{"type":"session","version":3,"id":"25911b50-15de-4cd4-810f-4cd5c7e6e6e7","timestamp":"2026-03-16T19:01:30.800Z","cwd":"/home/ubuntu"}
{"type":"message","id":"2210e441","parentId":null,"timestamp":"2026-03-16T19:01:30.801Z","message":{"role":"assistant","content":[{"type":"text","text":"✅ New session started · model: openai-codex/gpt-5.4"}],"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":1773687690801}}
{"type":"thinking_level_change","id":"21798cad","parentId":"2210e441","timestamp":"2026-03-16T19:01:30.898Z","thinkingLevel":"high"}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1773687690899,"provider":"openai-codex","modelApi":"openai-codex-responses","modelId":"gpt-5.4"},"id":"33da06d7","parentId":"21798cad","timestamp":"2026-03-16T19:01:30.899Z"}
{"type":"message","id":"5f2a437d","parentId":"33da06d7","timestamp":"2026-03-16T19:01:30.944Z","message":{"role":"user","content":[{"type":"text","text":"A new session was started via /new or /reset. Run your Session Startup sequence - 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.\nCurrent time: Monday, March 16th, 2026 — 7:01 PM (UTC) / 2026-03-16 19:01 UTC"}],"timestamp":1773687690934}}
{"type":"message","id":"07f1e32a","parentId":"5f2a437d","timestamp":"2026-03-16T19:01:44.264Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating user interaction**\n\nI need to ensure I respect that if the runtime model differs from the default model mentioned in the system prompt, I should note the default model. But since both the runtime and the default model are the same, I won’t mention it. I’ll greet the user in the configured persona, asking what they would like to do in 1-3 sentences. I’m also considering whether a memory search is necessary for earlier tasks, but I’ll hold off for now. Let’s proceed with the parallel reading of known files.","thinkingSignature":"{\"id\":\"rs_03c2525c4349a5230169b8538c470c819496eecabda916807f\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABpuFOX_RmYj5YkITWqm0lpPGwcN0X0YmMAlIMGppNW0J7XArNYvUqhoXt3V9fc7DQtGulGhfNxy4PpmPc_sky6poPuIQPXTbxYb7RkmGDqBeH3CdjjvF0hpAocsEK0TrI6XKsrfHiyuaNR_AAB3KiiClBalG8ZU_CIKM80-ah7RDV9hJ5jNb0E0Mly65VKxSFiajoYJJPMn199s5iw7UgkYMuylHRj3qG7AmuVvqhQcp6F5zwz3iXA_j_LmWEkPQ8Lqk9_iIRgeaxikhyGgDOtVlDQtfDuS2pRRgCL7_EnV_xaTUdC6GiuF9SwuQ4YE017fY3o4CdODf2ZRyA8QXMHQNfvOsTgq3I4RlQqd_GvpLLZj3121IfWgJHbfG3nuL1ImDO5ZQK7fGwQ0Yn0d5GkIIuuPWFbBo8xMbeiRQxznPHglZsCjrLCGYX3f7ZVCbJwKdSiYXAdePxJ_M0eTJ6G7GjZh-i0JdeKK-rwcKkkkpOrnRjIENWTan-SxhCtReYNcuqjMREl4iLAVdC5cxBWvAVlcI-AfOdh6902r51W_-gyQQx4zLx1uctnPxMVv54cJ6vbqgfm7JXJqzaMwEGjHstIQMLe9vMb0xooxbyXb6Vlg3HLXe2IKOvKjr7NlygP-HQflml3jD5H05WBx5h4tzULL14zVya7ZkNF_2eurmb6OlOoppfqJOlEQkZKPnsAxpiHwAUlF9Vkm9IY5y_6vdz7baViWodbvF2ErJe8-yR-kWbWzi2KZO19TcSp9pGH4KkMX2OnWVZwrBGGe0A5MLHZ_QdVft9WmAVQ4p4R51eikHytsHTYBfpxmlHkaGdk-L6utGmTTqec7XwkEG_sYbz_0RYfGrz9uofxynb_7t6Rd7g3Nax2fsvamOyhChwI3eXzbA7T2VLYf1wkpKpeJ4NMx7Oqc6TeG9FUgeIaMmURLzIw-MeeawStncn7TFSfuEjA8FLaHwls-mBEpHXKiLFhX67dnrvByyI3gf382AhcXbQ8bgD_uVGgLEDnxq5QLRuaLZKxWode35t3Kp6IOo10exPB1YkAr57bPjMFw91cQibW6_C2ir6VKPMAbZvbfwhaoVsXiYyhW6hsO_4RzgbISO46p-UU8lJxzxwuEpOA6OVC2mMuYtsGB_Cen4iggeaKogHEOhAMkrvCp5eHmKf3IPcqzqbxxT8_3vSJOOk_e4DTII0IvFLc7m8z6XW08F4hkMbD75OkDuaEDoqbFWgr-PjkioMZNOdpV5keOD9hKHGXRIcuyQJdoYEauAu7YfjfLg2APOSCb4xJv32MifQKGWHyLg8r37cwi5nEMjrFgCklAroaoquSx54pa9LdxjrmzYjHH7_W8wwCRpVwiDiKA7Wsoq-7jzOU7JN3N-vaHRtkVrDkDga_S-KOxhF4pxRI1ynYIqd-EnOUjk_3dDfSXPr74s-LSEXsC15gjbxd1qZCP9yhN6rSBcT6CN_MLae2m-tOxm6KfszQ3ybRZlzV4y75RNUeGqJ8dLh7zT-ikGA73Pvxu7jPMTfz_EKit42yh2RgVLnIw6nK8B71rptx1pUDWSoXJDWmZGDUeHofPyQwpuIbpVpNlWv5SUVuee34l9KVguqGtGKXmfAlyPLjREIMIEdEwOVeqm44tQvlKhuF2m9hvT5ugDcgVEQBt_2wAUyNa25n0icuyzYocoQ34sgQUYq7nVobBJEC8r-8hVTnKHAdsXUyxnRkvp5UclvMGDayQesyDOTi0P78f2HVERPYVIuAl16I5h_0w0RIc_2VwHqRHw7u0yD3m-2GRCvtZsHgN7KeF67UBWcI2vMR3WdURT-7r5IacpRZe8bBOvO2e2LdU4gGkvJvJY--yRHaMWWo3wjtJEifawf-q4lsq9ryXkDuyNJ9lz9cCmS-naM4u-FtLF_LS1vgLd11oH2l6JSyms-TRSnVK4XDqYerbVxxLZPoco-Mo3RRxdpE-j9phm9_EkZwImsIcfxD5HuXDjvSqOVD9QZaNfOERuNbgm_0fMlrtnaOgpMA7uyxycJK523COCxbQgjL6-YaVz84N03CXhMyb4jZERERKT8IRvcbrTBimI8-Qtw5YIMa_wQUrXTlH1eyhNcIsUOlnE99o4RYykcEUHFpliremV2TjZ4UB1Yp4crbJJ3HRQ1VN3EgmAdL4td02wnR8r6mkUPHzJhwQS33KlqWuNfaUZ5MVqa7aQD8ILnI3L-XLBp3vbUnhtMmyDQDs4sxXn6lHqrNFE0UNkOkZTkQ2MMBd9SdjjekpWT5mP4v0Tqr-L-Eq52iquABjBZkNyrdLQke37S0y8C8r0KPY2pC5yVP7-l_Y0DULTBxQDQbcrfR47v1GGwRVfbCg81LGAcm8xYLM6GlFDKrHwbzkqw0uJWRyeEMBAoUlkadet1ZS5fz8_QFkQZyP9ylXSq6hwSU1gaMOHm27OXJHg-tWqemEEGQFY0hM_WFvKyDvuRI5HVvMbktnzL-qq7zHPRfRi-FAuq1vcUQS5k16IlEWvkpT-B4CElYS2C1rRazL582lhVp_wZLMpmGrWIRav3BWKhbi-KciRyaEYhSWuuiLEtRtv8lAwYjI9nqu-Pgt_UzCyNpb5IcTAtIdj2EdI4QrShPnfZuTQpUwjcpdbEFIaD3zYRevF8t4M6rL-Xcbyuq2RVHmVSeOnGm9B2rvnV-5yr3x77Cd0HjvRvsvAVxlssLqvbimAXgqCjVPycVrS6fzwfjaMbjefu_-BIAe7nZ4E43rgAl1kEn9RtbCq0WSiV3FK2trdIPcw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating user interaction**\\n\\nI need to ensure I respect that if the runtime model differs from the default model mentioned in the system prompt, I should note the default model. But since both the runtime and the default model are the same, I won’t mention it. I’ll greet the user in the configured persona, asking what they would like to do in 1-3 sentences. I’m also considering whether a memory search is necessary for earlier tasks, but I’ll hold off for now. Let’s proceed with the parallel reading of known files.\"}]}"},{"type":"toolCall","id":"call_9PMEwDoxKVx0ndFKGJ3JGPhS|fc_03c2525c4349a5230169b85397f91881949cd014a7478d18a0","name":"read","arguments":{"file_path":"/home/ubuntu/.openclaw/workspace/SOUL.md"},"partialJson":"{\"file_path\":\"/home/ubuntu/.openclaw/workspace/SOUL.md\"}"},{"type":"toolCall","id":"call_PMtqkVKB2bpvEd0AMIkVJYbB|fc_03c2525c4349a5230169b85397f9248194915fdf18c6798100","name":"read","arguments":{"file_path":"/home/ubuntu/.openclaw/workspace/USER.md"},"partialJson":"{\"file_path\":\"/home/ubuntu/.openclaw/workspace/USER.md\"}"},{"type":"toolCall","id":"call_bFTiFq3i8oaCwd3MdHvAUJdq|fc_03c2525c4349a5230169b85397f930819493d4a2955f24e326","name":"read","arguments":{"file_path":"/home/ubuntu/.openclaw/workspace/memory/2026-03-16.md"},"partialJson":"{\"file_path\":\"/home/ubuntu/.openclaw/workspace/memory/2026-03-16.md\"}"},{"type":"toolCall","id":"call_8Ef7AXWi5nPLkZDhevrA72Ni|fc_03c2525c4349a5230169b85397f9348194a58f889e7e417753","name":"read","arguments":{"file_path":"/home/ubuntu/.openclaw/workspace/memory/2026-03-15.md"},"partialJson":"{\"file_path\":\"/home/ubuntu/.openclaw/workspace/memory/2026-03-15.md\"}"},{"type":"toolCall","id":"call_UQ6Q3MNv7yiLy8eHfqQcnYmE|fc_03c2525c4349a5230169b85397f93c8194ba5fb1780e232048","name":"read","arguments":{"file_path":"/home/ubuntu/.openclaw/workspace/MEMORIES.md"},"partialJson":"{\"file_path\":\"/home/ubuntu/.openclaw/workspace/MEMORIES.md\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":12117,"output":488,"cacheRead":7680,"cacheWrite":0,"totalTokens":20285,"cost":{"input":0.030292500000000003,"output":0.00732,"cacheRead":0.0019199999999999998,"cacheWrite":0,"total":0.039532500000000005}},"stopReason":"toolUse","timestamp":1773687690943}}
{"type":"message","id":"d4981b7f","parentId":"07f1e32a","timestamp":"2026-03-16T19:01:44.397Z","message":{"role":"toolResult","toolCallId":"call_9PMEwDoxKVx0ndFKGJ3JGPhS|fc_03c2525c4349a5230169b85397f91881949cd014a7478d18a0","toolName":"read","content":[{"type":"text","text":"# 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"}],"isError":false,"timestamp":1773687704383}}
{"type":"message","id":"00bdc5bb","parentId":"d4981b7f","timestamp":"2026-03-16T19:01:44.413Z","message":{"role":"toolResult","toolCallId":"call_PMtqkVKB2bpvEd0AMIkVJYbB|fc_03c2525c4349a5230169b85397f9248194915fdf18c6798100","toolName":"read","content":[{"type":"text","text":"# USER.md - About Your Human\n\n_Learn about the person you're helping. Update this as you go._\n\n- **Name:** Ignacio (Igna, also goes by Chicho)\n- **What to call them:** Igna or Chicho\n- **Pronouns:** _(not specified)_\n- **Timezone:** UTC-3 (Buenos Aires, Argentina)\n- **Notes:**\n  - No usa dispositivos Apple\n  - Prefiere YouTube Music (no Spotify)\n  - Por ahora no ve necesario instalar skill de YouTube Music\n  - Prefiere Asana sobre Trello\n  - Prefiere respuestas en texto por defecto (para ahorrar tokens de ElevenLabs)\n  - Audio solo cuando él lo pida explícitamente\n  - Stack actual: Pipo en gpt-5.3-codex (maxxxed), Codex como worker principal, Gemini para tareas livianas\n  - Tiene Tailscale en su computadora personal — se puede usar para acceso cross-device\n  - Gmail: ignaciolagosruiz@gmail.com (gog configurado, read-only)\n  - No quiere que Pipo interactúe con otras personas vía WhatsApp/mensajería (por ahora)\n  - Vive en Argentina — scraping de sitios locales puede necesitar exit node argentino (Pixel 6a via Tailscale)\n\n## Context\n\n_(What do they care about? What projects are they working on? What annoys them? What makes them laugh? Build this over time.)_\n\n---\n\nThe more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n"}],"isError":false,"timestamp":1773687704398}}
{"type":"message","id":"097c5c19","parentId":"00bdc5bb","timestamp":"2026-03-16T19:01:44.428Z","message":{"role":"toolResult","toolCallId":"call_bFTiFq3i8oaCwd3MdHvAUJdq|fc_03c2525c4349a5230169b85397f930819493d4a2955f24e326","toolName":"read","content":[{"type":"text","text":"## OpenClaw hardening + audit\n- Applied reversible OpenClaw hardening changes:\n  - `tools.exec.security = allowlist`\n  - `tools.exec.ask = on-miss`\n  - `plugins.entries.acpx.config.permissionMode = approve-reads`\n  - `plugins.entries.acpx.config.expectedVersion = 0.1.15`\n  - pinned `plugins.installs.clawrouter.spec` to `@blockrun/clawrouter@0.12.43`\n- Cleaned local `asana` skill so it no longer reads OAuth client credentials from environment variables; it now uses `~/.clawdbot/asana/credentials.json` only.\n- OpenClaw restarted cleanly after config patch; Telegram stayed up.\n- Deep security audit result after changes: **0 critical, 5 warnings, 2 info**.\n  - Remaining warnings:\n    - Claude/Claude Opus CLI workers are below recommended model tiers.\n    - Extension plugin tools are still reachable under permissive tool policy for several agents.\n    - `clawrouter` plugin flagged by heuristic scanner for possible exfiltration patterns.\n    - `asana` skill still flagged heuristically because it reads local token files and talks to the Asana API.\n    - deep gateway probe still warns: missing scope `operator.read`.\n  - Info:\n    - Tailscale Serve exposure is enabled for the gateway on the tailnet.\n    - attack surface summary is otherwise in personal-assistant / trusted-operator mode.\n- Good operational summary to remember: no active critical findings remain; next optional pass would be tightening agent tool policies, disabling/reviewing `clawrouter`, disabling `asana` if unused, or investigating `operator.read` for the deep probe.\n"}],"isError":false,"timestamp":1773687704413}}
{"type":"message","id":"a277034b","parentId":"097c5c19","timestamp":"2026-03-16T19:01:44.444Z","message":{"role":"toolResult","toolCallId":"call_8Ef7AXWi5nPLkZDhevrA72Ni|fc_03c2525c4349a5230169b85397f9348194a58f889e7e417753","toolName":"read","content":[{"type":"text","text":"{\n  \"status\": \"error\",\n  \"tool\": \"read\",\n  \"error\": \"ENOENT: no such file or directory, access '/home/ubuntu/.openclaw/workspace/memory/2026-03-15.md'\"\n}"}],"details":{"status":"error","tool":"read","error":"ENOENT: no such file or directory, access '/home/ubuntu/.openclaw/workspace/memory/2026-03-15.md'"},"isError":false,"timestamp":1773687704428}}
{"type":"message","id":"48b17fc2","parentId":"a277034b","timestamp":"2026-03-16T19:01:44.459Z","message":{"role":"toolResult","toolCallId":"call_UQ6Q3MNv7yiLy8eHfqQcnYmE|fc_03c2525c4349a5230169b85397f93c8194ba5fb1780e232048","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 — Sub-agents & Routing Strategy\r\n\r\n### Available agents\r\n| Agent | Model | Cost model | Strengths |\r\n|-------|-------|-----------|-----------|\r\n| `pipo` (self) | gpt-5.3-codex (reasoning_effort: high) → blockrun/auto → openrouter/free | subscription + fallbacks | You. Maxxxed out Codex as primary. |\r\n| `openrouter` | openrouter/auto → openrouter/free | OpenRouter credits | General-purpose; OR picks best model per task. Use to spend OR credits or when CLI agents are rate-limited |\r\n| `clawrouter` | blockrun/auto → openrouter/free | blockrun credits + free fallback | Dedicated routing agent — ask it when unsure where to send a task |\r\n| `codex` | GPT-5.3-Codex (CLI) | $20/mo flat, rate-limited | Coding, refactoring, code review |\r\n| `claude` | Claude Sonnet 4.6 (CLI) | $20/mo flat, rate-limited | Complex reasoning, writing, analysis |\r\n| `claude-opus` | Claude Opus 4.6 (CLI) | $20/mo flat, strictest limits | Highest quality — use sparingly |\r\n| `gemini` | Gemini CLI | Free (no hard limits) | General tasks, summaries, quick answers |\r\n| `deepseek-code` | DeepSeek Chat (API) | ~$8.10 credit, cheap/token | Coding + reasoning, credit-efficient |\r\n| `kimi` | Kimi K2.5 (API) | ~$10 credit | Long context (200k), coding, multilingual |\r\n\r\n### Routing rules — pick the cheapest option that fits\r\n1. **Simple Q&A, summaries, quick tasks** → `gemini` (free, no limits). First choice for anything lightweight.\r\n2. **Coding tasks** → `codex` (subscription, best at it). Fallback: `kimi` (credits, 200k ctx) → `deepseek-code` (credits, cheap).\r\n3. **Complex reasoning / analysis / writing** → `claude` (subscription). Fallback: `kimi` → `deepseek-code`.\r\n4. **Very long context (>32k tokens)** → `kimi` (200k window, credits). Fallback: `claude`.\r\n5. **Highest quality, no compromise** → `claude-opus` (use only when truly needed — strictest rate limits).\r\n6. **Unknown / mixed / unsure** → ask `clawrouter` — it uses blockrun/auto to decide.\r\n7. **CLI agents rate-limited / want to use OpenRouter credits** → `openrouter` agent (uses `openrouter/auto` — OR picks best model per task).\r\n8. **Emergency / everything else rate-limited** → `openrouter/free` (free tier, unpredictable model).\r\n\r\n### Credit preservation order (spend last)\r\nMoonshot ($10) and DeepSeek ($8.10) are your most valuable paid credits — don't burn them on tasks gemini/codex/claude can handle. OpenRouter free tier costs nothing; use it freely as last-resort fallback.\r\n\r\n### Shell wrappers\r\n- `g \"prompt\"`: Gemini CLI\r\n- `c \"prompt\"`: Codex safe mode (read-only)\r\n- `cn \"prompt\"`: Codex network mode (full access, git/npm)\r\n- `kimi-openclaw \"prompt\"`: Kimi K2.5 direct\r\n\r\n## 🔒 Security Baseline (as of 2026-03-05)\r\n\r\nExpected open ports — anything else is a regression:\r\n- `:22` SSH — public (normal)\r\n- `100.87.116.90:443` OpenClaw dashboard — Tailscale only\r\n- `100.87.116.90:58687` Tailscale — Tailscale only\r\n\r\nDisabled services: CUPS (`sudo snap disable cups`), rpcbind (masked socket unit).\r\nQuick check: `ss -tlnp | grep -v \"127.0.0\" | grep -v \"::1\"`\r\n\r\nopenclaw.json agent model format — only `{primary, fallbacks}` is valid. Extra fields crash the gateway.\r\n\r\n## 🚀 Deployment (Maxxxed Out)\r\nYou can now lift sites!\r\n- **Port 443 root (`/`) is reserved for the OpenClaw dashboard. Do not overwrite it with `tailscale serve`.**\r\n- **Ports 3001-3010** are mapped to the host for preview apps.\r\n- Use `pipo-deploy <port> [name]` to expose a running service under `/preview/<name>/` without touching the dashboard.\r\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/`.\r\n- Remove a preview with `pipo-undeploy <name>`.\r\n\r\n## 🛒 Supermarket Orders — ALL 4 STORES WORKING (as of 2026-03-05)\r\n\r\n**Architecture: HTTP cookie bridge** — export cookies once via Chrome relay → save to `session-cookies.json` → pure HTTP calls for recurring autonomous runs. No browser needed after export.\r\n\r\n**Chrome relay CDP auth:** `ws://127.0.0.1:18792/cdp` with header `x-openclaw-relay-token: <gateway.auth.token>` — raw `ws` npm package (NOT Playwright connectOverCDP).\r\n\r\n### Store reference table\r\n\r\n| Store | Auth cookie | Hostname | Orders | Data dir |\r\n|-------|-------------|----------|--------|----------|\r\n| DIA | `VtexIdclientAutCookie_diaio` | `diaonline.supermercadosdia.com.ar` | 18 | `data/dia/` |\r\n| Carrefour | `VtexIdclientAutCookie_carrefourar` | `www.carrefour.com.ar` | 2 | `data/carrefour/` |\r\n| Disco | `VtexIdclientAutCookie_discoargentina` | `www.disco.com.ar` | 1 | `data/disco/` |\r\n| Jumbo | `VtexIdclientAutCookie_jumboargentinaio` | `www.jumbo.com.ar` | 0 | `data/jumbo/` |\r\n| Changomas | `VtexIdclientAutCookie_masonlineprod` | `www.masonline.com.ar` | 0 | `data/changomas/` |\r\n\r\nAll use standard VTEX OMS API: `GET /api/oms/user/orders?page=N&per_page=50` + detail at `/api/oms/user/orders/{orderId}`.\r\nException: DIA uses custom endpoint `/_v/private/store-services/diadigital/orders`.\r\nPrices in cents — divide `totalValue` / `sellingPrice` by 100 for ARS.\r\n\r\n### Two-step workflow (per store)\r\n1. **Export** (needs logged-in tab + relay ON): `node scripts/<store>_export_cookies.js`\r\n2. **Fetch** (fully autonomous): `node scripts/<store>_fetch_orders_http.js` → JSON + CSV + timestamped archive\r\n\r\nCookies last weeks–months. Re-export only when HTTP 401/403 appears.\r\n\r\n### DIA note\r\nLogin at `auth.diadigital.app` is Flutter web — headless form automation is unreliable. Cookie bridge bypasses entirely.\r\nFull runbook: `dia-autonomy-runbook.md`\r\n\r\n### Next milestone\r\nBuild product ranking / report sites for Carrefour, Disco, Jumbo — same pattern as `dia-report/` (scripts: `dia_build_product_ranking.js`, `dia_build_report_data.js`).\r\n\r\n## 🏪 Promos Bancarias Supermercados — AUTÓNOMO ✅ (2026-03-06)\r\n\r\nScript: `node /home/ubuntu/.openclaw/workspace/scripts/fetch_bank_promos.js`\r\nCron: systemd timer `bank-promos-fetch.timer` — corre 09:00 y 21:00 UTC (06:00 y 18:00 AR)\r\nPágina: `https://miopenclaw-vnic.tail9799d2.ts.net/preview/super-ranking/descuentos.html`\r\nDatos: `super-ranking-report/bank-promos-data.js` + `data/discounts/bank-promos-latest.json`\r\n\r\n**APIs por tienda:**\r\n- Coto: ATG API `/rest/model/atg/actors/cProfileActor/getPromociones?enviroment=ag`\r\n- Jumbo+Disco: VTEX Master Data `JN/documents/bankDiscount?an=jumboargentina` (filtrar `websites`)\r\n- Carrefour: VTEX GraphQL `GetPromotions` hash=`cdedb2142b13...`  account=`carrefourar`\r\n- Changomas: VTEX GraphQL `GetPromos` hash=`1a071ebc5dc4...` account=`masonlineprod`\r\n- DIA: HTTP GET `/medios-de-pago-y-promociones` → parse `__STATE__` JSON blob en el HTML (script inline con `ModalText`+`promotions`) → `props.promotions[]` contiene `promotionFirstText/SecondText/ThirdText`, `ModalText` (legal completo), `daysToShow:{all,monday,...}`, `DarkFlag/LightFlag` (canal). Fully autonomous, source=`vtex-ssr-html`.\r\n\r\nDetalle completo: `memory/2026-03-05-promos-scraping.md`\r\n\r\n**Endgoal:** Pipo conoce consumos de Ignacio → calcula mejor día/tienda/tarjeta → arma carrito → Ignacio finaliza.\r\n\r\n## 🛍️ Descuentos de Productos — AUTÓNOMO ✅ (2026-03-06)\r\n\r\nScript: `node /home/ubuntu/.openclaw/workspace/scripts/fetch_product_promos.js`\r\nCron: systemd timer `product-promos-fetch.timer` — corre 08:00 y 20:00 UTC (05:00 y 17:00 AR)\r\nDatos: `super-ranking-report/product-promos-data.js` + `data/discounts/product-promos-latest.json`\r\n\r\n**Estrategia two-phase (VTEX cluster scan):**\r\n- Phase 1: IS API `/_v/api/intelligent-search/product_search?map=c&query={slug}` → descubre cluster IDs de promo activos desde `clusterHighlights` (Jumbo/Disco) o `productClusters` (resto)\r\n- Phase 2: catalog API `fq=productClusterIds:{id}` pagina todos los productos del cluster\r\n\r\n**Resultados (primera corrida):**\r\n| Store | Products | Clusters |\r\n|-------|----------|----------|\r\n| Jumbo | 13,225 | 234 |\r\n| Disco | 12,036 | 287 |\r\n| Carrefour | 24,660 | 203 |\r\n| Changomas | 32,632 | 339 |\r\n| DIA | 2,600 | 144 |\r\n| **Total** | **85,153** | **1,207** |\r\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":1773687704445}}