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/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-01T04-46-00-103Z_019de1db-9fa6-754c-921f-b7cc734ef350.jsonl:71:{"type":"message","id":"83138a1d","parentId":"38623404","timestamp":"2026-05-01T16:08:56.283Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Sending notification**\n\nI need to send a notification via Telegram right now. I'm thinking through the best way to execute this quickly and effectively. I should probably gather the necessary information to include in the message, like details about what I'm notifying about. Once I have everything prepared, I can proceed with sending the notification. It's all about making sure the user gets the information they need promptly!","thinkingSignature":"{\"id\":\"rs_01d85e1c553e7c520169f4d015f43c8193b6e256d105f31b15\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9NAX36q5VxX9ahUhbfzMJ_ugQCpuRiWT3dsoS5BfE8PkL2Kxf1s-PQP1QijeTmZVmmqdNzxj4_BHqRmUV9PnmsyjSiCpERu-TwAQs4B3-iyirrj3Nj2v-EyHgVQhv3rDyq2hcyUOwPYDvj6g1FIwCWWMeQ4S_g3EuN2z8uqOpNpEL7rEPRS0mPi-JqbUAnFMYK2MOILTnj9H_cU2wWSp7x_Ez3mSohHsd9b9fsnNM-69GtuiN7awR7OxsSzJr9OXbXs9SyEGITTukOLaFxW6t7Vmv8syZ99Uy_HqGBiWCDkhj7RkCM9UrYWzfaNSMZb0DTBNtcGSVnMIYZYnRXOF__Zq3koaBAaQ8afAxaX0RubT13SQkwPq-vSDk5zQcSWq2U3_YmonXSvX8lONd439c5yydYTMeDxAad1xLwxfEAmdiXaSzxtfSYwj3_b5GPYMoqGyT9uTeDcLGgjlpJUFeMYrDyuhY0l6PYUwMIOYexZbiup5kxIgcTcf-G85nv2ubbqK4QwykZllQD3gkhw1JA7sk70cf-mzIVTdpR6AGBss1dihFwvr0TJrBEOYPIHYHuzlwz5gS2TD8JodV9lWBEv5wyZjdNJbjw_WGV0hEsCLrK-XVXB8PA_GsQUTWVZSUsP07dUk4Vo8hYLrwRrjfVnWpN3XA30BQQbLdObbCC2mAzZUJ3W-A6PHVAWncAftfNkC2_SASCJkgjyU64GZglCcfRGk5CY8vPpQG7lF8Gpu62NsKVAx4ahe5ity_EaHYg5AVR4isIjQDp_zrreKVzerx-fzKK6VMgQz3rqj9M_qxavlI4dDQmhq8qSECgPGcZZpQJFJDNTvHGuYmJ5BMTYPBmsXk4J60RNYTrSHF78s0cXLWiGxDDEwQcDgsO6i5SJfGePIajdzXS8w1fDxry-uIEBXBsfP6uzQlCr7Bt9_Yx6emrXqC2BCCOja56ny47kW\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Sending notification**\\n\\nI need to send a notification via Telegram right now. I'm thinking through the best way to execute this quickly and effectively. I should probably gather the necessary information to include in the message, like details about what I'm notifying about. Once I have everything prepared, I can proceed with sending the notification. It's all about making sure the user gets the information they need promptly!\"}]}"},{"type":"toolCall","id":"call_t3p24lziXhWXnNRCyqE88unX|fc_01d85e1c553e7c520169f4d017b4488193b85d9dc72342029b","name":"bash","arguments":{"command":"~/.agents/skills/telegram-notify/telegram-notify 'Vibes fixed on ballbox-first. Running via systemd, exposed at https://ballbox-first.emperor-ratio.ts.net/vibes/ , portal link present, chat verified end-to-end.'","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":640,"output":86,"cacheRead":55808,"cacheWrite":0,"totalTokens":56534,"cost":{"input":0.0016,"output":0.0012900000000000001,"cacheRead":0.013951999999999999,"cacheWrite":0,"total":0.016842}},"stopReason":"toolUse","timestamp":1777651732227,"responseId":"resp_01d85e1c553e7c520169f4d015150881939e1ef95e9798538e"}}
/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-01T04-46-00-103Z_019de1db-9fa6-754c-921f-b7cc734ef350.jsonl:74:{"type":"message","id":"6e71345d","parentId":"784fba25","timestamp":"2026-05-01T16:08:59.747Z","message":{"role":"toolResult","toolCallId":"call_PmU6FJgO57gE6bpsTcy6Ee8X|fc_01d85e1c553e7c520169f4d01b76308193b493d29833bc5219","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":"Install and expose vibes via nginx","status":"completed","description":"Delegate to subagent: install/build rcarmo/vibes on ballbox-first, configure as a running service, add nginx entry and homepage link, verify end-to-end, then send Telegram notification only after everything works.","activeForm":"installing vibes"}],"nextId":2},"isError":false,"timestamp":1777651739746}}
/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-01T04-46-00-103Z_019de1db-9fa6-754c-921f-b7cc734ef350.jsonl:75:{"type":"message","id":"e2fd1f5d","parentId":"6e71345d","timestamp":"2026-05-01T16:09:07.972Z","message":{"role":"assistant","content":[{"type":"text","text":"Done.\n\nWhat broke:\n- Vibes service had no provider API key in systemd env.\n- Result: UI loaded, chat failed with `No API key for provider: openai-codex`.\n\nFix:\n- Added env file: `/etc/vibes/vibes.env`\n- Updated service: `/etc/systemd/system/vibes.service`\n- Restarted `vibes.service`\n\nVerified:\n- service running\n- nginx route works: `https://ballbox-first.emperor-ratio.ts.net/vibes/`\n- portal/home link exists: `/` contains link to `/vibes/`\n- end-to-end chat works through nginx; prompt `reply with exactly OK` returned `OK`\n\nCurrent state:\n- `vibes.service` active\n- local upstream on `127.0.0.1:3931`\n- public path via nginx: `https://ballbox-first.emperor-ratio.ts.net/vibes/`\n\nAlso:\n- Telegram sent.\n\nAbout subagents:\n- subagent tool itself is not reliable here right now. It hangs/never returns even for trivial tasks. I did not keep looping it because it would just burn time again.\n- I fixed the actual app directly. If you want, next I can debug the subagent runtime itself as a separate issue.","textSignature":"{\"v\":1,\"id\":\"msg_01d85e1c553e7c520169f4d01cffc48193a5d9f36ad15f31bc\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":281,"output":265,"cacheRead":56320,"cacheWrite":0,"totalTokens":56866,"cost":{"input":0.0007025000000000001,"output":0.003975,"cacheRead":0.014079999999999999,"cacheWrite":0,"total":0.0187575}},"stopReason":"stop","timestamp":1777651739753,"responseId":"resp_01d85e1c553e7c520169f4d01c072c819396c06291108f0d64"}}
/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-01T04-46-00-103Z_019de1db-9fa6-754c-921f-b7cc734ef350.jsonl:76:{"type":"message","id":"b12d9dba","parentId":"e2fd1f5d","timestamp":"2026-05-01T16:10:54.865Z","message":{"role":"user","content":[{"type":"text","text":"vibes seems very broken still. sending message hangs the UI. clicking a folder throws Error: Uncaught ReferenceError: setDownloadId is not defined\nLine: 824\nremove. dont want to debug someone elses code"}],"timestamp":1777651854855}}
/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-01T04-46-00-103Z_019de1db-9fa6-754c-921f-b7cc734ef350.jsonl:77:{"type":"message","id":"7ab10f2d","parentId":"b12d9dba","timestamp":"2026-05-01T16:11:00.771Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Removing nginx link**\n\nI need to remove the service/nginx link. The user asked for this directly, so I don't think I need confirmation. It’s an irreversible action, but since the user explicitly requested it, I should proceed. I might need to check the portal file to see if a link was generated as static. Time to find those files and get this done!","thinkingSignature":"{\"id\":\"rs_01d85e1c553e7c520169f4d0904a18819385f5e6aa841bd145\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9NCUsPEdyn5KFiv7o0pOEG9dCGhUDcN1r8E__Bp7SfoMHGbx_BLSh8HQMDghNWZCBKoFjvs791ET_9F-VKCTQvYuiWDREKGnHj8RYvwGbzpHWZpAttIHkqxqgfhfDdmlR8dNqe9-lZFA6PQeWDIE2rwN8m5UrYkX_js_4p5d2wHaf09fuBn70Ev2sgiZDI1C4gBAlk6IW2ObzRFMBM2xrg1FNLcWaz7jGWqprVK7GDCEAEo32xgPVpsUvRBkiMwNigwwt0Xsw0wMwuKbRcJ6izC4uzmo3vjhlOi4kdfd-O55oZmSbNF1DXyzsG-AwVOhpsZnUi5LXZuFdAEDvctFeaINuw6K3pciURvQSQl1c9nnfm1UmeQxUTicV97uukCqhxPeVyL4F5j0MbOgOcLcCk7b6q9_YcYgRfrmB5eKcy189YYexcKvpIhSVqyxYPHB5MbLik99d5q9TYQeV8c66DHEnxX1SGzV3wa-x_i74CNpfdT6X8i8BnZ9PrVSdR7DD6XZx8OlfVFcS8NZyzt1w4I8owOdHXLyBKc-xsl69_KKrJhfhemY_vXnnLjI4QBwV1tk5b6yU30IsTiiBx7hMgBJyvgw3M-XDoEYHYWuP30S2Sk69aIwDm6Q4_Sn2IAkphmipImGGtU8WVsCNYwjHZ011kyPsq-SefIg0bk7AxkWnWU4sAvce6jKbb-dEOMSs0SBHrggbO3PBQLp58Hd2C-ZfVY3qaQsnlOECrMRR7rYnLcC-2GynJ_rnnrF045qwhvRh3iNt8oNCB4CAXdTzkI3UHZQm6EjghbJmNfblHb15s4y1wjJceLRWmL5EWfXMZh3MlEL6U7gE0WEwjCYos3qPqIv5mf1yqIg0GCWgJ1_h4eFd4HJ-YVv3VnWeyZBDF3zHhIl1Ix4iP5mLr2vt_BToOlmVIiclclZZhGbsWhhYtKxcrTYzvkGVxJ-3PgouCxV9atsBWbM2CR7iDEUqJYBI6gYlssk9EP1jk57G4aO9Zo98yF6oFLpAIddwOqsJ5EFS8AsdaKCWa9EL_f4p959Vl17wkfeOY4vko2ZiF5W1-dJLiAadkelcL8j8Y7BRjP0qfMrh_yupj5TpET6-h705i32l8JjhnWuXnDWCxdXvJxt--F-2usCagpW5jmSV2IVcFfBJPWo8YhO2z3iBLe8sC9XNZG94xnQbxRXeC5L9ocTkW4QTWvHMqH1nKOrgdu_YNR3h8krNxFMh3iXiPjMFNECagV2ibrFX-cVgFClmcW6JZ4PGCyF3-bnsrMLRVWp\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Removing nginx link**\\n\\nI need to remove the service/nginx link. The user asked for this directly, so I don't think I need confirmation. It’s an irreversible action, but since the user explicitly requested it, I should proceed. I might need to check the portal file to see if a link was generated as static. Time to find those files and get this done!\"}]}"},{"type":"toolCall","id":"call_CBuq2x0fdiUu4kzkaPPf58OT|fc_01d85e1c553e7c520169f4d094747881939023da204ce683df","name":"bash","arguments":{"command":"set -e\nprintf '== nginx vibes refs ==\\n'; grep -Rni \"vibes\" /etc/nginx /var/www /mnt/rpi/pi-config 2>/dev/null | head -n 200\nprintf '\\n== systemd ==\\n'; systemctl cat vibes.service || true\nprintf '\\n== app dir ==\\n'; ls -la /mnt/rpi/apps/vibes || true","timeout":30}},{"type":"toolCall","id":"call_tGQO2lVeH96Phkfi4pjRHEIO|fc_01d85e1c553e7c520169f4d094748c81938b0f396fd0e0854a","name":"bash","arguments":{"command":"curl -s http://127.0.0.1/ | nl -ba | sed -n '40,70p'","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":46139,"output":224,"cacheRead":8704,"cacheWrite":0,"totalTokens":55067,"cost":{"input":0.1153475,"output":0.00336,"cacheRead":0.002176,"cacheWrite":0,"total":0.1208835}},"stopReason":"toolUse","timestamp":1777651854858,"responseId":"resp_01d85e1c553e7c520169f4d08f2a3081939bb79872e68ab901"}}
/mnt/rpi/pi-config/sessions/--home-sebas--/2026-04-29T15-52-49-558Z_019dd9f1-6695-771d-9d52-30c876acff7a.jsonl:72:{"type":"message","id":"725aa231","parentId":"e6ec6103","timestamp":"2026-04-29T16:17:50.969Z","message":{"role":"toolResult","toolCallId":"call_Ek5pi9qYitTOV12ahQZ3tHVo|fc_05c5cbecf92f5ed70169f22f295638819599bfa5602b83b50c","toolName":"bash","content":[{"type":"text","text":"===== pi-crew README HEAD =====\n# pi-crew\n\n`pi-crew` is a Pi extension/package for coordinated AI teams: autonomous routing, manual slash-command controls, durable run state, artifacts, async/background execution, optional worktree isolation, resource management, validation, import/export, dashboard helpers, and safe API interop.\n\nNPM package:\n\n```text\npi-crew\n```\n\nGitHub repository:\n\n```text\nhttps://github.com/baphuongna/pi-crew\n```\n\n## Status\n\n`pi-crew` is published on npm and implemented with safe execution defaults and product-oriented foundations.\n\nCurrent highlights:\n\n- one main Pi tool: `team`\n- autonomous delegation policy injection before agent start\n- metadata-aware `recommend` action for routing, decomposition, fanout hints, async/worktree suggestions\n- configurable autonomy profiles: `manual`, `suggested`, `assisted`, `aggressive`\n- builtin agents, teams, and workflows\n- user/project/builtin resource discovery with priority `builtin < user < project`\n- resource format support for routing metadata: `triggers`, `useWhen`, `avoidWhen`, `cost`, `category`\n- durable run state: manifest, tasks, events, artifacts, imports/exports\n- foreground workflow scheduler\n- detached async/background runner\n- stale async PID detection\n- active run summary and async completion notifications in Pi sessions\n- real child Pi worker execution by default, with explicit scaffold/dry-run opt-out\n- child Pi JSON output parsing for final text, usage, and event counts\n- retryable model fallback attempts per task\n- aggregate usage totals in status/summary\n- progress, summary, prompt, result, log, diff, patch, export artifacts\n- task packets, verification/green-contract evidence, policy decision artifacts, and task graph metadata\n- opt-in git worktree isolation per task\n- worktree branch mismatch detection\n- dirty worktree preservation unless `force` is explicitly set\n- cancel/resume lifecycle operations\n- forget/prune cleanup operations with explicit confirmation\n- export/import portable run bundles\n- resource create/update/delete with backups, dry-run, reference checks, and optional reference updates\n- resource validation and doctor checks\n- project initialization for `.pi` layout and `.gitignore`\n- config show/update with user/project scope and nested unset support\n- safe API interop for manifest/task/event/heartbeat/claim/mailbox operations\n- realpath containment for run/import/artifact/transcript/mailbox/agent state reads and writes, including symlink escape protection\n- read-only state APIs avoid creating mailbox files when only inspecting delivery or mailbox state\n- run-level and task-level mailbox files with validation/repair support\n- `/team-manager` interactive helper\n- `/team-dashboard` custom TUI overlay with progress preview, action shortcuts, and reload\n- `parallel-research` team/workflow for dynamic `Source/pi-*` fanout and parallel shard exploration\n- observability metrics: per-session Counter/Gauge/Histogram registry, JSONL sink, `/team-metrics`, dashboard metrics pane, Prometheus/OTLP exporters (OTLP opt-in)\n- reliability hardening: heartbeat gradient watcher, opt-in retry executor with attempt trace, crash-recovery detection, deadletter queue\n- background `Agent`/`crew_agent` completion wake-up so parent sessions can automatically join completed subagent results\n- package polish: `schema.json`, TypeScript semantic check, strip-types import smoke, cross-platform CI workflow, dry-run package verification\n\n## Install\n\nFrom npm:\n\n```bash\npi install npm:pi-crew\n```\n\nFrom the workspace root for local development:\n\n```bash\npi install ./pi-crew\n```\n\nOptional config bootstrap after npm install:\n\n```bash\npi-crew\n```\n\nOptional config bootstrap from a local clone:\n\n```bash\nnode ./pi-crew/install.mjs\n```\n\nLocal verification from this package:\n\n```bash\ncd pi-crew\nnpm run ci\n```\n\n## Runtime safety model\n\nBy default, `run` launches each crew task as a separate child Pi process. This matches the subagent model from `pi-subagents`: the parent session orchestrates while worker sessions execute independently and stream durable output back to run state.\n\nUse scaffold/dry-run mode only when you explicitly want prompts/artifacts without launching workers:\n\n```json\n{\n  \"runtime\": { \"mode\": \"scaffold\" }\n}\n```\n\nor disable workers globally:\n\n```json\n{\n  \"executeWorkers\": false\n}\n```\n\nWorktree mode is opt-in:\n\n```json\n{\n  \"action\": \"run\",\n\n===== pi-messenger-swarm README HEAD =====\n<p>\n  <img src=\"https://raw.githubusercontent.com/monotykamary/pi-messenger-swarm/main/banner.png\" alt=\"pi-messenger-swarm\" width=\"1100\">\n</p>\n\n# Pi Messenger (Swarm Mode)\n\nPi Messenger is a file-based multi-agent coordination extension for Pi.\n\n- Agents in different terminals can join the same mesh\n- Each Pi session gets its own default session channel\n- Named channels like `#memory` remain durable shared spaces\n- Feed events, tasks, archives, and message routing are channel-scoped\n- Main agents can spawn dynamic subagents with custom roles/personas/objectives\n- No daemon required (all state is file-backed)\n\nThis swarm-first fork is inspired by and built upon the original project by Nico Bailon:\nhttps://github.com/nicobailon/pi-messenger\n\n[![npm version](https://img.shields.io/npm/v/pi-messenger-swarm?style=for-the-badge)](https://www.npmjs.com/package/pi-messenger-swarm)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge)](LICENSE)\n\n## Screenshots\n\n| Swarm Details                              | Swarm Messenger                                |\n| ------------------------------------------ | ---------------------------------------------- |\n| ![Swarm Details](assets/swarm_details.jpg) | ![Swarm Messenger](assets/swarm_messenger.jpg) |\n| Memory Channel                             | Session Channel                                |\n| ![Memory Channel](assets/memory.jpg)       | ![Session Channel](assets/session.jpg)         |\n\n## Install\n\nFrom npm:\n\n```bash\npi install npm:pi-messenger-swarm\n```\n\nFrom git (Pi package settings):\n\n```json\n{\n  \"packages\": [\"git:github.com/monotykamary/pi-messenger-swarm@main\"]\n}\n```\n\n> Tip: after release tags are published, pin to a version tag instead of `main` (for example `@vX.Y.Z`).\n\n## Quick Start\n\nJoin the messenger and start collaborating in your session channel:\n\n```bash\npi-messenger-swarm join\npi-messenger-swarm send #memory \"Investigating auth timeout in refresh flow\"\npi-messenger-swarm task create --title \"Investigate auth timeout\" --content \"Repro + fix\"\npi-messenger-swarm task claim task-1\npi-messenger-swarm task progress task-1 \"Found race in refresh flow\"\npi-messenger-swarm task done task-1 \"Fixed refresh lock + tests\"\n```\n\nSpawn a specialized subagent:\n\n```bash\npi-messenger-swarm spawn --role \"Packaging Gap Analyst\" --persona \"Skeptical market researcher\" \"Find productization gaps in idea aggregation tools\"\n```\n\n## Channel Model\n\nPi Messenger is now **channel-first**.\n\n### Session channels\n\nEach Pi session gets a dedicated default channel, generated as a human-friendly phrase such as:\n\n- `#quiet-river`\n- `#wild-viper`\n- `#ember-owl`\n\nThe same Pi `sessionId` restores the same session channel when reopened.\n\n### Named channels\n\nBy default, a durable named channel is created:\n\n- `#memory` — cross-session knowledge, notes, decisions, and async handoff\n\nYou can create additional named channels as needed.\n\nYou can also create additional named channels explicitly with `join`.\n\n### Durable channel posting\n\nChannel messages are durable even when nobody is listening.\n\nPosting to a channel means:\n\n1. append to that channel's feed\n2. try live inbox delivery to agents currently joined to that channel\n\nThat makes channels useful as async coordination logs for later agents to pick up.\n\n### Session switching and resume\n\nIf Pi switches or resumes sessions inside the same live messenger instance, messenger rebinds to the resumed Pi session:\n\n- restores the correct session channel\n- drops stale old session-channel membership\n- restarts watchers on the correct inbox\n- keeps named channels like `#memory`\n\n## Core Actions\n\n### Coordination\n\n- `join`\n- `status`\n- `list`\n- `whois`\n- `feed`\n- `set_status`\n\n===== taskplane README HEAD =====\n# Taskplane\n\nMulti-agent AI orchestration for coding with [pi](https://github.com/badlogic/pi-mono) — parallel task execution, mono- and poly-repo support, fresh-context worker loops, cross-model reviews, automated merges and a killer dashboard! \n\n> **Status:** Initial release.\n\n## What It Does\n\nTaskplane orchesrates batches of task to help you turn ideas into high-quality code using a proven process of:\n\nhave an idea >> create a spec >> create tasks >> orchestrate tasks >> evaluate the outcome\n\nFor background on Taskplane's creation see [Author's Note on Medium](https://medium.com/@henry_49934/welcome-to-taskplane-authors-note-ad3a0278fdd3).\n\n### Taskplane has:\n- A skill for creating tasks that the Taskplane orchestrator can run\n- prompt.md/status.md task definitions for persistent memory store\n- Support for both monorepo and polyrepo projects\n- Complete parallelized worktree isolation with dependency graphing and segment-level repo isolation\n- 4 agent types: supervisor, worker, reviewer, and merger\n- A deterministic orchestration engine to drive repeatable positive agent outcomes at scale\n- A simple file-based mail system so agents can communicate with each other\n- A killer locally-run web-based dashboard so you can see everything that's going on\n\n<img src=\"docs/images/orchrun-wave2of4-2lanes-withstatus.png\" alt=\"image of taskplane dashboard\" width=\"50%\">\n\n### STEP 1: Create the tasks\nTaskplane turns your coding project into an AI-managed task orchestration system. You simply ask your agent to create tasks using the built-in \"create-taskplane-tasks\" skill. This skill provides an opinionated task definition template designed to drive successful coding outcomes. Tasks define both the prompt.md and the status.md files that together act as the persistent memory store that allows AI coding agents to survive context resets and succeed with very long running tasks that would typically exhaust an agent's context window.\n\n### STEP 2: Run batches of tasks\nTaskplane works out the dependency map for an entire batch of tasks then orchestrates them in waves, lanes, and tasks with appropriate parallelization and serialization. Taskplane can do this for both monorepo and polyrepo projects. For polyrepo projects, Taskplane additionally subdivides tasks into repo-aligned segments and uses a segmentation dependency map (DAG) to manage proper repo/worktree isolation and allow for dynamic segment expansion so worker agents can ask the supervisor agent to add additional segments to the dependency map in real time if required.\n\n### Key Features\n\n- **Task Orchestrator** — Parallel multi-task execution using git worktrees for full filesystem isolation. Dependency-aware wave scheduling. Automated merges into a dedicated orch branch — your working branch stays stable until you choose to integrate.\n- **Persistent Worker Context** — Workers handle all steps in a single context, auto-detecting the model's context window. Only iterates on context overflow. Dramatic reduction in spawn count and token cost.\n- **Worker-Driven Inline Reviews** — Workers invoke a `review_step` tool at step boundaries. Reviewer agents spawn with full telemetry. REVISE feedback is addressed inline without losing context.\n- **Supervisor Agent** — Conversational supervisor monitors batch progress, handles failures, and can invoke orchestrator commands autonomously (resume, integrate, pause, abort).\n- **Web Dashboard** — Live browser-based monitoring via `taskplane dashboard`. SSE streaming, lane/task progress, reviewer activity, merge telemetry, batch history.\n- **Structured Tasks** — PROMPT.md defines the mission, steps, and constraints. STATUS.md tracks progress. Agents follow the plan, not vibes.\n- **Checkpoint Discipline** — Step boundary commits ensure work is never lost, even if a worker crashes mid-task.\n- **Cross-Model Review** — Reviewer agent uses a different model than the worker agent (highly recommended, not enforced). Independent quality gate before merge.\n\n## Installation\n\nTaskplane is a pi package. You need Node.js 22+, pi and Git installed first.\n\n### Prerequisites\n\n| Dependency | Required | Notes |\n|-----------|----------|-------|\n| [Node.js](https://nodejs.org/) ≥ 22 | Yes | Runtime |\n| [pi](https://github.com/badlogic/pi-mono) | Yes | Agent framework |\n| [Git](https://git-scm.com/) | Yes | Version control, worktrees |\n\nIMPORTANT: If you just installed pi, make sure you've configured at least one model provider and tested before installing Taskplane.\n\n### Option A: Global Install (all projects - recommended)\n\n```bash\npi install npm:taskplane\n```\n\n### Option B: Single Project-Local Install\n\n```bash\ncd my-project\npi install -l npm:taskplane\n```\n\n## Quickstart\n\n### 1. Initialize a project (to scaffold settings)\nThis step assumes you have installed Taskplane using one of the above options. \n\n(NOTE: if 'my-project' is a monorepo, be sure to run git init first. Taskplane uses git worktrees to isolate agent coding until you're ready to merge back to your default branch.)\n\n```bash\ncd my-project\ntaskplane init\n```\nYou'll answer a few questions. You can usually just accept the defaults. \n\nThis creates: config files in `.pi/`, agent prompts, two example tasks, and adds `.gitignore` entries for runtime artifacts. On first install, init bootstraps global preferences at `~/.pi/agent/taskplane/preferences.json` with thinking defaults set to `high` for worker & reviewer, and off for merger. Init auto-detects whether you're in a monorepo or a polyrepo workspace. See the [install tutorial](docs/tutorials/install.md) for workspace mode and other scenarios.\n\nAlready have a task folder (for example `docs/task-management`)? Use:\n\n```bash\ntaskplane init --preset full --tasks-root docs/task-management\n```\n\nWhen `--tasks-root` is provided, example task packets are skipped by default. Add `--include-examples` if you explicitly want examples in that folder.\n\n### 2. Check your install with taskplane doctor\n\nVerify the installation and scaffolding. You should have all green checkboxes if everything was successful:\n\n```bash\ntaskplane doctor\n```\n\n### 3. Launch the dashboard (recommended)\n\nIn a separate terminal:\n\n```bash\ntaskplane dashboard\n```\n\nOpens a live web dashboard at `http://localhost:8099` with real-time batch monitoring.\n\n### 4. Run your first orchestration\n\n```bash\npi\n```\n\nInside the pi session:\n\n```\n\n===== pi-subagents README HEAD =====\n<p>\n  <img src=\"banner.png\" alt=\"pi-subagents\" width=\"1100\">\n</p>\n\n# pi-subagents\n\n`pi-subagents` lets Pi delegate work to focused child agents. Use it for code review, scouting, implementation, parallel audits, saved workflows, background jobs, and anything else that benefits from a second or third set of model eyes.\n\nhttps://github.com/user-attachments/assets/702554ec-faaf-4635-80aa-fb5d6e292fd1\n\n## Installation\n\n```bash\npi install npm:pi-subagents\n```\n\nThat is the only required step. You can add optional pieces later.\n\n## Try this first\n\nYou do not need to create agents, write config, or learn slash commands. After installing, ask Pi for delegation in plain language:\n\n```text\nUse reviewer to review this diff.\n```\n\n```text\nAsk oracle for a second opinion on my current plan.\n```\n\n```text\nUse scout to understand this code based on our discussion then ask me clarification questions.\n```\n\n```text\nRun parallel reviewers: one for correctness, one for tests, and one for unnecessary complexity.\n```\n\nThat is enough to start.\n\n## What happens\n\nPi is the parent session. A subagent is a focused child Pi session with its own job.\n\nWhen you ask for a subagent, Pi starts the child, gives it the task, and brings the result back. Foreground runs stream in the conversation. Background runs keep working and can be checked later.\n\nInstalling the extension does not start an automatic reviewer in the background. It gives Pi a delegation tool. If you want every implementation reviewed, say that in your prompt or put it in your project instructions:\n\n```text\nWhen you finish implementing, run a reviewer subagent before summarizing.\n```\n\n## Good first prompts\n\nThese cover most day-to-day use:\n\n```text\nAsk oracle for a second opinion on my current plan. Challenge assumptions and tell me what I might be missing.\n```\n\n```text\nUse oracle to help solve this hard bug. Have it inspect the code and propose the best next move before we edit anything.\n```\n\n```text\nRun parallel reviewers on this diff. I want one focused on correctness, one on tests, and one on unnecessary complexity.\n```\n\n```text\nHave worker implement this approved plan. Afterward, run parallel reviewers, summarize their feedback, and apply the fixes that make sense.\n```\n\n```text\nUse scout to understand the auth flow, then have planner turn that into an implementation plan.\n```\n\nThose are ordinary Pi requests. Pi decides whether to call `subagent`, which agent to use, and whether a chain or parallel run makes sense.\n\n## Common workflows\n\n| Want | Ask naturally |\n|------|---------------|\n| Get a second opinion | “Ask oracle to review this plan and challenge assumptions.” |\n| Solve a hard problem | “Use oracle to investigate this bug before we edit.” |\n| Review a diff | “Use reviewer to review this diff.” |\n| Run parallel reviewers | “Run reviewers for correctness, tests, and cleanup.” |\n| Implement then review | “Implement this, then review it.” |\n| Execute a plan carefully | “Have worker implement this approved plan, then run reviewers and apply the feedback.” |\n| Scout before planning | “Use scout to inspect the auth flow before planning.” |\n| Run in the background | “Run this in the background.” |\n| Browse agents | “Show me the available subagents.” |\n| Use a saved workflow | “Run the review chain on this branch.” |\n| See running work | “Show subagent status.” |\n| Check setup | “Check whether subagents are configured correctly.” |\n\nThe extension ships with builtin agents you can use immediately.\n\n## Builtin agents in plain English\n\n| Agent | Use it when you want... |\n|-------|--------------------------|\n| `scout` | Fast local codebase recon: relevant files, entry points, data flow, risks, and where another agent should start. |\n| `researcher` | Web/docs research with sources: official docs, specs, benchmarks, recent changes, and a concise research brief. |\n| `planner` | A concrete implementation plan from existing context. It should read and plan, not edit code. |\n| `worker` | Implementation work, including approved oracle handoffs. It edits files, validates, and escalates unapproved decisions instead of guessing. |\n| `reviewer` | Code review and small fixes. It checks the implementation against the task/plan, tests, edge cases, and simplicity. |\n| `context-builder` | A stronger setup pass before planning: gathers code context and writes handoff material such as `context.md` and `meta-prompt.md`. |\n| `oracle` | A second opinion before acting. It challenges assumptions, catches drift, and recommends the safest next move without editing. |\n| `delegate` | A lightweight general delegate when you want a child agent that behaves close to the parent session. |\n\nA simple rule of thumb: use `scout` before you understand the code, `researcher` before you trust external facts, `planner` before a bigger change, `worker` to implement, `reviewer` to check, and `oracle` when the decision itself feels risky.\n\n## Changing a builtin agent's model\n\nYou do not need to copy builtin agent files just to change their model.\n\nFor one run, put the override in the command:\n\n```text\n/run reviewer[model=anthropic/claude-sonnet-4] \"Review this diff\"\n\n===== @ifi/pi-extension-subagents README HEAD =====\n<p>\n  <img src=\"banner.png\" alt=\"@ifi/pi-extension-subagents\" width=\"1100\">\n</p>\n\n# @ifi/pi-extension-subagents\n\nPi extension for delegating tasks to subagents with chains, parallel execution, TUI clarification, and async support.\n\nBuilt on top of [nicobailon/pi-subagents](https://github.com/nicobailon/pi-subagents) (MIT).\n\nhttps://github.com/user-attachments/assets/702554ec-faaf-4635-80aa-fb5d6e292fd1\n\n## Installation\n\n```bash\npi install npm:@ifi/pi-extension-subagents\n```\n\nOr install it as part of the full oh-pi bundle:\n\n```bash\nnpx @ifi/oh-pi\n```\n\nOr use the package installer directly:\n\n```bash\nnpx @ifi/pi-extension-subagents\nnpx @ifi/pi-extension-subagents --local\n```\n\nTo remove:\n\n```bash\nnpx @ifi/pi-extension-subagents --remove\n```\n\n## Agents\n\nAgents are markdown files with YAML frontmatter that define specialized subagent configurations.\n\n**Agent file locations:**\n\n| Scope   | Path                                                                                | Priority |\n| ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- |\n| Builtin | Bundled with this package in `agents/`                                                                                | Lowest   |\n| User    | `~/.pi/agent/agents/{name}.md`                                                                                | Medium   |\n| Project | `~/.pi/agent/subagents/project-agents/<mirrored-workspace>/agents/{name}.md` (searches mirrored parent workspaces); legacy `.pi/agents/{name}.md` is opt-in | Highest  |\n\nUse `agentScope` parameter to control discovery: `\"user\"`, `\"project\"`, or `\"both\"` (default; project takes priority).\n\n<!-- {=subagentsProjectAgentStorageOverview} -->\n\nSubagents stores project-scope agents and chains in shared pi storage by default under a\nworkspace-mirrored path, so repositories stay clean while still supporting parent-workspace lookup\nfor nested projects. Legacy repo-local `.pi/agents/` storage remains available as an explicit\nproject-mode override.\n\n<!-- {/subagentsProjectAgentStorageOverview} -->\n\n**Builtin agents:** The extension ships with ready-to-use agents — `scout`, `planner`, `worker`, `reviewer`, `context-builder`, `researcher`, `artist`, `frontend-designer`, and `multimodal-summariser`. They load at lowest priority so any user or project agent with the same name overrides them. Builtin agents appear with a `[builtin]` badge in listings and cannot be modified through management actions (create a same-named user agent to override instead).\n\n> **Note:** The `researcher` agent uses `web_search`, `fetch_content`, and `get_search_content` tools which require the [pi-web-access](https://github.com/nicobailon/pi-web-access) extension. Install it with `pi install npm:pi-web-access`.\n>\n> **Note:** `artist` and `multimodal-summariser` work best when the runtime can access the relevant media files directly. `artist` prioritizes production-ready SVG and concrete image briefs when raster generation is not available as a tool.\n\n**Agent frontmatter:**\n\n```yaml\n---\nname: scout\ndescription: Fast codebase recon\ntools: read, grep, find, ls, bash, mcp:chrome-devtools # mcp: requires pi-mcp-adapter\nextensions: # absent=all, empty=none, csv=allowlist\ncategory: quick-discovery # optional delegated routing category\nthinking: high # off, minimal, low, medium, high, xhigh\nskill: safe-bash, chrome-devtools # comma-separated skills to inject\noutput: context.md # writes to {chain_dir}/context.md\ndefaultReads: context.md # comma-separated files to read\ndefaultProgress: true # maintain progress.md\ninteractive: true # (parsed but not enforced in v1)\n---\nYour system prompt goes here (the markdown body after frontmatter).\n```\n\nThe `thinking` field sets a default extended thinking level for the agent. At runtime it's appended as a `:level` suffix to the model string (e.g., `claude-sonnet-4-5:high`). If the model already has a thinking suffix (from a chain-clarify override), the agent's default is not double-applied.\n\nThe optional `category` field lets agents participate in delegated startup routing. When a runtime override or explicit `model` is not present, subagents can resolve a concrete model from `~/.pi/agent/extensions/adaptive-routing/config.json`.\n\nDelegated selection is dynamic rather than provider-hardcoded: it considers the models currently available in the session, optional provider disable lists, role overrides such as `subagent:<agent-name>`, best-effort usage headroom from `usage-tracker`, context-window fit, and benchmark-backed task scores.\n\nTo inspect why a delegated startup pick resolved the way it did, use `@ifi/pi-extension-adaptive-routing`'s `/route why <category|role-override> [task text]` command.\n\n**Extension sandboxing**\n\nUse `extensions` in frontmatter to control which extensions a subagent can access:\n\n```yaml\n# Field absent: all extensions load (default behavior)\n\n# Empty field: no extensions\nextensions:\n\n# Allowlist specific extensions\nextensions: /abs/path/to/ext-a.ts, /abs/path/to/ext-b.ts\n```\n\nSemantics:\n\n- `extensions` absent → all extensions load\n- `extensions:` empty → `--no-extensions`\n- `extensions: a,b` → `--no-extensions --extension a --extension b`\n\nWhen `extensions` is present, it takes precedence over extension paths implied by `tools` entries.\n\n**MCP Tools**\n\nAgents can use MCP server tools directly (requires the [pi-mcp-adapter](https://github.com/nicobailon/pi-mcp-adapter) extension). Add `mcp:` prefixed entries to the `tools` field:\n\n```yaml\n\n===== @a5c-ai/babysitter-pi README HEAD =====\n\n===== pi-btw README HEAD =====\n# pi-btw\n\nA small [pi](https://github.com/badlogic/pi-mono) extension that adds a `/btw` side conversation channel.\n\n`/btw` opens a real pi sub-session with coding-tool access, and it runs immediately even while the main agent is still busy.\n\n![BTW overlay example](docs/btw-overlay.png)\n\n## What it does\n\n- opens a parallel side conversation without interrupting the main run\n- runs that side conversation as a real pi sub-session with `read` / `bash` / `edit` / `write` tool access\n- keeps a continuous BTW thread by default\n- supports `/btw:tangent` for a contextless side thread that does not inherit the current main-session conversation\n- opens a focused BTW modal shell with its own composer and transcript\n- keeps the BTW overlay open while you switch focus back to the main editor with `Alt+/`\n- keeps BTW thread entries out of the main agent's future context\n- supports BTW-only model and thinking overrides without changing the main thread settings\n- lets you inject the full thread, or a summary of it, back into the main agent\n- optionally saves an individual BTW exchange as a visible session note with `--save`\n\n## Install\n\n### From npm (after publish)\n\n```bash\npi install npm:pi-btw\n```\n\n### From git\n\n```bash\npi install git:github.com/dbachelder/pi-btw\n```\n\nThen reload pi:\n\n```text\n/reload\n```\n\n### From a local checkout\n\n```bash\npi install /absolute/path/to/pi-btw\n```\n\n## Usage\n\n```text\n/btw what file defines this route?\n/btw how would you refactor this parser?\n/btw --save summarize the last error in one sentence\n/btw:new let's start a fresh thread about auth\n/btw:tangent brainstorm from first principles without using the current chat context\n/btw:model openai gpt-5-mini openai-responses\n/btw:thinking low\n/btw:inject implement the plan we just discussed\n/btw:summarize turn that side thread into a short handoff\n/btw:clear\n```\n\n## Commands\n\n### `/btw [--save] <question>`\n\n- runs right away\n- works while pi is busy\n- creates or reuses a real BTW sub-session instead of a one-off completion call\n- continues the current BTW thread\n- opens or refreshes the focused BTW modal shell\n- streams into the BTW modal transcript/status surface\n- persists the BTW exchange as hidden thread state\n- with `--save`, also saves that single exchange as a visible session note\n\n## Overlay controls\n\n- `Alt+/` toggles focus between BTW and the main editor without closing the overlay\n- `Ctrl+Alt+W` is a fallback focus toggle for terminals that do not deliver `Alt+/` as a usable shortcut\n- `Esc` still dismisses BTW immediately while the overlay is focused\n- BTW now opens top-centered so the main session remains visible underneath it\n\n### `/btw:new [question]`\n\n- clears the current BTW thread\n- starts a fresh thread that still inherits the current main-session context\n- optionally asks the first question in the new thread immediately\n- if no question is provided, opens a fresh BTW modal ready for the next prompt\n\n### `/btw:tangent [--save] <question>`\n\n- starts or continues a contextless tangent thread\n- does not inherit the current main-session conversation\n- if you switch from `/btw` to `/btw:tangent` (or back), the previous side thread is cleared so the modes do not mix\n- opens or refreshes the same focused BTW modal shell\n- with `--save`, also saves that single exchange as a visible session note\n\n### `/btw:clear`\n\n- dismisses the BTW modal/widget\n- clears the current BTW thread\n\n### `/btw:inject [instructions]`\n\n- sends the full BTW thread back to the main agent as a user message\n- if pi is busy, queues it as a follow-up\n- clears the BTW thread after sending\n\n### `/btw:summarize [instructions]`\n\n- summarizes the BTW thread with the current effective BTW model\n- always runs summarize with thinking off, even if BTW chat is using a thinking override\n- injects the summary into the main agent\n- if pi is busy, queues it as a follow-up\n- clears the BTW thread after sending\n\n### `/btw:model [<provider> <model> <api> | clear]`\n\n- with no args, shows the current effective BTW model and whether it is inherited or overridden\n- with values, sets a BTW-only model override\n\n"}],"isError":false,"timestamp":1777479470965}}

== systemd ==
# /etc/systemd/system/vibes.service
[Unit]
Description=Vibes web UI
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
User=sebas
Group=sebas
WorkingDirectory=/mnt/rpi/apps/vibes
Environment=PATH=/home/sebas/.bun/bin:/home/sebas/.npm-global/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
Environment=GOTOOLCHAIN=auto
Environment=VIBES_HOST=127.0.0.1
Environment=VIBES_PORT=3931
Environment=VIBES_DB_PATH=/mnt/rpi/apps/vibes/data/vibes.db
Environment=VIBES_DEFAULT_AGENT=pi
Environment=VIBES_PI_ENABLED=true
EnvironmentFile=-/etc/vibes/vibes.env
ExecStart=/mnt/rpi/apps/vibes/vibes
Restart=always
RestartSec=5

[Install]
WantedBy=multi-user.target

== app dir ==
total 23728
drwxr-xr-x 13 sebas sebas     4096 May  1 13:10 .
drwxr-xr-x  3 sebas sebas     4096 May  1 01:52 ..
-rw-r--r--  1 sebas sebas     2732 May  1 01:52 build.js
-rw-r--r--  1 sebas sebas    19481 May  1 01:52 bun.lock
drwxr-xr-x  4 sebas sebas     4096 May  1 01:52 cmd
drwxr-xr-x  2 sebas sebas     4096 May  1 01:52 config
drwxr-xr-x  2 sebas sebas     4096 May  1 13:09 data
drwxr-xr-x  2 sebas sebas     4096 May  1 01:54 database
-rw-r--r--  1 sebas sebas      671 May  1 01:52 Dockerfile
drwxr-xr-x  2 sebas sebas     4096 May  1 01:52 docs
-rw-r--r--  1 sebas sebas      893 May  1 01:52 embed.go
drwxr-xr-x  8 sebas sebas     4096 May  1 01:56 .git
-rw-r--r--  1 sebas sebas       72 May  1 01:52 .gitattributes
drwxr-xr-x  3 sebas sebas     4096 May  1 01:52 .github
-rw-r--r--  1 sebas sebas      315 May  1 01:52 .gitignore
-rw-r--r--  1 sebas sebas      664 May  1 01:52 go.mod
-rw-r--r--  1 sebas sebas    12116 May  1 01:52 GO_PORT.md
-rw-r--r--  1 sebas sebas     5467 May  1 01:52 go.sum
drwxr-xr-x  9 sebas sebas     4096 May  1 01:52 internal
-rw-r--r--  1 sebas sebas     1066 May  1 01:52 LICENSE
-rw-r--r--  1 sebas sebas     4493 May  1 01:52 Makefile
drwxr-xr-x 86 sebas sebas     4096 May  1 01:52 node_modules
-rw-r--r--  1 sebas sebas      411 May  1 01:52 package.json
-rw-r--r--  1 sebas sebas      863 May  1 01:52 playwright.config.mjs
-rw-r--r--  1 sebas sebas    21045 May  1 01:52 README.md
-rw-r--r--  1 sebas sebas    10005 May  1 01:52 SPEC.md
drwxr-xr-x  6 sebas sebas     4096 May  1 01:52 static
drwxr-xr-x  3 sebas sebas     4096 May  1 01:52 tests
-rw-r--r--  1 sebas sebas        0 May  1 13:10 untitled.md
-rwxr-xr-x  1 sebas sebas 24117513 May  1 01:56 vibes

[Showing lines 12-81 of 81 (50.0KB limit). Full output: /tmp/pi-bash-63300ce70e075bd4.log]


40	      Calistenia
    41	      Material de entrenamiento.
    42
    43
    44	      Files
    45	      Copyparty.
    46
    47
    48	      Musica
    49	      MP3 compartidos.
    50
    51
    52	      Vibes
    53	      Web UI para coding agents.
    54
    55
    56


**Evaluating nginx config changes**

I'm thinking about removing something from the nginx config or the portal's HTML. I should probably look for the portal file, which I believe could be located in /var/www, most likely named index.html. To find what I need, using grep seems like a good approach. I want to make sure I identify any specific configurations that are relevant before making any changes. It feels like a methodical way to tackle the task!

bash

set -euo pipefail
sudo systemctl stop vibes.service
sudo systemctl disable vibes.service
sudo rm -f /etc/systemd/system/vibes.service
sudo systemctl daemon-reload
sudo systemctl reset-failed || true
sudo rm -f /etc/vibes/vibes.env
sudo python - <<'PY'
from pathlib import Path
p=Path('/etc/nginx/sites-available/kiosk')
s=p.read_text()
block='''\n    location = /vibes {\n        return 302 /vibes/;\n    }\n\n    location ^~ /vibes/ {\n        rewrite ^/vibes/(.*)$ /$1 break;\n        proxy_pass http://127.0.0.1:3931;\n        proxy_http_version 1.1;\n        proxy_set_header Host $host;\n        proxy_set_header X-Real-IP $remote_addr;\n        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n        proxy_set_header X-Forwarded-Proto $scheme;\n        proxy_set_header Upgrade $http_upgrade;\n        proxy_set_header Connection "upgrade";\n        proxy_buffering off;\n        proxy_redirect off;\n    }\n'''
if block in s:
    s=s.replace(block,'\n')
    p.write_text(s)
PY
sudo nginx -t
sudo systemctl reload nginx
sudo python - <<'PY'
from pathlib import Path
candidates=[Path('/var/www/html/index.html'),Path('/usr/share/nginx/html/index.html')]
for p in candidates:
    if p.exists():
        s=p.read_text()
        old='''    \n      Vibes\n      Web UI para coding agents.\n    \n'''
        if old in s:
            s=s.replace(old,'')
            p.write_text(s)
            print(p)
PY
printf '== service ==\n'; systemctl status vibes.service --no-pager || true
printf '\n== root link ==\n'; curl -s http://127.0.0.1/ | grep -n '/vibes/' || true
printf '\n== vibes route ==\n'; curl -I -s http://127.0.0.1/vibes/ || true
printf '\n== proc ==\n'; ps -ef | grep '[v]ibes' || true


Removed '/etc/systemd/system/multi-user.target.wants/vibes.service'.
nginx: the configuration file /etc/nginx/nginx.conf syntax is ok
nginx: configuration file /etc/nginx/nginx.conf test is successful
== service ==
Unit vibes.service could not be found.

== root link ==
51:

== vibes route ==
HTTP/1.1 502 Bad Gateway
Server: nginx
Date: Fri, 01 May 2026 16:11:16 GMT
Content-Type: text/html
Content-Length: 150
Connection: keep-alive

== proc ==
sebas    3749559 3264244  0 13:11 ?        00:00:00 /bin/bash -c set -euo pipefail sudo systemctl stop vibes.service sudo systemctl disable vibes.service sudo rm -f /etc/systemd/system/vibes.service sudo systemctl daemon-reload sudo systemctl reset-failed || true sudo rm -f /etc/vibes/vibes.env sudo python - <<'PY' from pathlib import Path p=Path('/etc/nginx/sites-available/kiosk') s=p.read_text() block='''\n    location = /vibes {\n        return 302 /vibes/;\n    }\n\n    location ^~ /vibes/ {\n        rewrite ^/vibes/(.*)$ /$1 break;\n        proxy_pass http://127.0.0.1:3931;\n        proxy_http_version 1.1;\n        proxy_set_header Host $host;\n        proxy_set_header X-Real-IP $remote_addr;\n        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n        proxy_set_header X-Forwarded-Proto $scheme;\n        proxy_set_header Upgrade $http_upgrade;\n        proxy_set_header Connection "upgrade";\n        proxy_buffering off;\n        proxy_redirect off;\n    }\n''' if block in s:     s=s.replace(block,'\n')     p.write_text(s) PY sudo nginx -t sudo systemctl reload nginx sudo python - <<'PY' from pathlib import Path candidates=[Path('/var/www/html/index.html'),Path('/usr/share/nginx/html/index.html')] for p in candidates:     if p.exists():         s=p.read_text()         old='''    \n      Vibes\n      Web UI para coding agents.\n    \n'''         if old in s:             s=s.replace(old,'')             p.write_text(s)             print(p) PY printf '== service ==\n'; systemctl status vibes.service --no-pager || true printf '\n== root link ==\n'; curl -s http://127.0.0.1/ | grep -n '/vibes/' || true printf '\n== vibes route ==\n'; curl -I -s http://127.0.0.1/vibes/ || true printf '\n== proc ==\n'; ps -ef | grep '[v]ibes' || true


grep -Rnl 'Vibes' /var/www /usr/share/nginx /mnt/rpi 2>/dev/null | head -n 20

grep -n 'location = /vibes\|location \^~ /vibes/' /etc/nginx/sites-available/kiosk /etc/nginx/sites-enabled/kiosk

readlink -f /etc/nginx/sites-enabled/kiosk && stat -c '%n %y' /etc/nginx/sites-available/kiosk /etc/nginx/sites-enabled/kiosk


Command timed out after 30 seconds


/etc/nginx/sites-enabled/kiosk:97:    location = /vibes {
/etc/nginx/sites-enabled/kiosk:101:    location ^~ /vibes/ {


/etc/nginx/sites-enabled/kiosk
/etc/nginx/sites-available/kiosk 2026-05-01 13:11:16.519025563 -0300
/etc/nginx/sites-enabled/kiosk 2026-05-01 01:55:46.901708411 -0300


set -e
file /etc/nginx/sites-enabled/kiosk
cmp -s /etc/nginx/sites-available/kiosk /etc/nginx/sites-enabled/kiosk || echo 'DIFFERS'
grep -Rnl 'Vibes' /var/www /usr/share/nginx/html /home/sebas 2>/dev/null | head -n 20


/etc/nginx/sites-enabled/kiosk: ASCII text
DIFFERS

Command timed out after 30 seconds


once vibes is removed focus on making subagent jobs work. run it and inspect every 10s to see if still running or finished. see how to detect end state


**Continuing with the task**

I need to acknowledge the situation and continue forward. First, I should finish the removal process. Maybe I need to ask a question, but I think I'll just focus on tackling the task. I should find the portal file faster—perhaps using grep in the /var/www directory will help. Once that's done, I'll work on the subagent jobs and inspect the detection process. It seems I need to figure out how to detect the end state by checking the spawned process logs. Let’s fully remove what’s needed and then inspect the subagent implementation, starting with the nginx-enabled copy.

todo

Remove vibes and debug subagent job completion

Fully remove Vibes exposure/service/link, then investigate subagent jobs hanging by running one and polling every 10s to detect live vs finished state and determine reliable end-state signals.


Created #2: Remove vibes and debug subagent job completion (pending)

Install and expose vibes via nginx

Delegate to subagent: install/build rcarmo/vibes on ballbox-first, configure as a running service, add nginx entry and homepage link, verify end-to-end, then send Telegram notification only after everything works.


Updated #2 (pending → in_progress)

Install and expose vibes via nginx


bash

set -e
sudo cp /etc/nginx/sites-available/kiosk /etc/nginx/sites-enabled/kiosk
sudo nginx -t
sudo systemctl reload nginx
printf 'enabled grep after sync:\n'; grep -n 'location = /vibes\|location \^~ /vibes/' /etc/nginx/sites-enabled/kiosk || true
printf '\nroute check:\n'; curl -I -s http://127.0.0.1/vibes/ || true

python - <<'PY'
from pathlib import Path
for root in ['/var/www','/usr/share/nginx/html']:
    rp=Path(root)
    if not rp.exists():
        continue
    for p in rp.rglob('*.html'):
        try:
            s=p.read_text()
        except Exception:
            continue
        if 'Vibes' in s or 'href=/vibes/' in s:
            print(p)
PY


nginx: the configuration file /etc/nginx/nginx.conf syntax is ok
nginx: configuration file /etc/nginx/nginx.conf test is successful
enabled grep after sync:

route check:
HTTP/1.1 502 Bad Gateway
Server: nginx
Date: Fri, 01 May 2026 16:12:43 GMT
Content-Type: text/html
Content-Length: 150
Connection: keep-alive


**Troubleshooting proxy issues**

It seems like the 502 error could be due to a cached proxy. I’m considering if the route is missing, which might result in a 404 error, indicating a different server block issue. I should take a look at the location file to check if there’s a generic proxy in the portal. Once I identify the problem, I can edit the portal file to address the issue properly.

set -e
sudo python - <<'PY'
from pathlib import Path
p=Path('/var/www/portal/index.html')
s=p.read_text()
old='''    \n      Vibes\n      Web UI para coding agents.\n    \n'''
if old in s:
    s=s.replace(old,'')
    p.write_text(s)
    print('updated',p)
else:
    print('no exact block')
PY
printf 'root link check:\n'; curl -s http://127.0.0.1/ | grep -n '/vibes/' || true
printf '\nnginx effective refs:\n'; grep -Rni 'vibes' /etc/nginx/sites-available /etc/nginx/sites-enabled 2>/dev/null || true
printf '\nroute verbose:\n'; curl -sS http://127.0.0.1/vibes/ | head


updated /var/www/portal/index.html
root link check:

nginx effective refs:

route verbose:
<!doctype html>
<html lang=es>
<head>
  <meta charset=UTF-8 />
  <meta name=viewport content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
  <meta name=theme-color content=#07111f />
  <meta name=apple-mobile-web-app-capable content=yes />
  <meta name=apple-mobile-web-app-status-bar-style content=black-translucent />
  <meta name=apple-mobile-web-app-title content=Ballbox />
  <title>Ballbox Portal</title>


**Considering subagent processes**

I'm thinking about the route that falls through to SPA and whether adding an explicit 404 error is acceptable. The user asked to remove some things, so I'm considering if I should leave the app directory or remove it if they request. For the subagent, I might need to inspect tools and temp files, but I wonder if that might be tricky since the tool itself could block things. I could use bash for checking processes and commands related to the subagent.

**Investigating subagent tools**

I’m realizing that the tool might be platform-specific rather than a local binary, which is important to determine. I need to find end state signals from the side effects, possibly using session logs. I could start a subagent tool call, but the user might need to wait. Instead, I could inspect previous aborted runs for artifacts. My goal is to find a way to detect if processes are still running or finished, considering the possibility of using CLI commands. However, finding an alternative might be tricky since the tool isn’t available directly in bash.

**Exploring subagent accessibility**

I’m thinking that this tool is likely a platform wrapper, so it may not be accessible. I can use session logs to track when the subagent tool is called—there should be entries in the session JSONL file, and maybe a result line when it finishes. If it's hanging, there might be no result. I need to detect when the agent’s child process finishes, possibly by looking for subprocess names or temporary directories and searching for phrases like "Subagent was aborted" in the logs.

set -e
sudo rm -rf /mnt/rpi/apps/vibes
printf 'service check:\n'; systemctl status vibes.service --no-pager || true
printf '\nroot link check:\n'; curl -s http://127.0.0.1/ | grep -n '/vibes/' || true
printf '\napp dir check:\n'; ls -ld /mnt/rpi/apps/vibes || true

grep -Rni 'Subagent was aborted\|subagent' /mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-01T04-46-00-103Z_019de1db-9fa6-754c-921f-b7cc734ef350.jsonl | tail -n 40


service check:
Unit vibes.service could not be found.

root link check:

app dir check:
ls: cannot access '/mnt/rpi/apps/vibes': No such file or directory


88:{"type":"message","id":"c0098ddd","parentId":"fa20056d","timestamp":"2026-05-01T16:12:26.368Z","message":{"role":"user","content":[{"type":"text","text":"once vibes is removed focus on making subagent jobs work. run it and inspect every 10s to see if still running or finished. see how to detect end state"}],"timestamp":1777651943878}}
89:{"type":"message","id":"ddd7f5b1","parentId":"c0098ddd","timestamp":"2026-05-01T16:12:33.314Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Continuing with the task**\n\nI need to acknowledge the situation and continue forward. First, I should finish the removal process. Maybe I need to ask a question, but I think I'll just focus on tackling the task. I should find the portal file faster—perhaps using grep in the /var/www directory will help. Once that's done, I'll work on the subagent jobs and inspect the detection process. It seems I need to figure out how to detect the end state by checking the spawned process logs. Let’s fully remove what’s needed and then inspect the subagent implementation, starting with the nginx-enabled copy.","thinkingSignature":"{\"id\":\"rs_01d85e1c553e7c520169f4d0eba9348193bdf8119c6312f59f\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9NDw473ZXj5L56XeOlV-mjFwK_UBG4dPgReP7HqvLHxnuvu_vWivG1_6J-q7kzf0dxi3k8-i393Y5hd4snL-YfDEtFUxDHEOUrSDZ_o-vshv_T1S7C9jSOXV8_sekBXowl_QqYpyNejS6yes1d0yOQzxB8_bCQUzZq-yzBmqSnufuMubtVDd_sJ95FJ0TKxig72Gji9drApQoodnkMDDtAWShW_VarY58OUHs0rcsEcVrQdlD2m2K7UzdpgOvgHvopu6gLgwXcxtxxDjMiKik2isqiJISaL3Tc71nUrNe_GXomyW2zvtXZwxa66jD-sN6QfgPkXrP3vOQX5oxY22yKsnjTKMKDBXcF9-stqiQ6evypq6QHL6PxPXqvQJCSLT2_L4cQCys4FN75bJsx_-rL44o5OTOXsw2xwgWGEowafef2PCOWs3vk_Qid82h2WmNbwF9MV-nOpfkytUVdjsPQvIUrcxC8Bf-aDhbFsoJHEv-Q5MetwXlsWIXlDBprvp4UfswmsEmO6amzaDBblEylyWiR_qMDfKC8_N9hqwtv8WSqlrISBvXhsX5H9yVCtxr4PXZeOTOuSZyau_xM0-JnnNAepisdCwiC5p_Mhtf2YX4LOUxQ81OjU0yAJunxXaDxDlCQl14D6dn-1hcwTORLKVJhZeNaxyssxVVBDmDyjgWUXZsAncAHXMXt2HqSFb4gjIE23xWI2ndoi4rKqyHUiuNBHyvNT-EHymFQyG5qcngB1vYqkBPA3Pnf78-WKXAYkSUZ7lAxw8SAJzrL5JKrNzM_kDscXabjCEcNtDN0EjVQtZfjd28lniaNe99S980-mb4bsEPerHG2rhAYBIcZJ3xhAWWZXKd9XuY2I02X2CuMYMsum9tLJsC5TwRUxj_l8sEZefDGS6sFczMTPinG-1MVUR0SvxuQJPTKup8OWrOe8zKqGyEyOT90bggEeBvRs8XL3LEusAg-KiL5YnThyrW5q005bShJ_d4fC3gwWGt4kfiCQPS-YOiD6dm8keZok4ou1q_aiuNAVlJM-atqEEBYVtCvBnXxOMR6BvJ0ucD_YS7Ssr3IBRs8I4MriKbkOSW0cySOGaNkEWXV9rZGDP1W1I7t9iXWKEHQBTA-3XbwHgMMJnOcvm08TG68X3eTX6Sg1JllJ-vbUIU4sxBjbHL8kaYzEOZuC6tLoZCNF25DppyoVic4f4ahlNu32yOR80McJ9RSFdi4hiEcVwL6WDfHUKXY9yFTpU1h_j51VJYvkHRdAWzP8kAVbXP-e9lRjYPbRKq4Zs4oK4Tg6BcF81uu35ZMfvnkQIZF6gzoecj7mmcJDFYzhHyo6uMzixgpg7oqwaGp0iXO-RTtu5GB1HFpk3xFM0JMwkWaQ8mLIpD2Esq0CFgHAGibrfoQT_m-nSIjKBXgdR17CyWUwUUd4BYe1hyDEO-b2eHfmwGqB0PYmcz4Ufv81BzXRQ_shYRzxAu4p3oxyChwdGVhHTJEPkbHbKX4kGtediDYk3SoKD3vg=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Continuing with the task**\\n\\nI need to acknowledge the situation and continue forward. First, I should finish the removal process. Maybe I need to ask a question, but I think I'll just focus on tackling the task. I should find the portal file faster—perhaps using grep in the /var/www directory will help. Once that's done, I'll work on the subagent jobs and inspect the detection process. It seems I need to figure out how to detect the end state by checking the spawned process logs. Let’s fully remove what’s needed and then inspect the subagent implementation, starting with the nginx-enabled copy.\"}]}"},{"type":"toolCall","id":"call_LZrwWlviCbOfGPwfGL0wB9a8|fc_01d85e1c553e7c520169f4d0f0ed7c8193b0cf9265f4676ef6","name":"todo","arguments":{"action":"create","subject":"Remove vibes and debug subagent job completion","description":"Fully remove Vibes exposure/service/link, then investigate subagent jobs hanging by running one and polling every 10s to detect live vs finished state and determine reliable end-state signals.","activeForm":"removing vibes and debugging subagents"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":346,"output":172,"cacheRead":72192,"cacheWrite":0,"totalTokens":72710,"cost":{"input":0.0008650000000000001,"output":0.0025800000000000003,"cacheRead":0.018047999999999998,"cacheWrite":0,"total":0.021492999999999998}},"stopReason":"toolUse","timestamp":1777651946358,"responseId":"resp_01d85e1c553e7c520169f4d0eab0508193a37cea1e9879c6d3"}}
90:{"type":"message","id":"5af2b454","parentId":"ddd7f5b1","timestamp":"2026-05-01T16:12:33.315Z","message":{"role":"toolResult","toolCallId":"call_LZrwWlviCbOfGPwfGL0wB9a8|fc_01d85e1c553e7c520169f4d0f0ed7c8193b0cf9265f4676ef6","toolName":"todo","content":[{"type":"text","text":"Created #2: Remove vibes and debug subagent job completion (pending)"}],"details":{"action":"create","params":{"action":"create","subject":"Remove vibes and debug subagent job completion","description":"Fully remove Vibes exposure/service/link, then investigate subagent jobs hanging by running one and polling every 10s to detect live vs finished state and determine reliable end-state signals.","activeForm":"removing vibes and debugging subagents"},"tasks":[{"id":1,"subject":"Install and expose vibes via nginx","status":"completed","description":"Delegate to subagent: install/build rcarmo/vibes on ballbox-first, configure as a running service, add nginx entry and homepage link, verify end-to-end, then send Telegram notification only after everything works.","activeForm":"installing vibes"},{"id":2,"subject":"Remove vibes and debug subagent job completion","status":"pending","description":"Fully remove Vibes exposure/service/link, then investigate subagent jobs hanging by running one and polling every 10s to detect live vs finished state and determine reliable end-state signals.","activeForm":"removing vibes and debugging subagents"}],"nextId":3},"isError":false,"timestamp":1777651953315}}
92:{"type":"message","id":"32e6a7c1","parentId":"8d27ec1f","timestamp":"2026-05-01T16:12:36.657Z","message":{"role":"toolResult","toolCallId":"call_4ssvDnPp11seFaWUIVkCCSsm|fc_01d85e1c553e7c520169f4d0f41a288193a9b07799ce0ccfe4","toolName":"todo","content":[{"type":"text","text":"Updated #2 (pending → in_progress)"}],"details":{"action":"update","params":{"action":"update","id":2,"status":"in_progress"},"tasks":[{"id":1,"subject":"Install and expose vibes via nginx","status":"completed","description":"Delegate to subagent: install/build rcarmo/vibes on ballbox-first, configure as a running service, add nginx entry and homepage link, verify end-to-end, then send Telegram notification only after everything works.","activeForm":"installing vibes"},{"id":2,"subject":"Remove vibes and debug subagent job completion","status":"in_progress","description":"Fully remove Vibes exposure/service/link, then investigate subagent jobs hanging by running one and polling every 10s to detect live vs finished state and determine reliable end-state signals.","activeForm":"removing vibes and debugging subagents"}],"nextId":3},"isError":false,"timestamp":1777651956656}}
98:{"type":"message","id":"8181f3f6","parentId":"6d3ea81f","timestamp":"2026-05-01T16:13:03.847Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering subagent processes**\n\nI'm thinking about the route that falls through to SPA and whether adding an explicit 404 error is acceptable. The user asked to remove some things, so I'm considering if I should leave the app directory or remove it if they request. For the subagent, I might need to inspect tools and temp files, but I wonder if that might be tricky since the tool itself could block things. I could use bash for checking processes and commands related to the subagent.\n\n**Investigating subagent tools**\n\nI’m realizing that the tool might be platform-specific rather than a local binary, which is important to determine. I need to find end state signals from the side effects, possibly using session logs. I could start a subagent tool call, but the user might need to wait. Instead, I could inspect previous aborted runs for artifacts. My goal is to find a way to detect if processes are still running or finished, considering the possibility of using CLI commands. However, finding an alternative might be tricky since the tool isn’t available directly in bash.\n\n**Exploring subagent accessibility**\n\nI’m thinking that this tool is likely a platform wrapper, so it may not be accessible. I can use session logs to track when the subagent tool is called—there should be entries in the session JSONL file, and maybe a result line when it finishes. If it's hanging, there might be no result. I need to detect when the agent’s child process finishes, possibly by looking for subprocess names or temporary directories and searching for phrases like \"Subagent was aborted\" in the logs.","thinkingSignature":"{\"id\":\"rs_01d85e1c553e7c520169f4d103c89881939939c6f1b4242c71\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9NEPKAeKTtOjzGEJ_DPV_bhe7rG25Q4CohAIxX9uyzp7_R9iBiq9frbuRAZV9ajfCmc8-Vkt-OyedvXeVUaBrqZ8DqC8LL8qiSAnA4V6gRdB5MGammTkmYdBRxk_Zcz7Yqxt-InRIdNkfpyEy3mBPtlTQAnCrwAPBSltYvMbJ82vGHxMhhBS3AP1aihue1DSeLHFj50kN_9yA-9ozeOaKuzaNzPqyGatatNjs5BziYygGNc2kD8QYPK9QyeApS185R8z6QfYEcGk6hcmvEhYd5ScaY2ZB221vNzIbMirBWwvIOVN998pOKfBSqFg7wOuUVSWbqRIl20TkuPxXnJiUYm2qx2Ap3C_j3a4SaLHyxVM29Iia2xRpZRVQTiWFyLmmiu3WANdPurhBVCg1YFyF4_pAqkJ8RmZ2MU0UZV55LCLkLC_hT9d6yg5IULn-ttuTcW52timNhk6GFBxnFz74K3CjeLjtaM-L1vUIPVOAZQMbMsy6ixoYK_oA7bDzzOoNz2Rg1oG4aYVIcelaOC34M7bSq9e0WgFFxd29j1Hgty-bUzOrcc7M3UKujnmRI90qu9QauPS2ELD6carEpKssdKRXCsKG6Jhfv4luzNFvtH55kuLSvngG87_gXzol9I2rUxnEI7N7j3NeBPbhqui9qPbhZWrYFZnrO8b0JSf0jIcuFawim5m3JYYppdTR6rSuUMjlVQouo6zMGuBBcX981gofal00pJuOJbH4CLfdTKsrSRBSnDAO9pGobMlJjYtiMk6-1Q2gqOPlHndaP8XxfICttL_TBSARSk4LydUJnh-QB1toxshOTKAkh1DnBR8lunfM_Qb8vObGEtRGsK2UjgMv1dav3b8tH-cDQsgaVXnBfNsEqsAPaHaLPwTnmJkxvNKsS7Vg-fdr9nk3grAnwu9mGwYjq2kpFFtYtJOpMgUI8an9dcZ0_8P-n6WOEpL8dZvefokoVzINjl7YbCJv0e114KGFB6H7CtsfZW9wbbprgIyHrhrtnCPPwHBDlEx2rR9eAAfu7hAsqDhA4oz1IA9yknA_VEcG6bXXkaUTEdHW2AURO_37Y0O6cX6v71rSvW__5BtMi8uw3R2gFWN2gSAcqThTLaGnPm4F6ZabuVpu_DJ_MCkeozH1FE2YWQM6W3iq2eQi-UVQlz3oz84EWk5KyChpi_jghmxb_eMIW8EBZ0Z5X-zoVGp3dH37nqyC64ks6cCRnepum_jW7AQlvVttgtMyrHm1syKO5wB2Jy-Bu3tEdbGnk1pqI9KF2wNHPk9qWYBJhuCnvqFRP66IZZpeAlD80ZQOv3SFD8-u9_QPr46nlzWC9PHbHYmqLim3uXfikHWjMUAmqDwBB_uEa6gVIzIRkTHR9Wf_Owqkklx1Tc8vFRG9nb9ZNoWqgOR9vl97Xxj9DmpInJLVKofkPlql8fk_DTrcUpRlkqCUY3cVPYY9IVo8Q84Z-6dV4C86ho_tDvCY5_ZFW48H8b9qiD5umuqGfnM4-UO_XV4pPefIL5YWmtGv0_w88iRJjGOfPb1YIG85kjiV8L1iaFevqMesQW76FkktQo-dAlmz36jAnccZPyJSuX_ucP31lD8yCuJRaEiqDL4xTeTx-rOAgusm3sZzxQ-aQk-AqpS_G0T_9czIrUENx2QU2x22iQ4n0eF6WFTIvRFYixpczqYUI3OCPHC3T1FscQMA2_aOeYG9tvN6noej0HemF0kfAqfUcnTWxDGBd8Hi3MvjhruYiI1CFVC8eTY5XIWaXwUc2obxT3eGI6g4Oq-ApXMMDSWO4X75XL2VYNaGQS1Vhw55i6OIb6rIugFf-ESJl1mYNx5vyHwF5BUtkZTQHWJChIElbyzA1FjNio2EeImKIuKNzx0z4baWHpHK-61HPPow6SdR6FL2iJjMQ8REqRVCe6Q4F-YzIGzmA-QhcIMOP9lLiB0E1NhWDm56QxJ4P1QOmhE-a-TXW2Q6XmjkCU0oEunCaXjnexiFrhpYz_gkYVoFdnL4Pd-etiSXxP7YPAhDwan0NLjjszdnK6enzlgc2EEzNWGZ2XLItazor0djIBrQAn1xCzRLCbGPV2jvttRY2a75mperlV8PdatBJXPhWpfH7d0ozSF9hO2d-Py9vmtLBg95AXuJS7ZJL7IyAxVKmC_gpp6B2sQ5RMcY_KY9wOFKWLHwaYH3RlQ2LF_CpHqelCFMIBTV0nrHWCM5M3me8YQ6V9Fd-MxBi1gK-d9mu3I75H0ImLMDnIFSq8J3JzX3hF3m5-8SK_X75tkWjeaR-ehkbgljLP31dWU0iU8qPm8rwti3y8ITiyy3EbmtxgUyVawEC0viiqK40gtnw_HYXyCGi2IQNM2EUjq3SJE4wFJB9AV7Esx4_q0jTqinujev7F5Wc64FulDscd19rRLeE3q2BQizX4XMy5zOMLLHeJVYRR39xpFRaCRe6GcD-YjKmmPG5yAGRUj6CEZwe02h8mKZF5ht-8rjGdKmk-Sk9xXa_TaBWVtH93aXKllBfpQqsDKvszDaJdS1Z2fH9WRUf8YWRykVBXhT2zP0BOjDtU2QtUm7cC1fjwCdDNYE91ckgdS1e-qSRyN5TlF_9zQ4KKbCN99PObtZjq2GNVU72pwNdEbKGB6jcChJhC-xpVvh1yWq84e7Q_BGDpjF-LDdsiKnf3A8m7nKZZX3G8M5S7G_PXgiGcimD9Jw2OAcehIvtvH3Y1lqGOMzD5Rkt55tDM--2FYOAb2CclyqENIu04rThJ9Lw4_ropzA22Rr4c8iu50izxCXb48ulS4FeqwDZfdTnTILk7azbo_tsYZoiDOgnm7ftw9dTvYnag49uoofkWopTQvfhV-Q77xLIPL4cUixg6B-bHd18tbQLqIilf-UO9wtVdMSWoWTbmS7XuY0tF-LG-57poXmeEbU3xYBvpSFbRAT7VFRhQTDqRjlZYqGjaP2xbT2ZAPuH6bhskiKmw4j6Yqjvfp8tRzqmfQ_pk-vESYeSIDxcEy7XsxAKwyLWnCuzRWJbKDSOyRJDCOHIpadQvuGpdrqpb9nveg1rFEtzE_CqGXsuWd9ydq5zKsnkHJoPbAWs35VfFbtvchIbfvgda5uj1sftoUhcgOIbOwsBvP9x8H7VALGh3Ay5P4wGZF4M17rL67_W40PPZvoqG-VILhSPw2vfZHwmGY3mEoPU2qrASNTScUwxOvSyc8tIKlqszpp0D1Jd78ALBwUla-IuiTAD8bH6Oo1beSTZmeV_UZTRJtY43HPlAvbnYJcYmHAseRDzB9wTIciXrPXvHO7XZziY2uLabRkQvHKAMDPxM5kViuGNYE_jPPTpyuUtd62LsIKZY00zWLKfeQ89eDInuGWg77iwMQdB_yDsV4HTsOFN3CSmJZnhtGSo8UNIq5VKoRB5eeAhgqAbaGmWi3BjqF8gUjqUNvcb_Y2XXSyysIeAJ7ihtPOaT91Cn_u_6ZxMyJSiWXlFPc72JXzKUzgbKk_opfTeIeDkJMzPzrJ2PN9kACCWJqTbzbut48U4OL-t0QwgXeslkKQC8LvbGCfieb0dYIUD1-hkh_4y592U9_1feyFEsBlSSJonr6gUSpDlS8vKOkLaoQzxzKVGaQGnkKzM3TmGsvkn5uKGR074zmjTBrHf0g6hKuTXeQZdmEcXWMS3gbWrxmL36K2zKoHHe5KXpo1nIqFR-gKBhn54wkV_-9pOb7MxQ75nxg4Q24DXAFmCJgS8EltRj2Yl0iRtAWIDR6GnDlukt6_o4Mqys=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering subagent processes**\\n\\nI'm thinking about the route that falls through to SPA and whether adding an explicit 404 error is acceptable. The user asked to remove some things, so I'm considering if I should leave the app directory or remove it if they request. For the subagent, I might need to inspect tools and temp files, but I wonder if that might be tricky since the tool itself could block things. I could use bash for checking processes and commands related to the subagent.\"},{\"type\":\"summary_text\",\"text\":\"**Investigating subagent tools**\\n\\nI’m realizing that the tool might be platform-specific rather than a local binary, which is important to determine. I need to find end state signals from the side effects, possibly using session logs. I could start a subagent tool call, but the user might need to wait. Instead, I could inspect previous aborted runs for artifacts. My goal is to find a way to detect if processes are still running or finished, considering the possibility of using CLI commands. However, finding an alternative might be tricky since the tool isn’t available directly in bash.\"},{\"type\":\"summary_text\",\"text\":\"**Exploring subagent accessibility**\\n\\nI’m thinking that this tool is likely a platform wrapper, so it may not be accessible. I can use session logs to track when the subagent tool is called—there should be entries in the session JSONL file, and maybe a result line when it finishes. If it's hanging, there might be no result. I need to detect when the agent’s child process finishes, possibly by looking for subprocess names or temporary directories and searching for phrases like \\\"Subagent was aborted\\\" in the logs.\"}]}"},{"type":"toolCall","id":"call_4Ebe3nPtnLySrbuPwR4RniMH|fc_01d85e1c553e7c520169f4d10f8f148193995ab8f38ab67cd5","name":"bash","arguments":{"command":"set -e\nsudo rm -rf /mnt/rpi/apps/vibes\nprintf 'service check:\\n'; systemctl status vibes.service --no-pager || true\nprintf '\\nroot link check:\\n'; curl -s http://127.0.0.1/ | grep -n '/vibes/' || true\nprintf '\\napp dir check:\\n'; ls -ld /mnt/rpi/apps/vibes || true","timeout":30}},{"type":"toolCall","id":"call_tc5zxA61gufkMDBM6VY0Q0hA|fc_01d85e1c553e7c520169f4d10f8f208193a51024d6e4946802","name":"bash","arguments":{"command":"grep -Rni 'Subagent was aborted\\|subagent' /mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-01T04-46-00-103Z_019de1db-9fa6-754c-921f-b7cc734ef350.jsonl | tail -n 40","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":898,"output":646,"cacheRead":72704,"cacheWrite":0,"totalTokens":74248,"cost":{"input":0.002245,"output":0.00969,"cacheRead":0.018175999999999998,"cacheWrite":0,"total":0.030111}},"stopReason":"toolUse","timestamp":1777651970324,"responseId":"resp_01d85e1c553e7c520169f4d102b9c88193a95399666438c8bc"}}

[Showing lines 2-7 of 7 (50.0KB limit). Full output: /tmp/pi-bash-1caa7821d6ed0a53.log]


subagent

You are a terse verification subagent. Return one line only.

Run `echo subagent-ok` in /home/sebas and return the output.

bash

for i in 0 10 20 30 40 50 60; do echo "== t=${i}s =="; date; echo '-- ps relevant --'; ps -ef | grep -E '[p]i|[s]ubagent|[c]odex|[c]laude|[s]onnet' | tail -n 40; echo '-- latest session files --'; ls -1t /mnt/rpi/pi-config/sessions/--home-sebas-- | head -n 3; latest=$(ls -1t /mnt/rpi/pi-config/sessions/--home-sebas-- | head -n 1); echo "latest=$latest"; tail -n 8 "/mnt/rpi/pi-config/sessions/--home-sebas--/$latest" || true; echo; [ "$i" = 60 ] || sleep 10; done