{ "job_id": "20260506T052105920317Z", "queued_at": "2026-05-06T05:21:05.920378+00:00", "status": "queued", "job_type": "session_memory_analysis", "payload": { "session_id": "871f4f54", "session_file": "/home/sebas/pi-config/sessions/--home-sebas--/2026-05-05T22-06-23-224Z_019dfa2d-8ff8-7353-ad15-7b5e6d18e39c.jsonl", "reason": "before_switch:new", "cwd": "/home/sebas", "scope": "global", "user_messages": 11, "assistant_messages": 46, "last_user_text": "si", "last_assistant_text": "Sí. Ya quedó mucho más visible. ## Dónde lo dejé ### 1. README principal - `~/pi-config/README.md` Ahora: - aparece en `Included` - tiene sección propia dentro de `Batch pi helpers` - compara directo: - `pi-loop` vs `pi-job-*` - da regla de decisión clara ### 2. Doc dedicada - `~/pi-config/docs/pi-loop.md` Ahí quedó: - qué hace - cuándo usarlo - cuándo usar `pi-job-*` en cambio - defaults - ejemplos - layout de outputs ### 3. Arquitectura - `~/pi-config/SERVICES-ARCHITECTURE.md` Ahora: - `pi-loop` ya figura como herramienta de primer nivel - está puesto junto a `pi-job-*` - queda explícito el split conceptual ## Resultado práctico Ahora si alguien mira docs principales, debería ver: - `pi-loop` existe - para qué sirve - cuándo proponerlo - cómo se diferencia de `pi-job-*` Si querés, siguiente mejora fuerte: - agregar alias más “mentalmente recordable” - por ejemplo `pi-iterate` - manteniendo `pi-loop` como nombre real o alias inverso Eso lo haría todavía más proponible en conversación.", "branch": [ { "type": "model_change", "id": "fb055a89", "parentId": null, "timestamp": "2026-05-05T22:06:25.085Z", "provider": "openrouter", "modelId": "nvidia/nemotron-3-super-120b-a12b:free" }, { "type": "thinking_level_change", "id": "7f63f59f", "parentId": "fb055a89", "timestamp": "2026-05-05T22:06:25.085Z", "thinkingLevel": "low" }, { "type": "message", "id": "72ed745b", "parentId": "7f63f59f", "timestamp": "2026-05-05T22:06:25.937Z", "message": { "role": "user", "content": [ { "type": "text", "text": "/mode" } ], "timestamp": 1778018785935 } }, { "type": "model_change", "id": "59a61f3f", "parentId": "72ed745b", "timestamp": "2026-05-05T22:06:32.334Z", "provider": "openai-codex", "modelId": "gpt-5.4" }, { "type": "message", "id": "4f47cb95", "parentId": "59a61f3f", "timestamp": "2026-05-05T22:06:34.735Z", "message": { "role": "assistant", "content": [], "api": "openai-completions", "provider": "openrouter", "model": "nvidia/nemotron-3-super-120b-a12b:free", "usage": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 0, "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0, "total": 0 } }, "stopReason": "aborted", "timestamp": 1778018785936, "errorMessage": "Operation aborted" } }, { "type": "message", "id": "4d77b723", "parentId": "4f47cb95", "timestamp": "2026-05-05T22:09:21.527Z", "message": { "role": "user", "content": [ { "type": "text", "text": "Quiero que armes un script que en un loop llame api con el mismo prompt, la cantidad de veces que pidan los argumentos y con el prompt que venga también de argumentos. Antes de argumento hay un mensaje que le indique que está en este loop y que en qué iteración está. Y la idea de esto es que múltiples sesiones vayan reforzando el trabajo del anterior hasta que la tarea pasada por el prompt esté finalizada. No te preocupes por tener una condición de finalización, en este caso vamos a simplemente seguir llamando por más que para la quinta sesión por ejemplo ya no se haga código nuevo y gastemos cinco sesiones en el caso de que fueran diez." } ], "timestamp": 1778018961522 } }, { "type": "message", "id": "4bb75c0e", "parentId": "4d77b723", "timestamp": "2026-05-05T22:09:25.958Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Inspecting scripts and context**\n\nI think I need to inspect the repository to understand what mode the command should be in. The user has asked for a script, so I need to determine the right context, likely related to pi-config. If it's necessary, I might ask for clarification on the scope. My next step should be to take a closer look at the files in the repository to gather the information I need.", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6a92f2888197a1d6e8dfaf949152\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mqV6K85jrPBGn_VIkkfL3VrgAgULBNwoA4aqFnXsgbKDlKeEYuyYVS_2OdpG5KW_LJX_HEb_J7dmvW-PPM-WkOerJ7MiFUNEWHMmb8HOqidGlhWwH1SR_vugPQgwqMOlM8dm6fBR_9XJ_nHK6LGBZXlA3d1pWowBGc3TFnlyVlW0b1Hntafa2WooKDZhGe8vtP23cSS9kCnaZQfyYWCm_WJBbGg3Ymbde_LuP7U-7PmGwfIpuvZuVj3JACssqQfeJ32hfGqtcwbDnX6K28lwlEqBmmOcmOW3aK-6Gchw3VbkC2ZzwRoJneIt6bT31ZnTUP4a9ukw09HiDZPzEtaYA96ZyYlHBK6jX-a0ax1VJJ0kmivYn4epiaFsnwB0xw4S_yViO5DR5XYDEGZzKu2MMRJpYCJH41mmRp8pJdT13x1CKgppjtVkRpatk5808XQk9w1iWoxwBlzPAKUF_ad891xYuFlIY4c0MMQI3IcLXLm46EChr-JBM1bjilA5T_48FLjRJSXX2hyxs4aw7BXK4mnlF_AQTjaSlZAPYGrLJbIsj_xqfHg84v6i74PpEGGqBqyuASZCjy5GE8k6DkoRvOBQ81h89D2OPH2lRm5hg98Du4F7yPb4Q6rxpHwX1G42pa5rxXO953k_rz078cnQpkWvBER6sGZ_-Q9QX8gaeqxRxEIK1AQ-W1l_pgQDYsC4cHBiKmFWtRdrt5rTV24g69AV94-fWtSnBjj6rNoEPxXS0yN0i68aDIjb58VqYLU91YB9Vl83FnALBGXhju8d5O33lM8_6ZpvMtFtCrHx-SJf9EBkJfU5D-NKFzvzTK2bQry4Um5NE0_11ig46slj9qG6TKqeGl5d2oHVLgD2_Ne0JXcCI1gc16BA2WP-dgUz2V0_nAlHYwjyI79Ti6pD-wKQaCxNGL5H32BRFtaNpF61JyjOrAlEA2phBC62vXtvwZle7-TzQoTjSokAbfuOu2nMdeGjVOKAMvAsTR8rJi9H2enW-Xmo6FR9Uiy4JAf48mAxbNrHiJG1tDSC0g5ribGBhkcSI3HHE0EDyKALQegt7YEky88CdnENBlh7g_ODJ-0gJNJWvuoNJTx9pkyz50yWJO4CVkaDHCx18-TpS_rnJI=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting scripts and context**\\n\\nI think I need to inspect the repository to understand what mode the command should be in. The user has asked for a script, so I need to determine the right context, likely related to pi-config. If it's necessary, I might ask for clarification on the scope. My next step should be to take a closer look at the files in the repository to gather the information I need.\"}]}" }, { "type": "toolCall", "id": "call_eYlCxcSEylNr2YjiyZ9STUUZ|fc_0ff3a93ad93b26e40169fa6a95d0d081979bb4c3435912d2b0", "name": "bash", "arguments": { "command": "pwd && ls -la && find . -maxdepth 2 -type f | sed 's#^./##' | sort | head -200" } }, { "type": "toolCall", "id": "call_XUuSgSQGaFz7sdXhZK0JILO1|fc_0ff3a93ad93b26e40169fa6a95d0e08197ac62d5103d7578c6", "name": "read", "arguments": { "path": "/home/sebas/pi-config/AGENTS.md", "offset": 1, "limit": 220 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 4102, "output": 129, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 4231, "cost": { "input": 0.010255, "output": 0.001935, "cacheRead": 0, "cacheWrite": 0, "total": 0.01219 } }, "stopReason": "toolUse", "timestamp": 1778018961529, "responseId": "resp_0ff3a93ad93b26e40169fa6a91cdb08197bb780854d7965d9b" } }, { "type": "message", "id": "03c1000e", "parentId": "4bb75c0e", "timestamp": "2026-05-05T22:09:26.006Z", "message": { "role": "toolResult", "toolCallId": "call_eYlCxcSEylNr2YjiyZ9STUUZ|fc_0ff3a93ad93b26e40169fa6a95d0d081979bb4c3435912d2b0", "toolName": "bash", "content": [ { "type": "text", "text": "/home/sebas\ntotal 356\ndrwxr-xr-x+ 47 sebas sebas 4096 May 5 17:50 .\ndrwxr-xr-x 4 root root 4096 Jan 27 22:05 ..\ndrwxr-xr-x 5 sebas sebas 4096 Apr 21 23:44 .agents\ndrwxrwxr-x 11 sebas sebas 4096 Apr 22 16:57 agents-database\n-rw-rw-r-- 1 sebas sebas 113 Apr 20 15:41 AGENTS.md\ndrwx------ 3 sebas sebas 4096 Jan 16 17:38 .ansible\ndrwxr-xr-x 16 sebas sebas 4096 May 5 15:28 ballbox\n-rw-rw-r-- 1 sebas sebas 0 Apr 19 17:55 .bash_aliases\n-rw------- 1 sebas sebas 12597 May 5 17:50 .bash_history\n-rw-r--r-- 1 sebas sebas 220 Dec 4 11:40 .bash_logout\n-rw-r--r-- 1 sebas sebas 5346 May 5 12:33 .bashrc\n-rw-r--r-- 1 sebas sebas 5357 Apr 20 10:56 .bashrc.bak.20260420105624\ndrwxrwxr-x 6 sebas sebas 4096 Apr 19 15:56 browser-harness\ndrwxr-xr-x 9 sebas sebas 4096 Feb 15 15:49 bug-bounty\ndrwxr-xr-x 4 sebas sebas 4096 May 1 01:52 .bun\ndrwxr-xr-x 9 sebas sebas 4096 May 5 15:25 .cache\ndrwxr-xr-x 14 sebas sebas 4096 Jan 27 21:52 .claude\n-rw------- 1 sebas sebas 4503 Jan 27 21:52 .claude.json\n-rw------- 1 sebas sebas 4504 Jan 27 21:52 .claude.json.backup\n-rw-r--r-- 1 sebas sebas 403 Jan 28 11:38 client_secret_1019422495774-0cvo8lefqh667vgmekec8ruqdnrior71.apps.googleusercontent.com.json\n-rw-rw-r-- 1 sebas sebas 0 Dec 4 11:51 .cloud-locale-test.skip\ndrwxr-xr-x 9 sebas sebas 4096 Apr 30 14:45 .codex\ndrwx------ 23 sebas sebas 4096 May 5 12:12 .config\ndrwxrwxr-x 2 sebas sebas 4096 Dec 4 11:51 Desktop\ndrwxr-xr-x 2 sebas sebas 4096 Dec 4 11:51 Documents\ndrwxrwxr-x 3 sebas sebas 4096 Apr 18 09:35 downloads\ndrwxr-xr-x 2 sebas sebas 4096 Apr 23 16:37 Downloads\ndrwxr-xr-x 4 sebas sebas 4096 May 5 12:22 eiffel-monitor\n-rw-rw-r-- 1 sebas sebas 279 Apr 16 18:19 .gitconfig\n-rw------- 1 sebas sebas 73 Apr 15 18:12 .git-credentials\ndrwxrwxr-x 3 sebas sebas 4096 May 1 01:52 go\ndrwxrwxr-x 9 sebas sebas 4096 Feb 21 10:23 health-system\ndrwxr-xr-x 4 sebas sebas 4096 Apr 23 22:53 .hist\n-rw-r--r-- 1 sebas sebas 2312 Apr 20 18:51 inspect-ourvend.spec.ts\ndrwx------ 5 sebas sebas 4096 Apr 14 12:54 .local\ndrwxrwxr-x 2 sebas sebas 4096 Apr 21 12:17 logs\ndrwxr-xr-x 5 sebas sebas 4096 May 5 12:33 media\n-rw-r--r-- 1 sebas sebas 5983 Apr 21 22:29 memory-audit-report.html\n-rw-r--r-- 1 sebas sebas 15426 May 4 18:29 microsd-migration-handoff.md\ndrwxr-xr-x 2 sebas sebas 4096 May 5 12:12 migration-backups\ndrwx------ 5 sebas sebas 4096 May 5 12:15 .mozilla\ndrwxr-xr-x 2 sebas sebas 4096 Dec 4 11:51 Music\n-rw-rw-r-- 1 sebas sebas 282 Apr 16 12:11 notas\ndrwxr-xr-x 5 sebas sebas 4096 Feb 1 21:56 .npm\ndrwxr-xr-x 4 sebas sebas 4096 Jan 27 11:48 .npm-global\n-rw------- 1 sebas sebas 31 Jan 27 11:47 .npmrc\n-rw-r--r-- 1 sebas sebas 0 Mar 18 15:06 .opencode-web.log\n-rw-rw-r-- 1 sebas sebas 472 Apr 14 23:17 opencode-web.log\ndrwxrwxr-x 2 sebas sebas 4096 Apr 16 22:38 ops-notes\ndrwxrwxr-x 5 sebas sebas 4096 May 1 16:06 .pi\ndrwxrwxr-x 9 sebas sebas 4096 May 5 19:06 pi-config\ndrwxr-xr-x 2 sebas sebas 4096 Dec 4 11:51 Pictures\n-rw-r--r-- 1 sebas sebas 4571 Apr 13 09:56 pihole-unbound-tailscale-blueprint.bck.md\n-rw-r--r-- 1 sebas sebas 16865 Apr 13 10:08 pihole-unbound-tailscale-blueprint.md\ndrwxr-xr-x 3 sebas sebas 4096 Apr 30 20:33 pi-jobs\ndrwx------ 3 sebas sebas 4096 Jan 17 11:24 .pki\ndrwxr-xr-x 8 sebas sebas 4096 Apr 10 17:00 playwright-browsers\ndrwxrwxr-x 3 sebas sebas 4096 Apr 19 15:41 .pnpm-store\n-rw-rw-r-- 1 sebas sebas 2001 Apr 21 10:17 PORTAL-SYSTEM-RUNBOOK.md\n-rw-r--r-- 1 sebas sebas 884 May 5 12:33 .profile\ndrwxr-xr-x 2 sebas sebas 4096 Dec 4 11:51 Public\ndrwxrwxr-x 2 sebas sebas 4096 Apr 16 16:32 scripts\n-rw-r--r-- 1 sebas sebas 3519 Apr 21 10:27 SERVICES-ARCHITECTURE.md\ndrwx------ 2 sebas sebas 4096 Apr 29 17:39 .ssh\n-rw-r--r-- 1 sebas sebas 0 Dec 4 11:51 .sudo_as_admin_successful\ndrwxr-xr-x 6 sebas sebas 4096 Jan 15 22:26 telegram-bot-listener-backup-20260118\ndrwxr-xr-x 2 sebas sebas 4096 Dec 4 11:51 Templates\ndrwxr-xr-x 2 sebas sebas 4096 Apr 20 18:54 test-results\n-rw-rw-r-- 1 sebas sebas 1274 Apr 21 18:39 .tmux.conf\ndrwxr-xr-x 3 sebas sebas 4096 Apr 22 10:37 .venvs\ndrwxrwxr-x 3 sebas sebas 4096 Apr 18 16:31 venvs\ndrwxr-xr-x 2 sebas sebas 4096 Dec 4 11:51 Videos\n-rw-r--r-- 1 sebas sebas 215 Apr 21 16:30 .wget-hsts\n-rw------- 1 sebas sebas 58 May 5 10:07 .Xauthority\n-rw------- 1 sebas sebas 3853 May 5 10:07 .xsession-errors\n-rw------- 1 sebas sebas 3901 May 5 10:06 .xsession-errors.old\ndrwxr-xr-x 2 sebas sebas 4096 Apr 30 14:25 .zed_server\nagents-database/.gitignore\nagents-database/pyproject.toml\nAGENTS.md\n.agents/.skill-lock.json\nballbox/AGENTS.md\nballbox/CLAUDE.md\nballbox/components.json\nballbox/docker-compose.yml\nballbox/.env.example\nballbox/.env.local\nballbox/.env.production\nballbox/eslint.config.mjs\nballbox/.gitignore\nballbox/next.config.mjs\nballbox/next-env.d.ts\nballbox/package.json\nballbox/PLAN.md\nballbox/playwright.config.ts\nballbox/pnpm-lock.yaml\nballbox/postcss.config.mjs\nballbox/proxy.ts\nballbox/README.md\nballbox/tsconfig.json\nballbox/tsconfig.tsbuildinfo\nballbox/vitest.config.ts\n.bash_aliases\n.bash_history\n.bash_logout\n.bashrc\n.bashrc.bak.20260420105624\nbrowser-harness/package.json\nbrowser-harness/playwright.config.ts\nbrowser-harness/pnpm-lock.yaml\nbrowser-harness/README.md\nbug-bounty/CLAUDE.md\nbug-bounty/config.yaml\nbug-bounty/.gitignore\nbug-bounty/README.md\nbug-bounty/setup.sh\n.claude/.credentials.json\n.claude/history.jsonl\n.claude.json\n.claude.json.backup\n.claude/stats-cache.json\nclient_secret_1019422495774-0cvo8lefqh667vgmekec8ruqdnrior71.apps.googleusercontent.com.json\n.cloud-locale-test.skip\n.codex/auth.json\n.codex/config.toml\n.codex/history.jsonl\n.codex/installation_id\n.codex/logs_2.sqlite\n.codex/models_cache.json\n.codex/.personality_migration\n.codex/state_5.sqlite\n.codex/version.json\n.config/user-dirs.dirs\n.config/user-dirs.locale\nDownloads/ARRIVAL_GUIDE.pdf\nDownloads/TECHNICAL_LEARNINGS.pdf\nDownloads/vending-machine-program-integration-v2.5-english.html\neiffel-monitor/eiffel-monitor.service\neiffel-monitor/.env\neiffel-monitor/.gitignore\neiffel-monitor/monitor.log\neiffel-monitor/monitor.py\neiffel-monitor/README.md\neiffel-monitor/requirements.txt\n.gitconfig\n.git-credentials\nhealth-system/.gitignore\nhealth-system/NEXT_STEPS.md\nhealth-system/PLAN_VERBATIM.md\nhealth-system/README.md\nhealth-system/README-systemd.md\ninspect-ourvend.spec.ts\nlogs/agent-tmp-gc.log\nlogs/ballbox-services.log\nmemory-audit-report.html\nmicrosd-migration-handoff.md\nnotas\n.npmrc\n.npm/_update-notifier-last-checked\n.opencode-web.log\nopencode-web.log\nops-notes/eiffel-monitor-restore-2026-04-17.log\nops-notes/sd-transplant-prep-2026-04-17.txt\nops-notes/sd-transplant-runbook-2026-04-17.md\npi-config/AGENTS.md\npi-config/auth.json\npi-config/.gitignore\npi-config/locks.json\npi-config/README.md\npi-config/SERVICES-ARCHITECTURE.md\npi-config/settings.json\npi-config/SYSTEM.md\npi-config/telegram.json\n.pi/free.json\n.pi/free.log\npihole-unbound-tailscale-blueprint.bck.md\npihole-unbound-tailscale-blueprint.md\n.pi/modelmatch.log\nPORTAL-SYSTEM-RUNBOOK.md\n.profile\nscripts/ballbox-services.sh\nSERVICES-ARCHITECTURE.md\n.ssh/authorized_keys\n.ssh/id_ed25519_laptop_agent\n.ssh/id_ed25519_laptop_agent.pub\n.ssh/known_hosts\n.ssh/known_hosts.old\n.sudo_as_admin_successful\ntelegram-bot-listener-backup-20260118/bot-listener.py\ntelegram-bot-listener-backup-20260118/bot.log\ntelegram-bot-listener-backup-20260118/brain-processor.py\ntelegram-bot-listener-backup-20260118/brain-processor.service\ntelegram-bot-listener-backup-20260118/classifier.py\ntelegram-bot-listener-backup-20260118/config.py\ntelegram-bot-listener-backup-20260118/storage.py\ntest-results/.last-run.json\n.tmux.conf\n.wget-hsts\n.Xauthority\n.xsession-errors\n.xsession-errors.old\n.zed_server/zed-remote-server-stable-1.0.0+stable.257.5ec84a926ef83865afb92d2a3d1ca3b419572cf9\n" } ], "isError": false, "timestamp": 1778018966005 } }, { "type": "message", "id": "a149064f", "parentId": "03c1000e", "timestamp": "2026-05-05T22:09:26.007Z", "message": { "role": "toolResult", "toolCallId": "call_XUuSgSQGaFz7sdXhZK0JILO1|fc_0ff3a93ad93b26e40169fa6a95d0e08197ac62d5103d7578c6", "toolName": "read", "content": [ { "type": "text", "text": "# Personal Agent\n\n## Communication\n- Caveman full. Active every response.\n- Short, direct, low-noise.\n- No filler, pleasantries, hedging, verbal tics.\n- Keep tech terms exact. Fragments OK.\n- Ask only if scope, risk, or success changes.\n- No drift unless user says `normal mode` or `stop caveman`.\n- Code, commands, commits, PR text: normal technical form.\n\n## Intent\n- Optimize business impact.\n- Chase real objective, not surface ask.\n- Once clear, execute end to end.\n- Routine choices: decide and move.\n- Follow-up instructions inside an active task go into the todo list first; do not derail into immediate side work unless the user explicitly changes priority.\n- Pause only for blockers, contradictions, irreversible actions, or real scope shift.\n- Use subagents for recon, parallel work, or context isolation.\n- Use Agents Database as durable shared memory.\n- Prefer saving durable memory at session end via session analysis, not mid-conversation.\n- Save mid-conversation only when the user explicitly asks, handoff risk is high, or the information would likely be lost before session end.\n- Save high-signal prefs, decisions, project facts, reusable artifacts, and brief handoff context.\n- Prefer few strong memories over many noisy ones.\n- This Pi config repo is the place to evolve these rules.\n\n## Rules\n- Irreversible actions need explicit confirmation.\n- Never merge or push to main without user confirmation.\n- Stay direct and low-noise.\n- Call out contradictions when they matter.\n- Code, commands, commits, PR text: normal technical form.\n\n## Machine Context\n- Machine: `ballbox-first`.\n- Do not SSH into `ballbox-first` for normal local work.\n- This Pi is workstation + server for Sebas.\n- \"the server\" usually means this machine unless user says other.\n\n## Server Details\n- Hostname: `ballbox-first.emperor-ratio.ts.net`\n- Tailscale IP: `100.116.176.16`\n- Runs 24/7\n- Nginx on `:80` routes local services\n- `agents-database`: `http://100.116.176.16:8091/api/status`\n\n## Web Exposure / Tailscale\n- For local web apps, prefer nginx on `localhost:80`, then `tailscale serve`.\n- Prefer subpaths like `/cli/` before `/` when portal/home exists.\n- If app only lives in Tailscale, disable local auth when it adds no value and tailnet already gates access.\n- If you generate a file Sebas may open from another device, return a full clickable URL when possible.\n- Prefer: `https://ballbox-first.emperor-ratio.ts.net/files/...`\n- Path mapping: `/home/...` -> `/files/home/...`, `/mnt/...` -> `/files/mnt/...`.\n\n## tmux / TUI\n- tmux/persistence architecture: `/mnt/rpi/pi-config/SERVICES-ARCHITECTURE.md`.\n- That doc is source of truth for `pitmux`, `piresume`, scroll, bindings, persistence model.\n- If you touch tmux or `pi` launcher, update that file first.\n\n## Shared Storage / Tooling\n- For durable local machine tools, harnesses, caches, or shared artifacts that may grow, prefer `/mnt/rpi` over `~` because home storage is low.\n\n## /tmp Cleanup\n- Use `bin/tmp-cleanup` for top-level `/tmp` files older than 3 days.\n- Install via `scripts/install-tmp-cleanup-cron.sh`.\n\n## Laptop Helpers\n- CLI helpers exist for Sebas's laptop via Tailnet SSH-over-TCP.\n- Default host: `brag-pipe-fur-kneel.emperor-ratio.ts.net`.\n- Default port: `2222`.\n- Default key: `~/.ssh/id_ed25519_laptop_agent`.\n- Helpers:\n - `laptop-read `: remote cat over SSH.\n - `laptop-run `: remote command over SSH.\n - `laptop-rsync [extra args]`: rsync via SSH.\n - `laptop-mount`, `laptop-umount`, `laptop-write`: access/copy flows.\n- If you need laptop IP/host, use `tailscale status --json` and look for MacBook peers.\n- If task says \"files on the laptop\", use these helpers instead of manual SSH.\n\n## Telegram\n- Vars:\n - `TELEGRAM_BOT_TOKEN`\n - `TELEGRAM_CHAT_ID`\n- Notify:\n```bash\n~/.agents/skills/telegram-notify/telegram-notify \"Message\"\n```\n" } ], "isError": false, "timestamp": 1778018966006 } }, { "type": "message", "id": "4f8f1a89", "parentId": "a149064f", "timestamp": "2026-05-05T22:09:29.559Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": 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} ], "isError": false, "timestamp": 1778018969609 } }, { "type": "message", "id": "d9d3f97d", "parentId": "4ce5f20f", "timestamp": "2026-05-05T22:09:29.618Z", "message": { "role": "toolResult", "toolCallId": "call_cD8GWgT0wAd8uXCkpIvxw7Vk|fc_0ff3a93ad93b26e40169fa6a9966d081979a4c27c40740b87d", "toolName": "read", "content": [ { "type": "text", "text": "# pi-config\n\nPersonal Pi configuration for **sebasfavaron**.\n\n## Included\n- `AGENTS.md`\n- `MIGRATION.md`\n- `settings.json`\n- `extensions/subagent/`\n- `extensions/questionnaire.ts`\n- `extensions/session-memory-prompt.ts`\n- `scripts/apply-pi-shutdown-hook-patch.py`\n- `scripts/session-memory-analyzer.py`\n- `scripts/session-memory-dispatcher.py`\n- `scripts/install-session-memory-dispatcher.service`\n- `bin/tmp-cleanup` / `/tmp` cleanup tool\n- `scripts/install-tmp-cleanup-cron.sh` cron installer for /tmp cleanup\n- `bin/laptop-*` remote laptop helper scripts\n- `bin/laptop-write` atomic remote file writer for laptop files\n\n## Goal\n\nMake this repo both the source of truth **and the live Pi config directory**.\n\n## Notes\n\n- Direct, compressed, low-noise communication is the default style.\n- Session close hook now prompts once before switch/fork/exit to encourage saving durable memory into agents-database.\n- Session memory now uses an external local dispatcher on `127.0.0.1:17882`; the hook only captures session identity/context, the dispatcher enqueues metadata, and a background analyzer decides whether anything durable is worth saving.\n- The canonical memory pipeline lives in `agents-database` (`MemoryService` / `MemoryEngine`). Repo-local helpers should only capture session context and hand off to that service.\n- The analyzer uses `pi` in background with a cheap model (`gpt-5.4-mini`) and thinking off when possible.\n- Use `./scripts/install-session-memory-dispatcher.service` to keep the dispatcher alive under systemd user service if desired.\n- The old `session_before_shutdown` runtime patch remains as fallback only if you choose to keep it enabled.\n- Reapply the runtime patch after Pi upgrades only if you still use that fallback: `./scripts/apply-pi-shutdown-hook-patch.py`\n- **Pending validation:** confirm the default communication mode auto-loads in every new Pi session.\n- Top-level `/tmp` files older than 3 days are cleaned every 3 days via `bin/tmp-cleanup`.\n- Install the cleanup cron with `scripts/install-tmp-cleanup-cron.sh`.\n- Remote laptop workflow can be driven from this Pi using `bin/laptop-run`, `bin/laptop-read`, `bin/laptop-write`, `bin/laptop-rsync`, `bin/laptop-mount`, and `bin/laptop-umount` against host `sebastians-macbook-pro-2`.\n\n## Local server routes on `ballbox-first`\n\nCurrent nginx portal on `:80` exposes:\n- `/` → portal home from `/var/www/portal`\n- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count\n- `/portal/` → proxied app on `127.0.0.1:18789`\n- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`\n- `/files/` → copyparty file server on `127.0.0.1:3923`\n- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`\n\nImplementation note for `/mp3-share/`:\n- nginx route lives in `/etc/nginx/sites-available/kiosk`\n- portal home link lives in `/var/www/portal/index.html`\n- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree\n\n## Remote laptop helpers\n\nDefault host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.\n\nExamples:\n- `bin/laptop-run 'uname -a'`\n- `bin/laptop-read /Users/sebas/.zshrc | sed -n '1,40p'`\n- `bin/laptop-rsync sebastians-macbook-pro-2:/Users/sebas/Downloads/file ./`\n- `bin/laptop-rsync ./localfile sebastians-macbook-pro-2:/Users/sebas/Downloads/`\n- `printf 'new contents\\n' | bin/laptop-write /Users/sebas/Downloads/test.txt`\n- `bin/laptop-write --from ./localfile /Users/sebas/Downloads/test.txt`\n- `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`\n\n## /tmp cleanup\n\nTop-level `/tmp` files older than 3 days are cleaned every 3 days.\n\n- `bin/tmp-cleanup [--dry-run]`\n- `scripts/install-tmp-cleanup-cron.sh`\n\n" } ], "isError": false, "timestamp": 1778018969617 } }, { "type": "message", "id": "51dad32b", "parentId": "d9d3f97d", "timestamp": "2026-05-05T22:09:29.621Z", "message": { "role": "toolResult", "toolCallId": "call_TXiKgrzQpAMKDssaKuu4TCQn|fc_0ff3a93ad93b26e40169fa6a9966d881978ed8900e04b3a7ee", "toolName": "read", "content": [ { "type": "text", "text": "You are Sebas's personal coding agent.\n\n## Communication\n\nDefault style is direct, compressed, and low-noise.\n\nKeep this style active for every new session and every response unless the user explicitly asks for a different communication style.\n\nDo not change style from implication, inferred intent, tone, politeness, or guessed preference.\n\nIf user seems to want a different style but does not ask explicitly, ask for confirmation before switching.\n\nDo not mirror user verbosity, tone, or sentence length.\n\nRemove filler, pleasantries, and hedging unless they materially improve clarity.\n\nPrefer short words, tight phrasing, and direct structure.\n\nUse normal prose when safety, irreversible actions, or sequence clarity matter more than compression. Resume default style after that section.\n\nKeep responses direct and low-noise.\n\n## Core rules\n\nPrioritize business impact.\nReframe technical work toward real objective.\nAsk only questions that change scope, risk, or success criteria.\nExecute fully once clarified.\nPoint out contradictions when they matter.\n\nUse Agents Database as shared durable memory, not just search.\nCreate a memory when new information is likely useful beyond the current chat or task.\nEspecially save: stable user preferences, recurring constraints, important project facts, decisions, reusable sources/artifacts, and notable blocked state or handoff context.\nDo not save obvious trivia, ephemeral chatter, redundant notes, or secrets unless the user explicitly asks for that.\nPrefer a few high-signal memories over many noisy ones.\nWhen useful context may already exist, check Agents Database before or during work.\nWhen writing memory, include the best available scope/type and attach project_id, repo_id, task_id, run_id, source_ref, origin_agent, url, and domain when known.\nDefault memory types: `profile` for user preferences/priorities, `decision` for chosen approaches, `project` for durable project facts, `artifact` for reusable references/sources, `episode` for concise session or handoff summaries.\nUse the `agents-database` HTTP API on `http://100.116.176.16:8091`, especially `GET /api/search`, `GET /api/context`, and `POST /api/ingest`.\n- `GET /api/search` is the normal lookup path for finding memories by id fragment, content, or query.\n- `GET /api/context` returns a contextual bundle around a memory, not a reliable exact-id fetch.\n\nIrreversible actions require explicit confirmation.\nNever merge or push to main without user confirmation.\n\n## Machine context\n\nThis machine is `ballbox-first`.\nDo not SSH into `ballbox-first` for normal local work. You are already on it.\nThis Raspberry Pi is effectively both workstation and server for Sebas's day-to-day work.\n`el servidor` usually refers to this same machine unless user clearly says otherwise.\n\n## Server details\n\nHostname: `ballbox-first.emperor-ratio.ts.net`\nTailscale IP: `100.116.176.16`\nRuns 24/7.\nNginx on `:80` routes to other local services.\n`personal-agent` status: `http://100.116.176.16:8082/api/status`\n`agents-database` status: `http://100.116.176.16:8091/api/status`\n\n## /tmp cleanup\n\nUse `bin/tmp-cleanup` to delete top-level `/tmp` files older than 3 days.\nInstall via `scripts/install-tmp-cleanup-cron.sh`.\n\n## Playwright\n\n`playwright-mcp` CLI available.\nPrefer headless Chromium.\nAvoid Firefox/WebKit unless needed.\n" } ], "isError": false, "timestamp": 1778018969617 } }, { "type": "message", "id": "13007941", "parentId": "51dad32b", "timestamp": "2026-05-05T22:09:34.574Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Implementing a script**\n\nI need to create a script, possibly in the pi-config/bin directory. First, I should check if an existing command-line interface (CLI) can call the \"api.\" I’m thinking it could be “pi” or maybe “openai.” It makes sense to inspect the authentication and settings, possibly looking into something related to the bin/pi job runner. Looks like I’ll need to search for how to properly use the API. There’s a lot to consider!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6a9b2c1c819791802ae334738108\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mqe9j9_ua-yzrBl4E9udPTEeJ7TwDqE16bI7P6ASCVp6JvDE9lXmu5whJHghpogCwa5N95DoWNysv6oSl2lm_9BglfvSSX8ZByB6kegyYZ_uoAN57QgDGe0_GQdsih2D7Xlp_EaEQ7OaP0KSQgvy_i2X-lSIsPnwJ8opKfP1y_p041J2x1skaXYWlVwPZQDH0PYaovFQ2tbAhbO3YSUwMtiIgM2X7dTE1w-cGiUbDvwLdqun7qbnv7UdXaOZKDrRAA0XDN5dgNy9-eM1r-UtOsqmGpZAqt9JuR_75PXWVqZWjdcf-w5VUolh2MZ0Q1s903O2H724Z6I1ACpw8nVaj0ZiwrpPPHbw04uvUkaZXcm4dKe6Vd4_5yNaN1GkoYZgt5OfFERPtWj4EEVNxMNs7ri12-tjAac-wFYC33-EQ3JQzxu0Qz_O76b2v1w0qJ6VwYlxw_SXcfUh-hBgpFIxS84FR_KsYPsgsemoPPh0iZ8Pb8roOB9k-DP7V5zUjXszNj8r1JG6jdMzsQIkXHQBQr11zGDqgahHhCjgtaqLlPTbTVzwkyCFo53WV9G9TQ4dWypr5cdOvNH_a-s2imR4vExOG4cF7yXK2105sOOocPziu9bUuNxYRvf2JKKfVA7MllKntz0-SN6nvPxnAWOnooDwU6PYGMX1vYC9cycPDkA8rudpavA5gbdMSfk5207hyppkB_SIQ28SwERrGgIPmdCOWVm-ZXzW1FOugN8SYe2hZK14j4J3ElIilOLj0B6_xE2WYXuWLdQkwFQw88GGgeJliGfqv1CkkKdex_AxRZCENKUh4-d2iBY7fGGEdBbbdUZxV9NCMB7FToIGGbe0Ve1fUtybSs8-8GyBTPNBmnoEs5tth9EW9XTdh6VbrggnewyVWEnM-MKsFPr_ASmiRvQMc5O96ikhWHheiDOnm9wxBNZepd62ki9IcAyDjI2baaxwQdEHGI9wkGbD0PsNRgMiAtmDVLOhkDQTws2v5kZsaFrNJhLmRTtjNh3q7MAIA6_sfSBcmhV6TLpW_NOTelHGEe_dCppvVDtgWaFw0xaELgOX9L4L00EYqcyaFa9Xrfdo5S1_4hwJxPszJXDAsP8kTWwQhTDKnt4J1bPP3wnYM4iSfCPXIkEm2v-t5l_GiCJid080tF0ZlIISHdEo6-Ybg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Implementing a script**\\n\\nI need to create a script, possibly in the pi-config/bin directory. First, I should check if an existing command-line interface (CLI) can call the \\\"api.\\\" I’m thinking it could be “pi” or maybe “openai.” It makes sense to inspect the authentication and settings, possibly looking into something related to the bin/pi job runner. Looks like I’ll need to search for how to properly use the API. There’s a lot to consider!\"}]}" }, { "type": "toolCall", "id": "call_2biQcPLNEKcB70ALiZIw1FXb|fc_0ff3a93ad93b26e40169fa6a9e6aa081978dc4039feb274e9e", "name": "bash", "arguments": { "command": "cd /home/sebas/pi-config && grep -R \"responses\\|chat.completions\\|openai\\|anthropic\\|api\" -n bin scripts extensions | head -200" } }, { "type": "toolCall", "id": "call_3qVqnLwBgXkULVijZCuZKS5a|fc_0ff3a93ad93b26e40169fa6a9e6ab481978a21995d4dcd87ee", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-job-runner", "offset": 1, "limit": 260 } }, { "type": "toolCall", "id": "call_qvUiqMfplp5Rp0o1e9Zvb9CE|fc_0ff3a93ad93b26e40169fa6a9e6abc81979cddb4e3c62a89e5", "name": "read", "arguments": { "path": "/home/sebas/pi-config/settings.json", "offset": 1, "limit": 260 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 9228, "output": 178, "cacheRead": 8192, "cacheWrite": 0, "totalTokens": 17598, "cost": { "input": 0.02307, "output": 0.00267, "cacheRead": 0.002048, "cacheWrite": 0, "total": 0.027788 } }, "stopReason": "toolUse", "timestamp": 1778018969618, "responseId": "resp_0ff3a93ad93b26e40169fa6a99e33c8197a618bea829ebfe99" } }, { "type": "message", "id": "2287efcf", "parentId": "13007941", "timestamp": "2026-05-05T22:09:34.636Z", "message": { "role": "toolResult", "toolCallId": "call_2biQcPLNEKcB70ALiZIw1FXb|fc_0ff3a93ad93b26e40169fa6a9e6aa081978dc4039feb274e9e", "toolName": "bash", "content": [ { "type": "text", "text": "grep: bin/fd: binary file matches\ngrep: scripts/__pycache__/session-memory-analyzer.cpython-313.pyc: binary file matches\ngrep: scripts/__pycache__/session-memory-dispatcher.cpython-313.pyc: binary file matches\nbin/wifi-tracker-api.py:49:@app.get('/api/summary')\nbin/wifi-tracker-api.py:54:@app.get('/api/aliases')\nbin/wifi-tracker-api.py:59:@app.get('/api/health')\nbin/wifi-tracker-api.py:72:@app.post('/api/aliases')\nscripts/session-memory-analyzer.py:53: \"openai-codex\",\nscripts/session-memory-analyzer.py:70: f\"{AGENTS_DB_API}/api/ingest\",\nscripts/session-memory-dispatcher.py:51: if self.path != \"/api/session-memory\":\nscripts/session-memory-dispatcher.py:91: print(f\"session-memory-dispatcher listening on http://{args.host}:{args.port}/api/session-memory\", flush=True)\nextensions/session-memory-dispatcher.ts:4:const DISPATCH_URL = process.env.PI_SESSION_MEMORY_DISPATCH_URL || \"http://127.0.0.1:17882/api/session-memory\";\n" } ], "isError": false, "timestamp": 1778018974636 } }, { "type": "message", "id": "f3d356ed", "parentId": "2287efcf", "timestamp": "2026-05-05T22:09:34.636Z", "message": { "role": "toolResult", "toolCallId": "call_3qVqnLwBgXkULVijZCuZKS5a|fc_0ff3a93ad93b26e40169fa6a9e6ab481978a21995d4dcd87ee", "toolName": "read", "content": [ { "type": "text", "text": "#!/usr/bin/env bash\nset -euo pipefail\n\nJOB_DIR=\"${1:?job dir required}\"\n\n# shellcheck disable=SC1091\nsource \"$JOB_DIR/meta.env\"\n\nmkdir -p \"$JOB_DIR\"\nprintf 'running\\n' > \"$JOB_DIR/status\"\ndate -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$JOB_DIR/started_at\"\n\ncd \"$CWD\"\nPROMPT=\"$(cat \"$JOB_DIR/prompt.txt\")\"\n\nset +e\npi --no-extensions -p \"$PROMPT\" 2>&1 | tee -a \"$JOB_DIR/output.log\"\nPI_EXIT=${PIPESTATUS[0]}\nset -e\n\nprintf '%s\\n' \"$PI_EXIT\" > \"$JOB_DIR/exit_code\"\ndate -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$JOB_DIR/finished_at\"\n\nif [[ \"$PI_EXIT\" -eq 0 ]]; then\n printf 'succeeded\\n' > \"$JOB_DIR/status\"\nelse\n printf 'failed\\n' > \"$JOB_DIR/status\"\nfi\n\nexit \"$PI_EXIT\"\n" } ], "isError": false, "timestamp": 1778018974636 } }, { "type": "message", "id": "6fd6d299", "parentId": "f3d356ed", "timestamp": "2026-05-05T22:09:34.641Z", "message": { "role": "toolResult", "toolCallId": "call_qvUiqMfplp5Rp0o1e9Zvb9CE|fc_0ff3a93ad93b26e40169fa6a9e6abc81979cddb4e3c62a89e5", "toolName": "read", "content": [ { "type": "text", "text": "{\n \"lastChangelogVersion\": \"0.71.0\",\n \"defaultProvider\": \"openai-codex\",\n \"defaultModel\": \"gpt-5.4\",\n \"defaultThinkingLevel\": \"low\",\n \"enabledModels\": [\n \"openai-codex/gpt-5.4\",\n \"google-gemini-cli/gemini-3-flash-preview\",\n \"openai-codex/gpt-5.4-mini\",\n \"nvidia/nvidia/nemotron-4-340b-instruct\",\n \"nvidia/minimaxai/minimax-m2.7\",\n \"openrouter/nvidia/nemotron-3-super-120b-a12b:free\",\n \"openrouter/qwen/qwen3-coder:free\"\n ],\n \"treeFilterMode\": \"user-only\",\n \"packages\": [\n \"git:github.com/apmantza/pi-free\",\n \"npm:pi-btw\",\n \"../../../home/sebas/.agents/extensions/resume-hint/resume-hint.js\",\n \"npm:pi-session-switch\",\n \"npm:@juicesharp/rpiv-todo\",\n \"npm:@llblab/pi-telegram\"\n ]\n}" } ], "isError": false, "timestamp": 1778018974636 } }, { "type": "message", "id": "cb894872", "parentId": "6fd6d299", "timestamp": "2026-05-05T22:09:44.247Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Designing a loop script**\n\nI might need to use the pi CLI to create a script that loops while taking prompts from arguments. It seems helpful to store prior outputs and reinforce previous work until the task is complete. I could design it to prepend an iteration header and include a summary of the last output. Sharing state through a git repo might help, so I’ll make the script in the `bin` folder, checking for optional arguments like `-n`, `-C`, or `--model`.\n\n**Inspecting existing scripts**\n\nI should take a closer look at the current scripts in the bin directory to see their style. It’s important to ensure consistency in formatting and functionality. I'll examine things like naming conventions, comment usage, and general structure. This way, I can make sure that any new scripts I create will align well with the existing ones. By doing this, I'll maintain a cohesive look and feel in the entire project. Let's dive in!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6a9fd9a08197a47f75dc2c70cb92\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mqo9rjQtqAE5xS8zc7HxX5f3kVX7WrLERBAs9kW5cNfFu8siCzA94Rz0rXrnY6s-OvUkmt7pUaqtx5Z-iQXTJ17YYZRMAUB28SQux4hZ1LvzJeUpwpPQsINNT1JNJq_YBXRgHARh2PaTC58CzE1RvOEzN1ovAg75jnf-vbMnYNwZBGre0GVyXjcqXQ6EVhYJEZNP-ZMQHxQyCF8yhI6Df-adcfOQWblG79br-mscNJDjshYLg9ZOTngDx3Z1VO2pUvD165KEMiR5sJdXzDUAd0aYn6BlNVVrPlv1J-_7_jcdgdKWT_nBHlCT4lBMoh3wfhjVIm-1Fkc2J9p-GXRWatW5oKV91mzJrDXSLdcYKDBGhDua6pKXa2seR8V8FDIdWTYhE9TbCm_lmwEda--kP6ykKM_bPx4KnK5hehULuAQQ-uVXDJyduPPr7oNxqMwlGcejPgKICRl_jjHIIK5egHg6mgFayhYg0_B_9ee7Jo-1AuonVioWt1zwE0liOuR7jSVVAB5RPu26bh0tzjNLTu9mb_VdUA78OOtZOVmifL5EjyI0RtD8SNJhdN6vivbgN5dxroIYmn7DSHz-NhLzX5zoiPszg-ti5JkhX13jeIJmM4WJnhuQYSj6F5JTWJ8uI212cvGP75mTwmPZ8tFlqz7cmxMYWhT_XbfD31cC6eEmuMDbCT2oQBaUDwMrj1nT4N1ZX1oNUruoWCqZySjmEgUJePsJJIzeyHK3NpFXt7wYv0IGki7JSBOKtIQSEFtrKIw8aAKLgA6FnajXqrQ7vzIerYmKzu-OoN8cHbTZGbeHal7-LA3X_hri5eqDBDqo9HlcpGjUCMKxEx7qPI6Vn67DrY2sGLeSYADSC5qYppjqwDgRSWTo8MiqBTAKSjV_5_dwGHBDYRo6grLmAtVDQj5eeKTR_lgYay9tvukRs7eRCMiRF6Vn2isbPl3P_rGYcoofkvcWGBR8LG1UViiv6QoVRL4PuQFbLUfH6HjCyz96rVUs9hong4bZhbPetEDiY9GEo3p4GQTjyR2A8Jd5bpVGGw7eMsmmH32JNm4TZG0lqSwUO6pilb1Itp0MZTgdkm4k2cLPq58TdS3pp_l7L2edSrS7FFv6oM_vJX9rptWlB1XFbcHX5QBrX0SgEICCGXzomevSLhmWvGFvTRt_8k0BSMOHTeJv2h9H_rI9WiD8Ni8PuWzPbDC67UTzbCBFnln57uiFnkNVFxZHg-tCql5KUG06Dbs_jQjDYOcAmHwX9-Bom3VJAXWsgt4ENT2lzTp3JD01P1H6aQzx7DRV8jSHx8fr9Wuun9GXp_lujtg9Cud7mkSGJemmuu7lvas2xrx9fWS5TrKE3glgCIO0Kh255qlDTdG65M7DX7cI3mW-70Kr62Kh2PSvCsKF7vZCJi8kvO6_uZVCGnpCv-6JGeQDr5smT8dHMtB29F4P8EioVgm2edOIpr327D2YP127xf-o9etzDm_MyNEOewpSSlBoqNzkqpGUbhEEgqeWlufLS0nLbvrhA4BO26t2wBrgOQMaiT6bwtj5nozS-97zxZ8y4ZCLcrHnTp1u7dEON-ABLjl4nhMeNYbwkFxKkSJMlWKCHKSyh5YyqEzt8WYh92Pf5pqyeWJGGnZX_n1DRLs9jiChPBv-gfHoSecnesCiMTX-tlSx_evdrzRxTcZU_yeaLR7uEL-GyUUU7DtjSct7A5MyMssxZ44fY9xzwUzWKxdoOg0ASSYiwg5cEbFBu7HpbGwRlue_YDET3H1CyjlWMVmjkFY-n-RRFCvxEtKkPaUAdgOGKWGdWbfi3Umj4oEpOdKjUf9CYOhEbdGBFfpbGBAlDenXlNH7Wa0lflwfD62gZ6C6PFtLn4Us9llZcJWq4O74l7qG5MAB9vlFEG98Soa4EhhxHa7qyhlh1fevr-ytIKY0n27QC56yg_PdRniwCWfMeVDsNY-QinmtRx07G1UiWRVwl3TijxQrBwVOfy8GUMSxEiWMYA44vZAVGgtUZ5WvuZdPd6s_PYSdZIzIngkas_-VLE5EzwNzVA01KwLIpwpQQmXTY06-f030DcNNTc3QLe43bt5EbmBo4L8ZbNjBsArlD6w2_2GRWJibS7ap3OpiAx6fY_NOwZJ6U3ehPhsNSyGKQQSI2nwAkVtmrFPzLbzEc911ioRA3EALh_Z86eT8d18pga0Nwesoo02wxtyHU1jrfIn2eC2vTEi9TpO-twwkZ6Eo0Tb4k8wbZQH\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Designing a loop script**\\n\\nI might need to use the pi CLI to create a script that loops while taking prompts from arguments. It seems helpful to store prior outputs and reinforce previous work until the task is complete. I could design it to prepend an iteration header and include a summary of the last output. Sharing state through a git repo might help, so I’ll make the script in the `bin` folder, checking for optional arguments like `-n`, `-C`, or `--model`.\"},{\"type\":\"summary_text\",\"text\":\"**Inspecting existing scripts**\\n\\nI should take a closer look at the current scripts in the bin directory to see their style. It’s important to ensure consistency in formatting and functionality. I'll examine things like naming conventions, comment usage, and general structure. This way, I can make sure that any new scripts I create will align well with the existing ones. By doing this, I'll maintain a cohesive look and feel in the entire project. Let's dive in!\"}]}" }, { "type": "toolCall", "id": "call_aeK5YWzgdJcqt3vQDel4TI7t|fc_0ff3a93ad93b26e40169fa6aa818a08197b1406eadb4de7275", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-job-start", "offset": 1, "limit": 260 } }, { "type": "toolCall", "id": "call_FPMuiRMlo0HxK1aqk2oNc9s8|fc_0ff3a93ad93b26e40169fa6aa818b88197b26923856f382826", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-job-check", "offset": 1, "limit": 220 } }, { "type": "toolCall", "id": "call_9m4WlQEGnCv7F6vmmehXU6vD|fc_0ff3a93ad93b26e40169fa6aa818c0819794f460baa3d2777a", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-job-list", "offset": 1, "limit": 220 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1476, "output": 305, "cacheRead": 16896, "cacheWrite": 0, "totalTokens": 18677, "cost": { "input": 0.00369, "output": 0.004575, "cacheRead": 0.0042239999999999995, "cacheWrite": 0, "total": 0.012489 } }, "stopReason": "toolUse", "timestamp": 1778018974637, "responseId": "resp_0ff3a93ad93b26e40169fa6a9ef50081979b44318ea6769724" } }, { "type": "message", "id": "bb875c82", "parentId": "cb894872", "timestamp": "2026-05-05T22:09:44.256Z", "message": { "role": "toolResult", "toolCallId": "call_aeK5YWzgdJcqt3vQDel4TI7t|fc_0ff3a93ad93b26e40169fa6aa818a08197b1406eadb4de7275", "toolName": "read", "content": [ { "type": "text", "text": "#!/usr/bin/env bash\nset -euo pipefail\n\nusage() {\n cat <<'EOF'\nUsage:\n pi-job-start --cwd PATH --prompt TEXT [--name SLUG] [--runtime-root DIR]\n pi-job-start --cwd PATH --prompt-file FILE [--name SLUG] [--runtime-root DIR]\nEOF\n}\n\nslugify() {\n printf '%s' \"$1\" | tr '[:upper:]' '[:lower:]' | sed -E 's/[^a-z0-9]+/-/g; s/^-+//; s/-+$//; s/-+/-/g'\n}\n\nCWD=\"\"\nPROMPT=\"\"\nPROMPT_FILE=\"\"\nNAME=\"job\"\nRUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\n\nwhile [[ $# -gt 0 ]]; do\n case \"$1\" in\n --cwd) CWD=\"$2\"; shift 2 ;;\n --prompt) PROMPT=\"$2\"; shift 2 ;;\n --prompt-file) PROMPT_FILE=\"$2\"; shift 2 ;;\n --name) NAME=\"$2\"; shift 2 ;;\n --runtime-root) RUNTIME_ROOT=\"$2\"; shift 2 ;;\n -h|--help) usage; exit 0 ;;\n *) echo \"Unknown arg: $1\" >&2; usage >&2; exit 1 ;;\n esac\ndone\n\nif [[ -z \"$CWD\" ]]; then\n echo \"--cwd required\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT\" && -n \"$PROMPT_FILE\" ]]; then\n echo \"Use either --prompt or --prompt-file, not both\" >&2\n exit 1\nfi\nif [[ -z \"$PROMPT\" && -z \"$PROMPT_FILE\" ]]; then\n echo \"Prompt required\" >&2\n exit 1\nfi\nif [[ ! -d \"$CWD\" ]]; then\n echo \"cwd not found: $CWD\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT_FILE\" && ! -f \"$PROMPT_FILE\" ]]; then\n echo \"prompt file not found: $PROMPT_FILE\" >&2\n exit 1\nfi\n\nmkdir -p \"$RUNTIME_ROOT/jobs\"\nSTAMP=\"$(date -u +%Y%m%dT%H%M%SZ)\"\nSLUG=\"$(slugify \"$NAME\")\"\n[[ -n \"$SLUG\" ]] || SLUG=\"job\"\nJOB_ID=\"$STAMP-$SLUG\"\nJOB_DIR=\"$RUNTIME_ROOT/jobs/$JOB_ID\"\nSESSION=\"pi-job-$JOB_ID\"\nmkdir -p \"$JOB_DIR\"\n\nCWD_ABS=\"$(cd \"$CWD\" && pwd)\"\nRUNNER_PATH=\"$(cd \"$(dirname \"$0\")\" && pwd)/pi-job-runner\"\n\ncat > \"$JOB_DIR/meta.env\" < \"$JOB_DIR/prompt.txt\"\nfi\n\nprintf 'queued\\n' > \"$JOB_DIR/status\"\n: > \"$JOB_DIR/output.log\"\n\nCMD=$(printf '%q %q' \"$RUNNER_PATH\" \"$JOB_DIR\")\ntmux new-session -d -s \"$SESSION\" -c \"$CWD_ABS\" \"$CMD\"\nTMUX_PID=\"$(tmux list-sessions -F '#{session_name} #{session_pid}' | awk -v s=\"$SESSION\" '$1==s {print $2}')\"\n\ncat <&2; usage >&2; exit 1 ;;\n *)\n if [[ -z \"$JOB_ID\" ]]; then JOB_ID=\"$1\"; shift\n else echo \"Unexpected arg: $1\" >&2; exit 1; fi ;;\n esac\ndone\n\nif [[ -z \"$JOB_ID\" ]]; then\n usage >&2\n exit 1\nfi\n\nJOB_DIR=\"$RUNTIME_ROOT/jobs/$JOB_ID\"\nif [[ ! -d \"$JOB_DIR\" ]]; then\n echo \"job not found: $JOB_ID\" >&2\n exit 1\nfi\n\n# shellcheck disable=SC1091\nsource \"$JOB_DIR/meta.env\"\nSTATUS=\"$(cat \"$JOB_DIR/status\" 2>/dev/null || echo unknown)\"\nEXIT_CODE=\"$(cat \"$JOB_DIR/exit_code\" 2>/dev/null || true)\"\nSTARTED_AT=\"$(cat \"$JOB_DIR/started_at\" 2>/dev/null || true)\"\nFINISHED_AT=\"$(cat \"$JOB_DIR/finished_at\" 2>/dev/null || true)\"\nif tmux has-session -t \"$SESSION\" 2>/dev/null; then\n TMUX_ALIVE=yes\nelse\n TMUX_ALIVE=no\nfi\n\ncat </dev/null || true\n" } ], "isError": false, "timestamp": 1778018984256 } }, { "type": "message", "id": "b62fc916", "parentId": "de9cb004", "timestamp": "2026-05-05T22:09:44.259Z", "message": { "role": "toolResult", "toolCallId": "call_9m4WlQEGnCv7F6vmmehXU6vD|fc_0ff3a93ad93b26e40169fa6aa818c0819794f460baa3d2777a", "toolName": "read", "content": [ { "type": "text", "text": "#!/usr/bin/env bash\nset -euo pipefail\n\nRUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\nif [[ \"${1:-}\" == \"--runtime-root\" ]]; then\n RUNTIME_ROOT=\"$2\"\nfi\n\nshopt -s nullglob\nfor JOB_DIR in \"$RUNTIME_ROOT\"/jobs/*; do\n [[ -d \"$JOB_DIR\" ]] || continue\n JOB_ID=\"$(basename \"$JOB_DIR\")\"\n # shellcheck disable=SC1091\n source \"$JOB_DIR/meta.env\"\n STATUS=\"$(cat \"$JOB_DIR/status\" 2>/dev/null || echo unknown)\"\n if tmux has-session -t \"$SESSION\" 2>/dev/null; then\n TMUX_ALIVE=yes\n else\n TMUX_ALIVE=no\n fi\n printf '%s\\t%s\\t%s\\t%s\\n' \"$JOB_ID\" \"$STATUS\" \"$TMUX_ALIVE\" \"$CWD\"\ndone | sort\n" } ], "isError": false, "timestamp": 1778018984256 } }, { "type": "message", "id": "5c8ab872", "parentId": "b62fc916", "timestamp": "2026-05-05T22:10:27.773Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Planning pi loop script**\n\nI need to write a script, perhaps called `bin/pi-loop`. Testing might not be necessary, but I should document everything and ensure robust implementation. I’m considering CLI options for the pi command, probably looking into `--help`. Using it with `--no-extensions -p`, I’ll allow extra arguments with `--`. Logs should be maintained under `/mnt/rpi` to keep growing artifacts. I’ll plan for temporary storage in `/mnt/rpi/pi-loop-runs`, and finalize the behavior details.\n\n**Continuing progress on script**\n\nI shouldn’t stop even if prior work is complete; I need to inspect, verify, and refine to keep progressing. After that, I’ll include the user’s prompt, and if it’s not the first iteration, I might append previous output as a truncated tail. It's important to preserve the same prompt since the user asked for it consistently, adding an extra message. I’m leaning towards defaulting to stop on failures to prevent multiple broken sessions, but I might implement a `--keep-going` option. I’ll create the script and consider including a quick note in the README, though it might not be necessary.", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6aa9bcd081979d7436797a98839e\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mqzVGX4WAypA1zn3iJ0bIlcNj2SodGARFkQyUWtMpRIS9L04UTImC7Eze9dYj3PMscRnu-i_nXx_mV07ZhBefhLULLzaafDY0MkTZOaqqDPJNR6-bt0fMUFdIRr5QjCBlkOiCaX_7PfpLG3q8GxEL74Ts8FCqOqe-oEbxRtQ8jIOllYd55VL5LOC__9qNm3uZxYJjjiI3Gahbr2uV_9xnw-L2mcNKdZ4lwGhNVQT-ic1DHf6erTzPZzbTuurBq2WN9OPhJF_V9P3w69k5SX_YeyPf7Mdn4sX_L7MLxoO-0Dndk41EV15bUb0XyFmb88rSKfZSXsgGG4sO-T019uOKUmPqBCNETbK8YmZy80S0adKVQBm5IUNlVEHEtT4ENKzQwFEiiaT2taxxTds0k-Crsm_81Luv1-qTMg5irigDFqQE_TXx1wEOBv2SsN-_HBT8Sl70GYHLrmlZjyvit3qFrCPJY16yOOQ1JFzW-H4IlODarj7jinw-NeAWwtdCXj5f9BbB_-LyETXzmrOw3p3bZb5MvU-aQ_Bww8jLZKC44W3-P3IwDReskvVd_H7qqlL9W1JY6yFbe4BRtmi2kt2hc9fcufr5lSu5dFOstKhYYuRcKZzImYrIWyDp8bBWVbqn0hsPKfVoklgnNpT7xQxmOH2DNRZDT6R040N5vX8l74Q_gr3gbRmuxFlf0iz9OOhDqEFBpjoh_Lc4FuBqOpZl1AzFz5qJ4O4YuxZhDvYrpYsXWwh8O4KhED7z3TyVwAlh4_Fvh7AdIT434gu9NMyCNGvClZdNOCvmHDAnP1FkAk41u7b2h77fFR0mjY8DIj2PY5jw1UgBkzb5aUCm7k7Vt-HRdDEeE1P2Al_JsFlDGVPRqXIJ8mFT0EiSHoyBgc6-zA3ddRTcjhNcUvlq_hIAG9JljlG0N3x1iUmn9lDKzq4L8kMglX-FQFBQ5iwNd5ks_d-J1CgE32KoNF12B8Kq7Yg8hl_hLUP3jr2wLXApODfeWxCFyCXqk7S8Q08qn6pZ4S6Fx9l0HEDpnzt05LSlKVVJPHk_LT1DAMZamr9AZF2dJ4Fqk1qupptqVaJmJY7xpKSVFepem1ik7L6qKQW9mSye589ODboi5tBwTE3XQhyaa2QNN0o9H9I9e_J09Z2M5qc7UmD2M8LfJLRK_VhY3phJkiALJ4aNgD0JCiLyJTKuTQLWHw8Oaxn6H_wvWQczmBqJDoU6vF6Ev6pMLNTDneYzIUwc5Y90QnN2auF39hRVLGd7qJIYXwvPH-iY63N4g8dyWVAes_iPtmehSRRb9aMJy2eyQs8qGpeM14qSBBvkUOdo9U8knEQTU1V1RAONMsLBPKsB76D2dhA5RSpJEMZ1-xq19NylfFpgb6af-E8-s0LIs1eTFXLrkND4QZZJcY5cDBfWpXVDRpLppznEAtxR0l5-rsIHC9lwe29ro4NyZrJcd1tDRWQdBqNuxAGL1QbnYsXMNPeZCwnnKLE-IcVeZk_ABbIvlp7rMFQmZVUxfIgte1-6pllyxfubWWtNg4caMn8eXAiHx364oIe6CxDRlSdCjwrY9GLOSKY0pMV6m6AmM5d3U84IaH0ErubpOyhiyXIYtEo2oYrTWl0ZuhMJTD6PR6fSiAU2HER8dTm6e1zCla2_QhtaBXwD0I5TH_kXDUFdfSjM96XQOJ-4X-ygg7H-MB3mwIYdKKiYG5aLmcF-0JEKdJln3RtxxUogTJnmeTprDJuzjf9-DChKJwBJV8aR2aDWG_hyc8sS83HMgMQ_SxkMDPn06vFAjZSy_7qOEmLbxQcIfrzAk-GmbjVwCgsA4Fl9r_-57uFn1dA_DjQM5FLHXwA-C6GNAQrG9reRwg86szUNikyxkDOQE-pgrFyHFCzM4LfF4mEYf1yQ4w4QB0sHmNo9be-yGPSEDjuEQpEKe8Wlz8WB4TgdHJeV153B1p7bs1PxEmBgQoMKx0J0v6CIxJQaHsNgYlmKwCcjtVj4UY057XHEhbQvh6lCH3U0rEvAAg6sGFfVuA-sdOubabXI7Ut-87RzAmlp6t_cQPGdPihoYucitxFMfE84lhO1W6Pt3qIyjRtO2HCcyiY87SZWPneauxXNK0O2oWWwzR0gQ5slj-un6OWwsQDGcuVTwZ6LbkqhdgR1kBTgpb4wJ1YvHdeKuutu94Y6DIhxsO1xFPiia1CpDVH1HewG2LKzCSNpiMLN8t1G0thGkA28GOqPPc_vNU4k1GjzHKQUAvlhUkiO0SUBO2l85tAljAa1zXze4R35TliWG7qlYSUjfyKJk9hx-AJrhvDUwzkeeSwrFfgDbqSFiF_Lj--bN1jQyup2q-DMa5Y5FLlY8Xi6f5ckvYPi4plcVWsIO4JHhGmmHgJojVtq4eL-Notj0flwD2k0pTFAK10v3AzPw8U24k1prMJMoPceB4Yudt-Xpc9AfMSSGwYnIvJk5eiUBgMx5wCUsiCnp_E2glEcy7P4-ETRDRcJeCSmgCsBpa5sHD0mBh0KKaGadMQN7xJM-biYVp7XE5EMi2L-hSETwTABvGpiKhEPE9m4_90S2hN5MxUACuXM_QnXscFnI-Q0vt4yuQe5TjZuy6U-VAkb8UO_r1GZIXN6EKSAvqnATAI7vrWvDZnEsidrbe0tdNLjAmWCjNVcSSRl4zIEQvP_VG6bVeHkuTLRZ9XhbBCXYamV8j7ut9apIbOCM5LSjXfolLp3NzG4k1s9lu9BkwqeG8ePL0PW9GEy3H-vPLK95o70Yi175oOqeauwSlFL4sRmpj46Fmn_7EPoTsRMis3t5vwIg1u86scfWqGU7MgP4fpreAfmgqOZxaNRfRZ2IW81zNzi--7zUyCGKt6Lh5brKT0xBVxDi_JHAhWDaPEI0byuZc5ERzUbMw1w2Pj-GiiD8KaDOMbIVbifntZB2tbfJfXf8E2kr6ki1KGchuwkKOUhl_j6VbCy5QG70wB3hamIb9VIgAlBeaC7m52YC5NEiDo8xoHvJ5O959MI1fXpIZ1d5PmiESGw6iBxFunC-UrEIzOaZdhMG-w6NMuOl4Xa7P2eG5Ld9PYpPRc8x1YQrIRKYJGLIvexw6sGdkUnTciBpUQidIgnKPdKH6UXzL_UFsUPfHFz-AdOVh_-C2hDTmEZEd765QsGOFQoQcODe0rZ_Df2LbsA8J2z1zOqIiq4w=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning pi loop script**\\n\\nI need to write a script, perhaps called `bin/pi-loop`. Testing might not be necessary, but I should document everything and ensure robust implementation. I’m considering CLI options for the pi command, probably looking into `--help`. Using it with `--no-extensions -p`, I’ll allow extra arguments with `--`. Logs should be maintained under `/mnt/rpi` to keep growing artifacts. I’ll plan for temporary storage in `/mnt/rpi/pi-loop-runs`, and finalize the behavior details.\"},{\"type\":\"summary_text\",\"text\":\"**Continuing progress on script**\\n\\nI shouldn’t stop even if prior work is complete; I need to inspect, verify, and refine to keep progressing. After that, I’ll include the user’s prompt, and if it’s not the first iteration, I might append previous output as a truncated tail. It's important to preserve the same prompt since the user asked for it consistently, adding an extra message. I’m leaning towards defaulting to stop on failures to prevent multiple broken sessions, but I might implement a `--keep-going` option. I’ll create the script and consider including a quick note in the README, though it might not be necessary.\"}]}" }, { "type": "toolCall", "id": "call_PQ3a88xXLS1y8Shp8iOBA4Ld|fc_0ff3a93ad93b26e40169fa6ab3a49081979e466ac0dab0145c", "name": "write", "arguments": { "path": "/home/sebas/pi-config/bin/pi-loop", "content": "#!/usr/bin/env bash\nset -euo pipefail\n\nusage() {\n cat <<'EOF'\nUsage:\n pi-loop --count N --prompt TEXT [options]\n pi-loop --count N --prompt-file FILE [options]\n\nOptions:\n --count N Number of iterations. Required.\n --prompt TEXT Base prompt. Required unless --prompt-file is used.\n --prompt-file FILE Read base prompt from file.\n --cwd DIR Working dir for pi. Default: current dir.\n --model MODEL Pass --model to pi.\n --thinking LEVEL Pass --thinking to pi.\n --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n --tail-lines N Prior output lines injected into next prompt. Default: 120.\n --keep-going Continue loop even if one iteration fails.\n --no-extensions Pass --no-extensions to pi. Default: on.\n --allow-extensions Do not pass --no-extensions.\n -h, --help Show help.\n\nExamples:\n pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n pi-loop --count 10 --prompt-file ./task.txt --model gpt-5.4-mini\nEOF\n}\n\nCOUNT=\"\"\nPROMPT=\"\"\nPROMPT_FILE=\"\"\nCWD=\"$(pwd)\"\nMODEL=\"\"\nTHINKING=\"\"\nTAIL_LINES=120\nKEEP_GOING=0\nDISABLE_EXTENSIONS=1\nSTAMP=\"$(date -u +%Y%m%dT%H%M%SZ)\"\nOUTPUT_DIR=\"/mnt/rpi/pi-loop-runs/$STAMP\"\n\nwhile [[ $# -gt 0 ]]; do\n case \"$1\" in\n --count) COUNT=\"$2\"; shift 2 ;;\n --prompt) PROMPT=\"$2\"; shift 2 ;;\n --prompt-file) PROMPT_FILE=\"$2\"; shift 2 ;;\n --cwd) CWD=\"$2\"; shift 2 ;;\n --model) MODEL=\"$2\"; shift 2 ;;\n --thinking) THINKING=\"$2\"; shift 2 ;;\n --output-dir) OUTPUT_DIR=\"$2\"; shift 2 ;;\n --tail-lines) TAIL_LINES=\"$2\"; shift 2 ;;\n --keep-going) KEEP_GOING=1; shift ;;\n --no-extensions) DISABLE_EXTENSIONS=1; shift ;;\n --allow-extensions) DISABLE_EXTENSIONS=0; shift ;;\n -h|--help) usage; exit 0 ;;\n *) echo \"Unknown arg: $1\" >&2; usage >&2; exit 1 ;;\n esac\ndone\n\nif [[ -z \"$COUNT\" ]]; then\n echo \"--count required\" >&2\n exit 1\nfi\nif ! [[ \"$COUNT\" =~ ^[1-9][0-9]*$ ]]; then\n echo \"--count must be a positive integer\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT\" && -n \"$PROMPT_FILE\" ]]; then\n echo \"Use either --prompt or --prompt-file, not both\" >&2\n exit 1\nfi\nif [[ -z \"$PROMPT\" && -z \"$PROMPT_FILE\" ]]; then\n echo \"Prompt required\" >&2\n exit 1\nfi\nif [[ ! -d \"$CWD\" ]]; then\n echo \"cwd not found: $CWD\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT_FILE\" ]]; then\n if [[ ! -f \"$PROMPT_FILE\" ]]; then\n echo \"prompt file not found: $PROMPT_FILE\" >&2\n exit 1\n fi\n PROMPT=\"$(cat \"$PROMPT_FILE\")\"\nfi\nif ! [[ \"$TAIL_LINES\" =~ ^[0-9]+$ ]]; then\n echo \"--tail-lines must be a non-negative integer\" >&2\n exit 1\nfi\n\nmkdir -p \"$OUTPUT_DIR\"\nCWD_ABS=\"$(cd \"$CWD\" && pwd)\"\nBASE_PROMPT_FILE=\"$OUTPUT_DIR/base-prompt.txt\"\nprintf '%s\\n' \"$PROMPT\" > \"$BASE_PROMPT_FILE\"\n\ncat > \"$OUTPUT_DIR/run-meta.txt\" < \"$PROMPT_FILE_ITER\"\n\n printf 'running\\n' > \"$STATUS_FILE\"\n date -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$ITER_DIR/started_at.txt\"\n\n set +e\n (\n cd \"$CWD_ABS\"\n pi \"${PI_ARGS[@]}\" -p \"$(cat \"$PROMPT_FILE_ITER\")\"\n ) 2>&1 | tee \"$OUTPUT_FILE\"\n EXIT_CODE=${PIPESTATUS[0]}\n set -e\n\n printf '%s\\n' \"$EXIT_CODE\" > \"$ITER_DIR/exit_code.txt\"\n date -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$ITER_DIR/finished_at.txt\"\n\n if [[ \"$EXIT_CODE\" -eq 0 ]]; then\n printf 'succeeded\\n' > \"$STATUS_FILE\"\n else\n printf 'failed\\n' > \"$STATUS_FILE\"\n FAILURES=$((FAILURES + 1))\n if [[ \"$KEEP_GOING\" -ne 1 ]]; then\n echo \"iteration $i failed with exit code $EXIT_CODE\" >&2\n echo \"run_dir=$OUTPUT_DIR\" >&2\n exit \"$EXIT_CODE\"\n fi\n fi\n\n LAST_OUTPUT_FILE=\"$OUTPUT_FILE\"\ndone\n\necho \"run_dir=$OUTPUT_DIR\"\necho \"iterations=$COUNT\"\necho \"failures=$FAILURES\"\n" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2286, "output": 2241, "cacheRead": 17920, "cacheWrite": 0, "totalTokens": 22447, "cost": { "input": 0.0057150000000000005, "output": 0.033615, "cacheRead": 0.00448, "cacheWrite": 0, "total": 0.043809999999999995 } }, "stopReason": "toolUse", "timestamp": 1778018984257, "responseId": "resp_0ff3a93ad93b26e40169fa6aa8df648197bd36d7e86d1ab273" } }, { "type": "message", "id": "001419a5", "parentId": "5c8ab872", "timestamp": "2026-05-05T22:10:27.785Z", "message": { "role": "toolResult", "toolCallId": "call_PQ3a88xXLS1y8Shp8iOBA4Ld|fc_0ff3a93ad93b26e40169fa6ab3a49081979e466ac0dab0145c", "toolName": "write", "content": [ { "type": "text", "text": "Successfully wrote 5276 bytes to /home/sebas/pi-config/bin/pi-loop" } ], "isError": false, "timestamp": 1778019027785 } }, { "type": "message", "id": "486cb44c", "parentId": "001419a5", "timestamp": "2026-05-05T22:10:31.387Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering executable permissions**\n\nI need to set the correct permissions using `chmod` to make the file executable. I might also want to run a syntax check with `shellcheck` to ensure there aren't any errors in the script. It's good to double-check things like this because it can save a lot of troubleshooting later. Alright, I’ll take care of this and make sure everything runs smoothly!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6ad4cf6c819784fb1a1c586a4d86\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mrXUJ4a0_Cy5EtALTfhM19UziBsLEPmY2KpYs0NoOTGTLF5tZPDZIMw5GPxU2k571G35xTZZV6tID7gZA4bGl9eDKtlglkzpYue46PqQmBMkiqFBmGqPVdNLCIbYhuMiTzUtNubyozftpTCwhoHLfl9YrwGScsdEsbXUhJaj7OQag-PPSWs0HO8Hl5kxpWDcEcJDP0pEsQnewM123IPVfJ0qNUsXVDRUTVMlxN8rKhS5HyuHO9m2AFxLgv-xLhQPBK_BxhSEPtYsd0dcnj8uhH-CE2huVIQoaTl2L1QtMSnUmHKnd4fOUuXgp4Sz4PUqdi4C6-BFHuPYM0V9K7n-DlMm9YZXry25U8Ct6IA-9pNwFyOsyKJPhWS1o7BgS1UBjpOKKVTfwY4T4GpNnEfYJMsrVP-3k4oebX08Eiof3BIToQh0V1bSMHwg6NrQkgdHuaIdDpt6vymWGxi4Cwnd4wfm55PnIYC_HnfBEsMD6l7z7Hn8Jc0z-6XR1HeNAwLDT8QxB09QqLThBrWeNqUv1lG2VjZT9_wpBgfuipmJ1CmWnsz8FSxnqFenqP6bF8qYuFbpqiO9B_00fLwJxrTxjJA1f8jLXglfGmLpVwUcH3ZCX_yXfUxJCmpd0posUYRkPWy4g7WU6K6hSJuHbunt_u6N53d8aVPcWSVljgLAUmRmzlbNQKVH2IkgII58DcJoCLk5syc31IpnBzUIhJlIdGD5F-mM-U92fxSOrwPk6pY9DrrorBStvCch9UiAbIcSYVne6QEK2BeDVHWNX6c9b9m30pamadWO-Kdqx_Rt7Ir-Sg0xQtoYuY5G3tfpzUnCXSIajqX2EiwSihNEiBUvA2PGPy9Wxq2VHaB__ES7PCRYqSlXB0GkmdFrzxDnFgzmz213_vWa173a4NwLAGoTAyNMTpkx5fSVmd69qxT8rG8DpkBHy32APRV8RIHs1qtS_18GidK2ChKHHT5hojfU2-daQ==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering executable permissions**\\n\\nI need to set the correct permissions using `chmod` to make the file executable. I might also want to run a syntax check with `shellcheck` to ensure there aren't any errors in the script. It's good to double-check things like this because it can save a lot of troubleshooting later. Alright, I’ll take care of this and make sure everything runs smoothly!\"}]}" }, { "type": "toolCall", "id": "call_rag56ZOY52wOns1tuy0cVscq|fc_0ff3a93ad93b26e40169fa6ad73a408197bae07c22128a27ed", "name": "bash", "arguments": { "command": "chmod +x /home/sebas/pi-config/bin/pi-loop && bash -n /home/sebas/pi-config/bin/pi-loop && /home/sebas/pi-config/bin/pi-loop --help", "timeout": 20 } }, { "type": "toolCall", "id": "call_yYnlYQjHgW08e8Z94pjA5aN5|fc_0ff3a93ad93b26e40169fa6ad73a508197b753506b5df13f5c", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-loop", "offset": 1, "limit": 260 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2505, "output": 118, "cacheRead": 19968, "cacheWrite": 0, "totalTokens": 22591, "cost": { "input": 0.006262500000000001, "output": 0.00177, "cacheRead": 0.004992, "cacheWrite": 0, "total": 0.013024500000000001 } }, "stopReason": "toolUse", "timestamp": 1778019027786, "responseId": "resp_0ff3a93ad93b26e40169fa6ad41b6081978d912aa3a1aee2c6" } }, { "type": "message", "id": "825f45e9", "parentId": "486cb44c", "timestamp": "2026-05-05T22:10:31.405Z", "message": { "role": "toolResult", "toolCallId": "call_rag56ZOY52wOns1tuy0cVscq|fc_0ff3a93ad93b26e40169fa6ad73a408197bae07c22128a27ed", "toolName": "bash", "content": [ { "type": "text", "text": "Usage:\n pi-loop --count N --prompt TEXT [options]\n pi-loop --count N --prompt-file FILE [options]\n\nOptions:\n --count N Number of iterations. Required.\n --prompt TEXT Base prompt. Required unless --prompt-file is used.\n --prompt-file FILE Read base prompt from file.\n --cwd DIR Working dir for pi. Default: current dir.\n --model MODEL Pass --model to pi.\n --thinking LEVEL Pass --thinking to pi.\n --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n --tail-lines N Prior output lines injected into next prompt. Default: 120.\n --keep-going Continue loop even if one iteration fails.\n --no-extensions Pass --no-extensions to pi. Default: on.\n --allow-extensions Do not pass --no-extensions.\n -h, --help Show help.\n\nExamples:\n pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n pi-loop --count 10 --prompt-file ./task.txt --model gpt-5.4-mini\n" } ], "isError": false, "timestamp": 1778019031404 } }, { "type": "message", "id": "142c6962", "parentId": "825f45e9", "timestamp": "2026-05-05T22:10:31.406Z", "message": { "role": "toolResult", "toolCallId": "call_yYnlYQjHgW08e8Z94pjA5aN5|fc_0ff3a93ad93b26e40169fa6ad73a508197b753506b5df13f5c", "toolName": "read", "content": [ { "type": "text", "text": "#!/usr/bin/env bash\nset -euo pipefail\n\nusage() {\n cat <<'EOF'\nUsage:\n pi-loop --count N --prompt TEXT [options]\n pi-loop --count N --prompt-file FILE [options]\n\nOptions:\n --count N Number of iterations. Required.\n --prompt TEXT Base prompt. Required unless --prompt-file is used.\n --prompt-file FILE Read base prompt from file.\n --cwd DIR Working dir for pi. Default: current dir.\n --model MODEL Pass --model to pi.\n --thinking LEVEL Pass --thinking to pi.\n --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n --tail-lines N Prior output lines injected into next prompt. Default: 120.\n --keep-going Continue loop even if one iteration fails.\n --no-extensions Pass --no-extensions to pi. Default: on.\n --allow-extensions Do not pass --no-extensions.\n -h, --help Show help.\n\nExamples:\n pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n pi-loop --count 10 --prompt-file ./task.txt --model gpt-5.4-mini\nEOF\n}\n\nCOUNT=\"\"\nPROMPT=\"\"\nPROMPT_FILE=\"\"\nCWD=\"$(pwd)\"\nMODEL=\"\"\nTHINKING=\"\"\nTAIL_LINES=120\nKEEP_GOING=0\nDISABLE_EXTENSIONS=1\nSTAMP=\"$(date -u +%Y%m%dT%H%M%SZ)\"\nOUTPUT_DIR=\"/mnt/rpi/pi-loop-runs/$STAMP\"\n\nwhile [[ $# -gt 0 ]]; do\n case \"$1\" in\n --count) COUNT=\"$2\"; shift 2 ;;\n --prompt) PROMPT=\"$2\"; shift 2 ;;\n --prompt-file) PROMPT_FILE=\"$2\"; shift 2 ;;\n --cwd) CWD=\"$2\"; shift 2 ;;\n --model) MODEL=\"$2\"; shift 2 ;;\n --thinking) THINKING=\"$2\"; shift 2 ;;\n --output-dir) OUTPUT_DIR=\"$2\"; shift 2 ;;\n --tail-lines) TAIL_LINES=\"$2\"; shift 2 ;;\n --keep-going) KEEP_GOING=1; shift ;;\n --no-extensions) DISABLE_EXTENSIONS=1; shift ;;\n --allow-extensions) DISABLE_EXTENSIONS=0; shift ;;\n -h|--help) usage; exit 0 ;;\n *) echo \"Unknown arg: $1\" >&2; usage >&2; exit 1 ;;\n esac\ndone\n\nif [[ -z \"$COUNT\" ]]; then\n echo \"--count required\" >&2\n exit 1\nfi\nif ! [[ \"$COUNT\" =~ ^[1-9][0-9]*$ ]]; then\n echo \"--count must be a positive integer\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT\" && -n \"$PROMPT_FILE\" ]]; then\n echo \"Use either --prompt or --prompt-file, not both\" >&2\n exit 1\nfi\nif [[ -z \"$PROMPT\" && -z \"$PROMPT_FILE\" ]]; then\n echo \"Prompt required\" >&2\n exit 1\nfi\nif [[ ! -d \"$CWD\" ]]; then\n echo \"cwd not found: $CWD\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT_FILE\" ]]; then\n if [[ ! -f \"$PROMPT_FILE\" ]]; then\n echo \"prompt file not found: $PROMPT_FILE\" >&2\n exit 1\n fi\n PROMPT=\"$(cat \"$PROMPT_FILE\")\"\nfi\nif ! [[ \"$TAIL_LINES\" =~ ^[0-9]+$ ]]; then\n echo \"--tail-lines must be a non-negative integer\" >&2\n exit 1\nfi\n\nmkdir -p \"$OUTPUT_DIR\"\nCWD_ABS=\"$(cd \"$CWD\" && pwd)\"\nBASE_PROMPT_FILE=\"$OUTPUT_DIR/base-prompt.txt\"\nprintf '%s\\n' \"$PROMPT\" > \"$BASE_PROMPT_FILE\"\n\ncat > \"$OUTPUT_DIR/run-meta.txt\" < \"$PROMPT_FILE_ITER\"\n\n printf 'running\\n' > \"$STATUS_FILE\"\n date -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$ITER_DIR/started_at.txt\"\n\n set +e\n (\n cd \"$CWD_ABS\"\n pi \"${PI_ARGS[@]}\" -p \"$(cat \"$PROMPT_FILE_ITER\")\"\n ) 2>&1 | tee \"$OUTPUT_FILE\"\n EXIT_CODE=${PIPESTATUS[0]}\n set -e\n\n printf '%s\\n' \"$EXIT_CODE\" > \"$ITER_DIR/exit_code.txt\"\n date -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$ITER_DIR/finished_at.txt\"\n\n if [[ \"$EXIT_CODE\" -eq 0 ]]; then\n printf 'succeeded\\n' > \"$STATUS_FILE\"\n else\n printf 'failed\\n' > \"$STATUS_FILE\"\n FAILURES=$((FAILURES + 1))\n if [[ \"$KEEP_GOING\" -ne 1 ]]; then\n echo \"iteration $i failed with exit code $EXIT_CODE\" >&2\n echo \"run_dir=$OUTPUT_DIR\" >&2\n exit \"$EXIT_CODE\"\n fi\n fi\n\n LAST_OUTPUT_FILE=\"$OUTPUT_FILE\"\ndone\n\necho \"run_dir=$OUTPUT_DIR\"\necho \"iterations=$COUNT\"\necho \"failures=$FAILURES\"\n" } ], "isError": false, "timestamp": 1778019031405 } }, { "type": "message", "id": "6eb33384", "parentId": "142c6962", "timestamp": "2026-05-05T22:10:39.854Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering README notes**\n\nI’m thinking about whether to add a README note – maybe it's necessary or maybe not. The user might be asking about a specific mode, but perhaps I shouldn’t focus on that. I should consider mentioning the script path and how to use it. I might also highlight that there’s no defined finish condition. It's a little tricky, but I'll try to clarify that in the documentation.", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6ad8c6ec81978b0adbb7c3196ab6\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mrbGUbh8aE99fA6KcOtM_Xc9KE0t9LlEIxtjq3BGmt8F_yg9sWhJ8oD-zeOsZnzfwx0HSOAfUXfrRRYd5K3-ftnMbYZ7ohs9UYDciwM6osZQfU9FPtRdTi8nzpz8QJRenZcZYf6Z-tjLmX_Lp8I2iTfhEH0EKg3RKgyZG7dZFTURwPH-MRe9Y_YpnnyogDiv51yo1TUbArZerGeMxZ0yEoKBr-fI6xprtekRPs-kg4L8OdbXVJk6lSkq_4ZkmWzVcy97NVjSbz3v_Axp7q60pK3_LkUId4gCWOof9H58i-NU1f0PmAph7apMB7YEh1bNqv9_IlrgQJpgPtTGhhsIJz5OuS9GA-S5l3fAh37iAwbHd6UJRdf6ZkwASVgDt7KxLCj7mpFSqB9ATdwT7nOmrdqAudLHjCb6kwPI14VZvLEFDUCFfKEBhzntawDZGW7DLz-asm2Qar_1xZT9bXG1RhxgpJQapv3CLD9JDmL2Gj_q6DFYRWTCF7SINzNfwX49ASukx-A6r51Q5Wut_yyhkP3LsGoWhd7-idm5C3m44W8IyaUW9hw8xDQQGWhYsXZzFAkwYjKCu3xD8cDXTuA3drZoqM4AOpaIJGSTOIxuYeKhpQqTBQ8ScWbqIhQIZNU7E2L0ooDUtmN7fWQzMrJqN6zQTphVh-XDv6okePNUGSTSAVERSvZjEpr2yk4hmoJPqZX2NBvtNzLAcT6jbUqSOAWBOUaV5avUWA3cBuumgBlz-XtQQw__fraI8LdZUPDmZ0TdcrM9oiTUJ6_FLvPdzcwHA4S2sgFlOim0Wz9pIp1MoGY1Tzhv1QQsVhQFpELUUY_8LWyjLu7YaTnqu27TaQTOgJKmCPfXXVr2XXoUCw8ihvyuhOREMEeu9r5cVJErFrKaDVAj3txyPC8mcjtRbCkrrQomqnD-Ru7EhnLF9GefwK7k_6qTi6Pm9pULGyGmtqZQtW03RVQB7xKPbhBfz0ygeLXmJe0qUW7HIulr1jLYT3U5j5aEbBlyeS9Ypd3p2uKwt6BY-f32NLzMQOJNVjaJJBvsTJjOR5Q1ORDc9r5DHaMFU09tKNzWUftvbvW-tj6XKB-8K5WOcigXeJSFKYc6-1RcDlfevSMMB_ANsUfQ1LpM_5DLZ402VJGJqlpiwvY\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering README notes**\\n\\nI’m thinking about whether to add a README note – maybe it's necessary or maybe not. The user might be asking about a specific mode, but perhaps I shouldn’t focus on that. I should consider mentioning the script path and how to use it. I might also highlight that there’s no defined finish condition. It's a little tricky, but I'll try to clarify that in the documentation.\"}]}" }, { "type": "text", "text": "Listo.\n\nScript:\n- `~/pi-config/bin/pi-loop`\n\nHace:\n- corre `pi` N veces\n- usa el mismo prompt base\n- prepend de contexto de loop con número de iteración\n- inyecta tail de la salida anterior en la siguiente iteración\n- trabaja sobre el mismo repo/dir, así cada sesión hereda cambios previos\n- no tiene condición de finalización temprana\n\nUso:\n```bash\n~/pi-config/bin/pi-loop \\\n --count 10 \\\n --cwd /ruta/al/repo \\\n --prompt \"Tu tarea acá\"\n```\n\nCon archivo:\n```bash\n~/pi-config/bin/pi-loop \\\n --count 10 \\\n --cwd /ruta/al/repo \\\n --prompt-file ./prompt.txt\n```\n\nOpciones útiles:\n```bash\n--model gpt-5.4-mini\n--thinking low\n--tail-lines 120\n--keep-going\n--allow-extensions\n```\n\nArtefactos:\n- guarda todo en `/mnt/rpi/pi-loop-runs//`\n- por iteración:\n - `prompt.txt`\n - `output.log`\n - `status.txt`\n - `started_at.txt`\n - `finished_at.txt`\n - `exit_code.txt`\n\nEjemplo real:\n```bash\n~/pi-config/bin/pi-loop \\\n --count 5 \\\n --cwd /home/sebas/ballbox \\\n --prompt \"Seguí iterando sobre esta tarea hasta dejarla lo mejor posible.\"\n```\n\nSi querés, siguiente paso: lo adapto para correr cada iteración en tmux y dejarlo desacoplado.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169fa6adb44ec8197ab3c4777e5bfb35e\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2497, "output": 382, "cacheRead": 22016, "cacheWrite": 0, "totalTokens": 24895, "cost": { "input": 0.006242500000000001, "output": 0.00573, "cacheRead": 0.005503999999999999, "cacheWrite": 0, "total": 0.0174765 } }, "stopReason": "stop", "timestamp": 1778019031406, "responseId": "resp_0ff3a93ad93b26e40169fa6ad811b48197a4e62d84c4ff2b91" } }, { "type": "message", "id": "5f51bd77", "parentId": "6eb33384", "timestamp": "2026-05-05T22:11:10.481Z", "message": { "role": "user", "content": [ { "type": "text", "text": "Probemosla con un prompt muy fácil y tres iteraciones" } ], "timestamp": 1778019070475 } }, { "type": "message", "id": "bf83f42e", "parentId": "5f51bd77", "timestamp": "2026-05-05T22:11:14.282Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_nVkA7dcE59cV6ODQY1krLsaL|fc_0ff3a93ad93b26e40169fa6affa6ec8197a75a58220f040a5c", "name": "bash", "arguments": { "command": "set -euo pipefail\nmkdir -p /tmp/pi-loop-test\ncat > /tmp/pi-loop-test/prompt.txt <<'EOF'\nCreate or update a file named loop-test.txt in the current working directory. Append one short line that states which iteration you believe this is, based on the prompt context. Keep changes minimal.\nEOF\n/home/sebas/pi-config/bin/pi-loop --count 3 --cwd /tmp/pi-loop-test --prompt-file /tmp/pi-loop-test/prompt.txt --model gpt-5.4-mini --thinking low --tail-lines 80 --keep-going", "timeout": 1800 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 20603, "output": 144, "cacheRead": 3584, "cacheWrite": 0, "totalTokens": 24331, "cost": { "input": 0.051507500000000005, "output": 0.00216, "cacheRead": 0.000896, "cacheWrite": 0, "total": 0.05456350000000001 } }, "stopReason": "toolUse", "timestamp": 1778019070476, "responseId": "resp_0ff3a93ad93b26e40169fa6afebf2c8197b95d0c97ef8b8060" } }, { "type": "message", "id": "205f8d9a", "parentId": "bf83f42e", "timestamp": "2026-05-05T22:11:18.191Z", "message": { "role": "toolResult", "toolCallId": "call_nVkA7dcE59cV6ODQY1krLsaL|fc_0ff3a93ad93b26e40169fa6affa6ec8197a75a58220f040a5c", "toolName": "bash", "content": [ { "type": "text", "text": "Warning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\nrun_dir=/mnt/rpi/pi-loop-runs/20260505T221114Z\niterations=3\nfailures=3\n" } ], "isError": false, "timestamp": 1778019078191 } }, { "type": "message", "id": "1df2fffa", "parentId": "205f8d9a", "timestamp": "2026-05-05T22:11:22.181Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_3zEG5o6olR6wkiYKybTC695W|fc_0ff3a93ad93b26e40169fa6b0a0a548197ac8954b1daebbbb7", "name": "bash", "arguments": { "command": "find /mnt/rpi/pi-loop-runs/20260505T221114Z -maxdepth 2 -type f | sort | xargs -I{} sh -c 'echo \"===== {}\"; sed -n \"1,120p\" \"{}\"; echo'", "timeout": 60 } }, { "type": "toolCall", "id": "call_lCTZbZsB8uIOE8cNG7X0EbSX|fc_0ff3a93ad93b26e40169fa6b0a0a608197ba6f05cd85c5a16b", "name": "bash", "arguments": { "command": "ls -la /tmp/pi-loop-test && if [ -f /tmp/pi-loop-test/loop-test.txt ]; then echo '===== loop-test.txt'; cat /tmp/pi-loop-test/loop-test.txt; fi", "timeout": 20 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 717, "output": 155, "cacheRead": 24064, "cacheWrite": 0, "totalTokens": 24936, "cost": { "input": 0.0017925, "output": 0.0023250000000000002, "cacheRead": 0.006016, "cacheWrite": 0, "total": 0.0101335 } }, "stopReason": "toolUse", "timestamp": 1778019078192, "responseId": "resp_0ff3a93ad93b26e40169fa6b067c6c81978b2d4a10b2631565" } }, { "type": "message", "id": "e44ae3bb", "parentId": "1df2fffa", "timestamp": "2026-05-05T22:11:22.235Z", "message": { "role": "toolResult", "toolCallId": "call_3zEG5o6olR6wkiYKybTC695W|fc_0ff3a93ad93b26e40169fa6b0a0a548197ac8954b1daebbbb7", "toolName": "bash", "content": [ { "type": "text", "text": "===== /mnt/rpi/pi-loop-runs/20260505T221114Z/base-prompt.txt\nCreate or update a file named loop-test.txt in the current working directory. Append one short line that states which iteration you believe this is, based on the prompt context. Keep changes minimal.\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-001/exit_code.txt\n1\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-001/finished_at.txt\n2026-05-05T22:11:15Z\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-001/output.log\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-001/prompt.txt\nLoop controller note.\nYou are running inside a repeated multi-session loop.\nThis is iteration 1 of 3.\nOther iterations may already have changed files in the working tree.\nUse the current repo state as source of truth.\nPush the task forward as much as possible.\nIf most core work is already done, verify, refine, fix gaps, tighten docs, or improve the result.\nDo not stop early just because prior sessions may have already done the main coding work.\n\nTask prompt.\n---\nCreate or update a file named loop-test.txt in the current working directory. Append one short line that states which iteration you believe this is, based on the prompt context. Keep changes minimal.\n---\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-001/started_at.txt\n2026-05-05T22:11:14Z\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-001/status.txt\nfailed\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-002/exit_code.txt\n1\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-002/finished_at.txt\n2026-05-05T22:11:16Z\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-002/output.log\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-002/prompt.txt\nLoop controller note.\nYou are running inside a repeated multi-session loop.\nThis is iteration 2 of 3.\nOther iterations may already have changed files in the working tree.\nUse the current repo state as source of truth.\nPush the task forward as much as possible.\nIf most core work is already done, verify, refine, fix gaps, tighten docs, or improve the result.\nDo not stop early just because prior sessions may have already done the main coding work.\n\nPrevious iteration output tail.\n---\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\n---\n\nTask prompt.\n---\nCreate or update a file named loop-test.txt in the current working directory. Append one short line that states which iteration you believe this is, based on the prompt context. Keep changes minimal.\n---\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-002/started_at.txt\n2026-05-05T22:11:15Z\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-002/status.txt\nfailed\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-003/exit_code.txt\n1\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-003/finished_at.txt\n2026-05-05T22:11:18Z\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-003/output.log\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-003/prompt.txt\nLoop controller note.\nYou are running inside a repeated multi-session loop.\nThis is iteration 3 of 3.\nOther iterations may already have changed files in the working tree.\nUse the current repo state as source of truth.\nPush the task forward as much as possible.\nIf most core work is already done, verify, refine, fix gaps, tighten docs, or improve the result.\nDo not stop early just because prior sessions may have already done the main coding work.\n\nPrevious iteration output tail.\n---\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\n---\n\nTask prompt.\n---\nCreate or update a file named loop-test.txt in the current working directory. Append one short line that states which iteration you believe this is, based on the prompt context. Keep changes minimal.\n---\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-003/started_at.txt\n2026-05-05T22:11:16Z\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/iter-003/status.txt\nfailed\n\n===== /mnt/rpi/pi-loop-runs/20260505T221114Z/run-meta.txt\ncreated_at=2026-05-05T22:11:14Z\ncwd=/tmp/pi-loop-test\ncount=3\nmodel=gpt-5.4-mini\nthinking=low\ntail_lines=80\nkeep_going=1\ndisable_extensions=1\nbase_prompt_file=/mnt/rpi/pi-loop-runs/20260505T221114Z/base-prompt.txt\n\n" } ], "isError": false, "timestamp": 1778019082234 } }, { "type": "message", "id": "3740e5e3", "parentId": "e44ae3bb", "timestamp": "2026-05-05T22:11:22.236Z", "message": { "role": "toolResult", "toolCallId": "call_lCTZbZsB8uIOE8cNG7X0EbSX|fc_0ff3a93ad93b26e40169fa6b0a0a608197ba6f05cd85c5a16b", "toolName": "bash", "content": [ { "type": "text", "text": "total 16\ndrwxr-xr-x 2 sebas sebas 60 May 5 19:11 .\ndrwxrwxrwt 17 root root 660 May 5 19:11 ..\n-rw-r--r-- 1 sebas sebas 200 May 5 19:11 prompt.txt\n" } ], "isError": false, "timestamp": 1778019082235 } }, { "type": "message", "id": "be4326c5", "parentId": "3740e5e3", "timestamp": "2026-05-05T22:11:32.345Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6b0b86808197bdbd2dfb088fbc53\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-msTWcTz_OXzPmKP-Xuf9zaXdnsIF71amP4YkuATttb7Lq57H_Kunb9GzrTpdXk53WllA_cLvGtUSOH-4jhI6N4kdQ_vQoyZTIJEJp44STe9x2V8t6nnxjhCewiB8BKROQcnxOcN3ztG03oQgbid_MyCNrn1G_j_76bWsnSTjtm3wO-UuSDcb0gXTQDGhPHr7ve1bSAPlx0V1p0TIdTRyEBkSVLKm_81Q4nWVu47KVUC8ZXxSKAgmEudwW3YsS_yxBkbhMINSAlMCVszWLY1K0ajyG_3VJ5aY13O1zUJAOHTCp5-v01f-l5ZeEMMm15tXvXwET6Os_3_r8MOAFaDU5XA-MLMLF5YbAepo71kjpINmbAinSwGHG1ETVCLiAjocW89FCjFlMQaRQmy6UJpxC8tqKZsqmldEgRy0ZlSl2im3nkFWRESmY_D5qoFAwNLdGRf91jK668Rd9Ba4AnN_yT1BzhpyllOCjxfB2q0wvEi_ytymGxbgmGKAt7iGePOORxvEdPQx6fVFYQ1TYWM4elh6NrocKX-YdLEmsv7ZoQDEqavCC2la99vGZgDjQ6u91huGZsXgkKlOwg8oBMBhw0g430loGVSuT4WDn97bKk9HvKU2FLeH0QbyQDZxlfgC8_fYk7rZ5f6BnhWof5FS0i52K2AQMNr1mO-y2UWy_BW8G6Jc70icnCfbZcmeGMD4ypiVp7wJFPB7miw85ibxVJ6l21rUUfPp2zcpv9wzPzRmjkpBoFVL9mm2tLH8MS6XNTo3sfux0_MICf0vtT6nzWwWkLCCVPogb1rkrxFfOsg31k0nLVYpktbHW_Lm_bI1Pj1PbyfTBjCV3SamXyLM1kc0tmULOdxclmK8UqcPVv5WS3I06UyZS_Zx8XnxY1-6RPmO_eXLDUceOV5emCe-qRSDLOHZuis55UuaT78ap0DM5oUVWC6mW15ngarcy2s3lXNuGCRn0asOvHlknAR15SjhzXgJlG0uzooJ1rZ9WX36zKyqX89uE3afbn7XzWwY6UcyoQmcXoh2vklUzWv3wH6fA==\",\"summary\":[]}" }, { "type": "text", "text": "Probado. Script funciona. Llamó 3 veces. Fallaron las 3 por config de provider, no por el loop.\n\nResultado:\n- run dir: `/mnt/rpi/pi-loop-runs/20260505T221114Z`\n- iteraciones: 3\n- failures: 3\n\nCausa:\n- `No API key found for azure-openai-responses`\n\nO sea:\n- el `pi-loop` sí armó prompts por iteración\n- sí pasó el contexto de iteración\n- sí reutilizó la salida anterior\n- pero `pi` no pudo ejecutar modelo\n\nPrompt generado, ejemplo iteración 2:\n- dice `This is iteration 2 of 3`\n- agrega tail de salida anterior\n- luego el prompt base\n\nNo creó `loop-test.txt` porque nunca llegó a correr modelo.\n\nSi querés, hago uno de estos dos ahora:\n1. arreglar `pi` para que use un provider/model que sí esté logueado\n2. cambiar `pi-loop` para aceptar `--provider` y/o validar credenciales antes de arrancar\n\nMi recomendación: 2. Así falla rápido y claro.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169fa6b1363b08197b82319036978fe2a\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2279, "output": 265, "cacheRead": 24576, "cacheWrite": 0, "totalTokens": 27120, "cost": { "input": 0.0056975, "output": 0.003975, "cacheRead": 0.006144, "cacheWrite": 0, "total": 0.0158165 } }, "stopReason": "stop", "timestamp": 1778019082236, "responseId": "resp_0ff3a93ad93b26e40169fa6b0a96d48197b3c41015a4bf7423" } }, { "type": "message", "id": "1d3226d5", "parentId": "be4326c5", "timestamp": "2026-05-05T22:18:57.049Z", "message": { "role": "user", "content": [ { "type": "text", "text": "Algo similar le pasa a los \"py jobs\" Podéis hacer un test minimalista de una script o directamente vos llamar a \"py\" de todas las maneras que puedas saber cuál te responde" } ], "timestamp": 1778019537043 } }, { "type": "message", "id": "6c466498", "parentId": "1d3226d5", "timestamp": "2026-05-05T22:19:02.581Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Investigating Python commands**\n\nI need to take a closer look at the Python command since there might be a typo, possibly with \"pi.\" The user is asking about Python jobs, so I should test minimal scripts or try calling Python in different ways. I’ll investigate the availability of these commands and the configuration settings to get everything sorted out. It’s essential to ensure the right setup for the user’s needs!" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 0, "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0, "total": 0 } }, "stopReason": "aborted", "timestamp": 1778019537044, "responseId": "resp_0ff3a93ad93b26e40169fa6cd1635c8197a59392e8d5089460", "errorMessage": "Operation aborted" } }, { "type": "message", "id": "7af99ec3", "parentId": "6c466498", "timestamp": "2026-05-05T22:19:04.649Z", "message": { "role": "user", "content": [ { "type": "text", "text": "pi, no py" } ], "timestamp": 1778019544645 } }, { "type": "message", "id": "d96cdc87", "parentId": "7af99ec3", "timestamp": "2026-05-05T22:19:07.964Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Investigating pi invocation methods**\n\nI need to look into the different variants of invoking pi, maybe creating a to-do for it. I don't think asking for help is necessary right now; I should just explore running the command with `pi --help`. I suppose I'll check if there’s a non-interactive version of pi or if the login is unavailable. I want to keep this direct and concise as I move forward.", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6cd9d038819790652d65b43208f1\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mzbXG2plisYNkPmVYeORbGxmSrLNDAzbK5tTkCRW79Y2VAr6Hn7fo_9DPLz2BRa6DSQhSpUNuO-2LCs6QiLOAgPGrKG_Cb_WEQetMEiBLWs6v9IwVsDBoVhiugkWe8GqK--OKOlYTZs_pJQrdZ_yOXOy2BFlECg2VTeYxYj_BK_Z1l_2LNrZBTpPl9Ts-qcrPeKykZ2gAEo2So6qeiA6EWteksbD_3svItf46_D6y6abr84-HA6deNXaLsKrQ38rR-oeTRxHq0JDMG-1xw1hrd2yhFGunkvDVtyhippWKgxhd5CImFA2SJnfQABvVd_IEuLsJtALay_ZUEA--WV5xwOnC8_CrQRTla6dDo2EV3o0ECLmsxi1rgH6-IqHRVOG44iQqywkTwmA_vH-XNzwXrXMLxfs3rzHBmdcvwnxxJjuXw7UE74dDbcGqpfXOueEEJnuqHrBjhrQV_wQfNsDmmeJOKCRLot_f7vKyZE5Fw1W58GtxFBbIVLRfVIY6UyvdwUVQqqDYzdH0bYcx_Tu5NXUsXBG0IYUSwkGmk4BAvXlHC3XinXtK8l6_3eyUAyXPSclDvr07_gsuMlyN5dTbKAfrL_aK_MMsFlFa54HDi8CHCaxmfs9Xt83NqoVa4M_hdJs4ZsPjrD66NQchm6hifk0lEJ2MDS-Nf78i9oKQCc-FGjHfew125muAUhZCGHRBIrvjIjJTb7pHWYVVXY0UX5xFnqrDnFT8x39YszhWg4YBpXj9nkZT-sUqlNaJQxpkLJIgycPqdiYkAinYGlOSFqZoOi1lWFDkIYJ_ZPgN_XnmneLFPmkzgzfDOqzW_kRTR3y77jDCj1Lj_0dnoqTpWH93YuaAEv39VagY67x9jUeqwsWSkcmzo7iGdl83Z7dhPszFtPmLxIsxAt-vRoBODiODJYZ7_ANlV-piYd7kUYQMN9UeumXUkb09lYLcQvzKZRLIJZf1JHj726rxI20Is2566hphX9MMjoAPWeH31EvxNulXUkYsAMocCKHc48b1qlojssn5N_q16CLrdOU5UjrzCA1TAwdIlNJYs50ISs_VTg0dAaN5mG_JxEDeOtSp7HjcUzMpP864lqicGxPDBpWRIE0ChkuSQ1t5FnDczs_EE=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating pi invocation methods**\\n\\nI need to look into the different variants of invoking pi, maybe creating a to-do for it. I don't think asking for help is necessary right now; I should just explore running the command with `pi --help`. I suppose I'll check if there’s a non-interactive version of pi or if the login is unavailable. I want to keep this direct and concise as I move forward.\"}]}" }, { "type": "toolCall", "id": "call_VAdeURuZcm28IBGGlDKuFmwp|fc_0ff3a93ad93b26e40169fa6cdb934081978e81142cc73de740", "name": "todo", "arguments": { "action": "create", "subject": "Diagnose pi CLI invocation/auth issue", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 526, "output": 108, "cacheRead": 26624, "cacheWrite": 0, "totalTokens": 27258, "cost": { "input": 0.0013150000000000002, "output": 0.0016200000000000001, "cacheRead": 0.006656, "cacheWrite": 0, "total": 0.009590999999999999 } }, "stopReason": "toolUse", "timestamp": 1778019544646, "responseId": "resp_0ff3a93ad93b26e40169fa6cd8fb848197acb72f8bdf83973b" } }, { "type": "message", "id": "8bfd2690", "parentId": "d96cdc87", "timestamp": "2026-05-05T22:19:07.970Z", "message": { "role": "toolResult", "toolCallId": "call_VAdeURuZcm28IBGGlDKuFmwp|fc_0ff3a93ad93b26e40169fa6cdb934081978e81142cc73de740", "toolName": "todo", "content": [ { "type": "text", "text": "Created #1: Diagnose pi CLI invocation/auth issue (pending)" } ], "details": { "action": "create", "params": { "action": "create", "subject": "Diagnose pi CLI invocation/auth issue", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" }, "tasks": [ { "id": 1, "subject": "Diagnose pi CLI invocation/auth issue", "status": "pending", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" } ], "nextId": 2 }, "isError": false, "timestamp": 1778019547970 } }, { "type": "message", "id": "be55c248", "parentId": "8bfd2690", "timestamp": "2026-05-05T22:19:10.092Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_1gHy0lanVYGjKJqVLHP98Upk|fc_0ff3a93ad93b26e40169fa6cdd8b50819784f6b2db063eaa93", "name": "todo", "arguments": { "action": "update", "id": 1, "status": "in_progress" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 657, "output": 26, "cacheRead": 26624, "cacheWrite": 0, "totalTokens": 27307, "cost": { "input": 0.0016425, "output": 0.00039, "cacheRead": 0.006656, "cacheWrite": 0, "total": 0.0086885 } }, "stopReason": "toolUse", "timestamp": 1778019547971, "responseId": "resp_0ff3a93ad93b26e40169fa6cdc96f881978f9951e7afcceeb4" } }, { "type": "message", "id": "adfb2ef5", "parentId": "be55c248", "timestamp": "2026-05-05T22:19:10.093Z", "message": { "role": "toolResult", "toolCallId": "call_1gHy0lanVYGjKJqVLHP98Upk|fc_0ff3a93ad93b26e40169fa6cdd8b50819784f6b2db063eaa93", "toolName": "todo", "content": [ { "type": "text", "text": "Updated #1 (pending → in_progress)" } ], "details": { "action": "update", "params": { "action": "update", "id": 1, "status": "in_progress" }, "tasks": [ { "id": 1, "subject": "Diagnose pi CLI invocation/auth issue", "status": "in_progress", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" } ], "nextId": 2 }, "isError": false, "timestamp": 1778019550093 } }, { "type": "message", "id": "3a58ce32", "parentId": "adfb2ef5", "timestamp": "2026-05-05T22:19:15.455Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_PrjweahPyenViolZsIyIgdFW|fc_0ff3a93ad93b26e40169fa6ce34cf08197a87e19fb86ba10d2", "name": "bash", "arguments": { "command": "set -euo pipefail\nwhich pi\npi --version || true\nprintf '\\n===== pi --help =====\\n'\npi --help || true\nprintf '\\n===== env keys =====\\n'\nenv | grep -E '^(OPENAI|AZURE|ANTHROPIC|GOOGLE|GEMINI|OPENROUTER|NVIDIA|PI_)' | sed 's/=.*$/=/' | sort || true", "timeout": 120 } }, { "type": "toolCall", "id": "call_Yc7AGJ2EjD22Hgpqd53Prm1v|fc_0ff3a93ad93b26e40169fa6ce34d048197b5594db9221310a5", "name": "bash", "arguments": { "command": "set -euo pipefail\nprintf '===== login state files =====\\n'\nls -la ~/.codex ~/.pi 2>/dev/null || true\nprintf '\\n===== settings =====\\n'\nsed -n '1,220p' /home/sebas/pi-config/settings.json", "timeout": 120 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 190, "output": 211, "cacheRead": 27136, "cacheWrite": 0, "totalTokens": 27537, "cost": { "input": 0.00047500000000000005, "output": 0.0031650000000000003, "cacheRead": 0.006784, "cacheWrite": 0, "total": 0.010424000000000001 } }, "stopReason": "toolUse", "timestamp": 1778019550094, "responseId": "resp_0ff3a93ad93b26e40169fa6cdeb5088197a80754581d75cf07" } }, { "type": "message", "id": "39d5f9b1", "parentId": "3a58ce32", "timestamp": "2026-05-05T22:19:19.378Z", "message": { "role": "toolResult", "toolCallId": "call_PrjweahPyenViolZsIyIgdFW|fc_0ff3a93ad93b26e40169fa6ce34cf08197a87e19fb86ba10d2", "toolName": "bash", "content": [ { "type": "text", "text": "/home/sebas/.npm-global/bin/pi\n0.71.0\n\n===== pi --help =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\npi - AI coding assistant with read, bash, edit, write tools\n\nUsage:\n pi [options] [@files...] [messages...]\n\nCommands:\n pi install [-l] Install extension source and add to settings\n pi remove [-l] Remove extension source from settings\n pi uninstall [-l] Alias for remove\n pi update [source|self|pi] Update pi and installed extensions\n pi list List installed extensions from settings\n pi config Open TUI to enable/disable package resources\n pi --help Show help for install/remove/uninstall/update/list\n\nOptions:\n --provider Provider name (default: google)\n --model Model pattern or ID (supports \"provider/id\" and optional \":\")\n --api-key API key (defaults to env vars)\n --system-prompt System prompt (default: coding assistant prompt)\n --append-system-prompt Append text or file contents to the system prompt (can be used multiple times)\n --mode Output mode: text (default), json, or rpc\n --print, -p Non-interactive mode: process prompt and exit\n --continue, -c Continue previous session\n --resume, -r Select a session to resume\n --session Use specific session file or partial UUID\n --fork Fork specific session file or partial UUID into a new session\n --session-dir Directory for session storage and lookup\n --no-session Don't save session (ephemeral)\n --models Comma-separated model patterns for Ctrl+P cycling\n Supports globs (anthropic/*, *sonnet*) and fuzzy matching\n --no-tools, -nt Disable all tools by default (built-in and extension)\n --no-builtin-tools, -nbt Disable built-in tools by default but keep extension/custom tools enabled\n --tools, -t Comma-separated allowlist of tool names to enable\n Applies to built-in, extension, and custom tools\n --thinking Set thinking level: off, minimal, low, medium, high, xhigh\n --extension, -e Load an extension file (can be used multiple times)\n --no-extensions, -ne Disable extension discovery (explicit -e paths still work)\n --skill Load a skill file or directory (can be used multiple times)\n --no-skills, -ns Disable skills discovery and loading\n --prompt-template Load a prompt template file or directory (can be used multiple times)\n --no-prompt-templates, -np Disable prompt template discovery and loading\n --theme Load a theme file or directory (can be used multiple times)\n --no-themes Disable theme discovery and loading\n --no-context-files, -nc Disable AGENTS.md and CLAUDE.md discovery and loading\n --export Export session file to HTML and exit\n --list-models [search] List available models (with optional fuzzy search)\n --verbose Force verbose startup (overrides quietStartup setting)\n --offline Disable startup network operations (same as PI_OFFLINE=1)\n --help, -h Show this help\n --version, -v Show version number\n\nExtensions can register additional flags (e.g., --plan from plan-mode extension).\nExtension CLI Flags:\n --switch-session Open the session-switch picker after startup, then relaunch into the selected session\n\n\nExamples:\n # Interactive mode\n pi\n\n # Interactive mode with initial prompt\n pi \"List all .ts files in src/\"\n\n # Include files in initial message\n pi @prompt.md @image.png \"What color is the sky?\"\n\n # Non-interactive mode (process and exit)\n pi -p \"List all .ts files in src/\"\n\n # Multiple messages (interactive)\n pi \"Read package.json\" \"What dependencies do we have?\"\n\n # Continue previous session\n pi --continue \"What did we discuss?\"\n\n # Use different model\n pi --provider openai --model gpt-4o-mini \"Help me refactor this code\"\n\n # Use model with provider prefix (no --provider needed)\n pi --model openai/gpt-4o \"Help me refactor this code\"\n\n # Use model with thinking level shorthand\n pi --model sonnet:high \"Solve this complex problem\"\n\n # Limit model cycling to specific models\n pi --models claude-sonnet,claude-haiku,gpt-4o\n\n # Limit to a specific provider with glob pattern\n pi --models \"github-copilot/*\"\n\n # Cycle models with fixed thinking levels\n pi --models sonnet:high,haiku:low\n\n # Start with a specific thinking level\n pi --thinking high \"Solve this complex problem\"\n\n # Read-only mode (no file modifications possible)\n pi --tools read,grep,find,ls -p \"Review the code in src/\"\n\n # Export a session file to HTML\n pi --export ~/.pi/agent/sessions/--path--/session.jsonl\n pi --export session.jsonl output.html\n\nEnvironment Variables:\n ANTHROPIC_API_KEY - Anthropic Claude API key\n ANTHROPIC_OAUTH_TOKEN - Anthropic OAuth token (alternative to API key)\n OPENAI_API_KEY - OpenAI GPT API key\n AZURE_OPENAI_API_KEY - Azure OpenAI API key\n AZURE_OPENAI_BASE_URL - Azure OpenAI/Cognitive Services base URL (e.g. https://{resource}.openai.azure.com)\n AZURE_OPENAI_RESOURCE_NAME - Azure OpenAI resource name (alternative to base URL)\n AZURE_OPENAI_API_VERSION - Azure OpenAI API version (default: v1)\n AZURE_OPENAI_DEPLOYMENT_NAME_MAP - Azure OpenAI model=deployment map (comma-separated)\n DEEPSEEK_API_KEY - DeepSeek API key\n GEMINI_API_KEY - Google Gemini API key\n GROQ_API_KEY - Groq API key\n CEREBRAS_API_KEY - Cerebras API key\n XAI_API_KEY - xAI Grok API key\n FIREWORKS_API_KEY - Fireworks API key\n OPENROUTER_API_KEY - OpenRouter API key\n AI_GATEWAY_API_KEY - Vercel AI Gateway API key\n ZAI_API_KEY - ZAI API key\n MISTRAL_API_KEY - Mistral API key\n MINIMAX_API_KEY - MiniMax API key\n MOONSHOT_API_KEY - Moonshot AI API key\n OPENCODE_API_KEY - OpenCode Zen/OpenCode Go API key\n KIMI_API_KEY - Kimi For Coding API key\n CLOUDFLARE_API_KEY - Cloudflare API token (Workers AI and AI Gateway)\n CLOUDFLARE_ACCOUNT_ID - Cloudflare account id (required for both)\n CLOUDFLARE_GATEWAY_ID - Cloudflare AI Gateway slug (required for AI Gateway)\n AWS_PROFILE - AWS profile for Amazon Bedrock\n AWS_ACCESS_KEY_ID - AWS access key for Amazon Bedrock\n AWS_SECRET_ACCESS_KEY - AWS secret key for Amazon Bedrock\n AWS_BEARER_TOKEN_BEDROCK - Bedrock API key (bearer token)\n AWS_REGION - AWS region for Amazon Bedrock (e.g., us-east-1)\n PI_CODING_AGENT_DIR - Config directory (default: ~/.pi/agent)\n PI_CODING_AGENT_SESSION_DIR - Session storage directory (overridden by --session-dir)\n PI_PACKAGE_DIR - Override package directory (for Nix/Guix store paths)\n PI_OFFLINE - Disable startup network operations when set to 1/true/yes\n PI_TELEMETRY - Override install telemetry when set to 1/true/yes or 0/false/no\n PI_SHARE_VIEWER_URL - Base URL for /share command (default: https://pi.dev/session/)\n\nBuilt-in Tool Names:\n read - Read file contents\n bash - Execute bash commands\n edit - Edit files with find/replace\n write - Write files (creates/overwrites)\n grep - Search file contents (read-only, off by default)\n find - Find files by glob pattern (read-only, off by default)\n ls - List directory contents (read-only, off by default)\n\n\n===== env keys =====\nOPENROUTER_API_KEY=\nPI_CODING_AGENT_DIR=\nPI_CODING_AGENT=\n" } ], "isError": false, "timestamp": 1778019559377 } }, { "type": "message", "id": "85c92e03", "parentId": "39d5f9b1", "timestamp": "2026-05-05T22:19:19.379Z", "message": { "role": "toolResult", "toolCallId": "call_Yc7AGJ2EjD22Hgpqd53Prm1v|fc_0ff3a93ad93b26e40169fa6ce34d048197b5594db9221310a5", "toolName": "bash", "content": [ { "type": "text", "text": "===== login state files =====\n/home/sebas/.codex:\ntotal 504\ndrwxr-xr-x 9 sebas sebas 4096 Apr 30 14:45 .\ndrwxr-xr-x+ 47 sebas sebas 4096 May 5 17:50 ..\n-rw------- 1 sebas sebas 4299 Mar 18 14:01 auth.json\n-rw------- 1 sebas sebas 217 Mar 18 15:05 config.toml\n-rw------- 1 sebas sebas 5635 Mar 23 14:30 history.jsonl\n-rw-r--r-- 1 sebas sebas 36 Apr 30 11:43 installation_id\ndrwxr-xr-x 2 sebas sebas 4096 Feb 15 15:50 log\n-rw-r--r-- 1 sebas sebas 40960 Apr 30 14:25 logs_2.sqlite\ndrwxr-xr-x 2 sebas sebas 4096 Mar 18 14:00 memories\n-rw-r--r-- 1 sebas sebas 234796 Mar 28 09:22 models_cache.json\n-rw-r--r-- 1 sebas sebas 3 Feb 15 15:50 .personality_migration\ndrwxr-xr-x 2 sebas sebas 4096 Mar 18 17:21 rules\ndrwxr-xr-x 3 sebas sebas 4096 Feb 16 12:14 sessions\ndrwxr-xr-x 2 sebas sebas 4096 Apr 30 14:25 shell_snapshots\ndrwxr-xr-x 3 sebas sebas 4096 Apr 30 11:43 skills\n-rw-r--r-- 1 sebas sebas 167936 Apr 30 14:45 state_5.sqlite\ndrwxr-xr-x 3 sebas sebas 4096 Feb 15 15:50 tmp\n-rw-r--r-- 1 sebas sebas 105 Mar 28 09:22 version.json\n\n/home/sebas/.pi:\ntotal 3912\ndrwxrwxr-x 5 sebas sebas 4096 May 1 16:06 .\ndrwxr-xr-x+ 47 sebas sebas 4096 May 5 17:50 ..\ndrwxrwxr-x 8 sebas sebas 4096 May 5 19:06 agent\n-rw-r--r-- 1 sebas sebas 0 May 4 18:16 free.json\n-rw-r--r-- 1 sebas sebas 794576 May 5 19:06 free.log\n-rw-rw-r-- 1 sebas sebas 3179735 May 5 19:06 modelmatch.log\ndrwxr-xr-x 2 sebas sebas 4096 Apr 23 13:45 pi-acp\ndrwxrwxr-x 3 sebas sebas 4096 May 1 16:06 whatsapp-pi\n\n===== settings =====\n{\n \"lastChangelogVersion\": \"0.71.0\",\n \"defaultProvider\": \"openai-codex\",\n \"defaultModel\": \"gpt-5.4\",\n \"defaultThinkingLevel\": \"low\",\n \"enabledModels\": [\n \"openai-codex/gpt-5.4\",\n \"google-gemini-cli/gemini-3-flash-preview\",\n \"openai-codex/gpt-5.4-mini\",\n \"nvidia/nvidia/nemotron-4-340b-instruct\",\n \"nvidia/minimaxai/minimax-m2.7\",\n \"openrouter/nvidia/nemotron-3-super-120b-a12b:free\",\n \"openrouter/qwen/qwen3-coder:free\"\n ],\n \"treeFilterMode\": \"user-only\",\n \"packages\": [\n \"git:github.com/apmantza/pi-free\",\n \"npm:pi-btw\",\n \"../../../home/sebas/.agents/extensions/resume-hint/resume-hint.js\",\n \"npm:pi-session-switch\",\n \"npm:@juicesharp/rpiv-todo\",\n \"npm:@llblab/pi-telegram\"\n ]\n}" } ], "isError": false, "timestamp": 1778019559378 } }, { "type": "message", "id": "dbe667cf", "parentId": "85c92e03", "timestamp": "2026-05-05T22:19:27.275Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Exploring test provider variants**\n\nI think I need to consider various test provider options. Maybe OpenRouter works because of the environment. I'm thinking about running some tests with the `pi list-models` command to check which models are available with that provider. It could help me determine the best fit for what's needed. I'm just trying to make sure I cover all my bases to get the right information!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6ce8a9148197b039e1b048316489\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-mzv5Rhb-kv1rcTwLz10tYhRP91-ETUvF-5tJgGUhxnPsKrAN3QRgBPZtmwH68J2kT3eLMeIex_fqAa5m2XYxeysE10zNBC1CNdNbE1Khhjt7-3IFJv3pD7eqo5_laxMZyXsl2M4es0gEHvjRxepG9ukgEMMdA12PY2i9w3dPGr7W8JWjELPka91KhG5J2X5pknt3_V1qpzrvqcNedzz50a-Qsa2C-GjVQzaEzaRGEz2MIlnNakwq8ulwlQFthJfyrlUXjrMpo6ktWoTGugyXpoAlfReUekAFiAqEYhR3rgW76zlDyl5l0nQHR25QSPiid8J3zP6BMbBPpc5dHZRam8qxfifLfqYyFhqThrFxtCpKXYtLk7yRjOZt2cS7Z1dRQJlFOxbf57sB00JbWE-0pTFmJwzBTszLIR_DGs7ICKMSebDtBEzXNgTfAOQDwZH9MC85MZ9qamNF6bMd7m88KfSeE9nUIIDoeauvhi11ZXwhdI2MKH1uUU6ghdLS-Dz9fdbH1ozFsYwF3SoFd11S6sgbBHPWD5Kh_TV_8FK_eLjtNdumJxuaL_X_yT1lxy9nHUsRk-BOnk8hsP_IUlGB_0cESET_BeHkaTP85F6Y_QaiTdgiOMIFREq9StXlUo6rHDqeFFDLGHa69STJ9aOpOmdIuLIGvbzkM_UFs5MpPaYyiZkzHksr8SZrghUSJJnaXPNumpbRP5BVpnfFleXrR4GCscZeHzDdj2lKpUjRqrmhUFjL9Aw7oamgJi3P3FSjOQisJZcyxURKkYR1BAJnjGZ08AJYN0EVnq-PIkLJ03KujjJw7NlpzPn3OJEIXrBGjUECim8_gKX2cS-ovNj2Agx_QR9mZ-BRVYm7RJO2djTK9VIZEycaAHrxPuSpdF5Sh4doPjjkxmlTw9Gb8ktrA32V-vizBtamDSZblqeT9yc7nNJN052ndsVUWKAxNUQtGOr58Au0eNzPFS3irAwTf3xFjAXFQfCb8XpxHZDo8jT72HLBdXsVUzyQ4Vw2DMYhxRRcwoI_Yg1FnArO3ayq-9MBmg8Yb7t4ClffMBXADoNPnE=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring test provider variants**\\n\\nI think I need to consider various test provider options. Maybe OpenRouter works because of the environment. I'm thinking about running some tests with the `pi list-models` command to check which models are available with that provider. It could help me determine the best fit for what's needed. I'm just trying to make sure I cover all my bases to get the right information!\"}]}" }, { "type": "toolCall", "id": "call_h1wojPf2g5uKzqczmUyJCqjK|fc_0ff3a93ad93b26e40169fa6cef0aac8197a9691b8a43f53d2d", "name": "bash", "arguments": { "command": "set -euo pipefail\nprintf '===== list models openrouter qwen =====\\n'\npi --provider openrouter --list-models qwen 2>&1 | sed -n '1,120p'\nprintf '\\n===== test openrouter explicit =====\\n'\npi --provider openrouter --model qwen/qwen3-coder:free --no-extensions --no-session -p 'Reply with exactly OK' 2>&1 | sed -n '1,120p'", "timeout": 300 } }, { "type": "toolCall", "id": "call_bCNJh51vWGR9OW3Iy21t8937|fc_0ff3a93ad93b26e40169fa6cef0ac0819788c14caa59c8d156", "name": "bash", "arguments": { "command": "set -euo pipefail\nprintf '===== test model prefix explicit =====\\n'\npi --model openrouter/qwen/qwen3-coder:free --no-extensions --no-session -p 'Reply with exactly OK' 2>&1 | sed -n '1,120p'\nprintf '\\n===== test default broken path =====\\n'\npi --no-extensions --no-session -p 'Reply with exactly OK' 2>&1 | sed -n '1,80p'", "timeout": 300 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 3373, "output": 289, "cacheRead": 27136, "cacheWrite": 0, "totalTokens": 30798, "cost": { "input": 0.0084325, "output": 0.004335, "cacheRead": 0.006784, "cacheWrite": 0, "total": 0.0195515 } }, "stopReason": "toolUse", "timestamp": 1778019559379, "responseId": "resp_0ff3a93ad93b26e40169fa6ce7c15481979a0db529af807796" } }, { "type": "message", "id": "a6a1b635", "parentId": "dbe667cf", "timestamp": "2026-05-05T22:19:53.545Z", "message": { "role": "toolResult", "toolCallId": "call_h1wojPf2g5uKzqczmUyJCqjK|fc_0ff3a93ad93b26e40169fa6cef0aac8197a9691b8a43f53d2d", "toolName": "bash", "content": [ { "type": "text", "text": "===== list models openrouter qwen =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nprovider model context max-out thinking images\nnvidia qwen/qwen3-235b-a22b 131.1K 8.2K yes no \nnvidia qwen/qwen3-coder-480b-a35b-instruct 262.1K 66.5K no no \nnvidia qwen/qwen3-next-80b-a3b-instruct 262.1K 16.4K no no \nnvidia qwen/qwen3-next-80b-a3b-thinking 262.1K 16.4K yes no \nnvidia qwen/qwen3.5-397b-a17b 262.1K 8.2K yes yes \nopenrouter qwen/qwen-2.5-72b-instruct 32.8K 16.4K no no \nopenrouter qwen/qwen-2.5-7b-instruct 32.8K 32.8K no no \nopenrouter qwen/qwen-max 32.8K 8.2K no no \nopenrouter qwen/qwen-plus 1M 32.8K no no \nopenrouter qwen/qwen-plus-2025-07-28 1M 32.8K no no \nopenrouter qwen/qwen-plus-2025-07-28:thinking 1M 32.8K yes no \nopenrouter qwen/qwen-turbo 131.1K 8.2K no no \nopenrouter qwen/qwen-vl-max 131.1K 32.8K no yes \nopenrouter qwen/qwen3-14b 41.0K 41.0K yes no \nopenrouter qwen/qwen3-235b-a22b 131.1K 8.2K yes no \nopenrouter qwen/qwen3-235b-a22b-2507 262.1K 16.4K no no \nopenrouter qwen/qwen3-235b-a22b-thinking-2507 131.1K 4.1K yes no \nopenrouter qwen/qwen3-30b-a3b 41.0K 16.4K yes no \nopenrouter qwen/qwen3-30b-a3b-instruct-2507 262.1K 262.1K no no \nopenrouter qwen/qwen3-30b-a3b-thinking-2507 131.1K 131.1K yes no \nopenrouter qwen/qwen3-32b 41.0K 41.0K yes no \nopenrouter qwen/qwen3-8b 41.0K 8.2K yes no \nopenrouter qwen/qwen3-coder 262.1K 65.5K no no \nopenrouter qwen/qwen3-coder-30b-a3b-instruct 160K 32.8K no no \nopenrouter qwen/qwen3-coder-flash 1M 65.5K no no \nopenrouter qwen/qwen3-coder-next 262.1K 262.1K no no \nopenrouter qwen/qwen3-coder-plus 1M 65.5K no no \nopenrouter qwen/qwen3-coder:free 262K 262K no no \nopenrouter qwen/qwen3-max 262.1K 32.8K no no \nopenrouter qwen/qwen3-max-thinking 262.1K 32.8K yes no \nopenrouter qwen/qwen3-next-80b-a3b-instruct 262.1K 16.4K no no \nopenrouter qwen/qwen3-next-80b-a3b-instruct:free 262.1K 4.1K no no \nopenrouter qwen/qwen3-next-80b-a3b-thinking 131.1K 32.8K yes no \nopenrouter qwen/qwen3-vl-235b-a22b-instruct 262.1K 16.4K no yes \nopenrouter qwen/qwen3-vl-235b-a22b-thinking 131.1K 32.8K yes yes \nopenrouter qwen/qwen3-vl-30b-a3b-instruct 131.1K 32.8K no yes \nopenrouter qwen/qwen3-vl-30b-a3b-thinking 131.1K 32.8K yes yes \nopenrouter qwen/qwen3-vl-32b-instruct 131.1K 32.8K no yes \nopenrouter qwen/qwen3-vl-8b-instruct 131.1K 32.8K no yes \nopenrouter qwen/qwen3-vl-8b-thinking 131.1K 32.8K yes yes \nopenrouter qwen/qwen3.5-122b-a10b 262.1K 65.5K yes yes \nopenrouter qwen/qwen3.5-27b 262.1K 65.5K yes yes \nopenrouter qwen/qwen3.5-35b-a3b 262.1K 65.5K yes yes \nopenrouter qwen/qwen3.5-397b-a17b 262.1K 65.5K yes yes \nopenrouter qwen/qwen3.5-9b 262.1K 4.1K yes yes \nopenrouter qwen/qwen3.5-flash-02-23 1M 65.5K yes yes \nopenrouter qwen/qwen3.5-plus-02-15 1M 65.5K yes yes \nopenrouter qwen/qwen3.5-plus-20260420 1M 65.5K yes yes \nopenrouter qwen/qwen3.6-27b 256K 65.5K yes yes \nopenrouter qwen/qwen3.6-flash 1M 65.5K yes yes \nopenrouter qwen/qwen3.6-max-preview 262.1K 65.5K yes no \nopenrouter qwen/qwen3.6-plus 1M 65.5K yes yes \nqwen coder-model 131.1K 16.4K no no \n\n===== test openrouter explicit =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\n429 Rate limit exceeded: limit_rpm/qwen/qwen3-coder-480b-a35b-07-25/a9bbd882-011f-4606-8f60-85f3cb642586. High demand for qwen/qwen3-coder:free on OpenRouter - limited to 8 requests per minute. Please retry shortly.\n\n\nCommand exited with code 1" } ], "details": {}, "isError": true, "timestamp": 1778019593544 } }, { "type": "message", "id": "1d9dd3a2", "parentId": "a6a1b635", "timestamp": "2026-05-05T22:19:53.546Z", "message": { "role": "toolResult", "toolCallId": "call_bCNJh51vWGR9OW3Iy21t8937|fc_0ff3a93ad93b26e40169fa6cef0ac0819788c14caa59c8d156", "toolName": "bash", "content": [ { "type": "text", "text": "===== test model prefix explicit =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\n429 Rate limit exceeded: limit_rpm/qwen/qwen3-coder-480b-a35b-07-25/a9bbd882-011f-4606-8f60-85f3cb642586. High demand for qwen/qwen3-coder:free on OpenRouter - limited to 8 requests per minute. Please retry shortly.\n\n\nCommand exited with code 1" } ], "details": {}, "isError": true, "timestamp": 1778019593545 } }, { "type": "message", "id": "1cfc4318", "parentId": "1d9dd3a2", "timestamp": "2026-05-05T22:20:02.445Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6d0ab9f481979cd7d3e779e76a63\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-m0Szd4CNJ2Cc229dPMo_jR7RQ0OY5h5Y0sl_xDJvm7_vkkZfzd2Wr_RnxX59dcVuNYGysYjCGo789NlySXeSryKADc43E1XUsKmcrDNfxhC1CHmKHqvLlE7rOp3nxdWd1vHU47T88vSlzgFmXo8t-0PhnMjEHl8UKJAVEhSrZVBOWhWWiJs7zzapVYne90lp7OltJsVzRZxTnj6ZYpjU3nJe0CN5kSHf6JotWdpuhvZF5bjoAS1mlFVmO1FdW-ywLlXtYPb9LKn7Pp1Y6_NGwtcodCjt5dnCkza1v3STGGwlR-8gX0d5l3mfSh_a8GWYWMqUyEJH0TZYCguNxwxHH7lWnCEMVjrU860_Q41TI6RbA1aCouaNWaLVT1GLsmHgMtuPxAC1KgBiczvpj910hforNbwJMdzgw50pVdmdfJ9px41NtQ50HEuGj53WKb1SeVJBTpbnQVHtRGOwPxW1H0AzUkPzvXXSMympKxlDXDbtoDxPJWWQ0tViY-QXB-N1rjoCTmkSRege_0J3wsVlIB0_5Zy7Eub9FZGKb1pIk6K9-cvnWIfCxkvca8X4pVi1dpCMBLiF2dISinUCRlocG5qFqoZR9artV0WqbhGc96cWhAEOsQJfkR0tlg6Z1P0gVHZfi2XsOXYZQZOBR67Np8jjj9g95YZ7wM2skK_RbNRm7t2PAIv6RSx35PDMSsYyDdeYR2o3OuWdxirhtEBqiEg4EJ_TlR-zCKenU30uG6waDYDwZCHkxyWc02gfEQ93qhuVkz0LSSlpI_nlBAMyu5QNvpRZvevUh4FSK53akLnvpwvj-Xo8oF3QGdq6mlg_2r3bpowYo-yn46MN0A6mi99pk8VJLTPBksnwlXghQNwaXvqBCLCCDlcqv7G1lopUYIrC2qPowqzyw2vkvMBDSMuOkrengqrMhbARiv25dC9rrk9_OPu9BMP3jN3lif5xCAO12xp4_5ICjYMAGsYDdjcnx9qND-CFZT77MP4iduuiDgXTZHVbrLis08hg3FWlX1Ef4NCTCe-rgGKhsGR69oRTsfxCmtCNpAEL5YCRnUBR6aKz5lBN2XmPMpnR5efSoWzEF5LRDyQhwPNCeZQZTXrzx4cOrMTEYs4k4f1nfnGG1M--3ErBgg4sheiDAb6k3mXaJFHWxW1Wlo8d_yY_p7RzOt8OXFqhKIZPuGfkru2wbmWpLqeUvfyrDM_mwJPzHPf8hTRr6-g-sLaXpO5owNRB9oaXL6pj5v9mTBYCQuC76Y8MyTU3VdRywJthHjPPvM1D59zH4ODF75kU73WwpSov5yvSrGpyPoQcjJ1K5d3oiVQ2rNcq-LdOzztCc5Mdp8-pV_LiqAR-9NWjhpumMhacJxepY_jHahr58uBbhBTSN8CXYR7-fLE-NHqbOuEf2Px5Hg2rRMzmwCKDR_r4v2fjXq1CdhcyJVFuciPRNBYUeXjb_yxy1gcF84BeBFec3bFVGxllgh2-GMRuxR2bSRcQAPnowDGXMcT61JzuwooJ3vS1XJMFW0-uOmR-yxKi2xvV0-AopbGvVkaBHe0BZ8kvQ==\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_euUCNr1gufPK12zLLBYK5j4y|fc_0ff3a93ad93b26e40169fa6d123a7c8197ba2acfd2d13d88d6", "name": "bash", "arguments": { "command": "set -euo pipefail\nfor model in \\\n openrouter/qwen/qwen3-coder \\\n openrouter/qwen/qwen3-8b \\\n openrouter/qwen/qwen3-coder-next \\\n openrouter/qwen/qwen3-next-80b-a3b-instruct:free\n do\n echo \"===== $model =====\"\n set +e\n pi --model \"$model\" --no-extensions --no-session -p 'Reply with exactly OK' 2>&1 | sed -n '1,80p'\n code=$?\n set -e\n echo \"[exit=$code]\"\n echo\n done", "timeout": 600 } }, { "type": "toolCall", "id": "call_KF5kVtrBNo2RNng2LZlUOF0n|fc_0ff3a93ad93b26e40169fa6d123a888197bd8b4e1600861a96", "name": "bash", "arguments": { "command": "set -euo pipefail\nprintf '===== provider openai-codex explicit =====\\n'\nset +e\npi --provider openai-codex --model gpt-5.4-mini --no-extensions --no-session -p 'Reply with exactly OK' 2>&1 | sed -n '1,80p'\ncode=$?\nset -e\necho \"[exit=$code]\"\n", "timeout": 300 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2595, "output": 412, "cacheRead": 30208, "cacheWrite": 0, "totalTokens": 33215, "cost": { "input": 0.0064875, "output": 0.00618, "cacheRead": 0.007552, "cacheWrite": 0, "total": 0.0202195 } }, "stopReason": "toolUse", "timestamp": 1778019593546, "responseId": "resp_0ff3a93ad93b26e40169fa6d09eb448197ba23cc3598cbcc2f" } }, { "type": "message", "id": "977bcbcf", "parentId": "1cfc4318", "timestamp": "2026-05-05T22:20:39.628Z", "message": { "role": "toolResult", "toolCallId": "call_euUCNr1gufPK12zLLBYK5j4y|fc_0ff3a93ad93b26e40169fa6d123a7c8197ba2acfd2d13d88d6", "toolName": "bash", "content": [ { "type": "text", "text": "===== openrouter/qwen/qwen3-coder =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nOK\n[exit=0]\n\n===== openrouter/qwen/qwen3-8b =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nOK\n[exit=0]\n\n===== openrouter/qwen/qwen3-coder-next =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nOK\n[exit=0]\n\n===== openrouter/qwen/qwen3-next-80b-a3b-instruct:free =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\n429 Rate limit exceeded: limit_rpm/qwen/qwen3-next-80b-a3b-instruct-2509/94248808-ba97-4e3c-be60-1cb0928db51d. High demand for qwen/qwen3-next-80b-a3b-instruct:free on OpenRouter - limited to 8 requests per minute. Please retry shortly.\n[exit=1]\n\n" } ], "isError": false, "timestamp": 1778019639628 } }, { "type": "message", "id": "4ef974d3", "parentId": "977bcbcf", "timestamp": "2026-05-05T22:20:39.629Z", "message": { "role": "toolResult", "toolCallId": "call_KF5kVtrBNo2RNng2LZlUOF0n|fc_0ff3a93ad93b26e40169fa6d123a888197bd8b4e1600861a96", "toolName": "bash", "content": [ { "type": "text", "text": "===== provider openai-codex explicit =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nOK\n[exit=0]\n" } ], "isError": false, "timestamp": 1778019639628 } }, { "type": "message", "id": "8e491704", "parentId": "4ef974d3", "timestamp": "2026-05-05T22:20:49.079Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6d38ca588197b36172f257d7cc3f\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-m1AiCOTRfqIYxSTYdmffcrdsM65oyMQLAhRynIvLzcGVn6j7AKpcb7mN_-PbTKEF8fS85aaql89dqhuMNouxvIlxfgJc2UzXafPelW4kthUA4f28xc8aMxpHQF51pTYc-Fag1q3FxbD5dNuCc1ucvZiep2H_qyICSTCb7qeajTen2HgdfqmS6PZyJoWE9-4OGnCxLGSmXifpm3T5qt5aMb6txdSPT3Ka9_heXTv3FymhTMwR3gFf01eX0nYSn5Iy2CZLCcNuFphAZFXKePyvDyItt-txdL4szVh7DE64ejErLr7G9qcFfVtE86VZLnFsik0c5uPeM2xrYLQpXXS4DtkIl2zMTajgHUZw7R_zYdrD4MUHlOHnPzmlTpyBADd_doNuVcNtVBA7VaZxzQhVHc26g5PeM3nlxHlWpAHiU4tQrowXwBmbtJcyfcULCAcm3mjoloOSLPj0VxUEApyxoqrzOFHo2_nI5pTmhaOLQSLZScKOAUyzdE8xUe8QqBfhVgG65AljE46Ad5Oo1qWrpdEt0m39UIANKdOTbuEw8ghd0Z7QBE4i7K6SVovp2MPJeD4YRUn_-5aMAXkmsgbYn72rOpUMrT6eb_9i_-ezQ_sl7PUbmq05510dBoQtoqA-j-prpMLQaQAa5_j9E9Y0yZA9y-J7NqKGDbohhz8WNlKjgRMf-gKvwW3LC-Y8cENNiWD7SIMrzlQXYEXpp2KDr1WFWYiIzMxBMTfPjLVwXkYDQnHojP485ACFzCUlbwZCJM1yqW-ADwXtQ63c2udP0TeY7GGKSesX3Db9ejJVOQvySTf7DTpCiX2fNrQqqYX8JzG9BD5udDDS52XpExULpyBXQE-9CpiPdpoX4EuBn0zj9gTHMAxO4lHX9FOVmNNBy8u_Lou_bvwmwYD-3EUHrxpZjdPTTqHpexvsRwpH6fGCcYPUe2JyxmLDowtSWJfVX8ZQjXJQRYGuv0hHJOFZFttL7jpCkFcKfGXUXr0lxXlUdIaV_QsKdi3s9FyrtpW0oA0aO_4AouqvHIM_uczUM5IOXhFWZNBKO26EIaaHLsxWkKxAGRvlqk32c4DNnhn4KIHteb-HBSLYqz4gjqQ-9k5JXPSQe-6KiSicmvPc0THiPFbyrAlLCP0dzq1puz0IkQY6xngVd0-UZiW97uLWMbC_yU39chzEiGjXTtNNRCWD28HrOfCkOx1sOhBNOxY7Z7lqVJ2LOOdPXQRnoQJMT1wGLNYTA9F8fXAX7n6xbT7JQMw8EDLlS5-ynQX4GHDnKOrYWsmBJc6V5PFVMeipiA24g==\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_nKjoiSCcUAqnsMjutEm7XxyQ|fc_0ff3a93ad93b26e40169fa6d40eec481978c0f26cb2272b5d1", "name": "bash", "arguments": { "command": "set -euo pipefail\nfor cmd in \\\n \"pi --model gpt-5.4-mini --no-extensions --no-session -p 'Reply with exactly OK'\" \\\n \"pi --model openai-codex/gpt-5.4-mini --no-extensions --no-session -p 'Reply with exactly OK'\" \\\n \"pi --provider openai-codex --model gpt-5.4 --no-extensions --no-session -p 'Reply with exactly OK'\" \\\n \"pi --model gpt-5.4 --no-extensions --no-session -p 'Reply with exactly OK'\"\n do\n echo \"===== $cmd =====\"\n set +e\n eval \"$cmd\" 2>&1 | sed -n '1,80p'\n code=$?\n set -e\n echo \"[exit=$code]\"\n echo\n done", "timeout": 600 } }, { "type": "toolCall", "id": "call_rdHzOdm8ZPDTM8uurhotJxXq|fc_0ff3a93ad93b26e40169fa6d40eed48197ba64162d68e7a282", "name": "bash", "arguments": { "command": "set -euo pipefail\nprintf '===== inspect auth/provider hints =====\\n'\npython - <<'PY'\nimport json, pathlib\np=pathlib.Path('/home/sebas/.codex/auth.json')\nif p.exists():\n data=json.loads(p.read_text())\n print(sorted(data.keys()))\n for k,v in data.items():\n if isinstance(v, dict):\n print(k, sorted(v.keys())[:10])\n else:\n print(k, type(v).__name__)\nPY", "timeout": 120 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1473, "output": 449, "cacheRead": 32256, "cacheWrite": 0, "totalTokens": 34178, "cost": { "input": 0.0036825000000000004, "output": 0.0067350000000000005, "cacheRead": 0.008064, "cacheWrite": 0, "total": 0.0184815 } }, "stopReason": "toolUse", "timestamp": 1778019639629, "responseId": "resp_0ff3a93ad93b26e40169fa6d380e6881978cd8c65dea622b86" } }, { "type": "message", "id": "63a641d1", "parentId": "8e491704", "timestamp": "2026-05-05T22:20:57.332Z", "message": { "role": "toolResult", "toolCallId": "call_nKjoiSCcUAqnsMjutEm7XxyQ|fc_0ff3a93ad93b26e40169fa6d40eec481978c0f26cb2272b5d1", "toolName": "bash", "content": [ { "type": "text", "text": "===== pi --model gpt-5.4-mini --no-extensions --no-session -p 'Reply with exactly OK' =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\n[exit=1]\n\n===== pi --model openai-codex/gpt-5.4-mini --no-extensions --no-session -p 'Reply with exactly OK' =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nOK\n[exit=0]\n\n===== pi --provider openai-codex --model gpt-5.4 --no-extensions --no-session -p 'Reply with exactly OK' =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nOK\n[exit=0]\n\n===== pi --model gpt-5.4 --no-extensions --no-session -p 'Reply with exactly OK' =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nNo API key found for azure-openai-responses.\n\nUse /login to log into a provider via OAuth or API key. See:\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/providers.md\n /home/sebas/.npm-global/lib/node_modules/@mariozechner/pi-coding-agent/docs/models.md\n[exit=1]\n\n" } ], "isError": false, "timestamp": 1778019657332 } }, { "type": "message", "id": "1e5bc036", "parentId": "63a641d1", "timestamp": "2026-05-05T22:20:57.333Z", "message": { "role": "toolResult", "toolCallId": "call_rdHzOdm8ZPDTM8uurhotJxXq|fc_0ff3a93ad93b26e40169fa6d40eed48197ba64162d68e7a282", "toolName": "bash", "content": [ { "type": "text", "text": "===== inspect auth/provider hints =====\n['OPENAI_API_KEY', 'auth_mode', 'last_refresh', 'tokens']\nauth_mode str\nOPENAI_API_KEY NoneType\ntokens ['access_token', 'account_id', 'id_token', 'refresh_token']\nlast_refresh str\n" } ], "isError": false, "timestamp": 1778019657332 } }, { "type": "message", "id": "f105b56f", "parentId": "1e5bc036", "timestamp": "2026-05-05T22:21:04.048Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering model and job issues**\n\nI need to consider possibly patching the pi-loop to handle either the provider or the full model. It seems like the py jobs might have the same root issue if the model passes without a provider. I'll inspect the pi-job commands since the user mentioned py jobs, maybe they mean pi jobs? If jobs pass with the bare gpt-5.4-mini, the same issue could occur. I might need to create a fix and modify the script now, plus I should mark the todo completed too.", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169fa6d4a94a081979d48a3bdaa015fd2\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-m1PVLIXgfwl6rOH7fv3uNOCLonAz30Wa3TA_R-ry_qBoBLoa4R7ltYTnzErgFifVDMkkisVIyPG3IQtSI1B1QeY_0jLA8hJZwV4HgdL_qPI7nqiwLGIUUXYmMgQIFCHyQ9y2_KnOnE0p9-txSkuESYdz3jsKwtd1ZRYZFzvWA1woonoeBkZsXxv1_kMjZWa7iwCASnWfRIXoVLSUW-FOtGmXD7DyR_k8bfYl13lE5xlWwiS1Opt4mMhefzbZnmp_QKfixcVEU8XZ5r5cgh-mWBhP-UekfB3yvu5R9FGoJHiIACSfP6d5l9jos-I9oB7fd98KTpb6x19ZibETB7WLh_9csvMcnyRbZvkjk65_dns-9JHpSEnO8W4o-1d62Z7-PAl0YH_SRy5cmHPKjm2Xevp532u68mc4801z8y_GNXiuB1hOeQ5V5eAyc095MhnKEl28jolNDBNRTYgvFe-6DRmtiSYZiW8sU0OjqTicVkl9DL3LQJg8l5eorN0c3efKxzEvZiYBWV49uM6_otnqxpsxsUmqnFBl2ca-9llwr_m9l9M8nX4_wHQbqCAIjAa6kRjYRxKpExQKNQF4SnPid8j1Jix-kbPPpz2hReOcyGCCvScNn7H50RFQm7L2iqgnSJrd8DoAn9DSG2oQ36eUlgg3DzRbSn39jyDjploYXH-0zw0VTIZbZIsxGzPClFv2YvgAW--7PB79fx1Fa2aYlm1B8dtjJm3wYAm1pZYbp6hJvslbHvuHS5Muad_B6BfwAJkzBi-fR0Mhzu-XaDUmXjrjVBLrQzPKldIbbxiplBddXzJZpYCGh-i8rCTcFL23OZeQPegd6jNVFIbe3dl_FE8GqCIhjRSZvQe8b3vsQLi0CQSC9dMfqIOE7XRn1C_l70Zt0BxBMWfRRubDtfZbRHMUD3WpnDAnYJQ4CXd-9R1t2xvuPIg2N3VxSYnCwODcvg5Got992EkYbmQ-iHT7YYsbRaCaDBLDo9JxL2p2axi0yq0w1L77F5ei_cltuoE4pxnPG5VYVrfbxWBGHJmQWDBas6_ucielY2Wgt2kYpkhLL0XL_41wudRdzngHyykRZ-Cc4742WVgAtO5zzDDkVY4yuxq9duvG_9hU37QgvDJpY2A7R9GFkCaTyhE3VS_StEEGaxq3rmcTWUxDcUoCFjNBs8t6IEtfATJY4f_QMFtJnNgOVY14qgNy03m15a3lFXjbucCGniBWOG--WyTP_q-RUP6Ne5SPg_SfxSD7cl3dTtehYUlfqfZapNRshYj1JyIKhMHL62_zl0sxzlZGuDi9XKO7RUT2C9IEoGuBWiEho7uPvPwsopHLrQ5J4Agw1pTuicSrD94DAfTCNwreYSHCA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering model and job issues**\\n\\nI need to consider possibly patching the pi-loop to handle either the provider or the full model. It seems like the py jobs might have the same root issue if the model passes without a provider. I'll inspect the pi-job commands since the user mentioned py jobs, maybe they mean pi jobs? If jobs pass with the bare gpt-5.4-mini, the same issue could occur. I might need to create a fix and modify the script now, plus I should mark the todo completed too.\"}]}" }, { "type": "toolCall", "id": "call_lwWhxKpIqpQLm4x4ZROTTyVp|fc_0ff3a93ad93b26e40169fa6d4faadc8197bd7ca51f2b898e75", "name": "todo", "arguments": { "action": "update", "id": 1, "status": "completed" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1518, "output": 101, "cacheRead": 33280, "cacheWrite": 0, "totalTokens": 34899, "cost": { "input": 0.003795, "output": 0.001515, "cacheRead": 0.00832, "cacheWrite": 0, "total": 0.01363 } }, "stopReason": "toolUse", "timestamp": 1778019657333, "responseId": "resp_0ff3a93ad93b26e40169fa6d499cbc81979d6267f894cf44de" } }, { "type": "message", "id": "0db24b1b", "parentId": "f105b56f", "timestamp": "2026-05-05T22:21:04.049Z", "message": { "role": "toolResult", "toolCallId": "call_lwWhxKpIqpQLm4x4ZROTTyVp|fc_0ff3a93ad93b26e40169fa6d4faadc8197bd7ca51f2b898e75", "toolName": "todo", "content": [ { "type": "text", "text": "Updated #1 (in_progress → completed)" } ], "details": { "action": "update", "params": { "action": "update", "id": 1, "status": "completed" }, "tasks": [ { "id": 1, "subject": "Diagnose pi CLI invocation/auth issue", "status": "completed", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" } ], "nextId": 2 }, "isError": false, "timestamp": 1778019664049 } }, { "type": "message", "id": "bc1edd75", "parentId": "0db24b1b", "timestamp": "2026-05-05T22:21:16.600Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Encontré causa exacta.\n\n## Qué responde y qué no\n\nFalla:\n```bash\npi --model gpt-5.4-mini -p 'Reply with exactly OK'\npi --model gpt-5.4 -p 'Reply with exactly OK'\npi -p 'Reply with exactly OK'\n```\n\nError:\n```text\nNo API key found for azure-openai-responses.\n```\n\nFunciona:\n```bash\npi --provider openai-codex --model gpt-5.4-mini -p 'Reply with exactly OK'\npi --provider openai-codex --model gpt-5.4 -p 'Reply with exactly OK'\npi --model openai-codex/gpt-5.4-mini -p 'Reply with exactly OK'\npi --model openrouter/qwen/qwen3-coder -p 'Reply with exactly OK'\npi --model openrouter/qwen/qwen3-8b -p 'Reply with exactly OK'\npi --model openrouter/qwen/qwen3-coder-next -p 'Reply with exactly OK'\n```\n\nRate-limited:\n```bash\npi --model openrouter/qwen/qwen3-coder:free -p 'Reply with exactly OK'\npi --model openrouter/qwen/qwen3-next-80b-a3b-instruct:free -p 'Reply with exactly OK'\n```\n\n## Conclusión\n\nEl problema no es `pi-loop`.\n\nEl problema es resolución de modelo:\n- cuando pasás `gpt-5.4` o `gpt-5.4-mini` sin provider, `pi` lo manda a `azure-openai-responses`\n- en esta máquina no hay credenciales de Azure\n- cuando forzás `openai-codex`, anda\n\n## Impacto en tus jobs\n\nSí. Tus “pi jobs” probablemente sufren lo mismo si llaman algo tipo:\n```bash\npi --model gpt-5.4-mini ...\n```\n\nsin:\n```bash\n--provider openai-codex\n```\n\no sin prefijo:\n```bash\n--model openai-codex/gpt-5.4-mini\n```\n\n## Fix recomendado\n\nUsar siempre uno de estos:\n\n```bash\npi --provider openai-codex --model gpt-5.4-mini ...\n```\n\no:\n\n```bash\npi --model openai-codex/gpt-5.4-mini ...\n```\n\n## Siguiente paso\n\nPuedo hacer dos cambios ya:\n1. parchear `pi-loop` para que si el modelo no trae provider, le meta `--provider openai-codex`\n2. revisar y parchear también `pi-job-*` para que no vuelvan a caer en Azure por default\n\nRecomiendo hacer ambos.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169fa6d51a3288197abbbc658ea24ff50\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 614, "output": 578, "cacheRead": 34304, "cacheWrite": 0, "totalTokens": 35496, "cost": { "input": 0.0015350000000000001, "output": 0.00867, "cacheRead": 0.008576, "cacheWrite": 0, "total": 0.018781 } }, "stopReason": "stop", "timestamp": 1778019664049, "responseId": "resp_0ff3a93ad93b26e40169fa6d50b38081979b7d02331edf2339" } }, { "type": "message", "id": "505c5dff", "parentId": "bc1edd75", "timestamp": "2026-05-06T05:14:25.942Z", "message": { "role": "user", "content": [ { "type": "text", "text": "proba poner openai-codex default dale" } ], "timestamp": 1778044465934 } }, { "type": "message", "id": "226933a8", "parentId": "505c5dff", "timestamp": "2026-05-06T05:14:34.445Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Investigating settings configuration**\n\nI think I need to edit the settings, specifically the defaultProvider, which might be experiencing a bug. The user is asking about testing the default setting. It seems like I may need to modify the settings.json, but I noticed that the default is still set to Azure. I should investigate to see if the provider should actually be OpenAI. I’ll inspect the auth/config area to understand what’s going on.", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169face346808819792e240c5a655186c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s46GZf_lWstpym_IgFqThmOItR1ePQGB5cOd22ojJj23g_PF47HLZTl-iIyG3lqIFAZ0zWe5oYicWwTRvdUFBq7rlVTinYEbGKAz61aSfEwf2LkT18VVESG_CXuk9vaihtd2kO_9G_USE6V79wtu-uP9cQyahk2dmoqgnzOolItG9T0alUOG1YER2bjgeSc7Gs49Tnw3xW6IbiYGG3q8qmBGXbJ_zJdr3ZPNV6CTIasH8BRgCnOsOT92ilHNbp1zEOph5ldVx0irDPtg4XZOtK53dxrEU8hZIqJV26JdV1FWvPV0PdvdPJk5yWG8dmcEFPDnIx_xYlc6daLb_UbJrGnLTSsl1zjxaXTFt2FQfnteI6WGGbrH6c9_o-JlXV6IA70NF8-nGcrHs4xjdaguisYf4odgjXQr9YSBpDvpbPXd6ZO981eSRDdvU5E5CFvR50o0FdiIzT1Qzsv0Q9he_ExAG7LiB8Q0pyUu7TTBL5c4BhSn6o9n1tgFI2FrSdGapGSiSm9shwr_4iQHfoxQSlRQIzPtes5gpdciQwsbqhroMXa3yqnbiCEC-hL1iQK9Es6LKAev_f5gvoD7ef5gJxWhuJv58ORiIUyQJ8q7tiD5P8pzV10dBTjd0ZkNyftLbzQOLZvpLDsjpa4URP6iT8hto_xxYQufyshseaD4Jb-o0SqH6FQ5Trbr0SnWDbp06wPaRpvXJZhviwdMA3Gs0DU43UV0pHKNE9xztdPMoGUsR8y4C3K6FPiTpFGuRjKd0jqt_jtSL6uLn36M5weIq3dYj-U9YEHFKuAfDO2-otGgMEluc2dWmW4wVeAAltGArHJAFt0VRUdZ6GLXrN9FgGRrriXKJCNA3pBDIvv0JYGh9Y1NQx2sgqjlc7aW4ZOlEntj7R00CZ6XOPamgL-pykDlCngJ_bx4ObI5x39e3QTv4ajG-lehvDtJA_ZoKh1wO2hCAqZz6LD04hDrc4CnHbTGtjRRFUA7SXcRw6nFifmhEEBNdQ0ZGAzFVNh0VHuhUilnk97GV98To-m5oPBIEgw0ejfQGcGsBds6Sqtz-r2xu7QoObfCQzvXu7eyB11azT03eTj-JjPieqW7LKd4sa9OJ7VTZuyJ4zMgQg7a2ODH9A1-X3vQnqU1v-xHlCfdSYYAcBqPDUNppd5DiwB1ewuHrzAGxogO5vB_cHFQ0PqZN5h2TaNh4xOdqaT83Xjjf8FMoJV06FLJpOKfzkfjfN49znTX_pj57f4fgXvYE1RS1t1nyFd2HKQYqI8e7nMb6WXXsM0Pkk8nPoNIR8u7R_ffw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating settings configuration**\\n\\nI think I need to edit the settings, specifically the defaultProvider, which might be experiencing a bug. The user is asking about testing the default setting. It seems like I may need to modify the settings.json, but I noticed that the default is still set to Azure. I should investigate to see if the provider should actually be OpenAI. I’ll inspect the auth/config area to understand what’s going on.\"}]}" }, { "type": "toolCall", "id": "call_KAIf8SjyIY85qcjW3HnizH36|fc_0ff3a93ad93b26e40169face3a45788197bbafc572802a553f", "name": "bash", "arguments": { "command": "set -euo pipefail\nprintf '===== current settings =====\\n'\nsed -n '1,120p' /home/sebas/pi-config/settings.json\nprintf '\\n===== pi config dir =====\\n'\npython - <<'PY'\nimport os\nprint(os.environ.get('PI_CODING_AGENT_DIR'))\nPY\nprintf '\\n===== search openai-codex refs =====\\n'\ngrep -R \"openai-codex\\|azure-openai-responses\\|defaultProvider\\|defaultModel\" -n /home/sebas/.pi/agent /home/sebas/pi-config 2>/dev/null | sed -n '1,200p'", "timeout": 120 } }, { "type": "toolCall", "id": "call_4kKqabWj0WberBbrtqpm2uVY|fc_0ff3a93ad93b26e40169face3a45888197b6de945133a2e50c", "name": "bash", "arguments": { "command": "set -euo pipefail\nprintf '===== baseline failing call =====\\n'\nset +e\npi --no-extensions --no-session -p 'Reply with exactly OK' 2>&1 | sed -n '1,60p'\ncode=$?\nset -e\necho \"[exit=$code]\"", "timeout": 180 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 35187, "output": 323, "cacheRead": 0, "cacheWrite": 0, "totalTokens": 35510, "cost": { "input": 0.0879675, "output": 0.004845, "cacheRead": 0, "cacheWrite": 0, "total": 0.0928125 } }, "stopReason": "toolUse", "timestamp": 1778044465944, "responseId": "resp_0ff3a93ad93b26e40169face327a4881979921f72f0e2ce993" } }, { "type": "message", "id": "c8b5ae9f", "parentId": "226933a8", "timestamp": "2026-05-06T05:14:40.260Z", "message": { "role": "toolResult", "toolCallId": "call_KAIf8SjyIY85qcjW3HnizH36|fc_0ff3a93ad93b26e40169face3a45788197bbafc572802a553f", "toolName": "bash", "content": [ { "type": "text", "text": "/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:29:{\"type\":\"message\",\"id\":\"91b68d79\",\"parentId\":\"cda63f1e\",\"timestamp\":\"2026-04-30T19:19:32.669Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"**Exploring OCR tools**\\n\\nI’m thinking about using OCR, perhaps Tesseract? I could look into combining that with an image-reading tool. I wonder if using the read image function would be helpful, although it might not attach well. I think it’d make sense to stick with the Tesseract command since it seems more reliable. I’ll evaluate the best approach to get the images read effectively. Let's get started on this!\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab406cac81978ff865d857b1337a\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86tELOJX1jPNm1lp4pKI2XqY9JuWNP-bWSGid7klAQ4qh97RgS8J2PkODCZ20c8IBgNErI6NS6022S_J81SqwIEdhGW799zpE4WeVWeEdb_ziPi8Uc-vT0OmqwGqOZpFz_JKCA-PmmGjTMiNwpANqmw-14Re3vyuvfAdQIEMO1-NXmXGa-H-Jf_bN3ieRZZmRSmCLI75zUCNtCOYR7HcwK25bBrH70wo6osXAHmjVyek5KrtKeBjjGUebvPOjeLE-KURNXW-FAhPOP82g_AvSi4iawwVWeyC3HUODU7yULPTqVlh31hJs01VzRaLrFP-Gz0rk1DuwU2Mt80IVZwMMYkyAv_W8zLsjimaleJQZf0iUUsf-R0zGyrX-v7nvns6POLNg56vPDDUopBvDkuTaFdT16ZS7LJ3RwtzQPGp3qNyt2hqBAnr90_5SCn_ERLolnLspS1zREgwipETIq4pSeyAYm07FgHWPha4X1950CQho9urzM1JflRviDV4UTPsQ0GraVOB1rmr2n0ffz2LjXT99MsAzBPmPtGeDpMPxb3jrjO-31ZI4VL91zw_Rp5fLeVryWlDF8K2rUVj32diIElJx0uc3tJ8u8hNhJMWftWmE3geaDcofTFTDalmHkHSKG94gvn64ITSSyNnB72Nme4cZFqS4GZqo5p6ax3oyTLheYZCkRrA1cXPssREUPUu-13NL6vmHhFLYsCNvGPgnRkA97qiyAg6Be9lhLIbZulW2hUD2l0c_3fS3vPNOoVOuvsu4RKCrZzyfBuTjAHC4GPy28x_tLEpPJA019A5PFwje02wMYfi547tHkx66_NlFY0Y0d_D_gO1T2tvH1YbZ3Ej2faCmYrK4JAgSw0EG-2DdILoFxRkgJQ3P8PoKAMpa2ij54tXfBe-DDLHJWaKkJJcc8vPAi83IdM92DlvA5A0K-nwT6f7_oX-YqqaaHIG8DWaakBBczeky74zN69_hrCAEjl3gHcYOxuN4v7XZqsPMu6ihSa-HpTwQV5z7iaGnO8v_KnjNJcImSpri469o0_ooz1WG_CZRapZIeMKezQi-NAUBRE74zeURSRj6fwT7pQtMU6wePJNMgfuPNpo683flgpvbt99pgWzRPOF0w7N1ehwGuvcEtnLrCDI9f_RHwqvkL5-nIPvk2EA8TJ6f6f5Uw==\\\",\\\"summary\\\":[{\\\"type\\\":\\\"summary_text\\\",\\\"text\\\":\\\"**Exploring OCR tools**\\\\n\\\\nI’m thinking about using OCR, perhaps Tesseract? I could look into combining that with an image-reading tool. I wonder if using the read image function would be helpful, although it might not attach well. I think it’d make sense to stick with the Tesseract command since it seems more reliable. I’ll evaluate the best approach to get the images read effectively. Let's get started on this!\\\"}]}\"},{\"type\":\"toolCall\",\"id\":\"call_irps4L3Kir8vQjEUmWrJhsPc|fc_0e0bc118e417203c0169f3ab44132c8197b927bc9b8b7293a5\",\"name\":\"bash\",\"arguments\":{\"command\":\"for f in /tmp/yt-tcn-manual2/frame-*.jpg; do echo '---' $f; tesseract \\\"$f\\\" stdout 2>/dev/null | sed -n '1,40p'; done\",\"timeout\":120}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":627,\"output\":116,\"cacheRead\":42496,\"cacheWrite\":0,\"totalTokens\":43239,\"cost\":{\"input\":0.0015675,\"output\":0.00174,\"cacheRead\":0.010624,\"cacheWrite\":0,\"total\":0.0139315}},\"stopReason\":\"toolUse\",\"timestamp\":1777576767239,\"responseId\":\"resp_0e0bc118e417203c0169f3ab3f9b6c8197b55c2d707706467c\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:31:{\"type\":\"message\",\"id\":\"c3d55aad\",\"parentId\":\"a06887ce\",\"timestamp\":\"2026-04-30T19:20:07.834Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab46db908197bc0d41127744fdd9\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86tJMqm0SUOuz6DpQPUnEOMiISxys72Nf2tTllUFjcahBlA__iCIy1b2sEH7xxlGrEFATfojm1BI_zrJtRrfW5fHTYcaw0EMX2J_zGjlK_-tsOuZ7aR8mEGbfNnhyaM_zNOGU7F5bmupnDa395p9MLWBIgbI5xwMt8r3qjgFqyVtEzKTrxEc7-vv-3ZG0k7oD8tPhrRILZnbiRYtrCRP09QmRhcV7WGr07KKEm2OZ_tSLyxIGWAm9W1nE-Vm5b4qoMHPsSSCuNhBvXsu9NYw6aErSdzOvpEWXPkBtedLISiNCffAeLmyhCVUd6YobQuDAj02nCaASWLUNmcURbuc-RZ_G83gfkFzhP-nhpGtnB-VpId_I5ZGK6unbqf5LimxAK7ef6dXIsttqeLyJt1cepxJpE16SsingVvFFJbLY9oGTvgOtHx1dvgXxAaQOuC96VdSQYVjrMqrwK8HJ45KsOvbv7y33oHQZfxpDH1pyjD0Pe7yDeseH1IN3QQviouu8Zyt8QalJFX9ki4u7IuYhnVIRs7PFxbuip05llE2Cy6uAkEGZtFWp8mVd3AifDiwKL0b4mzGwRYhP_Qao8Ed6cTHwZuTTgp7IM6hbmneUfrWolYe3MoE6Rlwq4Rf1LDZ_RFGPUrk4PCh9adIERJ_OWIi4-SL5LkWHbKFJTbThTlJjqQGL4FmNzd0jxJ-QlKU5vg_lwnpeIHfcS_Pq31zhbWjUUXfi_1MpPx-hnfLuSQYpI38OW3f410ROrQsu_fdEEXzuKRlK3GqPREzvNfXUyVTRs05D6DAsy6Ihl4QkIa9WHp50uYGXxi4oPWXgQdslOAhTkeQreMH-Qqkb2_Cuu7juAr39s07vhwl-J4LuNhp8qsz7zpzN_t1UGX-LLTaJFhETXNmm313qksORvB26Qjb9pdacXB22YW7JoPhlNeMRyKVhX2olZpiwzKLKHA3qjnvQyH2F5vdJAes00rVblGciXN09gpxEsVlWJhNxBpP2gZCrfVBBIwkB7WmIIRPOmp5BEEAHuwNr1VmuHacEYSBoonO5uxRjfOAGRu0fdWZPiXhrxejIt0Ht4jS8DcIeyZ7JeVgH5N3MDfJryQRRvGA9bXkvf21RuPNTxATwSa6A3jz4N8RwM9OSymCSs8YBXuBIgMBEbUEdh4anc7QcLRaqFSEXwqnwLoWHHfNnNHvMBcGKISrojFB2jVxwCcYy8M04EpsZFW49kJK7RsYBvIha7ngjk1Obn7E3RFHux3HL3hAs0qpxqJLpB5G4T4-10De19_miN-kJRFc7QLfZLKuQ2BehJhw-3jAESMgisEFQ7fA-jYmluGt7YQRcnTpz7wc9j5na_dYzEba5jBlk3EoxUcY_g6dpdvk5OWKkwkF1j41gST3-4ZOfHN3XiHX9eQdz8t6QvL4Fub0E8p0r0QdoCrrjYsS64_Jj-KKuvninJyCVWdaD3CxOXsq-VxgkkcNFpoMPnNy3rKrO0FwwfT-ryKN30y56TTq82mgniowzjGtVEdMOWEEwa95wGUFgS9aQQsb_Va8Ppjf2dNB2v9Ck8bL-cXfMHsYmzomT65ZJ_EnlnURq_H9DUJljl4JMqKHQ5Th0UjIggQJBBl5ku8jY9FtbB9dx1q2jW5R87n9XKmqxaiNL1sZY1yJ3gOImmw4zEy4sVkJAIqWQsOFBvzKP_YHMD3MHs3CPjEqJsMXVHL7VzW8gCONlnz9GNEgwqNPDTc-d4BAP8QFUZKmQQHTHW1tXKfaZs9djDV5GGET2W4vaGkdBRx58u1kBof3qquZo8dUiHRR27XSstPkYfaVltNK7_R8xQ3doTCXNxib7B8=\\\",\\\"summary\\\":[]}\"},{\"type\":\"toolCall\",\"id\":\"call_Toxnbrx1YZ0BpYNZrGzjLwvs|fc_0e0bc118e417203c0169f3ab49e91c8197b4fc22b63b97eda3\",\"name\":\"write\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/docs/vending-machine-setup-day-manual.md\",\"content\":\"# Vending machine setup day manual\\n\\n## Purpose\\n- One Ballbox-owned setup manual for arrival day.\\n- Focus: first power-on, cloud onboarding, media upload, payment readiness, and go-live checks.\\n- Target machine family from current research: TCN CSC-8C(V49) or closest 8C/49-inch equivalent delivered by supplier.\\n\\n## Inputs saved for this manual\\n- Research base: `/Users/sebas/Downloads/deep-research-report.md`\\n- Video reference: `https://www.youtube.com/watch?v=Qwbp3muM7gA` (`How to upload videos to the vending machine`)\\n- Test cloud: `https://dnymer.ourvend.com/#/login`\\n- Test user: `cc`\\n- Test password: `ys123456`\\n- Production note: real cloud + production creds arrive on machine-delivery day.\\n\\n## Non-negotiables\\n- Do not blind-flash firmware from another model family.\\n- Ask TCN/supplier for exact package matched to serial number, mainboard revision, screen family, and payment-module BOM.\\n- Prefer Ethernet first.\\n- Set correct date, time, timezone before any cloud or payment test.\\n- Do not enable live payments until cloud status, product sync, and vend tests are clean.\\n\\n## Day-before checklist\\n- Have Chrome ready.\\n- Have Ethernet available on-site.\\n- Have extension cable / stable power / grounding verified.\\n- Have phone hotspot as fallback only.\\n- Have Ballbox test payment account ready.\\n- Prepare a shared note with:\\n - machine serial\\nn - model label\\n - screen family\\n - payment module model\\n - cloud device id / qr / barcode if shown\\n - venue / club / machine nickname\\n- Ask supplier in advance for:\\n - tenant invite or confirmed cloud login\\n - exact firmware/build package\\n - service PIN/password\\n - open-device / payment API docs\\n - device ids / serial mapping\\n\\n## Arrival and receiving\\n1. Photograph crate before opening.\\n2. Record damage, pallet status, labels, serial stickers.\\n3. Confirm actual machine label.\\n4. Remove all transport foam, tape, tray locks, pickup-box fillers.\\n5. Check:\\n - screen glass\\n - bezel alignment\\n - lock / door\\n - pickup box flap\\n - payment bay\\n - leveling feet\\n6. Level machine before vend tests.\\n7. Record all ids in shared note.\\n\\n## First power-on\\n1. Verify local voltage and grounding.\\n2. Power on with Ethernet connected if possible.\\n3. Set:\\n - date\\n - time\\n - timezone\\n - language / locale\\n4. Confirm internet reachability.\\n5. Test touch on corners, lane buttons, payment buttons.\\n6. If touch drifts:\\n - clean glass\\n - remove temporary protector\\n - retry\\n - use built-in diagnostics if present\\n - escalate to TCN for exact touch/display package if still broken\\n\\n## Cloud onboarding in OurVend\\nPortal:\\n- URL: `https://dnymer.ourvend.com/#/login`\\n- Browser: Chrome preferred\\n- Current test creds:\\n - user: `cc`\\n - pass: `ys123456`\\n\\nSuggested order:\\n1. Login.\\n2. Confirm tenant, timezone, currency, and role permissions.\\n3. Create or confirm device-group hierarchy:\\n - Country > Region > Club > Machine\\n4. Create/bind machine record with:\\n - serial number\\n - model family\\n - location\\n - timezone\\n - language\\n - temperature profile\\n - currency\\n5. Confirm machine appears online.\\n6. Confirm heartbeat / last-seen timestamps move.\\n7. Load initial catalog.\\n8. Push one safe remote change:\\n - product name or price\\n9. Confirm device receives sync.\\n\\n## Media upload to the vending machine\\nSource: public video `How to upload videos to the vending machine`.\\n\\nUse this as the operator checklist once inside tenant UI:\\n1. Find device-management / media / advertising section.\\n2. Upload one short test video first.\\n3. Assign video to the correct machine or machine group.\\n4. Publish/sync.\\n5. Confirm playback on the machine screen.\\n6. Then upload final production media pack.\\n\\nDay-of validation points:\\n- supported format accepted by portal\\n- upload completes without silent failure\\n- media can be assigned to the specific machine\\n- machine pulls new media after sync/reboot\\n- playback is full-screen and touch flow still works\\n\\nOpen items to confirm in tenant UI:\\n- exact menu path for media upload\\n- supported file types / size limits\\n- whether media binds per machine, per group, or per playlist\\n- whether manual sync/reboot is needed after publish\\n\\n## Payment integration status\\n### Current Ballbox position\\n- `/admin/payments` stays a Ballbox operator test/debug harness.\\n- Production vending flow should go through TCN machine protocol.\\n- The machine should show the buyer-facing QR on its own screen.\\n- Ballbox should own payment creation, webhook validation, approval persistence, and reconciliation.\\n\\n### Why this still looks valid\\n- Current research still supports OurVend/TCN as cloud + device-control layer, not the owner of Ballbox business logic.\\n- Public evidence still points to secret/signature-based device-open access on the vendor side.\\n- The deep research report still supports backend-owned dynamic QR plus vendor-side vend authorization as the safest default architecture before exact tenant docs arrive.\\n- Nothing in the supplied test cloud login changes that direction by itself.\\n\\n### What still needs real-world confirmation on setup day\\n- exact payment-init payload from machine/cloud\\n- exact vend-success callback / notify path\\n- exact `CodeUrl` expectation: qr payload vs link vs provider-specific deep link\\n- whether payment completion relies on callback, polling, or both\\n- exact auth/signature shape for production tenant endpoints\\n\\n### Setup-day payment test sequence\\n1. Confirm machine online in cloud.\\n2. Confirm one vendable product exists and is mapped correctly.\\n3. Confirm Ballbox test payment flow can still create QR orders.\\n4. Confirm machine/cloud can request payment init against Ballbox adapter or stub.\\n5. Scan QR from phone.\\n6. Confirm Ballbox receives provider webhook.\\n7. Confirm approved payment persists with canonical machine correlation.\\n8. Confirm TCN side receives success/notify signal.\\n9. Confirm physical vend succeeds.\\n10. Reconcile payment, vend result, and inventory change.\\n\\n## Go-live acceptance\\n- machine online and stable\\n- correct timezone\\n- touch OK across screen\\n- at least one product sync OK\\n- price sync OK\\n- media sync OK\\n- payment test OK\\n- vend test OK\\n- retry/error path observed at least once\\n- all ids and creds archived in internal ops note\\n\\n## Escalation packet for supplier / TCN\\nIf something blocks setup, send all of this together:\\n- machine serial\\n- model label\\n- screen family\\n- payment module model\\n- current firmware/build version\\n- cloud tenant name/url\\n- screenshots/video of issue\\n- timestamps with timezone\\n- whether Ethernet or Wi-Fi\\n- last successful action\\n\\n## Related repo docs\\n- `docs/tcn-payments-integration-plan.md`\\n- `docs/tcn-payments-open-questions.md`\\n- `docs/tcn-payments-execution-plan.md`\\n- `docs/payments-machine-rollout-rfc.md`\\n\"}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":362,\"output\":1817,\"cacheRead\":43008,\"cacheWrite\":0,\"totalTokens\":45187,\"cost\":{\"input\":0.0009050000000000001,\"output\":0.027255,\"cacheRead\":0.010752,\"cacheWrite\":0,\"total\":0.038912}},\"stopReason\":\"toolUse\",\"timestamp\":1777576772697,\"responseId\":\"resp_0e0bc118e417203c0169f3ab451e408197ae889c1416d4f7c7\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:33:{\"type\":\"message\",\"id\":\"81201e58\",\"parentId\":\"ff50b24c\",\"timestamp\":\"2026-04-30T19:20:12.527Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"**Fixing typos and updating index**\\n\\nI noticed a typo in the line that needs correction. I should update the index accordingly to make sure everything is accurate. This is part of my plan to keep things relevant and organized. Let’s edit that typo and ensure the information is clear and up-to-date! It’s all about making those little adjustments for the best final result. Okay, time for a little text fix!\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab68e52c8197b0b01233681fa06f\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86trlF-UdSgdeZ2Hh0xO-U3oRARKhLWlifG6CGrXqjSESwu6X1uQxS8-ZO8-lqd4yIKUzb3v1PWChHcchj6Gg27NHZTIhzuI4qEt5GinHj84lL20TuKhjL8gIKHNXTJh1B1k7eEu3qbRy8ruBB2iyrUqoXLTU8QkOwSJQVMJufJUZv3zGyeOVgMezIm9bmnQzv9VLANkYUtFfhN6OOCckYdJ1AV4CNdQoxbF5kjNDYDITQm1GU7VSgtp_-GryJSw3a4D2pt3BeqIiQuaysLAE311hMAi8n0meiH1wbGwQ7wybGBcVRLzFrhTlWTxQcb8nQhBxdf0xoTL-9oxr1qvKCSIBxeVTu7zjwgAF6DJ3c0eLCeL2q35yAlanndDUVHFlqk4J2i-pThYFb_aIgbLrJfUjKvUr0ptbtGAetPl3xTOoEW_F5_aCm6L8SdbxndeNYoK83AnbvIcHPL_s4OPy5Cj7uoaZ-J9n86s97jAneDsdYybkjQODk1xWSVngySKFhmSEnYNoMXl1N-WfWgpY6ZJFlsabII_iicbZgSm8J_Sd5Z-tLCt-K1iCw_1o8189YM81lX-qpZ5yrx7pEGFlDDzQE9z89CpzIhQzZwAFRiaDKT7r8wbqu0c395BuYr_wp70EECPJZRnVK6rRItNKExLJt9UVhZ4V0463IswdOe4TLL-R8VLvoxCcM9SgnV8EbjUFqEM2IwA9cokJpE1TplMQXAOIj5S_6FvysnNxZaUrJse4XAhAgdrD5WHaKMcSS9k1pwourBbgIk6XiT86OmL2s21dMn8ikKTqmNzCXd9RU2JGgGKyrsLKjyzOvIpMbu5qgJFAFYkvRrfaIa7IQqJWvMhkcuZBW5NazM6u_hoOnWrx-M5bbaXderbVNV_GOtR3UM94RVv8a_vCLw6YvlTUlQtY71cZ2Jhd5LfgDGbZ9PQ6SWf_4rFzVGf3tdm8rU0U-MLWWb-8K7f-jYzsCYz0sCVa9aR-PLjJdS2rTwXmEQugrkdgla1LPCSjsAZWnSqpvZ1AuHahDoDe7mMjLD3tg==\\\",\\\"summary\\\":[{\\\"type\\\":\\\"summary_text\\\",\\\"text\\\":\\\"**Fixing typos and updating index**\\\\n\\\\nI noticed a typo in the line that needs correction. I should update the index accordingly to make sure everything is accurate. This is part of my plan to keep things relevant and organized. Let’s edit that typo and ensure the information is clear and up-to-date! It’s all about making those little adjustments for the best final result. Okay, time for a little text fix!\\\"}]}\"},{\"type\":\"toolCall\",\"id\":\"call_Hk4QMVltbWi0osSc1UZhS4TZ|fc_0e0bc118e417203c0169f3ab6b831081978d34700d4416d665\",\"name\":\"edit\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/docs/vending-machine-setup-day-manual.md\",\"edits\":[{\"oldText\":\"- Prepare a shared note with:\\n - machine serial\\nn - model label\\n\",\"newText\":\"- Prepare a shared note with:\\n - machine serial\\n - model label\\n\"},{\"oldText\":\"## Media upload to the vending machine\\nSource: public video `How to upload videos to the vending machine`.\\n\",\"newText\":\"## Media upload to the vending machine\\nSource: public video `How to upload videos to the vending machine`.\\n- Treat this section as an operator checklist, not as a verified exact click-path yet.\\n\"}]}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":2220,\"output\":190,\"cacheRead\":43008,\"cacheWrite\":0,\"totalTokens\":45418,\"cost\":{\"input\":0.00555,\"output\":0.00285,\"cacheRead\":0.010752,\"cacheWrite\":0,\"total\":0.019152000000000002}},\"stopReason\":\"toolUse\",\"timestamp\":1777576807868,\"responseId\":\"resp_0e0bc118e417203c0169f3ab6833688197b44a455035c71a32\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:35:{\"type\":\"message\",\"id\":\"bc12cdd5\",\"parentId\":\"460d6812\",\"timestamp\":\"2026-04-30T19:20:17.750Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab6e79a481979abf8a5bac0c7148\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86tv8fb9-iSx_JvSXroqOofk81Cab7kUi4fGAB7AsTvMnkmnvhusl2zXzq8Jmz2eAjHL1DkaYd942uP8_cOe8WNOcAurG2cjrrHTtQs-CGrnFwl_rP5yZM3Sa1YEsuCsF0KDMa6V5PRf0ydAE6t12bWqvYea2Q1n4nFZKlCUDno4Jqigs-yfbE6NBRMc1aybdHQMbpXB9usikcryDo9O9PkRu2k4sjHVYz-f2F88KM4ywP2_viRN5r7Q1xalAJPxJCQVXThzJGixZDf0P-DRHo5hBt9f2oOp6j6yNfSfxlhHREb4mo3HpEWf_oGxSHemSky1653mS13XMNI8pfl6noeAY42BSpzgp_P1NWtQUcqGKtwFeIGGm7XKc2exANuEkrfjlnjEaBbjhihqlbWmOf6ilqJFa0p4tk74Zpbpa58tiyqT6EcIlmHRsYKrWPUjbDtZfls_IF2OTsoXV_hOKggJMr-55IPXad-FQ3qWQAzN1ELGLvPrBSxE1L0JtxcrOL7-kUd9UeJTH54Z81v7XtyniY6566lB4XJrDd3fHps322V_9LUwk1-t4sJZTMcsl3QvD-5Sft9w-lmZRm5BTJvsuibvI64ZmsOwyJnJT4lDOonLC1Gx6qJ776ip8NwnJ_xgbM3GhsXjMPhvUXSIuX31VPUlXWQbf4Pb7Blx2-rY9_x1XABncwcqFWZpT5DxM1OTiFNfENvm7rRkoA33RWnUiJB7fnoAAApxXqOTvbUdOU_vUHVM-FpFb-YHmk01Gop1YOm63_P4QZ_r2yOh8uk_UPeZRSGnHKhmLArGN57Ea9HZ9cYduJ544-KZ_aRn79Aiq609IGLNrns8QqodTeDNxpcX8TNS53bO1qUV0opz4n5pThlt2lZ3fbmkEsUs_n4bBU23losn0oDr65V2VaTWEqfQPV57bmXjq9QLBkzonLPLAtgEWj2Z66loJNny92gR\\\",\\\"summary\\\":[]}\"},{\"type\":\"toolCall\",\"id\":\"call_lNaA8GHRDrAe4AqUghkNQGd4|fc_0e0bc118e417203c0169f3ab6f03408197a4bd4086ee967f1e\",\"name\":\"edit\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/docs/index.md\",\"edits\":[{\"oldText\":\"- `docs/demo-iteration-mode.md`: rapid demo delivery model with anti-debt guardrails\\n\",\"newText\":\"- `docs/demo-iteration-mode.md`: rapid demo delivery model with anti-debt guardrails\\n- `docs/vending-machine-setup-day-manual.md`: operator setup-day manual for first TCN vending-machine arrival, cloud onboarding, media upload, and payment readiness\\n\"},{\"oldText\":\"## Current Build Docs\\n\",\"newText\":\"## Setup And Operations\\n- `docs/vending-machine-setup-day-manual.md`\\n\\n## Current Build Docs\\n\"}]}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":405,\"output\":170,\"cacheRead\":45056,\"cacheWrite\":0,\"totalTokens\":45631,\"cost\":{\"input\":0.0010125000000000002,\"output\":0.00255,\"cacheRead\":0.011264,\"cacheWrite\":0,\"total\":0.0148265}},\"stopReason\":\"toolUse\",\"timestamp\":1777576812547,\"responseId\":\"resp_0e0bc118e417203c0169f3ab6ce82481979946d788bacca4dd\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:37:{\"type\":\"message\",\"id\":\"7b6cfb52\",\"parentId\":\"929761eb\",\"timestamp\":\"2026-04-30T19:20:22.232Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"toolCall\",\"id\":\"call_bjX3peJ4fvb3eHdkE6FTyWDD|fc_0e0bc118e417203c0169f3ab7304d08197b8b7e58c771200d7\",\"name\":\"edit\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/PLAN.md\",\"edits\":[{\"oldText\":\"- That admin QR surface is now positioned as a provider test/debug harness; 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I might mention the option to cherry-pick or merge later since the user indicated to save this, but we need explicit confirmation for the main merge.\\\"}]}\"},{\"type\":\"text\",\"text\":\"Hecho en worktree.\\n\\n- worktree: `/mnt/rpi/worktrees/ballbox/docs-vending-manual`\\n- branch: `docs-vending-manual`\\n- commit: `3239857` — `docs: add vending machine setup day manual`\\n\\nCambios:\\n- `docs/vending-machine-setup-day-manual.md`\\n- `docs/index.md`\\n- `PLAN.md`\\n\\nQué guardé:\\n- manual de setup day\\n- cloud test + creds\\n- checklist de recepción, power-on, onboarding en OurVend, media upload, payment readiness\\n- revisión de vigencia de Payments Integration\\n\\nReview de Payments Integration:\\n- Sí, sigue válida.\\n- Se mantiene:\\n - `/admin/payments` = test/debug harness\\n - flujo productivo = TCN protocol\\n - QR buyer-facing = lo muestra la máquina\\n - Ballbox = crea pago, valida webhook, persiste aprobación, reconcilia\\n- Lo no cerrado aún:\\n - payload exacto de init\\n - callback/notify exacto de vend success\\n - qué espera `CodeUrl`\\n - si hay polling además de callback\\n - auth/signature real del tenant productivo\\n\\nLímite:\\n- no lo metí en `main` porque merge/push a `main` requiere confirmación explícita.\\n\\nSi querés, siguiente paso:\\n1. te pego resumen del manual acá, o\\n2. lo llevo a `main` localmente/armo PR, según me digas.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0e0bc118e417203c0169f3ab9982ac8197bc06680cbcd0d672\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":146,\"output\":384,\"cacheRead\":50176,\"cacheWrite\":0,\"totalTokens\":50706,\"cost\":{\"input\":0.00036500000000000004,\"output\":0.00576,\"cacheRead\":0.012544,\"cacheWrite\":0,\"total\":0.018668999999999998}},\"stopReason\":\"stop\",\"timestamp\":1777576852007,\"responseId\":\"resp_0e0bc118e417203c0169f3ab94b5e8819789d467f582facbad\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:55:{\"type\":\"message\",\"id\":\"9ce7ddf3\",\"parentId\":\"4ba65c71\",\"timestamp\":\"2026-04-30T20:30:39.515Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"**Inspecting documentation**\\n\\nI need to inspect the existing manuals, which are likely located in the main or worktree directories. It seems like I need to update a new document and possibly merge or align it with what’s already there. I think focusing on clarity and consistency will be important during this task. Let’s make sure everything is in order before proceeding, so it’s smooth sailing for anyone who accesses the documents later!\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3bbecf5848197a5dc1a04aa556167\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp87vvRNz9hj1GpKVnSpEfyd-YOWV3nrw0205Zt3SoOfHVrvcKBj9zNOkAhjPdGutY_WRXv_3kMokDUw_7hepPeAakOSIq0Fxm4zj0xrwWNAHMsFsrHvAl4tHeYUSZ7V-pHWZeojk8WVX1vVyjdR2aYbPeARIwy0KwB5_vAlyV-qM5a28cy3CKmXP1Hc0crOsExrFmAZJ50IwWXyk9fy2EsN7J8HNtbW52FQw4wPsLAVHiH_chBD0ESsJthkbEeutrTkHLoqlIgF_ISl7DJZL0owEICNGGcJHGWXAWb7Cg81wp6Ezlj7eCY47iTISEUdoGC-W8DtpY9l3-X6yHf1vQCCAG962-Nr0Os0MlbJd61Mdhbwhc0YzuA0r8XxbO0-0-pz01fVslBv41oQAdbyZx_1lCZ-BSH44TycT7Gi99g7imPblH0CiQkUzjkvB5HYcZmpsUWZ9foXqXFMZWKdrm4uStYBfBhdNOjw-3Wo73yUEIz1iRouF8mmC8RKXby6yosL2AbAwXT4YtpN-HncT5xigLD0fea7Tvt9ucdKXcAdcOzGcavZqHBmSVVf51mPl2BRTvhMfKHzOjRRUNqRYpDRVEcAG8mxJCzbfPgNj6Pk7zyOhYhIUvTj4VzqWdAdnTACT0ZdP-r-dua_4o7xy2UFqFFoJEmdiTViEoWtoO3vPgkENmJZ-HMWiortfv32XM0W4AOM5By6rkS4TSzuVsJPznhpBb6SVN9AbovlJhdAMEiub09001kxt-I4qLMwpKN0_KlNcdIvXhOVZPjomzR2inaKnRn4T4IUYPVwXIHRLbL8lVG7iGlrQn1hA7OU6CeOxxAf-HiWHlATw8C716LmLDkeACvIpAhVST-o25tgyBWuYPagk4I8P5RpGUDGN9NJvats6pnxZcOZZ29KcVB4Zy-tY6PhM-sch9U0uXqOYgm9An4fMrYBb5GYtetnFM5dPxaB1iUmjPcaxjORrKIHxSx05-qc7dfTJ0_FeQKQWi2XWWxXlpj2aE0SJUBE8swX8x59TrQNDIDvPB_J0Fo1exWz4LGxfkSx7CtWdhyO2ugv0=\\\",\\\"summary\\\":[{\\\"type\\\":\\\"summary_text\\\",\\\"text\\\":\\\"**Inspecting documentation**\\\\n\\\\nI need to inspect the existing manuals, which are likely located in the main or worktree directories. It seems like I need to update a new document and possibly merge or align it with what’s already there. I think focusing on clarity and consistency will be important during this task. Let’s make sure everything is in order before proceeding, so it’s smooth sailing for anyone who accesses the documents later!\\\"}]}\"},{\"type\":\"toolCall\",\"id\":\"call_Tz33x8cuWSV2xLUTUdjKNY6I|fc_0e0bc118e417203c0169f3bbef09748197bcd621c9b629cf0e\",\"name\":\"todo\",\"arguments\":{\"action\":\"create\",\"subject\":\"Audit existing setup-day docs and align vending manuals\",\"description\":\"Review repo documentation for existing setup-day manuals, especially remote vs on-site roles, then consolidate/index/update docs so all relevant manuals remain visible and non-duplicative.\",\"activeForm\":\"auditing setup docs\",\"status\":\"in_progress\"}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":49422,\"output\":108,\"cacheRead\":0,\"cacheWrite\":0,\"totalTokens\":49530,\"cost\":{\"input\":0.12355500000000001,\"output\":0.0016200000000000001,\"cacheRead\":0,\"cacheWrite\":0,\"total\":0.125175}},\"stopReason\":\"toolUse\",\"timestamp\":1777581034777,\"responseId\":\"resp_0e0bc118e417203c0169f3bbeba8e88197a758c5bbdf093717\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:57:{\"type\":\"message\",\"id\":\"c4eca8ea\",\"parentId\":\"9b66a76c\",\"timestamp\":\"2026-04-30T20:30:46.965Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"toolCall\",\"id\":\"call_u5ve17PWg37rsT6uqV7x87uA|fc_0e0bc118e417203c0169f3bbf5127c8197848ad229d1130442\",\"name\":\"bash\",\"arguments\":{\"command\":\"cd /mnt/rpi/worktrees/ballbox/docs-vending-manual && rg -n \\\"setup day|setup-day|manual|runbook|on-site|onsite|remote|vending|ourvend|TCN|arrival\\\" docs PLAN.md README.md | sed -n '1,260p'\",\"timeout\":20}},{\"type\":\"toolCall\",\"id\":\"call_nYXpnKP31TFuY6xbNgSUqb31|fc_0e0bc118e417203c0169f3bbf5128c819784e938f139c491fd\",\"name\":\"bash\",\"arguments\":{\"command\":\"cd /mnt/rpi/worktrees/ballbox/docs-vending-manual && find docs -maxdepth 1 -type f | sort | sed -n '1,240p'\",\"timeout\":10}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":404,\"output\":157,\"cacheRead\":49152,\"cacheWrite\":0,\"totalTokens\":49713,\"cost\":{\"input\":0.00101,\"output\":0.002355,\"cacheRead\":0.012288,\"cacheWrite\":0,\"total\":0.015653}},\"stopReason\":\"toolUse\",\"timestamp\":1777581039521,\"responseId\":\"resp_0e0bc118e417203c0169f3bbefd4ec8197a70217982c67521a\"}}\n\n\n[Showing lines 9-23 of 23 (50.0KB limit). Full output: /tmp/pi-bash-f0ea3ce0773ed6b8.log]" } ], "details": { "truncation": { "content": "/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:29:{\"type\":\"message\",\"id\":\"91b68d79\",\"parentId\":\"cda63f1e\",\"timestamp\":\"2026-04-30T19:19:32.669Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"**Exploring OCR tools**\\n\\nI’m thinking about using OCR, perhaps Tesseract? I could look into combining that with an image-reading tool. I wonder if using the read image function would be helpful, although it might not attach well. I think it’d make sense to stick with the Tesseract command since it seems more reliable. I’ll evaluate the best approach to get the images read effectively. Let's get started on this!\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab406cac81978ff865d857b1337a\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86tELOJX1jPNm1lp4pKI2XqY9JuWNP-bWSGid7klAQ4qh97RgS8J2PkODCZ20c8IBgNErI6NS6022S_J81SqwIEdhGW799zpE4WeVWeEdb_ziPi8Uc-vT0OmqwGqOZpFz_JKCA-PmmGjTMiNwpANqmw-14Re3vyuvfAdQIEMO1-NXmXGa-H-Jf_bN3ieRZZmRSmCLI75zUCNtCOYR7HcwK25bBrH70wo6osXAHmjVyek5KrtKeBjjGUebvPOjeLE-KURNXW-FAhPOP82g_AvSi4iawwVWeyC3HUODU7yULPTqVlh31hJs01VzRaLrFP-Gz0rk1DuwU2Mt80IVZwMMYkyAv_W8zLsjimaleJQZf0iUUsf-R0zGyrX-v7nvns6POLNg56vPDDUopBvDkuTaFdT16ZS7LJ3RwtzQPGp3qNyt2hqBAnr90_5SCn_ERLolnLspS1zREgwipETIq4pSeyAYm07FgHWPha4X1950CQho9urzM1JflRviDV4UTPsQ0GraVOB1rmr2n0ffz2LjXT99MsAzBPmPtGeDpMPxb3jrjO-31ZI4VL91zw_Rp5fLeVryWlDF8K2rUVj32diIElJx0uc3tJ8u8hNhJMWftWmE3geaDcofTFTDalmHkHSKG94gvn64ITSSyNnB72Nme4cZFqS4GZqo5p6ax3oyTLheYZCkRrA1cXPssREUPUu-13NL6vmHhFLYsCNvGPgnRkA97qiyAg6Be9lhLIbZulW2hUD2l0c_3fS3vPNOoVOuvsu4RKCrZzyfBuTjAHC4GPy28x_tLEpPJA019A5PFwje02wMYfi547tHkx66_NlFY0Y0d_D_gO1T2tvH1YbZ3Ej2faCmYrK4JAgSw0EG-2DdILoFxRkgJQ3P8PoKAMpa2ij54tXfBe-DDLHJWaKkJJcc8vPAi83IdM92DlvA5A0K-nwT6f7_oX-YqqaaHIG8DWaakBBczeky74zN69_hrCAEjl3gHcYOxuN4v7XZqsPMu6ihSa-HpTwQV5z7iaGnO8v_KnjNJcImSpri469o0_ooz1WG_CZRapZIeMKezQi-NAUBRE74zeURSRj6fwT7pQtMU6wePJNMgfuPNpo683flgpvbt99pgWzRPOF0w7N1ehwGuvcEtnLrCDI9f_RHwqvkL5-nIPvk2EA8TJ6f6f5Uw==\\\",\\\"summary\\\":[{\\\"type\\\":\\\"summary_text\\\",\\\"text\\\":\\\"**Exploring OCR tools**\\\\n\\\\nI’m thinking about using OCR, perhaps Tesseract? I could look into combining that with an image-reading tool. I wonder if using the read image function would be helpful, although it might not attach well. I think it’d make sense to stick with the Tesseract command since it seems more reliable. I’ll evaluate the best approach to get the images read effectively. Let's get started on this!\\\"}]}\"},{\"type\":\"toolCall\",\"id\":\"call_irps4L3Kir8vQjEUmWrJhsPc|fc_0e0bc118e417203c0169f3ab44132c8197b927bc9b8b7293a5\",\"name\":\"bash\",\"arguments\":{\"command\":\"for f in /tmp/yt-tcn-manual2/frame-*.jpg; do echo '---' $f; tesseract \\\"$f\\\" stdout 2>/dev/null | sed -n '1,40p'; done\",\"timeout\":120}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":627,\"output\":116,\"cacheRead\":42496,\"cacheWrite\":0,\"totalTokens\":43239,\"cost\":{\"input\":0.0015675,\"output\":0.00174,\"cacheRead\":0.010624,\"cacheWrite\":0,\"total\":0.0139315}},\"stopReason\":\"toolUse\",\"timestamp\":1777576767239,\"responseId\":\"resp_0e0bc118e417203c0169f3ab3f9b6c8197b55c2d707706467c\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:31:{\"type\":\"message\",\"id\":\"c3d55aad\",\"parentId\":\"a06887ce\",\"timestamp\":\"2026-04-30T19:20:07.834Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab46db908197bc0d41127744fdd9\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86tJMqm0SUOuz6DpQPUnEOMiISxys72Nf2tTllUFjcahBlA__iCIy1b2sEH7xxlGrEFATfojm1BI_zrJtRrfW5fHTYcaw0EMX2J_zGjlK_-tsOuZ7aR8mEGbfNnhyaM_zNOGU7F5bmupnDa395p9MLWBIgbI5xwMt8r3qjgFqyVtEzKTrxEc7-vv-3ZG0k7oD8tPhrRILZnbiRYtrCRP09QmRhcV7WGr07KKEm2OZ_tSLyxIGWAm9W1nE-Vm5b4qoMHPsSSCuNhBvXsu9NYw6aErSdzOvpEWXPkBtedLISiNCffAeLmyhCVUd6YobQuDAj02nCaASWLUNmcURbuc-RZ_G83gfkFzhP-nhpGtnB-VpId_I5ZGK6unbqf5LimxAK7ef6dXIsttqeLyJt1cepxJpE16SsingVvFFJbLY9oGTvgOtHx1dvgXxAaQOuC96VdSQYVjrMqrwK8HJ45KsOvbv7y33oHQZfxpDH1pyjD0Pe7yDeseH1IN3QQviouu8Zyt8QalJFX9ki4u7IuYhnVIRs7PFxbuip05llE2Cy6uAkEGZtFWp8mVd3AifDiwKL0b4mzGwRYhP_Qao8Ed6cTHwZuTTgp7IM6hbmneUfrWolYe3MoE6Rlwq4Rf1LDZ_RFGPUrk4PCh9adIERJ_OWIi4-SL5LkWHbKFJTbThTlJjqQGL4FmNzd0jxJ-QlKU5vg_lwnpeIHfcS_Pq31zhbWjUUXfi_1MpPx-hnfLuSQYpI38OW3f410ROrQsu_fdEEXzuKRlK3GqPREzvNfXUyVTRs05D6DAsy6Ihl4QkIa9WHp50uYGXxi4oPWXgQdslOAhTkeQreMH-Qqkb2_Cuu7juAr39s07vhwl-J4LuNhp8qsz7zpzN_t1UGX-LLTaJFhETXNmm313qksORvB26Qjb9pdacXB22YW7JoPhlNeMRyKVhX2olZpiwzKLKHA3qjnvQyH2F5vdJAes00rVblGciXN09gpxEsVlWJhNxBpP2gZCrfVBBIwkB7WmIIRPOmp5BEEAHuwNr1VmuHacEYSBoonO5uxRjfOAGRu0fdWZPiXhrxejIt0Ht4jS8DcIeyZ7JeVgH5N3MDfJryQRRvGA9bXkvf21RuPNTxATwSa6A3jz4N8RwM9OSymCSs8YBXuBIgMBEbUEdh4anc7QcLRaqFSEXwqnwLoWHHfNnNHvMBcGKISrojFB2jVxwCcYy8M04EpsZFW49kJK7RsYBvIha7ngjk1Obn7E3RFHux3HL3hAs0qpxqJLpB5G4T4-10De19_miN-kJRFc7QLfZLKuQ2BehJhw-3jAESMgisEFQ7fA-jYmluGt7YQRcnTpz7wc9j5na_dYzEba5jBlk3EoxUcY_g6dpdvk5OWKkwkF1j41gST3-4ZOfHN3XiHX9eQdz8t6QvL4Fub0E8p0r0QdoCrrjYsS64_Jj-KKuvninJyCVWdaD3CxOXsq-VxgkkcNFpoMPnNy3rKrO0FwwfT-ryKN30y56TTq82mgniowzjGtVEdMOWEEwa95wGUFgS9aQQsb_Va8Ppjf2dNB2v9Ck8bL-cXfMHsYmzomT65ZJ_EnlnURq_H9DUJljl4JMqKHQ5Th0UjIggQJBBl5ku8jY9FtbB9dx1q2jW5R87n9XKmqxaiNL1sZY1yJ3gOImmw4zEy4sVkJAIqWQsOFBvzKP_YHMD3MHs3CPjEqJsMXVHL7VzW8gCONlnz9GNEgwqNPDTc-d4BAP8QFUZKmQQHTHW1tXKfaZs9djDV5GGET2W4vaGkdBRx58u1kBof3qquZo8dUiHRR27XSstPkYfaVltNK7_R8xQ3doTCXNxib7B8=\\\",\\\"summary\\\":[]}\"},{\"type\":\"toolCall\",\"id\":\"call_Toxnbrx1YZ0BpYNZrGzjLwvs|fc_0e0bc118e417203c0169f3ab49e91c8197b4fc22b63b97eda3\",\"name\":\"write\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/docs/vending-machine-setup-day-manual.md\",\"content\":\"# Vending machine setup day manual\\n\\n## Purpose\\n- One Ballbox-owned setup manual for arrival day.\\n- Focus: first power-on, cloud onboarding, media upload, payment readiness, and go-live checks.\\n- Target machine family from current research: TCN CSC-8C(V49) or closest 8C/49-inch equivalent delivered by supplier.\\n\\n## Inputs saved for this manual\\n- Research base: `/Users/sebas/Downloads/deep-research-report.md`\\n- Video reference: `https://www.youtube.com/watch?v=Qwbp3muM7gA` (`How to upload videos to the vending machine`)\\n- Test cloud: `https://dnymer.ourvend.com/#/login`\\n- Test user: `cc`\\n- Test password: `ys123456`\\n- Production note: real cloud + production creds arrive on machine-delivery day.\\n\\n## Non-negotiables\\n- Do not blind-flash firmware from another model family.\\n- Ask TCN/supplier for exact package matched to serial number, mainboard revision, screen family, and payment-module BOM.\\n- Prefer Ethernet first.\\n- Set correct date, time, timezone before any cloud or payment test.\\n- Do not enable live payments until cloud status, product sync, and vend tests are clean.\\n\\n## Day-before checklist\\n- Have Chrome ready.\\n- Have Ethernet available on-site.\\n- Have extension cable / stable power / grounding verified.\\n- Have phone hotspot as fallback only.\\n- Have Ballbox test payment account ready.\\n- Prepare a shared note with:\\n - machine serial\\nn - model label\\n - screen family\\n - payment module model\\n - cloud device id / qr / barcode if shown\\n - venue / club / machine nickname\\n- Ask supplier in advance for:\\n - tenant invite or confirmed cloud login\\n - exact firmware/build package\\n - service PIN/password\\n - open-device / payment API docs\\n - device ids / serial mapping\\n\\n## Arrival and receiving\\n1. Photograph crate before opening.\\n2. Record damage, pallet status, labels, serial stickers.\\n3. Confirm actual machine label.\\n4. Remove all transport foam, tape, tray locks, pickup-box fillers.\\n5. Check:\\n - screen glass\\n - bezel alignment\\n - lock / door\\n - pickup box flap\\n - payment bay\\n - leveling feet\\n6. Level machine before vend tests.\\n7. Record all ids in shared note.\\n\\n## First power-on\\n1. Verify local voltage and grounding.\\n2. Power on with Ethernet connected if possible.\\n3. Set:\\n - date\\n - time\\n - timezone\\n - language / locale\\n4. Confirm internet reachability.\\n5. Test touch on corners, lane buttons, payment buttons.\\n6. If touch drifts:\\n - clean glass\\n - remove temporary protector\\n - retry\\n - use built-in diagnostics if present\\n - escalate to TCN for exact touch/display package if still broken\\n\\n## Cloud onboarding in OurVend\\nPortal:\\n- URL: `https://dnymer.ourvend.com/#/login`\\n- Browser: Chrome preferred\\n- Current test creds:\\n - user: `cc`\\n - pass: `ys123456`\\n\\nSuggested order:\\n1. Login.\\n2. Confirm tenant, timezone, currency, and role permissions.\\n3. Create or confirm device-group hierarchy:\\n - Country > Region > Club > Machine\\n4. Create/bind machine record with:\\n - serial number\\n - model family\\n - location\\n - timezone\\n - language\\n - temperature profile\\n - currency\\n5. Confirm machine appears online.\\n6. Confirm heartbeat / last-seen timestamps move.\\n7. Load initial catalog.\\n8. Push one safe remote change:\\n - product name or price\\n9. Confirm device receives sync.\\n\\n## Media upload to the vending machine\\nSource: public video `How to upload videos to the vending machine`.\\n\\nUse this as the operator checklist once inside tenant UI:\\n1. Find device-management / media / advertising section.\\n2. Upload one short test video first.\\n3. Assign video to the correct machine or machine group.\\n4. Publish/sync.\\n5. Confirm playback on the machine screen.\\n6. Then upload final production media pack.\\n\\nDay-of validation points:\\n- supported format accepted by portal\\n- upload completes without silent failure\\n- media can be assigned to the specific machine\\n- machine pulls new media after sync/reboot\\n- playback is full-screen and touch flow still works\\n\\nOpen items to confirm in tenant UI:\\n- exact menu path for media upload\\n- supported file types / size limits\\n- whether media binds per machine, per group, or per playlist\\n- whether manual sync/reboot is needed after publish\\n\\n## Payment integration status\\n### Current Ballbox position\\n- `/admin/payments` stays a Ballbox operator test/debug harness.\\n- Production vending flow should go through TCN machine protocol.\\n- The machine should show the buyer-facing QR on its own screen.\\n- Ballbox should own payment creation, webhook validation, approval persistence, and reconciliation.\\n\\n### Why this still looks valid\\n- Current research still supports OurVend/TCN as cloud + device-control layer, not the owner of Ballbox business logic.\\n- Public evidence still points to secret/signature-based device-open access on the vendor side.\\n- The deep research report still supports backend-owned dynamic QR plus vendor-side vend authorization as the safest default architecture before exact tenant docs arrive.\\n- Nothing in the supplied test cloud login changes that direction by itself.\\n\\n### What still needs real-world confirmation on setup day\\n- exact payment-init payload from machine/cloud\\n- exact vend-success callback / notify path\\n- exact `CodeUrl` expectation: qr payload vs link vs provider-specific deep link\\n- whether payment completion relies on callback, polling, or both\\n- exact auth/signature shape for production tenant endpoints\\n\\n### Setup-day payment test sequence\\n1. Confirm machine online in cloud.\\n2. Confirm one vendable product exists and is mapped correctly.\\n3. Confirm Ballbox test payment flow can still create QR orders.\\n4. Confirm machine/cloud can request payment init against Ballbox adapter or stub.\\n5. Scan QR from phone.\\n6. Confirm Ballbox receives provider webhook.\\n7. Confirm approved payment persists with canonical machine correlation.\\n8. Confirm TCN side receives success/notify signal.\\n9. Confirm physical vend succeeds.\\n10. Reconcile payment, vend result, and inventory change.\\n\\n## Go-live acceptance\\n- machine online and stable\\n- correct timezone\\n- touch OK across screen\\n- at least one product sync OK\\n- price sync OK\\n- media sync OK\\n- payment test OK\\n- vend test OK\\n- retry/error path observed at least once\\n- all ids and creds archived in internal ops note\\n\\n## Escalation packet for supplier / TCN\\nIf something blocks setup, send all of this together:\\n- machine serial\\n- model label\\n- screen family\\n- payment module model\\n- current firmware/build version\\n- cloud tenant name/url\\n- screenshots/video of issue\\n- timestamps with timezone\\n- whether Ethernet or Wi-Fi\\n- last successful action\\n\\n## Related repo docs\\n- `docs/tcn-payments-integration-plan.md`\\n- `docs/tcn-payments-open-questions.md`\\n- `docs/tcn-payments-execution-plan.md`\\n- `docs/payments-machine-rollout-rfc.md`\\n\"}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":362,\"output\":1817,\"cacheRead\":43008,\"cacheWrite\":0,\"totalTokens\":45187,\"cost\":{\"input\":0.0009050000000000001,\"output\":0.027255,\"cacheRead\":0.010752,\"cacheWrite\":0,\"total\":0.038912}},\"stopReason\":\"toolUse\",\"timestamp\":1777576772697,\"responseId\":\"resp_0e0bc118e417203c0169f3ab451e408197ae889c1416d4f7c7\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:33:{\"type\":\"message\",\"id\":\"81201e58\",\"parentId\":\"ff50b24c\",\"timestamp\":\"2026-04-30T19:20:12.527Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"**Fixing typos and updating index**\\n\\nI noticed a typo in the line that needs correction. I should update the index accordingly to make sure everything is accurate. This is part of my plan to keep things relevant and organized. Let’s edit that typo and ensure the information is clear and up-to-date! It’s all about making those little adjustments for the best final result. Okay, time for a little text fix!\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab68e52c8197b0b01233681fa06f\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86trlF-UdSgdeZ2Hh0xO-U3oRARKhLWlifG6CGrXqjSESwu6X1uQxS8-ZO8-lqd4yIKUzb3v1PWChHcchj6Gg27NHZTIhzuI4qEt5GinHj84lL20TuKhjL8gIKHNXTJh1B1k7eEu3qbRy8ruBB2iyrUqoXLTU8QkOwSJQVMJufJUZv3zGyeOVgMezIm9bmnQzv9VLANkYUtFfhN6OOCckYdJ1AV4CNdQoxbF5kjNDYDITQm1GU7VSgtp_-GryJSw3a4D2pt3BeqIiQuaysLAE311hMAi8n0meiH1wbGwQ7wybGBcVRLzFrhTlWTxQcb8nQhBxdf0xoTL-9oxr1qvKCSIBxeVTu7zjwgAF6DJ3c0eLCeL2q35yAlanndDUVHFlqk4J2i-pThYFb_aIgbLrJfUjKvUr0ptbtGAetPl3xTOoEW_F5_aCm6L8SdbxndeNYoK83AnbvIcHPL_s4OPy5Cj7uoaZ-J9n86s97jAneDsdYybkjQODk1xWSVngySKFhmSEnYNoMXl1N-WfWgpY6ZJFlsabII_iicbZgSm8J_Sd5Z-tLCt-K1iCw_1o8189YM81lX-qpZ5yrx7pEGFlDDzQE9z89CpzIhQzZwAFRiaDKT7r8wbqu0c395BuYr_wp70EECPJZRnVK6rRItNKExLJt9UVhZ4V0463IswdOe4TLL-R8VLvoxCcM9SgnV8EbjUFqEM2IwA9cokJpE1TplMQXAOIj5S_6FvysnNxZaUrJse4XAhAgdrD5WHaKMcSS9k1pwourBbgIk6XiT86OmL2s21dMn8ikKTqmNzCXd9RU2JGgGKyrsLKjyzOvIpMbu5qgJFAFYkvRrfaIa7IQqJWvMhkcuZBW5NazM6u_hoOnWrx-M5bbaXderbVNV_GOtR3UM94RVv8a_vCLw6YvlTUlQtY71cZ2Jhd5LfgDGbZ9PQ6SWf_4rFzVGf3tdm8rU0U-MLWWb-8K7f-jYzsCYz0sCVa9aR-PLjJdS2rTwXmEQugrkdgla1LPCSjsAZWnSqpvZ1AuHahDoDe7mMjLD3tg==\\\",\\\"summary\\\":[{\\\"type\\\":\\\"summary_text\\\",\\\"text\\\":\\\"**Fixing typos and updating index**\\\\n\\\\nI noticed a typo in the line that needs correction. I should update the index accordingly to make sure everything is accurate. This is part of my plan to keep things relevant and organized. Let’s edit that typo and ensure the information is clear and up-to-date! It’s all about making those little adjustments for the best final result. Okay, time for a little text fix!\\\"}]}\"},{\"type\":\"toolCall\",\"id\":\"call_Hk4QMVltbWi0osSc1UZhS4TZ|fc_0e0bc118e417203c0169f3ab6b831081978d34700d4416d665\",\"name\":\"edit\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/docs/vending-machine-setup-day-manual.md\",\"edits\":[{\"oldText\":\"- Prepare a shared note with:\\n - machine serial\\nn - model label\\n\",\"newText\":\"- Prepare a shared note with:\\n - machine serial\\n - model label\\n\"},{\"oldText\":\"## Media upload to the vending machine\\nSource: public video `How to upload videos to the vending machine`.\\n\",\"newText\":\"## Media upload to the vending machine\\nSource: public video `How to upload videos to the vending machine`.\\n- Treat this section as an operator checklist, not as a verified exact click-path yet.\\n\"}]}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":2220,\"output\":190,\"cacheRead\":43008,\"cacheWrite\":0,\"totalTokens\":45418,\"cost\":{\"input\":0.00555,\"output\":0.00285,\"cacheRead\":0.010752,\"cacheWrite\":0,\"total\":0.019152000000000002}},\"stopReason\":\"toolUse\",\"timestamp\":1777576807868,\"responseId\":\"resp_0e0bc118e417203c0169f3ab6833688197b44a455035c71a32\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:35:{\"type\":\"message\",\"id\":\"bc12cdd5\",\"parentId\":\"460d6812\",\"timestamp\":\"2026-04-30T19:20:17.750Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0e0bc118e417203c0169f3ab6e79a481979abf8a5bac0c7148\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp86tv8fb9-iSx_JvSXroqOofk81Cab7kUi4fGAB7AsTvMnkmnvhusl2zXzq8Jmz2eAjHL1DkaYd942uP8_cOe8WNOcAurG2cjrrHTtQs-CGrnFwl_rP5yZM3Sa1YEsuCsF0KDMa6V5PRf0ydAE6t12bWqvYea2Q1n4nFZKlCUDno4Jqigs-yfbE6NBRMc1aybdHQMbpXB9usikcryDo9O9PkRu2k4sjHVYz-f2F88KM4ywP2_viRN5r7Q1xalAJPxJCQVXThzJGixZDf0P-DRHo5hBt9f2oOp6j6yNfSfxlhHREb4mo3HpEWf_oGxSHemSky1653mS13XMNI8pfl6noeAY42BSpzgp_P1NWtQUcqGKtwFeIGGm7XKc2exANuEkrfjlnjEaBbjhihqlbWmOf6ilqJFa0p4tk74Zpbpa58tiyqT6EcIlmHRsYKrWPUjbDtZfls_IF2OTsoXV_hOKggJMr-55IPXad-FQ3qWQAzN1ELGLvPrBSxE1L0JtxcrOL7-kUd9UeJTH54Z81v7XtyniY6566lB4XJrDd3fHps322V_9LUwk1-t4sJZTMcsl3QvD-5Sft9w-lmZRm5BTJvsuibvI64ZmsOwyJnJT4lDOonLC1Gx6qJ776ip8NwnJ_xgbM3GhsXjMPhvUXSIuX31VPUlXWQbf4Pb7Blx2-rY9_x1XABncwcqFWZpT5DxM1OTiFNfENvm7rRkoA33RWnUiJB7fnoAAApxXqOTvbUdOU_vUHVM-FpFb-YHmk01Gop1YOm63_P4QZ_r2yOh8uk_UPeZRSGnHKhmLArGN57Ea9HZ9cYduJ544-KZ_aRn79Aiq609IGLNrns8QqodTeDNxpcX8TNS53bO1qUV0opz4n5pThlt2lZ3fbmkEsUs_n4bBU23losn0oDr65V2VaTWEqfQPV57bmXjq9QLBkzonLPLAtgEWj2Z66loJNny92gR\\\",\\\"summary\\\":[]}\"},{\"type\":\"toolCall\",\"id\":\"call_lNaA8GHRDrAe4AqUghkNQGd4|fc_0e0bc118e417203c0169f3ab6f03408197a4bd4086ee967f1e\",\"name\":\"edit\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/docs/index.md\",\"edits\":[{\"oldText\":\"- `docs/demo-iteration-mode.md`: rapid demo delivery model with anti-debt guardrails\\n\",\"newText\":\"- `docs/demo-iteration-mode.md`: rapid demo delivery model with anti-debt guardrails\\n- `docs/vending-machine-setup-day-manual.md`: operator setup-day manual for first TCN vending-machine arrival, cloud onboarding, media upload, and payment readiness\\n\"},{\"oldText\":\"## Current Build Docs\\n\",\"newText\":\"## Setup And Operations\\n- `docs/vending-machine-setup-day-manual.md`\\n\\n## Current Build Docs\\n\"}]}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":405,\"output\":170,\"cacheRead\":45056,\"cacheWrite\":0,\"totalTokens\":45631,\"cost\":{\"input\":0.0010125000000000002,\"output\":0.00255,\"cacheRead\":0.011264,\"cacheWrite\":0,\"total\":0.0148265}},\"stopReason\":\"toolUse\",\"timestamp\":1777576812547,\"responseId\":\"resp_0e0bc118e417203c0169f3ab6ce82481979946d788bacca4dd\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:37:{\"type\":\"message\",\"id\":\"7b6cfb52\",\"parentId\":\"929761eb\",\"timestamp\":\"2026-04-30T19:20:22.232Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"toolCall\",\"id\":\"call_bjX3peJ4fvb3eHdkE6FTyWDD|fc_0e0bc118e417203c0169f3ab7304d08197b8b7e58c771200d7\",\"name\":\"edit\",\"arguments\":{\"path\":\"/mnt/rpi/worktrees/ballbox/docs-vending-manual/PLAN.md\",\"edits\":[{\"oldText\":\"- That admin QR surface is now positioned as a provider test/debug harness; 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Let’s make sure everything is in order before proceeding, so it’s smooth sailing for anyone who accesses the documents later!\\\"}]}\"},{\"type\":\"toolCall\",\"id\":\"call_Tz33x8cuWSV2xLUTUdjKNY6I|fc_0e0bc118e417203c0169f3bbef09748197bcd621c9b629cf0e\",\"name\":\"todo\",\"arguments\":{\"action\":\"create\",\"subject\":\"Audit existing setup-day docs and align vending manuals\",\"description\":\"Review repo documentation for existing setup-day manuals, especially remote vs on-site roles, then consolidate/index/update docs so all relevant manuals remain visible and non-duplicative.\",\"activeForm\":\"auditing setup docs\",\"status\":\"in_progress\"}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":49422,\"output\":108,\"cacheRead\":0,\"cacheWrite\":0,\"totalTokens\":49530,\"cost\":{\"input\":0.12355500000000001,\"output\":0.0016200000000000001,\"cacheRead\":0,\"cacheWrite\":0,\"total\":0.125175}},\"stopReason\":\"toolUse\",\"timestamp\":1777581034777,\"responseId\":\"resp_0e0bc118e417203c0169f3bbeba8e88197a758c5bbdf093717\"}}\n/home/sebas/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-30T19-17-03-147Z_019ddfd2-bc2a-76e9-a0f2-9cdd36ca3335.jsonl:57:{\"type\":\"message\",\"id\":\"c4eca8ea\",\"parentId\":\"9b66a76c\",\"timestamp\":\"2026-04-30T20:30:46.965Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"toolCall\",\"id\":\"call_u5ve17PWg37rsT6uqV7x87uA|fc_0e0bc118e417203c0169f3bbf5127c8197848ad229d1130442\",\"name\":\"bash\",\"arguments\":{\"command\":\"cd /mnt/rpi/worktrees/ballbox/docs-vending-manual && rg -n \\\"setup day|setup-day|manual|runbook|on-site|onsite|remote|vending|ourvend|TCN|arrival\\\" docs PLAN.md README.md | sed -n '1,260p'\",\"timeout\":20}},{\"type\":\"toolCall\",\"id\":\"call_nYXpnKP31TFuY6xbNgSUqb31|fc_0e0bc118e417203c0169f3bbf5128c819784e938f139c491fd\",\"name\":\"bash\",\"arguments\":{\"command\":\"cd /mnt/rpi/worktrees/ballbox/docs-vending-manual && find docs -maxdepth 1 -type f | sort | sed -n '1,240p'\",\"timeout\":10}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4\",\"usage\":{\"input\":404,\"output\":157,\"cacheRead\":49152,\"cacheWrite\":0,\"totalTokens\":49713,\"cost\":{\"input\":0.00101,\"output\":0.002355,\"cacheRead\":0.012288,\"cacheWrite\":0,\"total\":0.015653}},\"stopReason\":\"toolUse\",\"timestamp\":1777581039521,\"responseId\":\"resp_0e0bc118e417203c0169f3bbefd4ec8197a70217982c67521a\"}}\n", "truncated": true, "truncatedBy": "bytes", "totalLines": 23, "totalBytes": 77739, "outputLines": 15, "outputBytes": 48511, "lastLinePartial": false, "firstLineExceedsLimit": false, "maxLines": 2000, "maxBytes": 51200 }, "fullOutputPath": "/tmp/pi-bash-f0ea3ce0773ed6b8.log" }, "isError": false, "timestamp": 1778044480255 } }, { "type": "message", "id": "6d51061d", "parentId": "c8b5ae9f", "timestamp": "2026-05-06T05:14:40.262Z", "message": { "role": "toolResult", "toolCallId": "call_4kKqabWj0WberBbrtqpm2uVY|fc_0ff3a93ad93b26e40169face3a45888197b6de945133a2e50c", "toolName": "bash", "content": [ { "type": "text", "text": "===== baseline failing call =====\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nOK\n[exit=0]\n" } ], "isError": false, "timestamp": 1778044480259 } }, { "type": "message", "id": "41707dae", "parentId": "6d51061d", "timestamp": "2026-05-06T05:14:48.220Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Understanding the baseline output**\n\nI'm considering why the baseline now seems to work, possibly due to output truncation? I think maybe the user asked about testing the default OpenAI Codex. It's likely that the current settings are sufficient or that it could be some environmental factor. I need to provide a concise answer based on these observations, ensuring I'm addressing the user's request clearly. There's a lot to think about here!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169face42783481978acde70928bf813c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s5EspCRSFLcAhTkQAWXpWYOYVlFaQcHFGGMV94Few0IWYH_F_iwTbqE7Eod9vcvPAwl9HpduKB-jC7IPkpxzjkGMcRuMUTyZeCcIHHP73RfLF4evWtmc_tCmHmBsdVMogTtavsShmy_eofDjse12FO3Z4Bbt8TBaFhoeT4yXhjDjFtZRrH7P7uO4uDMCxIQk7jFoX_cDncJ4fXcgWQkagyNdu-zjeyeUapa4MOZEz_U32kAMP0kNSE2-vjJTowegzikFhWs-oYqhz77bNUsyYcukfRedZL7msyPcyIPMD5_8JcxUhy7BF9U4JGEoApLqHE3RP458vmIGzxD4TTVwCqvl1XBRyQUM2REjqQtUjBX8nmp8IkLIl8fl4lTIJ3BV5sfCgXVR8KB1b6AkDbAfcLs6Dc1kALY2JzrhfA4sC7a7Lmtzf8C37bg-EzQTHC7dZgU32G0TtXDBkMEZVQgFfWfOjkHLBA4kRhwvr1seRjeuzKRBAORjkTRSVtOYtIlc6XM9z1lOUSONEZpf0U5_MleShY7dCT7jczD-H4YuDpXsXC5YishDabs7RvcLFiv9EJKbKeFfnKneze4kJae6jfrsJLCGmbjvpc3Gg0RCAQVzINn1bRX59ypLyuWwdGsdBdj1BMdvcaWQuNFHwuGDjD8PWiYSmt2ONYRk1PCAWFSGYI7Huak8rN6NGmfJXe12S1Re0EjPIzGgw_vqtQkg_B4mF749oLtcPTK9wRXaByPtFcl0CiITXZYAgoGD2UwA2c48P4BAgx48R_cj-K3KV9LTeYONFMldxYEvmCg6WPerKF_e4WjSsjP78o-N_m8-PJYaOIyupIqQUnopUOVD7cJzTfIg9rSscKMCKXF6H8psiBHcNJzarWHzXOq6T2YJRXJVyBbWXL4YyFVlapF3Dt5HkDw7afrPvGOp1WTwtepejxgvk1kKD7vvzc7sKao5e62uswSlAJS79GsKO6awuUyn6Zi_bB6K-3JSz9uwPVfAcRXhI0xoJMsdSvkhbtH6_XQDlDT7iGpNmUGoZpizEz8U0N5DVq2y09setbJzg9WikFHL44FLnLLj3YXlunlT-Lc9ZG3kqwnw-iqWZ1xiyvA7G55sclGL1CT2WRBlwVXtTsBjMTzXudanTGsqcc0XUdHrvBpLO-6JvQYWxQLS1KstoIoajvxb0pVG5FfJ-nWjgvYjNh6WnapsfZBc4a6K_5v\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Understanding the baseline output**\\n\\nI'm considering why the baseline now seems to work, possibly due to output truncation? I think maybe the user asked about testing the default OpenAI Codex. It's likely that the current settings are sufficient or that it could be some environmental factor. I need to provide a concise answer based on these observations, ensuring I'm addressing the user's request clearly. There's a lot to think about here!\"}]}" }, { "type": "text", "text": "Sí. Probé default otra vez.\n\nResultado:\n```bash\npi --no-extensions --no-session -p 'Reply with exactly OK'\n```\n\nRespondió:\n```text\nOK\n```\n\nO sea:\n- ahora el default está resolviendo bien\n- `openai-codex` como default quedó funcionando en práctica\n\nDato raro:\n- antes el mismo comando caía en `azure-openai-responses`\n- ahora no\n- así que había estado inestable o el match/provider cambió según contexto interno/cache/config\n\nEstado actual:\n- default simple: funciona\n- explícito con provider: también funciona\n- modelos OpenRouter pagos/no-free: también funcionan\n- modelos `:free`: pueden rate-limit\n\nRecomendación igual:\n- para scripts críticos, seguir forzando provider/model explícito\n- no confiar 100% en resolución implícita\n\nForma segura:\n```bash\npi --provider openai-codex --model gpt-5.4-mini ...\n```\n\no:\n```bash\npi --model openai-codex/gpt-5.4-mini ...\n```\n\nSi querés, hago el parche ahora en:\n- `bin/pi-loop`\n- `bin/pi-job-runner`\n\npara dejar todo hardenizado.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169face448870819799b914ff8bf96ea2\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 20458, "output": 308, "cacheRead": 34816, "cacheWrite": 0, "totalTokens": 55582, "cost": { "input": 0.051145, "output": 0.00462, "cacheRead": 0.008704, "cacheWrite": 0, "total": 0.064469 } }, "stopReason": "stop", "timestamp": 1778044480262, "responseId": "resp_0ff3a93ad93b26e40169face40b620819785a2b6be895e8aab" } }, { "type": "message", "id": "ac448f1f", "parentId": "41707dae", "timestamp": "2026-05-06T05:15:28.148Z", "message": { "role": "user", "content": [ { "type": "text", "text": "Y podríais llamar al loop tres veces?" } ], "timestamp": 1778044528137 } }, { "type": "message", "id": "10b4ab7c", "parentId": "ac448f1f", "timestamp": "2026-05-06T05:15:33.135Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169face71d4a481979d9773c60f433057\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s5zJmFhId0rJK7jruP8elZnd3FtvvAsK3koTxPCInt-QcJPtvGdTBlFh6wTiiLyxhdqxxtxmxtanJtKmX4rEAq5oYyxnaj6aOi1ibqbB1adKFuztJ8XffZdVUQGLO7f6zblKhjakxjvL2F5n-ixKuso87323rCChb0sxHiZBp4pDxDszLwEpaxleuPOqKJOKLl2FaeN3sUZMyAmvYh8-9QUMhTnYN94MlEcjNEkxi8a4TLECde3Hpk7YvEIc_4q2eBZawXXQDNRB-PhfQs7Vu_VNKi_XJUaqzolrOfh07pIfJF1_JmjdxDlQffl3z0Xa-P3b6q2YFAvlPxO4NXD4d5Q4K5TZv-hC9Ou3gVKsBvdQflBVPO3PTA_lBGpyGEJr9iVreblMF0N8ilYQNsUCDMuVdhM3hF88eatx-hh36E9zEcabaCn_dTm4AP_0JHp5GwgLxublErgEZuny3M8Y5sRAn9YlDoDEE5K6QaTQW4K831QY5PU2XIavI_cdwx-wl2ygAhpzgiRpIzd-5UMy0KGGDOpsvsxOI7aLswJ29BCGf6TTeFsi4qxh50c565mMWgaWXFKYsWYzji3B__HI_z_ijJKk8JGPWHpe4Ph6VV0pSyaaz-Eda4yMa2x0wQTNavjjNQrcsiOLhRxfjE21gp_V2JqXUMFk970rLtDpG_EKuqserSloTk-RsZ3uhxERYbHZ8rB_4FBnpa-CEQg3SOLxF_ydDMEW0HMXacOnVVzSXMeARb9l5twr-tguTV_IyNmXaG-Q3Lr9n6ASax_wsADV85vMUtg9oU_71JR3yOEnxmaaa0aPQ9kV9adOgu6eWZt8bMQT4Xi9iolsKtM6UYMrnocorO9Pcl_H674ZO2z6hodPOWIjLiea6z73rRyJrguWU79W6PEQfinrr9ggbtU9J7qN4Bav5vmww-Yg0wXb-W4yFqN41U1xteV5VGgNiYhi9rW0BMbvOA1vj8DufPNL-yAjHOkS4s2QkJjCeWbDvHNQlowYn4pbChSIRohsecI\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_ghwMEmp1gdTZUqfBZ9Ukc5zu|fc_0ff3a93ad93b26e40169face7391a08197965f9939f512eeb3", "name": "bash", "arguments": { "command": "set -euo pipefail\nrm -rf /tmp/pi-loop-test\nmkdir -p /tmp/pi-loop-test\ncat > /tmp/pi-loop-test/prompt.txt <<'EOF'\nCreate or update a file named loop-test.txt in the current working directory. Append one short line that states which iteration you believe this is, based on the prompt context. Keep changes minimal.\nEOF\n/home/sebas/pi-config/bin/pi-loop --count 3 --cwd /tmp/pi-loop-test --prompt-file /tmp/pi-loop-test/prompt.txt --thinking low --tail-lines 80 --keep-going", "timeout": 1800 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 20683, "output": 168, "cacheRead": 34816, "cacheWrite": 0, "totalTokens": 55667, "cost": { "input": 0.0517075, "output": 0.00252, "cacheRead": 0.008704, "cacheWrite": 0, "total": 0.0629315 } }, "stopReason": "toolUse", "timestamp": 1778044528139, "responseId": "resp_0ff3a93ad93b26e40169face707e5881979ad1ee8e7a55f7a2" } }, { "type": "message", "id": "243219a8", "parentId": "10b4ab7c", "timestamp": "2026-05-06T05:15:56.896Z", "message": { "role": "toolResult", "toolCallId": "call_ghwMEmp1gdTZUqfBZ9Ukc5zu|fc_0ff3a93ad93b26e40169face7391a08197965f9939f512eeb3", "toolName": "bash", "content": [ { "type": "text", "text": "Warning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nDone. Added `loop-test.txt` with:\n`Iteration 1 of 3.`\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nUpdated `loop-test.txt` with iteration 2 line.\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nUpdated `loop-test.txt` with iteration 3 line.\nrun_dir=/mnt/rpi/pi-loop-runs/20260506T051533Z\niterations=3\nfailures=0\n" } ], "isError": false, "timestamp": 1778044556896 } }, { "type": "message", "id": "2cfa2dac", "parentId": "243219a8", "timestamp": "2026-05-06T05:16:01.961Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_3Hs1cFgi9MZO8BXfojJoqjbT|fc_0ff3a93ad93b26e40169face91c57c81979334817682745820", "name": "bash", "arguments": { "command": "printf '===== loop-test.txt =====\\n'; cat /tmp/pi-loop-test/loop-test.txt; printf '\\n===== tree =====\\n'; find /mnt/rpi/pi-loop-runs/20260506T051533Z -maxdepth 2 -type f | sort", "timeout": 60 } }, { "type": "toolCall", "id": "call_8laUYbS3mCjFs0MWKOBwzm5Q|fc_0ff3a93ad93b26e40169face91c58c8197b189cd2220cf49df", "name": "bash", "arguments": { "command": "printf '===== iter outputs =====\\n'; for f in /mnt/rpi/pi-loop-runs/20260506T051533Z/iter-*/output.log; do echo \"--- $f\"; sed -n '1,80p' \"$f\"; done", "timeout": 60 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 639, "output": 168, "cacheRead": 55296, "cacheWrite": 0, "totalTokens": 56103, "cost": { "input": 0.0015975000000000002, "output": 0.00252, "cacheRead": 0.013824, "cacheWrite": 0, "total": 0.0179415 } }, "stopReason": "toolUse", "timestamp": 1778044556897, "responseId": "resp_0ff3a93ad93b26e40169face8da71c8197a6dbaebf0eebeeed" } }, { "type": "message", "id": "53109daa", "parentId": "2cfa2dac", "timestamp": "2026-05-06T05:16:01.983Z", "message": { "role": "toolResult", "toolCallId": "call_3Hs1cFgi9MZO8BXfojJoqjbT|fc_0ff3a93ad93b26e40169face91c57c81979334817682745820", "toolName": "bash", "content": [ { "type": "text", "text": "===== loop-test.txt =====\nIteration 1 of 3.\nIteration 2 of 3.\nIteration 3 of 3.\n\n===== tree =====\n/mnt/rpi/pi-loop-runs/20260506T051533Z/base-prompt.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-001/exit_code.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-001/finished_at.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-001/output.log\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-001/prompt.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-001/started_at.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-001/status.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-002/exit_code.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-002/finished_at.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-002/output.log\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-002/prompt.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-002/started_at.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-002/status.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-003/exit_code.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-003/finished_at.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-003/output.log\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-003/prompt.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-003/started_at.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/iter-003/status.txt\n/mnt/rpi/pi-loop-runs/20260506T051533Z/run-meta.txt\n" } ], "isError": false, "timestamp": 1778044561983 } }, { "type": "message", "id": "d4a30484", "parentId": "53109daa", "timestamp": "2026-05-06T05:16:01.985Z", "message": { "role": "toolResult", "toolCallId": "call_8laUYbS3mCjFs0MWKOBwzm5Q|fc_0ff3a93ad93b26e40169face91c58c8197b189cd2220cf49df", "toolName": "bash", "content": [ { "type": "text", "text": "===== iter outputs =====\n--- /mnt/rpi/pi-loop-runs/20260506T051533Z/iter-001/output.log\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nDone. Added `loop-test.txt` with:\n`Iteration 1 of 3.`\n--- /mnt/rpi/pi-loop-runs/20260506T051533Z/iter-002/output.log\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nUpdated `loop-test.txt` with iteration 2 line.\n--- /mnt/rpi/pi-loop-runs/20260506T051533Z/iter-003/output.log\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nUpdated `loop-test.txt` with iteration 3 line.\n" } ], "isError": false, "timestamp": 1778044561983 } }, { "type": "message", "id": "3df6f608", "parentId": "d4a30484", "timestamp": "2026-05-06T05:16:06.194Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Sí. Hecho.\n\nResultado:\n- 3 iteraciones\n- 0 fallos\n- run dir: `/mnt/rpi/pi-loop-runs/20260506T051533Z`\n\nArchivo final:\n```text\nIteration 1 of 3.\nIteration 2 of 3.\nIteration 3 of 3.\n```\n\nRuta:\n- `/tmp/pi-loop-test/loop-test.txt`\n\nConclusión:\n- `pi-loop` funciona bien\n- hereda contexto entre iteraciones\n- el problema anterior era de resolución/auth del modelo, no del loop\n\nSi querés, siguiente: endurezo `pi-loop` y `pi-job-runner` para forzar `openai-codex` explícito.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169face9341dc819782ffba5fc31fb52f\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1128, "output": 152, "cacheRead": 55808, "cacheWrite": 0, "totalTokens": 57088, "cost": { "input": 0.00282, "output": 0.00228, "cacheRead": 0.013951999999999999, "cacheWrite": 0, "total": 0.019052 } }, "stopReason": "stop", "timestamp": 1778044561985, "responseId": "resp_0ff3a93ad93b26e40169face9256fc819797e8664e17e5abae" } }, { "type": "message", "id": "1a82bfe6", "parentId": "3df6f608", "timestamp": "2026-05-06T05:16:24.361Z", "message": { "role": "user", "content": [ { "type": "text", "text": "Dale por favor y actualiza la documentación existente." } ], "timestamp": 1778044584352 } }, { "type": "message", "id": "cae13ab0", "parentId": "1a82bfe6", "timestamp": "2026-05-06T05:16:28.582Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169faceaa33d08197b4305139c7f1591b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s6scWoky4hdNPbWNhGJ-C_fCbxQwpJ1JCqSFyd5XETne3tFRabeV2S4EV9Jlo9ys4vpNBtOrovQWv_n8QdIPByF5UIHG1HJPI_TbGDgoDTxmopFA8Xlgo5xDX53dqQwPbfabVvcx_vIDhzjcygCxPjlUDziwqM0duIGRIb1Nl0gKAyS1Y4gGykVMkSPWZVrjOa1fMYt1hSOJ65BWRybt471BFDvTMQJHS2Muqk4Gbb77W3nbSHQDGaVBcrPrPAEb9PQDO4wb2opEloD3_d8ucCl9O9offtHvI3kVTOaxEIHpEUOqdgJf4HRn9hSE7DJugqKQmDn06qWsT3byVIa4ebn7O26rcYSGbbqtTTbb0mFlzsE7oqinDwuK76UnirDkh_mXbW90AKol92R88FUdfDSaB9CcOh8Cmlo-fvmH6Rj7Jx94NvId4O5PLt43Rqn3lUzhJCPjCtX0FdLSjF9xsWob9e6XLvdl22Omy8pC1w-1vd0G-7LTVW1wbSMB1fAua-qpvj3oEP_sjxr5Njbm_tM3DhMGWr0mPot946OgUjHic_UCvY2ummO-gPB93aPytSWVjlKuaK8nTerxWCV_eZ-OrvPjY4AdgA0DFaoTZAQSqk1Gmxb2tyK313SVaTSTVHGVDiAdKCinxN1RqMPEK_UtVBRcYVXO69tvEZspI_7TUy3EqYdhoaq6eXGSkok17m_ELs806dWQ4VoS6MvjIavgrH1mJPKCLqT1yNdIRIxN98Y3flx38bMOKKkI435dcQJg5GW8vn7SBFUqRuPHV2FOd3H51QglRbbcXg4Q9gbr8knwggGSw3q0NLEPXf8jeK2L7w_2gjXRQH3MGvVlwrovhZiay3YdTNNePs89mG7GjFo33ZsV7Z2r8oIpvJEKnNm8LHzB1uyHlLs4FV037xvepEnDKfnNp_4XPblfH_9O9qUduwml3eIiOHIk2PxZHCve1luj099nhUH4T70kgxnf1yr2oZKh4T7ACIDtX7bwHY=\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_cuBApaSvsCLo4X4nWqLSYrxj|fc_0ff3a93ad93b26e40169faceac2a008197b05df58eb9b2feb0", "name": "todo", "arguments": { "action": "create", "subject": "Harden pi scripts to force openai-codex and update docs", "description": "Patch pi-loop and pi-job-runner to avoid ambiguous provider resolution. Update existing docs to document explicit provider/model usage for reliable unattended jobs.", "activeForm": "patching pi scripts and docs", "owner": "sebas-agent", "status": "in_progress" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1785, "output": 102, "cacheRead": 55296, "cacheWrite": 0, "totalTokens": 57183, "cost": { "input": 0.0044625, "output": 0.0015300000000000001, "cacheRead": 0.013824, "cacheWrite": 0, "total": 0.0198165 } }, "stopReason": "toolUse", "timestamp": 1778044584354, "responseId": "resp_0ff3a93ad93b26e40169facea8a33c819790f3e1f3b960c529" } }, { "type": "message", "id": "fbb94870", "parentId": "cae13ab0", "timestamp": "2026-05-06T05:16:28.588Z", "message": { "role": "toolResult", "toolCallId": "call_cuBApaSvsCLo4X4nWqLSYrxj|fc_0ff3a93ad93b26e40169faceac2a008197b05df58eb9b2feb0", "toolName": "todo", "content": [ { "type": "text", "text": "Created #2: Harden pi scripts to force openai-codex and update docs (pending)" } ], "details": { "action": "create", "params": { "action": "create", "subject": "Harden pi scripts to force openai-codex and update docs", "description": "Patch pi-loop and pi-job-runner to avoid ambiguous provider resolution. Update existing docs to document explicit provider/model usage for reliable unattended jobs.", "activeForm": "patching pi scripts and docs", "owner": "sebas-agent", "status": "in_progress" }, "tasks": [ { "id": 1, "subject": "Diagnose pi CLI invocation/auth issue", "status": "completed", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" }, { "id": 2, "subject": "Harden pi scripts to force openai-codex and update docs", "status": "pending", "description": "Patch pi-loop and pi-job-runner to avoid ambiguous provider resolution. Update existing docs to document explicit provider/model usage for reliable unattended jobs.", "activeForm": "patching pi scripts and docs", "owner": "sebas-agent" } ], "nextId": 3 }, "isError": false, "timestamp": 1778044588588 } }, { "type": "message", "id": "9883008c", "parentId": "fbb94870", "timestamp": "2026-05-06T05:16:32.936Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_Wo4104SVO70xY49LT3ilRbu8|fc_0ff3a93ad93b26e40169faceb0a72081979ee43c4918f61279", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-loop", "offset": 1, "limit": 260 } }, { "type": "toolCall", "id": "call_bSyq183SnS4CnnqXd9whCdKt|fc_0ff3a93ad93b26e40169faceb0a72c8197b5645459d3a8e9d7", "name": "read", "arguments": { "path": "/home/sebas/pi-config/README.md", "offset": 1, "limit": 260 } }, { "type": "toolCall", "id": "call_yvJlOvR8Mzc3OOs7lupXMh1T|fc_0ff3a93ad93b26e40169faceb0a73481979e54e6a8bd049cd2", "name": "bash", "arguments": { "command": "cd /home/sebas/pi-config && grep -R \"pi-job\\|pi-loop\\|openai-codex\\|provider\" -n README.md AGENTS.md SYSTEM.md SERVICES-ARCHITECTURE.md docs bin scripts | sed -n '1,220p'", "timeout": 120 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 381, "output": 153, "cacheRead": 56832, "cacheWrite": 0, "totalTokens": 57366, "cost": { "input": 0.0009525000000000001, "output": 0.002295, "cacheRead": 0.014208, "cacheWrite": 0, "total": 0.0174555 } }, "stopReason": "toolUse", "timestamp": 1778044588590, "responseId": "resp_0ff3a93ad93b26e40169faceacdb90819793e4b515291b4e1a" } }, { "type": "message", "id": "3cc4f95b", "parentId": "9883008c", "timestamp": "2026-05-06T05:16:32.998Z", "message": { "role": "toolResult", "toolCallId": "call_Wo4104SVO70xY49LT3ilRbu8|fc_0ff3a93ad93b26e40169faceb0a72081979ee43c4918f61279", "toolName": "read", "content": [ { "type": "text", "text": "#!/usr/bin/env bash\nset -euo pipefail\n\nusage() {\n cat <<'EOF'\nUsage:\n pi-loop --count N --prompt TEXT [options]\n pi-loop --count N --prompt-file FILE [options]\n\nOptions:\n --count N Number of iterations. Required.\n --prompt TEXT Base prompt. Required unless --prompt-file is used.\n --prompt-file FILE Read base prompt from file.\n --cwd DIR Working dir for pi. Default: current dir.\n --model MODEL Pass --model to pi.\n --thinking LEVEL Pass --thinking to pi.\n --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n --tail-lines N Prior output lines injected into next prompt. Default: 120.\n --keep-going Continue loop even if one iteration fails.\n --no-extensions Pass --no-extensions to pi. Default: on.\n --allow-extensions Do not pass --no-extensions.\n -h, --help Show help.\n\nExamples:\n pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n pi-loop --count 10 --prompt-file ./task.txt --model gpt-5.4-mini\nEOF\n}\n\nCOUNT=\"\"\nPROMPT=\"\"\nPROMPT_FILE=\"\"\nCWD=\"$(pwd)\"\nMODEL=\"\"\nTHINKING=\"\"\nTAIL_LINES=120\nKEEP_GOING=0\nDISABLE_EXTENSIONS=1\nSTAMP=\"$(date -u +%Y%m%dT%H%M%SZ)\"\nOUTPUT_DIR=\"/mnt/rpi/pi-loop-runs/$STAMP\"\n\nwhile [[ $# -gt 0 ]]; do\n case \"$1\" in\n --count) COUNT=\"$2\"; shift 2 ;;\n --prompt) PROMPT=\"$2\"; shift 2 ;;\n --prompt-file) PROMPT_FILE=\"$2\"; shift 2 ;;\n --cwd) CWD=\"$2\"; shift 2 ;;\n --model) MODEL=\"$2\"; shift 2 ;;\n --thinking) THINKING=\"$2\"; shift 2 ;;\n --output-dir) OUTPUT_DIR=\"$2\"; shift 2 ;;\n --tail-lines) TAIL_LINES=\"$2\"; shift 2 ;;\n --keep-going) KEEP_GOING=1; shift ;;\n --no-extensions) DISABLE_EXTENSIONS=1; shift ;;\n --allow-extensions) DISABLE_EXTENSIONS=0; shift ;;\n -h|--help) usage; exit 0 ;;\n *) echo \"Unknown arg: $1\" >&2; usage >&2; exit 1 ;;\n esac\ndone\n\nif [[ -z \"$COUNT\" ]]; then\n echo \"--count required\" >&2\n exit 1\nfi\nif ! [[ \"$COUNT\" =~ ^[1-9][0-9]*$ ]]; then\n echo \"--count must be a positive integer\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT\" && -n \"$PROMPT_FILE\" ]]; then\n echo \"Use either --prompt or --prompt-file, not both\" >&2\n exit 1\nfi\nif [[ -z \"$PROMPT\" && -z \"$PROMPT_FILE\" ]]; then\n echo \"Prompt required\" >&2\n exit 1\nfi\nif [[ ! -d \"$CWD\" ]]; then\n echo \"cwd not found: $CWD\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT_FILE\" ]]; then\n if [[ ! -f \"$PROMPT_FILE\" ]]; then\n echo \"prompt file not found: $PROMPT_FILE\" >&2\n exit 1\n fi\n PROMPT=\"$(cat \"$PROMPT_FILE\")\"\nfi\nif ! [[ \"$TAIL_LINES\" =~ ^[0-9]+$ ]]; then\n echo \"--tail-lines must be a non-negative integer\" >&2\n exit 1\nfi\n\nmkdir -p \"$OUTPUT_DIR\"\nCWD_ABS=\"$(cd \"$CWD\" && pwd)\"\nBASE_PROMPT_FILE=\"$OUTPUT_DIR/base-prompt.txt\"\nprintf '%s\\n' \"$PROMPT\" > \"$BASE_PROMPT_FILE\"\n\ncat > \"$OUTPUT_DIR/run-meta.txt\" < \"$PROMPT_FILE_ITER\"\n\n printf 'running\\n' > \"$STATUS_FILE\"\n date -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$ITER_DIR/started_at.txt\"\n\n set +e\n (\n cd \"$CWD_ABS\"\n pi \"${PI_ARGS[@]}\" -p \"$(cat \"$PROMPT_FILE_ITER\")\"\n ) 2>&1 | tee \"$OUTPUT_FILE\"\n EXIT_CODE=${PIPESTATUS[0]}\n set -e\n\n printf '%s\\n' \"$EXIT_CODE\" > \"$ITER_DIR/exit_code.txt\"\n date -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$ITER_DIR/finished_at.txt\"\n\n if [[ \"$EXIT_CODE\" -eq 0 ]]; then\n printf 'succeeded\\n' > \"$STATUS_FILE\"\n else\n printf 'failed\\n' > \"$STATUS_FILE\"\n FAILURES=$((FAILURES + 1))\n if [[ \"$KEEP_GOING\" -ne 1 ]]; then\n echo \"iteration $i failed with exit code $EXIT_CODE\" >&2\n echo \"run_dir=$OUTPUT_DIR\" >&2\n exit \"$EXIT_CODE\"\n fi\n fi\n\n LAST_OUTPUT_FILE=\"$OUTPUT_FILE\"\ndone\n\necho \"run_dir=$OUTPUT_DIR\"\necho \"iterations=$COUNT\"\necho \"failures=$FAILURES\"\n" } ], "isError": false, "timestamp": 1778044592997 } }, { "type": "message", "id": "56fab5bf", "parentId": "3cc4f95b", "timestamp": "2026-05-06T05:16:32.999Z", "message": { "role": "toolResult", "toolCallId": "call_bSyq183SnS4CnnqXd9whCdKt|fc_0ff3a93ad93b26e40169faceb0a72c8197b5645459d3a8e9d7", "toolName": "read", "content": [ { "type": "text", "text": "# pi-config\n\nPersonal Pi configuration for **sebasfavaron**.\n\n## Included\n- `AGENTS.md`\n- `MIGRATION.md`\n- `settings.json`\n- `extensions/subagent/`\n- `extensions/questionnaire.ts`\n- `extensions/session-memory-prompt.ts`\n- `scripts/apply-pi-shutdown-hook-patch.py`\n- `scripts/session-memory-analyzer.py`\n- `scripts/session-memory-dispatcher.py`\n- `scripts/install-session-memory-dispatcher.service`\n- `bin/tmp-cleanup` / `/tmp` cleanup tool\n- `scripts/install-tmp-cleanup-cron.sh` cron installer for /tmp cleanup\n- `bin/laptop-*` remote laptop helper scripts\n- `bin/laptop-write` atomic remote file writer for laptop files\n\n## Goal\n\nMake this repo both the source of truth **and the live Pi config directory**.\n\n## Notes\n\n- Direct, compressed, low-noise communication is the default style.\n- Session close hook now prompts once before switch/fork/exit to encourage saving durable memory into agents-database.\n- Session memory now uses an external local dispatcher on `127.0.0.1:17882`; the hook only captures session identity/context, the dispatcher enqueues metadata, and a background analyzer decides whether anything durable is worth saving.\n- The canonical memory pipeline lives in `agents-database` (`MemoryService` / `MemoryEngine`). Repo-local helpers should only capture session context and hand off to that service.\n- The analyzer uses `pi` in background with a cheap model (`gpt-5.4-mini`) and thinking off when possible.\n- Use `./scripts/install-session-memory-dispatcher.service` to keep the dispatcher alive under systemd user service if desired.\n- The old `session_before_shutdown` runtime patch remains as fallback only if you choose to keep it enabled.\n- Reapply the runtime patch after Pi upgrades only if you still use that fallback: `./scripts/apply-pi-shutdown-hook-patch.py`\n- **Pending validation:** confirm the default communication mode auto-loads in every new Pi session.\n- Top-level `/tmp` files older than 3 days are cleaned every 3 days via `bin/tmp-cleanup`.\n- Install the cleanup cron with `scripts/install-tmp-cleanup-cron.sh`.\n- Remote laptop workflow can be driven from this Pi using `bin/laptop-run`, `bin/laptop-read`, `bin/laptop-write`, `bin/laptop-rsync`, `bin/laptop-mount`, and `bin/laptop-umount` against host `sebastians-macbook-pro-2`.\n\n## Local server routes on `ballbox-first`\n\nCurrent nginx portal on `:80` exposes:\n- `/` → portal home from `/var/www/portal`\n- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count\n- `/portal/` → proxied app on `127.0.0.1:18789`\n- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`\n- `/files/` → copyparty file server on `127.0.0.1:3923`\n- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`\n\nImplementation note for `/mp3-share/`:\n- nginx route lives in `/etc/nginx/sites-available/kiosk`\n- portal home link lives in `/var/www/portal/index.html`\n- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree\n\n## Remote laptop helpers\n\nDefault host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.\n\nExamples:\n- `bin/laptop-run 'uname -a'`\n- `bin/laptop-read /Users/sebas/.zshrc | sed -n '1,40p'`\n- `bin/laptop-rsync sebastians-macbook-pro-2:/Users/sebas/Downloads/file ./`\n- `bin/laptop-rsync ./localfile sebastians-macbook-pro-2:/Users/sebas/Downloads/`\n- `printf 'new contents\\n' | bin/laptop-write /Users/sebas/Downloads/test.txt`\n- `bin/laptop-write --from ./localfile /Users/sebas/Downloads/test.txt`\n- `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`\n\n## /tmp cleanup\n\nTop-level `/tmp` files older than 3 days are cleaned every 3 days.\n\n- `bin/tmp-cleanup [--dry-run]`\n- `scripts/install-tmp-cleanup-cron.sh`\n\n" } ], "isError": false, "timestamp": 1778044592998 } }, { "type": "message", "id": "fb80216a", "parentId": "56fab5bf", "timestamp": "2026-05-06T05:16:33.006Z", "message": { "role": "toolResult", "toolCallId": "call_yvJlOvR8Mzc3OOs7lupXMh1T|fc_0ff3a93ad93b26e40169faceb0a73481979e54e6a8bd049cd2", "toolName": "bash", "content": [ { "type": "text", "text": "grep: scripts/__pycache__/session-memory-analyzer.cpython-313.pyc: binary file matches\nREADME.md:44:- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count\nSERVICES-ARCHITECTURE.md:126:Use `/mnt/rpi/pi-jobs` as durable runtime storage.\nSERVICES-ARCHITECTURE.md:131:/mnt/rpi/pi-jobs/jobs//\nSERVICES-ARCHITECTURE.md:144:- `pi-job-start` creates the job directory and launches a detached runner with `nohup`.\nSERVICES-ARCHITECTURE.md:147:- `pi-job-check` reconciles file status with `pid` liveness and prints recent log lines.\nSERVICES-ARCHITECTURE.md:148:- `pi-job-wait` is a simple poll loop over status files plus `pid` liveness.\nSERVICES-ARCHITECTURE.md:149:- `pi-job-stop` sends `TERM`/`KILL` to the recorded `pid` and marks the job as stopped.\nbin/pi-loop:7: pi-loop --count N --prompt TEXT [options]\nbin/pi-loop:8: pi-loop --count N --prompt-file FILE [options]\nbin/pi-loop:17: --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\nbin/pi-loop:25: pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\nbin/pi-loop:26: pi-loop --count 10 --prompt-file ./task.txt --model gpt-5.4-mini\nbin/pi-loop:40:OUTPUT_DIR=\"/mnt/rpi/pi-loop-runs/$STAMP\"\nbin/pi-job-start:7: pi-job-start --cwd PATH --prompt TEXT [--name SLUG] [--runtime-root DIR]\nbin/pi-job-start:8: pi-job-start --cwd PATH --prompt-file FILE [--name SLUG] [--runtime-root DIR]\nbin/pi-job-start:20:RUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\nbin/pi-job-start:64:RUNNER_PATH=\"$(cd \"$(dirname \"$0\")\" && pwd)/pi-job-runner\"\nbin/pi-job-active-count:4:OUT=\"${1:-/var/www/portal/pi-job-status.json}\"\nbin/pi-job-active-count:5:RUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\nbin/pi-job-list:4:RUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\nbin/pi-job-stop:5: echo \"Usage: pi-job-stop JOB_ID [--runtime-root DIR]\"\nbin/pi-job-stop:9:RUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\nbin/pi-job-wait:5: echo \"Usage: pi-job-wait JOB_ID [--poll-seconds N] [--lines N] [--runtime-root DIR]\"\nbin/pi-job-wait:11:RUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\nbin/pi-job-wait:50:\"$(cd \"$(dirname \"$0\")\" && pwd)/pi-job-check\" \"$JOB_ID\" --lines \"$LINES\" --runtime-root \"$RUNTIME_ROOT\"\nbin/pi-job-check:5: echo \"Usage: pi-job-check JOB_ID [--lines N] [--runtime-root DIR]\"\nbin/pi-job-check:10:RUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\nscripts/install-pi-job-status-timer.sh:4:sudo install -m 0644 /home/sebas/pi-config/scripts/pi-job-status-writer.service /etc/systemd/system/pi-job-status-writer.service\nscripts/install-pi-job-status-timer.sh:5:sudo install -m 0644 /home/sebas/pi-config/scripts/pi-job-status-writer.timer /etc/systemd/system/pi-job-status-writer.timer\nscripts/install-pi-job-status-timer.sh:7:sudo systemctl enable --now pi-job-status-writer.timer\nscripts/install-pi-job-status-timer.sh:8:sudo systemctl start pi-job-status-writer.service\nscripts/install-pi-job-status-timer.sh:9:systemctl status --no-pager pi-job-status-writer.timer | sed -n '1,12p'\nscripts/pi-job-status-writer.service:9:ExecStart=/home/sebas/pi-config/bin/pi-job-active-count /var/www/portal/pi-job-status.json\nscripts/session-memory-analyzer.py:52: \"--provider\",\nscripts/session-memory-analyzer.py:53: \"openai-codex\",\nscripts/pi-job-status-writer.timer:7:Unit=pi-job-status-writer.service\n" } ], "isError": false, "timestamp": 1778044592998 } }, { "type": "message", "id": "0e18a879", "parentId": "fb80216a", "timestamp": "2026-05-06T05:16:37.129Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Updating architecture details**\n\nI need to take a look at the SERVICES-ARCHITECTURE to see if there's any mention of nohup being outdated. I think it’s important to read the relevant section carefully to ensure I have the most current information. This could be a good opportunity to refresh my understanding and make sure everything is up to date. Let’s check that out and see what I find!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169faceb258108197afade979ece7fbbf\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s60j09N1PT9jFE8utz2GEYP6RcfZqVX1HWU8qQJaxR9vhqW3h5yJxfHlcpSL3Xhc1Fifg95ru-VEZtbC4FWu4NZii2LqeDVQkMYB-iJh9RPyUs8v-sMHyY57eVUvFrnR0LipFsozwAXD1DjSKK9vNPSg6QPVQXaErtFLfNeQ1KDQPztCQkvqYfe9MuLLJ307_Q9vPu7DsjuvTTWmU5yY6nT_8rHinUSJjywenj2fGzmiWtvDmBIVl1ADtrJC7mXUuF_BBnd3bjlllPCfCV5CksERZ2plcW6Qn6cmIQWk2Ri2feplWGIH4O-U1YW7WCgX3hMJLKirVvnJq-2PLI64CWaBynWOkn3ujvO_eluUL_vp4CJd464OpefI8GW6y2MnJR2Dsb3r_0XLvELweOCg2Dq4UmmCrpxVuX8JXa-upgPD5d_yGkqfOdHQO_j8hckcrhtPdX49oCphOK2lm_ucvrjaws-iXRA9nAYvX5IUpVem1jcc0EwwHh98IemcE7Rrf2r0RBdZo-2jfw6GThRIyYiawiXtyDlGUwj2cZhh52TFEHtR-orF_A8v1zbFLt_chUVjwn_qLhxhmOg6XIc0yvUTB9C-QQRsBQSa75RXRpmTYmJT0ipKLYz3WoYGp-Y6GoJx4DJsxZX36o1zBO9Ad8XlXb5NVVxlqet4NvpRlVMPKYW2W38nCnW-PsU5WKXQomJvht0mCupcoaIcmEJY6xIq8K0Q-CIc3KH-BoVc-37gl31kmMgBVaRwn-Q1BdpT3_fu_Pe_WqWGvTHBvXE4l5e9EF4IziYWqZoetjn3pXjGB8qshw3nEPsN4nW2SwPcxdO9v2lREEo_rev2HMRWROehhPXOaI55SmUwhXIjy6yXXg4Y2lZpOoh9f8556kfrGcMPDogL_MzTj93kyrWM1I79WJyKi7XCz2pxugl-3DUB-AD2W450LjcIHRGRO09ZCqt0__9-QpreKZpnDZuUCnA7p42GGoxbpOKd4pc0ayXWTw2Oa99eT8q6Ms7fbUvcp4hWcxEkeiky7vgz4HI7TjT9g==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Updating architecture details**\\n\\nI need to take a look at the SERVICES-ARCHITECTURE to see if there's any mention of nohup being outdated. I think it’s important to read the relevant section carefully to ensure I have the most current information. This could be a good opportunity to refresh my understanding and make sure everything is up to date. Let’s check that out and see what I find!\"}]}" }, { "type": "toolCall", "id": "call_Jz3rxMnwhGINJSAnMimay1oz|fc_0ff3a93ad93b26e40169faceb4f50c8197bd9bd34bcef13ce5", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-job-runner", "offset": 1, "limit": 220 } }, { "type": "toolCall", "id": "call_z9AcyZpXtzhR9JyAGVJUXXIA|fc_0ff3a93ad93b26e40169faceb4f51c8197adea5173578413df", "name": "read", "arguments": { "path": "/home/sebas/pi-config/SERVICES-ARCHITECTURE.md", "offset": 118, "limit": 80 } }, { "type": "toolCall", "id": "call_07lri09edeJG7HKRsP6NmB44|fc_0ff3a93ad93b26e40169faceb4f524819798194e06259ec0bb", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/pi-job-start", "offset": 1, "limit": 120 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 4209, "output": 140, "cacheRead": 56832, "cacheWrite": 0, "totalTokens": 61181, "cost": { "input": 0.0105225, "output": 0.0021, "cacheRead": 0.014208, "cacheWrite": 0, "total": 0.0268305 } }, "stopReason": "toolUse", "timestamp": 1778044593000, "responseId": "resp_0ff3a93ad93b26e40169faceb17e4c8197918cf3bc728a3a43" } }, { "type": "message", "id": "a4a4ef6d", "parentId": "0e18a879", "timestamp": "2026-05-06T05:16:37.138Z", "message": { "role": "toolResult", "toolCallId": "call_Jz3rxMnwhGINJSAnMimay1oz|fc_0ff3a93ad93b26e40169faceb4f50c8197bd9bd34bcef13ce5", "toolName": "read", "content": [ { "type": "text", "text": "#!/usr/bin/env bash\nset -euo pipefail\n\nJOB_DIR=\"${1:?job dir required}\"\n\n# shellcheck disable=SC1091\nsource \"$JOB_DIR/meta.env\"\n\nmkdir -p \"$JOB_DIR\"\nprintf 'running\\n' > \"$JOB_DIR/status\"\ndate -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$JOB_DIR/started_at\"\n\ncd \"$CWD\"\nPROMPT=\"$(cat \"$JOB_DIR/prompt.txt\")\"\n\nset +e\npi --no-extensions -p \"$PROMPT\" 2>&1 | tee -a \"$JOB_DIR/output.log\"\nPI_EXIT=${PIPESTATUS[0]}\nset -e\n\nprintf '%s\\n' \"$PI_EXIT\" > \"$JOB_DIR/exit_code\"\ndate -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$JOB_DIR/finished_at\"\n\nif [[ \"$PI_EXIT\" -eq 0 ]]; then\n printf 'succeeded\\n' > \"$JOB_DIR/status\"\nelse\n printf 'failed\\n' > \"$JOB_DIR/status\"\nfi\n\nexit \"$PI_EXIT\"\n" } ], "isError": false, "timestamp": 1778044597137 } }, { "type": "message", "id": "27b620a3", "parentId": "a4a4ef6d", "timestamp": "2026-05-06T05:16:37.139Z", "message": { "role": "toolResult", "toolCallId": "call_z9AcyZpXtzhR9JyAGVJUXXIA|fc_0ff3a93ad93b26e40169faceb4f51c8197adea5173578413df", "toolName": "read", "content": [ { "type": "text", "text": "- `pi` runs non-interactively (`pi --no-extensions -p`) in a detached background process\n- output is written to a durable log file\n- parent orchestrator can poll state, tail logs, wait, or stop the process\n- no cron, no background daemon, no extra service layer\n- no tmux dependency for one-shot jobs\n\n### Runtime layout\n\nUse `/mnt/rpi/pi-jobs` as durable runtime storage.\n\nPer job:\n\n```text\n/mnt/rpi/pi-jobs/jobs//\n meta.env\n prompt.txt\n output.log\n status\n pid\n exit_code\n started_at\n finished_at\n```\n\n### Process model\n\n- `pi-job-start` creates the job directory and launches a detached runner with `nohup`.\n- the runner executes `pi -p` in the requested directory.\n- the runner writes status files and appends full stdout/stderr to `output.log`.\n- `pi-job-check` reconciles file status with `pid` liveness and prints recent log lines.\n- `pi-job-wait` is a simple poll loop over status files plus `pid` liveness.\n- `pi-job-stop` sends `TERM`/`KILL` to the recorded `pid` and marks the job as stopped.\n\n### Why this path\n\nThis keeps the batch layer native and inspectable:\n\n- detached process for lifetime\n- shell scripts for control\n- plain files for logs and metadata\n\nUse tmux only for interactive persistent `pi` sessions (`pitmux`, Telegram service), not one-shot batch jobs.\n\nNo interactive key injection workflow is assumed beyond the initial prompt.\n\n## Dedicated Telegram `pi` service\n\nFor an always-reachable Telegram agent, run one dedicated `pi` instance under a user systemd service and keep tmux as the PTY container.\n\nDesired shape:\n\n- one fixed tmux session: `pi-telegram`\n- one fixed working directory: `/home/sebas`\n- one fixed config dir: `/home/sebas/pi-config`\n- service restarts on boot via user systemd\n- service loop recreates the tmux session if `pi` exits\n- Telegram ownership stays on that one instance; use `/new` there when you want a fresh conversation\n\n### Runtime pieces\n\n- launcher loop: `/home/sebas/pi-config/bin/pi-telegram-service`\n- user service: `~/.config/systemd/user/pi-telegram.service`\n- tmux session name: `pi-telegram`\n\n### Behavior\n\n- first-time setup still needs one manual `/telegram-connect` inside that dedicated `pi` session\n- after that, normal conversation and `/new` stay inside the same long-lived instance\n- after reboot, the service relaunches the same tmux-backed `pi` process from the same `cwd`, which matches the Telegram bridge auto-resume model\n\n## Wi‑Fi tracker service\n\nA lightweight Wi‑Fi/LAN presence tracker now runs on this machine and publishes a small dashboard through nginx.\n\nScope of this service:\n\n- collect device presence visible from this Pi on the local LAN\n- keep an append-only JSONL activity log\n- maintain per-device aliases set from the web UI\n- publish a derived summary for dashboard rendering\n\n[153 more lines in file. Use offset=198 to continue.]" } ], "isError": false, "timestamp": 1778044597138 } }, { "type": "message", "id": "787d4edd", "parentId": "27b620a3", "timestamp": "2026-05-06T05:16:37.145Z", "message": { "role": "toolResult", "toolCallId": "call_07lri09edeJG7HKRsP6NmB44|fc_0ff3a93ad93b26e40169faceb4f524819798194e06259ec0bb", "toolName": "read", "content": [ { "type": "text", "text": "#!/usr/bin/env bash\nset -euo pipefail\n\nusage() {\n cat <<'EOF'\nUsage:\n pi-job-start --cwd PATH --prompt TEXT [--name SLUG] [--runtime-root DIR]\n pi-job-start --cwd PATH --prompt-file FILE [--name SLUG] [--runtime-root DIR]\nEOF\n}\n\nslugify() {\n printf '%s' \"$1\" | tr '[:upper:]' '[:lower:]' | sed -E 's/[^a-z0-9]+/-/g; s/^-+//; s/-+$//; s/-+/-/g'\n}\n\nCWD=\"\"\nPROMPT=\"\"\nPROMPT_FILE=\"\"\nNAME=\"job\"\nRUNTIME_ROOT=\"${PI_JOB_ROOT:-/home/sebas/pi-jobs}\"\n\nwhile [[ $# -gt 0 ]]; do\n case \"$1\" in\n --cwd) CWD=\"$2\"; shift 2 ;;\n --prompt) PROMPT=\"$2\"; shift 2 ;;\n --prompt-file) PROMPT_FILE=\"$2\"; shift 2 ;;\n --name) NAME=\"$2\"; shift 2 ;;\n --runtime-root) RUNTIME_ROOT=\"$2\"; shift 2 ;;\n -h|--help) usage; exit 0 ;;\n *) echo \"Unknown arg: $1\" >&2; usage >&2; exit 1 ;;\n esac\ndone\n\nif [[ -z \"$CWD\" ]]; then\n echo \"--cwd required\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT\" && -n \"$PROMPT_FILE\" ]]; then\n echo \"Use either --prompt or --prompt-file, not both\" >&2\n exit 1\nfi\nif [[ -z \"$PROMPT\" && -z \"$PROMPT_FILE\" ]]; then\n echo \"Prompt required\" >&2\n exit 1\nfi\nif [[ ! -d \"$CWD\" ]]; then\n echo \"cwd not found: $CWD\" >&2\n exit 1\nfi\nif [[ -n \"$PROMPT_FILE\" && ! -f \"$PROMPT_FILE\" ]]; then\n echo \"prompt file not found: $PROMPT_FILE\" >&2\n exit 1\nfi\n\nmkdir -p \"$RUNTIME_ROOT/jobs\"\nSTAMP=\"$(date -u +%Y%m%dT%H%M%SZ)\"\nSLUG=\"$(slugify \"$NAME\")\"\n[[ -n \"$SLUG\" ]] || SLUG=\"job\"\nJOB_ID=\"$STAMP-$SLUG\"\nJOB_DIR=\"$RUNTIME_ROOT/jobs/$JOB_ID\"\nmkdir -p \"$JOB_DIR\"\n\nCWD_ABS=\"$(cd \"$CWD\" && pwd)\"\nRUNNER_PATH=\"$(cd \"$(dirname \"$0\")\" && pwd)/pi-job-runner\"\n\ncat > \"$JOB_DIR/meta.env\" < \"$JOB_DIR/prompt.txt\"\nfi\n\nprintf 'queued\\n' > \"$JOB_DIR/status\"\n: > \"$JOB_DIR/output.log\"\nrm -f \"$JOB_DIR/pid\" \"$JOB_DIR/exit_code\" \"$JOB_DIR/started_at\" \"$JOB_DIR/finished_at\"\n\nnohup \"$RUNNER_PATH\" \"$JOB_DIR\" >/dev/null 2>&1 < /dev/null &\nPID=$!\nprintf '%s\\n' \"$PID\" > \"$JOB_DIR/pid\"\n\ncat <&1 | tee -a \"$JOB_DIR/output.log\"\nPI_EXIT=${PIPESTATUS[0]}\nset -e\n", "newText": "cd \"$CWD\"\nPROMPT=\"$(cat \"$JOB_DIR/prompt.txt\")\"\nPI_PROVIDER=\"${PI_PROVIDER:-openai-codex}\"\nPI_MODEL=\"${PI_MODEL:-gpt-5.4-mini}\"\nPI_THINKING=\"${PI_THINKING:-low}\"\n\nset +e\npi --provider \"$PI_PROVIDER\" --model \"$PI_MODEL\" --thinking \"$PI_THINKING\" --no-extensions -p \"$PROMPT\" 2>&1 | tee -a \"$JOB_DIR/output.log\"\nPI_EXIT=${PIPESTATUS[0]}\nset -e\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1987, "output": 281, "cacheRead": 60928, "cacheWrite": 0, "totalTokens": 63196, "cost": { "input": 0.0049675000000000006, "output": 0.004215, "cacheRead": 0.015231999999999999, "cacheWrite": 0, "total": 0.0244145 } }, "stopReason": "toolUse", "timestamp": 1778044597139, "responseId": "resp_0ff3a93ad93b26e40169faceb5eb1481979c1e11fad26d9b5c" } }, { "type": "message", "id": "2687dc50", "parentId": "30d47a77", "timestamp": "2026-05-06T05:16:44.218Z", "message": { "role": "toolResult", "toolCallId": "call_nwvKzkJQzqlhihMzymCyF87V|fc_0ff3a93ad93b26e40169faceb8c69c819791d4f30d3b965be8", "toolName": "edit", "content": [ { "type": "text", "text": "Successfully replaced 1 block(s) in /home/sebas/pi-config/bin/pi-job-runner." } ], "details": { "diff": " ...\n 11 date -u +\"%Y-%m-%dT%H:%M:%SZ\" > \"$JOB_DIR/started_at\"\n 12 \n 13 cd \"$CWD\"\n 14 PROMPT=\"$(cat \"$JOB_DIR/prompt.txt\")\"\n+15 PI_PROVIDER=\"${PI_PROVIDER:-openai-codex}\"\n+16 PI_MODEL=\"${PI_MODEL:-gpt-5.4-mini}\"\n+17 PI_THINKING=\"${PI_THINKING:-low}\"\n 15 \n 16 set +e\n-17 pi --no-extensions -p \"$PROMPT\" 2>&1 | tee -a \"$JOB_DIR/output.log\"\n+20 pi --provider \"$PI_PROVIDER\" --model \"$PI_MODEL\" --thinking \"$PI_THINKING\" --no-extensions -p \"$PROMPT\" 2>&1 | tee -a \"$JOB_DIR/output.log\"\n 18 PI_EXIT=${PIPESTATUS[0]}\n 19 set -e\n 20 \n 21 printf '%s\\n' \"$PI_EXIT\" > \"$JOB_DIR/exit_code\"\n ...", "firstChangedLine": 15 }, "isError": false, "timestamp": 1778044604217 } }, { "type": "message", "id": "0dab98c9", "parentId": "2687dc50", "timestamp": "2026-05-06T05:17:01.218Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_171lslVdVzTt5St6e3fw20Yy|fc_0ff3a93ad93b26e40169facebdd2348197ad923e309b60239e", "name": "edit", "arguments": { "path": "/home/sebas/pi-config/bin/pi-loop", "edits": [ { "oldText": "Options:\n --count N Number of iterations. Required.\n --prompt TEXT Base prompt. Required unless --prompt-file is used.\n --prompt-file FILE Read base prompt from file.\n --cwd DIR Working dir for pi. Default: current dir.\n --model MODEL Pass --model to pi.\n --thinking LEVEL Pass --thinking to pi.\n --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n --tail-lines N Prior output lines injected into next prompt. Default: 120.\n --keep-going Continue loop even if one iteration fails.\n --no-extensions Pass --no-extensions to pi. Default: on.\n --allow-extensions Do not pass --no-extensions.\n -h, --help Show help.\n\nExamples:\n pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n pi-loop --count 10 --prompt-file ./task.txt --model gpt-5.4-mini\n", "newText": "Options:\n --count N Number of iterations. Required.\n --prompt TEXT Base prompt. Required unless --prompt-file is used.\n --prompt-file FILE Read base prompt from file.\n --cwd DIR Working dir for pi. Default: current dir.\n --provider NAME Pass --provider to pi. Default: openai-codex.\n --model MODEL Pass --model to pi. Default: gpt-5.4-mini.\n --thinking LEVEL Pass --thinking to pi. Default: low.\n --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n --tail-lines N Prior output lines injected into next prompt. Default: 120.\n --keep-going Continue loop even if one iteration fails.\n --no-extensions Pass --no-extensions to pi. Default: on.\n --allow-extensions Do not pass --no-extensions.\n -h, --help Show help.\n\nExamples:\n pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n pi-loop --count 10 --prompt-file ./task.txt --provider openai-codex --model gpt-5.4-mini\n" }, { "oldText": "MODEL=\"\"\nTHINKING=\"\"\n", "newText": "PROVIDER=\"openai-codex\"\nMODEL=\"gpt-5.4-mini\"\nTHINKING=\"low\"\n" }, { "oldText": " --model) MODEL=\"$2\"; shift 2 ;;\n --thinking) THINKING=\"$2\"; shift 2 ;;\n", "newText": " --provider) PROVIDER=\"$2\"; shift 2 ;;\n --model) MODEL=\"$2\"; shift 2 ;;\n --thinking) THINKING=\"$2\"; shift 2 ;;\n" }, { "oldText": "model=$MODEL\nthinking=$THINKING\n", "newText": "provider=$PROVIDER\nmodel=$MODEL\nthinking=$THINKING\n" }, { "oldText": "if [[ -n \"$MODEL\" ]]; then\n PI_ARGS+=(--model \"$MODEL\")\nfi\nif [[ -n \"$THINKING\" ]]; then\n PI_ARGS+=(--thinking \"$THINKING\")\nfi\n", "newText": "if [[ -n \"$PROVIDER\" ]]; then\n PI_ARGS+=(--provider \"$PROVIDER\")\nfi\nif [[ -n \"$MODEL\" ]]; then\n PI_ARGS+=(--model \"$MODEL\")\nfi\nif [[ -n \"$THINKING\" ]]; then\n PI_ARGS+=(--thinking \"$THINKING\")\nfi\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 762, "output": 849, "cacheRead": 62464, "cacheWrite": 0, "totalTokens": 64075, "cost": { "input": 0.0019050000000000002, "output": 0.012735, "cacheRead": 0.015616, "cacheWrite": 0, "total": 0.030255999999999998 } }, "stopReason": "toolUse", "timestamp": 1778044604220, "responseId": "resp_0ff3a93ad93b26e40169facebcb4c08197a4b6e89cf120f615" } }, { "type": "message", "id": "a1d01ca0", "parentId": "0dab98c9", "timestamp": "2026-05-06T05:17:01.231Z", "message": { "role": "toolResult", "toolCallId": "call_171lslVdVzTt5St6e3fw20Yy|fc_0ff3a93ad93b26e40169facebdd2348197ad923e309b60239e", "toolName": "edit", "content": [ { "type": "text", "text": "Successfully replaced 5 block(s) in /home/sebas/pi-config/bin/pi-loop." } ], "details": { "diff": " ...\n 11 --count N Number of iterations. Required.\n 12 --prompt TEXT Base prompt. Required unless --prompt-file is used.\n 13 --prompt-file FILE Read base prompt from file.\n 14 --cwd DIR Working dir for pi. Default: current dir.\n- 15 --model MODEL Pass --model to pi.\n- 16 --thinking LEVEL Pass --thinking to pi.\n+ 15 --provider NAME Pass --provider to pi. Default: openai-codex.\n+ 16 --model MODEL Pass --model to pi. Default: gpt-5.4-mini.\n+ 17 --thinking LEVEL Pass --thinking to pi. Default: low.\n 17 --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n 18 --tail-lines N Prior output lines injected into next prompt. Default: 120.\n 19 --keep-going Continue loop even if one iteration fails.\n 20 --no-extensions Pass --no-extensions to pi. Default: on.\n ...\n 22 -h, --help Show help.\n 23 \n 24 Examples:\n 25 pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n- 26 pi-loop --count 10 --prompt-file ./task.txt --model gpt-5.4-mini\n+ 27 pi-loop --count 10 --prompt-file ./task.txt --provider openai-codex --model gpt-5.4-mini\n 27 EOF\n 28 }\n 29 \n 30 COUNT=\"\"\n 31 PROMPT=\"\"\n 32 PROMPT_FILE=\"\"\n 33 CWD=\"$(pwd)\"\n- 34 MODEL=\"\"\n- 35 THINKING=\"\"\n+ 35 PROVIDER=\"openai-codex\"\n+ 36 MODEL=\"gpt-5.4-mini\"\n+ 37 THINKING=\"low\"\n 36 TAIL_LINES=120\n 37 KEEP_GOING=0\n 38 DISABLE_EXTENSIONS=1\n 39 STAMP=\"$(date -u +%Y%m%dT%H%M%SZ)\"\n ...\n 44 --count) COUNT=\"$2\"; shift 2 ;;\n 45 --prompt) PROMPT=\"$2\"; shift 2 ;;\n 46 --prompt-file) PROMPT_FILE=\"$2\"; shift 2 ;;\n 47 --cwd) CWD=\"$2\"; shift 2 ;;\n+ 50 --provider) PROVIDER=\"$2\"; shift 2 ;;\n 48 --model) MODEL=\"$2\"; shift 2 ;;\n 49 --thinking) THINKING=\"$2\"; shift 2 ;;\n 50 --output-dir) OUTPUT_DIR=\"$2\"; shift 2 ;;\n 51 --tail-lines) TAIL_LINES=\"$2\"; shift 2 ;;\n ...\n 97 cat > \"$OUTPUT_DIR/run-meta.txt\" < /tmp/pi-loop-test-2/prompt.txt <<'EOF'\nCreate or update a file named loop-test.txt in the current working directory. Append one short line that states which iteration you believe this is, based on the prompt context. Keep changes minimal.\nEOF\n/home/sebas/pi-config/bin/pi-loop --count 3 --cwd /tmp/pi-loop-test-2 --prompt-file /tmp/pi-loop-test-2/prompt.txt --keep-going >/tmp/pi-loop-test-2/run.out 2>&1\ncat /tmp/pi-loop-test-2/run.out\nprintf '\\n===== file =====\\n'\ncat /tmp/pi-loop-test-2/loop-test.txt", "timeout": 1800 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 771, "output": 282, "cacheRead": 64000, "cacheWrite": 0, "totalTokens": 65053, "cost": { "input": 0.0019275000000000002, "output": 0.00423, "cacheRead": 0.016, "cacheWrite": 0, "total": 0.0221575 } }, "stopReason": "toolUse", "timestamp": 1778044636187, "responseId": "resp_0ff3a93ad93b26e40169facedcf8bc8197901b7b927f9b64b1" } }, { "type": "message", "id": "4a74fe58", "parentId": "54bd45a0", "timestamp": "2026-05-06T05:17:42.864Z", "message": { "role": "toolResult", "toolCallId": "call_F8uDTexoHNVMsNlwDCqASMty|fc_0ff3a93ad93b26e40169facee3d96c8197a43331a92466d471", "toolName": "bash", "content": [ { "type": "text", "text": "Usage:\n pi-loop --count N --prompt TEXT [options]\n pi-loop --count N --prompt-file FILE [options]\n\nOptions:\n --count N Number of iterations. Required.\n --prompt TEXT Base prompt. Required unless --prompt-file is used.\n --prompt-file FILE Read base prompt from file.\n --cwd DIR Working dir for pi. Default: current dir.\n --provider NAME Pass --provider to pi. Default: openai-codex.\n --model MODEL Pass --model to pi. Default: gpt-5.4-mini.\n --thinking LEVEL Pass --thinking to pi. Default: low.\n --output-dir DIR Run artifacts dir. Default: /mnt/rpi/pi-loop-runs/TIMESTAMP\n --tail-lines N Prior output lines injected into next prompt. Default: 120.\n --keep-going Continue loop even if one iteration fails.\n --no-extensions Pass --no-extensions to pi. Default: on.\n --allow-extensions Do not pass --no-extensions.\n -h, --help Show help.\n\nExamples:\n pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n pi-loop --count 10 --prompt-file ./task.txt --provider openai-codex --model gpt-5.4-mini\n" } ], "isError": false, "timestamp": 1778044662864 } }, { "type": "message", "id": "43ab904b", "parentId": "4a74fe58", "timestamp": "2026-05-06T05:17:42.866Z", "message": { "role": "toolResult", "toolCallId": "call_EBGf7zDO8sxcBIMV98Qqvbht|fc_0ff3a93ad93b26e40169facee3d98081979cff2558b7e302a3", "toolName": "bash", "content": [ { "type": "text", "text": "Warning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nDone.\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nDone.\nWarning: No models match pattern \"google-gemini-cli/gemini-3-flash-preview\"\nWarning: No models match pattern \"nvidia/nvidia/nemotron-4-340b-instruct\"\nWarning: No models match pattern \"nvidia/minimaxai/minimax-m2.7\"\nDone.\nrun_dir=/mnt/rpi/pi-loop-runs/20260506T051724Z\niterations=3\nfailures=0\n\n===== file =====\nIteration 1\nIteration 2\nIteration 3\n" } ], "isError": false, "timestamp": 1778044662864 } }, { "type": "message", "id": "c916917e", "parentId": "43ab904b", "timestamp": "2026-05-06T05:17:45.958Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_1bpO6QansMA8n6DngN2dZfgi|fc_0ff3a93ad93b26e40169facef9531481978ee08fce991c5720", "name": "todo", "arguments": { "action": "update", "id": 2, "status": "completed" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1085, "output": 25, "cacheRead": 64512, "cacheWrite": 0, "totalTokens": 65622, "cost": { "input": 0.0027125, "output": 0.000375, "cacheRead": 0.016128, "cacheWrite": 0, "total": 0.0192155 } }, "stopReason": "toolUse", "timestamp": 1778044662866, "responseId": "resp_0ff3a93ad93b26e40169facef760fc8197800e26715e01c74a" } }, { "type": "message", "id": "eda77857", "parentId": "c916917e", "timestamp": "2026-05-06T05:17:45.960Z", "message": { "role": "toolResult", "toolCallId": "call_1bpO6QansMA8n6DngN2dZfgi|fc_0ff3a93ad93b26e40169facef9531481978ee08fce991c5720", "toolName": "todo", "content": [ { "type": "text", "text": "Updated #2 (pending → completed)" } ], "details": { "action": "update", "params": { "action": "update", "id": 2, "status": "completed" }, "tasks": [ { "id": 1, "subject": "Diagnose pi CLI invocation/auth issue", "status": "completed", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" }, { "id": 2, "subject": "Harden pi scripts to force openai-codex and update docs", "status": "completed", "description": "Patch pi-loop and pi-job-runner to avoid ambiguous provider resolution. Update existing docs to document explicit provider/model usage for reliable unattended jobs.", "activeForm": "patching pi scripts and docs", "owner": "sebas-agent" } ], "nextId": 3 }, "isError": false, "timestamp": 1778044665960 } }, { "type": "message", "id": "33874ff5", "parentId": "eda77857", "timestamp": "2026-05-06T05:17:56.612Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Hecho.\n\n## Cambios\n\n### Scripts\n- `~/pi-config/bin/pi-loop`\n - default ahora:\n - `--provider openai-codex`\n - `--model gpt-5.4-mini`\n - `--thinking low`\n - nuevo flag:\n - `--provider NAME`\n\n- `~/pi-config/bin/pi-job-runner`\n - fuerza por default:\n - `PI_PROVIDER=openai-codex`\n - `PI_MODEL=gpt-5.4-mini`\n - `PI_THINKING=low`\n - override por env:\n - `PI_PROVIDER`\n - `PI_MODEL`\n - `PI_THINKING`\n\n### Docs\n- `~/pi-config/README.md`\n- `~/pi-config/SERVICES-ARCHITECTURE.md`\n\nAgregué:\n- motivo del hardening\n- defaults seguros\n- forma de override\n- nota de usar provider/model explícitos en jobs no interactivos\n\n## Validación\n\nProbé `pi-loop` otra vez con 3 iteraciones.\nSalió bien.\n\nRun:\n- `/mnt/rpi/pi-loop-runs/20260506T051724Z`\n\nArchivo:\n```text\nIteration 1\nIteration 2\nIteration 3\n```\n\n## Recomendación de uso\n\nSeguro:\n```bash\npi --provider openai-codex --model gpt-5.4-mini ...\n```\n\nJob con override:\n```bash\nPI_MODEL=gpt-5.4 ~/pi-config/bin/pi-job-start --cwd /ruta --prompt \"hacer X\"\n```\n\nSi querés, siguiente paso: parcheo también `settings.json` para limpiar modelos rotos y sacar warnings de startup.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169facefc56cc819781fa681345eece77\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 616, "output": 360, "cacheRead": 65024, "cacheWrite": 0, "totalTokens": 66000, "cost": { "input": 0.0015400000000000001, "output": 0.0054, "cacheRead": 0.016256, "cacheWrite": 0, "total": 0.023196 } }, "stopReason": "stop", "timestamp": 1778044665961, "responseId": "resp_0ff3a93ad93b26e40169facefa437881979611266e95bafc13" } }, { "type": "message", "id": "e3af2147", "parentId": "33874ff5", "timestamp": "2026-05-06T05:17:56.622Z", "message": { "role": "user", "content": [ { "type": "text", "text": "donde queda documentado pi-loop?" } ], "timestamp": 1778044669821 } }, { "type": "message", "id": "54f6ebb0", "parentId": "e3af2147", "timestamp": "2026-05-06T05:18:01.406Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Queda documentado en dos lugares:\n\n- `~/pi-config/README.md`\n - sección: `Batch pi helpers`\n\n- `~/pi-config/bin/pi-loop`\n - `--help` embebido en el script\n\nAdemás hay contexto indirecto en:\n- `~/pi-config/SERVICES-ARCHITECTURE.md`\n - pero más enfocado en `pi-job-*`, no en `pi-loop`\n\nSi querés, le agrego una sección propia a `README.md` o un doc dedicado tipo:\n- `docs/pi-loop.md`\n\nRecomiendo `docs/pi-loop.md` si lo vas a usar seguido.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169facf06b2e88197a7b337df4f544cfe\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 9097, "output": 136, "cacheRead": 56832, "cacheWrite": 0, "totalTokens": 66065, "cost": { "input": 0.022742500000000002, "output": 0.00204, "cacheRead": 0.014208, "cacheWrite": 0, "total": 0.038990500000000004 } }, "stopReason": "stop", "timestamp": 1778044676615, "responseId": "resp_0ff3a93ad93b26e40169facf0567848197ad7ebdb52a2dc02a" } }, { "type": "message", "id": "8f65e2f4", "parentId": "54f6ebb0", "timestamp": "2026-05-06T05:18:53.130Z", "message": { "role": "user", "content": [ { "type": "text", "text": "Creo que está poco mostrado a la gente. Digamos si le propongo que use un loop no vas a ver usar la herramienta como si sabe usar PyJob." } ], "timestamp": 1778044733116 } }, { "type": "message", "id": "9290c42b", "parentId": "8f65e2f4", "timestamp": "2026-05-06T05:19:02.005Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering user suggestions**\n\nI need to provide a concise answer and suggest ways to improve documentation or help resources. It seems like the user is looking for acknowledgment and a plan. It might be beneficial to ask if the scope is clear. I could propose directly improving discoverability through some changes, which might help the user find what they need more easily. There's a lot here to think about!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169facf3ec2ac819794b3c302a7e84569\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s9AwPS3RvArZgJYOXX8ffnKWT2MbuJ7X_-LLRrgM8MUbE_p18owNfHzgumDXca28OoMlVsREsm52Qctkh2SfVEyKl_woshoIOqJjlD3YbJwkQKLn2TTpSVAX-9uuLNBpDvNrvuDY3gIfB_sSStISGxTtaDePhbU7NQo73sWd_KYeBVfuFZYCD6fwUu_lmx9sDNWXM9NzWCMafMT6j_Gimnd07JkVfPUnKmtzYuleweAlW_r7MnxfTr_6YW_5_bML6Ck9Z7GZ9uxWI_aYq0n-C5nkmczqcAsfUQ-gDP7hOpjpiBtU3ugG3QDj0QSYOpqO2lz90oaaAED0EmeHgbBr7tiIbwktty2sRpgCsIl4myPXyOk2o-QsW1ZgFC9rwTPZx_4vAWFQqkziF1bhlONk_6cFxMHStHCK36kgmRI_bfgamAPOXJ6pfQ0CAuhxn-kyDI1iz5HysGO25zDJ5wt7W3dKzGrb86qjNeyoLxpfPw1BlJlYV9_bZH0x0qI7OKTT98KWTEB_hEeBaHo3YTBhr14qLlS7XzluZ9YjP1ZqQuqHuQFZleHmnJ5TTjare9pSISfuE9MI9vsm6GBS5t_2AHgHNXD2_kFsgdd0LeK3ltm6D8VXeyP1OuqsefJxMtVkXzwR_1AmLC9N4FHt7bq6MqiWWD4_7m4dH1GPD8an_Y4vQBi8F8ItyYtQUCxGnTSz2eIBi3i0Esow8Rl3NymAbM1_E-XcPPsy2zUu-xIoEHeZxtHA_fGV1sVpI-S2x6sUKzMKwBoUMgxmC4iZiljXannco9rEShaL4Kd_QWc6CQ2jUSyGz4waMfJEQl9F_oUnpWjgPPkrJPN7-zQtx3k5nOYWJ3hlDWtrwRAZyc7CP0vKDabqY2AgRbc69I46Y7NLiJSNWhCq6C0oUWKyXRnjfvKyucCWOSIR_dvHOoCXmxbyVooUBKWoioZNca54UJuG27XVt_5hXyUqI9SiBk_OmLcgMY_dETJSGcoFozT_DvmxeTls7vIvKSE-y9lqmfOMwGCFbnPaoFtPgaF0WRYIejvYrNCNC3oRaiRIBrBlQ7eGgqu9GPtc2qoNT8lseuW0jv1moDGIX7i13GeCaV9RJp7XkrKrE7lj_XtebtdC2GNHwe546eL_Z5o1rjVGbvvkGEqldP2KMzNJYnhsCX4TF438rp4VvDMwoyjqRolSdcCJr7j6j0En2_7b87Eyko6irgJ\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering user suggestions**\\n\\nI need to provide a concise answer and suggest ways to improve documentation or help resources. It seems like the user is looking for acknowledgment and a plan. It might be beneficial to ask if the scope is clear. I could propose directly improving discoverability through some changes, which might help the user find what they need more easily. There's a lot here to think about!\"}]}" }, { "type": "text", "text": "Sí. Está escondido.\n\nHoy `pi-loop` existe, pero no está presentado como herramienta de primer nivel. `pi-job-*` tiene más “presencia mental” porque:\n- aparece en arquitectura\n- tiene familia de comandos\n- expone status/check/wait\n- ya vive en tu vocabulario operativo\n\n`pi-loop` hoy parece script suelto.\n\n## Falta\n- mención visible en docs principales\n- posición clara frente a `pi-job-*`\n- ejemplos de cuándo usar uno u otro\n- naming/entrypoint más memorable\n\n## Qué haría\n1. meter `pi-loop` en `README.md` alto, no enterrado\n2. agregar sección en `SERVICES-ARCHITECTURE.md`:\n - `pi-loop` = reintentos/iteración secuencial sobre misma tarea\n - `pi-job-*` = ejecución batch desacoplada/inspeccionable\n3. agregar tabla corta:\n - “quiero varias pasadas sobre el mismo prompt” → `pi-loop`\n - “quiero correr un job largo y luego inspeccionarlo” → `pi-job-*`\n4. sumar doc dedicado:\n - `docs/pi-loop.md`\n5. opcional: alias más memorable\n - `pi-multishot`\n - `pi-iterate`\n - o integrar `pi-loop` bajo familia `pi-job`\n\n## Recomendación fuerte\nMoverlo de “script útil” a “patrón oficial”.\n\nLa mejor forma:\n- doc dedicada\n- README visible\n- arquitectura con comparación directa contra `pi-job-*`\n\nSi querés, hago eso ahora.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169facf4081b48197868cdaeb885a02c3\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 568, "output": 389, "cacheRead": 65536, "cacheWrite": 0, "totalTokens": 66493, "cost": { "input": 0.00142, "output": 0.005835, "cacheRead": 0.016384, "cacheWrite": 0, "total": 0.023639 } }, "stopReason": "stop", "timestamp": 1778044733121, "responseId": "resp_0ff3a93ad93b26e40169facf3de6b881979e4c31e0c9d456f4" } }, { "type": "message", "id": "92a65044", "parentId": "9290c42b", "timestamp": "2026-05-06T05:19:13.993Z", "message": { "role": "user", "content": [ { "type": "text", "text": "si" } ], "timestamp": 1778044753986 } }, { "type": "message", "id": "a5280dd1", "parentId": "92a65044", "timestamp": "2026-05-06T05:19:17.260Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169facf5382c48197a798475900ce1ddf\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s9UB1_gb1H9P-IGb6PyQtgLU7qotWB0b17IFoO_zPZ8QAEIirTNT2OG80z0jnFhJDWUkqU8RghSh7zil4NnsXyOeX1Lj_K7PozYuzcfiGwTat29Md5WPVMZGrdo75ktdj-3e4nYb-RDEwoDlL2Ooz-7XZLTMrXxVwre4IxcaWgQaOcbWx2oI0-PcaQx4p7Q48Qmb5jrdK3W8iMbqZnuDm4PUO2ZphEvLodgRep7lZRHxAAS5ArMkaOsr8oGqPKWtgX4X8MioyDdprzxOZzc0TqMJqCyCjw6RmJvlYSk4cPdCI_QuIgIQX8lVr3Fy0sSG_99jkPWUYQM97o8ZzaJg8yX_sBOvnZulKkMLp9h1A4RFZclp7cfKXqJJ2dyiJMd0x_i9yEK2T7kEA6UQk4PcXmTnjPRWDMPKd6TwWymrgQRIsm9CCUC3rorpmmsdL9E3FP49n9F4Kq8N8J4Z0kCZdswqSbr7qEQOgc508DsmVCtvNlar2IRrEyzNIDtTpH9-4cub25QxKzbjAqRIi42BnSlMjZg-E10NjrRSIkMCSutqfsef-a804mwmhRbfQSu0BDLcqKqhpX8xNb_k20vPo9kQsmR2sHp_k2QUOblhXDj2YWatgJi3qMLwLuONBSd9wcMm9Igp13yjKsNOV_uM__jdnFv8MY_lxIk06kQJhwxmHVSjVsBU8kaRkD3-ViN57CiMt1eguoUWccn-leAdSY-zp8Feato72VOPPotf7ZDKHm4L_gLWF80x3sUzNridN00cALAFmN_NBzTnGfBIsuCQohjYrbUGk9UZ95D8gMzCfdSZDbVXE45fBErEtBYdEWbKxk746eXt_byp4oVLKwTq7TntwSAdBE35BAW1tGEJZKIVKG7scImpprp3kC9oP4RZStqKDcN9p7vuau1-Nm9VmFoTB0D7iMm7KAOF8p_ZdE=\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_Rpa0b9cmIIZazSLPXt3jIMVi|fc_0ff3a93ad93b26e40169facf54205881978f85c3bd04cb2dae", "name": "todo", "arguments": { "action": "create", "subject": "Promote pi-loop as first-class tool in docs", "description": "Make pi-loop visible in main docs, architecture, and add dedicated usage doc with comparison against pi-job tools.", "activeForm": "updating pi-loop docs", "owner": "sebas-agent", "status": "in_progress" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 921, "output": 84, "cacheRead": 65536, "cacheWrite": 0, "totalTokens": 66541, "cost": { "input": 0.0023025000000000003, "output": 0.00126, "cacheRead": 0.016384, "cacheWrite": 0, "total": 0.0199465 } }, "stopReason": "toolUse", "timestamp": 1778044753988, "responseId": "resp_0ff3a93ad93b26e40169facf524e848197b3de78436cc883be" } }, { "type": "message", "id": "55fdf772", "parentId": "a5280dd1", "timestamp": "2026-05-06T05:19:17.261Z", "message": { "role": "toolResult", "toolCallId": "call_Rpa0b9cmIIZazSLPXt3jIMVi|fc_0ff3a93ad93b26e40169facf54205881978f85c3bd04cb2dae", "toolName": "todo", "content": [ { "type": "text", "text": "Created #3: Promote pi-loop as first-class tool in docs (pending)" } ], "details": { "action": "create", "params": { "action": "create", "subject": "Promote pi-loop as first-class tool in docs", "description": "Make pi-loop visible in main docs, architecture, and add dedicated usage doc with comparison against pi-job tools.", "activeForm": "updating pi-loop docs", "owner": "sebas-agent", "status": "in_progress" }, "tasks": [ { "id": 1, "subject": "Diagnose pi CLI invocation/auth issue", "status": "completed", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" }, { "id": 2, "subject": "Harden pi scripts to force openai-codex 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Repo-local helpers should only capture session context and hand off to that service.\n- The analyzer uses `pi` in background with a cheap model (`gpt-5.4-mini`) and thinking off when possible.\n- For unattended `pi` scripts and jobs, prefer explicit provider/model selection. Current safe default on this machine: `--provider openai-codex --model gpt-5.4-mini`.\n- Use `./scripts/install-session-memory-dispatcher.service` to keep the dispatcher alive under systemd user service if desired.\n- The old `session_before_shutdown` runtime patch remains as fallback only if you choose to keep it enabled.\n- Reapply the runtime patch after Pi upgrades only if you still use that fallback: `./scripts/apply-pi-shutdown-hook-patch.py`\n- **Pending validation:** confirm the default communication mode auto-loads in every new Pi session.\n- Top-level `/tmp` files older than 3 days are cleaned every 3 days via `bin/tmp-cleanup`.\n- Install the cleanup cron with `scripts/install-tmp-cleanup-cron.sh`.\n- Remote laptop workflow can be driven from this Pi using `bin/laptop-run`, `bin/laptop-read`, `bin/laptop-write`, `bin/laptop-rsync`, `bin/laptop-mount`, and `bin/laptop-umount` against host `sebastians-macbook-pro-2`.\n\n## Local server routes on `ballbox-first`\n\nCurrent nginx portal on `:80` exposes:\n- `/` → portal home from `/var/www/portal`\n- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count\n- `/portal/` → proxied app on `127.0.0.1:18789`\n- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`\n- `/files/` → copyparty file server on `127.0.0.1:3923`\n- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`\n\nImplementation note for `/mp3-share/`:\n- nginx route lives in `/etc/nginx/sites-available/kiosk`\n- portal home link lives in `/var/www/portal/index.html`\n- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree\n\n## Remote laptop helpers\n\nDefault host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.\n\nExamples:\n- `bin/laptop-run 'uname -a'`\n- `bin/laptop-read /Users/sebas/.zshrc | sed -n '1,40p'`\n- `bin/laptop-rsync sebastians-macbook-pro-2:/Users/sebas/Downloads/file ./`\n- `bin/laptop-rsync ./localfile sebastians-macbook-pro-2:/Users/sebas/Downloads/`\n- `printf 'new contents\\n' | bin/laptop-write /Users/sebas/Downloads/test.txt`\n- `bin/laptop-write --from ./localfile /Users/sebas/Downloads/test.txt`\n- `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`\n\n## Batch `pi` helpers\n\nUnattended helpers should avoid implicit model/provider resolution.\n\n- `bin/pi-job-runner` now forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.\n- Override per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.\n- `bin/pi-loop` now defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.\n\nExamples:\n- `bin/pi-loop --count 3 --cwd /tmp/test --prompt \"Touch one file\"`\n- `PI_MODEL=gpt-5.4 bin/pi-job-start --cwd /path/repo --prompt \"Do the task\"`\n\n## /tmp cleanup\n\nTop-level `/tmp` files older than 3 days are cleaned every 3 days.\n\n- `bin/tmp-cleanup [--dry-run]`\n- `scripts/install-tmp-cleanup-cron.sh`\n\n" } ], "isError": false, "timestamp": 1778044761612 } }, { "type": "message", "id": "d3c6dfbd", "parentId": "b6574c30", "timestamp": "2026-05-06T05:19:21.632Z", "message": { "role": "toolResult", "toolCallId": "call_GzbSXWO4jLwYEY4up9Ng5dZj|fc_0ff3a93ad93b26e40169facf596798819790f0ea6a3f30cfb5", "toolName": "read", "content": [ { "type": "text", "text": "# Services Architecture\n\nThis file documents the local service shape on `ballbox-first`, with emphasis on terminal persistence for `pi` and tmux.\n\n## Goal\n\nKeep `pi` usable as an interactive TUI while making tmux only a persistence layer.\n\nDesired properties:\n\n- `pi` runs inside tmux.\n- Closing a terminal client does not kill `pi`.\n- tmux does not become the primary UI.\n- Mouse scroll works for history without moving the `pi` cursor.\n- Color rendering stays correct inside tmux.\n\n## Current tmux model\n\n### tmux config\n\n`~/.tmux.conf` is intentionally persistence-first:\n\n- `mouse on`\n- `history-limit 100000`\n- `set-clipboard on`\n- custom prefix: `C-\\\\`\n- status bar off\n- dangerous interactive defaults unbound\n- copy mode uses vi keys\n- wheel scroll enters/uses copy mode\n- explicit detach/reload bindings only\n\n### Important tmux bindings\n\n- Prefix: `Ctrl-\\\\`\n- Detach: `Ctrl-\\\\` then `D`\n- Reload config: `Ctrl-\\\\` then `r`\n- Scroll/history:\n - wheel up enters copy mode or scrolls within it\n - wheel down scrolls or exits copy mode\n\n### Why tmux stays minimal\n\ntmux is not used for pane/window management here. It is only the durable PTY container for the running `pi` process.\n\nThat means:\n\n- no pane splitting\n- no tab/session UI workflow\n- no mouse-driven tmux navigation\n- no session picker dependency for normal `pi` use\n\n## `pitmux`\n\n`~/.bashrc` defines `pitmux()`.\n\nPurpose:\n\n- start `pi` inside a tmux session\n- keep the session attachable later\n- keep color output correct inside tmux\n\n### Current launch behavior\n\n`pitmux` forces these env values for the `pi` process:\n\n- `TERM=tmux-256color`\n- `COLORTERM=truecolor`\n- `TERM_PROGRAM=`\n\nThis avoids the brown background / palette mismatch that appeared when `pi` ran inside tmux with the host terminal's `TERM_PROGRAM` leaking through.\n\n### Usage\n\n```bash\npitmux\npitmux pi-1\n```\n\nIf no name is passed, `pitmux` creates a timestamped session name like:\n\n```text\npi-20260421-165900\n```\n\n### Launch shape\n\n`pitmux` runs:\n\n```bash\nenv TERM=tmux-256color COLORTERM=truecolor TERM_PROGRAM= tmux new-session -A -s pi\n```\n\n## `pi` resume helper\n\n`~/.bashrc` also defines `piresume()`.\n\nThat wrapper is separate from tmux.\n\nPurpose:\n\n- run `pi` normally\n- after exit, print the latest session id hint\n- help resume with:\n\n```bash\npi --session \n```\n\n## Native detached batch jobs for subagents\n\nFor simple one-prompt subagent runs, prefer detached shell job wrappers instead of extension-based side-agent orchestration.\n\nDesired shape:\n\n- exact existing `cwd` is chosen by caller\n- one initial prompt only\n- `pi` runs non-interactively (`pi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p` by default) in a detached background process\n- output is written to a durable log file\n- parent orchestrator can poll state, tail logs, wait, or stop the process\n- no cron, no background daemon, no extra service layer\n- no tmux dependency for one-shot jobs\n\n### Runtime layout\n\nUse `/mnt/rpi/pi-jobs` as durable runtime storage.\n\nPer job:\n\n```text\n/mnt/rpi/pi-jobs/jobs//\n meta.env\n prompt.txt\n output.log\n status\n pid\n exit_code\n started_at\n finished_at\n```\n\n### Process model\n\n- `pi-job-start` creates the job directory and launches a detached runner with `nohup`.\n- the runner executes `pi -p` in the requested directory with explicit provider/model defaults to avoid accidental fallback to unauthenticated providers.\n- the runner writes status files and appends full stdout/stderr to `output.log`.\n- `pi-job-check` reconciles file status with `pid` liveness and prints recent log lines.\n- `pi-job-wait` is a simple poll loop over status files plus `pid` liveness.\n- `pi-job-stop` sends `TERM`/`KILL` to the recorded `pid` and marks the job as stopped.\n\n### Why this path\n\nThis keeps the batch layer native and inspectable:\n\n- detached process for lifetime\n- shell scripts for control\n- plain files for logs and metadata\n\nUse tmux only for interactive persistent `pi` sessions (`pitmux`, Telegram service), not one-shot batch jobs.\n\nDefault batch overrides:\n- `PI_PROVIDER` defaults to `openai-codex`\n- `PI_MODEL` defaults to `gpt-5.4-mini`\n- `PI_THINKING` defaults to `low`\n\nNo interactive key injection workflow is assumed beyond the initial prompt.\n\n## Dedicated Telegram `pi` service\n\nFor an always-reachable Telegram agent, run one dedicated `pi` instance under a user systemd service and keep tmux as the PTY container.\n\nDesired shape:\n\n- one fixed tmux session: `pi-telegram`\n- one fixed working directory: `/home/sebas`\n- one fixed config dir: `/home/sebas/pi-config`\n- service restarts on boot via user systemd\n- service loop recreates the tmux session if `pi` exits\n- Telegram ownership stays on that one instance; use `/new` there when you want a fresh conversation\n\n### Runtime pieces\n\n- launcher loop: `/home/sebas/pi-config/bin/pi-telegram-service`\n- user service: `~/.config/systemd/user/pi-telegram.service`\n- tmux session name: `pi-telegram`\n\n### Behavior\n\n- first-time setup still needs one manual `/telegram-connect` inside that dedicated `pi` session\n- after that, normal conversation and `/new` stay inside the same long-lived instance\n- after reboot, the service relaunches the same tmux-backed `pi` process from the same `cwd`, which matches the Telegram bridge auto-resume model\n\n## Wi‑Fi tracker service\n\nA lightweight Wi‑Fi/LAN presence tracker now runs on this machine and publishes a small dashboard through nginx.\n\nScope of this service:\n\n- collect device presence visible from this Pi on the local LAN\n- keep an append-only JSONL activity log\n- maintain per-device aliases set from the web UI\n- publish a derived summary for dashboard rendering\n- expose a tiny local API for alias CRUD\n\nNon-goals:\n\n- this is not exact Wi‑Fi association telemetry from the router/AP\n- no packet payload capture\n- no DPI\n- no traffic-content logging\n\n### Current model\n\nThis Pi is not the AP/router controller for the home network.\nSo the tracker uses LAN presence observation:\n\n- network sweep over the local subnet\n- neighbor table (`ip neigh`) snapshot\n- reverse DNS lookup when available\n- router HTML probe for basic vendor/model identification\n\nThis yields:\n\n- IP\n- MAC\n- hostname sometimes\n- first seen / last seen\n- online/offline transitions inferred from snapshots\n\nIt does not yield:\n\n- exact connect/disconnect at Wi‑Fi layer\n- SSID/BSSID\n- RSSI\n- AP roaming details\n\n### Runtime pieces\n\nCollector and derived data:\n\n\n[115 more lines in file. Use offset=241 to continue.]" } ], "isError": false, "timestamp": 1778044761629 } }, { "type": "message", "id": "51c69ee5", "parentId": "d3c6dfbd", "timestamp": "2026-05-06T05:19:21.641Z", "message": { "role": "toolResult", "toolCallId": "call_Fl01ag8V1I3UHg17rNSMbiwT|fc_0ff3a93ad93b26e40169facf59679c81978046c81297615cb1", "toolName": "bash", "content": [ { "type": "text", "text": "docs/agents-database-memory-contract.md\ndocs/wifi-tracker.md\n" } ], "isError": false, "timestamp": 1778044761629 } }, { "type": "message", "id": "fafcbfb3", "parentId": "51c69ee5", "timestamp": "2026-05-06T05:19:40.086Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Updating documentation**\n\nI think I need to add some documentation and update the README, maybe even the architecture section. It feels important to include a comprehensive list of changes or features. I'll want to make sure everything is clear for anyone who reads it later. This way, they can easily understand the updates I’ve made. It’s a good practice to keep everything organized and accessible! Let's get started on that!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169facf5b8a448197aa74baa08d0b9dc2\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s9dtCchM07ec1TtEw5uq6KcUMcwtb-1K-KDAIgJgOadPOyk67iaYo-3iVGktVnIYJWbyJa9ceZUUZjYfWb3K64KQSh1zAvhBf_JD7DUgxZG0gzEhKZ842j9AmA_0DnvhCEhtp-qv-px9X0pdgKqORsUJiIeEG14hg8bswLCA8xPca5SY_HmAqc0nEW4TS9M9yjXeXSjcYeBUSUvkb79jVPrWTbLw1oanOhJhBDnHE7erb5HAvI8hGUrHCSlaLDIyqzn5xt4JMy_XYcF9fFGXYXWBfT-9VtjsiCpfoj4VCQo5B0L50r7W9esSai1-DWqzN9pt6SOV0rn-tzUr3yMaBnzzLfFxplJErI4xzwsPsJojOgocqSx__uXUKte0catiHYOnBFRPwkHjFyq3UOvs7UaQ4dq6yiMCtVTK3IG2zUe5qjG2ncaoeTgmtWKqLo93x1aEVuN4SaoFut6wAspaHXqoT83pN5CGgD99X7w93fbfYVi3eBAujN80rTWm4ydBgkl8AWFjsAyFGC9e_vT9gNq1h2PFgFLMV0qp1ZvtyG9SQ0ShGVHxTFRZMD9KQuqoDGRLWGYORyjgesKR8hO4TMB9UYmdpD1eAKtVKR7RPYEE3__34w9hV_3tMzJkZFzVwiPnrWV1vwC6q_a-BuDpTgzLzzq8OmhtLvuNmY1vf7nMnrqa22EgxoMy-J9d0z6DS_Tj4BZyGRZBBl4pUKi8QH_Lj24QYcdmBjTEzH6ta8f0cdQZVNme1I8np_ldmA57j9nz7_iLnxgNCkMaC1sa_PTp8HqD64Fcc4EdQYX6Jlj2yf2HfS6SFgeQaEZZYwrfxudE11kbon8KcxOvzIUrtJy0-zaKWfK6JX4CFg0mHk87cehhF1eyV1U662yFt3PkDZe0auIb0SWbW5Jowe64py_Tr_JJdbJ3Cyib_wPQVoGHGX4Qqt8cogWJfsZPKvum17S9gd3Po4mvJ89pjXmZ3kJTf9pbAhKsSWfMbdYWuOShrM=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Updating documentation**\\n\\nI think I need to add some documentation and update the README, maybe even the architecture section. It feels important to include a comprehensive list of changes or features. I'll want to make sure everything is clear for anyone who reads it later. This way, they can easily understand the updates I’ve made. It’s a good practice to keep everything organized and accessible! Let's get started on that!\"}]}" }, { "type": "toolCall", "id": "call_P0Z9K7HQ7ldzT0OUF1U1WIf2|fc_0ff3a93ad93b26e40169facf5d8ccc8197b54b16bef886e13a", "name": "write", "arguments": { "path": "/home/sebas/pi-config/docs/pi-loop.md", "content": "# pi-loop\n\n`pi-loop` is the built-in helper for running the same task prompt through multiple sequential `pi` sessions.\n\nUse it when one pass is not enough and you want later runs to reinforce, continue, verify, or refine the work from earlier runs.\n\n## What it does\n\nFor each iteration, `pi-loop`:\n\n- runs `pi` non-interactively in the same working tree\n- prepends loop context with iteration number\n- injects tail output from the previous iteration into the next prompt\n- keeps going for the requested count even if the task looks mostly done\n- writes per-iteration prompts, logs, status, and timestamps to a durable run directory\n\nDefault execution:\n\n```bash\npi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p ...\n```\n\n## When to use it\n\nUse `pi-loop` when you want:\n\n- multiple passes over the same coding task\n- a simple \"keep pushing this forward\" loop\n- cheap reinforcement without manual reprompting\n- sequential refinement in the same repo state\n\nExamples:\n\n- implement feature, then let later passes fix gaps\n- review and tighten docs after initial draft\n- keep testing/refining after main code already landed\n\n## When to use `pi-job-*` instead\n\nUse `pi-job-*` when you want:\n\n- one detached batch run\n- explicit status/check/wait/stop lifecycle\n- orchestration around one prompt, not repeated passes\n- a long-running job you inspect later\n\nShort rule:\n\n- multiple sequential passes on same task -> `pi-loop`\n- one detached inspectable batch run -> `pi-job-*`\n\n## Usage\n\n```bash\nbin/pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n```\n\n```bash\nbin/pi-loop --count 10 --cwd /path/repo --prompt-file ./task.txt\n```\n\n## Safe defaults\n\nDefaults:\n\n- provider: `openai-codex`\n- model: `gpt-5.4-mini`\n- thinking: `low`\n- extensions: off\n\nOverride if needed:\n\n```bash\nbin/pi-loop \\\n --count 3 \\\n --cwd /path/repo \\\n --provider openai-codex \\\n --model gpt-5.4 \\\n --thinking low \\\n --prompt \"Do the task\"\n```\n\n## Output layout\n\nRuns are stored under:\n\n```text\n/mnt/rpi/pi-loop-runs//\n```\n\nPer iteration:\n\n```text\niter-001/\n prompt.txt\n output.log\n status.txt\n started_at.txt\n finished_at.txt\n exit_code.txt\n```\n\nTop-level run files:\n\n```text\nbase-prompt.txt\nrun-meta.txt\n```\n\n## Example workflow\n\n```bash\nbin/pi-loop \\\n --count 3 \\\n --cwd /tmp/test-repo \\\n --prompt \"Create or update one small file and improve it each pass\"\n```\n\nThen inspect:\n\n- repo changes in `--cwd`\n- logs in `/mnt/rpi/pi-loop-runs/...`\n\n## Notes\n\n- No early-stop condition by design.\n- Later iterations use current repo state as source of truth.\n- `--keep-going` continues after failed iterations.\n- For unattended use, prefer explicit provider/model defaults over implicit resolution.\n" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 3495, "output": 841, "cacheRead": 66048, "cacheWrite": 0, "totalTokens": 70384, "cost": { "input": 0.0087375, "output": 0.012615, "cacheRead": 0.016512, "cacheWrite": 0, "total": 0.037864499999999995 } }, "stopReason": "toolUse", "timestamp": 1778044761632, "responseId": "resp_0ff3a93ad93b26e40169facf59f26c8197845e063333ab374e" } }, { "type": "message", "id": "0bcb2aff", "parentId": "fafcbfb3", "timestamp": "2026-05-06T05:19:40.094Z", "message": { "role": "toolResult", "toolCallId": "call_P0Z9K7HQ7ldzT0OUF1U1WIf2|fc_0ff3a93ad93b26e40169facf5d8ccc8197b54b16bef886e13a", "toolName": "write", "content": [ { "type": "text", "text": "Successfully wrote 2734 bytes to /home/sebas/pi-config/docs/pi-loop.md" } ], "isError": false, "timestamp": 1778044780092 } }, { "type": "message", "id": "833a791a", "parentId": "0bcb2aff", "timestamp": "2026-05-06T05:20:00.104Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_fjTDxlQ1upFfYsAh6VP3hV6D|fc_0ff3a93ad93b26e40169facf6ec4f881979d9767d3238fe37d", "name": "edit", "arguments": { "path": "/home/sebas/pi-config/README.md", "edits": [ { "oldText": "## Included\n- `AGENTS.md`\n- `MIGRATION.md`\n- `settings.json`\n- `extensions/subagent/`\n- `extensions/questionnaire.ts`\n- `extensions/session-memory-prompt.ts`\n- `scripts/apply-pi-shutdown-hook-patch.py`\n- `scripts/session-memory-analyzer.py`\n- `scripts/session-memory-dispatcher.py`\n- `scripts/install-session-memory-dispatcher.service`\n- `bin/tmp-cleanup` / `/tmp` cleanup tool\n- `scripts/install-tmp-cleanup-cron.sh` cron installer for /tmp cleanup\n- `bin/laptop-*` remote laptop helper scripts\n- `bin/laptop-write` atomic remote file writer for laptop files\n", "newText": "## Included\n- `AGENTS.md`\n- `MIGRATION.md`\n- `settings.json`\n- `extensions/subagent/`\n- `extensions/questionnaire.ts`\n- `extensions/session-memory-prompt.ts`\n- `scripts/apply-pi-shutdown-hook-patch.py`\n- `scripts/session-memory-analyzer.py`\n- `scripts/session-memory-dispatcher.py`\n- `scripts/install-session-memory-dispatcher.service`\n- `bin/pi-loop` repeated multi-session task runner\n- `docs/pi-loop.md` usage guide for repeated multi-session loops\n- `bin/tmp-cleanup` / `/tmp` cleanup tool\n- `scripts/install-tmp-cleanup-cron.sh` cron installer for /tmp cleanup\n- `bin/laptop-*` remote laptop helper scripts\n- `bin/laptop-write` atomic remote file writer for laptop files\n" }, { "oldText": "## Batch `pi` helpers\n\nUnattended helpers should avoid implicit model/provider resolution.\n\n- `bin/pi-job-runner` now forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.\n- Override per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.\n- `bin/pi-loop` now defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.\n\nExamples:\n- `bin/pi-loop --count 3 --cwd /tmp/test --prompt \"Touch one file\"`\n- `PI_MODEL=gpt-5.4 bin/pi-job-start --cwd /path/repo --prompt \"Do the task\"`\n", "newText": "## Batch `pi` helpers\n\nTwo first-class helpers:\n\n- `bin/pi-loop`: run the same task through multiple sequential `pi` sessions so later passes can reinforce and refine earlier work.\n- `bin/pi-job-*`: run one detached inspectable batch job with status/check/wait/stop flow.\n\nDecision rule:\n\n- multiple passes on the same prompt -> `pi-loop`\n- one detached batch run -> `pi-job-*`\n\nUnattended helpers should avoid implicit model/provider resolution.\n\n- `bin/pi-loop` defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.\n- `bin/pi-job-runner` forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.\n- `pi-job-*` overrides per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.\n\nStart here:\n- `docs/pi-loop.md`\n\nExamples:\n- `bin/pi-loop --count 3 --cwd /tmp/test --prompt \"Touch one file\"`\n- `PI_MODEL=gpt-5.4 bin/pi-job-start --cwd /path/repo --prompt \"Do the task\"`\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1291, "output": 846, "cacheRead": 69120, "cacheWrite": 0, "totalTokens": 71257, "cost": { "input": 0.0032275000000000003, "output": 0.01269, "cacheRead": 0.01728, "cacheWrite": 0, "total": 0.033197500000000005 } }, "stopReason": "toolUse", "timestamp": 1778044780096, "responseId": "resp_0ff3a93ad93b26e40169facf6ce3688197b3cc33ace0202365" } }, { "type": "message", "id": "060033cb", "parentId": "833a791a", "timestamp": "2026-05-06T05:20:00.118Z", "message": { "role": "toolResult", "toolCallId": "call_fjTDxlQ1upFfYsAh6VP3hV6D|fc_0ff3a93ad93b26e40169facf6ec4f881979d9767d3238fe37d", "toolName": "edit", "content": [ { "type": "text", "text": "Successfully replaced 2 block(s) in /home/sebas/pi-config/README.md." } ], "details": { "diff": " ...\n 12 - `scripts/apply-pi-shutdown-hook-patch.py`\n 13 - `scripts/session-memory-analyzer.py`\n 14 - `scripts/session-memory-dispatcher.py`\n 15 - `scripts/install-session-memory-dispatcher.service`\n+ 16 - `bin/pi-loop` repeated multi-session task runner\n+ 17 - `docs/pi-loop.md` usage guide for repeated multi-session loops\n 16 - `bin/tmp-cleanup` / `/tmp` cleanup tool\n 17 - `scripts/install-tmp-cleanup-cron.sh` cron installer for /tmp cleanup\n 18 - `bin/laptop-*` remote laptop helper scripts\n 19 - `bin/laptop-write` atomic remote file writer for laptop files\n ...\n 67 - `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`\n 68 \n 69 ## Batch `pi` helpers\n 70 \n+ 73 Two first-class helpers:\n+ 74 \n+ 75 - `bin/pi-loop`: run the same task through multiple sequential `pi` sessions so later passes can reinforce and refine earlier work.\n+ 76 - `bin/pi-job-*`: run one detached inspectable batch job with status/check/wait/stop flow.\n+ 77 \n+ 78 Decision rule:\n+ 79 \n+ 80 - multiple passes on the same prompt -> `pi-loop`\n+ 81 - one detached batch run -> `pi-job-*`\n+ 82 \n 71 Unattended helpers should avoid implicit model/provider resolution.\n 72 \n- 73 - `bin/pi-job-runner` now forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.\n- 74 - Override per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.\n- 75 - `bin/pi-loop` now defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.\n+ 85 - `bin/pi-loop` defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.\n+ 86 - `bin/pi-job-runner` forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.\n+ 87 - `pi-job-*` overrides per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.\n 76 \n+ 89 Start here:\n+ 90 - `docs/pi-loop.md`\n+ 91 \n 77 Examples:\n 78 - `bin/pi-loop --count 3 --cwd /tmp/test --prompt \"Touch one file\"`\n 79 - `PI_MODEL=gpt-5.4 bin/pi-job-start --cwd /path/repo --prompt \"Do the task\"`\n 80 \n ...", "firstChangedLine": 16 }, "isError": false, "timestamp": 1778044800117 } }, { "type": "message", "id": "d5d3ce2c", "parentId": "060033cb", "timestamp": "2026-05-06T05:20:13.145Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_Dynj6HN5VRE64dAxXWSlo8Oy|fc_0ff3a93ad93b26e40169facf822f9c8197bd2af751dc9ae13c", "name": "edit", "arguments": { "path": "/home/sebas/pi-config/SERVICES-ARCHITECTURE.md", "edits": [ { "oldText": "## Native detached batch jobs for subagents\n\nFor simple one-prompt subagent runs, prefer detached shell job wrappers instead of extension-based side-agent orchestration.\n", "newText": "## Native detached batch jobs and loops for subagents\n\nFor simple non-interactive `pi` automation, use native shell helpers instead of extension-based side-agent orchestration.\n\nTool split:\n\n- `pi-loop`: multiple sequential passes over the same task prompt in the same working tree\n- `pi-job-*`: one detached inspectable batch run with explicit lifecycle commands\n\nChoose `pi-loop` when you want later sessions to reinforce or refine earlier work.\nChoose `pi-job-*` when you want one background run with explicit `check`, `wait`, and `stop` controls.\n" }, { "oldText": "Desired shape:\n\n- exact existing `cwd` is chosen by caller\n- one initial prompt only\n- `pi` runs non-interactively (`pi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p` by default) in a detached background process\n- output is written to a durable log file\n- parent orchestrator can poll state, tail logs, wait, or stop the process\n- no cron, no background daemon, no extra service layer\n- no tmux dependency for one-shot jobs\n", "newText": "Shared shape:\n\n- exact existing `cwd` is chosen by caller\n- non-interactive `pi` execution with explicit provider/model defaults\n- durable logs and artifacts on disk\n- no cron, no background daemon, no extra service layer\n\n### `pi-loop`\n\nUse `pi-loop` for repeated passes on one task.\n\nBehavior:\n\n- caller sets iteration count and base prompt\n- each iteration prepends loop context including current iteration number\n- each iteration can include tail output from the previous iteration\n- each iteration runs in the same working tree so repo state carries forward\n- run artifacts are stored under `/mnt/rpi/pi-loop-runs//`\n\nSee: `docs/pi-loop.md`\n\n### `pi-job-*`\n\nUse `pi-job-*` for one detached inspectable batch run.\n\nDesired shape:\n\n- one initial prompt only\n- `pi` runs non-interactively (`pi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p` by default) in a detached background process\n- output is written to a durable log file\n- parent orchestrator can poll state, tail logs, wait, or stop the process\n- no tmux dependency for one-shot jobs\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1141, "output": 601, "cacheRead": 70144, "cacheWrite": 0, "totalTokens": 71886, "cost": { "input": 0.0028525000000000004, "output": 0.009015, "cacheRead": 0.017536, "cacheWrite": 0, "total": 0.0294035 } }, "stopReason": "toolUse", "timestamp": 1778044800120, "responseId": "resp_0ff3a93ad93b26e40169facf80efd88197ab9491406cd5e29f" } }, { "type": "message", "id": "62c446b7", "parentId": "d5d3ce2c", "timestamp": "2026-05-06T05:20:13.165Z", "message": { "role": "toolResult", "toolCallId": "call_Dynj6HN5VRE64dAxXWSlo8Oy|fc_0ff3a93ad93b26e40169facf822f9c8197bd2af751dc9ae13c", "toolName": "edit", "content": [ { "type": "text", "text": "Successfully replaced 2 block(s) in /home/sebas/pi-config/SERVICES-ARCHITECTURE.md." } ], "details": { "diff": " ...\n 106 ```bash\n 107 pi --session \n 108 ```\n 109 \n-110 ## Native detached batch jobs for subagents\n+110 ## Native detached batch jobs and loops for subagents\n 111 \n-112 For simple one-prompt subagent runs, prefer detached shell job wrappers instead of extension-based side-agent orchestration.\n+112 For simple non-interactive `pi` automation, use native shell helpers instead of extension-based side-agent orchestration.\n 113 \n-114 Desired shape:\n+114 Tool split:\n 115 \n+116 - `pi-loop`: multiple sequential passes over the same task prompt in the same working tree\n+117 - `pi-job-*`: one detached inspectable batch run with explicit lifecycle commands\n+118 \n+119 Choose `pi-loop` when you want later sessions to reinforce or refine earlier work.\n+120 Choose `pi-job-*` when you want one background run with explicit `check`, `wait`, and `stop` controls.\n+121 \n+122 Shared shape:\n+123 \n 116 - exact existing `cwd` is chosen by caller\n+125 - non-interactive `pi` execution with explicit provider/model defaults\n+126 - durable logs and artifacts on disk\n+127 - no cron, no background daemon, no extra service layer\n+128 \n+129 ### `pi-loop`\n+130 \n+131 Use `pi-loop` for repeated passes on one task.\n+132 \n+133 Behavior:\n+134 \n+135 - caller sets iteration count and base prompt\n+136 - each iteration prepends loop context including current iteration number\n+137 - each iteration can include tail output from the previous iteration\n+138 - each iteration runs in the same working tree so repo state carries forward\n+139 - run artifacts are stored under `/mnt/rpi/pi-loop-runs//`\n+140 \n+141 See: `docs/pi-loop.md`\n+142 \n+143 ### `pi-job-*`\n+144 \n+145 Use `pi-job-*` for one detached inspectable batch run.\n+146 \n+147 Desired shape:\n+148 \n 117 - one initial prompt only\n 118 - `pi` runs non-interactively (`pi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p` by default) in a detached background process\n 119 - output is written to a durable log file\n 120 - parent orchestrator can poll state, tail logs, wait, or stop the process\n-121 - no cron, no background daemon, no extra service layer\n 122 - no tmux dependency for one-shot jobs\n 123 \n 124 ### Runtime layout\n 125 \n ...", "firstChangedLine": 110 }, "isError": false, "timestamp": 1778044813164 } }, { "type": "message", "id": "fd6350e6", "parentId": "62c446b7", "timestamp": "2026-05-06T05:20:17.832Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_ywWDBXcnLifZqGuby5unnKMo|fc_0ff3a93ad93b26e40169facf91ab0881979990c95405901c62", "name": "bash", "arguments": { "command": "cd /home/sebas/pi-config && sed -n '1,220p' README.md && printf '\\n===== DOC =====\\n' && sed -n '1,260p' docs/pi-loop.md && printf '\\n===== ARCH =====\\n' && sed -n '70,180p' SERVICES-ARCHITECTURE.md", "timeout": 120 } }, { "type": "toolCall", "id": "call_Nvy60WfF8DXY4hWllJXKwHju|fc_0ff3a93ad93b26e40169facf91ab1881979dff0860a03bafef", "name": "bash", "arguments": { "command": "cd /home/sebas/pi-config && git diff -- README.md SERVICES-ARCHITECTURE.md docs/pi-loop.md | sed -n '1,260p'", "timeout": 120 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 752, "output": 158, "cacheRead": 71168, "cacheWrite": 0, "totalTokens": 72078, "cost": { "input": 0.0018800000000000002, "output": 0.00237, "cacheRead": 0.017792, "cacheWrite": 0, "total": 0.022042 } }, "stopReason": "toolUse", "timestamp": 1778044813166, "responseId": "resp_0ff3a93ad93b26e40169facf8dc7608197b87cb84175717bb7" } }, { "type": "message", "id": "18565145", "parentId": "fd6350e6", "timestamp": "2026-05-06T05:20:17.854Z", "message": { "role": "toolResult", "toolCallId": "call_ywWDBXcnLifZqGuby5unnKMo|fc_0ff3a93ad93b26e40169facf91ab0881979990c95405901c62", "toolName": "bash", "content": [ { "type": "text", "text": "# pi-config\n\nPersonal Pi configuration for **sebasfavaron**.\n\n## Included\n- `AGENTS.md`\n- `MIGRATION.md`\n- `settings.json`\n- `extensions/subagent/`\n- `extensions/questionnaire.ts`\n- `extensions/session-memory-prompt.ts`\n- `scripts/apply-pi-shutdown-hook-patch.py`\n- `scripts/session-memory-analyzer.py`\n- `scripts/session-memory-dispatcher.py`\n- `scripts/install-session-memory-dispatcher.service`\n- `bin/pi-loop` repeated multi-session task runner\n- `docs/pi-loop.md` usage guide for repeated multi-session loops\n- `bin/tmp-cleanup` / `/tmp` cleanup tool\n- `scripts/install-tmp-cleanup-cron.sh` cron installer for /tmp cleanup\n- `bin/laptop-*` remote laptop helper scripts\n- `bin/laptop-write` atomic remote file writer for laptop files\n\n## Goal\n\nMake this repo both the source of truth **and the live Pi config directory**.\n\n## Notes\n\n- Direct, compressed, low-noise communication is the default style.\n- Session close hook now prompts once before switch/fork/exit to encourage saving durable memory into agents-database.\n- Session memory now uses an external local dispatcher on `127.0.0.1:17882`; the hook only captures session identity/context, the dispatcher enqueues metadata, and a background analyzer decides whether anything durable is worth saving.\n- The canonical memory pipeline lives in `agents-database` (`MemoryService` / `MemoryEngine`). Repo-local helpers should only capture session context and hand off to that service.\n- The analyzer uses `pi` in background with a cheap model (`gpt-5.4-mini`) and thinking off when possible.\n- For unattended `pi` scripts and jobs, prefer explicit provider/model selection. Current safe default on this machine: `--provider openai-codex --model gpt-5.4-mini`.\n- Use `./scripts/install-session-memory-dispatcher.service` to keep the dispatcher alive under systemd user service if desired.\n- The old `session_before_shutdown` runtime patch remains as fallback only if you choose to keep it enabled.\n- Reapply the runtime patch after Pi upgrades only if you still use that fallback: `./scripts/apply-pi-shutdown-hook-patch.py`\n- **Pending validation:** confirm the default communication mode auto-loads in every new Pi session.\n- Top-level `/tmp` files older than 3 days are cleaned every 3 days via `bin/tmp-cleanup`.\n- Install the cleanup cron with `scripts/install-tmp-cleanup-cron.sh`.\n- Remote laptop workflow can be driven from this Pi using `bin/laptop-run`, `bin/laptop-read`, `bin/laptop-write`, `bin/laptop-rsync`, `bin/laptop-mount`, and `bin/laptop-umount` against host `sebastians-macbook-pro-2`.\n\n## Local server routes on `ballbox-first`\n\nCurrent nginx portal on `:80` exposes:\n- `/` → portal home from `/var/www/portal`\n- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count\n- `/portal/` → proxied app on `127.0.0.1:18789`\n- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`\n- `/files/` → copyparty file server on `127.0.0.1:3923`\n- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`\n\nImplementation note for `/mp3-share/`:\n- nginx route lives in `/etc/nginx/sites-available/kiosk`\n- portal home link lives in `/var/www/portal/index.html`\n- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree\n\n## Remote laptop helpers\n\nDefault host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.\n\nExamples:\n- `bin/laptop-run 'uname -a'`\n- `bin/laptop-read /Users/sebas/.zshrc | sed -n '1,40p'`\n- `bin/laptop-rsync sebastians-macbook-pro-2:/Users/sebas/Downloads/file ./`\n- `bin/laptop-rsync ./localfile sebastians-macbook-pro-2:/Users/sebas/Downloads/`\n- `printf 'new contents\\n' | bin/laptop-write /Users/sebas/Downloads/test.txt`\n- `bin/laptop-write --from ./localfile /Users/sebas/Downloads/test.txt`\n- `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`\n\n## Batch `pi` helpers\n\nTwo first-class helpers:\n\n- `bin/pi-loop`: run the same task through multiple sequential `pi` sessions so later passes can reinforce and refine earlier work.\n- `bin/pi-job-*`: run one detached inspectable batch job with status/check/wait/stop flow.\n\nDecision rule:\n\n- multiple passes on the same prompt -> `pi-loop`\n- one detached batch run -> `pi-job-*`\n\nUnattended helpers should avoid implicit model/provider resolution.\n\n- `bin/pi-loop` defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.\n- `bin/pi-job-runner` forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.\n- `pi-job-*` overrides per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.\n\nStart here:\n- `docs/pi-loop.md`\n\nExamples:\n- `bin/pi-loop --count 3 --cwd /tmp/test --prompt \"Touch one file\"`\n- `PI_MODEL=gpt-5.4 bin/pi-job-start --cwd /path/repo --prompt \"Do the task\"`\n\n## /tmp cleanup\n\nTop-level `/tmp` files older than 3 days are cleaned every 3 days.\n\n- `bin/tmp-cleanup [--dry-run]`\n- `scripts/install-tmp-cleanup-cron.sh`\n\n\n===== DOC =====\n# pi-loop\n\n`pi-loop` is the built-in helper for running the same task prompt through multiple sequential `pi` sessions.\n\nUse it when one pass is not enough and you want later runs to reinforce, continue, verify, or refine the work from earlier runs.\n\n## What it does\n\nFor each iteration, `pi-loop`:\n\n- runs `pi` non-interactively in the same working tree\n- prepends loop context with iteration number\n- injects tail output from the previous iteration into the next prompt\n- keeps going for the requested count even if the task looks mostly done\n- writes per-iteration prompts, logs, status, and timestamps to a durable run directory\n\nDefault execution:\n\n```bash\npi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p ...\n```\n\n## When to use it\n\nUse `pi-loop` when you want:\n\n- multiple passes over the same coding task\n- a simple \"keep pushing this forward\" loop\n- cheap reinforcement without manual reprompting\n- sequential refinement in the same repo state\n\nExamples:\n\n- implement feature, then let later passes fix gaps\n- review and tighten docs after initial draft\n- keep testing/refining after main code already landed\n\n## When to use `pi-job-*` instead\n\nUse `pi-job-*` when you want:\n\n- one detached batch run\n- explicit status/check/wait/stop lifecycle\n- orchestration around one prompt, not repeated passes\n- a long-running job you inspect later\n\nShort rule:\n\n- multiple sequential passes on same task -> `pi-loop`\n- one detached inspectable batch run -> `pi-job-*`\n\n## Usage\n\n```bash\nbin/pi-loop --count 5 --cwd /path/repo --prompt \"Implement feature X\"\n```\n\n```bash\nbin/pi-loop --count 10 --cwd /path/repo --prompt-file ./task.txt\n```\n\n## Safe defaults\n\nDefaults:\n\n- provider: `openai-codex`\n- model: `gpt-5.4-mini`\n- thinking: `low`\n- extensions: off\n\nOverride if needed:\n\n```bash\nbin/pi-loop \\\n --count 3 \\\n --cwd /path/repo \\\n --provider openai-codex \\\n --model gpt-5.4 \\\n --thinking low \\\n --prompt \"Do the task\"\n```\n\n## Output layout\n\nRuns are stored under:\n\n```text\n/mnt/rpi/pi-loop-runs//\n```\n\nPer iteration:\n\n```text\niter-001/\n prompt.txt\n output.log\n status.txt\n started_at.txt\n finished_at.txt\n exit_code.txt\n```\n\nTop-level run files:\n\n```text\nbase-prompt.txt\nrun-meta.txt\n```\n\n## Example workflow\n\n```bash\nbin/pi-loop \\\n --count 3 \\\n --cwd /tmp/test-repo \\\n --prompt \"Create or update one small file and improve it each pass\"\n```\n\nThen inspect:\n\n- repo changes in `--cwd`\n- logs in `/mnt/rpi/pi-loop-runs/...`\n\n## Notes\n\n- No early-stop condition by design.\n- Later iterations use current repo state as source of truth.\n- `--keep-going` continues after failed iterations.\n- For unattended use, prefer explicit provider/model defaults over implicit resolution.\n\n===== ARCH =====\n\nThis avoids the brown background / palette mismatch that appeared when `pi` ran inside tmux with the host terminal's `TERM_PROGRAM` leaking through.\n\n### Usage\n\n```bash\npitmux\npitmux pi-1\n```\n\nIf no name is passed, `pitmux` creates a timestamped session name like:\n\n```text\npi-20260421-165900\n```\n\n### Launch shape\n\n`pitmux` runs:\n\n```bash\nenv TERM=tmux-256color COLORTERM=truecolor TERM_PROGRAM= tmux new-session -A -s pi\n```\n\n## `pi` resume helper\n\n`~/.bashrc` also defines `piresume()`.\n\nThat wrapper is separate from tmux.\n\nPurpose:\n\n- run `pi` normally\n- after exit, print the latest session id hint\n- help resume with:\n\n```bash\npi --session \n```\n\n## Native detached batch jobs and loops for subagents\n\nFor simple non-interactive `pi` automation, use native shell helpers instead of extension-based side-agent orchestration.\n\nTool split:\n\n- `pi-loop`: multiple sequential passes over the same task prompt in the same working tree\n- `pi-job-*`: one detached inspectable batch run with explicit lifecycle commands\n\nChoose `pi-loop` when you want later sessions to reinforce or refine earlier work.\nChoose `pi-job-*` when you want one background run with explicit `check`, `wait`, and `stop` controls.\n\nShared shape:\n\n- exact existing `cwd` is chosen by caller\n- non-interactive `pi` execution with explicit provider/model defaults\n- durable logs and artifacts on disk\n- no cron, no background daemon, no extra service layer\n\n### `pi-loop`\n\nUse `pi-loop` for repeated passes on one task.\n\nBehavior:\n\n- caller sets iteration count and base prompt\n- each iteration prepends loop context including current iteration number\n- each iteration can include tail output from the previous iteration\n- each iteration runs in the same working tree so repo state carries forward\n- run artifacts are stored under `/mnt/rpi/pi-loop-runs//`\n\nSee: `docs/pi-loop.md`\n\n### `pi-job-*`\n\nUse `pi-job-*` for one detached inspectable batch run.\n\nDesired shape:\n\n- one initial prompt only\n- `pi` runs non-interactively (`pi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p` by default) in a detached background process\n- output is written to a durable log file\n- parent orchestrator can poll state, tail logs, wait, or stop the process\n- no tmux dependency for one-shot jobs\n\n### Runtime layout\n\nUse `/mnt/rpi/pi-jobs` as durable runtime storage.\n\nPer job:\n\n```text\n/mnt/rpi/pi-jobs/jobs//\n meta.env\n prompt.txt\n output.log\n status\n pid\n exit_code\n started_at\n finished_at\n```\n\n### Process model\n\n- `pi-job-start` creates the job directory and launches a detached runner with `nohup`.\n- the runner executes `pi -p` in the requested directory with explicit provider/model defaults to avoid accidental fallback to unauthenticated providers.\n- the runner writes status files and appends full stdout/stderr to `output.log`.\n- `pi-job-check` reconciles file status with `pid` liveness and prints recent log lines.\n- `pi-job-wait` is a simple poll loop over status files plus `pid` liveness.\n- `pi-job-stop` sends `TERM`/`KILL` to the recorded `pid` and marks the job as stopped.\n" } ], "isError": false, "timestamp": 1778044817853 } }, { "type": "message", "id": "f7c85d6d", "parentId": "18565145", "timestamp": "2026-05-06T05:20:17.856Z", "message": { "role": "toolResult", "toolCallId": "call_Nvy60WfF8DXY4hWllJXKwHju|fc_0ff3a93ad93b26e40169facf91ab1881979dff0860a03bafef", "toolName": "bash", "content": [ { "type": "text", "text": "diff --git a/README.md b/README.md\nindex 89a9445..0138452 100644\n--- a/README.md\n+++ b/README.md\n@@ -13,6 +13,8 @@ Personal Pi configuration for **sebasfavaron**.\n - `scripts/session-memory-analyzer.py`\n - `scripts/session-memory-dispatcher.py`\n - `scripts/install-session-memory-dispatcher.service`\n+- `bin/pi-loop` repeated multi-session task runner\n+- `docs/pi-loop.md` usage guide for repeated multi-session loops\n - `bin/tmp-cleanup` / `/tmp` cleanup tool\n - `scripts/install-tmp-cleanup-cron.sh` cron installer for /tmp cleanup\n - `bin/laptop-*` remote laptop helper scripts\n@@ -29,6 +31,7 @@ Make this repo both the source of truth **and the live Pi config directory**.\n - Session memory now uses an external local dispatcher on `127.0.0.1:17882`; the hook only captures session identity/context, the dispatcher enqueues metadata, and a background analyzer decides whether anything durable is worth saving.\n - The canonical memory pipeline lives in `agents-database` (`MemoryService` / `MemoryEngine`). Repo-local helpers should only capture session context and hand off to that service.\n - The analyzer uses `pi` in background with a cheap model (`gpt-5.4-mini`) and thinking off when possible.\n+- For unattended `pi` scripts and jobs, prefer explicit provider/model selection. Current safe default on this machine: `--provider openai-codex --model gpt-5.4-mini`.\n - Use `./scripts/install-session-memory-dispatcher.service` to keep the dispatcher alive under systemd user service if desired.\n - The old `session_before_shutdown` runtime patch remains as fallback only if you choose to keep it enabled.\n - Reapply the runtime patch after Pi upgrades only if you still use that fallback: `./scripts/apply-pi-shutdown-hook-patch.py`\n@@ -41,6 +44,7 @@ Make this repo both the source of truth **and the live Pi config directory**.\n \n Current nginx portal on `:80` exposes:\n - `/` → portal home from `/var/www/portal`\n+- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count\n - `/portal/` → proxied app on `127.0.0.1:18789`\n - `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`\n - `/files/` → copyparty file server on `127.0.0.1:3923`\n@@ -64,6 +68,31 @@ Examples:\n - `bin/laptop-write --from ./localfile /Users/sebas/Downloads/test.txt`\n - `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`\n \n+## Batch `pi` helpers\n+\n+Two first-class helpers:\n+\n+- `bin/pi-loop`: run the same task through multiple sequential `pi` sessions so later passes can reinforce and refine earlier work.\n+- `bin/pi-job-*`: run one detached inspectable batch job with status/check/wait/stop flow.\n+\n+Decision rule:\n+\n+- multiple passes on the same prompt -> `pi-loop`\n+- one detached batch run -> `pi-job-*`\n+\n+Unattended helpers should avoid implicit model/provider resolution.\n+\n+- `bin/pi-loop` defaults to `--provider openai-codex --model gpt-5.4-mini --thinking low` and still lets you override via flags.\n+- `bin/pi-job-runner` forces `--provider openai-codex --model gpt-5.4-mini --thinking low` by default.\n+- `pi-job-*` overrides per process with env vars: `PI_PROVIDER`, `PI_MODEL`, `PI_THINKING`.\n+\n+Start here:\n+- `docs/pi-loop.md`\n+\n+Examples:\n+- `bin/pi-loop --count 3 --cwd /tmp/test --prompt \"Touch one file\"`\n+- `PI_MODEL=gpt-5.4 bin/pi-job-start --cwd /path/repo --prompt \"Do the task\"`\n+\n ## /tmp cleanup\n \n Top-level `/tmp` files older than 3 days are cleaned every 3 days.\ndiff --git a/SERVICES-ARCHITECTURE.md b/SERVICES-ARCHITECTURE.md\nindex de24278..69882c0 100644\n--- a/SERVICES-ARCHITECTURE.md\n+++ b/SERVICES-ARCHITECTURE.md\n@@ -107,6 +107,245 @@ Purpose:\n pi --session \n ```\n \n+## Native detached batch jobs and loops for subagents\n+\n+For simple non-interactive `pi` automation, use native shell helpers instead of extension-based side-agent orchestration.\n+\n+Tool split:\n+\n+- `pi-loop`: multiple sequential passes over the same task prompt in the same working tree\n+- `pi-job-*`: one detached inspectable batch run with explicit lifecycle commands\n+\n+Choose `pi-loop` when you want later sessions to reinforce or refine earlier work.\n+Choose `pi-job-*` when you want one background run with explicit `check`, `wait`, and `stop` controls.\n+\n+Shared shape:\n+\n+- exact existing `cwd` is chosen by caller\n+- non-interactive `pi` execution with explicit provider/model defaults\n+- durable logs and artifacts on disk\n+- no cron, no background daemon, no extra service layer\n+\n+### `pi-loop`\n+\n+Use `pi-loop` for repeated passes on one task.\n+\n+Behavior:\n+\n+- caller sets iteration count and base prompt\n+- each iteration prepends loop context including current iteration number\n+- each iteration can include tail output from the previous iteration\n+- each iteration runs in the same working tree so repo state carries forward\n+- run artifacts are stored under `/mnt/rpi/pi-loop-runs//`\n+\n+See: `docs/pi-loop.md`\n+\n+### `pi-job-*`\n+\n+Use `pi-job-*` for one detached inspectable batch run.\n+\n+Desired shape:\n+\n+- one initial prompt only\n+- `pi` runs non-interactively (`pi --provider openai-codex --model gpt-5.4-mini --thinking low --no-extensions -p` by default) in a detached background process\n+- output is written to a durable log file\n+- parent orchestrator can poll state, tail logs, wait, or stop the process\n+- no tmux dependency for one-shot jobs\n+\n+### Runtime layout\n+\n+Use `/mnt/rpi/pi-jobs` as durable runtime storage.\n+\n+Per job:\n+\n+```text\n+/mnt/rpi/pi-jobs/jobs//\n+ meta.env\n+ prompt.txt\n+ output.log\n+ status\n+ pid\n+ exit_code\n+ started_at\n+ finished_at\n+```\n+\n+### Process model\n+\n+- `pi-job-start` creates the job directory and launches a detached runner with `nohup`.\n+- the runner executes `pi -p` in the requested directory with explicit provider/model defaults to avoid accidental fallback to unauthenticated providers.\n+- the runner writes status files and appends full stdout/stderr to `output.log`.\n+- `pi-job-check` reconciles file status with `pid` liveness and prints recent log lines.\n+- `pi-job-wait` is a simple poll loop over status files plus `pid` liveness.\n+- `pi-job-stop` sends `TERM`/`KILL` to the recorded `pid` and marks the job as stopped.\n+\n+### Why this path\n+\n+This keeps the batch layer native and inspectable:\n+\n+- detached process for lifetime\n+- shell scripts for control\n+- plain files for logs and metadata\n+\n+Use tmux only for interactive persistent `pi` sessions (`pitmux`, Telegram service), not one-shot batch jobs.\n+\n+Default batch overrides:\n+- `PI_PROVIDER` defaults to `openai-codex`\n+- `PI_MODEL` defaults to `gpt-5.4-mini`\n+- `PI_THINKING` defaults to `low`\n+\n+No interactive key injection workflow is assumed beyond the initial prompt.\n+\n+## Dedicated Telegram `pi` service\n+\n+For an always-reachable Telegram agent, run one dedicated `pi` instance under a user systemd service and keep tmux as the PTY container.\n+\n+Desired shape:\n+\n+- one fixed tmux session: `pi-telegram`\n+- one fixed working directory: `/home/sebas`\n+- one fixed config dir: `/home/sebas/pi-config`\n+- service restarts on boot via user systemd\n+- service loop recreates the tmux session if `pi` exits\n+- Telegram ownership stays on that one instance; use `/new` there when you want a fresh conversation\n+\n+### Runtime pieces\n+\n+- launcher loop: `/home/sebas/pi-config/bin/pi-telegram-service`\n+- user service: `~/.config/systemd/user/pi-telegram.service`\n+- tmux session name: `pi-telegram`\n+\n+### Behavior\n+\n+- first-time setup still needs one manual `/telegram-connect` inside that dedicated `pi` session\n+- after that, normal conversation and `/new` stay inside the same long-lived instance\n+- after reboot, the service relaunches the same tmux-backed `pi` process from the same `cwd`, which matches the Telegram bridge auto-resume model\n+\n+## Wi‑Fi tracker service\n+\n+A lightweight Wi‑Fi/LAN presence tracker now runs on this machine and publishes a small dashboard through nginx.\n+\n+Scope of this service:\n+\n+- collect device presence visible from this Pi on the local LAN\n+- keep an append-only JSONL activity log\n+- maintain per-device aliases set from the web UI\n+- publish a derived summary for dashboard rendering\n+- expose a tiny local API for alias CRUD\n+\n+Non-goals:\n+\n+- this is not exact Wi‑Fi association telemetry from the router/AP\n+- no packet payload capture\n+- no DPI\n+- no traffic-content logging\n+\n+### Current model\n+\n+This Pi is not the AP/router controller for the home network.\n+So the tracker uses LAN presence observation:\n+\n+- network sweep over the local subnet\n+- neighbor table (`ip neigh`) snapshot\n+- reverse DNS lookup when available\n+- router HTML probe for basic vendor/model identification\n+\n+This yields:\n+\n+- IP\n+- MAC\n+- hostname sometimes\n+- first seen / last seen\n+- online/offline transitions inferred from snapshots\n+\n+It does not yield:\n+\n+- exact connect/disconnect at Wi‑Fi layer\n+- SSID/BSSID\n+- RSSI\n+- AP roaming details\n+\n+### Runtime pieces\n+\n+Collector and derived data:\n+\n+- script: `/home/sebas/pi-config/bin/wifi-presence-log`\n+- raw log: `/mnt/rpi/agent-logs/wifi-presence/activity.jsonl`\n+- state: `/mnt/rpi/agent-logs/wifi-presence/state.json`\n+- aliases: `/mnt/rpi/agent-logs/wifi-presence/aliases.json`\n+- fingerprints/evidence: `/mnt/rpi/agent-logs/wifi-presence/fingerprints.json`\n+- alert prefs: `/mnt/rpi/agent-logs/wifi-presence/alert-prefs.json`\n+- dashboard summary: `/var/www/wifi-tracker/summary.json`\n+- service note: `/home/sebas/pi-config/docs/wifi-tracker.md`\n+\n+Scheduling:\n+\n+- service: `~/.config/systemd/user/wifi-presence-log.service`\n+- timer: `~/.config/systemd/user/wifi-presence-log.timer`\n+- cadence: every 2 minutes\n+\n+Dashboard/API:\n+\n+- static UI: `/var/www/wifi-tracker/index.html`\n+- API server: `/home/sebas/pi-config/bin/wifi-tracker-api.py`\n+- API service: `~/.config/systemd/user/wifi-tracker-api.service`\n+- health endpoint: `/wifi-tracker/api/health`\n+- alert prefs endpoint: `/wifi-tracker/api/alert-prefs`\n+- nginx route: `/wifi-tracker/`\n+- nginx API route: `/wifi-tracker/api/`\n+- portal link added on `/`\n+\n+### Data flow\n+\n+1. `wifi-presence-log.timer` triggers the collector.\n" } ], "isError": false, "timestamp": 1778044817854 } }, { "type": "message", "id": "33b63e34", "parentId": "f7c85d6d", "timestamp": "2026-05-06T05:20:25.078Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Checking for duplicates**\n\nI noticed a huge duplication due to the file possibly containing the same sections. I need to check for duplication, as my edits may have inserted content before existing sections. It seems like there's a possibility that my architecture is duplicated too, considering the preview shows repeated sections later in the document. I'll inspect that area further, possibly using grep to look for headings to clarify where the duplicates are occurring.", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169facf96090481979f87d6a3814c6d9a\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s-Y13SZF13HB0wMKWzXpnZgbaxv42y8BwM4_8tFATjt2yJzVTswGpIZ1DL-4yt4wR7pQHNSHIfwcdFU_iuK_VtevaJsHe9A0RozJQAryjs8dcNJ0qlEN7EDTvv8tZ6ANIgVWc0ri1KkMIjvoAYhpcNFc06FUo7QAZCLFCfoONv1cGw66M_q8mBGbHrVntKXcVxeehcItlBD7ZM8Svqq87r9E4t-WY4NNHmYdnjRehYCl9TfY8o3BQpB3QeJSjFceBPCX_JZ7WWH70RnFykvnVSmz4AqKJoXKBNWAV1thu1ANd3W6J-LTn-6RGv6YxSYWKWZ7UR75OkQmMPRCeuJvsAswgFz9DnOBxi8ugkSwK4jHrOosRRZwiyEVCGQAmrQbQ81uUfPsqPaphO2GqulSP7r5GO9YpyGjdaU2v862KKskVpjSpby9a78Rh6cWQDtjkYesGOLLXoFAHEL6mH4CXaB3n0ao_hyvroxHy-IPdc5m2U4hSsrz04ESQuwnWfmcMdhZs9EGk-FqBIkwJ_s1cLvknyY4TlpMe1LMIlaxM5WmbG2G6-XaxrVa_TZky4oU5RtZ8tWBe1UY7huHRgzxTL0ZfCI5VrXxHscyWmxLsgwfUJwsSH7v4yKVnncDIPxNfU7qQSewN7Ql_bPPAIqg2HPJJKGAc6tSMS2-H3jdQla9n-xoe9JbavwfWaZLuX2dPgzN85KDxLcU6Vg9CcY3HGETjGWh6x2DJTgCdNrKgg8ESFIEGhfIxEgviYcumhbnsl01Jqpkt7sTF0jXAgp66o0gXv9_TOP_GhjmbPI-yPLfIMd_aMpVB6z4xVsIqRqfciiO8VDWphEghKJwFzu-QPmOOgriyumhIEix03ZTJsdEgde9uWuwi4AEGmdN8raF06M4K2Yr8JUcfCOrWqNmechmjukM7CP5Oy11-Paac-mrNw7GLcQuz3LtjzF_GtQ0885Ad-hgtXBJsMu7U0cdzgmCIuLDrKh8CYA82oBzRB30bZgMaML5MrXlw9DD7jqFY_qc1KVCLHoeLrYgO4DQSy-x4Xr9ECgGgRWLBPDAR-MPjuJ_GCB4l4ceAdZKiIBDhGsgwJB4B77gBq7kAX2UK9u-XmE5GfyXMV59Cxud0OAbJU29NT4cwXtB9HoGs149h-h6QPsga2AGZp6OY5qwSvwLJbay-bfTwKoZlZVeSnNhH5snXyfwlf37h4YAE4u4FZDGSrMBukLkwb6uyBsR7sykAlHi8px9wg2Tgt9Gg7xCDcYYPN5It2Uu9PT-Xhz8XpS1RHWHjWVYDVL0d0x4irUciWDk9rm-uREstjhPjbR2eLCAMNmy6Y7ilIvMIT1DRQivg4SvtnSVWF5uQecxLKxa8f0ewb-Vova9pZGANhylNQBQKk6ObndKO2iH6aZ1JPOTZ6XTEPaKWEQA7EK3h-T_g==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Checking for duplicates**\\n\\nI noticed a huge duplication due to the file possibly containing the same sections. I need to check for duplication, as my edits may have inserted content before existing sections. It seems like there's a possibility that my architecture is duplicated too, considering the preview shows repeated sections later in the document. I'll inspect that area further, possibly using grep to look for headings to clarify where the duplicates are occurring.\"}]}" }, { "type": "toolCall", "id": "call_lPCglDMKREDKxcM3OAHU2yBP|fc_0ff3a93ad93b26e40169facf989ac08197ab3adcd0e0fb1898", "name": "bash", "arguments": { "command": "cd /home/sebas/pi-config && rg -n \"Native detached batch jobs|Dedicated Telegram|Wi‑Fi tracker\" SERVICES-ARCHITECTURE.md && wc -l SERVICES-ARCHITECTURE.md", "timeout": 60 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 5836, "output": 128, "cacheRead": 71680, "cacheWrite": 0, "totalTokens": 77644, "cost": { "input": 0.01459, "output": 0.00192, "cacheRead": 0.01792, "cacheWrite": 0, "total": 0.03443 } }, "stopReason": "toolUse", "timestamp": 1778044817856, "responseId": "resp_0ff3a93ad93b26e40169facf9268f881979ddb8390acbe17e9" } }, { "type": "message", "id": "207c0060", "parentId": "33b63e34", "timestamp": "2026-05-06T05:20:25.090Z", "message": { "role": "toolResult", "toolCallId": "call_lPCglDMKREDKxcM3OAHU2yBP|fc_0ff3a93ad93b26e40169facf989ac08197ab3adcd0e0fb1898", "toolName": "bash", "content": [ { "type": "text", "text": "110:## Native detached batch jobs and loops for subagents\n199:## Dedicated Telegram `pi` service\n224:## Wi‑Fi tracker service\n385 SERVICES-ARCHITECTURE.md\n" } ], "isError": false, "timestamp": 1778044825090 } }, { "type": "message", "id": "e3ccd6cf", "parentId": "207c0060", "timestamp": "2026-05-06T05:20:31.421Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Evaluating line counts**\n\nI’m thinking that I need to compare against a base, and I'm wondering if a difference qualifies as large. I want to make sure I'm not duplicating anything in my calculations. Checking the line count, I’m estimating it might be around 385. This seems okay for what I’m trying to accomplish. It’s reassuring to mark the todo as completed, which feels like a nice little victory!", "thinkingSignature": "{\"id\":\"rs_0ff3a93ad93b26e40169facf9ac3ac8197bf543c58436b02c1\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-s-dslE0ZM0FRL1jxRetNuQfU0XR8J0yZp8cipmHCEvlXLF3Y56lU0gEgCJ4NJaHSBNpMtrBnjGsVcNLkq0p2GHYnv4XfjF4AC78QW9gR-b1WktGTFYsrSZXorXKykzLXt0XFsVN1jgtAZ1WelHLgavMEybWMHJMwG9mL5_lkj_GeoZGPJw--dAvIIFn8WHXwbs3cyStYqRgDhO1J2kZOILTO7N9dOLggAVbL_zX8w3EarNvy0Jmt3EJ3DMlEO9sYhRy88s7lMSzv1YZaVKeSE-VDiniJqzhq5QLr3s0MCDM3aoV_raCs_4kXvQ-6XNKvcui2LuNARMgD3nkzznK9iQO6J0xhMV_2tuU6zzexpZlraKu8uC7nF1lCK2yyWWpFYY898rkfttUCqrK5ERGHepWVCLmm9by-3tAMOahohvXodWrORLshLulSJGZ4e7cBo7ortp7HU4bLRRDoHy8FOUgh9I2NXhur9I2o4v3VHEqzMTBTVZcDDb15uks8SD8COEa2ybFF--t4MmGDXoXgO_6yMSdW0N75uuORDDnt6sK7lkAkejywFJeRcgxgqZj4dWKzKaJ0lyg5VH_AnK2sOqjKuiVTqQrGjZRC3vPJFd322pIcAkU9YmnW0mvern-xtSTFxVV6fN8a0sEpqDZU9fO6ObgtSBlsfr4Dxo7a3Kh3MZ_v0T3kLP-TgS9n97PX2iiADafs6EI2IQEyJRl0l_2Dxb2_01B8nShvlVDvS3c6VS71l04v7Pfy-aXKXTweYtJk8VDfOycIUH8bzx56y_gnizm1R5t4loI6CJ9L8_AwOOMAZ0XoZIsA134kCsAigvuZynvtZpHQyXvOkzcX6GpaV8RXv_mHVyOqh659d4Wptz8r9WvEt-pAR4Bz2AAt_0LONlB8UdbI76WhbcWE8QEpaAGrteT4ID0gaskBwtrVm6U30iDlyaskTHQwQkls32PgABbUqAonF3fHpokS22GGUIOhjWqC34Dz2OYxe3aOq8-p0hEOezCkmsX3sJSdpd8n0c17lgcwGoSPy6xQlVsOenKlCfqJW2-XDiQOoCVCXMbftAw4HCBpnAyA4el8hkn\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating line counts**\\n\\nI’m thinking that I need to compare against a base, and I'm wondering if a difference qualifies as large. I want to make sure I'm not duplicating anything in my calculations. Checking the line count, I’m estimating it might be around 385. This seems okay for what I’m trying to accomplish. It’s reassuring to mark the todo as completed, which feels like a nice little victory!\"}]}" }, { "type": "toolCall", "id": "call_gc6RSQJAZpeG1P2UwJg3llkm|fc_0ff3a93ad93b26e40169facf9d0d6081978ea26e2b1da9034f", "name": "todo", "arguments": { "action": "update", "id": 3, "status": "completed" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 384, "output": 57, "cacheRead": 77312, "cacheWrite": 0, "totalTokens": 77753, "cost": { "input": 0.0009600000000000001, "output": 0.0008550000000000001, "cacheRead": 0.019327999999999998, "cacheWrite": 0, "total": 0.021143 } }, "stopReason": "toolUse", "timestamp": 1778044825092, "responseId": "resp_0ff3a93ad93b26e40169facf9999188197904cbe4c5a5290da" } }, { "type": "message", "id": "c4a0bbeb", "parentId": "e3ccd6cf", "timestamp": "2026-05-06T05:20:31.423Z", "message": { "role": "toolResult", "toolCallId": "call_gc6RSQJAZpeG1P2UwJg3llkm|fc_0ff3a93ad93b26e40169facf9d0d6081978ea26e2b1da9034f", "toolName": "todo", "content": [ { "type": "text", "text": "Updated #3 (pending → completed)" } ], "details": { "action": "update", "params": { "action": "update", "id": 3, "status": "completed" }, "tasks": [ { "id": 1, "subject": "Diagnose pi CLI invocation/auth issue", "status": "completed", "description": "Test pi in minimal ways to find which invocation works on this machine and why current loop/jobs fail with azure-openai-responses auth error.", "activeForm": "testing pi invocations", "owner": "sebas-agent" }, { "id": 2, "subject": "Harden pi scripts to force openai-codex and update docs", "status": "completed", "description": "Patch pi-loop and pi-job-runner to avoid ambiguous provider resolution. Update existing docs to document explicit provider/model usage for reliable unattended jobs.", "activeForm": "patching pi scripts and docs", "owner": "sebas-agent" }, { "id": 3, "subject": "Promote pi-loop as first-class tool in docs", "status": "completed", "description": "Make pi-loop visible in main docs, architecture, and add dedicated usage doc with comparison against pi-job tools.", "activeForm": "updating pi-loop docs", "owner": "sebas-agent" } ], "nextId": 4 }, "isError": false, "timestamp": 1778044831423 } }, { "type": "message", "id": "871f4f54", "parentId": "c4a0bbeb", "timestamp": "2026-05-06T05:20:38.838Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Sí. Ya quedó mucho más visible.\n\n## Dónde lo dejé\n\n### 1. README principal\n- `~/pi-config/README.md`\n\nAhora:\n- aparece en `Included`\n- tiene sección propia dentro de `Batch pi helpers`\n- compara directo:\n - `pi-loop` vs `pi-job-*`\n- da regla de decisión clara\n\n### 2. Doc dedicada\n- `~/pi-config/docs/pi-loop.md`\n\nAhí quedó:\n- qué hace\n- cuándo usarlo\n- cuándo usar `pi-job-*` en cambio\n- defaults\n- ejemplos\n- layout de outputs\n\n### 3. Arquitectura\n- `~/pi-config/SERVICES-ARCHITECTURE.md`\n\nAhora:\n- `pi-loop` ya figura como herramienta de primer nivel\n- está puesto junto a `pi-job-*`\n- queda explícito el split conceptual\n\n## Resultado práctico\n\nAhora si alguien mira docs principales, debería ver:\n- `pi-loop` existe\n- para qué sirve\n- cuándo proponerlo\n- cómo se diferencia de `pi-job-*`\n\nSi querés, siguiente mejora fuerte:\n- agregar alias más “mentalmente recordable”\n - por ejemplo `pi-iterate`\n - manteniendo `pi-loop` como nombre real o alias inverso\n\nEso lo haría todavía más proponible en conversación.", "textSignature": "{\"v\":1,\"id\":\"msg_0ff3a93ad93b26e40169facfa196dc819782a54f0ee7646fd8\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 459, "output": 280, "cacheRead": 77312, "cacheWrite": 0, "totalTokens": 78051, "cost": { "input": 0.0011475, "output": 0.0042, "cacheRead": 0.019327999999999998, "cacheWrite": 0, "total": 0.024675499999999996 } }, "stopReason": "stop", "timestamp": 1778044831425, "responseId": "resp_0ff3a93ad93b26e40169facfa042d48197bab1bb465205bbd8" } } ], "memory_hints": { "observed_messages": 57, "has_latest_dialogue": true }, "trigger": "session-memory-dispatcher" }, "analysis": { "status": "failed", "save": null, "saved": null, "memory_id": null, "memory_ids": [], "saved_count": 0, "error": "Warning: No models match pattern \"gemini-3-flash-preview:minimal\"\nWarning: No models match pattern \"gemini-3-flash-preview:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:low\"\nWarning: No models match pattern \"claude-3-7-sonnet:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:high\"\nWarning: No models match pattern \"o3-mini:low\"\nWarning: No models match pattern \"o3-mini:medium\"\nWarning: No models match pattern \"o3-mini:high\"\nWarning: No models match pattern \"minimax-m2.5-free:minimal\"\nWarning: No models match pattern \"qwen/qwen3-coder:free:minimal\"\nWarning: No models match pattern \"google/gemma-3-27b-it:free:minimal\"\n[openai-codex] Token refresh failed: 401 {\n \"error\": {\n \"message\": \"Your refresh token has already been used to generate a new access token. Please try signing in again.\",\n \"type\": \"invalid_request_error\",\n \"param\": null,\n \"code\": \"refresh_token_reused\"\n }\n}\nNo API key for provider: openai-codex" } }