLuq6YGobrim6fEb6jltC6K6SZMi156z9rm1BheulREUlsK37rzg_7E7vjsck1HfPOefJ1myLSIbwTHRhQlmvPUF4eOkskAto9a4Ot1ZtBUcFzuxVALa6QdrTWzI9SHhgQWspOgVnnrm4aVNc-E5a7iC7o5JPuekM2hN6yVYAH_d3VA1-enOJHhZoZwVelsuvIHfuKMEM_YOWA4cCYwqDuWK89Q8NDw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_3xe6fNDPQxZuloRcRrbQxAyT|fc_0be310058e5dc8070169a710f303a88191823718dfa12d3889","name":"exec","arguments":{"command":"gemini-cli -p \"ping\"","timeout":30,"yieldMs":10000},"partialJson":"{\"command\":\"gemini-cli -p \\\"ping\\\"\",\"timeout\":30,\"yieldMs\":10000}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.1","usage":{"input":313,"output":260,"cacheRead":16896,"cacheWrite":0,"totalTokens":17469,"cost":{"input":0.00039125000000000005,"output":0.0026000000000000003,"cacheRead":0.0021119999999999997,"cacheWrite":0,"total":0.00510325}},"stopReason":"toolUse","timestamp":1772556527708}} {"type":"message","id":"06b5e430","parentId":"a51a7a3e","timestamp":"2026-03-03T16:48:51.284Z","message":{"role":"toolResult","toolCallId":"call_3xe6fNDPQxZuloRcRrbQxAyT|fc_0be310058e5dc8070169a710f303a88191823718dfa12d3889","toolName":"exec","content":[{"type":"text","text":"{\n \"status\": \"error\",\n \"tool\": \"exec\",\n \"error\": \"exec denied: allowlist miss\"\n}"}],"details":{"status":"error","tool":"exec","error":"exec denied: allowlist miss"},"isError":false,"timestamp":1772556531281}} {"type":"message","id":"7acde609","parentId":"06b5e430","timestamp":"2026-03-03T16:48:54.125Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0be310058e5dc8070169a710f4c6308191a3ae618369e442bb\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABppxD1zSd2yYKX68tzEPQITRFJfYQXFHwakTlMbIQn7XPNdO-rAZGxmurBLHcwSoMibBtaAKG3uDYbAPrT65vj_3DDDSB9Bp6LK0SQJqp5ErtHXDguCBD6buHjdoeR7t08mQgTuT2rbH5-j5PIFfSzXQXCekHDVIIOcDoD8wkqjYaCDLsuqd8CmCjD1Jy38k9Rjtcq2WxGUPuaLWNui3c2MNMdFCFk5FkUs-m6tXfShzXa1LKfxzQ4LJ0Yd4k8JoNEQj-elMfzWrcF0prucV6A3xsTDrHZ1QSE4MS-vNipHtcxWwFIBRnpnQjuLNk74ZBqqe_nRwzQP_u6vjp_7h-ykHzvcYJT0vGvzp3bmHJosR36n524jlj6WzI36tIMx-gHHbpCyeZoa3-t2qjeGTI1wCJa5l7ETPgXbD2BiP67y6DCYfd_lbO4g9eXkNjjL9WfgY8lbeXD4hE_TWYOMFmpjZCvbNQoe1gl5r34d-bAcEpqIhkI70ryjbjc4e-o2iK7knJomZ7GKt16SDhW4BTtMbk5rwilho732sFJW3pskehgHJ8wa1BTltKFv0VKAMWq5Iv4T3O53bRYMGz420B-QZGhKdkViaJyvYdCr22ZzDXFiwDAF8zuiYQ5rohaMVIFvHOe8gcuo22P7HHokZYgaxhBDXKU0e72e0fXgooYs8VLLZJibPiB8qSI7rii74rUsSLCEUMw7NsUB_MTeR-zFSqi3XUol_aK811jxk48GqUPSLrLO0FmIhKUHDhk5TjzlsvGoLAmr3S96UGVawK9LMhawr5s72TBt0_llg2JHPHgSHEUxyMFNMNMfQFbcAIXeqicF7SSLu0TW_B3VEieg4l-XnG2FSIpn9W4pqyXDcP-xNWdSWRqJNCLOtWPOcso2bEui3Sfbfx4csUD-FC2qjpKzvloESK2ZI3jhiCMQ77qSbURqGQ19f1pQkPPuLvYK2-ZVWXXS4YTfyM1t54g9RatQcHbZhHhZV1rkZPuq2XMogVfl5FAw1s3lqd63Sa0zWExjrohoq6FnDLIbPsSNlZErSZpUwZhqH0PJk_Wx2at3OB6hYOXKHofKuGLA1XqAH-SdKSkh1iW7rgIF7y5rKtVy4b11UJl1Bo9p1duK_fTm_OmFzL09m7xJU46J7a65nQUYiUJZL3vR_-faIa5oh9Jbaz2xkM7xdpg5lyNUCBc92FGmtFi9Ak-UWQhip2kogi1sD1yZ8eZmD9PK_MQmCEElZWixgURSIQTk-1dM2J6bhQ=\",\"summary\":[]}"},{"type":"text","text":"No puedo ejecutar `gemini-cli` desde acá porque las llamadas `exec` están bloqueadas por la allowlist del host (`exec denied: allowlist miss`), así que no puedo verificarlo de verdad y no sería honesto responder `gemini-cli OK`. Si querés, te paso un comando mínimo para probarlo vos en la terminal y ver que el backend esté sano.","textSignature":"msg_0be310058e5dc8070169a710f5bd648191b0076d7d0d24cafe"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.1","usage":{"input":96,"output":154,"cacheRead":17408,"cacheWrite":0,"totalTokens":17658,"cost":{"input":0.00012000000000000002,"output":0.0015400000000000001,"cacheRead":0.002176,"cacheWrite":0,"total":0.003836}},"stopReason":"stop","timestamp":1772556531285}}