12 lines
40 KiB
JSON
12 lines
40 KiB
JSON
{"type":"session","version":3,"id":"019f92ad-da2e-74fe-95b0-267fea0989b9","timestamp":"2026-07-24T05:51:34.958Z","cwd":"/home/liph"}
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{"type":"model_change","id":"66a8ec79","parentId":null,"timestamp":"2026-07-24T05:51:36.305Z","provider":"ollama","modelId":"kimi-k2.7-code:cloud"}
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{"type":"thinking_level_change","id":"373dc012","parentId":"66a8ec79","timestamp":"2026-07-24T05:51:36.305Z","thinkingLevel":"medium"}
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{"type":"message","id":"0107f6a2","parentId":"373dc012","timestamp":"2026-07-24T05:53:14.818Z","message":{"role":"user","content":[{"type":"text","text":"can you tell me more about the babysitter-pi extension? what can i do with it? what would be a logic usecase"}],"timestamp":1784872394559}}
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{"type":"message","id":"8e8f801e","parentId":"0107f6a2","timestamp":"2026-07-24T05:53:17.505Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The user is asking about the babysitter-pi extension. Looking at the available skills, there are many babysitter-related skills. According to the instructions, I should read the skill files when the task matches. The main help skill is at /home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/help/SKILL.md. I should read that to learn more. Also maybe the README of the package or the main docs. Since the user asks \"what can I do with it\" and \"logic usecase\", I need to provide overview. I should read the help skill and maybe explore docs. Use read tool. Also maybe ctx_index? But first read the SKILL.md.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.read:0","name":"read","arguments":{"path":"/home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/help/SKILL.md"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":15381,"output":189,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":15570,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784872394874,"responseId":"chatcmpl-411","responseModel":"kimi-k2.7-code"}}
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{"type":"message","id":"41507138","parentId":"8e8f801e","timestamp":"2026-07-24T05:53:17.513Z","message":{"role":"toolResult","toolCallId":"functions.read:0","toolName":"read","content":[{"type":"text","text":"---\nname: help\ndescription: help and documentation for babysitter command usage, processes, skills, agents, and methodologies. use this command to understand how to use babysitter effectively.\n---\n\n# help\n\n## if no arguments provided:\n\nshow this message:\n\n```\nWelcome to the Babysitter Help Center! Here you can find documentation and guidance on how to use Babysitter effectively.\n\nDocumentation: Explore our comprehensive documentation to understand Babysitter's features, processes, skills, agents, and methodologies. Read the Docs: https://github.com/a5c-ai/babysitter\n\nOr ask specific questions about commands, processes, skills, agents, methodologies, domains, specialities to get targeted help.\n\nJust type /babysitter:help followed by your question or the topic you want to learn more about.\n\n\nPRIMARY COMMANDS\n================\n\n/babysitter:call [input]\n Start a babysitter-orchestrated run. Babysitter analyzes your request, interviews you\n to gather requirements, selects or creates the best process definition (from 50+\n domain-specific processes covering science, business, engineering, and more), then\n executes it step by step with breakpoints where you can steer direction.\n\n How it works: The babysitter skill reads your input, explores the process library to\n find matching processes, interviews you to refine scope, creates an SDK run with\n run:create, and orchestrates iterations with run:iterate -- dispatching tasks,\n handling breakpoints, and posting results until the run completes or you pause it.\n\n Example: /babysitter:call migrate our Express.js REST API to Fastify, keeping all\n existing routes and middleware behavior identical, with integration tests proving\n parity\n\n\n/babysitter:resume [run id or name]\n Resume a paused or interrupted babysitter run. If you don't specify a run, babysitter\n discovers all runs under .a5c/runs/, shows their status (created, waiting, completed,\n failed), and suggests which incomplete run to pick up based on its process, pending\n effects, and last activity.\n\n How it works: Reads run metadata and journal, rebuilds state cache if stale, identifies\n pending effects (breakpoints awaiting approval, tasks needing results), and continues\n orchestration from exactly where it left off -- no work is repeated thanks to the\n replay engine.\n\n Example: /babysitter:resume\n (discovers runs and offers: \"Run abc123 is waiting on a breakpoint in the 'review\n test results' phase of your API migration -- resume this one?\")\n\n\n/babysitter:yolo [input]\n Start a babysitter run in fully autonomous mode. Identical to /call but all breakpoints\n are auto-approved and no user interaction is requested. The babysitter makes every\n decision on its own until the run completes or hits a critical failure it can't recover\n from. Best for well-understood tasks where you trust the process.\n\n How it works: Same orchestration as /call, but the process context is configured to\n skip breakpoint effects -- instead of pausing for human approval, each breakpoint\n resolves immediately with an auto-approve result.\n\n Example: /babysitter:yolo add comprehensive unit tests for all functions in\n src/utils/ using vitest with >90% branch coverage\n\n\n/babysitter:plan [input]\n Generate a detailed execution plan without running anything. Babysitter goes through\n the full interview and process selection flow, designs the process definition with\n all tasks, breakpoints, and dependencies, but stops before creating the actual SDK run.\n You get a complete plan you can review, modify, or execute later with /call.\n\n How it works: Runs the babysitter skill's planning phase only -- analyzes input,\n matches to domain processes, interviews for requirements, then outputs the process\n definition file and a human-readable execution plan showing each phase, task, and\n decision point.\n\n Example: /babysitter:plan redesign our database schema to support multi-tenancy,\n migrate existing data, and update all queries -- I want to review the plan before\n we touch anything\n\n\n/babysitter:forever [input]\n Start a babysitter run that loops indefinitely with sleep intervals. Designed for\n ongoing operational tasks: monitoring, periodic maintenance, continuous improvement,\n or recurring workflows. The process uses an infinite loop with ctx.sleepUntil() to\n pause between iterations.\n\n How it works: Creates a process definition with a while(true) loop. Each cycle performs\n the task (e.g., check metrics, process tickets, run audits), then calls ctx.sleepUntil()\n to pause for a configured interval. The run stays in \"waiting\" state during sleep and\n resumes automatically when the sleep expires on the next orchestration iteration.\n\n Example: /babysitter:forever every 4 hours, check our GitHub issues labeled \"bug\",\n attempt to reproduce and fix any that look straightforward, and submit PRs for the fixes\n\n\nSECONDARY COMMANDS\n==================\n\n/babysitter:doctor [issue]\n Run a comprehensive 10-point health check on a babysitter run. Inspects journal\n integrity (checksum verification, sequence gaps, timestamp ordering), state cache\n consistency, stuck/errored effects, stale locks, session state, log files, disk usage,\n process validation, and hook execution health. Produces a structured diagnostic report\n with PASS/WARN/FAIL status per check and specific fix commands.\n\n If no run ID is provided, automatically targets the most recent run. Can also diagnose\n environment-wide issues like missing CLI, unregistered hooks, or plugin problems.\n\n Example: /babysitter:doctor\n (checks the latest run: \"CRITICAL -- Check 5 Lock Status: FAIL -- stale lock detected,\n process 12847 is no longer running. Fix: rm .a5c/runs/abc123/run.lock\")\n\n\n/babysitter:assimilate [target]\n Convert an external methodology, AI coding harness, or specification into native\n babysitter process definitions. Takes a GitHub repo URL, harness name, or spec file\n and produces a complete process package with skills/ and agents/ directories.\n\n Two workflows available:\n - Methodology assimilation: clones the repo, learns its procedures and commands,\n converts manual flows into babysitter processes with refactored skills and agents\n - Harness integration: wires babysitter's SDK into a specific AI coding tool\n (codex, opencode, gemini-cli, antigravity, etc.) so it can orchestrate runs\n\n Example: /babysitter:assimilate https://github.com/some-org/their-deployment-playbook\n (clones the repo, analyzes their deployment procedures, and generates babysitter\n processes that replicate the same workflow with proper task definitions and breakpoints)\n\n\n/babysitter:user-install\n First-time onboarding for new babysitter users. Installs dependencies, runs an\n interactive interview about your development specialties, preferred tools, coding\n style, and how much autonomy you want babysitter to have. Builds a user profile\n stored at ~/.a5c/user-profile.json that personalizes future runs.\n\n Uses the cradle/user-install process which covers: dependency verification, user\n interview (expertise areas, preferred languages, IDE, terminal setup), profile\n generation, tool configuration, and optional global plugin installation.\n\n Example: /babysitter:user-install\n (walks you through: \"What's your primary programming language? What frameworks do\n you use most? Do you prefer babysitter to auto-approve routine tasks or always ask?\")\n\n\n/babysitter:project-install\n Onboard a new or existing project for babysitter orchestration. Researches the\n codebase (reads package.json, scans directory structure, identifies frameworks and\n patterns), interviews you about project goals and workflows, generates a project\n profile at .a5c/project-profile.json, and optionally sets up CI/CD integration.\n\n Uses the cradle/project-install process which covers: codebase analysis, project\n interview, profile creation, recommended plugin installation, hook configuration,\n and optional CI pipeline setup.\n\n Example: /babysitter:project-install\n (scans your repo: \"I see this is a Next.js 16 app with Tailwind, using vitest for\n tests and PostgreSQL. What are your main development goals for this project?\")\n\n\n/babysitter:retrospect [run id or name]\n Analyze a completed run to extract lessons and improve future runs. Reviews what\n happened (journal events, task results, timing, errors), evaluates the process that\n was followed, and suggests concrete improvements to process definitions, skills,\n and agents. Interactive -- multiple breakpoints let you steer the analysis and\n decide which improvements to implement.\n\n Covers: run result analysis, process effectiveness review, improvement suggestions,\n implementation of changes, and routing to /contrib if improvements belong in the\n shared process library.\n\n Example: /babysitter:retrospect\n (analyzes the last run: \"The API migration run completed but the 'verify parity'\n phase took 8 iterations because test assertions were too brittle. Suggestion: add\n a fuzzy comparison step before strict assertion. Implement this fix?\")\n\n\n/babysitter:blueprints [action]\n Manage Babysitter blueprints: list installed blueprints, browse marketplaces,\n install, update, configure, uninstall, or create new blueprints. Blueprints are\n version-managed instruction packages or process bundles that guide the agent\n through install, configure, and uninstall steps.\n\n Without arguments: shows installed blueprints (name, version, marketplace, dates) and\n available marketplaces. With arguments: routes to the specific action.\n\n Key actions:\n - install <name> --global|--project: fetch install.md from marketplace and execute\n - configure <name> --global|--project: fetch configure.md and walk through options\n - update <name> --global|--project: resolve migration chain via BFS and apply steps\n - uninstall <name> --global|--project: fetch uninstall.md and execute removal\n - create: scaffold a new blueprint package\n\n Example: /babysitter:blueprints install sound-hooks --project\n (fetches sound-hooks from marketplace, reads install.md, walks you through player\n detection, sound selection, hook configuration, and registers the blueprint)\n\n\n/babysitter:contrib [feedback]\n Submit feedback or contribute to the babysitter project. Routes to the appropriate\n workflow based on what you want to do:\n\n Issue-based (opens GitHub issue in a5c-ai/babysitter):\n - Bug report: describe a bug in the SDK, CLI, or process library\n - Feature request: propose a new feature or enhancement\n - Documentation question: flag undocumented behavior or missing docs\n\n PR-based (forks repo, creates branch, submits PR):\n - Bugfix: you already have a fix ready\n - Feature implementation: you've built a new feature\n - Library contribution: new or improved process/skill/agent for the library\n - Harness integration: CI/CD or IDE integration\n\n Without arguments: shows all contribution types and helps you pick the right one.\n Breakpoints are placed before all GitHub actions (fork, star, PR, issue) so you\n can review before anything is submitted.\n\n Example: /babysitter:contrib bug report: plugin:update-registry fails when the\n marketplace hasn't been cloned yet, even though the registry update doesn't need\n marketplace access\n\n\n/babysitter:observe\n Launch the babysitter observer dashboard -- a real-time web UI that monitors active\n and past runs. Displays task progress, journal events, orchestration state, and\n effect status in your browser. Useful when running /yolo or /forever to watch\n progress without interrupting the run.\n\n How it works: Runs npx @a5c-ai/babysitter-observer-dashboard@latest which watches\n the .a5c/runs/ directory (or a parent directory containing multiple projects) and\n serves a live dashboard. The process is blocking -- it runs until you stop it, and\n it prints the local URL to share with the user. Do not use `babysitter observe`\n as a fallback; the core Babysitter CLI does not expose that subcommand.\n\n Example: /babysitter:observe\n (opens browser showing all runs with live-updating task\n status, journal event stream, and effect resolution timeline)\n```\n\n## if arguments provided:\n\nif the argument is \"command [command name]\", \"process [process name]\", \"skill [skill name]\", \"agent [agent name]\", or \"methodology [methodology name]\", then show the detailed documentation for that specific command, process, skill, agent, or methodology after reading the relevant files.\n"}],"isError":false,"timestamp":1784872397513}}
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{"type":"message","id":"5fb9c452","parentId":"41507138","timestamp":"2026-07-24T05:53:19.741Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now we have the main help text. We can answer user's questions: \"can you tell me more about the babysitter-pi extension? what can i do with it? what would be a logic usecase\". We should explain it's an orchestration extension that lets pi run complex workflows via structured processes, with commands like /babysitter:call, /yolo, /plan, /resume, /forever, etc. Also mention usecases. We should be concise but informative. Maybe we can also read the project README or package docs to be accurate. But the help skill gives enough. Let's read maybe package README? The README.md in the package directory might include overview. Use fffind? Use read path if exist.","thinkingSignature":"reasoning"},{"type":"toolCall","id":"functions.read:1","name":"read","arguments":{"path":"/home/liph/.pi/agent/npm/node_modules/@a5c-ai/babysitter-pi/README.md"}}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":18200,"output":186,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":18386,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1784872397514,"responseId":"chatcmpl-408","responseModel":"kimi-k2.7-code"}}
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{"type":"message","id":"3073a6bf","parentId":"5fb9c452","timestamp":"2026-07-24T05:53:19.746Z","message":{"role":"toolResult","toolCallId":"functions.read:1","toolName":"read","content":[{"type":"text","text":"# @a5c-ai/babysitter-pi\n\nBabysitter package for the upstream `pi` coding agent.\n\nThis is a thin Pi package:\n\n- `skills/` exposes Babysitter workflows through Pi's skill system\n- `extensions/index.ts` adds lightweight slash-command aliases that forward to those skills\n- the SDK remains responsible for orchestration, runs, tasks, and state\n\n## Installation\n\nInstall the Babysitter CLI once when using the SDK helper:\n\n```bash\nnpm install -g @a5c-ai/babysitter\n```\n\nRecommended for automation:\n\n```bash\n# Global install\nbabysitter harness:install-plugin pi\n\n# Workspace install\nbabysitter harness:install-plugin pi --workspace /path/to/repo\n```\n\nNative Pi package install:\n\n```bash\npi install npm:@a5c-ai/babysitter-pi\n```\n\nVerify the package is available:\n\n```bash\nbabysitter harness:discover --json\n```\n\nProject-local:\n\n```bash\ncd /path/to/repo\npi install -l npm:@a5c-ai/babysitter-pi\n```\n\nPublished package installer:\n\n```bash\nnpx --yes @a5c-ai/babysitter-pi install --global\nnpx --yes @a5c-ai/babysitter-pi install --workspace /path/to/repo\n```\n\nRemoval:\n\n```bash\npi remove npm:@a5c-ai/babysitter-pi\n```\n\n## Using Babysitter\n\nStart Pi, then use the thin Babysitter entrypoints exposed by the package:\n\n- `/babysit` or `/babysitter`\n- `/call`\n- `/plan`\n- `/babysitter:resume`\n- `/doctor`\n- `/yolo`\n\nEach command forwards into Pi's native `/skill:<name>` flow. The orchestration\ncontract lives in the skills; the extension only provides convenient aliases.\n\n## Commands And Skills\n\nThe package mirrors the canonical Babysitter command docs and exposes the core\n`babysit` skill plus command-backed skills such as `call`, `doctor`, `plan`,\n`resume`, and `yolo`.\n\nThe extension layer is intentionally thin. It only forwards slash commands to\nPi's built-in `/skill:<name>` flow; it does not implement a custom loop driver,\ncustom tools, or direct run mutation logic.\n\n## Plugin Layout\n\n```text\nartifacts/generated-plugins/pi/\n|-- package.json\n|-- versions.json\n|-- extensions/\n| `-- index.ts\n|-- commands/\n|-- skills/\n|-- bin/\n`-- scripts/\n```\n\n## Marketplace And Distribution\n\nPi discovers this package through its native package installation flow. Publish\nnew versions to npm under `@a5c-ai/babysitter-pi`, then users can install or\nupgrade through `pi install npm:@a5c-ai/babysitter-pi`.\n\n## Upgrade And Uninstall\n\nUpgrade by reinstalling the package:\n\n```bash\npi install npm:@a5c-ai/babysitter-pi\n```\n\nRemove it with:\n\n```bash\npi remove npm:@a5c-ai/babysitter-pi\n```\n\n## Troubleshooting\n\n- Verify the harness with `babysitter harness:discover --json`.\n- If `pi` is not available, check `where pi` on Windows or `which pi` on Unix.\n- If commands do not appear, restart Pi after installation so it reloads package metadata.\n- If the wrong SDK version is used, inspect `versions.json` inside the installed package root.\n- Regenerate mirrored commands and command-backed skills with `npm run sync:commands`.\n\n## Tests\n\n```bash\ncd artifacts/generated-plugins/pi\nnpm test\n```\n\n## License\n\nMIT\n"}],"isError":false,"timestamp":1784872399746}}
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{"type":"message","id":"fb662bc2","parentId":"3073a6bf","timestamp":"2026-07-24T05:53:26.965Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now we have enough. Let's craft an answer. The user asks \"can you tell me more about the babysitter-pi extension? what can i do with it? what would be a logic usecase\". We can say it's a Pi package that adds Babysitter orchestration to pi coding agent, exposing slash commands. It turns a one-off chat into structured multi-step workflows with tasks, breakpoints, resume, autonomous mode. Mention commands and use cases. Need not ask follow-up questions; answer directly. Should mention that it's installed globally or project-local, and commands. Provide logical use case examples: complex migrations, adding tests, refactoring, ongoing monitoring, etc. Also mention the /babysitter:observe dashboard. Keep concise. No need to reference files unless helpful.","thinkingSignature":"reasoning"},{"type":"text","text":"`babysitter-pi` is a Pi package that layers the **Babysitter** workflow engine on top of Pi. In plain terms: it turns a single chat request into a structured, multi-step “run” that can plan, execute, pause for your input, resume, and even run autonomously.\n\n## What it adds to Pi\n\nThe package exposes Babysitter as Pi slash commands, e.g.:\n\n- `/babysitter` or `/babysit` – general orchestration entrypoint\n- `/babysitter:call <task>` – start a structured run; Babysitter interviews you, picks/creates a process, then executes it step by step with breakpoints where you can steer\n- `/babysitter:yolo <task>` – same as `/call`, but auto-approves every breakpoint and runs fully unattended\n- `/babysitter:plan <task>` – creates the full execution plan and process definition without actually running it\n- `/babysitter:resume` – pick up a paused/interrupted run exactly where it left off\n- `/babysitter:forever <task>` – long-running/looping run (e.g., monitor, audit, or maintain something on a schedule)\n- `/babysitter:doctor` – diagnose run health, locks, journal integrity, etc.\n- `/babysitter:observe` – open a live web dashboard of active and past runs\n\n## What you can do with it\n\nInstead of asking Pi for one code change at a time, you can hand Babysitter a higher-level goal and let it break it into phases, track state, handle failures, and ask you for decisions at the right moments.\n\nGood fits:\n\n- **Complex refactoring** – “migrate our Express REST API to Fastify and prove parity with integration tests”\n- **Test coverage campaigns** – “add Vitest unit tests for everything in `src/utils/` with >90% branch coverage”\n- **Schema/data migrations** – “redesign our database schema for multi-tenancy, migrate data, and update all queries”\n- **Repeatable maintenance** – “every 4 hours, scan GitHub bugs labeled `good-first-issue`, reproduce, and open PRs for the easy ones”\n- **Review/plan before touching code** – use `/plan` to produce a detailed plan you approve before `/call` executes it\n- **Autonomous overnight work** – use `/yolo` for well-understood tasks you trust to run unattended\n\n## A logical use case\n\nSuppose you have a mid-size Node.js service and want to switch from Express to Fastify without breaking behavior.\n\nWith regular Pi, you’d likely do this interactively, file by file. \nWith Babysitter:\n\n```text\n/babysitter:call migrate our Express.js REST API to Fastify,\nkeeping all existing routes and middleware behavior identical,\nwith integration tests proving parity\n```\n\nBabysitter would:\n\n1. Interview you about scope, dependencies, and test setup\n2. Select or build a migration process definition\n3. Execute phases like: inventory routes → rewrite adapters → migrate middleware → run tests → fix regressions → verify parity\n4. Pause at breakpoints (“I’m about to refactor `authMiddleware.js` — approve?”)\n5. Save state, so `/babysitter:resume` continues if you stop or the session ends\n\nThat makes it useful for any task that’s too big or too risky to complete in one chat turn, but where you still want a human in the loop."}],"api":"openai-completions","provider":"ollama","model":"kimi-k2.7-code:cloud","usage":{"input":19164,"output":887,"cacheRead":0,"cacheWrite":0,"reasoning":0,"totalTokens":20051,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1784872399747,"responseId":"chatcmpl-759","responseModel":"kimi-k2.7-code"}}
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{"type":"custom_message","customType":"subagent-slash-result","content":"what does the babysitter-pi extension do?","display":true,"details":{"requestId":"466a75ba-4d52-49e7-a1b2-48d9306600c4","result":{"content":[{"type":"text","text":"what does the babysitter-pi extension do?"}],"details":{"mode":"single","results":[{"agent":"ollama-explain","task":"what does the babysitter-pi extension do?","exitCode":0,"messages":[],"usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"cost":0,"turns":0},"progress":{"agent":"ollama-explain","status":"running","task":"what does the babysitter-pi extension do?","recentTools":[],"recentOutput":[],"toolCount":0,"tokens":0,"durationMs":0}}],"progress":[{"agent":"ollama-explain","status":"running","task":"what does the babysitter-pi extension do?","recentTools":[],"recentOutput":[],"toolCount":0,"tokens":0,"durationMs":0}]}}},"id":"12ee1f8b","parentId":"fb662bc2","timestamp":"2026-07-24T05:56:07.370Z"}
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{"type":"custom_message","customType":"subagent-slash-result","content":"## Subagent result\n\nThe `@a5c-ai/babysitter-pi` extension is an orchestration plugin for the Pi coding agent. It wraps the external **Babysitter SDK** and exposes its multi-step workflow engine through Pi's native skill system and slash commands.\n\n**What it does**\n- Turns one-off chat requests into structured, process-driven runs with event-sourced state management (`run:create`, `run:iterate`, `journal/` logs, `state/` caches).\n- Supports human-in-the-loop approval via breakpoint effects, plus fully autonomous mode.\n- Provides a library of 50+ domain-specific processes (science, business, engineering, etc.).\n\n**Key components**\n- `extensions/index.ts` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/extensions/index.ts`): registers slash commands (`/babysit`, `/call`, `/plan`, `/yolo`, `/doctor`, `/resume`, etc.) and forwards them to Pi's `/skill:<name>` flow. It also hooks into `session_start` and `agent_end` events to proxy lifecycle calls to the Babysitter SDK.\n- `skills/` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/`): contains skill definitions (`babysit`, `call`, `help`, `doctor`, `plan`, `yolo`, `resume`, etc.) that describe how Pi should execute orchestration tasks.\n- `AGENTS.md` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/AGENTS.md`): the behavioral contract for agents — defines the iteration loop, effect types (`agent`, `skill`, `shell`, `breakpoint`, `sleep`), result posting rules, and run directory layout under `.a5c/runs/<RUN_ID>/`.\n\n**Data flow**\n1. User types `/babysitter:call migrate our API...`\n2. Extension forwards to `/skill:babysit`\n3. Skill invokes the Babysitter SDK CLI (`babysitter run:create`, `run:iterate`)\n4. SDK replays resolved effects, returns pending effects\n5. Pi executes each pending effect (e.g., runs a shell command, invokes a sub-agent, or prompts the user at a breakpoint)\n6. Results are posted back to the SDK via the plugin bridge\n7. The `agent_end` hook auto-continues the loop until the run completes or pauses\n\n**Edge cases / residuals**\n- The extension is intentionally thin; all orchestration logic lives in the external `@a5c-ai/babysitter-sdk`. If the SDK is missing, stale, or version-mismatched, the commands fail.\n- During an active run, the plugin intercepts built-in Pi task/todo tools and reroutes them through Babysitter's effect system, which can interfere with normal Pi task tracking.\n- The stop hook is best-effort — failures are silently swallowed, which could mask stuck runs or stale locks.\n\n## Child session exports\n\n- `/home/liph/.pi/agent/sessions/--home-liph--/2026-07-24T05-51-34-958Z_019f92ad-da2e-74fe-95b0-267fea0989b9/9b507236/run-0/session.jsonl`\n\n## Artifact outputs\n\n- `/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_output.md`","display":false,"details":{"requestId":"466a75ba-4d52-49e7-a1b2-48d9306600c4","result":{"content":[{"type":"text","text":"The `@a5c-ai/babysitter-pi` extension is an orchestration plugin for the Pi coding agent. It wraps the external **Babysitter SDK** and exposes its multi-step workflow engine through Pi's native skill system and slash commands.\n\n**What it does**\n- Turns one-off chat requests into structured, process-driven runs with event-sourced state management (`run:create`, `run:iterate`, `journal/` logs, `state/` caches).\n- Supports human-in-the-loop approval via breakpoint effects, plus fully autonomous mode.\n- Provides a library of 50+ domain-specific processes (science, business, engineering, etc.).\n\n**Key components**\n- `extensions/index.ts` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/extensions/index.ts`): registers slash commands (`/babysit`, `/call`, `/plan`, `/yolo`, `/doctor`, `/resume`, etc.) and forwards them to Pi's `/skill:<name>` flow. It also hooks into `session_start` and `agent_end` events to proxy lifecycle calls to the Babysitter SDK.\n- `skills/` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/`): contains skill definitions (`babysit`, `call`, `help`, `doctor`, `plan`, `yolo`, `resume`, etc.) that describe how Pi should execute orchestration tasks.\n- `AGENTS.md` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/AGENTS.md`): the behavioral contract for agents — defines the iteration loop, effect types (`agent`, `skill`, `shell`, `breakpoint`, `sleep`), result posting rules, and run directory layout under `.a5c/runs/<RUN_ID>/`.\n\n**Data flow**\n1. User types `/babysitter:call migrate our API...`\n2. Extension forwards to `/skill:babysit`\n3. Skill invokes the Babysitter SDK CLI (`babysitter run:create`, `run:iterate`)\n4. SDK replays resolved effects, returns pending effects\n5. Pi executes each pending effect (e.g., runs a shell command, invokes a sub-agent, or prompts the user at a breakpoint)\n6. Results are posted back to the SDK via the plugin bridge\n7. The `agent_end` hook auto-continues the loop until the run completes or pauses\n\n**Edge cases / residuals**\n- The extension is intentionally thin; all orchestration logic lives in the external `@a5c-ai/babysitter-sdk`. If the SDK is missing, stale, or version-mismatched, the commands fail.\n- During an active run, the plugin intercepts built-in Pi task/todo tools and reroutes them through Babysitter's effect system, which can interfere with normal Pi task tracking.\n- The stop hook is best-effort — failures are silently swallowed, which could mask stuck runs or stale locks."}],"details":{"mode":"single","runId":"9b507236","results":[{"agent":"ollama-explain","task":"what does the babysitter-pi extension do?","exitCode":0,"usage":{"input":96462,"output":2219,"cacheRead":0,"cacheWrite":0,"cost":0,"turns":10},"model":"ollama/kimi-k2.6:cloud:medium","artifactPaths":{"inputPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_input.md","outputPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_output.md","jsonlPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0.jsonl","transcriptPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_transcript.jsonl","metadataPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_meta.json"},"transcriptPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_transcript.jsonl","progressSummary":{"toolCount":20,"tokens":98681,"durationMs":53965},"outputMode":"inline","finalOutput":"The `@a5c-ai/babysitter-pi` extension is an orchestration plugin for the Pi coding agent. It wraps the external **Babysitter SDK** and exposes its multi-step workflow engine through Pi's native skill system and slash commands.\n\n**What it does**\n- Turns one-off chat requests into structured, process-driven runs with event-sourced state management (`run:create`, `run:iterate`, `journal/` logs, `state/` caches).\n- Supports human-in-the-loop approval via breakpoint effects, plus fully autonomous mode.\n- Provides a library of 50+ domain-specific processes (science, business, engineering, etc.).\n\n**Key components**\n- `extensions/index.ts` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/extensions/index.ts`): registers slash commands (`/babysit`, `/call`, `/plan`, `/yolo`, `/doctor`, `/resume`, etc.) and forwards them to Pi's `/skill:<name>` flow. It also hooks into `session_start` and `agent_end` events to proxy lifecycle calls to the Babysitter SDK.\n- `skills/` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/`): contains skill definitions (`babysit`, `call`, `help`, `doctor`, `plan`, `yolo`, `resume`, etc.) that describe how Pi should execute orchestration tasks.\n- `AGENTS.md` (`dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/AGENTS.md`): the behavioral contract for agents — defines the iteration loop, effect types (`agent`, `skill`, `shell`, `breakpoint`, `sleep`), result posting rules, and run directory layout under `.a5c/runs/<RUN_ID>/`.\n\n**Data flow**\n1. User types `/babysitter:call migrate our API...`\n2. Extension forwards to `/skill:babysit`\n3. Skill invokes the Babysitter SDK CLI (`babysitter run:create`, `run:iterate`)\n4. SDK replays resolved effects, returns pending effects\n5. Pi executes each pending effect (e.g., runs a shell command, invokes a sub-agent, or prompts the user at a breakpoint)\n6. Results are posted back to the SDK via the plugin bridge\n7. The `agent_end` hook auto-continues the loop until the run completes or pauses\n\n**Edge cases / residuals**\n- The extension is intentionally thin; all orchestration logic lives in the external `@a5c-ai/babysitter-sdk`. If the SDK is missing, stale, or version-mismatched, the commands fail.\n- During an active run, the plugin intercepts built-in Pi task/todo tools and reroutes them through Babysitter's effect system, which can interfere with normal Pi task tracking.\n- The stop hook is best-effort — failures are silently swallowed, which could mask stuck runs or stale locks.","attemptedModels":["ollama/kimi-k2.6:cloud:medium"],"modelAttempts":[{"model":"ollama/kimi-k2.6:cloud:medium","success":true,"exitCode":0,"usage":{"input":96462,"output":2219,"cacheRead":0,"cacheWrite":0,"cost":0,"turns":10}}],"sessionFile":"/home/liph/.pi/agent/sessions/--home-liph--/2026-07-24T05-51-34-958Z_019f92ad-da2e-74fe-95b0-267fea0989b9/9b507236/run-0/session.jsonl","acceptance":{"status":"attested","explicit":false,"effectiveAcceptance":{"level":"attested","explicit":false,"inferredReason":["default lightweight attestation"],"criteria":[{"id":"criterion-1","must":"Return a concise result and residual risks when applicable","evidence":["manual-notes","residual-risks"],"severity":"required"}],"evidence":["manual-notes","residual-risks"],"verify":[],"stopRules":[]},"inferredReason":["default lightweight attestation"],"criteria":[{"id":"criterion-1","must":"Return a concise result and residual risks when applicable","evidence":["manual-notes","residual-risks"],"severity":"required"}],"runtimeChecks":[],"verifyRuns":[],"childReport":{"criteriaSatisfied":[{"id":"criterion-1","status":"satisfied","evidence":"Researched README.md, package.json, AGENTS.md, extensions/index.ts, and skills/babysit|call|help/SKILL.md to determine the extension's purpose, commands, data flow, and risks."}],"changedFiles":[],"testsAddedOrUpdated":[],"commandsRun":[],"validationOutput":["Manual inspection of installed package at dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/"],"residualRisks":["Dependency on external @a5c-ai/babysitter-sdk CLI; version mismatch could break orchestration","Active runs intercept Pi's native task/todo tools, potentially interfering with normal task tracking","Best-effort stop-hook silently swallows failures, which may mask stuck runs or stale locks","No custom loop driver or direct run mutation in the extension itself — all heavy logic is delegated to the SDK"],"noStagedFiles":true,"diffSummary":"No files modified; this was a read-only research task","reviewFindings":["no blockers"],"manualNotes":"The babysitter-pi extension is essentially a thin adapter layer. Its real complexity lives in the external Babysitter SDK and the process definitions it loads. Users must have the SDK installed globally for commands to work."}},"toolCalls":[{"text":"find {\"pattern\":\"**/*babysitter*\"}","expandedText":"find {\"pattern\":\"**/*babysitter*\"}"},{"text":"find {\"pattern\":\"**/*babysitter*\"}","expandedText":"find {\"pattern\":\"**/*babysitter*\"}"},{"text":"ls {\"path\":\".\"}","expandedText":"ls {\"path\":\".\"}"},{"text":"grep {\"pattern\":\"babysitter\",\"path\":\".\"}","expandedText":"grep {\"pattern\":\"babysitter\",\"path\":\".\"}"},{"text":"ls {\"path\":\"code\"}","expandedText":"ls {\"path\":\"code\"}"},{"text":"grep {\"pattern\":\"babysitter-pi\",\"path\":\".\"}","expandedText":"grep {\"pattern\":\"babysitter-pi\",\"path\":\".\"}"},{"text":"grep {\"pattern\":\"babysitter\",\"path\":\"dotfiles...","expandedText":"grep {\"pattern\":\"babysitter\",\"path\":\"dotfiles\"}"},{"text":"grep {\"pattern\":\"babysitter\",\"path\":\".config\"...","expandedText":"grep {\"pattern\":\"babysitter\",\"path\":\".config\"}"},{"text":"grep {\"pattern\":\"babysitter\",\"path\":\".local\"}","expandedText":"grep {\"pattern\":\"babysitter\",\"path\":\".local\"}"},{"text":"find {\"pattern\":\"**/@a5c-ai/babysitter-pi/**\"...","expandedText":"find {\"pattern\":\"**/@a5c-ai/babysitter-pi/**\"}"},{"text":"ls {\"path\":\"dotfiles/pi/.pi_1/agent/npm/nod...","expandedText":"ls {\"path\":\"dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai\"}"},{"text":"ls {\"path\":\"dotfiles/pi/.pi_1/agent/npm/nod...","expandedText":"ls {\"path\":\"dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi\"}"},{"text":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/README.md","expandedText":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/README.md"},{"text":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/package.json","expandedText":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/package.json"},{"text":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/AGENTS.md","expandedText":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/AGENTS.md"},{"text":"ls {\"path\":\"dotfiles/pi/.pi_1/agent/npm/nod...","expandedText":"ls {\"path\":\"dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills\"}"},{"text":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/extensions/index.ts","expandedText":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/extensions/index.ts"},{"text":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/babysit/SKILL.md","expandedText":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/babysit/SKILL.md"},{"text":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/call/SKILL.md","expandedText":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/call/SKILL.md"},{"text":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/help/SKILL.md","expandedText":"read dotfiles/pi/.pi_1/agent/npm/node_modules/@a5c-ai/babysitter-pi/skills/help/SKILL.md"}]}],"artifacts":{"dir":"/home/liph/.pi-subagents/artifacts","files":[{"inputPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_input.md","outputPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_output.md","jsonlPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0.jsonl","transcriptPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_transcript.jsonl","metadataPath":"/home/liph/.pi-subagents/artifacts/9b507236_ollama-explain_0_meta.json"}]},"totalChildUsage":{"input":96462,"output":2219,"cacheRead":0,"cacheWrite":0,"cost":0,"turns":10},"totalCost":{"inputTokens":96462,"outputTokens":2219,"costUsd":0}}}},"id":"61f22cfd","parentId":"12ee1f8b","timestamp":"2026-07-24T05:57:01.869Z"}
|