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README technical reference

This reference preserves detailed installation, configuration, ODD, runtime, and contributor material previously carried by the README. Start with the README for the product overview; use this document when you need operational detail. Historical compatibility and authority passages remain reference material, not newly endorsed operator instructions.

Organic Driven Development

Organic Driven Development (ODD) keeps explore → implement → proportionate checks as the development workflow. For large authorized implementation (its resume test fails), the parent automatically tracks feature progress after exploration, without asking for task-tracking or storage permission. Small, understood work creates no durable task artifact; investigation and proposal-only work stay read-only.

The ODD protocol

ODD runs on every request, without the user asking for a workflow, a plan, or task tracking.

  1. Authorize — read-only unless implementation is authorized; ask one clarification when intent is ambiguous.
  2. Explore — read existing code and requirements first, proportionately to the request.
  3. Resolve uncertainty — optional research or one focused product question only for a real unresolved decision.
  4. Classify — by the Task Size section: small when understood, risk is contained, and the work could be resumed from the request plus git diff; large only when that resume test fails. Counts never classify.
  5. Track before the first write — create the feature document and Engram mirror automatically for large work, and tell the user in one line.
  6. Implement task by task — route each task through the smallest safe workflow, with configured TDD and applicable checks. Every task closes with at least one work-unit commit on the feature branch (branch first when on the default branch), with tests and docs alongside the behavior, using a Conventional Commit message; the feature document records the commit identity as evidence.
  7. Close — report the verified outcome, failed/pending checks, and the next step. The native review candidate is a work-unit commit or a PR slice, never a TODO checkbox and never the accumulated feature branch.
  • One feature document: odd/tasks/<feature-name>.md holds objective, problem, why, scope, constraints, actionable checklist with stable IDs and acceptance criteria, verification evidence, progress, and next step. Project-scoped Engram topic odd/<feature-name>/tasks mirrors the full document and repository-relative locator. Keep concise rationale for meaningful accepted changes here, not a separate plan or exhaustive journal. Accepted user, review, or verification changes update intent and tasks together; preserve valid completed work, add new tasks or reopen invalidated items with reasons. Findings alone do not authorize expansion or acceptance. Routine corrections stay with their tasks; checkoffs require observed proof.
  • Recovery: write local progress first and read back both copies; writes are not atomic. Unavailable Engram leaves an explicit pending mirror, not invented success or a block on unrelated safe work. Before implementation or resume, the parent reads full feature memory and the actual task file, reconciles code and evidence, and preserves conflicting versions. Pass the locator and relevant context; workers read the document before edits. The existing Todo UI is a projection, not another authority.
  • Task size: about 400 authored changed lines (additions plus deletions) is advisory only, not a cap, acceptance criterion, automatic stop, forced split, or RDD trigger. Keep coherent behavior with tests and docs, explain natural overages, and continue under existing PR policy. Forward this instruction to workers; never remove whitespace, comments, or tests, minify, invent abstractions, or split artificially for cosmetic savings.
  • Delegation boundary: the parent delegates a writer for tracked tasks only for a reason (parallel units or context), never for size, file count, or a price ratio, and a second direct path alone is not a runtime refusal. The runtime cannot infer whether an edit is mechanical from write history. Validate consequential premises before building, reuse relevant sibling findings, run focused checks while iterating, then the applicable full suite at closure. This is effort guidance, not a hard token or line budget.
  • Research: optional research addresses a named uncertainty. Establish problem, intended outcome, constraints, and current evidence; inspect code and adapt depth to consequence, not fixed questionnaires or rounds. The parent asks one focused product question only when needed, then waits; workers return gaps. Use available authorized documentation/web tools, prefer primary sources, and attribute claims to URLs/code locations. Distinguish facts, assumptions, contradictions, freshness, and gaps; return a recommendation, tradeoffs, open questions, and implementation implications. Forward these instructions to a fresh general worker. Unavailable evidence pauses only unsafe dependent decisions. Research stays read-only; a brief proposal is needed only for a real decision.
  • Assumptions: at most one scoped independent read-only challenge for a high-consequence unproven premise, including a small security-critical change. Deterministic failures need fixes, not debate. Native RDD claims stay with its refuter.
  • TDD: resolve on/off from existing project/session configuration or explicit user choice; retain source and exact runner in the feature document when present and forward all three on every implementation delegation, refreshing on resume. Test presence does not enable TDD. Enabled requires observed RED before implementation → GREEN → REFACTOR; disabled still requires ordinary functional checks. Unknown/conflicting mode or a missing runner needs only the clarification affecting the next action, never invented precedence or commands.
  • Checks: functional checks run per task; a TODO checkbox never triggers a review cycle. The native review candidate is a work-unit commit or a PR slice, never a TODO checkbox and never the accumulated feature branch. After each work-unit commit, when RDD is enabled, assess it with gentle_review {"operation":"assess"} and {"baseRef":"<last reviewed boundary>","committedOnly":true}. Passive or low stays silent and the boundary advances. High, or an unavailable or failed assessment, reviews the commit itself right away at that base. Medium defers to the PR slice, the commits accumulated since the last reviewed boundary, bounded by the delivery budget of about 400 authored changed lines, and reviews at slice close. The first boundary is the branch point, and every reviewed boundary becomes the next base. Record the assessed tier and outcome per task: granted, declined, passive, deferred to slice, or unavailable. Existing risk, consent, and authority stay unchanged; never infer low risk from a failed assessment. Never skip an existing delivery gate.
  • Delivery: at feature-document creation, forecast authored changed lines (additions plus deletions, generated files excluded) from the task list, and keep a running count from work-unit commits. Choose one delivery strategy per feature: ask-on-risk (default), auto-chain, single-pr, or exception-ok. When the forecast or running count exceeds about 400 authored changed lines, apply the chosen strategy before the next commit. ask-on-risk asks once using the ordered oversized-delivery menu; auto-chain asks only for a missing chain strategy and slices automatically with a cached choice. When either chaining path needs a choice, offer exactly these three semantic outcomes:
  1. Feature/tracker branch chain — chain_strategy=feature-branch-chain; integrate the feature after reviewing child slices.
  2. Verified default/main branch chain — chain_strategy=stacked-to-main; land slices in order on the verified destination default branch, not an assumed name.
  3. One single PR — least recommended — delivery_strategy=single-pr; review the entire oversized change together.

Generate the complete user-facing question and every option label, description, and recommendation marker in the active user's conversation language (English for an English user, Spanish for a Spanish user, etc.). Machine strategy tokens remain unchanged and untranslated. These English examples are illustrative and localizable, not mandatory copy.

The third choice overrides the pending chaining path: clear the chain choice as inapplicable and suppress later chain prompts. single-pr is not a chain_strategy token; do not automatically select exception-ok. Least recommended is scoped to the oversized menu: larger single PRs increase reviewer load, slow feedback, and couple rollback. A focused ≤400-line single PR remains reasonable. Follow the destination repository's documented contribution/size policy; size:exception is a Gentle-owned repository policy, not a universal label requirement. Do not request or add it for generic users unless the destination policy uses it; keep applicable maintainer acceptance and protected-label authorization gates. Single-PR output requires no tracker, child dependency diagram, or Chain Context. Choosing shape does not authorize push, PR creation, merge, or review-mode/consent changes. Cache both choices, and record slice boundaries (which commits each PR holds) in the feature document for chains, or the whole-PR scope for single PR. Resolve the work-unit-commits and chained-pr skills by registry name before planning or creating any PR.

flowchart TD
    A[Request] --> B{Implementation authorized?}
    B -->|No| C[Read-only exploration; no task artifacts]
    B -->|Yes| D[Explore existing code and requirements]
    D --> E{Named uncertainty and research selected?}
    E -->|Yes| F[Adaptive read-only research with existing workers]
    E -->|No| G[Resolve real product decisions only]
    F --> G
    G --> H{High-consequence unproven premise?}
    H -->|Yes| I[One independent assumption challenge]
    H -->|No| J{Substantial work?}
    I --> J
    J -->|Yes| K[One feature document and full Engram mirror]
    J -->|No| L[Small work without durable tasks]
    K --> TC[Resolve configured TDD, source and runner]
    L --> TC
    TC --> M[Implement next authorized task]
    M --> N[Applicable functional checks]
    N --> O[Record truthful results; update tracked intent, tasks and mirror]
    O --> OC[Close task with a work-unit commit]
    OC --> P{Authorized work remains?}
    P -->|Yes| M
    P -->|No| Q{RDD enabled at work-unit commit boundary?}
    Q -->|No| R[Ordinary checks and policy]
    Q -->|Yes| S{Native candidate risk per commit}
    S -->|Passive or low| T[Silent structural checks; boundary advances]
    S -->|Medium| U{Existing candidate consent for PR slice}
    S -->|High or unavailable| V[Review the commit now at that base]
    U -->|Granted| W[Native review plan and authority]
    U -->|Declined| R
    V --> X[Existing delivery gates]
    W --> X
    T --> X
    R --> X
    X --> AG{Running authored lines over 400?}
    AG -->|Yes| AH{Apply selected delivery strategy}
    AG -->|No| Y[Deliver]
    AH -->|Chain selected| CH[Chained PR slice]
    AH -->|Single PR selected| SP[Single PR; no chain artifacts]
    CH --> DP[Destination policy and existing authorization gates]
    SP --> DP
    DP --> Y
    Z[Resume] --> AA[Full feature memory and actual task file]
    AA --> AB[Reconcile requirements, code, proof and conflicts]
    AB --> TC
Loading

This is guidance through existing tools, not a new CLI, phase, state engine, or execution harness. Static prompt tests and scripted hook checks prove instruction delivery, not autonomous model adherence; actual create/update/resume behavior requires observed Pi sessions.

Herdr active-work summary

Under Herdr, root interactive Pi sessions publish only the in_progress Todo title, prefixed with ◐. No phase, working/verifying label or tool fallback is used; prompts, tool arguments, output and Todo notes never supply text. Missing, invalid or empty active titles clear the display. Children, RPC/print modes and missing Herdr/socket contexts do not publish. The packaged extension loads through gentle-shell, including its isolated home; loading does not change your config.

Herdr 0.8.2/protocol 20 needs two separate rows, not a newline inside a token: add ['$summary'], ['$summary2'] to the Agents sidebar rows in your config. The first row is ◐ title; the extension prefixes the optional continuation with two spaces, though Herdr may normalize leading whitespace. Text wraps by display cells, preferring word boundaries unless a grapheme-safe word split avoids unnecessary truncation across the two rows. Ellipsis appears only on the last overflowing row, or on an extremely narrow first row. Each token is capped at 80 Unicode scalar characters, including icon, spaces and ellipsis, before Herdr normalizes it; both tokens together are capped at 256 UTF-8 bytes (excluding private newline framing). ANSI/bidi controls are removed while emoji ZWJ sequences are preserved. Pathological oversized graphemes may be replaced by an ellipsis.

Width comes from root sidebar_width in session.json beside HERDR_SOCKET_PATH, less five columns for divider, possible scrollbar and the detail-row prefix. Snapshots are bounded to 256 KiB and cached for five seconds while active; persisted width can itself lag resize by five seconds. This is not live geometry. Missing, malformed, oversized or unsupported snapshots fall back to 24 available columns; other layouts may need manual adjustment. No CLI/socket query measures width.

Source gentle:activity owns only summary/summary2, not lifecycle. Updates are latest-only, serialized and best-effort offline, with a 30-second TTL refreshed every 10 seconds while active. Each report clears an unused second row; idle, session changes and shutdown clear both. TTL expiry covers abrupt exits. The managed Herdr bridge remains lifecycle authority. Reports invoke HERDR_BIN_PATH when supplied, otherwise herdr from PATH, without a shell.

Navigation

Capability reference

Capability What it does
el Gentleman persona Makes Pi behave like a senior architect and teacher, not a generic chatbot. Spanish responses use Rioplatense voseo by default; neutral mode is saved globally with project overrides.
Configurable startup intro Adds a rose/text-logo startup intro, compact runtime panel, color presets, and commands to hide or show the decorative parts.
Work routing discipline ODD keeps small tasks inline and delegates context-heavy work.
Subagent orchestration Keeps one parent session responsible while child agents explore, implement, test, or review with focused context.
Strict TDD support TDD mode, source, and runner come from configuration or explicit choice in ODD. Enabled TDD requires observed evidence; a test command alone does not enable it.
Closed choice prompts Per-option hover/click/wheel in fullscreen; keyboard selection in either TUI mode.
Native pointer regions Compose hover, press, click, and wheel behavior around public TUI components.
Agent overlay close control Adds a header close button that adapts to available width.
Reviewer protection Surfaces review workload risk before a task turns into an oversized PR.
Per-agent model assignment Pi-native modal for assigning stronger or cheaper models to packaged and custom agents.
Skill discovery registry Maintains .atl/skill-registry.md from project and user skills so review/comment/PR workflows do not silently miss the right skill.
Skill creation workflow Provides the gentle-ai-skill-creator/gentle-ai-skill-improver skills, /skill-creation prompt, and packaged style guide for LLM-first skills.
Delivery skills Includes issue-first PRs, chained PRs, work-unit commits, cognitive docs, comment writing, and Judgment Day review.
Bounded native review Freezes one candidate, dispatches only controller-selected lenses, and records native authority. Review outcomes are informational; delivery follows ordinary repository policy.
Verified native runtime The current source checkout provisions the exact package-local Gentle AI v4.0.0 runtime: signed, SHA-256-pinned release archives on Darwin/Linux and a Go SumDB-verified source build on Windows x64/arm64. It validates package-local integrity and rejects PATH, global, sibling, symlink, and mode fallbacks.
Runtime safety Blocks destructive shell commands, asks for confirmation for sensitive operations, and blocks direct read/write/edit access to sensitive paths.

Audio notifications

Audio is off by default. /gentle:customize → Notifications shows audio controls directly in the same customization modal, separate from visual settings and profiles: global enable/disable, three independent type groups (Success, Error, Attention) that each own a builtin tone or a validated absolute local WAV, per-event exceptions folded behind Advanced, explicit preview, and process mute/resume. Enter cycles a type/event sound; f edits its local WAV path inline and p previews it. Preview does not enable or save automatic audio. Invalid/unreadable configuration requires fresh explicit replacement confirmation. RPC (including interactive hosts) and children remain silent. Linux/macOS listening and manual lifecycle verification are pending; Windows audio is unavailable. See sound notifications for the complete schema, defaults, file security, retention costs and manual matrix.

Native pointer regions

Compose pointer behavior around public Text, Box, or custom content without making it a keyboard target:

const scope = createNativePointerScope();
const openInput = scope.wrap(new Text("Open input", 0, 0), {
  onClick: () => {
    openInputEditor();
    return { handled: true };
  },
});
const panel = new Container();
panel.addChild(openInput);
const observer = scope.createMouseObserver(() => tui.requestRender());

Pass observer around the root's native mouse dispatch; reuse panel as custom or overlay content. Pointer input is fullscreen-only. Regions preserve a consuming child's native result and do not focus Text, activate on press or wheel, synthesize outside leave events, or alter terminal tracking. Callers own keyboard policy, theme state, and business actions.

Bash UI tradeoff: quiet-tools leaves Bash execution and UI to Pi, preserving configured shellPath and shell prefixes. Bash no longer uses Gentle's quiet cards or direct-command lifecycle renderer; the six other quiet tool cards and codemode remain unchanged.

Migration note: Do not enable pi-tool-cards and quiet-tools together: Pi rejects duplicate read, edit, and write registrations. Disable or remove the standalone package during migration; gentle-pi does not change those package registrations or delete that repository. The global fullscreen setting described below is a separate install-time change.

Install

Two paths reach the same package. Path A stays standalone; Path B installs into an existing pi.

Path A: standalone gentle-shell (recommended, no pi changes)

npm i -g gentle-pi

# Own home, never touches your pi install
gentle-shell

# Reuse your pi sign-ins, models and chats instead
gentle-shell --link

gentle-shell alone starts in its own home, ~/.gentle-shell/agent. gentle-shell --link reuses ~/.pi/agent as-is. Run gentle-shell home link to make --link the default. Full flags, env vars, and modes: gentle-shell launcher.

Path B: inside an existing pi

pi install npm:gentle-pi

This installs the current npm release; select an explicit version if you need a reproducible pin. Restart Pi after installation, then run gentle-ai sync. Check the published releases for version-specific runtime and provider-contract pairing.

Source checkout

This checkout declares gentle-pi 4.0.0 with a package-local Gentle AI v4.0.0 pin. Checkout metadata alone is not proof of npm publication; verify the registry version and its release workflow.

Pi compatibility

The current package requires Pi 0.99.1 or newer and Node >=22.19.0. Development tests resolve Pi through the open >=1.0.0 development range. The private Vim editor adapter admits only the audited Pi 0.99.1, 0.99.2, and 1.0.0 releases; any other release keeps ordinary prompt editing until its editor is audited. Use the latest Pi release; gentle-pi does not update your installed Pi automatically. Children, including any GENTLE_PI_AGENTS_PI override, must emit agent_settled: agent_end records a run's output but is not completion because retries or queued continuations may follow.

The v2.6.0 release added persistent registered worktrees and grouped /gentle:changes views; fuller workspace interaction details are in the Gentle Shell reference. It also adds named atomic /gentle:profiles, native review intended-untracked selection and provider continuations, and opt-in custom ask responses. Pi recognizes its global Git-managed package path; subsystems install with explicit recovery guidance when npm lifecycle work was skipped. Windows keeps child consoles hidden and fixes ownership mode; Gentle Todo keeps the next pending task visible when collapsed.

Install-time fullscreen

A successful postinstall in Pi's global npm-managed agent-home/npm/node_modules/gentle-pi or exact global Pi Git-managed agent-home/git/github.com/Gentleman-Programming/gentle-pi installation persists "tuiMode": "fullscreen" in agent-home/settings.json, preserving other settings. Agent home resolves through GENTLE_PI_AGENT_HOME, then PI_CODING_AGENT_DIR, then ~/.pi/agent. Use /settings to switch back to regular; rerunning a recognized postinstall resets it to fullscreen. Existing project overrides still take precedence.

Project-local installs (pi install -l), Git installs outside that exact global Pi path, local-path installs, temporary packages, development checkouts, ordinary npm consumers, and pnpm symlink-store packages do not receive this change. Updates or installs that do not execute postinstall cannot reassert it; this is not a universal install/update guarantee or a change to historical releases.

Malformed/nonobject JSON, symlink/nonregular settings, unsafe paths, or a busy settings lock fail without replacing settings. The installer coordinates with Pi's cooperative settings lock and uses atomic replacement; it does not guarantee safety against noncooperating writers or malicious concurrent directory replacement. Already-fullscreen settings remain byte-identical. Native installation failure leaves settings untouched; GENTLE_PI_SKIP_GENTLE_AI_INSTALL=1 skips only native provisioning, not the recognized global fullscreen setting.

RDD history and opt-in

Native RDD was introduced in gentle-pi v0.15.0 on 2026-07-10 with bounded review transactions. The current stable release, v3.5.1, includes native RDD:

# Stable release
pi install npm:gentle-pi@3.5.1

RDD remains opt-in. Enable it only through an explicit user decision with /gentle:review-mode enable; status lets you inspect the mode without changing it. The .git/gentle-ai/candidate-views parent must sit on a filesystem that honors private POSIX modes (or equivalent Windows ACLs); WSL DrvFS mounts without metadata can reject START before lineage creation.

The source checkout's RDD integration installs Gentle AI only into its private .gentle-ai/ directory. Darwin and Linux use pinned release assets with asset and executable SHA-256 verification (signed archives for source pin v4.0.0; raw prerelease binaries only under a prerelease pin). Windows x64 and arm64 build the exact v4.0.0 source tag with a local Go 1.25.10+ toolchain, a sealed Go environment, GOTOOLCHAIN=local, and GOSUMDB=sum.golang.org; it does not download Go automatically. Windows provenance is Go-toolchain plus SumDB evidence and postinstall tamper detection, not Authenticode or protection against a malicious joint binary-and-manifest replacement. Package-private locks coordinate cooperative concurrent or crashed installers; their tombstones fail closed. A malicious same-user process with write access to package-private node_modules is outside that protocol because it can already replace package code, binary, or manifest, and portable Node has no pathname-delete CAS. It never uses PATH or a global gentle-ai installation. For development or offline installs only, set GENTLE_PI_SKIP_GENTLE_AI_INSTALL=1; native review operations then fail closed with an actionable package-local-binary-missing error. To recover explicitly, if GENTLE_PI_SKIP_GENTLE_AI_INSTALL is set, remove or unset it before changing to the installed gentle-pi package directory. Then run node scripts/install-gentle-ai.mjs. This invokes the package-owned installer without relying on a global binary or npm configuration change. A missing binary can result from skipped lifecycle scripts, but does not prove that lifecycle scripts were disabled.

Recommended companion packages, into the standalone gentle-shell home:

gentle-shell install npm:pi-intercom
gentle-shell install npm:gentle-engram
gentle-shell install npm:pi-web-access
gentle-shell install npm:pi-lens
gentle-shell install npm:@juicesharp/rpiv-ask-user-question

--link before the subcommand (for example gentle-shell --link install npm:pi-intercom) targets ~/.pi/agent instead of the isolated home.

Or, when gentle-pi is installed inside an existing pi:

pi install npm:pi-intercom
pi install npm:gentle-engram
pi install npm:pi-web-access
pi install npm:pi-lens
pi install npm:@juicesharp/rpiv-ask-user-question

Then start Pi in a project:

pi

gentle-pi installs delegation and review agents at startup. Substantial ODD work tracks progress in a project feature document; no separate workflow setup is required.

Base references for review

An explicit baseRef accepts one of these forms:

  • HEAD.
  • A full 40- or 64-character commit id.
  • A ref name: a branch, a tag, a remote-tracking ref, or an explicit refs/... path.

Abbreviated commit ids are rejected as base-ref-unresolvable; a rejected baseRef names its accepted forms in the response. Explicit tree ids are not accepted today.

Under the ODD contract, the orchestrator passes the last reviewed boundary as baseRef for each work-unit commit or slice, so base refs are routine input, not an edge case.

An orphan branch with commits and no parent has no branch point to name as baseRef. Before the first work-unit commit, either:

  • Create an empty root commit to open the branch: git commit --allow-empty -m "chore: open the feature branch". The next commit can then use that root commit as its baseRef.
  • Omit baseRef while the branch is still unborn (no commits yet); the review uses Git's empty tree as the base automatically.

gentle-shell launcher

gentle-shell (installed by npm i -g gentle-pi, exposed as the package's bin) opens pi with the Gentle Shell package loaded, without installing it into your pi agent or touching its settings.json. It is a thin bin/gentle-shell.mjs wrapper around the pure, unit-tested lib/gentle-shell-launcher.ts (built to runtime/gentle-shell-launcher.mjs); the wrapper owns process, filesystem, and child-process wiring only.

gentle-shell [options] [-- pi-args...]
gentle-shell home [link|isolated|<path>]
gentle-shell [home selectors] setup [--dry-run]

Flags

Flag Effect
--link Home is PI_CODING_AGENT_DIR or ~/.pi/agent. Reuses your existing pi sign-ins, models, and chats; never writes to its settings.json.
--isolated Home is GENTLE_SHELL_HOME or ~/.gentle-shell/agent. No credential seeding. Default when nothing else is configured.
--home <path> Home is the given directory.
--package-root <dir> Force this directory as the gentle-pi package to load, taking over from any conflicting package the target settings.json already declares (see "Loading the package" below).
--help, -h Print usage (flags, commands, env vars) and exit 0.
--version Print gentle-shell <version>, pi <version>, and home <mode> <dir>, then exit 0.
-- Everything after is forwarded to pi verbatim, even text that looks like a gentle-shell flag.

--link, --isolated, and --home are mutually exclusive; combining two is a usage error, as is --home or --home= with an empty value. Effective-home precedence: an explicit flag wins, then the persisted home subcommand choice, then the --isolated default. Every argument gentle-shell does not recognize — --mode rpc, -p "...", etc. — is forwarded to pi unchanged.

home subcommand and ~/.gentle-shell/config.json

gentle-shell home alone prints the effective mode and directory (<mode> <dir>) without persisting anything. gentle-shell home link, gentle-shell home isolated, or gentle-shell home <path> persists that choice to ~/.gentle-shell/config.json as {"home": "link" | "isolated" | "<path>"}, so a later plain gentle-shell picks it up; a flag on a given invocation still overrides the persisted config without rewriting it.

Managing packages

gentle-shell install npm:<pkg>, gentle-shell remove ..., gentle-shell list, gentle-shell update ..., gentle-shell config, and gentle-shell auth ... run pi's own commands against the resolved home — the --isolated home by default, or your own pi home with --link. A launcher flag before the subcommand (--link, --isolated, --home <path>) still selects which home the subcommand runs against. Running gentle-shell install npm:gentle-pi inside the isolated home is unnecessary: the launcher already loads the Gentle Shell package itself (see "Loading the package" below).

gentle-shell update and gentle-shell list follow that same home selection, so they inspect and update packages in whichever home the effective flag or persisted home config points to.

setup subcommand

gentle-shell setup provisions the resolved home — the same home selection as any other invocation, --isolated by default, or --link/--home <path> when given before setup — with the same companion packages a regular gentle-ai install --agent pi installs into a Pi agent home: npm:gentle-pi, npm:gentle-engram, npm:pi-mcp-adapter, npm:@juicesharp/rpiv-ask-user-question, npm:pi-web-access, npm:pi-btw, plus running pi-engram init. It never touches ~/.pi/agent unless you pass --link.

It resolves the home and the pi runtime exactly as a normal run does (including the isolated/--home bootstrap and the pi version gate), then runs the package-local pinned gentle-ai binary — gentleAiBinaryPath() from lib/gentle-ai-binary.ts, never a gentle-ai found on PATH — as:

<package>/.gentle-ai/v<version>/gentle-ai install --agent pi --scope global [--dry-run]

with PI_CODING_AGENT_DIR and GENTLE_PI_AGENT_HOME set to the resolved home, and the resolved pi runtime's directory prepended to PATH, so gentle-ai's own preflight finds pi even when it is bundled or given through GENTLE_SHELL_PI. --dry-run is forwarded to gentle-ai unchanged. Output streams straight through (stdio: "inherit"), and gentle-shell setup exits with gentle-ai's own exit code. If the package-local gentle-ai binary is missing, setup installs it itself (by running its own scripts/install-gentle-ai.mjs postinstall) before giving up — the postinstall never runs when npm install's lifecycle scripts were disabled (for example under ignore-scripts=true) — unless GENTLE_PI_SKIP_GENTLE_AI_INSTALL=1, in which case it exits 1 with the same actionable message it always did.

Requires the package-local gentle-ai pin at v3.6.0 or newer — the pin that adds PI_CODING_AGENT_DIR support to gentle-ai install. setup enforces this before spawning anything: an older pinned gentle-ai ignores that variable and would silently install into ~/.pi/agent instead of the target home, so setup exits 1 with gentle-shell: setup needs the package-local gentle-ai v3.6.0 or newer (pinned: <version>); this build cannot provision a home without touching ~/.pi/agent instead of spawning it.

gentle-ai's managed Pi stack always declares npm:gentle-pi itself in the home's settings.json as part of that install. Once gentle-ai exits 0, setup removes it again immediately: this launcher always loads its own gentle-pi (its own package root, or a take-over — see "Loading the package" below), never the one gentle-ai's stack just installed, so leaving that declaration in place would let the home drift onto whatever gentle-pi npm last installed — or, for a developer running from a source checkout, onto the published npm package — instead of the running launcher's own copy. setup also removes npm:@juicesharp/rpiv-ask-user-question the same way, if gentle-ai declared it: that package conflicts with gentle-pi's own first-party ask_user_question tool, and Pi refuses to load two providers for the same tool name (tracked upstream as gentle-ai #4820). --dry-run only reports both pending removals instead of running them. A home only ever keeps a npm:gentle-pi declaration — and so only ever stops getting the launcher's own injection (see "Loading the package" below) — when something puts it back after setup runs: a hand-edited settings.json, or gentle-shell install npm:gentle-pi run manually; in that case the home behaves like a regular Pi agent home with gentle-pi installed, and gentle-shell update npm:gentle-pi updates it like any other package.

Known limitation: gentle-ai always writes its persona file to the shared ~/.pi/gentle-ai/persona.json without honoring PI_CODING_AGENT_DIR, so the persona is shared across every home gentle-shell setup provisions, not per-home. setup keeps that file byte-identical across the run regardless — snapshotting it before spawning gentle-ai and restoring it afterward, in manual, --dry-run, and automatic first-run modes alike — because the pinned gentle-ai still writes the Pi persona outside PI_CODING_AGENT_DIR. gentle-ai also records the running binary's managed-asset digest in the shared ~/.gentle-ai/state.json (managed_asset_digest), again regardless of PI_CODING_AGENT_DIR, so a setup run otherwise leaves the user's own (unrelated, on-PATH) gentle-ai reporting its managed assets as outdated and demanding gentle-ai sync. setup restores just that one field afterward, the same way and in the same modes — but never the whole file, since state.json also carries fields (like the installed-agents list) the pinned gentle-ai is meant to update, and it never creates or deletes state.json itself.

Test/development only: GENTLE_SHELL_GENTLE_AI_BIN overrides which gentle-ai executable setup runs, bypassing the pinned package-local resolution. GENTLE_SHELL_GENTLE_AI_PIN overrides the pin version setup (and automatic first-run provisioning, below) checks against MIN_SETUP_GENTLE_AI_VERSION (3.6.0), independent of GENTLE_SHELL_GENTLE_AI_BIN. GENTLE_SHELL_GENTLE_AI_INSTALLER overrides the script path setup runs to self-heal a missing package-local binary, instead of the real scripts/install-gentle-ai.mjs. GENTLE_SHELL_CONFIG overrides the launcher config.json path (normally <homedir>/.gentle-shell/config.json), read and written by the home subcommand and by automatic first-run provisioning's marker. GENTLE_SHELL_AUTO_SETUP_TIMEOUT_MS overrides automatic first-run provisioning's 15-minute per-child timeout ceiling (manual setup never has one). All five exist for the test suite and for exercising a different gentle-ai build/pin/installer/config/timeout; end users never need them.

Where the plugin list comes from: the companion list above is not maintained in gentle-shell itself — it is the managed Pi stack of the pinned package-local gentle-ai (gentle-ai's own managed sources, plus whatever it has already retired). Over time, third-party plugins in that stack get replaced by native Gentle Shell features — already done for rpiv-todo and npm:@juicesharp/rpiv-ask-user-question — so a gentle-ai release retires a plugin, gentle-pi bumps its pinned gentle-ai version, and the next gentle-shell launch sees the pin change (see "First run in an isolated or custom home" below), re-runs the setup flow, and gentle-ai prunes the retired package from the home. gentle-shell's own post-install removal of npm:@juicesharp/rpiv-ask-user-question above is a stopgap for homes provisioned before that gentle-ai retirement ships.

pi runtime resolution

  1. GENTLE_SHELL_PI — path to a pi executable, when set to a non-empty value.
  2. The bundled @earendil-works/pi-coding-agent resolved next to gentle-pi (dist/bundle/cli.js, run with the current node), when installed as its optional peer dependency.
  3. pi on PATH.

Adjacent resolution uses Pi's public ESM entry, then verifies the canonical package root, package name and declared pi bin. Only a genuinely absent optional peer permits PATH fallback; an invalid installed package fails rather than silently selecting another runtime. Pi AI and TUI are optional "*" host peers, not runtime dependencies, so managed extensions use the host's classes and registries. The launcher still gates the actual runtime version before home bootstrap. This is a one-time baseline upgrade, not an auto-updater.

If none resolve, gentle-shell exits 1 naming all three options. Once a runtime is found, its pi --version must be at least 0.99.1 (the coding-agent peer minimum): an older version exits 1 naming the found and required versions, and unparsable --version output exits 1 naming the required minimum.

Environment variables

Variable Effect
GENTLE_SHELL_PI Overrides pi runtime resolution (see above).
GENTLE_SHELL_HOME Overrides the isolated home directory (default ~/.gentle-shell/agent).
PI_CODING_AGENT_DIR Read to resolve the --link home; also set on the pi child process to the effective home.
GENTLE_PI_AGENT_HOME Set on the pi child process to the effective home; gentle-pi's own home resolution reads it back.
GENTLE_SHELL_NO_AUTO_SETUP Set to 1 to skip automatic first-run provisioning (see "First run in an isolated or custom home" below).

Loading the package

Unless the target home's settings.json already declares gentle-pi, every invocation injects -e <package root> --theme <root>/themes --skill <root>/skills --prompt-template <root>/prompts ahead of the forwarded arguments, so the Gentle Shell extensions, themes, skills, and prompt templates load without a separate pi install. Every mode — --link, --isolated, and --home <path> — consults the home's own settings.json for a declaration; an isolated or --home home only ever carries one by running gentle-shell setup (see above), which installs npm:gentle-pi into it, or by hand-editing settings.json. A home without any declaration always gets the plain injection — except when the forwarded arguments start with one of pi's own subcommands (install, remove, uninstall, update, list, config, auth): pi dispatches those on argv[0] before it parses any flags, so the injection — and any take-over below — is skipped entirely and pi sees the bare subcommand, e.g. gentle-shell install npm:x runs exactly pi install npm:x. A subcommand never triggers a take-over, even against a home whose settings declare a conflicting gentle-pi; see "Managing packages" above.

A declaration is recognized either as npm:gentle-pi[@version] in the packages array, or as a local path package (string or {"source": "..."} entry, relative or absolute) whose own package.json names it "gentle-pi" — the shape produced when gentle-pi is developed from a checkout and referenced by path in settings.json instead of installed via pi install npm:gentle-pi.

  • A pi subcommand as the first forwarded argument: no injection and no take-over at all, regardless of any declaration — pi must see the bare subcommand as argv[0].

  • npm declaration matching this launcher's own install: no injection — pi already loads gentle-pi from the declared package.

  • No declaration at all, or a path declaration that resolves (after realpath) to this launcher's own package root: the same plain injection as above.

  • A declaration that resolves to a different gentle-pi (a different checkout declared by path, for example) — take-over: gentle-shell prints taking over gentle-pi from <declared source> for this run (settings unchanged; its skills, prompts, and themes still load alongside this launcher's) to stderr, then runs pi with --no-extensions followed by an explicit -e <dir> for every other package already in settings (npm entries resolve to <agent dir>/npm/node_modules/<name>; path entries resolve relative to the settings file), then loose extension entries for <agent dir>/extensions and the project-local <cwd>/.pi/extensions (each candidate directory only consulted when it already exists), and finally its own -e <package root> --theme ... --skill ... --prompt-template .... settings.json itself is never modified, and every -e path — including the launcher's own package root — is injected at most once even if it would otherwise repeat.

    A declared other package whose resolved directory does not actually exist (a hand-edited settings.json, a failed or interrupted pi install, or an npm store laid out anywhere other than <agent dir>/npm/node_modules) is skipped with a stderr warning naming the source and the resolved path, instead of being handed to pi as an unresolvable -e that would fail the whole launch with "Cannot find module".

    --no-extensions disables pi's normal directory-discovery pass, and pi's -e flag hands a path straight to its module loader with no discovery of its own — passing a loose extensions directory as-is via -e <dir> fails with "Cannot find module" unless that directory is itself a self-contained extension. So each loose candidate directory is resolved before injection: a directory that is itself a self-contained extension (a package.json declaring a pi.extensions manifest) is passed through as a single -e <dir>; otherwise its direct *.ts/*.js/*.mjs files — including a root-level index.ts/index.js, which is just another loose file — and any <subdir>/index.ts/index.js are discovered individually — mirroring pi's own directory scan — and each is injected as its own -e <file>. Hidden entries (dotfiles) and *.d.ts declaration files are skipped, since neither was ever a runnable extension.

    A git-sourced other package is skipped with a stderr warning, since its install directory cannot be derived without pi's own package manager; an object entry with extensions or autoload filters is still included but warned about, because the take-over cannot honor those filters for extension discovery — that package's skills, prompts, and themes still load normally through settings discovery, which --no-extensions does not affect.

    Known limitation: the take-over never removes the original declaration from settings.json, so its skills, prompt templates, and themes are still discovered alongside this launcher's own — only its extensions are replaced by --no-extensions plus the injected -e flags above.

  • --package-root <dir>: forces a take-over using <dir> as the package root, even when settings already declare a matching npm:gentle-pi, or when there is no declaration at all. Use it to test a different gentle-pi checkout against a home whose settings already point at another one. Has no effect when the forwarded arguments start with a pi subcommand, since a subcommand skips the take-over entirely. This forcing behavior — a take-over with no matching declaration required — is only ever reached for --link: with --isolated or --home <path>, --package-root still changes which directory is injected, but on its own it goes through the same plain injection as "no declaration at all" above — no --no-extensions, and no other-package or loose-extension re-injection. A settings.json declaration in an isolated or --home home (one gentle-shell setup installed, or a hand-edited path entry) still triggers its own take-over there exactly as it would for --link, independent of --package-root. When that declaration is present and the home is not --link, --package-root has no effect at all — gentle-shell prints one stderr warning naming both the home and the ignored directory instead of silently dropping the flag. --package-root must also name an existing directory; a missing or non-directory path fails fast with a clear error instead of launching pi with unresolvable flags.

This take-over exists because two gentle-pi copies loaded at once — the declared one plus this launcher's own injection — register the same tools and extensions twice, which pi reports as tool conflicts (for example Tool ask_user_choice conflicts with ...).

First run in an isolated or custom home

The first time gentle-shell resolves to an isolated or --home <path> home that does not already exist, it creates the directory, writes "tuiMode": "fullscreen" and, unless the home's settings.json already declares one, "theme": "Gentleman-Cute" into its settings.json, writes a small ownership marker file at <home>/.gentle-shell-home (a one-line JSON object naming the gentle-pi version that created it), and prints one hint to stderr pointing at --link. A --link home is never bootstrapped this way — it is assumed to already exist as your pi agent home. Later runs against the same home skip the write and the hint. The default theme is also re-applied after automatic or manual setup if gentle-ai's own managed install wrote a different theme into a home that had none before that run; a home (or --link) that already declares its own theme is never touched.

Right after that bootstrap, and on every later launch, a plain gentle-shell against an isolated or --home <path> home (never --link, and never a pi subcommand like gentle-shell install/remove/list/...) also runs the same flow as gentle-shell setup automatically before starting pi, so you never have to know setup exists. It runs when the home has never been provisioned, was provisioned with a gentle-ai pin different from the package-local pin this gentle-pi ships — for example after upgrading gentle-pi to a version pinned to a newer gentle-ai — or was provisioned by a different gentle-pi version than the one now running — for example after npm i -g gentle-pi upgrades the launcher itself, so the home re-syncs to match it. A completed run is recorded as provisioned: {"<realpath of the home>": {"gentleAi": "<pin>", "gentlePi": "<running gentle-pi version>", "at": "<ISO timestamp>"}} in the launcher's config.json (~/.gentle-shell/config.json by default, or GENTLE_SHELL_CONFIG when overridden — see "Environment variables" above), preserving every other key already in that file (including the persisted home mode and any other home's marker). A marker written before this gentlePi field existed always counts as needing provisioning too, so the very next launch backfills it.

Every child process the flow spawns (the gentle-ai installer self-heal, the package-local gentle-ai binary, and the pi remove post-install cleanup) has its stdout routed to this launcher's own stderr, together with the flow's own notices, so a headless consumer's stdout — gentle-shell --mode rpc or gentle-shell -p "..." — stays exactly what it always was: pi's own output, nothing else. The first time it runs in a home you see gentle-shell: first run in <home>: installing the Gentle AI companion packages (one time; set GENTLE_SHELL_NO_AUTO_SETUP=1 to skip); on a gentle-ai pin change you see gentle-shell: gentle-ai pin changed (<old> -> <new>): updating <home>; on a gentle-pi version change you see gentle-shell: gentle-pi changed (<old> -> <new>): updating <home>; when both changed at once, one line names both.

Automatic provisioning only ever touches a home gentle-shell itself owns: the dedicated isolated home, a --home <path> (or persisted home <path>) that is new or already empty, one carrying the .gentle-shell-home ownership marker the bootstrap above wrote (so a --home directory whose first auto-provision attempt failed — leaving only the bootstrapped settings.json and marker behind — is still retried on the next launch instead of being mistaken for a foreign, pre-existing directory), or one this same config marker already recorded as provisioned before (so a later gentle-ai/gentle-pi re-sync still runs). A --home that already has content and neither marker — for example pointing at an existing, unrelated directory — is left alone, with one stderr hint (gentle-shell: <dir> already has content and was not set up by gentle-shell; run `gentle-shell <home flags> setup` to provision it) instead of a silent skip; pointing it at pi's own default agent home is refused the same way even when that directory is empty. gentle-shell setup run manually still works against any home — that is explicit intent, not automatic provisioning.

A failed flow (a non-zero gentle-ai or pi exit, a pin gate refusal, a self-heal that still can't find the binary, or a gentle-ai/pi remove child that runs past its timeout ceiling — 15 minutes by default — and gets killed) never blocks the launch: gentle-shell prints gentle-shell: automatic setup failed (exit <n>); starting anyway and retrying next run. Run `gentle-shell <home flags> setup` to see the full output., followed by the underlying reason on the next line when one is known (a timeout's reason names the effective ceiling that fired — timed out after 15 minutes by default, or in seconds for a shorter override), writes no marker, and starts pi with today's plain injection (the home has no npm:gentle-pi declaration to skip it for). The next launch against the same home retries automatically. Manual setup never has that ceiling. A spawned child dying by a signal on its own — a crash, an OOM kill, an external kill, anything gentle-shell itself did not ask for — is just another failure reported the same way; pi still launches. Only an interrupt actually reaching gentle-shell itself (Ctrl-C, or SIGTERM/SIGHUP delivered to the launcher process) is different: it forwards that signal to whichever child is running, kills it, and exits gentle-shell itself immediately with the matching signal exit code, without starting pi — you asked the process to stop, not to fall back. This launcher-interrupt tracking covers the package-local gentle-ai install and each pi remove cleanup step (both driven through the same async spawn helper); the installer self-heal step that recovers a missing package-local gentle-ai binary runs synchronously and does not carry the same tracking — an interrupt reaching the launcher during that narrow step falls back to Node's default signal handling instead. An otherwise-unexpected failure anywhere in the flow itself (for example an unwritable config.json directory) is also never fatal: it is reported the same way and the launch continues.

Concurrent first runs against the same home are serialized with an exclusive lock file at <home>/.gentle-shell-setup.lock: a second gentle-shell process started while the first is still provisioning skips auto-provisioning for that run instead of racing gentle-ai's own installer, with one stderr notice. A lock older than 15 minutes is treated as stale — left over from a run that crashed or was killed before it could clean up — and is removed (after re-confirming it is still stale right before removal, so a lock a concurrent process just refreshed is never deleted out from under it) so provisioning can proceed. The lock is always removed once the flow finishes, successfully or not.

Set GENTLE_SHELL_NO_AUTO_SETUP=1 to skip automatic provisioning entirely and keep today's plain-injection behavior on every launch; gentle-shell setup (see above) still works as a manual, explicit step. --link is never auto-provisioned — it reuses your existing pi agent home as-is, credentials included.

Known limitation: like gentle-shell setup, automatic provisioning never copies credentials into the home it provisions — a freshly auto-provisioned isolated or --home home still needs its own /login (or equivalent) inside pi.

Windows shims

On win32, when the resolved pi command ends in .cmd or .bat — the shape an npm-installed pi or a GENTLE_SHELL_PI override commonly takes — gentle-shell runs it through cmd.exe as one quoted command line instead of spawning it directly, because current Node releases refuse to spawn a batch file without shell: true. This applies to both the version probe and the real launch.

Postinstall fullscreen guard

gentle-pi's postinstall only writes the global tuiMode: fullscreen setting when the running package directory is a pi-managed install: under an npm/node_modules segment, or the exact git/github.com/Gentleman-Programming Git layout. npm i -g gentle-pi, a development checkout, and other layouts are recognized and skipped, logging gentle-pi skipped enabling fullscreen in global Pi settings: <dir> is not a pi-managed install (npm install -g, a git checkout, and npx all land here).

Interactive RPC hosts

Setting GENTLE_SHELL_INTERACTIVE_HOST=1 on a pi --mode rpc process turns on two things a plain headless RPC host does not get: dialogs for ask_user_question and ask_user_choice (one ctx.ui.select prompt per question, looped for multiSelect), and Gentle Agents' helper activity pushed live through setWidget. A subagent child spawned by such a host never inherits the variable, so nested children stay headless regardless of their parent. See the activity payload reference for the exact schema, field bounds, and shrink order.

Herdr lifecycle bridge

For an interactive isolated-home launch inside Herdr, gentle-shell explicitly loads the existing managed extensions/herdr-agent-state.ts bridge. It looks first in the selected agent home, then the incoming PI_CODING_AGENT_DIR, then ~/.pi/agent, using the first readable file's canonical path. Pi deduplicates that same file against normal discovery, explicit -e aliases, and package-manifest entries; presence alone is not treated as proof that it loaded. The launcher does not implement a second reporter, copy the bridge, or rewrite home configuration.

Automatic loading requires HERDR_ENV=1, a nonempty HERDR_PANE_ID, an existing Unix socket at HERDR_SOCKET_PATH, and terminal stdin/stdout. It is skipped for --no-extensions/-ne, print/JSON/RPC modes (including interactive RPC hosts), export/model listing, package commands, and Gentle Agents children. --mode text still permits an interactive TUI. Linked and explicit custom homes keep their own resource policy; use normal Pi discovery or an explicit -e there. An absent or unreadable bridge is nonfatal. User-supplied extension paths remain unchanged, including under --no-extensions; this automatic bridge is not added on top of that opt-out.

Herdr native working detection

Outside Herdr, the petal prompt frame replaces Pi's standard loader row. Inside a Herdr pane (HERDR_ENV=1, root sessions only), Gentle Shell keeps Pi's native ⠋ Working... row visible, because Herdr's native Pi manifest detects activity from that row and otherwise reports idle during real runs. Pi shows the row only while the agent is working, so no local pi.toml override is needed.

Herdr blocker events

The Gentle AI adapter projects native gentle-pi:ask-user-question:blocked, legacy rpiv:ask-user:blocked, choice blockers, and guarded confirmations into one balanced herdr:blocked interval. It emits one activation when blocking begins and one release after the last source clears, retaining the initial generic label without relabel pulses. Native and legacy questionnaires are tracked independently; duplicate or malformed source events are ignored. Questionnaire answers, prompts, and commands are not included in the projection. This adapter emits local events; transport availability is a separate concern.

Quick start

/gentle:status          Check package assets and global model config.
/gentle:doctor          Run read-only diagnostics for assets, config, tools, and guards.
/gentle:models             Assign global model/effort routing to packaged/custom agents.
/gentle:profiles           Create, switch, and manage global agent-model profiles.
/gentle:persona            Switch between gentleman and neutral persona modes.
/gentle:background-subagents  Show or set the managed background-subagents policy, with its deciding source.
/gentle:review-mode          Show or set the receipt-driven development mode (status|enable|disable).
/gentle:animations         Show or set global animations: quality, performance, or potato.
/gentle:banner             Configure startup rose, text logo, and color preset.

Typical flow:

  1. Open Pi in your repo.
  2. Run /gentle:status.
  3. Describe the outcome, for example: "Add CSV export using the existing report filters." ODD explores, implements authorized changes, and checks the result.
  4. For large work, inspect the feature document and evidence; resume reconciles the full file and Engram copy.

Core workflow

  1. Install and inspect. Install gentle-pi, open Pi in the target repository, then run /gentle:status or /gentle:doctor.
  2. Use ODD. Explore and clarify proportionately; track large work in one feature document with a full Engram recovery copy.
  3. Build with evidence. One focused writer implements authorized scope using the forwarded TDD mode/source/runner. Enabled TDD requires observed RED → GREEN → REFACTOR; disabled still runs functional checks. Test presence is not activation.
  4. Use runtime-owned RDD only when enabled by the user. Gentle AI supplies any runtime-specific review instructions; this package does not recreate a lifecycle in documentation or prompts.
  5. Deliver through ordinary repository policy. Review and Judgment Day evidence is informational only; Pi never creates a delivery route, authorization, target rederivation, or receipt gate.

Trust what the system can derive, not what an agent claims. Agents analyze the candidate. The package-local Gentle AI runtime owns scope, risk, findings, and review authority. Review outcomes inform delivery; ordinary repository policy decides delivery commands. Dangerous-command safety and destructive-review consent remain independent. See Gentle AI's review authority threat model and Chapter 21 — Verifiable Trust.

How the harness decides what to do

gentle-pi routes through the smallest safe workflow:

Request shape Harness
Small, clear, local edit Inline direct work.
Unknown codebase area or context-heavy investigation Focused subagent delegation.
Substantial authorized work needing recoverable progress ODD with a feature document and focused workers.

Size and uncertainty can call for scoped exploration or delegation within ODD. The delegation triggers below select execution topology, not a different development method.

Delegation triggers

gentle-pi keeps the parent session thin and delegates at the narrowest useful point. When the Pi Subagents extension is installed, the preferred runtime is the subagent_* tool family because it runs the user's configured project/global subagent definitions and preserves history/background behavior. With the background policy on, delegations default to background mode: the terminal stays free and each result comes back as a message that starts a new turn; task mode is the bounded print-mode alternative and also supports delegations that must ask the user something mid-flight. Background work requires a live interactive/RPC parent; subagent_run and subagent_continue reject background mode in the single-shot modes pi -p and pi --mode json, which exit before a later result can be received. If those tools are unavailable, the parent should fall back to Pi's native Agent tool or another available delegation mechanism. The requirement is delegation; the runtime is capability-dependent.

Trigger Required behavior
Understanding needs more than the evidence budget (one parallel batch of at most 3 calls, ~10k tokens) or more than ~5 sequential lookups Launch scout, context-builder, or the closest read-only mapping subagent; it returns a handoff of at most ~2k tokens with path:line evidence. Never force delegation for a small targeted question.
A large (tracked) task Track it in the logbook; delegate a writer only for a reason (parallel units or context), never for size, file count, or a price ratio.
A high-risk change Run an independent verifier after the change's own checks; otherwise the focused test and suite run inline.
Commit, push, or PR after code changes Follow the loaded native instruction, or ordinary repository policy when none is supplied.
Wrong cwd, worktree/git accident, merge recovery, confusing test/env issue Stop, preserve the affected scope, and investigate separately before resuming.
Parent context past ~150k tokens Pause and delegate the next bounded unit of work, or stop and explain the exact blocker. Keep command output bounded; a small task still runs its focused test and suite inline.

The intended balanced loop for a bounded bugfix is:

parent git/status + clarify → one worker writes authorized fixes → focused verification → parent reports

scout/context-builder save parent context by compressing broad exploration. worker runs one bounded writer thread; parallel writers only with disjoint Allowed edit surfaces (runtime-enforced) or isolated worktrees.

"Runtime-enforced" means an admission-time check inside one Pi process: when subagent_run or subagent_continue queues a bounded writer, it is rejected if a queued or running writer of the same parent process, in the same worktree, has an overlapping ## Allowed edit surfaces entry. Writers are keyed by their canonical worktree root (the realpath of the Git worktree root, or the realpath of the cwd outside Git), so a subdirectory cwd, the root itself, and a symlinked spelling count as one worktree. It is not a write-time guard: it does not stop a writer from editing outside its declared surfaces, and separate Pi parent processes do not coordinate with each other. Overlap is conservative: an entry also covers everything under it, a whole-segment ** covers any depth, while ** inside a segment (for example src/**.ts) matches within that one segment, like minimatch. Entries compare in Unicode NFC. Entries with bracket classes, extglob groups, backslashes, or nested, unbalanced, or /-spanning braces overlap every other entry, and a wildcard never proves two entries disjoint when either contains non-ASCII characters. A quarantined writer whose process exit is unconfirmed keeps its surfaces until the exit is confirmed; a process that survives quarantine keeps both its surface claim and its concurrency slot until its exit is observed, which can last for the parent's lifetime. Any RDD-specific actor behavior belongs to the runtime instruction supplied by Gentle AI, not to this README.

Review authority recovery and reset safety

Legacy pre-graph authority is never migrated. gentle_review inspect reports an exact repository-bound destructive reset challenge for legacy corruption; after that fresh interactive authorization, RESET and RECOVER_LOCK route to the audited native gentle-ai review reclaim operation and RECOVER routes to native gentle-ai review recover, so every destructive transition is executed and audited by the native authority store. Native inputs the request did not carry return a native-input-required envelope instead of being invented. Existing graph-v1 ordinary lineages remain readable and gate-validatable but are read-only; Judgment Day remains mutable on graph-v1.

gentle_review abandon, quarantine-legacy, and reconcile-authority remain explicit v2.1.11 maintenance routes. For abandon the caller supplies only lineage, actor, and reason (operator_disposition or retired_schema): Pi freshly reads the native authority inventory, locates the single eligible compact-v2 entry for that lineage, derives its revision, snapshot identity, and discarded-work summary, and displays the exact eight-line gentle-ai.review-abandon-authorization/v2 binding for fresh interactive approval; inventory-derived fields supplied by the caller are rejected, and the native CLI re-derives non-terminal compact-v2 eligibility and the exact discarded work before accepting it. Legacy quarantine accepts only historical findings freeze changed unrelated transaction state with disposition quarantine-malformed-freeze-event and uses its exact eight-line binding. Both require fresh interactive approval and fail closed headlessly.

gentle_review reconcile-authority accepts one predecessor lineage and revision, one successor lineage and revision, an actor, and a reason. Pi derives the exact seven-line gentle-ai.review-reconcile-authorization/v1 binding, or appends exactly anomalies=unchanged_target,malformed_recovery_authorization for the published dual anomaly in that order. Native code re-derives every anomaly; malformed bindings, changed revisions, unavailable native support, cancellation, and native refusal fail closed through typed envelopes.

Reconciliation is intentionally narrow: native code may quarantine only the bound invalid compact-v2 recovery successor and persists the returned audit record; the predecessor stays untouched. Pi never recreates the retired prepare-supersession/supersede authority writer and never falls back to RESET or RECOVER.

gentle_review repair-legacy-alias is the sole v2.1.11 route for unsupported historical v1 operation alias. The model supplies only lineage, actor, and reason. Pi freshly reads the native inventory, derives the canonical repository, exact legacy revision, fixed diagnostic, and fixed quarantine-approved-historical-alias disposition, displays the LF-only eight-line binding, and requires a new interactive approval. Native re-derives eligibility and quarantines rather than rewriting or validating the historical chain.

review dispose-result is deliberately unsupported by Pi pending a separate design; it has no controller operation or fallback. All maintenance routes fail closed headlessly and never auto-run against legacy history.

Native lifecycle status remains informational. VALIDATE does not authorize delivery; commit, push, PR, and release commands follow ordinary repository policy. Recovery grants no new budget, and legacy graph bundle export/import is retired.

This is the post-U8 boundary, not the final architecture. Issue #191 is the immediate final unit in this same delivery: extract the remaining Pi command-projection and lifecycle-gate surface from review-transaction.ts, repoint runtime enforcement, then delete only dependencies proven unreachable without weakening graph-v1 Judgment Day. The branch-wide High-tier 4R runs after that extraction, before the single size-exception PR.

Review Lens Selection (architecture reference)

reviewer is not an installed subagent name. It is historical routing vocabulary, not a static instruction. When a runtime-specific Gentle AI instruction applies, it alone determines whether any concrete lens is used:

Context Review lens
Clear naming, structure, maintainability, small refactors review-readability
Behavior, state, tests, determinism, regressions review-reliability
Shell/process integration, partial failures, recovery, degraded dependencies review-resilience
Security, permissions, data exposure/loss, architecture, dependencies review-risk
Large PR, hot path, or >400 changed lines Full 4R: review-risk, review-resilience, review-readability, review-reliability

The former compact controller classified documentation/comment/formatting-only changes as zero-lens, standard changes as one dominant lens, and higher-risk paths as full 4R. This describes compatibility architecture only; never derive or run those choices from this README.

Review authority architecture (reference only)

Gentle AI dynamically supplies runtime-specific RDD instructions. gentle-pi does not define an RDD lifecycle, command route, approval path, recovery sequence, or fallback. The historical compact-controller material below documents architecture and compatibility boundaries only; it is not an operator instruction.

Concretely: gentle-pi mirrors the Gentle AI provider contract bundle's orchestration/pi.md locally (contracts/review-provider-contract-mirror/, verified against the mirror lock's recorded SHA-256 before injection) and injects that mirrored text into the primary session's system prompt at session start. Gentle AI does not write anything into Pi's system prompt; when the mirrored contract is absent, unreadable, or fails digest verification, gentle-pi invents no fallback lifecycle.

flowchart TD
    A["Clarify scope and acceptance criteria"] --> B{"Choose the smallest safe workflow"}
    B -->|Small and local| C["Inline implementation"]
    B -->|Context-heavy or multi-file| D["Focused subagent"]
    C --> F["Implement with test evidence"]
    D --> F
    F --> G["Independent verification"]
    G --> H["Target-scoped native status"]
    H -->|Ambiguous or corrupted| X["Blocked: native maintainer action"]
    H -->|Unrelated| I["START freezes candidate, scope, tier, lenses, and budget"]

    subgraph Ordinary_review["Ordinary bounded review"]
        I --> R["reviewing"]
        R --> J["Run each selected lens once"]
        J --> K{"Severe candidate-caused blocker?"}
        K -->|No| A1["approved"]
        K -->|Yes| C1["correction_required"]
        C1 --> C2["Forecast bounded correction"]
        C2 --> C3["Apply scoped fix"]
        C3 --> V["validating"]
        V -->|Validator passes| A1
		V -->|Fails, malformed, or out of scope| E1["escalated"]
    end

    A1 --> O["Review outcome is informational"]
    E1 --> O
Loading

VALIDATE is informational. Commit, push, PR, and release commands follow ordinary repository policy; RDD never authorizes, rewrites, consumes review state for, or blocks them. Dangerous-command safety and destructive-review consent remain independent.

For the source checkout, native contract pairing is exact: this adapter resolves only the integrity-verified package-local Gentle AI v4.0.0 executable, independently hashes it, then negotiates gentle-ai.review-integration/v2 outside the repository. Capabilities are cached by that executable digest. Every START, target status, FINALIZE, and validate request passes the same contract identifier. Negotiated envelopes decode exactly against the vendored schemas; recover routes only the provider-selected action_disposition, and optional additions require a future compatible schema/minor that the provider explicitly advertises and the consumer negotiates.

Contract /v2 replaces the Base64 candidate_diff reviewer transport of /v1 with immutable base_tree/candidate_tree plus an ordered changed_path_manifest and never an inline patch. gentle-pi negotiates /v2 only, with no dual-lane fallback; the cutover landed as one atomic commit against gentle-ai v2.2.2 (tracked by the migrate-review-integration-v2 change), and the /v1 schemas stay packaged because the /v2 schemas $ref into their fragments. This provider contract version is unrelated to Pi's own internal "compact-v2" review-authority naming used below — the shared digit is coincidental, not a version pairing.

Target status owns current_target, unrelated, ambiguous, and corrupted applicability and returns one native action. Pi does not reconstruct ordinary authority from provider-private files or choose a lineage from repository-wide history. Restart recovery rebuilds only the derived candidate view from the native Git/content projection, including intended-untracked paths, symlinks, and immutable gitlink identities. Native failure envelopes retain their exact mutation outcome, replayability, required inputs, request digest, and next action. After an unknown or lost mutating result, Pi calls target status before any replay decision and returns only the provider-declared action.

Candidate views materialize tracked Git symlinks from their frozen blobs even when core.symlinks=false, including unchanged links outside the changed scope. Unsafe targets fail before any link is created; a host without native symlink capability fails closed with symlink-materialization-failed. Pi does not alter the contributor's Git configuration or install symlink privileges.

On POSIX, if START rejects a group- or world-accessible .git/gentle-ai/candidate-views parent, Pi reports candidate-owner-parent-privacy before native START. When a sanitized probe shows the filesystem cannot represent private POSIX modes (for example WSL DrvFS mounts without metadata), Pi instead reports candidate-owner-parent-chmod-ineffective with guidance to move the Git common directory to a POSIX-metadata filesystem or enable metadata support. Inspect that parent's ownership and permissions and correct them out of band before retrying; Pi does not change them automatically. Other owner-preparation failures retain a generic diagnostic rather than exposing filesystem errors.

Once the source checkout's pinned gentle-ai runtime (currently v4.0.0) has written review authority, rollback MUST preserve every native store and receipt and MUST NOT run a downgraded binary against that repository. Disable the Pi route or roll forward to a compatible authority-aware release instead; deleting authority data or reinstalling an older binary is not a rollback path.

FINALIZE wrapper input

gentle_review accepts input as a JSON-serialized object string. For initial results, provide review_result.lens_results[]; each selected lens appears exactly once with lens, findings, and non-empty evidence. A clean lens uses findings: []. Pair final_evidence with exactly one of final_verification_passed or final_verification_outcome.

{
  "review_result": {
    "lens_results": [
      {
        "lens": "review-reliability",
        "findings": [],
        "evidence": ["complete candidate reviewed"]
      }
    ]
  }
}

This is the Pi wrapper contract, not the native CLI file contract. The native command receives separate --result, --refuter, --validation, and --evidence files from the wrapper.

START derives the complete Git/untracked snapshot, lineage, persisted low | medium | high tier, zero/one/four lenses, authored changed lines, and correction budget min(200, ceil(original_changed_lines / 2)). Generated testdata/golden/** stays in snapshot identity but does not count as authored risk lines.

gentle_review inspect may stop pre-lineage on the intended-untracked selection, and that stop names its own continuation in nextStep. The stop's expected_untracked_inventory digest covers untracked path names only (git ls-files --others --exclude-standard); nothing is read or hashed at inventory time, and file content is hashed only for the paths actually selected, at candidate freeze. Resolve the stop either with select-intended-untracked (empty intendedUntracked excludes every eligible path; a subset includes only those paths) or in one call by passing untrackedScope to inspect: use "exclude" without intendedUntracked, or "select" with it. The retained selection is bound to the resolved native target/candidate and is adopted only by a matching plain START; a fresh inspect invalidates an older pre-lineage selection. To keep a path out of the inventory permanently, ignore it through .gitignore or .git/info/exclude.

Every finding requires evidence_class, causal_disposition, and concrete changed-hunk, candidate-created-path, differential-test, or before/after proof. Missing IDs are assigned natively and selected-lens results are canonicalized deterministically.

Actor output is untrusted data and cannot authorize transitions, fixes, receipts, gates, or delivery.

Only severe introduced, behavior-activated, or worsened findings with valid proof enter correction IDs. pre-existing and base-only become follow-ups; unknown, insufficient, malformed, or inconclusive severe claims escalate. WARNING and SUGGESTION are informational.

Deterministic blockers need no refuter. Inferential blockers use exactly one complete read-only refuter batch.

Refuter proof may be independent concrete reproduction evidence; it does not need to duplicate reviewer proof_refs. Invalid, empty, malformed, missing, duplicate, unknown, or inconclusive refuter output escalates without a replacement refuter.

When native IDs are assigned to inferential findings, the first FINALIZE returns their canonical rows and a content-derived request hash without mutation; the second replays identical lens input with that hash and one complete refuter batch.

Ordinary permits one correction transaction within the original budget. FINALIZE requires a positive forecast before editing and derives actual correction lines from Git; one targeted validator and final verification close that transaction. Initial lenses are never rerun, while frozen findings and genesis scope remain unchanged.

The validator checks original criteria and correction regression only and cannot add scope or findings. Final evidence is hashed during FINALIZE, never at START.

Compact ordinary has five states: reviewing, correction_required, validating, approved, and escalated.

The validator cannot change claims, add findings, request fixes, launch actors, or request another attempt. A failed correction escalates instead of opening another review budget.

Compact authority uses content-derived CAS under the Git common directory. Exact retries are idempotent; stale/semantic retries, terminal mutation, and same-lineage graph-v1/compact-v2 ambiguity fail closed.

Trust boundary: The local orchestrator and same-user process are trusted to execute selected actors and submit their exact outputs. Native code owns scope, risk, IDs, canonicalization, state, receipts, and gates, and rejects malformed or inconsistent results structurally and causally. Malicious same-user host/process authenticity is a non-goal because that actor can replace the extension or mutate local authority; externally trusted attestation would require a separately privileged signer/service and is not claimed.

Ordinary ends only as approved or escalated.

Judgment Day starts only when explicitly requested and replaces ordinary review for that lineage.

Judgment Day starts with exactly two blind judges and zero refuters.

Judgment Day alone may iterate discovery and scoped re-judgment, for at most two rounds.

Findings surviving round two escalate; no third-round transition exists.

Native review mode and the two candidate choices remain provider-owned lifecycle semantics. For a validated consent/v3 envelope in the interactive parent TUI, Pi displays those two choices unchanged and adds a clearly separate host-owned action: Run this review and allow reviews for this Pi session. Only direct human selection creates this process-memory grant. Its scope is the coordinating live SessionManager session and the canonical Git common-directory identity of the selected repository: it runs the current envelope's exact provider granted invocation through the existing one-shot answer-consent path, then does the same for later fresh validated envelopes in sibling worktrees of that same clone, including package-owned children. An unrelated repository requires a separate explicit human grant. Reload preserves it; /tree retains it; revoke removes the current repository grant; quit, new, resume, fork, or process restart removes all session grants. The command's status action reports the in-memory state without changing provider mode or authority.

The host grant is held only in a schema-checked globalThis[Symbol.for(...)] WeakMap registry keyed by session and canonical Git common-directory digest. It is never written through session entries, settings, environment variables, or the old asked latch. A package-owned Gentle Agents child can request one bounded parent-owned stdio authorization for its own validated pending ordinary START; it sends only that target's canonical repository digest, and the parent rechecks the live task, digest, and current parent session grant before the child replays its exact provider grant locally. No candidate bytes, provider vectors, paths, local child grant, or delivery authority crosses that channel. External or legacy pi-subagents launchers do not receive this channel and remain unsupported. Headless/RPC/unsupported UI, external processes, model prose, tool arguments, cancellation, identity drift, malformed identity, and uncertain native results cannot create or consume the grant. Native workspace binding remains canonical and target-specific; session-wide consent never authorizes an unselected target or an unrelated repository. The grant conveys no review verdict, forecast/cost approval, acknowledgement, maintenance, delivery, or cross-repository authority. When the host cannot resolve the choice, gentle_review returns the original unresolved two-choice provider envelope unchanged for the normal lossless relay. SessionManager binding isolates simultaneous SDK sessions; Pi does not claim universal same-process agent-principal isolation because the SDK exposes no principal identity.

When RDD is on and an agent loop ends with an unreviewed candidate that the native assessment reports review_due (high risk), gentle-pi sends one read-only reminder pointing the agent back to gentle_review {"operation":"inspect"} before it reports completion. A candidate the assessment reports not due (medium or passive, already covered by verify) earns no reminder; an assessment that cannot answer keeps it. This nudge is idempotent (at most once per target identity per session), never fires for a headless session or a subagent's own loop, and never runs START or answers consent itself. Pi treats a child agent_end as a latest-answer update, not completion: queued retry, compaction, follow-up, required verification, and legitimate post-correction verification remain live until agent_settled. It does not claim ready or RDD-ready first, but this ordering rule does not impose a universal full-suite requirement or turn a receipt into a delivery gate. At session start, gentle-pi records the current target identity as a baseline, so a candidate that already existed before the session began (the user's own prior work, not this session's output) never draws the reminder.

An ordinary gentle_review START input may carry the agent lens selection: {"mode":"ordinary","lenses":["risk","reliability"],"lensesReason":"<what you touched and how>"}. The agent names every 4R lens pertinent to what it touched and how (risk, resilience, readability, reliability), with one single-line reason of at most 500 bytes; both fields or neither, never with focus. Pi forwards the selection through the native STATUS preflight (--lenses, --lenses-reason) so the provider-issued START freezes exactly those lenses. A provider that predates lens selection refuses the flag before reading the repository; Pi then reruns STATUS without it and the review keeps the tier default.

Review outcomes and receipt state are informational; commit, push, pull-request, and release delivery follow ordinary repository policy. No one-shot command authorization, publication-target revalidation, or receipt gate is required for delivery, and Pi does not inspect RDD mode or native authority to decide a Bash delivery command.

Dangerous-command safety remains independent and authoritative. Destructive-review-maintenance consent remains separate from delivery. Review operations and informational VALIDATE perform no commit, push, pull-request, release, or publication operation.

The Pi host relay bounds each locked-down reviewer subprocess by materialized prompt size rather than by one fixed number: a 15-minute floor plus 15 minutes per mebibyte of prompt, clamped to a 2-hour ceiling. Set GENTLE_PI_REVIEW_RELAY_PI_TIMEOUT_MS to a positive decimal to replace that derived bound with your own; malformed values are ignored and the same 2-hour ceiling still applies, so no configuration turns a foreground finalize into an unbounded child process. A reviewer killed by the bound reports pi-host-relay-timeout with the elapsed time and the limit it was measured against, and it explicitly does not ask you to relaunch the identical slot — that would re-spend the model tokens to reach the same wall. Reviewer results admitted earlier in the same finalize stay admitted and are not re-run.

Adversarial review roles (the refuter and the targeted validator) are never Pi-authored: the provider renders self-contained review.capture-refuter / review.capture-validation vectors and Go runs its own locked-down pi process on them. Package agent assets remain a package-managed isolated installation. Project and user overrides may shadow a package asset; gentle-pi preserves those definitions and does not claim their effective permissions are package-compliant.

Package-managed agents and optional research

At startup, gentle-pi installs and refreshes only hash-proven delegation and review agents. User-edited files and project overrides remain untouched. Refresh a selected owner explicitly when needed:

/gentle:install-delegation --force
/gentle:install-review --force

Saved model routing is applied separately; these installation commands do not change model settings. Optional ODD research depends on active, authorized tools. Verify source-backed findings, cite the sources actually retrieved, and disclose unavailable evidence instead of treating tool inventory as proof or inventing citations. Research is read-only; unavailable evidence pauses only decisions that depend on it. A source checkout edit does not activate an already installed package; activate the updated package separately before expecting changes in a new session.

Skill registry

gentle-pi keeps a local registry at:

.atl/skill-registry.md

The registry scans project and user skill roots, not package-owned skills. It exists to catch workflow skills that are present on disk but not visible in Pi's injected skill list.

It scans common roots such as:

./skills
.opencode/skills
.claude/skills
.gemini/skills
.cursor/skills
.github/skills
.codex/skills
.qwen/skills
.kiro/skills
.openclaw/skills
.pi/skills
.agent/skills
.agents/skills
.atl/skills
~/.pi/agent/skills
~/.config/agents/skills
~/.agents/skills
~/.kimi/skills
~/.config/opencode/skills
~/.config/kilo/skills
~/.claude/skills
~/.gemini/skills
~/.gemini/antigravity/skills
~/.cursor/skills
~/.copilot/skills
~/.codex/skills
~/.codeium/windsurf/skills
~/.qwen/skills
~/.kiro/skills
~/.openclaw/skills

Behavior:

  • .atl/.gitignore receives a * rule when needed; the root .gitignore is unchanged;
  • the registry refreshes on session start, but automatic writes (including watcher refreshes) preserve Git-tracked targets;
  • skipped writes warn with the protected paths and /skill-registry:refresh as the deliberate regeneration path; Git detection failures skip automatic writes rather than assuming files are untracked;
  • startup refresh is skipped when Pi starts with --no-skills / -ns, --no-skill-registry, or GENTLE_PI_NO_SKILL_REGISTRY=1;
  • /skill-registry:refresh intentionally regenerates the registry and cache and updates the child ignore, even when tracked; review the resulting Git diff;
  • a best-effort watcher refreshes when skill files change;
  • the registry indexes skill names, full descriptions, scope, and exact SKILL.md paths without copying skill body rules.

Skill discovery is a guardrail, not a workflow router: it helps Pi load the right skill without forcing extra ceremony.

gentle-pi also ships package-owned gentle-ai-skill-creator and gentle-ai-skill-improver skills plus the /skill-creation prompt for creating or updating project skills. Both skills use docs/skill-style-guide.md as their normative style contract. The workflow checks for duplicates, keeps SKILL.md concise, uses one-line trigger-rich frontmatter, and reminds maintainers to refresh the registry after skill changes.

Packaged skills include cognitive-doc-design, comment-writer, gentle-ai-judgment-day, gentle-ai-skill-creator, gentle-ai-skill-improver, and the other delivery/review skills under skills/.

Compatibility: the package keeps the existing skill folders (skills/branch-pr, skills/cognitive-doc-design, skills/comment-writer, skills/judgment-day, skills/skill-creator, skills/skill-registry, and skills/work-unit-commits) but their exported frontmatter names are prefixed to avoid collisions with user/global skills. Treat former package names such as branch-pr, cognitive-doc-design, comment-writer, judgment-day, skill-creator, skill-registry, and work-unit-commits as legacy aliases in prose; runtime skill selection should use gentle-ai-branch-pr, gentle-ai-cognitive-doc-design, gentle-ai-comment-writer, gentle-ai-judgment-day, gentle-ai-skill-creator, gentle-ai-skill-registry, and gentle-ai-work-unit-commits.

Delegation contract:

  • parent/orchestrator resolves project/user skills from the registry and passes matching paths under ## Skills to load before work;
  • during normal runtime, subagents should not independently discover additional project/user SKILL.md files or the registry;
  • fallback loading is degraded self-healing and must be reported via skill_resolution as fallback-registry, fallback-path, or none.

Persona modes

/gentle:persona
Persona Behavior
gentleman Senior architect, teacher, direct technical feedback, Rioplatense Spanish/voseo when the user writes Spanish.
neutral Same discipline, warmer professional language, no regional expression.

Saved globally at:

~/.pi/gentle-ai/persona.json

A project can still override the global default with:

.pi/gentle-ai/persona.json

/gentle:persona writes the global config and updates an existing project override when one is present, so the current project does not stay stale. Run /reload or start a new Pi session after switching persona.

Model and effort assignment

/gentle:models

The modal discovers:

  • project agents in .pi/subagents/, .pi/agents/, and .agents/;
  • user agents in ~/.pi/agent/subagents/, ~/.pi/agent/agents/, and ~/.agents/.

When applying routing, project agents write runtime profiles to .pi/subagents.json; global and built-in agents write profiles to ~/.pi/agent/subagents.json.

Recommended model/effort shape:

Agent kind Recommended model Recommended effort (thinking)
Explore and mapping Fast and cheap is usually enough. off to low
Implementation Strong coding and tool-use model. medium to high
Verify / review Strong fresh-context model. high
Tiny utilities Inherit active/default model unless they bottleneck. inherit

Saved globally at:

~/.pi/gentle-ai/models.json

Existing project-local .pi/gentle-ai/models.json files are still read as a legacy fallback when no global model config exists, but /gentle:models writes the shared global config.

Inside /gentle:models, press x to export the saved routing to ~/.pi/gentle-ai/models.export.json, or r to restore from that file after confirmation. Export uses a versioned envelope and restore writes the normal models.json shape before applying routing to agents.

Press u to save global agent routing like ctrl+s, then capture that routing plus this session's orchestrator model and thinking level in the current profile. If this session has no model, u falls back to the orchestrator defaults in settings.json; it never changes those defaults. Unlike /gentle:profiles s, which snapshots persisted settings, u captures the live session when available. The panel names the profile u targets: the profile this repository pins when a pin wins, otherwise the globally active profile. When no profiles store exists yet, u seeds it with a current profile the way /gentle:profiles does on first open; when the store exists but nothing is active and nothing is pinned, the global save still happens and the panel points you to /gentle:profiles.

Config shape (per agent):

{
  "gentle-ai-worker": {
    "model": "anthropic/claude-sonnet-4",
    "thinking": "high"
  },
  "gentle-ai-explore": {
    "model": "openai/gpt-5-mini"
  }
}

Legacy string entries are still accepted and treated as model-only config.

Agent-model profiles

/gentle:profiles

Profiles are named, switchable snapshots of the global agent-model routing from /gentle:models. The panel fills the terminal, shows the profile list on the left, and a detail pane comparing the selected profile's routing with the currently effective routing, one line per agent in shared columns. Keys:

Key Action
enter Apply the selected profile to this session only: switch its live orchestrator when defined and bind its subagent and reviewer routing snapshot. Shared defaults and pins are untouched.
a Explicitly set the selected profile as the global default and materialize routing. Inside a pinned repository it updates the clone-local pin instead and leaves the orchestrator unchanged; see Per-repository pins below.
c Create a new, empty profile.
s Snapshot the current routing into the selected profile (including the orchestrator currently set in settings.json); live routing is unchanged.
d Duplicate the selected profile.
r Rename the selected profile (keeps it active if it was active).
x Delete the selected profile (refuses the active profile).
e Export the selected profile to ~/.pi/gentle-ai/profiles.export.json.
i Import a profile from ~/.pi/gentle-ai/profiles.export.json.
p Pin the selected profile to this repository: writes the clone-local pin, so this repository's subagent launches use that profile no matter which profile is globally active. Pressing it again on the pinned profile removes the pin.
P Publish or remove the shared repository declaration at <worktree-root>/.pi/gentle-ai/profile.json, so the whole team starts from that profile in this repository.
j/k, wheel Scroll the detail pane one line at a time (agents-view style).
pgup/pgdn, ctrl+j/ctrl+k Scroll the detail pane by a page.
esc Close.

Selecting a profile with Enter does not write profiles.json, models.json, Pi's global settings.json, agent frontmatter, subagents.json, or repository pins. Other open sessions keep their own bindings and live orchestrators. The session binding overrides pins and global routing as a complete snapshot, including reviewer routing; omitted roles do not fall back to another profile. The binding lasts in the current process (including /reload); resuming in another process requires selecting it again.

Explicitly setting the global default with a writes ~/.pi/gentle-ai/models.json, then reconciles agent frontmatter and subagents.json the same way /gentle:models does. A profile is a complete snapshot: every discoverable agent it omits returns to inherit, so routing materialized by a previous profile, by /gentle:models, or by a migration never survives a switch silently. The reconciliation happens on the next subagent launch, and that launch still routes with the previous routing — expect one launch of lag after switching. The active profile is persisted so /gentle:profiles reopens with the applied profile marked.

A profile also carries the orchestrator under the reserved routing key orchestrator. Enter switches only the live session's model and thinking level. If that model is unavailable or unauthenticated, the notification explains that the live model was kept; the session routing snapshot is still bound. A profile without this entry keeps the live orchestrator unchanged.

Explicit global apply with a on a profile that defines orchestrator writes defaultProvider, defaultModel, and defaultThinkingLevel to Pi's global settings.json (preserving every other key; an unreadable settings.json aborts that part and is reported instead of being overwritten) and switches the session you are in to that model and thinking level right away, so the orchestrator answers with the profile's model from the next turn. When the model is not in Pi's catalog or its provider has no authentication, the default for new sessions is still recorded and the apply note says this session kept its current model. Applying a profile without an orchestrator entry never moves the orchestrator, and s snapshots the currently effective orchestrator together with the routing. orchestrator is reserved: it is not a subagent name, is never written to subagents.json, and is not counted as a role.

The panel's current routing, the current seed, and s all read the routing in effect: models.json where it has an entry, and otherwise the subagents.json model profile or frontmatter routing the runtime actually resolves for that agent. A sparse models.json therefore never hides routing that is still live. When profiles.json is missing, the command seeds one profile named current captured from that effective routing, marked active only when it has routing entries. Profiles or routing entries dropped by normalization are named in a warning instead of being lost silently.

Saved globally at:

~/.pi/gentle-ai/profiles.json

Store shape:

{
  "kind": "gentle-pi.agent_model_profiles",
  "version": 1,
  "active": "deep-work",
  "profiles": {
    "deep-work": {
      "orchestrator": {
        "model": "anthropic/claude-sonnet-4",
        "thinking": "high"
      },
      "gentle-ai-worker": {
        "model": "anthropic/claude-sonnet-4",
        "thinking": "high"
      }
    },
    "current": {}
  }
}

The profiles values use the same per-agent shape as models.json. Profile names are slugs of 1-64 ASCII characters (letters, numbers, ., _, -, starting with a letter or number); names outside ASCII are rejected, as are the reserved object keys __proto__, constructor, and prototype. A rename or duplicate onto an existing name is refused, renaming the active profile keeps it active, and deleting the active profile is refused. Export and import use a single-profile envelope (kind: "gentle-pi.agent_model_profile", version: 1) at ~/.pi/gentle-ai/profiles.export.json.

The store is replaced atomically through a sibling temp file and a rename, so an interrupted write cannot leave truncated JSON behind. Explicit global apply with a writes profiles.json first and then materializes routing; if materialization fails, the previous active marker and the previous routing are restored, and anything that could not be restored is named in the warning.

Per-repository pins

A profile can be pinned to one repository, so that repository's subagent launches use that profile regardless of which profile is globally active. This is what keeps parallel repositories independent: without a pin, switching the active profile in one repository changes the routing every other repository will use for its next subagent launch.

Two pin layers exist, and both hold only a profile name:

Layer Path Written by Git impact
Local pin <git-common-dir>/gentle-ai/profile-pin.json p Invisible to git; every worktree of the clone shares it.
Repository declaration <worktree-root>/.pi/gentle-ai/profile.json P An ordinary repository file; commit it to share the pin with the team.

Both use the same shape, and both are a separate artifact from profiles.json:

{
  "kind": "gentle-pi.agent_model_profile_pin",
  "version": 1,
  "profile": "deep-work"
}

The fullscreen shell header and Status → Project → Profile show the effective profile for the session repository: name (local) for a clone-local pin, name (repo) for a repository declaration, or the global active name without a suffix. Invalid or stale pins fall through to the next valid layer. Changes made inside or outside the profiles panel appear within about two seconds while the UI session is active; the indicator is omitted if no valid profile remains.

For a given working directory the winner is the local pin, then the repository declaration, then no pin. With no pin at all the repository keeps the behavior described above and follows the globally active profile. p and P are toggles: pressing one on the profile that already holds that layer removes it, and either key pressed outside a Git worktree writes nothing and says so.

In a pinned repository the pinned profile governs subagent launches: the agents it names take its model and effort, and the agents it omits return to inherit (their own definition, then the default model). The globally active profile and writes made through /gentle:models do not reach those launches, which /gentle:models reports when it runs inside a pinned repository. enter follows the same boundary: inside a pinned repository it re-pins that repository instead of writing the global routing, so the panel's main key can never move another repository's routing. The panel states which layer won, names the file that holds it, and marks the profile with (pinned).

To share a pin, commit the repository declaration. When .pi/ is ignored, Git cannot re-include a nested file until its parent directories are visible. The panel therefore prints these ordered root .gitignore rules, which keep unrelated .pi content ignored while making only the declaration committable:

!.pi/
.pi/*
!.pi/gentle-ai/
.pi/gentle-ai/*
!.pi/gentle-ai/profile.json

Renaming the profile that is this repository's local pin rewrites the local pin; a repository declaration is never rewritten behind a commit, and the panel says to press P again when it still names the old profile. Deleting a profile is refused while it is the global active profile, this repository's local pin, or this repository's repository declaration. Pins held by other repositories cannot be enumerated from here and are not checked.

A pin that cannot be honored never blocks work and is never destroyed by a read. Running outside a Git worktree, an unreadable or unparseable pin file, and a pin naming a profile the global store does not have are reported in the panel, and the repository falls back to the globally active profile. A missing pin layer is the ordinary no-pin state and stays silent.

The orchestrator sits deliberately outside the pin. Its defaultProvider, defaultModel, and defaultThinkingLevel live in Pi's global settings.json, and a pin never writes them. Pi supports project settings, where .pi/settings.json overrides the global file, so a per-repository orchestrator is possible in principle; it is not done here because it would make Pi treat the repository as having project settings and ask for trust at startup, and because it would only affect new sessions.

One limitation is worth stating. When a pinned profile omits an agent, that agent's own frontmatter still applies, so a model that an earlier global apply materialized into a user agent's frontmatter can still be inherited. Frontmatter cannot be told apart from content an author wrote, so a pin does not clear it.

Commands

Command What it does
/gentle:status Shows package assets and global model config status.
/gentle:doctor Runs read-only diagnostics for assets, model/persona config, memory tools, and safety guards.
/gentle:models Opens global model + effort assignment UI. Press x to export, r to restore saved routing, and u to save routing and capture the session in the current profile.
/gentle:profiles Opens global agent-model profiles: apply live, create, snapshot, duplicate, rename, delete, export, and import.
/gentle:commands Opens the command palette (default alt+k): a curated, grouped menu (Configuration, Session, Diagnostics, Skills) of registered Gentle commands; search and run by label.
/gentle:persona Switches global persona mode, with project override support.
/gentle:background-subagents Shows or sets the managed background-subagents policy (status|enable|disable), naming the source that decided it.
/gentle:double-esc-cancel Shows or sets the double-esc-cancel preference (status|enable|disable); no argument toggles it.
/gentle:animations Shows or sets global animations (status|quality|performance|potato); no argument opens a selector.
/gentle:vim Shows or sets opt-in prompt Vim mode (status|enable|disable); no argument opens a selector.
/gentle:telemetry Shows or changes the local Gentle AI telemetry trigger (status|enable|disable|preview).
/gentle:review-mode Shows or sets the receipt-driven development mode (status|enable|disable); user-initiated only, Pi automation never toggles it.
/gentle:banner Configures startup banner rose, text logo, and color preset.
/gentle:toggle-rose Toggles the startup rose.
/gentle:toggle-text-logo Toggles the startup text logo.
/gentle:banner-color Selects a startup banner color preset.
/gentle:install-delegation Installs missing global delegation agents only; --force refreshes managed copies.
/gentle:install-review Installs missing global review agents and chains only; --force refreshes managed copies.
/skill-registry:refresh Regenerates .atl/skill-registry.md.
/skill-creation Creates or updates an LLM-first skill using the packaged gentle-ai-skill-creator contract and style guide.

Startup installs and refreshes delegation and review assets. Status and doctor identify missing or stale managed assets and the relevant repair command. User and project overrides are reported separately from package drift. Package refresh preserves overrides; explicit saved model settings may still update packaged or custom-agent routing at startup.

Native cache warming (Pi 0.86.1+)

To allow warming while the parent waits for background results, explicitly set "cacheWarming": "idle" in Pi's settings.json (user scope: ~/.pi/agent/settings.json, or project scope: .pi/settings.json). Gentle Shell never changes this setting. Native "streaming" mode stops when the agent settles: no idle decision is offered for this hook to override. "off" remains an opt-out.

Pi owns provider cache-lifetime eligibility, safe replay, scheduling, and the fixed 30-minute idle / one-hour streaming horizons. Unknown provider lifetimes do not get inferred. Real provider requests replace Pi's schedule; Gentle Shell adds no timer or maintenance message. Refresh usage stays outside model context. Warming is best-effort, not a guarantee of a future cache hit.

Ordinary idle decisions retain Pi's 15% continuation assumption. When the active parent owns queued or running background tasks, Gentle Shell treats continuation probability as 1, but still requires estimated cache-miss savings minus refresh cost to be at least $0.05. Restored, foreign-session, foreground, waiting-for-input, and finished tasks do not strengthen that decision. This only overrides candidates Pi actually offers; it never starts, inspects, polls, steers, or duplicates children.

Completion remains push-driven through gentle-agents.result. Retain the task ID, end the parent turn when independent work is done, and never sleep or periodically poll status/results to maintain cache or detect completion. Status inspection is for a concrete orchestration decision, not a heartbeat.

Background subagents policy

Background delegation requires a live interactive/RPC parent and is rejected in the single-shot modes pi -p and pi --mode json, even when the policy is on. Use task mode for bounded single-shot work.

With the policy on, subagent_run defaults to mode: "background" at the runtime level in interactive and RPC sessions; print and json modes keep task regardless of the policy, since pi -p and pi --mode json exit before a parent session can receive a background result. mode: "task" remains available as an explicit opt-in for work that must ask the human mid-flight, such as a dialog-driven task or one the caller wants to wait on.

Background delegation is off unless you turn it on. The policy is user-owned: only an explicit /gentle:background-subagents enable or disable writes it, and Pi automation never toggles it.

/gentle:background-subagents           Report the effective policy, the deciding source, and the resolved capability.
/gentle:background-subagents enable    Write "on" to the global file.
/gentle:background-subagents disable   Write "off" to the global file.

Four sources can decide the policy, and the first hit wins:

Priority Source Notes
1 <cwd>/.pi/gentle-ai/background-subagents.json Project file. Outranks everything, including a global write.
2 <configHome>/background-subagents.json Global file, written by enable/disable. configHome honors GENTLE_PI_CONFIG_HOME and defaults to ~/.pi/gentle-ai.
3 GENTLE_PI_BACKGROUND_SUBAGENTS Exactly on or off. Any other value is ignored.
4 Built-in default off.

Both files use the strict shape {"schema":"gentle-pi.background-subagents/v1","policy":"on"}. A file that is present but malformed fails closed to off and is not skipped in favor of a lower-priority source, so a typo in the project file disables background subagents rather than silently handing the decision to the global file. The command reports that case as a warning instead of an ordinary off.

Because the project file outranks the global one, enable still writes the global file but reports plainly when a project file keeps the effective policy unchanged. The resolved capability (ready or absent) reports whether subagent_run is actually callable in this session; a policy of on with capability absent means Gentle Agents is disabled or the retired subagents package is still installed.

Esc behavior

The Gentle prompt matches Claude Code's Esc model on top of Pi's own. Four flows share the frame's single hint slot on the bottom rule, each decided by its own state:

  1. Working: cancel keeps the queue moving. Esc aborts the running turn (a single Esc by default, or the confirming second Esc when double-esc-cancel below is enabled). Any steer or follow-up messages queued while the turn ran are sent as the next turn once the abort settles, instead of being dumped back into the editor for the user to notice and resend by hand; if another turn starts first (for example the user sends the restored draft before the abort has fully settled), the queued text simply waits and is sent once that turn settles, so it is never lost and never injected mid-turn. The user's own unsent draft stays in the editor untouched. Completed work before the abort is preserved, as Pi already does. Images inside a queued message are dropped, because Pi's own restore already drops them before this code ever sees the text. If Pi ever restores a shape this code does not recognize, Pi's own text is left exactly as written and nothing is dispatched, rather than guessing.
  2. Working: double-esc-cancel (opt-in, off by default). While the prompt is working (autocomplete hidden), a single Esc still aborts the turn immediately by default, exactly like Pi's own escape. Once enabled, the first Esc is swallowed and the prompt frame shows esc again to cancel; a second Esc within 1000ms falls through so Pi's own onEscape performs the abort (and flow 1 above still applies to that second Esc). Letting the window expire treats the next Esc as a first press again.
  3. Idle with a draft: double Esc clears it. With the prompt idle, autocomplete hidden, and non-empty editor text, the first Esc shows esc again to clear instead of doing nothing; a second Esc within 500ms, on the exact same text, adds the draft to history (recoverable with the Up arrow) and clears it. Editing the draft between the two presses starts a fresh first press on the new text instead of clearing the edit away. Letting the window expire treats the next Esc as a first press again. A bash-mode draft (starting with !) is never touched by this gate; Pi's own bash-mode Esc keeps deciding it.
  4. Idle, empty editor: unchanged. Pi's own idle double-Esc (/tree or /fork, 500ms) keeps deciding this case entirely; the prompt never intercepts it.

Overlays, autocomplete cancel, and bash mode all consume the first Esc locally and are unaffected by any of the four flows above.

Double-esc-cancel's policy is user-owned: only an explicit /gentle:double-esc-cancel enable or disable writes it, and Pi automation never toggles it.

/gentle:double-esc-cancel           Toggle the effective policy (on -> off, off -> on).
/gentle:double-esc-cancel status    Report the effective policy and the deciding source.
/gentle:double-esc-cancel enable    Write "on" to the global file.
/gentle:double-esc-cancel disable   Write "off" to the global file.

Unlike /gentle:background-subagents, no argument here reports status; it toggles the effective policy instead, since this preference has only one file layer and nothing else can outrank a write.

Three sources can decide the policy, and the first hit wins:

Priority Source Notes
1 <configHome>/double-esc-cancel.json Global file, written by enable/disable. configHome honors GENTLE_PI_CONFIG_HOME and defaults to ~/.pi/gentle-ai. There is no project-level override: this preference changes what a keypress does, and per-project overrides would make the same key do two different things depending on which repo is open.
2 GENTLE_PI_DOUBLE_ESC_CANCEL Exactly on or off. Any other value is ignored, and it decides only when the global file does not exist.
3 Built-in default off.

The file uses the strict shape {"schema":"gentle-pi.double-esc-cancel/v1","policy":"on"}. A file that is present but malformed fails closed to off instead of falling through to the environment variable, and the command reports that case as a warning instead of an ordinary off. The extension resolves the policy once at startup and updates it in memory when the command runs; the prompt never re-reads the file on every keypress.

Animation modes

Use /gentle:animations performance to reduce redraw frequency, or /gentle:animations potato to stop Gentle-owned periodic animation. Find Animation mode under the command palette's Configuration group. /gentle:animations and /gentle:animations status report the effective mode and deciding source without writing; /gentle:animations quality restores the default.

Mode Working prompt Startup banner
quality (default) Existing frames every 80ms Existing animation every 25ms
performance One animation pulse every 1000ms One paint every 250ms, advancing 10 logical ticks to retain approximately the original duration
potato Static idle/working/queued state, no animation interval Completed static artwork immediately, no animation interval

The selection is global: <configHome>/animations.json, where configHome honors GENTLE_PI_CONFIG_HOME and defaults to ~/.pi/gentle-ai. The strict file shape is {"schema":"gentle-pi.animations/v1","policy":"quality"}. There is no project or environment mode override. Missing files use quality; malformed or unreadable files also fall back to quality, with an attributable warning in status, and are not silently rewritten.

A successful command applies to the live prompt immediately, including while working. Starting and settling still request immediate renders. Pi owns enqueue repaint scheduling; Gentle shows the current queued state on the next host render without requiring an animation tick. A running startup banner retains its creation-time policy; the new selection applies at the next banner creation. Operational polling, refresh/debounce timers, Pi core animations, and install-time tuiMode are unchanged.

Vim prompt editing

/gentle:vim enable opts only the Gentle-owned prompt into modal editing; /gentle:vim disable restores ordinary Pi editing. /gentle:vim status reads the persisted preference and deciding source without writing, and reports the effective mode of the current Gentle prompt separately. With no argument, an interactive selector offers enable, disable, and status; headless use reports status. The global <configHome>/vim.json (default config home ~/.pi/gentle-ai, overridable with GENTLE_PI_CONFIG_HOME) uses the strict shape {"schema":"gentle-pi.vim/v1","policy":"on"} or off. Missing means off; malformed or unreadable files warn and fall back to off without being rewritten. Enable/disable persist globally; compatible owned prompts apply the preference immediately. On compatibility rejection the on preference remains saved, but the active prompt stays in ordinary editing and the command never claims it applies now. Without an active Gentle prompt, the command reports that the preference will be tried at next prompt creation. A foreign editor is never replaced.

The frame labels INSERT, NORMAL, VISUAL (characterwise), or VISUAL LINE (linewise); narrow frames may omit the hint. INSERT uses Pi's normal input. Escape first leaves INSERT for NORMAL without aborting a running turn or clearing a draft. Escape in VISUAL or with a pending command cancels that selection/command first; a later Escape in plain NORMAL follows Gentle's existing working-cancel/queue or idle-draft clear behavior (including the configured double-Escape confirmation). Autocomplete and ! bash drafts retain Pi's input/Escape handling. Ctrl+[ acts as Escape only where Pi delivers it as Escape.

Mode Supported keys in this prompt
NORMAL → INSERT i/I/a/A insert at cursor/first nonblank/after cursor/end; o/O open a line below/above.
NORMAL navigation Counts where accepted; h/j/k/l, Space, w/e/b, 0/^/$, gg/G, and same-line f/F/t/T with ;/, repeat. Motions use grapheme boundaries on Unicode and multiline drafts; they do not search prompt history.
NORMAL editing x, s/S, J, p/P, d/c/y with repeat for whole lines, word/line/find motions, and supported text objects (iw/aw, iW/aW, paired quotes/backticks/brackets); >>/<< and supported motion-based >/< indent/dedent lines. A yank fills this prompt's register.
VISUAL v selects characters, V selects lines; motions and o adjust the range. d/x, c/s, y, p, >/<, J, ~/u/U, and r act on the selection; i/a with word/WORD or quote/bracket selects a text object in characterwise VISUAL. No blockwise visual selection.
Undo/repeat NORMAL u undoes prompt editor changes; . repeats supported completed NORMAL edits and insert/change sessions at the current cursor (counts supported). Each supported insert session or repeat is grouped as one undo unit. VISUAL u lowercases the selection instead of undoing. VISUAL edits are not dot-repeatable.

Deliberate / divergence from Claude Code: NORMAL / hands off to Pi's native slash commands and skills, enters INSERT, and inserts / at the existing cursor. Pi offers slash completion only at the start of the first line; elsewhere it inserts a literal slash without moving or replacing the draft. There is no reverse prompt-history search. Pi's explicit history shortcuts still work, transferring to INSERT first. Unknown NORMAL printable input, encoded text and bracketed paste do not silently insert; application shortcuts can transfer to INSERT before acting.

This is a bounded command subset, not full Claude Code/Vim parity. The private editor adapter supports only the audited Pi coding-agent/TUI 0.99.1, 0.99.2, and 1.0.0 package pairs. The two 0.99 releases have byte-identical editor and undo-stack sources. Pi 1.0.0 is separately audited against the touched state, paste/history, cursor/layout, autocomplete and undo-snapshot contracts; actual bundled and unbundled 1.0.0 tests prove identity, edit/undo, paste, selection, wrapping/scroll and autocomplete behavior, not old/new byte identity. Fabricated metadata tests preserve exact-version admission coverage for the older audited releases. Version metadata must come from a canonical candidate host package root whose actual CustomEditor and Editor classes match the loaded classes, never from the extension's local metadata or CLI path alone. Unknown versions, mismatched prototypes, or invalid layouts fail closed: a single compatibility warning is shown and the prompt continues with ordinary editing instead of silently entering inert NORMAL mode. Operations that would cross a registered collapsed paste marker, or encounter duplicate occurrences of a registered marker ID, are rejected without editing it. Visual highlighting relies on Pi's render layout and may be omitted if its geometry cannot be validated. No live-terminal proof of every layout or complete parity is claimed.

Startup banner settings remain global in banner.json under GENTLE_PI_CONFIG_HOME (default ~/.pi/gentle-ai). Existing showRose and showTextLogo opt-outs independently control the main startup artwork; both default to enabled. Changes apply on the next session or /reload. Color presets are pink (default), cyan, yellow, and green. The static sidebar heading is independent of these preferences and follows the active theme.

Startup flag:

pi --no-skill-registry

Use it when you want skills available normally but do not want Gentle AI to refresh/watch .atl/skill-registry.md on startup. pi -ns / pi --no-skills also skip the registry startup work because Pi is already disabling skill loading.

Included skills

  • gentle-ai — harness discipline for controlled Pi work.
  • gentle-ai-branch-pr — issue-first PR preparation.
  • gentle-ai-chained-pr — split oversized changes into reviewable PR chains.
  • work-unit-commits — commits as reviewable work units.
  • gentle-ai-judgment-day — blind dual review, fixes, and re-judgment.
  • cognitive-doc-design — documentation that reduces cognitive load.
  • comment-writer — concise, warm, postable collaboration comments.
  • gentle-ai-issue-creation — issue workflow with checks before creation.
  • gentle-ai-skill-creator — create LLM-first skills with valid frontmatter.
  • gentle-ai-skill-improver — audit and upgrade existing LLM-first skills.

Memory

gentle-pi does not provide persistent memory by itself.

For memory, install the companion package:

pi install npm:gentle-engram

When memory tools are actually active, el Gentleman can save decisions, bug fixes, discoveries, user prompts, and session summaries across Pi sessions.

For large ODD work, the parent reconciles the full odd/tasks/<feature-name>.md document with its odd/<feature-name>/tasks Engram mirror when memory is available. It passes relevant context to subagents; subagents save significant verified discoveries and completed work before returning, without independently searching unrelated memory.

Telemetry

gentle-pi observes approved sanitized runtime usage fields in memory and asynchronously invokes gentle-ai telemetry runtime send --json once per accepted event. It never persists metric data, retries, or waits for delivery in provider callbacks; busy or failed attempts are silently discarded. gentle-ai owns native delivery and the existing opt-out policy. See Telemetry for fields and source limitations.

Separately, at primary session start (never for a named subagent), Gentle Pi asks the local gentle-ai binary to handle its own install/heartbeat telemetry: it spawns gentle-ai telemetry trigger --json detached, with a 3 s deadline, discards its output, and never blocks session start or surfaces an error — an older binary without the verb is silently treated as nothing to do. This runs at most once per process.

Install counts for gentle-pi and gentle-engram come from npm download statistics; the package itself never emits an install event.

To opt out:

  • /gentle:telemetry disable — asks the local gentle-ai binary to disable telemetry (also status and preview to inspect it without leaving Pi).
  • DO_NOT_TRACK=1 — Gentle Pi suppresses runtime usage telemetry and the install/heartbeat trigger; gentle-ai also honors this standard independently.
  • GENTLE_AI_TELEMETRY=0 — same effect, gentle-ai's own environment switch.

CI=true also suppresses runtime usage telemetry and the trigger, since automated runs are not a real usage signal.

Package contents

Path Purpose
extensions/gentle-ai.ts Injects identity, orchestrates native review authority, refreshes delegation/review assets at startup, registers commands, applies model/persona config, and enforces runtime safety.
lib/native-review-cli.ts Strict package-local adapter for Gentle AI review and status contracts.
lib/review-integration-v2.ts Strict consumer decoder for negotiated capabilities, operations, target status, projections, repair, and failures against contract review-integration/v2 (active today).
lib/review-candidate-view.ts Builds immutable changed-scope actor views while preserving full-tree, path, mode, symlink, and index integrity.
lib/review-canonical.ts Permanent Pi-owned canonical JSON and domain-hash primitives for consumer-side identities.
lib/review-repository.ts Permanent Pi-owned Git common-directory identity, safe Git environment, and authority-root binding.
lib/gentle-ai-binary.ts Resolves and verifies the confined package-local Gentle AI runtime without global or PATH fallback.
scripts/gentle-ai-installer.mjs Installs signed Darwin/Linux archives or exact Go SumDB-verified Windows source builds into the package-local runtime.
contracts/review-integration/v1/ Byte-identical provider schemas and conformance fixtures for contract review-integration/v1, hash-checked before packaging; retained on disk permanently because /v2's schemas $ref into these fragments.
contracts/review-integration/v2/ Byte-identical provider schemas and conformance fixtures for contract review-integration/v2 (immutable base_tree/candidate_tree, ordered changed_path_manifest, no inline candidate diff), hash-checked before packaging.
extensions/startup-banner.ts Shows and configures the startup intro, color presets, and compact runtime panel.
extensions/skill-registry.ts Maintains .atl/skill-registry.md from project/user skills and closes file watchers on shutdown.
assets/orchestrator.md Parent-session orchestration contract (always-on core).
assets/orchestrator-delegation.md Lazy-loaded delegation and routing detail, including the mirrored gentle-ai canon; indexes the per-mechanism modules below.
assets/orchestrator-tracking.md Lazy-loaded large-task ODD tracking: authorization, research, checks and consent, phase signaling, RDD assess, delivery.
assets/orchestrator-verification.md Lazy-loaded Verification rule, native risk tiers, and writer verification contract.
assets/orchestrator-writer.md Lazy-loaded allowed edit surfaces and Judgment Day fix dispatch.
assets/orchestrator-prompts.md Lazy-loaded lossless blocking-prompt relays and Gentle AI provider defect handoff.
assets/orchestrator-memory.md Lazy-loaded ODD feature continuity and memory lifecycle rules.
assets/orchestrator-skills.md Lazy-loaded skill registry fallback semantics and intent-driven skill discovery.
assets/agents/ Delegation and review agents installed as global Pi runtime assets.
assets/chains/ Review chains installed as global Pi runtime assets.
assets/support/ Strict TDD support docs for delegated implementation and verification.
skills/ Gentle AI delivery and collaboration skills.
prompts/ The /skill-creation prompt template.
docs/skill-style-guide.md Normative style guide used by the packaged skill creation/improvement skills.
docs/native-authority-architecture.md Post-U8 ownership boundary, reproducible slimming metrics, Windows evidence, exact #191 seam, and the review-integration/v1→v2 migration status, including the "compact-v2" naming disambiguation.
docs/review-integration.md Negotiated provider/consumer contract and the current Gentle Pi adoption boundary.

Development

Install from this repo:

pi install .

Validate before publishing:

pnpm test
bun build extensions/skill-registry.ts --target=node --format=esm --outfile=/tmp/skill-registry.js
node --experimental-strip-types --check extensions/gentle-ai.ts
node --experimental-strip-types --check extensions/startup-banner.ts
npm pack --dry-run

Cross-lane checks

tests/crosslane/cross-lane.mjs (run with pnpm test:cross-lane) is a single fixture parity check, not a live battery. It imports decodeReviewLastEventClosureV1 from the pinned decoder lane, decodes the vendored fixture tests/fixtures/devbinary/last-event-capture-result-approved.captured.json, asserts the approved review/capture-result closure shape (operation, state, and the sha256: store revision), and exits. It needs no gentle-ai binary and runs offline; the pinned decoder lane only ever sees vendored fixtures.

The live cross-lane battery — end-to-end lifecycle checks against a real gentle-ai binary, out of CI on purpose — is a contributor tool of the provider repository: scripts/cross-lane-battery.sh in Gentleman-Programming/gentle-ai. Run it from a checkout or worktree of that repository, not from this one.

Publish npm through GitHub Actions only:

version="$(node -p "require('./package.json').version")"
tag="v${version}"
git fetch --no-tags origin "refs/tags/${tag}"
test "$(git rev-parse 'FETCH_HEAD^{commit}')" = "$(git rev-parse "${tag}^{commit}")"
gh workflow run publish.yml \
  --repo Gentleman-Programming/gentle-shell \
  --ref main \
  -f tag="${tag}"
gh run watch <run-id> --repo Gentleman-Programming/gentle-shell --exit-status
npm view gentle-pi@<version> version --registry=https://registry.npmjs.org/
npm dist-tag ls gentle-pi --registry=https://registry.npmjs.org/

Do not run npm publish locally for gentle-pi. Dispatch the trusted workflow definition only from protected default main and provide its sole tag input. The workflow requires an exact annotated vSemVer tag whose peeled commit, current remote main, dispatch/main workflow commit, checkout, and package.json version are identical. It rechecks remote tag and main immediately before publishing through OIDC with provenance and environment protection; an advanced main requires a new release version, never a moved tag.

Principles

  • Human control over agent momentum.
  • Concepts before code.
  • Artifacts over floating chat context.
  • ODD for development work, with recoverable progress for large changes.
  • TDD from configured mode or explicit choice, not test presence.
  • One parent orchestrator, focused subagents.
  • Reviewable changes over giant diffs.